Données ouvertes

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Jeux de données ouverts, entièrement documentés — interrogeables ici, et lisibles par n’importe quel LLM.

Les titres et les descriptions proviennent des sources de données, en anglais.

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14 jeux de données

labor-market

U.S. Bureau of Labor Statistics
BLS Employment Cost Index, 12-month compensation change
Quarterly U.S. employer cost changes from the BLS Employment Cost Index (ECI): 12-month percent changes in total compensation, wages and salaries, and total benefits for all civilian workers, plus total compensation for private industry workers. Current dollars, not seasonally adjusted. The ECI is the BLS's headline measure of labor-cost inflation; the 12-month change is the series BLS emphasizes for wage-pressure analysis.
- compensation
- wages
- labor
- labor-market
lignes
312
Qualité
100
Mis à jour
28 sept. 2026
À jour
Licence
Usage commercial OK
U.S. Bureau of Labor Statistics
BLS alternative measures of labor underutilization (U-4 to U-6)
Monthly U.S. alternative measures of labor underutilization from the BLS Current Population Survey (CPS), Table A-15: U-4 (unemployed plus discouraged workers), U-5 (plus all other persons marginally attached to the labor force), and U-6 (plus total employed part time for economic reasons). Rates in percent, seasonally adjusted. U-3 (the official unemployment rate) is published in bls_unemployment. October 2025 is unavailable upstream (2025 lapse in appropriations) and stays null.
- unemployment
- underemployment
- labor
- labor-market
lignes
708
Qualité
100
Mis à jour
28 sept. 2026
À jour
Licence
Usage commercial OK
U.S. Bureau of Labor Statistics
US work stoppages: annual strike & lockout panel
Annual US work stoppages (strikes and lockouts involving 1,000+ workers, one full shift or longer) from the BLS Work Stoppages bulk files (keyless): one row per year, 1947 to the latest complete year, with stoppages beginning, workers involved beginning and in effect (thousands), days of idleness (thousands of workdays) and days idle as a percent of estimated total working time. Method: the six BLS measures are pivoted from annual (M13) bulk rows into a wide year panel; footnote-2 censored percent cells and footnote-1 unavailable cells are kept as honest NULLs with flags, preliminary flags preserved. Derived signals: days idle per worker, workers per stoppage beginning, and a trailing 5-year average of days idle. Units: days_idle_000s and workers_*_000s are in thousands; *_pct is a percent. Caveats: not comparable with the pre-1981 series that covered 6+ workers; the percent-of-worktime series was archived by BLS after April 2024 (NULLs from 2024 onward, never imputed); in-effect measures exist from 1981 only.
- us
- labor
- labor-market
- bls
lignes
79
Qualité
98
Mis à jour
28 sept. 2026
À jour
Licence
Usage commercial OK
U.S. Bureau of Labor Statistics
US work stoppages: monthly strike & lockout panel
Monthly US work stoppages (strikes and lockouts involving 1,000+ workers, one full shift or longer) from the BLS Work Stoppages bulk files (keyless): one row per month, 1981-01 to the latest published month, with the six BLS measures — stoppages beginning, workers beginning, workers in effect, stoppages in effect, days of idleness (thousands of workdays), and days idle as percent of estimated working time. Method: monthly bulk rows pivoted wide; censored/unavailable cells kept as NULLs with flags; preliminary (footnote P) months flagged. Derived signals: trailing-12-month averages of days idle, workers in effect, and stoppages in effect, plus year-over-year percent change in days idle. Units as the annual panel. Caveats: updates land ~3 weeks after month end; monthly figures are preliminary until BLS issues final monthly + annual figures in February; the percent-of-worktime series was archived by BLS after April 2024 (NULLs thereafter, never imputed).
- us
- labor
- labor-market
- bls
lignes
548
Qualité
99
Mis à jour
28 sept. 2026
À jour
Licence
Usage commercial OK
Harmonized-Unemployment Signals (derived)
Global harmonized-unemployment signals (OECD, 20 economies)
