New York 2022 Election District-Level Data

2022 NY General Election Shapefile and Results by Election District


Credit and Thank You

This data would not have been possible to create and provide without the assistance of each of New York’s county Boards of Elections commissioners and staffers, who were often very eager to help provide the data I was looking for; county GIS and Planning Department workers, who filled in major gaps; Derek Willis and the volunteers at Open Elections who worked diligently to clean up and standardize the election results data files I compiled for the entire state; the folks at the Redistricting Data Hub who helped verify and correct shapefile errors; and the wonderful folks at the Census Bureau and the U.S. Department of Agriculture National Resources Conservation Service and the U.S. Geological Survey, without whom the shapefile would have been impossible to create.


Important Notes

This data is free for anyone to use – however, as it took months and much work to compile and craft, I ask that anyone who uses it credits me (Benjamin J. Rosenblatt, or @BenJ_Rosenblatt on Twitter) and links to the data for others to use, and so all the other fine folks who helped make this possible receive their due credit. 


Putting this all together, for the most part all by myself, was a gargantuan task. I worked very hard to remove the possibility of any errors, but it’s always possible I missed something. If you spot anything that needs to be corrected, please email me at ben@benjrosenblatt.com and I will fix it as soon as I’m able to.


I would be remiss not to mention that none of this work should have been necessary for me to do. New York state has an astounding lack of rules, standardization, and open data requirements, especially when it comes to election data. This decentralized system leads to each county and the NYC Board of Elections providing data in entirely different formats, at different times, often with many errors and no clear GIS guidelines for shapefiles. Many, if not all, county Boards of Elections are overworked and under-resourced, and may lack the specialization necessary to put this data together. Thanks to Senator James Skoufis and Assemblymember Amy Paulin, the state legislature passed and Governor Hochul signed into law a bill requiring each county Board of Elections to publish on their website shapefiles (or other vector-based data) for their congressional, senatorial, assembly, and election districts. However, this bill came with no standards for the Boards to follow when making these files, and many Boards are still not following this legal requirement.


Thankfully, solutions exist. Thanks to Senator Zellnor Myrie and Assemblymember Latrice Walker, the chairs of each chamber’s Elections/Election Law Committee, a bill I initially wrote – which has been greatly improved upon – would create a statewide election and voting database, the New York Voting and Elections Database and Institute, which would be housed at SUNY. I’m hopeful the bill will finally pass both chambers and the Database and Institute will be funded this year through the state budget, and I hope to work with lawmakers to pass more essential election data and administration reforms to move New York from worst to first.



Methodology and Sources

All results in the Results File were compiled via email from each county’s Board of Elections or via each Board of Elections’ website. They were then provided to Open Elections, who standardized the data into an Excel file, from which I cleaned up, updated, and created this statewide results file.


All shapefiles were initially based on election district shapefiles or static maps received from each county’s Board of Elections via email or their website, each county’s Planning or GIS Department, or each county’s Open Data portal. For counties where only static maps were available, shapefiles were created using the 2020 Census VTD shapefile and Census TIGER/Line shapefiles. Every county was then adjusted to ensure its boundaries matched the Census county shapefile boundaries. Once this was completed, all election districts outside of New York City were adjusted to ensure their boundaries matched the Census County Subdivisions boundaries for every municipality. Counties with election districts for specific villages were also adjusted to ensure these election districts’ boundaries matched the Census Places boundaries. After this, all election districts were checked to ensure they matched each county’s election district-level results. Every election district boundary was then matched against a geocoded voter file for each county, and adjusted when necessary to match the geocoded voter file, sometimes by hand but mostly through use of the Census TIGER/Line shapefiles. Water areas were cut out of the shapefile through use of the National Hydrography dataset provided by the U.S. Department of Agriculture National Resource Conservation Service and the U.S. Geological Survey.


The shapefile contains 7 fields:

  • GEOID
  • A 12-digit field, providing a unique identifier for each Election District. It is, in order, the following:
  • The 2-digit State FIPS code, 36.
  • The corresponding 3-digit County FIPS code.
  • The 2-digit MuniID (see below; within NYC, this is 00). 
  • The 5-digit EDID (see below).
  • StateFP
  • The 2-digit State FIPS code, 36.
  • CountyFP
  • The 3-digit FIPS code for each county.
  • CountyName
  • Each county’s name.
  • EDName
  • Each Election District’s name.
  • EDID
  • This code is 5 digits. Outside of New York City, the first 2 digits correspond to the Ward, Legislative District, or other district within a municipality, and the last 3 digits are the number of the Election District within the Ward, Legislative District, or other district.
  • Within New York City, the first 2 digits are the Assembly District, and the last 3 digits are the number of the Election District within the Assembly District.
  • MuniName
  • Each municipality’s name, outside of New York City. Within New York City, the MuniName is “N/A”, not applicable.
  • MuniID
  • A number assigned to each municipality outside of New York City, ordered alphabetically. Within New York City, the MuniID is 0.



