US county remote-work intelligence (annual)
Annual US county remote-work intelligence from the Census Bureau American Community Survey 5-year estimates, table B08301 (keyless official bulk .dat, U.S. public domain): the worked-from-home share of workers 16+ for ~3,140 counties and county-equivalents (50 states, DC, Puerto Rico) over the 2021-2024 vintages, with vintage-over-vintage change, per-vintage gaps versus the US national share, a documented 0-100 remote-work score with per-vintage national and within-state ranks and r1-r4 tiers, and top/bottom-decile flags. Estimates only (margins of error not carried). Source: U.S. Census Bureau, American Community Survey.
Les titres et les descriptions proviennent des sources de données, en anglais.
- Source
- U.S. Census Bureau
- Lignes
- 12 887
- Colonnes
- 20
- Cadence de la source
- Annuelle
- Dernière actualisation
- 2 oct. 2026
- Thème
- labor
| Colonne | Type | Description |
|---|---|---|
| year | integer | ACS 5-year vintage end year (e.g. 2024 = 2020-2024 5-year estimates). Table-based summary files start at the 2021 vintage. (unit: year) |
| 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). |
| state_code | string | USPS postal abbreviation of the state/territory (e.g. CA, TX, PR). |
| state_name | string | State/territory name. |
| county_fips | string | 5-digit Census county FIPS code (state + county). |
| county_name | string | County/county-equivalent name (from the per-vintage Geos reference file). |
| total_workers | integer | Workers 16 years and over, the B08301 universe (B08301_001). (unit: workers) |
| wfh_workers | integer | Workers 16 years and over who worked from home (B08301_021). (unit: workers) |
| wfh_share_pct | float | Worked-from-home workers as a share of all workers 16+ (100 * B08301_021 / B08301_001). (unit: percent) |
| wfh_chg_pp | float | Vintage-over-vintage change in the worked-from-home share (percentage points). Null for the 2021 base vintage; never backfilled. ACS 5-year vintages overlap, so treat as a smoothed signal. (unit: percentage points) |
| wfh_gap_vs_us_pp | float | Per-vintage gap versus the US national worked-from-home share: county share minus US share. Positive = county more remote than the nation. (unit: percentage points) |
| us_wfh_share_pct | float | US national worked-from-home share (from the national 0100000US row), broadcast on every row. (unit: percent) |
| remote_work_score | float | Documented 0-100 remote-work score: 100 * (r - 1) / (n - 1) with r the average 1-based rank of the county's worked-from-home share (ascending) inside its vintage. (unit: 0-100) |
| remote_rank_national | integer | Per-vintage rank of worked-from-home share across all counties (1 = most remote; competition ranking, ties share the rank). |
| remote_rank_state | integer | Per-vintage rank of worked-from-home share within the county's state/territory (1 = most remote; competition ranking, ties share the rank). |
| remote_tier | string | Remote-work tier from the score: r4_remote_first (>= 75), r3_remote_heavy (>= 50), r2_hybrid (>= 25), r1_onsite (< 25). |
| top_decile_flag | integer | 1 when the county's national rank is in the top 10% most remote for its vintage. |
| bottom_decile_flag | integer | 1 when the county's national rank is in the bottom 10% (most on-site) for its vintage. |
| row_hash | string | Deterministic 16-hex sha256 over ACSREMOTE|<county_fips>|<year>; stable across re-ingests of identical data. |
10 premières lignes d’exemple — un aperçu, pas le jeu de données complet.
| year | country_code | state_fips | state_code | state_name | county_fips | county_name | total_workers | wfh_workers | wfh_share_pct | wfh_chg_pp | wfh_gap_vs_us_pp | us_wfh_share_pct | remote_work_score | remote_rank_national | remote_rank_state | remote_tier | top_decile_flag | bottom_decile_flag | row_hash |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2 021 | USA | 01 | AL | Alabama | 01001 | Autauga County | 26 458 | 1 254 | 4,74 | — | -4,96 | 9,699 | 31,242 | 2 215 | 19 | r2_hybrid | 0 | 0 | ea5c4dc71cc786ce |
| 2 021 | USA | 01 | AL | Alabama | 01003 | Baldwin County | 102 650 | 8 013 | 7,806 | — | -1,893 | 9,699 | 66,925 | 1 066 | 4 | r3_remote_heavy | 0 | 0 | 64df47547a5510c6 |
| 2 021 | USA | 01 | AL | Alabama | 01005 | Barbour County | 8 461 | 137 | 1,619 | — | -8,08 | 9,699 | 3,292 | 3 115 | 61 | r1_onsite | 0 | 1 | b7c7f9a2c9f7e0fb |
| 2 021 | USA | 01 | AL | Alabama | 01007 | Bibb County | 7 994 | 368 | 4,603 | — | -5,096 | 9,699 | 29,317 | 2 277 | 20 | r2_hybrid | 0 | 0 | a5f3e598bf101cf9 |
