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CRIME IN JAPAN IN 2010
Police Policy Research Center National Police Academy
Alumni Association for National Police Academy
CONTENTS
I. Penal Code Offenses ............................................................... 1
II. Juvenile Delinquency and Victimization .............................. 3
III. Economic Crimes .................................................................... 6
IV. Cybercrime Clearances and Complaints ............................... 8
V. JAFIC .................................................................................... 10
VI. Countermeasures against Boryokudan Gangs ................... 12
VII. Drug and Firearm Control ................................................... 16
VIII. Transnational Crime ............................................................ 20
IX. Fatal Traffic Accidents and Road Traffic Law Violations .. 22
X. Nature of Motorcycle Gangs and Crackdown Results ........ 24
XI. Statistics ............................................................................... 25
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I. Penal Code Offenses
1. Aggregate Clearances and Reports to the Police
In 2010, Penal Code offenses reported to the police decreased by 6.9% from the previous year, and continued to decline. In eight consecutive years of decline, it recorded less than 1.6 million for the first time in the Heisei period.
Clearances declined by 8.7%, and arrests declined by 3.1% from the previous year. Arrests of juvenile suspects declined by 4.9% from the previous year. The clearance rate declined by 0.6% from the previous year.
2010 2009 Net change Net percentage change (%)
Reports to police 1,585,856 1,703,044 -117,188 -6.9
Clearances 497,356 544,699 -47,343 -8.7
Arrests 322,620 332,888 -10,268 -3.1
Juvenile suspects 85,846 90,282 -4,436 -4.9
Clearance rate (%) 31.4 32.0 -0.6 points
Note: In this chapter, Clearances means the number of cases solved; Arrests means the number of suspects arrested or found by police, including juvenile suspects (aged 14 or older); Reports to police means the number of offenses reported to police, and Clearance rate means the percentage of the number of cases cleared vis--vis the number of offense reports to police.
2. Categories of Penal Code Offenses Known to the Police
Homicide declined to 1,067 (down 27, 2.5%), the lowest record after the war. Robbery in monetary facilities declined to 69 (down 15, 17.9%). Robbery in
convenience stores also declined to 723 (down 174, 19.4%). On the other hand, robbery in stores with relatively weaker crime-resistant capabilities is increasing (robbery in the rest of the stores rose by 1, 0.2%).
Purse-snatchings was recorded at 14,559 (vastly down 4,477, 23.5%) In larceny, the decline rate of clearances (9.4%) exceeded that of arrests (0.3%).
Estimated un-adjudicated crimes declined vastly.
Indecent assaults reported to police was recorded at 7,027 (up 339), while public indecency was recorded at 2,651 (up 294).
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2010 2009 Net change
Net percentage change (%)
Penal Code offenses (total) Reports to police 1,585,856 1,703,044 -117,188 -6.9
Clearances 497,356 544,699 -47,343 -8.7
Arrests 322,620 332,888 -10,268 -3.1
Felonious offenses Reports to police 7,576 8,314 -738 -8.9
Clearances 5,503 6,073 -570 -9.4
Arrests 5,021 5,654 -633 -11.2
Violent offenses Reports to police 63,646 63,995 -349 -0.5
Clearances 45,932 45,719 213 0.5
Arrests 49,525 49,225 300 0.6
Larceny offenses Reports to police 1,213,442 1,299,294 -85,852 -6.6
Clearances 327,786 361,969 -34,183 -9.4
Arrests 175,214 175,823 -609 -0.3
Intellectual offenses Reports to police 44,347 53,002 -8,655 -16.3
Clearances 29,688 34,147 -4,459 -13.1
Arrests 14,138 15,433 -1,295 -8.4
Indecency offenses Reports to police 10,893 10,182 711 7.0
Clearances 6,742 6,478 264 4.1
Arrests 6,033 5,951 82 1.4
Other Penal Code offenses
Reports to police 245,952 268,257 -22,305 -8.3
Clearances 81,705 90,313 -8,608 -9.5
Arrests 72,689 80,802 -8,113 -10.0
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II. Juvenile Delinquency and Victimization
1. Juvenile Delinquency (aged under 20)
(1) Juvenile Penal Code offenders (aged from 14 to 19) continued to decline for seven consecutive years.
Juvenile Penal Code offenders (aged from 14 to 19) fell to 85,846, down 4.9% from the previous year.
Juvenile Penal Code offenders out of the 1,000 juveniles stood at 11.8. The rate, which is about 5.1-fold the adult figure, still remained high although slightly decreased.
Juveniles accounted for 26.6% of the total Penal Code offenders. Violent offenses and indecent offenses committed by juveniles are on the increase.
Among violent offenses, bodily injuries increased 2.1%. Among indecent assaults, indecency through compulsion increased 13.2%.
The rate of repeat offenses continued to increase. Among them, the rate of heinous crimes and violent crimes were more than 50%.
Trends in Juvenile Penal Code Offenders (aged 1419)
Year 2001 2006 2007 2008 2009 2010 Juvenile Penal Code offenders 138654 112,817 103,224 90,966 90,282 85,846(Rate per 1,000 of the juvenile population) 16.0 14.8 13.8 12.4 12.4 11.8
Felonious offenses 2,127 1,170 1,042 956 949 783
Murder 99 69 62 50 50 43Robbery 1,670 892 757 713 696 565
Violent offenses 18,416 9,817 9,248 8,645 7,653 7,729Larceny offenses 81,260 62,637 58,150 52,557 54,784 52,435Intellectual offenses 526 1,294 1,142 1,135 1,144 978Indecency offenses 410 346 341 389 399 437Other Penal Code offenses 35,915 37,553 33,301 27,284 25,353 23,484
Juvenile percentage of all Penal Code offenders (%) 42.6 29.4 28.2 26.8 27.1 26.6
Repeat offenders 36,662 33,842 31,230 28,404 28,295 27,050
Rate of repeat offenses 26.4 30.0 30.3 31.2 31.3 31.5
(2) Juvenile Penal Code offenders (aged under 14) on the decrease
Juveniles (aged under 14), who violated the Penal Code, declined to 17,727, down 1.7% from the previous year.
Violent offenses, theft, and indecency offenses committed by juveniles are on the increase. Violence and others among violent offenses, increased by 22.0%. There was
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an increase each in motorcycle theft among theft by 13.9% and indecency through compulsion by 9.1%.
Juvenile Penal Code Offenders (aged under 14)
Year 2001 2006 2007 2008 2009 2010
Total 20,067 18,787 17,904 17,568 18,029 17,727
Felonious offenses 165 225 171 110 143 103
Violent offenses 1,696 1,467 1,425 1,347 1,336 1,497
Larceny offenses 14,128 11,945 11,193 11,356 12,026 12,077
Intellectual offenses 37 63 55 65 68 60
2. Juvenile Victims
(1) The highest child abuse cases ever
Child abuse cases stood at 354 (up 5.7%); arrests of child abuse were at 387 (up 8.7%). The number of child victims rose to 362 (up 4.3%) each from the previous year. All of them are the highest since 1999 when the statistics started.
Among the arrested cases, physical abuse cases are at 270 (up 15.4%), neglect (negligence or refusal) counts at 17 (up 70.0%). Both of them increased from the previous year.
Although deaths caused by child abuse increased to 33 (up 17.9%), it still is lower than 2001 when the deaths stood at the highest.
Year 2001 2006 2007 2008 2009 2010
Child Abuse Cases 189 297 300 307 335 354
Arrests 216 329 323 319 356 387
Victims 194 316 315 319 347 362
Deaths 61 59 37 45 28 33
(2) The highest increase in child pornography
Referred cases of Welfare Offenses rose to 8,146 (up 5.1%). Among them, cases violating Youth Protection Ordinances are the highest with 3,078 (up 2.2%). Cases violating the Child Prostitution/Pornography Act are at 2,296 (up 13.1%).
Among them, the child pornography cases referred were 1,342 (up 43.5%), with child victims of 614 (up 51.6%), and the both of them are at the highest level with the drastic increase. Child victims of pre-junior high school students were at 126 (up 103.2%), accounting for 20.5% of the total.
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Among the child pornography cases referred, those concerning the Internet drastically rose to 783 (up 54.4%).
Year 2006 2007 2008 2009 2010
Cases referred 616 567 676 935 1,342
Internet-related cases (%)
251(40.7)
192(33.9)
254(37.6)
507 (54.2)
783 (58.3)
Offenders referred 350 377 412 650 926
Child victims 253 275 338 405 614
3. Police Countermeasures
Promoting the creation of a society which does not lead the youth into delinquency, such as providing rehabilitative support to juveniles repeating delinquency.
Finding child abuse cases in the early stages and carefully prioritizing that the childrens safety is ensured and secured.
Promoting measurements against child pornography, including the crackdown on vicious child pornography cases.
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III. Economic Crimes
1. Clearances
(1) Loan Sharks
In 2010, there were 393 cases solved, down by 49 or 11.1%, 755 offenders were arrested, down by 60 or 7.4% and people under 11 legal entities were arrested, down by 1 or 8.3%, from the previous year. Their victims were 76,575, down by 17,636 or 18.7%, and the total amount in damages was 11,510,650,000 yen, down by 8,320,300,000 yen or 42.0%.
Boryokudan members were involved in 23.2% of all total cases. However, it is estimated that there are far more loan sharks with relations to the Boryokudan.
(2) Investment Fraud
The number of investment fraud cleared in 2010 was 31, up by 2 or 6.9% from the previous year, and 110 offenders were arrested, down by 15 or 12.0%. The number of juridical entities cleared was 10, up by 3 or 42.9%. The number of victims was approximately 19 thousand, down by about 35 thousand or 64.6%, and the total amount in damages was approximately 18 billion yen, down by 147 billion or 89.1%.
2006 2007 2008 2009 2010
Cases cleared 17 12 22 29 31
Suspects arrested 73 86 117 125 110
Corporations cleared 4 3 4 7 10
Victims 14,429 30,230 64,016 53,698 19,014
Amount in damages 43.7 billion 80.8 billion 158.0 billion 165.4 billion 18.0 billion
(3) Commercial Transaction Scams
In 2010, there were 193 cases solved, up by 41 or 27.0%, and 430 offenders were arrested, up by 59 or 15.9%. The number of juridical entities cleared was 21, down by 10 or 32.3%. The number of victims was approximately 104 thousand, up by about 70 thousand or 211.6%, and the total amount in damages was approximately 11.2 billion yen, up by 2.3 billion yen or 26.4%.
(4) Environmental crimes
In 2010, there were 6,183 cases related to illegal waste disposal, up by 55 or 0.9%; and 7,679 offenders were arrested, up by 80 or 1.1% from the previous year.
Among them, industrial waste cases stood at 1,174, down by 54 or 4.4%; and 1,820 offenders were arrested, down by 73 or 3.9% from the previous year.
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(5) Intellectual property crimes
There were 398 cases cleared in 2010, up by 34 or 9.3%; and 583 offenders were arrested, down by 37 or 6.0% from the previous year.
92.0% of the imitation brand-name products seized by police, except for those of which the supplier was unclear, were illegally imported from China.
