Long-Term Unemployment in New York City
Aggregate statistics from the article “Most of New York City's recent unemployment gap is people out of work six months or more”
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
- Most of New York City's recent unemployment gap is people out of work six months or more (version 1.0)
New York City's unemployment rate was 4.8% in September 2026, above the nation's; in the survey's latest year, most of the gap was spells of six months or more.
The article's own data file, aggregate statistics cut to what it analyses, and the script that computes every figure in it. Computed from: NYS Department of Labor LAUS for New York City, January 1976 to September 2026; BLS national unemployment rate to September 2026; CPS basic monthly files, June 2024 to September 2026; ACS one-year national files 2019 and 2024; BLS alternative measures for states, July 2025 to June 2026; the State's September statement and release schedule; the EDC's September snapshot; the State Comptroller's April report.
Files
| File | Rows | Size | What it holds |
|---|---|---|---|
| data.csv | 647 | 23 KB | The aggregate statistics the article's figures are computed from. |
| analysis.py | 50 KB | The script that computes every figure in the article (MIT). |
Columns
data.csv: The data (7 columns)
table, period, group, nyc, us, nyc_moe, us_moe. The article and its script
define each one.
Sources
- New York State Department of Labor — Local Area Unemployment Statistics, seasonally adjusted and not (data.ny.gov), January 1976 to September 2026; retrieved 18 October 2026; revised each spring
- U.S. Bureau of Labor Statistics — Unemployment rate, seasonally adjusted and not (LNS14000000, LNU04000000), via FRED, January 1948 to September 2026 (no October 2025); retrieved 13 October 2026
- U.S. Census Bureau and Bureau of Labor Statistics — Current Population Survey, basic monthly public-use files, June 2024 to September 2026 (no October 2025 file); the story's window is September 2025 and November 2025 to September 2026
- U.S. Census Bureau — American Community Survey one-year public-use microdata, national files, 2019 and 2024 one-year files, ages 16 to 29; the 2025 file not in the Bureau's directory or API when checked on 18 October 2026
- U.S. Bureau of Labor Statistics — Alternative Measures of Labor Underutilization for States, July 2025 through June 2026 (archived copy), 11-month averages excluding October 2025; last modified 24 July 2026; archived 11 October 2026
- New York State Department of Labor — Labor Statistics for the New York City Region (September 2026), September 2026 estimates, released 15 October 2026; read 18 October 2026
- New York State Department of Labor — Labor Data Press Release Schedule, Release dates for the 2026 estimates; read 18 October 2026
- Office of the New York State Comptroller — New York City's Uneven Recovery: An Update on Labor Force Trends, Published 7 April 2026; 2025 annual averages
- New York City Comptroller — New York by the Numbers No. 117, September 2026, Published 23 September 2026
- New York City Economic Development Corporation — NYC Economic Snapshot, September 2026, Indicators to August 2026 and 2026 Q2; published September 2026; read 18 October 2026
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). Long-Term Unemployment in New York City (version 1.0). Data CC BY 4.0.
https://sparkydata.dev/data/nyc-long-term-unemploymentThe article gives the charts, the uncertainty of each comparison and a changelog. Corrections and questions: sparkytech.dev@gmail.com, or see corrections.