Monthly harmonized-unemployment signals for 20 major economies from the OECD's Infra-Annual Labor Statistics (ILO-harmonized definition, ages 15+, seasonally adjusted; redistributed by FRED): 3-month momentum, 30-month change volatility, 3-sigma anomaly flags vs a trailing 12-month baseline, drift forecasts, per-month cross-country ranks, a 3-year labor-stress z-score, an elevated-labor-market flag, and a cross-country dispersion gauge for global labor-divergence. The cross-country companion to us-labor-market-signals (US depth) and euro-area-unemployment-signals (euro breadth): one comparable measure for spotting which labor markets crack first. All rows normalized to ISO alpha-3 country codes so they join cleanly with every other global dataset. Raw series: OECD via FRED (commercial re-use of OECD data requires prior permission — flagged in the UI).
- unemployment
- labor-market
- oecd
- harmonized
lignes
10 478
Qualité
97
Mis à jour
22 sept. 2026
À jour
Licence
Usage commercial interdit
Hacker News 'Who is hiring?' (keyless API)
HN 'Who is hiring?' job-posting intelligence (monthly)
Monthly structured intelligence over Hacker News' 'Ask HN: Who is hiring?' thread: every top-level comment of the month's thread (posted by the whoishiring account on the first weekday; September 2026 thread id 49522897, 257 live job posts after dropping 43 deleted/dead/empty comments), parsed from the official keyless HN Firebase API. Deterministic pipeline: HTML stripped and entities unescaped; company parsed from the first pipe-delimited header segment (null when unparseable or role-like); location resolved to ISO alpha-3 through hub.normalize with a documented cascade (parenthetical 'Remote (US)' -> USA, trailing US-state so 'CA' reads as California not Canada, token scan, curated city map, 'in <City>' fallback; timezone tokens and English-word lookalikes excluded; honest null when unresolvable); work_mode remote/onsite/hybrid/unknown (hybrid wins on mixed signals; 93.8% classified live); employment_type full-time/part-time/contract/internship/unknown first-match-wins; role_category deterministic first-match-wins over 19 categories (ml-ai before generic backend); tech_tags ~45 canonical keyword tags (word boundaries; 'go' matches only golang/capitalised Go); ai_related keyword flag; salary-info, visa-sponsorship and bullet role-list flags; PII redaction — contact emails/phones become '[email redacted]'/'[phone redacted]' in text_excerpt (rows kept, since contact info is the norm in hiring posts; full bodies never stored); hiring_signal_score = 30*has_role_list + 15*has_salary_info + 10*has_visa_sponsorship + 25*min(1, word_count/400) + 20*min(1, n_tags/6), ranked as signal_rank (score desc, comment_id asc). Month/thread fixed per run so identical input is an idempotent no-op; a later live re-fetch in the same month mints a new snapshot as comments arrive. Primary key: (month, comment_id). Nullability: company, location_raw, country_code, tech_tags may be null. Caveats: header parsing is heuristic (not all posters follow the convention); keyword rule sets, not classifiers; the score measures post informativeness, not employer quality; English-language posts dominate. Underlying user-submitted content carries no explicit redistribution license, so commercial_use = unclear with per-row source URLs and attribution. Sample use: filter work_mode = 'remote' and ai_related for remote AI roles, or order by signal_rank for the most informative postings.
- jobs
- employment
- labor-market
- technology
lignes
257
Qualité
91
Mis à jour
25 sept. 2026
À jour
Licence
Licence incertaine
Global ILO Unemployment Signals (derived)
Global ILO unemployment signals (labor-market breadth)
Global unemployment signals from the ILO modeled estimates via World Bank WDI (~200 economies, annual 1991 ->): 10-year change, OLS trend slope, 3-sigma shock flags, 5-year linear-extrapolation forecasts, cross-country ranks, the female-minus-male gender gap, crisis/recovery flags and a 10-year z-score. The breadth companion to the OECD 20-country monthly set: every country's unemployment story on one harmonized grid. World Bank WDI (non-commercial terms).
- unemployment
- labor-market
- ilo
- world-bank
lignes
20 643
Qualité
96
Mis à jour
22 sept. 2026
À jour
Licence
Usage commercial interdit
