Counties in North Carolina by net international migration, July to June
Mecklenburg County had the highest net international migration, July to June of 100 counties in 2019, at 5,375. Chatham County had the lowest, at -17. The median was 12 and the figure for North Carolina was 16,329. Source: the U.S. Census Bureau.
Map of counties, 2019
- Under -10
- -10 to 0
- 0 to 10
- 10 to 60
- 60 and over
Top 40 counties, 2019
Full ranking
| Rank | Counties | 2019 | Change on 2018 |
|---|---|---|---|
| 1 | Mecklenburg County Estimated | 5,375 | +8.1% |
| 2 | Wake County Estimated | 3,654 | +5.4% |
| 3 | Durham County Estimated | 1,634 | +5.8% |
| 4 | Guilford County Estimated | 1,369 | +7.6% |
| 5 | Cumberland County Estimated | 581 | +49.4% |
| 6 | Orange County Estimated | 515 | +17.6% |
| 7 | Forsyth County Estimated | 382 | -30.5% |
| 8 | Wayne County Estimated | 229 | +5% |
| 9 | Iredell County Estimated | 173 | +6.1% |
| 10 | Buncombe County Estimated | 165 | -15.8% |
| 11 | Catawba County Estimated | 164 | -6.8% |
| 12 | Johnston County Estimated | 125 | -45.9% |
| 13 | Cabarrus County Estimated | 124 | -21.5% |
| 14 | Duplin County Estimated | 117 | -2.5% |
| 14 | Sampson County Estimated | 117 | -4.9% |
| 16 | Davidson County Estimated | 107 | -25.7% |
| 17 | New Hanover County Estimated | 105 | +5% |
| 18 | Pitt County Estimated | 92 | -27.6% |
| 19 | Vance County Estimated | 88 | -10.2% |
| 20 | Moore County Estimated | 80 | +63.3% |
| 21 | Burke County Estimated | 71 | +1.4% |
| 22 | Union County Estimated | 70 | -43.1% |
| 23 | Lee County Estimated | 69 | -15.9% |
| 24 | Gaston County Estimated | 65 | -38.7% |
| 25 | Franklin County Estimated | 64 | -44.8% |
| 26 | Craven County Estimated | 63 | +203.3% |
| 27 | Nash County Estimated | 58 | +13.7% |
| 28 | Caldwell County Estimated | 55 | -3.5% |
| 29 | Dare County Estimated | 50 | +6.4% |
| 30 | Harnett County Estimated | 47 | -61.8% |
| 31 | Cleveland County Estimated | 46 | -2.1% |
| 31 | Wilson County Estimated | 46 | -45.9% |
| 33 | Watauga County Estimated | 45 | -19.6% |
| 34 | Wilkes County Estimated | 37 | -19.6% |
| 35 | Anson County Estimated | 33 | +17.9% |
| 36 | Robeson County Estimated | 32 | -58.4% |
| 36 | Stokes County Estimated | 32 | +23.1% |
| 38 | Onslow County Estimated | 27 | +104.5% |
| 39 | Lincoln County Estimated | 26 | -64.9% |
| 40 | Alamance County Estimated | 25 | -69.5% |
| 40 | Macon County Estimated | 25 | -40.5% |
| 42 | Beaufort County Estimated | 23 | -8% |
| 42 | Hoke County Estimated | 23 | -61.7% |
| 44 | Carteret County Estimated | 19 | +171.4% |
| 45 | Randolph County Estimated | 18 | -81.6% |
| 46 | Halifax County Estimated | 15 | +25% |
| 47 | Polk County Estimated | 14 | -17.6% |
| 48 | Hertford County Estimated | 13 | +18.2% |
| 48 | Scotland County Estimated | 13 | 0% |
| 50 | Avery County Estimated | 12 | -14.3% |
| 50 | Bertie County Estimated | 12 | +71.4% |
| 50 | Caswell County Estimated | 12 | -29.4% |
| 50 | Pender County Estimated | 12 | -45.5% |
| 54 | Edgecombe County Estimated | 11 | -62.1% |
| 54 | Madison County Estimated | 11 | -8.3% |
| 56 | Person County Estimated | 10 | +66.7% |
| 57 | Lenoir County Estimated | 9 | -84.5% |
| 57 | Northampton County Estimated | 9 | +28.6% |
| 59 | Alleghany County Estimated | 7 | -46.2% |
| 59 | Stanly County Estimated | 7 | -53.3% |
| 61 | Granville County Estimated | 5 | -87.2% |
