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California Other Non-Narcotics Possession

California Metropolitan Area Counties
1995 Other Non-Narcotic Drug Sales 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.

13,505 29,497,784 45.78 696 2,269,360 30.67 12,587 23,483,126 53.60 50 257,667 19.40 172 3,487,848 4.93

Bakersfield, Ca.

Kern

293 406,085 72.15 6 26,152 22.94 282 355,040 79.43 0 7,147 0.00 5 17,746 28.18

Chico-Paradise, Ca.

Butte

60 191,539 31.33 1 2,739 36.51 59 177,978 33.15 0 3,754 0.00 0 7,068 0.00

Fresno, Ca.

Fresno

354 720,406 49.14 9 37,965 23.71 343 598,225 57.34 1 9,221 10.84 1 74,994 1.33

Fresno, Ca.

Madera

24 105,451 22.76 0 3,596 0.00 24 97,806 24.54 0 2,077 0.00 0 1,982 0.00

Los Angeles-Long Beach, Ca.

Los Angeles

2,379 9,125,012 26.07 225 1,048,464 21.46 2,130 6,849,234 31.10 3 56,575 5.30 21 1,170,739 1.79

Merced, Ca.

Merced

120 170,305 70.46 1 8,345 11.98 115 142,630 80.63 0 1,890 0.00 4 17,439 22.94

Modesto, Ca.

Stanislaus

257 408,806 62.87 1 7,686 13.01 251 369,642 67.90 2 4,947 40.43 3 26,532 11.31

Oakland, Ca.

Alameda

382 945,700 40.39 19 180,345 10.54 355 585,388 60.64 0 7,755 0.00 8 172,212 4.65

Oakland, Ca.

Contra Costa

493 817,881 60.28 40 79,089 50.58 453 635,085 71.33 0 5,807 0.00 0 97,819 0.00

Orange County, Ca.

Orange

1,163 2,539,857 45.79 18 47,241 38.10 1,123 2,159,132 52.01 4 14,477 27.63 18 319,006 5.64

Redding, Ca.

Shasta

293 160,824 182.19 8 1,271 629.67 275 151,319 181.73 9 4,487 200.58 1 3,747 26.69

Riverside-San Bernardino, Ca.

Riverside

875 1,333,110 65.64 38 77,987 48.73 819 1,179,669 69.43 8 15,597 51.29 10 59,857 16.71

Riverside-San Bernardino, Ca.

San Bernardino

1,562 1,535,514 101.72 69 128,983 53.50 1,487 1,308,412 113.65 4 17,505 22.85 2 80,614 2.48

Sacramento, Ca.

El Dorado

72 145,569 49.46 0 786 0.00 72 139,484 51.62 0 1,659 0.00 0 3,654 0.00

Sacramento, Ca.

Placer

122 191,385 63.75 3 1,263 237.50 118 182,428 64.68 0 2,258 0.00 1 5,416 18.46

Sacramento, Ca.

Sacramento

681 1,102,826 61.75 45 108,518 41.47 631 851,271 74.12 1 14,557 6.87 4 128,479 3.11

Salinas, Ca.

Monterey

34 310,794 10.94 0 18,834 0.00 31 257,617 12.03 0 3,263 0.00 3 31,048 9.66

San Diego, Ca.

San Diego

1,679 2,645,313 63.47 115 171,945 66.88 1,507 2,183,441 69.02 13 23,808 54.60 44 266,118 16.53

San Francisco, Ca.

Marin

30 204,449 14.67 1 7,790 12.84 29 185,088 15.67 0 859 0.00 0 10,693 0.00

San Francisco, Ca.

San Francisco

283 738,371 38.33 42 80,113 52.43 241 400,345 60.20 0 3,840 0.00 0 254,073 0.00

San Francisco, Ca.

San Mateo

85 641,600 13.25 2 35,416 5.65 78 473,437 16.48 0 3,080 0.00 5 129,732 3.85

San Jose, Ca.

Santa Clara

674 1,553,916 43.37 16 59,670 26.81 631 1,159,066 54.44 2 10,877 18.39 25 324,458 7.71

San Luis Obispo-Atascadero, Paso Robles, Ca.

San Luis Obispo

91 224,831 40.47 1 6,250 16.00 90 207,879 43.29 0 2,631 0.00 0 8,071 0.00

Santa Barbara-Santa Maria-Lompoc, Ca.

Santa Barbara

107 368,678 29.02 0 11,318 0.00 106 332,068 31.92 0 4,461 0.00 1 20,830 4.80

Santa Cruz-Watsonville, Ca.

Santa Cruz

36 216,399 16.64 0 2,878 0.00 35 201,100 17.40 0 2,077 0.00 1 10,344 9.67

Santa Rosa, Ca.

Sonoma

196 404,012 48.51 9 6,222 144.65 186 378,357 49.16 1 5,131 19.49 0 14,342 0.00

Stockton-Lodi, Ca.

San Joaquin

291 520,771 55.88 3 30,413 9.86 287 406,149 70.66 1 5,833 17.14 0 78,428 0.00

Vallejo-Fairfield-Napa, Ca.

Napa

45 106,979 42.06 1 1,166 85.76 44 100,582 43.75 0 867 0.00 0 4,365 0.00

Vallejo-Fairfield-Napa, Ca.

Solano

169 330,305 51.16 12 46,111 26.02 148 227,745 64.98 0 3,435 0.00 9 53,014 16.98

Ventura, Ca.

Ventura

184 705,137 26.09 3 17,346 17.29 178 636,386 27.97 0 6,135 0.00 3 45,270 6.63

Visalia-Tulare-Porterville, Ca.

Tulare

247 344,978 71.60 4 5,865 68.21 241 313,344 76.91 1 6,037 16.56 1 19,767 5.06

Yolo, Ca.

Yolo

84 147,156 57.08 4 3,591 111.40 80 126,304 63.34 0 2,399 0.00 0 14,863 0.00

Yuba City, Ca.

Sutter

91 73,538 123.75 0 1,397 0.00 89 62,088 143.34 0 1,346 0.00 2 8,707 22.97

Yuba City, Ca.

Yuba

49 60,286 81.28 0 2,604 0.00 49 49,386 99.22 0 1,875 0.00 0 6,420 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)