Counties in Virginia by net international migration, July to June
Fairfax County had the highest net international migration, July to June of 133 counties in 2019, at 8,234. Westmoreland County had the lowest, at -7. The median was 14 and the figure for Virginia was 25,830. Source: the U.S. Census Bureau.
Map of counties, 2019
- Under 0
- 0 to 10
- 10 to 50
- 50 and over
Top 40 counties, 2019
Full ranking
| Rank | Counties | 2019 | Change on 2018 |
|---|---|---|---|
| 1 | Fairfax County Estimated | 8,234 | +54.7% |
| 2 | Prince William County Estimated | 2,183 | +47.9% |
| 3 | Arlington County Estimated | 1,811 | +46% |
| 4 | Loudoun County Estimated | 1,738 | +46.5% |
| 5 | Henrico County Estimated | 1,588 | +47.9% |
| 6 | Alexandria city Estimated | 1,480 | +38.1% |
| 7 | Virginia Beach city Estimated | 747 | +154.9% |
| 8 | Richmond city Estimated | 722 | +30.8% |
| 9 | Norfolk city Estimated | 533 | +223% |
| 10 | Chesterfield County Estimated | 476 | +40.8% |
| 11 | Montgomery County Estimated | 438 | +64.7% |
| 12 | Newport News city Estimated | 413 | +49.1% |
| 13 | Harrisonburg city Estimated | 410 | +13.9% |
| 14 | Roanoke city Estimated | 377 | +50.2% |
| 15 | Albemarle County Estimated | 330 | +86.4% |
| 16 | Lynchburg city Estimated | 315 | +42.5% |
| 17 | Chesapeake city Estimated | 284 | +16.4% |
| 18 | Charlottesville city Estimated | 273 | +54.2% |
| 19 | Fairfax city Estimated | 225 | +45.2% |
| 20 | Manassas city Estimated | 196 | +37.1% |
| 21 | Hampton city Estimated | 181 | +52.1% |
| 22 | Portsmouth city Estimated | 175 | +113.4% |
| 23 | Stafford County Estimated | 153 | +168.4% |
| 24 | Fredericksburg city Estimated | 136 | -1.4% |
| 25 | York County Estimated | 131 | +48.9% |
| 26 | Roanoke County Estimated | 124 | +67.6% |
| 27 | Winchester city Estimated | 122 | +16.2% |
| 28 | Manassas Park city Estimated | 118 | +59.5% |
| 29 | James City County Estimated | 113 | +7.6% |
| 30 | Culpeper County Estimated | 98 | +28.9% |
| 31 | Isle of Wight County Estimated | 88 | +15.8% |
| 31 | Spotsylvania County Estimated | 88 | +11.4% |
| 33 | Staunton city Estimated | 82 | +26.2% |
| 34 | Waynesboro city Estimated | 77 | +60.4% |
| 35 | Campbell County Estimated | 73 | +92.1% |
| 35 | Hanover County Estimated | 73 | +65.9% |
| 37 | Rockingham County Estimated | 70 | +66.7% |
| 38 | Frederick County Estimated | 65 | -49.2% |
| 39 | Augusta County Estimated | 60 | +50% |
| 40 | Accomack County Estimated | 59 | +7.3% |
| 41 | Bedford County Estimated | 52 | +33.3% |
| 42 | Williamsburg city Estimated | 49 | +58.1% |
| 43 | Suffolk city Estimated | 47 | +422.2% |
| 44 | Carroll County Estimated | 44 | +120% |
| 45 | Prince Edward County Estimated | 42 | +10.5% |
| 46 | Falls Church city Estimated | 41 | +51.9% |
| 47 | Hopewell city Estimated | 35 | -57.3% |
| 48 | Orange County Estimated | 34 | +17.2% |
| 49 | Danville city Estimated | 33 | +6.5% |
| 49 | Lunenburg County Estimated | 33 | +153.8% |
| 51 | Warren County Estimated | 31 | +138.5% |
| 52 | Shenandoah County Estimated | 29 | -50% |
| 53 | Greene County Estimated | 24 | +50% |
| 54 | Buchanan County Estimated | 23 | +27.8% |
| 54 | Rockbridge County Estimated | 23 | +64.3% |
| 54 | Salem city Estimated | 23 | +43.8% |
| 57 | Fluvanna County Estimated | 20 | +100% |
| 57 | Martinsville city Estimated | 20 | +25% |
| 59 | Fauquier County Estimated | 19 | -24% |
| 59 | Smyth County Estimated | 19 | +58.3% |
| 61 | Louisa County Estimated | 18 | +200% |
| 62 | Botetourt County Estimated | 16 | +128.6% |
| 62 | Prince George County Estimated | 16 | +206.7% |
| 62 | Radford city Estimated | 16 | +128.6% |
| 65 | Lancaster County Estimated | 15 | -6.3% |
| 66 | Madison County Estimated | 14 | +100% |
| 66 | Nottoway County Estimated | 14 | +366.7% |
| 68 | Amherst County Estimated | 12 | +20% |
| 68 | Brunswick County Estimated | 12 | +71.4% |
| 68 | Wise County Estimated | 12 | +100% |
| 71 | Appomattox County Estimated | 11 | +57.1% |
| 71 | Caroline County Estimated | 11 | +37.5% |
| 71 | Northampton County Estimated | 11 | +266.7% |
| 74 | Essex County Estimated | 10 | +25% |
| 74 | King George County Estimated | 10 | -76.2% |
| 74 | King William County Estimated | 10 | +100% |
| 74 | Petersburg city Estimated | 10 | +158.8% |
| 78 | Covington city Estimated | 9 | +12.5% |
| 78 | Henry County Estimated | 9 | +80% |
| 80 | Charlotte County Estimated | 8 | +60% |
| 80 | Colonial Heights city Estimated | 8 | -20% |
| 80 | Richmond County Estimated | 8 | +100% |
| 80 | Tazewell County Estimated | 8 | +60% |
| 84 | Clarke County Estimated | 7 | -12.5% |
| 84 | Grayson County Estimated | 7 | +133.3% |
