Auto-Redistrict

"One vote, one bit."
This page was generated on 2016.07.12 by Auto-Redistrict.

VTD district assignments


vtd_data.txt (tab-delimited)
vtd_data.dbf (dbase/ESRI)


Maps (click to enlarge)


Districts

Labeled districts

Unlabeled districts
Geometry

Population difference

Compactness

Splits
Fairness - by district

Partisan vote packing

Racial vote packing

District vote balance

District demographics
Fairness - by density

Partisan vote packing

Racial vote packing

District vote balance

District demographics
VTDs

VTD vote balance

VTD demographics

VTD vote balance
(density)

VTD demographics
(density)

Seats / votes curve - Vote packing



Summary

Value Measure
0.3414902206898285 Compactness (isoperimetric quotient)
1,363 Disconnected population (count)
2.003266012 Population max deviation (%)
0.382880290 Population mean deviation (%)
64 County splits
0.013403990 Seats / vote asymmetry
4,587.604682915 Packing/cracking asymmetry (%)
718,789 Competitiveness (victory margin)
0.187157107 Disproporionality
0.099559612 Racial vote dilution
10.397524967 Efficiency gap (pct)
1.663603995 Adj. efficiency gap (seats)
1,759,117 Undescribed voters
1.0 FV Safe D
3.0 FV Lean D
8.0 FV Tossup
2.0 FV Lean R
2.0 FV Safe R
0.673794700 Mutation rate (%)
33.000000000 Elitism (%)
0 Generation (count)


By party

Party Delegates Pop. vote Wasted votes % del % pop vote
PRES12_D50 6 2,690,949 1631908 0.375 0.49796544598360404
PRES12_R50 10 2,712,938 1070039 0.625 0.502034554016396


By district

District Population Winner PVI Vote gap Wasted votes FV Safe D FV Lean D FV Tossup FV Lean R FV Safe R Pop per seats Compactness Area Paired edge length Unpaired edge length PRES12_D50 vote % PRES12_R50 vote % PRES12_D50 votes PRES12_R50 votes VAP_WHITE % VAP_BLACK % VAP_HISPAN % VAP_ASIAN % VAP_HAWAII % VAP_INDIAN % VAP_MULTI % VAP_OTHER % VAP_WHITE pop VAP_BLACK pop VAP_HISPAN pop VAP_ASIAN pop VAP_HAWAII pop VAP_INDIAN pop VAP_MULTI pop VAP_OTHER pop
1 724,145 0,1, R+8 52942 171156 0.0 0.0 0.0 1.0 0.0 724,145 0.3495984183433202 2.502670979580787E11 2605377.381551947 525250.1743918164 0.42266996190609735 0.5773300380939026 144,685 197,627 0.809963664 0.133659171 0.020309911 0.022242968 0.000318515 0.001762816 0.011001583 0.000741371 442,471 73,016 11,095 12,151 174 963 6,010 405
2 721,544 1,0, D+5 32114 166995 0.0 1.0 0.0 0.0 0.0 721,544 0.6251515167585271 7.875098025422504E11 2415435.830852661 2084340.9593124478 0.5480762897092727 0.45192371029072725 183,052 150,938 0.882225739 0.075989435 0.025012919 0.005959744 0.000156646 0.001654684 0.008559705 0.000441129 489,982 42,204 13,892 3,310 87 919 4,754 245
3 721,352 1,0, D+3 19110 175434 0.0 0.0 1.0 0.0 0.0 721,352 0.2734926961087408 1.586897914379427E11 2700266.0765277073 0.0 0.5272324634905434 0.4727675365094565 184,989 165,879 0.856727003 0.099595827 0.012683412 0.017889891 0.000200387 0.001737282 0.010473790 0.000692408 478,841 55,666 7,089 9,999 112 971 5,854 387
4 720,743 0,1, R+1 8433 164765 0.0 0.0 1.0 0.0 0.0 720,743 0.3231937340157499 6.317998506007284E11 3983461.3322363864 1297204.0359503224 0.4872044645539543 0.5127955354460457 160,548 168,981 0.918483740 0.053253692 0.012400596 0.004680844 0.000179281 0.001801690 0.008685388 0.000514769 517,437 30,001 6,986 2,637 101 1,015 4,893 290
5 719,006 0,1, R+2 10982 147918 0.0 0.0 1.0 0.0 0.0 719,006 0.3327094277782857 1.1454463468794429E12 4979265.37312265 2130957.2352191005 0.48143904054949366 0.5185609594505064 142,427 153,409 0.867639302 0.096585536 0.013162595 0.006951449 0.000207285 0.003075961 0.011719003 0.000658870 468,802 52,187 7,112 3,756 112 1,662 6,332 356
6 728,949 1,0, D+7 50783 183155 0.0 1.0 0.0 0.0 0.0 728,949 0.3123706394028791 1.7561569005467014E11 2657978.636599744 0.0 0.5693171611945106 0.43068283880548935 208,546 157,763 0.712953315 0.204651214 0.033348426 0.030169788 0.000445519 0.001971192 0.015053071 0.001407475 392,068 112,542 18,339 16,591 245 1,084 8,278 774
7 720,618 0,1, R+7 41410 146810 0.0 0.0 0.0 1.0 0.0 720,618 0.311693570488326 1.509454180140709E12 6138814.728752676 2216263.778634349 0.4294836863973844 0.5705163136026157 126,105 167,515 0.956491389 0.016102585 0.008363964 0.006455213 0.000236322 0.002094172 0.009736447 0.000519907 526,164 8,858 4,601 3,551 130 1,152 5,356 286
8 720,954 0,1, R+17 121578 183202 0.0 0.0 0.0 0.0 1.0 720,954 0.351653151379586 5.901264045898267E11 3851204.9908501515 987984.949252953 0.33409296841737535 0.6659070315826247 122,413 243,991 0.921168609 0.032982184 0.014271744 0.019996400 0.000352572 0.001742448 0.008758631 0.000727412 496,415 17,774 7,691 10,776 190 939 4,720 392
9 714,633 0,1, R+3 22259 168153 0.0 0.0 1.0 0.0 0.0 714,633 0.29215846084921687 6.189983285491035E11 4906261.858233194 338170.7432647769 0.4669065283002037 0.5330934716997963 157,023 179,282 0.888867849 0.054112785 0.036226555 0.008929327 0.000204067 0.001728138 0.009392615 0.000538664 483,489 29,434 19,705 4,857 111 940 5,109 293
10 716,188 1,0, D+3 18823 177635 0.0 0.0 1.0 0.0 0.0 716,188 0.39709925465415047 8.562590819807791E10 1129882.3001086377 688299.2449443297 0.5264911939966617 0.47350880600333833 187,046 168,223 0.685903230 0.257890459 0.024505981 0.016799571 0.000539394 0.001743919 0.011496745 0.001120700 376,399 141,521 13,448 9,219 296 957 6,309 615
11 716,671 0,1, R+14 91565 167213 0.0 0.0 0.0 0.0 1.0 716,671 0.40276274044093324 7.153178463418109E11 4082913.8311755164 855070.6089083696 0.3631008447334978 0.6368991552665022 121,430 212,995 0.894205650 0.062463666 0.016206003 0.013227513 0.000424973 0.002086231 0.010708951 0.000677013 486,058 33,953 8,809 7,190 231 1,134 5,821 368
12 727,524 0,1, R+2 10894 159587 0.0 0.0 1.0 0.0 0.0 727,524 0.2820584351014507 1.2292660839996106E12 6563920.419197009 1115377.4765962749 0.48293407357742174 0.5170659264225783 154,140 165,034 0.890651081 0.052566807 0.038951876 0.006353635 0.000166014 0.001986751 0.008870908 0.000452929 493,573 29,131 21,586 3,521 92 1,101 4,916 251
13 718,933 1,0, D+7 47934 167065 0.0 1.0 0.0 0.0 0.0 718,933 0.41205341474846596 2.265639484053859E11 2308018.498953518 427434.5124067012 0.5717295663364559 0.4282704336635441 191,032 143,098 0.829537331 0.074140002 0.058957779 0.024511381 0.000212676 0.001790769 0.009867104 0.000982957 464,156 41,484 32,989 13,715 119 1,002 5,521 550
14 724,172 1,0, D+24 179636 188759 1.0 0.0 0.0 0.0 0.0 724,172 0.27821661141528303 7.315962428229907E10 1817812.7150736132 0.0 0.7379171324281226 0.2620828675718774 278,577 98,941 0.524041270 0.424121961 0.013660078 0.024971291 0.000125800 0.001335277 0.010712765 0.001031560 291,597 235,998 7,601 13,895 70 743 5,961 574
15 719,452 0,1, R+0 3177 171178 0.0 0.0 1.0 0.0 0.0 719,452 0.5168019167519676 8.4113564690566E11 3094352.1311584814 1904159.9185302216 0.495360079449694 0.5046399205503059 169,589 172,766 0.845466712 0.093605041 0.035957056 0.012646964 0.000206042 0.001858024 0.009598273 0.000661887 463,681 51,336 19,720 6,936 113 1,019 5,264 363
16 721,620 0,1, R+1 7149 162922 0.0 0.0 1.0 0.0 0.0 721,620 0.2891414176822606 4.043559511848634E11 4192100.6245131944 0.0 0.4890299929720755 0.5109700070279245 159,347 166,496 0.838557138 0.069216402 0.033340210 0.042730096 0.000376107 0.002002859 0.012794929 0.000982259 459,292 37,911 18,261 23,404 206 1,097 7,008 538


