US county population-component intelligence (annual)
Census Bureau Vintage 2025 county population estimates (keyless official CSV, U.S. public domain): the wide county file reshaped to a county x estimate-year panel (3,144 county-equivalents x 2020-2025) with births, deaths, natural change, domestic and international migration, net migration and residual components, all identity-gated exactly (natural == births - deaths, net == domestic + international, residual == total - natural - net, county sums == state rows) and per-1,000 midyear-population rates cross-checked against the file's own R columns. A documented 0-100 growth-momentum score (50% total rate + 30% net-migration rate + 20% natural rate, winsorized, min-maxed within each estimate year) is ranked nationally (growth_rank) and within each state, tiered g1-g4, with a closed migration-driver taxonomy (migration-led/natural-increase-led/mixed growth and decline, stable) and top-100, bottom-100, migration-reversal, record-high/low-population and growth-streak flags. Primary key: (county_fips, estimate_year). Cadence: yearly; the upstream file is a static annual vintage, so as_of is the vintage year and identical input produces an identical content hash. Caveats: estimates are modeled and revised each vintage (single-vintage consistent series); Puerto Rico municipios are absent upstream; rates use midyear population. Sample use: order by growth_rank within an estimate year for the fastest-growing counties, or filter state_code for within-state migration geography.
Les titres et les descriptions proviennent des sources de données, en anglais.
- Lignes
- 18 864
- Colonnes
- 37
- Cadence de la source
- Annuelle
- Dernière actualisation
- 27 sept. 2026
- Thème
- demographics
| Colonne | Type | Description |
|---|---|---|
| as_of | string | Fixed vintage stamp: the vintage year of the estimates file (identical input yields an identical content hash). (unit: year) |
| vintage | integer | Census population-estimates vintage year. (unit: year) |
| estimate_year | integer | Estimate reference year (July-1 estimates). (unit: year) |
| county_fips | string | 5-digit FIPS (state 2 + county 3); stable primary key with estimate_year. (unit: id) |
| county_name | string | County-equivalent name from the file (includes independent cities). |
| state_code | string | USPS two-letter state/District code. (unit: code) |
| state_name | string | State/District name for the state_code. |
| country_code | string | Constant USA join key. (unit: code) |
| pop_estimate | integer | July-1 resident population estimate. (unit: persons) |
| pop_change | integer | Year-over-year population change (persons). (unit: persons) |
| pop_change_rate_1k | float | Population change per 1,000 midyear population. (unit: per 1,000) |
| births | integer | Births during the estimate year. (unit: persons) |
| deaths | integer | Deaths during the estimate year. (unit: persons) |
| natural_chg | integer | Natural change = births - deaths (identity-gated exact). (unit: persons) |
| natural_rate_1k | float | Natural change per 1,000 midyear population. (unit: per 1,000) |
| domestic_mig | integer | Net domestic migration. (unit: persons) |
| intl_mig | integer | Net international migration. (unit: persons) |
| net_mig | integer | Net migration = domestic + international (identity-gated exact). (unit: persons) |
| net_mig_rate_1k | float | Net migration per 1,000 midyear population. (unit: per 1,000) |
| domestic_mig_rate_1k | float | Net domestic migration per 1,000 midyear population. (unit: per 1,000) |
| intl_mig_rate_1k | float | Net international migration per 1,000 midyear population. (unit: per 1,000) |
| residual | integer | Residual = pop_change - natural_chg - net_mig (identity-gated exact; absorbs vintage revisions). (unit: persons) |
| residual_share_abs_pct | float | |residual| as a share of |pop_change|; null when pop_change is 0. (unit: percent) |
| mig_driver | string | Closed 7-value taxonomy: migration-led / natural-increase-led / mixed growth, migration-driven / natural-decline-led / mixed decline, stable. (unit: category) |
| mig_share_of_change_pct | float | net_mig / pop_change * 100; null when pop_change is 0. (unit: percent) |
| growth_score | float | Documented 0-100 score = 100*(0.50*min-max clip(total_rate_1k,+-20) + 0.30*min-max clip(net_mig_rate_1k,+-15) + 0.20*min-max clip(natural_rate_1k,+-10)), min-maxed within each estimate year. (unit: score) |
| growth_rank | integer | National growth rank within the estimate year (1 = fastest-growing; ties broken by county_fips asc). (unit: rank) |
| growth_tier | string | Rank-quartile tier: g1 (top 25%) .. g4. (unit: tier) |
| state_growth_rank | integer | Growth rank within the county's state and estimate year. (unit: rank) |
| top100_growth_flag | integer | 1 when growth_rank <= 100. (unit: flag) |
| bottom100_decline_flag | integer | 1 when growth_rank is in the bottom 100 of the year. (unit: flag) |
| migration_reversal_flag | integer | 1 when net_mig changes sign vs the prior estimate year. (unit: flag) |
| record_high_pop_flag | integer | 1 when pop_estimate is a new within-vintage high (year > 2020). (unit: flag) |
| record_low_pop_flag | integer | 1 when pop_estimate is a new within-vintage low (year > 2020). (unit: flag) |
| growth_streak_years | integer | Trailing run of estimate years with pop_change > 0 ending at this year. (unit: years) |
| source_url | string | Canonical URL of the official Vintage 2025 county-estimates CSV. (unit: URL) |
| row_hash | string | SHA-256 (16 hex) over the row's content fields; identical input yields an identical hash. (unit: hash) |
10 premières lignes d’exemple — un aperçu, pas le jeu de données complet.
