NYS crime stats by county
Transcript of NYS crime stats by county
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8/16/2019 NYS crime stats by county
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Source: DCJS, Uniform Crime Reporting system (as of 4/11/2016!
NYS DIVISION OF CRIMINAL JUSTICE SERVICES
INDEX CRIMES REPORTED TO POLICE: 2011 - 2015
Violent Crime Property Crime
"ncomp#ete/
$ of %ont&s Ine! Violent 'gg! Property
County ear Rpt) Tot"l Tot"l %ur)er Rape Ro**ery 'ssau#t Tot"l +urg#ary arceny
'#*any 2011 10#$25 1#1%& - 46 . -1 '#5%2 1,-1 -,-.
2012 '#'$1 1#012 6 6- .1. 626 (#'5' 1,01 -,16
201. '#)55 1#002 46 22 6 (#)5& 1,204 6,
2014 '#15$ ''5 14 4 .1. 62. (#1%2 1,12 6,01
201 (#22) 1#005 6 1 2. 62 $#21' 24 6,0
'##egany 2011 ('5 %) 0 1. 4 4- (&1 10 621
2012 (5% %5 2 2 2 $'1 211 61
201. $'% 5) 0 4 41 $)2 14 .4
2014 %1) %( 2 . 4 5)% 1. .6
201 5$$ 5$ 0 2 0 2 520 . 412
+ron 2011 &5#1&0 12#2%$ 14 204 4,0 -,.. 22#(%& .,. 1-,.
2012 &5#'%2 12#(01 114 220 4,-.1 -,-.6 2%1 .,0 1,44201. &%#2(0 1 . 1 4,46 ,22 2%0 2,- 1,016
2014 &%#0&0 12#$1& 242 4,004 ,.-2 2&1$ 2,-. 1,104
201 &%#2'' 1)0' 1 6 4,.6 ,.-6 22#('0 2,.0 1,-6-
+roome 2011 %#%)& 521 . 6 126 ..6 %#122 1,066 4,40
2012 %#('$ %0) - 1.. 40 %#2'& 1,2. 4,
201. %#$0% 512 - 1 1. .01 %#1') 1,162 4,0.
2014 %#&1( )'% 4 46 1.0 .16 5#(22 - 4,0-
201 %#))5 %22 6 14 14 .14 5#(2& 2 4,-4
3ota# &' 2#$55 2$ &%% %'0 1#%$2 &0#25) 5#2(' 2)#&&&
ercentage -&*0+ 1'*)+ 100*0+ 1$5*0+ 1$*5+ -%*5+ -)*'+ -12*'+ -&*2+
Cattaraugus 2011 1#'25 1%2 1 16 1- 12 1#$%& .60 1,.6
2012 2#0$' 1)' 1 20 1- 111 1#'&0 4.2 1,462
201. 1#$%) 115 0 1. 11 1 1#%)' .0 1,2-2014 1#))2 1&& . 1- 10 1#&0' 261 -
201 1#2%' 12) 1 2 62 1#1)5 214 -
Cayuga 2011 1#$1$ 1(2 . .1 1- 1.1 1#5&5 .06 1,1
2012 1#(0( 1)1 1 1. 21 106 1#%%$ .0 1,.16
201. 1#51% 12( 2 26 2. -- 1#&(( 26 1,10
2014 1#5%0 1&( 0 2. 1 100 1#)22 2.2 1,16
201 1#55& 1'% 0 6- 14 11 1#&5$ 224 1,0
C&autau5ua 2011 %(% &02 1 .4 6 202 &() 62 2,4.
2012 ()$ &0( 2 .0 60 216 &' 1 2,6.4
201. %&$ 2$) 2 .0 6 1-- &%& --6 2,40
2014 &2 2'% . .2 66 1 &% -40 2,.-
201 '( &5& . -2 - 200 2#')5 644 2,204
C&emung 2011 2#2$( 1$$ 1 1. 2 1. 2#101 40- 1,6.2012 2#)&) 222 4 2 46 1-0 2#212 . 1,-6
201. 2#201 151 0 - .- 10- 2#050 .1 1,6-2
2014 2#1&% 151 1 11 .. 106 1#'(5 .4. 1,-
201 1#'0& 15' 2 2- 42 1#$)) 2- 1,42
3ota# 10#'52 (%0 ( %0 1(% %0% 10#0'2 1#$$) (#11'
ercentage -1%*5+ -10*2+ 100*0+ 10$*$+ 50*0+ -&)*(+ -1$*0+ -&2*)+ -1&*%+
C&enango 2011 1#0$2 5$ 0 1- . .- 1#015 22 -6
2012 1#02) 5( 0 1- 10 .1 '%% 14 --
201. '2$ )( 2 1. 4 2 ($' 164 -0.
