181
2016 American Community Survey 1-Year Estimates Ranking Tables Table Number Table Name (Click on the table number to go to corresponding table) R201 Percent of the Total Population Who Are White Alone R202 Percent of the Total Population Who Are Black or African American Alone R203 Percent of the Total Population Who Are American Indian and Alaska Native Alone R204 Percent of the Total Population Who Are Asian Alone R205 Percent of the Total Population Who Are Native Hawaiian and Other Pacific Islander Alone R206 Percent of the Total Population Who Are Some Other Race Alone R207 Percent of Population Who Are Two or More Races R208 Percent of The Total Population Who Are Two or More Races Excluding Some Other Race R209 Percent of The Total Population Who Are White Alone, Not Hispanic or Latino R501 Percent of People Who Are Foreign Born R502 Percent of Foreign-born People Born in Europe R503 Percent of Foreign-born People Born in Asia R504 Percent of Foreign-born People Born in Latin America R505 Percent of Foreign-born People Born in Mexico R601 Percent of the Native Population Born in their State of Residence (Including Puerto Rico) R701 Percent of People 1 Year and Over Who Lived in a Different House in Either The U.S. or Puerto Rico 1 Year Ago R702 Percent of People 1 Year and Over Who Lived in a Different House Within the Same State (Including Puerto Rico) 1 Year Ago R703 Percent of People 1 Year and Over Who Lived in a Different State (Including Puerto Rico) 1 Year Ago R801 Mean Travel Time to Work of Workers 16 Years and Over Who Did Not Work at Home (Minutes) R802 Percent of Workers 16 Years and Over Who Traveled to Work by Car, Truck, or Van–Drove Alone R803 Percent of Workers 16 Years and Over Who Traveled to Work by Car, Truck, or Van–Carpooled R804 Percent of Workers 16 Years and Over Who Traveled to Work by Public Transportation (Excluding Taxicab) R805 Percent of Workers 16 Years and Over Who Worked Outside County of Residence R1001 Percent of Grandparents Responsible for their Grandchildren R1101 Percent of Households That are Married-Couple Families R1102 Percent of Households That are Married-Couple Families With Own Children Under 18 Years R1103 Percent of Households With One or More People Under 18 Years R1104 Percent of Households With One or More People 65 Years and Over R1105 Average Household Size R1106 Percent of Households That Are Multigenerational R1201 Percent of Men 15 Years and Over Who Were Never Married R1202 Percent of Women 15 Years and Over Who Were Never Married R1203 Ratio of Unmarried Men 15 To 44 Years Per 100 Unmarried Women 15 to 44 Years R1204 Median Age at First Marriage for Men R1205 Median Age at First Marriage for Women R1251 Marriage Rate Per 1,000 Women 15 Years and Over (Marriages In The Last Year Per 1,000 Women) R1252 Marriage Rate Per 1,000 Men 15 Years and Over (Marriages In The Last Year Per 1,000 Men) R1253 Divorce Rate Per 1,000 Women 15 Years and Over (Divorces In The Last Year Per 1,000 Women) R1254 Divorce Rate Per 1,000 Men 15 Years and Over (Divorces In The Last Year Per 1,000 Men) R1303 Women 15 to 50 Years Old Who Had a Birth In The Past 12 Months (Per 1,000 Women) R1304 Total Fertility Rate of Women 15 to 50 Years Old Who Had a Birth in the Past 12 Months (Per 1,000 Women) R1501 Percent of People 25 Years and Over Who Have Completed High School (Includes Equivalency) R1502 Percent of People 25 Years and Over Who Have Completed a Bachelor’s Degree R1503 Percent of People 25 Years and Over Who Have Completed an Advanced Degree R1601 Percent of People 5 Years and Over Who Speak a Language Other Than English at Home R1602 Percent of People 5 Years and Over Who Speak Spanish at Home R1603 Percent of People 5 Years and Over Who Speak English Less Than “Very Well” R1701 Percent of People Below Poverty Level in the Past 12 Months (For Whom Poverty Status is Determined) R1702 Percent of Related Children Under 18 Years Below Poverty Level in the Past 12 Months R1703 Percent of People 65 Years and Over Below Poverty Level in the Past 12 Months R1704 Percent of Children Under 18 Years Below Poverty Level in the Past 12 Months (For Whom Poverty Status is Determined) R1810 Percent of People With a Disability R1811 Employment to Population Ratio for People With a Disability R1901 Median Household Income (In 2016 Inflation-Adjusted Dollars)

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Page 1: 2016 American Community Survey 1-Year Estimates Ranking …files.hawaii.gov/dbedt/census/acs/ACS2016/ACS2016...2016 American Community Survey 1-Year Estimates Ranking Tables Table

2016 American Community Survey 1-Year Estimates Ranking Tables

Table Number Table Name

(Click on the table number to go to corresponding table)

R201 Percent of the Total Population Who Are White Alone R202 Percent of the Total Population Who Are Black or African American Alone R203 Percent of the Total Population Who Are American Indian and Alaska Native Alone R204 Percent of the Total Population Who Are Asian Alone R205 Percent of the Total Population Who Are Native Hawaiian and Other Pacific Islander Alone R206 Percent of the Total Population Who Are Some Other Race Alone R207 Percent of Population Who Are Two or More Races R208 Percent of The Total Population Who Are Two or More Races Excluding Some Other Race R209 Percent of The Total Population Who Are White Alone, Not Hispanic or Latino R501 Percent of People Who Are Foreign Born R502 Percent of Foreign-born People Born in Europe R503 Percent of Foreign-born People Born in Asia R504 Percent of Foreign-born People Born in Latin America R505 Percent of Foreign-born People Born in Mexico R601 Percent of the Native Population Born in their State of Residence (Including Puerto Rico) R701 Percent of People 1 Year and Over Who Lived in a Different House in Either The U.S. or Puerto Rico 1 Year Ago R702 Percent of People 1 Year and Over Who Lived in a Different House Within the Same State (Including Puerto Rico) 1 Year AgoR703 Percent of People 1 Year and Over Who Lived in a Different State (Including Puerto Rico) 1 Year Ago R801 Mean Travel Time to Work of Workers 16 Years and Over Who Did Not Work at Home (Minutes) R802 Percent of Workers 16 Years and Over Who Traveled to Work by Car, Truck, or Van–Drove Alone R803 Percent of Workers 16 Years and Over Who Traveled to Work by Car, Truck, or Van–Carpooled R804 Percent of Workers 16 Years and Over Who Traveled to Work by Public Transportation (Excluding Taxicab) R805 Percent of Workers 16 Years and Over Who Worked Outside County of Residence R1001 Percent of Grandparents Responsible for their Grandchildren R1101 Percent of Households That are Married-Couple Families R1102 Percent of Households That are Married-Couple Families With Own Children Under 18 Years R1103 Percent of Households With One or More People Under 18 Years R1104 Percent of Households With One or More People 65 Years and Over R1105 Average Household Size R1106 Percent of Households That Are Multigenerational R1201 Percent of Men 15 Years and Over Who Were Never Married R1202 Percent of Women 15 Years and Over Who Were Never Married R1203 Ratio of Unmarried Men 15 To 44 Years Per 100 Unmarried Women 15 to 44 Years R1204 Median Age at First Marriage for Men R1205 Median Age at First Marriage for Women R1251 Marriage Rate Per 1,000 Women 15 Years and Over (Marriages In The Last Year Per 1,000 Women) R1252 Marriage Rate Per 1,000 Men 15 Years and Over (Marriages In The Last Year Per 1,000 Men) R1253 Divorce Rate Per 1,000 Women 15 Years and Over (Divorces In The Last Year Per 1,000 Women) R1254 Divorce Rate Per 1,000 Men 15 Years and Over (Divorces In The Last Year Per 1,000 Men) R1303 Women 15 to 50 Years Old Who Had a Birth In The Past 12 Months (Per 1,000 Women) R1304 Total Fertility Rate of Women 15 to 50 Years Old Who Had a Birth in the Past 12 Months (Per 1,000 Women) R1501 Percent of People 25 Years and Over Who Have Completed High School (Includes Equivalency) R1502 Percent of People 25 Years and Over Who Have Completed a Bachelor’s Degree R1503 Percent of People 25 Years and Over Who Have Completed an Advanced Degree R1601 Percent of People 5 Years and Over Who Speak a Language Other Than English at Home R1602 Percent of People 5 Years and Over Who Speak Spanish at Home R1603 Percent of People 5 Years and Over Who Speak English Less Than “Very Well” R1701 Percent of People Below Poverty Level in the Past 12 Months (For Whom Poverty Status is Determined)R1702 Percent of Related Children Under 18 Years Below Poverty Level in the Past 12 MonthsR1703 Percent of People 65 Years and Over Below Poverty Level in the Past 12 MonthsR1704 Percent of Children Under 18 Years Below Poverty Level in the Past 12 Months (For Whom Poverty Status is Determined) R1810 Percent of People With a Disability R1811 Employment to Population Ratio for People With a Disability R1901 Median Household Income (In 2016 Inflation-Adjusted Dollars)

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Table Number Table Name

R1902 Median Family Income (In 2016 Inflation-Adjusted Dollars) R1903 Percent of Households With Retirement Income R1904 Percent of Households With Cash Public Assistance Income R2001 Median Earnings for Male Full-Time, Year-Round Workers (In 2016 Inflation-Adjusted Dollars) R2002 Median Earnings for Female Full-Time, Year-Round Workers (In 2016 Inflation-Adjusted Dollars) R2101 Percent of The Civilian Population 18 Years and Over Who Are Veterans R2201 Percent of Households That Receive Food Stamps / SNAP R2301 Percent of People 16 to 64 Years Who Are in the Labor Force (Including Armed Forces) R2302 Percent of Children Under 6 Years Old With All Parents in The Labor Force R2303 Employment/Population Ratio for the Population 16 to 64 Years Old R2304 Percent of Married-Couple Families With Both Husband and Wife in the Labor Force R2401 Percent of Civilian Employed Population 16 Years and Over in Management, Business, and Financial Occupations R2403 Percent of Civilian Employed Population 16 Years and Over in Service Occupations R2404 Percent of Civilian Employed Population 16 Years and Over in the Manufacturing Industry R2405 Percent of Civilian Employed Population 16 Years And Over in the Information Industry R2406 Percent of Civilian Employed Population 16 Years And Over Who Were Private Wage And Salary Workers R2407 Percent of Civilian Employed Population 16 Years And Over in Computer, Engineering, and Science Occupations R2408 Percent of Civilian Employed Population 16 Years And Over in Healthcare Practitioners and Technical Occupations R2501 Percent of Housing Units That Are Mobile Homes R2502 Percent of Housing Units That Were Built in 2014 or Later R2503 Percent of Housing Units That Were Built in 1939 or Earlier R2504 Percent of Occupied Housing Units That Were Moved into in 2015 or Later R2505 Percent of Occupied Housing Units With Gas As Principal Heating Fuel R2506 Percent of Occupied Housing Units With Electricity As Principal Heating Fuel R2507 Percent of Occupied Housing Units With Fuel Oil, Kerosene, Etc. As Principal Heating Fuel R2509 Percent of Occupied Housing Units With 1.01 Or More Occupants Per Room R2510 Median Housing Value of Owner-Occupied Housing Units (Dollars) R2511 Median Monthly Housing Costs for Owner-Occupied Housing Units With a Mortgage (Dollars) R2512 Percent of Occupied Housing Units that are Owner-Occupied R2513 Percent of Mortgaged Owners Spending 30 Percent or More of Household Income on Selected Monthly Owner Costs R2514 Median Monthly Housing Costs for Renter-Occupied Housing Units (Dollars) R2515 Percent of Renter-Occupied Units Spending 30 Percent or More of Household Income on Rent and Utilities R2701 Percent Without Health Insurance Coverage R2702 Percent of Children Without Health Insurance Coverage R2801 Percent of Households With a Broadband Internet Subscription

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R0201 PERCENT OF THE TOTAL POPULATION WHO ARE WHITE ALONE - United States -- States; andPuerto RicoUniverse: Total population2016 American Community Survey 1-Year Estimates

Supporting documentation on code lists, subject definitions, data accuracy, and statistical testing can be found on the American Community Surveywebsite in the Data and Documentation section.

Sample size and data quality measures (including coverage rates, allocation rates, and response rates) can be found on the American CommunitySurvey website in the Methodology section.

Tell us what you think. Provide feedback to help make American Community Survey data more useful for you.

Although the American Community Survey (ACS) produces population, demographic and housing unit estimates, it is the Census Bureau's PopulationEstimates Program that produces and disseminates the official estimates of the population for the nation, states, counties, cities and towns andestimates of housing units for states and counties.

To view this table with statistical significance, select With Statistical Significance in the Action menu.A # next to a geography indicates when an estimate is not statistically significant from the estimate for the selected geography.The ## indicates the selected geography.

Rank Geographical Area Percent Margin of ErrorUnited States 72.6 +/-0.1

1 Maine 94.4 +/-0.11 Vermont 94.4 +/-0.23 New Hampshire 93.4 +/-0.24 West Virginia 93.1 +/-0.15 Wyoming 92.0 +/-0.46 Iowa 90.4 +/-0.27 Idaho 89.7 +/-0.48 Montana 89.0 +/-0.29 Nebraska 87.8 +/-0.310 North Dakota 87.2 +/-0.411 Kentucky 87.1 +/-0.112 Utah 86.3 +/-0.313 Wisconsin 85.5 +/-0.114 South Dakota 84.7 +/-0.315 Kansas 84.6 +/-0.316 Oregon 84.4 +/-0.317 Colorado 84.0 +/-0.218 Indiana 83.5 +/-0.219 Minnesota 83.3 +/-0.120 Missouri 82.3 +/-0.121 Ohio 81.6 +/-0.122 Pennsylvania 80.9 +/-0.123 Rhode Island 80.5 +/-0.624 Massachusetts 78.5 +/-0.224 Michigan 78.5 +/-0.126 Tennessee 77.8 +/-0.127 Connecticut 76.7 +/-0.328 Arkansas 76.6 +/-0.2

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Rank Geographical Area Percent Margin of Error29 Arizona 75.8 +/-0.330 Washington 75.7 +/-0.231 Florida 75.6 +/-0.132 Texas 74.3 +/-0.133 New Mexico 74.0 +/-0.634 Oklahoma 72.4 +/-0.235 Illinois 71.3 +/-0.236 Delaware 69.2 +/-0.537 North Carolina 68.9 +/-0.138 Alabama 68.2 +/-0.139 New Jersey 68.1 +/-0.340 Virginia 67.8 +/-0.141 South Carolina 67.4 +/-0.242 Nevada 66.9 +/-0.543 Alaska 64.4 +/-0.444 New York 63.5 +/-0.245 Louisiana 62.0 +/-0.146 California 59.7 +/-0.247 Georgia 58.7 +/-0.248 Mississippi 58.5 +/-0.149 Maryland 56.5 +/-0.250 District of Columbia 40.7 +/-0.551 Hawaii 25.1 +/-0.4

Puerto Rico 66.8 +/-0.6

Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability isrepresented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpretedroughly as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin oferror (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject tononsampling error (for a discussion of nonsampling variability, see Accuracy of the Data). The effect of nonsampling error is not represented in thesetables.

While the 2016 American Community Survey (ACS) data generally reflect the February 2013 Office of Management and Budget (OMB) definitions ofmetropolitan and micropolitan statistical areas; in certain instances the names, codes, and boundaries of the principal cities shown in ACS tables maydiffer from the OMB definitions due to differences in the effective dates of the geographic entities.

Estimates of urban and rural population, housing units, and characteristics reflect boundaries of urban areas defined based on Census 2010 data. Asa result, data for urban and rural areas from the ACS do not necessarily reflect the results of ongoing urbanization.

Source: U.S. Census Bureau, 2016 American Community Survey 1-Year Estimates

Explanation of Symbols:

1. An '**' entry in the margin of error column indicates that either no sample observations or too few sample observations were available tocompute a standard error and thus the margin of error. A statistical test is not appropriate. 2. An '-' entry in the estimate column indicates that either no sample observations or too few sample observations were available to compute anestimate, or a ratio of medians cannot be calculated because one or both of the median estimates falls in the lowest interval or upper interval of anopen-ended distribution. 3. An '-' following a median estimate means the median falls in the lowest interval of an open-ended distribution. 4. An '+' following a median estimate means the median falls in the upper interval of an open-ended distribution. 5. An '***' entry in the margin of error column indicates that the median falls in the lowest interval or upper interval of an open-ended distribution. Astatistical test is not appropriate. 6. An '*****' entry in the margin of error column indicates that the estimate is controlled. A statistical test for sampling variability is not appropriate. 7. An 'N' entry in the estimate and margin of error columns indicates that data for this geographic area cannot be displayed because the number ofsample cases is too small. 8. An '(X)' means that the estimate is not applicable or not available.

2 of 2 09/13/2017

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R0202 PERCENT OF THE TOTAL POPULATION WHO ARE BLACK OR AFRICAN AMERICAN ALONE - UnitedStates -- States; and Puerto RicoUniverse: Total population2016 American Community Survey 1-Year Estimates

Supporting documentation on code lists, subject definitions, data accuracy, and statistical testing can be found on the American Community Surveywebsite in the Data and Documentation section.

Sample size and data quality measures (including coverage rates, allocation rates, and response rates) can be found on the American CommunitySurvey website in the Methodology section.

Tell us what you think. Provide feedback to help make American Community Survey data more useful for you.

Although the American Community Survey (ACS) produces population, demographic and housing unit estimates, it is the Census Bureau's PopulationEstimates Program that produces and disseminates the official estimates of the population for the nation, states, counties, cities and towns andestimates of housing units for states and counties.

To view this table with statistical significance, select With Statistical Significance in the Action menu.A # next to a geography indicates when an estimate is not statistically significant from the estimate for the selected geography.The ## indicates the selected geography.

Rank Geographical Area Percent Margin of ErrorUnited States 12.7 +/-0.1

1 District of Columbia 47.1 +/-0.42 Mississippi 38.0 +/-0.23 Louisiana 32.4 +/-0.24 Georgia 31.6 +/-0.15 Maryland 29.8 +/-0.26 South Carolina 27.0 +/-0.27 Alabama 26.8 +/-0.28 Delaware 22.0 +/-0.49 North Carolina 21.5 +/-0.110 Virginia 19.0 +/-0.111 Tennessee 16.8 +/-0.112 Florida 16.1 +/-0.113 New York 15.6 +/-0.114 Arkansas 15.5 +/-0.215 Illinois 14.2 +/-0.116 Michigan 13.7 +/-0.117 New Jersey 13.4 +/-0.118 Ohio 12.4 +/-0.119 Texas 12.1 +/-0.120 Missouri 11.5 +/-0.121 Pennsylvania 11.0 +/-0.122 Connecticut 10.6 +/-0.223 Indiana 9.3 +/-0.124 Nevada 8.9 +/-0.225 Kentucky 8.3 +/-0.126 Massachusetts 7.4 +/-0.127 Oklahoma 7.3 +/-0.128 Rhode Island 6.4 +/-0.4

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Rank Geographical Area Percent Margin of Error29 Wisconsin 6.3 +/-0.130 Minnesota 6.0 +/-0.131 California 5.8 +/-0.132 Kansas 5.7 +/-0.233 Nebraska 4.7 +/-0.234 Arizona 4.3 +/-0.135 Colorado 4.2 +/-0.136 West Virginia 3.8 +/-0.237 Washington 3.7 +/-0.138 Iowa 3.6 +/-0.139 Alaska 3.2 +/-0.340 North Dakota 2.5 +/-0.341 New Mexico 2.0 +/-0.142 Oregon 1.9 +/-0.143 Hawaii 1.8 +/-0.144 South Dakota 1.7 +/-0.245 Maine 1.5 +/-0.146 Vermont 1.3 +/-0.247 New Hampshire 1.2 +/-0.148 Utah 1.1 +/-0.149 Wyoming 1.0 +/-0.350 Idaho 0.7 +/-0.151 Montana 0.4 +/-0.1

Puerto Rico 11.6 +/-0.4

Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability isrepresented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpretedroughly as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin oferror (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject tononsampling error (for a discussion of nonsampling variability, see Accuracy of the Data). The effect of nonsampling error is not represented in thesetables.

While the 2016 American Community Survey (ACS) data generally reflect the February 2013 Office of Management and Budget (OMB) definitions ofmetropolitan and micropolitan statistical areas; in certain instances the names, codes, and boundaries of the principal cities shown in ACS tables maydiffer from the OMB definitions due to differences in the effective dates of the geographic entities.

Estimates of urban and rural population, housing units, and characteristics reflect boundaries of urban areas defined based on Census 2010 data. Asa result, data for urban and rural areas from the ACS do not necessarily reflect the results of ongoing urbanization.

Source: U.S. Census Bureau, 2016 American Community Survey 1-Year Estimates

Explanation of Symbols:

1. An '**' entry in the margin of error column indicates that either no sample observations or too few sample observations were available tocompute a standard error and thus the margin of error. A statistical test is not appropriate. 2. An '-' entry in the estimate column indicates that either no sample observations or too few sample observations were available to compute anestimate, or a ratio of medians cannot be calculated because one or both of the median estimates falls in the lowest interval or upper interval of anopen-ended distribution. 3. An '-' following a median estimate means the median falls in the lowest interval of an open-ended distribution. 4. An '+' following a median estimate means the median falls in the upper interval of an open-ended distribution. 5. An '***' entry in the margin of error column indicates that the median falls in the lowest interval or upper interval of an open-ended distribution. Astatistical test is not appropriate. 6. An '*****' entry in the margin of error column indicates that the estimate is controlled. A statistical test for sampling variability is not appropriate. 7. An 'N' entry in the estimate and margin of error columns indicates that data for this geographic area cannot be displayed because the number ofsample cases is too small. 8. An '(X)' means that the estimate is not applicable or not available.

2 of 2 09/13/2017

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R0203 PERCENT OF THE TOTAL POPULATION WHO ARE AMERICAN INDIAN AND ALASKA NATIVEALONE - United States -- States; and Puerto RicoUniverse: Total population2016 American Community Survey 1-Year Estimates

Supporting documentation on code lists, subject definitions, data accuracy, and statistical testing can be found on the American Community Surveywebsite in the Data and Documentation section.

Sample size and data quality measures (including coverage rates, allocation rates, and response rates) can be found on the American CommunitySurvey website in the Methodology section.

Tell us what you think. Provide feedback to help make American Community Survey data more useful for you.

Although the American Community Survey (ACS) produces population, demographic and housing unit estimates, it is the Census Bureau's PopulationEstimates Program that produces and disseminates the official estimates of the population for the nation, states, counties, cities and towns andestimates of housing units for states and counties.

To view this table with statistical significance, select With Statistical Significance in the Action menu.A # next to a geography indicates when an estimate is not statistically significant from the estimate for the selected geography.The ## indicates the selected geography.

Rank Geographical Area Percent Margin of ErrorUnited States 0.8 +/-0.1

1 Alaska 14.6 +/-0.52 New Mexico 9.3 +/-0.23 South Dakota 8.9 +/-0.44 Oklahoma 7.6 +/-0.25 Montana 6.4 +/-0.26 North Dakota 5.5 +/-0.37 Arizona 4.4 +/-0.18 Wyoming 2.3 +/-0.39 Idaho 1.6 +/-0.210 Washington 1.3 +/-0.111 Nevada 1.2 +/-0.111 North Carolina 1.2 +/-0.113 Minnesota 1.1 +/-0.113 Oregon 1.1 +/-0.115 Colorado 1.0 +/-0.115 Utah 1.0 +/-0.117 Wisconsin 0.9 +/-0.118 Nebraska 0.8 +/-0.119 California 0.7 +/-0.119 Kansas 0.7 +/-0.121 Arkansas 0.6 +/-0.121 Maine 0.6 +/-0.123 Alabama 0.5 +/-0.123 Louisiana 0.5 +/-0.123 Michigan 0.5 +/-0.123 Missouri 0.5 +/-0.123 Rhode Island 0.5 +/-0.223 Texas 0.5 +/-0.1

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Rank Geographical Area Percent Margin of Error29 Delaware 0.4 +/-0.129 Georgia 0.4 +/-0.129 Mississippi 0.4 +/-0.129 New York 0.4 +/-0.133 Connecticut 0.3 +/-0.133 District of Columbia 0.3 +/-0.133 Florida 0.3 +/-0.133 Indiana 0.3 +/-0.133 Iowa 0.3 +/-0.133 Kentucky 0.3 +/-0.133 Maryland 0.3 +/-0.133 South Carolina 0.3 +/-0.133 Tennessee 0.3 +/-0.133 Vermont 0.3 +/-0.133 Virginia 0.3 +/-0.144 Hawaii 0.2 +/-0.144 Illinois 0.2 +/-0.144 Massachusetts 0.2 +/-0.144 New Jersey 0.2 +/-0.144 Ohio 0.2 +/-0.144 Pennsylvania 0.2 +/-0.144 West Virginia 0.2 +/-0.151 New Hampshire 0.1 +/-0.1

Puerto Rico 0.2 +/-0.1

Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability isrepresented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpretedroughly as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin oferror (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject tononsampling error (for a discussion of nonsampling variability, see Accuracy of the Data). The effect of nonsampling error is not represented in thesetables.

While the 2016 American Community Survey (ACS) data generally reflect the February 2013 Office of Management and Budget (OMB) definitions ofmetropolitan and micropolitan statistical areas; in certain instances the names, codes, and boundaries of the principal cities shown in ACS tables maydiffer from the OMB definitions due to differences in the effective dates of the geographic entities.

Estimates of urban and rural population, housing units, and characteristics reflect boundaries of urban areas defined based on Census 2010 data. Asa result, data for urban and rural areas from the ACS do not necessarily reflect the results of ongoing urbanization.

Source: U.S. Census Bureau, 2016 American Community Survey 1-Year Estimates

Explanation of Symbols:

1. An '**' entry in the margin of error column indicates that either no sample observations or too few sample observations were available tocompute a standard error and thus the margin of error. A statistical test is not appropriate. 2. An '-' entry in the estimate column indicates that either no sample observations or too few sample observations were available to compute anestimate, or a ratio of medians cannot be calculated because one or both of the median estimates falls in the lowest interval or upper interval of anopen-ended distribution. 3. An '-' following a median estimate means the median falls in the lowest interval of an open-ended distribution. 4. An '+' following a median estimate means the median falls in the upper interval of an open-ended distribution. 5. An '***' entry in the margin of error column indicates that the median falls in the lowest interval or upper interval of an open-ended distribution. Astatistical test is not appropriate. 6. An '*****' entry in the margin of error column indicates that the estimate is controlled. A statistical test for sampling variability is not appropriate. 7. An 'N' entry in the estimate and margin of error columns indicates that data for this geographic area cannot be displayed because the number ofsample cases is too small. 8. An '(X)' means that the estimate is not applicable or not available.

2 of 2 09/13/2017

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R0204 PERCENT OF THE TOTAL POPULATION WHO ARE ASIAN ALONE - United States -- States; andPuerto RicoUniverse: Total population2016 American Community Survey 1-Year Estimates

Supporting documentation on code lists, subject definitions, data accuracy, and statistical testing can be found on the American Community Surveywebsite in the Data and Documentation section.

Sample size and data quality measures (including coverage rates, allocation rates, and response rates) can be found on the American CommunitySurvey website in the Methodology section.

Tell us what you think. Provide feedback to help make American Community Survey data more useful for you.

Although the American Community Survey (ACS) produces population, demographic and housing unit estimates, it is the Census Bureau's PopulationEstimates Program that produces and disseminates the official estimates of the population for the nation, states, counties, cities and towns andestimates of housing units for states and counties.

To view this table with statistical significance, select With Statistical Significance in the Action menu.A # next to a geography indicates when an estimate is not statistically significant from the estimate for the selected geography.The ## indicates the selected geography.

Rank Geographical Area Percent Margin of ErrorUnited States 5.4 +/-0.1

1 Hawaii 38.0 +/-0.72 California 14.3 +/-0.13 New Jersey 9.5 +/-0.14 New York 8.4 +/-0.15 Nevada 8.3 +/-0.26 Washington 8.2 +/-0.17 Massachusetts 6.5 +/-0.18 Maryland 6.3 +/-0.18 Virginia 6.3 +/-0.110 Alaska 6.1 +/-0.411 Illinois 5.3 +/-0.112 Minnesota 4.7 +/-0.112 Texas 4.7 +/-0.114 Connecticut 4.5 +/-0.115 Oregon 4.1 +/-0.116 District of Columbia 3.9 +/-0.216 Georgia 3.9 +/-0.118 Delaware 3.7 +/-0.219 Rhode Island 3.5 +/-0.220 Pennsylvania 3.3 +/-0.121 Arizona 3.2 +/-0.121 Colorado 3.2 +/-0.123 Michigan 2.9 +/-0.124 Florida 2.7 +/-0.124 Kansas 2.7 +/-0.124 North Carolina 2.7 +/-0.124 Wisconsin 2.7 +/-0.128 Iowa 2.4 +/-0.1

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Rank Geographical Area Percent Margin of Error28 New Hampshire 2.4 +/-0.230 Utah 2.3 +/-0.131 Nebraska 2.2 +/-0.232 Indiana 2.1 +/-0.132 Ohio 2.1 +/-0.134 Oklahoma 2.0 +/-0.135 Missouri 1.9 +/-0.136 Louisiana 1.7 +/-0.136 Tennessee 1.7 +/-0.138 New Mexico 1.6 +/-0.139 Idaho 1.5 +/-0.139 South Carolina 1.5 +/-0.139 South Dakota 1.5 +/-0.239 Vermont 1.5 +/-0.243 Arkansas 1.4 +/-0.143 Kentucky 1.4 +/-0.145 Alabama 1.3 +/-0.145 Maine 1.3 +/-0.147 North Dakota 1.2 +/-0.248 Wyoming 1.0 +/-0.249 Mississippi 0.9 +/-0.150 Montana 0.8 +/-0.150 West Virginia 0.8 +/-0.1

Puerto Rico 0.2 +/-0.1

Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability isrepresented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpretedroughly as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin oferror (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject tononsampling error (for a discussion of nonsampling variability, see Accuracy of the Data). The effect of nonsampling error is not represented in thesetables.

While the 2016 American Community Survey (ACS) data generally reflect the February 2013 Office of Management and Budget (OMB) definitions ofmetropolitan and micropolitan statistical areas; in certain instances the names, codes, and boundaries of the principal cities shown in ACS tables maydiffer from the OMB definitions due to differences in the effective dates of the geographic entities.

Estimates of urban and rural population, housing units, and characteristics reflect boundaries of urban areas defined based on Census 2010 data. Asa result, data for urban and rural areas from the ACS do not necessarily reflect the results of ongoing urbanization.

Source: U.S. Census Bureau, 2016 American Community Survey 1-Year Estimates

Explanation of Symbols:

1. An '**' entry in the margin of error column indicates that either no sample observations or too few sample observations were available tocompute a standard error and thus the margin of error. A statistical test is not appropriate. 2. An '-' entry in the estimate column indicates that either no sample observations or too few sample observations were available to compute anestimate, or a ratio of medians cannot be calculated because one or both of the median estimates falls in the lowest interval or upper interval of anopen-ended distribution. 3. An '-' following a median estimate means the median falls in the lowest interval of an open-ended distribution. 4. An '+' following a median estimate means the median falls in the upper interval of an open-ended distribution. 5. An '***' entry in the margin of error column indicates that the median falls in the lowest interval or upper interval of an open-ended distribution. Astatistical test is not appropriate. 6. An '*****' entry in the margin of error column indicates that the estimate is controlled. A statistical test for sampling variability is not appropriate. 7. An 'N' entry in the estimate and margin of error columns indicates that data for this geographic area cannot be displayed because the number ofsample cases is too small. 8. An '(X)' means that the estimate is not applicable or not available.

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R0205 PERCENT OF THE TOTAL POPULATION WHO ARE NATIVE HAWAIIAN AND OTHER PACIFICISLANDER ALONE - United States -- States; and Puerto RicoUniverse: Total population2016 American Community Survey 1-Year Estimates

Supporting documentation on code lists, subject definitions, data accuracy, and statistical testing can be found on the American Community Surveywebsite in the Data and Documentation section.

Sample size and data quality measures (including coverage rates, allocation rates, and response rates) can be found on the American CommunitySurvey website in the Methodology section.

Tell us what you think. Provide feedback to help make American Community Survey data more useful for you.

Although the American Community Survey (ACS) produces population, demographic and housing unit estimates, it is the Census Bureau's PopulationEstimates Program that produces and disseminates the official estimates of the population for the nation, states, counties, cities and towns andestimates of housing units for states and counties.

To view this table with statistical significance, select With Statistical Significance in the Action menu.A # next to a geography indicates when an estimate is not statistically significant from the estimate for the selected geography.The ## indicates the selected geography.

Rank Geographical Area Percent Margin of ErrorUnited States 0.2 +/-0.1

1 Hawaii 10.1 +/-0.52 Alaska 1.3 +/-0.13 Utah 1.0 +/-0.14 Nevada 0.7 +/-0.14 Washington 0.7 +/-0.16 California 0.4 +/-0.16 Oregon 0.4 +/-0.18 Arkansas 0.3 +/-0.19 Arizona 0.2 +/-0.19 Colorado 0.2 +/-0.19 Delaware 0.2 +/-0.29 Missouri 0.2 +/-0.19 Oklahoma 0.2 +/-0.114 Florida 0.1 +/-0.114 Georgia 0.1 +/-0.114 Idaho 0.1 +/-0.114 Indiana 0.1 +/-0.114 Iowa 0.1 +/-0.114 Kansas 0.1 +/-0.114 Kentucky 0.1 +/-0.114 Massachusetts 0.1 +/-0.114 Montana 0.1 +/-0.114 Nebraska 0.1 +/-0.114 New Mexico 0.1 +/-0.114 North Carolina 0.1 +/-0.114 Rhode Island 0.1 +/-0.114 South Carolina 0.1 +/-0.114 Tennessee 0.1 +/-0.1

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Rank Geographical Area Percent Margin of Error14 Texas 0.1 +/-0.114 Virginia 0.1 +/-0.114 Wyoming 0.1 +/-0.132 Alabama 0.0 +/-0.132 Connecticut 0.0 +/-0.132 District of Columbia 0.0 +/-0.132 Illinois 0.0 +/-0.132 Louisiana 0.0 +/-0.132 Maine 0.0 +/-0.132 Maryland 0.0 +/-0.132 Michigan 0.0 +/-0.132 Minnesota 0.0 +/-0.132 Mississippi 0.0 +/-0.132 New Hampshire 0.0 +/-0.132 New Jersey 0.0 +/-0.132 New York 0.0 +/-0.132 North Dakota 0.0 +/-0.132 Ohio 0.0 +/-0.132 Pennsylvania 0.0 +/-0.132 South Dakota 0.0 +/-0.132 Vermont 0.0 +/-0.132 West Virginia 0.0 +/-0.132 Wisconsin 0.0 +/-0.1

Puerto Rico 0.0 +/-0.1

Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability isrepresented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpretedroughly as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin oferror (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject tononsampling error (for a discussion of nonsampling variability, see Accuracy of the Data). The effect of nonsampling error is not represented in thesetables.

While the 2016 American Community Survey (ACS) data generally reflect the February 2013 Office of Management and Budget (OMB) definitions ofmetropolitan and micropolitan statistical areas; in certain instances the names, codes, and boundaries of the principal cities shown in ACS tables maydiffer from the OMB definitions due to differences in the effective dates of the geographic entities.

Estimates of urban and rural population, housing units, and characteristics reflect boundaries of urban areas defined based on Census 2010 data. Asa result, data for urban and rural areas from the ACS do not necessarily reflect the results of ongoing urbanization.

Source: U.S. Census Bureau, 2016 American Community Survey 1-Year Estimates

Explanation of Symbols:

1. An '**' entry in the margin of error column indicates that either no sample observations or too few sample observations were available tocompute a standard error and thus the margin of error. A statistical test is not appropriate. 2. An '-' entry in the estimate column indicates that either no sample observations or too few sample observations were available to compute anestimate, or a ratio of medians cannot be calculated because one or both of the median estimates falls in the lowest interval or upper interval of anopen-ended distribution. 3. An '-' following a median estimate means the median falls in the lowest interval of an open-ended distribution. 4. An '+' following a median estimate means the median falls in the upper interval of an open-ended distribution. 5. An '***' entry in the margin of error column indicates that the median falls in the lowest interval or upper interval of an open-ended distribution. Astatistical test is not appropriate. 6. An '*****' entry in the margin of error column indicates that the estimate is controlled. A statistical test for sampling variability is not appropriate. 7. An 'N' entry in the estimate and margin of error columns indicates that data for this geographic area cannot be displayed because the number ofsample cases is too small. 8. An '(X)' means that the estimate is not applicable or not available.

2 of 2 09/13/2017

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R0206 PERCENT OF THE TOTAL POPULATION WHO ARE SOME OTHER RACE ALONE - United States --States; and Puerto RicoUniverse: Total population2016 American Community Survey 1-Year Estimates

Supporting documentation on code lists, subject definitions, data accuracy, and statistical testing can be found on the American Community Surveywebsite in the Data and Documentation section.

Sample size and data quality measures (including coverage rates, allocation rates, and response rates) can be found on the American CommunitySurvey website in the Methodology section.

Tell us what you think. Provide feedback to help make American Community Survey data more useful for you.

Although the American Community Survey (ACS) produces population, demographic and housing unit estimates, it is the Census Bureau's PopulationEstimates Program that produces and disseminates the official estimates of the population for the nation, states, counties, cities and towns andestimates of housing units for states and counties.

To view this table with statistical significance, select With Statistical Significance in the Action menu.A # next to a geography indicates when an estimate is not statistically significant from the estimate for the selected geography.The ## indicates the selected geography.

Rank Geographical Area Percent Margin of ErrorUnited States 5.1 +/-0.1

1 California 14.4 +/-0.22 New Mexico 9.9 +/-0.53 Nevada 9.3 +/-0.54 New York 8.9 +/-0.25 Arizona 8.5 +/-0.36 Illinois 6.4 +/-0.27 New Jersey 6.1 +/-0.28 Rhode Island 5.9 +/-0.69 Texas 5.8 +/-0.110 District of Columbia 5.5 +/-0.611 Utah 5.4 +/-0.312 Connecticut 4.8 +/-0.312 Washington 4.8 +/-0.214 Massachusetts 4.2 +/-0.215 Colorado 4.1 +/-0.216 Idaho 3.9 +/-0.417 Maryland 3.8 +/-0.218 North Carolina 3.0 +/-0.118 Oregon 3.0 +/-0.320 Arkansas 2.9 +/-0.220 Georgia 2.9 +/-0.222 Florida 2.8 +/-0.123 Oklahoma 2.7 +/-0.223 Virginia 2.7 +/-0.125 Kansas 2.5 +/-0.326 Indiana 2.4 +/-0.227 Wisconsin 2.2 +/-0.128 Pennsylvania 2.1 +/-0.1

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Rank Geographical Area Percent Margin of Error29 Minnesota 2.0 +/-0.129 Nebraska 2.0 +/-0.331 Alaska 1.7 +/-0.432 Delaware 1.6 +/-0.532 South Carolina 1.6 +/-0.234 Louisiana 1.5 +/-0.135 Alabama 1.4 +/-0.136 Iowa 1.3 +/-0.137 Michigan 1.2 +/-0.137 Missouri 1.2 +/-0.137 Tennessee 1.2 +/-0.140 Mississippi 1.0 +/-0.140 Wyoming 1.0 +/-0.342 Hawaii 0.9 +/-0.242 Ohio 0.9 +/-0.144 Kentucky 0.8 +/-0.145 North Dakota 0.7 +/-0.345 South Dakota 0.7 +/-0.247 New Hampshire 0.6 +/-0.248 Vermont 0.5 +/-0.249 Montana 0.4 +/-0.149 West Virginia 0.4 +/-0.151 Maine 0.2 +/-0.1

Puerto Rico 16.9 +/-0.6

Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability isrepresented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpretedroughly as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin oferror (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject tononsampling error (for a discussion of nonsampling variability, see Accuracy of the Data). The effect of nonsampling error is not represented in thesetables.

While the 2016 American Community Survey (ACS) data generally reflect the February 2013 Office of Management and Budget (OMB) definitions ofmetropolitan and micropolitan statistical areas; in certain instances the names, codes, and boundaries of the principal cities shown in ACS tables maydiffer from the OMB definitions due to differences in the effective dates of the geographic entities.

Estimates of urban and rural population, housing units, and characteristics reflect boundaries of urban areas defined based on Census 2010 data. Asa result, data for urban and rural areas from the ACS do not necessarily reflect the results of ongoing urbanization.

Source: U.S. Census Bureau, 2016 American Community Survey 1-Year Estimates

Explanation of Symbols:

1. An '**' entry in the margin of error column indicates that either no sample observations or too few sample observations were available tocompute a standard error and thus the margin of error. A statistical test is not appropriate. 2. An '-' entry in the estimate column indicates that either no sample observations or too few sample observations were available to compute anestimate, or a ratio of medians cannot be calculated because one or both of the median estimates falls in the lowest interval or upper interval of anopen-ended distribution. 3. An '-' following a median estimate means the median falls in the lowest interval of an open-ended distribution. 4. An '+' following a median estimate means the median falls in the upper interval of an open-ended distribution. 5. An '***' entry in the margin of error column indicates that the median falls in the lowest interval or upper interval of an open-ended distribution. Astatistical test is not appropriate. 6. An '*****' entry in the margin of error column indicates that the estimate is controlled. A statistical test for sampling variability is not appropriate. 7. An 'N' entry in the estimate and margin of error columns indicates that data for this geographic area cannot be displayed because the number ofsample cases is too small. 8. An '(X)' means that the estimate is not applicable or not available.

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R0207 PERCENT OF THE TOTAL POPULATION WHO ARE TWO OR MORE RACES - United States -- States;and Puerto RicoUniverse: Total population2016 American Community Survey 1-Year Estimates

Supporting documentation on code lists, subject definitions, data accuracy, and statistical testing can be found on the American Community Surveywebsite in the Data and Documentation section.

Sample size and data quality measures (including coverage rates, allocation rates, and response rates) can be found on the American CommunitySurvey website in the Methodology section.

Tell us what you think. Provide feedback to help make American Community Survey data more useful for you.

Although the American Community Survey (ACS) produces population, demographic and housing unit estimates, it is the Census Bureau's PopulationEstimates Program that produces and disseminates the official estimates of the population for the nation, states, counties, cities and towns andestimates of housing units for states and counties.

To view this table with statistical significance, select With Statistical Significance in the Action menu.A # next to a geography indicates when an estimate is not statistically significant from the estimate for the selected geography.The ## indicates the selected geography.

Rank Geographical Area Percent Margin of ErrorUnited States 3.2 +/-0.1

1 Hawaii 23.9 +/-0.92 Alaska 8.6 +/-0.73 Oklahoma 7.7 +/-0.24 Washington 5.7 +/-0.25 Oregon 5.1 +/-0.36 California 4.8 +/-0.17 Nevada 4.7 +/-0.38 Virginia 3.7 +/-0.29 Arizona 3.6 +/-0.29 Kansas 3.6 +/-0.211 Colorado 3.3 +/-0.211 Maryland 3.3 +/-0.213 New Mexico 3.2 +/-0.314 Connecticut 3.1 +/-0.214 Massachusetts 3.1 +/-0.214 Michigan 3.1 +/-0.114 Montana 3.1 +/-0.314 New York 3.1 +/-0.114 Rhode Island 3.1 +/-0.420 Utah 2.9 +/-0.221 Minnesota 2.8 +/-0.121 North Dakota 2.8 +/-0.421 Ohio 2.8 +/-0.124 Delaware 2.7 +/-0.424 New Jersey 2.7 +/-0.126 Arkansas 2.6 +/-0.226 District of Columbia 2.6 +/-0.326 Florida 2.6 +/-0.1

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Rank Geographical Area Percent Margin of Error26 North Carolina 2.6 +/-0.126 Texas 2.6 +/-0.126 Wyoming 2.6 +/-0.432 Georgia 2.5 +/-0.132 Idaho 2.5 +/-0.232 Illinois 2.5 +/-0.132 Missouri 2.5 +/-0.132 Pennsylvania 2.5 +/-0.132 South Dakota 2.5 +/-0.338 Indiana 2.4 +/-0.138 Nebraska 2.4 +/-0.238 Wisconsin 2.4 +/-0.141 New Hampshire 2.2 +/-0.241 South Carolina 2.2 +/-0.243 Kentucky 2.1 +/-0.243 Tennessee 2.1 +/-0.145 Louisiana 2.0 +/-0.245 Maine 2.0 +/-0.245 Vermont 2.0 +/-0.348 Iowa 1.8 +/-0.149 Alabama 1.7 +/-0.149 West Virginia 1.7 +/-0.251 Mississippi 1.1 +/-0.2

Puerto Rico 4.3 +/-0.3

Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability isrepresented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpretedroughly as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin oferror (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject tononsampling error (for a discussion of nonsampling variability, see Accuracy of the Data). The effect of nonsampling error is not represented in thesetables.

While the 2016 American Community Survey (ACS) data generally reflect the February 2013 Office of Management and Budget (OMB) definitions ofmetropolitan and micropolitan statistical areas; in certain instances the names, codes, and boundaries of the principal cities shown in ACS tables maydiffer from the OMB definitions due to differences in the effective dates of the geographic entities.

Estimates of urban and rural population, housing units, and characteristics reflect boundaries of urban areas defined based on Census 2010 data. Asa result, data for urban and rural areas from the ACS do not necessarily reflect the results of ongoing urbanization.

Source: U.S. Census Bureau, 2016 American Community Survey 1-Year Estimates

Explanation of Symbols:

1. An '**' entry in the margin of error column indicates that either no sample observations or too few sample observations were available tocompute a standard error and thus the margin of error. A statistical test is not appropriate. 2. An '-' entry in the estimate column indicates that either no sample observations or too few sample observations were available to compute anestimate, or a ratio of medians cannot be calculated because one or both of the median estimates falls in the lowest interval or upper interval of anopen-ended distribution. 3. An '-' following a median estimate means the median falls in the lowest interval of an open-ended distribution. 4. An '+' following a median estimate means the median falls in the upper interval of an open-ended distribution. 5. An '***' entry in the margin of error column indicates that the median falls in the lowest interval or upper interval of an open-ended distribution. Astatistical test is not appropriate. 6. An '*****' entry in the margin of error column indicates that the estimate is controlled. A statistical test for sampling variability is not appropriate. 7. An 'N' entry in the estimate and margin of error columns indicates that data for this geographic area cannot be displayed because the number ofsample cases is too small. 8. An '(X)' means that the estimate is not applicable or not available.

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R0208 PERCENT OF THE TOTAL POPULATION WHO ARE TWO OR MORE RACES EXCLUDING SOMEOTHER RACE - United States -- States; and Puerto RicoUniverse: Total population2016 American Community Survey 1-Year Estimates

Supporting documentation on code lists, subject definitions, data accuracy, and statistical testing can be found on the American Community Surveywebsite in the Data and Documentation section.

Sample size and data quality measures (including coverage rates, allocation rates, and response rates) can be found on the American CommunitySurvey website in the Methodology section.

Tell us what you think. Provide feedback to help make American Community Survey data more useful for you.

Although the American Community Survey (ACS) produces population, demographic and housing unit estimates, it is the Census Bureau's PopulationEstimates Program that produces and disseminates the official estimates of the population for the nation, states, counties, cities and towns andestimates of housing units for states and counties.

To view this table with statistical significance, select With Statistical Significance in the Action menu.A # next to a geography indicates when an estimate is not statistically significant from the estimate for the selected geography.The ## indicates the selected geography.

Rank Geographical Area Percent Margin of ErrorUnited States 2.7 +/-0.1

1 Hawaii 23.3 +/-0.92 Alaska 8.3 +/-0.73 Oklahoma 7.4 +/-0.24 Washington 5.2 +/-0.25 Oregon 4.7 +/-0.36 Nevada 4.0 +/-0.37 California 3.8 +/-0.18 Virginia 3.3 +/-0.19 Kansas 3.2 +/-0.210 Maryland 3.0 +/-0.211 Arizona 2.9 +/-0.211 Montana 2.9 +/-0.313 Michigan 2.8 +/-0.114 Colorado 2.7 +/-0.214 Massachusetts 2.7 +/-0.216 Minnesota 2.6 +/-0.116 Ohio 2.6 +/-0.118 Connecticut 2.5 +/-0.218 Delaware 2.5 +/-0.318 North Dakota 2.5 +/-0.318 Rhode Island 2.5 +/-0.318 Utah 2.5 +/-0.223 New York 2.4 +/-0.123 North Carolina 2.4 +/-0.125 Arkansas 2.3 +/-0.225 District of Columbia 2.3 +/-0.325 Missouri 2.3 +/-0.125 South Dakota 2.3 +/-0.3

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Rank Geographical Area Percent Margin of Error25 Wyoming 2.3 +/-0.330 Florida 2.2 +/-0.130 Nebraska 2.2 +/-0.230 Pennsylvania 2.2 +/-0.133 Georgia 2.1 +/-0.133 Idaho 2.1 +/-0.233 Indiana 2.1 +/-0.133 Wisconsin 2.1 +/-0.137 Illinois 2.0 +/-0.137 New Hampshire 2.0 +/-0.237 New Jersey 2.0 +/-0.137 New Mexico 2.0 +/-0.237 South Carolina 2.0 +/-0.237 Texas 2.0 +/-0.143 Kentucky 1.9 +/-0.143 Maine 1.9 +/-0.243 Tennessee 1.9 +/-0.143 Vermont 1.9 +/-0.347 Louisiana 1.8 +/-0.248 Iowa 1.7 +/-0.149 Alabama 1.6 +/-0.149 West Virginia 1.6 +/-0.251 Mississippi 1.1 +/-0.2

Puerto Rico 3.8 +/-0.3

Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability isrepresented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpretedroughly as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin oferror (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject tononsampling error (for a discussion of nonsampling variability, see Accuracy of the Data). The effect of nonsampling error is not represented in thesetables.

While the 2016 American Community Survey (ACS) data generally reflect the February 2013 Office of Management and Budget (OMB) definitions ofmetropolitan and micropolitan statistical areas; in certain instances the names, codes, and boundaries of the principal cities shown in ACS tables maydiffer from the OMB definitions due to differences in the effective dates of the geographic entities.

Estimates of urban and rural population, housing units, and characteristics reflect boundaries of urban areas defined based on Census 2010 data. Asa result, data for urban and rural areas from the ACS do not necessarily reflect the results of ongoing urbanization.

Source: U.S. Census Bureau, 2016 American Community Survey 1-Year Estimates

Explanation of Symbols:

1. An '**' entry in the margin of error column indicates that either no sample observations or too few sample observations were available tocompute a standard error and thus the margin of error. A statistical test is not appropriate. 2. An '-' entry in the estimate column indicates that either no sample observations or too few sample observations were available to compute anestimate, or a ratio of medians cannot be calculated because one or both of the median estimates falls in the lowest interval or upper interval of anopen-ended distribution. 3. An '-' following a median estimate means the median falls in the lowest interval of an open-ended distribution. 4. An '+' following a median estimate means the median falls in the upper interval of an open-ended distribution. 5. An '***' entry in the margin of error column indicates that the median falls in the lowest interval or upper interval of an open-ended distribution. Astatistical test is not appropriate. 6. An '*****' entry in the margin of error column indicates that the estimate is controlled. A statistical test for sampling variability is not appropriate. 7. An 'N' entry in the estimate and margin of error columns indicates that data for this geographic area cannot be displayed because the number ofsample cases is too small. 8. An '(X)' means that the estimate is not applicable or not available.

2 of 2 09/13/2017

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R0209 PERCENT OF THE TOTAL POPULATION WHO ARE WHITE ALONE, NOT HISPANIC OR LATINO -United States -- States; and Puerto RicoUniverse: Total population2016 American Community Survey 1-Year Estimates

Supporting documentation on code lists, subject definitions, data accuracy, and statistical testing can be found on the American Community Surveywebsite in the Data and Documentation section.

Sample size and data quality measures (including coverage rates, allocation rates, and response rates) can be found on the American CommunitySurvey website in the Methodology section.

Tell us what you think. Provide feedback to help make American Community Survey data more useful for you.

Although the American Community Survey (ACS) produces population, demographic and housing unit estimates, it is the Census Bureau's PopulationEstimates Program that produces and disseminates the official estimates of the population for the nation, states, counties, cities and towns andestimates of housing units for states and counties.

To view this table with statistical significance, select With Statistical Significance in the Action menu.A # next to a geography indicates when an estimate is not statistically significant from the estimate for the selected geography.The ## indicates the selected geography.

Rank Geographical Area Percent Margin of ErrorUnited States 61.1 +/-0.1

1 Maine 93.4 +/-0.12 Vermont 93.0 +/-0.13 West Virginia 92.0 +/-0.14 New Hampshire 90.7 +/-0.15 Iowa 86.4 +/-0.15 Montana 86.4 +/-0.17 North Dakota 85.1 +/-0.18 Kentucky 84.9 +/-0.19 Wyoming 84.4 +/-0.110 South Dakota 82.4 +/-0.111 Idaho 82.3 +/-0.112 Wisconsin 81.6 +/-0.113 Minnesota 80.5 +/-0.114 Nebraska 79.7 +/-0.115 Missouri 79.6 +/-0.116 Indiana 79.5 +/-0.117 Ohio 79.4 +/-0.118 Utah 78.7 +/-0.119 Pennsylvania 76.9 +/-0.120 Kansas 76.2 +/-0.120 Oregon 76.2 +/-0.122 Michigan 75.3 +/-0.123 Tennessee 74.1 +/-0.124 Arkansas 72.8 +/-0.124 Rhode Island 72.8 +/-0.226 Massachusetts 72.4 +/-0.127 Washington 69.3 +/-0.128 Colorado 68.5 +/-0.1

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Rank Geographical Area Percent Margin of Error29 Connecticut 67.4 +/-0.130 Oklahoma 66.2 +/-0.131 Alabama 65.7 +/-0.132 South Carolina 63.7 +/-0.133 North Carolina 63.5 +/-0.134 Delaware 62.7 +/-0.135 Virginia 62.2 +/-0.136 Illinois 61.6 +/-0.137 Alaska 61.0 +/-0.138 Louisiana 58.8 +/-0.139 Mississippi 56.8 +/-0.140 New Jersey 55.5 +/-0.140 New York 55.5 +/-0.142 Arizona 55.3 +/-0.143 Florida 54.7 +/-0.144 Georgia 53.2 +/-0.145 Maryland 51.4 +/-0.146 Nevada 49.8 +/-0.147 Texas 42.5 +/-0.148 New Mexico 37.8 +/-0.149 California 37.5 +/-0.150 District of Columbia 36.3 +/-0.151 Hawaii 22.1 +/-0.1

Puerto Rico 1.1 +/-0.1

Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability isrepresented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpretedroughly as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin oferror (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject tononsampling error (for a discussion of nonsampling variability, see Accuracy of the Data). The effect of nonsampling error is not represented in thesetables.

While the 2016 American Community Survey (ACS) data generally reflect the February 2013 Office of Management and Budget (OMB) definitions ofmetropolitan and micropolitan statistical areas; in certain instances the names, codes, and boundaries of the principal cities shown in ACS tables maydiffer from the OMB definitions due to differences in the effective dates of the geographic entities.

Estimates of urban and rural population, housing units, and characteristics reflect boundaries of urban areas defined based on Census 2010 data. Asa result, data for urban and rural areas from the ACS do not necessarily reflect the results of ongoing urbanization.

Source: U.S. Census Bureau, 2016 American Community Survey 1-Year Estimates

Explanation of Symbols:

1. An '**' entry in the margin of error column indicates that either no sample observations or too few sample observations were available tocompute a standard error and thus the margin of error. A statistical test is not appropriate. 2. An '-' entry in the estimate column indicates that either no sample observations or too few sample observations were available to compute anestimate, or a ratio of medians cannot be calculated because one or both of the median estimates falls in the lowest interval or upper interval of anopen-ended distribution. 3. An '-' following a median estimate means the median falls in the lowest interval of an open-ended distribution. 4. An '+' following a median estimate means the median falls in the upper interval of an open-ended distribution. 5. An '***' entry in the margin of error column indicates that the median falls in the lowest interval or upper interval of an open-ended distribution. Astatistical test is not appropriate. 6. An '*****' entry in the margin of error column indicates that the estimate is controlled. A statistical test for sampling variability is not appropriate. 7. An 'N' entry in the estimate and margin of error columns indicates that data for this geographic area cannot be displayed because the number ofsample cases is too small. 8. An '(X)' means that the estimate is not applicable or not available.

2 of 2 09/13/2017

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R0501 PERCENT OF PEOPLE WHO ARE FOREIGN BORN - United States -- States; and Puerto RicoUniverse: Total population2016 American Community Survey 1-Year Estimates

Supporting documentation on code lists, subject definitions, data accuracy, and statistical testing can be found on the American Community Surveywebsite in the Data and Documentation section.

Sample size and data quality measures (including coverage rates, allocation rates, and response rates) can be found on the American CommunitySurvey website in the Methodology section.

Tell us what you think. Provide feedback to help make American Community Survey data more useful for you.

Although the American Community Survey (ACS) produces population, demographic and housing unit estimates, it is the Census Bureau's PopulationEstimates Program that produces and disseminates the official estimates of the population for the nation, states, counties, cities and towns andestimates of housing units for states and counties.

To view this table with statistical significance, select With Statistical Significance in the Action menu.A # next to a geography indicates when an estimate is not statistically significant from the estimate for the selected geography.The ## indicates the selected geography.

