US counties by net international migration rate, July to June
Stewart County had the highest net international migration rate, July to June of 3135 counties in 2019, at 27.21 per 1,000 inhabitants. Colusa County had the lowest, at -2.29 per 1,000 inhabitants. The median was 0.29 per 1,000 inhabitants and the figure for the United States was 1.74 per 1,000 inhabitants. Source: the U.S. Census Bureau.
Top 40 counties, 2019
Full ranking
| Rank | Counties | 2019 | Change on 2018 |
|---|---|---|---|
| 1 | Stewart County Estimated | 27.21 | -0.06 pts |
| 2 | Aleutians East Borough Estimated | 19.86 | +4.94 pts |
| 3 | Aleutians West Census Area Estimated | 14.06 | +3.22 pts |
| 4 | Miami-Dade County Estimated | 13.56 | -1.33 pts |
| 5 | Hudspeth County Estimated | 12.43 | -0.56 pts |
| 6 | Concho County Estimated | 11.79 | +1.75 pts |
| 7 | Frio County Estimated | 11.26 | +0.59 pts |
| 8 | Jefferson County Estimated | 11.13 | +5.39 pts |
| 9 | Reagan County Estimated | 10.57 | +0.08 pts |
| 10 | Suffolk County Estimated | 9.85 | -1 pts |
| 11 | Colfax County Estimated | 9.72 | +0.1 pts |
| 12 | Fairfax city Estimated | 9.67 | +3 pts |
| 13 | Beadle County Estimated | 9.66 | +5.41 pts |
| 14 | Crawford County Estimated | 9.59 | +6.66 pts |
| 15 | Alexandria city Estimated | 9.32 | +2.56 pts |
| 16 | Phillips County Estimated | 8.96 | -5.32 pts |
| 17 | Brookings County Estimated | 8.74 | +5.6 pts |
| 18 | Hudson County Estimated | 8.71 | +0.15 pts |
| 19 | Denali Borough Estimated | 8.63 | +4.29 pts |
| 20 | Piscataquis County Estimated | 8.1 | +7.5 pts |
| 21 | Hendry County Estimated | 7.96 | -1.19 pts |
| 22 | Kodiak Island Borough Estimated | 7.9 | +3.89 pts |
| 23 | Glasscock County Estimated | 7.78 | -0.18 pts |
| 24 | Dallam County Estimated | 7.72 | +1.79 pts |
| 25 | Harrisonburg city Estimated | 7.66 | +0.96 pts |
| 26 | Arlington County Estimated | 7.62 | +2.37 pts |
| 27 | Tippecanoe County Estimated | 7.46 | -2.79 pts |
| 28 | Story County Estimated | 7.41 | +4.04 pts |
| 29 | Karnes County Estimated | 7.27 | +0.5 pts |
| 30 | Johnson County Estimated | 7.27 | +3.48 pts |
| 31 | Whitman County Estimated | 7.24 | -1.15 pts |
| 32 | Blaine County Estimated | 7.21 | +1.85 pts |
| 33 | Fairfax County Estimated | 7.15 | +2.52 pts |
| 34 | King County Estimated | 6.89 | -1.08 pts |
| 35 | Broward County Estimated | 6.76 | -1.41 pts |
| 36 | Garza County Estimated | 6.74 | +1.39 pts |
| 37 | Manassas Park city Estimated | 6.54 | +2.34 pts |
| 38 | Bartholomew County Estimated | 6.45 | -2.38 pts |
| 39 | Champaign County Estimated | 6.19 | -1.81 pts |
| 40 | Buena Vista County Estimated | 5.87 | +4.02 pts |
| 41 | Middlesex County Estimated | 5.84 | -0.22 pts |
| 42 | Haskell County Estimated | 5.81 | +0.37 pts |
| 43 | Yoakum County Estimated | 5.81 | +1.47 pts |
| 44 | Montgomery County Estimated | 5.81 | +0.16 pts |
| 45 | Charlottesville city Estimated | 5.77 | +2.03 pts |
| 46 | Bronx County Estimated | 5.75 | -2.23 pts |
| 47 | Fort Bend County Estimated | 5.7 | -0.2 pts |
| 48 | Cochran County Estimated | 5.67 | +1.08 pts |
| 49 | Monroe County Estimated | 5.63 | -2.53 pts |
| 50 | Clarke County Estimated | 5.62 | +3.29 pts |
| 51 | Orange County Estimated | 5.53 | -7.7 pts |
| 52 | Brooks County Estimated | 5.5 | +1 pts |
| 53 | Hamilton County Estimated | 5.49 | +0.87 pts |
| 54 | Collier County Estimated | 5.34 | -0.67 pts |
| 55 | Harris County Estimated | 5.32 | -0.16 pts |