| as_of | vintage | estimate_year | county_fips | county_name | state_code | state_name | country_code | pop_estimate | pop_change | pop_change_rate_1k | births | deaths | natural_chg | natural_rate_1k | domestic_mig | intl_mig | net_mig | net_mig_rate_1k | domestic_mig_rate_1k | intl_mig_rate_1k | residual | residual_share_abs_pct | mig_driver | mig_share_of_change_pct | growth_score | growth_rank | growth_tier | state_growth_rank | top100_growth_flag | bottom100_decline_flag | migration_reversal_flag | record_high_pop_flag | record_low_pop_flag | growth_streak_years | source_url | row_hash |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2025 | 2 025 | 2 020 | 48269 | King County | TX | Texas | USA | 267 | 5 | 18,904 | 1 | 0 | 1 | 3,781 | 4 | 0 | 4 | 15,123 | 15,123 | 0 | 0 | 0 | migration-led growth | 80 | 95,5 | 1 | g1 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | https://www2.census.gov/programs-surveys/popest/datasets/2020-2025/counties/totals/co-est2025-alldata.csv | 882d212bfd9ba49a |
| 2025 | 2 025 | 2 020 | 02282 | Yakutat City and Borough | AK | Alaska | USA | 682 | 20 | 29,762 | 1 | 0 | 1 | 1,488 | 21 | 0 | 21 | 31,25 | 31,25 | 0 | -2 | 10 | migration-led growth | 105 | 92,97 | 2 | g1 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | https://www2.census.gov/programs-surveys/popest/datasets/2020-2025/counties/totals/co-est2025-alldata.csv | 89459e3a9a3dbe02 |
| 2025 | 2 025 | 2 020 | 48033 | Borden County | TX | Texas | USA | 643 | 14 | 22,013 | 1 | 1 | 0 | 0 | 16 | 0 | 16 | 25,157 | 25,157 | 0 | -2 | 14,286 | migration-led growth | 114,29 | 90,43 | 3 | g1 | 2 | 1 | 0 | 0 | 0 | 0 | 1 | https://www2.census.gov/programs-surveys/popest/datasets/2020-2025/counties/totals/co-est2025-alldata.csv | 1dd5a5093b03e94a |
| 2025 | 2 025 | 2 020 | 01125 | Tuscaloosa County | AL | Alabama | USA | 232 604 | 4 471 | 19,408 | 613 | 518 | 95 | 0,412 | 5 141 | 4 | 5 145 | 22,334 | 22,316 | 0,017 | -769 | 17,2 | migration-led growth | 115,07 | 90,39 | 4 | g1 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | https://www2.census.gov/programs-surveys/popest/datasets/2020-2025/counties/totals/co-est2025-alldata.csv | 27c1406377d277eb |
| 2025 | 2 025 | 2 020 | 29063 | DeKalb County | MO | Missouri | USA | 11 605 | 576 | 50,897 | 24 | 31 | -7 | -0,619 | 696 | 0 | 696 | 61,5 | 61,5 | 0 | -113 | 19,618 | migration-led growth | 120,83 | 89,38 | 5 | g1 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | https://www2.census.gov/programs-surveys/popest/datasets/2020-2025/counties/totals/co-est2025-alldata.csv | ea4d94b7b7cd8e9c |
| 2025 | 2 025 | 2 020 | 48301 | Loving County | TX | Texas | USA | 63 | 1 | 16 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 16 | 16 | 0 | 0 | 0 | migration-led growth | 100 | 85,43 | 6 | g1 | 3 | 1 | 0 | 0 | 0 | 0 | 1 | https://www2.census.gov/programs-surveys/popest/datasets/2020-2025/counties/totals/co-est2025-alldata.csv | 44a75672408025ef |
| 2025 | 2 025 | 2 020 | 49009 | Daggett County | UT | Utah | USA | 951 | 15 | 15,898 | 1 | 1 | 0 | 0 | 18 | 0 | 18 | 19,078 | 19,078 | 0 | -3 | 20 | migration-led growth | 120 | 85,31 | 7 | g1 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | https://www2.census.gov/programs-surveys/popest/datasets/2020-2025/counties/totals/co-est2025-alldata.csv | d8dde6bf6ecf55a8 |
