US counties by net international migration, July to June
Miami-Dade County had the highest net international migration, July to June of 3144 counties in 2022, at 98,977. Lyon County had the lowest, at -27. The median was 22 and the figure for the United States was 1.67 million. Source: the U.S. Census Bureau.
Map of counties, 2022
Top 40 counties, 2022
Full ranking
| Rank | Counties | 2022 | Change on 2021 |
|---|---|---|---|
| 1 | Miami-Dade County Estimated | 98,977 | +555.2% |
| 2 | Harris County Estimated | 64,947 | +366.6% |
| 3 | Los Angeles County Estimated | 62,305 | +414.6% |
| 4 | Broward County Estimated | 36,340 | +441.3% |
| 5 | Cook County Estimated | 30,861 | +367.7% |
| 6 | Queens County Estimated | 30,356 | +375.2% |
| 7 | Orange County Estimated | 28,719 | +451.1% |
| 8 | Dallas County Estimated | 28,196 | +322% |
| 9 | Santa Clara County Estimated | 26,026 | +288.2% |
| 10 | Middlesex County Estimated | 24,401 | +368.7% |
| 11 | Kings County Estimated | 23,956 | +371.8% |
| 12 | Palm Beach County Estimated | 22,784 | +504% |
| 13 | King County Estimated | 22,343 | +158% |
| 14 | Hillsborough County Estimated | 20,994 | +534.1% |
| 15 | Maricopa County Estimated | 19,134 | +246.9% |
| 16 | Orange County Estimated | 16,522 | +330.7% |
| 17 | Alameda County Estimated | 15,793 | +273.1% |
| 18 | Travis County Estimated | 15,376 | +491.6% |
| 19 | Bronx County Estimated | 14,764 | +254.2% |
| 20 | Suffolk County Estimated | 14,546 | +314.7% |
| 21 | Montgomery County Estimated | 13,819 | +374.6% |
| 22 | San Diego County Estimated | 13,358 | +391.6% |
| 23 | Hudson County Estimated | 12,883 | +332.3% |
| 24 | New York County Estimated | 12,661 | +218.3% |
| 25 | Essex County Estimated | 12,391 | +458.7% |
| 26 | Franklin County Estimated | 12,313 | +327.7% |
| 27 | Tarrant County Estimated | 11,963 | +300.6% |
| 28 | Prince George's County Estimated | 11,922 | +366.6% |
| 29 | Collin County Estimated | 11,900 | +315.6% |
| 30 | Philadelphia County Estimated | 11,845 | +340.3% |
| 31 | Mecklenburg County Estimated | 11,757 | +272.6% |
| 32 | Sacramento County Estimated | 11,193 | +361.6% |
| 33 | Salt Lake County Estimated | 11,109 | +803.2% |
| 34 | Fairfax County Estimated | 10,935 | +156.5% |
| 35 | Bexar County Estimated | 10,595 | +498.6% |
| 36 | Gwinnett County Estimated | 9,902 | +419.2% |
| 37 | Marion County Estimated | 9,757 | +431.7% |
| 38 | Osceola County Estimated | 9,659 | +500.7% |
| 39 | Duval County Estimated | 9,314 | +589.4% |
| 40 | Middlesex County Estimated | 9,090 | +358.9% |
| 41 | Fort Bend County Estimated | 8,911 | +259.9% |
| 42 | Lee County Estimated | 8,665 | +622.7% |
| 43 | Essex County Estimated | 8,525 | +322.9% |
| 44 | Union County Estimated | 8,452 | +557.2% |
| 45 | Suffolk County Estimated | 7,969 | +575.9% |
| 46 | Clark County Estimated | 7,960 | +158.9% |
| 47 | San Francisco County Estimated | 7,837 | +284.2% |
| 48 | Worcester County Estimated | 7,672 | +397.5% |
| 49 | San Mateo County Estimated | 7,632 | +345% |
| 50 | District of Columbia Estimated | 7,513 | +330.5% |
| 51 | Contra Costa County Estimated | 7,368 | +339.6% |
| 52 | Oakland County Estimated | 7,098 | +254.9% |