Rank Geographical Area Percent Margin of ErrorUnited States 13.5 +/-0.1

1 California 27.2 +/-0.12 New York 23.0 +/-0.23 New Jersey 22.5 +/-0.24 Florida 20.6 +/-0.25 Nevada 20.0 +/-0.46 Hawaii 18.4 +/-0.97 Texas 17.0 +/-0.18 Massachusetts 16.5 +/-0.39 Maryland 15.3 +/-0.310 Connecticut 14.4 +/-0.411 Rhode Island 14.1 +/-0.712 Washington 14.0 +/-0.313 Illinois 13.9 +/-0.214 Arizona 13.5 +/-0.315 District of Columbia 13.3 +/-0.716 Virginia 12.3 +/-0.217 Georgia 10.1 +/-0.218 Colorado 9.8 +/-0.319 Oregon 9.6 +/-0.320 New Mexico 9.5 +/-0.421 Delaware 9.4 +/-0.622 Utah 8.3 +/-0.323 Minnesota 8.2 +/-0.224 North Carolina 7.8 +/-0.125 Alaska 7.7 +/-0.626 Kansas 7.1 +/-0.327 Nebraska 7.0 +/-0.328 Pennsylvania 6.8 +/-0.229 Michigan 6.7 +/-0.1

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Rank Geographical Area Percent Margin of Error30 Idaho 5.8 +/-0.430 Oklahoma 5.8 +/-0.232 New Hampshire 5.7 +/-0.433 Indiana 5.3 +/-0.234 Iowa 5.1 +/-0.235 Wisconsin 5.0 +/-0.136 South Carolina 4.8 +/-0.236 Tennessee 4.8 +/-0.238 Arkansas 4.6 +/-0.239 Vermont 4.5 +/-0.440 Ohio 4.4 +/-0.141 Louisiana 4.1 +/-0.241 Missouri 4.1 +/-0.243 Maine 3.8 +/-0.344 South Dakota 3.6 +/-0.345 Kentucky 3.5 +/-0.246 Alabama 3.4 +/-0.147 North Dakota 3.2 +/-0.347 Wyoming 3.2 +/-0.449 Montana 2.1 +/-0.250 Mississippi 2.0 +/-0.151 West Virginia 1.7 +/-0.2

Puerto Rico 2.7 +/-0.2

Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability isrepresented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpretedroughly as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin oferror (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject tononsampling error (for a discussion of nonsampling variability, see Accuracy of the Data). The effect of nonsampling error is not represented in thesetables.

While the 2016 American Community Survey (ACS) data generally reflect the February 2013 Office of Management and Budget (OMB) definitions ofmetropolitan and micropolitan statistical areas; in certain instances the names, codes, and boundaries of the principal cities shown in ACS tables maydiffer from the OMB definitions due to differences in the effective dates of the geographic entities.

Estimates of urban and rural population, housing units, and characteristics reflect boundaries of urban areas defined based on Census 2010 data. Asa result, data for urban and rural areas from the ACS do not necessarily reflect the results of ongoing urbanization.

Source: U.S. Census Bureau, 2016 American Community Survey 1-Year Estimates

Explanation of Symbols:

1. An '**' entry in the margin of error column indicates that either no sample observations or too few sample observations were available tocompute a standard error and thus the margin of error. A statistical test is not appropriate. 2. An '-' entry in the estimate column indicates that either no sample observations or too few sample observations were available to compute anestimate, or a ratio of medians cannot be calculated because one or both of the median estimates falls in the lowest interval or upper interval of anopen-ended distribution. 3. An '-' following a median estimate means the median falls in the lowest interval of an open-ended distribution. 4. An '+' following a median estimate means the median falls in the upper interval of an open-ended distribution. 5. An '***' entry in the margin of error column indicates that the median falls in the lowest interval or upper interval of an open-ended distribution. Astatistical test is not appropriate. 6. An '*****' entry in the margin of error column indicates that the estimate is controlled. A statistical test for sampling variability is not appropriate. 7. An 'N' entry in the estimate and margin of error columns indicates that data for this geographic area cannot be displayed because the number ofsample cases is too small. 8. An '(X)' means that the estimate is not applicable or not available.

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R0502 PERCENT OF FOREIGN-BORN PEOPLE BORN IN EUROPE - United States -- States; and Puerto RicoUniverse: Foreign-born population2016 American Community Survey 1-Year Estimates

Supporting documentation on code lists, subject definitions, data accuracy, and statistical testing can be found on the American Community Surveywebsite in the Data and Documentation section.

Sample size and data quality measures (including coverage rates, allocation rates, and response rates) can be found on the American CommunitySurvey website in the Methodology section.

Tell us what you think. Provide feedback to help make American Community Survey data more useful for you.

Although the American Community Survey (ACS) produces population, demographic and housing unit estimates, it is the Census Bureau's PopulationEstimates Program that produces and disseminates the official estimates of the population for the nation, states, counties, cities and towns andestimates of housing units for states and counties.

To view this table with statistical significance, select With Statistical Significance in the Action menu.A # next to a geography indicates when an estimate is not statistically significant from the estimate for the selected geography.The ## indicates the selected geography.

Rank Geographical Area Percent Margin of ErrorUnited States 10.9 +/-0.1

1 Montana 33.9 +/-5.22 Vermont 29.7 +/-4.73 Rhode Island 24.3 +/-2.54 Connecticut 24.2 +/-1.15 New Hampshire 22.7 +/-3.26 Ohio 21.7 +/-1.07 Illinois 20.7 +/-0.68 Maine 20.5 +/-2.78 Massachusetts 20.5 +/-0.710 Michigan 20.2 +/-0.911 Pennsylvania 19.0 +/-0.812 West Virginia 18.9 +/-3.613 South Carolina 18.7 +/-1.514 Missouri 18.5 +/-1.615 Wyoming 18.2 +/-4.916 District of Columbia 17.1 +/-2.417 Wisconsin 16.3 +/-1.018 Oregon 16.1 +/-1.419 New York 15.7 +/-0.320 New Jersey 15.1 +/-0.521 Washington 14.4 +/-0.722 Idaho 13.9 +/-2.123 South Dakota 13.7 +/-3.424 Alaska 13.4 +/-2.525 North Dakota 13.3 +/-4.426 Colorado 13.1 +/-0.827 Kentucky 12.8 +/-1.828 Indiana 12.4 +/-1.328 Iowa 12.4 +/-1.9

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Rank Geographical Area Percent Margin of Error30 Tennessee 11.1 +/-1.131 Delaware 10.9 +/-1.932 Utah 10.3 +/-0.933 Alabama 10.2 +/-1.534 Minnesota 10.1 +/-0.834 North Carolina 10.1 +/-0.636 Virginia 9.8 +/-0.537 Florida 9.7 +/-0.338 Maryland 9.3 +/-0.639 Arizona 9.2 +/-0.540 Mississippi 8.9 +/-2.041 Georgia 8.7 +/-0.742 New Mexico 8.6 +/-1.143 Louisiana 8.5 +/-1.244 Arkansas 7.9 +/-1.445 Oklahoma 7.6 +/-0.946 Nevada 7.2 +/-0.647 Kansas 7.0 +/-0.948 California 6.3 +/-0.148 Nebraska 6.3 +/-1.350 Texas 4.1 +/-0.251 Hawaii 3.7 +/-0.6

Puerto Rico 4.7 +/-1.2

Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability isrepresented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpretedroughly as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin oferror (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject tononsampling error (for a discussion of nonsampling variability, see Accuracy of the Data). The effect of nonsampling error is not represented in thesetables.

U.S. citizens born in Europe are excluded.

While the 2016 American Community Survey (ACS) data generally reflect the February 2013 Office of Management and Budget (OMB) definitions ofmetropolitan and micropolitan statistical areas; in certain instances the names, codes, and boundaries of the principal cities shown in ACS tables maydiffer from the OMB definitions due to differences in the effective dates of the geographic entities.

Estimates of urban and rural population, housing units, and characteristics reflect boundaries of urban areas defined based on Census 2010 data. Asa result, data for urban and rural areas from the ACS do not necessarily reflect the results of ongoing urbanization.

Source: U.S. Census Bureau, 2016 American Community Survey 1-Year Estimates

Explanation of Symbols:

1. An '**' entry in the margin of error column indicates that either no sample observations or too few sample observations were available tocompute a standard error and thus the margin of error. A statistical test is not appropriate. 2. An '-' entry in the estimate column indicates that either no sample observations or too few sample observations were available to compute anestimate, or a ratio of medians cannot be calculated because one or both of the median estimates falls in the lowest interval or upper interval of anopen-ended distribution. 3. An '-' following a median estimate means the median falls in the lowest interval of an open-ended distribution. 4. An '+' following a median estimate means the median falls in the upper interval of an open-ended distribution. 5. An '***' entry in the margin of error column indicates that the median falls in the lowest interval or upper interval of an open-ended distribution. Astatistical test is not appropriate. 6. An '*****' entry in the margin of error column indicates that the estimate is controlled. A statistical test for sampling variability is not appropriate. 7. An 'N' entry in the estimate and margin of error columns indicates that data for this geographic area cannot be displayed because the number ofsample cases is too small. 8. An '(X)' means that the estimate is not applicable or not available.

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R0503 PERCENT OF FOREIGN-BORN PEOPLE BORN IN ASIA - United States -- States; and Puerto RicoUniverse: Foreign-born population2016 American Community Survey 1-Year Estimates

Supporting documentation on code lists, subject definitions, data accuracy, and statistical testing can be found on the American Community Surveywebsite in the Data and Documentation section.

Sample size and data quality measures (including coverage rates, allocation rates, and response rates) can be found on the American CommunitySurvey website in the Methodology section.

Tell us what you think. Provide feedback to help make American Community Survey data more useful for you.

Although the American Community Survey (ACS) produces population, demographic and housing unit estimates, it is the Census Bureau's PopulationEstimates Program that produces and disseminates the official estimates of the population for the nation, states, counties, cities and towns andestimates of housing units for states and counties.

To view this table with statistical significance, select With Statistical Significance in the Action menu.A # next to a geography indicates when an estimate is not statistically significant from the estimate for the selected geography.The ## indicates the selected geography.

Rank Geographical Area Percent Margin of ErrorUnited States 30.8 +/-0.1

1 Hawaii 78.8 +/-1.82 Alaska 57.8 +/-3.73 Michigan 51.0 +/-1.24 Ohio 43.2 +/-1.24 Virginia 43.2 +/-0.76 Washington 42.5 +/-0.87 West Virginia 41.1 +/-4.38 Missouri 39.5 +/-1.79 California 38.9 +/-0.310 Pennsylvania 38.7 +/-1.011 New Hampshire 37.9 +/-3.012 Minnesota 37.4 +/-1.013 Wisconsin 37.0 +/-1.314 Kentucky 36.7 +/-1.915 Iowa 36.2 +/-1.616 Indiana 35.8 +/-1.316 North Dakota 35.8 +/-6.018 Mississippi 34.2 +/-3.619 Montana 34.0 +/-5.420 New Jersey 33.2 +/-0.420 South Dakota 33.2 +/-4.622 Alabama 33.1 +/-1.723 Delaware 33.0 +/-2.424 Maryland 32.8 +/-0.825 Kansas 32.2 +/-1.825 Oregon 32.2 +/-1.427 Louisiana 31.2 +/-1.628 Maine 30.8 +/-3.629 Tennessee 30.7 +/-1.3

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Rank Geographical Area Percent Margin of Error30 Nevada 30.6 +/-1.031 Massachusetts 30.3 +/-0.632 Georgia 30.1 +/-0.933 Illinois 30.0 +/-0.634 Nebraska 29.7 +/-1.835 Vermont 29.4 +/-4.836 New York 29.1 +/-0.337 North Carolina 27.9 +/-0.838 Oklahoma 27.7 +/-1.139 Connecticut 25.1 +/-1.040 Colorado 24.7 +/-1.041 South Carolina 24.2 +/-1.641 Wyoming 24.2 +/-5.343 Arkansas 23.7 +/-1.644 Idaho 21.1 +/-2.644 Texas 21.1 +/-0.346 Utah 21.0 +/-1.347 Arizona 20.5 +/-0.748 District of Columbia 19.3 +/-2.149 Rhode Island 18.2 +/-1.850 New Mexico 13.8 +/-1.351 Florida 10.8 +/-0.3

Puerto Rico 2.3 +/-1.0

Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability isrepresented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpretedroughly as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin oferror (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject tononsampling error (for a discussion of nonsampling variability, see Accuracy of the Data). The effect of nonsampling error is not represented in thesetables.

U.S. citizens born in Asia are excluded.

While the 2016 American Community Survey (ACS) data generally reflect the February 2013 Office of Management and Budget (OMB) definitions ofmetropolitan and micropolitan statistical areas; in certain instances the names, codes, and boundaries of the principal cities shown in ACS tables maydiffer from the OMB definitions due to differences in the effective dates of the geographic entities.

Estimates of urban and rural population, housing units, and characteristics reflect boundaries of urban areas defined based on Census 2010 data. Asa result, data for urban and rural areas from the ACS do not necessarily reflect the results of ongoing urbanization.

Source: U.S. Census Bureau, 2016 American Community Survey 1-Year Estimates

Explanation of Symbols:

1. An '**' entry in the margin of error column indicates that either no sample observations or too few sample observations were available tocompute a standard error and thus the margin of error. A statistical test is not appropriate. 2. An '-' entry in the estimate column indicates that either no sample observations or too few sample observations were available to compute anestimate, or a ratio of medians cannot be calculated because one or both of the median estimates falls in the lowest interval or upper interval of anopen-ended distribution. 3. An '-' following a median estimate means the median falls in the lowest interval of an open-ended distribution. 4. An '+' following a median estimate means the median falls in the upper interval of an open-ended distribution. 5. An '***' entry in the margin of error column indicates that the median falls in the lowest interval or upper interval of an open-ended distribution. Astatistical test is not appropriate. 6. An '*****' entry in the margin of error column indicates that the estimate is controlled. A statistical test for sampling variability is not appropriate. 7. An 'N' entry in the estimate and margin of error columns indicates that data for this geographic area cannot be displayed because the number ofsample cases is too small. 8. An '(X)' means that the estimate is not applicable or not available.

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R0504 PERCENT OF FOREIGN-BORN PEOPLE BORN IN LATIN AMERICA - United States -- States; andPuerto RicoUniverse: Foreign-born population2016 American Community Survey 1-Year Estimates

Supporting documentation on code lists, subject definitions, data accuracy, and statistical testing can be found on the American Community Surveywebsite in the Data and Documentation section.

Sample size and data quality measures (including coverage rates, allocation rates, and response rates) can be found on the American CommunitySurvey website in the Methodology section.

Tell us what you think. Provide feedback to help make American Community Survey data more useful for you.

Although the American Community Survey (ACS) produces population, demographic and housing unit estimates, it is the Census Bureau's PopulationEstimates Program that produces and disseminates the official estimates of the population for the nation, states, counties, cities and towns andestimates of housing units for states and counties.

To view this table with statistical significance, select With Statistical Significance in the Action menu.A # next to a geography indicates when an estimate is not statistically significant from the estimate for the selected geography.The ## indicates the selected geography.

Rank Geographical Area Percent Margin of ErrorUnited States 51.0 +/-0.1

1 Florida 74.9 +/-0.42 New Mexico 74.5 +/-1.83 Texas 68.6 +/-0.44 Arizona 61.6 +/-0.95 Arkansas 58.9 +/-2.05 Utah 58.9 +/-1.47 Idaho 58.1 +/-2.87 Oklahoma 58.1 +/-1.59 Nevada 56.3 +/-1.010 Kansas 55.0 +/-2.111 Nebraska 54.6 +/-2.112 Louisiana 54.5 +/-1.713 North Carolina 52.5 +/-0.914 Colorado 52.3 +/-1.215 California 51.1 +/-0.316 South Carolina 50.2 +/-1.817 Alabama 49.3 +/-2.218 New York 49.2 +/-0.419 Georgia 49.1 +/-1.020 Mississippi 47.9 +/-3.921 Wyoming 46.9 +/-7.622 Tennessee 46.7 +/-1.323 New Jersey 45.9 +/-0.624 District of Columbia 45.1 +/-3.325 Illinois 44.6 +/-0.626 Delaware 43.0 +/-2.927 Oregon 42.9 +/-1.528 Connecticut 42.7 +/-1.2

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Rank Geographical Area Percent Margin of Error29 Indiana 42.5 +/-1.630 Rhode Island 42.2 +/-2.431 Maryland 39.5 +/-1.032 Wisconsin 38.4 +/-1.433 Iowa 38.2 +/-1.934 Massachusetts 37.0 +/-0.935 Kentucky 36.2 +/-2.236 Virginia 35.2 +/-0.837 Pennsylvania 30.8 +/-1.138 Washington 30.2 +/-0.939 Missouri 29.6 +/-1.540 Minnesota 25.8 +/-0.940 South Dakota 25.8 +/-4.342 West Virginia 24.2 +/-4.243 North Dakota 21.4 +/-5.744 Alaska 19.8 +/-4.145 New Hampshire 19.5 +/-2.846 Michigan 19.1 +/-0.847 Ohio 18.3 +/-1.148 Montana 10.3 +/-2.849 Maine 9.7 +/-2.350 Vermont 9.4 +/-2.451 Hawaii 4.6 +/-0.8

Puerto Rico 91.8 +/-1.7

Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability isrepresented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpretedroughly as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin oferror (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject tononsampling error (for a discussion of nonsampling variability, see Accuracy of the Data). The effect of nonsampling error is not represented in thesetables.

U.S. citizens born in Latin America are excluded.

While the 2016 American Community Survey (ACS) data generally reflect the February 2013 Office of Management and Budget (OMB) definitions ofmetropolitan and micropolitan statistical areas; in certain instances the names, codes, and boundaries of the principal cities shown in ACS tables maydiffer from the OMB definitions due to differences in the effective dates of the geographic entities.

Estimates of urban and rural population, housing units, and characteristics reflect boundaries of urban areas defined based on Census 2010 data. Asa result, data for urban and rural areas from the ACS do not necessarily reflect the results of ongoing urbanization.

Source: U.S. Census Bureau, 2016 American Community Survey 1-Year Estimates

Explanation of Symbols:

1. An '**' entry in the margin of error column indicates that either no sample observations or too few sample observations were available tocompute a standard error and thus the margin of error. A statistical test is not appropriate. 2. An '-' entry in the estimate column indicates that either no sample observations or too few sample observations were available to compute anestimate, or a ratio of medians cannot be calculated because one or both of the median estimates falls in the lowest interval or upper interval of anopen-ended distribution. 3. An '-' following a median estimate means the median falls in the lowest interval of an open-ended distribution. 4. An '+' following a median estimate means the median falls in the upper interval of an open-ended distribution. 5. An '***' entry in the margin of error column indicates that the median falls in the lowest interval or upper interval of an open-ended distribution. Astatistical test is not appropriate. 6. An '*****' entry in the margin of error column indicates that the estimate is controlled. A statistical test for sampling variability is not appropriate. 7. An 'N' entry in the estimate and margin of error columns indicates that data for this geographic area cannot be displayed because the number ofsample cases is too small. 8. An '(X)' means that the estimate is not applicable or not available.

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R0505 PERCENT OF FOREIGN-BORN PEOPLE BORN IN MEXICO - United States -- States; and Puerto RicoUniverse: Foreign-born population2016 American Community Survey 1-Year Estimates

Supporting documentation on code lists, subject definitions, data accuracy, and statistical testing can be found on the American Community Surveywebsite in the Data and Documentation section.

Sample size and data quality measures (including coverage rates, allocation rates, and response rates) can be found on the American CommunitySurvey website in the Methodology section.

Tell us what you think. Provide feedback to help make American Community Survey data more useful for you.

Although the American Community Survey (ACS) produces population, demographic and housing unit estimates, it is the Census Bureau's PopulationEstimates Program that produces and disseminates the official estimates of the population for the nation, states, counties, cities and towns andestimates of housing units for states and counties.

To view this table with statistical significance, select With Statistical Significance in the Action menu.A # next to a geography indicates when an estimate is not statistically significant from the estimate for the selected geography.The ## indicates the selected geography.

Rank Geographical Area Percent Margin of ErrorUnited States 26.5 +/-0.2

1 New Mexico 69.2 +/-2.02 Texas 54.7 +/-0.63 Arizona 54.6 +/-1.04 Idaho 50.5 +/-3.15 Oklahoma 47.0 +/-1.66 Colorado 42.9 +/-1.37 Arkansas 41.5 +/-2.98 Kansas 40.7 +/-2.39 Nevada 40.2 +/-1.310 Utah 39.9 +/-2.111 California 39.7 +/-0.312 Wyoming 37.0 +/-7.613 Illinois 36.6 +/-0.714 Oregon 35.8 +/-1.515 Nebraska 34.2 +/-2.516 Alabama 31.1 +/-2.517 Indiana 30.8 +/-1.618 Wisconsin 30.5 +/-1.619 Mississippi 30.0 +/-4.420 Tennessee 29.7 +/-1.721 North Carolina 29.3 +/-1.022 South Carolina 28.3 +/-2.323 Iowa 26.7 +/-2.324 Georgia 24.9 +/-1.025 Washington 24.8 +/-0.826 Kentucky 18.8 +/-2.227 Delaware 18.4 +/-2.828 Louisiana 17.3 +/-2.228 Missouri 17.3 +/-1.7

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Rank Geographical Area Percent Margin of Error30 Minnesota 14.1 +/-0.931 North Dakota 13.6 +/-4.132 Michigan 12.5 +/-0.833 South Dakota 9.9 +/-3.834 Ohio 7.8 +/-0.935 Pennsylvania 7.0 +/-0.636 West Virginia 6.8 +/-2.337 Florida 6.5 +/-0.338 New Jersey 6.1 +/-0.539 Connecticut 5.7 +/-1.040 Alaska 5.6 +/-1.941 New York 5.3 +/-0.342 Virginia 5.1 +/-0.543 New Hampshire 4.4 +/-1.744 Maryland 4.0 +/-0.545 District of Columbia 3.5 +/-1.946 Vermont 3.3 +/-1.547 Montana 3.1 +/-1.548 Rhode Island 2.5 +/-0.949 Hawaii 2.0 +/-0.750 Massachusetts 1.4 +/-0.351 Maine 0.7 +/-0.8

Puerto Rico 2.8 +/-0.9

Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability isrepresented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpretedroughly as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin oferror (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject tononsampling error (for a discussion of nonsampling variability, see Accuracy of the Data). The effect of nonsampling error is not represented in thesetables.

U.S. citizens born in Mexico are excluded.

While the 2016 American Community Survey (ACS) data generally reflect the February 2013 Office of Management and Budget (OMB) definitions ofmetropolitan and micropolitan statistical areas; in certain instances the names, codes, and boundaries of the principal cities shown in ACS tables maydiffer from the OMB definitions due to differences in the effective dates of the geographic entities.

Estimates of urban and rural population, housing units, and characteristics reflect boundaries of urban areas defined based on Census 2010 data. Asa result, data for urban and rural areas from the ACS do not necessarily reflect the results of ongoing urbanization.

Source: U.S. Census Bureau, 2016 American Community Survey 1-Year Estimates

Explanation of Symbols:

1. An '**' entry in the margin of error column indicates that either no sample observations or too few sample observations were available tocompute a standard error and thus the margin of error. A statistical test is not appropriate. 2. An '-' entry in the estimate column indicates that either no sample observations or too few sample observations were available to compute anestimate, or a ratio of medians cannot be calculated because one or both of the median estimates falls in the lowest interval or upper interval of anopen-ended distribution. 3. An '-' following a median estimate means the median falls in the lowest interval of an open-ended distribution. 4. An '+' following a median estimate means the median falls in the upper interval of an open-ended distribution. 5. An '***' entry in the margin of error column indicates that the median falls in the lowest interval or upper interval of an open-ended distribution. Astatistical test is not appropriate. 6. An '*****' entry in the margin of error column indicates that the estimate is controlled. A statistical test for sampling variability is not appropriate. 7. An 'N' entry in the estimate and margin of error columns indicates that data for this geographic area cannot be displayed because the number ofsample cases is too small. 8. An '(X)' means that the estimate is not applicable or not available.

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R0601 PERCENT OF THE NATIVE POPULATION BORN IN THEIR STATE OF RESIDENCE (INCLUDINGPUERTO RICO) - United States -- States; and Puerto RicoUniverse: Native population2016 American Community Survey 1-Year Estimates

Supporting documentation on code lists, subject definitions, data accuracy, and statistical testing can be found on the American Community Surveywebsite in the Data and Documentation section.

Sample size and data quality measures (including coverage rates, allocation rates, and response rates) can be found on the American CommunitySurvey website in the Methodology section.

Tell us what you think. Provide feedback to help make American Community Survey data more useful for you.

Although the American Community Survey (ACS) produces population, demographic and housing unit estimates, it is the Census Bureau's PopulationEstimates Program that produces and disseminates the official estimates of the population for the nation, states, counties, cities and towns andestimates of housing units for states and counties.

To view this table with statistical significance, select With Statistical Significance in the Action menu.A # next to a geography indicates when an estimate is not statistically significant from the estimate for the selected geography.The ## indicates the selected geography.

Rank Geographical Area Percent Margin of ErrorUnited States 67.5 +/-0.1

1 Michigan 81.8 +/-0.22 Louisiana 81.5 +/-0.43 New York 81.4 +/-0.24 Ohio 78.5 +/-0.25 Illinois 78.0 +/-0.26 Pennsylvania 77.7 +/-0.27 California 75.5 +/-0.28 Wisconsin 75.3 +/-0.39 Iowa 74.3 +/-0.410 Minnesota 74.0 +/-0.311 Massachusetts 73.0 +/-0.311 Mississippi 73.0 +/-0.613 Indiana 72.0 +/-0.414 Alabama 71.9 +/-0.414 Texas 71.9 +/-0.216 Kentucky 71.4 +/-0.417 West Virginia 70.1 +/-0.618 Nebraska 69.5 +/-0.519 Missouri 69.1 +/-0.420 Utah 67.6 +/-0.621 New Jersey 67.4 +/-0.322 South Dakota 66.9 +/-0.923 Rhode Island 65.6 +/-0.824 Hawaii 65.3 +/-0.825 Oklahoma 65.2 +/-0.526 Maine 65.1 +/-0.827 North Dakota 64.6 +/-1.028 Connecticut 64.5 +/-0.5

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Rank Geographical Area Percent Margin of Error29 Tennessee 64.3 +/-0.430 Arkansas 64.2 +/-0.631 Kansas 63.6 +/-0.632 North Carolina 61.6 +/-0.433 Georgia 60.8 +/-0.334 South Carolina 59.8 +/-0.535 New Mexico 58.5 +/-0.736 Maryland 56.3 +/-0.436 Virginia 56.3 +/-0.438 Montana 55.9 +/-1.039 Washington 54.4 +/-0.440 Vermont 52.6 +/-1.141 Idaho 51.3 +/-1.042 Oregon 51.2 +/-0.543 Delaware 49.6 +/-1.044 Colorado 47.5 +/-0.445 Arizona 45.6 +/-0.446 Florida 45.1 +/-0.247 New Hampshire 44.2 +/-0.848 Alaska 44.1 +/-1.048 Wyoming 44.1 +/-1.250 District of Columbia 42.9 +/-1.051 Nevada 33.0 +/-0.6

Puerto Rico 94.7 +/-0.2

Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability isrepresented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpretedroughly as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin oferror (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject tononsampling error (for a discussion of nonsampling variability, see Accuracy of the Data). The effect of nonsampling error is not represented in thesetables.

While the 2016 American Community Survey (ACS) data generally reflect the February 2013 Office of Management and Budget (OMB) definitions ofmetropolitan and micropolitan statistical areas; in certain instances the names, codes, and boundaries of the principal cities shown in ACS tables maydiffer from the OMB definitions due to differences in the effective dates of the geographic entities.

Estimates of urban and rural population, housing units, and characteristics reflect boundaries of urban areas defined based on Census 2010 data. Asa result, data for urban and rural areas from the ACS do not necessarily reflect the results of ongoing urbanization.

Source: U.S. Census Bureau, 2016 American Community Survey 1-Year Estimates

Explanation of Symbols:

1. An '**' entry in the margin of error column indicates that either no sample observations or too few sample observations were available tocompute a standard error and thus the margin of error. A statistical test is not appropriate. 2. An '-' entry in the estimate column indicates that either no sample observations or too few sample observations were available to compute anestimate, or a ratio of medians cannot be calculated because one or both of the median estimates falls in the lowest interval or upper interval of anopen-ended distribution. 3. An '-' following a median estimate means the median falls in the lowest interval of an open-ended distribution. 4. An '+' following a median estimate means the median falls in the upper interval of an open-ended distribution. 5. An '***' entry in the margin of error column indicates that the median falls in the lowest interval or upper interval of an open-ended distribution. Astatistical test is not appropriate. 6. An '*****' entry in the margin of error column indicates that the estimate is controlled. A statistical test for sampling variability is not appropriate. 7. An 'N' entry in the estimate and margin of error columns indicates that data for this geographic area cannot be displayed because the number ofsample cases is too small. 8. An '(X)' means that the estimate is not applicable or not available.

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R0701 PERCENT OF PEOPLE 1 YEAR AND OVER WHO LIVED IN A DIFFERENT HOUSE IN EITHER THEU.S. OR PUERTO RICO 1 YEAR AGO - United States -- States; and Puerto RicoUniverse: Population 1 year and over2016 American Community Survey 1-Year Estimates

Supporting documentation on code lists, subject definitions, data accuracy, and statistical testing can be found on the American Community Surveywebsite in the Data and Documentation section.

Sample size and data quality measures (including coverage rates, allocation rates, and response rates) can be found on the American CommunitySurvey website in the Methodology section.

Tell us what you think. Provide feedback to help make American Community Survey data more useful for you.

Although the American Community Survey (ACS) produces population, demographic and housing unit estimates, it is the Census Bureau's PopulationEstimates Program that produces and disseminates the official estimates of the population for the nation, states, counties, cities and towns andestimates of housing units for states and counties.

To view this table with statistical significance, select With Statistical Significance in the Action menu.A # next to a geography indicates when an estimate is not statistically significant from the estimate for the selected geography.The ## indicates the selected geography.

Rank Geographical Area Percent Margin of ErrorUnited States 14.0 +/-0.1

1 District of Columbia 18.3 +/-1.02 Alaska 18.1 +/-1.03 Colorado 17.9 +/-0.54 Arizona 17.7 +/-0.44 Oregon 17.7 +/-0.54 Wyoming 17.7 +/-1.57 Idaho 17.2 +/-0.98 Nevada 16.9 +/-0.78 Washington 16.9 +/-0.410 Utah 16.8 +/-0.611 North Dakota 16.3 +/-1.011 Oklahoma 16.3 +/-0.413 Montana 16.1 +/-0.714 Kansas 16.0 +/-0.515 Nebraska 15.9 +/-0.716 Georgia 15.7 +/-0.317 Arkansas 15.5 +/-0.618 Kentucky 15.3 +/-0.418 Missouri 15.3 +/-0.420 North Carolina 15.2 +/-0.320 South Dakota 15.2 +/-0.822 Texas 15.1 +/-0.223 Iowa 14.9 +/-0.524 Florida 14.8 +/-0.224 Virginia 14.8 +/-0.326 New Hampshire 14.6 +/-0.726 Ohio 14.6 +/-0.328 Indiana 14.5 +/-0.4

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Rank Geographical Area Percent Margin of Error29 South Carolina 14.4 +/-0.630 Wisconsin 14.3 +/-0.431 Michigan 14.2 +/-0.332 Minnesota 13.9 +/-0.332 Tennessee 13.9 +/-0.434 Alabama 13.6 +/-0.434 New Mexico 13.6 +/-0.636 Rhode Island 13.3 +/-0.937 Louisiana 13.2 +/-0.537 Mississippi 13.2 +/-0.637 Vermont 13.2 +/-0.940 Maryland 12.9 +/-0.441 Maine 12.8 +/-0.642 Delaware 12.7 +/-1.043 Illinois 12.6 +/-0.344 California 12.5 +/-0.245 Hawaii 12.4 +/-0.845 Pennsylvania 12.4 +/-0.345 West Virginia 12.4 +/-0.648 Massachusetts 12.0 +/-0.349 Connecticut 11.3 +/-0.450 New York 9.7 +/-0.251 New Jersey 9.6 +/-0.3

Puerto Rico 7.0 +/-0.3

Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability isrepresented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpretedroughly as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin oferror (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject tononsampling error (for a discussion of nonsampling variability, see Accuracy of the Data). The effect of nonsampling error is not represented in thesetables.

While the 2016 American Community Survey (ACS) data generally reflect the February 2013 Office of Management and Budget (OMB) definitions ofmetropolitan and micropolitan statistical areas; in certain instances the names, codes, and boundaries of the principal cities shown in ACS tables maydiffer from the OMB definitions due to differences in the effective dates of the geographic entities.

Estimates of urban and rural population, housing units, and characteristics reflect boundaries of urban areas defined based on Census 2010 data. Asa result, data for urban and rural areas from the ACS do not necessarily reflect the results of ongoing urbanization.

Source: U.S. Census Bureau, 2016 American Community Survey 1-Year Estimates

Explanation of Symbols:

1. An '**' entry in the margin of error column indicates that either no sample observations or too few sample observations were available tocompute a standard error and thus the margin of error. A statistical test is not appropriate. 2. An '-' entry in the estimate column indicates that either no sample observations or too few sample observations were available to compute anestimate, or a ratio of medians cannot be calculated because one or both of the median estimates falls in the lowest interval or upper interval of anopen-ended distribution. 3. An '-' following a median estimate means the median falls in the lowest interval of an open-ended distribution. 4. An '+' following a median estimate means the median falls in the upper interval of an open-ended distribution. 5. An '***' entry in the margin of error column indicates that the median falls in the lowest interval or upper interval of an open-ended distribution. Astatistical test is not appropriate. 6. An '*****' entry in the margin of error column indicates that the estimate is controlled. A statistical test for sampling variability is not appropriate. 7. An 'N' entry in the estimate and margin of error columns indicates that data for this geographic area cannot be displayed because the number ofsample cases is too small. 8. An '(X)' means that the estimate is not applicable or not available.

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R0702 PERCENT OF PEOPLE 1 YEAR AND OVER WHO LIVED IN A DIFFERENT HOUSE WITHIN THESAME STATE (INCLUDING PUERTO RICO) 1 YEAR AGO - United States -- States; and Puerto RicoUniverse: Population 1 year and over2016 American Community Survey 1-Year Estimates

Supporting documentation on code lists, subject definitions, data accuracy, and statistical testing can be found on the American Community Surveywebsite in the Data and Documentation section.

Sample size and data quality measures (including coverage rates, allocation rates, and response rates) can be found on the American CommunitySurvey website in the Methodology section.

Tell us what you think. Provide feedback to help make American Community Survey data more useful for you.

Although the American Community Survey (ACS) produces population, demographic and housing unit estimates, it is the Census Bureau's PopulationEstimates Program that produces and disseminates the official estimates of the population for the nation, states, counties, cities and towns andestimates of housing units for states and counties.

To view this table with statistical significance, select With Statistical Significance in the Action menu.A # next to a geography indicates when an estimate is not statistically significant from the estimate for the selected geography.The ## indicates the selected geography.

Rank Geographical Area Percent Margin of ErrorUnited States 11.6 +/-0.1

1 Oregon 14.3 +/-0.52 Colorado 13.8 +/-0.53 Alaska 13.7 +/-0.93 Arizona 13.7 +/-0.43 Oklahoma 13.7 +/-0.46 Washington 13.3 +/-0.47 Nebraska 13.2 +/-0.67 Utah 13.2 +/-0.67 Wyoming 13.2 +/-1.110 Texas 13.1 +/-0.211 Arkansas 13.0 +/-0.512 Idaho 12.9 +/-0.812 Kansas 12.9 +/-0.412 Nevada 12.9 +/-0.612 Ohio 12.9 +/-0.316 Georgia 12.7 +/-0.317 Kentucky 12.6 +/-0.417 Michigan 12.6 +/-0.317 Missouri 12.6 +/-0.320 Iowa 12.4 +/-0.420 Montana 12.4 +/-0.722 Indiana 12.2 +/-0.422 North Dakota 12.2 +/-0.922 Wisconsin 12.2 +/-0.325 North Carolina 11.9 +/-0.326 Minnesota 11.8 +/-0.327 Florida 11.7 +/-0.228 Virginia 11.6 +/-0.3

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Rank Geographical Area Percent Margin of Error29 Louisiana 11.4 +/-0.529 South Dakota 11.4 +/-0.831 Tennessee 11.3 +/-0.432 California 11.2 +/-0.233 South Carolina 11.1 +/-0.534 Alabama 11.0 +/-0.434 Illinois 11.0 +/-0.234 Mississippi 11.0 +/-0.537 New Hampshire 10.6 +/-0.638 New Mexico 10.4 +/-0.639 Pennsylvania 10.3 +/-0.340 Maryland 10.2 +/-0.440 Rhode Island 10.2 +/-0.942 Maine 9.8 +/-0.542 Vermont 9.8 +/-0.842 West Virginia 9.8 +/-0.545 Massachusetts 9.7 +/-0.246 District of Columbia 9.5 +/-0.947 Connecticut 9.1 +/-0.448 Delaware 9.0 +/-0.949 Hawaii 8.4 +/-0.849 New York 8.4 +/-0.251 New Jersey 7.9 +/-0.3

Puerto Rico 6.4 +/-0.3

Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability isrepresented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpretedroughly as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin oferror (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject tononsampling error (for a discussion of nonsampling variability, see Accuracy of the Data). The effect of nonsampling error is not represented in thesetables.

While the 2016 American Community Survey (ACS) data generally reflect the February 2013 Office of Management and Budget (OMB) definitions ofmetropolitan and micropolitan statistical areas; in certain instances the names, codes, and boundaries of the principal cities shown in ACS tables maydiffer from the OMB definitions due to differences in the effective dates of the geographic entities.

Estimates of urban and rural population, housing units, and characteristics reflect boundaries of urban areas defined based on Census 2010 data. Asa result, data for urban and rural areas from the ACS do not necessarily reflect the results of ongoing urbanization.

Source: U.S. Census Bureau, 2016 American Community Survey 1-Year Estimates

Explanation of Symbols:

1. An '**' entry in the margin of error column indicates that either no sample observations or too few sample observations were available tocompute a standard error and thus the margin of error. A statistical test is not appropriate. 2. An '-' entry in the estimate column indicates that either no sample observations or too few sample observations were available to compute anestimate, or a ratio of medians cannot be calculated because one or both of the median estimates falls in the lowest interval or upper interval of anopen-ended distribution. 3. An '-' following a median estimate means the median falls in the lowest interval of an open-ended distribution. 4. An '+' following a median estimate means the median falls in the upper interval of an open-ended distribution. 5. An '***' entry in the margin of error column indicates that the median falls in the lowest interval or upper interval of an open-ended distribution. Astatistical test is not appropriate. 6. An '*****' entry in the margin of error column indicates that the estimate is controlled. A statistical test for sampling variability is not appropriate. 7. An 'N' entry in the estimate and margin of error columns indicates that data for this geographic area cannot be displayed because the number ofsample cases is too small. 8. An '(X)' means that the estimate is not applicable or not available.

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R0703 PERCENT OF PEOPLE 1 YEAR AND OVER WHO LIVED IN A DIFFERENT STATE (INCLUDINGPUERTO RICO) 1 YEAR AGO - United States -- States; and Puerto RicoUniverse: Population 1 year and over2016 American Community Survey 1-Year Estimates

Supporting documentation on code lists, subject definitions, data accuracy, and statistical testing can be found on the American Community Surveywebsite in the Data and Documentation section.

Sample size and data quality measures (including coverage rates, allocation rates, and response rates) can be found on the American CommunitySurvey website in the Methodology section.

Tell us what you think. Provide feedback to help make American Community Survey data more useful for you.

Although the American Community Survey (ACS) produces population, demographic and housing unit estimates, it is the Census Bureau's PopulationEstimates Program that produces and disseminates the official estimates of the population for the nation, states, counties, cities and towns andestimates of housing units for states and counties.

To view this table with statistical significance, select With Statistical Significance in the Action menu.A # next to a geography indicates when an estimate is not statistically significant from the estimate for the selected geography.The ## indicates the selected geography.

Rank Geographical Area Percent Margin of ErrorUnited States 2.4 +/-0.1

1 District of Columbia 8.7 +/-0.62 Wyoming 4.6 +/-0.73 Alaska 4.4 +/-0.54 Idaho 4.3 +/-0.45 Colorado 4.1 +/-0.25 Hawaii 4.1 +/-0.55 Nevada 4.1 +/-0.35 North Dakota 4.1 +/-0.59 Arizona 4.0 +/-0.29 New Hampshire 4.0 +/-0.411 Montana 3.7 +/-0.411 South Dakota 3.7 +/-0.513 Delaware 3.6 +/-0.313 Utah 3.6 +/-0.313 Washington 3.6 +/-0.216 Oregon 3.4 +/-0.216 South Carolina 3.4 +/-0.216 Vermont 3.4 +/-0.419 North Carolina 3.3 +/-0.120 New Mexico 3.2 +/-0.320 Virginia 3.2 +/-0.122 Florida 3.1 +/-0.122 Kansas 3.1 +/-0.222 Rhode Island 3.1 +/-0.425 Georgia 3.0 +/-0.126 Maine 2.9 +/-0.427 Maryland 2.7 +/-0.227 Missouri 2.7 +/-0.1

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Rank Geographical Area Percent Margin of Error27 Nebraska 2.7 +/-0.330 Kentucky 2.6 +/-0.230 Oklahoma 2.6 +/-0.230 Tennessee 2.6 +/-0.230 West Virginia 2.6 +/-0.334 Alabama 2.5 +/-0.234 Iowa 2.5 +/-0.236 Arkansas 2.4 +/-0.237 Massachusetts 2.3 +/-0.138 Connecticut 2.2 +/-0.238 Indiana 2.2 +/-0.138 Mississippi 2.2 +/-0.241 Wisconsin 2.1 +/-0.142 Minnesota 2.0 +/-0.142 Pennsylvania 2.0 +/-0.142 Texas 2.0 +/-0.145 Louisiana 1.9 +/-0.246 New Jersey 1.7 +/-0.146 Ohio 1.7 +/-0.148 Illinois 1.6 +/-0.148 Michigan 1.6 +/-0.150 New York 1.4 +/-0.151 California 1.3 +/-0.1

Puerto Rico 0.6 +/-0.1

Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability isrepresented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpretedroughly as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin oferror (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject tononsampling error (for a discussion of nonsampling variability, see Accuracy of the Data). The effect of nonsampling error is not represented in thesetables.

While the 2016 American Community Survey (ACS) data generally reflect the February 2013 Office of Management and Budget (OMB) definitions ofmetropolitan and micropolitan statistical areas; in certain instances the names, codes, and boundaries of the principal cities shown in ACS tables maydiffer from the OMB definitions due to differences in the effective dates of the geographic entities.

Estimates of urban and rural population, housing units, and characteristics reflect boundaries of urban areas defined based on Census 2010 data. Asa result, data for urban and rural areas from the ACS do not necessarily reflect the results of ongoing urbanization.

Source: U.S. Census Bureau, 2016 American Community Survey 1-Year Estimates

Explanation of Symbols:

1. An '**' entry in the margin of error column indicates that either no sample observations or too few sample observations were available tocompute a standard error and thus the margin of error. A statistical test is not appropriate. 2. An '-' entry in the estimate column indicates that either no sample observations or too few sample observations were available to compute anestimate, or a ratio of medians cannot be calculated because one or both of the median estimates falls in the lowest interval or upper interval of anopen-ended distribution. 3. An '-' following a median estimate means the median falls in the lowest interval of an open-ended distribution. 4. An '+' following a median estimate means the median falls in the upper interval of an open-ended distribution. 5. An '***' entry in the margin of error column indicates that the median falls in the lowest interval or upper interval of an open-ended distribution. Astatistical test is not appropriate. 6. An '*****' entry in the margin of error column indicates that the estimate is controlled. A statistical test for sampling variability is not appropriate. 7. An 'N' entry in the estimate and margin of error columns indicates that data for this geographic area cannot be displayed because the number ofsample cases is too small. 8. An '(X)' means that the estimate is not applicable or not available.

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R0801 MEAN TRAVEL TIME TO WORK OF WORKERS 16 YEARS AND OVER WHO DID NOT WORK ATHOME (MINUTES) - United States -- States; and Puerto RicoUniverse: Workers 16 years and over who did not work at home2016 American Community Survey 1-Year Estimates

Supporting documentation on code lists, subject definitions, data accuracy, and statistical testing can be found on the American Community Surveywebsite in the Data and Documentation section.

Sample size and data quality measures (including coverage rates, allocation rates, and response rates) can be found on the American CommunitySurvey website in the Methodology section.

Tell us what you think. Provide feedback to help make American Community Survey data more useful for you.

Although the American Community Survey (ACS) produces population, demographic and housing unit estimates, it is the Census Bureau's PopulationEstimates Program that produces and disseminates the official estimates of the population for the nation, states, counties, cities and towns andestimates of housing units for states and counties.

To view this table with statistical significance, select With Statistical Significance in the Action menu.A # next to a geography indicates when an estimate is not statistically significant from the estimate for the selected geography.The ## indicates the selected geography.

Rank Geographical Area Minute Margin of ErrorUnited States 26.6 +/-0.1

1 New York 33.4 +/-0.12 Maryland 32.8 +/-0.33 New Jersey 31.7 +/-0.24 District of Columbia 30.8 +/-0.65 Massachusetts 29.6 +/-0.26 California 29.4 +/-0.17 Illinois 28.9 +/-0.18 Georgia 28.5 +/-0.28 Virginia 28.5 +/-0.210 Washington 27.8 +/-0.211 Florida 27.4 +/-0.111 Hawaii 27.4 +/-0.413 New Hampshire 26.9 +/-0.513 Pennsylvania 26.9 +/-0.115 Texas 26.5 +/-0.116 Connecticut 26.3 +/-0.317 Delaware 26.1 +/-0.518 West Virginia 25.4 +/-0.419 Arizona 25.3 +/-0.320 Tennessee 25.1 +/-0.221 Colorado 25.0 +/-0.221 Louisiana 25.0 +/-0.323 Rhode Island 24.8 +/-0.524 South Carolina 24.7 +/-0.225 Alabama 24.6 +/-0.326 Michigan 24.5 +/-0.127 North Carolina 24.4 +/-0.228 Mississippi 24.3 +/-0.4

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Rank Geographical Area Minute Margin of Error29 Nevada 24.1 +/-0.330 Maine 23.9 +/-0.630 Oregon 23.9 +/-0.332 Missouri 23.7 +/-0.233 Indiana 23.6 +/-0.234 Minnesota 23.5 +/-0.235 Ohio 23.4 +/-0.236 Kentucky 23.3 +/-0.337 Vermont 23.1 +/-0.538 New Mexico 21.9 +/-0.338 Wisconsin 21.9 +/-0.240 Utah 21.6 +/-0.241 Oklahoma 21.4 +/-0.242 Arkansas 21.2 +/-0.343 Idaho 20.9 +/-0.444 Kansas 19.4 +/-0.345 Iowa 19.0 +/-0.246 Nebraska 18.6 +/-0.347 Alaska 18.0 +/-0.548 Montana 17.5 +/-0.449 North Dakota 17.4 +/-0.550 Wyoming 16.9 +/-0.751 South Dakota 16.6 +/-0.4

Puerto Rico 29.1 +/-0.4

Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability isrepresented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpretedroughly as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin oferror (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject tononsampling error (for a discussion of nonsampling variability, see Accuracy of the Data). The effect of nonsampling error is not represented in thesetables.

While the 2016 American Community Survey (ACS) data generally reflect the February 2013 Office of Management and Budget (OMB) definitions ofmetropolitan and micropolitan statistical areas; in certain instances the names, codes, and boundaries of the principal cities shown in ACS tables maydiffer from the OMB definitions due to differences in the effective dates of the geographic entities.

Estimates of urban and rural population, housing units, and characteristics reflect boundaries of urban areas defined based on Census 2010 data. Asa result, data for urban and rural areas from the ACS do not necessarily reflect the results of ongoing urbanization.

Source: U.S. Census Bureau, 2016 American Community Survey 1-Year Estimates

Explanation of Symbols:

1. An '**' entry in the margin of error column indicates that either no sample observations or too few sample observations were available tocompute a standard error and thus the margin of error. A statistical test is not appropriate. 2. An '-' entry in the estimate column indicates that either no sample observations or too few sample observations were available to compute anestimate, or a ratio of medians cannot be calculated because one or both of the median estimates falls in the lowest interval or upper interval of anopen-ended distribution. 3. An '-' following a median estimate means the median falls in the lowest interval of an open-ended distribution. 4. An '+' following a median estimate means the median falls in the upper interval of an open-ended distribution. 5. An '***' entry in the margin of error column indicates that the median falls in the lowest interval or upper interval of an open-ended distribution. Astatistical test is not appropriate. 6. An '*****' entry in the margin of error column indicates that the estimate is controlled. A statistical test for sampling variability is not appropriate. 7. An 'N' entry in the estimate and margin of error columns indicates that data for this geographic area cannot be displayed because the number ofsample cases is too small. 8. An '(X)' means that the estimate is not applicable or not available.

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R0802 PERCENT OF WORKERS 16 YEARS AND OVER WHO TRAVELED TO WORK BY CAR, TRUCK, ORVAN--DROVE ALONE - United States -- States; and Puerto RicoUniverse: Workers 16 years and over2016 American Community Survey 1-Year Estimates

Supporting documentation on code lists, subject definitions, data accuracy, and statistical testing can be found on the American Community Surveywebsite in the Data and Documentation section.

Sample size and data quality measures (including coverage rates, allocation rates, and response rates) can be found on the American CommunitySurvey website in the Methodology section.

Tell us what you think. Provide feedback to help make American Community Survey data more useful for you.

Although the American Community Survey (ACS) produces population, demographic and housing unit estimates, it is the Census Bureau's PopulationEstimates Program that produces and disseminates the official estimates of the population for the nation, states, counties, cities and towns andestimates of housing units for states and counties.

To view this table with statistical significance, select With Statistical Significance in the Action menu.A # next to a geography indicates when an estimate is not statistically significant from the estimate for the selected geography.The ## indicates the selected geography.

Rank Geographical Area Percent Margin of ErrorUnited States 76.3 +/-0.1

1 Alabama 86.1 +/-0.52 Mississippi 84.6 +/-0.63 Tennessee 83.5 +/-0.44 Indiana 83.2 +/-0.45 Arkansas 83.1 +/-0.65 Ohio 83.1 +/-0.37 Louisiana 82.9 +/-0.58 Oklahoma 82.6 +/-0.49 South Carolina 82.5 +/-0.610 Michigan 82.4 +/-0.311 Kansas 82.2 +/-0.611 Kentucky 82.2 +/-0.413 Nebraska 82.0 +/-0.714 Missouri 81.7 +/-0.415 West Virginia 81.6 +/-0.916 North Carolina 81.3 +/-0.317 Iowa 81.2 +/-0.618 Delaware 81.0 +/-1.119 Wisconsin 80.7 +/-0.420 Texas 80.5 +/-0.221 Rhode Island 80.3 +/-1.022 North Dakota 80.2 +/-1.023 New Mexico 80.0 +/-0.724 South Dakota 79.9 +/-1.125 New Hampshire 79.7 +/-0.826 Georgia 79.3 +/-0.426 Idaho 79.3 +/-1.026 Maine 79.3 +/-0.9

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Rank Geographical Area Percent Margin of Error29 Florida 79.2 +/-0.330 Nevada 78.8 +/-0.631 Minnesota 77.8 +/-0.431 Wyoming 77.8 +/-1.533 Connecticut 77.7 +/-0.634 Virginia 76.9 +/-0.335 Arizona 76.5 +/-0.636 Pennsylvania 76.1 +/-0.337 Montana 76.0 +/-1.238 Utah 75.8 +/-0.739 Vermont 75.6 +/-1.140 Colorado 75.0 +/-0.541 Maryland 73.8 +/-0.542 California 73.6 +/-0.243 Illinois 73.1 +/-0.344 Oregon 72.4 +/-0.545 Washington 72.1 +/-0.446 New Jersey 70.8 +/-0.447 Massachusetts 70.1 +/-0.448 Alaska 69.0 +/-1.449 Hawaii 66.9 +/-1.050 New York 52.6 +/-0.351 District of Columbia 33.0 +/-1.5

Puerto Rico 82.4 +/-0.6

Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability isrepresented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpretedroughly as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin oferror (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject tononsampling error (for a discussion of nonsampling variability, see Accuracy of the Data). The effect of nonsampling error is not represented in thesetables.

While the 2016 American Community Survey (ACS) data generally reflect the February 2013 Office of Management and Budget (OMB) definitions ofmetropolitan and micropolitan statistical areas; in certain instances the names, codes, and boundaries of the principal cities shown in ACS tables maydiffer from the OMB definitions due to differences in the effective dates of the geographic entities.

Estimates of urban and rural population, housing units, and characteristics reflect boundaries of urban areas defined based on Census 2010 data. Asa result, data for urban and rural areas from the ACS do not necessarily reflect the results of ongoing urbanization.

Source: U.S. Census Bureau, 2016 American Community Survey 1-Year Estimates

Explanation of Symbols:

1. An '**' entry in the margin of error column indicates that either no sample observations or too few sample observations were available tocompute a standard error and thus the margin of error. A statistical test is not appropriate. 2. An '-' entry in the estimate column indicates that either no sample observations or too few sample observations were available to compute anestimate, or a ratio of medians cannot be calculated because one or both of the median estimates falls in the lowest interval or upper interval of anopen-ended distribution. 3. An '-' following a median estimate means the median falls in the lowest interval of an open-ended distribution. 4. An '+' following a median estimate means the median falls in the upper interval of an open-ended distribution. 5. An '***' entry in the margin of error column indicates that the median falls in the lowest interval or upper interval of an open-ended distribution. Astatistical test is not appropriate. 6. An '*****' entry in the margin of error column indicates that the estimate is controlled. A statistical test for sampling variability is not appropriate. 7. An 'N' entry in the estimate and margin of error columns indicates that data for this geographic area cannot be displayed because the number ofsample cases is too small. 8. An '(X)' means that the estimate is not applicable or not available.

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R0803 PERCENT OF WORKERS 16 YEARS AND OVER WHO TRAVELED TO WORK BY CAR, TRUCK, ORVAN--CARPOOLED - United States -- States; and Puerto RicoUniverse: Workers 16 years and over2016 American Community Survey 1-Year Estimates

Supporting documentation on code lists, subject definitions, data accuracy, and statistical testing can be found on the American Community Surveywebsite in the Data and Documentation section.

Sample size and data quality measures (including coverage rates, allocation rates, and response rates) can be found on the American CommunitySurvey website in the Methodology section.

Tell us what you think. Provide feedback to help make American Community Survey data more useful for you.

Although the American Community Survey (ACS) produces population, demographic and housing unit estimates, it is the Census Bureau's PopulationEstimates Program that produces and disseminates the official estimates of the population for the nation, states, counties, cities and towns andestimates of housing units for states and counties.

To view this table with statistical significance, select With Statistical Significance in the Action menu.A # next to a geography indicates when an estimate is not statistically significant from the estimate for the selected geography.The ## indicates the selected geography.

Rank Geographical Area Percent Margin of ErrorUnited States 9.0 +/-0.1

1 Hawaii 13.6 +/-0.82 Alaska 12.2 +/-1.23 Arizona 11.0 +/-0.43 Utah 11.0 +/-0.65 California 10.3 +/-0.26 Arkansas 10.2 +/-0.56 Nevada 10.2 +/-0.58 Texas 10.1 +/-0.29 North Dakota 9.9 +/-0.99 Washington 9.9 +/-0.311 Mississippi 9.8 +/-0.612 Oregon 9.7 +/-0.413 Georgia 9.6 +/-0.313 Idaho 9.6 +/-0.715 Oklahoma 9.5 +/-0.315 Virginia 9.5 +/-0.317 New Mexico 9.4 +/-0.618 Kentucky 9.3 +/-0.418 Louisiana 9.3 +/-0.518 South Carolina 9.3 +/-0.421 Florida 9.2 +/-0.221 Montana 9.2 +/-0.721 North Carolina 9.2 +/-0.221 West Virginia 9.2 +/-0.625 Colorado 9.0 +/-0.425 Delaware 9.0 +/-0.925 Maine 9.0 +/-0.725 Maryland 9.0 +/-0.4

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Rank Geographical Area Percent Margin of Error25 Nebraska 9.0 +/-0.525 Wyoming 9.0 +/-0.931 Kansas 8.9 +/-0.531 Michigan 8.9 +/-0.231 South Dakota 8.9 +/-0.734 Missouri 8.7 +/-0.335 Minnesota 8.6 +/-0.335 New Hampshire 8.6 +/-0.635 Tennessee 8.6 +/-0.338 Indiana 8.5 +/-0.339 New Jersey 8.4 +/-0.239 Pennsylvania 8.4 +/-0.239 Rhode Island 8.4 +/-0.842 Connecticut 8.2 +/-0.442 Iowa 8.2 +/-0.442 Wisconsin 8.2 +/-0.245 Alabama 8.0 +/-0.445 Vermont 8.0 +/-0.847 Illinois 7.7 +/-0.248 Massachusetts 7.6 +/-0.349 Ohio 7.5 +/-0.250 New York 6.5 +/-0.251 District of Columbia 5.1 +/-0.7

Puerto Rico 8.5 +/-0.5

Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability isrepresented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpretedroughly as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin oferror (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject tononsampling error (for a discussion of nonsampling variability, see Accuracy of the Data). The effect of nonsampling error is not represented in thesetables.