52.3% of IPR infringement cases were committed on the Internet. (6) Food safety
There were 46 cases of false food-source indication cleared, down by 20 or 30.3%; and 85 offenders were arrested, down by 47 or 35.6% from the previous year.
Food hygiene-related cases stood at 36, up by 4 or 12.5%, and 65 offenders were arrested, up by 40 or 160.0% from the previous year.
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IV. Cybercrime Clearances and Complaints
1. Cybercrime Clearances
In 2010, there were 6,933 cases solved, up by 243 or 3.6% from the previous year.
(1) Violations of the Unauthorized Computer Access Act
Violations of the Unauthorized Computer Access Act stood at 1,601, down by 933 or 36.8% from the previous year.
(2) Crimes involving Computers or Electromagnetic Records
Crimes involving computers or electromagnetic records stood at 133, down by 62 or 31.8% from the previous year.
(3) Crimes Using Networks
Crimes using networks stood at 5,199, down by 1,238 or 31.3% from the previous year.
Fraud using networks rose to 1,566, up by 283 or 22.3% from the previous year. Among them, fraud using Internet auction rose to 677, up by 155 or 29.7% from the previous year.
Cases concerning Child Prostitution and the Juvenile Protection Ordinance rose to 891, up by 149 or 20.1% from the previous year.
Cases concerning the Distribution of Obscene Materials and Child Pornography stood at 1,001, up by 354 or 54.7% from the previous year.
Violations of the Act on Regulating Enticement of Children through Websites for Social Networking of Opposite Sexes rose to 412, up by 63 or 18.1% from the previous year.
Violation of the copyright act stood at 368, up by 180 or 95.7%.
2. Complaints Regarding Cybercrime
In 2010, police across the nation received a total of 75,810 complaints via cybercrime hotlines and other avenues, down by 7,929 or 9.5% from the previous year.
The complaints on fraudulent transactions decreased to 31,333 (down by 8,982 or 22.3%) and those on nuisance mails increased to 9,836 (up by 3,298 or 50.4%), while those on Internet auctions decreased to 6,905 (down by 954 or 12.1%). Those on unauthorized computer access or computer virus decreased to 3,668, down by 515 or 12.3%.
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3. Suicide Notices on the Internet
Suicide notices on the Internet to which the police reacted based on the information from providers in 2010 decreased to 280 cases or 288 personnel, up by 57 cases or 60 personnel. 4. Anti-Cybercrime Measures
(1) Reinforcement of Investigation
While establishing the framework of cracking down illegal information on the Internet, cybercrime measures with co-investigation systems throughout the country must be strengthened.
On researching new methods against new modus operandi including fishing and file sharing software, a new way of crackdown based on it must be promoted.
Investigation against cybercrimes is reinforced by letting police officers, including those in police stations, develop investigative skills through various educational programs.
(2) Appropriate response to complaints and promoting awareness
Based on the analysis of the situation on cybercrimes, including increasing online fraud using credit card numbers of other people and online complaints, there must be cooperation with business entities on adapting security equipments, including 3D-secure.
(3) Countermeasures against suicide notices posted on the Internet
The police quickly identify those who post suicide notices on the Internet with the cooperation of providers and implement measures to prevent them, including guarding and rescuing.
- 10 -
V. JAFIC
1. Suspicious Transactions Reported
(1) Reported Number of Suspicious Transactions
There were 294,305 reports (up by 21,980 or 8.1% from the previous year) in 2010. 271,236 reports (92.2% of the total) were from banks, and 172,394 reports (58.6% of
the total) were through the electronic reporting system. Among them, there were 208,650 reports (up 18,901 or 10.0%) referred.
2001 2002 2003 2004 2005 2006 2007 2008 2009 2010
Reports received per year 12,372 18,768 43,768 95,315 98,935 113,860 158,041 235,260 272,325 294,305
Reports referred per year 6,752 12,417 30,090 64,675 66,812 71,241 98,629 146,330 189,749 208,650
(2) Number of Suspicious Transaction Reports (STRs) by Business Institution Types
Business Institution Type 2009 2010 Increase/Decrease Rate
Number of reports %
Number of reports %
Number of reports %
Banks 252,415 92.7% 271,236 92.2% 18,821 7.5%
Shinkin bank and credit cooperatives 10,941 4.0% 11,156 3.8% 215 2.0%
Financial instruments businesses 3,828 1.4% 5,679 1.9% 1,851 48.4%
Money lending businesses 1,148 0.4% 634 0.2% -514 -44.8%
Norinchukin Bank, etc. 281 0.1% 357 0.1% 76 27.0%
Labour Bank 161 0.1% 243 0.1% 82 50.9%
Insurance companies 183 0.1% 202 0.1% 19 10.4%
Other 1,253 0.5% 979 0.3% -274 -21.9%
New business operators
Finance leasing 60 0.0% 83 0.0% 23 38.3%
Credit card 1,510 0.6% 1,617 0.5% 107 7.1%
Real estate transactions
33 0.0% 21 0.0% -12 -36.4%
Dealers of precious metals and stones
0 0.0% 19 0.0% 19 -
Postal receiving services
92 0.0% 36 0.0% -56 -60.9%
Telephone receiving services 2 0.0% 0 0.0% -2 -100.0%
Total 272,325 100.0% 272,305 100.0% 21,980 8.1%
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(3) Outlook of How STRs are Used
The number of cases cleared by prefectural police that were initiated with STRs was 390 (up by 53 or 15.7% from the previous year), including 9 money-laundering cases. 88,060 STRs (up by 18,119 or 25.9%) were utilized for other investigations not initiated with STRs.
2. Money-Laundering Trends
There were 205 cases (down by 21 or 9.2% from the previous year) cleared for money-laundering offenses.
(1) Number of cases cleared for Money Laundering Offenses under the Act on the Punishment of Organized Crimes
Year Classification
2001 2002 2003 2004 2005 2006 2007 2008 2009 2010
Management Control by Criminal Proceeds (Article 9) 0 0 0 0 0 1 0 1 0 1
Concealment of Criminal Proceeds (Article 10)
10 19 45 50 65 91 137 134 172 139
Receipt of Criminal Proceeds (Article 11) 2 9 11 15 42 42 40 38 54 65
Total 12 38 56 65 107 134 177 173 226 205
(2) Number of cases cleared for Money Laundering Offenses under the Anti-Drug Special Provisions Law
Year Classification
2001 2002 2003 2004 2005 2006 2007 2008 2009 2010
Concealment of Narcotics-related Criminal Proceeds (Article 6)
3 0 8 5 3 5 5 10 5 8
Receipt of Narcotics-related Criminal Proceeds (Article 7)
0 0 2 0 2 5 2 2 5 1
Total 3 0 10 5 5 10 7 12 10 9
3. Promotion of International Cooperation
JAFIC (Japan Financial Intelligence Center) has agreed on a framework for information exchange with the FIUs in Turkey, Mexico, Luxemburg, Chile, Finland, and India (By the end of 2010, JAFIC has a framework with 26 countries or regions.)
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VI. Countermeasures against Boryokudan Gangs
1. Characteristics of Anti-Boryokudan Measures in 2010
Enhancement of countermeasures against Yamaguchi-gumi, Kodo-kai Expulsion of Boryokudan from public works projects Enactment and operation of the Boryokudan Elimination Ordinances Measures against Kudo-kai in Kitakyushu area Expulsion of Boryokudan from business activities Expulsion of Boryokudan from financial markets Expulsion of Boryokudan from bank transactions Expulsion of Boryokudan from the construction business Expulsion of Boryokudan from Ozumo (sumo-wrestling)
2. Membership of Boryokudan Gangs
In 2010, all Boryokudan gangsters were 78,600: the three major groups (Yamaguchi-gumi, Inagawa-kai, and Sumiyoshi-kai) held a membership of approximately 56,600, accounting for 72.0% of all gangsters nationwide.
Among them, the Yamaguchi-gumi was highly conspicuous by its stern domination, accounting for 44.4% of all gangsters.
End of 2010 Net change from end of 2009 Percentage
Three major groups
The sixth Yamaguchi-gumi
Members 17,300 -1,700 44.4%
(members only at 48.1%) Associates 17,600 200 Total 34,900 -1,500
Sumiyoshi-kai Members 5,900 -200
16.0% (members only at 16.4%) Associates 6,700 0
Total 12,600 -200
Inagawa-kai Members 4,500 -200
11.6% (members only at 12.5%) Associates 4,600 -100
Total 9,100 -300
Combined total of the three major groups
Members 27,700 -2,100 72.0%
(members only at 76.9%) Associates 28,900 100 Total 56,600 -2,000
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3. Clearances Involving Boryokudan
(1) Overall trends
Boryokudan gangsters arrested for violating the Penal Code or special law offenses rose to 25,686 (down by 817 from the previous year). Clearances were 51,031 cases, down by 4824.
Year
Classification 2006 2007 2008 2009 2010
Total number of gangsters arrested 28,417 27,169 26,064 26,503 25,686
Members of Boryokudan groups 8,471 7,766 7,197 6,776 6,216
Total number of cleared cases 57,557 57,524 56,612 55,855 51,031
(2) Enforcement of the Organized Crime Punishment Law
Special provisions of the law were applied to 18 cases for aggravated punishment, and to 90 cases for the concealment and receipt of crime proceeds.
Year Classification 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010
Aggravated punishment provision for organized crime (Article 3)
9 10 13 18 26 16 16 12 17 18
Harboring of suspects of organized crime (Article 7) 1 0 1 0 0 1 0 0 2 3
Concealment of crime proceeds, etc. (Article 10)
5 9 25 29 21 18 35 41 49 46
Receipt of crime proceeds, etc. (Article 11) 2 7 10 11 27 35 25 21 41 44
Issuance of confiscation and freezing order prior to indictment (Article 23)
1 4 3 5 0 3 7 21 23 36
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(3) Rivalry among Boryokudan gangs
There was no Boryokudan war in 2010. Year
Classification 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010
Number of Boryokudan rivalry cases 5 7 7 6 6 0 3 1 1 0
Those involving the Yamaguchi-gumi group 1 5 5 5 6 0 2 1 0 0
Number of clashes 81 28 44 31 18 (15) 18 6 4 0
Gun-shooting incidents 71 21 32 19 11 (8) 12 3 1 0
Gun-shooting rate (%) 87.7 75.0 72.7 61.3 61.1 (53.3) 66.7 50.0 25.0 0.0
Number of deaths 4 2 7 4 2 0 8 3 2 0
Non-gangster victims 0 0 0 0 0 0 1 0 0 0
Number of injuries 15 14 15 12 4 (6) 8 0 0 0
Non-gangster victims 1 0 0 2 0 0 0 0 0 0
There were 17 gun-shooting cases, down by 5 from the previous year. Year
Classification 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010
Number of gun-shooting incidents 178 112 104 85 51 36 41 32 22 17
Those relating to Boryokudan conflicts 71 21 32 19 11 0 12 3 1 0
Number of deaths 24 18 28 15 7 2 12 8 6 6
Number of injuries 20 20 27 12 6 8 7 5 8 3
The police seized 98 handguns, down by 50 from the previous year. Year
Classification 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010
Total number of handguns seized 591 327 334 309 243 204 231 166 148 98
Genuine handguns 565 301 308 276 216 187 223 158 129 96
Converted handguns 26 26 26 33 27 17 8 8 19 2
(4) Fundraising activities
Their traditional mode of fundraising activities were drug trafficking, extortion, gambling, and bookmaking, and 8,742 gangsters were arrested for those crimes, which accounted for 34.0% of the total Boryokudan arrests.
