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 2016, at 50,940. Madera County had the lowest, at -55. The median was 13 and the figure for the United States was 1.07 million. Source: the U.S. Census Bureau.
Map of counties, 2016
Top 40 counties, 2016
Full ranking
| Rank | Counties | 2016 | Change on 2015 |
|---|---|---|---|
| 1 | Miami-Dade County Estimated | 50,940 | +15.6% |
| 2 | Los Angeles County Estimated | 36,989 | -11% |
| 3 | Harris County Estimated | 35,123 | -4.6% |
| 4 | Broward County Estimated | 20,596 | +21.4% |
| 5 | Santa Clara County Estimated | 20,226 | -8.2% |
| 6 | King County Estimated | 19,263 | -11.1% |
| 7 | Queens County Estimated | 18,551 | +6.6% |
| 8 | Orange County Estimated | 17,253 | +18.4% |
| 9 | Kings County Estimated | 15,518 | +2.7% |
| 10 | Dallas County Estimated | 15,389 | -1.4% |
| 11 | Maricopa County Estimated | 14,692 | +13.9% |
| 12 | Cook County Estimated | 14,309 | -18.4% |
| 13 | Bronx County Estimated | 14,235 | +7.3% |
| 14 | San Diego County Estimated | 13,468 | -19.7% |
| 15 | Middlesex County Estimated | 13,271 | +12.3% |
| 16 | Alameda County Estimated | 12,664 | -9.3% |
| 17 | New York County Estimated | 12,590 | +5.1% |
| 18 | Palm Beach County Estimated | 11,898 | +18.5% |
| 19 | Orange County Estimated | 11,759 | -7.3% |
| 20 | Hillsborough County Estimated | 11,543 | +22.1% |
| 21 | Fairfax County Estimated | 11,110 | -6.2% |
| 22 | Suffolk County Estimated | 10,711 | +6.7% |
| 23 | Philadelphia County Estimated | 10,314 | +15.3% |
| 24 | Hudson County Estimated | 8,388 | -7% |
| 25 | Montgomery County Estimated | 7,803 | -22% |
| 26 | Tarrant County Estimated | 7,770 | -9.4% |
| 27 | Franklin County Estimated | 7,657 | +2% |
| 28 | Oakland County Estimated | 7,493 | +30.4% |
| 29 | Honolulu County Estimated | 7,082 | +19% |
| 30 | DeKalb County Estimated | 7,051 | +41.6% |
| 31 | Travis County Estimated | 6,623 | -8% |
| 32 | Collin County Estimated | 6,612 | -2.3% |
| 33 | Hennepin County Estimated | 6,455 | -1.5% |
| 34 | Fulton County Estimated | 6,382 | +49.5% |
| 35 | Fort Bend County Estimated | 6,353 | -0.9% |
| 36 | San Francisco County Estimated | 6,164 | -17.1% |
| 37 | Wayne County Estimated | 6,013 | +35.4% |
| 38 | Mecklenburg County Estimated | 5,968 | +18.2% |
| 39 | Osceola County Estimated | 5,936 | +7.9% |
| 40 | Middlesex County Estimated | 5,922 | -7% |
| 41 | Gwinnett County Estimated | 5,621 | +51.5% |
| 42 | Sacramento County Estimated | 5,471 | -3.8% |
| 43 | Prince George's County Estimated | 5,456 | -14.6% |
| 44 | Bexar County Estimated | 5,154 | -15.9% |
| 45 | San Mateo County Estimated | 4,999 | -12.8% |
| 46 | Multnomah County Estimated | 4,982 | +88% |
| 47 | Essex County Estimated | 4,980 | +1.8% |
| 48 | Essex County Estimated | 4,950 | +7.1% |
| 49 | Contra Costa County Estimated | 4,854 | -5.3% |
| 50 | Salt Lake County Estimated | 4,703 | +84.3% |
| 51 | Duval County Estimated | 4,501 | +17.5% |
| 52 | Marion County Estimated | 4,463 | +71.2% |
| 53 | Wake County Estimated | 4,182 | +9% |
| 54 | Lee County Estimated | 4,136 | +20.7% |
| 55 | Washington County Estimated | 4,079 | +133.6% |
| 56 | Norfolk County Estimated | 4,055 | +18.2% |
| 57 | Westchester County Estimated | 3,980 | +12.3% |
| 58 | Worcester County Estimated | 3,898 | +4.6% |
| 59 | Cobb County Estimated | 3,878 | +48.4% |
| 59 | Cuyahoga County Estimated | 3,878 | -3.6% |
| 61 | Bergen County Estimated | 3,793 | -8.4% |
| 62 | Allegheny County Estimated | 3,765 | +12.8% |
| 63 | District of Columbia Estimated | 3,710 | -30% |
| 64 | Providence County Estimated | 3,664 | -8.2% |
