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 2017, at 53,735. Madera County had the lowest, at -149. The median was 11 and the figure for the United States was 948,392. Source: the U.S. Census Bureau.
Top 40 counties, 2017
Full ranking
| Rank | Counties | 2017 | Change on 2016 |
|---|---|---|---|
| 1 | Miami-Dade County Estimated | 53,735 | +5.5% |
| 2 | Harris County Estimated | 33,789 | -3.8% |
| 3 | Los Angeles County Estimated | 30,417 | -17.8% |
| 4 | King County Estimated | 21,670 | +12.5% |
| 5 | Broward County Estimated | 20,955 | +1.7% |
| 6 | Orange County Estimated | 18,208 | +5.5% |
| 7 | Santa Clara County Estimated | 17,978 | -11.1% |
| 8 | Cook County Estimated | 17,706 | +23.7% |
| 9 | Middlesex County Estimated | 14,052 | +5.9% |
| 10 | Dallas County Estimated | 13,709 | -10.9% |
| 11 | Queens County Estimated | 13,651 | -26.4% |
| 12 | Bronx County Estimated | 12,100 | -15% |
| 13 | Palm Beach County Estimated | 12,004 | +0.9% |
| 14 | Hillsborough County Estimated | 11,801 | +2.2% |
| 15 | Suffolk County Estimated | 11,678 | +9% |
| 16 | Kings County Estimated | 11,676 | -24.8% |
| 17 | Alameda County Estimated | 11,302 | -10.8% |
| 18 | Fairfax County Estimated | 10,401 | -6.4% |
| 19 | New York County Estimated | 9,924 | -21.2% |
| 20 | Hudson County Estimated | 9,783 | +16.6% |
| 21 | Maricopa County Estimated | 9,690 | -34% |
| 22 | Orange County Estimated | 9,531 | -18.9% |
| 23 | San Diego County Estimated | 9,188 | -31.8% |
| 24 | Philadelphia County Estimated | 9,085 | -11.9% |
| 25 | Montgomery County Estimated | 8,384 | +7.4% |
| 26 | Tarrant County Estimated | 7,053 | -9.2% |
| 27 | Middlesex County Estimated | 6,668 | +12.6% |
| 28 | Mecklenburg County Estimated | 6,580 | +10.3% |
| 29 | Osceola County Estimated | 6,453 | +8.7% |
| 30 | Collin County Estimated | 6,317 | -4.5% |
| 31 | Fort Bend County Estimated | 6,309 | -0.7% |
| 32 | Essex County Estimated | 6,133 | +23.2% |
| 33 | Franklin County Estimated | 6,073 | -20.7% |
| 34 | Travis County Estimated | 6,016 | -9.2% |
| 35 | Prince George's County Estimated | 5,995 | +9.9% |
| 36 | Salt Lake County Estimated | 5,641 | +19.9% |
| 37 | Oakland County Estimated | 5,604 | -25.2% |
| 38 | Essex County Estimated | 5,598 | +13.1% |
| 39 | San Francisco County Estimated | 5,572 | -9.6% |
| 40 | Sacramento County Estimated | 4,850 | -11.4% |
| 41 | DeKalb County Estimated | 4,723 | -33% |
| 42 | Wayne County Estimated | 4,603 | -23.4% |
| 43 | Wake County Estimated | 4,544 | +8.7% |
| 44 | Bergen County Estimated | 4,503 | +18.7% |
| 45 | San Mateo County Estimated | 4,459 | -10.8% |
| 46 | Worcester County Estimated | 4,414 | +13.2% |
| 47 | Hennepin County Estimated | 4,382 | -32.1% |
| 48 | Contra Costa County Estimated | 4,312 | -11.2% |
| 49 | Norfolk County Estimated | 4,292 | +5.8% |
| 50 | Duval County Estimated | 4,270 | -5.1% |
| 51 | Lee County Estimated | 4,196 | +1.5% |
| 52 | Bexar County Estimated | 4,152 | -19.4% |
| 53 | Fulton County Estimated | 4,008 | -37.2% |
| 54 | District of Columbia Estimated | 3,855 | +3.9% |
| 55 | Gwinnett County Estimated | 3,701 | -34.2% |
| 56 | Union County Estimated | 3,688 | +19.4% |
| 57 | Passaic County Estimated | 3,609 | +14.9% |
| 58 | Honolulu County Estimated | 3,466 | -51.1% |
| 59 | Marion County Estimated | 3,275 | -26.6% |
| 60 | Polk County Estimated | 3,259 | +4.8% |
| 61 | DuPage County Estimated | 3,213 | +23.9% |
| 62 | Collier County Estimated | 3,200 | -0.4% |
| 63 | Snohomish County Estimated | 3,192 | +11.1% |
| 64 | Cuyahoga County Estimated | 3,091 | -20.3% |
