NYSCrimeReport2015 Prelim

8/16/2019 NYSCrimeReport2015 Prelim

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Office of Justice Research & Performance 1 New York State Division of Criminal Justice Services

May 2016

Crime in New York State

2015 Preliminary Data

As of 2015, rape statistics reported in New YorkState conform to the FBI’s expanded definition of

the crime. The FBI implemented this change tomore accurately reflect the scope and volume ofsexual assaults nationwide.

While this report compares Index and violent crimeover the 10-year period from 2006 through 2015and 2015 versus 2014, caution should be usedwhen citing or interpreting any percentage chang-es. Index and violent crime totals include the num-ber of rapes reported under the expanded defini-tion of the offense. As a result, increases in thosecrime categories may be attributable in part to theexpanded definition.

In addition, this report does not include percentagechange comparisons between rape statisticsreported in 2006 and 2015 or 2014 and 2015.

Appendices 6, 7 and 8 detail additional informationabout this reporting change and its impact on NewYork State crime trends.

Index crimes reported by each police departmentand sheriff’s office in the state from 2011 through2015 are available on the DCJS website:www.criminaljustice.ny.gov/crimnet/ojsa/stats.htm

Crime reached an all-

time low in 2015. A total of 388,731Index crimes were reported, the fewest since statewidereporting began in 1975.

That milestone — surpassing one set in 2014 — resultedin the state’s Index crime rate declining by 21 percentwhen comparing 2006 vs. 2015.

During the same 10-year period, the violent crime ratedropped 13 percent and the property crime rate, 22percent. Appendix 1 provides additional details.

Change in Crime Rates: 2006 vs. 2015

New York State Crime Report

Andrew M. Cuomo Governor

Michael C. Green Executive Deputy Commissioner

May 2016

New York State and the FBI use seven Index crime categories as indicators of overall crime trends: murder,

rape, robbery, and aggravated assault, which are classified as violent crimes; and the property crimes ofburglary, larceny and motor vehicle theft.

This report details Index crime in New York State, its 62 counties and two regions - New York City and the 57counties outside of the five boroughs - for 2015. Police departments and sheriffs’ offices report Index crime tothe Division of Criminal Justice Services (DCJS) through the Uniform Crime Reporting and Incident BasedReporting programs.

Index crime rates per 100,000 population statewide and by county and region also are included. DCJS usescounty population data from the FBI, which is based on U.S. Census estimates, to calculate those crime rates.

-21%

-13%

-36%

NA

-32%

-5%

-22%

-38%

-15%

-54%

-70%

-60%

-50%

-40%

-30%

-20%

-10%

0%

Percentage Change in Crime Rates2006 vs. 2015

http://criminaljustice.ny.gov/crimnet/ojsa/crimereporting/rape_memo.pdfhttp://criminaljustice.ny.gov/crimnet/ojsa/crimereporting/rape_memo.pdfhttp://www.criminaljustice.ny.gov/crimnet/ojsa/stats.htmhttp://www.criminaljustice.ny.gov/crimnet/ojsa/stats.htmhttp://www.criminaljustice.ny.gov/crimnet/ojsa/stats.htmhttp://criminaljustice.ny.gov/crimnet/ojsa/crimereporting/rape_memo.pdf


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New York State’s reduction in crime rate isdue to a significant decline in reported crimecoupled with an increase in the state’s pop-

ulation. In 2015, there were 89,136 fewercrimes reported than in 2006.

Meanwhile, the state’s population increasedby nearly half a million residents during the10-year period from 2006 to 2015.

The volume of reported crime statewidealso decreased by 18.7 percent whencomparing 2006 and 2015. Index crimetotals have declined annually since 2012.

Change in Crime Volume: 2006 vs. 2015

Trends in Regional Crime: 2006 to 2015

Index crimes in the state’s two regions —New York City (five counties, also calledboroughs) and non-New York City (thestate’s remaining 57 counties) — declinedwhen comparing 2006 to 2015.

This 10-year period saw a shift in crimetrends, with the number of Index crimesreported outside of New York City decliningmore sharply than those reported in the fiveboroughs.

Between 2006 and 2015, reported Indexcrime declined 12.4 percent in New York Cityand 23.3 percent in the 57 counties Upstateand on Long Island. At the same time, thedecrease in violent crime in those 57counties was nearly six times greater than inNew York City: 22.1 percent vs. 3.8 percent.

In addition, violent crime outside of New YorkCity declined annually from 2006 through2011, and again from 2012 through 2014. InNew York City since 2006, violent crimepeaked in 2012 and then declined for two

consecutive years.The uptick in violent crime from 2014 to 2015in both regions was due to the expandedrape definition. The change resulted in 3,516additional crimes being classified as theIndex crime of rape. In years’ past, the FBIclassified those crimes as Part II sexoffenses.

Appendix 6 details those changes.

477,867

388,731

300,000

350,000

400,000

450,000

500,000

550,000

600,000

2006 2007 2008 2009 2010 2011 2012 2013 2014 2015

New York State Index Crime Counts

-18.7%

205,522179,948

272,345

208,783

100,000

150,000

200,000

250,000

300,000

350,000

2006 2007 2008 2009 2010 2011 2012 2013 2014 2015

Regional Trends in Index Crime

New York City Non-New York City

-12.4%

-23.3%

52,086

50,088

31,730

24,723

0

20,000

40,000

60,000

80,000

2006 2007 2008 2009 2010 2011 2012 2013 2014 2015

Regional Trends in Violent Crime


-3.8%

-22.1%


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Statewide Crime Trends: 2014 vs. 2015

In 2015, the total number of Index crimesreported in New York State decreased 5.2percent when compared to the year before.

Six of the seven Index crimes declined, with thelargest reductions reported in burglary (-13.7%)and larceny (-6%).

The 3.4 percent increase in violent crime wascaused, in part, by the expanded definition ofthe rape crime category.

All other violent crimes — murder, robbery andaggravated assault — decreased in 2015 whencompared to 2014.

The total number of Index crimes in New YorkCity decreased by 2.8 percent when comparing2014 and 2015.

The reduction in the five boroughs is attributableto fewer property crimes being reported: burglary(-11.4%), larceny (-3.3%) and motor vehicletheft (-4.4%) all declined. In the violent crimecategory in New York City, reported murdersand robberies increased by 5.7 percent and2.2 percent, respectively. Aggravated assaultsdecreased by 2.9 percent.

Meanwhile, reported crime in the 57 countiesUpstate and on Long Island decreased 7.1percent in 2015 when compared to the yearbefore. Decreases were reported in six Indexcrime categories:

In the violent crime category, murder (-8.8%)and robbery (-7.5%) decreased significantlywhile aggravated assaults were flat. Each of thethree property crime categories — burglary,larceny and motor vehicle theft — also declined.

As noted earlier, percentage differences werenot calculated for rape in either region becauseof the expanded definition of the crime.

Appendix 3 lists crime rates by county for 2015. Appendix 7 contains two parts: 7A details crimecounts by county for 2014 vs. 2015 using theexpanded rape definition while 7B uses thehistorical definition of the crime to show thecounty-by-county comparison for those years.

-5.2%

3.4%

-1.0%

NA

-0.8%-1.9%

-7.0%

-13.7%

-6.0%-3.3%

-20%

-15%

-10%

-5%

0%

5%

10%

Percentage Change in Crime Volume

2014 vs. 2015

New York State

-2.8%

1.3%

5.7%

NA2.2%

-2.9%-4.3%

-11.4%

-3.3%

-4.4%

-15%

-10%

-5%

0%

5%

10%

New York City

-7.1%

8.0%

-8.8%

NA

-7.5%

0.2%

-8.8%

-14.8%

-7.8%

-2.3%

-20%

-15%

-10%

-5%

0%

5%

10%

Non-New York City

Regional Crime Trends: 2014 vs. 2015


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Trends in Violent Crimes by Firearm

Police departments and sheriffs’ offices in New York State report to DCJS the number of violent crimes thatinvolved the use of a firearm. In New York City, violent crimes involving firearms decreased by 6 percent,with 428 fewer violent crimes reported in 2015 as compared to 2014.