| 53 | San Bernardino County Estimated | 6,885 | +1,038% |
| 54 | Hennepin County Estimated | 6,670 | +272% |
| 55 | Norfolk County Estimated | 6,546 | +300.9% |
| 56 | Davidson County Estimated | 6,531 | +522% |
| 57 | Wake County Estimated | 6,487 | +231.3% |
| 58 | Western Connecticut Planning Region Estimated | 6,359 | +314.5% |
| 59 | Jefferson County Estimated | 6,298 | +691.2% |
| 60 | Westchester County Estimated | 6,291 | +345.9% |
| 61 | DeKalb County Estimated | 6,276 | +257.8% |
| 61 | Wayne County Estimated | 6,276 | +327.5% |
| 63 | Jefferson Parish Estimated | 6,252 | +600.1% |
| 64 | Bergen County Estimated | 6,242 | +359.6% |
| 65 | Riverside County Estimated | 6,208 | +870% |
| 66 | Fulton County Estimated | 6,116 | +224.3% |
| 67 | Passaic County Estimated | 6,103 | +489.7% |
| 68 | Providence County Estimated | 6,048 | +565.3% |
| 69 | Denton County Estimated | 6,038 | +365.2% |
| 70 | Nassau County Estimated | 5,894 | +446.2% |
| 71 | Capitol Planning Region Estimated | 5,872 | +246% |
| 72 | DuPage County Estimated | 5,853 | +366.7% |
| 73 | Collier County Estimated | 5,824 | +554.4% |
| 74 | Arapahoe County Estimated | 5,746 | +492.4% |
| 75 | Cobb County Estimated | 5,682 | +352.4% |
| 76 | Milwaukee County Estimated | 5,298 | +436.2% |
| 77 | Polk County Estimated | 5,142 | +522.5% |
| 78 | Dane County Estimated | 4,800 | +428.6% |
| 79 | Hamilton County Estimated | 4,630 | +325.2% |
| 80 | Baltimore County Estimated | 4,570 | +312.1% |
| 81 | Cuyahoga County Estimated | 4,553 | +276.3% |
| 82 | Mercer County Estimated | 4,527 | +454.1% |
| 83 | Fresno County Estimated | 4,450 | +696.1% |
| 84 | Denver County Estimated | 4,340 | +517.4% |
| 85 | Snohomish County Estimated | 4,278 | +186.9% |
| 86 | Williamson County Estimated | 4,194 | +456.2% |
| 87 | Shelby County Estimated | 4,180 | +739.4% |
| 88 | San Joaquin County Estimated | 4,111 | +506.3% |
| 89 | Utah County Estimated | 4,098 | +732.9% |
| 90 | Montgomery County Estimated | 4,095 | +439.5% |
| 91 | Pinellas County Estimated | 4,063 | +409.8% |
| 92 | Prince William County Estimated | 3,888 | +180.5% |
| 93 | Seminole County Estimated | 3,804 | +391.5% |
| 94 | Greater Bridgeport Planning Region Estimated | 3,769 | +317.8% |
| 95 | Tulsa County Estimated | 3,746 | +479% |
| 96 | Oklahoma County Estimated | 3,561 | +477.1% |
| 97 | Allegheny County Estimated | 3,490 | +210.5% |
| 98 | Bristol County Estimated | 3,486 | +382.2% |
| 99 | Ramsey County Estimated | 3,398 | +256.2% |
| 100 | Pima County Estimated | 3,393 | +192% |
| 101 | Lake County Estimated | 3,339 | +539.7% |
| 102 | Honolulu County Estimated | 3,336 | +142.1% |
| 103 | Baltimore city Estimated | 3,231 | +403.3% |
| 104 | Plymouth County Estimated | 3,164 | +461% |
| 105 | Douglas County Estimated | 3,132 | +395.6% |
| 106 | East Baton Rouge Parish Estimated | 3,108 | +401.3% |
| 107 | South Central Connecticut Planning Region Estimated | 3,073 | +207% |
| 108 | Greenville County Estimated | 3,036 | +240.7% |
| 109 | St. Louis County Estimated | 2,969 | +184.4% |
| 110 | Durham County Estimated | 2,876 | +218.8% |
| 111 | Manatee County Estimated | 2,859 | +542.5% |
| 112 | Morris County Estimated | 2,799 | +317.8% |