Their operations also included various crimes committed through companies run by them or having symbiotic relations with them in the fields of finance or construction.
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4. Enforcement of the Anti-Boryokudan Law
As of the end of December 2010, 22 groups were designated as Boryokudan gangs. There were 2,130 discontinuance orders issued, up by 11 from the previous year, while
85 recurrence prevention orders were issued, up by 20 from the previous year. Prevention orders and prohibition orders were 8 and 8, respectively.
5. Boryokudan Elimination Movement
The Ministerial Conference of Crime Countermeasures confirmed the approach of excluding Boryokudan from bids and contracts of public construction.
Twenty-three prefectures established the Boryokudan Elimination Ordinance. The police supported the social movement to eliminate them in various fields of
business.
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VII. Drug and Firearms Control
[Drug Control]
1. Overview
Arrests for methamphetamine offenses rose, and accounted for 82.5% of the total. Among them, those of Boryokudan gangsters rose, too, still accounting for more than half of all the arrests, which showed their strong tendency towards methamphetamine offenses. The seized amount of methamphetamine exceeded 300 kilos for four years continuously.
Arrests for cannabis decreased, but accounted for 15.3% of the total, while the number of cannabis smuggling cases decreased.
Arrests of non-resident foreigners for drug offenses decreased, while Iranians and Chinese showed a strong tendency towards methamphetamine trafficking.
Clearances for all drug smuggling decreased. Among them, those of methamphetamine declined, but still at the high level, with a wider variety of countries shipped from, while those of cannabis, MDMA and other synthetic drugs decreased rapidly.
2. Clearances of Drug Offenses
(1) Methamphetamine offenses
Arrests for methamphetamine offenses stood at 11,993, up by 338 from the previous year. Offenders for its use were 6,915 and those for its possession were 3,938, these two altogether accounted for 90.5% of the total.
Boryokudan gangsters arrested for methamphetamine offenses stood at 6,322, up by 121 from the previous year.
(2) Cannabis offenses
Arrests for cannabis offenses increased to 2,216, down by 704 from the previous year. The seized amount of dry or resin cannabis went down, and the number of seized
stalks rose to 5,696.
Cases on the planting of hemp grass were 172. (3) Drug smuggling cases
Clearances for all drug smuggling rose to 188, down by 72 from the previous year. Among them, those of methamphetamine declined to 132, down by 32. Those of
cannabis decreased to 24, and those of MDMA and other synthetic drugs went down to 3.
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Year Classification
2009 2010
Methamphetamine offenses Clearances 164 132
Arrests 219 158
Cannabis offenses Clearances 45 24
Arrests 48 25
Narcotics and Psychotropic offenses Clearances 47 31
Arrests 52 31
Opium offenses Clearances 4 1
Arrests 2 1
Total Clearances 260 188
Arrests 321 215
(4) Drug offenses by non-resident foreigners
Arrests of non-resident foreigners for drug offenses decreased to 538, down by 39. Three foreign nationals (Iranian, Filipino, and Brazilian) constituted 38.7% of all the
non-resident foreigners arrested.
Number of Arrested Foreign Visitors Classified by Drug Offenses and Nationalities
Total Methamphetamine offenses
Cannabis offenses
Narcotics and Psychotropic
offenses
Opium offenses
2009 2010 2009 2010 2009 2010 2009 2010 2009 2010
Major three smuggling countries
Iran 93 54 85 50 2 2 3 1 3 1
Philippines 57 63 53 58 3 4 1 1 0 0
Brazil 103 91 74 62 20 24 9 5 0 0
Subtotal 253 208 212 170 25 30 13 7 3 1
Others 324 330 214 213 62 63 44 53 4 1
Total 577 538 426 383 87 93 57 60 7 2
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[Firearms Control]
1. Overview
While firearm-shooting incidents stayed unchanged, there was a decrease in the shooting cases of Boryokudan wars.
As a whole, gun-use criminal cases declined; gun-use robbery cases in particular declined significantly.
The number of handgun seizures decreased, with a significant decline of those from Boryokudan gangsters.
Arrests for violating the provisions concerning handguns and gun-parts stipulated in the Firearms and Swords Control Law declined, and those of Boryokudan gangsters also fell significantly.
2. Firearm Offenses
(1) Firearm shootings
The number of firearm shootings decreased to 35, down by 1 or 2.9% from the previous year, with 31 cases using handguns.
Shootings by Boryokudan gangsters decreased to 17, down by 5 or 22.7% from the previous year.
(2) Gun-use criminal cases reported to police
The number of gun-use criminal cases reported to police decreased to 205, down by 48 or 19.0% from the previous year.
Among them, homicide cases rose to 19, up by 5, while robbery cases declined to 60, down by 40.
3. Firearms Control
(1) Handgun seizures
The number of handgun seizures declined to 397, down by 10 or 2.5% from the previous year. Among them, those from Boryokudan gangsters fell to 98, down by 50 or 33.8%.
Clearances of gun smuggling counted 4, same as the previous year, with 1 handgun seized.
(2) Clearances of Offenses of the Firearms and Swords Control Law
The cleared offenses violating the articles concerning smuggling, illegal possession,
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giving and receiving of handguns and gun-parts stipulated in the Firearms and Swords Control Law decreased to 178, down by 37 or 17.2% from the previous year. Among them, those by Boryokudan gangsters were 85, down by 44 or 34.1%.
The number of arrestees was 158, down by 51 or 24.4%. Those of Boryokudan gangsters fell to 77, down by 53 or 40.8%.
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VIII. Transnational Crime
1. Clearances in 2010
The total number of cleared-up cases: 19,809, down by 8,027 (-28.8%) from the previous year
The total number of arrestees: 11,858, down by 1,399 (-10.6%) from the previous year
2009 2010 Net change Net percentage
change (%)
Penal Code offenses Cleared-up cases 20,561 14,025 -6,536 -31.8%
Arrests 7,190 6,710 -480 -6.7%
Special law offenses Cleared-up cases 7,275 5,784 -1,491 -20.5%
Arrests 6,067 5,148 -919 -15.1%
2. Characteristics of Crimes by Foreign Visitors
(1) Long-term trend
The numbers of cleared-up cases and arrests of foreign visitors have been decreasing after peaks in 2004 and 2005.
(2) Comparison by nationality
As for the arrests for Penal Code offenses, those of Chinese nationals declined by 63.0% and those of Brazilian nationals by 22.7%, while those of Vietnamese rose by 200.8% compared with those in 2000. As for the arrests for special law offenses, those of Vietnamese rose by 328.3% and those of Korean declined by 38.7%, compared with those in 2000.
Chinese nationals had been accounting for the highest percentage of clearances and arrestees among foreign nationals for both Penal Code offenses and special law offenses for the past ten years. In 2010, 7,231 cases, or 36.5% of the total of those cases were committed by Chinese nationals.
(3) Comparison by visa status
The arrestees of illegal immigrants have declined by 70.0% for Penal Code offenses and by 50.0% for special law offenses, compared with those in 2000.
Among the arrestees for both Penal Code offenses and special law offenses, those with Training or College student visa have increased.
- 21 -
(4) Comparison by crime categories
Compared with those in 2000, the total number of clearances have declined by 38.9%. The clearances of burglary thefts, violent offenses, and intellectual offenses have
changed by -44.5%, 71.3%, and -8.8%, respectively, compared with those in 2000.
The clearances of the Immigration Control Law offenses have declined by about 40.0%, while the Entertainment Establishments Control Law offenses have increased by three times, and the Anti-Prostitution Law offenses decreased by 48.6%, compared with those in 2000.
(5) Comparison by complicity rate
Among the cleared-up cases of Penal Code offenses, offenses committed alone have decreased by 41.7% and their composition rate rose to 51.8% compared to those in 2000.
(6) Comparison by area of commitment
The cleared-up cases of Penal Code offenses in the Tokyo Metropolitan Area declined, while those in Kanto and Chubu regions rose.
The regional subtotal of the cleared-up cases committed by Chinese nationals was concentrated in Kanto, Kinki, Tokyo and Chubu. Those by Brazilians was concentrated in Chubu and Kanto, while those by Vietnamese in Kanto and Chubu.
3. Offenses Providing Infrastructure for Criminal Activities by Illegal Foreign Residents in Japan
As for fake paternity acknowledgment, 10 cases with 28 arrests were cleared up and the arrests for forgery of passports and alien registration cards declined.
Among illegal foreign residents in Japan who were helped by Japanese brokers to find shelters in Japan, Chinese tenants committed larceny, and Iranians did trafficking of methamphetamine, which indicate that offenses of this category could create a hotbed of various crimes and expand their criminal activities.
- 22 -
IX. Fatal Traffic Accidents and Road Traffic Law Violations
1. Occurrence of Traffic Accidents
Traffic accidents: 725,773, down by 11,701 or 1.6% from the previous year Deaths: 4,863, down by 51 or 1.0% Injuries: 896,208, down by 14,900 or 1.6%
*The number of deaths decreased for 10 consecutive years, and counted less than the previous year which recorded less than 5,000 deaths for the first time in these 57 years. However, the decrease rate was the lowest in these 10 years. The number of traffic accidents and that of injuries and deaths were also decreasing for 6 consecutive years, and that of injuries counted less than 900,000 for the first time in these 16 years.
2. Trends in Traffic Deaths and Fatal Traffic Accidents
(1) In 2010, although traffic deaths among people aged 65 or older decreased than the previous year, it comprised more than half of the total. People aged 65 or older accounted for the most among all ages, 2.2 times as that of all ages.
Elderly people killed: .2,450, down by 2 or 0.1%, a 50.4% share Elderly people killed (every 100,000).8.45, down by 0.24 or 2.8% People of all ages killed (every 100,000).3.81, down by 0.03 or 0.9%
(2) Traffic deaths while walking were the most. Those while riding bicycles decreased the most.
Deaths while walking: 1,714, down by 3 or 0.2%
Deaths while riding motor vehicles: 1,602, up by 2 or 0.1%
Deaths while riding bicycles: 658, down by 37 or 5.3%
(3) Deaths caused by not wearing a seat belt rose for the first time these 17 years since 1994.
Deaths without a seat belt: 741, up by 25 or 3.5% (4) The number of deaths during the night time rose for the first time in 10 years since 2001.
The increase was most among people aged 65 or older while walking. The number of deaths at night time.2,403, up by 29 or 1.2% Elderly people while walking..808, up by 36 or 4.7%
- 23 -
(5) Although fatal accidents due to drunk driving have decreased for 10 consecutive years, the decrease was slight.
Fatal accidents due to drunk driving: 287, down by 5 or 1.7%
(6) Fatal accidents and deaths on expressways rose for the first time in 7 years since 2004. Among them, deaths from not wearing a seat belt increased significantly.