During the same time frame, violent crimes involving a firearm in the 57 counties outside of New York Citydecreased by 5 percent, with 221 fewer crimes reported (Appendix 4).

Regional Trends in Homicide

Mirroring the trend in overall Index crime, the number of homicides reported statewide in 2015 reached the

lowest point since crime reporting began in 1975. This decline is driven primarily by a decrease in the numberof homicides reported in New York City (Appendix 5).

When comparing 2006 to 2015, homicides statewide decreased by 34 percent (927 vs. 610). Since 2010, thenumber of homicides has declined in every subsequent year. Homicides by firearm showed a similar trend,declining 5.4 percent over the past 10 years and 26.6 percent between 2010 and 2015.

7,005

4,608

6,577

4,387

0

1,000

2,000

3,000

4,000

5,000

6,000

7,000

8,000


Violent Crime by Firearm

2014 2015

2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2014-152006-15

Total Homicide 927 807 836 784 866 770 688 644 616 610 -1.0% -34.2%

Non-Firearm Related 522 304 363 301 344 322 277 278 268 227 -15.3% -56.5%

Firearm Related 405 503 473 483 522 448 411 366 348 383 10.1% -5.4%

Source: DCJS, Uniform Crime/Incident-Based Reporting sytem. Includes all reports received as of 4/11/2016.

New York State Homicides 2006 - 2015

% Change


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Counts 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2014-15 2006-15

Index Crime 477,867 460,993 464,690 449,970 450,433 448,900 452,336 432,640 409,905 388,731 -5.2% -18.7% Violent Crime 83,816 79,817 77,441 74,830 75,836 77,461 79,304 76,472 72,344 74,811 3.4% -10.7% Murder 927 807 836 784 866 770 688 644 616 610 -1.0% -34.2% Rape 3,165 2,924 2,787 2,565 2,766 2,771 2,830 2,614 2,537 6,078 N/A N/A Robbery 34,381 31,036 31,743 28,063 28,405 28,350 28,555 27,174 23,989 23,801 -0.8% -30.8%

Agg. Assault 45,343 45,050 42,075 43,418 43,799 45,570 47,231 46,040 45,202 44,322 -1.9% -2.3% Property Crime 394,051 381,176 387,249 375,140 374,597 371,439 373,032 356,168 337,561 313,920 -7.0% -20.3% Burglary 68,487 64,834 65,514 62,677 64,695 65,086 64,077 56,172 50,633 43,672 -13.7% -36.2% Larceny 293,476 288,369 296,640 290,680 289,494 287,699 291,752 284,492 271,207 255,045 -6.0% -13.1% MV Theft 32,088 27,973 25,095 21,783 20,408 18,654 17,202 15,503 15,721 15,203 -3.3% -52.6%

Rates per 100,000 Pop. 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2014-15 2006-15

Inde x Crime 2,475.7 2,389.4 2,384.7 2,303.1 2,324.9 2,306.7 2,311.9 2,202.1 2,076.3 1,964.1 -5.4% -20.7% Violent Crime 434.2 413.7 397.4 383.0 391.4 398.0 405.3 389.2 366.5 378.0 3.2% -13.0% Murder 4.8 4.2 4.3 4.0 4.5 4.0 3.5 3.3 3.1 3.1 -1.2% -35.8% Rape 16.4 15.2 14.3 13.1 14.3 14.2 14.5 13.3 12.9 30.7 N/A N/A Robbery 178.1 160.9 162.9 143.6 146.6 145.7 145.9 138.3 121.5 120.3 -1.0% -32.5% Agg. Assault 234.9 233.5 215.9 222.2 226.1 234.2 241.4 234.3 229.0 223.9 -2.2% -4.7% Property Crime 2,041.5 1,975.7 1,987.3 1,920.1 1,933.5 1,908.7 1,906.6 1,812.9 1,709.9 1,586.1 -7.2% -22.3% Burglary 354.8 336.0 336.2 320.8 333.9 334.4 327.5 285.9 256.5 220.7 -14.0% -37.8%

Larceny 1,520.4 1,494.6 1,522.3 1,487.8 1,494.2 1,478.4 1,491.1 1,448.0 1,373.8 1,288.7 -6.2% -15.2% MV Theft 166.2 145.0 128.8 111.5 105.3 95.9 87.9 78.9 79.6 76.8 -3.5% -53.8%

Note: The increase in the violent crime total in 2015 is attributable in part to the expanded crime category of rape (see Appendix 6).

Source: DCJS, Uniform Crime/Incident-Based Reporting system.

Includes all reports received as of 4/11/2016.

Appendix 1

New York State Index Crime Counts and Rates per 100,000 Population: 2006 - 2015

% change

% change

NEW YORK CITY 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2014-15 2006-15

Index Crime 205,522 199,941 198,419 188,357 188,104 191,666 195,753 194,355 185,191 179,948 -2.8% -12.4% Violent Crime 52,086 50,453 48,430 46,357 48,489 51,209 52,993 52,384 49,444 50,088 1.3% -3.8% Murder 596 496 523 471 536 515 419 335 333 352 5.7% -40.9% Rape 1,071 875 890 832 1,036 1,092 1,162 1,112 1,070 2,244 N/A N/A Robbery 23,511 21,787 22,186 18,597 19,608 19,773 20,201 19,170 16,581 16,946 2.2% -27.9% Agg. Assault 26,908 27,295 24,831 26,457 27,309 29,829 31,211 31,767 31,460 30,546 -2.9% 13.5% Property Crime 153,436 149,488 149,989 142,000 139,615 140,457 142,760 141,971 135,747 129,860 -4.3% -15.4% Burglary 22,137 20,914 19,867 18,780 17,926 18,159 18,635 16,606 15,916 14,098 -11.4% -36.3% Larceny 115,363 115,318 117,682 112,526 111,370 112,864 115,935 117,931 112,107 108,376 -3.3% -6.1% MV Theft 15,936 13,256 12,440 10,694 10,319 9,434 8,190 7,434 7,724 7,386 -4.4% -53.7%

NON-NEW YORK CITY 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2014-15 2006-15

Index Crime 272,345 261,052 266,271 261,613 262,329 257,234 256,582 238,284 224,714 208,783 -7.1% -23.3% Violent Crime 31,730 29,364 29,011 28,473 27,347 26,252 26,311 24,088 22,900 24,723 8.0% -22.1% Murder 331 311 313 313 330 255 269 309 283 258 -8.8% -22.1% Rape 2,094 2,049 1,897 1,733 1,730 1,679 1,668 1,502 1,467 3,834 N/A N/A Robbery 10,870 9,249 9,557 9,466 8,797 8,577 8,354 8,004 7,408 6,855 -7.5% -36.9% Agg. Assault 18,435 17,755 17,244 16,961 16,490 15,741 16,020 14,273 13,742 13,776 0.2% -25.3% Property Crime 240,615 231,688 237,260 233,140 234,982 230,982 230,271 214,196 201,814 184,060 -8.8% -23.5% Burglary 46,350 43,920 45,647 43,897 46,769 46,927 45,442 39,566 34,717 29,574 -14.8% -36.2% Larceny 178,113 173,051 178,958 178,154 178,124 174,835 175,817 166,561 159,100 146,669 -7.8% -17.7% MV Theft 16,152 14,717 12,655 11,089 10,089 9,220 9,012 8,069 7,997 7,817 -2.3% -51.6%




Appendix 2

% change

New York State Index Crime Summary by Region: 2006 - 2015

% change


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County Index Violent Property County Index Violent Property

