Upload
others
View
3
Download
0
Embed Size (px)
Citation preview
City of Rohnert ParkDistricting Overview
November 26, 2019
California Voting Rights Act (CVRA)
November 26, 2019
Under the Federal Voting Rights Act (passed in 1965), a jurisdiction must fail 4 factual tests before it is in violation of the law.
The California VRA makes it significantly easier for plaintiffs to force jurisdictions into “by-district” election systems by eliminating two of the US Supreme Court Gingles tests:1. Can the protected class constitute the majority of a district?2. Does the protected class vote as a bloc?3. Do the voters who are not in the protected class vote in a bloc to defeat the
preferred candidates of the protected class?4. Do the “totality of circumstances” indicate race is a factor in elections?
Liability is now determined only by the presence of racially polarized voting
2
CVRA Impact
Switched (or in the process of switching) as a result of CVRA: At least 202 school districts 34 Community College Districts 120 cities 1 County Board of Supervisors 15 water and other special districts.
Palmdale, Santa Clara and Santa Monica fought “on the merits.” All lost. Santa Monica and Santa Clara are appealing. Palmdale spent about $1.8 million, Santa Clara
about $800,000, and Santa Monica between $5 and $8 million, just on their defense.
Santa Monica plaintiffs requested $22 million No jurisdiction has won a case.
Key settlements: Palmdale: $4.7 million Santa Clara: $3.16 million Modesto: $3 million Highland: $1.3 million Anaheim: $1.1 million Whittier: $1 million Santa Barbara: $600,000 Tulare Hospital: $500,000 Compton Unified: $200,000 Madera Unified: about $170,000 Hanford Joint Union Schools:
$118,000 Merced City: $42,000
November 26, 2019
3
Districting Process4
November 26, 2019
Step DescriptionTwo Initial HearingsNov. 12 and Nov. 26
Held prior to release of draft maps.Education on CVRA, districting and election sequencing.
Request for public input on the communities in the District.Hearings must be within 30 days of each other
Release draft maps Maps must be posted at least 7 days prior to 3rd hearing.
Two Hearings on Draft Maps
Dec. 10 and Jan. 14
Two meetings to discuss and revise the draft mapsand to discuss the election sequencing.
Hearings must be within 45 days of each other
Introduce Ordinance and Final Adoption
Jan. 14 and Jan. 28
Map must be posted 7 days prior to adoption.
Election DayNovember 2020
First by-district election held in three districts.
Adjust Maps2021
Map adjusted using 2020 Census data
Election DayNovember 2022
First by-district election held in remaining two districts.
Districting Rules and Goals
Equal Population Federal Voting Rights
Act No Racial
Gerrymandering
Respect voters’ choices / continuity in office
Future population growth
1. Federal Laws 2. California Criteria for Cities
5
November 26, 2019
1. Geographically contiguous
2. Undivided neighborhoods and “communities of interest” (Socio-economic geographic areas that should be kept together)
3. Easily identifiable boundaries
4. Compact(Do not bypass one group of people to get to a more distant group of people)
3. Other Traditional Redistricting Principles
Category Field Count Pct Category Field Count PctTotal Pop 40,971 ACS Pop. Est. Total 42,071
Hisp 9,068 22% age0-19 9,605 23%NH White 27,141 66% age20-60 24,828 59%NH Black 995 2% age60plus 7,637 18%
Asian-American 2,619 6% immigrants 6,067 14%Total 30,993 naturalized 3,057 50%Hisp 5,364 17% english 30,211 76%
NH White 22,781 74% spanish 6,876 17%NH Black 545 2% asian-lang 1,380 3%
Asian/Pac.Isl. 1,694 6% other lang 1,124 3%
Total 21,788 Language Fluency Speaks Eng. "Less than Very Well"
3,355 8%
Latino est. 3,549 16% hs-grad 16,722 62%Spanish-Surnamed 3,189 15% bachelor 5,258 20%Asian-Surnamed 544 2% graduatedegree 2,157 8%
Filipino-Surnamed 244 1% Child in Household child-under18 4,320 27%
NH White est. 16,416 75% Pct of Pop. Age 16+
employed 22,172 64%
NH Black 382 2% income 0-25k 2,661 17%Total 15,604 income 25-50k 3,226 20%
Latino est. 2,215 14% income 50-75k 3,262 20%Spanish-Surnamed 1,990 13% income 75-200k 6,180 39%Asian-Surnamed 336 2% income 200k-plus 675 4%
Filipino-Surnamed 162 1% single family 11,231 68%NH White est. 12,142 78% multi-family 5,368 32%
NH Black 280 2% rented 7,504 47%Total 17,872 owned 8,500 53%
Latino est. 2,637 15%Spanish-Surnamed 2,369 13%Asian-Surnamed 386 2%
Filipino-Surnamed 177 1%NH White est. 13,723 77%NH Black est. 325 2%
Housing Stats
Household Income
Education (among those age
25+)
Total Pop
Immigration
Citizen Voting Age Pop
Age
Voter Registration (Nov 2018)
Voter Turnout (Nov 2018)
Voter Turnout (Nov 2016)
Rohnert Park (revised)
Language spoken at home
November 26, 2019
Demographic Summary
6
These additional fields can be used, where
appropriate, to identify “communities of
interest” if the Council decides to move to by-
district elections.
