US counties by net international migration, July to June
Miami-Dade County had the highest net international migration, July to June of 3135 counties in 2020, at 28,593. Riverside County had the lowest, at -781. The median was 6 and the figure for the United States was 477,029. Source: the U.S. Census Bureau.
Top 40 counties, 2020
Full ranking
| Rank | Counties | 2020 | Change on 2019 |
|---|---|---|---|
| 1 | Miami-Dade County Estimated | 28,593 | -22.2% |
| 2 | Harris County Estimated | 19,679 | -21.2% |
| 3 | King County Estimated | 11,943 | -22.5% |
| 4 | Broward County Estimated | 10,567 | -19.9% |
| 5 | Orange County Estimated | 8,377 | +9.1% |
| 6 | Dallas County Estimated | 7,924 | -19.9% |
| 7 | Los Angeles County Estimated | 7,573 | -15% |
| 8 | Middlesex County Estimated | 7,426 | -21% |
| 9 | Santa Clara County Estimated | 6,959 | -20% |
| 10 | Queens County Estimated | 6,849 | -20.4% |
| 11 | Bronx County Estimated | 6,795 | -17.1% |
| 12 | Fairfax County Estimated | 6,371 | -22.6% |
| 13 | Cook County Estimated | 6,356 | -17% |
| 14 | Suffolk County Estimated | 6,332 | -20.1% |
| 15 | Maricopa County Estimated | 6,185 | -20.2% |
| 16 | Palm Beach County Estimated | 5,962 | -21% |
| 17 | Kings County Estimated | 5,772 | -20.1% |
| 18 | Hillsborough County Estimated | 5,483 | -5.2% |
| 19 | New York County Estimated | 5,118 | -18.9% |
| 20 | Montgomery County Estimated | 4,680 | -23.3% |
| 21 | Hudson County Estimated | 4,638 | -20.9% |
| 22 | Alameda County Estimated | 4,436 | -20% |
| 23 | Clark County Estimated | 4,322 | -22% |
| 24 | Mecklenburg County Estimated | 4,206 | -21.7% |
| 25 | Franklin County Estimated | 4,178 | -21.2% |
| 26 | Philadelphia County Estimated | 4,153 | -4.9% |
| 27 | Tarrant County Estimated | 3,826 | -16.8% |
| 28 | Fort Bend County Estimated | 3,526 | -22.8% |
| 29 | Prince George's County Estimated | 3,520 | -23.8% |
| 30 | Collin County Estimated | 3,444 | -21.7% |
| 31 | Travis County Estimated | 3,430 | -20.8% |
| 32 | DeKalb County Estimated | 3,081 | -22.5% |
| 33 | Essex County Estimated | 3,052 | -16.8% |
| 34 | Marion County Estimated | 3,045 | -21.9% |
| 35 | Essex County Estimated | 3,010 | -20.4% |
| 36 | Wake County Estimated | 2,854 | -21.9% |
| 37 | Middlesex County Estimated | 2,837 | -19.2% |
| 38 | Hennepin County Estimated | 2,749 | -24.2% |
| 39 | Osceola County Estimated | 2,594 | +115.6% |
| 40 | San Diego County Estimated | 2,458 | -10.8% |
| 41 | Fulton County Estimated | 2,455 | -22% |
| 42 | Orange County Estimated | 2,336 | -15.5% |
| 43 | Norfolk County Estimated | 2,243 | -21.9% |
| 44 | Gwinnett County Estimated | 2,175 | -18.4% |
| 44 | Oakland County Estimated | 2,175 | -19.5% |
| 46 | District of Columbia Estimated | 2,143 | -22.1% |
| 47 | San Francisco County Estimated | 2,118 | -21.1% |
| 48 | Worcester County Estimated | 2,089 | -2.5% |
| 49 | Bexar County Estimated | 2,056 | -5.5% |
| 50 | Lee County Estimated | 1,985 | -14.6% |
| 51 | Duval County Estimated | 1,978 | -13.6% |
| 52 | Snohomish County Estimated | 1,806 | -22.5% |
| 53 | Bergen County Estimated | 1,783 | -21.2% |
| 54 | Cuyahoga County Estimated | 1,749 | -1.7% |
| 55 | Union County Estimated | 1,735 | -20.7% |
| 56 | Prince William County Estimated | 1,700 | -22.1% |
| 57 | San Mateo County Estimated | 1,677 | -21.7% |
| 58 | Passaic County Estimated | 1,662 | -16.7% |
| 59 | Sacramento County Estimated | 1,599 | -18.4% |
| 60 | Collier County Estimated | 1,594 | -21.9% |
| 61 | Pima County Estimated | 1,584 | -21.1% |
| 62 | St. Louis County Estimated | 1,580 | -22.5% |
| 63 | Contra Costa County Estimated | 1,515 | -19.3% |
