US state unemployment-rate intelligence (monthly)
Monthly US state unemployment-rate intelligence from the BLS Local Area Unemployment Statistics statewide program (keyless BLS Public Data API v2): seasonally adjusted unemployment rates for the 50 states, the District of Columbia and Puerto Rico, with MoM / YoY / 3-month percentage-point changes, a documented 0-100 labor-distress score with per-month ranks and distress tiers, rising / falling / rapid-rise / 12-month-record-low/high flags, and month-level context: the national headline rate, each state's gap to it, the national spread, and rising/falling breadth. Consistent methodology window 2017-01 onward. Caveats: the latest month is preliminary and routinely revised; state estimates are model-based and benchmark-revised annually. BLS material is public domain (commercial reuse allowed); source: U.S. Bureau of Labor Statistics.
Les titres et les descriptions proviennent des sources de données, en anglais.
- Lignes
- 6 032
- Colonnes
- 25
- Cadence de la source
- Mensuelle
- Dernière actualisation
- 27 sept. 2026
- Thème
- economy
| Colonne | Type | Description |
|---|---|---|
| month | string | Reference month: first day of the month, ISO date. The panel covers the consistent methodology window 2017-01 onward (the 2016 fetch year supplies the 12-month lags). (unit: ISO date) |
| country_code | string | ISO alpha-3 country code (USA for every row). (unit: ISO 3166-1 alpha-3) |
| state_fips | string | Census FIPS state code (e.g. 06 = California, 11 = District of Columbia, 72 = Puerto Rico). |
| geo_code | string | Stable geography code: USPS postal abbreviation, lowercase (ca, tx, ny, ...; dc, pr). Primary join key with month. |
| geo_name | string | BLS catalog State field value (e.g. California, District of Columbia, Puerto Rico). |
| ur_sa_pct | float | Published seasonally adjusted unemployment rate, kept verbatim as published. (unit: percent) |
| ur_mom_pp | float | Month-over-month change of the SA unemployment rate. (unit: percentage points) |
| ur_yoy_pp | float | Year-over-year change of the SA unemployment rate. (unit: percentage points) |
| ur_3m_pp | float | 3-month change of the SA unemployment rate. (unit: percentage points) |
| labor_distress_score | float | Documented 0-100 composite: 100 * (0.60 * min-max(winsorized ur_sa_pct, 1..12) + 0.40 * min-max(winsorized ur_yoy_pp, -2..+2)), min-maxed within each month across the 52 states. Higher = most distressed labor market versus peers this month. (unit: 0-100 score) |
| distress_rank | integer | Per-month rank of labor_distress_score across the 52 states (1 = most distressed). (unit: rank) |
| distress_tier | string | Quartile bucket of labor_distress_score within the month: t1 (least distressed) .. t4 (most distressed). (unit: tier) |
| unemployment_rank | integer | Per-month rank of the raw ur_sa_pct across the 52 states (1 = lowest rate). (unit: rank) |
| rising_flag | integer | 1 when ur_mom_pp is positive (rate rose this month). (unit: binary) |
| falling_flag | integer | 1 when ur_mom_pp is negative (rate fell this month). (unit: binary) |
| rapid_rise_flag | integer | 1 when ur_mom_pp >= 0.3 pp (sharp monthly jump). (unit: binary) |
| record_low_12m_flag | integer | 1 when the rate equals the trailing-12-month minimum (inclusive, minimum 12 observations). (unit: binary) |
| record_high_12m_flag | integer | 1 when the rate equals the trailing-12-month maximum (inclusive, minimum 12 observations). (unit: binary) |
| us_unemployment_rate | float | Month-level context: national SA unemployment rate (series LNS14000000, CPS household survey headline). (unit: percent) |
| state_minus_us_pp | float | Month-level context: state rate minus national rate, in percentage points. Positive = the state runs hotter than the nation. (unit: pp) |
| national_spread_pp | float | Month-level context: max minus min state ur_sa_pct that month — the national divergence gauge. (unit: pp) |
| n_rising | integer | Month-level context: how many of the 52 geos saw their rate rise that month (breadth gauge). (unit: count) |
| n_falling | integer | Month-level context: how many of the 52 geos saw their rate fall that month (breadth gauge). (unit: count) |
| bls_series_id | string | BLS series id behind the row (LASST{ff}0000000000003). |
| row_hash | string | Deterministic 16-hex row hash of geo_code + month (idempotency). |
10 premières lignes d’exemple — un aperçu, pas le jeu de données complet.
