Statistics

Totals

Filters

Statistics By Ethnicity
Ethnicity Gender Initial Applications Submitted Tentatively Eligible* Applicants Supplemental Applications Submitted Complete Applications Received
Aleut Female 0 (0.00%) 0 (0.00%) 0 (0.00%) 0 (0.00%)
Male 2 (0.01%) 2 (0.01%) 0 (0.00%) 0 (0.00%)
Nonbinary 0 (0.00%) 0 (0.00%) 0 (0.00%) 0 (0.00%)
American Indian/Native American Female 118 (0.57%) 90 (0.53%) 8 (0.36%) 8 (0.40%)
Male 143 (0.69%) 109 (0.64%) 10 (0.45%) 8 (0.40%)
Nonbinary 8 (0.04%) 7 (0.04%) 1 (0.05%) 1 (0.05%)
Asian Indian Female 106 (0.51%) 84 (0.49%) 10 (0.45%) 10 (0.50%)
Male 158 (0.76%) 119 (0.70%) 16 (0.73%) 14 (0.70%)
Nonbinary 2 (0.01%) 2 (0.01%) 0 (0.00%) 0 (0.00%)
Black/African American Female 1195 (5.77%) 951 (5.57%) 197 (8.93%) 179 (8.96%)
Male 750 (3.62%) 591 (3.46%) 108 (4.90%) 98 (4.90%)
Nonbinary 5 (0.02%) 4 (0.02%) 0 (0.00%) 0 (0.00%)
Cambodian Female 9 (0.04%) 6 (0.04%) 0 (0.00%) 0 (0.00%)
Male 2 (0.01%) 0 (0.00%) 0 (0.00%) 0 (0.00%)
Nonbinary 0 (0.00%) 0 (0.00%) 0 (0.00%) 0 (0.00%)
Chinese Female 167 (0.81%) 143 (0.84%) 28 (1.27%) 27 (1.35%)
Male 241 (1.16%) 190 (1.11%) 39 (1.77%) 35 (1.75%)
Nonbinary 4 (0.02%) 2 (0.01%) 0 (0.00%) 0 (0.00%)
Cuban Female 20 (0.10%) 15 (0.09%) 0 (0.00%) 0 (0.00%)
Male 37 (0.18%) 27 (0.16%) 3 (0.14%) 2 (0.10%)
Nonbinary 1 (0.00%) 1 (0.01%) 0 (0.00%) 0 (0.00%)
Eskimo Female 5 (0.02%) 5 (0.03%) 1 (0.05%) 1 (0.05%)
Male 2 (0.01%) 1 (0.01%) 0 (0.00%) 0 (0.00%)
Nonbinary 0 (0.00%) 0 (0.00%) 0 (0.00%) 0 (0.00%)
Filipino Female 122 (0.59%) 92 (0.54%) 13 (0.59%) 12 (0.60%)
Male 164 (0.79%) 130 (0.76%) 19 (0.86%) 18 (0.90%)
Nonbinary 3 (0.01%) 2 (0.01%) 2 (0.09%) 2 (0.10%)
Guamanian or Chamorro Female 5 (0.02%) 5 (0.03%) 1 (0.05%) 1 (0.05%)
Male 11 (0.05%) 9 (0.05%) 3 (0.14%) 2 (0.10%)
Nonbinary 0 (0.00%) 0 (0.00%) 0 (0.00%) 0 (0.00%)
Hawaiian Female 11 (0.05%) 9 (0.05%) 0 (0.00%) 0 (0.00%)
Male 14 (0.07%) 11 (0.06%) 1 (0.05%) 1 (0.05%)
Nonbinary 0 (0.00%) 0 (0.00%) 0 (0.00%) 0 (0.00%)
Japanese Female 62 (0.30%) 55 (0.32%) 7 (0.32%) 7 (0.35%)
Male 59 (0.28%) 51 (0.30%) 12 (0.54%) 11 (0.55%)
Nonbinary 1 (0.00%) 0 (0.00%) 0 (0.00%) 0 (0.00%)
Korean Female 60 (0.29%) 44 (0.26%) 6 (0.27%) 5 (0.25%)
Male 52 (0.25%) 41 (0.24%) 5 (0.23%) 4 (0.20%)
Nonbinary 0 (0.00%) 0 (0.00%) 0 (0.00%) 0 (0.00%)
Laotian Female 2 (0.01%) 0 (0.00%) 0 (0.00%) 0 (0.00%)
Male 3 (0.01%) 1 (0.01%) 0 (0.00%) 0 (0.00%)
Nonbinary 0 (0.00%) 0 (0.00%) 0 (0.00%) 0 (0.00%)