Fatal accidents on expressways: 166, up by 5 or 3.1%
Deaths on expressways: 188, up by 10 or 5.6%
Deaths on expressways from not wearing a seat belt 61, up by 20 or 48.8%
3. Road Traffic Law Violations
Overall violations: 11,835,929, down by 828,921 or 6.5% Priority violations: 4,334,357, down by 245,458 or 5.4% Penalty point notifications: 2,173,483, down by 112,981 or 4.9% Illegal Parking: 2,020,655, down by 497,351 or 19.8%
Notes:
1. Priority violations cover driving without a license, drunk driving, speeding, and intersection-related violations.
2. Penalty point notifications cover faults concerning seat belts, helmets or child seats.
3. Illegal parking comprises all illegal-parking and failure-to-stop cases of which a driver was given a ticket, a case which was sent to a public prosecutors office or a case where an overdue payment order was issued. (Overdue-payment cases were not counted in the previous year.)
- 24 -
X. Nature of Motorcycle Gangs and Crackdown Results 1. Nature and Trend of Motorcycle Gangs
(1) Trend
Group-runs/number of runs and vehicles stayed Participants slightly increased, reports to the police decreased.
Year Classification
2006 2007 2008 2009 2010 Net change Net percentage
change
Group-runs / number of runs 4,730 4,174 3,568 3,572 3,566 -6 -0.2% Number of participants 54,434 49,379 41,806 35,247 36,961 1,714 4.9% Number of vehicles 34,984 32,573 25,896 23,180 23,223 -43 0.2% Number of reports to the police 65,520 64,057 57,593 55,549 48,284 -4,265 -13.1%
(2) Nature of motorcycle gangs
The numbers of motorcycle gangs and their membership have continuously declined for several years.
Ratio of youth has been increasing. Year
Classification 2006 2007 2008 2009 2010 Net change
Net percentage change
Number of groups 847 767 651 583 507 -76 -13.0 Membership 13,677 12,584 11,516 10,454 9,064 -1,390 -13.3 Proportion of juveniles 47.7% 47.3% 48.2% 51.7% 54.4%
2. Crackdown results
The total number of suspects arrested decreased. Dangerous group activities have been decreasing since 2008 in number of clearances,
suspects arrested, and suspects arrested per case. (Unit: person)
Year Classification
2009 2010 Net change Net percentage change
Total number of suspects arrested 32,170 30,776 -1,394 -4.3%
Road Traffic Law violations 29,534 27,969 -1,565 -5.3%
Dangerous group activities 2,405 2,008 -397 -16.5%
(Clearance) (278) (240) -38 -13.7%
Penal code offenses and others 2,636 2,807 171 6.5%
- 25 -
XI. Statistics
Glossary 26
Figures Index serious and larceny offenses known to police and clearances 27
Table 1 Penal Code offenses known to police, clearances and arrests by crime category compared to the previous year
35
Table 2 Larceny offenses known to police, clearances and arrests by M.O. compared to the previous year
36
Table 3 Penal Code offenses known to police, clearances and arrests by prefecture compared to the previous year
37
Table 4 Index serious and larceny offenses known to police, clearances and arrests compared to the previous year
38
Table 5 Index serious and larceny offenses known to police, clearances and arrests by prefecture compared to the previous year
39
Table 6 Street crimes by prefecture compared to the previous year 54
Table 7 Penal Code arrests by prefecture and arrest category compared to the previous year
64
Table 8 Special Law violation cases and persons transferred to public prosecutors offices compared to the previous year
65
Table 9 Foreign visitors arrested for index serious and larceny offenses by nationality compared to the previous year
66
Table 10 Penal Code and Special Law offenses committed by foreign visitors, clearances and arrests by prefecture compared to the previous year
68
Table 11 Penal Code offenses committed by Boryokudan members, clearances and arrests by crime category compared to the previous year
70
Table 12 Special Law offenses committed by Boryokudan members, clearances and arrests by applied laws compared to the previous year
71
- 26 -
Glossary Terms used in this report are defined as follows: 1. Index serious and larceny offenses
The following criminal offenses are used as statistical indexes to assess the level of the crime situation in Japan because of their seriousness or frequency of occurrences.
Index serious offenses: murder, robbery, arson, rape, abduction, and sexual assault Index larceny offenses: burglary, motor vehicle theft, purse snatching, and pocket
picking 2. Juvenile offender
Any person who has reached 14 years of age and under 20 at the time of crime commission and during judicial proceedings, unless otherwise specified
3. Foreign visitor
Any foreigner staying in Japan; excluding those who have lived in Japan as a long-term/permanent resident, US military personnel under the SOFA status, or whose status of residence is unknown
4. Street
Street means all public roads and ways for travel, where crime is generally directed against a person. The street specifically includes as follows:
Road, parking area for vehicle, urban park, vacant lot Public transportation including stations/port facilities (e.g. subway, train, airplane, ship,
bus) Other transportation (e.g. taxi, automobile) Other street (e.g. thoroughfare of underground shopping area, toll road) Note: This report is based on the data collected as of June, 2011.
- 27 -
[Figures] Index serious and larceny offenses known to police and clearances
Offensesknowntopolice Clearances Arrests Juveniles(amongarrests)
2006 2,050,850 640,657 384,250 112,817
2007 1,908,836 605,358 365,577 103,224
2008 1,818,023 573,392 339,752 90,966
2009 1,703,044 544,699 332,888 90,282
2010 1,585,856 497,356 322,620 85,846
0
500,000
1,000,000
1,500,000
2,000,000
2,500,000
PenalCodeoffenses(January to December)
Offensesknowntopolice Clearances Arrests Juveniles(amongarrests)
2006 10,124 7,125 6,459 1,170
2007 9,051 6,461 5,923 1,042
2008 8,581 6,229 5,634 956
2009 8,314 6,073 5,654 949
2010 7,576 5,503 5,021 783
0
2,000
4,000
6,000
8,000
10,000
12,000
Feloniousoffenses(January to December)
- 28 -
Offensesknowntopolice Clearances Arrests Juveniles(amongarrests)
2006 76,303 49,409 54,505 9,817
2007 72,908 49,656 54,163 9,248
2008 68,948 47,772 51,924 8,645
2009 63,995 45,719 49,225 7,653
2010 63,646 45,932 49,525 7,729
0
10,000
20,000
30,000
40,000
50,000
60,000
70,000
80,000
90,000
Violentoffenses(January to December)
Offensesknowntopolice Clearances Arrests Juveniles(amongarrests)
2006 1,534,528 416,281 187,654 62,637
2007 1,429,956 395,243 180,446 58,150
2008 1,372,840 379,839 174,738 52,557
2009 1,299,294 361,969 175,823 54,784
2010 1,213,442 327,786 175,214 52,435
0
200,000
400,000
600,000
800,000
1,000,000
1,200,000
1,400,000
1,600,000
1,800,000
Larcenyoffenses(January to December)
- 29 -
Offensesknowntopolice Clearances Arrests Juveniles(amongarrests)
2006 84,271 37,296 15,760 1,294
2007 75,999 33,878 15,264 1,142
2008 73,252 36,979 15,145 1,135
2009 53,002 34,147 15,433 1,144
2010 44,347 29,688 14,138 978
0
10,000
20,000
30,000
40,000
50,000
60,000
70,000
80,000
90,000
Intellecturaloffenses(January to December)
Offensesknowntopolice Clearances Arrests Juveniles(amongarrests)
2006 11,932 6,752 6,261 346
2007 11,184 6,462 6,279 341
2008 10,559 6,376 6,048 389
2009 10,182 6,478 5,951 399
2010 10,893 6,742 6,033 437
0
2,000
4,000
6,000
8,000
10,000
12,000
14,000
Moraloffenses(January to December)
- 30 -
Offensesknowntopolice Clearances Arrests Juveniles(amongarrests)
2006 18,649 11,084 8,880 1,428
2007 16,922 10,181 8,315 1,316
2008 15,847 9,925 7,982 1,238
2009 15,158 9,776 7,884 1,234
2010 14,788 9,291 7,317 1,106
0
2,000
4,000
6,000
8,000
10,000
12,000
14,000
16,000
18,000
20,000
Indexseriousoffenses(January to December)
Offensesknowntopolice Clearances Arrests Juveniles(amongarrests)
2006 282,047 127,901 18,098 4,366
2007 241,425 124,158 16,857 3,930
2008 210,103 112,607 15,455 3,357
2009 200,572 102,130 15,159 3,515
2010 181,134 86,596 14,717 3,217
0
50,000
100,000
150,000
200,000
250,000
300,000
Indexlarcenyoffenses(January to December)
- 31 -
Murder Robbery Arson Rape Abduction Indecentassault
2006 1,309 5,108 1,759 1,948 199 8,326
2007 1,199 4,567 1,519 1,766 207 7,664
2008 1,297 4,278 1,424 1,582 155 7,111
2009 1,094 4,512 1,306 1,402 156 6,688
2010 1,067 4,029 1,191 1,289 185 7,027
0
1,000
2,000
3,000
4,000
5,000
6,000
7,000
8,000
9,000
Indexseriousoffensesknowntopolice(January to December)
Murder Robbery Arson Rape Abduction Indecentassault
2006 1,267 3,061 1,337 1,460 180 3,779
2007 1,157 2,790 1,120 1,394 178 3,542
2008 1,237 2,612 1,054 1,326 141 3,555
2009 1,074 2,923 913 1,163 140 3,563
2010 1,029 2,516 895 1,063 151 3,637
0
500
1,000
1,500
2,000
2,500
3,000
3,500
4,000
Indexseriousoffenseclearances(January to December)
- 32 -
Murder Robbery Arson Rape Abduction Indecentassault
2006 1,241 3,335 825 1,058 167 2,254
2007 1,161 2,985 764 1,013 152 2,240
2008 1,211 2,813 659 951 129 2,219
2009 1,036 3,069 631 918 101 2,129
2010 999 2,568 651 803 107 2,189
0
500
1,000
1,500
2,000
2,500
3,000
3,500
4,000
Indexseriousoffensearrests(January to December)
Murder Robbery Arson Rape Abduction Indecentassault
2006 69 892 103 106 16 242
2007 62 757 102 121 12 262
2008 50 713 66 127 7 275
2009 50 696 83 120 4 281
2010 43 565 65 110 5 318
0
100
200
300
400
500
600
700
800
900
1,000
Indexseriousoffensearrests(juveniles)(January to December)
- 33 -
Burglary theftBurglary theft(at
residence)Burglary theft(atnonresidence)
Mortorvehicletheft
Pursesnatching Pickpocketing
2006 205,463 120,023 85,440 36,058 26,828 13,698
2007 175,728 103,490 72,238 31,790 23,687 10,220
2008 155,047 91,082 63,965 27,515 19,145 8,396
2009 148,488 81,436 67,052 25,815 19,036 7,233
2010 136,552 74,558 61,994 23,775 14,559 6,248
0
50,000
100,000
150,000
200,000
250,000
Indexlarcenyoffensesknowntopolice(January to December)
Burglary theftBurglary theft(at
residence)Burglary theft(atnonresidence)
Mortorvehicletheft
Pursesnatching Pickpocketing
2006 100,824 58,717 42,107 13,288 10,090 3,699
2007 96,266 54,491 41,775 13,507 11,321 3,064
2008 87,047 49,600 37,447 12,569 11,229 1,762
2009 81,545 48,157 33,388 9,557 9,051 1,977
2010 70,307 39,880 30,427 8,433 6,323 1,533
0
20,000
40,000
60,000
80,000
100,000
120,000
Indexlarcenyoffenseclearances(January to December)
- 34 -
Burglary theftBurglary theft(at
residence)Burglary theft(atnonresidence)
Mortorvehicletheft
Pursesnatching Pickpocketing
2006 12,434 4,830 7,604 3,056 1,652 956
2007 12,037 4,462 7,575 2,380 1,524 916
2008 11,079 4,182 6,897 2,228 1,251 897
2009 10,852 4,170 6,682 2,045 1,438 824
2010 10,766 4,072 6,694 1,837 1,191 923
0
2,000
4,000
6,000
8,000
10,000
12,000
14,000
Indexlarcenyoffensearrests(January to December)
Burglary theftBurglary theft(at
residence)Burglary theft(atnonresidence)
Mortorvehicletheft
Pursesnatching Pickpocketing
2006 2,582 708 1,874 852 834 98
2007 2,387 647 1,740 655 796 92
2008 2,114 618 1,496 508 640 95
2009 2,209 651 1,558 494 712 100
2010 2,063 616 1,447 451 568 135
0
500
1,000
1,500
2,000
2,500
3,000
Indexlarcenyoffensearrests(juveniles)(January to December)
- 35 -
2010
2009
Cha
nge
2010
2009
Cha
nge
2010
2009
Cha
nge
2010
2009
Cha
nge
2010
2009
Cha
nge
Jan-
Dec
Jan-
Dec
No.