| 84 | Mecklenburg County Estimated | 7 | +250% |
| 84 | Pittsylvania County Estimated | 7 | -12.5% |
| 84 | Washington County Estimated | 7 | +450% |
| 89 | Pulaski County Estimated | 6 | +500% |
| 90 | King and Queen County Estimated | 5 | +400% |
| 90 | Page County Estimated | 5 | -58.3% |
| 90 | Rappahannock County Estimated | 5 | +25% |
| 93 | Bath County Estimated | 4 | +300% |
| 93 | Gloucester County Estimated | 4 | +500% |
| 95 | Buena Vista city Estimated | 3 | +50% |
| 95 | Dinwiddie County Estimated | 3 | 0% |
| 95 | Greensville County Estimated | 3 | +200% |
| 95 | Nelson County Estimated | 3 | 0% |
| 95 | Norton city Estimated | 3 | +200% |
| 95 | Poquoson city Estimated | 3 | +200% |
| 95 | Southampton County Estimated | 3 | +50% |
| 102 | Halifax County Estimated | 2 | +300% |
| 102 | New Kent County Estimated | 2 | +166.7% |
| 102 | Powhatan County Estimated | 2 | |
| 105 | Amelia County Estimated | 1 | |
| 105 | Buckingham County Estimated | 1 | |
| 105 | Dickenson County Estimated | 1 | |
| 105 | Lexington city Estimated | 1 | +150% |
| 105 | Surry County Estimated | 1 | |
| 105 | Sussex County Estimated | 1 | 0% |
| 111 | Bland County Estimated | 0 | |
| 111 | Bristol city Estimated | 0 | +100% |
| 111 | Charles City County Estimated | 0 | |
| 111 | Cumberland County Estimated | 0 | |
| 111 | Franklin city Estimated | 0 | |
| 111 | Goochland County Estimated | 0 | +100% |
| 111 | Highland County Estimated | 0 | |
| 111 | Mathews County Estimated | 0 | |
| 111 | Northumberland County Estimated | 0 | |
| 111 | Russell County Estimated | 0 | |
| 121 | Craig County Estimated | -1 | 0% |
| 121 | Giles County Estimated | -1 | |
| 123 | Alleghany County Estimated | -2 | +33.3% |
| 123 | Floyd County Estimated | -2 | +33.3% |
| 123 | Galax city Estimated | -2 | +50% |
| 123 | Lee County Estimated | -2 | 0% |
| 123 | Middlesex County Estimated | -2 | 0% |
| 123 | Scott County Estimated | -2 | -100% |
| 129 | Emporia city Estimated | -3 | 0% |
| 129 | Patrick County Estimated | -3 | |
| 131 | Franklin County Estimated | -4 | +50% |
| 131 | Wythe County Estimated | -4 | +20% |
| 133 | Westmoreland County Estimated | -7 | 0% |
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. 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 (Counties in Virginia by net international migration, 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, 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, Counties in Virginia by net international migration, 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-july-june/virginia-counties?period=2019. 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. Counties in Virginia by net international migration, 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-july-june/virginia-counties?period=2019.
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, Counties in Virginia by net international migration, 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-july-june/virginia-counties?period=2019 (Accessed: 12 October 2026).
BibTeX
@misc{census_counties_in_virginia_by_2019,
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: Counties in Virginia by net international migration, 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-july-june/virginia-counties?period=2019. 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: Counties in Virginia by net international migration, 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-july-june/virginia-counties?period=2019
Y2 - 2026/10/12
N1 - Accessed via Invokely, https://invokely.ai/rankings/net-international-migration-july-june/virginia-counties?period=2019.
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 Counties in Virginia 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":"Virginia","limit":10}
GET https://invokely.ai/api/v1/rank?indicator=net_international_migration_july_june&level=province&within=Virginia&limit=10
Questions
Which county has the highest net international migration, July to June?
Fairfax County, with 8,234 in 2019, according to the U.S. Census Bureau.
Which county has the lowest net international migration, July to June?
Westmoreland County, with -7 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, 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.
Net international migration, July to June: other rankings
Counties in Virginia: more rankings
- Population aged 65 and over
- Natural change, July to June
- Population under 18
- Black or African American population share
- COPD in adults, local model estimate
- Fair Market Rent, one bedroom (HUD, monthly)
- Housing vacancy rate, all vacant units (US)
- Labor force participation rate (US five-year survey estimate)