| 65 | Clark County Estimated | 3,034 | +4.4% |
| 66 | Davidson County Estimated | 3,022 | +14.7% |
| 67 | Westchester County Estimated | 2,960 | -25.6% |
| 68 | Milwaukee County Estimated | 2,932 | +4.6% |
| 69 | Multnomah County Estimated | 2,931 | -41.2% |
| 70 | Allegheny County Estimated | 2,876 | -23.6% |
| 71 | Pinellas County Estimated | 2,818 | -2.2% |
| 72 | Prince William County Estimated | 2,766 | -4.4% |
| 73 | Baltimore County Estimated | 2,733 | +8.8% |
| 74 | St. Louis County Estimated | 2,659 | +43.7% |
| 75 | Denton County Estimated | 2,655 | -7.7% |
| 76 | Suffolk County Estimated | 2,645 | -18.2% |
| 77 | Washington County Estimated | 2,624 | -35.7% |
| 78 | Mercer County Estimated | 2,574 | +16.4% |
| 79 | Erie County Estimated | 2,559 | -17.4% |
| 80 | Hampden County Estimated | 2,541 | +5.6% |
| 81 | Nassau County Estimated | 2,506 | -23.6% |
| 82 | Seminole County Estimated | 2,482 | +3.2% |
| 83 | Cobb County Estimated | 2,430 | -37.3% |
| 84 | Monroe County Estimated | 2,396 | -7.5% |
| 85 | Jefferson County Estimated | 2,392 | -6.7% |
| 86 | Lehigh County Estimated | 2,319 | -4.6% |
| 87 | Loudoun County Estimated | 2,298 | -6.2% |
| 88 | Arlington County Estimated | 2,296 | -7% |
| 89 | Pima County Estimated | 2,205 | -29.7% |
| 90 | Ramsey County Estimated | 2,175 | -36.1% |
| 91 | Champaign County Estimated | 2,155 | +17.3% |
| 92 | Washtenaw County Estimated | 2,113 | -19.7% |
| 93 | Dane County Estimated | 2,085 | +2.3% |
| 94 | Providence County Estimated | 2,078 | -43.3% |
| 95 | Macomb County Estimated | 2,048 | -23.6% |
| 96 | Arapahoe County Estimated | 2,005 | -14.4% |
| 97 | Bristol County Estimated | 2,003 | +9.9% |
| 98 | Plymouth County Estimated | 1,995 | +8.2% |
| 99 | Montgomery County Estimated | 1,989 | -26.7% |
| 100 | Henrico County Estimated | 1,984 | -5.2% |
| 101 | Durham County Estimated | 1,971 | +8% |
| 102 | Hamilton County Estimated | 1,969 | -20.6% |
| 103 | Baltimore city Estimated | 1,964 | +5.4% |
| 104 | Douglas County Estimated | 1,961 | -22.1% |
| 105 | Alexandria city Estimated | 1,846 | -7% |
| 106 | Ingham County Estimated | 1,751 | -17% |
| 107 | Berks County Estimated | 1,748 | -13.7% |
| 108 | Pierce County Estimated | 1,710 | -10.8% |
| 109 | Volusia County Estimated | 1,702 | +5.5% |
| 110 | Guilford County Estimated | 1,687 | +7.9% |
| 111 | Delaware County Estimated | 1,663 | -18.2% |
| 111 | Utah County Estimated | 1,663 | +21.3% |
| 113 | Lake County Estimated | 1,659 | +10.7% |
| 114 | Kent County Estimated | 1,653 | -25.1% |
| 115 | Denver County Estimated | 1,652 | -10.9% |
| 116 | Greenville County Estimated | 1,639 | +17.7% |
| 117 | Camden County Estimated | 1,564 | +16.6% |
| 118 | Shelby County Estimated | 1,552 | +16.6% |
| 119 | Morris County Estimated | 1,546 | +15.1% |
| 120 | Minnehaha County Estimated | 1,514 | -2.4% |
| 121 | Hillsborough County Estimated | 1,470 | -25.3% |
| 121 | San Joaquin County Estimated | 1,470 | -26.7% |
| 123 | Montgomery County Estimated | 1,404 | -7.4% |
| 124 | Alachua County Estimated | 1,393 | -4.2% |
| 125 | Brazos County Estimated | 1,385 | -5.6% |
| 126 | Anchorage Municipality Estimated | 1,350 | +12.7% |
| 127 | Somerset County Estimated | 1,347 | +15.6% |
| 128 | Oklahoma County Estimated | 1,333 | -44.2% |
| 129 | Onondaga County Estimated | 1,331 | -19.1% |
| 130 | Williamson County Estimated | 1,330 | -2.3% |
| 131 | Sarasota County Estimated | 1,321 | -1.3% |
| 132 | Chittenden County Estimated | 1,306 | +158.6% |
| 133 | Brevard County Estimated | 1,300 | -3% |
