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 2021, at 15,106. Onslow County had the lowest, at -171. The median was 5 and the figure for the United States was 376,026. Source: the U.S. Census Bureau.
Top 40 counties, 2021
Full ranking
| Rank | Counties | 2021 | Change on 2020 |
|---|---|---|---|
| 1 | Miami-Dade County Estimated | 15,106 | -47.2% |
| 2 | Harris County Estimated | 13,920 | -29.3% |
| 3 | Los Angeles County Estimated | 12,108 | +59.9% |
| 4 | King County Estimated | 8,661 | -27.5% |
| 5 | Broward County Estimated | 6,714 | -36.5% |
| 6 | Santa Clara County Estimated | 6,704 | -3.7% |
| 7 | Dallas County Estimated | 6,681 | -15.7% |
| 8 | Cook County Estimated | 6,599 | +3.8% |
| 9 | Queens County Estimated | 6,388 | -6.7% |
| 10 | Maricopa County Estimated | 5,515 | -10.8% |
| 11 | Orange County Estimated | 5,211 | -37.8% |
| 12 | Middlesex County Estimated | 5,206 | -29.9% |
| 13 | Kings County Estimated | 5,078 | -12% |
| 14 | Fairfax County Estimated | 4,263 | -33.1% |
| 15 | Alameda County Estimated | 4,233 | -4.6% |
| 16 | Bronx County Estimated | 4,168 | -38.7% |
| 17 | New York County Estimated | 3,978 | -22.3% |
| 18 | Orange County Estimated | 3,836 | +64.2% |
| 19 | Palm Beach County Estimated | 3,772 | -36.7% |
| 20 | Suffolk County Estimated | 3,508 | -44.6% |
| 21 | Hillsborough County Estimated | 3,311 | -39.6% |
| 22 | Mecklenburg County Estimated | 3,155 | -25% |
| 23 | Clark County Estimated | 3,075 | -28.9% |
| 24 | Tarrant County Estimated | 2,986 | -22% |
| 25 | Hudson County Estimated | 2,980 | -35.7% |
| 26 | Montgomery County Estimated | 2,912 | -37.8% |
| 27 | Franklin County Estimated | 2,879 | -31.1% |
| 28 | Collin County Estimated | 2,863 | -16.9% |
| 29 | San Diego County Estimated | 2,717 | +10.5% |
| 30 | Philadelphia County Estimated | 2,690 | -35.2% |
| 31 | Travis County Estimated | 2,599 | -24.2% |
| 32 | Prince George's County Estimated | 2,555 | -27.4% |
| 33 | Fort Bend County Estimated | 2,476 | -29.8% |
| 34 | Sacramento County Estimated | 2,425 | +51.7% |
| 35 | Essex County Estimated | 2,218 | -26.3% |
| 36 | San Francisco County Estimated | 2,040 | -3.7% |
| 37 | Essex County Estimated | 2,016 | -33.9% |
| 38 | Oakland County Estimated | 2,000 | -8% |
| 39 | Middlesex County Estimated | 1,981 | -30.2% |
| 40 | Wake County Estimated | 1,958 | -31.4% |
| 41 | Gwinnett County Estimated | 1,907 | -12.3% |
| 42 | Fulton County Estimated | 1,886 | -23.2% |
| 43 | Marion County Estimated | 1,835 | -39.7% |
| 44 | Hennepin County Estimated | 1,793 | -34.8% |
| 45 | Bexar County Estimated | 1,770 | -13.9% |
| 46 | DeKalb County Estimated | 1,754 | -43.1% |
| 47 | District of Columbia Estimated | 1,745 | -18.6% |
| 48 | San Mateo County Estimated | 1,715 | +2.3% |
| 49 | Capitol Planning Region Estimated | 1,697 | |
| 50 | Contra Costa County Estimated | 1,676 | +10.6% |
| 51 | Norfolk County Estimated | 1,633 | -27.2% |
| 52 | Osceola County Estimated | 1,608 | -38% |
| 53 | Worcester County Estimated | 1,542 | -26.2% |
| 54 | Western Connecticut Planning Region Estimated | 1,534 | |
| 55 | Snohomish County Estimated | 1,491 | -17.4% |
| 56 | Wayne County Estimated | 1,468 | +0.5% |
| 57 | Westchester County Estimated | 1,411 | -5.9% |
| 58 | Prince William County Estimated | 1,386 | -18.5% |
| 59 | Honolulu County Estimated | 1,378 | +0.1% |
| 60 | Bergen County Estimated | 1,358 | -23.8% |
| 61 | Duval County Estimated | 1,351 | -31.7% |
| 62 | Denton County Estimated | 1,298 | -7% |
| 63 | Union County Estimated | 1,286 | -25.9% |
