SparkyData

NYC Reported Voting in Midterm and Presidential Elections by Age, Schooling, Birthplace and Tenure, 1996–2024

Aggregate statistics from the article “In New York City's midterms, the gap in reported voting between the oldest and youngest adult citizens widens to 19 points, from 12 in presidential years”

No synthetic records. Published or computed tabulations containing no person-level records.

Records
Aggregate statistics
Place
New York City
Version
1.0,
Licence
CC BY 4.0; code MIT
Built for
In New York City's midterms, the gap in reported voting between the oldest and youngest adult citizens widens to 19 points, from 12 in presidential years (version 1.0)

In New York's last four midterms, 28% of adult citizens under 30 said they voted, against 47% of those 65 and over: a 19-point gap, 12 in presidential years.

What it shows

The article's own data file, aggregate statistics cut to what it analyses, and the script that computes every figure in it. Computed from: CPS November Voting and Registration Supplements, every even-year November election 1996-2024 (public-use files; 1996-2008 as mirrored by NBER, layouts from each year's techdoc and NBER's 1996 dictionary); the Census Bureau's Table 4b for New York State, 2018 and 2024; the NYC Board of Elections' turnout records, 1996-2024, and its 2025 annual report; census 1990 and 2000 PUMS and ACS one-year PUMS 2006-2024 (adult citizens); the Board's 2026 election calendar.

Files

Each file's columns are under Columns below and in data_dictionary.csv.

FileRowsSizeWhat it holds
data.csv 125 11 KB The data
analysis.py 42 KB The analysis script

Columns

data.csv: The data (12 columns)

The aggregate statistics the article's figures are computed from.

table, period, group, share, moe, records, weighted_yes, weighted_base, ballots, census_adult_citizens, census_basis, counted_per_100. The article and its script define each one.

Licence and credit

Data CC BY 4.0; the script MIT. Records we counted from government files stay under their publishers' terms. Public-use microdata are disclosure-protected records derived from survey responses, published by the issuing agency so that no respondent can be identified; synthetic records are generated by SparkyData and correspond to no real person, household or address. Neither may be used to identify anyone.

Credit it as:

SparkyData (2026). NYC Reported Voting in Midterm and Presidential Elections by Age, Schooling, Birthplace and Tenure, 1996–2024 (version 1.0). Data CC BY 4.0.
https://sparkydata.dev/data/nyc-reported-voting-in-midterm-and-presidential-elections
Sources (9)

The article gives the charts, the uncertainty of each comparison and its own changelog. Corrections and questions: sparkytech.dev@gmail.com, or see corrections.