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Source: DCJS, Uniform Crime Reporting system (as of 4/11/2016!
2014 '0' 50 . .4 (5' 1-- 6-1
201 ()' 101 0 6 1 . $)( 141 .
C#inton 2011 1#%'0 $) 1 16 6 1 1#%1% .06 1,24
2012 1#%(5 '0 0 1 - 6 1#5'5 2-4 1,2.
201. 1#%%5 111 . 21 - 1#55) 261 1,24
2014 1#&0$ %( . 1 41 1#2&' 1- 1,01
201 1#2)( 115 0 6 0 1#1&& 1-0 .
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Co#um*ia 2011 1#2&) '% 1 1. -- 1#1&( 22 -0
2012 1#)2% 101 0 16 1 -0 1#&25 262 1,01
201. 1#125 $% 0 1- 1 1#0)' 20- 2
2014 '2% )$ 0 .4 ($' 1- -02
201 ((( 101 . . 1 $($ 161 612
Cort#an) 2011 1#10) $) 0 1 4- 1#0&0 214 -
2012 1#105 %) 1 11 1 .. 1#0)1 24 --2
201. 1#0%) 51 0 12 .0 1#01& 210 -1
2014 1#0(1 )' 2 1 24 1#0&2 22 -0
201 55$ )% 2 16 6 22 511 406
De#aare 2011 (1& $% 1 16 1 $&$ 20 0-
2012 $%& %& 1 11 - 44 $00 1-. 0-
201. (05 5% 2 - 42 $)' 1-2 60
2014 $%( 5( 0 - 4 4- $10 10 12
201 $&) $( 0 4 6 2- %5% 14 4
Dutc&ess 2011 5#%$$ %25 - 42 10 426 5#052 - .,4
2012 5#'00 %$( 2 16. 41 5#222 4,16
201. 5#10' 5(& 12 2 14 .4 )#52% -6- .,621
2014 )#$%& 5%1 26 1-2 . )#202 621 .,40
201 )#50$ 55) 4 10- 11 .2 '5& 01 .,.42
3ota# 25#'5% && 2&2 $52 1#'() 22#'55 $)) 1(#5%%
ercentage -20*%+ -11*)+ -)2*'+ 15)*(+ -21*&+ -2&*$+ -21*(+ -)$*%+ -15*&+
7rie 2011 &1#)11 )#201 40 1 1,-1 2,21 2$#210 6,4-- 1,16
2012 &1#)%( )#22$ 0 211 1,604 2,.62 2$#2)1 6,026 1,-.4
201. 2'#2'% )#0(' 20 1,01 2,.24 25#20$ ,222 1,-.0
2014 2(#&)( '25 66 1-. 1,4- 2,1 2)#)2& 4,62 1,42
201 2%#0'1 $(( 46 26 1,.02 2,144 22#&0& 4,.06 16,6
7sse 2011 %1$ )$ 0 16 0 .1 5$0 1. .-0
2012 51$ )& 1 - . .2 )$) 1.0 ..1
201. ))' )& 0 2 .. )0% 121 266
2014 &)1 )) 0 10 1 .. 2'$ 0 1.
