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    May 2012

    Thank you for your interest in the first ever "Minnesota Data Opener"!

    We at the MN State Demographic Center are pleased to partner with Minnesota Public Radio to offe

    opportunity to put some of the data we work with every day in the hands (and the code and the artican help us see it through new eyes. For the inaugural data opener, we have decided to focus uponachievement , which is the central theme of our forthcoming report, "A Time For Talent."

    This workbook contains some of the data found in that report--showing educational attainment amoage, race/ethnicity, gender, nativity (U.S.-born or foreign-born), etc. Plus a wealth of other data (25about education and how it can change people's lives.

    Some themes you may wish to explore:* How does educational attainment differ by characteristics?* Will the younger generation of Minnesotans, which is also the most diverse, be less likely to gradu

    school than the generations before them?* How is educational attainment associated with poverty, median income, or health insurance?* How well educated are Minnesota's immigrant (foreign-born) population, compared to our native-

    population?* What degrees are college graduates earning? Do they match the needs of our economy?

    These are some ideas to get you started, but feel free to go in any direction your data muse leads.

    A word of caution about margins of error: The data in this workbook originated from surveys, whichpretty good idea, but can't be completely precise. So for example, you may see that , in 2010, 31.5%25+ had a bachelor's degree or higher. However, this percentage also has a margin of error (+ or - 0.we believe the actual percent is between 31.1% and 31.9%, the range created by adding and subtra31.5%. You do not need to worry much about margins of error, except when making comparisons bepercentage for two groups appears different in the estimate column, but the range created by the moverlapping, we can't be certain that any true difference exists. So be careful not to make strong condata are too close to call.

    Also pay attention to the titles in cell A1. That will give you a sense of the "universe" (everyone the dabout), which is not always the total population. It may be only a certain age or racial group, for exaHere are some recent reports and additional data that have shaped our thinking about how educatiocritical to the emerging economy. You may wish to read them for background. Feel free to referenceproducts you create.

    * All Hands on Deck: Fifteen Ideas for Strengthening Minnesota's Workforcehttp://www.gwdc.org/policy_advisory/All_Hands_on_Deck_2011.pdf

    * Changing the fortunes of America's workforce: A human-capital challengehttp://www.mckinsey.com/Insights/MGI/Research/Labor_Markets/Changing_the_fortunes_of_US_* Help Wanted: Projections of Jobs and Education Requirements Through 2018, Georgetown Centerthe Workforce: http://cew.georgetown.edu/jobs2018/