While the 2016 American Community Survey (ACS) data generally reflect the February 2013 Office of Management and Budget (OMB) definitions ofmetropolitan and micropolitan statistical areas; in certain instances the names, codes, and boundaries of the principal cities shown in ACS tables maydiffer from the OMB definitions due to differences in the effective dates of the geographic entities.

Estimates of urban and rural population, housing units, and characteristics reflect boundaries of urban areas defined based on Census 2010 data. Asa result, data for urban and rural areas from the ACS do not necessarily reflect the results of ongoing urbanization.

Source: U.S. Census Bureau, 2016 American Community Survey 1-Year Estimates

Explanation of Symbols:

1. An '**' entry in the margin of error column indicates that either no sample observations or too few sample observations were available tocompute a standard error and thus the margin of error. A statistical test is not appropriate. 2. An '-' entry in the estimate column indicates that either no sample observations or too few sample observations were available to compute anestimate, or a ratio of medians cannot be calculated because one or both of the median estimates falls in the lowest interval or upper interval of anopen-ended distribution. 3. An '-' following a median estimate means the median falls in the lowest interval of an open-ended distribution. 4. An '+' following a median estimate means the median falls in the upper interval of an open-ended distribution. 5. An '***' entry in the margin of error column indicates that the median falls in the lowest interval or upper interval of an open-ended distribution. Astatistical test is not appropriate. 6. An '*****' entry in the margin of error column indicates that the estimate is controlled. A statistical test for sampling variability is not appropriate. 7. An 'N' entry in the estimate and margin of error columns indicates that data for this geographic area cannot be displayed because the number ofsample cases is too small. 8. An '(X)' means that the estimate is not applicable or not available.

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R0804 PERCENT OF WORKERS 16 YEARS AND OVER WHO TRAVELED TO WORK BY PUBLICTRANSPORTATION (EXCLUDING TAXICAB) - United States -- States; and Puerto RicoUniverse: Workers 16 years and over2016 American Community Survey 1-Year Estimates

Supporting documentation on code lists, subject definitions, data accuracy, and statistical testing can be found on the American Community Surveywebsite in the Data and Documentation section.

Sample size and data quality measures (including coverage rates, allocation rates, and response rates) can be found on the American CommunitySurvey website in the Methodology section.

Tell us what you think. Provide feedback to help make American Community Survey data more useful for you.

Although the American Community Survey (ACS) produces population, demographic and housing unit estimates, it is the Census Bureau's PopulationEstimates Program that produces and disseminates the official estimates of the population for the nation, states, counties, cities and towns andestimates of housing units for states and counties.

To view this table with statistical significance, select With Statistical Significance in the Action menu.A # next to a geography indicates when an estimate is not statistically significant from the estimate for the selected geography.The ## indicates the selected geography.

Rank Geographical Area Percent Margin of ErrorUnited States 5.1 +/-0.1

1 District of Columbia 36.0 +/-1.42 New York 28.4 +/-0.33 New Jersey 11.8 +/-0.24 Massachusetts 10.1 +/-0.35 Illinois 9.4 +/-0.26 Maryland 8.5 +/-0.37 Hawaii 6.7 +/-0.68 Washington 6.4 +/-0.29 Pennsylvania 5.6 +/-0.210 California 5.1 +/-0.111 Connecticut 4.9 +/-0.312 Oregon 4.4 +/-0.213 Virginia 4.1 +/-0.214 Minnesota 3.6 +/-0.215 Nevada 3.4 +/-0.316 Colorado 2.9 +/-0.217 Delaware 2.7 +/-0.517 Utah 2.7 +/-0.319 Rhode Island 2.4 +/-0.420 Florida 2.1 +/-0.120 Georgia 2.1 +/-0.122 Arizona 1.9 +/-0.123 Wisconsin 1.7 +/-0.124 Ohio 1.6 +/-0.125 Vermont 1.5 +/-0.425 Wyoming 1.5 +/-0.627 Michigan 1.4 +/-0.127 Missouri 1.4 +/-0.1

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Rank Geographical Area Percent Margin of Error27 New Mexico 1.4 +/-0.227 Texas 1.4 +/-0.131 Louisiana 1.3 +/-0.132 Alaska 1.2 +/-0.333 Iowa 1.1 +/-0.233 Kentucky 1.1 +/-0.233 West Virginia 1.1 +/-0.236 Indiana 1.0 +/-0.136 North Carolina 1.0 +/-0.138 New Hampshire 0.9 +/-0.239 Maine 0.7 +/-0.239 Montana 0.7 +/-0.239 Tennessee 0.7 +/-0.142 Idaho 0.6 +/-0.142 Nebraska 0.6 +/-0.142 South Carolina 0.6 +/-0.145 Kansas 0.5 +/-0.145 North Dakota 0.5 +/-0.245 Oklahoma 0.5 +/-0.145 South Dakota 0.5 +/-0.249 Alabama 0.3 +/-0.149 Arkansas 0.3 +/-0.149 Mississippi 0.3 +/-0.1

Puerto Rico 1.8 +/-0.2

Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability isrepresented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpretedroughly as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin oferror (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject tononsampling error (for a discussion of nonsampling variability, see Accuracy of the Data). The effect of nonsampling error is not represented in thesetables.

While the 2016 American Community Survey (ACS) data generally reflect the February 2013 Office of Management and Budget (OMB) definitions ofmetropolitan and micropolitan statistical areas; in certain instances the names, codes, and boundaries of the principal cities shown in ACS tables maydiffer from the OMB definitions due to differences in the effective dates of the geographic entities.

Estimates of urban and rural population, housing units, and characteristics reflect boundaries of urban areas defined based on Census 2010 data. Asa result, data for urban and rural areas from the ACS do not necessarily reflect the results of ongoing urbanization.

Source: U.S. Census Bureau, 2016 American Community Survey 1-Year Estimates

Explanation of Symbols:

1. An '**' entry in the margin of error column indicates that either no sample observations or too few sample observations were available tocompute a standard error and thus the margin of error. A statistical test is not appropriate. 2. An '-' entry in the estimate column indicates that either no sample observations or too few sample observations were available to compute anestimate, or a ratio of medians cannot be calculated because one or both of the median estimates falls in the lowest interval or upper interval of anopen-ended distribution. 3. An '-' following a median estimate means the median falls in the lowest interval of an open-ended distribution. 4. An '+' following a median estimate means the median falls in the upper interval of an open-ended distribution. 5. An '***' entry in the margin of error column indicates that the median falls in the lowest interval or upper interval of an open-ended distribution. Astatistical test is not appropriate. 6. An '*****' entry in the margin of error column indicates that the estimate is controlled. A statistical test for sampling variability is not appropriate. 7. An 'N' entry in the estimate and margin of error columns indicates that data for this geographic area cannot be displayed because the number ofsample cases is too small. 8. An '(X)' means that the estimate is not applicable or not available.

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R0805 PERCENT OF WORKERS 16 YEARS AND OVER WHO WORKED OUTSIDE COUNTY OF RESIDENCE- United States -- States; and Puerto RicoUniverse: Workers 16 years and over2016 American Community Survey 1-Year Estimates

Supporting documentation on code lists, subject definitions, data accuracy, and statistical testing can be found on the American Community Surveywebsite in the Data and Documentation section.

Sample size and data quality measures (including coverage rates, allocation rates, and response rates) can be found on the American CommunitySurvey website in the Methodology section.

Tell us what you think. Provide feedback to help make American Community Survey data more useful for you.

Although the American Community Survey (ACS) produces population, demographic and housing unit estimates, it is the Census Bureau's PopulationEstimates Program that produces and disseminates the official estimates of the population for the nation, states, counties, cities and towns andestimates of housing units for states and counties.

To view this table with statistical significance, select With Statistical Significance in the Action menu.A # next to a geography indicates when an estimate is not statistically significant from the estimate for the selected geography.The ## indicates the selected geography.

Rank Geographical Area Percent Margin of ErrorUnited States 27.6 +/-0.1

1 Virginia 51.5 +/-0.42 New Jersey 46.6 +/-0.43 Maryland 46.0 +/-0.54 Georgia 41.3 +/-0.45 Rhode Island 37.1 +/-1.36 Minnesota 36.5 +/-0.46 Mississippi 36.5 +/-1.08 New York 36.3 +/-0.29 New Hampshire 35.3 +/-1.010 Missouri 34.6 +/-0.511 Massachusetts 34.4 +/-0.412 West Virginia 33.2 +/-0.913 Colorado 33.1 +/-0.414 Kentucky 32.5 +/-0.615 Indiana 32.2 +/-0.516 Michigan 30.6 +/-0.317 Louisiana 30.4 +/-0.618 Ohio 30.1 +/-0.319 Pennsylvania 30.0 +/-0.320 South Carolina 29.9 +/-0.521 North Carolina 29.0 +/-0.422 Tennessee 28.3 +/-0.423 Wisconsin 28.2 +/-0.424 Alabama 27.5 +/-0.625 Connecticut 26.7 +/-0.526 Illinois 26.5 +/-0.327 Arkansas 25.3 +/-0.727 District of Columbia 25.3 +/-1.1

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Rank Geographical Area Percent Margin of Error27 Oklahoma 25.3 +/-0.430 Vermont 24.3 +/-1.131 Iowa 23.9 +/-0.531 Kansas 23.9 +/-0.533 Maine 23.0 +/-0.934 Oregon 22.7 +/-0.534 Texas 22.7 +/-0.236 Nebraska 21.9 +/-0.537 Delaware 21.3 +/-1.038 South Dakota 20.9 +/-0.939 Idaho 20.8 +/-0.740 Washington 19.1 +/-0.341 Florida 18.8 +/-0.242 Utah 18.1 +/-0.543 California 17.3 +/-0.244 North Dakota 15.8 +/-0.945 New Mexico 14.9 +/-0.546 Montana 8.1 +/-0.647 Wyoming 6.9 +/-0.848 Alaska 6.5 +/-0.849 Arizona 5.9 +/-0.350 Nevada 5.3 +/-0.351 Hawaii 0.8 +/-0.2

Puerto Rico 53.0 +/-0.8

Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability isrepresented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpretedroughly as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin oferror (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject tononsampling error (for a discussion of nonsampling variability, see Accuracy of the Data). The effect of nonsampling error is not represented in thesetables.

While the 2016 American Community Survey (ACS) data generally reflect the February 2013 Office of Management and Budget (OMB) definitions ofmetropolitan and micropolitan statistical areas; in certain instances the names, codes, and boundaries of the principal cities shown in ACS tables maydiffer from the OMB definitions due to differences in the effective dates of the geographic entities.

Estimates of urban and rural population, housing units, and characteristics reflect boundaries of urban areas defined based on Census 2010 data. Asa result, data for urban and rural areas from the ACS do not necessarily reflect the results of ongoing urbanization.

Source: U.S. Census Bureau, 2016 American Community Survey 1-Year Estimates

Explanation of Symbols:

1. An '**' entry in the margin of error column indicates that either no sample observations or too few sample observations were available tocompute a standard error and thus the margin of error. A statistical test is not appropriate. 2. An '-' entry in the estimate column indicates that either no sample observations or too few sample observations were available to compute anestimate, or a ratio of medians cannot be calculated because one or both of the median estimates falls in the lowest interval or upper interval of anopen-ended distribution. 3. An '-' following a median estimate means the median falls in the lowest interval of an open-ended distribution. 4. An '+' following a median estimate means the median falls in the upper interval of an open-ended distribution. 5. An '***' entry in the margin of error column indicates that the median falls in the lowest interval or upper interval of an open-ended distribution. Astatistical test is not appropriate. 6. An '*****' entry in the margin of error column indicates that the estimate is controlled. A statistical test for sampling variability is not appropriate. 7. An 'N' entry in the estimate and margin of error columns indicates that data for this geographic area cannot be displayed because the number ofsample cases is too small. 8. An '(X)' means that the estimate is not applicable or not available.

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R1001 PERCENT OF GRANDPARENTS RESPONSIBLE FOR THEIR GRANDCHILDREN - United States --States; and Puerto RicoUniverse: Grandparents living with own grandchildren under 18 years2016 American Community Survey 1-Year Estimates

Supporting documentation on code lists, subject definitions, data accuracy, and statistical testing can be found on the American Community Surveywebsite in the Data and Documentation section.

Sample size and data quality measures (including coverage rates, allocation rates, and response rates) can be found on the American CommunitySurvey website in the Methodology section.

Tell us what you think. Provide feedback to help make American Community Survey data more useful for you.

Although the American Community Survey (ACS) produces population, demographic and housing unit estimates, it is the Census Bureau's PopulationEstimates Program that produces and disseminates the official estimates of the population for the nation, states, counties, cities and towns andestimates of housing units for states and counties.

To view this table with statistical significance, select With Statistical Significance in the Action menu.A # next to a geography indicates when an estimate is not statistically significant from the estimate for the selected geography.The ## indicates the selected geography.

Rank Geographical Area Percent Margin of ErrorUnited States 34.7 +/-0.4

1 Arkansas 55.1 +/-3.22 Kentucky 54.9 +/-3.13 Mississippi 53.1 +/-3.04 West Virginia 52.7 +/-5.25 North Dakota 52.5 +/-10.06 Oklahoma 52.4 +/-2.37 Montana 50.7 +/-6.98 Alabama 50.5 +/-2.58 Louisiana 50.5 +/-2.310 Missouri 49.6 +/-2.611 South Dakota 48.1 +/-7.012 Indiana 47.1 +/-2.313 Tennessee 46.7 +/-2.314 Wyoming 43.7 +/-10.415 Ohio 42.9 +/-1.916 North Carolina 42.8 +/-2.417 South Carolina 42.7 +/-3.018 New Mexico 42.0 +/-4.419 Alaska 41.8 +/-7.620 Arizona 40.3 +/-2.320 Kansas 40.3 +/-3.622 Iowa 39.9 +/-4.123 Georgia 38.8 +/-2.024 Texas 37.4 +/-1.325 Maine 36.7 +/-7.325 Michigan 36.7 +/-1.627 Virginia 36.4 +/-2.128 Nevada 35.2 +/-3.7

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Rank Geographical Area Percent Margin of Error28 New Hampshire 35.2 +/-5.630 Colorado 34.9 +/-2.531 Pennsylvania 34.2 +/-1.532 Wisconsin 33.9 +/-2.933 Rhode Island 33.8 +/-6.934 Idaho 33.7 +/-4.935 Nebraska 33.3 +/-4.836 Washington 33.1 +/-2.237 Delaware 32.7 +/-6.738 Maryland 32.4 +/-2.539 Vermont 32.2 +/-7.840 Illinois 31.7 +/-1.541 Utah 30.4 +/-3.742 Minnesota 30.1 +/-2.443 Florida 29.8 +/-1.544 Oregon 29.4 +/-3.245 Connecticut 27.3 +/-3.845 New York 27.3 +/-1.447 Massachusetts 25.7 +/-2.248 District of Columbia 24.8 +/-8.849 Hawaii 24.0 +/-3.449 New Jersey 24.0 +/-1.951 California 21.6 +/-0.8

Puerto Rico 40.5 +/-3.1

Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability isrepresented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpretedroughly as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin oferror (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject tononsampling error (for a discussion of nonsampling variability, see Accuracy of the Data). The effect of nonsampling error is not represented in thesetables.

While the 2016 American Community Survey (ACS) data generally reflect the February 2013 Office of Management and Budget (OMB) definitions ofmetropolitan and micropolitan statistical areas; in certain instances the names, codes, and boundaries of the principal cities shown in ACS tables maydiffer from the OMB definitions due to differences in the effective dates of the geographic entities.

Estimates of urban and rural population, housing units, and characteristics reflect boundaries of urban areas defined based on Census 2010 data. Asa result, data for urban and rural areas from the ACS do not necessarily reflect the results of ongoing urbanization.

Source: U.S. Census Bureau, 2016 American Community Survey 1-Year Estimates

Explanation of Symbols:

1. An '**' entry in the margin of error column indicates that either no sample observations or too few sample observations were available tocompute a standard error and thus the margin of error. A statistical test is not appropriate. 2. An '-' entry in the estimate column indicates that either no sample observations or too few sample observations were available to compute anestimate, or a ratio of medians cannot be calculated because one or both of the median estimates falls in the lowest interval or upper interval of anopen-ended distribution. 3. An '-' following a median estimate means the median falls in the lowest interval of an open-ended distribution. 4. An '+' following a median estimate means the median falls in the upper interval of an open-ended distribution. 5. An '***' entry in the margin of error column indicates that the median falls in the lowest interval or upper interval of an open-ended distribution. Astatistical test is not appropriate. 6. An '*****' entry in the margin of error column indicates that the estimate is controlled. A statistical test for sampling variability is not appropriate. 7. An 'N' entry in the estimate and margin of error columns indicates that data for this geographic area cannot be displayed because the number ofsample cases is too small. 8. An '(X)' means that the estimate is not applicable or not available.

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R1101 PERCENT OF HOUSEHOLDS THAT ARE MARRIED-COUPLE FAMILIES - United States -- States; andPuerto RicoUniverse: Households2016 American Community Survey 1-Year Estimates

Supporting documentation on code lists, subject definitions, data accuracy, and statistical testing can be found on the American Community Surveywebsite in the Data and Documentation section.

Sample size and data quality measures (including coverage rates, allocation rates, and response rates) can be found on the American CommunitySurvey website in the Methodology section.

Tell us what you think. Provide feedback to help make American Community Survey data more useful for you.

Although the American Community Survey (ACS) produces population, demographic and housing unit estimates, it is the Census Bureau's PopulationEstimates Program that produces and disseminates the official estimates of the population for the nation, states, counties, cities and towns andestimates of housing units for states and counties.

To view this table with statistical significance, select With Statistical Significance in the Action menu.A # next to a geography indicates when an estimate is not statistically significant from the estimate for the selected geography.The ## indicates the selected geography.

Rank Geographical Area Percent Margin of ErrorUnited States 47.9 +/-0.1

1 Utah 61.3 +/-0.82 Idaho 53.8 +/-1.13 Wyoming 52.3 +/-1.64 New Hampshire 52.1 +/-1.05 Hawaii 51.8 +/-1.06 New Jersey 50.8 +/-0.47 Iowa 50.6 +/-0.68 Minnesota 50.3 +/-0.59 Washington 50.2 +/-0.410 Kansas 50.1 +/-0.711 Colorado 49.9 +/-0.511 Montana 49.9 +/-1.111 Texas 49.9 +/-0.311 Virginia 49.9 +/-0.415 California 49.5 +/-0.316 Nebraska 49.4 +/-0.817 South Dakota 49.3 +/-1.118 Alaska 49.2 +/-1.519 Oregon 48.7 +/-0.620 Wisconsin 48.5 +/-0.521 Indiana 48.4 +/-0.422 Oklahoma 48.3 +/-0.523 Maine 48.2 +/-1.024 Arkansas 48.1 +/-0.824 West Virginia 48.1 +/-0.826 Missouri 48.0 +/-0.526 North Carolina 48.0 +/-0.428 Connecticut 47.8 +/-0.5

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Rank Geographical Area Percent Margin of Error28 Tennessee 47.8 +/-0.530 Delaware 47.7 +/-1.330 North Dakota 47.7 +/-1.232 Arizona 47.4 +/-0.532 Georgia 47.4 +/-0.432 Maryland 47.4 +/-0.532 Pennsylvania 47.4 +/-0.336 Kentucky 47.3 +/-0.637 Vermont 47.2 +/-1.438 Illinois 47.0 +/-0.339 Michigan 46.8 +/-0.340 Alabama 46.7 +/-0.541 Florida 46.4 +/-0.341 South Carolina 46.4 +/-0.543 Massachusetts 46.3 +/-0.544 Ohio 45.9 +/-0.345 Mississippi 44.9 +/-0.846 Nevada 44.4 +/-0.747 New Mexico 44.1 +/-0.948 New York 43.8 +/-0.249 Louisiana 42.7 +/-0.650 Rhode Island 42.3 +/-1.451 District of Columbia 25.3 +/-1.3

Puerto Rico 38.4 +/-0.7

Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability isrepresented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpretedroughly as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin oferror (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject tononsampling error (for a discussion of nonsampling variability, see Accuracy of the Data). The effect of nonsampling error is not represented in thesetables.

While the 2016 American Community Survey (ACS) data generally reflect the February 2013 Office of Management and Budget (OMB) definitions ofmetropolitan and micropolitan statistical areas; in certain instances the names, codes, and boundaries of the principal cities shown in ACS tables maydiffer from the OMB definitions due to differences in the effective dates of the geographic entities.

Estimates of urban and rural population, housing units, and characteristics reflect boundaries of urban areas defined based on Census 2010 data. Asa result, data for urban and rural areas from the ACS do not necessarily reflect the results of ongoing urbanization.

Source: U.S. Census Bureau, 2016 American Community Survey 1-Year Estimates

Explanation of Symbols:

1. An '**' entry in the margin of error column indicates that either no sample observations or too few sample observations were available tocompute a standard error and thus the margin of error. A statistical test is not appropriate. 2. An '-' entry in the estimate column indicates that either no sample observations or too few sample observations were available to compute anestimate, or a ratio of medians cannot be calculated because one or both of the median estimates falls in the lowest interval or upper interval of anopen-ended distribution. 3. An '-' following a median estimate means the median falls in the lowest interval of an open-ended distribution. 4. An '+' following a median estimate means the median falls in the upper interval of an open-ended distribution. 5. An '***' entry in the margin of error column indicates that the median falls in the lowest interval or upper interval of an open-ended distribution. Astatistical test is not appropriate. 6. An '*****' entry in the margin of error column indicates that the estimate is controlled. A statistical test for sampling variability is not appropriate. 7. An 'N' entry in the estimate and margin of error columns indicates that data for this geographic area cannot be displayed because the number ofsample cases is too small. 8. An '(X)' means that the estimate is not applicable or not available.

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R1102 PERCENT OF HOUSEHOLDS THAT ARE MARRIED-COUPLE FAMILIES WITH OWN CHILDRENUNDER 18 YEARS - United States -- States; and Puerto RicoUniverse: Households2016 American Community Survey 1-Year Estimates

Supporting documentation on code lists, subject definitions, data accuracy, and statistical testing can be found on the American Community Surveywebsite in the Data and Documentation section.

Sample size and data quality measures (including coverage rates, allocation rates, and response rates) can be found on the American CommunitySurvey website in the Methodology section.

Tell us what you think. Provide feedback to help make American Community Survey data more useful for you.

Although the American Community Survey (ACS) produces population, demographic and housing unit estimates, it is the Census Bureau's PopulationEstimates Program that produces and disseminates the official estimates of the population for the nation, states, counties, cities and towns andestimates of housing units for states and counties.

To view this table with statistical significance, select With Statistical Significance in the Action menu.A # next to a geography indicates when an estimate is not statistically significant from the estimate for the selected geography.The ## indicates the selected geography.

Rank Geographical Area Household Margin of ErrorUnited States 18.7 +/-0.1

1 Utah 30.4 +/-0.62 Texas 22.2 +/-0.23 California 21.5 +/-0.24 New Jersey 21.4 +/-0.35 Alaska 21.3 +/-1.26 Idaho 21.0 +/-0.87 Colorado 20.7 +/-0.48 Nebraska 20.6 +/-0.59 Minnesota 20.3 +/-0.310 Washington 20.0 +/-0.311 Virginia 19.9 +/-0.312 Kansas 19.8 +/-0.513 Iowa 19.5 +/-0.514 Georgia 19.4 +/-0.315 South Dakota 19.3 +/-0.816 Maryland 19.1 +/-0.417 Illinois 18.9 +/-0.217 North Dakota 18.9 +/-1.019 Hawaii 18.8 +/-0.819 Oklahoma 18.8 +/-0.421 Wyoming 18.5 +/-1.022 Indiana 18.3 +/-0.322 Massachusetts 18.3 +/-0.424 Connecticut 18.2 +/-0.424 North Carolina 18.2 +/-0.326 Montana 18.0 +/-0.927 Missouri 17.8 +/-0.328 New Hampshire 17.7 +/-0.7

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Rank Geographical Area Household Margin of Error28 Oregon 17.7 +/-0.528 Wisconsin 17.7 +/-0.331 Arizona 17.5 +/-0.331 Arkansas 17.5 +/-0.533 Kentucky 17.4 +/-0.433 New York 17.4 +/-0.235 Tennessee 17.1 +/-0.436 Nevada 17.0 +/-0.637 Michigan 16.8 +/-0.237 Pennsylvania 16.8 +/-0.239 Ohio 16.6 +/-0.340 Alabama 16.4 +/-0.441 Mississippi 16.1 +/-0.642 Louisiana 15.8 +/-0.442 South Carolina 15.8 +/-0.444 New Mexico 15.7 +/-0.745 Delaware 15.6 +/-0.946 West Virginia 15.4 +/-0.647 Vermont 15.3 +/-0.848 Florida 15.0 +/-0.248 Rhode Island 15.0 +/-0.850 Maine 14.8 +/-0.651 District of Columbia 9.7 +/-0.9

Puerto Rico 10.8 +/-0.4

Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability isrepresented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpretedroughly as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin oferror (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject tononsampling error (for a discussion of nonsampling variability, see Accuracy of the Data). The effect of nonsampling error is not represented in thesetables.

While the 2016 American Community Survey (ACS) data generally reflect the February 2013 Office of Management and Budget (OMB) definitions ofmetropolitan and micropolitan statistical areas; in certain instances the names, codes, and boundaries of the principal cities shown in ACS tables maydiffer from the OMB definitions due to differences in the effective dates of the geographic entities.

Estimates of urban and rural population, housing units, and characteristics reflect boundaries of urban areas defined based on Census 2010 data. Asa result, data for urban and rural areas from the ACS do not necessarily reflect the results of ongoing urbanization.

Source: U.S. Census Bureau, 2016 American Community Survey 1-Year Estimates

Explanation of Symbols:

1. An '**' entry in the margin of error column indicates that either no sample observations or too few sample observations were available tocompute a standard error and thus the margin of error. A statistical test is not appropriate. 2. An '-' entry in the estimate column indicates that either no sample observations or too few sample observations were available to compute anestimate, or a ratio of medians cannot be calculated because one or both of the median estimates falls in the lowest interval or upper interval of anopen-ended distribution. 3. An '-' following a median estimate means the median falls in the lowest interval of an open-ended distribution. 4. An '+' following a median estimate means the median falls in the upper interval of an open-ended distribution. 5. An '***' entry in the margin of error column indicates that the median falls in the lowest interval or upper interval of an open-ended distribution. Astatistical test is not appropriate. 6. An '*****' entry in the margin of error column indicates that the estimate is controlled. A statistical test for sampling variability is not appropriate. 7. An 'N' entry in the estimate and margin of error columns indicates that data for this geographic area cannot be displayed because the number ofsample cases is too small. 8. An '(X)' means that the estimate is not applicable or not available.

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R1103 PERCENT OF HOUSEHOLDS WITH ONE OR MORE PEOPLE UNDER 18 YEARS - United States --States; and Puerto RicoUniverse: Households2016 American Community Survey 1-Year Estimates

Supporting documentation on code lists, subject definitions, data accuracy, and statistical testing can be found on the American Community Surveywebsite in the Data and Documentation section.

Sample size and data quality measures (including coverage rates, allocation rates, and response rates) can be found on the American CommunitySurvey website in the Methodology section.

Tell us what you think. Provide feedback to help make American Community Survey data more useful for you.

Although the American Community Survey (ACS) produces population, demographic and housing unit estimates, it is the Census Bureau's PopulationEstimates Program that produces and disseminates the official estimates of the population for the nation, states, counties, cities and towns andestimates of housing units for states and counties.

To view this table with statistical significance, select With Statistical Significance in the Action menu.A # next to a geography indicates when an estimate is not statistically significant from the estimate for the selected geography.The ## indicates the selected geography.

Rank Geographical Area Percent Margin of ErrorUnited States 31.1 +/-0.1

1 Utah 41.5 +/-0.72 Texas 36.9 +/-0.23 California 34.6 +/-0.24 Alaska 34.5 +/-1.45 Georgia 34.0 +/-0.46 New Jersey 32.6 +/-0.47 Mississippi 32.4 +/-0.78 Maryland 32.3 +/-0.49 Hawaii 32.0 +/-1.010 Oklahoma 31.9 +/-0.411 Virginia 31.7 +/-0.312 Idaho 31.5 +/-0.912 Nebraska 31.5 +/-0.514 Louisiana 31.4 +/-0.515 Arkansas 31.1 +/-0.616 Colorado 31.0 +/-0.416 North Carolina 31.0 +/-0.318 Indiana 30.9 +/-0.418 Kentucky 30.9 +/-0.520 Arizona 30.8 +/-0.420 Illinois 30.8 +/-0.322 Kansas 30.7 +/-0.623 Nevada 30.3 +/-0.724 Minnesota 30.2 +/-0.325 Iowa 30.1 +/-0.525 Tennessee 30.1 +/-0.425 Washington 30.1 +/-0.428 Missouri 30.0 +/-0.4

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Rank Geographical Area Percent Margin of Error29 New Mexico 29.8 +/-0.729 South Dakota 29.8 +/-0.831 Alabama 29.7 +/-0.532 New York 29.4 +/-0.232 Ohio 29.4 +/-0.334 Massachusetts 29.2 +/-0.435 South Carolina 29.1 +/-0.536 Connecticut 29.0 +/-0.536 Wyoming 29.0 +/-1.238 Michigan 28.4 +/-0.339 Oregon 28.3 +/-0.540 Wisconsin 28.2 +/-0.341 Delaware 27.8 +/-1.141 New Hampshire 27.8 +/-0.941 North Dakota 27.8 +/-1.241 Pennsylvania 27.8 +/-0.345 West Virginia 27.7 +/-0.746 Rhode Island 27.4 +/-1.047 Florida 26.9 +/-0.248 Montana 26.7 +/-1.049 Vermont 25.6 +/-0.950 Maine 24.6 +/-0.751 District of Columbia 21.4 +/-1.1

Puerto Rico 30.0 +/-0.6

Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability isrepresented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpretedroughly as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin oferror (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject tononsampling error (for a discussion of nonsampling variability, see Accuracy of the Data). The effect of nonsampling error is not represented in thesetables.

While the 2016 American Community Survey (ACS) data generally reflect the February 2013 Office of Management and Budget (OMB) definitions ofmetropolitan and micropolitan statistical areas; in certain instances the names, codes, and boundaries of the principal cities shown in ACS tables maydiffer from the OMB definitions due to differences in the effective dates of the geographic entities.

Estimates of urban and rural population, housing units, and characteristics reflect boundaries of urban areas defined based on Census 2010 data. Asa result, data for urban and rural areas from the ACS do not necessarily reflect the results of ongoing urbanization.

Source: U.S. Census Bureau, 2016 American Community Survey 1-Year Estimates

Explanation of Symbols:

1. An '**' entry in the margin of error column indicates that either no sample observations or too few sample observations were available tocompute a standard error and thus the margin of error. A statistical test is not appropriate. 2. An '-' entry in the estimate column indicates that either no sample observations or too few sample observations were available to compute anestimate, or a ratio of medians cannot be calculated because one or both of the median estimates falls in the lowest interval or upper interval of anopen-ended distribution. 3. An '-' following a median estimate means the median falls in the lowest interval of an open-ended distribution. 4. An '+' following a median estimate means the median falls in the upper interval of an open-ended distribution. 5. An '***' entry in the margin of error column indicates that the median falls in the lowest interval or upper interval of an open-ended distribution. Astatistical test is not appropriate. 6. An '*****' entry in the margin of error column indicates that the estimate is controlled. A statistical test for sampling variability is not appropriate. 7. An 'N' entry in the estimate and margin of error columns indicates that data for this geographic area cannot be displayed because the number ofsample cases is too small. 8. An '(X)' means that the estimate is not applicable or not available.

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R1104 PERCENT OF HOUSEHOLDS WITH ONE OR MORE PEOPLE 65 YEARS AND OVER - United States --States; and Puerto RicoUniverse: Households2016 American Community Survey 1-Year Estimates

Supporting documentation on code lists, subject definitions, data accuracy, and statistical testing can be found on the American Community Surveywebsite in the Data and Documentation section.

Sample size and data quality measures (including coverage rates, allocation rates, and response rates) can be found on the American CommunitySurvey website in the Methodology section.

Tell us what you think. Provide feedback to help make American Community Survey data more useful for you.

Although the American Community Survey (ACS) produces population, demographic and housing unit estimates, it is the Census Bureau's PopulationEstimates Program that produces and disseminates the official estimates of the population for the nation, states, counties, cities and towns andestimates of housing units for states and counties.

To view this table with statistical significance, select With Statistical Significance in the Action menu.A # next to a geography indicates when an estimate is not statistically significant from the estimate for the selected geography.The ## indicates the selected geography.

Rank Geographical Area Percent Margin of ErrorUnited States 28.8 +/-0.1

1 Florida 35.9 +/-0.12 Hawaii 35.4 +/-0.63 West Virginia 33.4 +/-0.54 Maine 32.6 +/-0.55 Arizona 32.0 +/-0.25 Delaware 32.0 +/-0.57 Vermont 31.8 +/-0.68 New Mexico 31.6 +/-0.49 Pennsylvania 31.2 +/-0.110 Montana 31.1 +/-0.611 Oregon 30.7 +/-0.312 South Carolina 30.5 +/-0.213 New Jersey 30.0 +/-0.213 New York 30.0 +/-0.115 New Hampshire 29.8 +/-0.515 Rhode Island 29.8 +/-0.517 Arkansas 29.7 +/-0.318 Connecticut 29.6 +/-0.318 Massachusetts 29.6 +/-0.220 Alabama 29.4 +/-0.321 Michigan 29.3 +/-0.121 Mississippi 29.3 +/-0.423 Nevada 28.9 +/-0.324 Idaho 28.8 +/-0.425 California 28.6 +/-0.125 Ohio 28.6 +/-0.125 Tennessee 28.6 +/-0.228 Missouri 28.5 +/-0.2

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Rank Geographical Area Percent Margin of Error29 Iowa 28.3 +/-0.329 Kentucky 28.3 +/-0.231 Maryland 28.2 +/-0.232 North Carolina 28.1 +/-0.233 Oklahoma 27.9 +/-0.234 South Dakota 27.8 +/-0.735 Virginia 27.7 +/-0.235 Wisconsin 27.7 +/-0.237 Louisiana 27.6 +/-0.238 Illinois 27.5 +/-0.138 Indiana 27.5 +/-0.238 Washington 27.5 +/-0.238 Wyoming 27.5 +/-0.742 Kansas 27.3 +/-0.343 Minnesota 26.7 +/-0.244 Nebraska 26.5 +/-0.345 Georgia 25.8 +/-0.246 Colorado 24.9 +/-0.247 Texas 24.4 +/-0.148 North Dakota 24.1 +/-0.549 Utah 23.0 +/-0.350 Alaska 21.5 +/-0.651 District of Columbia 21.3 +/-0.5

Puerto Rico 38.1 +/-0.4

Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability isrepresented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpretedroughly as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin oferror (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject tononsampling error (for a discussion of nonsampling variability, see Accuracy of the Data). The effect of nonsampling error is not represented in thesetables.

While the 2016 American Community Survey (ACS) data generally reflect the February 2013 Office of Management and Budget (OMB) definitions ofmetropolitan and micropolitan statistical areas; in certain instances the names, codes, and boundaries of the principal cities shown in ACS tables maydiffer from the OMB definitions due to differences in the effective dates of the geographic entities.

Estimates of urban and rural population, housing units, and characteristics reflect boundaries of urban areas defined based on Census 2010 data. Asa result, data for urban and rural areas from the ACS do not necessarily reflect the results of ongoing urbanization.

Source: U.S. Census Bureau, 2016 American Community Survey 1-Year Estimates

Explanation of Symbols:

1. An '**' entry in the margin of error column indicates that either no sample observations or too few sample observations were available tocompute a standard error and thus the margin of error. A statistical test is not appropriate. 2. An '-' entry in the estimate column indicates that either no sample observations or too few sample observations were available to compute anestimate, or a ratio of medians cannot be calculated because one or both of the median estimates falls in the lowest interval or upper interval of anopen-ended distribution. 3. An '-' following a median estimate means the median falls in the lowest interval of an open-ended distribution. 4. An '+' following a median estimate means the median falls in the upper interval of an open-ended distribution. 5. An '***' entry in the margin of error column indicates that the median falls in the lowest interval or upper interval of an open-ended distribution. Astatistical test is not appropriate. 6. An '*****' entry in the margin of error column indicates that the estimate is controlled. A statistical test for sampling variability is not appropriate. 7. An 'N' entry in the estimate and margin of error columns indicates that data for this geographic area cannot be displayed because the number ofsample cases is too small. 8. An '(X)' means that the estimate is not applicable or not available.

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R1105 AVERAGE HOUSEHOLD SIZE - United States -- States; and Puerto RicoUniverse: Households2016 American Community Survey 1-Year Estimates

Supporting documentation on code lists, subject definitions, data accuracy, and statistical testing can be found on the American Community Surveywebsite in the Data and Documentation section.

Sample size and data quality measures (including coverage rates, allocation rates, and response rates) can be found on the American CommunitySurvey website in the Methodology section.

Tell us what you think. Provide feedback to help make American Community Survey data more useful for you.

Although the American Community Survey (ACS) produces population, demographic and housing unit estimates, it is the Census Bureau's PopulationEstimates Program that produces and disseminates the official estimates of the population for the nation, states, counties, cities and towns andestimates of housing units for states and counties.

To view this table with statistical significance, select With Statistical Significance in the Action menu.A # next to a geography indicates when an estimate is not statistically significant from the estimate for the selected geography.The ## indicates the selected geography.

Rank Geographical Area Person Margin of ErrorUnited States 2.65 +/-0.01

1 Utah 3.19 +/-0.022 Hawaii 3.04 +/-0.033 California 2.97 +/-0.014 Alaska 2.87 +/-0.035 Texas 2.86 +/-0.016 Nevada 2.75 +/-0.027 New Jersey 2.74 +/-0.018 Georgia 2.73 +/-0.019 Idaho 2.71 +/-0.0210 Arizona 2.69 +/-0.0110 New Mexico 2.69 +/-0.0212 Maryland 2.68 +/-0.0113 Florida 2.66 +/-0.0113 New York 2.66 +/-0.0115 Louisiana 2.65 +/-0.0115 Mississippi 2.65 +/-0.0217 Delaware 2.64 +/-0.0318 Virginia 2.62 +/-0.0119 Oklahoma 2.60 +/-0.0120 Illinois 2.59 +/-0.0121 Washington 2.58 +/-0.0122 Colorado 2.57 +/-0.0122 South Carolina 2.57 +/-0.0124 Alabama 2.56 +/-0.0225 Connecticut 2.55 +/-0.0125 Kansas 2.55 +/-0.0225 North Carolina 2.55 +/-0.0125 Oregon 2.55 +/-0.0125 Wyoming 2.55 +/-0.05

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Rank Geographical Area Person Margin of Error30 Arkansas 2.54 +/-0.0230 Indiana 2.54 +/-0.0130 Massachusetts 2.54 +/-0.0130 Tennessee 2.54 +/-0.0134 Kentucky 2.51 +/-0.0134 Minnesota 2.51 +/-0.0136 Michigan 2.50 +/-0.0136 Pennsylvania 2.50 +/-0.0138 Missouri 2.49 +/-0.0138 South Dakota 2.49 +/-0.0340 Nebraska 2.48 +/-0.0140 New Hampshire 2.48 +/-0.0240 Rhode Island 2.48 +/-0.0343 West Virginia 2.47 +/-0.0244 Maine 2.44 +/-0.0344 Montana 2.44 +/-0.0344 Ohio 2.44 +/-0.0147 Iowa 2.43 +/-0.0148 Wisconsin 2.42 +/-0.0149 Vermont 2.35 +/-0.0350 North Dakota 2.32 +/-0.0251 District of Columbia 2.28 +/-0.03

Puerto Rico 2.79 +/-0.02

Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability isrepresented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpretedroughly as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin oferror (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject tononsampling error (for a discussion of nonsampling variability, see Accuracy of the Data). The effect of nonsampling error is not represented in thesetables.

While the 2016 American Community Survey (ACS) data generally reflect the February 2013 Office of Management and Budget (OMB) definitions ofmetropolitan and micropolitan statistical areas; in certain instances the names, codes, and boundaries of the principal cities shown in ACS tables maydiffer from the OMB definitions due to differences in the effective dates of the geographic entities.

Estimates of urban and rural population, housing units, and characteristics reflect boundaries of urban areas defined based on Census 2010 data. Asa result, data for urban and rural areas from the ACS do not necessarily reflect the results of ongoing urbanization.

Source: U.S. Census Bureau, 2016 American Community Survey 1-Year Estimates

Explanation of Symbols:

1. An '**' entry in the margin of error column indicates that either no sample observations or too few sample observations were available tocompute a standard error and thus the margin of error. A statistical test is not appropriate. 2. An '-' entry in the estimate column indicates that either no sample observations or too few sample observations were available to compute anestimate, or a ratio of medians cannot be calculated because one or both of the median estimates falls in the lowest interval or upper interval of anopen-ended distribution. 3. An '-' following a median estimate means the median falls in the lowest interval of an open-ended distribution. 4. An '+' following a median estimate means the median falls in the upper interval of an open-ended distribution. 5. An '***' entry in the margin of error column indicates that the median falls in the lowest interval or upper interval of an open-ended distribution. Astatistical test is not appropriate. 6. An '*****' entry in the margin of error column indicates that the estimate is controlled. A statistical test for sampling variability is not appropriate. 7. An 'N' entry in the estimate and margin of error columns indicates that data for this geographic area cannot be displayed because the number ofsample cases is too small. 8. An '(X)' means that the estimate is not applicable or not available.

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R1106 PERCENT OF HOUSEHOLDS THAT ARE MULTIGENERATIONAL - United States -- States; and PuertoRicoUniverse: Households2016 American Community Survey 1-Year Estimates

Supporting documentation on code lists, subject definitions, data accuracy, and statistical testing can be found on the American Community Surveywebsite in the Data and Documentation section.

Sample size and data quality measures (including coverage rates, allocation rates, and response rates) can be found on the American CommunitySurvey website in the Methodology section.

Tell us what you think. Provide feedback to help make American Community Survey data more useful for you.

Although the American Community Survey (ACS) produces population, demographic and housing unit estimates, it is the Census Bureau's PopulationEstimates Program that produces and disseminates the official estimates of the population for the nation, states, counties, cities and towns andestimates of housing units for states and counties.

To view this table with statistical significance, select With Statistical Significance in the Action menu.A # next to a geography indicates when an estimate is not statistically significant from the estimate for the selected geography.The ## indicates the selected geography.

Rank Geographical Area Percent Margin of ErrorUnited States 3.9 +/-0.1

1 Hawaii 8.0 +/-0.62 California 5.9 +/-0.13 Texas 4.9 +/-0.14 Mississippi 4.6 +/-0.34 New York 4.6 +/-0.16 Arizona 4.5 +/-0.26 Maryland 4.5 +/-0.28 Georgia 4.4 +/-0.29 New Jersey 4.3 +/-0.210 Florida 4.0 +/-0.110 Nevada 4.0 +/-0.310 New Mexico 4.0 +/-0.313 Virginia 3.9 +/-0.214 Louisiana 3.8 +/-0.315 Alabama 3.7 +/-0.215 Delaware 3.7 +/-0.515 South Carolina 3.7 +/-0.215 Utah 3.7 +/-0.319 Illinois 3.6 +/-0.119 Massachusetts 3.6 +/-0.221 Alaska 3.5 +/-0.521 Tennessee 3.5 +/-0.223 Arkansas 3.4 +/-0.224 Connecticut 3.3 +/-0.224 Rhode Island 3.3 +/-0.426 North Carolina 3.2 +/-0.126 Pennsylvania 3.2 +/-0.126 West Virginia 3.2 +/-0.3

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Rank Geographical Area Percent Margin of Error29 Indiana 3.1 +/-0.229 Oklahoma 3.1 +/-0.231 Kentucky 3.0 +/-0.231 Michigan 3.0 +/-0.133 Colorado 2.9 +/-0.233 Oregon 2.9 +/-0.233 Washington 2.9 +/-0.236 Missouri 2.8 +/-0.136 New Hampshire 2.8 +/-0.336 Ohio 2.8 +/-0.139 District of Columbia 2.7 +/-0.440 Idaho 2.6 +/-0.441 Kansas 2.4 +/-0.241 Wyoming 2.4 +/-0.543 Nebraska 2.2 +/-0.244 Maine 2.0 +/-0.344 Minnesota 2.0 +/-0.144 Vermont 2.0 +/-0.344 Wisconsin 2.0 +/-0.148 Iowa 1.9 +/-0.249 Montana 1.8 +/-0.350 South Dakota 1.7 +/-0.351 North Dakota 1.2 +/-0.3

Puerto Rico 5.8 +/-0.3

Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability isrepresented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpretedroughly as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin oferror (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject tononsampling error (for a discussion of nonsampling variability, see Accuracy of the Data). The effect of nonsampling error is not represented in thesetables.

While the 2016 American Community Survey (ACS) data generally reflect the February 2013 Office of Management and Budget (OMB) definitions ofmetropolitan and micropolitan statistical areas; in certain instances the names, codes, and boundaries of the principal cities shown in ACS tables maydiffer from the OMB definitions due to differences in the effective dates of the geographic entities.

Estimates of urban and rural population, housing units, and characteristics reflect boundaries of urban areas defined based on Census 2010 data. Asa result, data for urban and rural areas from the ACS do not necessarily reflect the results of ongoing urbanization.

Source: U.S. Census Bureau, 2016 American Community Survey 1-Year Estimates

Explanation of Symbols:

1. An '**' entry in the margin of error column indicates that either no sample observations or too few sample observations were available tocompute a standard error and thus the margin of error. A statistical test is not appropriate. 2. An '-' entry in the estimate column indicates that either no sample observations or too few sample observations were available to compute anestimate, or a ratio of medians cannot be calculated because one or both of the median estimates falls in the lowest interval or upper interval of anopen-ended distribution. 3. An '-' following a median estimate means the median falls in the lowest interval of an open-ended distribution. 4. An '+' following a median estimate means the median falls in the upper interval of an open-ended distribution. 5. An '***' entry in the margin of error column indicates that the median falls in the lowest interval or upper interval of an open-ended distribution. Astatistical test is not appropriate. 6. An '*****' entry in the margin of error column indicates that the estimate is controlled. A statistical test for sampling variability is not appropriate. 7. An 'N' entry in the estimate and margin of error columns indicates that data for this geographic area cannot be displayed because the number ofsample cases is too small. 8. An '(X)' means that the estimate is not applicable or not available.

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R1201 PERCENT OF MEN 15 YEARS AND OVER WHO WERE NEVER MARRIED - United States -- States;and Puerto RicoUniverse: Males 15 years and over2016 American Community Survey 1-Year Estimates

Supporting documentation on code lists, subject definitions, data accuracy, and statistical testing can be found on the American Community Surveywebsite in the Data and Documentation section.

Sample size and data quality measures (including coverage rates, allocation rates, and response rates) can be found on the American CommunitySurvey website in the Methodology section.

Tell us what you think. Provide feedback to help make American Community Survey data more useful for you.

Although the American Community Survey (ACS) produces population, demographic and housing unit estimates, it is the Census Bureau's PopulationEstimates Program that produces and disseminates the official estimates of the population for the nation, states, counties, cities and towns andestimates of housing units for states and counties.

To view this table with statistical significance, select With Statistical Significance in the Action menu.A # next to a geography indicates when an estimate is not statistically significant from the estimate for the selected geography.The ## indicates the selected geography.

Rank Geographical Area Percent Margin of ErrorUnited States 36.9 +/-0.1

1 District of Columbia 57.3 +/-1.42 New York 41.4 +/-0.33 Alaska 40.7 +/-1.24 California 40.6 +/-0.25 Massachusetts 40.3 +/-0.46 Rhode Island 40.1 +/-1.27 Louisiana 40.0 +/-0.58 Connecticut 38.7 +/-0.49 Maryland 38.5 +/-0.410 Illinois 38.4 +/-0.311 Hawaii 38.3 +/-1.012 Nevada 38.0 +/-0.612 New Jersey 38.0 +/-0.312 New Mexico 38.0 +/-0.815 Delaware 37.4 +/-1.216 Pennsylvania 37.3 +/-0.317 Arizona 37.1 +/-0.418 Georgia 36.9 +/-0.418 Mississippi 36.9 +/-0.820 Michigan 36.5 +/-0.321 North Dakota 36.3 +/-1.321 Texas 36.3 +/-0.223 Colorado 35.7 +/-0.423 Minnesota 35.7 +/-0.423 Ohio 35.7 +/-0.323 Wisconsin 35.7 +/-0.427 South Carolina 35.6 +/-0.527 South Dakota 35.6 +/-1.0

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Rank Geographical Area Percent Margin of Error27 Virginia 35.6 +/-0.430 Florida 35.2 +/-0.231 Washington 35.1 +/-0.432 North Carolina 34.8 +/-0.432 Vermont 34.8 +/-1.034 Indiana 34.7 +/-0.435 Oregon 34.2 +/-0.536 Alabama 34.1 +/-0.536 Missouri 34.1 +/-0.438 Utah 34.0 +/-0.639 Nebraska 33.9 +/-0.740 Kansas 33.8 +/-0.641 Iowa 33.4 +/-0.641 Tennessee 33.4 +/-0.343 Montana 33.3 +/-0.944 Kentucky 33.1 +/-0.545 New Hampshire 33.0 +/-0.946 Oklahoma 32.8 +/-0.447 Maine 32.6 +/-0.948 West Virginia 32.3 +/-0.949 Arkansas 31.4 +/-0.750 Idaho 30.8 +/-0.951 Wyoming 30.2 +/-1.4

Puerto Rico 43.6 +/-0.6

Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability isrepresented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpretedroughly as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin oferror (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject tononsampling error (for a discussion of nonsampling variability, see Accuracy of the Data). The effect of nonsampling error is not represented in thesetables.

While the 2016 American Community Survey (ACS) data generally reflect the February 2013 Office of Management and Budget (OMB) definitions ofmetropolitan and micropolitan statistical areas; in certain instances the names, codes, and boundaries of the principal cities shown in ACS tables maydiffer from the OMB definitions due to differences in the effective dates of the geographic entities.

Estimates of urban and rural population, housing units, and characteristics reflect boundaries of urban areas defined based on Census 2010 data. Asa result, data for urban and rural areas from the ACS do not necessarily reflect the results of ongoing urbanization.

Source: U.S. Census Bureau, 2016 American Community Survey 1-Year Estimates

Explanation of Symbols:

1. An '**' entry in the margin of error column indicates that either no sample observations or too few sample observations were available tocompute a standard error and thus the margin of error. A statistical test is not appropriate. 2. An '-' entry in the estimate column indicates that either no sample observations or too few sample observations were available to compute anestimate, or a ratio of medians cannot be calculated because one or both of the median estimates falls in the lowest interval or upper interval of anopen-ended distribution. 3. An '-' following a median estimate means the median falls in the lowest interval of an open-ended distribution. 4. An '+' following a median estimate means the median falls in the upper interval of an open-ended distribution. 5. An '***' entry in the margin of error column indicates that the median falls in the lowest interval or upper interval of an open-ended distribution. Astatistical test is not appropriate. 6. An '*****' entry in the margin of error column indicates that the estimate is controlled. A statistical test for sampling variability is not appropriate. 7. An 'N' entry in the estimate and margin of error columns indicates that data for this geographic area cannot be displayed because the number ofsample cases is too small. 8. An '(X)' means that the estimate is not applicable or not available.

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R1202 PERCENT OF WOMEN 15 YEARS AND OVER WHO WERE NEVER MARRIED - United States -- States;and Puerto RicoUniverse: Females 15 years and over2016 American Community Survey 1-Year Estimates

Supporting documentation on code lists, subject definitions, data accuracy, and statistical testing can be found on the American Community Surveywebsite in the Data and Documentation section.

Sample size and data quality measures (including coverage rates, allocation rates, and response rates) can be found on the American CommunitySurvey website in the Methodology section.

Tell us what you think. Provide feedback to help make American Community Survey data more useful for you.

Although the American Community Survey (ACS) produces population, demographic and housing unit estimates, it is the Census Bureau's PopulationEstimates Program that produces and disseminates the official estimates of the population for the nation, states, counties, cities and towns andestimates of housing units for states and counties.

To view this table with statistical significance, select With Statistical Significance in the Action menu.A # next to a geography indicates when an estimate is not statistically significant from the estimate for the selected geography.The ## indicates the selected geography.

Rank Geographical Area Percent Margin of ErrorUnited States 30.6 +/-0.1

1 District of Columbia 56.0 +/-1.52 New York 36.4 +/-0.23 Massachusetts 34.8 +/-0.34 Rhode Island 34.5 +/-1.05 California 33.6 +/-0.26 Maryland 33.3 +/-0.47 Louisiana 33.1 +/-0.58 Illinois 32.7 +/-0.39 Connecticut 32.0 +/-0.59 New Jersey 32.0 +/-0.311 Mississippi 31.7 +/-0.712 Delaware 31.6 +/-1.112 New Mexico 31.6 +/-0.714 Georgia 31.5 +/-0.315 Pennsylvania 31.3 +/-0.216 Alaska 30.9 +/-1.117 Michigan 30.4 +/-0.318 Texas 30.1 +/-0.219 South Carolina 30.0 +/-0.520 Nevada 29.9 +/-0.621 Arizona 29.7 +/-0.422 Virginia 29.6 +/-0.323 Ohio 29.5 +/-0.223 Wisconsin 29.5 +/-0.425 North Carolina 29.3 +/-0.326 Hawaii 29.2 +/-0.827 Minnesota 28.8 +/-0.428 Florida 28.7 +/-0.2

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Rank Geographical Area Percent Margin of Error29 Indiana 28.5 +/-0.329 Vermont 28.5 +/-1.131 Colorado 28.3 +/-0.432 Alabama 28.2 +/-0.533 South Dakota 28.0 +/-1.034 Oregon 27.9 +/-0.435 Missouri 27.7 +/-0.336 Washington 27.6 +/-0.337 Tennessee 27.5 +/-0.337 Utah 27.5 +/-0.639 North Dakota 27.2 +/-1.140 Nebraska 27.1 +/-0.641 New Hampshire 26.7 +/-0.742 Kentucky 26.5 +/-0.443 Kansas 26.4 +/-0.644 Iowa 26.3 +/-0.545 Maine 25.9 +/-0.746 Oklahoma 25.7 +/-0.447 Montana 25.1 +/-1.048 Arkansas 25.0 +/-0.549 Wyoming 24.7 +/-1.250 Idaho 24.4 +/-0.951 West Virginia 24.0 +/-0.6

Puerto Rico 36.5 +/-0.5

Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability isrepresented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpretedroughly as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin oferror (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject tononsampling error (for a discussion of nonsampling variability, see Accuracy of the Data). The effect of nonsampling error is not represented in thesetables.

While the 2016 American Community Survey (ACS) data generally reflect the February 2013 Office of Management and Budget (OMB) definitions ofmetropolitan and micropolitan statistical areas; in certain instances the names, codes, and boundaries of the principal cities shown in ACS tables maydiffer from the OMB definitions due to differences in the effective dates of the geographic entities.

Estimates of urban and rural population, housing units, and characteristics reflect boundaries of urban areas defined based on Census 2010 data. Asa result, data for urban and rural areas from the ACS do not necessarily reflect the results of ongoing urbanization.

Source: U.S. Census Bureau, 2016 American Community Survey 1-Year Estimates

Explanation of Symbols:

1. An '**' entry in the margin of error column indicates that either no sample observations or too few sample observations were available tocompute a standard error and thus the margin of error. A statistical test is not appropriate. 2. An '-' entry in the estimate column indicates that either no sample observations or too few sample observations were available to compute anestimate, or a ratio of medians cannot be calculated because one or both of the median estimates falls in the lowest interval or upper interval of anopen-ended distribution. 3. An '-' following a median estimate means the median falls in the lowest interval of an open-ended distribution. 4. An '+' following a median estimate means the median falls in the upper interval of an open-ended distribution. 5. An '***' entry in the margin of error column indicates that the median falls in the lowest interval or upper interval of an open-ended distribution. Astatistical test is not appropriate. 6. An '*****' entry in the margin of error column indicates that the estimate is controlled. A statistical test for sampling variability is not appropriate. 7. An 'N' entry in the estimate and margin of error columns indicates that data for this geographic area cannot be displayed because the number ofsample cases is too small. 8. An '(X)' means that the estimate is not applicable or not available.

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R1203 RATIO OF UNMARRIED MEN 15 TO 44 YEARS PER 100 UNMARRIED WOMEN 15 TO 44 YEARS -United States -- States; and Puerto RicoUniverse: Female population2016 American Community Survey 1-Year Estimates

Supporting documentation on code lists, subject definitions, data accuracy, and statistical testing can be found on the American Community Surveywebsite in the Data and Documentation section.

Sample size and data quality measures (including coverage rates, allocation rates, and response rates) can be found on the American CommunitySurvey website in the Methodology section.

Tell us what you think. Provide feedback to help make American Community Survey data more useful for you.

Although the American Community Survey (ACS) produces population, demographic and housing unit estimates, it is the Census Bureau's PopulationEstimates Program that produces and disseminates the official estimates of the population for the nation, states, counties, cities and towns andestimates of housing units for states and counties.