201 &(1 )5 0 24 2 1 &&% - 22-
8ran9#in 2011 '$& %1 1 10 2 4 '12 221 6622012 1#0)2 5$ 1 1 6 . '(5 21. -46
201. ($) %1 1 10 . 4- (1& 1- 606
2014 (50 5& 0 6 42 $'$ 14 62-
201 (&( (( 0 . .0 $50 14 -
8u#ton 2011 1#%05 %1 0 1. 40 1#5)) .26 1,1-
2012 1#55' 52 0 12 . 1#50$ .01 1,162
201. 1#52$ %2 1 1. 11 .- 1#)%5 262 1,164
2014 1#)%5 %& 0 4 1 40 1#)02 26 1,10
201 1#&0' 12& 0 42 10 -1 1#1(% 1 61
enesee 2011 1#)&' 112 0 1 12 2 1#&2$ 260 1,02
2012 1#)5& '2 0 12 -2 1#&%1 266 1,061
201. 1#)%$ 10' 0 22 22 6 1#&5( 24 1,044
2014 1#51$ 112 1 20 1 -2 1#)05 21 1,126201 1#1'( 115 2 .- 1 61 1#0(& 16 -
reene 2011 (&0 105 0 - 0 $25 206 40
2012 $21 (( 0 - 6 - %&& 14 41
201. $1$ 5( 1 6 4. %5' 21. 420
2014 %(% $( 2 11 1 64 %0( 11 440
201 5'% 115 0 .2 . 0 )(1 122 .0
;ami#ton 2011 5( 1 0 1 0 0 5$ 2 2
2012 (1 1 0 0 0 1 (0 .2 44
201. %2 ) 0 0 0 4 5( 21 .-
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Source: DCJS, Uniform Crime Reporting system (as of 4/11/2016!
2014 %2 1 0 0 0 1 %1 2 .4
201 )& & 0 . 0 0 )0 16 2.
;er9imer 2011 1#&%2 1)1 1 11 14 11 1#221 .0 0
2012 1#&0( 12) 2 . 110 1#1() 2-1 .
201. 1#1'0 12% 4 1 - 100 1#0%) 24 0.
2014 1#12& 110 0 11 10 1#01& 1- 0
201 1#021 '( 1 24 . -0 '2& 1- -.4
Jefferson 2011 2#)(1 1(2 2 1 24 1. 2#2'' .6 1,4
2012 2#'1$ 21& 1 1 2 1-2 2#$0) 460 2,00
201. 2#)02 1)0 1 16 16 10- 2#2%2 .. 1,4.
2014 2#5&0 1$& 1 2- 21 124 2#&5$ .4 1,-.
201 2#5&& 221 . 2 1- 11 2#&12 . 1,6-
assau 2011 1'#&$) 2#22% 2. 6. 1,0-4 1,066 1$#1)( 2,-4 1.,.14
2012 1'#5$5 2#)5( 2 -1 1,0 1,260 1$#11$ 2,-4. 1.,.-2201. 1(#%() 2#111 2 4 1,04. 1%#5$& 2,. 1.,.2
2014 1$#%$' 2#0)& 1 60 .- 1,02 15#%&% 1,.1 12,.
201 1%#2(5 1#'(0 21 0 .1 1,04 1)#&05 1,-0 11,14
>e or9 2011 50#(5( '#021 -1 2 .,64 ,014 )1#(&$ .,02 .-,6
2012 51#$5% '#102 6. 2 .,1 ,16. )2#%5) .,0 .,-.
201. 51#($2 (#$0( . 2.6 .,.40 ,0. )%) 2,-- .,64-
2014 )$#5%% (#&2$ .- 24. 2,0 ,1. &'#2&' 2,6- .,-1
201 )$#&0$ (#$(' 41 46- .,14 ,1.. &(#51( 2,. .,16
>iagara 2011 $#2&) (11 64 2.1 11 %#)2& 1,606 4,2.
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8/16/2019 NYS crime stats by county
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Source: DCJS, Uniform Crime Reporting system (as of 4/11/2016!
2012 %#'5) (1' 4 4 20- 60 %#1&5 1,4.- 4,4-2
201. %#%5) $'( 4 .- 240 1- 5#(5% 1,.12 4,.2.
2014 %#22& $'( - .. 2. 2. 5#)25 1,2.0 .,42
201 5#'00 $$) 4 - 20 46 5#12% 1,06 .,2
?nei)a 2011 5#'&$ 550 - .6 1.0 .-- 5#&($ 1,2.2 4,004
2012 %#&(' 5'5 2 4. 164 .6 5#$') 1,212 4,.-
201. 5#'(( 5&$ 1. 4 1.6 .4. 5#)51 1,0 4,22-
2014 5#$%) 5%0 41 12 . 5#20) 1,04 .,4
201 5#))& 5(& - 141 10 .26 )#(%0 2 .,0
?non)aga 2011 12#(%2 1#%5% 14 11. 464 1,06 11#20% 2,6.1 ,0-
2012 1%)5 1#$52 1 110 .- 1,00 11#('& 2,61 ,.0
201. 1'($ 1#)'1 2 104 46 . 12#)'% 2,642 ,.12
2014 12#'5$ 1#)'& 20 2 4- 4 11#)%) 2,24 ,-1
201 11#5$) 1#500 24 14 4.2 10#0$) 1,0 -,-
?ntario 2011 2#10& 150 0 24 .- 1#'5& 410 1,02
2012 2#1$5 150 2 .6 22 0 2#025 4.2 1,2
201. 2#0') 122 1 20 .1 -0 1#'$2 .- 1,4
2014 2#1(2 1&0 0 .1 14 2#052 .60 1,66.