Mexican/Mexican American Female 992 (4.79%) 820 (4.80%) 106 (4.81%) 101 (5.06%)
Male 1317 (6.35%) 1063 (6.22%) 102 (4.63%) 92 (4.60%)
Nonbinary 16 (0.08%) 14 (0.08%) 2 (0.09%) 2 (0.10%)
Other Asian Group Female 82 (0.40%) 60 (0.35%) 7 (0.32%) 7 (0.35%)
Male 93 (0.45%) 70 (0.41%) 15 (0.68%) 15 (0.75%)
Nonbinary 1 (0.00%) 1 (0.01%) 0 (0.00%) 0 (0.00%)
Other Hispanic/Latino Groups Female 295 (1.42%) 227 (1.33%) 31 (1.41%) 30 (1.50%)
Male 415 (2.00%) 323 (1.89%) 31 (1.41%) 26 (1.30%)
Nonbinary 13 (0.06%) 10 (0.06%) 1 (0.05%) 0 (0.00%)
Other Pacific Islander Group Female 10 (0.05%) 8 (0.05%) 1 (0.05%) 1 (0.05%)
Male 13 (0.06%) 8 (0.05%) 3 (0.14%) 3 (0.15%)
Nonbinary 0 (0.00%) 0 (0.00%) 0 (0.00%) 0 (0.00%)
Other Racial Group Female 490 (2.36%) 400 (2.34%) 78 (3.54%) 68 (3.40%)
Male 661 (3.19%) 524 (3.07%) 51 (2.31%) 41 (2.05%)
Nonbinary 29 (0.14%) 23 (0.13%) 3 (0.14%) 3 (0.15%)
Puerto Rican Female 62 (0.30%) 50 (0.29%) 9 (0.41%) 7 (0.35%)
Male 80 (0.39%) 64 (0.37%) 8 (0.36%) 8 (0.40%)
Nonbinary 2 (0.01%) 2 (0.01%) 0 (0.00%) 0 (0.00%)
Samoan Female 7 (0.03%) 5 (0.03%) 1 (0.05%) 1 (0.05%)
Male 7 (0.03%) 5 (0.03%) 0 (0.00%) 0 (0.00%)
Nonbinary 0 (0.00%) 0 (0.00%) 0 (0.00%) 0 (0.00%)
Vietnamese Female 31 (0.15%) 25 (0.15%) 2 (0.09%) 2 (0.10%)
Male 53 (0.26%) 38 (0.22%) 7 (0.32%) 3 (0.15%)
Nonbinary 2 (0.01%) 2 (0.01%) 0 (0.00%) 0 (0.00%)
White Female 5241 (25.29%) 4441 (26.00%) 589 (26.71%) 554 (27.73%)
Male 7208 (34.78%) 6045 (35.39%) 665 (30.16%) 586 (29.33%)
Nonbinary 60 (0.29%) 54 (0.32%) 3 (0.14%) 2 (0.10%)
Statistics By Party
Party Gender Initial Applications Submitted Tentatively Eligible* Applicants Supplemental Applications Submitted Complete Applications Received
No Party Preference (Formerly known as Decline to State) Female 1157 (5.58%) 844 (4.94%) 128 (5.80%) 114 (5.71%)
Male 2238 (10.80%) 1686 (9.87%) 209 (9.48%) 186 (9.31%)
Nonbinary 39 (0.19%) 31 (0.18%) 2 (0.09%) 1 (0.05%)
American Independent Party Female 184 (0.89%) 134 (0.78%) 15 (0.68%) 14 (0.70%)
Male 271 (1.31%) 184 (1.08%) 12 (0.54%) 10 (0.50%)
Nonbinary 3 (0.01%) 2 (0.01%) 1 (0.05%) 1 (0.05%)
Democratic Party Female 5962 (28.77%) 5086 (29.78%) 796 (36.10%) 757 (37.89%)
Male 4798 (23.15%) 4039 (23.65%) 523 (23.72%) 471 (23.57%)
Nonbinary 67 (0.32%) 59 (0.35%) 9 (0.41%) 8 (0.40%)
Green Party Female 49 (0.24%) 31 (0.18%) 6 (0.27%) 6 (0.30%)
Male 68 (0.33%) 46 (0.27%) 9 (0.41%) 7 (0.35%)
Nonbinary 4 (0.02%) 3 (0.02%) 0 (0.00%) 0 (0.00%)
Libertarian Party Female 49 (0.24%) 35 (0.20%) 4 (0.18%) 3 (0.15%)
