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 2018, at 40,353. Onslow County had the lowest, at -604. The median was 7 and the figure for the United States was 719,871. Source: the U.S. Census Bureau.
Top 40 counties, 2018
Full ranking
| Rank | Counties | 2018 | Change on 2017 |
|---|---|---|---|
| 1 | Miami-Dade County Estimated | 40,353 | -24.9% |
| 2 | Harris County Estimated | 25,591 | -24.3% |
| 3 | Los Angeles County Estimated | 19,529 | -35.8% |
| 4 | Orange County Estimated | 18,132 | -0.4% |
| 5 | King County Estimated | 17,662 | -18.5% |
| 6 | Broward County Estimated | 15,867 | -24.3% |
| 7 | Santa Clara County Estimated | 13,244 | -26.3% |
| 8 | Cook County Estimated | 12,369 | -30.1% |
| 9 | Bronx County Estimated | 11,458 | -5.3% |
| 10 | Queens County Estimated | 10,456 | -23.4% |
| 11 | Hillsborough County Estimated | 10,226 | -13.3% |
| 12 | Dallas County Estimated | 9,951 | -27.4% |
| 13 | Middlesex County Estimated | 9,733 | -30.7% |
| 14 | Philadelphia County Estimated | 9,198 | +1.2% |
| 15 | Palm Beach County Estimated | 8,969 | -25.3% |
| 16 | Kings County Estimated | 8,908 | -23.7% |
| 17 | Suffolk County Estimated | 8,705 | -25.5% |
| 18 | Alameda County Estimated | 8,351 | -26.1% |
| 19 | Osceola County Estimated | 8,082 | +25.2% |
| 20 | New York County Estimated | 7,909 | -20.3% |
| 21 | Orange County Estimated | 5,959 | -37.5% |
| 22 | Montgomery County Estimated | 5,924 | -29.3% |
| 23 | Maricopa County Estimated | 5,844 | -39.7% |
| 24 | Hudson County Estimated | 5,755 | -41.2% |
| 25 | Tarrant County Estimated | 5,402 | -23.4% |
| 26 | Fairfax County Estimated | 5,323 | -48.8% |
| 27 | Marion County Estimated | 5,189 | +58.4% |
| 28 | Mecklenburg County Estimated | 4,971 | -24.5% |
| 29 | San Diego County Estimated | 4,645 | -49.4% |
| 30 | Fort Bend County Estimated | 4,599 | -27.1% |
| 31 | Essex County Estimated | 4,568 | -18.4% |
| 32 | Collin County Estimated | 4,495 | -28.8% |
| 33 | Prince George's County Estimated | 4,492 | -25.1% |
| 34 | Travis County Estimated | 4,363 | -27.5% |
| 35 | San Francisco County Estimated | 4,162 | -25.3% |
| 36 | Essex County Estimated | 4,156 | -32.2% |
| 37 | Providence County Estimated | 4,133 | +98.9% |
| 38 | Franklin County Estimated | 4,110 | -32.3% |
| 39 | DeKalb County Estimated | 3,943 | -16.5% |
| 40 | Worcester County Estimated | 3,899 | -11.7% |
| 41 | Salt Lake County Estimated | 3,880 | -31.2% |
| 42 | Hennepin County Estimated | 3,857 | -12% |
| 43 | Polk County Estimated | 3,795 | +16.4% |
| 44 | Oakland County Estimated | 3,706 | -33.9% |
| 45 | Middlesex County Estimated | 3,504 | -47.5% |
| 46 | Wake County Estimated | 3,468 | -23.7% |
| 47 | Davidson County Estimated | 3,402 | +12.6% |
| 48 | Sacramento County Estimated | 3,375 | -30.4% |
| 49 | Lee County Estimated | 3,295 | -21.5% |
| 50 | San Mateo County Estimated | 3,292 | -26.2% |
| 51 | Gwinnett County Estimated | 3,254 | -12.1% |
| 52 | Hampden County Estimated | 3,205 | +26.1% |
| 53 | Fulton County Estimated | 3,185 | -20.5% |
| 54 | Contra Costa County Estimated | 3,138 | -27.2% |
| 55 | Duval County Estimated | 3,088 | -27.7% |
| 56 | Honolulu County Estimated | 3,083 | -11.1% |
| 57 | District of Columbia Estimated | 3,055 | -20.8% |
| 58 | Wayne County Estimated | 2,963 | -35.6% |
| 59 | Bexar County Estimated | 2,867 | -30.9% |
| 60 | Norfolk County Estimated | 2,769 | -35.5% |
| 61 | Lehigh County Estimated | 2,748 | +18.5% |
| 62 | Cuyahoga County Estimated | 2,715 | -12.2% |
| 63 | Monroe County Estimated | 2,589 | +8.1% |