Albany 2,664.8 325.7 2,339.2 Onondaga 2,475.9 320.9 2,155.0

Allegany 1,218.9 120.4 1,098.5 Ontario 1,670.3 131.1 1,539.2

Bronx 2,506.3 925.9 1,580.5 Orange 1,920.8 244.1 1,676.7

Broome 3,284.9 317.0 2,967.9 Orleans 1,614.3 165.5 1,448.8

Cattaraugus 1,665.1 162.7 1,502.4 Oswego 1,942.4 202.7 1,739.7

Cayuga 1,980.4 249.9 1,730.4 Otsego 1,383.0 128.4 1,254.6

Chautauqua 2,515.5 269.2 2,246.2 Putnam 550.3 42.3 508.0

Chemung 2,179.7 182.1 1,997.5 Queens 1,536.4 421.5 1,114.9

Chenango 1,728.9 205.7 1,523.3 Rensselaer 2,627.7 342.2 2,285.6

Clinton 1,533.8 141.3 1,392.5 Richmond 1,356.5 346.4 1,010.0

Columbia 1,437.4 163.5 1,273.9 Rockland 1,152.6 147.2 1,005.4

Cortland 1,139.8 94.1 1,045.6 St Lawrence 1,494.5 127.8 1,366.6

Delaware 1,617.8 171.9 1,445.9 Saratoga 1,258.2 113.9 1,144.3

Dutchess 1,524.1 187.3 1,336.7 Schenectady 2,701.9 325.1 2,376.7

Erie 2,829.8 410.8 2,418.9 Schoharie 1,283.8 121.7 1,162.2

Essex 1,030.0 121.6 908.3 Schuyler 805.9 75.7 730.2

Franklin 1,640.5 172.3 1,468.2 Seneca 2,064.7 175.7 1,889.1

Fulton 2,444.8 229.7 2,215.1 Steuben 1,579.5 187.6 1,391.9

Genesee 2,040.7 195.9 1,844.8 Suffolk 1,566.2 129.5 1,436.7

Greene 1,252.4 241.6 1,010.7 Sullivan 1,758.0 224.1 1,534.0

Hamilton 919.2 64.1 855.1 Tioga 929.6 109.1 820.5

Herkimer 1,609.2 154.5 1,454.8 Tompkins 2,096.2 133.0 1,963.1

Jefferson 2,119.4 184.9 1,934.5 Ulster 1,674.2 169.3 1,504.9

Kings 2,043.6 620.6 1,423.0 Warren 1,676.2 165.5 1,510.7

Lewis 999.8 99.2 900.6 Washington 853.0 145.1 707.9

Livingston 1,371.9 118.2 1,253.7 Wayne 1,729.8 215.4 1,514.4

Madison 1,395.0 145.9 1,249.1 Westchester 1,249.9 218.8 1,031.1

Monroe 2,738.7 336.7 2,402.1 Wyoming 1,032.2 141.9 890.3

Montgomery 2,538.6 199.8 2,338.8 Yates 1,190.2 99.5 1,090.7

Nassau 1,197.2 145.6 1,051.6

New York 2,870.9 533.4 2,337.6 New York City 2,104.4 585.8 1,518.7

Niagara 2,778.2 364.5 2,413.7 Non-New York City 1,857.4 219.9 1,637.5Oneida 2,346.9 251.4 2,095.6 New York State 1,964.1 378.0 1,586.1



Note: The increase in the violent crime total in 2015 is attributable in part to the expanded crime category of rape

(see Appendix 6).

Crime Rate Crime Rate

Appendix 3

New York State Index Crime Summary by County: 2015

Rates per 100,000 Population


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HomicidesFirearm

RelatedHomicides

Firearm

RelatedHomicides

Firearm

Related

2006 596 220 331 185 927 405

2007 496 328 311 175 807 503

2008 523 294 313 179 836 473

2009 471 302 313 181 784 483

2010 536 323 330 199 866 522

2011 515 315 255 133 770 4482012 419 241 269 170 688 411

2013 335 194 309 172 644 366

2014 333 188 283 160 616 348

2015 352 235 258 148 610 383

2006 vs. 2015

% Change-40.9% 6.8% -22.1% -20.0% -34.2% -5.4%



Appendix 5

Homicides and Homicides by Firearm2006 - 2015

Year

New York City Non-New York City New York State

2014 vs. 15 2014 vs. 15

2014 2015 % Change 2014 2015 % Change

Violent Crimes 49,444 50,088 1.3% 22,900 24,723 8.0%

Firearm Related 7,005 6,577 -6.1% 4,608 4,387 -4.8%Percent Firearm 14.2% 13.1% 20.1% 17.7%

Murder 333 352 5.7% 283 258 -8.8%

Firearm Related 188 235 25.0% 160 148 -7.5%

Percent Firearm 56.5% 66.8% 56.5% 57.4%

Rape 1,070 2,244 109.7% 1,467 3,834 161.3%

Firearm Related 30 18 -40.0% 27 13 -51.9%

Percent Firearm 2.8% 0.8% 1.8% 0.3%

Robbery 16,581 16,946 2.2% 7,408 6,855 -7.5%

Firearm Related 3,415 3,308 -3.1% 2,282 2,039 -10.6%

Percent Firearm 20.6% 19.5% 30.8% 29.7%

Aggravated Assault 31,460 30,546 -2.9% 13,742 13,776 0.2%

Firearm Related 3,372 3,016 -10.6% 2,139 2,187 2.2%

Percent Firearm 10.7% 9.9% 15.6% 15.9%



Appendix 4

Violent Crime by Firearm

2014 vs. 2015


Note: The increase in the violent crime total in 2015 is attributable in part to the expanded crime

category of rape (see Appendix 6).


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The FBI has expanded the definition of rape used by law enforcement agencies when collecting and reportingIndex crime statistics through its Uniform Crime Reporting (UCR) program. This change was made to moreaccurately reflect the scope and volume of sexual assaults nationwide and in New York State, and was fullyimplemented statewide in 2015.

Prior to the expanded definition taking effect, a violent sexual assault was only classified as an Index crime

rape if the victim was a female who had been vaginally penetrated by a male. The federal Justice Departmentestablished that limited definition in 1929 and it remained in effect through the end of 2012. During that time,the UCR program classified all other sexual assaults as “Part II” sex offenses, which are not included in theseven Index crime categories used to gauge overall crime trends.

The new definition still includes the historical elements of the crime but the crime of rape now applies tofemale and male victims and includes the following additional elements: “penetration, no matter how slight,of the vagina or anus with any body part or object, or oral penetration by a sex organ of another person,without the consent of the victim.” A complete list of Penal Law offenses that are now required to be reportedas rape are included in Appendix 8. Please note that certain crimes in that list contain a “T” or “H” designation;those letters reflect that the crimes can be charged as a Hate Crime (Penal Law Article 485) or a crime ofTerrorism (Penal Law Article 490). Other letters denote a specific subsection of the law.

DCJS modified its crime reporting system so it could track offenses historically defined as rape as well asthose reported under the expanded definition. This allows New York State to measure the impact of the ex-panded definition on New York State’s crime trends, using 2015 as a baseline year.

The following tables detail the impact of the expanded rape definition on Index and violent crime counts for2014 and 2015. A total of 3,516 offenses were defined as rape in 2015 as a result of the expansion, in addi-tion to the 2,562 offenses historically defined as the crime. This change resulted in a 139.6 percent increasein rape between 2014 and 2015. Controlling for the new crimes as a result of the expansion, there was anincrease of 1 percent in rape between 2014 and 2015.

The chart on the following page — New York State Rapes by County: 2015 — details the total number ofrapes reported broken down by offenses that meet the historic definition of the crime versus those using theexpanded definition. Appendix 7 has two parts with additional information: 7A details crime counts by countyfor 2014 vs. 2015 using the expanded rape definition while 7B uses the historical definition of the crime toshow the county-by-county comparison for those years.