    http://www.mncompass.org/economyworkforce/key-measures.php?km=Educationalattainmenthttp://www.mncompass.org/economyworkforce/key-measures.php?km=Educationalattainmenthttp://www.mncompass.org/economyworkforce/key-measures.php?km=Educationalattainmenthttp://www.mncompass.org/economyworkforce/key-measures.php?km=Educationalattainmenthttp://www.mncompass.org/economyworkforce/key-measures.php?km=Educationalattainmenthttp://www.mncompass.org/economyworkforce/key-measures.php?km=Educationalattainmenthttp://www.mncompass.org/economyworkforce/key-measures.php?km=Educationalattainmenthttp://www.mncompass.org/economyworkforce/key-measures.php?km=Educationalattainmenthttp://www.mncompass.org/economyworkforce/key-measures.php?km=Educationalattainmenthttp://www.mncompass.org/economyworkforce/key-measures.php?km=Educationalattainmenthttp://www.mncompass.org/economyworkforce/key-measures.php?km=Educationalattainmenthttp://www.mncompass.org/economyworkforce/key-measures.php?km=Educationalattainmenthttp://www.mncompass.org/economyworkforce/key-measures.php?km=Educationalattainmenthttp://www.mncompass.org/economyworkforce/key-measures.php?km=Educationalattainmenthttp://www.mncompass.org/economyworkforce/key-measures.php?km=Educationalattainmenthttp://www.mncompass.org/economyworkforce/key-measures.php?km=Educationalattainmenthttp://www.mncompass.org/economyworkforce/key-measures.php?km=Educationalattainmenthttp://www.mncompass.org/economyworkforce/key-measures.php?km=Educationalattainmenthttp://www.mncompass.org/economyworkforce/key-measures.php?km=Educationalattainmenthttp://www.mncompass.org/economyworkforce/key-measures.php?km=Educationalattainmenthttp://www.mncompass.org/economyworkforce/key-measures.php?km=Educationalattainmenthttp://www.mncompass.org/economyworkforce/key-measures.php?km=Educationalattainmenthttp://www.mncompass.org/economyworkforce/key-measures.php?km=Educationalattainmenthttp://www.mncompass.org/economyworkforce/key-measures.php?km=Educationalattainmenthttp://www.mncompass.org/economyworkforce/key-measures.php?km=Educationalattainmenthttp://www.mncompass.org/economyworkforce/key-measures.php?km=Educationalattainmenthttp://www.mncompass.org/economyworkforce/key-measures.php?km=Educationalattainmenthttp://www.mncompass.org/economyworkforce/key-measures.php?km=Educationalattainmenthttp://www.mncompass.org/economyworkforce/key-measures.php?km=Educationalattainmenthttp://www.mncompass.org/economyworkforce/key-measures.php?km=Educationalattainmenthttp://www.mncompass.org/economyworkforce/key-measures.php?km=Educationalattainmenthttp://www.mncompass.org/economyworkforce/key-measures.php?km=Educationalattainmenthttp://www.mncompass.org/economyworkforce/key-measures.php?km=Educationalattainmenthttp://www.mncompass.org/economyworkforce/key-measures.php?km=Educationalattainmenthttp://www.mncompass.org/economyworkforce/key-measures.php?km=Educationalattainmenthttp://www.mncompass.org/economyworkforce/key-measures.php?km=Educationalattainmenthttp://www.mncompass.org/economyworkforce/key-measures.php?km=Educationalattainmenthttp://www.mncompass.org/economyworkforce/key-measures.php?km=Educationalattainmenthttp://www.mncompass.org/economyworkforce/key-measures.php?km=Educationalattainmenthttp://www.mncompass.org/economyworkforce/key-measures.php?km=Educationalattainmenthttp://www.mncompass.org/economyworkforce/key-measures.php?km=Educationalattainmenthttp://www.mncompass.org/economyworkforce/key-measures.php?km=Educationalattainmenthttp://www.mncompass.org/economyworkforce/key-measures.php?km=Educationalattainmenthttp://www.mncompass.org/economyworkforce/key-measures.php?km=Educationalattainment
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    * Alliance for Excellent Education, High School State Cards (Updated March 2012):http://www.all4ed.org/files/Minnesota_hs.pdf

    *Minnesota Compass, Educational Attainment: http://www.mncompass.org/economyworkforce/kemeasures.php?km=Educationalattainment#1-4628-g

    * U.S. Census Bureau, Educational Attainment portal: http://www.census.gov/hhes/socdemo/educaIf you have questions about how the "MN Data Opener" works, please contact Michael Olson at molhave questions about how to interpret the data tables in this workbook, please contact Andi [email protected].

    Thanks, and good luck! We can't wait to see what you create.

