US county migration intelligence (annual)
Usage commercial OKÀ jour
Interroger dans l’atelierLe jeu complet n’est pas encore publié — revenez après la prochaine actualisation.Télécharger l'exemple CSVTélécharger l'exemple JSONLignes d’exemple seulement (jusqu’à 20) — pas le jeu de données complet.
IRS Statistics of Income county-to-county migration, tax years 2022->2023 (keyless official xlsx, U.S. public domain): per-county panel (~3,140 counties + DC) of official inflow/outflow/net migration of tax filers, individuals and AGI, non-migrant filer base, net migration rate per 1,000 filers, average AGI per return in vs out with a wealth-flow delta, foreign and disclosure-bundled "other" flow residuals, top-5 inflow/outflow corridors from disclosed (>=20-return) county pairs, inflow concentration (HHI), a documented 0-100 migration-magnet score with national rank and e1-e5 tiers, and wealth-gain / foreign-hub / high-churn flags. Identity-gated: official 96/000 totals reconcile to detail+other+foreign per county; suppressed (<20-return) flows are bundled by the publisher into "other" residuals, never zeroed. Sample use: order by magnet_rank for the strongest magnets, or filter state_abbr for within-state migration geography.
Les titres et les descriptions proviennent des sources de données, en anglais.
- Lignes
- 3 087
- Colonnes
- 41
- Cadence de la source
- Annuelle
- Dernière actualisation
- 27 sept. 2026
- Thème
- demographics
| Colonne | Type | Description |
|---|---|---|
| vintage | string | IRS SOI tax-year pair of the migration vintage. |
| county_fips | string | 5-digit FIPS county code (state + county). (unit: FIPS) |
| county_name | string | County name as published by IRS SOI. |
| state_fips | string | 2-digit state FIPS code. (unit: FIPS) |
| state_abbr | string | USPS state abbreviation. |
| state_name | string | State name. |
| country_code | string | ISO alpha-3 country code (USA for every row). (unit: ISO 3166-1 alpha-3) |
| inflow_returns | float | Official 96/000 total: matched returns that moved INTO the county. (unit: returns) |
| inflow_individuals | float | Official total individuals (exemptions) that moved into the county. (unit: individuals) |
| inflow_agi_k | float | Official total AGI of in-migrants. (unit: thousands of dollars) |
| outflow_returns | float | Official 96/000 total: matched returns that moved OUT of the county. (unit: returns) |
| outflow_individuals | float | Official total individuals that moved out of the county. (unit: individuals) |
| outflow_agi_k | float | Official total AGI of out-migrants. (unit: thousands of dollars) |
| net_returns | float | inflow_returns - outflow_returns. (unit: returns) |
| net_individuals | float | inflow_individuals - outflow_individuals. (unit: individuals) |
| net_agi_k | float | inflow_agi_k - outflow_agi_k. (unit: thousands of dollars) |
| gross_returns | float | inflow_returns + outflow_returns (total migrant returns touching the county). (unit: returns) |
| nonmig_returns | float | Matched returns that stayed in the county (non-migrants). (unit: returns) |
| nonmig_individuals | float | Individuals on non-migrant returns. (unit: individuals) |
| total_filers | float | nonmig_returns + outflow_returns: every 2022 filer in the county either stayed or left. (unit: returns) |
| net_rate_per_1k_filers | float | 1000 * net_returns / total_filers: net migration rate per 1,000 filers. (unit: per 1,000 filers) |
| avg_agi_per_return_inflow | float | inflow_agi_k*1000 / inflow_returns. (unit: dollars) |
| avg_agi_per_return_outflow | float | outflow_agi_k*1000 / outflow_returns. (unit: dollars) |