| 64 | Snohomish County Estimated | 2,514 | -21.2% |
| 65 | Passaic County Estimated | 2,497 | -30.8% |
| 66 | Westchester County Estimated | 2,487 | -16% |
| 67 | Milwaukee County Estimated | 2,461 | -16.1% |
| 68 | Arapahoe County Estimated | 2,456 | +22.5% |
| 69 | Allegheny County Estimated | 2,448 | -14.9% |
| 70 | Union County Estimated | 2,424 | -34.3% |
| 71 | Seminole County Estimated | 2,406 | -3.1% |
| 72 | Erie County Estimated | 2,400 | -6.2% |
| 73 | Collier County Estimated | 2,258 | -29.4% |
| 74 | Denver County Estimated | 2,220 | +34.4% |
| 75 | Berks County Estimated | 2,219 | +26.9% |
| 75 | DuPage County Estimated | 2,219 | -30.9% |
| 77 | Suffolk County Estimated | 2,165 | -18.1% |
| 78 | Bergen County Estimated | 2,092 | -53.5% |
| 79 | St. Louis County Estimated | 2,030 | -23.7% |
| 80 | Cobb County Estimated | 2,005 | -17.5% |
| 81 | Tippecanoe County Estimated | 1,973 | +54.9% |
| 82 | Pinellas County Estimated | 1,933 | -31.4% |
| 83 | Nassau County Estimated | 1,890 | -24.6% |
| 84 | Denton County Estimated | 1,878 | -29.3% |
| 85 | Greenville County Estimated | 1,866 | +13.8% |
| 86 | Ramsey County Estimated | 1,852 | -14.9% |
| 87 | Bristol County Estimated | 1,836 | -8.3% |
| 88 | Baltimore County Estimated | 1,831 | -33% |
| 89 | Volusia County Estimated | 1,747 | +2.6% |
| 90 | Montgomery County Estimated | 1,731 | -13% |
| 91 | Shelby County Estimated | 1,687 | +8.7% |
| 92 | Champaign County Estimated | 1,683 | -21.9% |
| 93 | Mercer County Estimated | 1,665 | -35.3% |
| 94 | Multnomah County Estimated | 1,546 | -47.3% |
| 95 | Durham County Estimated | 1,545 | -21.6% |
| 96 | Delaware County Estimated | 1,535 | -7.7% |
| 97 | Plymouth County Estimated | 1,509 | -24.4% |
| 98 | Baltimore city Estimated | 1,498 | -23.7% |
| 99 | Prince William County Estimated | 1,476 | -46.6% |
| 100 | Lancaster County Estimated | 1,455 | +12.4% |
| 101 | Douglas County Estimated | 1,433 | -26.9% |
| 102 | Hillsborough County Estimated | 1,396 | -5% |
| 103 | Pima County Estimated | 1,391 | -36.9% |
| 104 | Jefferson Parish Estimated | 1,375 | +8.7% |
| 105 | Washtenaw County Estimated | 1,326 | -37.2% |
| 106 | Hamilton County Estimated | 1,299 | -34% |
| 107 | Oklahoma County Estimated | 1,286 | -3.5% |
| 108 | Guilford County Estimated | 1,272 | -24.6% |
| 109 | Camden County Estimated | 1,268 | -18.9% |
| 110 | Adams County Estimated | 1,260 | +45.2% |
| 111 | Washington County Estimated | 1,257 | -52.1% |
| 112 | Tulsa County Estimated | 1,252 | +6% |
| 113 | Arlington County Estimated | 1,240 | -46% |
| 114 | Monroe County Estimated | 1,201 | +57.6% |
| 115 | Kent County Estimated | 1,187 | -28.2% |
| 116 | Loudoun County Estimated | 1,186 | -48.4% |
| 117 | Ingham County Estimated | 1,173 | -33% |
| 118 | Luzerne County Estimated | 1,164 | +4% |
| 119 | Dauphin County Estimated | 1,157 | +4% |
| 120 | Lake County Estimated | 1,142 | +3.7% |
| 121 | Onondaga County Estimated | 1,141 | -14.3% |
| 122 | Dane County Estimated | 1,121 | -46.2% |
| 123 | Utah County Estimated | 1,115 | -33% |
| 124 | Richland County Estimated | 1,112 | +7.8% |
| 125 | Johnson County Estimated | 1,111 | +76.3% |
| 126 | Macomb County Estimated | 1,107 | -45.9% |
| 127 | Pierce County Estimated | 1,088 | -36.4% |
| 128 | Henrico County Estimated | 1,074 | -45.9% |
| 129 | Alexandria city Estimated | 1,072 | -41.9% |
| 130 | Chester County Estimated | 1,059 | -1.9% |
| 131 | Boulder County Estimated | 1,038 | +22.8% |
| 132 | Montgomery County Estimated | 1,029 | -26.7% |