To view this table with statistical significance, select With Statistical Significance in the Action menu.A # next to a geography indicates when an estimate is not statistically significant from the estimate for the selected geography.The ## indicates the selected geography.

Rank Geographical Area Ratio Margin of ErrorUnited States 110.9 +/-0.2

1 Alaska 131.9 +/-6.12 North Dakota 130.4 +/-5.93 South Dakota 126.7 +/-5.54 Hawaii 126.5 +/-3.75 Montana 121.8 +/-4.76 Colorado 121.2 +/-1.67 Kansas 119.0 +/-2.68 Washington 118.1 +/-1.59 Utah 117.6 +/-2.410 Idaho 117.1 +/-4.411 Nevada 115.6 +/-2.012 Minnesota 115.5 +/-1.513 New Mexico 115.2 +/-3.014 Arizona 115.0 +/-1.315 Nebraska 114.9 +/-2.715 New Hampshire 114.9 +/-2.617 Oklahoma 114.8 +/-1.818 Iowa 114.7 +/-2.019 West Virginia 114.5 +/-3.020 California 114.0 +/-0.521 Wisconsin 113.8 +/-1.322 Wyoming 113.7 +/-6.623 Maine 113.0 +/-2.724 Oregon 112.5 +/-2.024 Virginia 112.5 +/-1.426 Texas 112.4 +/-0.827 Kentucky 112.0 +/-1.628 New Jersey 111.7 +/-1.1

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Rank Geographical Area Ratio Margin of Error29 Missouri 111.6 +/-1.730 Indiana 111.0 +/-1.430 Vermont 111.0 +/-3.832 Connecticut 110.6 +/-1.433 Pennsylvania 110.1 +/-0.834 Florida 109.9 +/-0.835 Arkansas 109.6 +/-2.636 Michigan 109.5 +/-0.737 Ohio 109.4 +/-0.838 Tennessee 108.9 +/-1.439 Illinois 108.2 +/-0.840 Delaware 107.8 +/-3.441 Rhode Island 107.4 +/-2.842 Louisiana 106.1 +/-1.843 Massachusetts 106.0 +/-1.143 South Carolina 106.0 +/-1.645 North Carolina 105.9 +/-1.346 Alabama 105.8 +/-1.947 Maryland 105.4 +/-1.347 New York 105.4 +/-0.749 Georgia 104.8 +/-1.250 Mississippi 102.0 +/-2.951 District of Columbia 89.8 +/-2.4

Puerto Rico 101.8 +/-1.7

Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability isrepresented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpretedroughly as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin oferror (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject tononsampling error (for a discussion of nonsampling variability, see Accuracy of the Data). The effect of nonsampling error is not represented in thesetables.

While the 2016 American Community Survey (ACS) data generally reflect the February 2013 Office of Management and Budget (OMB) definitions ofmetropolitan and micropolitan statistical areas; in certain instances the names, codes, and boundaries of the principal cities shown in ACS tables maydiffer from the OMB definitions due to differences in the effective dates of the geographic entities.

Estimates of urban and rural population, housing units, and characteristics reflect boundaries of urban areas defined based on Census 2010 data. Asa result, data for urban and rural areas from the ACS do not necessarily reflect the results of ongoing urbanization.

Source: U.S. Census Bureau, 2016 American Community Survey 1-Year Estimates

Explanation of Symbols:

1. An '**' entry in the margin of error column indicates that either no sample observations or too few sample observations were available tocompute a standard error and thus the margin of error. A statistical test is not appropriate. 2. An '-' entry in the estimate column indicates that either no sample observations or too few sample observations were available to compute anestimate, or a ratio of medians cannot be calculated because one or both of the median estimates falls in the lowest interval or upper interval of anopen-ended distribution. 3. An '-' following a median estimate means the median falls in the lowest interval of an open-ended distribution. 4. An '+' following a median estimate means the median falls in the upper interval of an open-ended distribution. 5. An '***' entry in the margin of error column indicates that the median falls in the lowest interval or upper interval of an open-ended distribution. Astatistical test is not appropriate. 6. An '*****' entry in the margin of error column indicates that the estimate is controlled. A statistical test for sampling variability is not appropriate. 7. An 'N' entry in the estimate and margin of error columns indicates that data for this geographic area cannot be displayed because the number ofsample cases is too small. 8. An '(X)' means that the estimate is not applicable or not available.

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R1204 MEDIAN AGE AT FIRST MARRIAGE FOR MEN - United States -- States; and Puerto RicoUniverse: Male population2016 American Community Survey 1-Year Estimates

Supporting documentation on code lists, subject definitions, data accuracy, and statistical testing can be found on the American Community Surveywebsite in the Data and Documentation section.

Sample size and data quality measures (including coverage rates, allocation rates, and response rates) can be found on the American CommunitySurvey website in the Methodology section.

Tell us what you think. Provide feedback to help make American Community Survey data more useful for you.

Although the American Community Survey (ACS) produces population, demographic and housing unit estimates, it is the Census Bureau's PopulationEstimates Program that produces and disseminates the official estimates of the population for the nation, states, counties, cities and towns andestimates of housing units for states and counties.

To view this table with statistical significance, select With Statistical Significance in the Action menu.A # next to a geography indicates when an estimate is not statistically significant from the estimate for the selected geography.The ## indicates the selected geography.

Rank Geographical Area Median Age Margin of ErrorUnited States 29.9 +/-0.3

1 Connecticut 31.6 +/-0.52 Massachusetts 31.2 +/-0.33 New York 31.0 +/-0.24 District of Columbia 30.9 +/-0.74 New Jersey 30.9 +/-0.24 Rhode Island 30.9 +/-0.87 Florida 30.7 +/-0.37 Vermont 30.7 +/-1.49 Alaska 30.6 +/-1.79 California 30.6 +/-0.29 Delaware 30.6 +/-0.79 New Hampshire 30.6 +/-0.413 Maryland 30.5 +/-0.314 Illinois 30.4 +/-0.214 Pennsylvania 30.4 +/-0.316 Maine 30.0 +/-0.517 Michigan 29.9 +/-0.317 South Carolina 29.9 +/-0.517 Virginia 29.9 +/-0.320 Arizona 29.8 +/-0.320 Louisiana 29.8 +/-0.420 Wisconsin 29.8 +/-0.323 Nevada 29.7 +/-0.523 Oregon 29.7 +/-0.325 Minnesota 29.6 +/-0.325 Montana 29.6 +/-0.927 Ohio 29.5 +/-0.227 Washington 29.5 +/-0.229 Colorado 29.3 +/-0.3

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Rank Geographical Area Median Age Margin of Error29 Georgia 29.3 +/-0.431 North Carolina 29.2 +/-0.332 Hawaii 28.9 +/-0.932 Indiana 28.9 +/-0.432 Texas 28.9 +/-0.235 West Virginia 28.8 +/-0.735 Wyoming 28.8 +/-1.237 Missouri 28.7 +/-0.437 Nebraska 28.7 +/-0.439 Iowa 28.6 +/-0.539 Mississippi 28.6 +/-0.841 New Mexico 28.5 +/-0.942 Kentucky 28.4 +/-0.742 Tennessee 28.4 +/-0.444 Alabama 28.3 +/-0.545 North Dakota 28.1 +/-1.146 South Dakota 28.0 +/-0.947 Oklahoma 27.7 +/-0.548 Kansas 27.5 +/-0.649 Arkansas 27.2 +/-0.750 Idaho 27.0 +/-0.951 Utah 26.3 +/-0.4

Puerto Rico 33.1 +/-0.7

Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability isrepresented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpretedroughly as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin oferror (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject tononsampling error (for a discussion of nonsampling variability, see Accuracy of the Data). The effect of nonsampling error is not represented in thesetables.

While the 2016 American Community Survey (ACS) data generally reflect the February 2013 Office of Management and Budget (OMB) definitions ofmetropolitan and micropolitan statistical areas; in certain instances the names, codes, and boundaries of the principal cities shown in ACS tables maydiffer from the OMB definitions due to differences in the effective dates of the geographic entities.

Estimates of urban and rural population, housing units, and characteristics reflect boundaries of urban areas defined based on Census 2010 data. Asa result, data for urban and rural areas from the ACS do not necessarily reflect the results of ongoing urbanization.

Source: U.S. Census Bureau, 2016 American Community Survey 1-Year Estimates

Explanation of Symbols:

1. An '**' entry in the margin of error column indicates that either no sample observations or too few sample observations were available tocompute a standard error and thus the margin of error. A statistical test is not appropriate. 2. An '-' entry in the estimate column indicates that either no sample observations or too few sample observations were available to compute anestimate, or a ratio of medians cannot be calculated because one or both of the median estimates falls in the lowest interval or upper interval of anopen-ended distribution. 3. An '-' following a median estimate means the median falls in the lowest interval of an open-ended distribution. 4. An '+' following a median estimate means the median falls in the upper interval of an open-ended distribution. 5. An '***' entry in the margin of error column indicates that the median falls in the lowest interval or upper interval of an open-ended distribution. Astatistical test is not appropriate. 6. An '*****' entry in the margin of error column indicates that the estimate is controlled. A statistical test for sampling variability is not appropriate. 7. An 'N' entry in the estimate and margin of error columns indicates that data for this geographic area cannot be displayed because the number ofsample cases is too small. 8. An '(X)' means that the estimate is not applicable or not available.

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R1205 MEDIAN AGE AT FIRST MARRIAGE FOR WOMEN - United States -- States; and Puerto RicoUniverse: Female population2016 American Community Survey 1-Year Estimates

Supporting documentation on code lists, subject definitions, data accuracy, and statistical testing can be found on the American Community Surveywebsite in the Data and Documentation section.

Sample size and data quality measures (including coverage rates, allocation rates, and response rates) can be found on the American CommunitySurvey website in the Methodology section.

Tell us what you think. Provide feedback to help make American Community Survey data more useful for you.

Although the American Community Survey (ACS) produces population, demographic and housing unit estimates, it is the Census Bureau's PopulationEstimates Program that produces and disseminates the official estimates of the population for the nation, states, counties, cities and towns andestimates of housing units for states and counties.

To view this table with statistical significance, select With Statistical Significance in the Action menu.A # next to a geography indicates when an estimate is not statistically significant from the estimate for the selected geography.The ## indicates the selected geography.

Rank Geographical Area Median Age Margin of ErrorUnited States 27.9 +/-0.2

1 District of Columbia 30.3 +/-0.72 Rhode Island 30.0 +/-1.13 Massachusetts 29.8 +/-0.33 New York 29.8 +/-0.25 Connecticut 29.5 +/-0.46 New Jersey 29.3 +/-0.37 Florida 29.0 +/-0.28 Maryland 28.9 +/-0.48 Pennsylvania 28.9 +/-0.210 Illinois 28.8 +/-0.211 California 28.7 +/-0.212 Delaware 28.6 +/-1.113 New Hampshire 28.4 +/-0.713 South Carolina 28.4 +/-0.513 Vermont 28.4 +/-1.316 Nevada 28.2 +/-0.617 Wisconsin 28.1 +/-0.318 Arizona 28.0 +/-0.519 Michigan 27.9 +/-0.320 Ohio 27.8 +/-0.421 Hawaii 27.7 +/-1.021 North Carolina 27.7 +/-0.423 Minnesota 27.6 +/-0.423 Oregon 27.6 +/-0.625 Louisiana 27.5 +/-0.526 Virginia 27.4 +/-0.427 Colorado 27.3 +/-0.427 Missouri 27.3 +/-0.429 Georgia 27.1 +/-0.3

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Rank Geographical Area Median Age Margin of Error30 Maine 27.0 +/-0.730 Tennessee 27.0 +/-0.430 Washington 27.0 +/-0.433 Indiana 26.9 +/-0.333 Texas 26.9 +/-0.335 Alaska 26.8 +/-1.135 Iowa 26.8 +/-0.435 New Mexico 26.8 +/-0.938 North Dakota 26.7 +/-1.039 Mississippi 26.6 +/-0.540 West Virginia 26.5 +/-0.741 Montana 26.4 +/-0.742 Alabama 26.3 +/-0.342 Kentucky 26.3 +/-0.444 Nebraska 26.2 +/-0.345 Kansas 26.0 +/-0.445 South Dakota 26.0 +/-0.545 Wyoming 26.0 +/-0.548 Oklahoma 25.7 +/-0.349 Arkansas 25.6 +/-0.350 Idaho 25.1 +/-0.651 Utah 24.7 +/-0.3

Puerto Rico 31.0 +/-1.3

Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability isrepresented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpretedroughly as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin oferror (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject tononsampling error (for a discussion of nonsampling variability, see Accuracy of the Data). The effect of nonsampling error is not represented in thesetables.

While the 2016 American Community Survey (ACS) data generally reflect the February 2013 Office of Management and Budget (OMB) definitions ofmetropolitan and micropolitan statistical areas; in certain instances the names, codes, and boundaries of the principal cities shown in ACS tables maydiffer from the OMB definitions due to differences in the effective dates of the geographic entities.

Estimates of urban and rural population, housing units, and characteristics reflect boundaries of urban areas defined based on Census 2010 data. Asa result, data for urban and rural areas from the ACS do not necessarily reflect the results of ongoing urbanization.

Source: U.S. Census Bureau, 2016 American Community Survey 1-Year Estimates

Explanation of Symbols:

1. An '**' entry in the margin of error column indicates that either no sample observations or too few sample observations were available tocompute a standard error and thus the margin of error. A statistical test is not appropriate. 2. An '-' entry in the estimate column indicates that either no sample observations or too few sample observations were available to compute anestimate, or a ratio of medians cannot be calculated because one or both of the median estimates falls in the lowest interval or upper interval of anopen-ended distribution. 3. An '-' following a median estimate means the median falls in the lowest interval of an open-ended distribution. 4. An '+' following a median estimate means the median falls in the upper interval of an open-ended distribution. 5. An '***' entry in the margin of error column indicates that the median falls in the lowest interval or upper interval of an open-ended distribution. Astatistical test is not appropriate. 6. An '*****' entry in the margin of error column indicates that the estimate is controlled. A statistical test for sampling variability is not appropriate. 7. An 'N' entry in the estimate and margin of error columns indicates that data for this geographic area cannot be displayed because the number ofsample cases is too small. 8. An '(X)' means that the estimate is not applicable or not available.

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R1251 MARRIAGE RATE PER 1,000 WOMEN 15 YEARS AND OVER (MARRIAGES IN THE LAST YEAR PER1,000 WOMEN) - United States -- States; and Puerto RicoUniverse: Females 15 years and over2016 American Community Survey 1-Year Estimates

Supporting documentation on code lists, subject definitions, data accuracy, and statistical testing can be found on the American Community Surveywebsite in the Data and Documentation section.

Sample size and data quality measures (including coverage rates, allocation rates, and response rates) can be found on the American CommunitySurvey website in the Methodology section.

Tell us what you think. Provide feedback to help make American Community Survey data more useful for you.

Although the American Community Survey (ACS) produces population, demographic and housing unit estimates, it is the Census Bureau's PopulationEstimates Program that produces and disseminates the official estimates of the population for the nation, states, counties, cities and towns andestimates of housing units for states and counties.

To view this table with statistical significance, select With Statistical Significance in the Action menu.A # next to a geography indicates when an estimate is not statistically significant from the estimate for the selected geography.The ## indicates the selected geography.

Rank Geographical Area Rate Margin of ErrorUnited States 17.0 +/-0.2

1 Utah 26.7 +/-2.22 Alaska 25.7 +/-5.53 Colorado 23.5 +/-1.43 District of Columbia 23.5 +/-4.75 Wyoming 22.6 +/-5.76 Arkansas 20.9 +/-2.27 Idaho 20.7 +/-3.38 Texas 20.6 +/-0.89 Indiana 20.0 +/-1.710 Hawaii 19.9 +/-2.810 Oklahoma 19.9 +/-1.512 Mississippi 19.7 +/-1.813 Tennessee 19.5 +/-1.414 Kansas 19.3 +/-2.215 Washington 19.0 +/-1.516 North Dakota 18.7 +/-3.616 South Dakota 18.7 +/-3.618 Nevada 18.3 +/-2.019 Virginia 18.2 +/-1.320 Kentucky 18.1 +/-1.520 Montana 18.1 +/-3.622 Georgia 17.7 +/-1.222 North Carolina 17.7 +/-1.122 South Carolina 17.7 +/-1.625 Oregon 17.5 +/-1.826 Nebraska 17.4 +/-2.327 Minnesota 17.2 +/-1.428 Arizona 16.9 +/-1.4

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Rank Geographical Area Rate Margin of Error29 Missouri 16.8 +/-1.330 Maryland 16.7 +/-1.231 California 16.5 +/-0.532 Michigan 16.4 +/-0.932 Wisconsin 16.4 +/-1.234 Ohio 16.0 +/-0.835 Alabama 15.9 +/-1.635 Connecticut 15.9 +/-1.635 Iowa 15.9 +/-1.538 Maine 15.5 +/-2.938 New Hampshire 15.5 +/-2.540 Illinois 15.2 +/-0.841 Massachusetts 15.1 +/-1.142 Louisiana 15.0 +/-1.643 Florida 14.5 +/-0.844 Pennsylvania 14.3 +/-0.745 New York 14.2 +/-0.645 Vermont 14.2 +/-3.047 Rhode Island 14.0 +/-2.548 West Virginia 13.9 +/-2.349 New Mexico 13.6 +/-2.450 Delaware 13.2 +/-4.451 New Jersey 13.1 +/-0.9

Puerto Rico 7.9 +/-1.3

Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability isrepresented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpretedroughly as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin oferror (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject tononsampling error (for a discussion of nonsampling variability, see Accuracy of the Data). The effect of nonsampling error is not represented in thesetables.

Marriage estimates may vary from the marriage data released by the National Center for Health Statistics (NCHS) because of differences inmethodology and data collection. NCHS uses information collected on marriage certificates from states providing them. From these administrativerecords, NCHS then publishes information about couples who married in a calendar year. In contrast, the ACS collects survey-based reports fromindividuals as to whether or not they married in the last 12 months. We recommend using caution when comparing the NCHS estimates to the ACSestimates of marriages.

While the 2016 American Community Survey (ACS) data generally reflect the February 2013 Office of Management and Budget (OMB) definitions ofmetropolitan and micropolitan statistical areas; in certain instances the names, codes, and boundaries of the principal cities shown in ACS tables maydiffer from the OMB definitions due to differences in the effective dates of the geographic entities.

Estimates of urban and rural population, housing units, and characteristics reflect boundaries of urban areas defined based on Census 2010 data. Asa result, data for urban and rural areas from the ACS do not necessarily reflect the results of ongoing urbanization.

Source: U.S. Census Bureau, 2016 American Community Survey 1-Year Estimates

Explanation of Symbols:

1. An '**' entry in the margin of error column indicates that either no sample observations or too few sample observations were available tocompute a standard error and thus the margin of error. A statistical test is not appropriate. 2. An '-' entry in the estimate column indicates that either no sample observations or too few sample observations were available to compute anestimate, or a ratio of medians cannot be calculated because one or both of the median estimates falls in the lowest interval or upper interval of anopen-ended distribution. 3. An '-' following a median estimate means the median falls in the lowest interval of an open-ended distribution. 4. An '+' following a median estimate means the median falls in the upper interval of an open-ended distribution. 5. An '***' entry in the margin of error column indicates that the median falls in the lowest interval or upper interval of an open-ended distribution. Astatistical test is not appropriate. 6. An '*****' entry in the margin of error column indicates that the estimate is controlled. A statistical test for sampling variability is not appropriate. 7. An 'N' entry in the estimate and margin of error columns indicates that data for this geographic area cannot be displayed because the number ofsample cases is too small. 8. An '(X)' means that the estimate is not applicable or not available.

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R1252 MARRIAGE RATE PER 1,000 MEN 15 YEARS AND OVER (MARRIAGES IN THE LAST YEAR PER1,000 MEN) - United States -- States; and Puerto RicoUniverse: Males 15 years and over2016 American Community Survey 1-Year Estimates

Supporting documentation on code lists, subject definitions, data accuracy, and statistical testing can be found on the American Community Surveywebsite in the Data and Documentation section.

Sample size and data quality measures (including coverage rates, allocation rates, and response rates) can be found on the American CommunitySurvey website in the Methodology section.

Tell us what you think. Provide feedback to help make American Community Survey data more useful for you.

Although the American Community Survey (ACS) produces population, demographic and housing unit estimates, it is the Census Bureau's PopulationEstimates Program that produces and disseminates the official estimates of the population for the nation, states, counties, cities and towns andestimates of housing units for states and counties.

To view this table with statistical significance, select With Statistical Significance in the Action menu.A # next to a geography indicates when an estimate is not statistically significant from the estimate for the selected geography.The ## indicates the selected geography.

Rank Geographical Area Rate Margin of ErrorUnited States 18.2 +/-0.2

1 District of Columbia 27.8 +/-5.22 Utah 27.0 +/-2.33 Wyoming 23.7 +/-5.54 Colorado 22.6 +/-1.55 Alaska 22.5 +/-4.66 Arkansas 22.2 +/-2.37 Mississippi 21.9 +/-2.48 Hawaii 21.4 +/-3.19 Oklahoma 21.1 +/-1.69 Texas 21.1 +/-0.711 Tennessee 21.0 +/-1.612 North Dakota 20.7 +/-4.213 Georgia 20.3 +/-1.614 Virginia 20.2 +/-1.315 Kansas 20.1 +/-1.916 Indiana 19.9 +/-1.717 Idaho 19.5 +/-3.217 Nevada 19.5 +/-2.319 South Carolina 19.4 +/-1.620 Washington 19.3 +/-1.421 South Dakota 19.1 +/-3.522 Kentucky 18.9 +/-1.723 North Carolina 18.4 +/-1.223 Oregon 18.4 +/-1.925 California 18.2 +/-0.526 Montana 18.1 +/-3.127 Nebraska 18.0 +/-2.428 Maryland 17.6 +/-1.4

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Rank Geographical Area Rate Margin of Error29 Minnesota 17.3 +/-1.429 Missouri 17.3 +/-1.331 Florida 16.9 +/-0.931 Illinois 16.9 +/-1.031 Ohio 16.9 +/-0.834 Alabama 16.7 +/-1.835 Massachusetts 16.6 +/-1.336 Arizona 16.5 +/-1.336 Michigan 16.5 +/-1.036 Wisconsin 16.5 +/-1.239 Iowa 16.2 +/-1.539 New Hampshire 16.2 +/-2.441 New York 16.1 +/-0.842 Connecticut 15.9 +/-1.643 Pennsylvania 15.7 +/-0.844 Rhode Island 15.5 +/-3.245 New Jersey 15.4 +/-1.146 New Mexico 15.3 +/-2.647 Louisiana 14.7 +/-1.748 Delaware 14.1 +/-4.249 West Virginia 13.5 +/-2.050 Maine 12.6 +/-2.451 Vermont 12.1 +/-2.8

Puerto Rico 7.9 +/-1.3

Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability isrepresented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpretedroughly as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin oferror (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject tononsampling error (for a discussion of nonsampling variability, see Accuracy of the Data). The effect of nonsampling error is not represented in thesetables.

Marriage estimates may vary from the marriage data released by the National Center for Health Statistics (NCHS) because of differences inmethodology and data collection. NCHS uses information collected on marriage certificates from states providing them. From these administrativerecords, NCHS then publishes information about couples who married in a calendar year. In contrast, the ACS collects survey-based reports fromindividuals as to whether or not they married in the last 12 months. We recommend using caution when comparing the NCHS estimates to the ACSestimates of marriages.

While the 2016 American Community Survey (ACS) data generally reflect the February 2013 Office of Management and Budget (OMB) definitions ofmetropolitan and micropolitan statistical areas; in certain instances the names, codes, and boundaries of the principal cities shown in ACS tables maydiffer from the OMB definitions due to differences in the effective dates of the geographic entities.

Estimates of urban and rural population, housing units, and characteristics reflect boundaries of urban areas defined based on Census 2010 data. Asa result, data for urban and rural areas from the ACS do not necessarily reflect the results of ongoing urbanization.

Source: U.S. Census Bureau, 2016 American Community Survey 1-Year Estimates

Explanation of Symbols:

1. An '**' entry in the margin of error column indicates that either no sample observations or too few sample observations were available tocompute a standard error and thus the margin of error. A statistical test is not appropriate. 2. An '-' entry in the estimate column indicates that either no sample observations or too few sample observations were available to compute anestimate, or a ratio of medians cannot be calculated because one or both of the median estimates falls in the lowest interval or upper interval of anopen-ended distribution. 3. An '-' following a median estimate means the median falls in the lowest interval of an open-ended distribution. 4. An '+' following a median estimate means the median falls in the upper interval of an open-ended distribution. 5. An '***' entry in the margin of error column indicates that the median falls in the lowest interval or upper interval of an open-ended distribution. Astatistical test is not appropriate. 6. An '*****' entry in the margin of error column indicates that the estimate is controlled. A statistical test for sampling variability is not appropriate. 7. An 'N' entry in the estimate and margin of error columns indicates that data for this geographic area cannot be displayed because the number ofsample cases is too small. 8. An '(X)' means that the estimate is not applicable or not available.

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R1253 DIVORCE RATE PER 1,000 WOMEN 15 YEARS AND OVER (DIVORCES IN THE LAST YEAR PER1,000 WOMEN) - United States -- States; and Puerto RicoUniverse: Females 15 years and over2016 American Community Survey 1-Year Estimates

Supporting documentation on code lists, subject definitions, data accuracy, and statistical testing can be found on the American Community Surveywebsite in the Data and Documentation section.

Sample size and data quality measures (including coverage rates, allocation rates, and response rates) can be found on the American CommunitySurvey website in the Methodology section.

Tell us what you think. Provide feedback to help make American Community Survey data more useful for you.

Although the American Community Survey (ACS) produces population, demographic and housing unit estimates, it is the Census Bureau's PopulationEstimates Program that produces and disseminates the official estimates of the population for the nation, states, counties, cities and towns andestimates of housing units for states and counties.

To view this table with statistical significance, select With Statistical Significance in the Action menu.A # next to a geography indicates when an estimate is not statistically significant from the estimate for the selected geography.The ## indicates the selected geography.

Rank Geographical Area Rate Margin of ErrorUnited States 8.2 +/-0.1

1 Wyoming 14.6 +/-4.62 Arkansas 13.0 +/-2.03 Idaho 11.1 +/-2.33 Utah 11.1 +/-1.85 Oklahoma 10.6 +/-1.16 Oregon 10.2 +/-1.47 Montana 10.1 +/-2.18 Kentucky 10.0 +/-1.18 Louisiana 10.0 +/-1.28 Tennessee 10.0 +/-0.911 Arizona 9.9 +/-1.211 Georgia 9.9 +/-0.711 Indiana 9.9 +/-1.014 Alabama 9.4 +/-1.114 Connecticut 9.4 +/-1.414 Nevada 9.4 +/-1.617 Maine 9.3 +/-1.918 Texas 9.2 +/-0.618 Washington 9.2 +/-1.020 Kansas 9.1 +/-1.321 West Virginia 9.0 +/-1.622 Delaware 8.8 +/-2.622 North Dakota 8.8 +/-2.324 Mississippi 8.7 +/-1.625 Alaska 8.6 +/-2.725 South Carolina 8.6 +/-1.027 Florida 8.5 +/-0.628 Maryland 8.2 +/-1.1

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Rank Geographical Area Rate Margin of Error28 Missouri 8.2 +/-0.930 Colorado 8.1 +/-1.130 New Mexico 8.1 +/-1.632 Nebraska 7.9 +/-1.632 North Carolina 7.9 +/-0.734 Iowa 7.7 +/-1.234 Michigan 7.7 +/-0.634 Ohio 7.7 +/-0.637 Pennsylvania 7.6 +/-0.638 Virginia 7.4 +/-0.839 California 7.3 +/-0.439 New Hampshire 7.3 +/-1.941 Hawaii 7.2 +/-1.942 Rhode Island 7.0 +/-2.242 South Dakota 7.0 +/-2.142 Wisconsin 7.0 +/-0.945 Illinois 6.8 +/-0.545 Minnesota 6.8 +/-0.747 Vermont 6.5 +/-2.048 New York 6.2 +/-0.549 New Jersey 6.1 +/-0.650 District of Columbia 5.8 +/-2.151 Massachusetts 5.6 +/-0.6

Puerto Rico 5.4 +/-0.9

Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability isrepresented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpretedroughly as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin oferror (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject tononsampling error (for a discussion of nonsampling variability, see Accuracy of the Data). The effect of nonsampling error is not represented in thesetables.

Divorce estimates may vary from the divorce data released by the National Center for Health Statistics (NCHS) because of differences in methodologyand data collection. NCHS uses information collected on divorce decrees from states providing them. From these administrative records, NCHS thenpublishes information about couples who divorced in a calendar year. In contrast, the ACS collects survey-based reports from individuals as towhether or not they divorced in the last 12 months. We recommend using caution when comparing the NCHS estimates to the ACS estimates ofdivorces.

While the 2016 American Community Survey (ACS) data generally reflect the February 2013 Office of Management and Budget (OMB) definitions ofmetropolitan and micropolitan statistical areas; in certain instances the names, codes, and boundaries of the principal cities shown in ACS tables maydiffer from the OMB definitions due to differences in the effective dates of the geographic entities.

Estimates of urban and rural population, housing units, and characteristics reflect boundaries of urban areas defined based on Census 2010 data. Asa result, data for urban and rural areas from the ACS do not necessarily reflect the results of ongoing urbanization.

Source: U.S. Census Bureau, 2016 American Community Survey 1-Year Estimates

Explanation of Symbols:

1. An '**' entry in the margin of error column indicates that either no sample observations or too few sample observations were available tocompute a standard error and thus the margin of error. A statistical test is not appropriate. 2. An '-' entry in the estimate column indicates that either no sample observations or too few sample observations were available to compute anestimate, or a ratio of medians cannot be calculated because one or both of the median estimates falls in the lowest interval or upper interval of anopen-ended distribution. 3. An '-' following a median estimate means the median falls in the lowest interval of an open-ended distribution. 4. An '+' following a median estimate means the median falls in the upper interval of an open-ended distribution. 5. An '***' entry in the margin of error column indicates that the median falls in the lowest interval or upper interval of an open-ended distribution. Astatistical test is not appropriate. 6. An '*****' entry in the margin of error column indicates that the estimate is controlled. A statistical test for sampling variability is not appropriate. 7. An 'N' entry in the estimate and margin of error columns indicates that data for this geographic area cannot be displayed because the number ofsample cases is too small. 8. An '(X)' means that the estimate is not applicable or not available.

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R1254 DIVORCE RATE PER 1,000 MEN 15 YEARS AND OVER (DIVORCES IN THE LAST YEAR PER 1,000MEN) - United States -- States; and Puerto RicoUniverse: Males 15 years and over2016 American Community Survey 1-Year Estimates

Supporting documentation on code lists, subject definitions, data accuracy, and statistical testing can be found on the American Community Surveywebsite in the Data and Documentation section.

Sample size and data quality measures (including coverage rates, allocation rates, and response rates) can be found on the American CommunitySurvey website in the Methodology section.

Tell us what you think. Provide feedback to help make American Community Survey data more useful for you.

Although the American Community Survey (ACS) produces population, demographic and housing unit estimates, it is the Census Bureau's PopulationEstimates Program that produces and disseminates the official estimates of the population for the nation, states, counties, cities and towns andestimates of housing units for states and counties.

To view this table with statistical significance, select With Statistical Significance in the Action menu.A # next to a geography indicates when an estimate is not statistically significant from the estimate for the selected geography.The ## indicates the selected geography.

Rank Geographical Area Rate Margin of ErrorUnited States 7.8 +/-0.1

1 Idaho 12.4 +/-2.72 Arkansas 11.3 +/-1.43 Kansas 10.5 +/-1.33 West Virginia 10.5 +/-1.85 Oklahoma 10.4 +/-1.26 Nevada 10.3 +/-1.67 Montana 9.8 +/-2.78 Indiana 9.6 +/-1.18 Missouri 9.6 +/-1.010 Alaska 9.2 +/-2.910 Kentucky 9.2 +/-1.212 Tennessee 9.1 +/-0.913 Louisiana 8.9 +/-1.314 Colorado 8.8 +/-1.015 Alabama 8.7 +/-1.216 North Dakota 8.6 +/-3.216 South Carolina 8.6 +/-1.018 Florida 8.5 +/-0.718 Washington 8.5 +/-1.020 Michigan 8.3 +/-0.621 Georgia 8.2 +/-0.821 New Hampshire 8.2 +/-1.921 Virginia 8.2 +/-0.824 Maryland 8.1 +/-1.024 Texas 8.1 +/-0.626 Oregon 8.0 +/-1.227 Maine 7.9 +/-1.628 North Carolina 7.8 +/-0.8

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Rank Geographical Area Rate Margin of Error29 Ohio 7.7 +/-0.730 New Mexico 7.6 +/-1.430 Pennsylvania 7.6 +/-0.632 Mississippi 7.5 +/-1.533 Wisconsin 7.4 +/-0.934 Iowa 7.3 +/-1.234 Nebraska 7.3 +/-1.636 Arizona 7.2 +/-1.037 Delaware 7.1 +/-2.137 Utah 7.1 +/-1.239 Illinois 6.9 +/-0.740 New Jersey 6.8 +/-0.640 Vermont 6.8 +/-2.040 Wyoming 6.8 +/-3.043 District of Columbia 6.7 +/-3.043 Minnesota 6.7 +/-0.743 South Dakota 6.7 +/-2.546 California 6.6 +/-0.347 Rhode Island 6.4 +/-2.248 Connecticut 6.1 +/-1.049 Massachusetts 6.0 +/-0.850 New York 5.7 +/-0.451 Hawaii 5.6 +/-1.3

Puerto Rico 5.8 +/-1.0

Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability isrepresented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpretedroughly as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin oferror (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject tononsampling error (for a discussion of nonsampling variability, see Accuracy of the Data). The effect of nonsampling error is not represented in thesetables.

Divorce estimates may vary from the divorce data released by the National Center for Health Statistics (NCHS) because of differences in methodologyand data collection. NCHS uses information collected on divorce decrees from states providing them. From these administrative records, NCHS thenpublishes information about couples who divorced in a calendar year. In contrast, the ACS collects survey-based reports from individuals as towhether or not they divorced in the last 12 months. We recommend using caution when comparing the NCHS estimates to the ACS estimates ofdivorces.

While the 2016 American Community Survey (ACS) data generally reflect the February 2013 Office of Management and Budget (OMB) definitions ofmetropolitan and micropolitan statistical areas; in certain instances the names, codes, and boundaries of the principal cities shown in ACS tables maydiffer from the OMB definitions due to differences in the effective dates of the geographic entities.

Estimates of urban and rural population, housing units, and characteristics reflect boundaries of urban areas defined based on Census 2010 data. Asa result, data for urban and rural areas from the ACS do not necessarily reflect the results of ongoing urbanization.

Source: U.S. Census Bureau, 2016 American Community Survey 1-Year Estimates

Explanation of Symbols:

1. An '**' entry in the margin of error column indicates that either no sample observations or too few sample observations were available tocompute a standard error and thus the margin of error. A statistical test is not appropriate. 2. An '-' entry in the estimate column indicates that either no sample observations or too few sample observations were available to compute anestimate, or a ratio of medians cannot be calculated because one or both of the median estimates falls in the lowest interval or upper interval of anopen-ended distribution. 3. An '-' following a median estimate means the median falls in the lowest interval of an open-ended distribution. 4. An '+' following a median estimate means the median falls in the upper interval of an open-ended distribution. 5. An '***' entry in the margin of error column indicates that the median falls in the lowest interval or upper interval of an open-ended distribution. Astatistical test is not appropriate. 6. An '*****' entry in the margin of error column indicates that the estimate is controlled. A statistical test for sampling variability is not appropriate. 7. An 'N' entry in the estimate and margin of error columns indicates that data for this geographic area cannot be displayed because the number ofsample cases is too small. 8. An '(X)' means that the estimate is not applicable or not available.

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R1303 WOMEN 15 TO 50 YEARS OLD WHO HAD A BIRTH IN THE PAST 12 MONTHS (PER 1,000 WOMEN) -United States -- States; and Puerto RicoUniverse: Women 15 to 50 years2016 American Community Survey 1-Year Estimates

Supporting documentation on code lists, subject definitions, data accuracy, and statistical testing can be found on the American Community Surveywebsite in the Data and Documentation section.

Sample size and data quality measures (including coverage rates, allocation rates, and response rates) can be found on the American CommunitySurvey website in the Methodology section.

Tell us what you think. Provide feedback to help make American Community Survey data more useful for you.

Although the American Community Survey (ACS) produces population, demographic and housing unit estimates, it is the Census Bureau's PopulationEstimates Program that produces and disseminates the official estimates of the population for the nation, states, counties, cities and towns andestimates of housing units for states and counties.

To view this table with statistical significance, select With Statistical Significance in the Action menu.A # next to a geography indicates when an estimate is not statistically significant from the estimate for the selected geography.The ## indicates the selected geography.

Rank Geographical Area Rate Margin of ErrorUnited States 52 +/-1

1 South Dakota 70 +/-81 Utah 70 +/-53 North Dakota 68 +/-114 Hawaii 67 +/-75 Nebraska 62 +/-56 Idaho 61 +/-77 Iowa 59 +/-47 Oklahoma 59 +/-47 Texas 59 +/-210 Indiana 57 +/-310 Wyoming 57 +/-1012 Arkansas 56 +/-512 Georgia 56 +/-314 Alaska 55 +/-814 Louisiana 55 +/-414 Minnesota 55 +/-314 Ohio 55 +/-218 Kansas 54 +/-418 Missouri 54 +/-418 West Virginia 54 +/-718 Wisconsin 54 +/-322 Kentucky 53 +/-322 Michigan 53 +/-322 Mississippi 53 +/-525 South Carolina 52 +/-325 Washington 52 +/-327 Arizona 51 +/-327 Colorado 51 +/-3

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Rank Geographical Area Rate Margin of Error27 Maryland 51 +/-327 New Mexico 51 +/-631 Alabama 50 +/-431 Illinois 50 +/-231 Pennsylvania 50 +/-231 Tennessee 50 +/-331 Virginia 50 +/-336 California 49 +/-136 Nevada 49 +/-436 New Hampshire 49 +/-636 North Carolina 49 +/-240 Montana 48 +/-841 Florida 47 +/-241 New York 47 +/-243 New Jersey 46 +/-344 Delaware 45 +/-744 District of Columbia 45 +/-844 Maine 45 +/-644 Massachusetts 45 +/-344 Rhode Island 45 +/-849 Oregon 44 +/-350 Connecticut 41 +/-450 Vermont 41 +/-8

Puerto Rico 35 +/-3

Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability isrepresented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpretedroughly as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin oferror (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject tononsampling error (for a discussion of nonsampling variability, see Accuracy of the Data). The effect of nonsampling error is not represented in thesetables.

While the 2016 American Community Survey (ACS) data generally reflect the February 2013 Office of Management and Budget (OMB) definitions ofmetropolitan and micropolitan statistical areas; in certain instances the names, codes, and boundaries of the principal cities shown in ACS tables maydiffer from the OMB definitions due to differences in the effective dates of the geographic entities.

Estimates of urban and rural population, housing units, and characteristics reflect boundaries of urban areas defined based on Census 2010 data. Asa result, data for urban and rural areas from the ACS do not necessarily reflect the results of ongoing urbanization.

Source: U.S. Census Bureau, 2016 American Community Survey 1-Year Estimates

Explanation of Symbols:

1. An '**' entry in the margin of error column indicates that either no sample observations or too few sample observations were available tocompute a standard error and thus the margin of error. A statistical test is not appropriate. 2. An '-' entry in the estimate column indicates that either no sample observations or too few sample observations were available to compute anestimate, or a ratio of medians cannot be calculated because one or both of the median estimates falls in the lowest interval or upper interval of anopen-ended distribution. 3. An '-' following a median estimate means the median falls in the lowest interval of an open-ended distribution. 4. An '+' following a median estimate means the median falls in the upper interval of an open-ended distribution. 5. An '***' entry in the margin of error column indicates that the median falls in the lowest interval or upper interval of an open-ended distribution. Astatistical test is not appropriate. 6. An '*****' entry in the margin of error column indicates that the estimate is controlled. A statistical test for sampling variability is not appropriate. 7. An 'N' entry in the estimate and margin of error columns indicates that data for this geographic area cannot be displayed because the number ofsample cases is too small. 8. An '(X)' means that the estimate is not applicable or not available.

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R1304 TOTAL FERTILITY RATE (TFR) OF WOMEN (PER 1,000 WOMEN) - United States -- States; and PuertoRicoUniverse: Women 15 to 50 years2016 American Community Survey 1-Year Estimates

Supporting documentation on code lists, subject definitions, data accuracy, and statistical testing can be found on the American Community Surveywebsite in the Data and Documentation section.

Sample size and data quality measures (including coverage rates, allocation rates, and response rates) can be found on the American CommunitySurvey website in the Methodology section.

Tell us what you think. Provide feedback to help make American Community Survey data more useful for you.

Although the American Community Survey (ACS) produces population, demographic and housing unit estimates, it is the Census Bureau's PopulationEstimates Program that produces and disseminates the official estimates of the population for the nation, states, counties, cities and towns andestimates of housing units for states and counties.

To view this table with statistical significance, select With Statistical Significance in the Action menu.A # next to a geography indicates when an estimate is not statistically significant from the estimate for the selected geography.The ## indicates the selected geography.

Rank Geographical Area Rate Margin of ErrorUnited States 1,829 +/-17

1 South Dakota 2,448 +/-2782 Utah 2,380 +/-1823 Hawaii 2,325 +/-2374 North Dakota 2,194 +/-3485 Nebraska 2,171 +/-1566 Idaho 2,147 +/-2427 Iowa 2,098 +/-1508 Texas 2,057 +/-729 Oklahoma 2,054 +/-12410 Indiana 2,026 +/-11511 Arkansas 2,009 +/-16912 Georgia 2,005 +/-10713 West Virginia 1,985 +/-25114 Ohio 1,950 +/-6315 Wyoming 1,941 +/-32916 Wisconsin 1,936 +/-9517 Kentucky 1,930 +/-12018 Minnesota 1,918 +/-9819 Michigan 1,915 +/-9120 Missouri 1,908 +/-12221 Louisiana 1,902 +/-12922 Kansas 1,901 +/-14223 Mississippi 1,879 +/-16224 South Carolina 1,846 +/-11925 Alaska 1,842 +/-28526 New Hampshire 1,839 +/-24127 Arizona 1,820 +/-10328 Maryland 1,811 +/-113

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Rank Geographical Area Rate Margin of Error29 Washington 1,804 +/-11030 New Mexico 1,798 +/-22731 Pennsylvania 1,796 +/-7232 Alabama 1,786 +/-13133 North Carolina 1,782 +/-8134 Colorado 1,778 +/-11335 Tennessee 1,772 +/-11135 Virginia 1,772 +/-10237 Illinois 1,769 +/-6838 Nevada 1,721 +/-15439 California 1,712 +/-4040 Montana 1,703 +/-27741 Florida 1,694 +/-6342 New Jersey 1,674 +/-9143 Maine 1,663 +/-23544 New York 1,642 +/-5645 Rhode Island 1,632 +/-27946 Massachusetts 1,611 +/-10047 Delaware 1,598 +/-26748 Connecticut 1,532 +/-13649 Vermont 1,527 +/-28450 Oregon 1,522 +/-11351 District of Columbia 1,492 +/-281

Puerto Rico 1,266 +/-126

Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability isrepresented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpretedroughly as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin oferror (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject tononsampling error (for a discussion of nonsampling variability, see Accuracy of the Data). The effect of nonsampling error is not represented in thesetables.

The total fertility rate (TFR) estimates the number of children a group of 1,000 women would have by the end of their childbearing years if they allexperienced the same age-specific birth rates between ages 15-50 in a given year. This rate is used for comparisons among different populationgroups--for example, women in different geographical areas--as the rate accounts for differences in the age distribution in those areas. For example, ifthe estimate is 1800, divide by 1000 to get the average number of children (1.8) that would be born to a woman over her lifetime in a particulargeography.

While the 2016 American Community Survey (ACS) data generally reflect the February 2013 Office of Management and Budget (OMB) definitions ofmetropolitan and micropolitan statistical areas; in certain instances the names, codes, and boundaries of the principal cities shown in ACS tables maydiffer from the OMB definitions due to differences in the effective dates of the geographic entities.

Estimates of urban and rural population, housing units, and characteristics reflect boundaries of urban areas defined based on Census 2010 data. Asa result, data for urban and rural areas from the ACS do not necessarily reflect the results of ongoing urbanization.

Source: U.S. Census Bureau, 2016 American Community Survey 1-Year Estimates

Explanation of Symbols:

1. An '**' entry in the margin of error column indicates that either no sample observations or too few sample observations were available tocompute a standard error and thus the margin of error. A statistical test is not appropriate. 2. An '-' entry in the estimate column indicates that either no sample observations or too few sample observations were available to compute anestimate, or a ratio of medians cannot be calculated because one or both of the median estimates falls in the lowest interval or upper interval of anopen-ended distribution. 3. An '-' following a median estimate means the median falls in the lowest interval of an open-ended distribution. 4. An '+' following a median estimate means the median falls in the upper interval of an open-ended distribution. 5. An '***' entry in the margin of error column indicates that the median falls in the lowest interval or upper interval of an open-ended distribution. Astatistical test is not appropriate. 6. An '*****' entry in the margin of error column indicates that the estimate is controlled. A statistical test for sampling variability is not appropriate. 7. An 'N' entry in the estimate and margin of error columns indicates that data for this geographic area cannot be displayed because the number ofsample cases is too small. 8. An '(X)' means that the estimate is not applicable or not available.

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R1501 PERCENT OF PEOPLE 25 YEARS AND OVER WHO HAVE COMPLETED HIGH SCHOOL (INCLUDESEQUIVALENCY) - United States -- States; and Puerto RicoUniverse: Population 25 years and over2016 American Community Survey 1-Year Estimates

Supporting documentation on code lists, subject definitions, data accuracy, and statistical testing can be found on the American Community Surveywebsite in the Data and Documentation section.

Sample size and data quality measures (including coverage rates, allocation rates, and response rates) can be found on the American CommunitySurvey website in the Methodology section.

Tell us what you think. Provide feedback to help make American Community Survey data more useful for you.

Although the American Community Survey (ACS) produces population, demographic and housing unit estimates, it is the Census Bureau's PopulationEstimates Program that produces and disseminates the official estimates of the population for the nation, states, counties, cities and towns andestimates of housing units for states and counties.

To view this table with statistical significance, select With Statistical Significance in the Action menu.A # next to a geography indicates when an estimate is not statistically significant from the estimate for the selected geography.The ## indicates the selected geography.

Rank Geographical Area Percent Margin of ErrorUnited States 87.5 +/-0.1

1 Wyoming 93.2 +/-0.72 Alaska 93.1 +/-0.53 Minnesota 92.9 +/-0.24 Montana 92.8 +/-0.54 New Hampshire 92.8 +/-0.56 North Dakota 92.4 +/-0.77 Maine 92.3 +/-0.58 Vermont 92.1 +/-0.79 Hawaii 92.0 +/-0.610 Wisconsin 91.9 +/-0.211 Iowa 91.8 +/-0.312 Utah 91.7 +/-0.413 Colorado 91.4 +/-0.214 South Dakota 91.2 +/-0.515 Nebraska 90.9 +/-0.416 Washington 90.8 +/-0.317 Connecticut 90.5 +/-0.317 District of Columbia 90.5 +/-0.817 Kansas 90.5 +/-0.320 Idaho 90.4 +/-0.620 Massachusetts 90.4 +/-0.320 Michigan 90.4 +/-0.223 Oregon 90.3 +/-0.324 Maryland 90.1 +/-0.324 Pennsylvania 90.1 +/-0.226 Ohio 90.0 +/-0.227 Missouri 89.6 +/-0.228 Delaware 89.3 +/-0.7

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Rank Geographical Area Percent Margin of Error28 New Jersey 89.3 +/-0.228 Virginia 89.3 +/-0.231 Illinois 88.8 +/-0.232 Rhode Island 88.5 +/-0.633 Indiana 88.4 +/-0.334 Oklahoma 87.8 +/-0.335 Florida 87.4 +/-0.236 North Carolina 87.3 +/-0.237 Tennessee 87.0 +/-0.338 Arizona 86.7 +/-0.339 South Carolina 86.6 +/-0.440 Georgia 86.4 +/-0.341 New York 86.3 +/-0.242 Arkansas 86.0 +/-0.442 Nevada 86.0 +/-0.442 West Virginia 86.0 +/-0.645 Kentucky 85.7 +/-0.446 New Mexico 85.4 +/-0.647 Alabama 85.1 +/-0.448 Louisiana 84.4 +/-0.449 Mississippi 84.1 +/-0.450 Texas 82.9 +/-0.251 California 82.4 +/-0.1

Puerto Rico 75.6 +/-0.5

Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability isrepresented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpretedroughly as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin oferror (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject tononsampling error (for a discussion of nonsampling variability, see Accuracy of the Data). The effect of nonsampling error is not represented in thesetables.

While the 2016 American Community Survey (ACS) data generally reflect the February 2013 Office of Management and Budget (OMB) definitions ofmetropolitan and micropolitan statistical areas; in certain instances the names, codes, and boundaries of the principal cities shown in ACS tables maydiffer from the OMB definitions due to differences in the effective dates of the geographic entities.

Estimates of urban and rural population, housing units, and characteristics reflect boundaries of urban areas defined based on Census 2010 data. Asa result, data for urban and rural areas from the ACS do not necessarily reflect the results of ongoing urbanization.

Source: U.S. Census Bureau, 2016 American Community Survey 1-Year Estimates

Explanation of Symbols:

1. An '**' entry in the margin of error column indicates that either no sample observations or too few sample observations were available tocompute a standard error and thus the margin of error. A statistical test is not appropriate. 2. An '-' entry in the estimate column indicates that either no sample observations or too few sample observations were available to compute anestimate, or a ratio of medians cannot be calculated because one or both of the median estimates falls in the lowest interval or upper interval of anopen-ended distribution. 3. An '-' following a median estimate means the median falls in the lowest interval of an open-ended distribution. 4. An '+' following a median estimate means the median falls in the upper interval of an open-ended distribution. 5. An '***' entry in the margin of error column indicates that the median falls in the lowest interval or upper interval of an open-ended distribution. Astatistical test is not appropriate. 6. An '*****' entry in the margin of error column indicates that the estimate is controlled. A statistical test for sampling variability is not appropriate. 7. An 'N' entry in the estimate and margin of error columns indicates that data for this geographic area cannot be displayed because the number ofsample cases is too small. 8. An '(X)' means that the estimate is not applicable or not available.

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R1502 PERCENT OF PEOPLE 25 YEARS AND OVER WHO HAVE COMPLETED A BACHELOR'S DEGREE -United States -- States; and Puerto RicoUniverse: Population 25 years and over2016 American Community Survey 1-Year Estimates

Supporting documentation on code lists, subject definitions, data accuracy, and statistical testing can be found on the American Community Surveywebsite in the Data and Documentation section.

Sample size and data quality measures (including coverage rates, allocation rates, and response rates) can be found on the American CommunitySurvey website in the Methodology section.

Tell us what you think. Provide feedback to help make American Community Survey data more useful for you.

Although the American Community Survey (ACS) produces population, demographic and housing unit estimates, it is the Census Bureau's PopulationEstimates Program that produces and disseminates the official estimates of the population for the nation, states, counties, cities and towns andestimates of housing units for states and counties.

To view this table with statistical significance, select With Statistical Significance in the Action menu.A # next to a geography indicates when an estimate is not statistically significant from the estimate for the selected geography.The ## indicates the selected geography.

Rank Geographical Area Percent Margin of ErrorUnited States 31.3 +/-0.1

1 District of Columbia 56.8 +/-1.12 Massachusetts 42.7 +/-0.33 Colorado 39.9 +/-0.44 Maryland 39.3 +/-0.45 Connecticut 38.6 +/-0.45 New Jersey 38.6 +/-0.37 Virginia 38.1 +/-0.48 New Hampshire 36.6 +/-0.89 Vermont 36.4 +/-1.110 New York 35.7 +/-0.211 Washington 35.1 +/-0.312 Minnesota 34.8 +/-0.313 Rhode Island 34.1 +/-1.014 Illinois 34.0 +/-0.215 California 32.9 +/-0.116 Kansas 32.8 +/-0.517 Oregon 32.7 +/-0.518 Utah 32.6 +/-0.619 Hawaii 31.9 +/-0.720 Nebraska 31.4 +/-0.621 Delaware 31.0 +/-1.021 Montana 31.0 +/-0.823 Pennsylvania 30.8 +/-0.224 Georgia 30.5 +/-0.325 North Carolina 30.4 +/-0.326 Maine 30.1 +/-0.827 Alaska 29.6 +/-1.127 North Dakota 29.6 +/-1.0

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Rank Geographical Area Percent Margin of Error29 Wisconsin 29.5 +/-0.330 Arizona 28.9 +/-0.430 South Dakota 28.9 +/-0.930 Texas 28.9 +/-0.233 Florida 28.6 +/-0.234 Missouri 28.5 +/-0.335 Iowa 28.4 +/-0.536 Michigan 28.3 +/-0.337 Idaho 27.6 +/-0.838 Ohio 27.5 +/-0.339 New Mexico 27.2 +/-0.639 South Carolina 27.2 +/-0.541 Wyoming 27.1 +/-1.242 Tennessee 26.1 +/-0.443 Indiana 25.6 +/-0.344 Oklahoma 25.2 +/-0.445 Alabama 24.7 +/-0.446 Nevada 23.5 +/-0.647 Kentucky 23.4 +/-0.447 Louisiana 23.4 +/-0.449 Arkansas 22.4 +/-0.550 Mississippi 21.8 +/-0.651 West Virginia 20.8 +/-0.7

Puerto Rico 25.3 +/-0.6

Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability isrepresented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpretedroughly as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin oferror (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject tononsampling error (for a discussion of nonsampling variability, see Accuracy of the Data). The effect of nonsampling error is not represented in thesetables.

While the 2016 American Community Survey (ACS) data generally reflect the February 2013 Office of Management and Budget (OMB) definitions ofmetropolitan and micropolitan statistical areas; in certain instances the names, codes, and boundaries of the principal cities shown in ACS tables maydiffer from the OMB definitions due to differences in the effective dates of the geographic entities.

Estimates of urban and rural population, housing units, and characteristics reflect boundaries of urban areas defined based on Census 2010 data. Asa result, data for urban and rural areas from the ACS do not necessarily reflect the results of ongoing urbanization.

Source: U.S. Census Bureau, 2016 American Community Survey 1-Year Estimates

Explanation of Symbols:

1. An '**' entry in the margin of error column indicates that either no sample observations or too few sample observations were available tocompute a standard error and thus the margin of error. A statistical test is not appropriate. 2. An '-' entry in the estimate column indicates that either no sample observations or too few sample observations were available to compute anestimate, or a ratio of medians cannot be calculated because one or both of the median estimates falls in the lowest interval or upper interval of anopen-ended distribution. 3. An '-' following a median estimate means the median falls in the lowest interval of an open-ended distribution. 4. An '+' following a median estimate means the median falls in the upper interval of an open-ended distribution. 5. An '***' entry in the margin of error column indicates that the median falls in the lowest interval or upper interval of an open-ended distribution. Astatistical test is not appropriate. 6. An '*****' entry in the margin of error column indicates that the estimate is controlled. A statistical test for sampling variability is not appropriate. 7. An 'N' entry in the estimate and margin of error columns indicates that data for this geographic area cannot be displayed because the number ofsample cases is too small. 8. An '(X)' means that the estimate is not applicable or not available.

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R1503 PERCENT OF PEOPLE 25 YEARS AND OVER WHO HAVE COMPLETED AN ADVANCED DEGREE -United States -- States; and Puerto RicoUniverse: Population 25 years and over2016 American Community Survey 1-Year Estimates

Supporting documentation on code lists, subject definitions, data accuracy, and statistical testing can be found on the American Community Surveywebsite in the Data and Documentation section.

Sample size and data quality measures (including coverage rates, allocation rates, and response rates) can be found on the American CommunitySurvey website in the Methodology section.

Tell us what you think. Provide feedback to help make American Community Survey data more useful for you.

Although the American Community Survey (ACS) produces population, demographic and housing unit estimates, it is the Census Bureau's PopulationEstimates Program that produces and disseminates the official estimates of the population for the nation, states, counties, cities and towns andestimates of housing units for states and counties.

To view this table with statistical significance, select With Statistical Significance in the Action menu.A # next to a geography indicates when an estimate is not statistically significant from the estimate for the selected geography.The ## indicates the selected geography.

