US metro employment momentum intelligence (monthly)
Monthly US metro employment momentum intelligence from the BLS Current Employment Statistics state-and-area program (keyless BLS Public Data API v2): total-nonfarm employment for the 50 largest metropolitan statistical areas, with year-over-year and smoothed momentum growth, a documented 0-100 metro employment-momentum score with per-month metro ranks, expanding / contracting / accelerating / 24-month-record-high flags, and month-level context: the national headline YoY, each metro's divergence from it, and the national spread. Metro CES is published not seasonally adjusted, so every momentum signal is YoY-based (seasonality-safe); month-over-month changes are deliberately excluded. Consistent methodology window 2017-01 onward. Caveats: the latest month is preliminary and routinely revised; estimates are 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
- 5 800
- Colonnes
- 21
- Cadence de la source
- Mensuelle
- Dernière actualisation
- 1 oct. 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 (2017 supplies the 12-month lags, so YoY signals start 2018-01). (unit: ISO date) |
| country_code | string | ISO alpha-3 country code (USA for every row). (unit: ISO 3166-1 alpha-3) |
| cbsa_code | string | 5-digit OMB Core-Based Statistical Area code of the metropolitan statistical area (e.g. 35620 = New York-Newark-Jersey City). Primary join key with month. |
| metro_name | string | OMB Bulletin 23-01 CBSA title (display label; multi-state MSAs list every state). |
| primary_state_fips | string | Census FIPS code of the MSA's primary state (the first-named city), used in the BLS metro series id. |
| bls_series_id | string | BLS series id behind the row (SMU{state_fips}{cbsa}00000000001, total nonfarm, not seasonally adjusted). |
| employment_thousands | float | Published total-nonfarm employment, all employees, kept verbatim as published (metro CES is not seasonally adjusted). (unit: thousands of jobs) |
| emp_yoy_pct | float | Year-over-year percent change of unadjusted employment (the seasonality-safe momentum measure). (unit: percent) |
| emp_12mma_yoy_pct | float | Year-over-year percent change of the trailing-12-month moving average (smoothed momentum). (unit: percent) |
| emp_vs_12mma_pct | float | Current level versus its trailing-12-month average, in percent (cyclical position: above 0 = running hot). (unit: percent) |
| metro_employment_momentum_score | float | Documented 0-100 composite: 100 * (0.50 * min-max(winsorized emp_yoy_pct, +/-5) + 0.30 * min-max(winsorized emp_12mma_yoy_pct, +/-5) + 0.20 * min-max(winsorized emp_vs_12mma_pct, +/-2.5)), min-maxed within each month across the 50 metros. Higher = hottest metro job market versus peers this month. (unit: 0-100 score) |
| metro_momentum_rank | integer | Per-month rank of metro_employment_momentum_score across the 50 metros (1 = hottest). (unit: rank) |
| expanding_flag | integer | 1 when emp_yoy_pct is positive. (unit: binary) |
| contracting_flag | integer | 1 when emp_yoy_pct is negative. (unit: binary) |
| accelerating_flag | integer | 1 when emp_yoy_pct exceeds emp_12mma_yoy_pct by more than 0.2pp (momentum picking up). (unit: binary) |
| decelerating_flag | integer | 1 when emp_yoy_pct trails emp_12mma_yoy_pct by more than 0.2pp (momentum cooling). (unit: binary) |
| record_high_24m_flag | integer | 1 when employment equals the trailing-24-month maximum (inclusive, minimum 24 observations). (unit: binary) |
| national_yoy_pct | float | Month-level context: YoY percent change of the national CES headline (series CES0000000001, all employees, thousands, total nonfarm, seasonally adjusted). (unit: percent) |
| yoy_gap_vs_national_pp | float | Month-level context: metro YoY minus national YoY, in percentage points. Positive = the metro outruns the nation. (unit: pp) |
| national_spread_pp | float | Month-level context: max minus min metro emp_yoy_pct that month — the national divergence gauge. (unit: pp) |
| row_hash | string | Deterministic 16-hex row hash of cbsa_code + month (idempotency). |
10 premières lignes d’exemple — un aperçu, pas le jeu de données complet.
