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 2014, at 39,390. Mohave County had the lowest, at -72. The median was 10 and the figure for the United States was 945,635. Source: the U.S. Census Bureau.
Map of counties, 2014
Top 40 counties, 2014
Full ranking
| Rank | Counties | 2014 | Change on 2013 |
|---|---|---|---|
| 1 | Miami-Dade County Estimated | 39,390 | +2.9% |
| 2 | Los Angeles County Estimated | 35,319 | +11% |
| 3 | Harris County Estimated | 34,207 | +33.6% |
| 4 | King County Estimated | 20,130 | +56.7% |
| 5 | Santa Clara County Estimated | 19,198 | +18.6% |
| 6 | Queens County Estimated | 17,610 | +5.4% |
| 7 | Cook County Estimated | 16,989 | +2.9% |
| 8 | Kings County Estimated | 15,676 | +7.7% |
| 9 | Maricopa County Estimated | 14,856 | +18.9% |
| 10 | Broward County Estimated | 14,284 | +8.6% |
| 11 | San Diego County Estimated | 14,072 | +3.7% |
| 12 | Dallas County Estimated | 13,791 | +37.1% |
| 13 | Bronx County Estimated | 13,185 | +7.6% |
| 14 | Middlesex County Estimated | 13,098 | +17.8% |
| 15 | New York County Estimated | 12,379 | +10.4% |
| 16 | Orange County Estimated | 12,161 | +23% |
| 17 | Alameda County Estimated | 11,475 | +13.2% |
| 18 | Suffolk County Estimated | 10,942 | +17.6% |
| 19 | Orange County Estimated | 10,878 | +16.4% |
| 20 | Fairfax County Estimated | 10,802 | +42.8% |
| 21 | Philadelphia County Estimated | 9,920 | +15.5% |
| 22 | Montgomery County Estimated | 8,693 | +7.2% |
| 23 | Palm Beach County Estimated | 8,449 | +4.7% |
| 24 | Tarrant County Estimated | 7,785 | +46.2% |
| 25 | Hillsborough County Estimated | 7,513 | +10.8% |
| 26 | San Francisco County Estimated | 6,895 | +3.5% |
| 27 | Hudson County Estimated | 6,641 | +9.9% |
| 28 | Travis County Estimated | 6,413 | +28.9% |
| 29 | Hennepin County Estimated | 6,400 | +38.2% |
| 30 | Franklin County Estimated | 6,266 | -14.5% |
| 31 | Oakland County Estimated | 6,042 | +4.8% |
| 32 | Bexar County Estimated | 5,841 | +23.4% |
| 33 | Collin County Estimated | 5,646 | +36.9% |
| 34 | Fort Bend County Estimated | 5,479 | +35.4% |
| 35 | District of Columbia Estimated | 5,460 | +9.6% |
| 36 | Prince George's County Estimated | 5,244 | +11% |
| 37 | Essex County Estimated | 4,993 | +17.1% |
| 38 | Osceola County Estimated | 4,871 | +29.1% |
| 39 | San Mateo County Estimated | 4,849 | +13.7% |
| 40 | Sacramento County Estimated | 4,777 | +13.9% |
| 41 | Mecklenburg County Estimated | 4,630 | +1.4% |
| 42 | Middlesex County Estimated | 4,609 | +12.3% |
| 43 | Wayne County Estimated | 4,431 | -1.9% |
| 44 | Worcester County Estimated | 4,153 | +22.7% |
| 45 | DeKalb County Estimated | 4,071 | -16.9% |
| 46 | Contra Costa County Estimated | 4,027 | +17.5% |
| 47 | Norfolk County Estimated | 3,877 | +29.4% |
| 48 | Allegheny County Estimated | 3,839 | +14.4% |
| 49 | Cuyahoga County Estimated | 3,732 | -7% |
| 50 | Clark County Estimated | 3,706 | -14.2% |
| 51 | Ramsey County Estimated | 3,654 | +39.3% |
| 52 | Wake County Estimated | 3,620 | -3.5% |
| 53 | Essex County Estimated | 3,454 | -3.9% |
| 54 | Salt Lake County Estimated | 3,370 | +49% |
| 55 | Westchester County Estimated | 3,339 | +16.5% |
| 56 | Pima County Estimated | 3,334 | +14.2% |
| 57 | Honolulu County Estimated | 3,282 | -29.1% |
| 58 | Multnomah County Estimated | 3,209 | +64.2% |
| 59 | Providence County Estimated | 3,172 | -8.1% |
| 60 | Duval County Estimated | 3,114 | +5.9% |
| 61 | Nassau County Estimated | 3,072 | +4.1% |
| 62 | Bergen County Estimated | 3,029 | +7% |
| 63 | Snohomish County Estimated | 3,023 | +57.5% |
