Counties in Ohio by net domestic migration, July to June
Franklin County had the highest net domestic migration, July to June of 88 counties in 2015, at 2,343. Cuyahoga County had the lowest, at -9,843. The median was -172 and the figure for Ohio was -30,228. Source: the U.S. Census Bureau.
Map of counties, 2015
- Under -300
- -300 to -100
- -100 to 0
- 0 to 100
- 100 to 400
- 400 and over
Top 40 counties, 2015
Full ranking
| Rank | Counties | 2015 | Change on 2014 |
|---|---|---|---|
| 1 | Franklin County Estimated | 2,343 | -29.3% |
| 2 | Delaware County Estimated | 2,337 | -6.3% |
| 3 | Warren County Estimated | 1,382 | +53.6% |
| 4 | Athens County Estimated | 763 | +468.6% |
| 5 | Licking County Estimated | 741 | +87.1% |
| 6 | Fairfield County Estimated | 289 | -70.4% |
| 7 | Union County Estimated | 240 | +900% |
| 8 | Muskingum County Estimated | 173 | +44.2% |
| 9 | Butler County Estimated | 171 | -55.1% |
| 10 | Pickaway County Estimated | 145 | -34.4% |
| 11 | Madison County Estimated | 91 | -85.3% |
| 12 | Washington County Estimated | 21 | +114.4% |
| 13 | Morgan County Estimated | 12 | +108.6% |
| 14 | Van Wert County Estimated | 3 | +110.3% |
| 15 | Hancock County Estimated | 0 | +100% |
| 16 | Meigs County Estimated | -10 | +93.3% |
| 17 | Ross County Estimated | -12 | +96.6% |
| 18 | Lorain County Estimated | -25 | -105.9% |
| 18 | Morrow County Estimated | -25 | -238.9% |
| 20 | Perry County Estimated | -27 | +81.5% |
| 21 | Miami County Estimated | -31 | -107.7% |
| 22 | Ottawa County Estimated | -42 | -310% |
| 23 | Ashland County Estimated | -44 | +79.7% |
| 23 | Fayette County Estimated | -44 | -57.1% |
| 23 | Jefferson County Estimated | -44 | -91.3% |
| 26 | Paulding County Estimated | -45 | +83% |
| 27 | Crawford County Estimated | -46 | +81.4% |
| 28 | Coshocton County Estimated | -52 | +71.7% |
| 29 | Clinton County Estimated | -55 | +61% |
| 30 | Harrison County Estimated | -69 | -60.5% |
| 31 | Noble County Estimated | -72 | +52% |
| 32 | Medina County Estimated | -77 | -111.3% |
| 33 | Monroe County Estimated | -79 | +40.2% |
| 34 | Champaign County Estimated | -81 | +80.3% |
| 35 | Pike County Estimated | -83 | +37.1% |
| 36 | Wyandot County Estimated | -101 | +45.1% |
| 37 | Adams County Estimated | -118 | -490% |
| 38 | Henry County Estimated | -136 | +47.5% |
| 39 | Auglaize County Estimated | -138 | -3.8% |
| 40 | Vinton County Estimated | -143 | -55.4% |
| 41 | Knox County Estimated | -144 | -523.5% |
| 42 | Tuscarawas County Estimated | -156 | -83.5% |
| 43 | Highland County Estimated | -160 | +26.9% |
| 44 | Lake County Estimated | -169 | +68.9% |
| 45 | Geauga County Estimated | -175 | -153.6% |
| 46 | Darke County Estimated | -188 | +13% |
| 47 | Mercer County Estimated | -192 | -262.3% |
| 48 | Clermont County Estimated | -195 | -162.5% |
| 49 | Williams County Estimated | -199 | +19.1% |
| 50 | Fulton County Estimated | -206 | -455.2% |
| 51 | Hardin County Estimated | -218 | -220.6% |
| 52 | Brown County Estimated | -222 | -17.5% |
| 53 | Belmont County Estimated | -225 | -878.3% |
| 53 | Preble County Estimated | -225 | -37.2% |
| 55 | Gallia County Estimated | -229 | +14.2% |
| 56 | Jackson County Estimated | -246 | -207.5% |
| 56 | Logan County Estimated | -246 | -2,136.4% |
| 58 | Defiance County Estimated | -258 | -136.7% |
| 59 | Seneca County Estimated | -264 | -277.1% |
| 59 | Shelby County Estimated | -264 | +36.1% |
| 61 | Hocking County Estimated | -274 | -430.1% |
| 62 | Richland County Estimated | -282 | +37.2% |
| 62 | Wayne County Estimated | -282 | -137% |
| 64 | Guernsey County Estimated | -300 | -4,900% |
| 65 | Erie County Estimated | -313 | -46.3% |
| 66 | Holmes County Estimated | -314 | -4.7% |
| 67 | Putnam County Estimated | -341 | -194% |
| 68 | Carroll County Estimated | -344 | -514.3% |
| 69 | Marion County Estimated | -378 | -53.7% |
| 70 | Sandusky County Estimated | -380 | -82.7% |
| 70 | Scioto County Estimated | -380 | +52.5% |
| 72 | Clark County Estimated | -456 | -67% |
| 73 | Huron County Estimated | -465 | -24.7% |
| 74 | Lawrence County Estimated | -489 | -90.3% |
| 75 | Wood County Estimated | -505 | -132.7% |
| 76 | Portage County Estimated | -521 | -615.8% |
| 77 | Ashtabula County Estimated | -603 | +16.3% |
| 78 | Columbiana County Estimated | -642 | -208.7% |