    Susan Brower, Andi EgbertMN State Demographer Research Analyst Specialist

    http://www.mncompass.org/economyworkforce/key-measures.php?km=Educationalattainmenthttp://www.mncompass.org/economyworkforce/key-measures.php?km=Educationalattainmenthttp://www.mncompass.org/economyworkforce/key-measures.php?km=Educationalattainmenthttp://www.mncompass.org/economyworkforce/key-measures.php?km=Educationalattainmenthttp://www.mncompass.org/economyworkforce/key-measures.php?km=Educationalattainmenthttp://www.mncompass.org/economyworkforce/key-measures.php?km=Educationalattainmenthttp://www.mncompass.org/economyworkforce/key-measures.php?km=Educationalattainmenthttp://www.mncompass.org/economyworkforce/key-measures.php?km=Educationalattainmenthttp://www.mncompass.org/economyworkforce/key-measures.php?km=Educationalattainmenthttp://www.mncompass.org/economyworkforce/key-measures.php?km=Educationalattainmenthttp://www.mncompass.org/economyworkforce/key-measures.php?km=Educationalattainmenthttp://www.mncompass.org/economyworkforce/key-measures.php?km=Educationalattainmenthttp://www.mncompass.org/economyworkforce/key-measures.php?km=Educationalattainmenthttp://www.mncompass.org/economyworkforce/key-measures.php?km=Educationalattainmenthttp://www.mncompass.org/economyworkforce/key-measures.php?km=Educationalattainmenthttp://www.mncompass.org/economyworkforce/key-measures.php?km=Educationalattainmenthttp://www.mncompass.org/economyworkforce/key-measures.php?km=Educationalattainment
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    r this unique

    stry) of people whoducational

    ng Minnesotans bytables to be exact)

    te from high

    born

    means we have aof Minnesotans age%). That means thatting 0.4% fromtween groups. If theargins of error isclusions when the

    ata in the tables aremple.

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    http://www.mncompass.org/economyworkforce/key-measures.php?km=Educationalattainmenthttp://www.mncompass.org/economyworkforce/key-measures.php?km=Educationalattainmenthttp://www.mncompass.org/economyworkforce/key-measures.php?km=Educationalattainmenthttp://www.mncompass.org/economyworkforce/key-measures.php?km=Educationalattainmenthttp://www.mncompass.org/economyworkforce/key-measures.php?km=Educationalattainmenthttp://www.mncompass.org/economyworkforce/key-measures.php?km=Educationalattainmenthttp://www.mncompass.org/economyworkforce/key-measures.php?km=Educationalattainmenthttp://www.mncompass.org/economyworkforce/key-measures.php?km=Educationalattainmenthttp://www.mncompass.org/economyworkforce/key-measures.php?km=Educationalattainmenthttp://www.mncompass.org/economyworkforce/key-measures.php?km=Educationalattainmenthttp://www.mncompass.org/economyworkforce/key-measures.php?km=Educationalattainmenthttp://www.mncompass.org/economyworkforce/key-measures.php?km=Educationalattainmenthttp://www.mncompass.org/economyworkforce/key-measures.php?km=Educationalattainmenthttp://www.mncompass.org/economyworkforce/key-measures.php?km=Educationalattainmenthttp://www.mncompass.org/economyworkforce/key-measures.php?km=Educationalattainmenthttp://www.mncompass.org/economyworkforce/key-measures.php?km=Educationalattainmenthttp://www.mncompass.org/economyworkforce/key-measures.php?km=Educationalattainmenthttp://www.mncompass.org/economyworkforce/key-measures.php?km=Educationalattainmenthttp://www.mncompass.org/economyworkforce/key-measures.php?km=Educationalattainmenthttp://www.mncompass.org/economyworkforce/key-measures.php?km=Educationalattainmenthttp://www.mncompass.org/economyworkforce/key-measures.php?km=Educationalattainmenthttp://www.mncompass.org/economyworkforce/key-measures.php?km=Educationalattainment
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    -