| 64 | Fulton County Estimated | 3,000 | -26.4% |
| 65 | Davidson County Estimated | 2,909 | -17.1% |
| 66 | Suffolk County Estimated | 2,903 | +2.6% |
| 67 | Baltimore County Estimated | 2,863 | +8.4% |
| 68 | Marion County Estimated | 2,859 | +9.6% |
| 69 | DuPage County Estimated | 2,857 | +11.4% |
| 70 | Erie County Estimated | 2,840 | +12.3% |
| 71 | Hampden County Estimated | 2,726 | +11.4% |
| 72 | Macomb County Estimated | 2,708 | -5.8% |
| 73 | Prince William County Estimated | 2,691 | +51% |
| 74 | Montgomery County Estimated | 2,603 | +13.8% |
| 75 | Denton County Estimated | 2,592 | +28.4% |
| 76 | Milwaukee County Estimated | 2,563 | -2.7% |
| 77 | El Paso County Estimated | 2,559 | +19.8% |
| 78 | Polk County Estimated | 2,533 | +18.2% |
| 79 | Arapahoe County Estimated | 2,473 | +3.8% |
| 80 | Lee County Estimated | 2,471 | +7.7% |
| 81 | Alexandria city Estimated | 2,417 | +38.4% |
| 82 | Arlington County Estimated | 2,412 | +44.4% |
| 83 | Union County Estimated | 2,371 | +2% |
| 84 | Loudoun County Estimated | 2,365 | +33.4% |
| 85 | Pinellas County Estimated | 2,345 | +4.6% |
| 86 | Washtenaw County Estimated | 2,291 | -3% |
| 87 | Gwinnett County Estimated | 2,284 | -24.5% |
| 88 | Monroe County Estimated | 2,254 | +10.7% |
| 89 | Hamilton County Estimated | 2,217 | -12% |
| 90 | Oklahoma County Estimated | 2,186 | +8.5% |
| 91 | Passaic County Estimated | 2,167 | -0.6% |
| 92 | Ingham County Estimated | 2,077 | +0.7% |
| 93 | Lehigh County Estimated | 2,057 | +10.7% |
| 94 | Pierce County Estimated | 2,045 | +28.2% |
| 95 | Riverside County Estimated | 2,002 | +30.4% |
| 96 | Baltimore city Estimated | 1,990 | +17.5% |
| 97 | Washington County Estimated | 1,987 | +85.9% |
| 98 | Douglas County Estimated | 1,977 | +59.8% |
| 99 | Denver County Estimated | 1,934 | +8.5% |
| 100 | Dane County Estimated | 1,929 | -7.1% |
| 101 | St. Louis County Estimated | 1,900 | +23.9% |
| 102 | Champaign County Estimated | 1,882 | -4.2% |
| 103 | Jefferson County Estimated | 1,846 | -44.1% |
| 104 | Collier County Estimated | 1,829 | -4.3% |
| 105 | Delaware County Estimated | 1,781 | +12.1% |
| 106 | Mercer County Estimated | 1,771 | +7.9% |
| 107 | Brazos County Estimated | 1,727 | +32.7% |
| 108 | Cobb County Estimated | 1,720 | -34.8% |
| 109 | Tippecanoe County Estimated | 1,715 | +11.4% |
| 110 | Seminole County Estimated | 1,704 | +24.4% |
| 111 | Lake County Estimated | 1,702 | +3% |
| 112 | San Bernardino County Estimated | 1,673 | +20.6% |
| 113 | Henrico County Estimated | 1,666 | +33.7% |
| 114 | Kent County Estimated | 1,658 | -0.1% |
| 115 | Guilford County Estimated | 1,645 | +7.2% |
| 116 | Berks County Estimated | 1,636 | +34.1% |
| 117 | Montgomery County Estimated | 1,589 | +64.3% |
| 118 | Tulsa County Estimated | 1,587 | +29.7% |
| 119 | Bell County Estimated | 1,562 | +5% |
| 120 | Onondaga County Estimated | 1,558 | +12.3% |
| 121 | El Paso County Estimated | 1,550 | -8.4% |
| 122 | Virginia Beach city Estimated | 1,537 | +17.1% |
| 123 | Cumberland County Estimated | 1,527 | -20.6% |
| 124 | Cumberland County Estimated | 1,487 | +75.6% |
| 125 | Chester County Estimated | 1,473 | +53.3% |
| 126 | Howard County Estimated | 1,462 | +15.5% |
| 127 | Plymouth County Estimated | 1,456 | +14.8% |
| 128 | New Castle County Estimated | 1,445 | -22.8% |
| 129 | Bristol County Estimated | 1,438 | +27.8% |
| 130 | Hillsborough County Estimated | 1,434 | +11.9% |
| 131 | Lancaster County Estimated | 1,433 | +8.2% |
| 132 | Hidalgo County Estimated | 1,425 | +29.2% |
| 133 | Durham County Estimated | 1,423 | -5.3% |