| 56 | Minnehaha County Estimated | 5.29 | +3.61 pts |
| 57 | Wapello County Estimated | 5.27 | +2.5 pts |
| 58 | DeKalb County Estimated | 5.25 | +0.01 pts |
| 59 | Otero County Estimated | 5.13 | +2.33 pts |
| 60 | Durham County Estimated | 5.1 | +0.2 pts |
| 61 | Harper County Estimated | 5.1 | -1 pts |
| 62 | Prince George's County Estimated | 5.07 | +0.14 pts |
| 63 | Palm Beach County Estimated | 5.06 | -1.01 pts |
| 64 | Ness County Estimated | 5.01 | +0.78 pts |
| 65 | Louisa County Estimated | 4.96 | +2.99 pts |
| 66 | Kinney County Estimated | 4.89 | +1.11 pts |
| 67 | Union County Estimated | 4.87 | +4.16 pts |
| 68 | Mecklenburg County Estimated | 4.87 | +0.3 pts |
| 69 | Henrico County Estimated | 4.79 | +1.53 pts |
| 70 | Manassas city Estimated | 4.79 | +1.31 pts |
| 71 | Adair County Estimated | 4.77 | +0.31 pts |
| 72 | Todd County Estimated | 4.75 | +3.97 pts |
| 73 | Texas County Estimated | 4.75 | -1.77 pts |
| 74 | Essex County Estimated | 4.72 | -0.48 pts |
| 75 | Prince William County Estimated | 4.65 | +1.48 pts |
| 76 | Essex County Estimated | 4.65 | -1.16 pts |
| 77 | Fredericksburg city Estimated | 4.64 | -0.11 pts |
| 78 | Monongalia County Estimated | 4.63 | +4.3 pts |
| 79 | Santa Clara County Estimated | 4.52 | -2.34 pts |
| 80 | Marshall County Estimated | 4.51 | +3.51 pts |
| 81 | Brazos County Estimated | 4.49 | +0.05 pts |
| 82 | Stanton County Estimated | 4.49 | -0.41 pts |
| 83 | Montgomery County Estimated | 4.43 | +1.73 pts |
| 84 | Hansford County Estimated | 4.43 | +1.13 pts |
| 85 | Winchester city Estimated | 4.36 | +0.62 pts |
| 86 | Phelps County Estimated | 4.35 | +0.4 pts |
| 87 | Kandiyohi County Estimated | 4.35 | +0.03 pts |
| 88 | Adams County Estimated | 4.34 | +4.29 pts |
| 89 | Jefferson Parish Estimated | 4.31 | +1.15 pts |
| 90 | Collin County Estimated | 4.31 | -0.23 pts |
| 91 | Dawson County Estimated | 4.27 | -1.39 pts |
| 92 | Middlesex County Estimated | 4.26 | +0.02 pts |
| 93 | Gaines County Estimated | 4.25 | +0.72 pts |
| 94 | Grant County Estimated | 4.24 | +3.71 pts |
| 95 | Loudoun County Estimated | 4.23 | +1.28 pts |
| 96 | Lyon County Estimated | 4.14 | -0.12 pts |
| 97 | Nobles County Estimated | 4.1 | -0.46 pts |
| 98 | Norfolk County Estimated | 4.07 | +0.13 pts |
| 99 | Marion County Estimated | 4.05 | -1.38 pts |
| 100 | Franklin County Estimated | 4.04 | +0.88 pts |
| 101 | Stearns County Estimated | 4.01 | -0.17 pts |
| 102 | Centre County Estimated | 3.99 | -1.41 pts |
| 103 | Tompkins County Estimated | 3.97 | -0.5 pts |
| 104 | Ford County Estimated | 3.97 | -0.34 pts |
| 105 | Passaic County Estimated | 3.97 | -0.99 pts |
| 106 | Lawrence County Estimated | 3.95 | +3.05 pts |
| 107 | Hillsborough County Estimated | 3.94 | -3.15 pts |
| 108 | Union County Estimated | 3.93 | -0.43 pts |
| 109 | Santa Cruz County Estimated | 3.91 | +2.38 pts |
| 110 | District of Columbia Estimated | 3.9 | -0.46 pts |
| 111 | Jerome County Estimated | 3.87 | -1.18 pts |
| 112 | Lynchburg city Estimated | 3.87 | +1.13 pts |
| 113 | New York County Estimated | 3.87 | -0.98 pts |
| 114 | Charlton County Estimated | 3.83 | -1.25 pts |
| 115 | Mercer County Estimated | 3.82 | -0.69 pts |
| 116 | Roanoke city Estimated | 3.8 | +1.27 pts |
| 117 | Queens County Estimated | 3.8 | -0.78 pts |
| 118 | La Paz County Estimated | 3.78 | +1.01 pts |
| 119 | Dallas County Estimated | 3.76 | -0.03 pts |
| 120 | Nantucket County Estimated | 3.74 | +0.33 pts |