Male 232 (1.12%) 148 (0.87%) 11 (0.50%) 10 (0.50%)
Nonbinary 3 (0.01%) 3 (0.02%) 0 (0.00%) 0 (0.00%)
Peace and Freedom Party Female 14 (0.07%) 6 (0.04%) 0 (0.00%) 0 (0.00%)
Male 19 (0.09%) 9 (0.05%) 0 (0.00%) 0 (0.00%)
Nonbinary 3 (0.01%) 2 (0.01%) 0 (0.00%) 0 (0.00%)
Republican Party Female 1615 (7.79%) 1354 (7.93%) 138 (6.26%) 121 (6.06%)
Male 3725 (17.97%) 3214 (18.82%) 327 (14.83%) 277 (13.86%)
Nonbinary 26 (0.13%) 22 (0.13%) 0 (0.00%) 0 (0.00%)
Other Female 62 (0.30%) 45 (0.26%) 8 (0.36%) 6 (0.30%)
Male 134 (0.65%) 96 (0.56%) 7 (0.32%) 6 (0.30%)
Nonbinary 2 (0.01%) 2 (0.01%) 0 (0.00%) 0 (0.00%)

  • Other party includes political parties that did not qualify for registration with the Secretary of State
  • No party preference are individuals not registered with a political party


  • Statistics By Region
    Region Gender Initial Applications Submitted Tentatively Eligible* Applicants Supplemental Applications Submitted Complete Applications Received
    Bay Area Female 1947 (9.39%) 1678 (9.82%) 262 (11.88%) 246 (12.31%)
    Male 1923 (9.28%) 1608 (9.41%) 215 (9.75%) 184 (9.21%)
    Nonbinary 28 (0.14%) 24 (0.14%) 3 (0.14%) 3 (0.15%)
    Central Coastal Female 548 (2.64%) 460 (2.69%) 73 (3.31%) 67 (3.35%)
    Male 732 (3.53%) 599 (3.51%) 85 (3.85%) 77 (3.85%)
    Nonbinary 5 (0.02%) 4 (0.02%) 0 (0.00%) 0 (0.00%)
    Inland Empire Female 807 (3.89%) 648 (3.79%) 74 (3.36%) 71 (3.55%)
    Male 1315 (6.35%) 1061 (6.21%) 92 (4.17%) 80 (4.00%)
    Nonbinary 13 (0.06%) 13 (0.08%) 0 (0.00%) 0 (0.00%)
    North Central Valley and Mountain Female 1103 (5.32%) 890 (5.21%) 117 (5.31%) 104 (5.21%)
    Male 1306 (6.30%) 1070 (6.26%) 126 (5.71%) 111 (5.56%)
    Nonbinary 20 (0.10%) 17 (0.10%) 0 (0.00%) 0 (0.00%)
    North Coastal Female 79 (0.38%) 64 (0.37%) 9 (0.41%) 8 (0.40%)
    Male 103 (0.50%) 85 (0.50%) 9 (0.41%) 9 (0.45%)
    Nonbinary 1 (0.00%) 1 (0.01%) 0 (0.00%) 0 (0.00%)
    Outside California Female 15 (0.07%) 13 (0.08%) 2 (0.09%) 1 (0.05%)
    Male 25 (0.12%) 19 (0.11%) 2 (0.09%) 1 (0.05%)
    Nonbinary 0 (0.00%) 0 (0.00%) 0 (0.00%) 0 (0.00%)
    Southern Central Valley and Mountain Female 833 (4.02%) 663 (3.88%) 74 (3.36%) 73 (3.65%)
    Male 1229 (5.93%) 990 (5.80%) 104 (4.72%) 88 (4.40%)
    Nonbinary 10 (0.05%) 9 (0.05%) 0 (0.00%) 0 (0.00%)
    Southern Coastal Female 3760 (18.14%) 3119 (18.26%) 484 (21.95%) 451 (22.57%)
    Male 4852 (23.41%) 3990 (23.36%) 465 (21.09%) 417 (20.87%)