    tion/

    [email protected]. If yout

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    Margin of Error Estimate Margin of Error+/-2,754 263,182 +/-1,969+/-0.6 14.1% +/-1.0+/-1.0 32.7% +/-1.4+/-1.2 44.7% +/-1.7+/-0.7 8.6% +/-0.8+/-3,055 1,709,230 +/-2,565+/-0.2 3.5% +/-0.2+/-0.2 5.5% +/-0.3+/-0.3 28.5% +/-0.5+/-0.3 22.2% +/-0.4+/-0.3 9.0% +/-0.3+/-0.3 20.6% +/-0.5+/-0.2 10.7% +/-0.3+/-0.2 91.0% +/-0.3+/-0.4 31.3% +/-0.5+/-3,483 358,928 +/-2,344+/-0.5 91.2% +/-0.8+/-0.9 32.4% +/-1.2+/-3,158 352,264 +/-2,076+/-0.4 92.7% +/-0.5+/-0.8 35.0% +/-1.0+/-3,169 709,565 +/-1,867+/-0.3 93.9% +/-0.4+/-0.5 31.0% +/-0.7

    +/-1,565 288,473 +/-1,036+/-0.6 81.3% +/-0.9+/-0.8 25.9% +/-1.0

    +/-1.3 21.6% +/-1.7+/-0.5 9.2% +/-0.7+/-0.4 5.9% +/-0.5+/-0.3 2.5% +/-0.3

    +/-301 41,682 +/-320+/-776 21,917 +/-999+/-407 32,880 +/-745+/-427 40,436 +/-570

    +/-535 58,102 +/-1,023+/-1,028 73,413 +/-1,611

    (X) (X) (X)

    S1501: Educational Attainment2009 American Community Survey 1-Year

    NOTE. For information on confidentiality

    protection, sampling error, nonsampling error,

    and definitions, see Survey Methodology.

    Subject MinnesotaTotal MaleEstimate

    Population 18 to 24 years 522,129Less than high school graduate 12.7%High school graduate (includes equivalency) 28.0%Some college or associate's degree 48.6%Bachelor's degree or higher 10.7%

    Population 25 years and over 3,486,153Less than 9th grade 3.5%9th to 12th grade, no diploma 5.0%High school graduate (includes equivalency) 27.9%Some college, no degree 22.3%Associate's degree 9.7%Bachelor's degree 21.2%Graduate or professional degree 10.3%Percent high school graduate or higher 91.5%Percent bachelor's degree or higher 31.5%

    Population 25 to 34 years 700,898High school graduate or higher 92.4%Bachelor's degree or higher 36.8%

    Population 35 to 44 years 696,967High school graduate or higher 93.6%Bachelor's degree or higher 37.6%

    Population 45 to 64 years 1,418,998High school graduate or higher 94.3%Bachelor's degree or higher 30.9%

    Population 65 years and over 669,290High school graduate or higher 82.2%Bachelor's degree or higher 20.7%

    POVERTY RATE FOR THE POPULATION 25Less than high school graduate 25.2%High school graduate (includes equivalency) 10.4%Some college or associate's degree 7.1%Bachelor's degree or higher 2.8%

    MEDIAN EARNINGS IN THE PAST 12 MONTHSPopulation 25 years and over with earnings 35,926Less than high school graduate 19,696High school graduate (includes 27,609Some college or associate's degree 33,668

    Bachelor's degree 48,264Graduate or professional degree 61,011

    PERCENT IMPUTEDEducational attainment 2.9%

    Source: U.S. Census Bureau, 2009 American

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    applicable or not available.

    Community Survey

    Data are based on a sample and are subject to

    sampling variability. The degree of uncertainty

    for an estimate arising from sampling

    variability is represented 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 interpreted roughly as providing a

    90 percent probability that the interval

    of error and the estimate plus the margin of

    error (the lower and upper confidence bounds)

    contains the true value. In addition to

    sampling variability, the ACS estimates are

    subject to nonsampling error (for a discussion

    of nonsampling variability, see Accuracy of the

    Data). The effect of nonsampling error is not

    represented in these tables.