| month | country_code | cbsa_code | metro_name | primary_state_fips | bls_series_id | employment_thousands | emp_yoy_pct | emp_12mma_yoy_pct | emp_vs_12mma_pct | metro_employment_momentum_score | metro_momentum_rank | expanding_flag | contracting_flag | accelerating_flag | decelerating_flag | record_high_24m_flag | national_yoy_pct | yoy_gap_vs_national_pp | national_spread_pp | row_hash |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2017-01-01 | USA | 35620 | New York-Newark-Jersey City, NY-NJ | 36 | SMU36356200000000001 | 9 212,6 | — | — | — | — | — | 0 | 0 | 0 | 0 | 0 | — | — | — | 709ce3f8bea3bf8d |
| 2017-01-01 | USA | 31080 | Los Angeles-Long Beach-Anaheim, CA | 06 | SMU06310800000000001 | 5 962,3 | — | — | — | — | — | 0 | 0 | 0 | 0 | 0 | — | — | — | 222c99ed3e261e03 |
| 2017-01-01 | USA | 16980 | Chicago-Naperville-Schaumburg, IL-IN | 17 | SMU17169800000000001 | 4 514,3 | — | — | — | — | — | 0 | 0 | 0 | 0 | 0 | — | — | — | a781b50a87e7e636 |
| 2017-01-01 | USA | 19124 | Dallas-Fort Worth-Arlington, TX | 48 | SMU48191240000000001 | 2 512,4 | — | — | — | — | — | 0 | 0 | 0 | 0 | 0 | — | — | — | d9901ae64b0038ec |
| 2017-01-01 | USA | 26420 | Houston-Pasadena-The Woodlands, TX | 48 | SMU48264200000000001 | 2 967,3 | — | — | — | — | — | 0 | 0 | 0 | 0 | 0 | — | — | — | c893bad53e62e073 |
| 2017-01-01 | USA | 12060 | Atlanta-Sandy Springs-Roswell, GA | 13 | SMU13120600000000001 | 2 677,7 | — | — | — | — | — | 0 | 0 | 0 | 0 | 0 | — | — | — | 6caa40de40506611 |
| 2017-01-01 | USA | 47900 | Washington-Arlington-Alexandria, DC-VA-MD-WV | 11 | SMU11479000000000001 | 3 176,4 | — | — | — | — | — | 0 | 0 | 0 | 0 | 0 | — | — | — | 4c3c32900c73b21c |
| 2017-01-01 | USA | 37980 | Philadelphia-Camden-Wilmington, PA-NJ-DE-MD | 42 | SMU42379800000000001 | 2 850,1 | — | — | — | — | — | 0 | 0 | 0 | 0 | 0 | — | — | — | 408aa35561d840cd |
| 2017-01-01 | USA | 38060 | Phoenix-Mesa-Chandler, AZ | 04 | SMU04380600000000001 | 1 998,7 | — | — | — | — | — | 0 | 0 | 0 | 0 | 0 | — | — | — | 8ca023a5e1027fd1 |
| 2017-01-01 | USA | 14460 | Boston-Cambridge-Newton, MA-NH | 25 | SMU25144600000000001 | 2 631 | — | — | — | — | — | 0 | 0 | 0 | 0 | 0 | — | — | — | 495b08c96cbf355a |
Profilé le 1 oct. 2026 à partir de l’instantané 20261001T043102Z-ec6e5be5fd6d
Mesuré- Complétude
- 95,7 %
- Lignes
- 5 800
- Colonnes
- 21
- Colonnes incomplètes
- 8
| Colonne | Manquant | Distinctes | Plage | Distribution |
|---|---|---|---|---|
| monthvarchar | 0 % | 90 | — |
|
| country_codevarchar | 0 % | 1 | — |
|
| cbsa_codevarchar | 0 % | 57 | — |
|
| metro_namevarchar | 0 % | 56 | — |
|
| primary_state_fipsvarchar | 0 % | 30 | — |
|
| bls_series_idvarchar | 0 % | 48 | — |
|
| employment_thousandsdouble | 0 % | 4 811 | 354,5 → 10 169médiane 1 158 | 115 hors du 1er–99e centile |
| emp_yoy_pctdouble | 10,3 % | 4 896 | -25,74 → 25,43médiane 1,38 | 104 hors du 1er–99e centile |
| emp_12mma_yoy_pctdouble | 19,8 % | 4 382 | -15,24 → 15,41médiane 1,31 | 94 hors du 1er–99e centile |