Labor-Demand Signals (derived)
US labor-demand signals (JOLTS openings, hires, quits)
Monthly US labor-demand signals from BLS JOLTS data (via FRED, 2000 ->): job openings, the hires rate and the quits rate, with 3-month momentum, 30-month change volatility, 3-sigma anomaly flags, drift forecasts, 3-year demand z-scores, a hires hiring-freeze flag, a quits-based worker-confidence gauge and a vacancy-surge flag. The labor-DEMAND companion to the labor-supply levels in us-labor-market-signals: how tight the labor market is from the employer's and the worker's side. All rows normalized to country_code USA. Raw series: Bureau of Labor Statistics (JOLTS) via FRED.
- labor
- labor-market
- jolts
- job-openings
lignes
924
Qualité
94
Mis à jour
22 sept. 2026
À jour
Licence
Usage commercial OK
US Labor-Market Slack Signals (derived)
US labor-market slack signals (duration & underemployment)
Monthly US labor-market slack signals from BLS duration and underemployment series (FRED UEMPMEAN 1948 ->, U6RATE 1994 ->): 3-month momentum, year-on-year change, 30-month change volatility, 3-sigma anomaly flags, naive-drift forecasts, a long-duration (>=27 weeks) flag, an elevated-underemployment (U-6 >= 10%) flag, and 5-year z-scores for both. The slack lens on US labor — complementing us-labor-market-signals (headline levels) and sahm-labor-recession-signals (recession trigger) by watching unemployment duration and underemployment, where labor-market pain concentrates. All rows normalized to country_code USA. Raw series: U.S. Bureau of Labor Statistics (Current Population Survey) via FRED.
- unemployment
- underemployment
- labor-market
- duration
lignes
1 334
Qualité
96
Mis à jour
22 sept. 2026
À jour
Licence
Usage commercial OK
Productivity-Pay Gap Signals (derived)
US productivity-pay gap signals (decoupling gauge, compensation vs output per hour)
Quarterly signals derived from BLS productivity and costs data (redistributed by FRED, 1947 ->): 30-quarter annualized change volatility, 1-quarter momentum, year-over-year change, 3-sigma anomaly flags vs a trailing 12-quarter baseline, naive-drift 1-quarter forecasts, a per-quarter cross-series volatility rank, the real pay-minus-productivity gap (both rebased to 1947 = 100 — the decoupling gauge) and a 10-year gap z-score (the decoupling-regime gauge). All rows are normalized to country_code USA so they join cleanly with US macro data. Raw series: Federal Reserve Bank of St. Louis (FRED); underlying data: U.S. Bureau of Labor Statistics.
- productivity
- wages
- compensation
- labor-market
lignes
636
Qualité
99
Mis à jour
22 sept. 2026
À jour
Licence
Usage commercial OK
Sahm-Rule Labor Signals (derived)
US Sahm-rule labor-recession signals
Monthly US Sahm-rule recession signals from the BLS unemployment rate (FRED UNRATE, 1948 ->): the 3-month average unemployment rate minus its 12-month low (pp), with the 0.50pp recession trigger flag, a 0.30pp warning flag, a fast-rise flag, 3-month momentum, 30-month change volatility, 3-sigma anomaly flags, drift forecasts, a 5-year z-score, and the 12-month unemployment-rate change. The rule-based, transparent companion to us-recession-probability-signals (model probability) and the deterioration lens on us-labor-market-signals (raw levels). All rows normalized to country_code USA. Raw series: U.S. Bureau of Labor Statistics via FRED.
- sahm-rule
- recession
- unemployment
- labor-market
lignes
943
Qualité
100
Mis à jour
22 sept. 2026
À jour
Licence
Usage commercial OK
US State Unemployment Signals (derived)
US state unemployment signals (50 states + DC, regional divergence, anomalies)
Value-added regional labor signals derived from FRED's free BLS state unemployment-rate series: all 50 states plus the District of Columbia, monthly seasonally adjusted. Each row carries change volatility, 3-month momentum, 12-month change (pp), a trailing-1y rate z-score, 3-sigma anomaly flags, naive-drift 1-month forecasts, a per-month cross-state volatility rank, and the cross-state unemployment dispersion gauge (regional labor-market divergence). All computation is local pandas/numpy; no paid models or APIs.
- unemployment
- labor-market
- regional
- states
lignes
30 957
Qualité
100
Mis à jour
22 sept. 2026
À jour
Licence
Usage commercial OK