Total population data from the 2010 Decennial Census.Surname-based Voter Registration and Turnout data from the California Statewide Database.Latino voter registration and turnout data are Spanish-surname counts adjusted using Census Population Department undercount estimates. NH White and NH Black registration and turnout counts estimated by NDC. Citizen Voting Age Pop., Age, Immigration, and other demographics from the 2013-2017 American Community Survey and Special Tabulation 5-year data.
Template
____________ Demographic Template
Copy and paste/transpose the Maptitude District numbers, column titles, and full data below hereRohnert Park (revised)
DistrictDistrictTotalCategoryFieldCountPctCategoryFieldCountPct4 ideal:10,243
PopulationPopulation44840971Total Pop40,971ACS Pop. Est.Total42,0715 ideal:8,194
[Hispanic Origin][Hispanic Origin]4489068Total PopHisp9,06822%Ageage0-199,60523%
NH_WhtNH_Wht44827141NH White27,14166%age20-6024,82859%
NH_DOJ_BlkNH_DOJ_Blk448995NH Black9952%age60plus7,63718%100%
NH_DOJ_IndNH_DOJ_Ind448544Asian-American2,6196%Immigrationimmigrants6,06714%97%
NH_DOJ_AsnNH_DOJ_Asn4482619Citizen Voting Age PopTotal30,993naturalized3,05750%
NH_DOJ_HwnNH_DOJ_Hwn448265Hisp5,36417%Language spoken at homeenglish30,21176%
NH_DOJ_OthNH_DOJ_Oth44897NH White22,78174%spanish6,87617%
NH_DOJ_OthMRNH_DOJ_OthMR448242NH Black5452%asian-lang1,3803%
[18+_Pop][18+_Pop]44832400Asian/Pac.Isl.1,6946%other lang1,1243%100%98%
[H18+_Pop][H18+_Pop]4486079Voter Registration (Nov 2018)Total21,788Language FluencySpeaks Eng. "Less than Very Well"3,3558%
[NH18+_Wht][NH18+_Wht]44822747Latino est.3,54916%Education (among those age 25+)hs-grad16,72262%
[NH18+_DOJ_Blk][NH18+_DOJ_Blk]448704Spanish-Surnamed3,18915%bachelor5,25820%
[NH18+_DOJ_Ind][NH18+_DOJ_Ind]448409Asian-Surnamed5442%graduatedegree2,1578%
[NH18+_DOJ_Asn][NH18+_DOJ_Asn]4482036Filipino-Surnamed2441%Child in Householdchild-under184,32027%
[NH18+_DOJ_Hwn][NH18+_DOJ_Hwn]448190NH White est.16,41675%Pct of Pop. Age 16+employed22,17264%
[NH18+_DOJ_Oth][NH18+_DOJ_Oth]44874NH Black3822%Household Incomeincome 0-25k2,66117%97%
[NH18+_DOJ_OthMR][NH18+_DOJ_OthMR]448161Voter Turnout (Nov 2018)Total15,604income 25-50k3,22620%
st1317_m1_totst1317_m1_tot25331138.648778Latino est.2,21514%income 50-75k3,26220%
st1317_m1_hst1317_m1_h2535303.624977Spanish-Surnamed1,99013%income 75-200k6,18039%
st1317_m1_nhwst1317_m1_nhw25322946.929816Asian-Surnamed3362%income 200k-plus6754%100%
st1317_m1_nhbst1317_m1_nhb253553.309757Filipino-Surnamed1621%Housing Statssingle family11,23168%
st1317_m1_nhist1317_m1_nhi253304.012364NH White est.12,14278%multi-family5,36832%100%
st1317_m1_nhast1317_m1_nha2531666.934776NH Black2802%rented7,50447%97%
st1317_m1_nhpist1317_m1_nhpi25339.291631Voter Turnout (Nov 2016)Total17,872owned8,50053%100%
st1317_m1_nhothst1317_m1_nhoth253338.570538Latino est.2,63715%
st1317_m2_totbyaggst1317_m2_totbyagg25330993.183983Spanish-Surnamed2,36913%
st1317_m2_hst1317_m2_h2535364.033265Asian-Surnamed3862%
st1317_m2_nhwst1317_m2_nhw25322781.312443Filipino-Surnamed1771%
st1317_m2_nhbst1317_m2_nhb253545.358337NH White est.13,72377%
st1317_m2_nhist1317_m2_nhi253304.907412NH Black est.3252%97%
st1317_m2_nhast1317_m2_nha2531694.239202Total population data from the 2010 Decennial Census.
st1317_m2_nhpist1317_m2_nhpi25340Surname-based Voter Registration and Turnout data from the California Statewide Database.