| emp_vs_12mma_pctdouble | 9,5 % | 5 011 | -24,6 → 8,01médiane 0,7806 | 106 hors du 1er–99e centile |
| metro_employment_momentum_scoredouble | 9,5 % | 4 525 | 0 → 100médiane 50,93 | 53 hors du 1er–99e centile |
| metro_momentum_rankbigint | 9,5 % | 45 | 1 → 50médiane 25 | |
| expanding_flagbigint | 0 % | 2 | 0 → 1médiane 1 | |
| contracting_flagbigint | 0 % | 2 | 0 → 1médiane 0 | |
| accelerating_flagbigint | 0 % | 2 | 0 → 1médiane 0 | |
| decelerating_flagbigint | 0 % | 2 | 0 → 1médiane 0 | |
| record_high_24m_flagbigint | 0 % | 2 | 0 → 1médiane 0 | |
| national_yoy_pctdouble | 10,3 % | 93 | -13,39 → 10,86médiane 1,38 | 100 hors du 1er–99e centile |
| yoy_gap_vs_national_ppdouble | 10,3 % | 5 607 | -13,7 → 16,39médiane 0,0053 | 104 hors du 1er–99e centile |
| national_spread_ppdouble | 10,3 % | 95 | 3,18 → 21,04médiane 4,59 | 150 hors du 1er–99e centile |
| row_hashvarchar | 0 % | 5 337 | — |
|
- Actuelle
20261001T043102Z-ec6e5be5fd6d · sha256 ec6e5be5fd6d…
5 800 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_metro_employment_intel/us_metro_employment_momentum_monthly" | jq '{title, rows, columns_count, license}'import requests
ds = requests.get("https://datazimuts.com/v1/datasets/bls_metro_employment_intel/us_metro_employment_momentum_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_metro_employment_intel/us_metro_employment_momentum_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.
Citer cet instantané
Épinglé à l’instantané 20261001T043102Z-ec6e5be5fd6d et à son empreinte, pour que vos lecteurs obtiennent exactement les données utilisées.
U.S. Bureau of Labor Statistics. (2026). US metro employment momentum intelligence (monthly) [Data set, snapshot 20261001T043102Z-ec6e5be5fd6d, sha256 ec6e5be5fd6d]. Datazimuts. Retrieved 2026-10-01, from https://datazimuts.com/fr/datasets/bls_metro_employment_intel/us_metro_employment_momentum_monthly?snapshot=20261001T043102Z-ec6e5be5fd6d
@misc{dz_bls_metro_employment_intel_us_metro_empl_ec6e5be5,
title = {{US metro employment momentum intelligence (monthly)}},
author = {{U.S. Bureau of Labor Statistics}},
year = {2026},
publisher = {Datazimuts},
howpublished = {\url{https://datazimuts.com/fr/datasets/bls_metro_employment_intel/us_metro_employment_momentum_monthly?snapshot=20261001T043102Z-ec6e5be5fd6d}},
note = {Snapshot 20261001T043102Z-ec6e5be5fd6d, sha256 ec6e5be5fd6d2ec086686030bac8137f75541dfdb3d4aae32b6223ab2ba3eef5; accessed 2026-10-01}
}Intégrer un tableau ou un graphique
Collez ce code dans n’importe quelle page. L’intégration est épinglée au même instantané, suit le thème clair ou sombre du lecteur et affiche toujours la source, la licence et un lien de retour.
<iframe src="https://datazimuts.com/embed/chart?dataset=bls_metro_employment_intel%2Fus_metro_employment_momentum_monthly&lang=fr&theme=auto&snapshot=20261001T043102Z-ec6e5be5fd6d&x=month&y=employment_thousands&agg=avg" title="US metro employment momentum intelligence (monthly)" width="100%" height="380" style="border:0" loading="lazy"></iframe>
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