    Nonbinary 70 (0.34%) 56 (0.33%) 9 (0.41%) 7 (0.35%)
    Statistics By County
    County Gender Initial Applications Submitted Tentatively Eligible* Applicants Supplemental Applications Submitted Complete Applications Received
    Alameda (Bay Area) Female 608 (2.93%) 517 (3.03%) 93 (4.22%) 88 (4.40%)
    Male 510 (2.46%) 427 (2.50%) 65 (2.95%) 55 (2.75%)
    Nonbinary 12 (0.06%) 10 (0.06%) 1 (0.05%) 1 (0.05%)
    Alpine (Southern Central Valley and Mountain) Female 3 (0.01%) 2 (0.01%) 0 (0.00%) 0 (0.00%)
    Male 0 (0.00%) 0 (0.00%) 0 (0.00%) 0 (0.00%)
    Nonbinary 0 (0.00%) 0 (0.00%) 0 (0.00%) 0 (0.00%)
    Amador (Southern Central Valley and Mountain) Female 17 (0.08%) 14 (0.08%) 0 (0.00%) 0 (0.00%)
    Male 23 (0.11%) 18 (0.11%) 0 (0.00%) 0 (0.00%)
    Nonbinary 0 (0.00%) 0 (0.00%) 0 (0.00%) 0 (0.00%)
    Butte (North Central Valley and Mountain) Female 62 (0.30%) 51 (0.30%) 6 (0.27%) 6 (0.30%)
    Male 72 (0.35%) 61 (0.36%) 5 (0.23%) 4 (0.20%)
    Nonbinary 0 (0.00%) 0 (0.00%) 0 (0.00%) 0 (0.00%)
    Calaveras (Southern Central Valley and Mountain) Female 21 (0.10%) 17 (0.10%) 4 (0.18%) 4 (0.20%)
    Male 27 (0.13%) 22 (0.13%) 2 (0.09%) 2 (0.10%)
    Nonbinary 0 (0.00%) 0 (0.00%) 0 (0.00%) 0 (0.00%)
    Colusa (North Central Valley and Mountain) Female 4 (0.02%) 3 (0.02%) 1 (0.05%) 1 (0.05%)
    Male 6 (0.03%) 6 (0.04%) 0 (0.00%) 0 (0.00%)
    Nonbinary 0 (0.00%) 0 (0.00%) 0 (0.00%) 0 (0.00%)
    Contra Costa (Bay Area) Female 359 (1.73%) 317 (1.86%) 45 (2.04%) 42 (2.10%)
    Male 387 (1.87%) 318 (1.86%) 48 (2.18%) 40 (2.00%)
    Nonbinary 4 (0.02%) 4 (0.02%) 0 (0.00%) 0 (0.00%)
    Del Norte (North Coastal) Female 9 (0.04%) 8 (0.05%) 1 (0.05%) 1 (0.05%)
    Male 14 (0.07%) 11 (0.06%) 2 (0.09%) 2 (0.10%)
    Nonbinary 0 (0.00%) 0 (0.00%) 0 (0.00%) 0 (0.00%)
    El Dorado (Southern Central Valley and Mountain) Female 65 (0.31%) 52 (0.30%) 5 (0.23%) 5 (0.25%)
    Male 121 (0.58%) 98 (0.57%) 11 (0.50%) 11 (0.55%)
    Nonbinary 0 (0.00%) 0 (0.00%) 0 (0.00%) 0 (0.00%)
    Fresno (Southern Central Valley and Mountain) Female 196 (0.95%) 156 (0.91%) 26 (1.18%) 25 (1.25%)
    Male 268 (1.29%) 215 (1.26%) 29 (1.32%) 27 (1.35%)
    Nonbinary 2 (0.01%) 1 (0.01%) 0 (0.00%) 0 (0.00%)
    Glenn (North Central Valley and Mountain) Female 8 (0.04%) 5 (0.03%) 0 (0.00%) 0 (0.00%)
    Male 5 (0.02%) 3 (0.02%) 0 (0.00%) 0 (0.00%)
    Nonbinary 0 (0.00%) 0 (0.00%) 0 (0.00%) 0 (0.00%)