Appendix 6: Federal Changes in Rape Reporting

% change

New York State 2014 2015 2014-15

Index Crime 409,905 388,731 -5.2%

Violent Crime 72,344 74,811 3.4%

Murder 616 610 -1.0%

Rape 2,537 6,078 139.6%

Robbery 23,989 23,801 -0.8%

Agg. Assault 45,202 44,322 -1.9%

Property Crime 337,561 313,920 -7.0%

Burglary 50,633 43,672 -13.7%

Larceny 271,207 255,045 -6.0% MV Theft 15,721 15,203 -3.3%

New York State Index Crime Counts: 2014 - 2015

Expanded Rape Definition Applied

% change

New York State 2014 2015 2014-15

Index Crime 409,905 385,215 -6.0%

Violent Crime 72,344 71,295 -1.5%

Murder 616 610 -1.0%

Rape 2,537 2,562 1.0%

Robbery 23,989 23,801 -0.8%

Agg. Assault 45,202 44,322 -1.9%

Property Crime 337,561 313,920 -7.0%

Burglary 50,633 43,672 -13.7%

Larceny 271,207 255,045 -6.0% MV Theft 15,721 15,203 -3.3%

New York State Index Crime Counts: 2014 - 2015

Historical Rape Definition Applied


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This Appendix contains two parts:

7A: New York State Index Crime Summary by County — Expanded Rape Definition Applied

Index and violent crime totals for 2015 include the number of rapes reported under the expanded definition.

As a result, this table does not include percentage change calculations for rape counts between 2014 and2015. Percentage change calculations between 2014 and 2015 Index and violent crime totals should beinterpreted with caution, as increases may be due in part to the expanded definition.

7B: New York State Index Crime Summary by County — Historical Rape Definition Applied

Index and violent crime totals for 2015 and 2014 include only those crimes historically defined as rape. As aresult, percent changes between 2014 and 2015 rape counts have been calculated.

Appendix 8 details the Penal Law crimes reported as rape under the historical definition and the additionalcrimes now included in the expanded definition. Please note that certain crimes in that list contain a “T” or “H”designation; those letters reflect that the crimes can be charged as a Hate Crime (Penal Law Article 485) ora crime of Terrorism (Penal Law Article 490). Other letters denote a specific subsection of the law.

PLEASE NOTE:

Data included in this report differ slightly from those published by the FBI, as that agency estimates Indexcrimes for agencies with incomplete reporting, and excludes data submitted after FBI deadlines.

In addition, New York State’s 2014 rape counts as published by the FBI in its “Crime in the United States”report are incorrect due to a calculation error. This error resulted from the FBI’s use of a formula to estimaterape counts for each state because of the change in the definition of the crime.

Appendix 7: New York State Index Crime Summary by County


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Agg. MV

County Year Total Violent Murder Rape Robbery Assault Property Burglary Larceny Theft

Albany 2014 9,157 995 14 45 313 623 8,162 1,129 6,801 2322015 8,224 1,005 6 91 283 625 7,219 924 6,088 207

% change -10.2% 1.0% -57.1% NA -9.6% 0.3% -11.6% -18.2% -10.5% -10.8%

Allegany 2014 614 68 2 9 3 54 546 135 396 15

2015 577 57 0 28 0 29 520 93 412 15

% change -6.0% -16.2% -100.0% NA -100.0% -46.3% -4.8% -31.1% 4.0% 0.0%

Bronx 2014 36,030 12,713 95 242 4,004 8,372 23,317 2,739 19,104 1,474

2015 36,299 13,409 91 556 4,386 8,376 22,890 2,530 18,767 1,593

% change 0.7% 5.5% -4.2% NA 9.5% 0.0% -1.8% -7.6% -1.8% 8.1%

Broome 2014 6,318 496 4 46 130 316 5,822 879 4,807 1362015 6,445 622 6 154 148 314 5,823 929 4,784 110

% change 2.0% 25.4% 50.0% NA 13.8% -0.6% 0.0% 5.7% -0.5% -19.1%

Cattaraugus 2014 1,442 133 3 17 8 105 1,309 261 997 51

2015 1,269 124 1 52 9 62 1,145 214 897 34

% change -12.0% -6.8% -66.7% NA 12.5% -41.0% -12.5% -18.0% -10.0% -33.3%

Cayuga 2014 1,560 138 0 23 15 100 1,422 232 1,156 34

2015 1,553 196 0 67 14 115 1,357 224 1,099 34

% change -0.4% 42.0% NA NA -6.7% 15.0% -4.6% -3.4% -4.9% 0.0%

Chautauqua 2014 3,532 296 3 32 66 195 3,236 740 2,397 99

2015 3,298 353 3 72 78 200 2,945 644 2,204 97

% change -6.6% 19.3% 0.0% NA 18.2% 2.6% -9.0% -13.0% -8.1% -2.0%

Chemung 2014 2,136 151 1 11 33 106 1,985 343 1,597 45

2015 1,903 159 2 27 42 88 1,744 275 1,429 40

% change -10.9% 5.3% 100.0% NA 27.3% -17.0% -12.1% -19.8% -10.5% -11.1%

Chenango 2014 909 50 3 8 5 34 859 177 671 11

2015 849 101 0 65 1 35 748 141 583 24

% change -6.6% 102.0% -100.0% NA -80.0% 2.9% -12.9% -20.3% -13.1% 118.2%

Clinton 2014 1,307 68 3 19 5 41 1,239 197 1,019 23

2015 1,248 115 0 59 6 50 1,133 170 939 24% change -4.5% 69.1% -100.0% NA 20.0% 22.0% -8.6% -13.7% -7.9% 4.3%

Columbia 2014 926 47 0 5 8 34 879 157 702 20

2015 888 101 3 38 9 51 787 161 612 14

% change -4.1% 114.9% NA NA 12.5% 50.0% -10.5% 2.5% -12.8% -30.0%

Cortland 2014 1,081 49 2 15 8 24 1,032 229 780 23

2015 557 46 2 16 6 22 511 95 406 10

% change -48.5% -6.1% 0.0% NA -25.0% -8.3% -50.5% -58.5% -47.9% -56.5%

Appendix 7A

New York State Index Crime Summary by County

2014 vs. 2015Expanded Rape Definition Applied


13/25


May 2016

Agg. MV


Delaware 2014 768 58 0 7 4 47 710 180 512 182015 734 78 0 45 6 27 656 154 488 14

% change -4.4% 34.5% NA NA 50.0% -42.6% -7.6% -14.4% -4.7% -22.2%

Dutchess 2014 4,761 559 3 26 172 358 4,202 621 3,490 91

2015 4,507 554 4 107 118 325 3,953 501 3,342 110

% change -5.3% -0.9% 33.3% NA -31.4% -9.2% -5.9% -19.3% -4.2% 20.9%

Erie 2014 28,348 3,925 66 173 1,497 2,189 24,423 4,629 18,492 1,302

2015 26,091 3,788 46 296 1,302 2,144 22,303 4,306 16,695 1,302

% change -8.0% -3.5% -30.3% NA -13.0% -2.1% -8.7% -7.0% -9.7% 0.0%

Essex 2014 341 44 0 10 1 33 297 90 193 142015 381 45 0 24 2 19 336 97 227 12

% change 11.7% 2.3% NA NA 100.0% -42.4% 13.1% 7.8% 17.6% -14.3%

Franklin 2014 850 53 0 6 5 42 797 148 627 22

2015 838 88 0 53 5 30 750 149 587 14

% change -1.4% 66.0% NA NA 0.0% -28.6% -5.9% 0.7% -6.4% -36.4%

Fulton 2014 1,465 63 0 4 19 40 1,402 265 1,105 32

2015 1,309 123 0 42 10 71 1,186 199 961 26

% change -10.6% 95.2% NA NA -47.4% 77.5% -15.4% -24.9% -13.0% -18.8%

Genesee 2014 1,517 112 1 20 19 72 1,405 251 1,126 28

2015 1,198 115 2 37 15 61 1,083 168 878 37

% change -21.0% 2.7% 100.0% NA -21.1% -15.3% -22.9% -33.1% -22.0% 32.1%

Greene 2014 686 78 2 11 1 64 608 151 440 17

2015 596 115 0 32 3 80 481 122 350 9

% change -13.1% 47.4% -100.0% NA 200.0% 25.0% -20.9% -19.2% -20.5% -47.1%

Hamilton 2014 62 1 0 0 0 1 61 25 34 2

2015 43 3 0 3 0 0 40 16 23 1

% change -30.6% 200.0% NA NA NA -100.0% -34.4% -36.0% -32.4% -50.0%

Herk imer 2014 1,123 110 0 11 10 89 1,013 187 808 18

2015 1,021 98 1 24 3 70 923 157 734 32% change -9.1% -10.9% NA NA -70.0% -21.3% -8.9% -16.0% -9.2% 77.8%

