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 2015, at 44,052. Mohave County had the lowest, at -80. The median was 13 and the figure for the United States was 1.06 million. Source: the U.S. Census Bureau.
Map of counties, 2015
Top 40 counties, 2015
Full ranking
| Rank | Counties | 2015 | Change on 2014 |
|---|---|---|---|
| 1 | Miami-Dade County Estimated | 44,052 | +11.8% |
| 2 | Los Angeles County Estimated | 41,539 | +17.6% |
| 3 | Harris County Estimated | 36,830 | +7.7% |
| 4 | Santa Clara County Estimated | 22,035 | +14.8% |
| 5 | King County Estimated | 21,668 | +7.6% |
| 6 | Cook County Estimated | 17,539 | +3.2% |
| 7 | Queens County Estimated | 17,401 | -1.2% |
| 8 | Broward County Estimated | 16,963 | +18.8% |
| 9 | San Diego County Estimated | 16,772 | +19.2% |
| 10 | Dallas County Estimated | 15,605 | +13.2% |
| 11 | Kings County Estimated | 15,115 | -3.6% |
| 12 | Orange County Estimated | 14,575 | +19.9% |
| 13 | Alameda County Estimated | 13,960 | +21.7% |
| 14 | Bronx County Estimated | 13,267 | +0.6% |
| 15 | Maricopa County Estimated | 12,903 | -13.1% |
| 16 | Orange County Estimated | 12,679 | +16.6% |
| 17 | New York County Estimated | 11,980 | -3.2% |
| 18 | Fairfax County Estimated | 11,849 | +9.7% |
| 19 | Middlesex County Estimated | 11,813 | -9.8% |
| 20 | Palm Beach County Estimated | 10,042 | +18.9% |
| 21 | Suffolk County Estimated | 10,035 | -8.3% |
| 22 | Montgomery County Estimated | 10,003 | +15.1% |
| 23 | Hillsborough County Estimated | 9,452 | +25.8% |
| 24 | Hudson County Estimated | 9,022 | +35.9% |
| 25 | Philadelphia County Estimated | 8,946 | -9.8% |
| 26 | Tarrant County Estimated | 8,573 | +10.1% |
| 27 | Franklin County Estimated | 7,508 | +19.8% |
| 28 | San Francisco County Estimated | 7,437 | +7.9% |
| 29 | Travis County Estimated | 7,200 | +12.3% |
| 30 | Collin County Estimated | 6,766 | +19.8% |
| 31 | Hennepin County Estimated | 6,550 | +2.3% |
| 32 | Fort Bend County Estimated | 6,411 | +17% |
| 33 | Prince George's County Estimated | 6,391 | +21.9% |
| 34 | Middlesex County Estimated | 6,365 | +38.1% |
| 35 | Bexar County Estimated | 6,128 | +4.9% |
| 36 | Honolulu County Estimated | 5,952 | +81.4% |
| 37 | Clark County Estimated | 5,905 | +59.3% |
| 38 | Oakland County Estimated | 5,748 | -4.9% |
| 39 | San Mateo County Estimated | 5,733 | +18.2% |
| 40 | Sacramento County Estimated | 5,686 | +19% |
| 41 | Osceola County Estimated | 5,503 | +13% |
| 42 | District of Columbia Estimated | 5,298 | -3% |
| 43 | Contra Costa County Estimated | 5,125 | +27.3% |
| 44 | Mecklenburg County Estimated | 5,051 | +9.1% |
| 45 | DeKalb County Estimated | 4,978 | +22.3% |
| 46 | Essex County Estimated | 4,894 | +41.7% |
| 47 | Essex County Estimated | 4,622 | -7.4% |
| 48 | Wayne County Estimated | 4,440 | +0.2% |
| 49 | Fulton County Estimated | 4,270 | +42.3% |
| 50 | Bergen County Estimated | 4,141 | +36.7% |
| 51 | Cuyahoga County Estimated | 4,024 | +7.8% |
| 52 | Providence County Estimated | 3,993 | +25.9% |
| 53 | Wake County Estimated | 3,835 | +5.9% |
| 54 | Duval County Estimated | 3,831 | +23% |
| 55 | Worcester County Estimated | 3,728 | -10.2% |
| 56 | Gwinnett County Estimated | 3,710 | +62.4% |
| 57 | Westchester County Estimated | 3,543 | +6.1% |
| 58 | Ramsey County Estimated | 3,502 | -4.2% |
| 59 | Davidson County Estimated | 3,489 | +19.9% |
| 60 | Norfolk County Estimated | 3,432 | -11.5% |
| 61 | Lee County Estimated | 3,426 | +38.6% |
| 62 | Allegheny County Estimated | 3,338 | -13.1% |
| 63 | Baltimore County Estimated | 3,324 | +16.1% |