Shapefile Notes

  • The shapefile was updated on April 3, 2024, fixing five misnamed Election Districts in Albany County and two overlapping election districts in Suffolk County.
  • Any GEOIDs with a “0” or a letter (“A”, “B”, “C”, “D”, etc.) at the end are empty election districts.
  • The following are cumulative, federal, or otherwise impossible-to-map rows in the results file that have votes but are not included in the shapefile:


County GEOID in Results File Name
Cattaraugus 36009000000A Early Voting - Little Valley
Cattaraugus 36009000000B Early Voting - Olean
Cattaraugus 36009000000C Pre Election Absentee
Cattaraugus 36009000000D Post Elections ABS/AFF & unscanned
Cayuga 360110000000 Cumulative
Herkimer 36043000000A Early Voting (Countywide)
Herkimer 36043000000B Early Voting (SD 49)
Herkimer 36043000000C Early Voting (SD 53)
Herkimer 36043000000D Early Voting (AD 118)
Herkimer 36043000000E Early Voting (AD 122)
Herkimer 36043000000F Mail-in Ballots (Countywide)
Herkimer 36043000000G Mail-in Ballots (SD 49)
Herkimer 36043000000H Mail-in Ballots (SD 53)
Herkimer 36043000000I Mail-in Ballots (AD 118)
Herkimer 36043000000J Mail-in Ballots (AD 122)
Schoharie 360950000000 Multi-ED Collection/Cumulative
Schuyler 360970000000 Schuyler Federal
Wyoming 361210000000 Cumulative

Results File Notes

  • For each of the races in the results file, some counties’ results do not match the State BOE’s results perfectly – they use the most-recently updated Election District-level results from the county BOEs instead. 
  • The exact vote difference is shown below, with a positive number meaning a higher number of votes in the results file than in the State BOE’s results, and a negative number meaning a lower number of votes in the results file than in the State BOE’s results.
  • For Herkimer County, there was a substantial difference in the Attorney General, U.S. House, State Senate, and State Assembly races due to an Excel error. I’ve verified the correct results with the county BOE.
  • The results file was updated on April 3, 2024, with corrected results in Clinton (assigning 11 write-in votes for Governor for Larry Sharpe); Queens (fixing errors in AD 23 ED 45 in several races); Schuyler (adding 7 votes for Congress on the federal ballot line); Tioga (adding 1 vote on the Republican line in several races in Richford 1); Wyoming (removing 3 extra cumulative line votes on the Conservative party line for Congress); and Monroe (fixing errors in nearly every race) counties.


Governor

County DEM REP CON WOR Write-In
Delaware -1 -1 -- -- --
Monroe +14 +5 +1 +1 +2
St. Lawrence -- -- -- -- +2
Saratoga -3 +3 +2 -- +1

Comptroller

County DEM REP CON WOR Write-In
Columbia -19 -2 -- -1 --
Delaware -1 -1 -- -- --
Jefferson -- -- -- -- -1
Monroe +14 +4 +1 +2 +2
Saratoga -5 +2 +1 +1 --

Attorney General

County DEM REP CON WOR Write-In
Columbia -18 -4 -- +1 --
Delaware -1 -1 -- -- --
Herkimer +596 +237 +85 +42 --
Jefferson -- -- -- -- -1
Monroe +14 +4 +1 +1 +2
Saratoga -1 +1 +1 +1 --

US Senate

County DEM REP CON WOR Write-In
Columbia -19 -2 -- -2 --
Delaware -1 -1 -- -- --
Hamilton -- -- -- -- -1
Herkimer -- -- -4 -- --
Jefferson -- -- -- -- -1
Monroe +14 +3 +1 +1 +2
Onondaga +2 -- -- -- --
Saratoga -3 +2 +1 +1 --

US House

District County w/i District DEM REP CON WOR MOD Write-In
19 Columbia -16 -5 -- -2 -- --
19 Delaware -1 -1 -- -- -- --
20 Saratoga -2 +1 +1 +1 -- --
21 Herkimer +4 +576 -- -- +4 --
22 Onondaga +2 -- -- -- -- --
25 Monroe +16 +2 +1 +1 -- --

State Senate

District County w/i District DEM REP CON WOR Write-In
41 Columbia 15 -4 -- -5 --
44 Saratoga -2 +3 +2 -- --
49 Herkimer -- +608 +150 -- --
51 Delaware -1 -1 -- -- --
53 Herkimer -- +551 +69 -- --
55 Monroe +4 +2 -- +2 --
56 Monroe +8 -1 -- -- --
62 Monroe -- -- +1 -- --

Assembly

District County w/i District DEM REP CON WOR Write-In
102 Delaware -1 -1 -- -- --
106 Columbia -19 -4 -- -- --
107 Washington -- -- -- -- -88
112 Saratoga +5 +2 +2 -- --
114 Fulton -- -1 -- -- +1
118 Fulton -- -- -- -- -1
118 Hamilton -- -- -- -- +7
118 Herkimer -- +627 -- -- --
122 Herkimer +124 +586 +65 +5 --
130 Monroe -- +1 -- -- --
131 Ontario -- -3 -- -- --
133 Wyoming -1 -- -- -- --
134 Monroe -- -- +2 -- --
135 Monroe +3 +1 -- +1 --
136 Monroe +1 +1 -- -- --
137 Monroe +8 -- -- +1 --

Download the Data

Download the shapefile and Excel results file below. For other file formats, or if you have any additional questions, please email me at ben@benjrosenblatt.com.


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