st1317_m2_nhothst1317_m2_nhoth253263.333333Latino voter registration and turnout data are Spanish-surname counts adjusted using Census Population Department undercount estimates. NH White and NH Black registration and turnout counts estimated by NDC. Citizen Voting Age Pop., Age, Immigration, and other demographics from the 2013-2017 American Community Survey and Special Tabulation 5-year data.
acs1317_m1_totacs1317_m1_tot25330831.661031
acs1317_m1_hacs1317_m1_h2535006.584822
acs1317_m1_nhwacs1317_m1_nhw25322951.819273
acs1317_m1_nhbacs1317_m1_nhb253463.43439
acs1317_m1_nhiacs1317_m1_nhi253108.562392
acs1317_m1_nhaacs1317_m1_nha2531406.433833
acs1317_m1_nhpiacs1317_m1_nhpi25335.681472
acs1317_m1_nhothacs1317_m1_nhoth2531774.814634
acs1317_m1_nhothmracs1317_m1_nhothmr2531308.714874
acs1317_m2_hacs1317_m2_h2535347.877338
acs1317_m2_nhwacs1317_m2_nhw25322500.053864
acs1317_m2_blkacs1317_m2_blk253472.45043
acs1317_m2_indacs1317_m2_ind253107.604492
acs1317_m2_asnacs1317_m2_asn2531471.252308
acs1317_m2_hwnacs1317_m2_hwn25336.545455
acs1317_m2_othacs1317_m2_oth2531862.546062
acs1317_m2_othmracs1317_m2_othmr2531243.634287
acs1317_m2_totbyaggacs1317_m2_totbyagg25331179.41816
g12_reg_totg12_reg_tot26420138.979793
g12_reg_latinog12_reg_latino2642580.583292
g12_reg_asng12_reg_asn264450.190327
g12_reg_filg12_reg_fil264207.091612
g12_reg_oth_nhwhtg12_reg_oth_nhwht23116040.210484
g12_reg_oth_nhblkg12_reg_oth_nhblk231390.105223
g12_reg_ssng12_reg_ssn2642318.212623
g12_vot_totg12_vot_tot26416004.829287
g12_vot_latinog12_vot_latino2641925.768019
g12_vot_asng12_vot_asn264323.14806
g12_vot_filg12_vot_fil264151.091657
g12_vot_oth_nhwhtg12_vot_oth_nhwht23112915.033421
g12_vot_oth_nhblkg12_vot_oth_nhblk231308.22606
g12_vot_ssng12_vot_ssn2641729.973121
g14_reg_totg14_reg_tot26918273.0509
g14_reg_latinog14_reg_latino2692412.035071
g14_reg_asng14_reg_asn269388.069551
g14_reg_filg14_reg_fil269180.111294
g14_reg_oth_nhwhtg14_reg_oth_nhwht23514531.762783
g14_reg_oth_nhblkg14_reg_oth_nhblk235354.523119
g14_reg_ssng14_reg_ssn2692166.800881
g14_reg_demg14_reg_dem2699007.295848
g14_reg_repg14_reg_rep2693860.051791
g14_reg_dtsg14_reg_dts2694241.336116
g14_reg_othg14_reg_oth2691164.367145
g14_vote_totg14_vote_tot2699430.126193
g14_vote_latinog14_vote_latino269931.945835
g14_vote_asng14_vote_asn269179.702332
g14_vote_filg14_vote_fil26983.563045
g14_vote_oth_nhwhtg14_vote_oth_nhwht2357831.815426
g14_vote_oth_nhblkg14_vote_oth_nhblk235182.628942
g14_vote_ssng14_vote_ssn269837.193903
g14_vot_demg14_vot_dem2694894.648337
g14_vot_repg14_vot_rep2692409.407882
g14_vot_dtsg14_vot_dts2691656.916655
g14_vot_othg14_vot_oth269469.153319
g16_reg_totg16_reg_tot27421683.997227
g16_reg_latg16_reg_lat2743370.696392
g16_reg_asng16_reg_asn274488.034616
g16_reg_filg16_reg_fil274223.010108
g16_reg_whtg16_reg_wht23716378.743752
g16_reg_blkg16_reg_blk237390.945555
g16_reg_ssng16_reg_ssn2743027.994078
g16_reg_demg16_reg_dem27411126.882306
g16_reg_repg16_reg_rep2744229.492203
g16_reg_dtsg16_reg_dts2745103.753427
g16_reg_othg16_reg_oth2741223.869292
g16_vote_totg16_vote_tot27417871.99127
g16_vote_latg16_vote_lat2742637.067899
g16_vote_asng16_vote_asn274386.120889
g16_vote_filg16_vote_fil274177.081418
g16_vote_whtg16_vote_wht23713722.580293
g16_vote_blkg16_vote_blk237324.626782
g16_vote_ssng16_vote_ssn2742368.95438
g16_vote_demg16_vote_dem2749478.595949
g16_vote_repg16_vote_rep2743678.403754
g16_vote_dtsg16_vote_dts2743799.879095
g16_vote_othg16_vote_oth274915.112473
g18_reg_totg18_reg_tot27221787.999998
g18_reg_latg18_reg_lat2723549.448116
g18_reg_asng18_reg_asn272543.695008
g18_reg_filg18_reg_fil272244.23937
g18_reg_whtg18_reg_wht23416415.634106
g18_reg_blkg18_reg_blk234382.298744
g18_reg_ssng18_reg_ssn2723188.571923