    Notes:

    While the 2009 American Community Survey

    (ACS) data generally reflect the November

    2008 Office of Management and Budget (OMB)

    definitions of metropolitan and micropolitan

    statistical areas; in certain instances the

    names, codes, and boundaries of the principal

    cities shown in ACS tables may differ 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 2000 data. Boundaries for urban areas

    have not been updated since Census 2000. As

    a result, data for urban and rural areas from

    the ACS do not necessarily reflect the results of

    ongoing urbanization.

    Explanation of Symbols:

    1. An '**' entry in the margin of error column

    indicates that either no sample observations or

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    Estimate Margin of Error258,947 +/-1,96211.4% +/-0.823.2% +/-1.352.7% +/-1.712.8% +/-1.01,776,923 +/-2,4313.6% +/-0.24.5% +/-0.227.3% +/-0.422.5% +/-0.410.5% +/-0.421.7% +/-0.410.0% +/-0.392.0% +/-0.331.7% +/-0.5341,970 +/-2,04493.7% +/-0.741.5% +/-1.1344,703 +/-2,16094.5% +/-0.540.2% +/-1.2709,433 +/-2,45394.8% +/-0.430.8% +/-0.6

    380,817 +/-1,07082.9% +/-0.716.8% +/-1.0

    29.2% +/-1.811.5% +/-0.78.3% +/-0.63.0% +/-0.3

    29,824 +/-29616,136 +/-1,10321,567 +/-52628,132 +/-448

    39,784 +/-80252,966 +/-1,140

    (X) (X)

    Female

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    Estimate Mar in of Error Percent

    +/-8,178 2,091,548+/-11,075 64.70%+/-10,136 29.80%+/-10,516 51.10%+/-7,665 21.40%

    +/-4,090 4.20%+/-3,262 2.20%+/-5,875 9.40%+/-4,844 6.20%+/-9,674 35.30%+/-9,167 28.30%+/-4,717 9.70%+/-10,240 31.60%+/-4,184 22.70%+/-0.01 (X)+/-0.02 X

    ***** 5,175,189+/-8,178 40.40%+/-10,272 20.70%+/-10,185 29.50%+/-7,933 3.60%+/-9,992 5.80%+/-5,512 2.60%

    +/-2,622 2,090,940+/-9,090 34.60%+/-11,456 53.50%

    Males 15 years and over 2,090,940Never married 723,833Now married, except separated 1,119,156

    Nonrelatives 301,507Unmarried partner 134,308

    MARITAL STATUS

    Spouse 1,069,421Child 1,525,535Other relatives 187,178

    RELATIONSHIPPopulation in households 5,175,189

    Householder 2,091,548

    Households with one or more people 65 473,862Average household size 2.47Average family size 3.06

    Householder living alone 591,12465 years and over 203,476

    Households with one or more people under 661,882

    Female householder, no husband present, 197,001With own children under 18 years 129,583

    Nonfamily households 737,790

    With own children under 18 years 447,290

    Male householder, no wife present, family 87,757With own children under 18 years 46,694

    Family households (families) 1,353,758With own children under 18 years 623,567

    Married-couple family 1,069,000

    EstimateHOUSEHOLDS BY TYPE

    Total households 2,091,548

    DP02: SELECTED SOCIAL CHARACTERISTICS IN2010 American Community Survey 1-Year

    Supporting documentation on code lists,

    subject definitions, data accuracy, and

    statistical testing can be found on the

    American Community Survey website 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

    Community Survey website in the

    Methodology section.

    Although the American Community Survey

    (ACS) produces population, demographic and

    housing unit estimates, for 2010, the 2010

    Census provides the official counts of the

    population and housing units for the nation,states, counties, cities and towns.