| 121 | Hoonah-Angoon Census Area Estimated | 3.74 | +1.4 pts |
| 122 | Columbia County Estimated | 3.71 | -0.75 pts |
| 123 | Towner County Estimated | 3.68 | -8.06 pts |
| 124 | Saline County Estimated | 3.65 | +0.09 pts |
| 125 | Atkinson County Estimated | 3.61 | -0.36 pts |
| 126 | Greenville County Estimated | 3.58 | -0.07 pts |
| 127 | Brown County Estimated | 3.56 | +1.75 pts |
| 128 | Payne County Estimated | 3.56 | -1.27 pts |
| 129 | Lincoln County Estimated | 3.56 | +0.94 pts |
| 130 | Los Alamos County Estimated | 3.54 | +0.74 pts |
| 131 | Esmeralda County Estimated | 3.54 | +1.16 pts |
| 132 | Hall County Estimated | 3.48 | -1.68 pts |
| 133 | Orange County Estimated | 3.48 | +0.47 pts |
| 134 | Riley County Estimated | 3.46 | -0.33 pts |
| 135 | Waynesboro city Estimated | 3.44 | +1.28 pts |
| 136 | Travis County Estimated | 3.44 | -0.09 pts |
| 137 | Winkler County Estimated | 3.44 | +1.22 pts |
| 138 | Reeves County Estimated | 3.44 | +0.5 pts |
| 139 | Yakutat City and Borough Estimated | 3.4 | +0.1 pts |
| 140 | Pitkin County Estimated | 3.39 | -2.87 pts |
| 141 | Monroe County Estimated | 3.39 | -0.09 pts |
| 142 | Yuma County Estimated | 3.38 | +1.89 pts |
| 143 | Hampshire County Estimated | 3.38 | -0.24 pts |
| 144 | Hillsborough County Estimated | 3.37 | -0 pts |
| 145 | Seward County Estimated | 3.37 | -0.66 pts |
| 146 | Pacific County Estimated | 3.37 | +2.09 pts |
| 147 | Morgan County Estimated | 3.36 | -2.98 pts |
| 148 | Petersburg Borough Estimated | 3.36 | +0.61 pts |
| 149 | Boone County Estimated | 3.33 | +0.06 pts |
| 150 | Alameda County Estimated | 3.33 | -1.7 pts |
| 151 | Wake County Estimated | 3.31 | +0.11 pts |
| 152 | Staunton city Estimated | 3.31 | +0.66 pts |
| 153 | Yuma County Estimated | 3.3 | -2.82 pts |
| 154 | Stevens County Estimated | 3.3 | +1.31 pts |
| 155 | Ramsey County Estimated | 3.27 | -0.11 pts |
| 156 | Williamsburg city Estimated | 3.26 | +1.2 pts |
| 157 | Osceola County Estimated | 3.24 | -19.18 pts |
| 158 | Okanogan County Estimated | 3.24 | +2.55 pts |
| 159 | Cumberland County Estimated | 3.21 | +1.31 pts |
| 160 | La Salle County Estimated | 3.19 | +0.26 pts |
| 161 | Sutton County Estimated | 3.19 | +0.01 pts |
| 162 | Wrangell City and Borough Estimated | 3.18 | +0.4 pts |
| 163 | Roosevelt County Estimated | 3.17 | +1.89 pts |
| 164 | Telfair County Estimated | 3.15 | +0.07 pts |
| 165 | Nelson County Estimated | 3.14 | -4.12 pts |
| 166 | Richmond city Estimated | 3.13 | +0.72 pts |
| 167 | Colorado County Estimated | 3.13 | +0.03 pts |
| 168 | Mower County Estimated | 3.12 | -0.31 pts |
| 169 | Madison County Estimated | 3.12 | +1.69 pts |
| 170 | Cass County Estimated | 3.1 | -3.33 pts |
| 171 | Taylor County Estimated | 3.07 | +1.61 pts |
| 172 | Schuyler County Estimated | 3.06 | -0.54 pts |
| 173 | San Francisco County Estimated | 3.05 | -1.68 pts |
| 174 | Lee County Estimated | 3.04 | -1.36 pts |
| 175 | DeSoto County Estimated | 3.04 | -0.35 pts |
| 176 | Albemarle County Estimated | 3.02 | +1.39 pts |
| 177 | Fulton County Estimated | 2.98 | -0.07 pts |
| 178 | Grafton County Estimated | 2.96 | +0.3 pts |
| 179 | Athens County Estimated | 2.96 | +0.46 pts |
| 180 | Cook County Estimated | 2.96 | -0 pts |
| 181 | Lincoln County Estimated | 2.95 | +1.93 pts |
| 182 | Alachua County Estimated | 2.94 | -0.78 pts |
| 183 | Strafford County Estimated | 2.93 | +0.5 pts |
| 184 | Franklin County Estimated | 2.93 | +2.66 pts |