Jefferson 2014 2,530 173 1 27 21 124 2,357 345 1,973 39

2015 2,533 221 3 82 17 119 2,312 395 1,867 50

% change 0.1% 27.7% 200.0% NA -19.0% -4.0% -1.9% 14.5% -5.4% 28.2%

Kings 2014 56,700 17,053 122 347 5,980 10,604 39,647 5,719 31,273 2,655

2015 53,957 16,385 146 659 5,686 9,894 37,572 5,077 30,015 2,480

% change -4.8% -3.9% 19.7% NA -4.9% -6.7% -5.2% -11.2% -4.0% -6.6%

Appendix 7A




14/25

May 2016


Agg. MV


Lewis 2014 257 27 0 2 0 25 230 82 138 102015 272 27 0 9 1 17 245 86 153 6

% change 5.8% 0.0% NA NA NA -32.0% 6.5% 4.9% 10.9% -40.0%

Livingston 2014 896 47 1 5 6 35 849 155 677 17

2015 882 76 0 35 7 34 806 129 650 27

% change -1.6% 61.7% -100.0% NA 16.7% -2.9% -5.1% -16.8% -4.0% 58.8%

Madison 2014 1,133 61 1 10 6 44 1,072 210 846 16

2015 1,004 105 1 50 12 42 899 153 726 20

% change -11.4% 72.1% 0.0% NA 100.0% -4.5% -16.1% -27.1% -14.2% 25.0%

Monroe 2014 21,324 2,227 35 164 866 1,162 19,097 3 ,458 14,667 9722015 20,532 2,524 38 288 831 1,367 18,008 3,148 13,793 1,067

% change -3.7% 13.3% 8.6% NA -4.0% 17.6% -5.7% -9.0% -6.0% 9.8%

Montgomery 2014 1,251 48 0 7 17 24 1,203 184 995 24

2015 1,258 99 0 36 13 50 1,159 211 914 34

% change 0.6% 106.3% NA NA -23.5% 108.3% -3.7% 14.7% -8.1% 41.7%

Nassau 2014 17,679 2,043 18 60 937 1,028 15,636 1 ,931 12,835 870

2015 16,285 1,980 21 80 831 1,048 14,305 1 ,708 11,914 683

% change -7.9% -3.1% 16.7% NA -11.3% 1.9% -8.5% -11.5% -7.2% -21.5%

New York 2014 47,566 8,327 37 243 2,909 5,138 39,239 2 ,678 35,791 770

2015 47,307 8,789 41 467 3,148 5,133 38,518 2 ,538 35,156 824

% change -0.5% 5.5% 10.8% NA 8.2% -0.1% -1.8% -5.2% -1.8% 7.0%

Niagara 2014 6,223 798 7 33 235 523 5,425 1,230 3,942 253

2015 5,900 774 4 79 205 486 5,126 1,086 3,829 211

% change -5.2% -3.0% -42.9% NA -12.8% -7.1% -5.5% -11.7% -2.9% -16.6%

Oneida 2014 5,764 560 9 41 152 358 5,204 1,049 3,984 171

2015 5,443 583 7 141 109 326 4,860 882 3,808 170

% change -5.6% 4.1% -22.2% NA -28.3% -8.9% -6.6% -15.9% -4.4% -0.6%

Onondaga 2014 12,957 1,493 20 82 497 894 11,464 2,249 8,715 500

2015 11,574 1,500 24 149 432 895 10,074 1,850 7,785 439% change -10.7% 0.5% 20.0% NA -13.1% 0.1% -12.1% -17.7% -10.7% -12.2%

Ontario 2014 2,182 130 0 31 14 85 2,052 360 1,663 29

2015 1,835 144 1 54 23 66 1,691 352 1,314 25

% change -15.9% 10.8% NA NA 64.3% -22.4% -17.6% -2.2% -21.0% -13.8%

Orange 2014 7,850 831 7 59 239 526 7,019 973 5,854 192

2015 7,223 918 6 143 218 551 6,305 855 5,267 183

% change -8.0% 10.5% -14.3% NA -8.8% 4.8% -10.2% -12.1% -10.0% -4.7%

Appendix 7A




15/25


May 2016

Agg. MV


Orleans 2014 687 58 0 5 7 46 629 163 445 212015 673 69 0 21 3 45 604 143 442 19

% change -2.0% 19.0% NA NA -57.1% -2.2% -4.0% -12.3% -0.7% -9.5%

Oswego 2014 2,552 159 2 33 24 100 2,393 572 1,762 59

2015 2,338 244 2 119 26 97 2,094 494 1,550 50

% change -8.4% 53.5% 0.0% NA 8.3% -3.0% -12.5% -13.6% -12.0% -15.3%

Otsego 2014 837 51 0 2 8 41 786 130 642 14

2015 840 78 2 42 6 28 762 141 599 22

% change 0.4% 52.9% NA NA -25.0% -31.7% -3.1% 8.5% -6.7% 57.1%

Putnam 2014 780 51 0 3 8 40 729 161 553 152015 546 42 0 12 3 27 504 85 392 27

% change -30.0% -17.6% NA NA -62.5% -32.5% -30.9% -47.2% -29.1% 80.0%

Queens 2014 38,030 9,800 64 207 3,271 6,258 28,230 4,191 21,434 2,605

2015 35,920 9,854 60 468 3,270 6,056 26,066 3,396 20,400 2,270

% change -5.5% 0.6% -6.3% NA 0.0% -3.2% -7.7% -19.0% -4.8% -12.9%

Rensselaer 2014 4,259 471 9 25 133 304 3,788 811 2,778 199

2015 4,193 546 10 56 174 306 3,647 676 2,819 152

% change -1.5% 15.9% 11.1% NA 30.8% 0.7% -3.7% -16.6% 1.5% -23.6%

Richmond 2014 6,865 1,551 15 31 417 1,088 5,314 589 4,505 220

2015 6,465 1,651 14 94 456 1,087 4,814 557 4,038 219

% change -5.8% 6.4% -6.7% NA 9.4% -0.1% -9.4% -5.4% -10.4% -0.5%

Rockland 2014 3,710 370 3 19 112 236 3,340 375 2,883 82

2015 3,759 480 4 61 122 293 3,279 291 2,893 95

% change 1.3% 29.7% 33.3% NA 8.9% 24.2% -1.8% -22.4% 0.3% 15.9%

St Lawrence 2014 1,705 96 3 20 12 61 1,609 280 1,299 30

2015 1,660 142 2 53 14 73 1,518 279 1,210 29

% change -2.6% 47.9% -33.3% NA 16.7% 19.7% -5.7% -0.4% -6.9% -3.3%

Saratoga 2014 2,964 165 1 26 29 109 2,799 448 2,281 70

2015 2,840 257 0 81 25 151 2,583 361 2,164 58% change -4.2% 55.8% -100.0% NA -13.8% 38.5% -7.7% -19.4% -5.1% -17.1%

