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California Other Non-Narcotics Sales

California Metropolitan Area Counties
1995 Other Non-Narcotic Drug Possession Arrests by Race

(Data Source: Uniform Crime Reports. See below for notes.)


ALL

BLACK

WHITE

AM. INDIAN

ASIAN-PAC.

METROPOLITAN AREA

JURISDICTION

TL

POP

RATE

TL

POP (est)

RATE

TL

POP (est)

RATE

TL

POP (est)

RATE

TL

POP (est)

RATE

All listed below.

All listed below.

75,113 30,125,322 249.34 10,105 2,313,842 436.72 64,053 24,002,256 266.86 259 264,772 97.82 696 3,544,662 19.64

Bakersfield, Ca.

Kern

1,525 598,106 254.97 49 38,518 127.21 1,466 522,924 280.35 6 10,527 57.00 4 26,137 15.30

Chico-Paradise, Ca.

Butte

556 193,216 287.76 19 2,763 687.66 536 179,536 298.55 1 3,787 26.41 0 7,130 0.00

Fresno, Ca.

Fresno

1,523 725,428 209.95 174 38,230 455.14 1,340 602,395 222.45 7 9,285 75.39 2 75,517 2.65

Fresno, Ca.

Madera

143 105,451 135.61 9 3,596 250.29 134 97,806 137.01 0 2,077 0.00 0 1,982 0.00

Los Angeles-Long Beach, Ca.

Los Angeles

16,097 9,193,030 175.10 3,987 1,056,279 377.46 11,937 6,900,288 172.99 25 56,997 43.86 148 1,179,466 12.55

Merced, Ca.

Merced

642 197,836 324.51 46 9,694 474.52 593 165,688 357.90 2 2,196 91.08 1 20,258 4.94

Modesto, Ca.

Stanislaus

1,899 408,806 464.52 60 7,686 780.69 1,829 369,642 494.80 2 4,947 40.43 8 26,532 30.15

Oakland, Ca.

Alameda

3,133 957,339 327.26 318 182,565 174.18 2,747 592,593 463.56 19 7,850 242.03 49 174,331 28.11

Oakland, Ca.

Contra Costa

2,336 867,266 269.35 244 83,865 290.95 2,076 673,432 308.27 4 6,158 64.96 12 103,725 11.57

Orange County, Ca.

Orange

7,110 2,555,945 278.17 430 47,541 904.49 6,613 2,172,809 304.35 12 14,569 82.37 55 321,027 17.13

Redding, Ca.

Shasta

828 160,824 514.85 17 1,271 1,338.05 791 151,319 522.74 19 4,487 423.45 1 3,747 26.69

Riverside-San Bernardino, Ca.

Riverside

4,638 1,359,725 341.10 288 79,544 362.06 4,285 1,203,221 356.13 29 15,909 182.29 36 61,052 58.97

Riverside-San Bernardino, Ca.

San Bernardino

6,790 1,547,195 438.86 534 129,964 410.88 6,244 1,318,365 473.62 6 17,638 34.02 6 81,228 7.39

Sacramento, Ca.

El Dorado

296 145,569 203.34 4 786 508.86 290 139,484 207.91 1 1,659 60.26 1 3,654 27.37

Sacramento, Ca.

Placer

591 199,480 296.27 12 1,317 911.46 579 190,144 304.51 0 2,354 0.00 0 5,645 0.00

Sacramento, Ca.

Sacramento

3,084 1,103,670 279.43 460 108,601 423.57 2,599 851,923 305.07 11 14,568 75.51 14 128,578 10.89

Salinas, Ca.

Monterey

542 356,272 152.13 85 21,590 393.70 442 295,314 149.67 1 3,741 26.73 14 35,592 39.34

San Diego, Ca.

San Diego

9,044 2,645,313 341.89 1,827 171,945 1,062.55 7,009 2,183,441 321.01 53 23,808 222.62 155 266,118 58.24

San Francisco, Ca.

Marin

398 233,968 170.11 92 8,914 1,032.06 301 211,811 142.11 1 983 101.76 4 12,237 32.69

San Francisco, Ca.

San Francisco

1,201 738,371 162.66 461 80,113 575.44 732 400,345 182.84 4 3,840 104.18 4 254,073 1.57

San Francisco, Ca.