| 134 | Pinal County Estimated | 1,407 | +8.6% |
| 135 | Lancaster County Estimated | 1,387 | +80.4% |
| 136 | Polk County Estimated | 1,370 | -7.8% |
| 137 | Williamson County Estimated | 1,315 | +33.6% |
| 138 | Centre County Estimated | 1,280 | +15.2% |
| 139 | Fresno County Estimated | 1,273 | +39% |
| 140 | Johnson County Estimated | 1,247 | +13.7% |
| 141 | Volusia County Estimated | 1,237 | +13.7% |
| 142 | Ventura County Estimated | 1,228 | +22.8% |
| 143 | Norfolk city Estimated | 1,224 | +19.5% |
| 144 | Jefferson Parish Estimated | 1,206 | -9.9% |
| 145 | Brevard County Estimated | 1,203 | +17.1% |
| 146 | Shelby County Estimated | 1,201 | -21.2% |
| 147 | Alachua County Estimated | 1,193 | +15.7% |
| 147 | Dauphin County Estimated | 1,193 | +18.8% |
| 149 | Santa Barbara County Estimated | 1,183 | +16.4% |
| 150 | Greenville County Estimated | 1,182 | +33.9% |
| 151 | Yolo County Estimated | 1,151 | +7.8% |
| 152 | Sedgwick County Estimated | 1,144 | +9% |
| 153 | Yuma County Estimated | 1,124 | +31.6% |
| 154 | San Joaquin County Estimated | 1,121 | +12.4% |
| 155 | Johnson County Estimated | 1,119 | +4.5% |
| 156 | Montgomery County Estimated | 1,102 | -19.3% |
| 157 | Albany County Estimated | 1,100 | +21.8% |
| 158 | Summit County Estimated | 1,099 | -11.9% |
| 159 | Anne Arundel County Estimated | 1,070 | +8.6% |
| 160 | Fayette County Estimated | 1,067 | -40.4% |
| 161 | Camden County Estimated | 1,048 | +5.6% |
| 162 | Morris County Estimated | 1,039 | -4.2% |
| 163 | Richland County Estimated | 1,026 | -2.7% |
| 164 | Luzerne County Estimated | 1,022 | +33.2% |
| 165 | Boulder County Estimated | 1,017 | +30.4% |
| 166 | Bucks County Estimated | 978 | +27.8% |
| 167 | Monroe County Estimated | 974 | +16.9% |
| 168 | Kern County Estimated | 971 | -7.2% |
| 169 | Story County Estimated | 966 | +5.6% |
| 170 | Manatee County Estimated | 890 | -3.2% |
| 171 | Solano County Estimated | 885 | -7.3% |
| 172 | Pulaski County Estimated | 883 | +19.6% |
| 173 | Somerset County Estimated | 879 | -6.1% |
| 174 | Sarasota County Estimated | 874 | +31.8% |
| 175 | Spokane County Estimated | 872 | +38.2% |
| 176 | Tompkins County Estimated | 869 | +11.6% |
| 177 | Rockland County Estimated | 839 | +0.4% |
| 178 | Onslow County Estimated | 829 | -43.1% |
| 179 | Atlantic County Estimated | 827 | -0.8% |
| 180 | Ada County Estimated | 826 | +15.8% |
| 181 | St. Lucie County Estimated | 819 | +24.1% |
| 182 | Benton County Estimated | 809 | +42.9% |
| 182 | Dakota County Estimated | 809 | +59.9% |
| 184 | Utah County Estimated | 805 | +72% |
| 185 | Lackawanna County Estimated | 800 | +17.6% |
| 186 | Richmond County Estimated | 799 | +20.7% |
| 187 | Pasco County Estimated | 797 | +14.3% |
| 188 | Hampshire County Estimated | 790 | +5.2% |
| 189 | Wyandotte County Estimated | 772 | +10.8% |
| 190 | Riley County Estimated | 770 | +7.8% |
| 190 | Webb County Estimated | 770 | +21.3% |
| 192 | Butler County Estimated | 761 | -21.2% |
| 193 | Nueces County Estimated | 753 | +21.1% |
| 194 | McLean County Estimated | 749 | +12.1% |
| 195 | York County Estimated | 743 | +19.8% |
| 196 | Jefferson County Estimated | 738 | +37.2% |
| 197 | Escambia County Estimated | 723 | -7.3% |
| 198 | Orange County Estimated | 711 | -6.4% |
| 199 | Boone County Estimated | 708 | +29.9% |
| 200 | Thurston County Estimated | 703 | +27.6% |
| 201 | Bernalillo County Estimated | 701 | -65.7% |
| 202 | East Baton Rouge Parish Estimated | 697 | -5.2% |
| 202 | Potter County Estimated | 697 | +26.3% |
| 204 | Olmsted County Estimated | 696 | +40.3% |