| 113 | Rockland County Estimated | 2,786 | +603.5% |
| 114 | Loudoun County Estimated | 2,686 | +168.9% |
| 115 | Kern County Estimated | 2,651 | +723.3% |
| 116 | Washington County Estimated | 2,521 | +171.7% |
| 117 | Adams County Estimated | 2,508 | +422.5% |
| 118 | El Paso County Estimated | 2,500 | +561.4% |
| 119 | Hidalgo County Estimated | 2,456 | +316.3% |
| 120 | Guilford County Estimated | 2,423 | +223.5% |
| 121 | Erie County Estimated | 2,412 | +174.4% |
| 121 | Washtenaw County Estimated | 2,412 | +279.2% |
| 123 | St. Lucie County Estimated | 2,373 | +802.3% |
| 124 | Pierce County Estimated | 2,352 | +171.9% |
| 125 | Pasco County Estimated | 2,339 | +486.2% |
| 126 | Sarasota County Estimated | 2,323 | +701% |
| 127 | Burlington County Estimated | 2,315 | +829.7% |
| 128 | Kent County Estimated | 2,305 | +307.2% |
| 129 | Somerset County Estimated | 2,292 | +304.2% |
| 130 | Champaign County Estimated | 2,273 | +221% |
| 131 | Lehigh County Estimated | 2,265 | +215.5% |
| 132 | Montgomery County Estimated | 2,244 | +232% |
| 133 | Tippecanoe County Estimated | 2,203 | +238.9% |
| 134 | Arlington County Estimated | 2,191 | +128.9% |
| 135 | Jackson County Estimated | 2,187 | +242.3% |
| 136 | Henrico County Estimated | 2,173 | +172.3% |
| 137 | Rutherford County Estimated | 2,136 | +898.1% |
| 138 | Hamilton County Estimated | 2,132 | +267.6% |
| 138 | Polk County Estimated | 2,132 | +161.9% |
| 140 | Monmouth County Estimated | 2,097 | +578.6% |
| 141 | Orleans Parish Estimated | 2,087 | +558.4% |
| 142 | Macomb County Estimated | 2,074 | +250.3% |
| 143 | Butler County Estimated | 2,071 | +337.8% |
| 144 | Naugatuck Valley Planning Region Estimated | 2,061 | +299.4% |
| 145 | New Castle County Estimated | 2,030 | +192.1% |
| 146 | Bernalillo County Estimated | 2,012 | +118.9% |
| 147 | Camden County Estimated | 2,002 | +356% |
| 148 | Brevard County Estimated | 1,991 | +429.5% |
| 149 | Anne Arundel County Estimated | 1,978 | +389.6% |
| 150 | Ventura County Estimated | 1,977 | +663.3% |
| 151 | Delaware County Estimated | 1,969 | +204.8% |
| 152 | Hampden County Estimated | 1,948 | +237% |
| 153 | Multnomah County Estimated | 1,941 | +180.9% |
| 154 | Fayette County Estimated | 1,917 | +465.5% |
| 155 | Stanislaus County Estimated | 1,901 | +492.2% |
| 156 | Alachua County Estimated | 1,887 | +339.9% |
| 157 | Solano County Estimated | 1,886 | +493.1% |
| 158 | Johnson County Estimated | 1,880 | +279% |
| 159 | Monroe County Estimated | 1,864 | +145.6% |
| 160 | Will County Estimated | 1,849 | +398.4% |
| 161 | Santa Barbara County Estimated | 1,835 | +318% |
| 162 | Richmond County Estimated | 1,827 | +374.5% |
| 163 | Charleston County Estimated | 1,816 | +285.6% |
| 164 | Orange County Estimated | 1,806 | +619.5% |
| 165 | Montgomery County Estimated | 1,774 | +242.5% |
| 166 | Alexandria city Estimated | 1,765 | +136.6% |
| 167 | Pinal County Estimated | 1,760 | +417.6% |
| 168 | Ector County Estimated | 1,754 | +429.9% |
| 169 | Volusia County Estimated | 1,748 | +341.4% |
| 170 | Cumberland County Estimated | 1,747 | +235.3% |
| 171 | Yolo County Estimated | 1,725 | +236.9% |
| 172 | Howard County Estimated | 1,721 | +320.8% |