| 2025 | 2 025 | 2 020 | 48091 | Comal County | TX | Texas | USA | 163 608 | 2 159 | 13,284 | 389 | 345 | 44 | 0,271 | 2 360 | 2 | 2 362 | 14,533 | 14,521 | 0,012 | -247 | 11,44 | migration-led growth | 109,4 | 82,03 | 8 | g1 | 4 | 1 | 0 | 0 | 0 | 0 | 1 | https://www2.census.gov/programs-surveys/popest/datasets/2020-2025/counties/totals/co-est2025-alldata.csv | 7e7f7eb6ba2118f4 |
| 2025 | 2 025 | 2 020 | 12109 | St. Johns County | FL | Florida | USA | 277 119 | 3 693 | 13,416 | 506 | 560 | -54 | -0,196 | 4 153 | 2 | 4 155 | 15,094 | 15,087 | 0,007 | -408 | 11,048 | migration-led growth | 112,51 | 81,87 | 9 | g1 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | https://www2.census.gov/programs-surveys/popest/datasets/2020-2025/counties/totals/co-est2025-alldata.csv | ac26ac6c7f606c95 |
| 2025 | 2 025 | 2 020 | 30007 | Broadwater County | MT | Montana | USA | 6 860 | 85 | 12,468 | 25 | 8 | 17 | 2,494 | 77 | 0 | 77 | 11,294 | 11,294 | 0 | -9 | 10,588 | migration-led growth | 90,59 | 81,56 | 10 | g1 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | https://www2.census.gov/programs-surveys/popest/datasets/2020-2025/counties/totals/co-est2025-alldata.csv | 3bef5d71d4fea439 |
- Actuelle
20260927T131244Z-0380dcd0da2b · sha256 0380dcd0da2b…
18 864 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_county_pop_intel/us_county_pop_component_annual" | jq '{title, rows, columns_count, license}'import requests
ds = requests.get("https://datazimuts.com/v1/datasets/census_county_pop_intel/us_county_pop_component_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_county_pop_intel/us_county_pop_component_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 20260927T131244Z-0380dcd0da2b et à son empreinte, pour que vos lecteurs obtiennent exactement les données utilisées.
Census County Population-Component Intelligence. (2026). US county population-component intelligence (annual) [Data set, snapshot 20260927T131244Z-0380dcd0da2b, sha256 0380dcd0da2b]. Datazimuts. Retrieved 2026-09-27, from https://datazimuts.com/fr/datasets/census_county_pop_intel/us_county_pop_component_annual?snapshot=20260927T131244Z-0380dcd0da2b
@misc{dz_census_county_pop_intel_us_county_pop_co_0380dcd0,
title = {{US county population-component intelligence (annual)}},
author = {{Census County Population-Component Intelligence}},
year = {2026},
publisher = {Datazimuts},
howpublished = {\url{https://datazimuts.com/fr/datasets/census_county_pop_intel/us_county_pop_component_annual?snapshot=20260927T131244Z-0380dcd0da2b}},
note = {Snapshot 20260927T131244Z-0380dcd0da2b, sha256 0380dcd0da2b7878d61d50df916dce78090c75e74b836e55bae30ab7951bc056; accessed 2026-09-27}
}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_county_pop_intel%2Fus_county_pop_component_annual&lang=fr&theme=auto&snapshot=20260927T131244Z-0380dcd0da2b&x=estimate_year&y=vintage&agg=avg" title="US county population-component intelligence (annual)" width="100%" height="380" style="border:0" loading="lazy"></iframe>
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