Rank Geographical Area Percent Margin of ErrorUnited States 11.9 +/-0.1

1 District of Columbia 32.9 +/-0.92 Massachusetts 19.0 +/-0.33 Maryland 18.5 +/-0.34 Connecticut 16.7 +/-0.45 Virginia 16.4 +/-0.26 New York 15.5 +/-0.27 Vermont 15.2 +/-0.78 Colorado 14.9 +/-0.38 New Jersey 14.9 +/-0.210 New Hampshire 14.1 +/-0.611 Rhode Island 13.5 +/-0.712 Washington 13.2 +/-0.313 Illinois 13.0 +/-0.214 Oregon 12.7 +/-0.315 Delaware 12.6 +/-0.716 California 12.3 +/-0.117 Kansas 12.2 +/-0.318 Pennsylvania 12.0 +/-0.219 Georgia 11.7 +/-0.219 Minnesota 11.7 +/-0.219 New Mexico 11.7 +/-0.422 Maine 11.3 +/-0.523 Utah 11.2 +/-0.424 Michigan 11.1 +/-0.225 Arizona 10.8 +/-0.225 Missouri 10.8 +/-0.325 North Carolina 10.8 +/-0.228 Alaska 10.6 +/-0.7

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Rank Geographical Area Percent Margin of Error28 Hawaii 10.6 +/-0.530 Florida 10.4 +/-0.130 Nebraska 10.4 +/-0.432 Ohio 10.3 +/-0.233 Wisconsin 10.2 +/-0.234 Montana 10.1 +/-0.635 Texas 10.0 +/-0.136 South Carolina 9.8 +/-0.337 Wyoming 9.7 +/-0.838 Kentucky 9.5 +/-0.339 Alabama 9.4 +/-0.239 Tennessee 9.4 +/-0.241 Indiana 9.3 +/-0.241 Iowa 9.3 +/-0.343 South Dakota 9.2 +/-0.644 Idaho 8.9 +/-0.545 Oklahoma 8.4 +/-0.246 Arkansas 8.2 +/-0.346 Louisiana 8.2 +/-0.346 Mississippi 8.2 +/-0.446 West Virginia 8.2 +/-0.550 Nevada 8.1 +/-0.351 North Dakota 7.8 +/-0.6

Puerto Rico 7.0 +/-0.3

Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability isrepresented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpretedroughly as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin oferror (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject tononsampling error (for a discussion of nonsampling variability, see Accuracy of the Data). The effect of nonsampling error is not represented in thesetables.

While the 2016 American Community Survey (ACS) data generally reflect the February 2013 Office of Management and Budget (OMB) definitions ofmetropolitan and micropolitan statistical areas; in certain instances the names, codes, and boundaries of the principal cities shown in ACS tables maydiffer from the OMB definitions due to differences in the effective dates of the geographic entities.

Estimates of urban and rural population, housing units, and characteristics reflect boundaries of urban areas defined based on Census 2010 data. Asa result, data for urban and rural areas from the ACS do not necessarily reflect the results of ongoing urbanization.

Source: U.S. Census Bureau, 2016 American Community Survey 1-Year Estimates

Explanation of Symbols:

1. An '**' entry in the margin of error column indicates that either no sample observations or too few sample observations were available tocompute a standard error and thus the margin of error. A statistical test is not appropriate. 2. An '-' entry in the estimate column indicates that either no sample observations or too few sample observations were available to compute anestimate, or a ratio of medians cannot be calculated because one or both of the median estimates falls in the lowest interval or upper interval of anopen-ended distribution. 3. An '-' following a median estimate means the median falls in the lowest interval of an open-ended distribution. 4. An '+' following a median estimate means the median falls in the upper interval of an open-ended distribution. 5. An '***' entry in the margin of error column indicates that the median falls in the lowest interval or upper interval of an open-ended distribution. Astatistical test is not appropriate. 6. An '*****' entry in the margin of error column indicates that the estimate is controlled. A statistical test for sampling variability is not appropriate. 7. An 'N' entry in the estimate and margin of error columns indicates that data for this geographic area cannot be displayed because the number ofsample cases is too small. 8. An '(X)' means that the estimate is not applicable or not available.

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R1601 PERCENT OF PEOPLE 5 YEARS AND OVER WHO SPEAK A LANGUAGE OTHER THAN ENGLISH ATHOME - United States -- States; and Puerto RicoUniverse: Population 5 years and over2016 American Community Survey 1-Year Estimates

Supporting documentation on code lists, subject definitions, data accuracy, and statistical testing can be found on the American Community Surveywebsite in the Data and Documentation section.

Sample size and data quality measures (including coverage rates, allocation rates, and response rates) can be found on the American CommunitySurvey website in the Methodology section.

Tell us what you think. Provide feedback to help make American Community Survey data more useful for you.

Although the American Community Survey (ACS) produces population, demographic and housing unit estimates, it is the Census Bureau's PopulationEstimates Program that produces and disseminates the official estimates of the population for the nation, states, counties, cities and towns andestimates of housing units for states and counties.

To view this table with statistical significance, select With Statistical Significance in the Action menu.A # next to a geography indicates when an estimate is not statistically significant from the estimate for the selected geography.The ## indicates the selected geography.

Rank Geographical Area Percent Margin of ErrorUnited States 21.6 +/-0.1

1 California 44.6 +/-0.22 Texas 35.6 +/-0.23 New Mexico 34.5 +/-0.74 New Jersey 31.7 +/-0.35 New York 31.0 +/-0.26 Nevada 30.7 +/-0.57 Florida 28.8 +/-0.28 Arizona 27.1 +/-0.49 Hawaii 26.5 +/-1.010 Massachusetts 23.7 +/-0.311 Illinois 22.9 +/-0.212 Rhode Island 22.8 +/-0.913 Connecticut 22.7 +/-0.414 Washington 19.3 +/-0.315 Maryland 18.9 +/-0.316 Colorado 17.1 +/-0.316 District of Columbia 17.1 +/-0.818 Alaska 16.5 +/-0.819 Virginia 16.2 +/-0.220 Utah 15.3 +/-0.421 Oregon 15.2 +/-0.422 Georgia 14.0 +/-0.223 Delaware 12.9 +/-0.724 Kansas 11.7 +/-0.425 Minnesota 11.6 +/-0.326 Nebraska 11.5 +/-0.326 North Carolina 11.5 +/-0.228 Pennsylvania 11.3 +/-0.2

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Rank Geographical Area Percent Margin of Error29 Idaho 10.8 +/-0.430 Oklahoma 10.3 +/-0.231 Michigan 9.5 +/-0.232 Wisconsin 8.8 +/-0.233 Indiana 8.7 +/-0.234 Louisiana 8.1 +/-0.235 Iowa 7.7 +/-0.235 New Hampshire 7.7 +/-0.437 Wyoming 7.6 +/-0.838 Arkansas 7.3 +/-0.239 Ohio 7.0 +/-0.139 Tennessee 7.0 +/-0.241 South Carolina 6.8 +/-0.242 South Dakota 6.5 +/-0.543 Missouri 6.3 +/-0.244 Maine 6.2 +/-0.445 Vermont 5.5 +/-0.546 Kentucky 5.2 +/-0.246 North Dakota 5.2 +/-0.548 Alabama 5.1 +/-0.249 Mississippi 3.8 +/-0.250 Montana 3.7 +/-0.451 West Virginia 2.5 +/-0.2

Puerto Rico 94.3 +/-0.4

Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability isrepresented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpretedroughly as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin oferror (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject tononsampling error (for a discussion of nonsampling variability, see Accuracy of the Data). The effect of nonsampling error is not represented in thesetables.

While the 2016 American Community Survey (ACS) data generally reflect the February 2013 Office of Management and Budget (OMB) definitions ofmetropolitan and micropolitan statistical areas; in certain instances the names, codes, and boundaries of the principal cities shown in ACS tables maydiffer from the OMB definitions due to differences in the effective dates of the geographic entities.

Estimates of urban and rural population, housing units, and characteristics reflect boundaries of urban areas defined based on Census 2010 data. Asa result, data for urban and rural areas from the ACS do not necessarily reflect the results of ongoing urbanization.

Source: U.S. Census Bureau, 2016 American Community Survey 1-Year Estimates

Explanation of Symbols:

1. An '**' entry in the margin of error column indicates that either no sample observations or too few sample observations were available tocompute a standard error and thus the margin of error. A statistical test is not appropriate. 2. An '-' entry in the estimate column indicates that either no sample observations or too few sample observations were available to compute anestimate, or a ratio of medians cannot be calculated because one or both of the median estimates falls in the lowest interval or upper interval of anopen-ended distribution. 3. An '-' following a median estimate means the median falls in the lowest interval of an open-ended distribution. 4. An '+' following a median estimate means the median falls in the upper interval of an open-ended distribution. 5. An '***' entry in the margin of error column indicates that the median falls in the lowest interval or upper interval of an open-ended distribution. Astatistical test is not appropriate. 6. An '*****' entry in the margin of error column indicates that the estimate is controlled. A statistical test for sampling variability is not appropriate. 7. An 'N' entry in the estimate and margin of error columns indicates that data for this geographic area cannot be displayed because the number ofsample cases is too small. 8. An '(X)' means that the estimate is not applicable or not available.

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R1602 PERCENT OF PEOPLE 5 YEARS AND OVER WHO SPEAK SPANISH AT HOME - United States --States; and Puerto RicoUniverse: Population 5 years and over2016 American Community Survey 1-Year Estimates

Supporting documentation on code lists, subject definitions, data accuracy, and statistical testing can be found on the American Community Surveywebsite in the Data and Documentation section.

Sample size and data quality measures (including coverage rates, allocation rates, and response rates) can be found on the American CommunitySurvey website in the Methodology section.

Tell us what you think. Provide feedback to help make American Community Survey data more useful for you.

Although the American Community Survey (ACS) produces population, demographic and housing unit estimates, it is the Census Bureau's PopulationEstimates Program that produces and disseminates the official estimates of the population for the nation, states, counties, cities and towns andestimates of housing units for states and counties.

To view this table with statistical significance, select With Statistical Significance in the Action menu.A # next to a geography indicates when an estimate is not statistically significant from the estimate for the selected geography.The ## indicates the selected geography.

Rank Geographical Area Percent Margin of ErrorUnited States 13.3 +/-0.1

1 Texas 29.6 +/-0.12 California 29.0 +/-0.13 New Mexico 26.8 +/-0.64 Nevada 21.8 +/-0.45 Florida 21.3 +/-0.16 Arizona 20.4 +/-0.37 New Jersey 16.5 +/-0.28 New York 15.2 +/-0.19 Illinois 13.5 +/-0.110 Colorado 12.0 +/-0.310 Rhode Island 12.0 +/-0.412 Connecticut 11.9 +/-0.213 Utah 10.4 +/-0.314 District of Columbia 9.2 +/-0.415 Massachusetts 9.0 +/-0.215 Oregon 9.0 +/-0.317 Washington 8.5 +/-0.218 Maryland 8.3 +/-0.119 Idaho 8.1 +/-0.320 Georgia 8.0 +/-0.121 Kansas 7.8 +/-0.322 Nebraska 7.7 +/-0.323 North Carolina 7.4 +/-0.124 Virginia 7.2 +/-0.125 Delaware 7.1 +/-0.426 Oklahoma 7.0 +/-0.227 Arkansas 5.2 +/-0.228 Wyoming 5.0 +/-0.6

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Rank Geographical Area Percent Margin of Error29 Indiana 4.9 +/-0.129 Pennsylvania 4.9 +/-0.131 Wisconsin 4.6 +/-0.132 South Carolina 4.4 +/-0.133 Tennessee 4.2 +/-0.134 Iowa 4.0 +/-0.135 Minnesota 3.9 +/-0.136 Louisiana 3.8 +/-0.237 Alaska 3.7 +/-0.538 Alabama 3.2 +/-0.139 Michigan 3.0 +/-0.140 Kentucky 2.6 +/-0.140 Missouri 2.6 +/-0.142 Mississippi 2.4 +/-0.143 Hawaii 2.2 +/-0.343 New Hampshire 2.2 +/-0.243 Ohio 2.2 +/-0.146 South Dakota 2.1 +/-0.247 North Dakota 1.8 +/-0.348 Montana 1.2 +/-0.249 West Virginia 1.1 +/-0.150 Maine 0.9 +/-0.150 Vermont 0.9 +/-0.2

Puerto Rico 94.2 +/-0.4

Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability isrepresented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpretedroughly as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin oferror (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject tononsampling error (for a discussion of nonsampling variability, see Accuracy of the Data). The effect of nonsampling error is not represented in thesetables.

While the 2016 American Community Survey (ACS) data generally reflect the February 2013 Office of Management and Budget (OMB) definitions ofmetropolitan and micropolitan statistical areas; in certain instances the names, codes, and boundaries of the principal cities shown in ACS tables maydiffer from the OMB definitions due to differences in the effective dates of the geographic entities.

Estimates of urban and rural population, housing units, and characteristics reflect boundaries of urban areas defined based on Census 2010 data. Asa result, data for urban and rural areas from the ACS do not necessarily reflect the results of ongoing urbanization.

Source: U.S. Census Bureau, 2016 American Community Survey 1-Year Estimates

Explanation of Symbols:

1. An '**' entry in the margin of error column indicates that either no sample observations or too few sample observations were available tocompute a standard error and thus the margin of error. A statistical test is not appropriate. 2. An '-' entry in the estimate column indicates that either no sample observations or too few sample observations were available to compute anestimate, or a ratio of medians cannot be calculated because one or both of the median estimates falls in the lowest interval or upper interval of anopen-ended distribution. 3. An '-' following a median estimate means the median falls in the lowest interval of an open-ended distribution. 4. An '+' following a median estimate means the median falls in the upper interval of an open-ended distribution. 5. An '***' entry in the margin of error column indicates that the median falls in the lowest interval or upper interval of an open-ended distribution. Astatistical test is not appropriate. 6. An '*****' entry in the margin of error column indicates that the estimate is controlled. A statistical test for sampling variability is not appropriate. 7. An 'N' entry in the estimate and margin of error columns indicates that data for this geographic area cannot be displayed because the number ofsample cases is too small. 8. An '(X)' means that the estimate is not applicable or not available.

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R1603 PERCENT OF PEOPLE 5 YEARS AND OVER WHO SPEAK ENGLISH LESS THAN "VERY WELL" -United States -- States; and Puerto RicoUniverse: Population 5 years and over2016 American Community Survey 1-Year Estimates

Supporting documentation on code lists, subject definitions, data accuracy, and statistical testing can be found on the American Community Surveywebsite in the Data and Documentation section.

Sample size and data quality measures (including coverage rates, allocation rates, and response rates) can be found on the American CommunitySurvey website in the Methodology section.

Tell us what you think. Provide feedback to help make American Community Survey data more useful for you.

Although the American Community Survey (ACS) produces population, demographic and housing unit estimates, it is the Census Bureau's PopulationEstimates Program that produces and disseminates the official estimates of the population for the nation, states, counties, cities and towns andestimates of housing units for states and counties.

To view this table with statistical significance, select With Statistical Significance in the Action menu.A # next to a geography indicates when an estimate is not statistically significant from the estimate for the selected geography.The ## indicates the selected geography.

Rank Geographical Area Percent Margin of ErrorUnited States 8.6 +/-0.1

1 California 18.6 +/-0.12 Texas 14.0 +/-0.23 New York 13.7 +/-0.24 New Jersey 12.6 +/-0.25 Hawaii 12.2 +/-0.76 Florida 12.0 +/-0.27 Nevada 11.8 +/-0.48 Massachusetts 9.2 +/-0.29 Arizona 8.8 +/-0.210 Illinois 8.7 +/-0.111 Rhode Island 8.4 +/-0.512 New Mexico 8.3 +/-0.513 Connecticut 7.9 +/-0.314 Washington 7.7 +/-0.215 Maryland 7.0 +/-0.216 Colorado 6.1 +/-0.216 District of Columbia 6.1 +/-0.618 Virginia 6.0 +/-0.119 Oregon 5.9 +/-0.220 Georgia 5.7 +/-0.121 Nebraska 5.4 +/-0.322 Alaska 5.3 +/-0.523 Utah 4.9 +/-0.324 Delaware 4.6 +/-0.424 Kansas 4.6 +/-0.224 Minnesota 4.6 +/-0.227 North Carolina 4.5 +/-0.128 Pennsylvania 4.3 +/-0.1

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Rank Geographical Area Percent Margin of Error29 Idaho 4.2 +/-0.330 Oklahoma 4.0 +/-0.231 Michigan 3.5 +/-0.132 Iowa 3.4 +/-0.233 Indiana 3.3 +/-0.134 Wisconsin 3.2 +/-0.135 Arkansas 3.1 +/-0.236 Tennessee 2.9 +/-0.137 Louisiana 2.8 +/-0.238 South Carolina 2.7 +/-0.239 New Hampshire 2.5 +/-0.339 Ohio 2.5 +/-0.141 South Dakota 2.3 +/-0.342 Missouri 2.2 +/-0.143 Alabama 2.1 +/-0.143 Kentucky 2.1 +/-0.145 Wyoming 2.0 +/-0.446 North Dakota 1.8 +/-0.347 Maine 1.7 +/-0.248 Mississippi 1.4 +/-0.149 Vermont 1.3 +/-0.250 West Virginia 0.8 +/-0.151 Montana 0.7 +/-0.1

Puerto Rico 76.3 +/-0.5

Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability isrepresented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpretedroughly as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin oferror (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject tononsampling error (for a discussion of nonsampling variability, see Accuracy of the Data). The effect of nonsampling error is not represented in thesetables.

While the 2016 American Community Survey (ACS) data generally reflect the February 2013 Office of Management and Budget (OMB) definitions ofmetropolitan and micropolitan statistical areas; in certain instances the names, codes, and boundaries of the principal cities shown in ACS tables maydiffer from the OMB definitions due to differences in the effective dates of the geographic entities.

Estimates of urban and rural population, housing units, and characteristics reflect boundaries of urban areas defined based on Census 2010 data. Asa result, data for urban and rural areas from the ACS do not necessarily reflect the results of ongoing urbanization.

Source: U.S. Census Bureau, 2016 American Community Survey 1-Year Estimates

Explanation of Symbols:

1. An '**' entry in the margin of error column indicates that either no sample observations or too few sample observations were available tocompute a standard error and thus the margin of error. A statistical test is not appropriate. 2. An '-' entry in the estimate column indicates that either no sample observations or too few sample observations were available to compute anestimate, or a ratio of medians cannot be calculated because one or both of the median estimates falls in the lowest interval or upper interval of anopen-ended distribution. 3. An '-' following a median estimate means the median falls in the lowest interval of an open-ended distribution. 4. An '+' following a median estimate means the median falls in the upper interval of an open-ended distribution. 5. An '***' entry in the margin of error column indicates that the median falls in the lowest interval or upper interval of an open-ended distribution. Astatistical test is not appropriate. 6. An '*****' entry in the margin of error column indicates that the estimate is controlled. A statistical test for sampling variability is not appropriate. 7. An 'N' entry in the estimate and margin of error columns indicates that data for this geographic area cannot be displayed because the number ofsample cases is too small. 8. An '(X)' means that the estimate is not applicable or not available.

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R1701 PERCENT OF PEOPLE BELOW POVERTY LEVEL IN THE PAST 12 MONTHS (FOR WHOM POVERTYSTATUS IS DETERMINED) - United States -- States; and Puerto RicoUniverse: Population for whom poverty status is determined2016 American Community Survey 1-Year Estimates

Supporting documentation on code lists, subject definitions, data accuracy, and statistical testing can be found on the American Community Surveywebsite in the Data and Documentation section.

Sample size and data quality measures (including coverage rates, allocation rates, and response rates) can be found on the American CommunitySurvey website in the Methodology section.

Tell us what you think. Provide feedback to help make American Community Survey data more useful for you.

Although the American Community Survey (ACS) produces population, demographic and housing unit estimates, it is the Census Bureau's PopulationEstimates Program that produces and disseminates the official estimates of the population for the nation, states, counties, cities and towns andestimates of housing units for states and counties.

To view this table with statistical significance, select With Statistical Significance in the Action menu.A # next to a geography indicates when an estimate is not statistically significant from the estimate for the selected geography.The ## indicates the selected geography.

Rank Geographical Area Percent Margin of ErrorUnited States 14.0 +/-0.1

1 Mississippi 20.8 +/-0.72 Louisiana 20.2 +/-0.63 New Mexico 19.8 +/-0.84 District of Columbia 18.6 +/-1.45 Kentucky 18.5 +/-0.66 West Virginia 17.9 +/-0.87 Arkansas 17.2 +/-0.68 Alabama 17.1 +/-0.59 Arizona 16.4 +/-0.410 Oklahoma 16.3 +/-0.411 Georgia 16.0 +/-0.312 Tennessee 15.8 +/-0.413 Texas 15.6 +/-0.214 North Carolina 15.4 +/-0.315 South Carolina 15.3 +/-0.516 Michigan 15.0 +/-0.217 Florida 14.7 +/-0.217 New York 14.7 +/-0.219 Ohio 14.6 +/-0.320 Idaho 14.4 +/-1.021 California 14.3 +/-0.222 Indiana 14.1 +/-0.423 Missouri 14.0 +/-0.424 Nevada 13.8 +/-0.625 Montana 13.3 +/-0.825 Oregon 13.3 +/-0.425 South Dakota 13.3 +/-0.828 Illinois 13.0 +/-0.3

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Rank Geographical Area Percent Margin of Error29 Pennsylvania 12.9 +/-0.230 Rhode Island 12.8 +/-0.931 Maine 12.5 +/-0.832 Kansas 12.1 +/-0.533 Vermont 11.9 +/-0.934 Iowa 11.8 +/-0.434 Wisconsin 11.8 +/-0.436 Delaware 11.7 +/-0.937 Nebraska 11.4 +/-0.638 Washington 11.3 +/-0.338 Wyoming 11.3 +/-1.040 Colorado 11.0 +/-0.340 Virginia 11.0 +/-0.342 North Dakota 10.7 +/-0.843 Massachusetts 10.4 +/-0.343 New Jersey 10.4 +/-0.345 Utah 10.2 +/-0.546 Alaska 9.9 +/-0.946 Minnesota 9.9 +/-0.348 Connecticut 9.8 +/-0.449 Maryland 9.7 +/-0.350 Hawaii 9.3 +/-0.751 New Hampshire 7.3 +/-0.6

Puerto Rico 43.5 +/-0.8

Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability isrepresented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpretedroughly as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin oferror (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject tononsampling error (for a discussion of nonsampling variability, see Accuracy of the Data). The effect of nonsampling error is not represented in thesetables.

While the 2016 American Community Survey (ACS) data generally reflect the February 2013 Office of Management and Budget (OMB) definitions ofmetropolitan and micropolitan statistical areas; in certain instances the names, codes, and boundaries of the principal cities shown in ACS tables maydiffer from the OMB definitions due to differences in the effective dates of the geographic entities.

Estimates of urban and rural population, housing units, and characteristics reflect boundaries of urban areas defined based on Census 2010 data. Asa result, data for urban and rural areas from the ACS do not necessarily reflect the results of ongoing urbanization.

Source: U.S. Census Bureau, 2016 American Community Survey 1-Year Estimates

Explanation of Symbols:

1. An '**' entry in the margin of error column indicates that either no sample observations or too few sample observations were available tocompute a standard error and thus the margin of error. A statistical test is not appropriate. 2. An '-' entry in the estimate column indicates that either no sample observations or too few sample observations were available to compute anestimate, or a ratio of medians cannot be calculated because one or both of the median estimates falls in the lowest interval or upper interval of anopen-ended distribution. 3. An '-' following a median estimate means the median falls in the lowest interval of an open-ended distribution. 4. An '+' following a median estimate means the median falls in the upper interval of an open-ended distribution. 5. An '***' entry in the margin of error column indicates that the median falls in the lowest interval or upper interval of an open-ended distribution. Astatistical test is not appropriate. 6. An '*****' entry in the margin of error column indicates that the estimate is controlled. A statistical test for sampling variability is not appropriate. 7. An 'N' entry in the estimate and margin of error columns indicates that data for this geographic area cannot be displayed because the number ofsample cases is too small. 8. An '(X)' means that the estimate is not applicable or not available.

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R1702 PERCENT OF RELATED CHILDREN UNDER 18 YEARS BELOW POVERTY LEVEL IN THE PAST 12MONTHS - United States -- States; and Puerto RicoUniverse: Related children under 18 years2016 American Community Survey 1-Year Estimates

Supporting documentation on code lists, subject definitions, data accuracy, and statistical testing can be found on the American Community Surveywebsite in the Data and Documentation section.

Sample size and data quality measures (including coverage rates, allocation rates, and response rates) can be found on the American CommunitySurvey website in the Methodology section.

Tell us what you think. Provide feedback to help make American Community Survey data more useful for you.

Although the American Community Survey (ACS) produces population, demographic and housing unit estimates, it is the Census Bureau's PopulationEstimates Program that produces and disseminates the official estimates of the population for the nation, states, counties, cities and towns andestimates of housing units for states and counties.

To view this table with statistical significance, select With Statistical Significance in the Action menu.A # next to a geography indicates when an estimate is not statistically significant from the estimate for the selected geography.The ## indicates the selected geography.

Rank Geographical Area Percent Margin of ErrorUnited States 19.1 +/-0.2

1 New Mexico 29.9 +/-1.82 Mississippi 29.4 +/-1.63 Louisiana 28.4 +/-1.34 District of Columbia 25.5 +/-3.95 Kentucky 24.5 +/-1.26 Alabama 24.3 +/-1.27 West Virginia 23.6 +/-1.88 Arkansas 23.5 +/-1.39 Arizona 23.3 +/-0.810 South Carolina 22.7 +/-1.111 Georgia 22.6 +/-0.811 Oklahoma 22.6 +/-0.913 Tennessee 22.4 +/-0.914 Texas 22.2 +/-0.415 North Carolina 21.3 +/-0.816 Florida 20.7 +/-0.617 New York 20.4 +/-0.518 Michigan 20.2 +/-0.619 Ohio 20.1 +/-0.720 California 19.6 +/-0.421 Indiana 19.1 +/-0.922 Missouri 18.6 +/-0.922 Nevada 18.6 +/-1.424 Pennsylvania 18.1 +/-0.625 Illinois 17.5 +/-0.626 Idaho 17.2 +/-1.827 Delaware 17.0 +/-2.528 Maine 16.6 +/-2.1

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Rank Geographical Area Percent Margin of Error29 South Dakota 16.5 +/-1.730 Rhode Island 16.3 +/-2.131 Oregon 16.2 +/-1.132 Wisconsin 15.3 +/-0.933 Montana 14.8 +/-1.834 Iowa 14.4 +/-1.034 Vermont 14.4 +/-2.636 New Jersey 14.3 +/-0.837 Nebraska 13.9 +/-1.337 Virginia 13.9 +/-0.739 Alaska 13.8 +/-2.239 Kansas 13.8 +/-1.041 Massachusetts 13.3 +/-0.642 Washington 13.2 +/-0.743 Colorado 13.1 +/-0.844 Connecticut 12.6 +/-1.145 Maryland 12.4 +/-0.646 Minnesota 12.3 +/-0.747 North Dakota 12.0 +/-1.648 Utah 10.8 +/-1.049 Wyoming 10.3 +/-1.850 Hawaii 9.7 +/-1.451 New Hampshire 7.4 +/-1.2

Puerto Rico 56.2 +/-1.6

Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability isrepresented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpretedroughly as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin oferror (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject tononsampling error (for a discussion of nonsampling variability, see Accuracy of the Data). The effect of nonsampling error is not represented in thesetables.

While the 2016 American Community Survey (ACS) data generally reflect the February 2013 Office of Management and Budget (OMB) definitions ofmetropolitan and micropolitan statistical areas; in certain instances the names, codes, and boundaries of the principal cities shown in ACS tables maydiffer from the OMB definitions due to differences in the effective dates of the geographic entities.

Estimates of urban and rural population, housing units, and characteristics reflect boundaries of urban areas defined based on Census 2010 data. Asa result, data for urban and rural areas from the ACS do not necessarily reflect the results of ongoing urbanization.

Source: U.S. Census Bureau, 2016 American Community Survey 1-Year Estimates

Explanation of Symbols:

1. An '**' entry in the margin of error column indicates that either no sample observations or too few sample observations were available tocompute a standard error and thus the margin of error. A statistical test is not appropriate. 2. An '-' entry in the estimate column indicates that either no sample observations or too few sample observations were available to compute anestimate, or a ratio of medians cannot be calculated because one or both of the median estimates falls in the lowest interval or upper interval of anopen-ended distribution. 3. An '-' following a median estimate means the median falls in the lowest interval of an open-ended distribution. 4. An '+' following a median estimate means the median falls in the upper interval of an open-ended distribution. 5. An '***' entry in the margin of error column indicates that the median falls in the lowest interval or upper interval of an open-ended distribution. Astatistical test is not appropriate. 6. An '*****' entry in the margin of error column indicates that the estimate is controlled. A statistical test for sampling variability is not appropriate. 7. An 'N' entry in the estimate and margin of error columns indicates that data for this geographic area cannot be displayed because the number ofsample cases is too small. 8. An '(X)' means that the estimate is not applicable or not available.

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R1703 PERCENT OF PEOPLE 65 YEARS AND OVER BELOW POVERTY LEVEL IN THE PAST 12 MONTHS -United States -- States; and Puerto RicoUniverse: Population 65 years and over for whom poverty status is determined2016 American Community Survey 1-Year Estimates

Supporting documentation on code lists, subject definitions, data accuracy, and statistical testing can be found on the American Community Surveywebsite in the Data and Documentation section.

Sample size and data quality measures (including coverage rates, allocation rates, and response rates) can be found on the American CommunitySurvey website in the Methodology section.

Tell us what you think. Provide feedback to help make American Community Survey data more useful for you.

Although the American Community Survey (ACS) produces population, demographic and housing unit estimates, it is the Census Bureau's PopulationEstimates Program that produces and disseminates the official estimates of the population for the nation, states, counties, cities and towns andestimates of housing units for states and counties.

To view this table with statistical significance, select With Statistical Significance in the Action menu.A # next to a geography indicates when an estimate is not statistically significant from the estimate for the selected geography.The ## indicates the selected geography.

Rank Geographical Area Percent Margin of ErrorUnited States 9.2 +/-0.1

1 District of Columbia 13.4 +/-1.92 Louisiana 13.0 +/-0.63 Mississippi 12.3 +/-0.74 New Mexico 11.5 +/-0.95 New York 11.4 +/-0.36 Kentucky 11.1 +/-0.67 South Dakota 10.9 +/-1.68 Arkansas 10.5 +/-0.88 Texas 10.5 +/-0.310 Florida 10.4 +/-0.311 California 10.3 +/-0.212 Georgia 10.1 +/-0.413 Alabama 10.0 +/-0.613 Idaho 10.0 +/-1.215 West Virginia 9.5 +/-0.916 North Carolina 9.4 +/-0.417 Illinois 9.2 +/-0.318 Maine 9.1 +/-1.018 Rhode Island 9.1 +/-1.320 Arizona 9.0 +/-0.421 Hawaii 8.9 +/-1.021 Montana 8.9 +/-1.021 Tennessee 8.9 +/-0.524 Nevada 8.7 +/-0.724 Vermont 8.7 +/-1.326 Oklahoma 8.6 +/-0.526 South Carolina 8.6 +/-0.428 Massachusetts 8.5 +/-0.4

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Rank Geographical Area Percent Margin of Error28 Wyoming 8.5 +/-1.730 New Jersey 8.3 +/-0.431 Maryland 8.2 +/-0.531 Missouri 8.2 +/-0.433 Michigan 8.1 +/-0.333 Ohio 8.1 +/-0.335 Kansas 8.0 +/-0.636 North Dakota 7.9 +/-1.437 Nebraska 7.8 +/-0.737 Pennsylvania 7.8 +/-0.337 Virginia 7.8 +/-0.440 Indiana 7.7 +/-0.441 Colorado 7.6 +/-0.541 Washington 7.6 +/-0.541 Wisconsin 7.6 +/-0.444 Oregon 7.5 +/-0.545 Minnesota 7.2 +/-0.446 Delaware 6.9 +/-1.046 Iowa 6.9 +/-0.548 Utah 6.7 +/-0.749 Connecticut 6.5 +/-0.550 New Hampshire 4.6 +/-0.751 Alaska 4.2 +/-1.0

Puerto Rico 38.1 +/-1.1

Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability isrepresented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpretedroughly as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin oferror (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject tononsampling error (for a discussion of nonsampling variability, see Accuracy of the Data). The effect of nonsampling error is not represented in thesetables.

While the 2016 American Community Survey (ACS) data generally reflect the February 2013 Office of Management and Budget (OMB) definitions ofmetropolitan and micropolitan statistical areas; in certain instances the names, codes, and boundaries of the principal cities shown in ACS tables maydiffer from the OMB definitions due to differences in the effective dates of the geographic entities.

Estimates of urban and rural population, housing units, and characteristics reflect boundaries of urban areas defined based on Census 2010 data. Asa result, data for urban and rural areas from the ACS do not necessarily reflect the results of ongoing urbanization.

Source: U.S. Census Bureau, 2016 American Community Survey 1-Year Estimates

Explanation of Symbols:

1. An '**' entry in the margin of error column indicates that either no sample observations or too few sample observations were available tocompute a standard error and thus the margin of error. A statistical test is not appropriate. 2. An '-' entry in the estimate column indicates that either no sample observations or too few sample observations were available to compute anestimate, or a ratio of medians cannot be calculated because one or both of the median estimates falls in the lowest interval or upper interval of anopen-ended distribution. 3. An '-' following a median estimate means the median falls in the lowest interval of an open-ended distribution. 4. An '+' following a median estimate means the median falls in the upper interval of an open-ended distribution. 5. An '***' entry in the margin of error column indicates that the median falls in the lowest interval or upper interval of an open-ended distribution. Astatistical test is not appropriate. 6. An '*****' entry in the margin of error column indicates that the estimate is controlled. A statistical test for sampling variability is not appropriate. 7. An 'N' entry in the estimate and margin of error columns indicates that data for this geographic area cannot be displayed because the number ofsample cases is too small. 8. An '(X)' means that the estimate is not applicable or not available.

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R1704 PERCENT OF CHILDREN UNDER 18 YEARS BELOW POVERTY LEVEL IN THE PAST 12 MONTHS(FOR WHOM POVERTY STATUS IS DETERMINED) - United States -- States; and Puerto RicoUniverse: Children under 18 years for whom poverty status is determined2016 American Community Survey 1-Year Estimates

Supporting documentation on code lists, subject definitions, data accuracy, and statistical testing can be found on the American Community Surveywebsite in the Data and Documentation section.

Sample size and data quality measures (including coverage rates, allocation rates, and response rates) can be found on the American CommunitySurvey website in the Methodology section.

Tell us what you think. Provide feedback to help make American Community Survey data more useful for you.

Although the American Community Survey (ACS) produces population, demographic and housing unit estimates, it is the Census Bureau's PopulationEstimates Program that produces and disseminates the official estimates of the population for the nation, states, counties, cities and towns andestimates of housing units for states and counties.

To view this table with statistical significance, select With Statistical Significance in the Action menu.A # next to a geography indicates when an estimate is not statistically significant from the estimate for the selected geography.The ## indicates the selected geography.

Rank Geographical Area Percent Margin of ErrorUnited States 19.5 +/-0.2

1 New Mexico 30.1 +/-1.82 Mississippi 29.7 +/-1.63 Louisiana 28.6 +/-1.34 District of Columbia 25.8 +/-3.95 Kentucky 25.0 +/-1.26 Alabama 24.5 +/-1.17 West Virginia 24.0 +/-1.88 Arkansas 23.8 +/-1.39 Arizona 23.6 +/-0.810 South Carolina 23.0 +/-1.111 Georgia 22.9 +/-0.811 Oklahoma 22.9 +/-0.913 Tennessee 22.6 +/-0.914 Texas 22.4 +/-0.415 North Carolina 21.7 +/-0.816 Florida 21.0 +/-0.617 Michigan 20.7 +/-0.617 New York 20.7 +/-0.519 Ohio 20.5 +/-0.720 California 19.9 +/-0.421 Indiana 19.5 +/-0.822 Missouri 19.2 +/-0.923 Nevada 19.1 +/-1.424 Pennsylvania 18.5 +/-0.625 Idaho 17.7 +/-1.825 Illinois 17.7 +/-0.627 Delaware 17.4 +/-2.528 Maine 17.2 +/-2.0

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Rank Geographical Area Percent Margin of Error29 Oregon 17.0 +/-1.129 Rhode Island 17.0 +/-2.131 South Dakota 16.9 +/-1.732 Wisconsin 15.7 +/-0.933 Montana 15.1 +/-1.834 Iowa 14.8 +/-1.034 Vermont 14.8 +/-2.636 New Jersey 14.6 +/-0.837 Virginia 14.3 +/-0.738 Nebraska 14.2 +/-1.339 Alaska 14.1 +/-2.239 Kansas 14.1 +/-1.041 Washington 13.7 +/-0.742 Massachusetts 13.6 +/-0.743 Colorado 13.4 +/-0.844 Connecticut 12.9 +/-1.145 Maryland 12.7 +/-0.645 Minnesota 12.7 +/-0.747 North Dakota 12.4 +/-1.648 Utah 11.1 +/-0.948 Wyoming 11.1 +/-1.950 Hawaii 10.1 +/-1.451 New Hampshire 7.9 +/-1.2

Puerto Rico 56.4 +/-1.6

Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability isrepresented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpretedroughly as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin oferror (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject tononsampling error (for a discussion of nonsampling variability, see Accuracy of the Data). The effect of nonsampling error is not represented in thesetables.

While the 2016 American Community Survey (ACS) data generally reflect the February 2013 Office of Management and Budget (OMB) definitions ofmetropolitan and micropolitan statistical areas; in certain instances the names, codes, and boundaries of the principal cities shown in ACS tables maydiffer from the OMB definitions due to differences in the effective dates of the geographic entities.

Estimates of urban and rural population, housing units, and characteristics reflect boundaries of urban areas defined based on Census 2010 data. Asa result, data for urban and rural areas from the ACS do not necessarily reflect the results of ongoing urbanization.

Source: U.S. Census Bureau, 2016 American Community Survey 1-Year Estimates

Explanation of Symbols:

1. An '**' entry in the margin of error column indicates that either no sample observations or too few sample observations were available tocompute a standard error and thus the margin of error. A statistical test is not appropriate. 2. An '-' entry in the estimate column indicates that either no sample observations or too few sample observations were available to compute anestimate, or a ratio of medians cannot be calculated because one or both of the median estimates falls in the lowest interval or upper interval of anopen-ended distribution. 3. An '-' following a median estimate means the median falls in the lowest interval of an open-ended distribution. 4. An '+' following a median estimate means the median falls in the upper interval of an open-ended distribution. 5. An '***' entry in the margin of error column indicates that the median falls in the lowest interval or upper interval of an open-ended distribution. Astatistical test is not appropriate. 6. An '*****' entry in the margin of error column indicates that the estimate is controlled. A statistical test for sampling variability is not appropriate. 7. An 'N' entry in the estimate and margin of error columns indicates that data for this geographic area cannot be displayed because the number ofsample cases is too small. 8. An '(X)' means that the estimate is not applicable or not available.

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R1810 PERCENT OF PEOPLE WITH A DISABILITY - United States -- States; and Puerto RicoUniverse: Civilian noninstitutionalized population2016 American Community Survey 1-Year Estimates

Supporting documentation on code lists, subject definitions, data accuracy, and statistical testing can be found on the American Community Surveywebsite in the Data and Documentation section.

Sample size and data quality measures (including coverage rates, allocation rates, and response rates) can be found on the American CommunitySurvey website in the Methodology section.

Tell us what you think. Provide feedback to help make American Community Survey data more useful for you.

Although the American Community Survey (ACS) produces population, demographic and housing unit estimates, it is the Census Bureau's PopulationEstimates Program that produces and disseminates the official estimates of the population for the nation, states, counties, cities and towns andestimates of housing units for states and counties.

To view this table with statistical significance, select With Statistical Significance in the Action menu.A # next to a geography indicates when an estimate is not statistically significant from the estimate for the selected geography.The ## indicates the selected geography.

Rank Geographical Area Percent Margin of ErrorUnited States 12.8 +/-0.1

1 West Virginia 20.1 +/-0.42 Kentucky 17.9 +/-0.33 Arkansas 17.0 +/-0.44 Alabama 16.5 +/-0.25 Mississippi 16.3 +/-0.46 Oklahoma 16.1 +/-0.37 Maine 15.8 +/-0.58 Louisiana 15.5 +/-0.38 Tennessee 15.5 +/-0.210 South Carolina 15.2 +/-0.311 New Mexico 15.1 +/-0.512 Oregon 14.7 +/-0.313 Missouri 14.6 +/-0.213 Vermont 14.6 +/-0.715 Michigan 14.5 +/-0.216 Montana 14.4 +/-0.517 Ohio 14.2 +/-0.217 Pennsylvania 14.2 +/-0.219 Indiana 13.9 +/-0.220 North Carolina 13.8 +/-0.220 Rhode Island 13.8 +/-0.622 Florida 13.6 +/-0.122 Wyoming 13.6 +/-0.724 Idaho 13.5 +/-0.425 Nevada 13.2 +/-0.426 Arizona 13.1 +/-0.227 Washington 13.0 +/-0.228 Georgia 12.9 +/-0.229 Kansas 12.8 +/-0.3

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Rank Geographical Area Percent Margin of Error29 New Hampshire 12.8 +/-0.531 Delaware 12.3 +/-0.532 South Dakota 12.2 +/-0.633 Alaska 12.1 +/-0.634 Wisconsin 12.0 +/-0.235 Nebraska 11.9 +/-0.336 Iowa 11.8 +/-0.336 Texas 11.8 +/-0.136 Virginia 11.8 +/-0.239 Massachusetts 11.7 +/-0.240 New York 11.5 +/-0.140 North Dakota 11.5 +/-0.642 District of Columbia 11.3 +/-0.642 Hawaii 11.3 +/-0.444 Connecticut 11.2 +/-0.345 Maryland 11.1 +/-0.246 Illinois 11.0 +/-0.146 Minnesota 11.0 +/-0.248 California 10.9 +/-0.149 Colorado 10.6 +/-0.250 New Jersey 10.5 +/-0.251 Utah 9.9 +/-0.3

Puerto Rico 21.3 +/-0.4

Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability isrepresented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpretedroughly as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin oferror (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject tononsampling error (for a discussion of nonsampling variability, see Accuracy of the Data). The effect of nonsampling error is not represented in thesetables.

The Census Bureau introduced a new set of disability questions in the 2008 ACS questionnaire. Accordingly, comparisons of disability data from 2008or later with data from prior years are not recommended. For more information on these questions and their evaluation in the 2006 ACS Content Test,see the Evaluation Report Covering Disability.

While the 2016 American Community Survey (ACS) data generally reflect the February 2013 Office of Management and Budget (OMB) definitions ofmetropolitan and micropolitan statistical areas; in certain instances the names, codes, and boundaries of the principal cities shown in ACS tables maydiffer from the OMB definitions due to differences in the effective dates of the geographic entities.

Estimates of urban and rural population, housing units, and characteristics reflect boundaries of urban areas defined based on Census 2010 data. Asa result, data for urban and rural areas from the ACS do not necessarily reflect the results of ongoing urbanization.

Source: U.S. Census Bureau, 2016 American Community Survey 1-Year Estimates

Explanation of Symbols:

1. An '**' entry in the margin of error column indicates that either no sample observations or too few sample observations were available tocompute a standard error and thus the margin of error. A statistical test is not appropriate. 2. An '-' entry in the estimate column indicates that either no sample observations or too few sample observations were available to compute anestimate, or a ratio of medians cannot be calculated because one or both of the median estimates falls in the lowest interval or upper interval of anopen-ended distribution. 3. An '-' following a median estimate means the median falls in the lowest interval of an open-ended distribution. 4. An '+' following a median estimate means the median falls in the upper interval of an open-ended distribution. 5. An '***' entry in the margin of error column indicates that the median falls in the lowest interval or upper interval of an open-ended distribution. Astatistical test is not appropriate. 6. An '*****' entry in the margin of error column indicates that the estimate is controlled. A statistical test for sampling variability is not appropriate. 7. An 'N' entry in the estimate and margin of error columns indicates that data for this geographic area cannot be displayed because the number ofsample cases is too small. 8. An '(X)' means that the estimate is not applicable or not available.

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R1811 EMPLOYMENT TO POPULATION RATIO FOR PEOPLE WITH A DISABILITY - United States -- States;and Puerto RicoUniverse: Civilian noninstitutionalized population 18 to 64 years2016 American Community Survey 1-Year Estimates

Supporting documentation on code lists, subject definitions, data accuracy, and statistical testing can be found on the American Community Surveywebsite in the Data and Documentation section.

Sample size and data quality measures (including coverage rates, allocation rates, and response rates) can be found on the American CommunitySurvey website in the Methodology section.

Tell us what you think. Provide feedback to help make American Community Survey data more useful for you.

Although the American Community Survey (ACS) produces population, demographic and housing unit estimates, it is the Census Bureau's PopulationEstimates Program that produces and disseminates the official estimates of the population for the nation, states, counties, cities and towns andestimates of housing units for states and counties.

To view this table with statistical significance, select With Statistical Significance in the Action menu.A # next to a geography indicates when an estimate is not statistically significant from the estimate for the selected geography.The ## indicates the selected geography.

Rank Geographical Area Percent Margin of ErrorUnited States 35.9 +/-0.2

1 North Dakota 54.0 +/-3.82 South Dakota 51.6 +/-3.43 Minnesota 48.0 +/-1.44 Alaska 47.9 +/-3.55 Nebraska 47.4 +/-2.36 Wyoming 47.2 +/-4.47 Utah 47.0 +/-1.98 Iowa 45.9 +/-1.69 Kansas 44.7 +/-1.610 Montana 43.9 +/-3.611 Idaho 43.3 +/-2.912 Colorado 42.7 +/-1.413 Nevada 42.0 +/-1.714 Wisconsin 41.8 +/-1.315 New Hampshire 41.7 +/-2.916 Vermont 41.5 +/-3.517 Maryland 41.1 +/-1.618 Hawaii 39.9 +/-3.119 Oregon 39.2 +/-1.519 Washington 39.2 +/-1.221 Connecticut 39.0 +/-2.021 Texas 39.0 +/-0.721 Virginia 39.0 +/-1.324 Massachusetts 38.6 +/-1.325 Oklahoma 37.0 +/-1.326 New Jersey 36.7 +/-1.327 Indiana 36.1 +/-1.128 Delaware 35.9 +/-3.7

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Rank Geographical Area Percent Margin of Error29 Ohio 35.8 +/-0.930 Illinois 35.7 +/-1.031 Pennsylvania 35.5 +/-0.932 Missouri 35.1 +/-1.133 Arizona 34.8 +/-1.134 California 34.7 +/-0.635 North Carolina 34.5 +/-0.936 District of Columbia 34.0 +/-3.837 Georgia 33.9 +/-1.038 South Carolina 33.4 +/-1.639 Michigan 33.3 +/-0.940 Maine 33.2 +/-2.441 New York 33.1 +/-0.842 Florida 32.2 +/-0.843 New Mexico 31.9 +/-2.044 Arkansas 31.7 +/-1.545 Louisiana 31.3 +/-1.346 Tennessee 31.2 +/-1.147 Kentucky 30.5 +/-1.148 Rhode Island 30.0 +/-2.649 Mississippi 29.4 +/-1.550 Alabama 27.5 +/-1.151 West Virginia 27.4 +/-1.7

Puerto Rico 22.2 +/-1.2

Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability isrepresented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpretedroughly as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin oferror (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject tononsampling error (for a discussion of nonsampling variability, see Accuracy of the Data). The effect of nonsampling error is not represented in thesetables.

The Census Bureau introduced a new set of disability questions in the 2008 ACS questionnaire. Accordingly, comparisons of disability data from 2008or later with data from prior years are not recommended. For more information on these questions and their evaluation in the 2006 ACS Content Test,see the Evaluation Report Covering Disability.

While the 2016 American Community Survey (ACS) data generally reflect the February 2013 Office of Management and Budget (OMB) definitions ofmetropolitan and micropolitan statistical areas; in certain instances the names, codes, and boundaries of the principal cities shown in ACS tables maydiffer from the OMB definitions due to differences in the effective dates of the geographic entities.

Estimates of urban and rural population, housing units, and characteristics reflect boundaries of urban areas defined based on Census 2010 data. Asa result, data for urban and rural areas from the ACS do not necessarily reflect the results of ongoing urbanization.

Source: U.S. Census Bureau, 2016 American Community Survey 1-Year Estimates

Explanation of Symbols:

1. An '**' entry in the margin of error column indicates that either no sample observations or too few sample observations were available tocompute a standard error and thus the margin of error. A statistical test is not appropriate. 2. An '-' entry in the estimate column indicates that either no sample observations or too few sample observations were available to compute anestimate, or a ratio of medians cannot be calculated because one or both of the median estimates falls in the lowest interval or upper interval of anopen-ended distribution. 3. An '-' following a median estimate means the median falls in the lowest interval of an open-ended distribution. 4. An '+' following a median estimate means the median falls in the upper interval of an open-ended distribution. 5. An '***' entry in the margin of error column indicates that the median falls in the lowest interval or upper interval of an open-ended distribution. Astatistical test is not appropriate. 6. An '*****' entry in the margin of error column indicates that the estimate is controlled. A statistical test for sampling variability is not appropriate. 7. An 'N' entry in the estimate and margin of error columns indicates that data for this geographic area cannot be displayed because the number ofsample cases is too small. 8. An '(X)' means that the estimate is not applicable or not available.

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R1901 MEDIAN HOUSEHOLD INCOME (IN 2016 INFLATION-ADJUSTED DOLLARS) - United States -- States;and Puerto RicoUniverse: Households2016 American Community Survey 1-Year Estimates

Supporting documentation on code lists, subject definitions, data accuracy, and statistical testing can be found on the American Community Surveywebsite in the Data and Documentation section.

Sample size and data quality measures (including coverage rates, allocation rates, and response rates) can be found on the American CommunitySurvey website in the Methodology section.

Tell us what you think. Provide feedback to help make American Community Survey data more useful for you.

Although the American Community Survey (ACS) produces population, demographic and housing unit estimates, it is the Census Bureau's PopulationEstimates Program that produces and disseminates the official estimates of the population for the nation, states, counties, cities and towns andestimates of housing units for states and counties.

To view this table with statistical significance, select With Statistical Significance in the Action menu.A # next to a geography indicates when an estimate is not statistically significant from the estimate for the selected geography.The ## indicates the selected geography.

Rank Geographical Area Dollar Margin of ErrorUnited States 57,617 +/-115

1 Maryland 78,945 +/-7372 Alaska 76,440 +/-2,2303 New Jersey 76,126 +/-7014 District of Columbia 75,506 +/-3,4165 Massachusetts 75,297 +/-7716 Hawaii 74,511 +/-1,7767 Connecticut 73,433 +/-1,0598 New Hampshire 70,936 +/-1,4229 Virginia 68,114 +/-74810 California 67,739 +/-35611 Washington 67,106 +/-59512 Utah 65,977 +/-95513 Colorado 65,685 +/-63614 Minnesota 65,599 +/-60615 New York 62,909 +/-63116 Delaware 61,757 +/-1,49217 Illinois 60,960 +/-38918 North Dakota 60,656 +/-1,52819 Rhode Island 60,596 +/-1,59120 Wyoming 59,882 +/-2,21421 Vermont 57,677 +/-1,67222 Oregon 57,532 +/-85523 Nebraska 56,927 +/-76724 Pennsylvania 56,907 +/-36025 Wisconsin 56,811 +/-54926 Texas 56,565 +/-30027 Iowa 56,247 +/-69528 Nevada 55,180 +/-901

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Rank Geographical Area Dollar Margin of Error29 Kansas 54,935 +/-89330 South Dakota 54,467 +/-1,28931 Georgia 53,559 +/-71032 Arizona 53,558 +/-63433 Maine 53,079 +/-1,37934 Michigan 52,492 +/-40235 Ohio 52,334 +/-27536 Indiana 52,314 +/-37137 Idaho 51,807 +/-96338 Missouri 51,746 +/-37439 Florida 50,860 +/-24140 North Carolina 50,584 +/-29241 Montana 50,027 +/-1,09642 South Carolina 49,501 +/-60143 Oklahoma 49,176 +/-62544 Tennessee 48,547 +/-67545 New Mexico 46,748 +/-82646 Kentucky 46,659 +/-60047 Alabama 46,257 +/-67748 Louisiana 45,146 +/-77649 Arkansas 44,334 +/-92150 West Virginia 43,385 +/-1,11251 Mississippi 41,754 +/-556

Puerto Rico 20,078 +/-354

Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability isrepresented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpretedroughly as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin oferror (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject tononsampling error (for a discussion of nonsampling variability, see Accuracy of the Data). The effect of nonsampling error is not represented in thesetables.

While the 2016 American Community Survey (ACS) data generally reflect the February 2013 Office of Management and Budget (OMB) definitions ofmetropolitan and micropolitan statistical areas; in certain instances the names, codes, and boundaries of the principal cities shown in ACS tables maydiffer from the OMB definitions due to differences in the effective dates of the geographic entities.

Estimates of urban and rural population, housing units, and characteristics reflect boundaries of urban areas defined based on Census 2010 data. Asa result, data for urban and rural areas from the ACS do not necessarily reflect the results of ongoing urbanization.

Source: U.S. Census Bureau, 2016 American Community Survey 1-Year Estimates

Explanation of Symbols:

1. An '**' entry in the margin of error column indicates that either no sample observations or too few sample observations were available tocompute a standard error and thus the margin of error. A statistical test is not appropriate. 2. An '-' entry in the estimate column indicates that either no sample observations or too few sample observations were available to compute anestimate, or a ratio of medians cannot be calculated because one or both of the median estimates falls in the lowest interval or upper interval of anopen-ended distribution. 3. An '-' following a median estimate means the median falls in the lowest interval of an open-ended distribution. 4. An '+' following a median estimate means the median falls in the upper interval of an open-ended distribution. 5. An '***' entry in the margin of error column indicates that the median falls in the lowest interval or upper interval of an open-ended distribution. Astatistical test is not appropriate. 6. An '*****' entry in the margin of error column indicates that the estimate is controlled. A statistical test for sampling variability is not appropriate. 7. An 'N' entry in the estimate and margin of error columns indicates that data for this geographic area cannot be displayed because the number ofsample cases is too small. 8. An '(X)' means that the estimate is not applicable or not available.

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R1902 MEDIAN FAMILY INCOME (IN 2016 INFLATION-ADJUSTED DOLLARS) - United States -- States; andPuerto RicoUniverse: Families2016 American Community Survey 1-Year Estimates

Supporting documentation on code lists, subject definitions, data accuracy, and statistical testing can be found on the American Community Surveywebsite in the Data and Documentation section.

Sample size and data quality measures (including coverage rates, allocation rates, and response rates) can be found on the American CommunitySurvey website in the Methodology section.

Tell us what you think. Provide feedback to help make American Community Survey data more useful for you.

Although the American Community Survey (ACS) produces population, demographic and housing unit estimates, it is the Census Bureau's PopulationEstimates Program that produces and disseminates the official estimates of the population for the nation, states, counties, cities and towns andestimates of housing units for states and counties.

To view this table with statistical significance, select With Statistical Significance in the Action menu.A # next to a geography indicates when an estimate is not statistically significant from the estimate for the selected geography.The ## indicates the selected geography.

Rank Geographical Area Dollar Margin of ErrorUnited States 71,062 +/-119

1 District of Columbia 98,498 +/-8,1292 Maryland 95,336 +/-9763 Massachusetts 95,207 +/-1,0174 New Jersey 94,546 +/-1,1245 Connecticut 94,449 +/-1,4926 Alaska 88,604 +/-2,6367 Hawaii 86,768 +/-1,5118 New Hampshire 86,696 +/-1,8509 Minnesota 83,344 +/-99110 Virginia 83,306 +/-81811 Washington 81,234 +/-79212 Colorado 80,761 +/-72713 North Dakota 79,530 +/-2,14414 Rhode Island 77,940 +/-2,40415 New York 77,379 +/-57816 California 77,359 +/-39117 Illinois 76,950 +/-63018 Vermont 74,805 +/-2,27619 Delaware 74,251 +/-3,18520 Utah 74,181 +/-1,21221 Wyoming 73,574 +/-2,46322 Nebraska 73,488 +/-1,25223 Wisconsin 72,891 +/-69324 Iowa 72,351 +/-95425 Pennsylvania 72,313 +/-45726 Oregon 70,929 +/-98427 South Dakota 70,853 +/-1,56028 Kansas 70,792 +/-1,067

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Rank Geographical Area Dollar Margin of Error29 Maine 68,277 +/-1,93230 Michigan 67,330 +/-52831 Texas 67,025 +/-46732 Ohio 66,722 +/-43433 Montana 66,288 +/-1,33334 Indiana 66,032 +/-57135 Nevada 65,384 +/-1,22936 Missouri 65,058 +/-68337 Georgia 65,018 +/-61838 Arizona 63,877 +/-78339 Idaho 63,182 +/-1,46840 North Carolina 62,289 +/-52441 Oklahoma 61,633 +/-64942 South Carolina 61,535 +/-77243 Florida 61,289 +/-37744 Tennessee 60,659 +/-70945 Alabama 59,764 +/-81646 Kentucky 59,023 +/-1,04447 Louisiana 57,490 +/-99848 New Mexico 56,802 +/-1,44549 West Virginia 56,703 +/-1,03050 Arkansas 55,484 +/-78051 Mississippi 52,672 +/-1,093

Puerto Rico 24,212 +/-475

Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability isrepresented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpretedroughly as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin oferror (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject tononsampling error (for a discussion of nonsampling variability, see Accuracy of the Data). The effect of nonsampling error is not represented in thesetables.

While the 2016 American Community Survey (ACS) data generally reflect the February 2013 Office of Management and Budget (OMB) definitions ofmetropolitan and micropolitan statistical areas; in certain instances the names, codes, and boundaries of the principal cities shown in ACS tables maydiffer from the OMB definitions due to differences in the effective dates of the geographic entities.

