Counties in Ohio by net international migration, July to June
Franklin County had the highest net international migration, July to June of 88 counties in 2015, at 7,508. Lawrence County had the lowest, at -11. The median was 32 and the figure for Ohio was 25,327. Source: the U.S. Census Bureau.
Map of counties, 2015
- Under 0
- 0 to 20
- 20 to 90
- 90 and over
Top 40 counties, 2015
Full ranking
| Rank | Counties | 2015 | Change on 2014 |
|---|---|---|---|
| 1 | Franklin County Estimated | 7,508 | +19.8% |
| 2 | Cuyahoga County Estimated | 4,024 | +7.8% |
| 3 | Hamilton County Estimated | 2,593 | +17% |
| 4 | Summit County Estimated | 1,298 | +18.1% |
| 5 | Montgomery County Estimated | 1,254 | +13.8% |
| 6 | Butler County Estimated | 928 | +21.9% |
| 7 | Lucas County Estimated | 678 | +35.9% |
| 8 | Greene County Estimated | 666 | +23.1% |
| 9 | Portage County Estimated | 663 | +15.3% |
| 10 | Lorain County Estimated | 615 | +4.6% |
| 11 | Warren County Estimated | 539 | +8% |
| 12 | Delaware County Estimated | 505 | +54.9% |
| 13 | Lake County Estimated | 382 | +34% |
| 14 | Mahoning County Estimated | 300 | -8% |
| 15 | Athens County Estimated | 295 | -6.1% |
| 16 | Fairfield County Estimated | 219 | +28.1% |
| 17 | Hancock County Estimated | 217 | +43.7% |
| 18 | Wood County Estimated | 214 | -2.3% |
| 19 | Stark County Estimated | 184 | +75.2% |
| 20 | Licking County Estimated | 168 | +7.7% |
| 21 | Clermont County Estimated | 164 | +97.6% |
| 22 | Ashland County Estimated | 123 | +23% |
| 23 | Wayne County Estimated | 122 | +3.4% |
| 24 | Miami County Estimated | 96 | +2.1% |
| 25 | Muskingum County Estimated | 94 | +32.4% |
| 25 | Union County Estimated | 94 | +5.6% |
| 27 | Tuscarawas County Estimated | 91 | +12.3% |
| 28 | Clark County Estimated | 85 | +150% |
| 29 | Ashtabula County Estimated | 84 | +33.3% |
| 29 | Seneca County Estimated | 84 | +58.5% |
| 31 | Shelby County Estimated | 81 | +20.9% |
| 32 | Medina County Estimated | 64 | -25.6% |
| 33 | Marion County Estimated | 58 | +427.3% |
| 34 | Madison County Estimated | 52 | +40.5% |
| 35 | Geauga County Estimated | 49 | -5.8% |
| 36 | Washington County Estimated | 47 | +62.1% |
| 37 | Gallia County Estimated | 45 | |
| 37 | Richland County Estimated | 45 | -2.2% |
| 39 | Defiance County Estimated | 41 | +17.1% |
| 40 | Auglaize County Estimated | 39 | +14.7% |
| 41 | Preble County Estimated | 34 | +61.9% |
| 42 | Allen County Estimated | 32 | +128.6% |
| 42 | Crawford County Estimated | 32 | +45.5% |
| 42 | Erie County Estimated | 32 | -5.9% |
| 42 | Jackson County Estimated | 32 | +45.5% |
| 42 | Scioto County Estimated | 32 | -5.9% |
| 47 | Fulton County Estimated | 28 | +250% |
| 48 | Trumbull County Estimated | 23 | +21.1% |
| 49 | Fayette County Estimated | 22 | +57.1% |
| 49 | Ross County Estimated | 22 | +10% |
| 51 | Columbiana County Estimated | 21 | -8.7% |
| 52 | Darke County Estimated | 18 | +50% |
| 53 | Clinton County Estimated | 17 | +54.5% |
| 53 | Mercer County Estimated | 17 | +13.3% |
| 55 | Highland County Estimated | 15 | +15.4% |
| 55 | Huron County Estimated | 15 | +50% |
| 55 | Sandusky County Estimated | 15 | |
| 58 | Knox County Estimated | 13 | +160% |
| 58 | Pickaway County Estimated | 13 | +8.3% |
| 60 | Paulding County Estimated | 11 | +120% |
| 60 | Wyandot County Estimated | 11 | -26.7% |
| 62 | Guernsey County Estimated | 10 | +25% |
| 63 | Champaign County Estimated | 9 | +28.6% |
| 63 | Logan County Estimated | 9 | -62.5% |
| 65 | Adams County Estimated | 8 | -42.9% |
| 65 | Putnam County Estimated | 8 | +14.3% |
| 67 | Hocking County Estimated | 7 | +133.3% |
| 68 | Belmont County Estimated | 6 | +166.7% |
| 68 | Perry County Estimated | 6 | -57.1% |
| 70 | Coshocton County Estimated | 3 | -75% |
| 70 | Hardin County Estimated | 3 | -86.4% |
| 70 | Harrison County Estimated | 3 | +200% |
| 70 | Van Wert County Estimated | 3 | -62.5% |
| 74 | Morgan County Estimated | 2 | 0% |
| 75 | Brown County Estimated | 1 | 0% |
| 75 | Carroll County Estimated | 1 | -75% |
| 75 | Henry County Estimated | 1 | |
| 75 | Holmes County Estimated | 1 | |
| 75 | Jefferson County Estimated | 1 | +200% |
| 80 | Meigs County Estimated | 0 | +100% |
| 80 | Vinton County Estimated | 0 | |
| 82 | Monroe County Estimated | -1 | -200% |
| 82 | Noble County Estimated | -1 | |
| 82 | Ottawa County Estimated | -1 | 0% |
| 82 | Pike County Estimated | -1 | -200% |
| 82 | Williams County Estimated | -1 | -150% |
| 87 | Morrow County Estimated | -2 | -200% |
| 88 | Lawrence County Estimated | -11 | +8.3% |
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 Ohio by net international migration, July to June, 2015) [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 Ohio by net international migration, July to June, 2015. 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/ohio-counties?period=2015. 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 Ohio by net international migration, July to June, 2015. 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/ohio-counties?period=2015.
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 Ohio by net international migration, July to June, 2015 [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/ohio-counties?period=2015 (Accessed: 12 October 2026).
BibTeX
@misc{census_counties_in_ohio_by_2015,
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 Ohio by net international migration, July to June, 2015}},
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/ohio-counties?period=2015. 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 Ohio by net international migration, July to June, 2015
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/ohio-counties?period=2015
Y2 - 2026/10/12
N1 - Accessed via Invokely, https://invokely.ai/rankings/net-international-migration-july-june/ohio-counties?period=2015.
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 Ohio 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":"Ohio","limit":10}
GET https://invokely.ai/api/v1/rank?indicator=net_international_migration_july_june&level=province&within=Ohio&limit=10Questions
Which county has the highest net international migration, July to June?
Franklin County, with 7,508 in 2015, according to the U.S. Census Bureau.
Which county has the lowest net international migration, July to June?
Lawrence County, with -11 in 2015.
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.