201 1#(&5 1)) 1 4 2. 66 1#%'1 .2 1,.14
?range 2011 '#00( 1#01% .. $#''2 1,40 6,.46
2012 '#)'% 1#0$$ 6- .-. 62 (#)1' 1,.. 6,2-
201. (#5'2 (%( 12 -4 2-- 0 $#$2) 1,1 6,.12
2014 $#(50 (&1 - 2. 26 $#01' -. ,4
201 $#22& '1( 6 14. 21 1 %#&05 ,26-
?r#eans 2011 1#00& (1 2 1. '22 22- 66-
2012 '20 %1 0 4- (5' 1. 6.
201. $)$ 5' 1 6 44 %(( 1- 466
2014 %($ 5( 0 - 46 %2' 16. 44
201 %$& %' 0 21 . 4 %0) 14. 442
?sego 2011 % 1(1 2 2 22 12 &5 6. 2,20
2012 &2( 20% 0 . 2- 144 z -1 2,2.0
201. 2#%$5 15$ 2 1 2 111 2#51( 21 1,1-
2014 2#552 15' 2 .. 24 100 2#&'& -2 1,-62201 2#&&( 2)) 2 11 26 - 2#0') 44 1,0
?tsego 2011 1#1)% 11' 1 6 12 100 1#02$ 22 -1
2012 '(& $( 0 14 1. 1 '05 16 64
201. (&5 %5 1 11 1 . $$0 1-- -
2014 (&$ 51 0 2 41 $(% 1.0 642
201 ()0 $( 2 42 6 2 $%2 141
utnam 2011 (%0 %% 1 . 4 $') 1-
2012 ($5 )1 0 - 26 (&) 1 61.
201. $$2 )' 0 12 2 $2& 1.1 6
2014 $(0 51 0 . 40 $2' 161 .
201 5)% )2 0 12 . 2- 50) .2
3ota# (&& 2)' 1 &$ &5 1$% () $)& 2#$21
ercentage -&%*5+ -&%*)+ ,,, &00*0+ -%2*5+ -50*0+ -&%*5+ -52*2+ -&)*)+@ueens 2011 &'#(%& 10#&11 2 221 4,0- ,1 2'#552 4,1 21,
2012 )0#1'' 10#$5& . 24 4,14 6,26- 2'#))% ,11 21,0
201. &'#'1& 10#$)0 24 .,4 6,4.. 2'#1$& 4,-.2 22,0.0
2014 &(#0&0 '#(00 64 20- .,2-1 6,2 2(#2&0 4,11 21,4.4201 &5#'20 '#(5) 60 46 .,2-0 6,06 2%#0%% .,.6 20,400
Rensse#aer 2011 )#%($ )(5 1 42 12 .14 )#202 1,1. 2,00
2012 )#%)$ ))$ .0 1.0 2- )#200 0 .,0.
201. )#1&$ )$1 . 24 1 2 %%% 1- 2,61
2014 )#25' )$1 2 1.. .04 $(( 11 2,--
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Source: DCJS, Uniform Crime Reporting system (as of 4/11/2016!
201 )#1'& 5)% 10 6 1-4 .06 %)$ 6-6 2,1
Ric&mon) 2011 %#(01 1#)2( 16 .2 . 2 5#&$& -2. 4,.10
2012 $#1)% 1#%%) 10 . 44 1,1-4 5#)(2 -26 4,444
201. $#2&) 1#%5( - .2 26 1,0. 5#5$% 66 4,61
2014 %#(%5 1#551 1 .1 41- 1,0 5#&1) 4,0
201 %#)%5 1#%51 14 4 46 1,0- )#(1) - 4,0.
Roc9#an) 2011 )#5%$ 55) . .1 16- .. )#01& 1 .,.0
2012 )#&25 501 2 2 146 .24 (2) 40 .,16
201. (05 &'5 4 2 4 26 )10 40 2,10
2014 $10 &$0 . 1 112 2.6 &)0 .- 2,.