| 61 | Haywood County Estimated | 5 | -68.8% |
| 61 | Jackson County Estimated | 5 | -92.4% |
| 61 | Mitchell County Estimated | 5 | -68.8% |
| 65 | Pasquotank County Estimated | 4 | -95.3% |
| 65 | Transylvania County Estimated | 4 | -71.4% |
| 67 | Camden County Estimated | 3 | 0% |
| 67 | Greene County Estimated | 3 | -89.3% |
| 67 | Surry County Estimated | 3 | -96.5% |
| 67 | Swain County Estimated | 3 | -80% |
| 71 | Columbus County Estimated | 1 | -91.7% |
| 71 | Gates County Estimated | 1 | 0% |
| 71 | Martin County Estimated | 1 | 0% |
| 71 | McDowell County Estimated | 1 | -95.2% |
| 75 | Alexander County Estimated | 0 | +100% |
| 75 | Jones County Estimated | 0 | -100% |
| 75 | Tyrrell County Estimated | 0 | |
| 78 | Clay County Estimated | -1 | +80% |
| 78 | Graham County Estimated | -1 | -125% |
| 78 | Yancey County Estimated | -1 | -120% |
| 81 | Hyde County Estimated | -2 | 0% |
| 81 | Pamlico County Estimated | -2 | 0% |
| 83 | Brunswick County Estimated | -3 | |
| 83 | Perquimans County Estimated | -3 | 0% |
| 85 | Bladen County Estimated | -4 | -125% |
| 86 | Chowan County Estimated | -5 | 0% |
| 86 | Rockingham County Estimated | -5 | -145.5% |
| 86 | Washington County Estimated | -5 | 0% |
| 89 | Richmond County Estimated | -6 | -250% |
| 90 | Henderson County Estimated | -7 | -128% |
| 90 | Rutherford County Estimated | -7 | 0% |
| 90 | Warren County Estimated | -7 | 0% |
| 93 | Ashe County Estimated | -8 | |
| 93 | Montgomery County Estimated | -8 | -140% |
| 95 | Currituck County Estimated | -9 | -200% |
| 96 | Rowan County Estimated | -10 | -112.2% |
| 96 | Yadkin County Estimated | -10 | -183.3% |
| 98 | Cherokee County Estimated | -12 | -192.3% |
| 99 | Davie County Estimated | -14 | -55.6% |
| 100 | Chatham County Estimated | -17 | -183.3% |
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 North Carolina 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 North Carolina 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/north-carolina-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 North Carolina 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/north-carolina-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 North Carolina 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/north-carolina-counties?period=2019 (Accessed: 12 October 2026).
BibTeX
@misc{census_counties_in_north_carolina_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 North Carolina 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/north-carolina-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 North Carolina 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/north-carolina-counties?period=2019
Y2 - 2026/10/12
N1 - Accessed via Invokely, https://invokely.ai/rankings/net-international-migration-july-june/north-carolina-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 North Carolina 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":"North Carolina","limit":10}
GET https://invokely.ai/api/v1/rank?indicator=net_international_migration_july_june&level=province&within=North%20Carolina&limit=10Questions
Which county has the highest net international migration, July to June?
Mecklenburg County, with 5,375 in 2019, according to the U.S. Census Bureau.
Which county has the lowest net international migration, July to June?
Chatham County, with -17 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.