| 173 | Lake County Estimated | 1,713 | +403.8% |
| 174 | Ada County Estimated | 1,711 | +877.7% |
| 175 | Cameron County Estimated | 1,703 | +487.2% |
| 176 | Chester County Estimated | 1,622 | +294.6% |
| 177 | Webb County Estimated | 1,605 | +403.1% |
| 178 | Dakota County Estimated | 1,602 | +329.5% |
| 179 | Monterey County Estimated | 1,573 | +529.2% |
| 180 | Barnstable County Estimated | 1,561 | +467.6% |
| 181 | Berks County Estimated | 1,510 | +244.7% |
| 182 | Benton County Estimated | 1,508 | +358.4% |
| 183 | Okaloosa County Estimated | 1,495 | +999.3% |
| 184 | Frederick County Estimated | 1,482 | +370.5% |
| 185 | Washington County Estimated | 1,475 | +494.8% |
| 186 | Marin County Estimated | 1,474 | +279.9% |
| 187 | Albany County Estimated | 1,473 | +207.5% |
| 188 | Richmond city Estimated | 1,440 | +198.8% |
| 189 | Bucks County Estimated | 1,429 | +283.1% |
| 190 | Horry County Estimated | 1,426 | +472.7% |
| 191 | Chesterfield County Estimated | 1,422 | +298.3% |
| 192 | Bay County Estimated | 1,400 | +673.5% |
| 192 | Kane County Estimated | 1,400 | +636.8% |
| 194 | Ingham County Estimated | 1,389 | +234.7% |
| 195 | Lancaster County Estimated | 1,384 | +297.7% |
| 196 | Marion County Estimated | 1,376 | +620.4% |
| 197 | Wyandotte County Estimated | 1,331 | +299.7% |
| 198 | Monroe County Estimated | 1,329 | +856.1% |
| 199 | Allen County Estimated | 1,326 | +291.2% |
| 199 | Richland County Estimated | 1,326 | +184.5% |
| 201 | Jefferson County Estimated | 1,318 | +395.5% |
| 202 | Midland County Estimated | 1,315 | +428.1% |
| 203 | Onondaga County Estimated | 1,307 | +157.8% |
| 204 | Escambia County Estimated | 1,302 | +693.9% |
| 205 | Ocean County Estimated | 1,293 | +638.9% |
| 206 | Leon County Estimated | 1,290 | +346.4% |
| 207 | Sonoma County Estimated | 1,285 | +463.6% |
| 208 | Summit County Estimated | 1,282 | +196.1% |
| 209 | Atlantic County Estimated | 1,279 | +365.1% |
| 209 | Lancaster County Estimated | 1,279 | +202.4% |
| 211 | Forsyth County Estimated | 1,266 | +252.6% |
| 212 | El Paso County Estimated | 1,247 | +2,087.7% |
| 213 | Knox County Estimated | 1,246 | +499% |
| 214 | Lafayette Parish Estimated | 1,242 | +360% |
| 215 | Anoka County Estimated | 1,239 | +243.2% |
| 216 | Chatham County Estimated | 1,232 | +417.6% |
| 217 | Cass County Estimated | 1,227 | +431.2% |
| 218 | Boulder County Estimated | 1,225 | +266.8% |
| 219 | Cumberland County Estimated | 1,223 | +354.6% |
| 220 | Clayton County Estimated | 1,190 | +320.5% |
| 221 | Forsyth County Estimated | 1,172 | +274.4% |
| 222 | Brazos County Estimated | 1,167 | +203.9% |
| 223 | St. Louis city Estimated | 1,162 | +153.2% |
| 224 | Centre County Estimated | 1,150 | +267.4% |
| 224 | Placer County Estimated | 1,150 | +427.5% |
| 226 | Brazoria County Estimated | 1,142 | +262.5% |
| 227 | Hall County Estimated | 1,141 | +850.8% |
| 228 | Jefferson County Estimated | 1,140 | +408.9% |
| 229 | Berkeley County Estimated | 1,131 | +361.6% |
| 230 | Luzerne County Estimated | 1,119 | +201.6% |
| 231 | Anchorage Municipality Estimated | 1,112 | +111.8% |
| 232 | Dauphin County Estimated | 1,098 | +247.5% |
| 233 | Virginia Beach city Estimated | 1,085 | +176.8% |