San Mateo

665 679,627 97.85 178 37,515 474.47 454 501,497 90.53 2 3,262 61.31 31 137,421 22.56

San Jose, Ca.

Santa Clara

3,197 1,561,614 204.72 220 59,966 366.87 2,896 1,164,808 248.62 7 10,931 64.04 74 326,065 22.69

San Luis Obispo-Atascadero, Paso Robles, Ca.

San Luis Obispo

562 224,831 249.97 12 6,250 191.99 546 207,879 262.65 3 2,631 114.05 1 8,071 12.39

Santa Barbara-Santa Maria-Lompoc, Ca.

Santa Barbara

491 382,403 128.40 35 11,740 298.13 450 344,430 130.65 3 4,627 64.84 3 21,606 13.89

Santa Cruz-Watsonville, Ca.

Santa Cruz

344 236,151 145.67 7 3,141 222.87 335 219,455 152.65 0 2,267 0.00 2 11,288 17.72

Santa Rosa, Ca.

Sonoma

1,236 412,251 299.82 72 6,349 1,134.10 1,146 386,073 296.83 16 5,236 305.60 2 14,635 13.67

Stockton-Lodi, Ca.

San Joaquin

1,283 520,771 246.37 127 30,413 417.58 1,145 406,149 281.92 4 5,833 68.58 7 78,428 8.93

Vallejo-Fairfield-Napa, Ca.

Napa

162 112,299 144.26 0 1,224 0.00 161 105,584 152.49 0 910 0.00 1 4,582 21.83

Vallejo-Fairfield-Napa, Ca.

Solano

1,562 369,430 422.81 204 51,572 395.56 1,311 254,722 514.68 6 3,842 156.17 41 59,294 69.15

Ventura, Ca.

Ventura

1,002 705,137 142.10 41 17,346 236.36 947 636,386 148.81 4 6,135 65.20 10 45,270 22.09

Visalia-Tulare-Porterville, Ca.

Tulare

773 344,978 224.07 16 5,865 272.82 753 313,344 240.31 2 6,037 33.13 2 19,767 10.12

Yolo, Ca.

Yolo

968 147,156 657.81 63 3,591 1,754.58 896 126,304 709.40 5 2,399 208.45 4 14,863 26.91

Yuba City, Ca.

Sutter

282 73,538 383.48 0 1,397 0.00 276 62,088 444.53 2 1,346 148.62 4 8,707 45.94

Yuba City, Ca.

Yuba

210 62,326 336.94 14 2,692 519.97 194 51,057 379.96 2 1,938 103.18 0 6,638 0.00

 

Notes:

TL: Total arrests.

POP: Coverage population of reporting law enforcement agencies.

RATE: Arrest Rate per 100,000 population.

Original Source: Uniform Crime Reports, 1995.

Data are total for reporting agencies. Population estimates by race are based on application of U.S. Census percentages of total population to the coverage population in which the arrests occurred. The racial categories and labels are as defined and used in the Uniform Crime Reports. Unfortunately separate data on arrests of Hispanics are not available.

The Uniform Crime Reports provides data on all drug arrests as well as data of arrests for drug possession and sales. Four categories are used to provide more specific data on arrests for different types of controlled substances: 1) Opium and Cocaine and their derivatives (such as Crack, Morphine, Heroin); 2) Marijuana; 3) Synthetic Narcotics - Manufactured Narcotics which can cause true drug addiction (such as Demerol, Methadone); 4) Other Dangerous Non-Narcotic Drugs (such as Barbiturates, Benzedrine, and Methamphetamine).

Primary Source: Chilton, Rowland, and Dee Weber. UNIFORM CRIME REPORTING PROGRAM [UNITED STATES]: ARRESTS BY AGE, SEX, AND RACE FOR POLICE AGENCIES IN METROPOLITAN STATISTICAL AREAS, 1960-1995[Computer file]. ICPSR version. Amherst, MA: University of Massachusetts [producer], 1998.Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor],1999.

Citation: Gettman, Jon B. "US Marijuana Arrests. Part Two - Racial Differences in Drug Arrests". Washington, D.C.: National Organization for the Reform of Marijuana Laws. (2000)