Schenectady* 2014 5,090 598 6 38 168 386 4,492 879 3,451 162

2015 4,205 506 5 48 122 331 3,699 552 3,055 92

% change -17.4% -15.4% -16.7% NA -27.4% -14.2% -17.7% -37.2% -11.5% -43.2%

Schoharie 2014 380 11 0 1 1 9 369 72 285 12

2015 401 38 1 20 0 17 363 63 288 12

% change 5.5% 245.5% NA NA -100.0% 88.9% -1.6% -12.5% 1.1% 0.0%

Appendix 7A




16/25

May 2016


Agg. MV


Schuyler 2014 165 10 0 0 0 10 155 20 130 52015 149 14 0 9 2 3 135 20 114 1

% change -9.7% 40.0% NA NA NA -70.0% -12.9% 0.0% -12.3% -80.0%

Seneca 2014 721 57 1 5 2 49 664 92 555 17

2015 717 61 0 17 6 38 656 103 533 20

% change -0.6% 7.0% -100.0% NA 200.0% -22.4% -1.2% 12.0% -4.0% 17.6%

Steuben 2014 1,533 113 0 26 9 78 1,420 246 1,131 43

2015 1,549 184 1 79 12 92 1,365 199 1,135 31

% change 1.0% 62.8% NA NA 33.3% 17.9% -3.9% -19.1% 0.4% -27.9%

Suffolk 2014 26,113 1,764 29 50 632 1,053 24,349 3,338 19,770 1,2412015 23,525 1,945 24 159 720 1,042 21,580 2,433 17,928 1,219

% change -9.9% 10.3% -17.2% NA 13.9% -1.0% -11.4% -27.1% -9.3% -1.8%

Sullivan 2014 1,641 156 3 14 27 112 1,485 471 974 40

2015 1,326 169 1 64 15 89 1,157 332 804 21

% change -19.2% 8.3% -66.7% NA -44.4% -20.5% -22.1% -29.5% -17.5% -47.5%

Tioga 2014 467 27 0 5 2 20 440 112 314 14

2015 460 54 1 23 6 24 406 82 305 19

% change -1.5% 100.0% NA NA 200.0% 20.0% -7.7% -26.8% -2.9% 35.7%

Tompkins 2014 2,603 103 1 15 34 53 2,500 484 1,980 36

2015 2,206 140 0 53 30 57 2,066 315 1,716 35

% change -15.3% 35.9% -100.0% NA -11.8% 7.5% -17.4% -34.9% -13.3% -2.8%

Ulster 2014 3,262 293 5 50 49 189 2,969 558 2,367 44

2015 3,007 304 0 96 41 167 2,703 420 2,212 71

% change -7.8% 3.8% -100.0% NA -16.3% -11.6% -9.0% -24.7% -6.5% 61.4%

Warren 2014 1,208 40 0 9 6 25 1,168 156 998 14

2015 1,084 107 1 50 11 45 977 121 843 13

% change -10.3% 167.5% NA NA 83.3% 80.0% -16.4% -22.4% -15.5% -7.1%

Washington 2014 684 60 0 9 3 48 624 118 487 19

2015 529 90 1 27 1 61 439 82 345 12% change -22.7% 50.0% NA NA -66.7% 27.1% -29.6% -30.5% -29.2% -36.8%

Wayne 2014 1,602 112 0 23 24 65 1,490 352 1,093 45

2015 1,582 197 2 77 21 97 1,385 340 998 47

% change -1.2% 75.9% NA NA -12.5% 49.2% -7.0% -3.4% -8.7% 4.4%

Westchester 2014 12,102 2,149 14 65 804 1,266 9,953 1,490 7,991 472

2015 12,203 2,136 17 165 736 1,218 10,067 1,304 8,084 679

% change 0.8% -0.6% 21.4% NA -8.5% -3.8% 1.1% -12.5% 1.2% 43.9%

Appendix 7A




17/25


May 2016

Agg. MV


Wyoming 2014 379 36 0 1 0 35 343 59 274 10

2015 422 58 3 16 0 39 364 60 294 10% change 11.3% 61.1% NA NA NA 11.4% 6.1% 1.7% 7.3% 0.0%

Yates 2014 321 18 0 4 2 12 303 78 218 7

2015 299 25 0 8 0 17 274 84 188 2

% change -6.9% 38.9% NA NA -100.0% 41.7% -9.6% 7.7% -13.8% -71.4%


Note: NA indicates that the percentage change is not applicable because the count in 2014 was zero. All percentage changes for rape are

also NA. 2015 data cannot be com pared to 2014 due to the expanded definition of rape.

*Schenectady City PD identified a discrepancy in the numb er of crimes sub mitted to DCJS in 2015 that was not resolved at publication

of this report. As a result, the preliminary numb er of Index crimes presented for Schenectady County may be lower than the actual numb er

of offenses reported to law enforcement in 2015.

Source: DCJS, Uniform Crime/Incident-Based R eporting s ystem.Includes all reports received as of 4/11/2016.

Appendix 7A

New York State Index Crime Summary by County2014 vs. 2015

Expanded Rape Definition Applied


18/25

May 2016


Historical Agg. MV


Albany 2014 9,157 995 14 45 313 623 8,162 1,129 6,801 2322015 8,172 953 6 39 283 625 7,219 924 6,088 207

% change -10.8% -4.2% -57.1% -13.3% -9.6% 0.3% -11.6% -18.2% -10.5% -10.8%

Allegany 2014 614 68 2 9 3 54 546 135 396 15

2015 557 37 0 8 0 29 520 93 412 15

% change -9.3% -45.6% -100.0% -11.1% -100.0% -46.3% -4.8% -31.1% 4.0% 0.0%

Bronx 2014 36,030 12,713 95 242 4,004 8,372 23,317 2,739 19,104 1,474

2015 36,001 13,111 91 258 4,386 8,376 22,890 2,530 18,767 1,593

% change -0.1% 3.1% -4.2% 6.6% 9.5% 0.0% -1.8% -7.6% -1.8% 8.1%

Broome 2014 6,318 496 4 46 130 316 5,822 879 4,807 1362015 6,341 518 6 50 148 314 5,823 929 4,784 110

% change 0.4% 4.4% 50.0% 8.7% 13.8% -0.6% 0.0% 5.7% -0.5% -19.1%

Cattaraugus 2014 1,442 133 3 17 8 105 1,309 261 997 51

2015 1,226 81 1 9 9 62 1,145 214 897 34

% change -15.0% -39.1% -66.7% -47.1% 12.5% -41.0% -12.5% -18.0% -10.0% -33.3%

Cayuga 2014 1,560 138 0 23 15 100 1,422 232 1,156 34

2015 1,501 144 0 15 14 115 1,357 224 1,099 34

% change -3.8% 4.3% NA -34.8% -6.7% 15.0% -4.6% -3.4% -4.9% 0.0%

Chautauqua 2014 3,532 296 3 32 66 195 3,236 740 2,397 99

2015 3,261 316 3 35 78 200 2,945 644 2,204 97

% change -7.7% 6.8% 0.0% 9.4% 18.2% 2.6% -9.0% -13.0% -8.1% -2.0%

Chemung 2014 2,136 151 1 11 33 106 1,985 343 1,597 45

2015 1,884 140 2 8 42 88 1,744 275 1,429 40

% change -11.8% -7.3% 100.0% -27.3% 27.3% -17.0% -12.1% -19.8% -10.5% -11.1%

Chenango 2014 909 50 3 8 5 34 859 177 671 11

2015 800 52 0 16 1 35 748 141 583 24

% change -12.0% 4.0% -100.0% 100.0% -80.0% 2.9% -12.9% -20.3% -13.1% 118.2%

Clinton 2014 1,307 68 3 19 5 41 1,239 197 1,019 23

2015 1,205 72 0 16 6 50 1,133 170 939 24% change -7.8% 5.9% -100.0% -15.8% 20.0% 22.0% -8.6% -13.7% -7.9% 4.3%