Ja
n-D
ecJa
n-D
ecN
o.
Jan-
Dec
Jan-
Dec
Jan-
Dec
Jan-
Dec
No.
Ja
n-D
ecJa
n-D
ecN
o.
1,58
5,85
61,
703,
044
-117
,188
-6.9
497,
356
544,
699
-47,
343
-8.7
31.4
32.0
-0.6
322,
620
332,
888
-10,
268
-3.1
85,8
4690
,282
-4,4
36-4
.9 F
elon
ious
offe
nses
7,57
68,
314
-738
-8.9
5,50
36,
073
-570
-9.4
72.6
73.0
-0.4
5,02
15,
654
-633
-11.
278
394
9-1
66-1
7.5
Mur
der
1,06
71,
094
-27
-2.5
1,02
91,
074
-45
-4.2
96.4
98.2
-1.8
999
1,03
6-3
7-3
.643
50-7
-14.
0R
obbe
ry4,
029
4,51
2-4
83-1
0.7
2,51
62,
923
-407
-13.
962
.464
.8-2
.42,
568
3,06
9-5
01-1
6.3
565
696
-131
-18.
8A
rson
1,19
11,
306
-115
-8.8
895
913
-18
-2.0
75.1
69.9
5.2
651
631
203.
265
83-1
8-2
1.7
Rap
e1,
289
1,40
2-1
13-8
.11,
063
1,16
3-1
00-8
.682
.583
.0-0
.580
391
8-1
15-1
2.5
110
120
-10
-8.3
63,6
4663
,995
-349
-0.5
45,9
3245
,719
213
0.5
72.2
71.4
0.8
49,5
2549
,225
300
0.6
7,72
97,
653
761.
0U
nlaw
ful as
sem
bly
with
dang
erou
s wea
pons
615
-9-6
0.0
815
-7-4
6.7
133.
310
0.0
33.3
4573
-28
-38.
442
70-2
8-4
0.0
Ass
ault
29,5
9329
,638
-45
-0.2
21,6
6721
,238
429
2.0
73.2
71.7
1.5
22,0
7621
,376
700
3.3
1,27
91,
322
-43
-3.3
Bod
ily inj
ury
26,5
4726
,464
830.
319
,350
19,3
88-3
8-0
.272
.973
.3-0
.422
,030
22,2
53-2
23-1
.04,
895
4,79
510
02.
1Bod
ily inj
ury
resu
ltin
g in
deat
h11
512
8-1
3-1
0.2
110
114
-4-3
.595
.789
.16.
613
513
8-3
-2.2
198
1113
7.5
Inti
mid
atio
n2,
298
2,34
8-5
0-2
.11,
734
1,78
1-4
7-2
.675
.575
.9-0
.41,
613
1,56
251
3.3
141
111
3027
.0E
xtor
tion
5,20
25,
530
-328
-5.9
3,17
33,
297
-124
-3.8
61.0
59.6
1.4
3,76
13,
961
-200
-5.0
1,37
21,
355
171.
31,
213,
442
1,29
9,29
4-8
5,85
2-6
.632
7,78
636
1,96
9-3
4,18
3-9
.427
.027
.9-0
.917
5,21
417
5,82
3-6
09-0
.352
,435
54,7
84-2
,349
-4.3
Bur
glar
y th
eft
136,
552
148,
488
-11,
936
-8.0
70,3
0781
,545
-11,
238
-13.
851
.554
.9-3
.410
,766
10,8
52-8
6-0
.82,
063
2,20
9-1
46-6
.6V
ehic
le t
heft
464,
775
497,
407
-32,
632
-6.6
40,9
9645
,741
-4,7
45-1
0.4
8.8
9.2
-0.4
26,8
4228
,617
-1,7
75-6
.216
,634
17,7
66-1
,132
-6.4
Non
-bur
glar
y th
eft
612,
115
653,
399
-41,
284
-6.3
216,
483
234,
683
-18,
200
-7.8
35.4
35.9
-0.5
137,
606
136,
354
1,25
20.
933
,738
34,8
09-1
,071
-3.1
44,3
4753
,002
-8,6
55-1
6.3
29,6
8834
,147
-4,4
59-1
3.1
66.9
64.4
2.5
14,1
3815
,433
-1,2
95-8
.497
81,
144
-166
-14.
5F
raud
37,5
1645
,162
-7,6
46-1
6.9
24,8
9728
,753
-3,8
56-1
3.4
66.4
63.7
2.7
11,3
0612
,542
-1,2
36-9
.988
01,
038
-158
-15.
2E
mbe
zzle
men
t1,
735
1,96
3-2
28-1
1.6
1,25
91,
324
-65
-4.9
72.6
67.4
5.2
1,09
11,
073
181.
742
384
10.5
Cou
nter
feit
ing
4,98
25,
790
-808
-14.
03,
429
3,99
2-5
63-1
4.1
68.8
68.9
-0.1
1,61
71,
710
-93
-5.4
5668
-12
-17.
6C
urre
ncy
1,82
41,
948
-124
-6.4
572
557
152.
731
.428
.62.
878
80-2
-2.5
1322
-9-4
0.9
Doc
umen
t2,
715
3,37
4-6
59-1
9.5
2,51
93,
085
-566
-18.
392
.891
.41.
41,
419
1,51
7-9
8-6
.538
371
2.7
Cre
dit
card
26
532
6-6
1-1
8.7
192
259
-67
-25.
972
.579
.4-6
.947
58-1
1-1
9.0
-3
-3-1
00.0
Secu
riti
es12
697
2929
.997
4948
98.0
77.0
50.5
26.5
4027
1348
.12
2-
-O
ffici
al c
orru
ptio
n83
5825
43.1
7855
2341
.894
.094
.8-0
.897
8314
16.9
--
--
Bri
bery
68
4622
47.8
6544
2147
.795
.695
.7-0
.181
7110
14.1
--
--
Illeg
al p
roce
eds
from
med
iati
on-
--
--
--
--
--
--
--
--
--
Bre
ach
of t
rust
3129
26.
925
232
8.7
80.6
79.3
1.3
2725
28.
0-
--
-10
,893
10,1
8271
17.
06,
742
6,47
826
44.
161
.963
.6-1
.76,
033
5,95
182
1.4
437
399
389.
5G
ambl
ing
378
340
3811
.236
933
732
9.5
97.6
99.1
-1.5
1,31
21,
376
-64
-4.7
2310
1313
0.0
Sexu
al o
ffens
es10
,515
9,84
267
36.
86,
373
6,14
123
23.
860
.662
.4-1
.84,
721
4,57
514
63.
241
438
925
6.4
In
dece
nt a
ssau
lt7,
027
6,68
833
95.
13,
637
3,56
374
2.1
51.8
53.3
-1.5
2,18
92,
129
602.
831
828
137
13.2
Ind
ecen
t ex
posu
re2,
651
2,35
729
412
.51,
953
1,81
014
37.
973
.776
.8-3
.11,
727
1,62
610
16.
279
92-1
3-1
4.1
245,
952
268,
257
-22,
305
-8.3
81,7
0590
,313
-8,6
08-9
.533
.233
.7-0
.572
,689
80,8
02-8
,113
-10.
023
,484
25,3
53-1
,869
-7.4
Con
vers
ion
of los
t pr
oper
ty55
,837
63,2
13-7
,376
-11.
752
,960
60,4
33-7
,473
-12.
494
.895
.6-0
.852
,598
59,9
19-7
,321
-12.
217
,268
18,9
71-1
,703
-9.0
Obs
truc
ting
the
exe
cution
of
offi
cial
dut
y2,
969
3,07
1-1
02-3
.32,
881
2,95
2-7
1-2
.497
.096
.10.
92,
547
2,69
8-1
51-5
.623
321
815
6.9
Tre
spas
sing
22
,027
23,8
63-1
,836
-7.7
8,02
88,
234
-206
-2.5
36.4
34.5
1.9
5,60
15,
547
541.
02,
734
2,74
5-1
1-0
.4U
nlaw
ful ar
rest
or
conf
inem
ent
354
362
-8-2
.230
732
5-1
8-5
.586
.789
.8-3
.141
353
5-1
22-2
2.8
4262
-20
-32.
3A
bduc
tion
18
515
629
18.6
151
140
117.
981
.689
.7-8
.110
710
16
5.9
54
125
.0D
ealin
g in
sto
len
good
s3,
284
3,60
7-3
23-9
.03,
084
3,39
7-3
13-9
.293
.994
.2-0
.32,
989
3,17
2-1
83-5
.81,
422
1,35
270
5.2
Van
dalis
m15
6,71
716
9,29
2-1
2,57
5-7
.411
,554
12,0
62-5
08-4
.27.
47.
10.
35,
864
6,16
0-2
96-4
.81,
407
1,58
8-1
81-1
1.4
Arr
ests
Tab
le1 :
Pen
al C
ode
off
ense
s kn
ow
n t
o p
oli
ce,
clea
ranc
es a
nd a
rres
ts b
y cr
ime
cate
gory
com
pare
d to
the
pre
vious
year
Kno
wn
topo
lice
Cle
aran
ces
Cle
aran
cera
teJu
veni
le (
amon
g ar
rest
s)
Cri
me
cat
egor
y
Inte
llect
ual o
ffens
es
Inde
cent
offe
nses
Oth
er P
enal
Cod
e of
fens
es
Tot
al P
enal
Cod
e of
fens
es
Vio
lent
offe
nses
Larc
eny
offe
nses
- 36 -
2010
2009
Cha
nge
2010
2009
Cha
nge
2010
2009
Cha
nge
2010
2009
Cha
nge
2010
2009
Cha
nge
Cha
nge
Jan-
Dec
Jan-
Dec
No.
