Top Local Agencies in Minnesota by Marijuana Possession Arrest Rate, 14 Arrest Minimum, (2006)

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      Marijuana Arrests Other Arrests
Rank Agency Population
Total
Pct. of All Drug Arrests
Poss.
Poss. Rate
Black Pct.
Males Age
15 to 19 Pct.
Other Drugs
Violent
Property
1
Crosby
2,237
43 75% 26 1,162 0% 23% 14 4 29
2
Hennepin
7,747
79 32% 64 826 48% 16% 166 12 99
3
Oak Park Heights
4,092
48 83% 33 806 3% 79% 10 7 87
4
Lake Of The Woods
4,451
33 97% 26 584 0% 15% 1 2 8
5
Bayport
3,271
21 62% 18 550 0% 72% 13 0 9
6
Eveleth
3,685
26 62% 18 488 0% 39% 16 5 53
7
Baxter
7,449
47 76% 36 483 0% 25% 15 6 141
8
Brainerd
13,775
133 80% 65 472 14% 37% 33 32 188
9
St. Francis
7,148
51 91% 32 448 3% 31% 5 2 60
10
Belle Plaine
4,576
25 83% 20 437 0% 40% 5 1 38
11
Medina
4,775
31 91% 20 419 0% 20% 3 3 15
12
Red Wing
15,905
90 65% 63 396 19% 30% 48 24 241
13
International Falls
6,374
34 81% 25 392 0% 4% 8 6 36
14
Centennial Lakes
11,275
77 90% 44 390 0% 36% 9 9 50
15
Burnsville
59,554
328 72% 220 369 20% 29% 126 46 820
16
Detroit Lakes
7,967
40 82% 29 364 0% 38% 9 10 144
17
Cook
5,403
27 87% 18 333 0% 0% 4 2 12
18
Minneapolis
375,302
1,207 34% 1,158 309 80% 29% 2,317 1,531 5,219
19
Big Lake
8,863
49 70% 27 305 0% 22% 21 8 106
20
Jordan
5,154
30 71% 15 291 7% 47% 12 1 42
21
West St. Paul
19,082
79 62% 55 288 29% 42% 48 28 468
22
Thief River Falls
8,433
31 72% 24 285 0% 54% 12 11 85
23
Bloomington
81,706
414 67% 230 282 48% 42% 207 96 1,484
24
Brooklyn Park
69,008
212 57% 193 280 67% 39% 162 124 1,189
25
Elk River
21,472
89 88% 58 270 0% 40% 12 13 198
26
Rosemount
19,440
85 82% 49 252 6% 43% 19 8 119
27
Bemidji
13,385
44 62% 31 232 0% 35% 27 29 365
28
Virginia
8,724
45 69% 20 229 15% 35% 20 28 214
29
Minnetrista
7,874
29 74% 18 229 0% 33% 10 6 23
30
Richfield
33,721
118 63% 76 225 46% 26% 69 65 410
31
Fairmont
10,575
47 78% 23 217 0% 9% 13 5 84
32
Willmar
18,305
64 70% 39 213 3% 18% 28 28 375
33
New Hope
20,432
56 81% 42 206 17% 40% 13 28 248
34
St. Cloud
66,232
285 59% 136 205 26% 22% 195 136 1,158
35
Buffalo
13,379
62 83% 27 202 22% 30% 13 13 105
36
White Bear Lake
23,892
60 80% 48 201 10% 52% 15 29 186
37
Maplewood
35,319
96 59% 68 193 38% 31% 67 50 1,157
38
Crookston
7,982
16 80% 15 188 7% 33% 4 10 87
39
Columbia Heights
18,231
46 55% 34 187 29% 26% 37 52 402
40
Anoka
17,726
46 59% 33 186 6% 33% 32 11 201
41
Albert Lea
18,035
69 67% 33 183 3% 55% 34 27 239
42
Roseville
32,293
69 55% 58 180 26% 47% 57 28 713
43
Golden Valley
20,137
65 68% 35 174 57% 11% 31 15 123
44
Duluth
85,463
183 59% 146 171 20% 29% 126 183 1,287
45
Blaine
54,445
162 61% 93 171 20% 27% 104 54 850
46
Chaska
22,973
63 72% 39 170 10% 41% 24 16 238
47
Owatonna
24,294
73 75% 41 169 7% 51% 24 15 286
48
Shakopee
31,442
94 59% 53 169 9% 42% 66 40 378
49
Cottage Grove
32,771
79 72% 55 168 9% 62% 31 23 313
50
Winona
26,765
85 53% 43 161 16% 40% 74 14 229
51
Kandiyohi
23,169
62 67% 37 160 3% 19% 31 12 73
52
Mankato
35,210
90 66% 55 156 9% 27% 46 61 645
53
Mille Lacs
18,231
44 48% 28 154 0% 29% 47 28 182
54
Savage
26,759
63 81% 41 153 15% 39% 15 9 137
55
St. Paul
276,989
432 28% 421 152 72% 38% 1,089 1,060 2,788
56
Sartell
12,753
36 95% 19 149 0% 37% 2 3 42
57
North St. Paul
11,431
26 87% 17 149 29% 59% 4 9 108
58
Apple Valley
50,189
100 64% 74 147 19% 54% 56 53 543
59
Anoka
21,717
59 74% 30 138 3% 17% 21 13 205
60
Oakdale
27,572
42 75% 38 138 39% 34% 14 26 453
61
Minnetonka
50,379
184 98% 68 135 29% 47% 4 13 447
62
Moorhead
34,309
75 66% 46 134 4% 22% 39 18 285
63
Austin
23,626
53 41% 31 131 6% 42% 77 45 395
64
Fridley
26,692
52 60% 35 131 20% 11% 34 28 358
65
Todd
19,166
54 62% 25 130 0% 36% 33 2 76
66
Fergus Falls
13,814
41 58% 18 130 0% 50% 30 28 171
67
St. Louis
52,291
107 60% 67 128 0% 22% 71 39 287
68
Prior Lake
22,316
52 68% 28 125 14% 29% 24 12 91
69
New Brighton
20,877
38 79% 26 125 19% 42% 10 17 118
70
Hopkins
16,937
37 71% 21 124 38% 24% 15 20 139
71
Champlin
23,458
49 71% 28 119 25% 61% 20 14 145
72
Crystal
21,790
33 73% 26 119 42% 27% 12 31 346
73
Chisago
28,530
62 67% 32 112 0% 25% 30 21 183
74
Kanabec
12,851
19 58% 14 109 0% 7% 14 8 69
75
Stillwater
17,494
36 63% 19 109 0% 37% 21 7 128
76
Goodhue
22,284
59 78% 24 108 17% 29% 17 6 82
77
Washington
57,114
101 66% 61 107 0% 39% 51 13 163
78
Dakota
18,131
70 75% 19 105 11% 5% 23 7 68
79
Robbinsdale
13,420
18 45% 14 104 64% 7% 22 20 141
80
Rochester
95,585
178 56% 99 104 37% 29% 141 127 1,224
81
Olmsted
40,507
74 80% 41 101 5% 29% 18 6 143
82
Meeker
16,825
28 70% 17 101 0% 24% 12 10 67
83
Coon Rapids
62,834
112 53% 63 100 10% 38% 100 48 808
84
Faribault
22,194
41 67% 22 99 5% 68% 20 32 266
85
Blue Earth
18,633
37 76% 18 97 6% 22% 12 1 42
86
Benton
16,239
22 61% 15 92 0% 13% 14 8 74
87
Ramsey
22,222
34 68% 20 90 0% 25% 16 5 142
88
Plymouth
70,167
173 81% 63 90 16% 43% 40 28 380
89
Farmington
17,859
49 77% 16 90 6% 63% 15 3 107
90
Eagan
64,090
175 71% 56 87 27% 30% 70 34 511
91
Wright
95,047
165 64% 81 85 6% 36% 94 60 592
92
Eden Prairie
61,054
73 94% 52 85 12% 65% 5 43 414
93
Inver Grove Heights
33,404
83 70% 28 84 29% 36% 35 33 251
94
Sherburne
41,825
62 57% 35 84 9% 37% 47 35 168
95
Woodbury
52,830
59 60% 44 83 5% 64% 39 17 276
96
Lakeville
51,828
155 91% 43 83 2% 37% 15 7 353
97
Crow Wing
36,856
38 45% 30 81 3% 3% 47 23 72
98
Carlton
20,132
26 45% 16 79 0% 38% 32 5 40
99
South St. Paul
19,491
42 70% 15 77 27% 33% 18 18 189
100
Lino Lakes
19,554
23 53% 15 77 0% 27% 20 9 103

