Counties in Indiana by net international migration, July to June
Marion County had the highest net international migration, July to June of 92 counties in 2015, at 2,607. DeKalb County had the lowest, at -7. The median was 8 and the figure for Indiana was 8,389. Source: the U.S. Census Bureau.
Map of counties, 2015
- Under 0
- 0 to 10
- 10 to 20
- 20 and over
Top 40 counties, 2015
Full ranking
| Rank | Counties | 2015 | Change on 2014 |
|---|---|---|---|
| 1 | Marion County Estimated | 2,607 | -8.8% |
| 2 | Tippecanoe County Estimated | 1,382 | -19.4% |
| 3 | Monroe County Estimated | 834 | -14.4% |
| 4 | Hamilton County Estimated | 529 | -17.2% |
| 5 | Allen County Estimated | 434 | -23.3% |
| 6 | St. Joseph County Estimated | 428 | -26.5% |
| 7 | Bartholomew County Estimated | 419 | -1.6% |
| 8 | Johnson County Estimated | 224 | -3.4% |
| 9 | Hendricks County Estimated | 159 | -21.7% |
| 10 | Vigo County Estimated | 136 | -9.3% |
| 11 | Delaware County Estimated | 113 | -31.5% |
| 12 | Vanderburgh County Estimated | 109 | -19.3% |
| 13 | Lake County Estimated | 84 | -50% |
| 14 | Jackson County Estimated | 81 | -3.6% |
| 15 | Porter County Estimated | 73 | -35.4% |
| 16 | Elkhart County Estimated | 60 | -31.8% |
| 17 | Warrick County Estimated | 48 | -27.3% |
| 18 | Dubois County Estimated | 43 | -27.1% |
| 19 | Wayne County Estimated | 40 | -21.6% |
| 20 | Kosciusko County Estimated | 39 | -2.5% |
| 21 | Madison County Estimated | 38 | -25.5% |
| 22 | Boone County Estimated | 37 | -22.9% |
| 23 | Morgan County Estimated | 34 | +17.2% |
| 24 | Marshall County Estimated | 32 | +45.5% |
| 25 | Cass County Estimated | 31 | -59.7% |
| 26 | Putnam County Estimated | 28 | -17.6% |
| 27 | Gibson County Estimated | 24 | +700% |
| 28 | Grant County Estimated | 22 | -15.4% |
| 29 | Harrison County Estimated | 20 | +53.8% |
| 30 | Howard County Estimated | 19 | -52.5% |
| 31 | White County Estimated | 17 | -10.5% |
| 32 | Scott County Estimated | 15 | -28.6% |
| 32 | Wells County Estimated | 15 | -46.4% |
| 34 | Decatur County Estimated | 14 | +55.6% |
| 34 | Miami County Estimated | 14 | -6.7% |
| 36 | Floyd County Estimated | 13 | -58.1% |
| 37 | Shelby County Estimated | 12 | -36.8% |
| 38 | Pulaski County Estimated | 11 | +175% |
| 39 | Montgomery County Estimated | 10 | -64.3% |
| 40 | Jefferson County Estimated | 9 | -47.1% |
| 40 | Knox County Estimated | 9 | +12.5% |
| 40 | Orange County Estimated | 9 | 0% |
| 40 | Pike County Estimated | 9 | +125% |
| 40 | Vermillion County Estimated | 9 | -10% |
| 45 | Daviess County Estimated | 8 | |
| 45 | Ripley County Estimated | 8 | -69.2% |
| 45 | Whitley County Estimated | 8 | -55.6% |
| 48 | Blackford County Estimated | 7 | +133.3% |
| 48 | Huntington County Estimated | 7 | -63.2% |
| 48 | Newton County Estimated | 7 | -36.4% |
| 48 | Randolph County Estimated | 7 | 0% |
| 48 | Switzerland County Estimated | 7 | -41.7% |
| 48 | Wabash County Estimated | 7 | +600% |
| 54 | Hancock County Estimated | 6 | +166.7% |
| 54 | Owen County Estimated | 6 | +50% |
| 56 | Henry County Estimated | 5 | -16.7% |
| 57 | Clark County Estimated | 4 | -91.7% |
| 57 | Franklin County Estimated | 4 | -84% |
| 57 | Posey County Estimated | 4 | -42.9% |
| 60 | Carroll County Estimated | 3 | -57.1% |
| 60 | Fountain County Estimated | 3 | +200% |
| 60 | Greene County Estimated | 3 | -62.5% |
| 60 | Tipton County Estimated | 3 | -70% |
| 64 | Fayette County Estimated | 2 | -66.7% |
| 64 | Lawrence County Estimated | 2 | -77.8% |
| 64 | Ohio County Estimated | 2 | 0% |
| 64 | Parke County Estimated | 2 | 0% |
| 68 | Adams County Estimated | 1 | -87.5% |
| 68 | Benton County Estimated | 1 | -50% |
| 68 | Clay County Estimated | 1 | |
| 68 | Fulton County Estimated | 1 | +133.3% |
| 68 | Jasper County Estimated | 1 | -95.5% |
| 68 | Perry County Estimated | 1 | 0% |
| 68 | Steuben County Estimated | 1 | -93.3% |
| 75 | Crawford County Estimated | 0 | |
| 75 | LaPorte County Estimated | 0 | -100% |
| 75 | Noble County Estimated | 0 | +100% |
| 75 | Rush County Estimated | 0 | -100% |
| 75 | Warren County Estimated | 0 | -100% |
| 75 | Washington County Estimated | 0 | |
| 81 | Brown County Estimated | -1 | |
| 81 | Clinton County Estimated | -1 | +80% |
| 81 | Jay County Estimated | -1 | -200% |
| 81 | Jennings County Estimated | -1 | 0% |
| 81 | LaGrange County Estimated | -1 | 0% |
| 81 | Martin County Estimated | -1 | |
| 81 | Spencer County Estimated | -1 | |
| 81 | Starke County Estimated | -1 | +50% |
| 81 | Sullivan County Estimated | -1 | +50% |
| 90 | Union County Estimated | -4 | -100% |
| 91 | Dearborn County Estimated | -6 | +33.3% |
| 92 | DeKalb County Estimated | -7 | -75% |
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 Indiana 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 Indiana 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/indiana-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 Indiana 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/indiana-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 Indiana 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/indiana-counties?period=2015 (Accessed: 12 October 2026).
BibTeX
@misc{census_counties_in_indiana_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 Indiana 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/indiana-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 Indiana 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/indiana-counties?period=2015
Y2 - 2026/10/12
N1 - Accessed via Invokely, https://invokely.ai/rankings/net-international-migration-july-june/indiana-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 Indiana 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":"Indiana","limit":10}
GET https://invokely.ai/api/v1/rank?indicator=net_international_migration_july_june&level=province&within=Indiana&limit=10
Questions
Which county has the highest net international migration, July to June?
Marion County, with 2,607 in 2015, according to the U.S. Census Bureau.
Which county has the lowest net international migration, July to June?
DeKalb County, with -7 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.
Net international migration, July to June: other rankings
Counties in Indiana: more rankings
- High school graduate or higher, population 25 and over
- Population aged 65 and over
- Crude birth rate, July to June
- Population density
- High blood pressure in adults, local model estimate
- Fair Market Rent, efficiency (HUD, monthly)
- Current asthma in adults, local model estimate
- Uninsured rate, under 19 (US, ACS)