Ja
n-D
ecJa
n-D
ecN
o.
Jan-
Dec
Jan-
Dec
Jan-
Dec
Jan-
Dec
No.
Ja
n-D
ecJa
n-D
ecN
o.
1,21
3,44
21,
299,
294
-85,
852
-6.6
327,
786
361,
969
-34,
183
-9.4
27.0
27.9
-0.9
175,
214
175,
823
-609
-0.3
52,4
3554
,784
-2,3
49-4
.313
6,55
214
8,48
8-1
1,93
6-8
.070
,307
81,5
45-1
1,23
8-1
3.8
51.5
54.9
-3.4
10,7
6610
,852
-86
-0.8
2,06
32,
209
-146
-6.6
Hou
sewhi
lere
side
nts
abse
nt54
,458
59,2
13-4
,755
-8.0
28,3
6434
,466
-6,1
02-1
7.7
52.1
58.2
-6.1
2,92
72,
973
-46
-1.5
416
407
92.
2sl
eepi
ng16
,175
17,4
43-1
,268
-7.3
9,73
211
,617
-1,8
85-1
6.2
60.2
66.6
-6.4
615
642
-27
-4.2
103
116
-13
-11.
2un
awar
e3,
925
4,78
0-8
55-1
7.9
1,78
42,
074
-290
-14.
045
.543
.42.
153
055
5-2
5-4
.597
128
-31
-24.
2
2444
-20
-45.
525
196
31.6
104.
243
.261
.013
121
8.3
--
--
Safe
2,91
73,
252
-335
-10.
31,
572
1,75
1-1
79-1
0.2
53.9
53.8
0.1
320
347
-27
-7.8
3546
-11
-23.
9H
otel
499
519
-20
-3.9
296
240
5623
.359
.346
.213
.110
596
99.
418
126
50.0
Publ
ic o
ffice
548
404
144
35.6
277
179
9854
.750
.544
.36.
285
6817
25.0
1623
-7-3
0.4
Scho
ol1,
817
2,16
7-3
50-1
6.2
1,01
01,
067
-57
-5.3
55.6
49.2
6.4
465
556
-91
-16.
427
636
0-8
4-2
3.3
Hos
pita
l1,
628
1,41
421
415
.167
577
2-9
7-1
2.6
41.5
54.6
-13.
112
012
7-7
-5.5
813
-5-3
8.5
Gas
sta
tion
804
672
132
19.6
353
353
--
43.9
52.5
-8.6
3938
12.
69
10-1
-10.
0B
usin
ess
offic
e14
,796
18,0
32-3
,236
-17.
96,
672
9,68
6-3
,014
-31.
145
.153
.7-8
.696
31,
045
-82
-7.8
138
155
-17
-11.
0St
ore
20,4
6523
,007
-2,5
42-1
1.0
10,8
7111
,331
-460
-4.1
53.1
49.3
3.8
1,49
81,
573
-75
-4.8
411
441
-30
-6.8
Fac
tory
1,24
81,
117
131
11.7
536
529
71.
342
.947
.4-4
.518
619
1-5
-2.6
1219
-7-3
6.8
Lock
er-r
oom
1,58
71,
780
-193
-10.
872
675
5-2
9-3
.845
.742
.43.
334
332
617
5.2
9711
2-1
5-1
3.4
War
ehou
se7,
456
6,52
093
614
.43,
607
3,05
255
518
.248
.446
.81.
61,
325
1,23
986
6.9
228
189
3920
.6O
ther
bur
glar
y th
efts
8,20
58,
124
811.
03,
807
3,65
415
34.
246
.445
.01.
41,
232
1,06
416
815
.819
917
821
11.8
464,
775
497,
407
-32,
632
-6.6
40,9
9645
,741
-4,7
45-1
0.4
8.8
9.2
-0.4
26,8
4228
,617
-1,7
75-6
.216
,634
17,7
66-1
,132
-6.4
Mot
or v
ehic
le t
heft
23,7
7525
,815
-2,0
40-7
.98,
433
9,55
7-1
,124
-11.
835
.537
.0-1
.51,
837
2,04
5-2
08-1
0.2
451
494
-43
-8.7
Mot
orcy
cle
thef
t73
,491
82,1
16-8
,625
-10.
57,
811
9,43
7-1
,626
-17.
210
.611
.5-0
.95,
954
6,19
4-2
40-3
.95,
530
5,84
2-3
12-5
.3B
icyc
le t
heft
367,
509
389,
476
-21,
967
-5.6
24,7
5226
,747
-1,9
95-7
.56.
76.
9-0
.219
,051
20,3
78-1
,327
-6.5
10,6
5311
,430
-777
-6.8
612,
115
653,
399
-41,
284
-6.3
216,
483
234,
683
-18,
200
-7.8
35.4
35.9
-0.5
137,
606
136,
354
1,25
20.
933
,738
34,8
09-1
,071
-3.1
Aut
hori
ty s
cam
the
ft18
417
212
7.0
3325
2-2
19-8
6.9
17.9
146.
5-1
28.6
42
210
0.0
--
--
Wed
ding
/fun
eral
sca
m t
heft
2826
27.
72
3-1
-33.
37.
111
.5-4
.41
1-
--
--
-St
ay-a
way
sca
m t
heft
265
224
4118
.311
052
5811
1.5
41.5
23.2
18.3
2415
960
.010
55
100.
0Sh
oppi
ng s
cam
the
ft1,
061
1,31
4-2
53-1
9.3
359
434
-75
-17.
333
.833
.00.
820
124
8-4
7-1
9.0
7056
1425
.0V
isit
or s
cam
the
ft1,
484
1,70
4-2
20-1
2.9
492
688
-196
-28.
533
.240
.4-7
.227
629
8-2
2-7
.460
72-1
2-1
6.7
AT
M c
ard-
use
thef
t2,
196
2,47
2-2
76-1
1.2
1,81
01,
965
-155
-7.9
82.4
79.5
2.9
295
375
-80
-21.
343
51-8
-15.
7A
TM
the
ft44
84-4
0-4
7.6
2837
-9-2
4.3
63.6
44.0
19.6
1531
-16
-51.
61
2-1
-50.
0C
ashi
er t
heft
2933
-4-1
2.1
613
-7-5
3.8
20.7
39.4
-18.
78
15-7
-46.
7-
1-1
-100
.0C
ash
deliv
ery
thef
t15
418
4-3
0-1
6.3
2938
-9-2
3.7
18.8
20.7
-1.9
713
-6-4
6.2
-3
-3-1
00.0
Rea
ch t
heft
2,98
63,
580
-594
-16.
637
539
8-2
3-5
.812
.611
.11.
527
32-5
-15.
68
71
14.3
Hot
el r
oom
the
ft63
283
7-2
05-2
4.5
223
264
-41
-15.
535
.331
.53.
898
120
-22
-18.
37
21-1
4-6
6.7
Hos
pita
l roo
m t
heft
2,07
42,
329
-255
-10.
995
166
428
743
.245
.928
.517
.451
3615
41.7
52
315
0.0
Purs
e sn
atch
ing
14,5
5919
,036
-4,4
77-2
3.5
6,32
39,
051
-2,7
28-3
0.1
43.4
47.5
-4.1
1,19
11,
438
-247
-17.
256
871
2-1
44-2
0.2
Pick
-poc
keti
ng6,
248
7,23
3-9
85-1
3.6
1,53
31,
977
-444
-22.
524
.527
.3-2
.892
382
499
12.0
135
100
3535
.0B
ag li
ftin
g46
,208
50,2
12-4
,004
-8.0
7,58
07,
596
-16
-0.2
16.4
15.1
1.3
5,12
44,
914
210
4.3
756
666
9013
.5D
ozin
g th
eft
5,37
85,
964
-586
-9.8
408
493
-85
-17.
27.
68.
3-0
.710
211
9-1
7-1
4.3
2623
313
.0V
ehic
le lo
ad t
heft
123,
512
143,
863
-20,
351
-14.
129
,780
38,7
06-8
,926
-23.
124
.126
.9-2
.82,
186
2,29
0-1
04-4
.546
652
2-5
6-1
0.7
Veh
icle
par
ts t
heft
67,3
0775
,361
-8,0
54-1
0.7
11,7
839,
359
2,42
425
.917
.512
.45.
11,
399
1,52
3-1
24-8
.178
191
1-1
30-1
4.3
Dre
ssin
g-si
te t
heft
5,43
46,
342
-908
-14.
376
31,
139
-376
-33.
014
.018
.0-4
.014
717
7-3
0-1
6.9
2327
-4-1
4.8
Ven
ding
mac
hine
the
ft21
,522
26,6
86-5
,164
-19.
49,
633
16,5
35-6
,902
-41.
744
.862
.0-1
7.2
671
746
-75
-10.
141
139
912
3.0
Und
erga
rmen
t th
eft
13,5
1614
,166
-650
-4.6
4,58
85,
312
-724
-13.
633
.937
.5-3
.681
782
4-7
-0.8
6765
23.
1C
onst
ruct
ion-
site
the
ft9,
724
8,30
41,
420
17.1
1,95
62,
023
-67
-3.3
20.1
24.4
-4.3
430
336
9428
.023
36-1
3-3
6.1
Shop
lifti
ng14
8,37
114
9,89
2-1
,521
-1.0
107,
684
108,
802
-1,1
18-1
.072
.672
.60.
010
4,80
410
5,22
8-4
24-0
.428
,348
29,1
19-7
71-2
.6W
orkp
lace
the
ft12
,260
13,1
62-9
02-6
.92,
390
2,65
3-2
63-9
.919
.520
.2-0
.71,
675
1,70
9-3
4-2
.027
828
2-4
-1.4
Hou
sem
ate
thef
t94
41,
170
-226
-19.
328
932
8-3
9-1
1.9
30.6
28.0
2.6
195
221
-26
-11.
825
30-5
-16.
7O
fferi
ng t
heft
4,86
95,
670
-801
-14.
11,
821
1,92
6-1
05-5
.537
.434
.03.
471
183
6-1
25-1
5.0
103
117
-14
-12.
0O
ther
non
-bur
glar
y th
efts
121,
126
113,
379
7,74
76.