| 205 | Stearns County Estimated | 691 | +71.9% |
| 206 | Orleans Parish Estimated | 689 | -8.1% |
| 207 | Northampton County Estimated | 685 | +16.9% |
| 208 | Leon County Estimated | 682 | +7.1% |
| 209 | St. Louis city Estimated | 679 | -4.1% |
| 210 | Cumberland County Estimated | 678 | +6.6% |
| 211 | Frederick County Estimated | 669 | +11.3% |
| 212 | Cleveland County Estimated | 668 | -0.3% |
| 213 | Lane County Estimated | 667 | +122.3% |
| 214 | Montgomery County Estimated | 663 | +29.5% |
| 215 | Lake County Estimated | 659 | -2.8% |
| 216 | Oneida County Estimated | 652 | +12.6% |
| 217 | Brazoria County Estimated | 648 | +55.4% |
| 218 | Douglas County Estimated | 642 | -2.3% |
| 219 | Hamilton County Estimated | 639 | -0.3% |
| 220 | Richmond city Estimated | 635 | +21.6% |
| 221 | Chesterfield County Estimated | 634 | +15.1% |
| 222 | Anchorage Municipality Estimated | 615 | -59.7% |
| 223 | Adams County Estimated | 614 | +0.5% |
| 223 | Jackson County Estimated | 614 | +4.8% |
| 225 | Minnehaha County Estimated | 606 | +456% |
| 226 | Sonoma County Estimated | 605 | +57.1% |
| 227 | Marin County Estimated | 600 | -5.4% |
| 228 | Lebanon County Estimated | 595 | +4.6% |
| 229 | Montgomery County Estimated | 592 | -28.3% |
| 230 | Lorain County Estimated | 588 | -0.7% |
| 231 | Waukesha County Estimated | 585 | -1.7% |
| 232 | St. Joseph County Estimated | 582 | +12.8% |
| 233 | Chatham County Estimated | 575 | -31.2% |
| 233 | Portage County Estimated | 575 | -6.5% |
| 235 | Jefferson County Estimated | 570 | -29.4% |
| 236 | Douglas County Estimated | 568 | +6% |
| 237 | Allen County Estimated | 566 | -10.2% |
| 238 | Newport News city Estimated | 565 | +0.7% |
| 239 | Galveston County Estimated | 563 | +2.6% |
| 240 | Muscogee County Estimated | 560 | -25% |
| 241 | Cameron County Estimated | 557 | +75.7% |
| 241 | Whatcom County Estimated | 557 | +131.1% |
| 243 | Jefferson County Estimated | 552 | +23.5% |
| 244 | Washington County Estimated | 547 | +87.3% |
| 245 | Monongalia County Estimated | 546 | +74.4% |
| 245 | Rutherford County Estimated | 546 | -10.2% |
| 247 | Anoka County Estimated | 545 | +40.8% |
| 248 | Erie County Estimated | 544 | -3.9% |
| 248 | Warren County Estimated | 544 | -32.1% |
| 250 | Clayton County Estimated | 541 | -25.4% |
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. 9 counties with data in other periods have no value for 2014 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, 2014) [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, 2014. 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=2014. 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, 2014. 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=2014.
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, 2014 [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=2014 (Accessed: 12 October 2026).
BibTeX
@misc{census_us_counties_by_net_2014,
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, 2014}},
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=2014. 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, 2014
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=2014
Y2 - 2026/10/12
N1 - Accessed via Invokely, https://invokely.ai/rankings/net-international-migration-july-june/us-counties?period=2014.
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 39,390 in 2014, according to the U.S. Census Bureau.
Which county has the lowest net international migration, July to June?
Mohave County, with -72 in 2014.
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 2014 and are not ranked.