| 134 | Lancaster County Estimated | 1,294 | -13.9% |
| 135 | Fayette County Estimated | 1,292 | -15.4% |
| 136 | Howard County Estimated | 1,284 | +5.9% |
| 137 | Tippecanoe County Estimated | 1,274 | -35.5% |
| 138 | Manatee County Estimated | 1,266 | -6% |
| 139 | Jefferson Parish Estimated | 1,265 | -28.8% |
| 140 | Riverside County Estimated | 1,261 | -50.8% |
| 141 | New Castle County Estimated | 1,259 | -7.1% |
| 142 | Pasco County Estimated | 1,257 | -0.2% |
| 143 | Fresno County Estimated | 1,237 | -35.7% |
| 144 | Cass County Estimated | 1,221 | +105.2% |
| 145 | San Bernardino County Estimated | 1,215 | -48.9% |
| 146 | Polk County Estimated | 1,214 | +14.1% |
| 147 | Yolo County Estimated | 1,198 | -11.3% |
| 148 | Tulsa County Estimated | 1,181 | -41% |
| 149 | Jackson County Estimated | 1,165 | +86.1% |
| 150 | Johnson County Estimated | 1,161 | +20.2% |
| 151 | Virginia Beach city Estimated | 1,157 | -24.1% |
| 152 | Luzerne County Estimated | 1,119 | -1.5% |
| 153 | Dauphin County Estimated | 1,112 | -12% |
| 154 | Montgomery County Estimated | 1,105 | -18.3% |
| 155 | Lake County Estimated | 1,101 | +1.3% |
| 156 | Chester County Estimated | 1,080 | -42.5% |
| 157 | Summit County Estimated | 1,042 | -17.5% |
| 158 | St. Lucie County Estimated | 1,040 | -4.2% |
| 159 | Centre County Estimated | 1,035 | -22.3% |
| 160 | Richland County Estimated | 1,032 | +14% |
| 161 | Lancaster County Estimated | 1,012 | -30% |
| 162 | St. Louis city Estimated | 956 | +37.8% |
| 163 | Richmond city Estimated | 943 | +4.5% |
| 164 | Albany County Estimated | 915 | -24.9% |
| 165 | Santa Barbara County Estimated | 897 | -37.2% |
| 166 | Cumberland County Estimated | 882 | -29.8% |
| 167 | Adams County Estimated | 868 | +12.7% |
| 168 | Boulder County Estimated | 845 | -19.8% |
| 169 | Atlantic County Estimated | 818 | +11.6% |
| 170 | Hampshire County Estimated | 817 | +4.9% |
| 171 | Lackawanna County Estimated | 808 | -6.8% |
| 172 | Bell County Estimated | 802 | -33.3% |
| 173 | Bernalillo County Estimated | 785 | -25.5% |
| 174 | Knox County Estimated | 768 | +13.4% |
| 175 | Bucks County Estimated | 767 | -34.3% |
| 175 | Norfolk city Estimated | 767 | -31.1% |
| 177 | Boone County Estimated | 765 | +39.3% |
| 178 | Monroe County Estimated | 762 | -35.6% |
| 178 | Story County Estimated | 762 | +2.4% |
| 180 | Marion County Estimated | 761 | +0.4% |
| 181 | Leon County Estimated | 756 | -2.5% |
| 182 | Northampton County Estimated | 750 | -10.9% |
| 183 | Anne Arundel County Estimated | 737 | -15.7% |
| 184 | Erie County Estimated | 736 | -18% |
| 185 | McLean County Estimated | 720 | +18.2% |
| 186 | York County Estimated | 712 | -15.4% |
| 187 | Rockland County Estimated | 699 | -17.3% |
| 187 | Stearns County Estimated | 699 | -22% |
| 189 | Frederick County Estimated | 694 | +9.3% |
| 190 | Marin County Estimated | 692 | -6.6% |
| 191 | East Baton Rouge Parish Estimated | 691 | -38.8% |
| 192 | Monmouth County Estimated | 690 | +10.2% |
| 193 | Richmond County Estimated | 679 | -33.4% |
| 194 | Adams County Estimated | 667 | +409.2% |
| 194 | Chesterfield County Estimated | 667 | -0.4% |
| 196 | Butler County Estimated | 665 | -16.1% |
| 197 | Forsyth County Estimated | 651 | -42.7% |
| 198 | Orange County Estimated | 642 | +9.6% |
| 199 | Chatham County Estimated | 640 | -37.1% |
| 200 | Dakota County Estimated | 635 | -30.1% |
| 201 | Johnson County Estimated | 630 | -67.5% |
| 202 | Cumberland County Estimated | 627 | -16.2% |
| 203 | Tompkins County Estimated | 616 | -24.2% |