| agi_delta_per_return | float | avg_agi_per_return_inflow - avg_agi_per_return_outflow: positive = the county gains richer movers than it loses. (unit: dollars) |
| foreign_inflow_returns | float | Inflow residual from foreign pseudo-codes 57/001..009 (Overseas, Puerto Rico, APO/FPO, U.S. Virgin Islands, Other). (unit: returns) |
| foreign_outflow_returns | float | Outflow residual to foreign pseudo-codes 57/001..009. (unit: returns) |
| other_inflow_returns | float | "Other flows" residual: disclosure-suppressed (<20-return) domestic flows bundled by the publisher (58/000 same-state + 59/00x different-state). (unit: returns) |
| other_outflow_returns | float | "Other flows" residual for outflows (58/000 + 59/00x). (unit: returns) |
| detail_inflow_returns | float | Sum of disclosed (>=20-return) detail inflow pairs. (unit: returns) |
| detail_outflow_returns | float | Sum of disclosed (>=20-return) detail outflow pairs. (unit: returns) |
| top_inflow_corridors | string | Top-5 inflow corridors from disclosed detail pairs, '<fips>|<name>|<individuals>' joined by ';'. |
| top_outflow_corridors | string | Top-5 outflow corridors from disclosed detail pairs, '<fips>|<name>|<individuals>' joined by ';'. |
| inflow_hhi | float | Herfindahl-Hirschman concentration of detailed inflow individuals across origin counties (0-1). (unit: index 0-1) |
| migration_magnet_score | float | Documented 0-100 composite: 100 * min-max of the winsorized (p1/p99) net_rate_per_1k_filers panel. 100 = strongest magnet. (unit: score 0-100) |
| magnet_rank | integer | National rank by migration_magnet_score (1 = strongest magnet; ties broken by county_fips). (unit: rank) |
| magnet_tier | string | Score tier: e1 magnet (>=90), e2 attractor (75-90), e3 balanced (25-75), e4 drainer (10-25), e5 exodus (<10). |
| wealth_gain_flag | integer | 1 when agi_delta_per_return > 0 (county gains richer movers than it loses). (unit: 0/1) |
| foreign_hub_flag | integer | 1 when foreign inflow is >= 15% of official inflow. (unit: 0/1) |
| high_churn_flag | integer | 1 when gross_returns >= 50% of total_filers (very high turnover). (unit: 0/1) |
| row_hash | string | Deterministic 16-hex SHA-256 over county_fips + vintage + net/inflow/outflow returns + magnet score. |
| source_url | string | IRS SOI migration data landing page. (unit: URL) |
10 premières lignes d’exemple — un aperçu, pas le jeu de données complet.
| vintage | county_fips | county_name | state_fips | state_abbr | state_name | country_code | inflow_returns | inflow_individuals | inflow_agi_k | outflow_returns | outflow_individuals | outflow_agi_k | net_returns | net_individuals | net_agi_k | gross_returns | nonmig_returns | nonmig_individuals | total_filers | net_rate_per_1k_filers | avg_agi_per_return_inflow | avg_agi_per_return_outflow | agi_delta_per_return | foreign_inflow_returns | foreign_outflow_returns | other_inflow_returns | other_outflow_returns | detail_inflow_returns | detail_outflow_returns | top_inflow_corridors | top_outflow_corridors | inflow_hhi | migration_magnet_score | magnet_rank | magnet_tier | wealth_gain_flag | foreign_hub_flag | high_churn_flag | row_hash | source_url |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2022-2023 | 02016 | Aleutians West Census Area | 02 | AK | Alaska | USA | 222 | 307 | 11 479 | 144 | 255 | 10 811 | 78 | 52 | 668 | 366 | 1 304 | 2 470 | 1 448 | 53,867 | 51 707,207 | 75 076,389 | -23 369,182 | 28 | 0 | 194 | 144 | 0 | 0 | — | — | — | 100 | 1 | e1 | 0 | 0 | 0 | 3480243128db35a5 | https://www.irs.gov/statistics/soi-tax-stats-migration-data-2022-2023 |