| 133 | Brevard County Estimated | 1,025 | -21.2% |
| 134 | Pasco County Estimated | 1,023 | -18.6% |
| 135 | Brazos County Estimated | 998 | -27.9% |
| 136 | Alachua County Estimated | 995 | -28.6% |
| 137 | Knox County Estimated | 949 | +23.6% |
| 138 | Williamson County Estimated | 932 | -29.9% |
| 139 | Lake County Estimated | 926 | -44.2% |
| 140 | York County Estimated | 914 | +28.4% |
| 141 | Hamilton County Estimated | 892 | +70.9% |
| 142 | Centre County Estimated | 879 | -15.1% |
| 143 | Lackawanna County Estimated | 869 | +7.5% |
| 144 | Manatee County Estimated | 866 | -31.6% |
| 145 | Yolo County Estimated | 865 | -27.8% |
| 146 | Marion County Estimated | 857 | +12.6% |
| 147 | Sarasota County Estimated | 853 | -35.4% |
| 148 | Northampton County Estimated | 848 | +13.1% |
| 149 | Jackson County Estimated | 844 | -27.6% |
| 150 | Howard County Estimated | 815 | -36.5% |
| 151 | Jefferson County Estimated | 795 | +31.2% |
| 152 | San Joaquin County Estimated | 793 | -46.1% |
| 153 | Morris County Estimated | 788 | -49% |
| 154 | St. Lucie County Estimated | 786 | -24.4% |
| 155 | St. Joseph County Estimated | 771 | +65.5% |
| 156 | Lebanon County Estimated | 767 | +34.1% |
| 157 | Lancaster County Estimated | 744 | -26.5% |
| 158 | St. Louis city Estimated | 741 | -22.5% |
| 159 | Allen County Estimated | 734 | +74.8% |
| 159 | Summit County Estimated | 734 | -29.6% |
| 161 | Bartholomew County Estimated | 731 | +56.5% |
| 162 | Bernalillo County Estimated | 718 | -8.5% |
| 163 | Sedgwick County Estimated | 714 | +98.3% |
| 164 | Jefferson County Estimated | 708 | -70.4% |
| 165 | Albany County Estimated | 700 | -23.5% |
| 166 | East Baton Rouge Parish Estimated | 692 | +0.1% |
| 167 | Erie County Estimated | 689 | -6.4% |
| 168 | Williamson County Estimated | 687 | +22.5% |
| 169 | Bucks County Estimated | 684 | -10.8% |
| 170 | Douglas County Estimated | 675 | +21% |
| 171 | Stearns County Estimated | 666 | -4.7% |
| 172 | Montgomery County Estimated | 636 | -42.4% |
| 173 | Maui County Estimated | 630 | +6.6% |
| 174 | Rutherford County Estimated | 613 | +15.7% |
| 175 | Wyandotte County Estimated | 612 | +84.3% |
| 176 | Somerset County Estimated | 588 | -56.3% |
| 177 | Boone County Estimated | 584 | -23.7% |
| 177 | Hampshire County Estimated | 584 | -28.5% |
| 179 | Larimer County Estimated | 577 | +26.5% |
| 180 | Rockland County Estimated | 572 | -18.2% |
| 181 | Dakota County Estimated | 570 | -10.2% |
| 181 | Johnson County Estimated | 570 | -50.9% |
| 183 | Cumberland County Estimated | 564 | -10% |
| 184 | Hawaii County Estimated | 562 | +9.8% |
| 185 | Cumberland County Estimated | 559 | +28.8% |
| 186 | Richmond city Estimated | 552 | -41.5% |
| 187 | Bell County Estimated | 550 | -31.4% |
| 187 | Forsyth County Estimated | 550 | -8.2% |
| 189 | Charleston County Estimated | 544 | +4.4% |
| 190 | McLean County Estimated | 536 | -25.6% |
| 191 | Chatham County Estimated | 532 | -16.9% |
| 192 | Cumberland County Estimated | 530 | +46.4% |
| 193 | Leon County Estimated | 528 | -30.2% |
| 194 | Forsyth County Estimated | 520 | -20.1% |
| 195 | Atlantic County Estimated | 519 | -36.6% |
| 195 | Marin County Estimated | 519 | -25% |
| 197 | Fresno County Estimated | 506 | -59.1% |
| 198 | Jefferson County Estimated | 502 | +12.6% |
| 198 | Lorain County Estimated | 502 | +5.2% |
| 200 | New Castle County Estimated | 500 | -60.3% |
| 200 | Oneida County Estimated | 500 | -2.3% |
| 202 | Clayton County Estimated | 488 | -14.5% |
| 203 | Madison County Estimated | 483 | +21.4% |