| 204 | Washington County Estimated | 612 | -29.5% |
| 205 | Brazoria County Estimated | 607 | -0.2% |
| 206 | Benton County Estimated | 606 | -30.7% |
| 206 | Jefferson County Estimated | 606 | -0.2% |
| 208 | Ada County Estimated | 603 | -51.4% |
| 209 | Forsyth County Estimated | 599 | +5.8% |
| 210 | Burlington County Estimated | 594 | +7.8% |
| 211 | Warren County Estimated | 593 | -24% |
| 212 | Solano County Estimated | 592 | -27.6% |
| 213 | Maui County Estimated | 591 | -56.9% |
| 214 | Newport News city Estimated | 588 | -10.8% |
| 215 | Yuma County Estimated | 581 | -37.7% |
| 216 | Escambia County Estimated | 579 | -27.1% |
| 217 | Lebanon County Estimated | 572 | -4.2% |
| 218 | Clayton County Estimated | 571 | -41% |
| 219 | Lane County Estimated | 570 | -46.5% |
| 220 | Nueces County Estimated | 565 | -20.4% |
| 221 | Jefferson County Estimated | 562 | -11.9% |
| 222 | Williamson County Estimated | 561 | +11.1% |
| 223 | El Paso County Estimated | 560 | -73.3% |
| 224 | Douglas County Estimated | 558 | -20.9% |
| 224 | Pinal County Estimated | 558 | -36.8% |
| 224 | Webb County Estimated | 558 | -50.8% |
| 227 | Benton County Estimated | 557 | -41.9% |
| 228 | Harrisonburg city Estimated | 554 | -1.1% |
| 229 | Waukesha County Estimated | 552 | +6.8% |
| 230 | Montgomery County Estimated | 551 | -10.6% |
| 231 | El Paso County Estimated | 548 | -51.6% |
| 232 | Warren County Estimated | 547 | -15.6% |
| 233 | St. Charles County Estimated | 546 | +30.6% |
| 234 | Barnstable County Estimated | 541 | +9.1% |
| 234 | Kalamazoo County Estimated | 541 | -28.6% |
| 236 | Rutherford County Estimated | 530 | +27.1% |
| 237 | Bay County Estimated | 523 | -15.1% |
| 238 | Hamilton County Estimated | 522 | -38% |
| 239 | Charleston County Estimated | 521 | +6.8% |
| 239 | Clark County Estimated | 521 | +4.4% |
| 241 | Lucas County Estimated | 520 | -23.1% |
| 242 | Stanislaus County Estimated | 518 | -39.3% |
| 243 | Hawaii County Estimated | 512 | -43.8% |
| 243 | Oneida County Estimated | 512 | -15% |
| 245 | Galveston County Estimated | 506 | -16.9% |
| 246 | Whitman County Estimated | 504 | +12% |
| 247 | Marion County Estimated | 503 | -0.8% |
| 248 | Olmsted County Estimated | 500 | -35.4% |
| 249 | Highlands County Estimated | 488 | -0.6% |
| 250 | Hendry County Estimated | 485 | -22.9% |
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 2017 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, 2017) [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, 2017. 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=2017. 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, 2017. 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=2017.
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, 2017 [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=2017 (Accessed: 12 October 2026).
BibTeX
@misc{census_us_counties_by_net_2017,
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, 2017}},
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=2017. 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, 2017
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=2017
Y2 - 2026/10/12
N1 - Accessed via Invokely, https://invokely.ai/rankings/net-international-migration-july-june/us-counties?period=2017.
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 53,735 in 2017, according to the U.S. Census Bureau.
Which county has the lowest net international migration, July to June?
Madera County, with -149 in 2017.
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 2017 and are not ranked.