Columbia 2014 926 47 0 5 8 34 879 157 702 20

2015 856 69 3 6 9 51 787 161 612 14

% change -7.6% 46.8% NA 20.0% 12.5% 50.0% -10.5% 2.5% -12.8% -30.0%

Cortland 2014 1,081 49 2 15 8 24 1,032 229 780 23

2015 554 43 2 13 6 22 511 95 406 10

% change -48.8% -12.2% 0.0% -13.3% -25.0% -8.3% -50.5% -58.5% -47.9% -56.5%

Appendix 7B


2014 vs. 2015Historical Rape Definition Applied


19/25


May 2016

Historical Agg. MV


Delaware 2014 768 58 0 7 4 47 710 180 512 18

2015 701 45 0 12 6 27 656 154 488 14

% change -8.7% -22.4% NA 71.4% 50.0% -42.6% -7.6% -14.4% -4.7% -22.2%

Dutchess 2014 4,761 559 3 26 172 358 4,202 621 3,490 91

2015 4,439 486 4 39 118 325 3,953 501 3,342 110

% change -6.8% -13.1% 33.3% 50.0% -31.4% -9.2% -5.9% -19.3% -4.2% 20.9%

Erie 2014 28,348 3,925 66 173 1,497 2,189 24,423 4,629 18,492 1,302

2015 25,951 3,648 46 156 1,302 2,144 22,303 4,306 16,695 1,302

% change -8.5% -7.1% -30.3% -9.8% -13.0% -2.1% -8.7% -7.0% -9.7% 0.0%

Essex 2014 341 44 0 10 1 33 297 90 193 142015 363 27 0 6 2 19 336 97 227 12

% change 6.5% -38.6% NA -40.0% 100.0% -42.4% 13.1% 7.8% 17.6% -14.3%

Franklin 2014 850 53 0 6 5 42 797 148 627 22

2015 795 45 0 10 5 30 750 149 587 14

% change -6.5% -15.1% NA 66.7% 0.0% -28.6% -5.9% 0.7% -6.4% -36.4%

Fulton 2014 1,465 63 0 4 19 40 1,402 265 1,105 32

2015 1,279 93 0 12 10 71 1,186 199 961 26

% change -12.7% 47.6% NA 200.0% -47.4% 77.5% -15.4% -24.9% -13.0% -18.8%

Genesee 2014 1,517 112 1 20 19 72 1,405 251 1,126 28

2015 1,169 86 2 8 15 61 1,083 168 878 37

% change -22.9% -23.2% 100.0% -60.0% -21.1% -15.3% -22.9% -33.1% -22.0% 32.1%

Greene 2014 686 78 2 11 1 64 608 151 440 17

2015 576 95 0 12 3 80 481 122 350 9

% change -16.0% 21.8% -100.0% 9.1% 200.0% 25.0% -20.9% -19.2% -20.5% -47.1%

Hamilton 2014 62 1 0 0 0 1 61 25 34 2

2015 42 2 0 2 0 0 40 16 23 1

% change -32.3% 100.0% NA NA NA -100.0% -34.4% -36.0% -32.4% -50.0%

Herk imer 2014 1,123 110 0 11 10 89 1,013 187 808 18

2015 1,007 84 1 10 3 70 923 157 734 32% change -10.3% -23.6% NA -9.1% -70.0% -21.3% -8.9% -16.0% -9.2% 77.8%

Jefferson 2014 2,530 173 1 27 21 124 2,357 345 1,973 39

2015 2,486 174 3 35 17 119 2,312 395 1,867 50

% change -1.7% 0.6% 200.0% 29.6% -19.0% -4.0% -1.9% 14.5% -5.4% 28.2%

Kings 2014 56,700 17,053 122 347 5,980 10,604 39,647 5,719 31,273 2,655

2015 53,676 16,104 146 378 5,686 9,894 37,572 5,077 30,015 2,480

% change -5.3% -5.6% 19.7% 8.9% -4.9% -6.7% -5.2% -11.2% -4.0% -6.6%

Appendix 7B




20/25

May 2016


Historical Agg. MV


Lewis 2014 257 27 0 2 0 25 230 82 138 102015 266 21 0 3 1 17 245 86 153 6

% change 3.5% -22.2% NA 50.0% NA -32.0% 6.5% 4.9% 10.9% -40.0%

Livingston 2014 896 47 1 5 6 35 849 155 677 17

2015 862 56 0 15 7 34 806 129 650 27

% change -3.8% 19.1% -100.0% 200.0% 16.7% -2.9% -5.1% -16.8% -4.0% 58.8%

Madison 2014 1,133 61 1 10 6 44 1,072 210 846 16

2015 966 67 1 12 12 42 899 153 726 20

% change -14.7% 9.8% 0.0% 20.0% 100.0% -4.5% -16.1% -27.1% -14.2% 25.0%

Monroe 2014 21,324 2,227 35 164 866 1,162 19,097 3 ,458 14,667 9722015 20,381 2,373 38 137 831 1,367 18,008 3,148 13,793 1,067

% change -4.4% 6.6% 8.6% -16.5% -4.0% 17.6% -5.7% -9.0% -6.0% 9.8%

Montgomery 2014 1,251 48 0 7 17 24 1,203 184 995 24

2015 1,230 71 0 8 13 50 1,159 211 914 34

% change -1.7% 47.9% NA 14.3% -23.5% 108.3% -3.7% 14.7% -8.1% 41.7%

Nassau 2014 17,679 2,043 18 60 937 1,028 15,636 1 ,931 12,835 870

2015 16,247 1,942 21 42 831 1,048 14,305 1 ,708 11,914 683

% change -8.1% -4.9% 16.7% -30.0% -11.3% 1.9% -8.5% -11.5% -7.2% -21.5%

New York 2014 47,566 8,327 37 243 2,909 5,138 39,239 2 ,678 35,791 770

2015 47,074 8,556 41 234 3,148 5,133 38,518 2 ,538 35,156 824

% change -1.0% 2.8% 10.8% -3.7% 8.2% -0.1% -1.8% -5.2% -1.8% 7.0%

Niagara 2014 6,223 798 7 33 235 523 5,425 1,230 3,942 253

2015 5,857 731 4 36 205 486 5,126 1,086 3,829 211

% change -5.9% -8.4% -42.9% 9.1% -12.8% -7.1% -5.5% -11.7% -2.9% -16.6%

Oneida 2014 5,764 560 9 41 152 358 5,204 1,049 3,984 171

2015 5,354 494 7 52 109 326 4,860 882 3,808 170

% change -7.1% -11.8% -22.2% 26.8% -28.3% -8.9% -6.6% -15.9% -4.4% -0.6%

Onondaga 2014 12,957 1,493 20 82 497 894 11,464 2,249 8,715 500

2015 11,512 1,438 24 87 432 895 10,074 1,850 7,785 439% change -11.2% -3.7% 20.0% 6.1% -13.1% 0.1% -12.1% -17.7% -10.7% -12.2%