| 185 | Hennepin County Estimated | 2.87 | -0.2 pts |
| 186 | Pike County Estimated | 2.86 | -0.22 pts |
| 187 | Plymouth County Estimated | 2.86 | -0.06 pts |
| 188 | Gwinnett County Estimated | 2.86 | -0.67 pts |
| 189 | Garfield County Estimated | 2.85 | -0.79 pts |
| 190 | Clay County Estimated | 2.85 | +2.92 pts |
| 191 | Snohomish County Estimated | 2.85 | -0.26 pts |
| 192 | Madison County Estimated | 2.85 | +0.48 pts |
| 193 | Potter County Estimated | 2.84 | +0.05 pts |
| 194 | Skagit County Estimated | 2.83 | +1.9 pts |
| 195 | Falls Church city Estimated | 2.83 | +0.95 pts |
| 196 | Kings County Estimated | 2.81 | -0.63 pts |
| 197 | Hodgeman County Estimated | 2.81 | -0.47 pts |
| 198 | San Mateo County Estimated | 2.79 | -1.49 pts |
| 199 | Teton County Estimated | 2.77 | +1.3 pts |
| 200 | Wyandotte County Estimated | 2.77 | -0.93 pts |
| 201 | Walworth County Estimated | 2.76 | +2.03 pts |
| 202 | Stevens County Estimated | 2.76 | -2.17 pts |
| 203 | Haskell County Estimated | 2.76 | +1.26 pts |
| 204 | Philadelphia County Estimated | 2.76 | -3.05 pts |
| 205 | Saline County Estimated | 2.76 | +0.36 pts |
| 206 | Douglas County Estimated | 2.74 | +2.06 pts |
| 207 | Merrimack County Estimated | 2.72 | +0.49 pts |
| 208 | Black Hawk County Estimated | 2.72 | +1.38 pts |
| 209 | Mono County Estimated | 2.7 | -1.26 pts |
| 210 | Palo Alto County Estimated | 2.7 | +1.25 pts |
| 211 | McCook County Estimated | 2.69 | +2.16 pts |
| 212 | Lunenburg County Estimated | 2.69 | +1.64 pts |
| 213 | Washington County Estimated | 2.69 | +1.54 pts |
| 214 | Dane County Estimated | 2.69 | +0.61 pts |
| 215 | Adams County Estimated | 2.67 | -0.38 pts |
| 216 | Logan County Estimated | 2.66 | +0.03 pts |
| 217 | Jasper County Estimated | 2.65 | +0.58 pts |
| 218 | Cass County Estimated | 2.65 | -0.6 pts |
| 219 | Howard County Estimated | 2.64 | +0.1 pts |
| 220 | McDonough County Estimated | 2.64 | -0.63 pts |
| 221 | Jackson County Estimated | 2.63 | -0.62 pts |
| 222 | Olmsted County Estimated | 2.62 | -0.27 pts |
| 223 | Hardy County Estimated | 2.61 | +0.8 pts |
| 224 | Ketchikan Gateway Borough Estimated | 2.59 | +0.79 pts |
| 225 | Worcester County Estimated | 2.58 | -2.13 pts |
| 226 | Rice County Estimated | 2.57 | -0.27 pts |
| 227 | Gallatin County Estimated | 2.57 | +1.5 pts |
| 228 | Benton County Estimated | 2.56 | -0.84 pts |
| 229 | Ingham County Estimated | 2.56 | -1.46 pts |
| 230 | Chase County Estimated | 2.56 | +1.8 pts |
| 231 | Nolan County Estimated | 2.56 | +0.61 pts |
| 232 | Guilford County Estimated | 2.56 | +0.16 pts |
| 233 | Cobb County Estimated | 2.55 | -0.1 pts |
| 234 | Hardeman County Estimated | 2.55 | +0.52 pts |
| 235 | Missoula County Estimated | 2.54 | +1.5 pts |
| 236 | Skagway Municipality Estimated | 2.54 | +1.68 pts |
| 237 | Maui County Estimated | 2.54 | -1.24 pts |
| 238 | Aurora County Estimated | 2.53 | +2.17 pts |
| 239 | St. Louis city Estimated | 2.52 | +0.1 pts |
| 240 | Polk County Estimated | 2.52 | +1.59 pts |
| 241 | San Miguel County Estimated | 2.52 | +0.63 pts |
| 242 | Richland County Estimated | 2.51 | -0.18 pts |
| 243 | Yolo County Estimated | 2.5 | -1.45 pts |
| 244 | Gooding County Estimated | 2.49 | +0.32 pts |
| 245 | Lincoln Parish Estimated | 2.49 | +1.01 pts |
| 246 | Kenedy County Estimated | 2.49 | +0.07 pts |
| 247 | Oceana County Estimated | 2.48 | +0.41 pts |
| 248 | Gray County Estimated | 2.48 | +0.5 pts |
| 249 | Decatur County Estimated | 2.47 | +0.72 pts |