825
,534
23,9
751,
559
6.5
21.1
21.1
0.0
16,2
2413
,983
2,24
116
.01,
524
1,58
0-5
6-3
.5
Non
-bur
glar
y th
eft
Veh
icle
the
ft
M.O
.K
nown
topo
lice
Juve
nile
(a
mon
g ab
ove)
Tab
le2
: L
arce
ny o
ffen
ses
know
n to
poli
ce,
clea
ranc
es a
nd
arre
sts
by
M.O
. co
mpar
ed t
o t
he
pre
viou
s ye
ar
Tot
al la
rcen
y of
fens
esB
urgl
ary
thef
t
Cle
aran
ces
Cle
aran
cera
teA
rres
ts
- 37 -
Prefectures2010 2009 Change 2010 2009 Change 2010 2009 Change 2010 2009 Change
Jan-Dec Jan-Dec No. Jan-Dec Jan-Dec No. Jan-Dec Jan-Dec No. Jan-Dec Jan-Dec
Total 1,585,856 1,703,044 -117,188 -6.9 497,356 544,699 -47,343 -8.7 322,620 332,888 -10,268 -3.1 31.4 32.0 -0.6
Hokkaido 51,226 52,139 -913 -1.8 16,083 17,394 -1,311 -7.5 10,563 11,479 -916 -8.0 31.4 33.4 -2.0
Sapporo 37,147 37,417 -270 -0.7 11,199 11,793 -594 -5.0 7,347 7,827 -480 -6.1 30.1 31.5 -1.4
Hakodate 3,794 3,845 -51 -1.3 1,025 1,518 -493 -32.5 777 898 -121 -13.5 27.0 39.5 -12.5
Asahikawa 4,195 4,581 -386 -8.4 1,580 1,731 -151 -8.7 1,051 1,266 -215 -17.0 37.7 37.8 -0.1
Kushiro 4,498 4,688 -190 -4.1 1,597 1,697 -100 -5.9 1,036 1,048 -12 -1.1 35.5 36.2 -0.7
Kitami 1,592 1,608 -16 -1.0 682 655 27 4.1 352 440 -88 -20.0 42.8 40.7 2.1
Tohoku 73,970 77,356 -3,386 -4.4 28,280 28,390 -110 -0.4 18,346 18,608 -262 -1.4 38.2 36.7 1.5
Aomori 9,943 9,987 -44 -0.4 3,892 4,030 -138 -3.4 2,998 2,975 23 0.8 39.1 40.4 -1.3
Iwate 7,400 8,240 -840 -10.2 3,990 3,626 364 10.0 1,997 2,311 -314 -13.6 53.9 44.0 9.9
Miyagi 24,614 25,859 -1,245 -4.8 7,518 7,894 -376 -4.8 4,549 4,750 -201 -4.2 30.5 30.5 0.0
Akita 5,407 5,740 -333 -5.8 2,994 2,974 20 0.7 1,964 1,920 44 2.3 55.4 51.8 3.6
Yamagata 7,179 8,003 -824 -10.3 3,636 3,795 -159 -4.2 2,645 2,605 40 1.5 50.6 47.4 3.2
Fukushima 19,427 19,527 -100 -0.5 6,250 6,071 179 2.9 4,193 4,047 146 3.6 32.2 31.1 1.1
Tokyo 195,970 205,708 -9,738 -4.7 58,227 64,239 -6,012 -9.4 44,548 46,716 -2,168 -4.6 29.7 31.2 -1.5
Kanto 465,837 492,395 -26,558 -5.4 152,497 168,484 -15,987 -9.5 95,359 94,637 722 0.8 32.7 34.2 -1.5
Ibaraki 41,312 42,491 -1,179 -2.8 12,422 14,265 -1,843 -12.9 6,643 6,734 -91 -1.4 30.1 33.6 -3.5
Tochigi 23,500 25,990 -2,490 -9.6 8,239 9,687 -1,448 -14.9 5,410 5,679 -269 -4.7 35.1 37.3 -2.2
Gunma 22,211 24,110 -1,899 -7.9 11,078 11,370 -292 -2.6 5,717 4,472 1,245 27.8 49.9 47.2 2.7
Saitama 106,228 113,632 -7,404 -6.5 30,048 30,846 -798 -2.6 19,296 19,345 -49 -0.3 28.3 27.1 1.2
Chiba 92,325 96,400 -4,075 -4.2 24,918 27,627 -2,709 -9.8 14,988 15,278 -290 -1.9 27.0 28.7 -1.7
Kanagawa 93,369 98,216 -4,847 -4.9 35,964 40,380 -4,416 -10.9 23,304 22,558 746 3.3 38.5 41.1 -2.6
Niigata 21,227 22,189 -962 -4.3 7,783 8,406 -623 -7.4 5,337 5,544 -207 -3.7 36.7 37.9 -1.2
Yamanashi 7,919 8,134 -215 -2.6 3,046 3,154 -108 -3.4 1,721 1,924 -203 -10.6 38.5 38.8 -0.3
Nagano 18,295 20,164 -1,869 -9.3 6,589 8,296 -1,707 -20.6 4,537 4,959 -422 -8.5 36.0 41.1 -5.1
Shizuoka 39,451 41,069 -1,618 -3.9 12,410 14,453 -2,043 -14.1 8,406 8,144 262 3.2 31.5 35.2 -3.7
Chubu 198,645 223,196 -24,551 -11.0 58,673 65,867 -7,194 -10.9 30,459 31,773 -1,314 -4.1 29.5 29.5 0.0
Toyama 7,679 8,740 -1,061 -12.1 2,428 2,777 -349 -12.6 1,762 2,039 -277 -13.6 31.6 31.8 -0.2
Ishikawa 8,293 8,812 -519 -5.9 2,905 3,066 -161 -5.3 2,051 2,163 -112 -5.2 35.0 34.8 0.2
Fukui 6,058 6,369 -311 -4.9 2,788 3,286 -498 -15.2 1,450 1,606 -156 -9.7 46.0 51.6 -5.6
Gifu 25,017 27,928 -2,911 -10.4 7,903 10,843 -2,940 -27.1 3,776 4,200 -424 -10.1 31.6 38.8 -7.2
Aichi 128,173 145,807 -17,634 -12.1 36,169 39,271 -3,102 -7.9 18,100 18,186 -86 -0.5 28.2 26.9 1.3
Mie 23,425 25,540 -2,115 -8.3 6,480 6,624 -144 -2.2 3,320 3,579 -259 -7.2 27.7 25.9 1.8
Kinki 329,284 362,443 -33,159 -9.1 80,505 89,300 -8,795 -9.8 56,369 61,830 -5,461 -8.8 24.4 24.6 -0.2
Shiga 15,501 15,258 243 1.6 4,326 4,873 -547 -11.2 2,705 2,971 -266 -9.0 27.9 31.9 -4.0
Kyoto 42,258 44,538 -2,280 -5.1 10,944 11,743 -799 -6.8 8,147 8,489 -342 -4.0 25.9 26.4 -0.5
Osaka 164,096 182,537 -18,441 -10.1 29,841 35,386 -5,545 -15.7 22,715 25,556 -2,841 -11.1 18.2 19.4 -1.2
Hyogo 80,860 90,670 -9,810 -10.8 23,624 25,948 -2,324 -9.0 16,913 18,793 -1,880 -10.0 29.2 28.6 0.6
Nara 14,444 15,478 -1,034 -6.7 7,602 6,649 953 14.3 3,168 3,241 -73 -2.3 52.6 43.0 9.6
Wakayama 12,125 13,962 -1,837 -13.2 4,168 4,701 -533 -11.3 2,721 2,780 -59 -2.1 34.4 33.7 0.7
Chugoku 75,097 78,742 -3,645 -4.6 28,015 28,539 -524 -1.8 18,515 19,226 -711 -3.7 37.3 36.2 1.1
Tottori 5,189 5,845 -656 -11.2 2,682 2,518 164 6.5 1,336 1,411 -75 -5.3 51.7 43.1 8.6
Shimane 5,116 5,157 -41 -0.8 2,751 2,691 60 2.2 1,180 1,300 -120 -9.2 53.8 52.2 1.6
Okayama 24,097 25,862 -1,765 -6.8 7,372 7,176 196 2.7 4,619 5,191 -572 -11.0 30.6 27.7 2.9
Hiroshima 28,335 28,853 -518 -1.8 9,920 10,353 -433 -4.2 7,571 7,680 -109 -1.4 35.0 35.9 -0.9
Yamaguchi 12,360 13,025 -665 -5.1 5,290 5,801 -511 -8.8 3,809 3,644 165 4.5 42.8 44.5 -1.7
Shikoku 42,901 44,851 -1,950 -4.3 16,713 18,041 -1,328 -7.4 10,318 10,596 -278 -2.6 39.0 40.2 -1.2
Tokushima 7,108 7,389 -281 -3.8 3,145 3,403 -258 -7.6 1,827 1,865 -38 -2.0 44.2 46.1 -1.9
Kagawa 10,432 10,884 -452 -4.2 4,616 4,755 -139 -2.9 2,810 3,052 -242 -7.9 44.2 43.7 0.5
Ehime 16,672 16,827 -155 -0.9 5,944 6,780 -836 -12.3 3,601 3,645 -44 -1.2 35.7 40.3 -4.6
Kouchi 8,689 9,751 -1,062 -10.9 3,008 3,103 -95 -3.1 2,080 2,034 46 2.3 34.6 31.8 2.8
Kyushu 152,926 166,214 -13,288 -8.0 58,363 64,445 -6,082 -9.4 38,143 38,023 120 0.3 38.2 38.8 -0.6
Fukuoka 78,809 86,057 -7,248 -8.4 27,595 30,003 -2,408 -8.0 16,286 15,938 348 2.2 35.0 34.9 0.1
Saga 8,138 8,271 -133 -1.6 3,464 3,661 -197 -5.4 2,211 2,046 165 8.1 42.6 44.3 -1.7
Nagasaki 8,950 9,199 -249 -2.7 4,343 4,768 -425 -8.9 3,159 3,261 -102 -3.1 48.5 51.8 -3.3
Kumamoto 15,309 17,015 -1,706 -10.0 6,597 7,740 -1,143 -14.8 4,607 4,881 -274 -5.6 43.1 45.5 -2.4
Oita 8,691 9,495 -804 -8.5 3,357 3,795 -438 -11.5 2,162 2,133 29 1.4 38.6 40.0 -1.4
Miyazaki 8,750 9,602 -852 -8.9 3,476 3,932 -456 -11.6 2,464 2,426 38 1.6 39.7 40.9 -1.2
Kagoshima 11,392 12,837 -1,445 -11.3 4,514 4,983 -469 -9.4 3,097 3,322 -225 -6.8 39.6 38.8 0.8
Okinawa 12,887 13,738 -851 -6.2 5,017 5,563 -546 -9.8 4,157 4,016 141 3.5 38.9 40.5 -1.6
Table3 : Penal code offenses known to police, clearances and arrests by prefecture compared to previous year
Total number of Penal Code offensesKnown to police Clearances Arrests Clearance rate
- 38 -
previous year
2010 2009 2010 2009 2010 2009 ChangeJan-Dec Jan-Dec No. Jan-Dec Jan-Dec No. Jan-Dec Jan-Dec
14,788 15,158 -370 -2.4 9,291 9,776 -485 -5.0 62.8 64.5 -1.71,067 1,094 -27 -2.5 1,029 1,074 -45 -4.2 96.4 98.2 -1.84,029 4,512 -483 -10.7 2,516 2,923 -407 -13.9 62.4 64.8 -2.41,191 1,306 -115 -8.8 895 913 -18 -2.0 75.1 69.9 5.21,289 1,402 -113 -8.1 1,063 1,163 -100 -8.6 82.5 83.0 -0.5
185 156 29 18.6 151 140 11 7.9 81.6 89.7 -8.17,027 6,688 339 5.1 3,637 3,563 74 2.1 51.8 53.3 -1.5
181,134 200,572 -19,438 -9.7 86,596 102,130 -15,534 -15.2 47.8 50.9 -3.1136,552 148,488 -11,936 -8.0 70,307 81,545 -11,238 -13.8 51.5 54.9 -3.4
Residence 74,558 81,436 -6,878 -8.4 39,880 48,157 -8,277 -17.2 53.5 59.1 -5.6Non-residence 61,994 67,052 -5,058 -7.5 30,427 33,388 -2,961 -8.9 49.1 49.8 -0.7
23,775 25,815 -2,040 -7.9 8,433 9,557 -1,124 -11.8 35.5 37.0 -1.514,559 19,036 -4,477 -23.5 6,323 9,051 -2,728 -30.1 43.4 47.5 -4.16,248 7,233 -985 -13.6 1,533 1,977 -444 -22.5 24.5 27.3 -2.8
2010 2009 2010 2009 2010 2009Jan-Dec Jan-Dec No. Jan-Dec Jan-Dec No. Jan-Dec Jan-Dec No.