| 64 | Baltimore County Estimated | 1,500 | -22.7% |
| 64 | Westchester County Estimated | 1,500 | -20.3% |
| 66 | Greenville County Estimated | 1,499 | -19.4% |
| 67 | Salt Lake County Estimated | 1,491 | -19.2% |
| 68 | Cobb County Estimated | 1,474 | -23.9% |
| 68 | Jefferson Parish Estimated | 1,474 | -21.3% |
| 70 | Wayne County Estimated | 1,461 | -15.6% |
| 71 | Arlington County Estimated | 1,437 | -20.7% |
| 72 | Milwaukee County Estimated | 1,397 | +11% |
| 73 | Ramsey County Estimated | 1,396 | -22.3% |
| 74 | Denton County Estimated | 1,395 | -19.2% |
| 75 | Hamilton County Estimated | 1,377 | -20.3% |
| 76 | Honolulu County Estimated | 1,376 | -21.1% |
| 77 | Loudoun County Estimated | 1,361 | -21.7% |
| 78 | Suffolk County Estimated | 1,315 | -18.4% |
| 79 | Allegheny County Estimated | 1,303 | -20.2% |
| 80 | Durham County Estimated | 1,271 | -22.2% |
| 81 | Henrico County Estimated | 1,237 | -22.1% |
| 82 | Erie County Estimated | 1,213 | +1.7% |
| 83 | Polk County Estimated | 1,207 | +133.5% |
| 84 | DuPage County Estimated | 1,189 | -19.7% |
| 85 | Alexandria city Estimated | 1,186 | -19.9% |
| 86 | Mercer County Estimated | 1,184 | -15.9% |
| 87 | Dane County Estimated | 1,178 | -19.5% |
| 88 | Hillsborough County Estimated | 1,162 | -17.2% |
| 89 | Nassau County Estimated | 1,155 | -20.1% |
| 90 | Tippecanoe County Estimated | 1,150 | -20.6% |
| 91 | Pinellas County Estimated | 1,146 | -12.3% |
| 92 | Plymouth County Estimated | 1,142 | -23.2% |
| 93 | Baltimore city Estimated | 1,091 | -19.4% |
| 94 | Guilford County Estimated | 1,087 | -20.6% |
| 95 | Davidson County Estimated | 1,079 | -22.3% |
| 96 | Providence County Estimated | 1,067 | -9.3% |
| 97 | Seminole County Estimated | 1,053 | +22.6% |
| 98 | Monroe County Estimated | 1,041 | +36.8% |
| 99 | Lehigh County Estimated | 1,033 | +29.6% |
| 100 | Champaign County Estimated | 1,030 | -20.7% |
| 101 | Bernalillo County Estimated | 991 | -20.1% |
| 102 | Jefferson County Estimated | 980 | -19.7% |
| 103 | Polk County Estimated | 964 | -21.8% |
| 104 | Hampden County Estimated | 961 | +193.9% |
| 105 | Bristol County Estimated | 951 | +2% |
| 106 | Pierce County Estimated | 925 | -18.4% |
| 107 | Richland County Estimated | 874 | -16.3% |
| 108 | Multnomah County Estimated | 872 | -21.2% |
| 109 | Johnson County Estimated | 868 | -21.3% |
| 110 | East Baton Rouge Parish Estimated | 862 | -20% |
| 111 | Montgomery County Estimated | 855 | -19.8% |
| 112 | New Castle County Estimated | 847 | -12.6% |
| 113 | Brazos County Estimated | 810 | -20.7% |
| 114 | Minnehaha County Estimated | 800 | -21.6% |
| 115 | Montgomery County Estimated | 791 | -21.1% |
| 116 | Arapahoe County Estimated | 779 | -23.1% |
| 117 | Berks County Estimated | 776 | +64.4% |
| 118 | Montgomery County Estimated | 764 | -17.8% |
| 119 | Delaware County Estimated | 763 | -14.4% |
| 120 | Cumberland County Estimated | 740 | -21.9% |
| 121 | Jackson County Estimated | 729 | -20.2% |
| 122 | Summit County Estimated | 721 | -12.7% |
| 123 | Washington County Estimated | 718 | -17.3% |
| 124 | Kent County Estimated | 699 | -15.8% |
| 125 | Williamson County Estimated | 697 | -15.7% |
| 126 | Onondaga County Estimated | 695 | -8.2% |
| 127 | Oklahoma County Estimated | 692 | -19.3% |
| 128 | Howard County Estimated | 689 | -19.6% |
| 129 | Alachua County Estimated | 675 | -14.7% |
| 130 | Volusia County Estimated | 672 | +50.3% |
| 131 | Douglas County Estimated | 671 | -19.7% |
| 132 | Tulsa County Estimated | 666 | -12.1% |
| 133 | Monroe County Estimated | 656 | -21.2% |
| 134 | Camden County Estimated | 646 | +4.7% |