| 204 | Hamilton County Estimated | 481 | +18.5% |
| 205 | Brazoria County Estimated | 480 | -20.9% |
| 206 | Frederick County Estimated | 474 | -31.7% |
| 207 | Tompkins County Estimated | 459 | -25.5% |
| 208 | Richmond County Estimated | 457 | -32.7% |
| 209 | Cass County Estimated | 456 | -62.7% |
| 210 | Jefferson County Estimated | 452 | -19.6% |
| 210 | Polk County Estimated | 452 | -62.8% |
| 212 | Lexington County Estimated | 451 | +11.1% |
| 213 | Olmsted County Estimated | 450 | -10% |
| 213 | St. Charles County Estimated | 450 | -17.6% |
| 215 | Weld County Estimated | 443 | +49.7% |
| 216 | Orleans Parish Estimated | 441 | +1.6% |
| 217 | Jackson County Estimated | 440 | +39.2% |
| 218 | Douglas County Estimated | 438 | +52.6% |
| 218 | Orange County Estimated | 438 | -31.8% |
| 220 | Brown County Estimated | 434 | +26.9% |
| 221 | Highlands County Estimated | 421 | -13.7% |
| 222 | Whitman County Estimated | 417 | -17.3% |
| 223 | Butler County Estimated | 416 | -37.4% |
| 224 | Mobile County Estimated | 413 | +9.5% |
| 224 | Santa Barbara County Estimated | 413 | -54% |
| 226 | El Paso County Estimated | 407 | -25.7% |
| 227 | Mahoning County Estimated | 406 | +27.7% |
| 228 | Payne County Estimated | 397 | +22.2% |
| 229 | Barnstable County Estimated | 396 | -26.8% |
| 230 | Lee County Estimated | 393 | +0.3% |
| 231 | Hernando County Estimated | 391 | +12.7% |
| 232 | Cumberland County Estimated | 389 | -55.9% |
| 233 | Anoka County Estimated | 388 | -12% |
| 234 | Horry County Estimated | 386 | +6.9% |
| 235 | Washington County Estimated | 383 | -37.4% |
| 236 | Kalamazoo County Estimated | 382 | -29.4% |
| 237 | Anne Arundel County Estimated | 380 | -48.4% |
| 238 | Chittenden County Estimated | 379 | -71% |
| 238 | Winnebago County Estimated | 379 | -15.2% |
| 240 | Hendry County Estimated | 377 | -22.3% |
| 241 | Bay County Estimated | 375 | -28.3% |
| 241 | Nueces County Estimated | 375 | -33.6% |
| 243 | Galveston County Estimated | 362 | -28.5% |
| 244 | Harrisonburg city Estimated | 360 | -35% |
| 245 | Whatcom County Estimated | 357 | -22.2% |
| 246 | Webb County Estimated | 354 | -36.6% |
| 247 | Warren County Estimated | 353 | -35.5% |
| 248 | Fayette County Estimated | 352 | -72.8% |
| 248 | Hays County Estimated | 352 | -21.3% |
| 250 | Montgomery County Estimated | 344 | -4.7% |
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 2018 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, 2018) [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, 2018. 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=2018. 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, 2018. 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=2018.
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, 2018 [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=2018 (Accessed: 12 October 2026).
BibTeX
@misc{census_us_counties_by_net_2018,
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, 2018}},
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=2018. 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, 2018
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=2018
Y2 - 2026/10/12
N1 - Accessed via Invokely, https://invokely.ai/rankings/net-international-migration-july-june/us-counties?period=2018.
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 40,353 in 2018, according to the U.S. Census Bureau.
Which county has the lowest net international migration, July to June?
Onslow County, with -604 in 2018.
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 2018 and are not ranked.