| month | country_code | state_fips | geo_code | geo_name | ur_sa_pct | ur_mom_pp | ur_yoy_pp | ur_3m_pp | labor_distress_score | distress_rank | distress_tier | unemployment_rank | rising_flag | falling_flag | rapid_rise_flag | record_low_12m_flag | record_high_12m_flag | us_unemployment_rate | state_minus_us_pp | national_spread_pp | n_rising | n_falling | bls_series_id | row_hash |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2017-01-01 | USA | 01 | al | Alabama | 5,4 | — | — | — | 38,261 | 7 | t4 | 45 | 0 | 0 | 0 | 0 | 0 | 4,7 | 0,7 | 9,2 | 0 | 0 | LASST010000000000003 | 54534dc817024b95 |
| 2017-01-01 | USA | 02 | ak | Alaska | 6,7 | — | — | — | 46,739 | 3 | t4 | 50 | 0 | 0 | 0 | 0 | 0 | 4,7 | 2 | 9,2 | 0 | 0 | LASST020000000000003 | 85652940fcaa4d93 |
| 2017-01-01 | USA | 04 | az | Arizona | 5,2 | — | — | — | 36,957 | 12 | t3 | 38 | 0 | 0 | 0 | 0 | 0 | 4,7 | 0,5 | 9,2 | 0 | 0 | LASST040000000000003 | 8f4f37a0bc75caed |
| 2017-01-01 | USA | 05 | ar | Arkansas | 3,8 | — | — | — | 27,826 | 39 | t1 | 13 | 0 | 0 | 0 | 0 | 0 | 4,7 | -0,9 | 9,2 | 0 | 0 | LASST050000000000003 | 9ee95d0adcced3ac |
| 2017-01-01 | USA | 06 | ca | California | 5,3 | — | — | — | 37,609 | 9 | t4 | 42 | 0 | 0 | 0 | 0 | 0 | 4,7 | 0,6 | 9,2 | 0 | 0 | LASST060000000000003 | 5424542f017e0428 |
| 2017-01-01 | USA | 08 | co | Colorado | 2,6 | — | — | — | 20 | 51 | t1 | 1 | 0 | 0 | 0 | 0 | 0 | 4,7 | -2,1 | 9,2 | 0 | 0 | LASST080000000000003 | 423e9b033c302e69 |
| 2017-01-01 | USA | 09 | ct | Connecticut | 4,6 | — | — | — | 33,043 | 24 | t2 | 26 | 0 | 0 | 0 | 0 | 0 | 4,7 | -0,1 | 9,2 | 0 | 0 | LASST090000000000003 | f6a2a6fb0954b670 |
| 2017-01-01 | USA | 10 | de | Delaware | 4,6 | — | — | — | 33,043 | 24 | t3 | 26 | 0 | 0 | 0 | 0 | 0 | 4,7 | -0,1 | 9,2 | 0 | 0 | LASST100000000000003 | 9b98008d1c86027c |
| 2017-01-01 | USA | 11 | dc | District of Columbia | 6,3 | — | — | — | 44,13 | 4 | t4 | 49 | 0 | 0 | 0 | 0 | 0 | 4,7 | 1,6 | 9,2 | 0 | 0 | LASST110000000000003 | 5696e7b01d47caa3 |
| 2017-01-01 | USA | 12 | fl | Florida | 4,7 | — | — | — | 33,696 | 22 | t3 | 30 | 0 | 0 | 0 | 0 | 0 | 4,7 | 0 | 9,2 | 0 | 0 | LASST120000000000003 | c3fcbb25a692319d |
- Actuelle
20260927T033529Z-2418162152aa · sha256 2418162152aa…
6 032 lignes · premier instantané
Dirigez n’importe quel LLM vers le point d’accès des métadonnées — la documentation ci-dessus est aussi lisible par machine (JSON-LD + Croissant).
curl "https://datazimuts.com/v1/datasets/bls_state_unemployment_intel/us_state_unemployment_rate_monthly" | jq '{title, rows, columns_count, license}'import requests
ds = requests.get("https://datazimuts.com/v1/datasets/bls_state_unemployment_intel/us_state_unemployment_rate_monthly").json()
print(ds["title"], ds["rows"], "rows")
# Sample rows for an LLM context window
for row in ds.get("sample_rows", [])[:5]:
print(row)Point d’accès API : https://datazimuts.com/v1/datasets/bls_state_unemployment_intel/us_state_unemployment_rate_monthly
Astuce : récupérez /llms.txt pour le catalogue complet lisible par machine.
D’où viennent ces données et ce qui en a été fait. Le travail des autres apparaît sous forme de décomptes ; seuls les projets partagés sont nommés.
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Épinglé à l’instantané 20260927T033529Z-2418162152aa et à son empreinte, pour que vos lecteurs obtiennent exactement les données utilisées.
U.S. Bureau of Labor Statistics. (2026). US state unemployment-rate intelligence (monthly) [Data set, snapshot 20260927T033529Z-2418162152aa, sha256 2418162152aa]. Datazimuts. Retrieved 2026-09-27, from https://datazimuts.com/fr/datasets/bls_state_unemployment_intel/us_state_unemployment_rate_monthly?snapshot=20260927T033529Z-2418162152aa
@misc{dz_bls_state_unemployment_intel_us_state_un_24181621,
title = {{US state unemployment-rate intelligence (monthly)}},
author = {{U.S. Bureau of Labor Statistics}},
year = {2026},
publisher = {Datazimuts},
howpublished = {\url{https://datazimuts.com/fr/datasets/bls_state_unemployment_intel/us_state_unemployment_rate_monthly?snapshot=20260927T033529Z-2418162152aa}},
note = {Snapshot 20260927T033529Z-2418162152aa, sha256 2418162152aade2078e66167c111d87504622fac96acdcc655aa32a451d7f5a5; accessed 2026-09-27}
}Intégrer un tableau ou un graphique
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<iframe src="https://datazimuts.com/embed/chart?dataset=bls_state_unemployment_intel%2Fus_state_unemployment_rate_monthly&lang=fr&theme=auto&snapshot=20260927T033529Z-2418162152aa&x=month&y=ur_sa_pct&agg=avg" title="US state unemployment-rate intelligence (monthly)" width="100%" height="380" style="border:0" loading="lazy"></iframe>
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