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Notes:

For financial and other reasons some local police agencies are not able to report arrest data to the Uniform Crime Reporting Program. Of the agencies reporting data to the UCR program, these are the top 100 agencies that report the most arrests for marijuana possession in this state. The table above ranks the reporting agencies with the most marijuana arrests by the arrest rate for marijuana possession.

The population listing in the table refers to the coverage population of the local police agency. University police stations, many divisions of the state police (SP), and some other agencies do not have applicable coverage populations that are reported along with arrest data reported to the UCR program. Consequently arrest rates per 100,000 population can not be calculated and reported for these agencies and they are not included in the above rankings.

Other drug crimes refers to drug-related offenses that to no include marijuana. These include sales and possession offenses involving the following catefories of drugs:

Opiates/Cocaine: This category includes opium, cocaine, and their derivatives. Opiate derivatives include, for example, morphine, heroin, and codeine. Cocaine derivative include crack cocaine.

Synthetic Narcotics: This category includes manufactured narcotics and includes, for example, Demerol , methadone, and Oxycontin.

Other Drugs: This category includes dangerous non-narcotic drugs and includes, for example, barbiturates, benzedrine, LSD, methamphetamine, and PCP.

Violent crimes include murder, rape, robbery, and aggravated assault.

Property crimes include burglary, larceny-theft, motor-vehicle theft, and arson.

 

Source: Uniform Crime Reporting Program Data

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