| 234 | Madison County Estimated | 1,084 | +408.9% |
| 235 | Washoe County Estimated | 1,079 | +132% |
| 236 | Weld County Estimated | 1,074 | +500% |
| 237 | Clark County Estimated | 1,071 | +139.1% |
| 238 | Pulaski County Estimated | 1,046 | +518.9% |
| 239 | Monroe County Estimated | 1,033 | +195.1% |
| 240 | Lubbock County Estimated | 1,019 | +198% |
| 241 | Yuma County Estimated | 1,016 | +127.3% |
| 242 | Jefferson County Estimated | 995 | +342.2% |
| 243 | Hillsborough County Estimated | 990 | +16.5% |
| 244 | Merced County Estimated | 989 | +752.6% |
| 245 | St. Joseph County Estimated | 980 | +284.3% |
| 246 | Imperial County Estimated | 974 | +1,703.7% |
| 247 | Norfolk city Estimated | 971 | +198.8% |
| 248 | Tulare County Estimated | 969 | +2,006.5% |
| 249 | York County Estimated | 962 | +283.3% |
| 250 | Spartanburg County Estimated | 955 | +350.5% |
Other periods
About this ranking
Estimated moves into the area from abroad minus moves out of the area to other countries, from July 1 of the previous year through June 30 of the reported year.
More on how it is measured
- United States: Census Bureau estimates, including people born in the United States and abroad, moves between the states and Puerto Rico, and net movement of the Armed Forces overseas.
- Canada: Statistics Canada immigrants, minus net emigration, plus the net change in non-permanent residents.
- Australia: ABS net overseas migration for the financial year.
- United Kingdom local authorities: Office for National Statistics mid-year estimates, counting people who move for at least 12 months.
A component of each country's official population estimates. Methods differ between the statistical offices, so compare places within a country first. Differs from the World Bank net_migration series, which uses calendar years and a different method.
Every value in the ranking comes from the same publisher and the same period, so the counties are compared on one definition. Equal values share a rank.
How to cite
U.S. Census Bureau. Population Estimates Program: net international migration, July 1 of the previous year to June 30 of the reported year; vintage 2020 files for 2011 to 2020 and the latest 2020s vintage from 2021. https://www.census.gov/programs-surveys/popest/data/data-sets.html. Retrieved 2026-10-12.Citation styles
APA 7
U.S. Census Bureau. (2026). Population Estimates Program: net international migration, July 1 of the previous year to June 30 of the reported year; vintage 2020 files for 2011 to 2020 and the latest 2020s vintage from 2021 (US counties by net international migration, July to June, 2022) [Data set]. Retrieved October 12, 2026, from https://www.census.gov/programs-surveys/popest/data/data-sets.html
MLA 9
Population Estimates Program: net international migration, July 1 of the previous year to June 30 of the reported year; vintage 2020 files for 2011 to 2020 and the latest 2020s vintage from 2021, US counties by net international migration, July to June, 2022. U.S. Census Bureau, 26 Mar. 2026, https://www.census.gov/programs-surveys/popest/data/data-sets.html. Invokely, https://invokely.ai/rankings/net-international-migration-july-june/us-counties?period=2022. Accessed 12 Oct. 2026.