| 79 | Allen County Estimated | -923 | -104.7% |
| 80 | Mahoning County Estimated | -970 | -37.4% |
| 81 | Stark County Estimated | -979 | -2,547.5% |
| 82 | Trumbull County Estimated | -1,142 | -14.5% |
| 83 | Greene County Estimated | -1,380 | -516.1% |
| 84 | Summit County Estimated | -1,977 | -65.2% |
| 85 | Montgomery County Estimated | -2,461 | +31.5% |
| 86 | Lucas County Estimated | -2,723 | +22% |
| 87 | Hamilton County Estimated | -3,492 | -26.7% |
| 88 | Cuyahoga County Estimated | -9,843 | -29.8% |
Other periods
About this ranking
Estimated moves into an area from elsewhere in the same country minus moves out to the rest of the country, from July 1 of the previous year through June 30 of the reported year.
More on how it is measured
- United States: states and counties.
- Canada: provinces and territories, net interprovincial migration (Statistics Canada).
- United Kingdom: local authorities, counting moves between any two UK local authorities, including across the borders of England, Wales, Scotland and Northern Ireland (ONS internal migration).
- A negative value means more people left than arrived.
Sums to zero, or close to it, for each country as a whole, so there is no national value.
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 domestic migration, states and counties, 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 domestic migration, states and counties, 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 domestic 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 domestic migration, states and counties, 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 domestic 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-domestic-migration-july-june/ohio-counties?period=2015. Accessed 12 Oct. 2026.
Chicago (author-date)
U.S. Census Bureau. 2026. Population Estimates Program: net domestic migration, states and counties, 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 domestic 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-domestic-migration-july-june/ohio-counties?period=2015.
Harvard
U.S. Census Bureau (2026) Population Estimates Program: net domestic migration, states and counties, 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 domestic 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-domestic-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 domestic migration, states and counties, 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 domestic 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-domestic-migration-july-june/ohio-counties?period=2015. Publisher attribution: U.S. Census Bureau. Population Estimates Program: net domestic migration, states and counties, 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 domestic migration, states and counties, 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 domestic 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-domestic-migration-july-june/ohio-counties?period=2015
Y2 - 2026/10/12
N1 - Accessed via Invokely, https://invokely.ai/rankings/net-domestic-migration-july-june/ohio-counties?period=2015.
N1 - Publisher attribution: U.S. Census Bureau. Population Estimates Program: net domestic migration, states and counties, 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 domestic migration, July to June using official data, and cite the source.
rank_places {"indicator":"net_domestic_migration_july_june","level":"province","within":"Ohio","limit":10}
GET https://invokely.ai/api/v1/rank?indicator=net_domestic_migration_july_june&level=province&within=Ohio&limit=10Questions
Which county has the highest net domestic migration, July to June?
Franklin County, with 2,343 in 2015, according to the U.S. Census Bureau.
Which county has the lowest net domestic migration, July to June?
Cuyahoga County, with -9,843 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 domestic migration, states and counties, 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 domestic migration, July to June: other rankings
Counties in Ohio: more rankings
- Bachelor's degree or higher, population 25 and over
- High school graduate or higher, population 25 and over
- Asian population share
- Population aged 65 and over
- Current asthma in adults, local model estimate
- Average household size
- County house price index, 1990 = 100
- Fair Market Rent, one bedroom (HUD, monthly)