g18_reg_demg18_reg_dem27210737.018295
g18_reg_repg18_reg_rep2724018.407188
g18_reg_dtsg18_reg_dts2725805.192982
g18_reg_othg18_reg_oth2721227.381533
g18_vote_totg18_vote_tot27215604.493647
g18_vote_latg18_vote_lat2722214.671768
g18_vote_asng18_vote_asn272335.709509
g18_vote_filg18_vote_fil272162.38927
g18_vote_whtg18_vote_wht23412142.351018
g18_vote_blkg18_vote_blk234279.562308
g18_vote_ssng18_vote_ssn2721989.503717
g18_vote_demg18_vote_dem2728220.255514
g18_vote_repg18_vote_rep2723122.499357
g18_vote_dtsg18_vote_dts2723468.242824
g18_vote_othg18_vote_oth272793.495952
blk_totpopblk_totpop25342070.792415
blk_age0_19blk_age0_192539605.401789
blk_age20_60blk_age20_6025324828.294021
blk_age60plusblk_age60plus2537637.096595
blk_age65plusblk_age65plus2535067.308453
blk_chinablk_china253347.64931
blk_filipblk_filip253512.812326
blk_japanblk_japan25399.670007
blk_koreablk_korea25396.649504
blk_vietblk_viet253237.558431
blk_mexblk_mex2538215.663199
blk_arabblk_arab253253.88592
blk_bornusblk_bornus25336003.559246
blk_immigrantblk_immigrant2536067.233092
blk_citblk_cit2533056.889117
blk_noncitblk_noncit2533010.343942
blk_pop5plusblk_pop5plus25339592.023963
blk_englishblk_english25330211.434041
blk_spanishblk_spanish2536876.429303
blk_asian_langblk_asian_lang2531380.491185
blk_other_langblk_other_lang2531123.669364
blk_eng_lvwblk_eng_lvw2533355.331278
blk_pop25plusblk_pop25plus25326803.371155
blk_nohsdegblk_nohsdeg2532666.768613
blk_hs_gradblk_hs_grad25316721.586836
blk_bachelorblk_bachelor2535257.965401
blk_graddegreeblk_graddegree2532157.050454
blk_pop3plusinschoolblk_pop3plusinschool25312647.17074
blk_inschoolprekblk_inschoolprek253433.562679
blk_inschoolk12blk_inschoolk122535602.897469
blk_inschoolcollegeblk_inschoolcollege2536610.710522
blk_pop16plusblk_pop16plus25334519.666844
blk_employedblk_employed25322171.8968
blk_veteranblk_veteran2532065.925767
blk_drivealoneblk_drivealone25316881.492549
blk_carpoolblk_carpool2532659.810797
blk_pubtransblk_pubtrans253465.70816
blk_walkblk_walk253516.582744
blk_workathomeblk_workathome253711.770797
blk_workprimsecblk_workprimsec253320.783107
blk_workconstructblk_workconstruct2531994.446448
blk_workmanufblk_workmanuf2531733.935944
blk_workwholeblk_workwhole253489.295172
blk_workretailblk_workretail2533048.596254
blk_worktransblk_worktrans253890.542203
blk_workinfoblk_workinfo253511.958916
blk_workfinanceblk_workfinance2531355.329253
blk_workprofadminblk_workprofadmin2532206.565417
blk_workeduchealthblk_workeduchealth2534675.237916
blk_workartsfoodblk_workartsfood2532924.264622
blk_workothnongovblk_workothnongov2531184.36638
blk_workgovblk_workgov253836.5751
blk_hhsblk_hhs25316003.84023
blk_famsblk_fams2539820.9447
blk_childblk_child2534320.092955
blk_pop15plusblk_pop15plus25335056.825147
blk_marriedblk_married25314232.810902
blk_separatedblk_separated253581.905133
blk_divorcedblk_divorced2534317.118751
blk_widowedblk_widowed2531626.414043
blk_nevermarriedblk_nevermarried25314298.576326
blk_hhinc0_25kblk_hhinc0_25k2532660.904965
blk_hhinc25_50kblk_hhinc25_50k2533225.992798
blk_hhinc50_75kblk_hhinc50_75k2533262.324927
blk_hhinc75_200kblk_hhinc75_200k2536179.632914
blk_hhinc200k_plusblk_hhinc200k_plus253674.984612
blk_faminc0_25kblk_faminc0_25k253883.149731
blk_faminc25_50kblk_faminc25_50k2531465.784671
blk_faminc50_75kblk_faminc50_75k2532123.949788
blk_faminc75_200kblk_faminc75_200k2534796.728174
blk_faminc200k_plusblk_faminc200k_plus253551.332363
blk_housingblk_housing25316598.696276
blk_vacantblk_vacant253594.85605
blk_occupiedblk_occupied25316003.84023
blk_rentedblk_rented2537503.678997
blk_ownedblk_owned2538500.161239
blk_singlefamilyblk_singlefamily25311230.629773
blk_multifamilyblk_multifamily2535368.066501
Existing Districts
