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.

Source
Rows: 3,087
Columns: 41
Source cadence: Yearly
Last refreshed: Sep 27, 2026
Theme: demographics

Column	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)

First 10 sample rows — a preview, not the complete dataset.

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	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	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	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	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	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	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	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	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	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	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	92ae428af300e6b0	https://www.irs.gov/statistics/soi-tax-stats-migration-data-2022-2023

Sep 27, 2026Current
20260927T230509Z-51e0b008896f · sha256 51e0b008896f…
3,087 rows · first snapshot

Point any LLM at the metadata endpoint — the documentation above is machine-readable too (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)

API endpoint: https://datazimuts.com/v1/datasets/irs_county_migration_intel/us_county_migration_annual

Tip: fetch /llms.txt for the full machine-readable catalog.

Where this data comes from and what was made from it. Other people's work shows as counts; only shared projects are named.

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Pinned to snapshot 20260927T230509Z-51e0b008896f and its content hash, so readers get exactly the data you used.

APA

. (2026). US county migration intelligence (annual) [Data set, snapshot 20260927T230509Z-51e0b008896f, sha256 51e0b008896f]. Datazimuts. Retrieved 2026-09-28, from https://datazimuts.com/en/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/en/datasets/irs_county_migration_intel/us_county_migration_annual?snapshot=20260927T230509Z-51e0b008896f}},
  note         = {Snapshot 20260927T230509Z-51e0b008896f, sha256 51e0b008896f7329bdf937640809eb641e0ae2adad62150108b4dd57a6e5b6bf; accessed 2026-09-28}
}

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<iframe src="https://datazimuts.com/embed/chart?dataset=irs_county_migration_intel%2Fus_county_migration_annual&lang=en&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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US county migration intelligence (annual)

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