    Humboldt (North Coastal) Female 34 (0.16%) 28 (0.16%) 2 (0.09%) 2 (0.10%)
    Male 39 (0.19%) 33 (0.19%) 4 (0.18%) 4 (0.20%)
    Nonbinary 0 (0.00%) 0 (0.00%) 0 (0.00%) 0 (0.00%)
    Imperial (Inland Empire) Female 12 (0.06%) 8 (0.05%) 2 (0.09%) 2 (0.10%)
    Male 20 (0.10%) 15 (0.09%) 2 (0.09%) 2 (0.10%)
    Nonbinary 0 (0.00%) 0 (0.00%) 0 (0.00%) 0 (0.00%)
    Inyo (Southern Central Valley and Mountain) Female 5 (0.02%) 5 (0.03%) 1 (0.05%) 1 (0.05%)
    Male 6 (0.03%) 4 (0.02%) 1 (0.05%) 1 (0.05%)
    Nonbinary 0 (0.00%) 0 (0.00%) 0 (0.00%) 0 (0.00%)
    Kern (Southern Central Valley and Mountain) Female 138 (0.67%) 108 (0.63%) 13 (0.59%) 13 (0.65%)
    Male 203 (0.98%) 170 (1.00%) 15 (0.68%) 11 (0.55%)
    Nonbinary 2 (0.01%) 2 (0.01%) 0 (0.00%) 0 (0.00%)
    Kings (Southern Central Valley and Mountain) Female 17 (0.08%) 14 (0.08%) 2 (0.09%) 2 (0.10%)
    Male 33 (0.16%) 26 (0.15%) 0 (0.00%) 0 (0.00%)
    Nonbinary 0 (0.00%) 0 (0.00%) 0 (0.00%) 0 (0.00%)
    Lake (North Coastal) Female 10 (0.05%) 10 (0.06%) 0 (0.00%) 0 (0.00%)
    Male 23 (0.11%) 19 (0.11%) 1 (0.05%) 1 (0.05%)
    Nonbinary 0 (0.00%) 0 (0.00%) 0 (0.00%) 0 (0.00%)
    Lassen (North Central Valley and Mountain) Female 3 (0.01%) 2 (0.01%) 0 (0.00%) 0 (0.00%)
    Male 7 (0.03%) 5 (0.03%) 0 (0.00%) 0 (0.00%)
    Nonbinary 0 (0.00%) 0 (0.00%) 0 (0.00%) 0 (0.00%)
    Los Angeles (Southern Coastal) Female 2274 (10.97%) 1886 (11.04%) 326 (14.78%) 303 (15.17%)
    Male 2639 (12.73%) 2148 (12.58%) 268 (12.15%) 241 (12.06%)
    Nonbinary 40 (0.19%) 31 (0.18%) 5 (0.23%) 4 (0.20%)
    Madera (Southern Central Valley and Mountain) Female 22 (0.11%) 17 (0.10%) 1 (0.05%) 1 (0.05%)
    Male 42 (0.20%) 37 (0.22%) 4 (0.18%) 2 (0.10%)
    Nonbinary 0 (0.00%) 0 (0.00%) 0 (0.00%) 0 (0.00%)
    Marin (Bay Area) Female 119 (0.57%) 102 (0.60%) 13 (0.59%) 12 (0.60%)
    Male 88 (0.42%) 80 (0.47%) 10 (0.45%) 8 (0.40%)
    Nonbinary 1 (0.00%) 1 (0.01%) 0 (0.00%) 0 (0.00%)
    Mariposa (Southern Central Valley and Mountain) Female 9 (0.04%) 8 (0.05%) 2 (0.09%) 2 (0.10%)
    Male 10 (0.05%) 9 (0.05%) 1 (0.05%) 1 (0.05%)
    Nonbinary 0 (0.00%) 0 (0.00%) 0 (0.00%) 0 (0.00%)
    Mendocino (North Coastal) Female 26 (0.13%) 18 (0.11%) 6 (0.27%) 5 (0.25%)
    Male 27 (0.13%) 22 (0.13%) 2 (0.09%) 2 (0.10%)
    Nonbinary 1 (0.00%) 1 (0.01%) 0 (0.00%) 0 (0.00%)
    Merced (Southern Central Valley and Mountain) Female 27 (0.13%) 21 (0.12%) 1 (0.05%) 1 (0.05%)
    Male 56 (0.27%) 39 (0.23%) 2 (0.09%) 2 (0.10%)
