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An Introduction to the Statewide Database

An Introduction to the Statewide Database. September 24, 2012 Karin Mac Donald & Nicole Boyle Berkeley Law karin@cain.berkeley.edu http://swdb.berkeley.edu. A little history:.

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An Introduction to the Statewide Database

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  1. An Introduction to theStatewide Database September 24, 2012 Karin Mac Donald & Nicole Boyle Berkeley Law karin@cain.berkeley.edu http://swdb.berkeley.edu

  2. A little history: • A bipartisan agreement after Prop. 140 in 1990 moved creation of redistricting database from Legislature to independent body – UCB selected • Goal: to create a database that is non-partisan, free from political influence, academic, public, free and always available • Not cheap: Legislature invests millions of dollars each decade to create and distribute; but cheaper than lawsuits!

  3. The Statewide Database today: • The Legislature shall take all steps necessary to ensure that a complete and accurate computerized database is available for redistricting, and that procedures are in place to provide the public ready access to redistricting data and computer software for drawing maps. Upon the commission's formation and until its dissolution, the Legislature shall coordinate these efforts with the commission. (Government Code Sec. 8253 (7) (b))

  4. What is in the Official Redistricting Dataset? • Same data that were produced for 2001 redistricting • Census Geography • Census Data (PL94-171) • Statement of Registration Data for 10 years • Statement of Vote for 10 years • Added for 2011 • Citizen Voting Age Population (CVAP) separately • Selected Older Elections • Documentation

  5. What is NOT in the Official Dataset? • Does not include • American Community Survey (CVAP separate) • Adjusted Census Data (i.e. Prisons) • Racially Polarized Voting Analysis • Local Election Results • Community of Interest database • Neighborhood database

  6. Census Data in the SWDB • Basic Information/ Data that jurisdictions are required by law to use for Redistricting • Census 2010 Redistricting Data (Public Law 94-171, or PL94-171) contains the count of the U.S. population • BLOCK-LEVEL dataset • Includes data on people's race and ethnicity, for both the total and the voting age population • Information is based on answers to the questions in the Census 2010 Short-Form questionnaire.

  7. Census Geography: 2010 - 2020 • 58 Counties • 1,523 Census Places • 8,057 Census Tracts • 23,212 Census Block Groups • 710,145 Census Blocks

  8. Census Geography

  9. Census Geography California is divided into counties…. Counties are divided into tracts… And block groups are divided into blocks Tracts are divided into block groups…

  10. 5 detailed tables in the PL94-171 • Subject Table #RaceTotal population . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . P1Hispanic or Latino, and Not Hispanic or Latino by RaceTotal population . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . P2Race for the Population 18 Years and OverTotal population 18 years and over . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .P3Hispanic or Latino, and Not Hispanic or Latino by Race for the Population 18 Years and OverTotal population 18 years and over . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .P4Occupancy StatusHousing units . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . H1

  11. P1. RaceUniverse: Total populationTotal: Population of one race: White alone Black or African American alone American Indian and Alaska Native alone Asian alone Native Hawaiian and Other Pacific Islander alone Some other race aloneRepeats for the Population of two or more races…..P2.Hispanic or Latino, and Not Hispanic or Latino by RaceUniverse: Total populationTotal: Hispanic or Latino Not Hispanic or Latino: Population of one race: White alone Black or African American alone American Indian and Alaska Native alone Asian alone Native Hawaiian and Other Pacific Islander alone Some other race aloneRepeats for the Population of two or more races….. Census Data

  12. Census Data P3. Race For The Population 18 Years and Over P1 variables are repeated for the Population 18 Years and OverP4. Hispanic or Latino, and Not Hispanic or Latino By Race For The Population 18 Years And Over P2 variables are repeated for the Population 18 Years and OverH1. Occupancy StatusUniverse: Housing unitsTotal: Occupied Vacant

  13. Aside from the Redistricting Block Level Dataset: what’s in the SWDB? • Registration and Statement of Vote Data by precinct • Datasets available starting in 1992 • Datasets for Statewide General Elections • For 1990s some Primaries processed • For 2000s all Primaries processed

  14. Processing Registration Data: • Voters are geocoded to individually assign them to their proper census block.

  15. Registration Data in the SWDB

  16. Precinct Types: • RG = Original Registration Precincts (designated by County Registrar) • RR = Registration Precincts (geographic unit constructed for statistical merging purposes by SWDB) • SV = Original Voting Precincts (designated by County Registrar) • SR = Consolidated Precinct (geographic unit constructed for statistical merging purposes by SWDB)