Estimates of urban and rural population, housing units, and characteristics reflect boundaries of urban areas defined based on Census 2010 data. Asa result, data for urban and rural areas from the ACS do not necessarily reflect the results of ongoing urbanization.

Source: U.S. Census Bureau, 2016 American Community Survey 1-Year Estimates

Explanation of Symbols:

1. An '**' entry in the margin of error column indicates that either no sample observations or too few sample observations were available tocompute a standard error and thus the margin of error. A statistical test is not appropriate. 2. An '-' entry in the estimate column indicates that either no sample observations or too few sample observations were available to compute anestimate, or a ratio of medians cannot be calculated because one or both of the median estimates falls in the lowest interval or upper interval of anopen-ended distribution. 3. An '-' following a median estimate means the median falls in the lowest interval of an open-ended distribution. 4. An '+' following a median estimate means the median falls in the upper interval of an open-ended distribution. 5. An '***' entry in the margin of error column indicates that the median falls in the lowest interval or upper interval of an open-ended distribution. Astatistical test is not appropriate. 6. An '*****' entry in the margin of error column indicates that the estimate is controlled. A statistical test for sampling variability is not appropriate. 7. An 'N' entry in the estimate and margin of error columns indicates that data for this geographic area cannot be displayed because the number ofsample cases is too small. 8. An '(X)' means that the estimate is not applicable or not available.

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R1903 PERCENT OF HOUSEHOLDS WITH RETIREMENT INCOME - United States -- States; and Puerto RicoUniverse: Households2016 American Community Survey 1-Year Estimates

Supporting documentation on code lists, subject definitions, data accuracy, and statistical testing can be found on the American Community Surveywebsite in the Data and Documentation section.

Sample size and data quality measures (including coverage rates, allocation rates, and response rates) can be found on the American CommunitySurvey website in the Methodology section.

Tell us what you think. Provide feedback to help make American Community Survey data more useful for you.

Although the American Community Survey (ACS) produces population, demographic and housing unit estimates, it is the Census Bureau's PopulationEstimates Program that produces and disseminates the official estimates of the population for the nation, states, counties, cities and towns andestimates of housing units for states and counties.

To view this table with statistical significance, select With Statistical Significance in the Action menu.A # next to a geography indicates when an estimate is not statistically significant from the estimate for the selected geography.The ## indicates the selected geography.

Rank Geographical Area Percent Margin of ErrorUnited States 18.7 +/-0.1

1 West Virginia 24.6 +/-0.62 Delaware 23.7 +/-0.83 Hawaii 23.6 +/-0.84 Michigan 22.5 +/-0.25 Virginia 22.0 +/-0.36 Maryland 21.5 +/-0.36 Ohio 21.5 +/-0.28 Alabama 21.2 +/-0.38 Pennsylvania 21.2 +/-0.210 New Mexico 21.1 +/-0.511 South Carolina 20.9 +/-0.412 Arizona 20.6 +/-0.312 Oregon 20.6 +/-0.514 Kentucky 20.3 +/-0.415 Maine 20.2 +/-0.716 Florida 20.1 +/-0.217 Missouri 20.0 +/-0.318 Montana 19.7 +/-0.718 North Carolina 19.7 +/-0.318 Washington 19.7 +/-0.321 Mississippi 19.6 +/-0.522 Alaska 19.4 +/-0.922 Indiana 19.4 +/-0.324 New Hampshire 19.3 +/-0.724 Tennessee 19.3 +/-0.326 Vermont 19.2 +/-0.827 Nevada 19.1 +/-0.527 Wisconsin 19.1 +/-0.327 Wyoming 19.1 +/-1.2

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Rank Geographical Area Percent Margin of Error30 Connecticut 19.0 +/-0.430 Rhode Island 19.0 +/-0.832 Idaho 18.9 +/-0.633 New York 18.6 +/-0.234 Arkansas 18.3 +/-0.535 New Jersey 18.2 +/-0.336 Kansas 17.8 +/-0.437 Georgia 17.6 +/-0.338 Illinois 17.4 +/-0.239 Louisiana 17.3 +/-0.439 Oklahoma 17.3 +/-0.441 Colorado 16.9 +/-0.341 Iowa 16.9 +/-0.441 Minnesota 16.9 +/-0.244 Massachusetts 16.6 +/-0.345 Utah 16.2 +/-0.446 California 16.1 +/-0.147 South Dakota 15.7 +/-0.848 Texas 14.6 +/-0.249 Nebraska 14.4 +/-0.450 District of Columbia 13.8 +/-0.851 North Dakota 12.8 +/-0.8

Puerto Rico 16.8 +/-0.5

Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability isrepresented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpretedroughly as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin oferror (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject tononsampling error (for a discussion of nonsampling variability, see Accuracy of the Data). The effect of nonsampling error is not represented in thesetables.

While the 2016 American Community Survey (ACS) data generally reflect the February 2013 Office of Management and Budget (OMB) definitions ofmetropolitan and micropolitan statistical areas; in certain instances the names, codes, and boundaries of the principal cities shown in ACS tables maydiffer from the OMB definitions due to differences in the effective dates of the geographic entities.

Estimates of urban and rural population, housing units, and characteristics reflect boundaries of urban areas defined based on Census 2010 data. Asa result, data for urban and rural areas from the ACS do not necessarily reflect the results of ongoing urbanization.

Source: U.S. Census Bureau, 2016 American Community Survey 1-Year Estimates

Explanation of Symbols:

1. An '**' entry in the margin of error column indicates that either no sample observations or too few sample observations were available tocompute a standard error and thus the margin of error. A statistical test is not appropriate. 2. An '-' entry in the estimate column indicates that either no sample observations or too few sample observations were available to compute anestimate, or a ratio of medians cannot be calculated because one or both of the median estimates falls in the lowest interval or upper interval of anopen-ended distribution. 3. An '-' following a median estimate means the median falls in the lowest interval of an open-ended distribution. 4. An '+' following a median estimate means the median falls in the upper interval of an open-ended distribution. 5. An '***' entry in the margin of error column indicates that the median falls in the lowest interval or upper interval of an open-ended distribution. Astatistical test is not appropriate. 6. An '*****' entry in the margin of error column indicates that the estimate is controlled. A statistical test for sampling variability is not appropriate. 7. An 'N' entry in the estimate and margin of error columns indicates that data for this geographic area cannot be displayed because the number ofsample cases is too small. 8. An '(X)' means that the estimate is not applicable or not available.

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R1904 PERCENT OF HOUSEHOLDS WITH CASH PUBLIC ASSISTANCE INCOME - United States -- States;and Puerto RicoUniverse: Households2016 American Community Survey 1-Year Estimates

Supporting documentation on code lists, subject definitions, data accuracy, and statistical testing can be found on the American Community Surveywebsite in the Data and Documentation section.

Sample size and data quality measures (including coverage rates, allocation rates, and response rates) can be found on the American CommunitySurvey website in the Methodology section.

Tell us what you think. Provide feedback to help make American Community Survey data more useful for you.

Although the American Community Survey (ACS) produces population, demographic and housing unit estimates, it is the Census Bureau's PopulationEstimates Program that produces and disseminates the official estimates of the population for the nation, states, counties, cities and towns andestimates of housing units for states and counties.

To view this table with statistical significance, select With Statistical Significance in the Action menu.A # next to a geography indicates when an estimate is not statistically significant from the estimate for the selected geography.The ## indicates the selected geography.

Rank Geographical Area Percent Margin of ErrorUnited States 2.5 +/-0.1

1 Alaska 5.9 +/-0.72 Connecticut 3.9 +/-0.32 District of Columbia 3.9 +/-0.64 Minnesota 3.6 +/-0.24 Oregon 3.6 +/-0.26 California 3.5 +/-0.16 Hawaii 3.5 +/-0.56 Rhode Island 3.5 +/-0.56 Vermont 3.5 +/-0.510 New York 3.4 +/-0.111 Maine 3.2 +/-0.411 Pennsylvania 3.2 +/-0.113 Idaho 3.1 +/-0.313 Ohio 3.1 +/-0.113 Washington 3.1 +/-0.116 Nevada 3.0 +/-0.217 Oklahoma 2.8 +/-0.218 New Mexico 2.7 +/-0.319 Massachusetts 2.6 +/-0.119 West Virginia 2.6 +/-0.321 Illinois 2.5 +/-0.121 Michigan 2.5 +/-0.123 Delaware 2.4 +/-0.423 Maryland 2.4 +/-0.225 Montana 2.2 +/-0.325 Tennessee 2.2 +/-0.127 Iowa 2.1 +/-0.227 New Hampshire 2.1 +/-0.3

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Rank Geographical Area Percent Margin of Error27 New Jersey 2.1 +/-0.127 Wisconsin 2.1 +/-0.131 Colorado 2.0 +/-0.131 Florida 2.0 +/-0.131 Kentucky 2.0 +/-0.231 Mississippi 2.0 +/-0.231 South Dakota 2.0 +/-0.331 Wyoming 2.0 +/-0.637 Georgia 1.9 +/-0.138 Arkansas 1.8 +/-0.238 Indiana 1.8 +/-0.138 North Carolina 1.8 +/-0.138 North Dakota 1.8 +/-0.542 Arizona 1.7 +/-0.142 Missouri 1.7 +/-0.142 Nebraska 1.7 +/-0.242 Virginia 1.7 +/-0.146 Alabama 1.6 +/-0.146 Louisiana 1.6 +/-0.248 Kansas 1.5 +/-0.148 South Carolina 1.5 +/-0.148 Utah 1.5 +/-0.251 Texas 1.4 +/-0.1

Puerto Rico 9.1 +/-0.4

Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability isrepresented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpretedroughly as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin oferror (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject tononsampling error (for a discussion of nonsampling variability, see Accuracy of the Data). The effect of nonsampling error is not represented in thesetables.

While the 2016 American Community Survey (ACS) data generally reflect the February 2013 Office of Management and Budget (OMB) definitions ofmetropolitan and micropolitan statistical areas; in certain instances the names, codes, and boundaries of the principal cities shown in ACS tables maydiffer from the OMB definitions due to differences in the effective dates of the geographic entities.

Estimates of urban and rural population, housing units, and characteristics reflect boundaries of urban areas defined based on Census 2010 data. Asa result, data for urban and rural areas from the ACS do not necessarily reflect the results of ongoing urbanization.

Source: U.S. Census Bureau, 2016 American Community Survey 1-Year Estimates

Explanation of Symbols:

1. An '**' entry in the margin of error column indicates that either no sample observations or too few sample observations were available tocompute a standard error and thus the margin of error. A statistical test is not appropriate. 2. An '-' entry in the estimate column indicates that either no sample observations or too few sample observations were available to compute anestimate, or a ratio of medians cannot be calculated because one or both of the median estimates falls in the lowest interval or upper interval of anopen-ended distribution. 3. An '-' following a median estimate means the median falls in the lowest interval of an open-ended distribution. 4. An '+' following a median estimate means the median falls in the upper interval of an open-ended distribution. 5. An '***' entry in the margin of error column indicates that the median falls in the lowest interval or upper interval of an open-ended distribution. Astatistical test is not appropriate. 6. An '*****' entry in the margin of error column indicates that the estimate is controlled. A statistical test for sampling variability is not appropriate. 7. An 'N' entry in the estimate and margin of error columns indicates that data for this geographic area cannot be displayed because the number ofsample cases is too small. 8. An '(X)' means that the estimate is not applicable or not available.

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R2001 MEDIAN EARNINGS FOR MALE FULL-TIME, YEAR-ROUND WORKERS (IN 2016 INFLATION-ADJUSTED DOLLARS) - United States -- States; and Puerto RicoUniverse: Male full-time, year-round workers with earnings2016 American Community Survey 1-Year Estimates

Supporting documentation on code lists, subject definitions, data accuracy, and statistical testing can be found on the American Community Surveywebsite in the Data and Documentation section.

Sample size and data quality measures (including coverage rates, allocation rates, and response rates) can be found on the American CommunitySurvey website in the Methodology section.

Tell us what you think. Provide feedback to help make American Community Survey data more useful for you.

Although the American Community Survey (ACS) produces population, demographic and housing unit estimates, it is the Census Bureau's PopulationEstimates Program that produces and disseminates the official estimates of the population for the nation, states, counties, cities and towns andestimates of housing units for states and counties.

To view this table with statistical significance, select With Statistical Significance in the Action menu.A # next to a geography indicates when an estimate is not statistically significant from the estimate for the selected geography.The ## indicates the selected geography.

Rank Geographical Area Dollar Margin of ErrorUnited States 50,586 +/-54

1 District of Columbia 75,343 +/-4,7002 Connecticut 64,220 +/-1,8933 Massachusetts 62,868 +/-1,3134 New Jersey 62,311 +/-4605 Maryland 61,321 +/-4246 Washington 58,864 +/-1,3207 Alaska 56,422 +/-2,8808 Virginia 55,817 +/-5889 New Hampshire 53,581 +/-2,33210 Rhode Island 53,400 +/-3,00911 Minnesota 53,200 +/-94612 New York 53,124 +/-79713 Illinois 53,111 +/-1,03614 North Dakota 51,789 +/-78115 Pennsylvania 51,780 +/-21716 California 51,417 +/-14717 Colorado 51,264 +/-32918 Wyoming 51,234 +/-1,05319 Utah 51,099 +/-42520 Delaware 50,924 +/-92921 Michigan 50,869 +/-23222 Oregon 50,676 +/-37523 Wisconsin 50,399 +/-25024 Ohio 50,227 +/-18125 Louisiana 50,031 +/-69526 Iowa 49,385 +/-98427 Hawaii 49,373 +/-1,51328 Indiana 49,157 +/-986

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Rank Geographical Area Dollar Margin of Error29 Kansas 47,891 +/-88430 Maine 47,890 +/-1,52331 Vermont 47,840 +/-1,58532 Nebraska 47,352 +/-65833 Texas 47,351 +/-32034 Alabama 47,034 +/-68935 Georgia 46,712 +/-40736 Montana 46,545 +/-89637 Missouri 46,543 +/-44438 Arizona 46,386 +/-52039 West Virginia 46,029 +/-1,10440 Oklahoma 46,027 +/-48741 Kentucky 45,521 +/-57942 South Dakota 45,384 +/-96943 Nevada 45,326 +/-89544 Idaho 45,305 +/-1,54445 North Carolina 45,180 +/-51346 South Carolina 45,038 +/-1,03347 Tennessee 43,661 +/-1,16248 New Mexico 42,297 +/-1,04349 Mississippi 42,146 +/-56650 Florida 41,586 +/-19651 Arkansas 41,156 +/-488

Puerto Rico 22,850 +/-696

Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability isrepresented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpretedroughly as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin oferror (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject tononsampling error (for a discussion of nonsampling variability, see Accuracy of the Data). The effect of nonsampling error is not represented in thesetables.

While the 2016 American Community Survey (ACS) data generally reflect the February 2013 Office of Management and Budget (OMB) definitions ofmetropolitan and micropolitan statistical areas; in certain instances the names, codes, and boundaries of the principal cities shown in ACS tables maydiffer from the OMB definitions due to differences in the effective dates of the geographic entities.

Estimates of urban and rural population, housing units, and characteristics reflect boundaries of urban areas defined based on Census 2010 data. Asa result, data for urban and rural areas from the ACS do not necessarily reflect the results of ongoing urbanization.

Source: U.S. Census Bureau, 2016 American Community Survey 1-Year Estimates

Explanation of Symbols:

1. An '**' entry in the margin of error column indicates that either no sample observations or too few sample observations were available tocompute a standard error and thus the margin of error. A statistical test is not appropriate. 2. An '-' entry in the estimate column indicates that either no sample observations or too few sample observations were available to compute anestimate, or a ratio of medians cannot be calculated because one or both of the median estimates falls in the lowest interval or upper interval of anopen-ended distribution. 3. An '-' following a median estimate means the median falls in the lowest interval of an open-ended distribution. 4. An '+' following a median estimate means the median falls in the upper interval of an open-ended distribution. 5. An '***' entry in the margin of error column indicates that the median falls in the lowest interval or upper interval of an open-ended distribution. Astatistical test is not appropriate. 6. An '*****' entry in the margin of error column indicates that the estimate is controlled. A statistical test for sampling variability is not appropriate. 7. An 'N' entry in the estimate and margin of error columns indicates that data for this geographic area cannot be displayed because the number ofsample cases is too small. 8. An '(X)' means that the estimate is not applicable or not available.

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R2002 MEDIAN EARNINGS FOR FEMALE FULL-TIME, YEAR-ROUND WORKERS (IN 2016 INFLATION-ADJUSTED DOLLARS) - United States -- States; and Puerto RicoUniverse: Female full-time, year-round workers with earnings2016 American Community Survey 1-Year Estimates

Supporting documentation on code lists, subject definitions, data accuracy, and statistical testing can be found on the American Community Surveywebsite in the Data and Documentation section.

Sample size and data quality measures (including coverage rates, allocation rates, and response rates) can be found on the American CommunitySurvey website in the Methodology section.

Tell us what you think. Provide feedback to help make American Community Survey data more useful for you.

Although the American Community Survey (ACS) produces population, demographic and housing unit estimates, it is the Census Bureau's PopulationEstimates Program that produces and disseminates the official estimates of the population for the nation, states, counties, cities and towns andestimates of housing units for states and counties.

To view this table with statistical significance, select With Statistical Significance in the Action menu.A # next to a geography indicates when an estimate is not statistically significant from the estimate for the selected geography.The ## indicates the selected geography.

Rank Geographical Area Dollar Margin of ErrorUnited States 40,626 +/-53

1 District of Columbia 64,908 +/-2,5472 Massachusetts 51,666 +/-3653 Maryland 51,247 +/-4074 Connecticut 50,991 +/-4765 New Jersey 50,574 +/-3496 Alaska 47,518 +/-2,2557 New York 47,358 +/-3978 California 45,489 +/-2939 Washington 45,056 +/-66110 Virginia 44,798 +/-79711 New Hampshire 44,550 +/-1,95712 Minnesota 44,132 +/-83613 Rhode Island 43,541 +/-2,61014 Colorado 43,206 +/-1,18015 Illinois 42,108 +/-21916 Delaware 41,771 +/-1,07117 Hawaii 41,224 +/-48518 Vermont 41,122 +/-85419 Pennsylvania 41,047 +/-20620 Maine 40,240 +/-65721 Oregon 40,193 +/-54422 Michigan 39,825 +/-54023 Wisconsin 39,440 +/-55824 Wyoming 39,338 +/-2,40525 Ohio 38,750 +/-48226 North Dakota 38,407 +/-1,22327 Georgia 38,278 +/-82128 Arizona 37,966 +/-650

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Rank Geographical Area Dollar Margin of Error29 Iowa 37,791 +/-77930 Texas 37,576 +/-46531 Kansas 37,091 +/-44632 North Carolina 36,987 +/-27233 Nebraska 36,699 +/-45934 Nevada 36,681 +/-41535 Missouri 36,514 +/-33036 Indiana 36,440 +/-30937 Kentucky 36,259 +/-49538 Florida 36,112 +/-21639 Utah 36,022 +/-58040 Tennessee 35,916 +/-31141 South Dakota 35,436 +/-58642 South Carolina 35,043 +/-53943 Alabama 35,012 +/-76344 Louisiana 34,793 +/-1,00145 New Mexico 34,668 +/-1,36446 Idaho 34,403 +/-1,56147 Montana 34,028 +/-1,78148 Oklahoma 33,972 +/-61249 West Virginia 33,228 +/-1,14150 Arkansas 32,242 +/-40651 Mississippi 31,757 +/-373

Puerto Rico 23,494 +/-492

Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability isrepresented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpretedroughly as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin oferror (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject tononsampling error (for a discussion of nonsampling variability, see Accuracy of the Data). The effect of nonsampling error is not represented in thesetables.

While the 2016 American Community Survey (ACS) data generally reflect the February 2013 Office of Management and Budget (OMB) definitions ofmetropolitan and micropolitan statistical areas; in certain instances the names, codes, and boundaries of the principal cities shown in ACS tables maydiffer from the OMB definitions due to differences in the effective dates of the geographic entities.

Estimates of urban and rural population, housing units, and characteristics reflect boundaries of urban areas defined based on Census 2010 data. Asa result, data for urban and rural areas from the ACS do not necessarily reflect the results of ongoing urbanization.

Source: U.S. Census Bureau, 2016 American Community Survey 1-Year Estimates

Explanation of Symbols:

1. An '**' entry in the margin of error column indicates that either no sample observations or too few sample observations were available tocompute a standard error and thus the margin of error. A statistical test is not appropriate. 2. An '-' entry in the estimate column indicates that either no sample observations or too few sample observations were available to compute anestimate, or a ratio of medians cannot be calculated because one or both of the median estimates falls in the lowest interval or upper interval of anopen-ended distribution. 3. An '-' following a median estimate means the median falls in the lowest interval of an open-ended distribution. 4. An '+' following a median estimate means the median falls in the upper interval of an open-ended distribution. 5. An '***' entry in the margin of error column indicates that the median falls in the lowest interval or upper interval of an open-ended distribution. Astatistical test is not appropriate. 6. An '*****' entry in the margin of error column indicates that the estimate is controlled. A statistical test for sampling variability is not appropriate. 7. An 'N' entry in the estimate and margin of error columns indicates that data for this geographic area cannot be displayed because the number ofsample cases is too small. 8. An '(X)' means that the estimate is not applicable or not available.

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R2101 PERCENT OF THE CIVILIAN POPULATION 18 YEARS AND OVER WHO ARE VETERANS - UnitedStates -- States; and Puerto RicoUniverse: Civilian population 18 years and over2016 American Community Survey 1-Year Estimates

Supporting documentation on code lists, subject definitions, data accuracy, and statistical testing can be found on the American Community Surveywebsite in the Data and Documentation section.

Sample size and data quality measures (including coverage rates, allocation rates, and response rates) can be found on the American CommunitySurvey website in the Methodology section.

Tell us what you think. Provide feedback to help make American Community Survey data more useful for you.

Although the American Community Survey (ACS) produces population, demographic and housing unit estimates, it is the Census Bureau's PopulationEstimates Program that produces and disseminates the official estimates of the population for the nation, states, counties, cities and towns andestimates of housing units for states and counties.

To view this table with statistical significance, select With Statistical Significance in the Action menu.A # next to a geography indicates when an estimate is not statistically significant from the estimate for the selected geography.The ## indicates the selected geography.

Rank Geographical Area Percent Margin of ErrorUnited States 7.4 +/-0.1

1 Alaska 12.2 +/-0.72 Wyoming 10.7 +/-0.73 Montana 10.5 +/-0.54 Virginia 10.4 +/-0.25 Hawaii 9.7 +/-0.46 Maine 9.6 +/-0.46 South Carolina 9.6 +/-0.26 Washington 9.6 +/-0.29 South Dakota 9.5 +/-0.59 West Virginia 9.5 +/-0.311 Oklahoma 9.4 +/-0.212 Arizona 9.2 +/-0.212 Nevada 9.2 +/-0.312 Oregon 9.2 +/-0.215 New Hampshire 9.1 +/-0.416 Missouri 9.0 +/-0.216 New Mexico 9.0 +/-0.318 Colorado 8.9 +/-0.218 Idaho 8.9 +/-0.320 Alabama 8.8 +/-0.221 Arkansas 8.7 +/-0.221 Florida 8.7 +/-0.123 North Carolina 8.6 +/-0.124 Delaware 8.5 +/-0.525 Nebraska 8.4 +/-0.326 Georgia 8.3 +/-0.226 Tennessee 8.3 +/-0.228 Kansas 8.1 +/-0.3

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Rank Geographical Area Percent Margin of Error28 North Dakota 8.1 +/-0.528 Ohio 8.1 +/-0.131 Kentucky 8.0 +/-0.231 Maryland 8.0 +/-0.233 Mississippi 7.8 +/-0.333 Pennsylvania 7.8 +/-0.135 Iowa 7.6 +/-0.236 Indiana 7.5 +/-0.136 Wisconsin 7.5 +/-0.138 Vermont 7.4 +/-0.339 Minnesota 7.3 +/-0.140 Michigan 7.2 +/-0.141 Texas 7.1 +/-0.142 Louisiana 6.8 +/-0.243 Rhode Island 6.6 +/-0.444 Connecticut 6.1 +/-0.245 Illinois 5.9 +/-0.146 Utah 5.8 +/-0.247 Massachusetts 5.7 +/-0.148 California 5.4 +/-0.149 New Jersey 4.8 +/-0.150 District of Columbia 4.7 +/-0.450 New York 4.7 +/-0.1

Puerto Rico 2.9 +/-0.2

Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability isrepresented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpretedroughly as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin oferror (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject tononsampling error (for a discussion of nonsampling variability, see Accuracy of the Data). The effect of nonsampling error is not represented in thesetables.

While the 2016 American Community Survey (ACS) data generally reflect the February 2013 Office of Management and Budget (OMB) definitions ofmetropolitan and micropolitan statistical areas; in certain instances the names, codes, and boundaries of the principal cities shown in ACS tables maydiffer from the OMB definitions due to differences in the effective dates of the geographic entities.

Estimates of urban and rural population, housing units, and characteristics reflect boundaries of urban areas defined based on Census 2010 data. Asa result, data for urban and rural areas from the ACS do not necessarily reflect the results of ongoing urbanization.

Source: U.S. Census Bureau, 2016 American Community Survey 1-Year Estimates

Explanation of Symbols:

1. An '**' entry in the margin of error column indicates that either no sample observations or too few sample observations were available tocompute a standard error and thus the margin of error. A statistical test is not appropriate. 2. An '-' entry in the estimate column indicates that either no sample observations or too few sample observations were available to compute anestimate, or a ratio of medians cannot be calculated because one or both of the median estimates falls in the lowest interval or upper interval of anopen-ended distribution. 3. An '-' following a median estimate means the median falls in the lowest interval of an open-ended distribution. 4. An '+' following a median estimate means the median falls in the upper interval of an open-ended distribution. 5. An '***' entry in the margin of error column indicates that the median falls in the lowest interval or upper interval of an open-ended distribution. Astatistical test is not appropriate. 6. An '*****' entry in the margin of error column indicates that the estimate is controlled. A statistical test for sampling variability is not appropriate. 7. An 'N' entry in the estimate and margin of error columns indicates that data for this geographic area cannot be displayed because the number ofsample cases is too small. 8. An '(X)' means that the estimate is not applicable or not available.

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R2201 PERCENT OF HOUSEHOLDS THAT RECEIVE FOOD STAMPS/SNAP - United States -- States; andPuerto RicoUniverse: Households2016 American Community Survey 1-Year Estimates

Supporting documentation on code lists, subject definitions, data accuracy, and statistical testing can be found on the American Community Surveywebsite in the Data and Documentation section.

Sample size and data quality measures (including coverage rates, allocation rates, and response rates) can be found on the American CommunitySurvey website in the Methodology section.

Tell us what you think. Provide feedback to help make American Community Survey data more useful for you.

Although the American Community Survey (ACS) produces population, demographic and housing unit estimates, it is the Census Bureau's PopulationEstimates Program that produces and disseminates the official estimates of the population for the nation, states, counties, cities and towns andestimates of housing units for states and counties.

To view this table with statistical significance, select With Statistical Significance in the Action menu.A # next to a geography indicates when an estimate is not statistically significant from the estimate for the selected geography.The ## indicates the selected geography.

Rank Geographical Area Percent Margin of ErrorUnited States 12.4 +/-0.1

1 West Virginia 17.9 +/-0.72 New Mexico 16.9 +/-0.73 Oregon 16.8 +/-0.64 Louisiana 16.7 +/-0.55 Rhode Island 15.9 +/-0.96 Mississippi 15.7 +/-0.57 New York 15.0 +/-0.28 Kentucky 14.9 +/-0.59 Alabama 14.6 +/-0.49 Tennessee 14.6 +/-0.311 District of Columbia 14.5 +/-1.112 Florida 14.2 +/-0.212 Maine 14.2 +/-0.714 Michigan 14.1 +/-0.215 Georgia 14.0 +/-0.315 South Carolina 14.0 +/-0.417 Ohio 13.8 +/-0.218 North Carolina 13.5 +/-0.319 Pennsylvania 13.4 +/-0.220 Illinois 13.3 +/-0.220 Oklahoma 13.3 +/-0.422 Connecticut 13.1 +/-0.522 Nevada 13.1 +/-0.624 Vermont 13.0 +/-1.025 Washington 12.6 +/-0.326 Arkansas 12.5 +/-0.527 Arizona 12.4 +/-0.328 Texas 12.3 +/-0.2

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Rank Geographical Area Percent Margin of Error29 Massachusetts 12.0 +/-0.330 Wisconsin 11.9 +/-0.331 Hawaii 11.8 +/-0.832 Missouri 11.5 +/-0.433 Delaware 11.2 +/-0.834 Maryland 11.0 +/-0.435 Idaho 10.9 +/-0.835 Iowa 10.9 +/-0.437 Indiana 10.8 +/-0.338 Montana 10.6 +/-0.839 Alaska 10.5 +/-1.140 California 9.6 +/-0.141 New Jersey 9.4 +/-0.341 South Dakota 9.4 +/-0.743 Nebraska 9.0 +/-0.644 Virginia 8.6 +/-0.345 Minnesota 8.2 +/-0.246 Colorado 8.1 +/-0.347 Kansas 7.9 +/-0.448 North Dakota 7.2 +/-0.748 Utah 7.2 +/-0.450 New Hampshire 7.1 +/-0.651 Wyoming 5.9 +/-0.8

Puerto Rico 38.9 +/-0.7

Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability isrepresented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpretedroughly as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin oferror (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject tononsampling error (for a discussion of nonsampling variability, see Accuracy of the Data). The effect of nonsampling error is not represented in thesetables.

While the 2016 American Community Survey (ACS) data generally reflect the February 2013 Office of Management and Budget (OMB) definitions ofmetropolitan and micropolitan statistical areas; in certain instances the names, codes, and boundaries of the principal cities shown in ACS tables maydiffer from the OMB definitions due to differences in the effective dates of the geographic entities.

Estimates of urban and rural population, housing units, and characteristics reflect boundaries of urban areas defined based on Census 2010 data. Asa result, data for urban and rural areas from the ACS do not necessarily reflect the results of ongoing urbanization.

Source: U.S. Census Bureau, 2016 American Community Survey 1-Year Estimates

Explanation of Symbols:

1. An '**' entry in the margin of error column indicates that either no sample observations or too few sample observations were available tocompute a standard error and thus the margin of error. A statistical test is not appropriate. 2. An '-' entry in the estimate column indicates that either no sample observations or too few sample observations were available to compute anestimate, or a ratio of medians cannot be calculated because one or both of the median estimates falls in the lowest interval or upper interval of anopen-ended distribution. 3. An '-' following a median estimate means the median falls in the lowest interval of an open-ended distribution. 4. An '+' following a median estimate means the median falls in the upper interval of an open-ended distribution. 5. An '***' entry in the margin of error column indicates that the median falls in the lowest interval or upper interval of an open-ended distribution. Astatistical test is not appropriate. 6. An '*****' entry in the margin of error column indicates that the estimate is controlled. A statistical test for sampling variability is not appropriate. 7. An 'N' entry in the estimate and margin of error columns indicates that data for this geographic area cannot be displayed because the number ofsample cases is too small. 8. An '(X)' means that the estimate is not applicable or not available.

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R2301 PERCENT OF PEOPLE 16 TO 64 YEARS WHO ARE IN THE LABOR FORCE (INCLUDING ARMEDFORCES) - United States -- States; and Puerto RicoUniverse: Population 16 to 64 years2016 American Community Survey 1-Year Estimates

Supporting documentation on code lists, subject definitions, data accuracy, and statistical testing can be found on the American Community Surveywebsite in the Data and Documentation section.

Sample size and data quality measures (including coverage rates, allocation rates, and response rates) can be found on the American CommunitySurvey website in the Methodology section.

Tell us what you think. Provide feedback to help make American Community Survey data more useful for you.

Although the American Community Survey (ACS) produces population, demographic and housing unit estimates, it is the Census Bureau's PopulationEstimates Program that produces and disseminates the official estimates of the population for the nation, states, counties, cities and towns andestimates of housing units for states and counties.

To view this table with statistical significance, select With Statistical Significance in the Action menu.A # next to a geography indicates when an estimate is not statistically significant from the estimate for the selected geography.The ## indicates the selected geography.

Rank Geographical Area Percent Margin of ErrorUnited States 73.9 +/-0.1

1 North Dakota 82.0 +/-0.82 Minnesota 81.5 +/-0.33 Nebraska 80.9 +/-0.54 Iowa 79.9 +/-0.45 South Dakota 79.5 +/-0.96 New Hampshire 79.3 +/-0.77 Wisconsin 79.1 +/-0.38 Massachusetts 78.2 +/-0.39 Maryland 78.1 +/-0.310 Connecticut 77.6 +/-0.410 Wyoming 77.6 +/-1.112 Colorado 77.5 +/-0.413 Vermont 77.3 +/-0.914 Hawaii 77.2 +/-0.714 Kansas 77.2 +/-0.416 Alaska 77.0 +/-0.917 District of Columbia 76.6 +/-1.017 Utah 76.6 +/-0.519 Montana 76.1 +/-0.719 Virginia 76.1 +/-0.321 Illinois 76.0 +/-0.222 New Jersey 75.8 +/-0.323 Maine 75.5 +/-0.724 Rhode Island 75.2 +/-0.825 Ohio 74.9 +/-0.226 Washington 74.7 +/-0.327 Indiana 74.6 +/-0.328 Missouri 74.5 +/-0.4

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Rank Geographical Area Percent Margin of Error29 Pennsylvania 74.3 +/-0.330 Nevada 74.1 +/-0.531 Oregon 73.9 +/-0.432 New York 73.5 +/-0.233 Delaware 73.4 +/-1.033 Idaho 73.4 +/-0.835 North Carolina 73.0 +/-0.336 Texas 72.9 +/-0.237 Michigan 72.8 +/-0.338 California 72.7 +/-0.239 Georgia 72.2 +/-0.340 Florida 72.1 +/-0.240 South Carolina 72.1 +/-0.542 Arizona 71.6 +/-0.443 Oklahoma 71.3 +/-0.444 Tennessee 71.2 +/-0.445 Kentucky 69.6 +/-0.546 New Mexico 69.2 +/-0.747 Louisiana 68.6 +/-0.448 Arkansas 68.4 +/-0.649 Alabama 67.9 +/-0.550 Mississippi 67.0 +/-0.651 West Virginia 65.3 +/-0.7

Puerto Rico 56.0 +/-0.5

Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability isrepresented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpretedroughly as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin oferror (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject tononsampling error (for a discussion of nonsampling variability, see Accuracy of the Data). The effect of nonsampling error is not represented in thesetables.

While the 2016 American Community Survey (ACS) data generally reflect the February 2013 Office of Management and Budget (OMB) definitions ofmetropolitan and micropolitan statistical areas; in certain instances the names, codes, and boundaries of the principal cities shown in ACS tables maydiffer from the OMB definitions due to differences in the effective dates of the geographic entities.

Estimates of urban and rural population, housing units, and characteristics reflect boundaries of urban areas defined based on Census 2010 data. Asa result, data for urban and rural areas from the ACS do not necessarily reflect the results of ongoing urbanization.

Source: U.S. Census Bureau, 2016 American Community Survey 1-Year Estimates

Explanation of Symbols:

1. An '**' entry in the margin of error column indicates that either no sample observations or too few sample observations were available tocompute a standard error and thus the margin of error. A statistical test is not appropriate. 2. An '-' entry in the estimate column indicates that either no sample observations or too few sample observations were available to compute anestimate, or a ratio of medians cannot be calculated because one or both of the median estimates falls in the lowest interval or upper interval of anopen-ended distribution. 3. An '-' following a median estimate means the median falls in the lowest interval of an open-ended distribution. 4. An '+' following a median estimate means the median falls in the upper interval of an open-ended distribution. 5. An '***' entry in the margin of error column indicates that the median falls in the lowest interval or upper interval of an open-ended distribution. Astatistical test is not appropriate. 6. An '*****' entry in the margin of error column indicates that the estimate is controlled. A statistical test for sampling variability is not appropriate. 7. An 'N' entry in the estimate and margin of error columns indicates that data for this geographic area cannot be displayed because the number ofsample cases is too small. 8. An '(X)' means that the estimate is not applicable or not available.

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R2302 PERCENT OF CHILDREN UNDER 6 YEARS OLD WITH ALL PARENTS IN THE LABOR FORCE -United States -- States; and Puerto RicoUniverse: Own children under 6 years in families and subfamilies2016 American Community Survey 1-Year Estimates

Supporting documentation on code lists, subject definitions, data accuracy, and statistical testing can be found on the American Community Surveywebsite in the Data and Documentation section.

Sample size and data quality measures (including coverage rates, allocation rates, and response rates) can be found on the American CommunitySurvey website in the Methodology section.

Tell us what you think. Provide feedback to help make American Community Survey data more useful for you.

Although the American Community Survey (ACS) produces population, demographic and housing unit estimates, it is the Census Bureau's PopulationEstimates Program that produces and disseminates the official estimates of the population for the nation, states, counties, cities and towns andestimates of housing units for states and counties.

To view this table with statistical significance, select With Statistical Significance in the Action menu.A # next to a geography indicates when an estimate is not statistically significant from the estimate for the selected geography.The ## indicates the selected geography.

Rank Geographical Area Percent Margin of ErrorUnited States 65.5 +/-0.2

1 District of Columbia 76.3 +/-4.52 South Dakota 76.0 +/-2.73 Minnesota 75.3 +/-1.24 New Hampshire 75.2 +/-3.35 Nebraska 74.9 +/-2.46 Massachusetts 73.6 +/-1.46 Wisconsin 73.6 +/-1.28 Connecticut 73.5 +/-2.18 North Dakota 73.5 +/-3.610 Maryland 73.3 +/-1.411 Iowa 72.9 +/-1.812 Maine 72.1 +/-3.713 Delaware 71.7 +/-3.714 Illinois 70.0 +/-1.015 Missouri 69.9 +/-1.416 Kansas 69.8 +/-1.816 Rhode Island 69.8 +/-4.118 Ohio 69.5 +/-1.119 Vermont 69.0 +/-4.420 Mississippi 68.9 +/-2.420 South Carolina 68.9 +/-1.622 Pennsylvania 68.3 +/-1.023 Louisiana 67.8 +/-2.124 New Jersey 67.4 +/-1.525 Florida 67.0 +/-1.025 Virginia 67.0 +/-1.427 Montana 66.5 +/-3.728 Georgia 66.3 +/-1.3

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Rank Geographical Area Percent Margin of Error29 Kentucky 66.0 +/-1.930 Alabama 65.8 +/-1.930 Michigan 65.8 +/-1.130 Nevada 65.8 +/-2.433 Indiana 65.4 +/-1.534 Alaska 65.3 +/-4.335 North Carolina 64.9 +/-1.436 New York 64.8 +/-0.937 Arkansas 64.4 +/-2.738 Hawaii 63.6 +/-3.039 Wyoming 63.5 +/-4.640 Tennessee 63.4 +/-1.841 Colorado 62.8 +/-1.642 Oklahoma 62.5 +/-1.343 Oregon 62.4 +/-1.944 New Mexico 61.6 +/-3.045 West Virginia 61.3 +/-2.646 California 61.1 +/-0.747 Arizona 60.9 +/-1.648 Texas 60.0 +/-0.949 Washington 58.1 +/-1.250 Idaho 55.9 +/-3.051 Utah 51.5 +/-1.9

Puerto Rico 61.3 +/-2.2

Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability isrepresented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpretedroughly as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin oferror (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject tononsampling error (for a discussion of nonsampling variability, see Accuracy of the Data). The effect of nonsampling error is not represented in thesetables.

While the 2016 American Community Survey (ACS) data generally reflect the February 2013 Office of Management and Budget (OMB) definitions ofmetropolitan and micropolitan statistical areas; in certain instances the names, codes, and boundaries of the principal cities shown in ACS tables maydiffer from the OMB definitions due to differences in the effective dates of the geographic entities.

Estimates of urban and rural population, housing units, and characteristics reflect boundaries of urban areas defined based on Census 2010 data. Asa result, data for urban and rural areas from the ACS do not necessarily reflect the results of ongoing urbanization.

Source: U.S. Census Bureau, 2016 American Community Survey 1-Year Estimates

Explanation of Symbols:

1. An '**' entry in the margin of error column indicates that either no sample observations or too few sample observations were available tocompute a standard error and thus the margin of error. A statistical test is not appropriate. 2. An '-' entry in the estimate column indicates that either no sample observations or too few sample observations were available to compute anestimate, or a ratio of medians cannot be calculated because one or both of the median estimates falls in the lowest interval or upper interval of anopen-ended distribution. 3. An '-' following a median estimate means the median falls in the lowest interval of an open-ended distribution. 4. An '+' following a median estimate means the median falls in the upper interval of an open-ended distribution. 5. An '***' entry in the margin of error column indicates that the median falls in the lowest interval or upper interval of an open-ended distribution. Astatistical test is not appropriate. 6. An '*****' entry in the margin of error column indicates that the estimate is controlled. A statistical test for sampling variability is not appropriate. 7. An 'N' entry in the estimate and margin of error columns indicates that data for this geographic area cannot be displayed because the number ofsample cases is too small. 8. An '(X)' means that the estimate is not applicable or not available.

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R2303 EMPLOYMENT/POPULATION RATIO FOR THE CIVILIAN POPULATION 16 TO 64 YEARS OLD -United States -- States; and Puerto RicoUniverse: Civilian Population 16 to 642016 American Community Survey 1-Year Estimates

Supporting documentation on code lists, subject definitions, data accuracy, and statistical testing can be found on the American Community Surveywebsite in the Data and Documentation section.

Sample size and data quality measures (including coverage rates, allocation rates, and response rates) can be found on the American CommunitySurvey website in the Methodology section.

Tell us what you think. Provide feedback to help make American Community Survey data more useful for you.

Although the American Community Survey (ACS) produces population, demographic and housing unit estimates, it is the Census Bureau's PopulationEstimates Program that produces and disseminates the official estimates of the population for the nation, states, counties, cities and towns andestimates of housing units for states and counties.

To view this table with statistical significance, select With Statistical Significance in the Action menu.A # next to a geography indicates when an estimate is not statistically significant from the estimate for the selected geography.The ## indicates the selected geography.

Rank Geographical Area Ratio Margin of ErrorUnited States 69.4 +/-0.1

1 North Dakota 79.3 +/-0.92 Minnesota 78.3 +/-0.33 Nebraska 77.7 +/-0.64 Iowa 76.6 +/-0.45 New Hampshire 76.3 +/-0.76 South Dakota 76.2 +/-0.87 Wisconsin 75.8 +/-0.38 Vermont 74.2 +/-0.99 Massachusetts 74.0 +/-0.410 Maryland 73.7 +/-0.311 Colorado 73.6 +/-0.412 Kansas 73.4 +/-0.513 Utah 73.3 +/-0.614 Wyoming 73.1 +/-1.115 Hawaii 72.7 +/-0.816 Connecticut 72.4 +/-0.517 Montana 72.3 +/-0.818 Maine 72.1 +/-0.819 Virginia 71.7 +/-0.320 New Jersey 71.1 +/-0.321 District of Columbia 71.0 +/-1.221 Illinois 71.0 +/-0.323 Indiana 70.7 +/-0.424 Missouri 70.6 +/-0.424 Rhode Island 70.6 +/-0.926 Ohio 70.5 +/-0.327 Washington 70.4 +/-0.428 Alaska 69.9 +/-1.0

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Rank Geographical Area Ratio Margin of Error28 Idaho 69.9 +/-0.928 Pennsylvania 69.9 +/-0.331 Oregon 69.6 +/-0.532 Delaware 69.0 +/-1.132 Nevada 69.0 +/-0.632 New York 69.0 +/-0.235 Texas 68.6 +/-0.236 Michigan 68.2 +/-0.337 North Carolina 68.0 +/-0.338 California 67.8 +/-0.239 Florida 67.6 +/-0.239 Georgia 67.6 +/-0.341 South Carolina 67.1 +/-0.541 Tennessee 67.1 +/-0.443 Arizona 66.7 +/-0.443 Oklahoma 66.7 +/-0.445 Kentucky 65.2 +/-0.546 Arkansas 64.8 +/-0.647 New Mexico 63.6 +/-0.748 Louisiana 63.5 +/-0.549 Alabama 63.3 +/-0.550 Mississippi 61.4 +/-0.651 West Virginia 60.1 +/-0.8

Puerto Rico 46.7 +/-0.6

Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability isrepresented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpretedroughly as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin oferror (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject tononsampling error (for a discussion of nonsampling variability, see Accuracy of the Data). The effect of nonsampling error is not represented in thesetables.

While the 2016 American Community Survey (ACS) data generally reflect the February 2013 Office of Management and Budget (OMB) definitions ofmetropolitan and micropolitan statistical areas; in certain instances the names, codes, and boundaries of the principal cities shown in ACS tables maydiffer from the OMB definitions due to differences in the effective dates of the geographic entities.

Estimates of urban and rural population, housing units, and characteristics reflect boundaries of urban areas defined based on Census 2010 data. Asa result, data for urban and rural areas from the ACS do not necessarily reflect the results of ongoing urbanization.

Source: U.S. Census Bureau, 2016 American Community Survey 1-Year Estimates

Explanation of Symbols:

1. An '**' entry in the margin of error column indicates that either no sample observations or too few sample observations were available tocompute a standard error and thus the margin of error. A statistical test is not appropriate. 2. An '-' entry in the estimate column indicates that either no sample observations or too few sample observations were available to compute anestimate, or a ratio of medians cannot be calculated because one or both of the median estimates falls in the lowest interval or upper interval of anopen-ended distribution. 3. An '-' following a median estimate means the median falls in the lowest interval of an open-ended distribution. 4. An '+' following a median estimate means the median falls in the upper interval of an open-ended distribution. 5. An '***' entry in the margin of error column indicates that the median falls in the lowest interval or upper interval of an open-ended distribution. Astatistical test is not appropriate. 6. An '*****' entry in the margin of error column indicates that the estimate is controlled. A statistical test for sampling variability is not appropriate. 7. An 'N' entry in the estimate and margin of error columns indicates that data for this geographic area cannot be displayed because the number ofsample cases is too small. 8. An '(X)' means that the estimate is not applicable or not available.

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R2304 PERCENT OF MARRIED-COUPLE FAMILIES WITH BOTH HUSBAND AND WIFE IN THE LABORFORCE - United States -- States; and Puerto RicoUniverse: Married-couple families2016 American Community Survey 1-Year Estimates

Supporting documentation on code lists, subject definitions, data accuracy, and statistical testing can be found on the American Community Surveywebsite in the Data and Documentation section.

Sample size and data quality measures (including coverage rates, allocation rates, and response rates) can be found on the American CommunitySurvey website in the Methodology section.

Tell us what you think. Provide feedback to help make American Community Survey data more useful for you.

Although the American Community Survey (ACS) produces population, demographic and housing unit estimates, it is the Census Bureau's PopulationEstimates Program that produces and disseminates the official estimates of the population for the nation, states, counties, cities and towns andestimates of housing units for states and counties.

To view this table with statistical significance, select With Statistical Significance in the Action menu.A # next to a geography indicates when an estimate is not statistically significant from the estimate for the selected geography.The ## indicates the selected geography.

Rank Geographical Area Percent Margin of ErrorUnited States 51.2 +/-0.1

1 District of Columbia 66.0 +/-2.52 Nebraska 61.7 +/-1.02 South Dakota 61.7 +/-1.54 Minnesota 61.1 +/-0.55 North Dakota 60.3 +/-1.56 Massachusetts 59.5 +/-0.67 Maryland 58.4 +/-0.58 Iowa 58.3 +/-0.89 Connecticut 57.2 +/-0.99 Vermont 57.2 +/-1.311 Wisconsin 56.7 +/-0.512 New Hampshire 56.6 +/-1.413 Alaska 56.4 +/-2.114 Kansas 56.0 +/-0.815 New Jersey 55.0 +/-0.616 Rhode Island 54.8 +/-2.017 Illinois 54.5 +/-0.518 Colorado 54.4 +/-0.819 Virginia 54.0 +/-0.620 Montana 53.3 +/-1.221 Wyoming 53.2 +/-2.222 Hawaii 53.0 +/-1.523 Indiana 52.8 +/-0.723 Maine 52.8 +/-1.225 Missouri 52.6 +/-0.626 Ohio 52.2 +/-0.427 New York 52.1 +/-0.327 Pennsylvania 52.1 +/-0.4

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Rank Geographical Area Percent Margin of Error29 Georgia 51.2 +/-0.729 Utah 51.2 +/-0.931 Delaware 50.6 +/-1.932 Texas 50.2 +/-0.432 Washington 50.2 +/-0.634 California 49.8 +/-0.335 North Carolina 49.6 +/-0.536 Michigan 49.0 +/-0.537 Oklahoma 48.8 +/-0.738 Nevada 48.6 +/-1.238 Oregon 48.6 +/-0.940 Kentucky 48.4 +/-0.840 Mississippi 48.4 +/-1.042 Tennessee 47.9 +/-0.643 Louisiana 47.7 +/-0.943 South Carolina 47.7 +/-0.845 Idaho 47.6 +/-1.346 Arkansas 46.6 +/-1.147 Alabama 46.5 +/-0.748 Florida 44.3 +/-0.449 New Mexico 44.1 +/-1.250 Arizona 43.1 +/-0.751 West Virginia 41.5 +/-1.1

Puerto Rico 30.2 +/-1.0

Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability isrepresented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpretedroughly as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin oferror (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject tononsampling error (for a discussion of nonsampling variability, see Accuracy of the Data). The effect of nonsampling error is not represented in thesetables.

Starting with 2013 data products, same-sex married couples are shown along with all married couples. For more information, see: User Notes.

While the 2016 American Community Survey (ACS) data generally reflect the February 2013 Office of Management and Budget (OMB) definitions ofmetropolitan and micropolitan statistical areas; in certain instances the names, codes, and boundaries of the principal cities shown in ACS tables maydiffer from the OMB definitions due to differences in the effective dates of the geographic entities.

Estimates of urban and rural population, housing units, and characteristics reflect boundaries of urban areas defined based on Census 2010 data. Asa result, data for urban and rural areas from the ACS do not necessarily reflect the results of ongoing urbanization.

Source: U.S. Census Bureau, 2016 American Community Survey 1-Year Estimates

Explanation of Symbols:

1. An '**' entry in the margin of error column indicates that either no sample observations or too few sample observations were available tocompute a standard error and thus the margin of error. A statistical test is not appropriate. 2. An '-' entry in the estimate column indicates that either no sample observations or too few sample observations were available to compute anestimate, or a ratio of medians cannot be calculated because one or both of the median estimates falls in the lowest interval or upper interval of anopen-ended distribution. 3. An '-' following a median estimate means the median falls in the lowest interval of an open-ended distribution. 4. An '+' following a median estimate means the median falls in the upper interval of an open-ended distribution. 5. An '***' entry in the margin of error column indicates that the median falls in the lowest interval or upper interval of an open-ended distribution. Astatistical test is not appropriate. 6. An '*****' entry in the margin of error column indicates that the estimate is controlled. A statistical test for sampling variability is not appropriate. 7. An 'N' entry in the estimate and margin of error columns indicates that data for this geographic area cannot be displayed because the number ofsample cases is too small. 8. An '(X)' means that the estimate is not applicable or not available.

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R2401 PERCENT OF CIVILIAN EMPLOYED POPULATION 16 YEARS AND OVER IN MANAGEMENT,BUSINESS, AND FINANCIAL OCCUPATIONS - United States -- States; and Puerto RicoUniverse: Civilian employed population 16 years and over2016 American Community Survey 1-Year Estimates

Supporting documentation on code lists, subject definitions, data accuracy, and statistical testing can be found on the American Community Surveywebsite in the Data and Documentation section.

Sample size and data quality measures (including coverage rates, allocation rates, and response rates) can be found on the American CommunitySurvey website in the Methodology section.

Tell us what you think. Provide feedback to help make American Community Survey data more useful for you.

Although the American Community Survey (ACS) produces population, demographic and housing unit estimates, it is the Census Bureau's PopulationEstimates Program that produces and disseminates the official estimates of the population for the nation, states, counties, cities and towns andestimates of housing units for states and counties.

To view this table with statistical significance, select With Statistical Significance in the Action menu.A # next to a geography indicates when an estimate is not statistically significant from the estimate for the selected geography.The ## indicates the selected geography.

Rank Geographical Area Percent Margin of ErrorUnited States 15.2 +/-0.1

1 District of Columbia 26.9 +/-1.12 Virginia 18.2 +/-0.33 Maryland 18.0 +/-0.34 Colorado 17.8 +/-0.45 New Jersey 17.7 +/-0.36 Connecticut 17.5 +/-0.47 Massachusetts 17.4 +/-0.38 Washington 16.6 +/-0.39 Minnesota 16.5 +/-0.310 South Dakota 16.0 +/-0.811 Illinois 15.7 +/-0.211 New Hampshire 15.7 +/-0.611 North Dakota 15.7 +/-0.811 Vermont 15.7 +/-0.815 California 15.6 +/-0.215 Montana 15.6 +/-0.817 New York 15.5 +/-0.217 Oregon 15.5 +/-0.419 Georgia 15.4 +/-0.220 Delaware 15.3 +/-0.921 Iowa 15.2 +/-0.521 Nebraska 15.2 +/-0.423 Kansas 15.1 +/-0.423 North Carolina 15.1 +/-0.323 Utah 15.1 +/-0.426 Texas 15.0 +/-0.227 Pennsylvania 14.9 +/-0.228 Arizona 14.8 +/-0.3

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Rank Geographical Area Percent Margin of Error29 Missouri 14.5 +/-0.329 Wisconsin 14.5 +/-0.331 Florida 14.4 +/-0.231 Maine 14.4 +/-0.631 Rhode Island 14.4 +/-0.834 Alaska 14.2 +/-1.034 Ohio 14.2 +/-0.336 Oklahoma 14.1 +/-0.437 Michigan 14.0 +/-0.238 Idaho 13.9 +/-0.739 Hawaii 13.3 +/-0.639 Indiana 13.3 +/-0.339 South Carolina 13.3 +/-0.439 Tennessee 13.3 +/-0.343 Arkansas 12.8 +/-0.544 Alabama 12.7 +/-0.444 Kentucky 12.7 +/-0.346 New Mexico 12.6 +/-0.647 Nevada 12.1 +/-0.448 Louisiana 11.9 +/-0.449 West Virginia 11.8 +/-0.650 Wyoming 11.7 +/-1.151 Mississippi 10.6 +/-0.5

Puerto Rico 11.6 +/-0.6

Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability isrepresented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpretedroughly as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin oferror (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject tononsampling error (for a discussion of nonsampling variability, see Accuracy of the Data). The effect of nonsampling error is not represented in thesetables.

Occupation codes are 4-digit codes and are based on Standard Occupational Classification 2010.

While the 2016 American Community Survey (ACS) data generally reflect the February 2013 Office of Management and Budget (OMB) definitions ofmetropolitan and micropolitan statistical areas; in certain instances the names, codes, and boundaries of the principal cities shown in ACS tables maydiffer from the OMB definitions due to differences in the effective dates of the geographic entities.

Estimates of urban and rural population, housing units, and characteristics reflect boundaries of urban areas defined based on Census 2010 data. Asa result, data for urban and rural areas from the ACS do not necessarily reflect the results of ongoing urbanization.

Source: U.S. Census Bureau, 2016 American Community Survey 1-Year Estimates

Explanation of Symbols:

1. An '**' entry in the margin of error column indicates that either no sample observations or too few sample observations were available tocompute a standard error and thus the margin of error. A statistical test is not appropriate. 2. An '-' entry in the estimate column indicates that either no sample observations or too few sample observations were available to compute anestimate, or a ratio of medians cannot be calculated because one or both of the median estimates falls in the lowest interval or upper interval of anopen-ended distribution. 3. An '-' following a median estimate means the median falls in the lowest interval of an open-ended distribution. 4. An '+' following a median estimate means the median falls in the upper interval of an open-ended distribution. 5. An '***' entry in the margin of error column indicates that the median falls in the lowest interval or upper interval of an open-ended distribution. Astatistical test is not appropriate. 6. An '*****' entry in the margin of error column indicates that the estimate is controlled. A statistical test for sampling variability is not appropriate. 7. An 'N' entry in the estimate and margin of error columns indicates that data for this geographic area cannot be displayed because the number ofsample cases is too small. 8. An '(X)' means that the estimate is not applicable or not available.

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R2403 PERCENT OF CIVILIAN EMPLOYED POPULATION 16 YEARS AND OVER IN SERVICEOCCUPATIONS - United States -- States; and Puerto RicoUniverse: Civilian employed population 16 years and over2016 American Community Survey 1-Year Estimates

Supporting documentation on code lists, subject definitions, data accuracy, and statistical testing can be found on the American Community Surveywebsite in the Data and Documentation section.

Sample size and data quality measures (including coverage rates, allocation rates, and response rates) can be found on the American CommunitySurvey website in the Methodology section.

Tell us what you think. Provide feedback to help make American Community Survey data more useful for you.

Although the American Community Survey (ACS) produces population, demographic and housing unit estimates, it is the Census Bureau's PopulationEstimates Program that produces and disseminates the official estimates of the population for the nation, states, counties, cities and towns andestimates of housing units for states and counties.

To view this table with statistical significance, select With Statistical Significance in the Action menu.A # next to a geography indicates when an estimate is not statistically significant from the estimate for the selected geography.The ## indicates the selected geography.