| 250 | Clark County Estimated | 2.46 | +2.54 pts |
Other periods
About this ranking
Net international migration from July 1 of the previous year through June 30 of the reported year per 1,000 residents, using the average of the population estimates at the two July 1 endpoints.
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 2019 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 rate per 1,000 residents, 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 rate per 1,000 residents, 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 rate, July to June, 2019) [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 rate per 1,000 residents, 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 rate, July to June, 2019. 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-rate-july-june/us-counties?period=2019. Accessed 12 Oct. 2026.
Chicago (author-date)
U.S. Census Bureau. 2026. Population Estimates Program: net international migration rate per 1,000 residents, 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 rate, July to June, 2019. 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-rate-july-june/us-counties?period=2019.
Harvard
U.S. Census Bureau (2026) Population Estimates Program: net international migration rate per 1,000 residents, 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 rate, July to June, 2019 [Dataset]. Available at: https://www.census.gov/programs-surveys/popest/data/data-sets.html, via Invokely: https://invokely.ai/rankings/net-international-migration-rate-july-june/us-counties?period=2019 (Accessed: 12 October 2026).
BibTeX
@misc{census_us_counties_by_net_2019,
author = {{U.S. Census Bureau}},
title = {{Population Estimates Program: net international migration rate per 1,000 residents, 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 rate, July to June, 2019}},
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-rate-july-june/us-counties?period=2019. Publisher attribution: U.S. Census Bureau. Population Estimates Program: net international migration rate per 1,000 residents, 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 rate per 1,000 residents, 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 rate, July to June, 2019
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-rate-july-june/us-counties?period=2019
Y2 - 2026/10/12
N1 - Accessed via Invokely, https://invokely.ai/rankings/net-international-migration-rate-july-june/us-counties?period=2019.
N1 - Publisher attribution: U.S. Census Bureau. Population Estimates Program: net international migration rate per 1,000 residents, 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 rate, July to June using official data, and cite the source.
rank_places {"indicator":"net_international_migration_rate_july_june","level":"province","within":"United States","limit":10}
GET https://invokely.ai/api/v1/rank?indicator=net_international_migration_rate_july_june&level=province&within=United%20States&limit=10Questions
Which county has the highest net international migration rate, July to June?
Stewart County, with 27.21 per 1,000 inhabitants in 2019, according to the U.S. Census Bureau.
Which county has the lowest net international migration rate, July to June?
Colusa County, with -2.29 per 1,000 inhabitants in 2019.
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 rate per 1,000 residents, 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 2019 and are not ranked.