| 64 | Pima County Estimated | 3,245 | -2.7% |
| 65 | Union County Estimated | 3,229 | +36.2% |
| 66 | Passaic County Estimated | 3,207 | +48% |
| 67 | Nassau County Estimated | 3,125 | +1.7% |
| 68 | Snohomish County Estimated | 3,119 | +3.2% |
| 69 | DuPage County Estimated | 3,114 | +9% |
| 70 | Arapahoe County Estimated | 3,095 | +25.2% |
| 71 | Prince William County Estimated | 3,092 | +14.9% |
| 72 | Oklahoma County Estimated | 3,056 | +39.8% |
| 73 | Denton County Estimated | 3,047 | +17.6% |
| 74 | Erie County Estimated | 2,963 | +4.3% |
| 75 | Riverside County Estimated | 2,956 | +47.7% |
| 76 | Milwaukee County Estimated | 2,928 | +14.2% |
| 77 | Suffolk County Estimated | 2,882 | -0.7% |
| 78 | Polk County Estimated | 2,756 | +8.8% |
| 79 | St. Louis County Estimated | 2,695 | +41.8% |
| 80 | Jefferson County Estimated | 2,684 | +45.4% |
| 81 | El Paso County Estimated | 2,680 | +4.7% |
| 82 | San Bernardino County Estimated | 2,654 | +58.6% |
| 83 | Multnomah County Estimated | 2,650 | -17.4% |
| 84 | Cobb County Estimated | 2,613 | +51.9% |
| 85 | Denver County Estimated | 2,607 | +34.8% |
| 85 | Marion County Estimated | 2,607 | -8.8% |
| 87 | Hamilton County Estimated | 2,593 | +17% |
| 88 | Loudoun County Estimated | 2,560 | +8.2% |
| 89 | Salt Lake County Estimated | 2,552 | -24.3% |
| 90 | Arlington County Estimated | 2,506 | +3.9% |
| 91 | Collier County Estimated | 2,497 | +36.5% |
| 92 | Alexandria city Estimated | 2,496 | +3.3% |
| 92 | Pinellas County Estimated | 2,496 | +6.4% |
| 94 | Hampden County Estimated | 2,480 | -9% |
| 95 | Dane County Estimated | 2,460 | +27.5% |
| 96 | Macomb County Estimated | 2,420 | -10.6% |
| 97 | Pierce County Estimated | 2,405 | +17.6% |
| 98 | Monroe County Estimated | 2,322 | +3% |
| 99 | Montgomery County Estimated | 2,291 | -12% |
| 100 | Baltimore city Estimated | 2,289 | +15% |
| 101 | Tulsa County Estimated | 2,278 | +43.5% |
| 102 | Mercer County Estimated | 2,245 | +26.8% |
| 103 | El Paso County Estimated | 2,187 | +41.1% |
| 104 | Lake County Estimated | 2,138 | +25.6% |
| 105 | Johnson County Estimated | 2,137 | +71.4% |
| 106 | Washtenaw County Estimated | 2,094 | -8.6% |
| 107 | Champaign County Estimated | 2,089 | +11% |
| 108 | Lehigh County Estimated | 2,018 | -1.9% |
| 109 | Seminole County Estimated | 1,999 | +17.3% |
| 110 | Hillsborough County Estimated | 1,979 | +38% |
| 111 | Ingham County Estimated | 1,946 | -6.3% |
| 112 | Henrico County Estimated | 1,913 | +14.8% |
| 113 | Bell County Estimated | 1,912 | +22.4% |
| 114 | Cumberland County Estimated | 1,788 | +17.1% |
| 115 | Fresno County Estimated | 1,778 | +39.7% |
| 116 | San Joaquin County Estimated | 1,777 | +58.5% |
| 117 | Virginia Beach city Estimated | 1,773 | +15.4% |
| 118 | New Castle County Estimated | 1,760 | +21.8% |
| 119 | Washington County Estimated | 1,746 | -12.1% |
| 120 | Jefferson Parish Estimated | 1,738 | +44.1% |
| 121 | Delaware County Estimated | 1,735 | -2.6% |
| 122 | Montgomery County Estimated | 1,687 | +6.2% |
| 123 | Brazos County Estimated | 1,646 | -4.7% |
| 123 | Onondaga County Estimated | 1,646 | +5.6% |
| 125 | Berks County Estimated | 1,627 | -0.6% |
| 126 | Shelby County Estimated | 1,617 | +34.6% |
| 127 | Durham County Estimated | 1,615 | +13.5% |
| 128 | Douglas County Estimated | 1,614 | -18.4% |
| 129 | Williamson County Estimated | 1,610 | +22.4% |
| 130 | Onslow County Estimated | 1,578 | +90.3% |
| 131 | Howard County Estimated | 1,569 | +7.3% |
| 132 | Chittenden County Estimated | 1,539 | +404.6% |
| 133 | Bristol County Estimated | 1,533 | +6.6% |