Moreno Valley 2014 Demographic Template
DistrictDistrict12345Moreno Valley 2014 Demographics of the Existing Districts
PopulationPopulation38,81438,99638,24039,17938,136District12345Total
DeviationDeviation-9,527-9,345-10,101-9,162-10,205Total Pop38,81438,99638,24039,17938,136193,365
% Deviation% Deviation-19.71%-19.33%-20.90%-18.95%-21.11%Deviation from ideal-9,527-9,345-10,101-9,162-10,205
% Hispanic Origin% Hispanic Origin63%45%43%60%61%% Deviation-19.71%-19.33%-20.90%-18.95%-21.11%
% NH_Wht% NH_Wht14%30%23%14%13%Total Pop% Hisp63%45%43%60%61%54%
% NH_DOJ_Blk% NH_DOJ_Blk16%16%21%19%18%% NH White14%30%23%14%13%19%
% NH_DOJ_Asn% NH_DOJ_Asn5%7%10%6%5%% NH Black16%16%21%19%18%18%
% 18+_Pop% 18+_Pop66%72%69%66%65%% Asian-American5%7%10%6%5%7%
% H18+_Pop% H18+_Pop58%41%39%55%56%Voting Age Pop% Hisp58%41%39%55%56%50%
% NH18+_Wht% NH18+_Wht18%34%27%18%17%% NH White18%34%27%18%17%23%
% NH18+_DOJ_Blk% NH18+_DOJ_Blk16%16%20%19%18%% NH Black16%16%20%19%18%18%
% NH18+_DOJ_Asn% NH18+_DOJ_Asn6%7%11%7%7%% Asian-American6%7%11%7%7%7%
% st_0812_m2_totbydisagg% st_0812_m2_totbydisagg76%87%85%77%78%Citizen Voting Age Pop% Hisp50%40%32%42%43%41%
% st_0812_m2_h% st_0812_m2_h50%40%32%42%43%% NH White25%38%34%24%20%29%
% st_0812_m2_nhw% st_0812_m2_nhw25%38%34%24%20%% NH Black19%14%21%25%28%21%
% st_0812_m2_nhb% st_0812_m2_nhb19%14%21%25%28%% Asian-American4%5%10%7%6%6%
% st_0812_m2_nha% st_0812_m2_nha4%5%10%7%6%Voter Registration (Nov 2012)% Spanish-Surnamed42%30%30%40%41%36%
% g12_reg_tot% g12_reg_tot86%84%81%87%83%% Asian-Surnamed1%1%2%1%1%1%
% g12_reg_hisp% g12_reg_hisp42%30%30%40%41%% Filipino-Surnamed1%1%1%1%1%1%
% g12_reg_asn% g12_reg_asn1%1%2%1%1%Voter Turnout (Nov 2012)% Spanish-Surnamed40%26%26%37%39%33%
% g12_reg_fil% g12_reg_fil1%1%1%1%1%% Asian-Surnamed0%1%1%1%1%1%
% g12_voters_tot% g12_voters_tot48%61%60%52%45%% Filipino-Surnamed0%0%1%1%0%1%
% g12_voters_hisp% g12_voters_hisp40%26%26%37%39%Ageage0-1938%31%35%38%38%36%
% g12_voters_asn% g12_voters_asn0%1%1%1%1%age20-6053%55%55%52%54%54%
% g12_voters_fil% g12_voters_fil0%0%1%1%0%age60plus9%13%11%10%9%10%
% blk_age0_19% blk_age0_1938%31%35%38%38%Immigrationimmigrants28%21%22%25%27%25%
% blk_age20_60% blk_age20_6053%55%55%52%54%Housing Statsvacant6%8%7%11%9%8%
% blk_age60plus% blk_age60plus9%13%11%10%9%occupied94%92%93%89%91%92%
% blk_age65plus% blk_age65plus6%8%7%6%6%rented39%22%26%30%55%37%
% blk_china% blk_china0%1%1%0%0%owned55%71%67%59%36%63%
% blk_filip% blk_filip2%3%5%2%2%singlefamily85%95%87%92%62%84%
% blk_japan% blk_japan0%0%0%0%0%multifamily15%5%13%8%38%16%
% blk_korea% blk_korea0%0%1%0%0%Language spoken at homeenglish41%60%58%51%47%52%
% blk_viet% blk_viet0%0%1%3%1%spanish55%35%32%44%46%42%
% blk_mex% blk_mex61%41%36%49%49%asian-lang3%3%6%5%4%4%
% blk_arab% blk_arab0%1%1%0%1%Children at Homechild-under1851%40%45%46%48%46%
% blk_bornus% blk_bornus72%79%78%75%73%Work (percent of pop age 16+)employed52%57%60%53%49%54%
% blk_immigrant% blk_immigrant28%21%22%25%27%Commute on Public Transit1%1%1%1%1%1%
% blk_cit% blk_cit35%49%56%42%38%Household Incomehhincome0-25k26%13%11%19%31%20%
% blk_noncit% blk_noncit65%51%44%58%62%hhincome25-50k27%22%20%28%29%25%
% blk_english% blk_english41%60%58%51%47%hhincome50-75k22%19%20%24%18%21%
% blk_spanish% blk_spanish55%35%32%44%46%hhincome75-200k25%45%47%29%22%33%
% blk_asian_lang% blk_asian_lang3%3%6%5%4%hhincome200k-plus0%4%2%1%0%2%
% blk_other_lang% blk_other_lang1%2%3%1%3%Education (among those age 25+)hs-grad56%64%65%59%57%24%
% blk_eng_nvw% blk_eng_nvw23%14%13%20%22%bachelor6%13%15%10%8%61%
% blk_nohsdeg% blk_nohsdeg35%15%13%28%32%graduatedegree2%7%7%2%3%11%
% blk_hs_grad% blk_hs_grad56%64%65%59%57%Total and Voting Age population data from the 2010 Decennial Census.