| 64 | Cobb County Estimated | 1,256 | -14.8% |
| 65 | DuPage County Estimated | 1,254 | +5.5% |
| 66 | Salt Lake County Estimated | 1,230 | -17.5% |
| 67 | Cuyahoga County Estimated | 1,210 | -30.8% |
| 68 | Lee County Estimated | 1,199 | -39.6% |
| 69 | Suffolk County Estimated | 1,179 | -10.3% |
| 70 | Pima County Estimated | 1,162 | -26.6% |
| 71 | Allegheny County Estimated | 1,124 | -13.7% |
| 72 | Baltimore County Estimated | 1,109 | -26.1% |
| 73 | Hamilton County Estimated | 1,089 | -20.9% |
| 74 | Nassau County Estimated | 1,079 | -6.6% |
| 75 | Davidson County Estimated | 1,050 | -2.7% |
| 76 | St. Louis County Estimated | 1,044 | -33.9% |
| 77 | Passaic County Estimated | 1,035 | -37.7% |
| 78 | South Central Connecticut Planning Region Estimated | 1,001 | |
| 79 | Loudoun County Estimated | 999 | -26.6% |
| 80 | Milwaukee County Estimated | 988 | -29.3% |
| 81 | Arapahoe County Estimated | 970 | +24.5% |
| 82 | Arlington County Estimated | 957 | -33.4% |
| 83 | Ramsey County Estimated | 954 | -31.7% |
| 84 | Washington County Estimated | 928 | +29.2% |
| 85 | Bernalillo County Estimated | 919 | -7.3% |
| 86 | Providence County Estimated | 909 | -14.8% |
| 87 | Dane County Estimated | 908 | -22.9% |
| 88 | Durham County Estimated | 902 | -29% |
| 88 | Greater Bridgeport Planning Region Estimated | 902 | |
| 90 | Jefferson Parish Estimated | 893 | -39.4% |
| 91 | Greenville County Estimated | 891 | -40.6% |
| 92 | Collier County Estimated | 890 | -44.2% |
| 93 | Erie County Estimated | 879 | -27.5% |
| 94 | Pierce County Estimated | 865 | -6.5% |
| 95 | Hillsborough County Estimated | 850 | -26.9% |
| 96 | Polk County Estimated | 826 | -31.6% |
| 97 | Mercer County Estimated | 817 | -31% |
| 98 | Polk County Estimated | 814 | -15.6% |
| 99 | Henrico County Estimated | 798 | -35.5% |
| 100 | Pinellas County Estimated | 797 | -30.5% |
| 101 | Jefferson County Estimated | 796 | -18.8% |
| 102 | Seminole County Estimated | 774 | -26.5% |
| 103 | Monroe County Estimated | 759 | -27.1% |
| 103 | Montgomery County Estimated | 759 | -0.7% |
| 105 | Williamson County Estimated | 754 | +8.2% |
| 106 | Guilford County Estimated | 749 | -31.1% |
| 107 | Alexandria city Estimated | 746 | -37.1% |
| 108 | Bristol County Estimated | 723 | -24% |
| 109 | Lehigh County Estimated | 718 | -30.5% |
| 110 | Champaign County Estimated | 708 | -31.3% |
| 111 | Denver County Estimated | 703 | +19.6% |
| 112 | New Castle County Estimated | 695 | -17.9% |
| 113 | Multnomah County Estimated | 691 | -20.8% |
| 114 | San Joaquin County Estimated | 678 | +152% |
| 115 | Montgomery County Estimated | 676 | -20.9% |
| 116 | Morris County Estimated | 670 | +17.5% |
| 117 | Tippecanoe County Estimated | 650 | -43.5% |
| 118 | Tulsa County Estimated | 647 | -2.9% |
| 119 | Delaware County Estimated | 646 | -15.3% |
| 120 | Baltimore city Estimated | 642 | -41.2% |
| 121 | Riverside County Estimated | 640 | +181.9% |
| 122 | Jackson County Estimated | 639 | -12.3% |
| 123 | Washtenaw County Estimated | 636 | +2.7% |
| 124 | Douglas County Estimated | 632 | -5.8% |
| 125 | East Baton Rouge Parish Estimated | 620 | -28.1% |
| 126 | Oklahoma County Estimated | 617 | -10.8% |
| 127 | San Bernardino County Estimated | 605 | +208.8% |
| 128 | Macomb County Estimated | 592 | +40.3% |
| 129 | Hidalgo County Estimated | 590 | +179.6% |
| 130 | Hamilton County Estimated | 580 | +22.1% |
| 131 | Hampden County Estimated | 578 | -39.9% |
| 132 | Somerset County Estimated | 567 | +15.5% |