    Nonbinary 1 (0.00%) 1 (0.01%) 0 (0.00%) 0 (0.00%)
    Modoc (North Central Valley and Mountain) Female 0 (0.00%) 0 (0.00%) 0 (0.00%) 0 (0.00%)
    Male 2 (0.01%) 2 (0.01%) 0 (0.00%) 0 (0.00%)
    Nonbinary 0 (0.00%) 0 (0.00%) 0 (0.00%) 0 (0.00%)
    Mono (Southern Central Valley and Mountain) Female 4 (0.02%) 3 (0.02%) 0 (0.00%) 0 (0.00%)
    Male 3 (0.01%) 3 (0.02%) 1 (0.05%) 1 (0.05%)
    Nonbinary 0 (0.00%) 0 (0.00%) 0 (0.00%) 0 (0.00%)
    Monterey (Central Coastal) Female 75 (0.36%) 61 (0.36%) 9 (0.41%) 9 (0.45%)
    Male 81 (0.39%) 61 (0.36%) 9 (0.41%) 6 (0.30%)
    Nonbinary 2 (0.01%) 2 (0.01%) 0 (0.00%) 0 (0.00%)
    Napa (Bay Area) Female 37 (0.18%) 32 (0.19%) 3 (0.14%) 3 (0.15%)
    Male 39 (0.19%) 32 (0.19%) 3 (0.14%) 2 (0.10%)
    Nonbinary 0 (0.00%) 0 (0.00%) 0 (0.00%) 0 (0.00%)
    Nevada (North Central Valley and Mountain) Female 29 (0.14%) 23 (0.13%) 4 (0.18%) 4 (0.20%)
    Male 47 (0.23%) 35 (0.20%) 7 (0.32%) 5 (0.25%)
    Nonbinary 1 (0.00%) 1 (0.01%) 0 (0.00%) 0 (0.00%)
    Orange (Southern Coastal) Female 552 (2.66%) 454 (2.66%) 44 (2.00%) 39 (1.95%)
    Male 876 (4.23%) 726 (4.25%) 75 (3.40%) 60 (3.00%)
    Nonbinary 14 (0.07%) 11 (0.06%) 1 (0.05%) 1 (0.05%)
    Outside California (Outside California) Female 15 (0.07%) 13 (0.08%) 2 (0.09%) 1 (0.05%)
    Male 25 (0.12%) 19 (0.11%) 2 (0.09%) 1 (0.05%)
    Nonbinary 0 (0.00%) 0 (0.00%) 0 (0.00%) 0 (0.00%)
    Placer (North Central Valley and Mountain) Female 128 (0.62%) 113 (0.66%) 16 (0.73%) 15 (0.75%)
    Male 206 (0.99%) 179 (1.05%) 23 (1.04%) 20 (1.00%)
    Nonbinary 1 (0.00%) 1 (0.01%) 0 (0.00%) 0 (0.00%)
    Plumas (North Central Valley and Mountain) Female 10 (0.05%) 8 (0.05%) 0 (0.00%) 0 (0.00%)
    Male 7 (0.03%) 6 (0.04%) 0 (0.00%) 0 (0.00%)
    Nonbinary 0 (0.00%) 0 (0.00%) 0 (0.00%) 0 (0.00%)
    Riverside (Inland Empire) Female 433 (2.09%) 358 (2.10%) 37 (1.68%) 37 (1.85%)
    Male 712 (3.44%) 590 (3.45%) 49 (2.22%) 43 (2.15%)
    Nonbinary 9 (0.04%) 9 (0.05%) 0 (0.00%) 0 (0.00%)
    Sacramento (North Central Valley and Mountain) Female 658 (3.18%) 529 (3.10%) 75 (3.40%) 67 (3.35%)
    Male 695 (3.35%) 568 (3.33%) 67 (3.04%) 60 (3.00%)
    Nonbinary 12 (0.06%) 10 (0.06%) 0 (0.00%) 0 (0.00%)
    San Benito (Central Coastal) Female 10 (0.05%) 8 (0.05%) 3 (0.14%) 3 (0.15%)
    Male 12 (0.06%) 11 (0.06%) 0 (0.00%) 0 (0.00%)
    Nonbinary 0 (0.00%) 0 (0.00%) 0 (0.00%) 0 (0.00%)
    San Bernardino (Inland Empire) Female 362 (1.75%) 282 (1.65%) 35 (1.59%) 32 (1.60%)