% blk_bachelor% blk_bachelor6%13%15%10%8%Voter Registration and Turnout data from the California Statewide Database, Nov. 2012 data.
% blk_graddegree% blk_graddegree2%7%7%2%3%Citizen Voting Age Pop., Age, Immigration, and other demographics from the 2008-2012 American Community Survey 5-year data.
% blk_inschoolprek% blk_inschoolprek3%4%4%5%4%
% blk_inschoolk12% blk_inschoolk1278%68%72%72%76%
% blk_inschoolcollege% blk_inschoolcollege19%28%25%23%20%
% blk_employed% blk_employed52%57%60%53%49%
% blk_veteran% blk_veteran5%9%9%7%6%
% blk_drivealone% blk_drivealone39%46%47%41%37%
% blk_carpool% blk_carpool7%5%7%6%5%
% blk_pubtrans% blk_pubtrans1%1%1%1%1%
% blk_walk% blk_walk1%0%1%0%1%
% blk_workathome% blk_workathome1%1%2%1%1%
% blk_workprimsec% blk_workprimsec1%0%1%0%0%
% blk_workconstruct% blk_workconstruct6%4%4%4%4%
% blk_workmanuf% blk_workmanuf6%5%4%5%5%
% blk_workwhole% blk_workwhole2%2%2%3%2%
% blk_workretail% blk_workretail8%8%9%10%9%
% blk_worktrans% blk_worktrans4%3%4%3%4%
% blk_workinfo% blk_workinfo1%1%1%1%1%
% blk_workfinance% blk_workfinance2%3%3%2%2%
% blk_workprofadmin% blk_workprofadmin4%4%5%4%4%
% blk_workeduchealth% blk_workeduchealth10%16%16%12%9%
% blk_workartsfood% blk_workartsfood4%5%3%4%5%
% blk_workothnongov% blk_workothnongov2%2%2%3%3%
% blk_workgov% blk_workgov2%4%5%3%2%
% blk_child% blk_child51%40%45%46%48%
% blk_married% blk_married42%48%50%45%41%
% blk_separated% blk_separated4%3%3%4%4%
% blk_divorced% blk_divorced10%10%9%10%9%
% blk_widowed% blk_widowed4%4%4%4%3%
% blk_nevermarried% blk_nevermarried40%35%34%38%43%
% blk_hhinc0_25k% blk_hhinc0_25k26%13%11%19%31%
% blk_hhinc25_50k% blk_hhinc25_50k27%22%20%28%29%
% blk_hhinc50_75k% blk_hhinc50_75k22%19%20%24%18%
% blk_hhinc75_200k% blk_hhinc75_200k24%42%47%27%21%
% blk_hhinc200k_plus% blk_hhinc200k_plus0%4%2%1%0%
% blk_faminc0_25k% blk_faminc0_25k24%11%11%19%31%
% blk_faminc25_50k% blk_faminc25_50k28%23%21%27%30%
% blk_faminc50_75k% blk_faminc50_75k23%18%19%23%17%
% blk_faminc75_200k% blk_faminc75_200k25%45%47%29%22%
% blk_faminc200k_plus% blk_faminc200k_plus0%4%2%1%0%
% blk_vacant% blk_vacant6%8%7%11%9%
% blk_occupied% blk_occupied94%92%93%89%91%
% blk_rented% blk_rented39%22%26%30%55%
% blk_owned% blk_owned55%71%67%59%36%
% blk_singlefamily% blk_singlefamily85%95%87%92%62%
% blk_multifamily% blk_multifamily15%5%13%8%38%
Hispanic OriginHispanic Origin24,52017,58316,57323,33023,163
NH_WhtNH_Wht5,47111,5618,9125,5665,063
NH_DOJ_BlkNH_DOJ_Blk6,1896,4067,8857,2886,960
NH_DOJ_IndNH_DOJ_Ind202218192146155
NH_DOJ_AsnNH_DOJ_Asn1,7922,5873,9482,2102,095
NH_DOJ_HwnNH_DOJ_Hwn247180207209257
NH_DOJ_OthNH_DOJ_Oth91851468969
NH_DOJ_OthMRNH_DOJ_OthMR302376377341374
18+_Pop18+_Pop25,57727,97926,52625,97924,808
H18+_PopH18+_Pop14,89811,40910,41714,38713,898
NH18+_WhtNH18+_Wht4,5499,4477,2174,5564,094
NH18+_DOJ_BlkNH18+_DOJ_Blk4,1774,4955,3364,8434,580
NH18+_DOJ_IndNH18+_DOJ_Ind146165151101119
NH18+_DOJ_AsnNH18+_DOJ_Asn1,4162,0272,9641,7011,691
NH18+_DOJ_HwnNH18+_DOJ_Hwn166131126140167
NH18+_DOJ_OthNH18+_DOJ_Oth61601075747
NH18+_DOJ_OthMRNH18+_DOJ_OthMR164245208194212
st_0812_m2_totbydisaggst_0812_m2_totbydisagg19,32424,28122,55520,09819,450
st_0812_m2_hst_0812_m2_h9,7009,6627,2918,3678,350
st_0812_m2_nhwst_0812_m2_nhw4,8429,1727,6144,7943,968
st_0812_m2_nhbst_0812_m2_nhb3,5853,4404,8284,9605,357
st_0812_m2_nhist_0812_m2_nhi8640114054
st_0812_m2_nhast_0812_m2_nha7331,2282,1701,4911,137