201 $5' )(0 4 61 122 2. $' 21 2,.
3ota# 20#1%% 2#&00 1% 1%( %)1 1#)$5 1$#(%% 2#1&2 15#2&2
ercentage -1$*$+ -1&*)+ &&*&+ '%*(+ -2%*'+ -1$*0+ -1(*&+ -)&*(+ -1)*$+
Saratoga 2011 $5 1&2 2 1 20 2 2#')& 02 2,..
2012 )0 15& 2 1 1 114 ($ 42 2,4
201. s 1$& 1 21 . 116 2#')2 44 2,.
2014 2#'%) 1%5 1 26 2 10 2#$'' 44 2,21
201 2#()0 25$ 0 1 2 11 2#5(& .61 2,164
Sc&enecta)y 2011 5#5&0 %($ 4 4. 21 421 )#()& 1,146 .,42
2012 5#5'1 %'1 - .- 226 421 )#'00 1,060 .,64-
201. 5#&(1 %$$ 11 .6 22 401 )#$0) 1,00- .,01
2014 5#0'0 5'( 6 . 16 .6 )#)'2 - .,41
201 )#205 50% 4 122 ..1 %'' 2 .,0
Sc&o&arie 2011 )&& 15 0 . 1 11 )1( 122 2.
2012 )') 1' 0 6 1 12 )$5 1.0 ...
201. 5&% 2$ 0 14 50' 11- ..
2014 &(0 11 0 1 1 &%' -2 2
201 )01 &( 1 20 0 1- &%& 6. 2
Sc&uy#er 2011 1$2 1( 0 0 1. 15) .2 11
2012 1(5 21 1 4 1 1 1%) 40 11
201. 1%5 1) 0 0 1 1. 151 .. 111
2014 1%5 10 0 0 0 10 155 20 1.0
201 1)' 1) 0 2 . 1&5 20 114Seneca 2011 %(1 %& 1 - 4 1 %1( 112 4
2012 (5& 5' 0 . 1 $') 11 66
201. $') %2 2 4- $&2 12.
2014 $21 5$ 1 2 4 %%) 2
201 $1$ %1 0 1- 6 . %5% 10. ..
St arence 2011 2#515 1)& 2 21 10 110 2#&$2 . 1,-2
2012 2#2)1 122 0 14 11 - 2#11' 41- 1,662
201. 1#'%5 112 1 10 12 1#(5& .4 1,4-0
2014 1#$05 '% . 20 12 61 1#%0' 20 1,2
201 1#%%0 1)2 2 . 14 -. 1#51( 2- 1,210
Steu*en 2011 1#%($ 1&( 2 2- 1- 2 1#5)' .14 1,1-
2012 1#(&$ 15% 0 40 1 101 1#%(1 .4 1,2-
201. 1#5&& 12& 1 21 1. 1#)10 266 1,1202014 1#5&& 11& 0 26 - 1#)20 246 1,1.1
201 1#5)' 1() 1 - 12 2 1#&%5 1 1,1.
Suffo#9 2011 &1#)0% 2#21$ .2 6. 1 1,.04 2'#1(' ,10 22,0-
2012 2(#($1 2#12$ 2. 4- -- 1,.00 2%#$)) 4,. 21,200
201. 2%#&$& 1#'&0 2- . 61 1,1 2)#))& .,610 1,6
2014 2%#11& 1#$%) 2 0 6.2 1,0. 2)#&)' .,.. 1,--0
201 2ȍ 1#')5 24 1 -20 1,042 21#5(0 2,4.. 1-,2
Su##i=an 2011 1#'&' 200 2 20 2 1. 1#$&' 4 1,146
2012 1#'&1 1(1 1 .4 2 11- 1#$50 6 1,140
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Source: DCJS, Uniform Crime Reporting system (as of 4/11/2016!
201. 1#$1' 1$2 1 1 22 1.1 1#5)$ 44 1,02.
2014 1#%)1 15% . 14 2- 112 1#)(5 4-1 -4
201 1#&2% 1%' 1 64 1 1#15$ ..2 04
3ioga 2011 5'1 &) 0 . 26 55$ 14 .0
2012 %%$ &5 0 0 - 2 %&2 11 466
201. %50 2$ 1 4 1- %2& 166 4.2
2014 )%$ 2$ 0 2 20 ))0 112 .14
201 )%0 5) 1 2. 6 24 )0% 2 .0
3omp9ins 2011 2#&(( '0 1 10 22 - 2#2'( .26 1,..