    Male 583 (2.81%) 456 (2.67%) 41 (1.86%) 35 (1.75%)
    Nonbinary 4 (0.02%) 4 (0.02%) 0 (0.00%) 0 (0.00%)
    San Diego (Southern Coastal) Female 744 (3.59%) 626 (3.66%) 89 (4.04%) 86 (4.30%)
    Male 1070 (5.16%) 892 (5.22%) 95 (4.31%) 91 (4.55%)
    Nonbinary 13 (0.06%) 11 (0.06%) 3 (0.14%) 2 (0.10%)
    San Francisco (Bay Area) Female 336 (1.62%) 295 (1.73%) 46 (2.09%) 44 (2.20%)
    Male 385 (1.86%) 313 (1.83%) 42 (1.90%) 37 (1.85%)
    Nonbinary 6 (0.03%) 5 (0.03%) 1 (0.05%) 1 (0.05%)
    San Joaquin (Southern Central Valley and Mountain) Female 130 (0.63%) 99 (0.58%) 13 (0.59%) 13 (0.65%)
    Male 193 (0.93%) 156 (0.91%) 21 (0.95%) 19 (0.95%)
    Nonbinary 3 (0.01%) 3 (0.02%) 0 (0.00%) 0 (0.00%)
    San Luis Obispo (Central Coastal) Female 86 (0.41%) 73 (0.43%) 12 (0.54%) 11 (0.55%)
    Male 97 (0.47%) 85 (0.50%) 9 (0.41%) 8 (0.40%)
    Nonbinary 0 (0.00%) 0 (0.00%) 0 (0.00%) 0 (0.00%)
    San Mateo (Bay Area) Female 185 (0.89%) 161 (0.94%) 25 (1.13%) 23 (1.15%)
    Male 165 (0.80%) 137 (0.80%) 19 (0.86%) 17 (0.85%)
    Nonbinary 0 (0.00%) 0 (0.00%) 0 (0.00%) 0 (0.00%)
    Santa Barbara (Central Coastal) Female 88 (0.42%) 71 (0.42%) 12 (0.54%) 10 (0.50%)
    Male 123 (0.59%) 101 (0.59%) 12 (0.54%) 12 (0.60%)
    Nonbinary 2 (0.01%) 1 (0.01%) 0 (0.00%) 0 (0.00%)
    Santa Clara (Central Coastal) Female 289 (1.39%) 247 (1.45%) 37 (1.68%) 34 (1.70%)
    Male 419 (2.02%) 341 (2.00%) 55 (2.49%) 51 (2.55%)
    Nonbinary 1 (0.00%) 1 (0.01%) 0 (0.00%) 0 (0.00%)
    Santa Cruz (Bay Area) Female 69 (0.33%) 58 (0.34%) 11 (0.50%) 11 (0.55%)
    Male 74 (0.36%) 66 (0.39%) 9 (0.41%) 9 (0.45%)
    Nonbinary 2 (0.01%) 1 (0.01%) 1 (0.05%) 1 (0.05%)
    Shasta (North Central Valley and Mountain) Female 39 (0.19%) 31 (0.18%) 3 (0.14%) 2 (0.10%)
    Male 60 (0.29%) 49 (0.29%) 0 (0.00%) 0 (0.00%)
    Nonbinary 2 (0.01%) 1 (0.01%) 0 (0.00%) 0 (0.00%)
    Sierra (North Central Valley and Mountain) Female 1 (0.00%) 1 (0.01%) 1 (0.05%) 1 (0.05%)
    Male 1 (0.00%) 1 (0.01%) 0 (0.00%) 0 (0.00%)
    Nonbinary 0 (0.00%) 0 (0.00%) 0 (0.00%) 0 (0.00%)
    Siskiyou (North Central Valley and Mountain) Female 15 (0.07%) 12 (0.07%) 1 (0.05%) 1 (0.05%)
    Male 20 (0.10%) 14 (0.08%) 1 (0.05%) 1 (0.05%)
    Nonbinary 0 (0.00%) 0 (0.00%) 0 (0.00%) 0 (0.00%)
    Solano (Bay Area) Female 116 (0.56%) 99 (0.58%) 14 (0.63%) 12 (0.60%)
    Male 141 (0.68%) 121 (0.71%) 9 (0.41%) 7 (0.35%)