| 133 | Santa Barbara County Estimated | 1,533 | +29.6% |
| 135 | Sedgwick County Estimated | 1,529 | +33.7% |
| 136 | Yuma County Estimated | 1,518 | +35.1% |
| 137 | Anne Arundel County Estimated | 1,516 | +41.7% |
| 138 | Morris County Estimated | 1,509 | +45.2% |
| 139 | Plymouth County Estimated | 1,506 | +3.4% |
| 140 | Hidalgo County Estimated | 1,497 | +5.1% |
| 141 | Norfolk city Estimated | 1,493 | +22% |
| 142 | Fayette County Estimated | 1,478 | +38.5% |
| 143 | Yolo County Estimated | 1,473 | +28% |
| 144 | Lancaster County Estimated | 1,446 | +0.9% |
| 145 | Kent County Estimated | 1,445 | -12.8% |
| 146 | Greenville County Estimated | 1,415 | +19.7% |
| 147 | Chester County Estimated | 1,401 | -4.9% |
| 148 | Camden County Estimated | 1,392 | +32.8% |
| 149 | Ventura County Estimated | 1,383 | +12.6% |
| 150 | Tippecanoe County Estimated | 1,382 | -19.4% |
| 151 | Guilford County Estimated | 1,349 | -18% |
| 152 | Bernalillo County Estimated | 1,340 | +91.2% |
| 153 | Manatee County Estimated | 1,330 | +49.4% |
| 154 | Richland County Estimated | 1,326 | +29.2% |
| 155 | Ada County Estimated | 1,312 | +58.8% |
| 156 | Volusia County Estimated | 1,303 | +5.3% |
| 157 | Summit County Estimated | 1,298 | +18.1% |
| 158 | Alachua County Estimated | 1,297 | +8.7% |
| 159 | Boulder County Estimated | 1,264 | +24.3% |
| 160 | Montgomery County Estimated | 1,254 | +13.8% |
| 161 | Somerset County Estimated | 1,240 | +41.1% |
| 162 | Brevard County Estimated | 1,232 | +2.4% |
| 163 | Kern County Estimated | 1,197 | +23.3% |
| 164 | Riley County Estimated | 1,180 | +53.2% |
| 165 | Centre County Estimated | 1,156 | -9.7% |
| 165 | Pinal County Estimated | 1,156 | -17.8% |
| 167 | Anchorage Municipality Estimated | 1,135 | +84.6% |
| 168 | Dauphin County Estimated | 1,104 | -7.5% |
| 169 | Albany County Estimated | 1,103 | +0.3% |
| 170 | Jackson County Estimated | 1,087 | +77% |
| 171 | Sarasota County Estimated | 1,086 | +24.3% |
| 172 | St. Louis city Estimated | 1,085 | +59.8% |
| 173 | Lancaster County Estimated | 1,082 | -22% |
| 174 | East Baton Rouge Parish Estimated | 1,060 | +52.1% |
| 175 | Luzerne County Estimated | 1,037 | +1.5% |
| 176 | Adams County Estimated | 1,036 | +68.7% |
| 177 | Pasco County Estimated | 994 | +24.7% |
| 178 | Polk County Estimated | 975 | -28.8% |
| 179 | Orleans Parish Estimated | 972 | +41.1% |
| 179 | St. Lucie County Estimated | 972 | +18.7% |
| 181 | Cass County Estimated | 937 | +128% |
| 182 | Solano County Estimated | 931 | +5.2% |
| 183 | Butler County Estimated | 928 | +21.9% |
| 184 | Escambia County Estimated | 926 | +28.1% |
| 185 | Webb County Estimated | 916 | +19% |
| 186 | Dakota County Estimated | 915 | +13.1% |
| 187 | Rockland County Estimated | 895 | +6.7% |
| 188 | Pulaski County Estimated | 894 | +1.2% |
| 189 | Cleveland County Estimated | 893 | +33.7% |
| 190 | Bucks County Estimated | 890 | -9% |
| 190 | Monterey County Estimated | 890 | +66.7% |
| 192 | Chatham County Estimated | 888 | +54.4% |
| 193 | Atlantic County Estimated | 878 | +6.2% |
| 193 | Wyandotte County Estimated | 878 | +13.7% |
| 195 | Douglas County Estimated | 871 | +35.7% |
| 196 | Lake County Estimated | 864 | +31.1% |
| 197 | Tompkins County Estimated | 863 | -0.7% |
| 198 | Richmond County Estimated | 857 | +7.3% |
| 199 | Johnson County Estimated | 852 | -23.9% |
| 199 | Spokane County Estimated | 852 | -2.3% |
| 201 | Douglas County Estimated | 849 | +49.5% |
| 202 | Monroe County Estimated | 834 | -14.4% |
| 203 | Stearns County Estimated | 826 | +19.5% |