| 135 | Virginia Beach city Estimated | 643 | -13.9% |
| 136 | Washtenaw County Estimated | 619 | -16.1% |
| 137 | Ingham County Estimated | 615 | -17.7% |
| 138 | St. Louis city Estimated | 593 | -22.3% |
| 139 | Lancaster County Estimated | 590 | +15.2% |
| 140 | Denver County Estimated | 588 | -12.6% |
| 141 | Yuma County Estimated | 585 | -18.8% |
| 142 | Richmond city Estimated | 583 | -19.3% |
| 143 | Luzerne County Estimated | 582 | -10.2% |
| 144 | Morris County Estimated | 570 | -16.5% |
| 145 | Story County Estimated | 566 | -21.3% |
| 146 | Orleans Parish Estimated | 561 | -19.4% |
| 146 | Sarasota County Estimated | 561 | -20.9% |
| 148 | Cumberland County Estimated | 559 | -3.8% |
| 149 | Lake County Estimated | 542 | -3.7% |
| 150 | Dauphin County Estimated | 538 | +7% |
| 151 | Manatee County Estimated | 528 | -13% |
| 152 | Shelby County Estimated | 521 | -14.4% |
| 153 | Johnson County Estimated | 515 | -15.4% |
| 154 | Centre County Estimated | 508 | -21.6% |
| 155 | Pasco County Estimated | 495 | +4.7% |
| 156 | Stearns County Estimated | 494 | -23.3% |
| 157 | Somerset County Estimated | 491 | -24.2% |
| 158 | Anchorage Municipality Estimated | 490 | -15.8% |
| 159 | Boone County Estimated | 489 | -18.5% |
| 159 | Brevard County Estimated | 489 | +11.4% |
| 161 | Charleston County Estimated | 478 | -18.8% |
| 162 | Hamilton County Estimated | 475 | -19.2% |
| 163 | Albany County Estimated | 470 | -13% |
| 164 | Norfolk city Estimated | 468 | -12.2% |
| 165 | Yakima County Estimated | 455 | -21.7% |
| 166 | Butler County Estimated | 447 | -17.4% |
| 167 | Chester County Estimated | 446 | -13.2% |
| 168 | Lake County Estimated | 445 | +52.4% |
| 169 | St. Lucie County Estimated | 438 | -13.8% |
| 170 | Yolo County Estimated | 435 | -20.9% |
| 171 | St. Joseph County Estimated | 434 | -19.3% |
| 172 | Webb County Estimated | 433 | -17.8% |
| 173 | Hampshire County Estimated | 432 | -20.9% |
| 174 | Macomb County Estimated | 422 | -13.3% |
| 175 | Fayette County Estimated | 421 | -18.6% |
| 176 | Bartholomew County Estimated | 418 | -22.4% |
| 177 | Sedgwick County Estimated | 415 | -19.9% |
| 178 | Chesterfield County Estimated | 412 | -13.4% |
| 179 | Forsyth County Estimated | 410 | -17.7% |
| 180 | Pinal County Estimated | 405 | -20% |
| 181 | Allen County Estimated | 393 | -22% |
| 182 | Orange County Estimated | 392 | -23.9% |
| 183 | Frederick County Estimated | 387 | -18.5% |
| 183 | Monongalia County Estimated | 387 | -21.2% |
| 185 | Dakota County Estimated | 385 | -18.4% |
| 186 | Hawaii County Estimated | 382 | -21.7% |
| 187 | Utah County Estimated | 380 | -11.4% |
| 188 | Lexington County Estimated | 378 | -17.3% |
| 188 | Linn County Estimated | 378 | -19.7% |
| 190 | Chatham County Estimated | 377 | -8.5% |
| 191 | Lackawanna County Estimated | 373 | +14.1% |
| 192 | Wyandotte County Estimated | 366 | -20.3% |
| 193 | Warren County Estimated | 365 | -18.9% |
| 194 | Doña Ana County Estimated | 360 | -18.6% |
| 195 | Horry County Estimated | 359 | -24.3% |
| 196 | Lancaster County Estimated | 358 | -16.7% |
| 197 | Erie County Estimated | 357 | -13.6% |
| 198 | Newport News city Estimated | 356 | -13.8% |
| 199 | Berkeley County Estimated | 346 | -16.4% |
| 200 | Harrisonburg city Estimated | 343 | -16.3% |
| 201 | Leon County Estimated | 342 | -10.7% |
| 201 | Rockland County Estimated | 342 | -18.8% |
| 203 | Lucas County Estimated | 339 | -14.8% |
| 204 | Maui County Estimated | 338 | -20.5% |
| 205 | Bell County Estimated | 337 | +110.6% |
| 205 | Montgomery County Estimated | 337 | -23.1% |