2012 2#$)% 11% 0 16 . 62 2#%&0 40 2,1-2
201. 2#'02 10' 1 1. 2 66 2#$'& 4 2,26
2014 2#%0& 10& 1 1 .4 . 2#500 44 1,0
201 2#20% 1)0 0 . .0 - 2#0%% .1 1,-16
U#ster 2011 $$2 &&5 2 4. 6 22 )&$ -2 2,-
2012 ')& 2$' 1 .1 . 20 %%) -.2 2,.
201. (0 2') . .1 2 20 (% . 2,6.
2014 %2 2'& 0 4 1 2#'%' 2,.6-
201 $ &0) 0 6 41 16- 2#$0& 420 2,212
Aarren 2011 1#)') 10$ . 1 12 -. 1#&($ 226 1,1.
2012 1#)2' 125 . 1 1#&0) 1-. 1,10
201. 1#2'2 5& 1 10 - . 1#2&' 1 1,0-.
2014 1#20( )0 0 6 2 1#1%( 16
201 1#0() 10$ 1 0 11 4 '$$ 121 4.
Aas&ington 2011 (%% '% . 1 6 -2 $$0 16 6-
2012 '%' $$ - 11 - 2 ('2 2.6 624
201. ((2 $1 1 6 (11 1- 601
2014 %() %0 0 . 4 %2) 11 4-
201 52' '0 1 2- 1 61 )&' 2 .4
Aayne 2011 1#$0( 1)1 0 .0 24 - 1#5%$ 414 1,10
2012 1#()5 1&2 1 21 1 1 1#$1& 4 1,21
201. 1#()2 15& 4 21 2 1#%(' 46 1,12
2014 1#%02 112 0 2. 24 6 1#)'0 .2 1,0.
201 1#5(2 1'$ 2 -- 21 - 1#&(5 .40 Aestc&ester 2011 1%#2(2 2#55$ 21 -1 1,0.4 1,4.1 1$25 2,124 10,2.
2012 15#0)0 2#))( 20 -2 24 1,4.2 12#5'2 1,- 10,06
201. 1)#12' 2#1'1 11 4. 1,2- 11#'&( 1,6- ,642
2014 12#102 2#1)' 14 6 04 1,266 '#'5& 1,40 -,1
201 12#20& 2#1&% 1- 16 -.6 1,21 10#0%$ 1,.04 ,04
3ota# %'#$5% 11#)(1 (& )&1 )#&)1 %#%2% 5(#2$5 (#)(& )%#%0'
ercentage -25*1+ -1%*5+ -1'*0+ 1&2*)+ -2(*(+ -1)*'+ -2%*$+ -&(*%+ -25*&+
Ayoming 2011 52( &$ 0 2 .0 )'1 6 .1
2012 552 51 0 6 40 501 -6 40
201. 510 )1 0 . 2 .6 )%' 2 .-
2014 &$' &% 0 1 0 . &)& 2-4
201 )22 5( . 16 0 . &%) 60 24
ates 2011 )10 1& 0 0 0 1. &'$ 10 22012 )2( 20 0 6 0 14 )0( 111 2.
201. )1& 1) 0 6 1 - &'' 112 24
2014 &21 1( 0 4 2 12 &0& - 21
201 2'' 25 0 0 1- 2$) 4 1
>ote: 3&e increase in t&e =io#ent crime tota# in 201 is attri*uta*#e in part to t&e epan)e) crime category of rape (see "n)eReporte) 2011 B 201, *e#o!
"n)e Crimes Reporte) 2011 B 201
http://www.criminaljustice.ny.gov/crimnet/ojsa/indexcrimes/county_totals.htmhttp://www.criminaljustice.ny.gov/crimnet/ojsa/indexcrimes/county_totals.htm
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Source: DCJS, Uniform Crime Reporting system (as of 4/11/2016!
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2,411
2,602,2-0
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8/16/2019 NYS crime stats by county
13/14
Source: DCJS, Uniform Crime Reporting system (as of 4/11/2016!
12
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226
220
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.
4
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1,241
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44
41
-
8/16/2019 NYS crime stats by county
14/14
40
40
21
1
1
2
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.
.
.
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26
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Crimes