    Subject Minnesota

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    +/-2,313 0.90%+/-2,462 2.20%+/-5,348 8.70%+/-2,853 2,155,042+/-6,345 28.20%+/-10,833 51.50%

    +/-2,635 1.20%+/-3,479 8.40%+/-6,610 10.70%

    +/-3,831 73,251+/-2,394 29.90%+/-4 (X)+/-3 (X)+/-4 (X)+/-6 (X)+/-3 X

    +/-3,629 58,789+/-2,203 36.90%

    +/-1,239 10.30%+/-1,253 9.60%+/-879 5.90%+/-1,311 11.20%+/-2,203 21,712+/-1,366 59.60%+/-2,119 66.80%

    +/-10,229 1,421,768+/-4,145 6.80%+/-3,043 4.90%+/-4,627 38.90%+/-4,180 20.80%+/-8,463 28.60%

    +/-3,505 3,528,096+/-5,274 3.30%+/-5,674 4.90%+/-11,471 27.30%+/-9,528 22.70%+/-7,265 10.00%+/-10,312 21.50%+/-9,008 10.30%(X) 91.80%(X) 31.80%

    +/-2,235 4,024,747+/-6,124 9.40%

    +/-680 5,252,092+/-10,409 10.00%+/-2,166 1,281,022+/-3,113 3.70%+/-3,049 3,314,30018 to 64 years 3,314,300

    With a disability 522,643Under 18 years 1,281,022

    With a disability 47,699

    Civilian veterans 377,976DISABILITY STATUS OF THE CIVILIAN

    Total Civilian Noninstitutionalized 5,252,092

    Percent bachelor's degree or higher (X)

    VETERAN STATUSCivilian population 18 years and over 4,024,747

    Bachelor's degree 760,013Graduate or professional degree 362,823Percent high school graduate or higher (X)

    High school graduate (includes equivalency) 963,579Some college, no degree 799,477Associate's degree 353,299

    Population 25 years and over 3,528,096Less than 9th grade 115,8539th to 12th grade, no diploma 173,052

    High school (grades 9-12) 295,963College or graduate school 406,711

    EDUCATIONAL ATTAINMENT

    Nursery school, preschool 96,458Kindergarten 69,691Elementary school (grades 1-8) 552,945

    Who are married 14,501SCHOOL ENROLLMENT

    Population 3 years and over enrolled in 1,421,768

    5 or more years 6,559Number of grandparents responsible for 21,712

    Who are female 12,933

    Less than 1 year 6,0371 or 2 years 5,6333 or 4 years 3,483

    Number of grandparents living with own 58,789Responsible for grandchildren 21,712Years responsible for grandchildren

    Per 1,000 women 20 to 34 years old 106Per 1,000 women 35 to 50 years old 25

    GRANDPARENTS

    Per 1,000 unmarried women 33Per 1,000 women 15 to 50 years old 57Per 1,000 women 15 to 19 years old 17

    FERTILITYNumber of women 15 to 50 years old who 73,251

    Unmarried women (widowed, divorced, and 21,866

    Separated 26,387Widowed 180,328Divorced 229,835

    Females 15 years and over 2,155,042Never married 607,956Now married, except separated 1,110,536

    Separated 19,707Widowed 45,527Divorced 182,717

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    11/172

    +/-8,302 8.00%+/-2,269 656,770+/-4,770 31.80%

    +/-3,049 5,244,256+/-17,843 85.40%

    +/-17,985 14.10%+/-14,301 8.10%+/-11,590 6.00%+/-10,092 4.30%+/-6,022 1.70%+/-4,075 0.50%

    ***** 5,310,584+/-9,332 92.90%+/-9,428 92.30%+/-18,084 68.80%+/-18,291 23.40%+/-2,654 0.60%+/-9,332 7.10%

    +/-9,332 378,483+/-7,592 44.70%+/-8,592 55.30%

    +/-9,428 410,995+/-2,654 32,512+/-1,562 24.10%+/-2,349 75.90%+/-9,332 378,483+/-7,907 43.80%+/-7,677 56.20%

    +/-9,332 378,483+/-3,952 11.10%+/-5,341 37.20%+/-5,532 20.20%+/-862 0.50%+/-4,617 27.40%+/-1,809 3.60%