By ethnicity

Ethnicity Population Vote dilution % Wasted votes Victory margins Votes Straight vote descr. rep. Target seats Votes for next seat
VAP_WHITE 7,330,425 0.940004417 0.125033117 559,524.360502157 4,475,009.295389752 16 13 548
VAP_BLACK 993,016 1.440379669 0.191589695 120,883.621790353 630,950.541364738 0 2 281,987
VAP_HISPAN 218,924 0.836402879 0.111252731 14,953.429089335 134,409.545709431 0 1 484,996
VAP_ASIAN 145,508 1.144373502 0.152216929 13,858.911805125 91,047.112020802 0 0 494,581
VAP_HAWAII 2,389 0.996789948 0.132586349 196.339422113 1,480.841904726 0 0 517,689
VAP_INDIAN 16,698 0.929505322 0.123636597 1,257.190621830 10,168.434343100 0 0 516,323
VAP_MULTI 92,106 0.996945678 0.132607064 7,513.922281965 56,663.062106652 0 0 509,707
VAP_OTHER 6,687 1.087025052 0.144588821 601.224487122 4,158.167160797 0 0 517,211
TOTAL 8,805,753 1 0.133013329 5,403,887.000000000 718,789.000000000


Splits


Adams County
Allen County
Athens County
Belmont County
Butler County
Champaign County
Clark County
Cuyahoga County
Delaware County
Erie County
Fairfield County
Fayette County
Franklin County
Geauga County
Greene County
Hamilton County
Hancock County
Hardin County
Harrison County
Highland County
Hocking County
Holmes County
Huron County
Knox County
Lake County
Licking County
Logan County
Lorain County
Lucas County
Mahoning County
Medina County
Meigs County
Montgomery County
Morrow County
Pickaway County
Portage County
Richland County
Stark County
Summit County
Tuscarawas County
Union County
Van Wert County
Warren County
Wayne County
Wood County


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