| 2 021 | USA | 01 | AL | Alabama | 01009 | Blount County | 23 918 | 678 | 2,835 | — | -6,865 | 9,699 | 10,404 | 2 886 | 47 | r1_onsite | 0 | 0 | 132c10e19b65f219 |
| 2 021 | USA | 01 | AL | Alabama | 01011 | Bullock County | 3 756 | 26 | 0,692 | — | -9,007 | 9,699 | 0,807 | 3 195 | 66 | r1_onsite | 0 | 1 | 6c945e9ad9504dc4 |
| 2 021 | USA | 01 | AL | Alabama | 01013 | Butler County | 7 473 | 199 | 2,663 | — | -7,036 | 9,699 | 9,193 | 2 925 | 48 | r1_onsite | 0 | 1 | 6c32df549acc4e9b |
| 2 021 | USA | 01 | AL | Alabama | 01015 | Calhoun County | 48 508 | 1 463 | 3,016 | — | -6,683 | 9,699 | 12,174 | 2 829 | 41 | r1_onsite | 0 | 0 | 0698d58fa37c9b26 |
| 2 021 | USA | 01 | AL | Alabama | 01017 | Chambers County | 14 891 | 276 | 1,853 | — | -7,846 | 9,699 | 4,224 | 3 085 | 59 | r1_onsite | 0 | 1 | 282d325bec6de991 |
| 2 021 | USA | 01 | AL | Alabama | 01019 | Cherokee County | 9 625 | 244 | 2,535 | — | -7,164 | 9,699 | 8,416 | 2 950 | 49 | r1_onsite | 0 | 1 | c9787660b3a8c37f |
Profilé le 2 oct. 2026 à partir de l’instantané 20261002T033746Z-7513bc0c3568
Mesuré- Complétude
- 98,7 %
- Lignes
- 12 887
- Colonnes
- 20
- Colonnes incomplètes
- 1
| Colonne | Manquant | Distinctes | Plage | Distribution |
|---|---|---|---|---|
| yearbigint | 0 % | 4 | 2 021 → 2 024médiane 2 023 | |
| country_codevarchar | 0 % | 1 | — |
|
| state_fipsvarchar | 0 % | 54 | — |
|
| state_codevarchar | 0 % | 57 | — |
|
| state_namevarchar | 0 % | 59 | — |
|
| county_fipsvarchar | 0 % | 2 816 | — |
|
| county_namevarchar | 0 % | 1 749 | — |
|
| total_workersbigint | 0 % | 11 784 | 25 → 4 753 898médiane 10 782 | 258 hors du 1er–99e centile |
| wfh_workersbigint | 0 % | 4 795 | 0 → 801 832médiane 694 | 249 hors du 1er–99e centile |
| wfh_share_pctdouble | 0 % | 9 161 | 0 → 43,67médiane 7,36 | 258 hors du 1er–99e centile |
| wfh_chg_ppdouble | 25,1 % | 10 975 | -26,67 → 13,28médiane 0,8717 | 194 hors du 1er–99e centile |
| wfh_gap_vs_us_ppdouble | 0 % | 12 447 | -15,11 → 28,56médiane -4,93 | 258 hors du 1er–99e centile |
| us_wfh_share_pctdouble | 0 % | 4 | 9,7 → 15,11médiane 13,49 | 3 221 hors du 1er–99e centile |
| remote_work_scoredouble | 0 % | 7 638 | 0,0155 → 100médiane 50 | 256 hors du 1er–99e centile |
| remote_rank_nationalbigint | 0 % | 3 219 | 1 → 3 221médiane 1 611 | 255 hors du 1er–99e centile |
| remote_rank_statebigint | 0 % | 265 | 1 → 254médiane 39 | 128 hors du 1er–99e centile |
| remote_tiervarchar | 0 % | 4 | — |
|
| top_decile_flagbigint | 0 % | 2 | 0 → 1médiane 0 | |
| bottom_decile_flagbigint | 0 % | 2 | 0 → 1médiane 0 | |
| row_hashvarchar | 0 % | 12 537 | — |
|
- Actuelle
20261002T033746Z-7513bc0c3568 · sha256 7513bc0c3568…
12 887 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/census_acs_county_remotework_intel/us_county_remote_work_annual" | jq '{title, rows, columns_count, license}'import requests
ds = requests.get("https://datazimuts.com/v1/datasets/census_acs_county_remotework_intel/us_county_remote_work_annual").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/census_acs_county_remotework_intel/us_county_remote_work_annual
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 20261002T033746Z-7513bc0c3568 et à son empreinte, pour que vos lecteurs obtiennent exactement les données utilisées.
U.S. Census Bureau. (2026). US county remote-work intelligence (annual) [Data set, snapshot 20261002T033746Z-7513bc0c3568, sha256 7513bc0c3568]. Datazimuts. Retrieved 2026-10-02, from https://datazimuts.com/fr/datasets/census_acs_county_remotework_intel/us_county_remote_work_annual?snapshot=20261002T033746Z-7513bc0c3568
@misc{dz_census_acs_county_remotework_intel_us_co_7513bc0c,
title = {{US county remote-work intelligence (annual)}},
author = {{U.S. Census Bureau}},
year = {2026},
publisher = {Datazimuts},
howpublished = {\url{https://datazimuts.com/fr/datasets/census_acs_county_remotework_intel/us_county_remote_work_annual?snapshot=20261002T033746Z-7513bc0c3568}},
note = {Snapshot 20261002T033746Z-7513bc0c3568, sha256 7513bc0c356807736b8890a429434d8354358533b923cc0011c07ccbb5c7e00e; accessed 2026-10-02}
}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=census_acs_county_remotework_intel%2Fus_county_remote_work_annual&lang=fr&theme=auto&snapshot=20261002T033746Z-7513bc0c3568&x=year&y=year&agg=avg" title="US county remote-work intelligence (annual)" width="100%" height="380" style="border:0" loading="lazy"></iframe>
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