st_0812_m2_nhpist_0812_m2_nhpi20289856120
st_0812_m2_nhothst_0812_m2_nhoth269659481454513
g12_reg_totg12_reg_tot16,66720,29618,19117,50616,180
g12_reg_hispg12_reg_hisp7,0476,0065,4187,0686,636
g12_reg_asng12_reg_asn87283281134200
g12_reg_filg12_reg_fil111148215201126
g12_voters_totg12_voters_tot7,97812,37110,8519,0537,287
g12_voters_hispg12_voters_hisp3,1733,2692,8373,3742,865
g12_voters_asng12_voters_asn19102874655
g12_voters_filg12_voters_fil2656747131
blk_totpopblk_totpop39,37038,50438,36938,50238,920
blk_age0_19blk_age0_1915,07512,02513,37714,65814,762
blk_age20_60blk_age20_6020,67321,29420,95120,11420,833
blk_age60plusblk_age60plus3,6225,1854,0413,7303,325
blk_age65plusblk_age65plus2,4343,1692,5392,2682,314
blk_chinablk_china6523927816631
blk_filipblk_filip6469631,792855684
blk_japanblk_japan22602210679
blk_koreablk_korea158772203120
blk_vietblk_viet39131226971267
blk_mexblk_mex23,92715,87813,72019,00019,133
blk_arabblk_arab84344361134355
blk_bornusblk_bornus28,24930,46730,01928,85728,342
blk_immigrantblk_immigrant11,1218,0378,3509,64510,578
blk_citblk_cit3,8883,9024,6884,0414,025
blk_noncitblk_noncit7,2334,1353,6625,6046,553
blk_pop5plusblk_pop5plus36,43735,91835,31235,07235,131
blk_englishblk_english15,06221,66120,35417,89316,682
blk_spanishblk_spanish20,01212,54611,47115,30316,015
blk_asian_langblk_asian_lang9341,0402,2621,6561,378
blk_other_langblk_other_lang4296711,2242201,056
blk_eng_nvwblk_eng_nvw8,4044,8584,4586,8877,856
blk_pop25plusblk_pop25plus21,03923,20722,15920,93820,104
blk_nohsdegblk_nohsdeg7,4233,4142,9325,8016,343
blk_hs_gradblk_hs_grad11,83014,95414,38712,45711,403
blk_bachelorblk_bachelor1,3663,1273,2612,1931,707
blk_graddegreeblk_graddegree4211,7131,579488651
blk_pop3plusinschoolblk_pop3plusinschool13,45112,22312,82913,30212,702
blk_inschoolprekblk_inschoolprek337498510702461
blk_inschoolk12blk_inschoolk1210,5018,2939,1749,5739,666
blk_inschoolcollegeblk_inschoolcollege2,6133,4323,1463,0272,574
blk_pop16plusblk_pop16plus27,55829,35127,64427,10026,881
blk_employedblk_employed14,41416,63116,65614,31513,055
blk_veteranblk_veteran1,4392,5532,4451,7641,577
blk_drivealoneblk_drivealone10,76813,59713,00611,0699,916
blk_carpoolblk_carpool1,9291,4242,0661,6831,283
blk_pubtransblk_pubtrans278220153211381
blk_walkblk_walk28210015991320
blk_workathomeblk_workathome304438421318358
blk_workprimsecblk_workprimsec172522084298
blk_workconstructblk_workconstruct1,6611,1641,1961,0651,090
blk_workmanufblk_workmanuf1,5361,4651,2331,4271,223
blk_workwholeblk_workwhole596458649724642
blk_workretailblk_workretail2,3322,3412,3562,5802,374
blk_worktransblk_worktrans1,0991,0181,037758996
blk_workinfoblk_workinfo199390293301241
blk_workfinanceblk_workfinance518847949476409
blk_workprofadminblk_workprofadmin1,0121,1621,4839771,023
blk_workeduchealthblk_workeduchealth2,8604,6294,2893,1752,412
blk_workartsfoodblk_workartsfood1,1291,3489301,0551,210
blk_workothnongovblk_workothnongov642708530841804
blk_workgovblk_workgov6591,0481,504895532
blk_hhsblk_hhs9,61410,74110,3239,35610,244
blk_famsblk_fams8,0748,8548,7478,0777,997
blk_childblk_child4,9164,3044,6344,2854,880
blk_pop15plusblk_pop15plus28,52929,96828,47128,07327,516
blk_marriedblk_married12,01014,49514,18712,67211,267
blk_separatedblk_separated1,2257549141,090975
blk_divorcedblk_divorced2,7732,8812,6902,6972,439
blk_widowedblk_widowed1,2451,3191,1121,070905
blk_nevermarriedblk_nevermarried11,27610,5199,56810,54511,930