  17. Statement of Registration Variable Start End Format Description TOTREG 16 20 F5.0 Total registration DEM 21 25 F5.0 Democratic Party Registration REP 26 30 F5.0 Republican Party Registration AIP 31 35 F5.0 American Independent Party Registration PAF 36 40 F5.0 Peace and Freedom Party Registration MSC 41 45 F5.0 Miscellaneous Registration LIB 46 50 F5.0 Libertarian Party Registration NLP 51 55 F5.0 Natural Law Party Registration GRN 56 60 F5.0 Green Party Registration REF 61 65 F5.0 Reform Party Registration DCL 66 70 F5.0 Declined to State Registration MALE 91 95 F5.0 Male FEMALE 96 100 F5.0 Female

  18. Statement of Registration Variable Start End Format Description HISPDEM 101 105 F5.0 Latino Democrats HISPREP 106 110 F5.0 Latino Republicans HISPDCL 111 115 F5.0 Latino Declined to State HISPOTH 116 120 F5.0 Latino Other Party REPEATS for: Jewish Korean Japanese Chinese Asian Indian Vietnamese Filipino

  19. Statement of Registration Variable Start End Format Description DEMMUNK 291 295 F5.0 Dem Male age unknown DEMM1824 261 265 F5.0 Dem Male age 18-24 DEMM2534 266 270 F5.0 Dem Male age 25-34 DEMM3544 271 275 F5.0 Dem Male age 35-44 DEMM4554 276 280 F5.0 Dem Male age 45-54 DEMM5564 281 285 F5.0 Dem Male age 55-64 DEMM65PL 286 290 F5.0 Dem Male age 65 Plus DEMFUNK 326 330 F5.0 Dem female age unknown DEMF1824 296 300 F5.0 Dem female age 18-24 DEMF2534 301 305 F5.0 Dem female age 25-34 DEMF3544 306 310 F5.0 Dem female age 35-44 DEMF4554 311 315 F5.0 Dem female age 45-54 DEMF5564 316 320 F5.0 Dem female age 55-64 DEMF65PL 321 325 F5.0 Dem female age 65 Plus REPEATS FOR: Republican Declined to State Other Party

  20. Statement of Registration Variable Start End Format Description RREG1G 541 545 F5.0 REP registered 1 cycle RREG2G 546 550 F5.0 REP registered 2 cycles RREG3G 551 555 F5.0 REP registered 3 cycles RREG4G 556 560 F5.0 REP registered 4 cycles RREG5G 561 565 F5.0 REP registered 5 cycles RREG6G 566 570 F5.0 REP registered 6 cycles RREG7G 571 575 F5.0 REP registered 7 cycles RREG8G 576 580 F5.0 REP registered 8 cycles RREG9G 581 585 F5.0 REP registered 9+ cycles REPEATS FOR: Democrat Declined to State Other Party

  21. Statement of Vote • Electoral data processed primarily for racially polarized voting analyses (RPV) • Individualized data not available • Precincts are the smallest unit of analysis for electoral data and change from election to election • Precincts do not correspond to census geography • Converted precinct data to census geography (for redistricting dataset) • Between redistrictings, data are available on the precinct level only • SWDB provides conversion files to move data from precinct to precinct or from precinct to census geography

  22. Statement of Vote 2008 California General Election 62,404 Precincts in the State

  23. Statement of Vote Precincts do not correspond to census geography

  24. Statement of Vote • For each election, the database includes: • Turnout • Statewide Contests • Legislative Contests • Propositions see for example: http://swdb.berkeley.edu/d00/g10.html for codebook see here: http://swdb.berkeley.edu/pub/data/G10/c001/001.codes

  25. Also available on the SWDB site: • Reports • Census Reports • Statewide Electoral and Registration Reports • Zipcode Reports • Miscellaneous Reports • California Official Statements of Registration 1962-2008 • California Official Statements of Vote 1990-2008 • Web GIS for new and old districts! • Lots of maps

  26. What’s new at SWDB? • 1. New in the p12: • reg data for for reg voters that voted via forced mail ballot precincts • reg data for reg voters that did not vote • g08 and g10 sov data by p12 reg precinct • 2. pdf maps of the new districts and district summaries for the new districts, • 3.rg to rr to sr precinct conversion files for the 2003S to 2010G elections. • 4. reports of the 2010G - 2004G data for the new districts for the top two candidates in each race (i.e.no 3rd party candidate data for the new districts) • 5. precinct to 2010 census block conversion files

  27. What’s in the works? • new district reports with 3rd party candidate data • new and old district overlay reports and maps • ESRI based webgis

  28. What are the Advantages of the SWBD? • Everyone uses the same database • Saves $$$ • Transparency builds trust! • “Other side” issues eliminated • More time for discussions about lines than data • Availability to other jurisdictions in CA • Saves $$$ • Cities, counties, special districts – better data! • Debugging over time by users • Error goes down; issues resolved promptly • Allows public to familiarize themselves with data • Can be used between redistrictings • Avoids building at extreme time pressure • Cuts down on data collection issues • Leaves time to deal with ‘surprises’

  29. Questions?

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