Ontario 2014 2,182 130 0 31 14 85 2,052 360 1,663 29

2015 1,806 115 1 25 23 66 1,691 352 1,314 25

% change -17.2% -11.5% NA -19.4% 64.3% -22.4% -17.6% -2.2% -21.0% -13.8%

Orange 2014 7,850 831 7 59 239 526 7,019 973 5,854 192

2015 7,138 833 6 58 218 551 6,305 855 5,267 183

% change -9.1% 0.2% -14.3% -1.7% -8.8% 4.8% -10.2% -12.1% -10.0% -4.7%

Appendix 7B




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Historical Agg. MV


Orleans 2014 687 58 0 5 7 46 629 163 445 212015 659 55 0 7 3 45 604 143 442 19

% change -4.1% -5.2% NA 40.0% -57.1% -2.2% -4.0% -12.3% -0.7% -9.5%

Oswego 2014 2,552 159 2 33 24 100 2,393 572 1,762 59

2015 2,252 158 2 33 26 97 2,094 494 1,550 50

% change -11.8% -0.6% 0.0% 0.0% 8.3% -3.0% -12.5% -13.6% -12.0% -15.3%

Otsego 2014 837 51 0 2 8 41 786 130 642 14

2015 807 45 2 9 6 28 762 141 599 22

% change -3.6% -11.8% NA 350.0% -25.0% -31.7% -3.1% 8.5% -6.7% 57.1%

Putnam 2014 780 51 0 3 8 40 729 161 553 152015 540 36 0 6 3 27 504 85 392 27

% change -30.8% -29.4% NA 100.0% -62.5% -32.5% -30.9% -47.2% -29.1% 80.0%

Queens 2014 38,030 9,800 64 207 3,271 6,258 28,230 4,191 21,434 2,605

2015 35,653 9,587 60 201 3,270 6,056 26,066 3,396 20,400 2,270

% change -6.3% -2.2% -6.3% -2.9% 0.0% -3.2% -7.7% -19.0% -4.8% -12.9%

Rensselaer 2014 4,259 471 9 25 133 304 3,788 811 2,778 199

2015 4,165 518 10 28 174 306 3,647 676 2,819 152

% change -2.2% 10.0% 11.1% 12.0% 30.8% 0.7% -3.7% -16.6% 1.5% -23.6%

Richmond 2014 6,865 1,551 15 31 417 1,088 5,314 589 4,505 220

2015 6,396 1,582 14 25 456 1,087 4,814 557 4,038 219

% change -6.8% 2.0% -6.7% -19.4% 9.4% -0.1% -9.4% -5.4% -10.4% -0.5%

Rockland 2014 3,710 370 3 19 112 236 3,340 375 2,883 82

2015 3,722 443 4 24 122 293 3,279 291 2,893 95

% change 0.3% 19.7% 33.3% 26.3% 8.9% 24.2% -1.8% -22.4% 0.3% 15.9%

St Lawrence 2014 1,705 96 3 20 12 61 1,609 280 1,299 30

2015 1,621 103 2 14 14 73 1,518 279 1,210 29

% change -4.9% 7.3% -33.3% -30.0% 16.7% 19.7% -5.7% -0.4% -6.9% -3.3%

Saratoga 2014 2,964 165 1 26 29 109 2,799 448 2,281 70

2015 2,782 199 0 23 25 151 2,583 361 2,164 58% change -6.1% 20.6% -100.0% -11.5% -13.8% 38.5% -7.7% -19.4% -5.1% -17.1%

Schenectady* 2014 5,090 598 6 38 168 386 4,492 879 3,451 162

2015 4,181 482 5 24 122 331 3,699 552 3,055 92

% change -17.9% -19.4% -16.7% -36.8% -27.4% -14.2% -17.7% -37.2% -11.5% -43.2%

Schoharie 2014 380 11 0 1 1 9 369 72 285 12

2015 388 25 1 7 0 17 363 63 288 12

% change 2.1% 127.3% NA 600.0% -100.0% 88.9% -1.6% -12.5% 1.1% 0.0%

Appendix 7B




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Historical Agg. MV


Schuyler 2014 165 10 0 0 0 10 155 20 130 52015 142 7 0 2 2 3 135 20 114 1

% change -13.9% -30.0% NA NA NA -70.0% -12.9% 0.0% -12.3% -80.0%

Seneca 2014 721 57 1 5 2 49 664 92 555 17

2015 705 49 0 5 6 38 656 103 533 20

% change -2.2% -14.0% -100.0% 0.0% 200.0% -22.4% -1.2% 12.0% -4.0% 17.6%

Steuben 2014 1,533 113 0 26 9 78 1,420 246 1,131 43

2015 1,492 127 1 22 12 92 1,365 199 1,135 31

% change -2.7% 12.4% NA -15.4% 33.3% 17.9% -3.9% -19.1% 0.4% -27.9%

Suffolk 2014 26,113 1,764 29 50 632 1,053 24,349 3,338 19,770 1,2412015 23,421 1,841 24 55 720 1,042 21,580 2,433 17,928 1,219

% change -10.3% 4.4% -17.2% 10.0% 13.9% -1.0% -11.4% -27.1% -9.3% -1.8%

Sullivan 2014 1,641 156 3 14 27 112 1,485 471 974 40

2015 1,282 125 1 20 15 89 1,157 332 804 21

% change -21.9% -19.9% -66.7% 42.9% -44.4% -20.5% -22.1% -29.5% -17.5% -47.5%

Tioga 2014 467 27 0 5 2 20 440 112 314 14

2015 443 37 1 6 6 24 406 82 305 19

% change -5.1% 37.0% NA 20.0% 200.0% 20.0% -7.7% -26.8% -2.9% 35.7%

Tompkins 2014 2,603 103 1 15 34 53 2,500 484 1,980 36

2015 2,171 105 0 18 30 57 2,066 315 1,716 35

% change -16.6% 1.9% -100.0% 20.0% -11.8% 7.5% -17.4% -34.9% -13.3% -2.8%

Ulster 2014 3,262 293 5 50 49 189 2,969 558 2,367 44

2015 2,944 241 0 33 41 167 2,703 420 2,212 71

% change -9.7% -17.7% -100.0% -34.0% -16.3% -11.6% -9.0% -24.7% -6.5% 61.4%

Warren 2014 1,208 40 0 9 6 25 1,168 156 998 14

2015 1,047 70 1 13 11 45 977 121 843 13

% change -13.3% 75.0% NA 44.4% 83.3% 80.0% -16.4% -22.4% -15.5% -7.1%

Washington 2014 684 60 0 9 3 48 624 118 487 19

2015 506 67 1 4 1 61 439 82 345 12% change -26.0% 11.7% NA -55.6% -66.7% 27.1% -29.6% -30.5% -29.2% -36.8%

Wayne 2014 1,602 112 0 23 24 65 1,490 352 1,093 45

2015 1,531 146 2 26 21 97 1,385 340 998 47

% change -4.4% 30.4% NA 13.0% -12.5% 49.2% -7.0% -3.4% -8.7% 4.4%

Westchester 2014 12,102 2,149 14 65 804 1,266 9,953 1,490 7,991 472

2015 12,123 2,056 17 85 736 1,218 10,067 1,304 8,084 679

% change 0.2% -4.3% 21.4% 30.8% -8.5% -3.8% 1.1% -12.5% 1.2% 43.9%

Appendix 7B




23/25


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Historical Agg. MV


Wyoming 2014 379 36 0 1 0 35 343 59 274 10

2015 411 47 3 5 0 39 364 60 294 10

% change 8.4% 30.6% NA 400.0% NA 11.4% 6.1% 1.7% 7.3% 0.0%

Yates 2014 321 18 0 4 2 12 303 78 218 7

2015 296 22 0 5 0 17 274 84 188 2

% change -7.8% 22.2% NA 25.0% -100.0% 41.7% -9.6% 7.7% -13.8% -71.4%

Note: NA indicates that the percentage change is not applicable because the count in 2014 was zero.

*Schenectady City PD identified a discrepancy in the numb er of crimes sub mitted to DCJS in 2015 that was not resolved at publication

of this report. As a result, the preliminary numb er of Index crimes presented for Schenectady County may be lower than the actual numb er

of offenses reported to law enforcement in 2015.

Source: DCJS, Uniform Crime/Incident-Based R eporting s ystem.


Appendix 7B

New York State Index Crime Summary by County2014 vs. 2015

Historical Rape Definition Applied


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May 2016


TITLE SECTION SUBSECTIONCATEGORY CLASS DEGREE LAW DESCRIPTION

PL 130.25 01 F E 3 RAPE 3:VICTIM INCAPABLE OF CONSENT-FACTOR OTHER THAN


25/25

May 2016

TITLE SECTION SUBSECTIONCATEGORY CLASS DEGREE LAW DESCRIPTION

PL 130.66 01B F D 3 AGGR SEX ABUSE 3RD:INCAPABLE CONSENT-PHYSICALLY HELPLESS

PL 130.66 01BT F C 3 PL490.25/CRIME OF TERRORISM:AGGR SEX ABUSE 3-VICTIM HELPLESS

PL 130.66 01C F D 3 AGGR SEX ABUSE 3RD: VICTIM LESS THAN 11YRS

PL 130.66 01CT F C 3 PL490.25/CRIME OF TERRORISM:AGGRAVATED SEX ABUSE 3-VICTIM

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