| 65 | Ramsey County Estimated | 3,402 | -2.9% |
| 66 | Nassau County Estimated | 3,278 | +4.9% |
| 67 | Suffolk County Estimated | 3,233 | +12.2% |
| 68 | Collier County Estimated | 3,212 | +28.6% |
| 69 | Passaic County Estimated | 3,141 | -2.1% |
| 70 | Pima County Estimated | 3,136 | -3.4% |
| 71 | Polk County Estimated | 3,109 | +12.8% |
| 72 | Erie County Estimated | 3,099 | +4.6% |
| 73 | Union County Estimated | 3,089 | -4.3% |
| 74 | Clark County Estimated | 2,906 | -50.8% |
| 75 | Prince William County Estimated | 2,893 | -6.4% |
| 76 | Pinellas County Estimated | 2,882 | +15.5% |
| 77 | Denton County Estimated | 2,878 | -5.5% |
| 78 | Snohomish County Estimated | 2,872 | -7.9% |
| 79 | Milwaukee County Estimated | 2,804 | -4.2% |
| 80 | Montgomery County Estimated | 2,713 | +18.4% |
| 81 | Macomb County Estimated | 2,679 | +10.7% |
| 82 | Davidson County Estimated | 2,635 | -24.5% |
| 83 | Washtenaw County Estimated | 2,630 | +25.6% |
| 84 | DuPage County Estimated | 2,594 | -16.7% |
| 85 | Monroe County Estimated | 2,589 | +11.5% |
| 86 | Jefferson County Estimated | 2,565 | -4.4% |
| 86 | Riverside County Estimated | 2,565 | -13.2% |
| 88 | Douglas County Estimated | 2,517 | +55.9% |
| 89 | Baltimore County Estimated | 2,512 | -24.4% |
| 90 | Hamilton County Estimated | 2,480 | -4.4% |
| 91 | Arlington County Estimated | 2,470 | -1.4% |
| 92 | Loudoun County Estimated | 2,450 | -4.3% |
| 93 | Lehigh County Estimated | 2,432 | +20.5% |
| 94 | Hampden County Estimated | 2,406 | -3% |
| 94 | Seminole County Estimated | 2,406 | +20.4% |
| 96 | Oklahoma County Estimated | 2,391 | -21.8% |
| 97 | San Bernardino County Estimated | 2,379 | -10.4% |
| 98 | Arapahoe County Estimated | 2,342 | -24.3% |
| 99 | Mercer County Estimated | 2,211 | -1.5% |
| 100 | Kent County Estimated | 2,206 | +52.7% |
| 101 | Ingham County Estimated | 2,109 | +8.4% |
| 102 | El Paso County Estimated | 2,096 | -21.8% |
| 103 | Henrico County Estimated | 2,092 | +9.4% |
| 104 | Dane County Estimated | 2,039 | -17.1% |
| 105 | Delaware County Estimated | 2,033 | +17.2% |
| 106 | Berks County Estimated | 2,025 | +24.5% |
| 107 | San Joaquin County Estimated | 2,006 | +12.9% |
| 108 | Tulsa County Estimated | 2,001 | -12.2% |
| 109 | Alexandria city Estimated | 1,986 | -20.4% |
| 110 | Tippecanoe County Estimated | 1,975 | +42.9% |
| 111 | Hillsborough County Estimated | 1,969 | -0.5% |
| 112 | Johnson County Estimated | 1,941 | -9.2% |
| 113 | Fresno County Estimated | 1,925 | +8.3% |
| 114 | Pierce County Estimated | 1,917 | -20.3% |
| 115 | Chester County Estimated | 1,877 | +34% |
| 116 | Baltimore city Estimated | 1,864 | -18.6% |
| 117 | Denver County Estimated | 1,855 | -28.8% |
| 118 | St. Louis County Estimated | 1,850 | -31.4% |
| 119 | Plymouth County Estimated | 1,843 | +22.4% |
| 120 | Champaign County Estimated | 1,837 | -12.1% |
| 121 | Durham County Estimated | 1,825 | +13% |
| 122 | Bristol County Estimated | 1,823 | +18.9% |
| 123 | Jefferson Parish Estimated | 1,777 | +2.2% |
| 124 | Hidalgo County Estimated | 1,714 | +14.5% |
| 125 | Onondaga County Estimated | 1,645 | -0.1% |
| 126 | Volusia County Estimated | 1,613 | +23.8% |
| 127 | Guilford County Estimated | 1,564 | +15.9% |
| 128 | Minnehaha County Estimated | 1,551 | +94.1% |
| 129 | Fayette County Estimated | 1,528 | +3.4% |
| 130 | Virginia Beach city Estimated | 1,524 | -14% |
| 131 | Montgomery County Estimated | 1,516 | -10.1% |
| 132 | Lancaster County Estimated | 1,503 | +3.9% |
| 133 | Lake County Estimated | 1,498 | -29.9% |