| 133 | Kent County Estimated | 566 | -19% |
| 134 | Plymouth County Estimated | 564 | -50.6% |
| 135 | Fresno County Estimated | 559 | +1,263.4% |
| 136 | Johnson County Estimated | 551 | -36.5% |
| 137 | Anchorage Municipality Estimated | 525 | +7.1% |
| 138 | Lake County Estimated | 522 | -3.7% |
| 139 | Cumberland County Estimated | 521 | -29.6% |
| 140 | Montgomery County Estimated | 518 | -34.5% |
| 141 | Naugatuck Valley Planning Region Estimated | 516 | |
| 142 | Yolo County Estimated | 512 | +17.7% |
| 143 | Onondaga County Estimated | 507 | -27.1% |
| 144 | Shelby County Estimated | 498 | -4.4% |
| 145 | Johnson County Estimated | 496 | -3.7% |
| 146 | Utah County Estimated | 492 | +29.5% |
| 147 | Richmond city Estimated | 482 | -17.3% |
| 148 | Adams County Estimated | 480 | +53.8% |
| 149 | Albany County Estimated | 479 | +1.9% |
| 150 | Butler County Estimated | 473 | +5.8% |
| 151 | Charleston County Estimated | 471 | -1.5% |
| 152 | Richland County Estimated | 466 | -46.7% |
| 153 | Washoe County Estimated | 465 | +122.5% |
| 154 | Minnehaha County Estimated | 462 | -42.3% |
| 155 | St. Louis city Estimated | 459 | -22.6% |
| 156 | Clark County Estimated | 448 | +62.9% |
| 157 | Yuma County Estimated | 447 | -23.6% |
| 158 | Manatee County Estimated | 445 | -15.7% |
| 159 | Camden County Estimated | 439 | -32% |
| 159 | Santa Barbara County Estimated | 439 | +171% |
| 161 | Berks County Estimated | 438 | -43.6% |
| 162 | Summit County Estimated | 433 | -39.9% |
| 163 | Alachua County Estimated | 429 | -36.4% |
| 164 | Lancaster County Estimated | 423 | -28.3% |
| 165 | Ingham County Estimated | 415 | -32.5% |
| 166 | Chester County Estimated | 411 | -7.8% |
| 167 | Howard County Estimated | 409 | -40.6% |
| 168 | Anne Arundel County Estimated | 404 | +27.4% |
| 169 | Pasco County Estimated | 399 | -19.4% |
| 170 | Sedgwick County Estimated | 397 | -4.3% |
| 171 | Rockland County Estimated | 396 | +15.8% |
| 171 | Volusia County Estimated | 396 | -41.1% |
| 173 | Yakima County Estimated | 395 | -13.2% |
| 174 | Virginia Beach city Estimated | 392 | -39% |
| 175 | Marin County Estimated | 388 | +52.2% |
| 176 | Richmond County Estimated | 385 | +54% |
| 177 | Brazos County Estimated | 384 | -52.6% |
| 178 | El Paso County Estimated | 378 | +30.8% |
| 179 | Brevard County Estimated | 376 | -23.1% |
| 180 | Bucks County Estimated | 373 | +52.9% |
| 180 | Dakota County Estimated | 373 | -3.1% |
| 182 | Luzerne County Estimated | 371 | -36.3% |
| 182 | Will County Estimated | 371 | +462.1% |
| 184 | Anoka County Estimated | 361 | +16.8% |
| 185 | Forsyth County Estimated | 359 | -12.4% |
| 186 | Chesterfield County Estimated | 357 | -13.3% |
| 187 | Linn County Estimated | 355 | -6.1% |
| 188 | Monroe County Estimated | 350 | -46.6% |
| 189 | Lancaster County Estimated | 348 | -2.8% |
| 190 | Stearns County Estimated | 343 | -30.6% |
| 191 | Lubbock County Estimated | 342 | +39.6% |
| 192 | Lake County Estimated | 340 | -23.6% |
| 192 | Pinal County Estimated | 340 | -16% |
| 194 | Allen County Estimated | 339 | -13.7% |
| 194 | Fayette County Estimated | 339 | -19.5% |
| 194 | Southeastern Connecticut Planning Region Estimated | 339 | |
| 197 | Boulder County Estimated | 334 | +15.6% |
| 198 | Wyandotte County Estimated | 333 | -9% |
| 199 | Ector County Estimated | 331 | +78% |
| 200 | Benton County Estimated | 329 | -0.3% |
| 201 | Boone County Estimated | 327 | -33.1% |
| 201 | Hawaii County Estimated | 327 | -14.4% |
| 203 | Norfolk city Estimated | 325 | -30.6% |
| 204 | Kern County Estimated | 322 | +201.9% |