    +/-2,431 4,954,466+/-12,273 89.50%+/-12,208 10.50%+/-7,806 4.20%+/-6,703 3.80%

    +/-4,789 1.70%+/-6,475 2.10%+/-2,842 0.50%+/-5,552 2.90%+/-4,257 1.30%+/-7,293 1.70%+/-3,099 0.60%

    ***** 5,310,584ANCESTRY

    Total population 5,310,584

    Speak English less than "very well" 66,497Other languages 85,733

    Speak English less than "very well" 30,977

    Other Indo-European languages 105,522Speak English less than "very well" 25,011

    Asian and Pacific Islander languages 141,817

    Speak English less than "very well" 205,751Spanish 188,278

    Speak English less than "very well" 83,266

    Population 5 years and over 4,954,466English only 4,433,116Language other than English 521,350

    Latin America 103,622Northern America 13,710

    LANGUAGE SPOKEN AT HOME

    Asia 140,876Africa 76,335Oceania 1,979

    WORLD REGION OF BIRTH OF FOREIGN BORNForeign-born population, excluding 378,483

    Europe 41,961

    Foreign born 378,483Entered 2000 or later 165,741Entered before 2000 212,742

    Native 32,512Entered 2000 or later 7,838Entered before 2000 24,674

    Not a U.S. citizen 209,237YEAR OF ENTRY

    Population born outside the United States 410,995

    U.S. CITIZENSHIP STATUSForeign-born population 378,483

    Naturalized U.S. citizen 169,246

    Different state 1,244,112Born in Puerto Rico, U.S. Island areas, or 32,512

    Foreign born 378,483

    Native 4,932,101Born in United States 4,899,589

    State of residence 3,655,477

    Abroad 25,808PLACE OF BIRTH

    Total population 5,310,584

    Different county 314,676Same state 224,804Different state 89,872

    Same house 4,480,630

    Different house in the U.S. 737,818Same county 423,142

    With a disability 208,932RESIDENCE 1 YEAR AGO

    Population 1 year and over 5,244,256

    With a disability 266,01265 years and over 656,770

    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    12/172

    +/-8,547 3.00%+/-3,700 0.40%+/-5,379 1.80%+/-4,537 1.50%+/-5,382 1.90%+/-9,520 6.00%

    +/-8,105 3.80%+/-4,266 1.00%+/-23,308 35.90%+/-1,938 0.20%+/-2,567 0.30%+/-13,523 11.00%+/-7,094 2.30%+/-1,197 0.10%+/-15,606 15.80%+/-9,570 4.80%+/-1,259 0.10%+/-3,646 0.80%+/-2,486 0.50%+/-3,747 1.20%+/-1,270 0.10%+/-8,673 2.10%+/-14,325 9.10%+/-2,216 0.40%+/-2,256 0.30%+/-2,127 0.40%+/-1,691 0.10%

    Starting in 2008, the Scotch-Irish category does

    not include Irish-Scotch. People who reported

    Irish-Scotch ancestry are classified under

    "Other groups," whereas in 2007 and earlier

    they were classified as Scotch-Irish.

    Welsh 21,337West Indian (excluding Hispanic origin 5,692

    Data are based on a sample and are subject to

    of uncertainty for an estimate arising from

    sampling variability is represented through the

    use of a margin of error. The value shown here

    is the 90 percent margin of error. The marginof error can be interpreted roughly as

    providing a 90 percent probability that the

    interval defined by the estimate minus the

    margin of error and the estimate plus the

    margin of error (the lower and upper

    confidence bounds) contains the true value. In

    addition to sampling variability, the ACS

    estimates are subject to nonsampling error

    (for a discussion of nonsampling variability, see

    Accuracy of the Data). The effect of

    nonsampling error is not represented in these

    tables.