| 134 | Brazos County Estimated | 1,467 | -10.9% |
| 135 | Alachua County Estimated | 1,454 | +12.1% |
| 136 | Lancaster County Estimated | 1,445 | +33.5% |
| 137 | Santa Barbara County Estimated | 1,428 | -6.8% |
| 138 | Greenville County Estimated | 1,392 | -1.6% |
| 139 | Maui County Estimated | 1,371 | +92.6% |
| 139 | Utah County Estimated | 1,371 | +92.3% |
| 141 | Williamson County Estimated | 1,361 | -15.5% |
| 142 | New Castle County Estimated | 1,355 | -23% |
| 143 | Montgomery County Estimated | 1,352 | +7.8% |
| 144 | Yolo County Estimated | 1,351 | -8.3% |
| 145 | Manatee County Estimated | 1,347 | +1.3% |
| 146 | Morris County Estimated | 1,343 | -11% |
| 147 | Camden County Estimated | 1,341 | -3.7% |
| 148 | Brevard County Estimated | 1,340 | +8.8% |
| 149 | Sarasota County Estimated | 1,339 | +23.3% |
| 150 | Centre County Estimated | 1,332 | +15.2% |
| 151 | Shelby County Estimated | 1,331 | -17.7% |
| 152 | Dauphin County Estimated | 1,264 | +14.5% |
| 153 | Summit County Estimated | 1,263 | -2.7% |
| 154 | Pasco County Estimated | 1,260 | +26.8% |
| 155 | Cumberland County Estimated | 1,256 | -29.8% |
| 156 | Sedgwick County Estimated | 1,247 | -18.4% |
| 157 | Ada County Estimated | 1,242 | -5.3% |
| 158 | Albany County Estimated | 1,218 | +10.4% |
| 159 | Howard County Estimated | 1,212 | -22.8% |
| 160 | Bell County Estimated | 1,202 | -37.1% |
| 161 | Anchorage Municipality Estimated | 1,198 | +5.6% |
| 162 | Monroe County Estimated | 1,183 | +41.8% |
| 163 | Bucks County Estimated | 1,168 | +31.2% |
| 164 | Somerset County Estimated | 1,165 | -6% |
| 165 | Kern County Estimated | 1,162 | -2.9% |
| 166 | Forsyth County Estimated | 1,137 | +82.2% |
| 167 | Luzerne County Estimated | 1,136 | +9.5% |
| 168 | Webb County Estimated | 1,134 | +23.8% |
| 169 | El Paso County Estimated | 1,132 | -48.2% |
| 170 | East Baton Rouge Parish Estimated | 1,130 | +6.6% |
| 171 | Norfolk city Estimated | 1,114 | -25.4% |
| 172 | Lake County Estimated | 1,087 | +25.8% |
| 173 | St. Lucie County Estimated | 1,086 | +11.7% |
| 173 | Ventura County Estimated | 1,086 | -21.5% |
| 175 | Lane County Estimated | 1,065 | +118.7% |
| 176 | Polk County Estimated | 1,064 | +9.1% |
| 177 | Cumberland County Estimated | 1,055 | +160.5% |
| 178 | Bernalillo County Estimated | 1,053 | -21.4% |
| 178 | Boulder County Estimated | 1,053 | -16.7% |
| 180 | Richmond County Estimated | 1,020 | +19% |
| 181 | Chatham County Estimated | 1,018 | +14.6% |
| 182 | Monterey County Estimated | 980 | +10.1% |
| 183 | Clayton County Estimated | 967 | +22.7% |
| 184 | Johnson County Estimated | 966 | +13.4% |
| 185 | Benton County Estimated | 958 | +92.4% |
| 186 | Yuma County Estimated | 932 | -38.6% |
| 187 | Hawaii County Estimated | 911 | +84% |
| 188 | Dakota County Estimated | 908 | -0.8% |
| 189 | Richland County Estimated | 905 | -31.7% |
| 190 | Richmond city Estimated | 902 | +16.1% |
| 191 | Erie County Estimated | 898 | +79.6% |
| 192 | Stearns County Estimated | 896 | +8.5% |
| 193 | Pinal County Estimated | 883 | -23.6% |
| 194 | Anne Arundel County Estimated | 874 | -42.3% |
| 194 | Benton County Estimated | 874 | +22.2% |
| 196 | Washington County Estimated | 868 | +27.3% |
| 197 | Lackawanna County Estimated | 867 | +14.8% |
| 198 | Stanislaus County Estimated | 854 | +12.2% |
| 199 | Wyandotte County Estimated | 851 | -3.1% |
| 200 | Riley County Estimated | 848 | -28.1% |
| 201 | Rockland County Estimated | 845 | -5.6% |
| 202 | Jefferson County Estimated | 844 | +17.2% |
| 203 | Hamilton County Estimated | 842 | +59.2% |