    Nonbinary 0 (0.00%) 0 (0.00%) 0 (0.00%) 0 (0.00%)
    Sonoma (Bay Area) Female 118 (0.57%) 97 (0.57%) 12 (0.54%) 11 (0.55%)
    Male 134 (0.65%) 114 (0.67%) 10 (0.45%) 9 (0.45%)
    Nonbinary 3 (0.01%) 3 (0.02%) 0 (0.00%) 0 (0.00%)
    Stanislaus (Southern Central Valley and Mountain) Female 98 (0.47%) 80 (0.47%) 4 (0.18%) 4 (0.20%)
    Male 105 (0.51%) 84 (0.49%) 8 (0.36%) 6 (0.30%)
    Nonbinary 0 (0.00%) 0 (0.00%) 0 (0.00%) 0 (0.00%)
    Sutter (North Central Valley and Mountain) Female 23 (0.11%) 17 (0.10%) 1 (0.05%) 1 (0.05%)
    Male 32 (0.15%) 27 (0.16%) 3 (0.14%) 3 (0.15%)
    Nonbinary 0 (0.00%) 0 (0.00%) 0 (0.00%) 0 (0.00%)
    Tehama (North Central Valley and Mountain) Female 20 (0.10%) 18 (0.11%) 1 (0.05%) 1 (0.05%)
    Male 20 (0.10%) 16 (0.09%) 2 (0.09%) 1 (0.05%)
    Nonbinary 0 (0.00%) 0 (0.00%) 0 (0.00%) 0 (0.00%)
    Trinity (North Central Valley and Mountain) Female 3 (0.01%) 3 (0.02%) 1 (0.05%) 0 (0.00%)
    Male 8 (0.04%) 7 (0.04%) 1 (0.05%) 1 (0.05%)
    Nonbinary 0 (0.00%) 0 (0.00%) 0 (0.00%) 0 (0.00%)
    Tulare (Southern Central Valley and Mountain) Female 60 (0.29%) 51 (0.30%) 1 (0.05%) 1 (0.05%)
    Male 117 (0.56%) 91 (0.53%) 7 (0.32%) 4 (0.20%)
    Nonbinary 2 (0.01%) 2 (0.01%) 0 (0.00%) 0 (0.00%)
    Tuolumne (Southern Central Valley and Mountain) Female 21 (0.10%) 16 (0.09%) 1 (0.05%) 1 (0.05%)
    Male 22 (0.11%) 18 (0.11%) 2 (0.09%) 1 (0.05%)
    Nonbinary 0 (0.00%) 0 (0.00%) 0 (0.00%) 0 (0.00%)
    Ventura (Southern Coastal) Female 190 (0.92%) 153 (0.90%) 25 (1.13%) 23 (1.15%)
    Male 267 (1.29%) 224 (1.31%) 27 (1.22%) 25 (1.25%)
    Nonbinary 3 (0.01%) 3 (0.02%) 0 (0.00%) 0 (0.00%)
    Yolo (North Central Valley and Mountain) Female 85 (0.41%) 64 (0.37%) 7 (0.32%) 5 (0.25%)
    Male 94 (0.45%) 72 (0.42%) 17 (0.77%) 16 (0.80%)
    Nonbinary 4 (0.02%) 4 (0.02%) 0 (0.00%) 0 (0.00%)
    Yuba (North Central Valley and Mountain) Female 15 (0.07%) 10 (0.06%) 0 (0.00%) 0 (0.00%)
    Male 24 (0.12%) 19 (0.11%) 0 (0.00%) 0 (0.00%)
    Nonbinary 0 (0.00%) 0 (0.00%) 0 (0.00%) 0 (0.00%)

    * Based on the information provided by the applicants, these applicants now appear eligible to move forward to the next phase of the application process. The accuracy of the information provided by each applicant and each applicant's eligibility to serve as a commissioner is subject to independent verification by the California State Auditor and Applicant Review Panel staff throughout all phases of the application process.