Rank Geographical Area Percent Margin of ErrorUnited States 18.1 +/-0.1

1 Nevada 26.5 +/-0.72 Hawaii 23.2 +/-0.93 New Mexico 21.1 +/-0.84 Florida 20.6 +/-0.35 Montana 20.2 +/-1.15 New York 20.2 +/-0.27 Arizona 20.0 +/-0.48 West Virginia 19.9 +/-0.89 Louisiana 19.5 +/-0.69 Rhode Island 19.5 +/-1.111 California 18.9 +/-0.212 Mississippi 18.6 +/-0.613 Wyoming 18.4 +/-1.214 Maine 18.3 +/-0.915 Connecticut 18.2 +/-0.516 Pennsylvania 17.9 +/-0.317 Idaho 17.8 +/-0.817 Missouri 17.8 +/-0.417 Texas 17.8 +/-0.220 Michigan 17.7 +/-0.320 Oregon 17.7 +/-0.522 Alaska 17.6 +/-1.122 Massachusetts 17.6 +/-0.422 North Dakota 17.6 +/-1.022 Ohio 17.6 +/-0.326 Delaware 17.5 +/-1.026 South Carolina 17.5 +/-0.426 Vermont 17.5 +/-1.0

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Rank Geographical Area Percent Margin of Error29 Maryland 17.4 +/-0.429 North Carolina 17.4 +/-0.329 Oklahoma 17.4 +/-0.432 Illinois 17.3 +/-0.333 Colorado 17.2 +/-0.434 Washington 17.1 +/-0.335 Arkansas 17.0 +/-0.636 Kansas 16.9 +/-0.536 Wisconsin 16.9 +/-0.338 Indiana 16.8 +/-0.438 New Hampshire 16.8 +/-0.838 Tennessee 16.8 +/-0.441 Alabama 16.7 +/-0.441 Georgia 16.7 +/-0.443 Kentucky 16.6 +/-0.444 Nebraska 16.5 +/-0.645 Iowa 16.4 +/-0.545 Minnesota 16.4 +/-0.445 New Jersey 16.4 +/-0.345 South Dakota 16.4 +/-0.845 Virginia 16.4 +/-0.350 District of Columbia 15.8 +/-1.051 Utah 15.6 +/-0.6

Puerto Rico 20.0 +/-0.7

Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability isrepresented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpretedroughly as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin oferror (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject tononsampling error (for a discussion of nonsampling variability, see Accuracy of the Data). The effect of nonsampling error is not represented in thesetables.

Occupation codes are 4-digit codes and are based on Standard Occupational Classification 2010.

While the 2016 American Community Survey (ACS) data generally reflect the February 2013 Office of Management and Budget (OMB) definitions ofmetropolitan and micropolitan statistical areas; in certain instances the names, codes, and boundaries of the principal cities shown in ACS tables maydiffer from the OMB definitions due to differences in the effective dates of the geographic entities.

Estimates of urban and rural population, housing units, and characteristics reflect boundaries of urban areas defined based on Census 2010 data. Asa result, data for urban and rural areas from the ACS do not necessarily reflect the results of ongoing urbanization.

Source: U.S. Census Bureau, 2016 American Community Survey 1-Year Estimates

Explanation of Symbols:

1. An '**' entry in the margin of error column indicates that either no sample observations or too few sample observations were available tocompute a standard error and thus the margin of error. A statistical test is not appropriate. 2. An '-' entry in the estimate column indicates that either no sample observations or too few sample observations were available to compute anestimate, or a ratio of medians cannot be calculated because one or both of the median estimates falls in the lowest interval or upper interval of anopen-ended distribution. 3. An '-' following a median estimate means the median falls in the lowest interval of an open-ended distribution. 4. An '+' following a median estimate means the median falls in the upper interval of an open-ended distribution. 5. An '***' entry in the margin of error column indicates that the median falls in the lowest interval or upper interval of an open-ended distribution. Astatistical test is not appropriate. 6. An '*****' entry in the margin of error column indicates that the estimate is controlled. A statistical test for sampling variability is not appropriate. 7. An 'N' entry in the estimate and margin of error columns indicates that data for this geographic area cannot be displayed because the number ofsample cases is too small. 8. An '(X)' means that the estimate is not applicable or not available.

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R2404 PERCENT OF CIVILIAN EMPLOYED POPULATION 16 YEARS AND OVER IN THE MANUFACTURINGINDUSTRY - United States -- States; and Puerto RicoUniverse: Civilian employed population 16 years and over2016 American Community Survey 1-Year Estimates

Supporting documentation on code lists, subject definitions, data accuracy, and statistical testing can be found on the American Community Surveywebsite in the Data and Documentation section.

Sample size and data quality measures (including coverage rates, allocation rates, and response rates) can be found on the American CommunitySurvey website in the Methodology section.

Tell us what you think. Provide feedback to help make American Community Survey data more useful for you.

Although the American Community Survey (ACS) produces population, demographic and housing unit estimates, it is the Census Bureau's PopulationEstimates Program that produces and disseminates the official estimates of the population for the nation, states, counties, cities and towns andestimates of housing units for states and counties.

To view this table with statistical significance, select With Statistical Significance in the Action menu.A # next to a geography indicates when an estimate is not statistically significant from the estimate for the selected geography.The ## indicates the selected geography.

Rank Geographical Area Percent Margin of ErrorUnited States 10.1 +/-0.1

1 Indiana 18.8 +/-0.32 Michigan 18.4 +/-0.33 Wisconsin 18.1 +/-0.34 Ohio 15.5 +/-0.25 Kentucky 14.9 +/-0.46 Iowa 14.2 +/-0.47 Alabama 14.1 +/-0.58 South Carolina 13.8 +/-0.49 Minnesota 13.5 +/-0.310 Arkansas 13.4 +/-0.410 Mississippi 13.4 +/-0.512 Kansas 12.7 +/-0.512 Tennessee 12.7 +/-0.314 New Hampshire 12.2 +/-0.614 North Carolina 12.2 +/-0.316 Illinois 12.0 +/-0.217 Pennsylvania 11.8 +/-0.218 Missouri 11.7 +/-0.319 Oregon 11.2 +/-0.420 Vermont 10.9 +/-0.821 Rhode Island 10.8 +/-0.821 South Dakota 10.8 +/-0.823 Georgia 10.6 +/-0.324 Nebraska 10.5 +/-0.525 Connecticut 10.4 +/-0.426 Washington 10.2 +/-0.327 Utah 10.1 +/-0.528 Idaho 10.0 +/-0.6

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Rank Geographical Area Percent Margin of Error29 Oklahoma 9.5 +/-0.330 California 9.2 +/-0.131 Massachusetts 8.7 +/-0.332 Maine 8.5 +/-0.533 Texas 8.4 +/-0.133 West Virginia 8.4 +/-0.535 New Jersey 8.3 +/-0.236 Delaware 7.9 +/-0.837 Louisiana 7.4 +/-0.438 Arizona 7.0 +/-0.338 Virginia 7.0 +/-0.240 Colorado 6.7 +/-0.341 North Dakota 6.6 +/-0.742 New York 6.0 +/-0.143 Florida 5.0 +/-0.144 Alaska 4.3 +/-0.644 Maryland 4.3 +/-0.244 Montana 4.3 +/-0.444 Nevada 4.3 +/-0.348 Wyoming 4.0 +/-0.649 New Mexico 3.8 +/-0.450 Hawaii 2.8 +/-0.351 District of Columbia 1.2 +/-0.3

Puerto Rico 9.5 +/-0.6

Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability isrepresented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpretedroughly as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin oferror (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject tononsampling error (for a discussion of nonsampling variability, see Accuracy of the Data). The effect of nonsampling error is not represented in thesetables.

Industry codes are 4-digit codes and are based on the North American Industry Classification System 2012. The Industry categories adhere to theguidelines issued in Clarification Memorandum No. 2, "NAICS Alternate Aggregation Structure for Use By U.S. Statistical Agencies," issued by theOffice of Management and Budget.

While the 2016 American Community Survey (ACS) data generally reflect the February 2013 Office of Management and Budget (OMB) definitions ofmetropolitan and micropolitan statistical areas; in certain instances the names, codes, and boundaries of the principal cities shown in ACS tables maydiffer from the OMB definitions due to differences in the effective dates of the geographic entities.

Estimates of urban and rural population, housing units, and characteristics reflect boundaries of urban areas defined based on Census 2010 data. Asa result, data for urban and rural areas from the ACS do not necessarily reflect the results of ongoing urbanization.

Source: U.S. Census Bureau, 2016 American Community Survey 1-Year Estimates

Explanation of Symbols:

1. An '**' entry in the margin of error column indicates that either no sample observations or too few sample observations were available tocompute a standard error and thus the margin of error. A statistical test is not appropriate. 2. An '-' entry in the estimate column indicates that either no sample observations or too few sample observations were available to compute anestimate, or a ratio of medians cannot be calculated because one or both of the median estimates falls in the lowest interval or upper interval of anopen-ended distribution. 3. An '-' following a median estimate means the median falls in the lowest interval of an open-ended distribution. 4. An '+' following a median estimate means the median falls in the upper interval of an open-ended distribution. 5. An '***' entry in the margin of error column indicates that the median falls in the lowest interval or upper interval of an open-ended distribution. Astatistical test is not appropriate. 6. An '*****' entry in the margin of error column indicates that the estimate is controlled. A statistical test for sampling variability is not appropriate. 7. An 'N' entry in the estimate and margin of error columns indicates that data for this geographic area cannot be displayed because the number ofsample cases is too small. 8. An '(X)' means that the estimate is not applicable or not available.

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R2405 PERCENT OF CIVILIAN EMPLOYED POPULATION 16 YEARS AND OVER IN THE INFORMATIONINDUSTRY - United States -- States; and Puerto RicoUniverse: Civilian employed population 16 years and over2016 American Community Survey 1-Year Estimates

Supporting documentation on code lists, subject definitions, data accuracy, and statistical testing can be found on the American Community Surveywebsite in the Data and Documentation section.

Sample size and data quality measures (including coverage rates, allocation rates, and response rates) can be found on the American CommunitySurvey website in the Methodology section.

Tell us what you think. Provide feedback to help make American Community Survey data more useful for you.

Although the American Community Survey (ACS) produces population, demographic and housing unit estimates, it is the Census Bureau's PopulationEstimates Program that produces and disseminates the official estimates of the population for the nation, states, counties, cities and towns andestimates of housing units for states and counties.

To view this table with statistical significance, select With Statistical Significance in the Action menu.A # next to a geography indicates when an estimate is not statistically significant from the estimate for the selected geography.The ## indicates the selected geography.

Rank Geographical Area Percent Margin of ErrorUnited States 2.1 +/-0.1

1 District of Columbia 3.4 +/-0.52 California 2.9 +/-0.12 New York 2.9 +/-0.14 Colorado 2.8 +/-0.24 New Jersey 2.8 +/-0.16 Connecticut 2.3 +/-0.26 Georgia 2.3 +/-0.16 Massachusetts 2.3 +/-0.16 Utah 2.3 +/-0.26 Washington 2.3 +/-0.111 Alaska 2.2 +/-0.411 Wyoming 2.2 +/-0.513 Maryland 2.1 +/-0.113 New Hampshire 2.1 +/-0.315 Kansas 2.0 +/-0.215 Missouri 2.0 +/-0.115 Nebraska 2.0 +/-0.215 Virginia 2.0 +/-0.119 Oklahoma 1.9 +/-0.219 Oregon 1.9 +/-0.221 Arizona 1.8 +/-0.121 Florida 1.8 +/-0.121 Illinois 1.8 +/-0.121 Minnesota 1.8 +/-0.121 Montana 1.8 +/-0.321 North Carolina 1.8 +/-0.121 Texas 1.8 +/-0.128 Arkansas 1.7 +/-0.2

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Rank Geographical Area Percent Margin of Error28 Iowa 1.7 +/-0.228 Kentucky 1.7 +/-0.228 Louisiana 1.7 +/-0.228 Nevada 1.7 +/-0.228 New Mexico 1.7 +/-0.328 Pennsylvania 1.7 +/-0.128 Tennessee 1.7 +/-0.128 Vermont 1.7 +/-0.337 Alabama 1.6 +/-0.237 Idaho 1.6 +/-0.237 Ohio 1.6 +/-0.137 Rhode Island 1.6 +/-0.337 South Carolina 1.6 +/-0.237 West Virginia 1.6 +/-0.237 Wisconsin 1.6 +/-0.144 Indiana 1.5 +/-0.144 Maine 1.5 +/-0.244 Michigan 1.5 +/-0.144 North Dakota 1.5 +/-0.348 Hawaii 1.4 +/-0.249 Delaware 1.3 +/-0.349 South Dakota 1.3 +/-0.351 Mississippi 1.2 +/-0.2

Puerto Rico 1.9 +/-0.2

Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability isrepresented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpretedroughly as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin oferror (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject tononsampling error (for a discussion of nonsampling variability, see Accuracy of the Data). The effect of nonsampling error is not represented in thesetables.

Industry codes are 4-digit codes and are based on the North American Industry Classification System 2012. The Industry categories adhere to theguidelines issued in Clarification Memorandum No. 2, "NAICS Alternate Aggregation Structure for Use By U.S. Statistical Agencies," issued by theOffice of Management and Budget.

While the 2016 American Community Survey (ACS) data generally reflect the February 2013 Office of Management and Budget (OMB) definitions ofmetropolitan and micropolitan statistical areas; in certain instances the names, codes, and boundaries of the principal cities shown in ACS tables maydiffer from the OMB definitions due to differences in the effective dates of the geographic entities.

Estimates of urban and rural population, housing units, and characteristics reflect boundaries of urban areas defined based on Census 2010 data. Asa result, data for urban and rural areas from the ACS do not necessarily reflect the results of ongoing urbanization.

Source: U.S. Census Bureau, 2016 American Community Survey 1-Year Estimates

Explanation of Symbols:

1. An '**' entry in the margin of error column indicates that either no sample observations or too few sample observations were available tocompute a standard error and thus the margin of error. A statistical test is not appropriate. 2. An '-' entry in the estimate column indicates that either no sample observations or too few sample observations were available to compute anestimate, or a ratio of medians cannot be calculated because one or both of the median estimates falls in the lowest interval or upper interval of anopen-ended distribution. 3. An '-' following a median estimate means the median falls in the lowest interval of an open-ended distribution. 4. An '+' following a median estimate means the median falls in the upper interval of an open-ended distribution. 5. An '***' entry in the margin of error column indicates that the median falls in the lowest interval or upper interval of an open-ended distribution. Astatistical test is not appropriate. 6. An '*****' entry in the margin of error column indicates that the estimate is controlled. A statistical test for sampling variability is not appropriate. 7. An 'N' entry in the estimate and margin of error columns indicates that data for this geographic area cannot be displayed because the number ofsample cases is too small. 8. An '(X)' means that the estimate is not applicable or not available.

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R2406 PERCENT OF CIVILIAN EMPLOYED POPULATION 16 YEARS AND OVER WHO WERE PRIVATEWAGE AND SALARY WORKERS - United States -- States; and Puerto RicoUniverse: Civilian employed population 16 years and over2016 American Community Survey 1-Year Estimates

Supporting documentation on code lists, subject definitions, data accuracy, and statistical testing can be found on the American Community Surveywebsite in the Data and Documentation section.

Sample size and data quality measures (including coverage rates, allocation rates, and response rates) can be found on the American CommunitySurvey website in the Methodology section.

Tell us what you think. Provide feedback to help make American Community Survey data more useful for you.

Although the American Community Survey (ACS) produces population, demographic and housing unit estimates, it is the Census Bureau's PopulationEstimates Program that produces and disseminates the official estimates of the population for the nation, states, counties, cities and towns andestimates of housing units for states and counties.

To view this table with statistical significance, select With Statistical Significance in the Action menu.A # next to a geography indicates when an estimate is not statistically significant from the estimate for the selected geography.The ## indicates the selected geography.

Rank Geographical Area Percent Margin of ErrorUnited States 80.2 +/-0.1

1 Indiana 84.9 +/-0.32 Pennsylvania 84.8 +/-0.23 Michigan 84.6 +/-0.24 Illinois 83.4 +/-0.25 Nevada 83.3 +/-0.55 Ohio 83.3 +/-0.37 Minnesota 82.8 +/-0.38 Wisconsin 82.6 +/-0.29 Delaware 82.4 +/-0.99 Rhode Island 82.4 +/-1.011 Missouri 82.3 +/-0.411 New Jersey 82.3 +/-0.313 Florida 82.1 +/-0.214 Massachusetts 82.0 +/-0.315 Utah 81.0 +/-0.516 Kentucky 80.8 +/-0.517 Connecticut 80.6 +/-0.518 Nebraska 80.4 +/-0.619 Colorado 80.2 +/-0.419 Iowa 80.2 +/-0.419 New Hampshire 80.2 +/-0.819 North Carolina 80.2 +/-0.323 Georgia 80.1 +/-0.323 Texas 80.1 +/-0.225 South Carolina 79.9 +/-0.526 Tennessee 79.8 +/-0.327 Arizona 79.7 +/-0.427 Louisiana 79.7 +/-0.5

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Rank Geographical Area Percent Margin of Error29 Arkansas 79.3 +/-0.629 Oregon 79.3 +/-0.531 Alabama 79.2 +/-0.532 New York 79.0 +/-0.233 Kansas 78.4 +/-0.633 Vermont 78.4 +/-1.135 Washington 78.3 +/-0.336 California 78.2 +/-0.236 Maine 78.2 +/-0.738 North Dakota 77.9 +/-1.039 Idaho 77.4 +/-0.840 Oklahoma 76.6 +/-0.441 West Virginia 76.1 +/-0.942 South Dakota 76.0 +/-0.843 Mississippi 75.9 +/-0.644 Virginia 75.4 +/-0.445 Montana 74.6 +/-1.146 Maryland 73.4 +/-0.447 Wyoming 73.2 +/-1.348 Hawaii 73.1 +/-1.149 District of Columbia 71.1 +/-1.450 New Mexico 70.8 +/-0.851 Alaska 67.5 +/-1.3

Puerto Rico 69.0 +/-0.9

Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability isrepresented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpretedroughly as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin oferror (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject tononsampling error (for a discussion of nonsampling variability, see Accuracy of the Data). The effect of nonsampling error is not represented in thesetables.

While the 2016 American Community Survey (ACS) data generally reflect the February 2013 Office of Management and Budget (OMB) definitions ofmetropolitan and micropolitan statistical areas; in certain instances the names, codes, and boundaries of the principal cities shown in ACS tables maydiffer from the OMB definitions due to differences in the effective dates of the geographic entities.

Estimates of urban and rural population, housing units, and characteristics reflect boundaries of urban areas defined based on Census 2010 data. Asa result, data for urban and rural areas from the ACS do not necessarily reflect the results of ongoing urbanization.

Source: U.S. Census Bureau, 2016 American Community Survey 1-Year Estimates

Explanation of Symbols:

1. An '**' entry in the margin of error column indicates that either no sample observations or too few sample observations were available tocompute a standard error and thus the margin of error. A statistical test is not appropriate. 2. An '-' entry in the estimate column indicates that either no sample observations or too few sample observations were available to compute anestimate, or a ratio of medians cannot be calculated because one or both of the median estimates falls in the lowest interval or upper interval of anopen-ended distribution. 3. An '-' following a median estimate means the median falls in the lowest interval of an open-ended distribution. 4. An '+' following a median estimate means the median falls in the upper interval of an open-ended distribution. 5. An '***' entry in the margin of error column indicates that the median falls in the lowest interval or upper interval of an open-ended distribution. Astatistical test is not appropriate. 6. An '*****' entry in the margin of error column indicates that the estimate is controlled. A statistical test for sampling variability is not appropriate. 7. An 'N' entry in the estimate and margin of error columns indicates that data for this geographic area cannot be displayed because the number ofsample cases is too small. 8. An '(X)' means that the estimate is not applicable or not available.

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R2407 PERCENT OF CIVILIAN EMPLOYED POPULATION 16 YEARS AND OVER IN COMPUTER,ENGINEERING, AND SCIENCE OCCUPATIONS - United States -- States; and Puerto RicoUniverse: Civilian employed population 16 years and over2016 American Community Survey 1-Year Estimates

Supporting documentation on code lists, subject definitions, data accuracy, and statistical testing can be found on the American Community Surveywebsite in the Data and Documentation section.

Sample size and data quality measures (including coverage rates, allocation rates, and response rates) can be found on the American CommunitySurvey website in the Methodology section.

Tell us what you think. Provide feedback to help make American Community Survey data more useful for you.

Although the American Community Survey (ACS) produces population, demographic and housing unit estimates, it is the Census Bureau's PopulationEstimates Program that produces and disseminates the official estimates of the population for the nation, states, counties, cities and towns andestimates of housing units for states and counties.

To view this table with statistical significance, select With Statistical Significance in the Action menu.A # next to a geography indicates when an estimate is not statistically significant from the estimate for the selected geography.The ## indicates the selected geography.

Rank Geographical Area Percent Margin of ErrorUnited States 5.7 +/-0.1

1 District of Columbia 11.0 +/-0.92 Maryland 9.0 +/-0.33 Massachusetts 8.3 +/-0.24 Washington 8.2 +/-0.35 Virginia 8.1 +/-0.26 Colorado 7.8 +/-0.37 California 6.7 +/-0.18 New Hampshire 6.6 +/-0.58 Oregon 6.6 +/-0.310 Connecticut 6.5 +/-0.310 Utah 6.5 +/-0.412 Minnesota 6.4 +/-0.212 New Jersey 6.4 +/-0.214 Michigan 6.1 +/-0.215 Idaho 5.9 +/-0.516 Delaware 5.7 +/-0.617 Rhode Island 5.6 +/-0.517 Vermont 5.6 +/-0.519 Illinois 5.5 +/-0.219 Wisconsin 5.5 +/-0.221 Arizona 5.4 +/-0.221 New Mexico 5.4 +/-0.421 Pennsylvania 5.4 +/-0.121 Texas 5.4 +/-0.125 North Carolina 5.3 +/-0.226 Georgia 5.2 +/-0.226 Kansas 5.2 +/-0.328 Alaska 5.1 +/-0.6

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Rank Geographical Area Percent Margin of Error28 Ohio 5.1 +/-0.230 Alabama 4.9 +/-0.230 Iowa 4.9 +/-0.330 Missouri 4.9 +/-0.230 New York 4.9 +/-0.134 Nebraska 4.8 +/-0.335 North Dakota 4.7 +/-0.736 Hawaii 4.5 +/-0.336 Maine 4.5 +/-0.438 Montana 4.4 +/-0.438 South Carolina 4.4 +/-0.240 Indiana 4.3 +/-0.240 South Dakota 4.3 +/-0.440 Tennessee 4.3 +/-0.243 Florida 4.1 +/-0.144 Oklahoma 4.0 +/-0.245 Wyoming 3.9 +/-0.746 Kentucky 3.8 +/-0.246 West Virginia 3.8 +/-0.348 Arkansas 3.7 +/-0.348 Louisiana 3.7 +/-0.250 Nevada 3.5 +/-0.351 Mississippi 3.1 +/-0.3

Puerto Rico 2.9 +/-0.3

Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability isrepresented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpretedroughly as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin oferror (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject tononsampling error (for a discussion of nonsampling variability, see Accuracy of the Data). The effect of nonsampling error is not represented in thesetables.

Occupation codes are 4-digit codes and are based on Standard Occupational Classification 2010.

While the 2016 American Community Survey (ACS) data generally reflect the February 2013 Office of Management and Budget (OMB) definitions ofmetropolitan and micropolitan statistical areas; in certain instances the names, codes, and boundaries of the principal cities shown in ACS tables maydiffer from the OMB definitions due to differences in the effective dates of the geographic entities.

Estimates of urban and rural population, housing units, and characteristics reflect boundaries of urban areas defined based on Census 2010 data. Asa result, data for urban and rural areas from the ACS do not necessarily reflect the results of ongoing urbanization.

Source: U.S. Census Bureau, 2016 American Community Survey 1-Year Estimates

Explanation of Symbols:

1. An '**' entry in the margin of error column indicates that either no sample observations or too few sample observations were available tocompute a standard error and thus the margin of error. A statistical test is not appropriate. 2. An '-' entry in the estimate column indicates that either no sample observations or too few sample observations were available to compute anestimate, or a ratio of medians cannot be calculated because one or both of the median estimates falls in the lowest interval or upper interval of anopen-ended distribution. 3. An '-' following a median estimate means the median falls in the lowest interval of an open-ended distribution. 4. An '+' following a median estimate means the median falls in the upper interval of an open-ended distribution. 5. An '***' entry in the margin of error column indicates that the median falls in the lowest interval or upper interval of an open-ended distribution. Astatistical test is not appropriate. 6. An '*****' entry in the margin of error column indicates that the estimate is controlled. A statistical test for sampling variability is not appropriate. 7. An 'N' entry in the estimate and margin of error columns indicates that data for this geographic area cannot be displayed because the number ofsample cases is too small. 8. An '(X)' means that the estimate is not applicable or not available.

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R2408 PERCENT OF CIVILIAN EMPLOYED POPULATION 16 YEARS AND OVER IN HEALTHCAREPRACTITIONERS AND TECHNICAL OCCUPATIONS - United States -- States; and Puerto RicoUniverse: Civilian employed population 16 years and over2016 American Community Survey 1-Year Estimates

Supporting documentation on code lists, subject definitions, data accuracy, and statistical testing can be found on the American Community Surveywebsite in the Data and Documentation section.

Sample size and data quality measures (including coverage rates, allocation rates, and response rates) can be found on the American CommunitySurvey website in the Methodology section.

Tell us what you think. Provide feedback to help make American Community Survey data more useful for you.

Although the American Community Survey (ACS) produces population, demographic and housing unit estimates, it is the Census Bureau's PopulationEstimates Program that produces and disseminates the official estimates of the population for the nation, states, counties, cities and towns andestimates of housing units for states and counties.

To view this table with statistical significance, select With Statistical Significance in the Action menu.A # next to a geography indicates when an estimate is not statistically significant from the estimate for the selected geography.The ## indicates the selected geography.

Rank Geographical Area Percent Margin of ErrorUnited States 6.0 +/-0.1

1 West Virginia 7.9 +/-0.62 Delaware 7.7 +/-0.83 Kentucky 7.1 +/-0.33 Mississippi 7.1 +/-0.45 Louisiana 7.0 +/-0.35 Ohio 7.0 +/-0.25 Pennsylvania 7.0 +/-0.28 Alabama 6.9 +/-0.38 Massachusetts 6.9 +/-0.210 South Dakota 6.8 +/-0.511 Tennessee 6.7 +/-0.312 Maine 6.6 +/-0.412 Rhode Island 6.6 +/-0.614 Arkansas 6.5 +/-0.415 Michigan 6.4 +/-0.215 Vermont 6.4 +/-0.617 Minnesota 6.3 +/-0.217 New Hampshire 6.3 +/-0.419 Florida 6.2 +/-0.219 Maryland 6.2 +/-0.219 Missouri 6.2 +/-0.219 Wisconsin 6.2 +/-0.223 Idaho 6.1 +/-0.523 Indiana 6.1 +/-0.223 Montana 6.1 +/-0.623 New York 6.1 +/-0.123 North Carolina 6.1 +/-0.223 South Carolina 6.1 +/-0.3

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Rank Geographical Area Percent Margin of Error29 Iowa 6.0 +/-0.329 Kansas 6.0 +/-0.329 Nebraska 6.0 +/-0.329 New Jersey 6.0 +/-0.229 New Mexico 6.0 +/-0.429 North Dakota 6.0 +/-0.529 Wyoming 6.0 +/-0.736 Alaska 5.9 +/-0.536 Arizona 5.9 +/-0.236 Connecticut 5.9 +/-0.336 Oklahoma 5.9 +/-0.240 Illinois 5.7 +/-0.241 Virginia 5.6 +/-0.242 Colorado 5.5 +/-0.242 Oregon 5.5 +/-0.344 Hawaii 5.4 +/-0.444 Washington 5.4 +/-0.246 Georgia 5.3 +/-0.246 Texas 5.3 +/-0.148 California 5.1 +/-0.148 Utah 5.1 +/-0.350 Nevada 4.6 +/-0.351 District of Columbia 3.2 +/-0.6

Puerto Rico 6.6 +/-0.4

Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability isrepresented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpretedroughly as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin oferror (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject tononsampling error (for a discussion of nonsampling variability, see Accuracy of the Data). The effect of nonsampling error is not represented in thesetables.

Occupation codes are 4-digit codes and are based on Standard Occupational Classification 2010.

While the 2016 American Community Survey (ACS) data generally reflect the February 2013 Office of Management and Budget (OMB) definitions ofmetropolitan and micropolitan statistical areas; in certain instances the names, codes, and boundaries of the principal cities shown in ACS tables maydiffer from the OMB definitions due to differences in the effective dates of the geographic entities.

Estimates of urban and rural population, housing units, and characteristics reflect boundaries of urban areas defined based on Census 2010 data. Asa result, data for urban and rural areas from the ACS do not necessarily reflect the results of ongoing urbanization.

Source: U.S. Census Bureau, 2016 American Community Survey 1-Year Estimates

Explanation of Symbols:

1. An '**' entry in the margin of error column indicates that either no sample observations or too few sample observations were available tocompute a standard error and thus the margin of error. A statistical test is not appropriate. 2. An '-' entry in the estimate column indicates that either no sample observations or too few sample observations were available to compute anestimate, or a ratio of medians cannot be calculated because one or both of the median estimates falls in the lowest interval or upper interval of anopen-ended distribution. 3. An '-' following a median estimate means the median falls in the lowest interval of an open-ended distribution. 4. An '+' following a median estimate means the median falls in the upper interval of an open-ended distribution. 5. An '***' entry in the margin of error column indicates that the median falls in the lowest interval or upper interval of an open-ended distribution. Astatistical test is not appropriate. 6. An '*****' entry in the margin of error column indicates that the estimate is controlled. A statistical test for sampling variability is not appropriate. 7. An 'N' entry in the estimate and margin of error columns indicates that data for this geographic area cannot be displayed because the number ofsample cases is too small. 8. An '(X)' means that the estimate is not applicable or not available.

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R2501 PERCENT OF HOUSING UNITS THAT ARE MOBILE HOMES - United States -- States; and Puerto Rico

Universe: Total housing units2016 American Community Survey 1-Year Estimates

Supporting documentation on code lists, subject definitions, data accuracy, and statistical testing can be found on the American Community Surveywebsite in the Data and Documentation section.

Sample size and data quality measures (including coverage rates, allocation rates, and response rates) can be found on the American CommunitySurvey website in the Methodology section.

Tell us what you think. Provide feedback to help make American Community Survey data more useful for you.

Although the American Community Survey (ACS) produces population, demographic and housing unit estimates, it is the Census Bureau's PopulationEstimates Program that produces and disseminates the official estimates of the population for the nation, states, counties, cities and towns andestimates of housing units for states and counties.

To view this table with statistical significance, select With Statistical Significance in the Action menu.A # next to a geography indicates when an estimate is not statistically significant from the estimate for the selected geography.The ## indicates the selected geography.

Rank Geographical Area Percent Margin of ErrorUnited States 6.2 +/-0.1

1 New Mexico 16.5 +/-0.61 South Carolina 16.5 +/-0.43 West Virginia 15.4 +/-0.74 Mississippi 15.1 +/-0.65 Wyoming 13.4 +/-0.96 Alabama 13.3 +/-0.47 Louisiana 12.9 +/-0.47 North Carolina 12.9 +/-0.39 Kentucky 12.2 +/-0.410 Arkansas 11.8 +/-0.511 Arizona 10.7 +/-0.312 Montana 10.5 +/-0.513 Oklahoma 9.5 +/-0.214 Georgia 9.3 +/-0.215 Tennessee 9.2 +/-0.316 Florida 8.9 +/-0.117 South Dakota 8.6 +/-0.718 Maine 8.1 +/-0.418 Oregon 8.1 +/-0.320 Delaware 8.0 +/-0.721 Idaho 7.8 +/-0.522 Texas 7.3 +/-0.123 North Dakota 6.7 +/-0.524 Missouri 6.4 +/-0.225 Vermont 6.2 +/-0.525 Washington 6.2 +/-0.227 New Hampshire 5.6 +/-0.428 Michigan 5.3 +/-0.1

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Rank Geographical Area Percent Margin of Error28 Nevada 5.3 +/-0.330 Virginia 5.2 +/-0.231 Alaska 5.1 +/-0.732 Indiana 4.7 +/-0.233 Kansas 4.2 +/-0.334 Colorado 4.0 +/-0.235 Pennsylvania 3.9 +/-0.136 California 3.7 +/-0.136 Iowa 3.7 +/-0.236 Ohio 3.7 +/-0.139 Wisconsin 3.6 +/-0.140 Minnesota 3.3 +/-0.140 Nebraska 3.3 +/-0.342 Utah 3.1 +/-0.243 Illinois 2.5 +/-0.144 New York 2.3 +/-0.145 Maryland 1.4 +/-0.146 Rhode Island 1.0 +/-0.247 New Jersey 0.9 +/-0.148 Connecticut 0.8 +/-0.148 Massachusetts 0.8 +/-0.150 Hawaii 0.2 +/-0.151 District of Columbia 0.0 +/-0.1

Puerto Rico 0.3 +/-0.1

Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability isrepresented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpretedroughly as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin oferror (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject tononsampling error (for a discussion of nonsampling variability, see Accuracy of the Data). The effect of nonsampling error is not represented in thesetables.

While the 2016 American Community Survey (ACS) data generally reflect the February 2013 Office of Management and Budget (OMB) definitions ofmetropolitan and micropolitan statistical areas; in certain instances the names, codes, and boundaries of the principal cities shown in ACS tables maydiffer from the OMB definitions due to differences in the effective dates of the geographic entities.

Estimates of urban and rural population, housing units, and characteristics reflect boundaries of urban areas defined based on Census 2010 data. Asa result, data for urban and rural areas from the ACS do not necessarily reflect the results of ongoing urbanization.

Source: U.S. Census Bureau, 2016 American Community Survey 1-Year Estimates

Explanation of Symbols:

1. An '**' entry in the margin of error column indicates that either no sample observations or too few sample observations were available tocompute a standard error and thus the margin of error. A statistical test is not appropriate. 2. An '-' entry in the estimate column indicates that either no sample observations or too few sample observations were available to compute anestimate, or a ratio of medians cannot be calculated because one or both of the median estimates falls in the lowest interval or upper interval of anopen-ended distribution. 3. An '-' following a median estimate means the median falls in the lowest interval of an open-ended distribution. 4. An '+' following a median estimate means the median falls in the upper interval of an open-ended distribution. 5. An '***' entry in the margin of error column indicates that the median falls in the lowest interval or upper interval of an open-ended distribution. Astatistical test is not appropriate. 6. An '*****' entry in the margin of error column indicates that the estimate is controlled. A statistical test for sampling variability is not appropriate. 7. An 'N' entry in the estimate and margin of error columns indicates that data for this geographic area cannot be displayed because the number ofsample cases is too small. 8. An '(X)' means that the estimate is not applicable or not available.

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R2502 PERCENT OF HOUSING UNITS THAT WERE BUILT IN 2014 OR LATER - United States -- States; andPuerto RicoUniverse: Total housing units2016 American Community Survey 1-Year Estimates

Supporting documentation on code lists, subject definitions, data accuracy, and statistical testing can be found on the American Community Surveywebsite in the Data and Documentation section.

Sample size and data quality measures (including coverage rates, allocation rates, and response rates) can be found on the American CommunitySurvey website in the Methodology section.

Tell us what you think. Provide feedback to help make American Community Survey data more useful for you.

Although the American Community Survey (ACS) produces population, demographic and housing unit estimates, it is the Census Bureau's PopulationEstimates Program that produces and disseminates the official estimates of the population for the nation, states, counties, cities and towns andestimates of housing units for states and counties.

To view this table with statistical significance, select With Statistical Significance in the Action menu.A # next to a geography indicates when an estimate is not statistically significant from the estimate for the selected geography.The ## indicates the selected geography.

Rank Geographical Area Percent Margin of ErrorUnited States 1.4 +/-0.1

1 North Dakota 4.6 +/-0.62 Texas 3.1 +/-0.13 Utah 3.0 +/-0.34 Idaho 2.6 +/-0.45 Delaware 2.5 +/-0.45 District of Columbia 2.5 +/-0.47 South Dakota 2.4 +/-0.48 Colorado 2.3 +/-0.29 South Carolina 2.2 +/-0.110 Washington 2.1 +/-0.111 North Carolina 1.9 +/-0.112 Montana 1.8 +/-0.212 Oklahoma 1.8 +/-0.112 Tennessee 1.8 +/-0.115 Arizona 1.7 +/-0.115 Arkansas 1.7 +/-0.215 Florida 1.7 +/-0.115 Louisiana 1.7 +/-0.115 Nevada 1.7 +/-0.220 Georgia 1.6 +/-0.120 Iowa 1.6 +/-0.220 Nebraska 1.6 +/-0.220 Wyoming 1.6 +/-0.424 New Mexico 1.5 +/-0.224 Oregon 1.5 +/-0.224 Virginia 1.5 +/-0.127 Maryland 1.4 +/-0.127 Minnesota 1.4 +/-0.1

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Rank Geographical Area Percent Margin of Error27 Mississippi 1.4 +/-0.230 Alabama 1.3 +/-0.130 Hawaii 1.3 +/-0.332 Kansas 1.2 +/-0.232 Kentucky 1.2 +/-0.134 Indiana 1.1 +/-0.134 Missouri 1.1 +/-0.134 New Jersey 1.1 +/-0.137 Alaska 1.0 +/-0.337 California 1.0 +/-0.137 Massachusetts 1.0 +/-0.137 New Hampshire 1.0 +/-0.241 Maine 0.9 +/-0.241 Vermont 0.9 +/-0.241 Wisconsin 0.9 +/-0.144 Ohio 0.8 +/-0.144 Pennsylvania 0.8 +/-0.144 West Virginia 0.8 +/-0.247 Illinois 0.7 +/-0.147 Michigan 0.7 +/-0.149 Connecticut 0.6 +/-0.149 New York 0.6 +/-0.151 Rhode Island 0.2 +/-0.1

Puerto Rico 0.2 +/-0.1

Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability isrepresented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpretedroughly as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin oferror (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject tononsampling error (for a discussion of nonsampling variability, see Accuracy of the Data). The effect of nonsampling error is not represented in thesetables.

While the 2016 American Community Survey (ACS) data generally reflect the February 2013 Office of Management and Budget (OMB) definitions ofmetropolitan and micropolitan statistical areas; in certain instances the names, codes, and boundaries of the principal cities shown in ACS tables maydiffer from the OMB definitions due to differences in the effective dates of the geographic entities.

Estimates of urban and rural population, housing units, and characteristics reflect boundaries of urban areas defined based on Census 2010 data. Asa result, data for urban and rural areas from the ACS do not necessarily reflect the results of ongoing urbanization.

Source: U.S. Census Bureau, 2016 American Community Survey 1-Year Estimates

Explanation of Symbols:

1. An '**' entry in the margin of error column indicates that either no sample observations or too few sample observations were available tocompute a standard error and thus the margin of error. A statistical test is not appropriate. 2. An '-' entry in the estimate column indicates that either no sample observations or too few sample observations were available to compute anestimate, or a ratio of medians cannot be calculated because one or both of the median estimates falls in the lowest interval or upper interval of anopen-ended distribution. 3. An '-' following a median estimate means the median falls in the lowest interval of an open-ended distribution. 4. An '+' following a median estimate means the median falls in the upper interval of an open-ended distribution. 5. An '***' entry in the margin of error column indicates that the median falls in the lowest interval or upper interval of an open-ended distribution. Astatistical test is not appropriate. 6. An '*****' entry in the margin of error column indicates that the estimate is controlled. A statistical test for sampling variability is not appropriate. 7. An 'N' entry in the estimate and margin of error columns indicates that data for this geographic area cannot be displayed because the number ofsample cases is too small. 8. An '(X)' means that the estimate is not applicable or not available.

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R2503 PERCENT OF HOUSING UNITS THAT WERE BUILT IN 1939 OR EARLIER - United States -- States;and Puerto RicoUniverse: Total housing units2016 American Community Survey 1-Year Estimates

Supporting documentation on code lists, subject definitions, data accuracy, and statistical testing can be found on the American Community Surveywebsite in the Data and Documentation section.

Sample size and data quality measures (including coverage rates, allocation rates, and response rates) can be found on the American CommunitySurvey website in the Methodology section.

Tell us what you think. Provide feedback to help make American Community Survey data more useful for you.

Although the American Community Survey (ACS) produces population, demographic and housing unit estimates, it is the Census Bureau's PopulationEstimates Program that produces and disseminates the official estimates of the population for the nation, states, counties, cities and towns andestimates of housing units for states and counties.

To view this table with statistical significance, select With Statistical Significance in the Action menu.A # next to a geography indicates when an estimate is not statistically significant from the estimate for the selected geography.The ## indicates the selected geography.

Rank Geographical Area Percent Margin of ErrorUnited States 12.8 +/-0.1

1 District of Columbia 33.4 +/-1.12 Massachusetts 33.3 +/-0.43 New York 32.5 +/-0.24 Rhode Island 30.5 +/-1.15 Pennsylvania 26.2 +/-0.36 Iowa 25.7 +/-0.57 Vermont 24.2 +/-0.98 Maine 23.3 +/-0.69 Connecticut 22.4 +/-0.610 Illinois 21.5 +/-0.211 Nebraska 21.2 +/-0.612 New Hampshire 20.7 +/-0.813 Ohio 20.6 +/-0.314 Wisconsin 19.3 +/-0.315 New Jersey 18.3 +/-0.316 South Dakota 17.9 +/-0.817 Indiana 17.4 +/-0.318 Kansas 16.5 +/-0.419 Minnesota 16.3 +/-0.320 West Virginia 16.2 +/-0.521 Michigan 14.6 +/-0.222 Montana 14.5 +/-0.623 Missouri 14.4 +/-0.324 North Dakota 13.5 +/-0.725 Maryland 12.1 +/-0.226 Oregon 11.5 +/-0.427 Wyoming 11.1 +/-0.928 Washington 10.5 +/-0.3

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Rank Geographical Area Percent Margin of Error29 Kentucky 9.8 +/-0.330 California 9.1 +/-0.131 Idaho 8.2 +/-0.432 Colorado 7.9 +/-0.233 Oklahoma 7.8 +/-0.234 Delaware 7.6 +/-0.634 Virginia 7.6 +/-0.236 Utah 7.2 +/-0.337 Louisiana 7.1 +/-0.238 Tennessee 6.1 +/-0.239 Alabama 5.2 +/-0.239 North Carolina 5.2 +/-0.241 Arkansas 5.1 +/-0.342 Mississippi 4.5 +/-0.343 Georgia 4.3 +/-0.143 New Mexico 4.3 +/-0.345 South Carolina 4.1 +/-0.246 Hawaii 3.9 +/-0.447 Texas 3.6 +/-0.148 Florida 2.1 +/-0.149 Arizona 1.6 +/-0.150 Alaska 1.4 +/-0.251 Nevada 1.2 +/-0.1

Puerto Rico 2.0 +/-0.2

Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability isrepresented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpretedroughly as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin oferror (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject tononsampling error (for a discussion of nonsampling variability, see Accuracy of the Data). The effect of nonsampling error is not represented in thesetables.

While the 2016 American Community Survey (ACS) data generally reflect the February 2013 Office of Management and Budget (OMB) definitions ofmetropolitan and micropolitan statistical areas; in certain instances the names, codes, and boundaries of the principal cities shown in ACS tables maydiffer from the OMB definitions due to differences in the effective dates of the geographic entities.

Estimates of urban and rural population, housing units, and characteristics reflect boundaries of urban areas defined based on Census 2010 data. Asa result, data for urban and rural areas from the ACS do not necessarily reflect the results of ongoing urbanization.

Source: U.S. Census Bureau, 2016 American Community Survey 1-Year Estimates

Explanation of Symbols:

1. An '**' entry in the margin of error column indicates that either no sample observations or too few sample observations were available tocompute a standard error and thus the margin of error. A statistical test is not appropriate. 2. An '-' entry in the estimate column indicates that either no sample observations or too few sample observations were available to compute anestimate, or a ratio of medians cannot be calculated because one or both of the median estimates falls in the lowest interval or upper interval of anopen-ended distribution. 3. An '-' following a median estimate means the median falls in the lowest interval of an open-ended distribution. 4. An '+' following a median estimate means the median falls in the upper interval of an open-ended distribution. 5. An '***' entry in the margin of error column indicates that the median falls in the lowest interval or upper interval of an open-ended distribution. Astatistical test is not appropriate. 6. An '*****' entry in the margin of error column indicates that the estimate is controlled. A statistical test for sampling variability is not appropriate. 7. An 'N' entry in the estimate and margin of error columns indicates that data for this geographic area cannot be displayed because the number ofsample cases is too small. 8. An '(X)' means that the estimate is not applicable or not available.

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R2504 PERCENT OF OCCUPIED HOUSING UNITS THAT WERE MOVED INTO IN 2015 OR LATER - UnitedStates -- States; and Puerto RicoUniverse: Occupied housing units2016 American Community Survey 1-Year Estimates

Supporting documentation on code lists, subject definitions, data accuracy, and statistical testing can be found on the American Community Surveywebsite in the Data and Documentation section.

Sample size and data quality measures (including coverage rates, allocation rates, and response rates) can be found on the American CommunitySurvey website in the Methodology section.

Tell us what you think. Provide feedback to help make American Community Survey data more useful for you.

Although the American Community Survey (ACS) produces population, demographic and housing unit estimates, it is the Census Bureau's PopulationEstimates Program that produces and disseminates the official estimates of the population for the nation, states, counties, cities and towns andestimates of housing units for states and counties.

To view this table with statistical significance, select With Statistical Significance in the Action menu.A # next to a geography indicates when an estimate is not statistically significant from the estimate for the selected geography.The ## indicates the selected geography.

Rank Geographical Area Percent Margin of ErrorUnited States 19.1 +/-0.1

1 Nevada 25.0 +/-0.62 Arizona 23.9 +/-0.52 Colorado 23.9 +/-0.54 District of Columbia 23.8 +/-1.25 Texas 22.9 +/-0.26 North Dakota 22.6 +/-1.17 Washington 22.5 +/-0.48 Utah 22.4 +/-0.69 Oregon 22.2 +/-0.510 Alaska 22.1 +/-1.210 Idaho 22.1 +/-0.912 Oklahoma 21.7 +/-0.513 Georgia 21.4 +/-0.414 Wyoming 21.3 +/-1.615 Florida 21.2 +/-0.216 Nebraska 20.9 +/-0.717 Arkansas 20.6 +/-0.717 Kansas 20.6 +/-0.519 North Carolina 19.7 +/-0.319 South Dakota 19.7 +/-1.021 Missouri 19.6 +/-0.422 Tennessee 19.5 +/-0.423 Virginia 19.4 +/-0.424 Indiana 19.2 +/-0.425 Hawaii 19.1 +/-0.926 Kentucky 18.9 +/-0.526 Montana 18.9 +/-0.926 New Mexico 18.9 +/-0.7

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Rank Geographical Area Percent Margin of Error29 California 18.4 +/-0.229 Iowa 18.4 +/-0.529 Ohio 18.4 +/-0.332 Louisiana 18.3 +/-0.532 Wisconsin 18.3 +/-0.334 Minnesota 18.2 +/-0.434 South Carolina 18.2 +/-0.636 Illinois 17.9 +/-0.336 Michigan 17.9 +/-0.338 Maryland 17.8 +/-0.438 New Hampshire 17.8 +/-0.940 Alabama 17.4 +/-0.541 Vermont 17.2 +/-1.242 Rhode Island 17.0 +/-1.043 Mississippi 16.5 +/-0.644 Massachusetts 16.4 +/-0.345 Delaware 16.2 +/-0.846 Connecticut 16.1 +/-0.447 Pennsylvania 15.3 +/-0.248 Maine 15.0 +/-0.748 New Jersey 15.0 +/-0.350 New York 14.0 +/-0.250 West Virginia 14.0 +/-0.6

Puerto Rico 9.6 +/-0.4

Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability isrepresented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpretedroughly as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin oferror (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject tononsampling error (for a discussion of nonsampling variability, see Accuracy of the Data). The effect of nonsampling error is not represented in thesetables.

While the 2016 American Community Survey (ACS) data generally reflect the February 2013 Office of Management and Budget (OMB) definitions ofmetropolitan and micropolitan statistical areas; in certain instances the names, codes, and boundaries of the principal cities shown in ACS tables maydiffer from the OMB definitions due to differences in the effective dates of the geographic entities.

Estimates of urban and rural population, housing units, and characteristics reflect boundaries of urban areas defined based on Census 2010 data. Asa result, data for urban and rural areas from the ACS do not necessarily reflect the results of ongoing urbanization.

Source: U.S. Census Bureau, 2016 American Community Survey 1-Year Estimates

Explanation of Symbols:

1. An '**' entry in the margin of error column indicates that either no sample observations or too few sample observations were available tocompute a standard error and thus the margin of error. A statistical test is not appropriate. 2. An '-' entry in the estimate column indicates that either no sample observations or too few sample observations were available to compute anestimate, or a ratio of medians cannot be calculated because one or both of the median estimates falls in the lowest interval or upper interval of anopen-ended distribution. 3. An '-' following a median estimate means the median falls in the lowest interval of an open-ended distribution. 4. An '+' following a median estimate means the median falls in the upper interval of an open-ended distribution. 5. An '***' entry in the margin of error column indicates that the median falls in the lowest interval or upper interval of an open-ended distribution. Astatistical test is not appropriate. 6. An '*****' entry in the margin of error column indicates that the estimate is controlled. A statistical test for sampling variability is not appropriate. 7. An 'N' entry in the estimate and margin of error columns indicates that data for this geographic area cannot be displayed because the number ofsample cases is too small. 8. An '(X)' means that the estimate is not applicable or not available.

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R2505 PERCENT OF OCCUPIED HOUSING UNITS WITH GAS AS PRINCIPAL HEATING FUEL - United States-- States; and Puerto RicoUniverse: Occupied housing units2016 American Community Survey 1-Year Estimates

Supporting documentation on code lists, subject definitions, data accuracy, and statistical testing can be found on the American Community Surveywebsite in the Data and Documentation section.

Sample size and data quality measures (including coverage rates, allocation rates, and response rates) can be found on the American CommunitySurvey website in the Methodology section.

Tell us what you think. Provide feedback to help make American Community Survey data more useful for you.

Although the American Community Survey (ACS) produces population, demographic and housing unit estimates, it is the Census Bureau's PopulationEstimates Program that produces and disseminates the official estimates of the population for the nation, states, counties, cities and towns andestimates of housing units for states and counties.

To view this table with statistical significance, select With Statistical Significance in the Action menu.A # next to a geography indicates when an estimate is not statistically significant from the estimate for the selected geography.The ## indicates the selected geography.

Rank Geographical Area Percent Margin of ErrorUnited States 52.7 +/-0.1

1 Michigan 85.0 +/-0.22 Utah 84.6 +/-0.63 Illinois 81.6 +/-0.34 New Jersey 76.7 +/-0.35 Minnesota 76.4 +/-0.46 Wisconsin 76.3 +/-0.37 Colorado 74.0 +/-0.58 Iowa 73.8 +/-0.69 Kansas 72.9 +/-0.69 New Mexico 72.9 +/-0.711 Wyoming 70.9 +/-1.212 Ohio 70.8 +/-0.313 California 67.2 +/-0.214 Indiana 67.0 +/-0.415 Nebraska 65.5 +/-0.616 Montana 64.0 +/-1.117 New York 62.4 +/-0.318 Nevada 61.8 +/-0.619 South Dakota 61.5 +/-1.120 Missouri 60.0 +/-0.421 Oklahoma 58.7 +/-0.522 Idaho 56.8 +/-1.122 Rhode Island 56.8 +/-1.024 Pennsylvania 55.9 +/-0.325 Massachusetts 54.8 +/-0.526 District of Columbia 54.0 +/-1.427 Delaware 53.6 +/-1.228 North Dakota 53.1 +/-1.3

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Rank Geographical Area Percent Margin of Error29 Alaska 50.3 +/-1.030 Maryland 47.3 +/-0.531 West Virginia 45.8 +/-0.832 Arkansas 45.4 +/-0.833 Georgia 44.0 +/-0.434 Kentucky 43.4 +/-0.635 Mississippi 42.0 +/-0.636 Oregon 39.4 +/-0.537 Connecticut 39.2 +/-0.738 Texas 38.6 +/-0.239 Virginia 37.6 +/-0.440 Washington 37.3 +/-0.441 New Hampshire 36.9 +/-0.842 Tennessee 35.9 +/-0.443 Louisiana 35.5 +/-0.644 Arizona 35.0 +/-0.445 Vermont 34.9 +/-1.246 Alabama 34.5 +/-0.547 North Carolina 31.4 +/-0.348 South Carolina 25.8 +/-0.549 Maine 17.8 +/-0.950 Florida 5.4 +/-0.151 Hawaii 3.3 +/-0.3

Puerto Rico 1.2 +/-0.1

Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability isrepresented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpretedroughly as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin oferror (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject tononsampling error (for a discussion of nonsampling variability, see Accuracy of the Data). The effect of nonsampling error is not represented in thesetables.

While the 2016 American Community Survey (ACS) data generally reflect the February 2013 Office of Management and Budget (OMB) definitions ofmetropolitan and micropolitan statistical areas; in certain instances the names, codes, and boundaries of the principal cities shown in ACS tables maydiffer from the OMB definitions due to differences in the effective dates of the geographic entities.

Estimates of urban and rural population, housing units, and characteristics reflect boundaries of urban areas defined based on Census 2010 data. Asa result, data for urban and rural areas from the ACS do not necessarily reflect the results of ongoing urbanization.

Source: U.S. Census Bureau, 2016 American Community Survey 1-Year Estimates

Explanation of Symbols:

1. An '**' entry in the margin of error column indicates that either no sample observations or too few sample observations were available tocompute a standard error and thus the margin of error. A statistical test is not appropriate. 2. An '-' entry in the estimate column indicates that either no sample observations or too few sample observations were available to compute anestimate, or a ratio of medians cannot be calculated because one or both of the median estimates falls in the lowest interval or upper interval of anopen-ended distribution. 3. An '-' following a median estimate means the median falls in the lowest interval of an open-ended distribution. 4. An '+' following a median estimate means the median falls in the upper interval of an open-ended distribution. 5. An '***' entry in the margin of error column indicates that the median falls in the lowest interval or upper interval of an open-ended distribution. Astatistical test is not appropriate. 6. An '*****' entry in the margin of error column indicates that the estimate is controlled. A statistical test for sampling variability is not appropriate. 7. An 'N' entry in the estimate and margin of error columns indicates that data for this geographic area cannot be displayed because the number ofsample cases is too small. 8. An '(X)' means that the estimate is not applicable or not available.

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R2506 PERCENT OF OCCUPIED HOUSING UNITS WITH ELECTRICITY AS PRINCIPAL HEATING FUEL -United States -- States; and Puerto RicoUniverse: Occupied housing units2016 American Community Survey 1-Year Estimates

Supporting documentation on code lists, subject definitions, data accuracy, and statistical testing can be found on the American Community Surveywebsite in the Data and Documentation section.

Sample size and data quality measures (including coverage rates, allocation rates, and response rates) can be found on the American CommunitySurvey website in the Methodology section.

Tell us what you think. Provide feedback to help make American Community Survey data more useful for you.

Although the American Community Survey (ACS) produces population, demographic and housing unit estimates, it is the Census Bureau's PopulationEstimates Program that produces and disseminates the official estimates of the population for the nation, states, counties, cities and towns andestimates of housing units for states and counties.

To view this table with statistical significance, select With Statistical Significance in the Action menu.A # next to a geography indicates when an estimate is not statistically significant from the estimate for the selected geography.The ## indicates the selected geography.

Rank Geographical Area Percent Margin of ErrorUnited States 38.7 +/-0.1

1 Florida 92.4 +/-0.12 South Carolina 72.0 +/-0.53 Alabama 63.9 +/-0.54 Louisiana 63.4 +/-0.65 North Carolina 63.2 +/-0.46 Arizona 61.6 +/-0.47 Tennessee 61.4 +/-0.48 Texas 60.4 +/-0.29 Mississippi 55.9 +/-0.610 Washington 55.7 +/-0.411 Georgia 54.5 +/-0.412 Virginia 54.4 +/-0.413 Kentucky 52.3 +/-0.514 Oregon 51.0 +/-0.515 Arkansas 50.3 +/-0.716 West Virginia 44.2 +/-0.817 District of Columbia 42.8 +/-1.418 Maryland 41.4 +/-0.519 North Dakota 41.3 +/-1.220 Oklahoma 38.7 +/-0.521 Missouri 35.5 +/-0.422 Nevada 35.1 +/-0.723 Idaho 33.5 +/-1.124 South Dakota 32.7 +/-1.025 Delaware 32.6 +/-1.226 Nebraska 31.9 +/-0.627 Indiana 29.2 +/-0.428 Hawaii 28.5 +/-0.9

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Rank Geographical Area Percent Margin of Error29 California 26.7 +/-0.230 Montana 25.0 +/-1.231 Kansas 24.6 +/-0.532 Ohio 23.8 +/-0.333 Iowa 23.0 +/-0.533 Pennsylvania 23.0 +/-0.335 Colorado 22.7 +/-0.536 Wyoming 22.1 +/-1.137 New Mexico 18.3 +/-0.638 Minnesota 17.6 +/-0.339 Connecticut 17.0 +/-0.540 Illinois 16.5 +/-0.241 Wisconsin 16.3 +/-0.342 Massachusetts 15.7 +/-0.443 New Jersey 13.3 +/-0.344 Utah 13.2 +/-0.545 Alaska 12.2 +/-0.946 New York 11.9 +/-0.247 Rhode Island 10.7 +/-0.848 Michigan 9.5 +/-0.249 New Hampshire 9.3 +/-0.650 Maine 6.3 +/-0.551 Vermont 5.5 +/-0.7

Puerto Rico 11.4 +/-0.4

Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability isrepresented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpretedroughly as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin oferror (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject tononsampling error (for a discussion of nonsampling variability, see Accuracy of the Data). The effect of nonsampling error is not represented in thesetables.