    Swedish 481,114Swiss 23,019Ukrainian 14,820

    Scottish 62,444Slovak 7,739Subsaharan African 109,109

    Portuguese 3,245Russian 40,326Scotch-Irish 27,936

    Lithuanian 4,825Norwegian 840,890Polish 253,796

    Hungarian 14,171Irish 582,386Italian 123,863

    French Canadian 53,723German 1,908,288Greek 12,151

    Dutch 103,316English 319,221

    French (except Basque) 200,438

    Arab 19,425Czech 95,309Danish 78,223

    American 161,040

    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    Estimates of urban and rural population,

    Ancestry listed in this table refers to the total

    number of people who responded with a

    particular ancestry; for example, the estimate

    given for Russian represents the number of

    people who listed Russian as either their first

    or second ancestry. This table lists only the

    largest ancestry groups; see the Detailed

    Tables for more categories. Race and Hispanic

    origin groups are not included in this table

    because official data for those groups come

    from the Race and Hispanic origin questions

    rather than the ancestry question (see

    Demographic Table).

    Data for year of entry of the native population

    reflect the year of entry into the U.S. by people

    who were born in Puerto Rico, U.S. Island

    Areas or born outside the U.S. to a U.S. citizen

    parent and who subsequently moved to the

    U.S.

    The Census Bureau introduced a new set of

    disability questions in the 2008 ACS

    questionnaire. Accordingly, comparisons of

    disability data from 2008 or 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 2010 American Community Survey

    (ACS) data generally reflect the December

    2009 Office of Management and Budget (OMB)

    definitions of metropolitan and micropolitan

    statistical areas; in certain instances the

    boundaries of the principal cities shown in ACS

    tables may differ from the OMB definitions

    due to differences in the effective dates of the

    geographic entities.

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    housing units, and characteristics reflect

    boundaries of urban areas defined based on

    Census 2000 data. Boundaries for urban areas

    have not been updated since Census 2000. As

    a result, data for urban and rural areas from

    the ACS do not necessarily reflect the results of

    ongoing urbanization.

    Source: U.S. Census Bureau, 2010 American

    Community Survey

    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 to compute 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 an estimate, 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 an open-ended

    distribution.

    3. An '-' following a median estimate means

    the median falls in the lowest interval of anopen-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. A statistical test is not

    appropriate.

    6. An '*****' entry in the margin of error

    column indicates that the estimate is

    controlled. A statistical test for samplingvariability is not appropriate.

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    Percent Mar in of Error

    (X)+/-0.4+/-0.5+/-0.5+/-0.3

    +/-0.2+/-0.2+/-0.3+/-0.2+/-0.4+/-0.4+/-0.2+/-0.5+/-0.2(X)X

    (X)+/-0.2+/-0.2+/-0.2+/-0.2+/-0.2+/-0.1

    (X)+/-0.4+/-0.5

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    +/-0.3(X)+/-0.7

    X+/-0.3

    +/-0.3+/-0.3+/-0.2+/-0.2+/-0.1+/-0.1

    (X)+/-0.2+/-0.2+/-0.3+/-0.3+/-0.1+/-0.2

    (X)+/-1.7+/-1.7

    (X)(X)+/-4.2+/-4.2X

    +/-1.7+/-1.7

    (X)+/-1.0+/-1.2+/-1.2+/-0.2+/-1.2+/-0.5

    (X)+/-0.2+/-0.2+/-0.2+/-0.1

    +/-0.1+/-0.1+/-0.1+/-0.1+/-0.1+/-0.1+/-0.1

    X

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    +/-0.2+/-0.1+/-0.1+/-0.1+/-0.1+/-0.2

    +/-0.2+/-0.1+/-0.4+/-0.1+/-0.1+/-0.3+/-0.1+/-0.1+/-0.3+/-0.2+/-0.1+/-0.1+/-0.1+/-0.1+/-0.1+/-0.2+/-0.3+/-0.1+/-0.1+/-0.1+/-0.1

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