| 205 | Stanislaus County Estimated | 321 | +653.4% |
| 206 | Webb County Estimated | 319 | -26.3% |
| 207 | Solano County Estimated | 318 | +211.8% |
| 208 | Orleans Parish Estimated | 317 | -43.5% |
| 209 | Dauphin County Estimated | 316 | -41.3% |
| 210 | Brazoria County Estimated | 315 | +16.2% |
| 210 | Frederick County Estimated | 315 | -18.6% |
| 212 | Centre County Estimated | 313 | -38.4% |
| 212 | Forsyth County Estimated | 313 | -6% |
| 214 | Monmouth County Estimated | 309 | +88.4% |
| 215 | Warren County Estimated | 306 | -16.2% |
| 216 | Doña Ana County Estimated | 303 | -15.8% |
| 217 | St. Charles County Estimated | 293 | -10.1% |
| 218 | Cameron County Estimated | 290 | +2,316.7% |
| 218 | Sarasota County Estimated | 290 | -48.3% |
| 220 | Leon County Estimated | 289 | -15.5% |
| 221 | Clayton County Estimated | 283 | -6.3% |
| 222 | Hampshire County Estimated | 278 | -35.6% |
| 222 | Story County Estimated | 278 | -50.9% |
| 224 | Atlantic County Estimated | 275 | -6.8% |
| 224 | Barnstable County Estimated | 275 | -0.7% |
| 224 | Kalamazoo County Estimated | 275 | +7.4% |
| 227 | Spokane County Estimated | 274 | +37.7% |
| 228 | Lafayette Parish Estimated | 270 | +3.8% |
| 229 | Cumberland County Estimated | 269 | -51.9% |
| 229 | Olmsted County Estimated | 269 | -17.5% |
| 231 | Chittenden County Estimated | 267 | -17.8% |
| 232 | Jefferson County Estimated | 266 | +5.6% |
| 233 | St. Lucie County Estimated | 263 | -40% |
| 234 | Orange County Estimated | 260 | -33.7% |
| 234 | Waukesha County Estimated | 260 | -19.3% |
| 236 | Montgomery County Estimated | 259 | -23.1% |
| 236 | Ventura County Estimated | 259 | +180.9% |
| 238 | Monongalia County Estimated | 255 | -34.1% |
| 238 | St. Joseph County Estimated | 255 | -41.2% |
| 240 | Orange County Estimated | 251 | +76.8% |
| 240 | York County Estimated | 251 | -11% |
| 242 | Monterey County Estimated | 250 | +196.2% |
| 243 | Burlington County Estimated | 249 | +16.4% |
| 243 | Horry County Estimated | 249 | -30.6% |
| 243 | Midland County Estimated | 249 | -15.6% |
| 246 | Bartholomew County Estimated | 248 | -40.7% |
| 246 | Douglas County Estimated | 248 | +35.5% |
| 246 | Washington County Estimated | 248 | -23.5% |
| 249 | Berkeley County Estimated | 245 | -29.2% |
| 250 | Maui County Estimated | 239 | -29.3% |
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. 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, 2021) [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, 2021. 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=2021. 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, 2021. 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=2021.
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, 2021 [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=2021 (Accessed: 12 October 2026).
BibTeX
@misc{census_us_counties_by_net_2021,
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, 2021}},
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=2021. 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, 2021
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=2021
Y2 - 2026/10/12
N1 - Accessed via Invokely, https://invokely.ai/rankings/net-international-migration-july-june/us-counties?period=2021.
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 15,106 in 2021, according to the U.S. Census Bureau.
Which county has the lowest net international migration, July to June?
Onslow County, with -171 in 2021.
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.