| 203 | Northampton County Estimated | 842 | +27.6% |
| 203 | York County Estimated | 842 | +35.8% |
| 206 | Solano County Estimated | 818 | -12.1% |
| 207 | Tompkins County Estimated | 813 | -5.8% |
| 208 | Escambia County Estimated | 794 | -14.3% |
| 209 | Butler County Estimated | 793 | -14.5% |
| 210 | Orleans Parish Estimated | 792 | -18.5% |
| 211 | Warren County Estimated | 780 | +15.7% |
| 212 | Hampshire County Estimated | 779 | +17.9% |
| 213 | Leon County Estimated | 775 | +9.3% |
| 214 | Olmsted County Estimated | 774 | +1.3% |
| 215 | Adams County Estimated | 770 | -25.7% |
| 216 | Kalamazoo County Estimated | 758 | +71.5% |
| 216 | Marion County Estimated | 758 | +48.9% |
| 218 | Douglas County Estimated | 751 | -13.8% |
| 219 | Cumberland County Estimated | 748 | +14% |
| 220 | Story County Estimated | 744 | +3% |
| 221 | Marin County Estimated | 741 | -1.3% |
| 222 | Pulaski County Estimated | 740 | -17.2% |
| 223 | Atlantic County Estimated | 733 | -16.5% |
| 224 | Clackamas County Estimated | 723 | +423.9% |
| 225 | Nueces County Estimated | 710 | -12.8% |
| 226 | Onslow County Estimated | 708 | -55.1% |
| 227 | Douglas County Estimated | 705 | -17% |
| 227 | Sonoma County Estimated | 705 | +12.4% |
| 229 | Imperial County Estimated | 700 | +35.7% |
| 230 | St. Joseph County Estimated | 696 | +62.6% |
| 231 | St. Louis city Estimated | 694 | -36% |
| 232 | Bartholomew County Estimated | 677 | +61.6% |
| 232 | Knox County Estimated | 677 | -17.6% |
| 234 | Lucas County Estimated | 676 | -0.3% |
| 235 | Chesterfield County Estimated | 670 | -16% |
| 236 | Newport News city Estimated | 659 | -11.4% |
| 237 | Warren County Estimated | 648 | +20.2% |
| 238 | Madison County Estimated | 647 | +12.1% |
| 239 | Allen County Estimated | 643 | +48.2% |
| 240 | Jefferson County Estimated | 638 | -16.1% |
| 241 | Frederick County Estimated | 635 | -18% |
| 242 | Montgomery County Estimated | 634 | +28.3% |
| 243 | Hendry County Estimated | 629 | +51.6% |
| 244 | Anoka County Estimated | 628 | +20.5% |
| 245 | Jackson County Estimated | 626 | -42.4% |
| 245 | Monmouth County Estimated | 626 | -14.5% |
| 247 | Bay County Estimated | 616 | -8.9% |
| 247 | Montgomery County Estimated | 616 | -9% |
| 249 | Galveston County Estimated | 609 | -7.9% |
| 249 | McLean County Estimated | 609 | -20.7% |
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.
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 2016 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, 2016) [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, 2016. 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=2016. 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, 2016. 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=2016.
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, 2016 [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=2016 (Accessed: 12 October 2026).
BibTeX
@misc{census_us_counties_by_net_2016,
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, 2016}},
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=2016. 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, 2016
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=2016
Y2 - 2026/10/12
N1 - Accessed via Invokely, https://invokely.ai/rankings/net-international-migration-july-june/us-counties?period=2016.
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 50,940 in 2016, according to the U.S. Census Bureau.
Which county has the lowest net international migration, July to June?
Madera County, with -55 in 2016.
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 2016 and are not ranked.