Chicago (author-date)
U.S. Census Bureau. 2026. Population Estimates Program: net international migration, July 1 of the previous year to June 30 of the reported year; vintage 2020 files for 2011 to 2020 and the latest 2020s vintage from 2021. US counties by net international migration, July to June, 2022. Dataset. Accessed October 12, 2026. https://www.census.gov/programs-surveys/popest/data/data-sets.html. Also distributed by Invokely, https://invokely.ai/rankings/net-international-migration-july-june/us-counties?period=2022.
Harvard
U.S. Census Bureau (2026) Population Estimates Program: net international migration, July 1 of the previous year to June 30 of the reported year; vintage 2020 files for 2011 to 2020 and the latest 2020s vintage from 2021, US counties by net international migration, July to June, 2022 [Dataset]. Available at: https://www.census.gov/programs-surveys/popest/data/data-sets.html, via Invokely: https://invokely.ai/rankings/net-international-migration-july-june/us-counties?period=2022 (Accessed: 12 October 2026).
BibTeX
@misc{census_us_counties_by_net_2022,
author = {{U.S. Census Bureau}},
title = {{Population Estimates Program: net international migration, July 1 of the previous year to June 30 of the reported year; vintage 2020 files for 2011 to 2020 and the latest 2020s vintage from 2021: US counties by net international migration, July to June, 2022}},
year = {2026},
howpublished = {Data set},
url = {https://www.census.gov/programs-surveys/popest/data/data-sets.html},
urldate = {2026-10-12},
note = {Accessed via Invokely, https://invokely.ai/rankings/net-international-migration-july-june/us-counties?period=2022. Publisher attribution: U.S. Census Bureau. Population Estimates Program: net international migration, July 1 of the previous year to June 30 of the reported year; vintage 2020 files for 2011 to 2020 and the latest 2020s vintage from 2021. https://www.census.gov/programs-surveys/popest/data/data-sets.html. Retrieved 2026-10-12.},
}
RIS
TY - DATA
AU - U.S. Census Bureau
TI - Population Estimates Program: net international migration, July 1 of the previous year to June 30 of the reported year; vintage 2020 files for 2011 to 2020 and the latest 2020s vintage from 2021: US counties by net international migration, July to June, 2022
PY - 2026
DA - 2026/03/26
PB - U.S. Census Bureau
DB - Invokely
UR - https://www.census.gov/programs-surveys/popest/data/data-sets.html
L2 - https://invokely.ai/rankings/net-international-migration-july-june/us-counties?period=2022
Y2 - 2026/10/12
N1 - Accessed via Invokely, https://invokely.ai/rankings/net-international-migration-july-june/us-counties?period=2022.
N1 - Publisher attribution: U.S. Census Bureau. Population Estimates Program: net international migration, July 1 of the previous year to June 30 of the reported year; vintage 2020 files for 2011 to 2020 and the latest 2020s vintage from 2021. https://www.census.gov/programs-surveys/popest/data/data-sets.html. Retrieved 2026-10-12.
ER -
Use this data in your AI agent
Invokely serves this figure to AI assistants through MCP and to code through a REST API, with the source and citation attached. Ask your assistant:
Rank US counties by net international migration, July to June using official data, and cite the source.
rank_places {"indicator":"net_international_migration_july_june","level":"province","within":"United States","limit":10}
GET https://invokely.ai/api/v1/rank?indicator=net_international_migration_july_june&level=province&within=United%20States&limit=10Questions
Which county has the highest net international migration, July to June?
Miami-Dade County, with 98,977 in 2022, according to the U.S. Census Bureau.
Which county has the lowest net international migration, July to June?
Lyon County, with -27 in 2022.
Where does this ranking come from?
Every value comes from one source and one period, so the places are comparable: U.S. Census Bureau, Population Estimates Program: net international migration, July 1 of the previous year to June 30 of the reported year; vintage 2020 files for 2011 to 2020 and the latest 2020s vintage from 2021. Retrieved 2026-10-12.