SparkyData

NYC Rent-Stabilized Households: Income and Rent

Public-use microdata from the article “Who gets the rent freeze”

Not synthetic. Disclosure-protected survey records published by a government statistical agency, cut to the people or households we looked at.

Records
Public-use microdata
Place
New York City
Version
1.0,
Licence
CC BY 4.0; code MIT
Built for
Who gets the rent freeze (version 1.0)

A rent freeze can't pick its tenants, and how its value splits depends on the yardstick: in dollars, better-off households get a little more than their share, because they pay higher rents; against income, the poorest gain the most. Three in ten stabilized households earn six figures, and two in three with any income fall below 80% of HUD's income limit for their household size.

The article's own data file, microdata cut to what it analyses, and the script that computes every figure in it. Computed from: 2023 New York City Housing and Vacancy Survey public use files (incomes for 2022), with every survey since 1993 for the long view; Rent Guidelines Board Orders #1 to #58, for leases from 1968 to 2027.

Files

FileRowsSizeWhat it holds
data.csv 6,659 781 KB The microdata the article's figures are computed from.
analysis.py 65 KB The script that computes every figure in the article (MIT).

Columns

data.csv: The data (20 columns)

control, weight_FW, group, borough, income_2022, income_band, income_pct_of_hud_limit_fy2023, contract_rent_2023, gross_rent_2023, lease_length_code, lease_start_code, rental_assistance, section8_voucher, rent_burden_category, householder_age, household_size, first_move_in_year, order57_rate, annual_saving_at_2023_rent, renews_in_freeze_year. The article and its script define each one.

Sources

Licence and credit

The survey records are the publishing agency's, redistributed as published; the columns we derived are CC BY 4.0; the script is MIT. 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 Rent-Stabilized Households: Income and Rent (version 1.0). Data CC BY 4.0.
https://sparkydata.dev/data/nyc-rent-stabilized-households-income-and-rent

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