7,317 7,884 -567 -7.2 6,211 6,650 -439 -6.6 1,106 1,234 -128 -10.4999 1,036 -37 -3.6 956 986 -30 -3.0 43 50 -7 -14.0
2,568 3,069 -501 -16.3 2,003 2,373 -370 -15.6 565 696 -131 -18.8651 631 20 3.2 586 548 38 6.9 65 83 -18 -21.7803 918 -115 -12.5 693 798 -105 -13.2 110 120 -10 -8.3107 101 6 5.9 102 97 5 5.2 5 4 1 25.0
2,189 2,129 60 2.8 1,871 1,848 23 1.2 318 281 37 13.214,717 15,159 -442 -2.9 11,500 11,644 -144 -1.2 3,217 3,515 -298 -8.510,766 10,852 -86 -0.8 8,703 8,643 60 0.7 2,063 2,209 -146 -6.6
Residence 4,072 4,170 -98 -2.4 3,456 3,519 -63 -1.8 616 651 -35 -5.4Non-residence 6,694 6,682 12 0.2 5,247 5,124 123 2.4 1,447 1,558 -111 -7.1
1,837 2,045 -208 -10.2 1,386 1,551 -165 -10.6 451 494 -43 -8.71,191 1,438 -247 -17.2 623 726 -103 -14.2 568 712 -144 -20.2
923 824 99 12.0 788 724 64 8.8 135 100 35 35.0
Index serious offenses
Rape
Pick-pocketing
AbductionIndecent assault
Index larceny offensesBurglary
Motor vehicle theftPurse snatching
Table 4 : Index serious and larceny offenses known to police, clearances and arrests compared to the
MurderRobberyArson
Change
Index serious offenses
Offense category
ArsonRape
Offense category
AbductionIndecent assault
Index larceny offenses
Adult
Pick-pocketingPurse snatching
Motor vehicle theft
Change
Arrests
Known to police Clearances
Burglary
MurderRobbery
JuvenileTotal
Clearance rateChange Change
Change
- 39 -
2010 2009 Change 2010 2009 Change 2010 2009 Change 2010 2009 ChangeJan-Dec Jan-Dec No. Jan-Dec Jan-Dec No. Jan-Dec Jan-Dec No. Jan-Dec Jan-Dec
14,788 15,158 -370 -2.4 9,291 9,776 -485 -5.0 7,317 7,884 -567 -7.2 62.8 64.5 -1.7
Total 523 509 14 2.8 338 342 -4 -1.2 246 270 -24 -8.9 64.6 67.2 -2.6
Sapporo 366 377 -11 -2.9 235 227 8 3.5 165 172 -7 -4.1 64.2 60.2 4.0
Hakodate 40 31 9 29.0 23 25 -2 -8.0 16 15 1 6.7 57.5 80.6 -23.1
Asahikawa 41 45 -4 -8.9 32 39 -7 -17.9 26 37 -11 -29.7 78.0 86.7 -8.7
Kushiro 52 39 13 33.3 34 34 - - 27 30 -3 -10.0 65.4 87.2 -21.8
Kitami 24 17 7 41.2 14 17 -3 -17.6 12 16 -4 -25.0 58.3 100.0 -41.7
Total 774 728 46 6.3 545 504 41 8.1 407 375 32 8.5 70.4 69.2 1.2
Aomori 108 95 13 13.7 74 57 17 29.8 64 48 16 33.3 68.5 60.0 8.5
Iwate 91 77 14 18.2 67 55 12 21.8 47 40 7 17.5 73.6 71.4 2.2
Miyagi 284 292 -8 -2.7 171 200 -29 -14.5 128 129 -1 -0.8 60.2 68.5 -8.3
Akita 46 49 -3 -6.1 42 39 3 7.7 34 39 -5 -12.8 91.3 79.6 11.7
Yamagata 46 50 -4 -8.0 44 35 9 25.7 41 29 12 41.4 95.7 70.0 25.7
Fukushima 199 165 34 20.6 147 118 29 24.6 93 90 3 3.3 73.9 71.5 2.4
1,846 2,083 -237 -11.4 1,170 1,352 -182 -13.5 1,103 1,196 -93 -7.8 63.4 64.9 -1.5
Total 4,135 4,298 -163 -3.8 2,736 2,847 -111 -3.9 2,060 2,226 -166 -7.5 66.2 66.2 0.0
Ibaraki 325 338 -13 -3.8 173 179 -6 -3.4 147 156 -9 -5.8 53.2 53.0 0.2
Tochigi 228 230 -2 -0.9 143 163 -20 -12.3 104 129 -25 -19.4 62.7 70.9 -8.2
Gunma 187 186 1 0.5 159 154 5 3.2 136 154 -18 -11.7 85.0 82.8 2.2
Saitama 989 968 21 2.2 697 651 46 7.1 484 522 -38 -7.3 70.5 67.3 3.2
Chiba 803 838 -35 -4.2 491 518 -27 -5.2 370 358 12 3.4 61.1 61.8 -0.7
Kanagawa 863 867 -4 -0.5 554 622 -68 -10.9 439 471 -32 -6.8 64.2 71.7 -7.5
Niigata 141 167 -26 -15.6 117 134 -17 -12.7 88 99 -11 -11.1 83.0 80.2 2.8
Yamanashi 58 84 -26 -31.0 50 53 -3 -5.7 35 30 5 16.7 86.2 63.1 23.1
Nagano 164 176 -12 -6.8 103 105 -2 -1.9 69 86 -17 -19.8 62.8 59.7 3.1
Shizuoka 377 444 -67 -15.1 249 268 -19 -7.1 188 221 -33 -14.9 66.0 60.4 5.6
Total 1,399 1,603 -204 -12.7 794 946 -152 -16.1 643 735 -92 -12.5 56.8 59.0 -2.2
Toyama 49 46 3 6.5 33 29 4 13.8 29 28 1 3.6 67.3 63.0 4.3
Ishikawa 48 54 -6 -11.1 40 50 -10 -20.0 30 36 -6 -16.7 83.3 92.6 -9.3
Fukui 61 34 27 79.4 43 36 7 19.4 30 29 1 3.4 70.5 105.9 -35.4
Gifu 170 210 -40 -19.0 103 147 -44 -29.9 76 101 -25 -24.8 60.6 70.0 -9.4
Aichi 949 1,089 -140 -12.9 489 594 -105 -17.7 409 467 -58 -12.4 51.5 54.5 -3.0
Mie 122 170 -48 -28.2 86 90 -4 -4.4 69 74 -5 -6.8 70.5 52.9 17.6
Total 3,485 3,304 181 5.5 1,835 1,915 -80 -4.2 1,416 1,639 -223 -13.6 52.7 58.0 -5.3
Shiga 140 137 3 2.2 75 90 -15 -16.7 59 77 -18 -23.4 53.6 65.7 -12.1
Kyoto 374 353 21 5.9 256 232 24 10.3 200 193 7 3.6 68.4 65.7 2.7
Osaka 2,083 1,805 278 15.4 910 967 -57 -5.9 704 829 -125 -15.1 43.7 53.6 -9.9
Hyogo 673 800 -127 -15.9 419 467 -48 -10.3 333 411 -78 -19.0 62.3 58.4 3.9
Nara 94 97 -3 -3.1 68 68 - - 60 61 -1 -1.6 72.3 70.1 2.2
Wakayama 121 112 9 8.0 107 91 16 17.6 60 68 -8 -11.8 88.4 81.3 7.1
Total 668 734 -66 -9.0 509 495 14 2.8 420 404 16 4.0 76.2 67.4 8.8
Tottori 47 40 7 17.5 36 22 14 63.6 29 22 7 31.8 76.6 55.0 21.6
Shimane 62 43 19 44.2 50 31 19 61.3 33 22 11 50.0 80.6 72.1 8.5
Okayama 134 188 -54 -28.7 121 120 1 0.8 96 97 -1 -1.0 90.3 63.8 26.5
Hiroshima 326 353 -27 -7.6 214 222 -8 -3.6 183 172 11 6.4 65.6 62.9 2.7
Yamaguchi 99 110 -11 -10.0 88 100 -12 -12.0 79 91 -12 -13.2 88.9 90.9 -2.0
Total 379 355 24 6.8 332 300 32 10.7 228 209 19 9.1 87.6 84.5 3.1
Tokushima 57 47 10 21.3 43 38 5 13.2 32 32 - - 75.4 80.9 -5.5
Kagawa 113 65 48 73.8 104 64 40 62.5 66 67 -1 -1.5 92.0 98.5 -6.5
Ehime 153 173 -20 -11.6 138 147 -9 -6.1 86 66 20 30.3 90.2 85.0 5.2
Kouchi 56 70 -14 -20.0 47 51 -4 -7.8 44 44 - - 83.9 72.9 11.0
Total 1,579 1,544 35 2.3 1,032 1,075 -43 -4.0 794 830 -36 -4.3 65.4 69.6 -4.2
Fukuoka 876 756 120 15.9 475 458 17 3.7 326 327 -1 -0.3 54.2 60.6 -6.4
Saga 84 77 7 9.1 56 74 -18 -24.3 50 57 -7 -12.3 66.7 96.1 -29.4
Nagasaki 136 134 2 1.5 99 96 3 3.1 59 70 -11 -15.7 72.8 71.6 1.2
Kumamoto 118 152 -34 -22.4 95 128 -33 -25.8 96 107 -11 -10.3 80.5 84.2 -3.7
Oita 58 60 -2 -3.3 45 51 -6 -11.8 37 45 -8 -17.8 77.6 85.0 -7.4
Miyazaki 100 100 - - 82 62 20 32.3 62 51 11 21.6 82.0 62.0 20.0
Kagoshima 87 119 -32 -26.9 89 98 -9 -9.2 69 89 -20 -22.5 102.3 82.4 19.9
Okinawa 120 146 -26 -17.8 91 108 -17 -15.7 95 84 11 13.1 75.8 74.0 1.8
Known to police Clearances
Table5 : Index serious and larceny offenses known to police, cleara