| 204 | Knox County Estimated | 822 | +74.2% |
| 205 | Muscogee County Estimated | 816 | +45.7% |
| 206 | Nueces County Estimated | 814 | +8.1% |
| 207 | Minnehaha County Estimated | 799 | +31.8% |
| 208 | Chesterfield County Estimated | 798 | +25.9% |
| 209 | Clayton County Estimated | 788 | +45.7% |
| 210 | Richmond city Estimated | 777 | +22.4% |
| 211 | Frederick County Estimated | 774 | +15.7% |
| 212 | Payne County Estimated | 772 | +60.2% |
| 213 | Montgomery County Estimated | 770 | +30.1% |
| 214 | McLean County Estimated | 768 | +2.5% |
| 215 | Olmsted County Estimated | 764 | +9.8% |
| 216 | Stanislaus County Estimated | 761 | +44.4% |
| 217 | Boone County Estimated | 760 | +7.3% |
| 217 | Jefferson County Estimated | 760 | +3% |
| 219 | Lackawanna County Estimated | 755 | -5.6% |
| 220 | Marin County Estimated | 751 | +25.2% |
| 221 | Jefferson County Estimated | 748 | +35.5% |
| 222 | Newport News city Estimated | 744 | +31.7% |
| 223 | Burlington County Estimated | 743 | +39.1% |
| 224 | Monmouth County Estimated | 732 | +48.2% |
| 225 | Story County Estimated | 722 | -25.3% |
| 226 | Jefferson County Estimated | 720 | +26.3% |
| 227 | Benton County Estimated | 715 | -11.6% |
| 228 | Thurston County Estimated | 714 | +1.6% |
| 229 | Utah County Estimated | 713 | -11.4% |
| 230 | Maui County Estimated | 712 | +81.6% |
| 231 | Leon County Estimated | 709 | +4% |
| 232 | Okaloosa County Estimated | 707 | +40.3% |
| 233 | Washington County Estimated | 682 | +24.7% |
| 234 | Potter County Estimated | 680 | -2.4% |
| 235 | Lucas County Estimated | 678 | +35.9% |
| 236 | Montgomery County Estimated | 677 | +2.1% |
| 237 | Bay County Estimated | 676 | +52.9% |
| 238 | Warren County Estimated | 674 | +23.9% |
| 239 | Greene County Estimated | 666 | +23.1% |
| 240 | Portage County Estimated | 663 | +15.3% |
| 241 | Galveston County Estimated | 661 | +17.4% |
| 241 | Hampshire County Estimated | 661 | -16.3% |
| 243 | Northampton County Estimated | 660 | -3.6% |
| 244 | Larimer County Estimated | 658 | +39.1% |
| 245 | Cumberland County Estimated | 656 | -3.2% |
| 246 | Monongalia County Estimated | 655 | +20% |
| 247 | Charleston County Estimated | 648 | +22% |
| 248 | Waukesha County Estimated | 641 | +9.6% |
| 249 | Oneida County Estimated | 640 | -1.8% |
| 250 | Rutherford County Estimated | 638 | +16.8% |
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 2015 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, 2015) [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, 2015. 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=2015. 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, 2015. 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=2015.
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, 2015 [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=2015 (Accessed: 12 October 2026).
BibTeX
@misc{census_us_counties_by_net_2015,
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, 2015}},
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=2015. 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, 2015
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=2015
Y2 - 2026/10/12
N1 - Accessed via Invokely, https://invokely.ai/rankings/net-international-migration-july-june/us-counties?period=2015.
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 44,052 in 2015, according to the U.S. Census Bureau.
Which county has the lowest net international migration, July to June?
Mohave County, with -80 in 2015.
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 2015 and are not ranked.