| 2022-2023 | 04021 | Pinal County | 04 | AZ | Arizona | USA | 20 538 | 38 712 | 1 442 283 | 13 796 | 25 012 | 822 920 | 6 742 | 13 700 | 619 363 | 34 334 | 154 470 | 327 262 | 168 266 | 40,068 | 70 225,095 | 59 649,174 | 10 575,921 | 51 | 79 | 4 112 | 4 210 | 16 375 | 9 507 | 04013|Maricopa County|20751;04019|Pima County|1428;06037|Los Angeles County|618;06073|San Diego County|505;06065|Riverside County|416 | 04013|Maricopa County|11753;04019|Pima County|1317;04017|Navajo County|309;04025|Yavapai County|262;04007|Gila County|220 | 0,446 | 100 | 2 | e1 | 1 | 0 | 0 | 1b8dc9ea51b26032 | https://www.irs.gov/statistics/soi-tax-stats-migration-data-2022-2023 |
| 2022-2023 | 08023 | Costilla County | 08 | CO | Colorado | USA | 135 | 240 | 5 661 | 87 | 155 | 3 783 | 48 | 85 | 1 878 | 222 | 1 228 | 2 365 | 1 315 | 36,502 | 41 933,333 | 43 482,759 | -1 549,425 | 0 | 0 | 113 | 66 | 22 | 21 | 08003|Alamosa County|33 | 08003|Alamosa County|34 | 1 | 100 | 3 | e1 | 0 | 0 | 0 | 96fadb34624e4937 | https://www.irs.gov/statistics/soi-tax-stats-migration-data-2022-2023 |
| 2022-2023 | 12029 | Dixie County | 12 | FL | Florida | USA | 517 | 1 002 | 23 767 | 317 | 614 | 12 373 | 200 | 388 | 11 394 | 834 | 4 421 | 9 103 | 4 738 | 42,212 | 45 970,986 | 39 031,546 | 6 939,441 | 0 | 0 | 362 | 182 | 155 | 135 | 12041|Gilchrist County|98;12075|Levy County|87;12001|Alachua County|70;12103|Pinellas County|39 | 12075|Levy County|115;12041|Gilchrist County|86;12001|Alachua County|53 | 0,273 | 100 | 4 | e1 | 1 | 0 | 0 | f7c0f8507cd41f20 | https://www.irs.gov/statistics/soi-tax-stats-migration-data-2022-2023 |
| 2022-2023 | 12035 | Flagler County | 12 | FL | Florida | USA | 6 323 | 11 393 | 581 642 | 4 228 | 7 038 | 263 089 | 2 095 | 4 355 | 318 553 | 10 551 | 51 817 | 97 336 | 56 045 | 37,381 | 91 988,297 | 62 225,402 | 29 762,895 | 39 | 36 | 2 725 | 2 004 | 3 559 | 2 188 | 12127|Volusia County|1699;12109|St. Johns County|703;12031|Duval County|435;12095|Orange County|228;12011|Broward County|218 | 12127|Volusia County|1396;12109|St. Johns County|579;12031|Duval County|324;12107|Putnam County|216;12095|Orange County|138 | 0,099 | 100 | 5 | e1 | 1 | 0 | 0 | 14ea5ced9877ecfe | https://www.irs.gov/statistics/soi-tax-stats-migration-data-2022-2023 |
| 2022-2023 | 12069 | Lake County | 12 | FL | Florida | USA | 19 416 | 35 508 | 1 567 080 | 13 236 | 22 653 | 785 502 | 6 180 | 12 855 | 781 578 | 32 652 | 154 677 | 299 791 | 167 913 | 36,805 | 80 710,754 | 59 345,875 | 21 364,879 | 126 | 119 | 4 859 | 4 379 | 14 431 | 8 738 | 12095|Orange County|8287;12117|Seminole County|1667;12097|Osceola County|1572;12105|Polk County|1569;12119|Sumter County|1329 | 12095|Orange County|3559;12083|Marion County|1723;12105|Polk County|1537;12119|Sumter County|1333;12097|Osceola County|859 | 0,119 | 100 | 6 | e1 | 1 | 0 | 0 | 68e45e1f01d59c23 | https://www.irs.gov/statistics/soi-tax-stats-migration-data-2022-2023 |
| 2022-2023 | 12083 | Marion County | 12 | FL | Florida | USA | 15 945 | 28 624 | 1 047 764 | 9 995 | 17 216 | 540 283 | 5 950 | 11 408 | 507 481 | 25 940 | 149 877 | 285 746 | 159 872 | 37,217 | 65 711,132 | 54 055,328 | 11 655,804 | 124 | 103 | 4 889 | 4 125 | 10 932 | 5 767 | 12069|Lake County|1723;12095|Orange County|1188;12086|Miami-Dade County|1075;12011|Broward County|1059;12119|Sumter County|931 | 12069|Lake County|1202;12017|Citrus County|947;12119|Sumter County|869;12001|Alachua County|842;12095|Orange County|495 | 0,032 | 100 | 7 | e1 | 1 | 0 | 0 | f8243f9261273afb | https://www.irs.gov/statistics/soi-tax-stats-migration-data-2022-2023 |