| 207 | Forsyth County Estimated | 333 | -12.8% |
| 208 | Tompkins County Estimated | 331 | -18.5% |
| 209 | Benton County Estimated | 330 | -10.8% |
| 210 | Nueces County Estimated | 328 | -15.7% |
| 211 | Olmsted County Estimated | 326 | -20.9% |
| 211 | St. Charles County Estimated | 326 | -10.7% |
| 213 | Chittenden County Estimated | 325 | -18.3% |
| 214 | Washington County Estimated | 324 | -14.3% |
| 215 | McLean County Estimated | 323 | -19% |
| 216 | Grant County Estimated | 322 | -21.8% |
| 216 | Waukesha County Estimated | 322 | -13.2% |
| 218 | Anne Arundel County Estimated | 317 | -18.9% |
| 218 | Merrimack County Estimated | 317 | -23.1% |
| 218 | Northampton County Estimated | 317 | +36.1% |
| 221 | Portage County Estimated | 313 | -20.6% |
| 222 | Adams County Estimated | 312 | -5.5% |
| 223 | Anoka County Estimated | 309 | -15.3% |
| 223 | Pulaski County Estimated | 309 | -13.4% |
| 225 | Clayton County Estimated | 302 | -12.5% |
| 226 | Strafford County Estimated | 299 | -21.7% |
| 227 | Roanoke city Estimated | 296 | -21.5% |
| 228 | Atlantic County Estimated | 295 | -4.8% |
| 228 | Midland County Estimated | 295 | -17.6% |
| 230 | Skagit County Estimated | 290 | -20.3% |
| 231 | Boulder County Estimated | 289 | -14% |
| 231 | El Paso County Estimated | 289 | +189% |
| 231 | Whatcom County Estimated | 289 | -17.7% |
| 234 | Cumberland County Estimated | 282 | -7.5% |
| 234 | York County Estimated | 282 | +83.1% |
| 236 | Galveston County Estimated | 281 | -18.3% |
| 237 | Black Hawk County Estimated | 280 | -21.6% |
| 238 | Beaufort County Estimated | 279 | -21.6% |
| 239 | Potter County Estimated | 278 | -16.8% |
| 240 | Barnstable County Estimated | 277 | -19.2% |
| 241 | Clark County Estimated | 275 | -22.1% |
| 241 | Whitman County Estimated | 275 | -24% |
| 243 | Jefferson County Estimated | 273 | +0.7% |
| 244 | Chesapeake city Estimated | 272 | -4.2% |
| 245 | Brazoria County Estimated | 271 | +7.1% |
| 246 | San Joaquin County Estimated | 269 | -7.9% |
| 247 | Hendry County Estimated | 268 | -19.3% |
| 248 | Hays County Estimated | 264 | -14.3% |
| 248 | Otero County Estimated | 264 | -23.3% |
| 250 | Lafayette Parish Estimated | 260 | -19.5% |
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. 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. 9 counties with data in other periods have no value for 2020 and are left out rather than filled from another source. 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, 2020) [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, 2020. 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=2020. 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, 2020. 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=2020.
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, 2020 [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=2020 (Accessed: 12 October 2026).
BibTeX
@misc{census_us_counties_by_net_2020,
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, 2020}},
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=2020. 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, 2020
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=2020
Y2 - 2026/10/12
N1 - Accessed via Invokely, https://invokely.ai/rankings/net-international-migration-july-june/us-counties?period=2020.
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 28,593 in 2020, according to the U.S. Census Bureau.
Which county has the lowest net international migration, July to June?
Riverside County, with -781 in 2020.
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. 9 counties have no value for 2020 and are not ranked.