blk_hhinc0_25kblk_hhinc0_25k2,5431,3621,1141,7673,139
blk_hhinc25_50kblk_hhinc25_50k2,5722,4032,0312,6263,021
blk_hhinc50_75kblk_hhinc50_75k2,1161,9992,1122,2651,870
blk_hhinc75_200kblk_hhinc75_200k2,3364,5524,8222,5662,185
blk_hhinc200k_plusblk_hhinc200k_plus4842524413228
blk_faminc0_25kblk_faminc0_25k1,9259659901,5642,447
blk_faminc25_50kblk_faminc25_50k2,2892,0011,7982,1882,401
blk_faminc50_75kblk_faminc50_75k1,8181,5921,6311,8961,344
blk_faminc75_200kblk_faminc75_200k2,0043,9484,1242,3091,776
blk_faminc200k_plusblk_faminc200k_plus3934720411928
blk_housingblk_housing10,26711,61511,11610,55511,246
blk_vacantblk_vacant6538737941,1991,003
blk_occupiedblk_occupied9,61410,74110,3239,35610,244
blk_rentedblk_rented3,9632,5202,8573,1506,182
blk_ownedblk_owned5,6528,2217,4656,2064,062
blk_singlefamilyblk_singlefamily8,69811,0489,6449,7586,985
blk_multifamilyblk_multifamily1,5695661,4727974,262
November 26, 2019
7
Latino Population
There is a concentration of Latino eligible voters in a small area north of Southwest Blvd around John Reed Elementary School and Alicia Park.
There are no large geographic concentrations of Asian Americans, Native Americans or African Americans in the City.
Neighborhoods
November 26, 2019
8
What do you consider the names and borders of the neighborhoods
of Rohnert Park?
Zoning MapNeighborhoods by Street Letter
Communities of Interest
November 26, 2019
What are “Communities of Interest” (beyond neighborhoods)?“A community of interest is a population that shares common social or economic interests that should be included within a single districtfor purposes of its effective and fair representation.” Possible examples include:
Shared demographic characteristics Such as similar levels of income, education, or linguistic isolation
School attendance areas
Areas around parks and other landmarks
Common social or economic interests, such as downtown, commercial or industrial areas
Traffic corridors
9
Sample Compact Maps
November 26, 2019
10
GlendaleUnified
Compton
Examples of highly compact maps, with nooks and jogs driven only by equal population requirements.
Sample Less-Compact Maps
November 26, 2019
11
Central Unified
Pasadena
Colorado Blvd.
Examples of maps where a desire to have all members touch downtown (Pasadena) or rural areas and attendance zones (Central), led to policy-driven but non-compact maps.
Draw a map
November 26, 2019
12
Draw a plan using the map with population totals for each “population unit” (available on
the City website).
https://www.rpcity.org/city_hall/administration/city_clerk/district_election_information
Draw a map
November 26, 2019
13
Or let Excel do the math for you.
Interactive Review Map
November 26, 2019
14
View details of Population Unit boundaries and, once they are available, details of the draft maps.
Discussion
November 26, 2019
15
Questions about process or criteria? What are the neighborhoods of the city? What are the communities of interest in the city?
Which communities of interest should be kept whole in one district?
Any questions about election sequencing?
City of Rohnert Park�Districting OverviewCalifornia Voting Rights Act (CVRA)CVRA ImpactDistricting ProcessDistricting Rules and GoalsDemographic SummaryLatino PopulationNeighborhoodsCommunities of InterestSample Compact MapsSample Less-Compact MapsDraw a mapDraw a mapInteractive Review MapDiscussion