| 2022-2023 | 12101 | Pasco County | 12 | FL | Florida | USA | 28 441 | 52 217 | 2 175 331 | 19 430 | 33 787 | 1 208 149 | 9 011 | 18 430 | 967 182 | 47 871 | 224 110 | 444 574 | 243 540 | 37 | 76 485,742 | 62 179,568 | 14 306,175 | 187 | 162 | 5 129 | 5 558 | 23 125 | 13 710 | 12057|Hillsborough County|15086;12103|Pinellas County|6976;12053|Hernando County|2229;12105|Polk County|889;12086|Miami-Dade County|670 | 12057|Hillsborough County|6980;12053|Hernando County|3811;12103|Pinellas County|3407;12105|Polk County|899;12017|Citrus County|700 | 0,16 | 100 | 8 | e1 | 1 | 0 | 0 | 6d5a65a061d678ca | https://www.irs.gov/statistics/soi-tax-stats-migration-data-2022-2023 |
| 2022-2023 | 12119 | Sumter County | 12 | FL | Florida | USA | 8 047 | 13 656 | 853 671 | 5 035 | 8 313 | 451 951 | 3 012 | 5 343 | 401 720 | 13 082 | 63 440 | 109 189 | 68 475 | 43,987 | 106 085,622 | 89 761,867 | 16 323,755 | 38 | 37 | 3 675 | 2 420 | 4 334 | 2 578 | 12069|Lake County|1333;12083|Marion County|869;12095|Orange County|362;48373|Polk County|308;12101|Pasco County|295 | 12069|Lake County|1329;12083|Marion County|931;12017|Citrus County|263;12101|Pasco County|198;12057|Hillsborough County|165 | 0,061 | 100 | 9 | e1 | 1 | 0 | 0 | 4950a6ee4841ede6 | https://www.irs.gov/statistics/soi-tax-stats-migration-data-2022-2023 |
| 2022-2023 | 13085 | Dawson County | 13 | GA | Georgia | USA | 1 837 | 3 496 | 148 420 | 1 196 | 2 140 | 98 591 | 641 | 1 356 | 49 829 | 3 033 | 10 582 | 21 869 | 11 778 | 54,424 | 80 794,774 | 82 433,946 | -1 639,172 | 0 | 0 | 536 | 425 | 1 301 | 771 | 13117|Forsyth County|1111;13121|Fulton County|350;13187|Lumpkin County|319;13139|Hall County|229;13135|Gwinnett County|190 | 13117|Forsyth County|480;13187|Lumpkin County|321;13139|Hall County|200;13057|Cherokee County|113;13121|Fulton County|81 | 0,249 | 100 | 10 | e1 | 0 | 0 | 0 | 92ae428af300e6b0 | https://www.irs.gov/statistics/soi-tax-stats-migration-data-2022-2023 |
- Actuelle
20260927T230509Z-51e0b008896f · sha256 51e0b008896f…
3 087 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
curl "https://datazimuts.com/v1/datasets/irs_county_migration_intel/us_county_migration_annual" | jq '{title, rows, columns_count, license}'Python
import requests
ds = requests.get("https://datazimuts.com/v1/datasets/irs_county_migration_intel/us_county_migration_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/irs_county_migration_intel/us_county_migration_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 20260927T230509Z-51e0b008896f et à son empreinte, pour que vos lecteurs obtiennent exactement les données utilisées.
APA
. (2026). US county migration intelligence (annual) [Data set, snapshot 20260927T230509Z-51e0b008896f, sha256 51e0b008896f]. Datazimuts. Retrieved 2026-09-28, from https://datazimuts.com/fr/datasets/irs_county_migration_intel/us_county_migration_annual?snapshot=20260927T230509Z-51e0b008896f
BibTeX
@misc{dz_irs_county_migration_intel_us_county_mig_51e0b008,
title = {{US county migration intelligence (annual)}},
author = {{}},
year = {2026},
publisher = {Datazimuts},
howpublished = {\url{https://datazimuts.com/fr/datasets/irs_county_migration_intel/us_county_migration_annual?snapshot=20260927T230509Z-51e0b008896f}},
note = {Snapshot 20260927T230509Z-51e0b008896f, sha256 51e0b008896f7329bdf937640809eb641e0ae2adad62150108b4dd57a6e5b6bf; accessed 2026-09-28}
}Intégrer un tableau ou un graphique
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HTML
<iframe src="https://datazimuts.com/embed/chart?dataset=irs_county_migration_intel%2Fus_county_migration_annual&lang=fr&theme=auto&snapshot=20260927T230509Z-51e0b008896f&x=vintage&y=inflow_returns&agg=avg" title="US county migration intelligence (annual)" width="100%" height="380" style="border:0" loading="lazy"></iframe>
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