While the 2016 American Community Survey (ACS) data generally reflect the February 2013 Office of Management and Budget (OMB) definitions ofmetropolitan and micropolitan statistical areas; in certain instances the names, codes, and boundaries of the principal cities shown in ACS tables maydiffer from the OMB definitions due to differences in the effective dates of the geographic entities.

Estimates of urban and rural population, housing units, and characteristics reflect boundaries of urban areas defined based on Census 2010 data. Asa result, data for urban and rural areas from the ACS do not necessarily reflect the results of ongoing urbanization.

Source: U.S. Census Bureau, 2016 American Community Survey 1-Year Estimates

Explanation of Symbols:

1. An '**' entry in the margin of error column indicates that either no sample observations or too few sample observations were available tocompute a standard error and thus the margin of error. A statistical test is not appropriate. 2. An '-' entry in the estimate column indicates that either no sample observations or too few sample observations were available to compute anestimate, or a ratio of medians cannot be calculated because one or both of the median estimates falls in the lowest interval or upper interval of anopen-ended distribution. 3. An '-' following a median estimate means the median falls in the lowest interval of an open-ended distribution. 4. An '+' following a median estimate means the median falls in the upper interval of an open-ended distribution. 5. An '***' entry in the margin of error column indicates that the median falls in the lowest interval or upper interval of an open-ended distribution. Astatistical test is not appropriate. 6. An '*****' entry in the margin of error column indicates that the estimate is controlled. A statistical test for sampling variability is not appropriate. 7. An 'N' entry in the estimate and margin of error columns indicates that data for this geographic area cannot be displayed because the number ofsample cases is too small. 8. An '(X)' means that the estimate is not applicable or not available.

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R2507 PERCENT OF OCCUPIED HOUSING UNITS WITH FUEL OIL, KEROSENE, ETC. AS PRINCIPALHEATING FUEL - United States -- States; and Puerto RicoUniverse: Occupied housing units2016 American Community Survey 1-Year Estimates

Supporting documentation on code lists, subject definitions, data accuracy, and statistical testing can be found on the American Community Surveywebsite in the Data and Documentation section.

Sample size and data quality measures (including coverage rates, allocation rates, and response rates) can be found on the American CommunitySurvey website in the Methodology section.

Tell us what you think. Provide feedback to help make American Community Survey data more useful for you.

Although the American Community Survey (ACS) produces population, demographic and housing unit estimates, it is the Census Bureau's PopulationEstimates Program that produces and disseminates the official estimates of the population for the nation, states, counties, cities and towns andestimates of housing units for states and counties.

To view this table with statistical significance, select With Statistical Significance in the Action menu.A # next to a geography indicates when an estimate is not statistically significant from the estimate for the selected geography.The ## indicates the selected geography.

Rank Geographical Area Percent Margin of ErrorUnited States 4.8 +/-0.1

1 Maine 62.8 +/-1.02 New Hampshire 44.0 +/-0.83 Vermont 41.8 +/-1.24 Connecticut 40.8 +/-0.75 Rhode Island 30.0 +/-1.06 Alaska 28.5 +/-1.17 Massachusetts 26.7 +/-0.38 New York 21.4 +/-0.29 Pennsylvania 16.3 +/-0.210 Delaware 11.7 +/-0.811 Maryland 8.9 +/-0.312 New Jersey 8.5 +/-0.213 Virginia 4.7 +/-0.214 North Carolina 3.1 +/-0.115 North Dakota 2.7 +/-0.215 West Virginia 2.7 +/-0.317 Ohio 2.2 +/-0.118 South Dakota 2.1 +/-0.219 Oregon 2.0 +/-0.219 Wisconsin 2.0 +/-0.121 Minnesota 1.8 +/-0.121 Washington 1.8 +/-0.123 Idaho 1.4 +/-0.224 District of Columbia 1.3 +/-0.325 Michigan 1.1 +/-0.126 Montana 1.0 +/-0.227 Kentucky 0.9 +/-0.128 South Carolina 0.8 +/-0.1

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Rank Geographical Area Percent Margin of Error29 Indiana 0.7 +/-0.129 Nevada 0.7 +/-0.131 Iowa 0.5 +/-0.132 Tennessee 0.4 +/-0.132 Wyoming 0.4 +/-0.234 Nebraska 0.3 +/-0.135 Alabama 0.2 +/-0.135 California 0.2 +/-0.135 Georgia 0.2 +/-0.135 Kansas 0.2 +/-0.135 Mississippi 0.2 +/-0.135 Missouri 0.2 +/-0.135 New Mexico 0.2 +/-0.135 Oklahoma 0.2 +/-0.143 Arizona 0.1 +/-0.143 Arkansas 0.1 +/-0.143 Colorado 0.1 +/-0.143 Florida 0.1 +/-0.143 Hawaii 0.1 +/-0.143 Illinois 0.1 +/-0.143 Louisiana 0.1 +/-0.143 Texas 0.1 +/-0.143 Utah 0.1 +/-0.1

Puerto Rico 0.0 +/-0.1

Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability isrepresented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpretedroughly as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin oferror (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject tononsampling error (for a discussion of nonsampling variability, see Accuracy of the Data). The effect of nonsampling error is not represented in thesetables.

While the 2016 American Community Survey (ACS) data generally reflect the February 2013 Office of Management and Budget (OMB) definitions ofmetropolitan and micropolitan statistical areas; in certain instances the names, codes, and boundaries of the principal cities shown in ACS tables maydiffer from the OMB definitions due to differences in the effective dates of the geographic entities.

Estimates of urban and rural population, housing units, and characteristics reflect boundaries of urban areas defined based on Census 2010 data. Asa result, data for urban and rural areas from the ACS do not necessarily reflect the results of ongoing urbanization.

Source: U.S. Census Bureau, 2016 American Community Survey 1-Year Estimates

Explanation of Symbols:

1. An '**' entry in the margin of error column indicates that either no sample observations or too few sample observations were available tocompute a standard error and thus the margin of error. A statistical test is not appropriate. 2. An '-' entry in the estimate column indicates that either no sample observations or too few sample observations were available to compute anestimate, or a ratio of medians cannot be calculated because one or both of the median estimates falls in the lowest interval or upper interval of anopen-ended distribution. 3. An '-' following a median estimate means the median falls in the lowest interval of an open-ended distribution. 4. An '+' following a median estimate means the median falls in the upper interval of an open-ended distribution. 5. An '***' entry in the margin of error column indicates that the median falls in the lowest interval or upper interval of an open-ended distribution. Astatistical test is not appropriate. 6. An '*****' entry in the margin of error column indicates that the estimate is controlled. A statistical test for sampling variability is not appropriate. 7. An 'N' entry in the estimate and margin of error columns indicates that data for this geographic area cannot be displayed because the number ofsample cases is too small. 8. An '(X)' means that the estimate is not applicable or not available.

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R2509 PERCENT OF OCCUPIED HOUSING UNITS WITH 1.01 OR MORE OCCUPANTS PER ROOM - UnitedStates -- States; and Puerto RicoUniverse: Occupied housing units2016 American Community Survey 1-Year Estimates

Supporting documentation on code lists, subject definitions, data accuracy, and statistical testing can be found on the American Community Surveywebsite in the Data and Documentation section.

Sample size and data quality measures (including coverage rates, allocation rates, and response rates) can be found on the American CommunitySurvey website in the Methodology section.

Tell us what you think. Provide feedback to help make American Community Survey data more useful for you.

Although the American Community Survey (ACS) produces population, demographic and housing unit estimates, it is the Census Bureau's PopulationEstimates Program that produces and disseminates the official estimates of the population for the nation, states, counties, cities and towns andestimates of housing units for states and counties.

To view this table with statistical significance, select With Statistical Significance in the Action menu.A # next to a geography indicates when an estimate is not statistically significant from the estimate for the selected geography.The ## indicates the selected geography.

Rank Geographical Area Percent Margin of ErrorUnited States 3.4 +/-0.1

1 Hawaii 9.1 +/-0.72 California 8.4 +/-0.13 Alaska 6.8 +/-0.74 New York 5.3 +/-0.15 Texas 5.0 +/-0.16 Arizona 4.6 +/-0.27 Nevada 4.1 +/-0.37 New Mexico 4.1 +/-0.39 District of Columbia 4.0 +/-0.810 Utah 3.6 +/-0.311 Washington 3.3 +/-0.212 Oregon 3.2 +/-0.313 Arkansas 3.1 +/-0.313 New Jersey 3.1 +/-0.215 Florida 3.0 +/-0.116 Idaho 2.8 +/-0.416 Oklahoma 2.8 +/-0.218 Colorado 2.7 +/-0.219 Illinois 2.5 +/-0.120 Louisiana 2.4 +/-0.220 Mississippi 2.4 +/-0.322 Georgia 2.3 +/-0.222 Maryland 2.3 +/-0.222 North Carolina 2.3 +/-0.125 Minnesota 2.2 +/-0.225 South Dakota 2.2 +/-0.325 Tennessee 2.2 +/-0.228 Kansas 2.1 +/-0.2

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Rank Geographical Area Percent Margin of Error28 Montana 2.1 +/-0.428 Nebraska 2.1 +/-0.328 North Dakota 2.1 +/-0.528 Vermont 2.1 +/-0.528 Wyoming 2.1 +/-0.534 Kentucky 2.0 +/-0.234 Virginia 2.0 +/-0.236 Massachusetts 1.9 +/-0.236 Rhode Island 1.9 +/-0.338 Connecticut 1.8 +/-0.238 Indiana 1.8 +/-0.138 Iowa 1.8 +/-0.241 Delaware 1.7 +/-0.441 Michigan 1.7 +/-0.141 Missouri 1.7 +/-0.141 South Carolina 1.7 +/-0.241 Wisconsin 1.7 +/-0.146 Alabama 1.6 +/-0.246 Maine 1.6 +/-0.248 Ohio 1.4 +/-0.148 Pennsylvania 1.4 +/-0.148 West Virginia 1.4 +/-0.251 New Hampshire 1.3 +/-0.3

Puerto Rico 3.0 +/-0.2

Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability isrepresented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpretedroughly as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin oferror (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject tononsampling error (for a discussion of nonsampling variability, see Accuracy of the Data). The effect of nonsampling error is not represented in thesetables.

While the 2016 American Community Survey (ACS) data generally reflect the February 2013 Office of Management and Budget (OMB) definitions ofmetropolitan and micropolitan statistical areas; in certain instances the names, codes, and boundaries of the principal cities shown in ACS tables maydiffer from the OMB definitions due to differences in the effective dates of the geographic entities.

Estimates of urban and rural population, housing units, and characteristics reflect boundaries of urban areas defined based on Census 2010 data. Asa result, data for urban and rural areas from the ACS do not necessarily reflect the results of ongoing urbanization.

Source: U.S. Census Bureau, 2016 American Community Survey 1-Year Estimates

Explanation of Symbols:

1. An '**' entry in the margin of error column indicates that either no sample observations or too few sample observations were available tocompute a standard error and thus the margin of error. A statistical test is not appropriate. 2. An '-' entry in the estimate column indicates that either no sample observations or too few sample observations were available to compute anestimate, or a ratio of medians cannot be calculated because one or both of the median estimates falls in the lowest interval or upper interval of anopen-ended distribution. 3. An '-' following a median estimate means the median falls in the lowest interval of an open-ended distribution. 4. An '+' following a median estimate means the median falls in the upper interval of an open-ended distribution. 5. An '***' entry in the margin of error column indicates that the median falls in the lowest interval or upper interval of an open-ended distribution. Astatistical test is not appropriate. 6. An '*****' entry in the margin of error column indicates that the estimate is controlled. A statistical test for sampling variability is not appropriate. 7. An 'N' entry in the estimate and margin of error columns indicates that data for this geographic area cannot be displayed because the number ofsample cases is too small. 8. An '(X)' means that the estimate is not applicable or not available.

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R2510 MEDIAN HOUSING VALUE OF OWNER-OCCUPIED HOUSING UNITS (DOLLARS) - United States --States; and Puerto RicoUniverse: Owner-occupied housing units2016 American Community Survey 1-Year Estimates

Supporting documentation on code lists, subject definitions, data accuracy, and statistical testing can be found on the American Community Surveywebsite in the Data and Documentation section.

Sample size and data quality measures (including coverage rates, allocation rates, and response rates) can be found on the American CommunitySurvey website in the Methodology section.

Tell us what you think. Provide feedback to help make American Community Survey data more useful for you.

Although the American Community Survey (ACS) produces population, demographic and housing unit estimates, it is the Census Bureau's PopulationEstimates Program that produces and disseminates the official estimates of the population for the nation, states, counties, cities and towns andestimates of housing units for states and counties.

To view this table with statistical significance, select With Statistical Significance in the Action menu.A # next to a geography indicates when an estimate is not statistically significant from the estimate for the selected geography.The ## indicates the selected geography.

Rank Geographical Area Dollar Margin of ErrorUnited States 205,000 +/-467

1 Hawaii 592,000 +/-8,5392 District of Columbia 576,100 +/-17,7323 California 477,500 +/-1,6634 Massachusetts 366,900 +/-2,2495 New Jersey 328,200 +/-2,1916 Colorado 314,200 +/-2,3587 Maryland 306,900 +/-2,6708 Washington 306,400 +/-2,5709 New York 302,400 +/-2,46010 Oregon 287,100 +/-2,32611 Connecticut 274,600 +/-2,32212 Alaska 267,800 +/-5,99613 Virginia 264,000 +/-2,04814 New Hampshire 251,100 +/-3,47115 Utah 250,300 +/-2,72116 Rhode Island 247,700 +/-3,60917 Delaware 243,400 +/-3,74118 Nevada 239,500 +/-2,20619 Vermont 223,700 +/-4,00920 Montana 217,200 +/-3,86221 Minnesota 211,800 +/-1,33722 Wyoming 209,500 +/-6,11323 Arizona 205,900 +/-1,95324 Florida 197,700 +/-1,31825 Idaho 189,400 +/-3,05726 Illinois 186,500 +/-1,41727 Maine 184,700 +/-3,00528 North Dakota 184,100 +/-3,927

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Rank Geographical Area Dollar Margin of Error29 Pennsylvania 174,100 +/-73630 Wisconsin 173,200 +/-1,05331 New Mexico 167,500 +/-2,14332 Georgia 166,800 +/-1,11333 North Carolina 165,400 +/-1,04134 Texas 161,500 +/-79735 South Dakota 160,700 +/-2,61336 Louisiana 158,000 +/-1,44137 Tennessee 157,700 +/-1,19438 South Carolina 153,900 +/-1,43539 Missouri 151,400 +/-1,18840 Nebraska 148,100 +/-1,67541 Michigan 147,100 +/-93342 Kansas 144,900 +/-1,86543 Iowa 142,300 +/-1,52144 Ohio 140,100 +/-75545 Alabama 136,200 +/-1,64546 Kentucky 135,600 +/-1,42947 Indiana 134,800 +/-99048 Oklahoma 132,200 +/-1,45449 Arkansas 123,300 +/-1,74050 West Virginia 117,900 +/-2,34251 Mississippi 113,900 +/-2,115

Puerto Rico 111,900 +/-1,100

Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability isrepresented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpretedroughly as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin oferror (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject tononsampling error (for a discussion of nonsampling variability, see Accuracy of the Data). The effect of nonsampling error is not represented in thesetables.

While the 2016 American Community Survey (ACS) data generally reflect the February 2013 Office of Management and Budget (OMB) definitions ofmetropolitan and micropolitan statistical areas; in certain instances the names, codes, and boundaries of the principal cities shown in ACS tables maydiffer from the OMB definitions due to differences in the effective dates of the geographic entities.

Estimates of urban and rural population, housing units, and characteristics reflect boundaries of urban areas defined based on Census 2010 data. Asa result, data for urban and rural areas from the ACS do not necessarily reflect the results of ongoing urbanization.

Source: U.S. Census Bureau, 2016 American Community Survey 1-Year Estimates

Explanation of Symbols:

1. An '**' entry in the margin of error column indicates that either no sample observations or too few sample observations were available tocompute a standard error and thus the margin of error. A statistical test is not appropriate. 2. An '-' entry in the estimate column indicates that either no sample observations or too few sample observations were available to compute anestimate, or a ratio of medians cannot be calculated because one or both of the median estimates falls in the lowest interval or upper interval of anopen-ended distribution. 3. An '-' following a median estimate means the median falls in the lowest interval of an open-ended distribution. 4. An '+' following a median estimate means the median falls in the upper interval of an open-ended distribution. 5. An '***' entry in the margin of error column indicates that the median falls in the lowest interval or upper interval of an open-ended distribution. Astatistical test is not appropriate. 6. An '*****' entry in the margin of error column indicates that the estimate is controlled. A statistical test for sampling variability is not appropriate. 7. An 'N' entry in the estimate and margin of error columns indicates that data for this geographic area cannot be displayed because the number ofsample cases is too small. 8. An '(X)' means that the estimate is not applicable or not available.

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R2511 MEDIAN MONTHLY HOUSING COSTS FOR OWNER-OCCUPIED HOUSING UNITS WITH AMORTGAGE (DOLLARS) - United States -- States; and Puerto RicoUniverse: Owner-occupied housing units2016 American Community Survey 1-Year Estimates

Supporting documentation on code lists, subject definitions, data accuracy, and statistical testing can be found on the American Community Surveywebsite in the Data and Documentation section.

Sample size and data quality measures (including coverage rates, allocation rates, and response rates) can be found on the American CommunitySurvey website in the Methodology section.

Tell us what you think. Provide feedback to help make American Community Survey data more useful for you.

Although the American Community Survey (ACS) produces population, demographic and housing unit estimates, it is the Census Bureau's PopulationEstimates Program that produces and disseminates the official estimates of the population for the nation, states, counties, cities and towns andestimates of housing units for states and counties.

To view this table with statistical significance, select With Statistical Significance in the Action menu.A # next to a geography indicates when an estimate is not statistically significant from the estimate for the selected geography.The ## indicates the selected geography.

Rank Geographical Area Dollar Margin of ErrorUnited States 1,486 +/-2

1 District of Columbia 2,422 +/-692 New Jersey 2,343 +/-113 Hawaii 2,239 +/-404 California 2,188 +/-85 Massachusetts 2,069 +/-166 New York 2,020 +/-167 Connecticut 1,997 +/-218 Maryland 1,918 +/-139 Alaska 1,851 +/-3310 New Hampshire 1,821 +/-2111 Rhode Island 1,740 +/-3412 Washington 1,727 +/-1013 Virginia 1,692 +/-1214 Colorado 1,597 +/-1115 Illinois 1,588 +/-1016 Oregon 1,572 +/-1517 Vermont 1,507 +/-2918 Minnesota 1,472 +/-819 Texas 1,469 +/-720 Delaware 1,463 +/-2521 Utah 1,437 +/-1422 Pennsylvania 1,416 +/-823 Florida 1,410 +/-724 Nevada 1,401 +/-1425 Wyoming 1,367 +/-2926 Wisconsin 1,348 +/-927 Georgia 1,336 +/-928 Arizona 1,328 +/-11

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Rank Geographical Area Dollar Margin of Error28 Maine 1,328 +/-1930 Montana 1,327 +/-2331 North Dakota 1,318 +/-3132 Nebraska 1,290 +/-1733 Kansas 1,264 +/-1434 South Dakota 1,239 +/-2435 North Carolina 1,225 +/-836 Michigan 1,215 +/-737 Louisiana 1,214 +/-1338 Ohio 1,211 +/-539 Missouri 1,210 +/-1039 New Mexico 1,210 +/-1741 Iowa 1,186 +/-1042 South Carolina 1,182 +/-843 Tennessee 1,172 +/-1044 Idaho 1,168 +/-1544 Oklahoma 1,168 +/-1146 Alabama 1,126 +/-947 Kentucky 1,111 +/-1048 Mississippi 1,087 +/-1349 Indiana 1,070 +/-650 Arkansas 1,017 +/-1551 West Virginia 997 +/-18

Puerto Rico 846 +/-12

Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability isrepresented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpretedroughly as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin oferror (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject tononsampling error (for a discussion of nonsampling variability, see Accuracy of the Data). The effect of nonsampling error is not represented in thesetables.

While the 2016 American Community Survey (ACS) data generally reflect the February 2013 Office of Management and Budget (OMB) definitions ofmetropolitan and micropolitan statistical areas; in certain instances the names, codes, and boundaries of the principal cities shown in ACS tables maydiffer from the OMB definitions due to differences in the effective dates of the geographic entities.

Estimates of urban and rural population, housing units, and characteristics reflect boundaries of urban areas defined based on Census 2010 data. Asa result, data for urban and rural areas from the ACS do not necessarily reflect the results of ongoing urbanization.

Source: U.S. Census Bureau, 2016 American Community Survey 1-Year Estimates

Explanation of Symbols:

1. An '**' entry in the margin of error column indicates that either no sample observations or too few sample observations were available tocompute a standard error and thus the margin of error. A statistical test is not appropriate. 2. An '-' entry in the estimate column indicates that either no sample observations or too few sample observations were available to compute anestimate, or a ratio of medians cannot be calculated because one or both of the median estimates falls in the lowest interval or upper interval of anopen-ended distribution. 3. An '-' following a median estimate means the median falls in the lowest interval of an open-ended distribution. 4. An '+' following a median estimate means the median falls in the upper interval of an open-ended distribution. 5. An '***' entry in the margin of error column indicates that the median falls in the lowest interval or upper interval of an open-ended distribution. Astatistical test is not appropriate. 6. An '*****' entry in the margin of error column indicates that the estimate is controlled. A statistical test for sampling variability is not appropriate. 7. An 'N' entry in the estimate and margin of error columns indicates that data for this geographic area cannot be displayed because the number ofsample cases is too small. 8. An '(X)' means that the estimate is not applicable or not available.

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R2512 PERCENT OF OCCUPIED HOUSING UNITS THAT ARE OWNER-OCCUPIED - United States -- States;and Puerto RicoUniverse: Occupied housing units2016 American Community Survey 1-Year Estimates

Supporting documentation on code lists, subject definitions, data accuracy, and statistical testing can be found on the American Community Surveywebsite in the Data and Documentation section.

Sample size and data quality measures (including coverage rates, allocation rates, and response rates) can be found on the American CommunitySurvey website in the Methodology section.

Tell us what you think. Provide feedback to help make American Community Survey data more useful for you.

Although the American Community Survey (ACS) produces population, demographic and housing unit estimates, it is the Census Bureau's PopulationEstimates Program that produces and disseminates the official estimates of the population for the nation, states, counties, cities and towns andestimates of housing units for states and counties.

To view this table with statistical significance, select With Statistical Significance in the Action menu.A # next to a geography indicates when an estimate is not statistically significant from the estimate for the selected geography.The ## indicates the selected geography.

Rank Geographical Area Percent Margin of ErrorUnited States 63.1 +/-0.1

1 West Virginia 72.4 +/-0.82 Maine 71.9 +/-0.93 Minnesota 71.3 +/-0.44 Iowa 70.6 +/-0.55 Michigan 70.3 +/-0.36 New Hampshire 70.1 +/-0.97 Utah 69.9 +/-0.88 Delaware 69.8 +/-1.38 Vermont 69.8 +/-1.310 Wyoming 68.8 +/-1.611 South Carolina 68.6 +/-0.612 Alabama 68.5 +/-0.612 Idaho 68.5 +/-1.012 Pennsylvania 68.5 +/-0.315 Indiana 68.3 +/-0.416 Montana 68.0 +/-1.217 New Mexico 67.4 +/-0.918 Mississippi 67.3 +/-0.719 South Dakota 67.2 +/-1.020 Kentucky 66.8 +/-0.521 Wisconsin 66.7 +/-0.422 Missouri 66.1 +/-0.423 Maryland 65.9 +/-0.524 Kansas 65.7 +/-0.625 Ohio 65.4 +/-0.326 Illinois 65.3 +/-0.326 Nebraska 65.3 +/-0.726 Virginia 65.3 +/-0.4

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Rank Geographical Area Percent Margin of Error29 Tennessee 65.1 +/-0.530 Oklahoma 64.9 +/-0.531 Colorado 64.8 +/-0.531 Connecticut 64.8 +/-0.633 Arkansas 64.6 +/-0.734 Alaska 64.5 +/-1.335 Louisiana 64.3 +/-0.636 North Carolina 64.2 +/-0.337 Florida 64.1 +/-0.338 Arizona 63.2 +/-0.538 New Jersey 63.2 +/-0.438 North Dakota 63.2 +/-1.141 Washington 62.5 +/-0.442 Massachusetts 62.0 +/-0.443 Oregon 61.7 +/-0.644 Georgia 61.5 +/-0.445 Texas 61.1 +/-0.246 Rhode Island 58.0 +/-1.247 Hawaii 57.2 +/-0.948 Nevada 54.9 +/-0.749 California 53.6 +/-0.250 New York 53.3 +/-0.251 District of Columbia 39.2 +/-1.2

Puerto Rico 68.0 +/-0.6

Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability isrepresented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpretedroughly as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin oferror (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject tononsampling error (for a discussion of nonsampling variability, see Accuracy of the Data). The effect of nonsampling error is not represented in thesetables.

While the 2016 American Community Survey (ACS) data generally reflect the February 2013 Office of Management and Budget (OMB) definitions ofmetropolitan and micropolitan statistical areas; in certain instances the names, codes, and boundaries of the principal cities shown in ACS tables maydiffer from the OMB definitions due to differences in the effective dates of the geographic entities.

Estimates of urban and rural population, housing units, and characteristics reflect boundaries of urban areas defined based on Census 2010 data. Asa result, data for urban and rural areas from the ACS do not necessarily reflect the results of ongoing urbanization.

Source: U.S. Census Bureau, 2016 American Community Survey 1-Year Estimates

Explanation of Symbols:

1. An '**' entry in the margin of error column indicates that either no sample observations or too few sample observations were available tocompute a standard error and thus the margin of error. A statistical test is not appropriate. 2. An '-' entry in the estimate column indicates that either no sample observations or too few sample observations were available to compute anestimate, or a ratio of medians cannot be calculated because one or both of the median estimates falls in the lowest interval or upper interval of anopen-ended distribution. 3. An '-' following a median estimate means the median falls in the lowest interval of an open-ended distribution. 4. An '+' following a median estimate means the median falls in the upper interval of an open-ended distribution. 5. An '***' entry in the margin of error column indicates that the median falls in the lowest interval or upper interval of an open-ended distribution. Astatistical test is not appropriate. 6. An '*****' entry in the margin of error column indicates that the estimate is controlled. A statistical test for sampling variability is not appropriate. 7. An 'N' entry in the estimate and margin of error columns indicates that data for this geographic area cannot be displayed because the number ofsample cases is too small. 8. An '(X)' means that the estimate is not applicable or not available.

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R2513 PERCENT OF MORTGAGED OWNERS SPENDING 30 PERCENT OR MORE OF HOUSEHOLDINCOME ON SELECTED MONTHLY OWNER COSTS - United States -- States; and Puerto RicoUniverse: Owner-occupied housing units with a mortgage2016 American Community Survey 1-Year Estimates

Supporting documentation on code lists, subject definitions, data accuracy, and statistical testing can be found on the American Community Surveywebsite in the Data and Documentation section.

Sample size and data quality measures (including coverage rates, allocation rates, and response rates) can be found on the American CommunitySurvey website in the Methodology section.

Tell us what you think. Provide feedback to help make American Community Survey data more useful for you.

Although the American Community Survey (ACS) produces population, demographic and housing unit estimates, it is the Census Bureau's PopulationEstimates Program that produces and disseminates the official estimates of the population for the nation, states, counties, cities and towns andestimates of housing units for states and counties.

To view this table with statistical significance, select With Statistical Significance in the Action menu.A # next to a geography indicates when an estimate is not statistically significant from the estimate for the selected geography.The ## indicates the selected geography.

Rank Geographical Area Percent Margin of ErrorUnited States 28.1 +/-0.1

1 California 38.6 +/-0.32 Hawaii 37.9 +/-1.53 New Jersey 36.4 +/-0.64 Florida 34.0 +/-0.45 New York 33.8 +/-0.46 Vermont 32.5 +/-1.77 Rhode Island 31.6 +/-1.88 Nevada 31.2 +/-1.29 Connecticut 30.7 +/-0.810 New Mexico 30.1 +/-1.610 Oregon 30.1 +/-0.912 Massachusetts 29.8 +/-0.713 Montana 29.7 +/-1.814 Washington 29.2 +/-0.715 Maryland 28.8 +/-0.716 Arizona 28.3 +/-0.717 Illinois 28.2 +/-0.518 Alaska 28.1 +/-2.218 Maine 28.1 +/-1.520 New Hampshire 27.7 +/-1.421 Delaware 27.1 +/-1.622 Colorado 27.0 +/-0.723 South Carolina 26.6 +/-0.823 Virginia 26.6 +/-0.625 Louisiana 26.5 +/-1.026 Mississippi 26.4 +/-1.226 Texas 26.4 +/-0.428 District of Columbia 25.8 +/-2.1

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Rank Geographical Area Percent Margin of Error29 Georgia 25.7 +/-0.629 North Carolina 25.7 +/-0.531 Pennsylvania 25.4 +/-0.432 Alabama 25.0 +/-0.733 Tennessee 24.9 +/-0.634 Idaho 24.8 +/-1.335 Wyoming 24.4 +/-2.336 Wisconsin 23.9 +/-0.537 Michigan 23.3 +/-0.438 Utah 23.0 +/-0.839 Oklahoma 22.6 +/-0.840 Missouri 22.4 +/-0.541 Kentucky 22.3 +/-0.841 Minnesota 22.3 +/-0.543 Ohio 21.9 +/-0.544 South Dakota 21.2 +/-1.745 Arkansas 20.9 +/-1.145 Kansas 20.9 +/-0.847 West Virginia 20.7 +/-1.348 Iowa 19.8 +/-0.849 Nebraska 19.5 +/-1.050 Indiana 19.4 +/-0.551 North Dakota 17.9 +/-1.7

Puerto Rico 42.1 +/-1.4

Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability isrepresented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpretedroughly as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin oferror (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject tononsampling error (for a discussion of nonsampling variability, see Accuracy of the Data). The effect of nonsampling error is not represented in thesetables.

While the 2016 American Community Survey (ACS) data generally reflect the February 2013 Office of Management and Budget (OMB) definitions ofmetropolitan and micropolitan statistical areas; in certain instances the names, codes, and boundaries of the principal cities shown in ACS tables maydiffer from the OMB definitions due to differences in the effective dates of the geographic entities.

Estimates of urban and rural population, housing units, and characteristics reflect boundaries of urban areas defined based on Census 2010 data. Asa result, data for urban and rural areas from the ACS do not necessarily reflect the results of ongoing urbanization.

Source: U.S. Census Bureau, 2016 American Community Survey 1-Year Estimates

Explanation of Symbols:

1. An '**' entry in the margin of error column indicates that either no sample observations or too few sample observations were available tocompute a standard error and thus the margin of error. A statistical test is not appropriate. 2. An '-' entry in the estimate column indicates that either no sample observations or too few sample observations were available to compute anestimate, or a ratio of medians cannot be calculated because one or both of the median estimates falls in the lowest interval or upper interval of anopen-ended distribution. 3. An '-' following a median estimate means the median falls in the lowest interval of an open-ended distribution. 4. An '+' following a median estimate means the median falls in the upper interval of an open-ended distribution. 5. An '***' entry in the margin of error column indicates that the median falls in the lowest interval or upper interval of an open-ended distribution. Astatistical test is not appropriate. 6. An '*****' entry in the margin of error column indicates that the estimate is controlled. A statistical test for sampling variability is not appropriate. 7. An 'N' entry in the estimate and margin of error columns indicates that data for this geographic area cannot be displayed because the number ofsample cases is too small. 8. An '(X)' means that the estimate is not applicable or not available.

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R2514 MEDIAN MONTHLY HOUSING COSTS FOR RENTER-OCCUPIED HOUSING UNITS (DOLLARS) -United States -- States; and Puerto RicoUniverse: Renter-occupied housing units2016 American Community Survey 1-Year Estimates

Supporting documentation on code lists, subject definitions, data accuracy, and statistical testing can be found on the American Community Surveywebsite in the Data and Documentation section.

Sample size and data quality measures (including coverage rates, allocation rates, and response rates) can be found on the American CommunitySurvey website in the Methodology section.

Tell us what you think. Provide feedback to help make American Community Survey data more useful for you.

Although the American Community Survey (ACS) produces population, demographic and housing unit estimates, it is the Census Bureau's PopulationEstimates Program that produces and disseminates the official estimates of the population for the nation, states, counties, cities and towns andestimates of housing units for states and counties.

To view this table with statistical significance, select With Statistical Significance in the Action menu.A # next to a geography indicates when an estimate is not statistically significant from the estimate for the selected geography.The ## indicates the selected geography.

Rank Geographical Area Dollar Margin of ErrorUnited States 981 +/-2

1 Hawaii 1,483 +/-282 District of Columbia 1,376 +/-323 California 1,375 +/-54 Maryland 1,314 +/-105 New Jersey 1,244 +/-96 Alaska 1,208 +/-347 New York 1,194 +/-78 Massachusetts 1,179 +/-129 Colorado 1,171 +/-1010 Virginia 1,159 +/-1311 Washington 1,135 +/-1012 Connecticut 1,115 +/-1113 Florida 1,086 +/-614 Delaware 1,048 +/-2515 New Hampshire 1,026 +/-2316 Oregon 1,015 +/-1417 Nevada 1,003 +/-1318 Arizona 976 +/-719 Texas 956 +/-420 Utah 954 +/-1421 Illinois 950 +/-622 Rhode Island 948 +/-1723 Georgia 933 +/-724 Vermont 925 +/-2125 Minnesota 912 +/-926 Pennsylvania 881 +/-527 South Carolina 841 +/-928 Wyoming 840 +/-32

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Rank Geographical Area Dollar Margin of Error29 North Carolina 839 +/-530 Michigan 818 +/-631 Louisiana 808 +/-1032 Tennessee 806 +/-833 New Mexico 804 +/-1634 Wisconsin 802 +/-735 Maine 797 +/-2336 Idaho 790 +/-1737 Kansas 789 +/-1038 North Dakota 776 +/-1739 Missouri 771 +/-640 Nebraska 769 +/-1041 Indiana 768 +/-642 Ohio 759 +/-443 Oklahoma 744 +/-744 Alabama 743 +/-845 Iowa 741 +/-945 Montana 741 +/-1747 Mississippi 728 +/-1148 Kentucky 707 +/-849 South Dakota 706 +/-1950 Arkansas 701 +/-951 West Virginia 682 +/-15

Puerto Rico 463 +/-12

Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability isrepresented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpretedroughly as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin oferror (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject tononsampling error (for a discussion of nonsampling variability, see Accuracy of the Data). The effect of nonsampling error is not represented in thesetables.

While the 2016 American Community Survey (ACS) data generally reflect the February 2013 Office of Management and Budget (OMB) definitions ofmetropolitan and micropolitan statistical areas; in certain instances the names, codes, and boundaries of the principal cities shown in ACS tables maydiffer from the OMB definitions due to differences in the effective dates of the geographic entities.

Estimates of urban and rural population, housing units, and characteristics reflect boundaries of urban areas defined based on Census 2010 data. Asa result, data for urban and rural areas from the ACS do not necessarily reflect the results of ongoing urbanization.

Source: U.S. Census Bureau, 2016 American Community Survey 1-Year Estimates

Explanation of Symbols:

1. An '**' entry in the margin of error column indicates that either no sample observations or too few sample observations were available tocompute a standard error and thus the margin of error. A statistical test is not appropriate. 2. An '-' entry in the estimate column indicates that either no sample observations or too few sample observations were available to compute anestimate, or a ratio of medians cannot be calculated because one or both of the median estimates falls in the lowest interval or upper interval of anopen-ended distribution. 3. An '-' following a median estimate means the median falls in the lowest interval of an open-ended distribution. 4. An '+' following a median estimate means the median falls in the upper interval of an open-ended distribution. 5. An '***' entry in the margin of error column indicates that the median falls in the lowest interval or upper interval of an open-ended distribution. Astatistical test is not appropriate. 6. An '*****' entry in the margin of error column indicates that the estimate is controlled. A statistical test for sampling variability is not appropriate. 7. An 'N' entry in the estimate and margin of error columns indicates that data for this geographic area cannot be displayed because the number ofsample cases is too small. 8. An '(X)' means that the estimate is not applicable or not available.

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R2515 PERCENT OF RENTER-OCCUPIED UNITS SPENDING 30 PERCENT OR MORE OF HOUSEHOLDINCOME ON RENT AND UTILITIES - United States -- States; and Puerto RicoUniverse: Renter-occupied housing units2016 American Community Survey 1-Year Estimates

Supporting documentation on code lists, subject definitions, data accuracy, and statistical testing can be found on the American Community Surveywebsite in the Data and Documentation section.

Sample size and data quality measures (including coverage rates, allocation rates, and response rates) can be found on the American CommunitySurvey website in the Methodology section.

Tell us what you think. Provide feedback to help make American Community Survey data more useful for you.

Although the American Community Survey (ACS) produces population, demographic and housing unit estimates, it is the Census Bureau's PopulationEstimates Program that produces and disseminates the official estimates of the population for the nation, states, counties, cities and towns andestimates of housing units for states and counties.

To view this table with statistical significance, select With Statistical Significance in the Action menu.A # next to a geography indicates when an estimate is not statistically significant from the estimate for the selected geography.The ## indicates the selected geography.

Rank Geographical Area Percent Margin of ErrorUnited States 46.1 +/-0.1

1 California 52.6 +/-0.32 Florida 52.1 +/-0.53 Hawaii 51.5 +/-1.94 New York 49.8 +/-0.55 Colorado 49.7 +/-1.16 New Jersey 49.1 +/-0.77 Oregon 48.4 +/-1.38 Connecticut 48.1 +/-1.29 Louisiana 47.4 +/-1.110 Nevada 47.3 +/-1.311 Massachusetts 46.8 +/-0.912 Vermont 46.7 +/-2.813 Maryland 46.3 +/-1.014 Michigan 45.8 +/-0.715 Rhode Island 45.7 +/-2.116 Delaware 45.6 +/-2.916 Virginia 45.6 +/-0.818 District of Columbia 45.5 +/-1.819 Illinois 45.3 +/-0.620 Georgia 45.0 +/-0.921 Washington 44.9 +/-0.822 Arizona 44.3 +/-0.823 Texas 43.9 +/-0.524 Minnesota 43.3 +/-1.025 Pennsylvania 43.1 +/-0.625 South Carolina 43.1 +/-1.227 Maine 42.8 +/-2.428 North Carolina 42.6 +/-0.7

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Rank Geographical Area Percent Margin of Error29 Utah 42.5 +/-1.430 New Mexico 42.4 +/-1.631 Indiana 42.3 +/-0.832 Tennessee 42.2 +/-1.033 Ohio 42.0 +/-0.634 Alabama 41.8 +/-1.134 New Hampshire 41.8 +/-2.234 Wisconsin 41.8 +/-0.737 Idaho 41.3 +/-2.238 Mississippi 40.8 +/-1.539 Nebraska 40.7 +/-1.440 Kansas 40.6 +/-1.341 Iowa 40.5 +/-1.242 Kentucky 40.2 +/-1.342 Missouri 40.2 +/-1.144 West Virginia 40.0 +/-1.845 Oklahoma 39.4 +/-1.046 Arkansas 39.2 +/-1.547 Montana 39.0 +/-2.148 Alaska 38.2 +/-2.349 Wyoming 37.5 +/-3.350 South Dakota 37.2 +/-2.151 North Dakota 36.3 +/-2.8

Puerto Rico 28.6 +/-1.2

Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability isrepresented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpretedroughly as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin oferror (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject tononsampling error (for a discussion of nonsampling variability, see Accuracy of the Data). The effect of nonsampling error is not represented in thesetables.

While the 2016 American Community Survey (ACS) data generally reflect the February 2013 Office of Management and Budget (OMB) definitions ofmetropolitan and micropolitan statistical areas; in certain instances the names, codes, and boundaries of the principal cities shown in ACS tables maydiffer from the OMB definitions due to differences in the effective dates of the geographic entities.

Estimates of urban and rural population, housing units, and characteristics reflect boundaries of urban areas defined based on Census 2010 data. Asa result, data for urban and rural areas from the ACS do not necessarily reflect the results of ongoing urbanization.

Source: U.S. Census Bureau, 2016 American Community Survey 1-Year Estimates

Explanation of Symbols:

1. An '**' entry in the margin of error column indicates that either no sample observations or too few sample observations were available tocompute a standard error and thus the margin of error. A statistical test is not appropriate. 2. An '-' entry in the estimate column indicates that either no sample observations or too few sample observations were available to compute anestimate, or a ratio of medians cannot be calculated because one or both of the median estimates falls in the lowest interval or upper interval of anopen-ended distribution. 3. An '-' following a median estimate means the median falls in the lowest interval of an open-ended distribution. 4. An '+' following a median estimate means the median falls in the upper interval of an open-ended distribution. 5. An '***' entry in the margin of error column indicates that the median falls in the lowest interval or upper interval of an open-ended distribution. Astatistical test is not appropriate. 6. An '*****' entry in the margin of error column indicates that the estimate is controlled. A statistical test for sampling variability is not appropriate. 7. An 'N' entry in the estimate and margin of error columns indicates that data for this geographic area cannot be displayed because the number ofsample cases is too small. 8. An '(X)' means that the estimate is not applicable or not available.

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R2701 PERCENT WITHOUT HEALTH INSURANCE COVERAGE - United States -- States; and Puerto RicoUniverse: Civilian noninstitutionalized population2016 American Community Survey 1-Year Estimates

Supporting documentation on code lists, subject definitions, data accuracy, and statistical testing can be found on the American Community Surveywebsite in the Data and Documentation section.

Sample size and data quality measures (including coverage rates, allocation rates, and response rates) can be found on the American CommunitySurvey website in the Methodology section.

Tell us what you think. Provide feedback to help make American Community Survey data more useful for you.

Although the American Community Survey (ACS) produces population, demographic and housing unit estimates, it is the Census Bureau's PopulationEstimates Program that produces and disseminates the official estimates of the population for the nation, states, counties, cities and towns andestimates of housing units for states and counties.

To view this table with statistical significance, select With Statistical Significance in the Action menu.A # next to a geography indicates when an estimate is not statistically significant from the estimate for the selected geography.The ## indicates the selected geography.

Rank Geographical Area Percent Margin of ErrorUnited States 8.6 +/-0.1

1 Texas 16.6 +/-0.22 Alaska 14.0 +/-0.93 Oklahoma 13.8 +/-0.34 Georgia 12.9 +/-0.35 Florida 12.5 +/-0.26 Mississippi 11.8 +/-0.47 Wyoming 11.5 +/-1.08 Nevada 11.4 +/-0.59 North Carolina 10.4 +/-0.210 Louisiana 10.3 +/-0.411 Idaho 10.1 +/-0.512 Arizona 10.0 +/-0.312 South Carolina 10.0 +/-0.314 New Mexico 9.2 +/-0.515 Alabama 9.1 +/-0.316 Tennessee 9.0 +/-0.217 Missouri 8.9 +/-0.218 Utah 8.8 +/-0.419 Kansas 8.7 +/-0.319 South Dakota 8.7 +/-0.519 Virginia 8.7 +/-0.322 Nebraska 8.6 +/-0.523 Indiana 8.1 +/-0.323 Montana 8.1 +/-0.525 Maine 8.0 +/-0.525 New Jersey 8.0 +/-0.227 Arkansas 7.9 +/-0.428 Colorado 7.5 +/-0.329 California 7.3 +/-0.1

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Rank Geographical Area Percent Margin of Error30 North Dakota 7.0 +/-0.631 Illinois 6.5 +/-0.232 Oregon 6.2 +/-0.233 Maryland 6.1 +/-0.333 New York 6.1 +/-0.135 Washington 6.0 +/-0.236 New Hampshire 5.9 +/-0.437 Delaware 5.7 +/-0.538 Ohio 5.6 +/-0.238 Pennsylvania 5.6 +/-0.240 Michigan 5.4 +/-0.141 West Virginia 5.3 +/-0.341 Wisconsin 5.3 +/-0.243 Kentucky 5.1 +/-0.244 Connecticut 4.9 +/-0.345 Iowa 4.3 +/-0.245 Rhode Island 4.3 +/-0.547 Minnesota 4.1 +/-0.248 District of Columbia 3.9 +/-0.649 Vermont 3.7 +/-0.450 Hawaii 3.5 +/-0.451 Massachusetts 2.5 +/-0.2

Puerto Rico 6.2 +/-0.3

Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability isrepresented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpretedroughly as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin oferror (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject tononsampling error (for a discussion of nonsampling variability, see Accuracy of the Data). The effect of nonsampling error is not represented in thesetables.

While the 2016 American Community Survey (ACS) data generally reflect the February 2013 Office of Management and Budget (OMB) definitions ofmetropolitan and micropolitan statistical areas; in certain instances the names, codes, and boundaries of the principal cities shown in ACS tables maydiffer from the OMB definitions due to differences in the effective dates of the geographic entities.

Estimates of urban and rural population, housing units, and characteristics reflect boundaries of urban areas defined based on Census 2010 data. Asa result, data for urban and rural areas from the ACS do not necessarily reflect the results of ongoing urbanization.

Source: U.S. Census Bureau, 2016 American Community Survey 1-Year Estimates

Explanation of Symbols:

1. An '**' entry in the margin of error column indicates that either no sample observations or too few sample observations were available tocompute a standard error and thus the margin of error. A statistical test is not appropriate. 2. An '-' entry in the estimate column indicates that either no sample observations or too few sample observations were available to compute anestimate, or a ratio of medians cannot be calculated because one or both of the median estimates falls in the lowest interval or upper interval of anopen-ended distribution. 3. An '-' following a median estimate means the median falls in the lowest interval of an open-ended distribution. 4. An '+' following a median estimate means the median falls in the upper interval of an open-ended distribution. 5. An '***' entry in the margin of error column indicates that the median falls in the lowest interval or upper interval of an open-ended distribution. Astatistical test is not appropriate. 6. An '*****' entry in the margin of error column indicates that the estimate is controlled. A statistical test for sampling variability is not appropriate. 7. An 'N' entry in the estimate and margin of error columns indicates that data for this geographic area cannot be displayed because the number ofsample cases is too small. 8. An '(X)' means that the estimate is not applicable or not available.

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R2702 PERCENT OF CHILDREN WITHOUT HEALTH INSURANCE COVERAGE - United States -- States; andPuerto RicoUniverse: Civilian Noninstitutionalized Population Under 18 Years2016 American Community Survey 1-Year Estimates

Supporting documentation on code lists, subject definitions, data accuracy, and statistical testing can be found on the American Community Surveywebsite in the Data and Documentation section.

Sample size and data quality measures (including coverage rates, allocation rates, and response rates) can be found on the American CommunitySurvey website in the Methodology section.

Tell us what you think. Provide feedback to help make American Community Survey data more useful for you.

Although the American Community Survey (ACS) produces population, demographic and housing unit estimates, it is the Census Bureau's PopulationEstimates Program that produces and disseminates the official estimates of the population for the nation, states, counties, cities and towns andestimates of housing units for states and counties.

To view this table with statistical significance, select With Statistical Significance in the Action menu.A # next to a geography indicates when an estimate is not statistically significant from the estimate for the selected geography.The ## indicates the selected geography.

Rank Geographical Area Percent Margin of ErrorUnited States 4.5 +/-0.1

1 Alaska 10.0 +/-1.52 Texas 9.2 +/-0.33 Wyoming 8.8 +/-2.04 North Dakota 7.8 +/-1.35 Arizona 7.3 +/-0.65 Oklahoma 7.3 +/-0.57 Nevada 6.8 +/-0.88 Georgia 6.5 +/-0.59 Florida 6.2 +/-0.310 Indiana 5.9 +/-0.511 Utah 5.8 +/-0.612 New Mexico 5.3 +/-0.713 Nebraska 5.0 +/-0.714 Virginia 4.8 +/-0.415 Idaho 4.7 +/-0.715 Montana 4.7 +/-0.817 Maine 4.6 +/-1.018 Mississippi 4.5 +/-0.618 Missouri 4.5 +/-0.418 North Carolina 4.5 +/-0.318 South Dakota 4.5 +/-0.722 Pennsylvania 4.4 +/-0.323 Kansas 4.3 +/-0.524 Colorado 4.0 +/-0.524 South Carolina 4.0 +/-0.426 Arkansas 3.6 +/-0.526 Ohio 3.6 +/-0.328 New Jersey 3.5 +/-0.3

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Rank Geographical Area Percent Margin of Error28 Tennessee 3.5 +/-0.428 Wisconsin 3.5 +/-0.331 Minnesota 3.4 +/-0.432 Maryland 3.3 +/-0.532 Oregon 3.3 +/-0.534 Kentucky 3.2 +/-0.435 Delaware 3.1 +/-0.835 District of Columbia 3.1 +/-1.337 Louisiana 3.0 +/-0.438 California 2.9 +/-0.238 Michigan 2.9 +/-0.240 Connecticut 2.8 +/-0.641 New Hampshire 2.6 +/-0.642 Iowa 2.5 +/-0.442 Washington 2.5 +/-0.344 Alabama 2.4 +/-0.344 Illinois 2.4 +/-0.244 New York 2.4 +/-0.247 Hawaii 2.2 +/-0.748 West Virginia 2.1 +/-0.549 Rhode Island 1.9 +/-0.650 Vermont 1.6 +/-0.551 Massachusetts 0.9 +/-0.2

Puerto Rico 2.8 +/-0.4

Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability isrepresented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpretedroughly as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin oferror (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject tononsampling error (for a discussion of nonsampling variability, see Accuracy of the Data). The effect of nonsampling error is not represented in thesetables.

While the 2016 American Community Survey (ACS) data generally reflect the February 2013 Office of Management and Budget (OMB) definitions ofmetropolitan and micropolitan statistical areas; in certain instances the names, codes, and boundaries of the principal cities shown in ACS tables maydiffer from the OMB definitions due to differences in the effective dates of the geographic entities.

Estimates of urban and rural population, housing units, and characteristics reflect boundaries of urban areas defined based on Census 2010 data. Asa result, data for urban and rural areas from the ACS do not necessarily reflect the results of ongoing urbanization.

Source: U.S. Census Bureau, 2016 American Community Survey 1-Year Estimates

Explanation of Symbols:

1. An '**' entry in the margin of error column indicates that either no sample observations or too few sample observations were available tocompute a standard error and thus the margin of error. A statistical test is not appropriate. 2. An '-' entry in the estimate column indicates that either no sample observations or too few sample observations were available to compute anestimate, or a ratio of medians cannot be calculated because one or both of the median estimates falls in the lowest interval or upper interval of anopen-ended distribution. 3. An '-' following a median estimate means the median falls in the lowest interval of an open-ended distribution. 4. An '+' following a median estimate means the median falls in the upper interval of an open-ended distribution. 5. An '***' entry in the margin of error column indicates that the median falls in the lowest interval or upper interval of an open-ended distribution. Astatistical test is not appropriate. 6. An '*****' entry in the margin of error column indicates that the estimate is controlled. A statistical test for sampling variability is not appropriate. 7. An 'N' entry in the estimate and margin of error columns indicates that data for this geographic area cannot be displayed because the number ofsample cases is too small. 8. An '(X)' means that the estimate is not applicable or not available.

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R2801 PERCENT OF HOUSEHOLDS WITH A BROADBAND INTERNET SUBSCRIPTION - United States --States; and Puerto RicoUniverse: Households2016 American Community Survey 1-Year Estimates

Supporting documentation on code lists, subject definitions, data accuracy, and statistical testing can be found on the American Community Surveywebsite in the Data and Documentation section.

Sample size and data quality measures (including coverage rates, allocation rates, and response rates) can be found on the American CommunitySurvey website in the Methodology section.

Tell us what you think. Provide feedback to help make American Community Survey data more useful for you.

Although the American Community Survey (ACS) produces population, demographic and housing unit estimates, it is the Census Bureau's PopulationEstimates Program that produces and disseminates the official estimates of the population for the nation, states, counties, cities and towns andestimates of housing units for states and counties.

To view this table with statistical significance, select With Statistical Significance in the Action menu.A # next to a geography indicates when an estimate is not statistically significant from the estimate for the selected geography.The ## indicates the selected geography.

Rank Geographical Area Percent Margin of ErrorUnited States 81.4 +/-0.1

1 Washington 87.4 +/-0.32 Colorado 86.9 +/-0.33 New Hampshire 86.4 +/-0.84 Maryland 85.8 +/-0.45 Alaska 85.7 +/-1.16 Massachusetts 85.5 +/-0.37 California 85.4 +/-0.17 Utah 85.4 +/-0.59 Oregon 84.9 +/-0.510 New Jersey 84.2 +/-0.311 Connecticut 84.1 +/-0.612 Minnesota 83.5 +/-0.313 Virginia 83.4 +/-0.414 Delaware 83.3 +/-0.915 Hawaii 83.2 +/-0.815 Wyoming 83.2 +/-1.317 Arizona 83.1 +/-0.418 Rhode Island 82.8 +/-0.919 Illinois 82.0 +/-0.320 New York 81.7 +/-0.221 Nebraska 81.6 +/-0.722 North Dakota 81.4 +/-1.023 Wisconsin 81.3 +/-0.324 Florida 81.2 +/-0.225 Vermont 81.1 +/-0.926 Nevada 80.9 +/-0.726 Ohio 80.9 +/-0.328 Georgia 80.7 +/-0.4

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Rank Geographical Area Percent Margin of Error28 Maine 80.7 +/-0.830 Michigan 80.5 +/-0.330 Pennsylvania 80.5 +/-0.230 Texas 80.5 +/-0.233 Kansas 80.3 +/-0.634 District of Columbia 79.8 +/-1.335 Iowa 79.6 +/-0.536 South Dakota 79.5 +/-0.937 Idaho 79.4 +/-0.938 Missouri 79.3 +/-0.439 Indiana 79.2 +/-0.440 North Carolina 79.0 +/-0.341 Montana 78.9 +/-1.042 Kentucky 77.3 +/-0.543 Oklahoma 77.2 +/-0.444 South Carolina 77.0 +/-0.545 Tennessee 76.7 +/-0.446 Alabama 74.7 +/-0.547 Louisiana 74.4 +/-0.548 West Virginia 74.2 +/-0.849 New Mexico 73.7 +/-0.850 Arkansas 70.9 +/-0.751 Mississippi 70.7 +/-0.7

Puerto Rico 59.3 +/-0.7

Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability isrepresented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpretedroughly as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin oferror (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject tononsampling error (for a discussion of nonsampling variability, see Accuracy of the Data). The effect of nonsampling error is not represented in thesetables.

Data about computer and Internet use were collected by asking respondents to select "Yes" or "No" to each type of computer and each type ofInternet subscription. Therefore, respondents were able to select more than one type of computer and more than one type of Internet subscription.

The category "with a broadband Internet subscription" refers to those who said "Yes" to at least one of the following types of Internet subscriptions:Broadband such as cable, fiber optic, or DSL; a cellular data plan; satellite; or a fixed wireless subscription.

While the 2016 American Community Survey (ACS) data generally reflect the February 2013 Office of Management and Budget (OMB) definitions ofmetropolitan and micropolitan statistical areas; in certain instances the names, codes, and boundaries of the principal cities shown in ACS tables maydiffer from the OMB definitions due to differences in the effective dates of the geographic entities.

Estimates of urban and rural population, housing units, and characteristics reflect boundaries of urban areas defined based on Census 2010 data. Asa result, data for urban and rural areas from the ACS do not necessarily reflect the results of ongoing urbanization.

Source: U.S. Census Bureau, 2016 American Community Survey 1-Year Estimates

Explanation of Symbols:

1. An '**' entry in the margin of error column indicates that either no sample observations or too few sample observations were available tocompute a standard error and thus the margin of error. A statistical test is not appropriate. 2. An '-' entry in the estimate column indicates that either no sample observations or too few sample observations were available to compute anestimate, or a ratio of medians cannot be calculated because one or both of the median estimates falls in the lowest interval or upper interval of anopen-ended distribution. 3. An '-' following a median estimate means the median falls in the lowest interval of an open-ended distribution. 4. An '+' following a median estimate means the median falls in the upper interval of an open-ended distribution. 5. An '***' entry in the margin of error column indicates that the median falls in the lowest interval or upper interval of an open-ended distribution. Astatistical test is not appropriate. 6. An '*****' entry in the margin of error column indicates that the estimate is controlled. A statistical test for sampling variability is not appropriate. 7. An 'N' entry in the estimate and margin of error columns indicates that data for this geographic area cannot be displayed because the number ofsample cases is too small.

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8. An '(X)' means that the estimate is not applicable or not available.