Counties in Louisiana by net domestic migration, July to June
Orleans Parish had the highest net domestic migration, July to June of 64 counties in 2014, at 2,786. Caddo Parish had the lowest, at -3,712. The median was -106 and the figure for Louisiana was -5,808. Source: the U.S. Census Bureau.
Map of counties, 2014
- Under -260
- -260 to -120
- -120 to 0
- 0 to 80
- 80 to 530
- 530 and over
Top 40 counties, 2014
Full ranking
| Rank | Counties | 2014 | Change on 2013 |
|---|---|---|---|
| 1 | Orleans Parish Estimated | 2,786 | -56% |
| 2 | St. Tammany Parish Estimated | 2,283 | +6.6% |
| 3 | Lafayette Parish Estimated | 2,078 | +1% |
| 4 | Ascension Parish Estimated | 1,603 | +22.4% |
| 5 | Livingston Parish Estimated | 689 | -50.3% |
| 6 | Tangipahoa Parish Estimated | 655 | -30.9% |
| 7 | St. Bernard Parish Estimated | 588 | -61.3% |
| 8 | West Baton Rouge Parish Estimated | 401 | +26.1% |
| 9 | Calcasieu Parish Estimated | 241 | +308.5% |
| 10 | Lafourche Parish Estimated | 220 | +165.7% |
| 11 | Union Parish Estimated | 107 | +205.9% |
| 12 | East Feliciana Parish Estimated | 100 | +148.8% |
| 13 | Jefferson Davis Parish Estimated | 95 | +151.1% |
| 14 | St. Martin Parish Estimated | 73 | +194.8% |
| 15 | West Carroll Parish Estimated | 65 | +641.7% |
| 16 | Terrebonne Parish Estimated | 59 | -82.4% |
| 17 | Acadia Parish Estimated | 30 | -54.5% |
| 18 | LaSalle Parish Estimated | 23 | +145.1% |
| 19 | Allen Parish Estimated | 10 | +113.5% |
| 20 | Concordia Parish Estimated | 0 | -100% |
| 21 | Cameron Parish Estimated | -20 | -128.6% |
| 21 | Winn Parish Estimated | -20 | +91.2% |
| 23 | Vermilion Parish Estimated | -22 | -107.2% |
| 24 | Grant Parish Estimated | -32 | +70.1% |
| 25 | Caldwell Parish Estimated | -54 | -8% |
| 26 | Franklin Parish Estimated | -66 | -73.7% |
| 27 | De Soto Parish Estimated | -74 | -1,950% |
| 28 | Washington Parish Estimated | -80 | +64.1% |
| 29 | Tensas Parish Estimated | -89 | -48.3% |
| 29 | West Feliciana Parish Estimated | -89 | -1,171.4% |
| 31 | Jackson Parish Estimated | -90 | +6.3% |
| 32 | St. Landry Parish Estimated | -98 | +74.8% |
| 33 | East Carroll Parish Estimated | -113 | -34.5% |
| 33 | Pointe Coupee Parish Estimated | -113 | +56.9% |
| 35 | St. John the Baptist Parish Estimated | -117 | +91.8% |
| 36 | Bienville Parish Estimated | -119 | +37.4% |
| 37 | Catahoula Parish Estimated | -121 | -3,125% |
| 38 | Madison Parish Estimated | -133 | +64.1% |
| 39 | Beauregard Parish Estimated | -137 | +43.4% |
| 40 | Natchitoches Parish Estimated | -154 | +63.5% |
| 41 | Sabine Parish Estimated | -167 | -169.4% |
| 42 | Bossier Parish Estimated | -177 | +38.1% |
| 43 | St. Charles Parish Estimated | -194 | -29.3% |
| 44 | Assumption Parish Estimated | -195 | -506.3% |
| 45 | St. James Parish Estimated | -218 | -354.2% |
| 46 | Red River Parish Estimated | -226 | -68.7% |
| 47 | Avoyelles Parish Estimated | -231 | +32.3% |
| 48 | Richland Parish Estimated | -249 | -344.6% |
| 49 | Claiborne Parish Estimated | -258 | -48.3% |
| 50 | St. Helena Parish Estimated | -259 | -37.8% |
| 51 | Evangeline Parish Estimated | -269 | -244.9% |
| 52 | Iberville Parish Estimated | -271 | -442% |
| 53 | Morehouse Parish Estimated | -286 | +30.6% |
| 54 | Webster Parish Estimated | -325 | -60.9% |
| 55 | Lincoln Parish Estimated | -334 | -169.4% |
| 56 | Plaquemines Parish Estimated | -372 | +19.5% |
| 57 | Iberia Parish Estimated | -532 | -75.6% |
| 58 | Ouachita Parish Estimated | -561 | -3,840% |
| 59 | St. Mary Parish Estimated | -680 | -199.6% |
| 60 | Rapides Parish Estimated | -696 | -748.8% |
| 61 | Vernon Parish Estimated | -761 | +69.2% |
| 62 | East Baton Rouge Parish Estimated | -2,176 | -16.2% |
| 63 | Jefferson Parish Estimated | -3,024 | -31.1% |
| 64 | Caddo Parish Estimated | -3,712 | -12.9% |
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 Louisiana by net domestic migration, July to June, 2014) [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 Louisiana by net domestic migration, July to June, 2014. 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/louisiana-counties?period=2014. 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 Louisiana by net domestic migration, July to June, 2014. 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/louisiana-counties?period=2014.
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 Louisiana by net domestic migration, July to June, 2014 [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/louisiana-counties?period=2014 (Accessed: 12 October 2026).
BibTeX
@misc{census_counties_in_louisiana_by_2014,
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 Louisiana by net domestic migration, July to June, 2014}},
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/louisiana-counties?period=2014. 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 Louisiana by net domestic migration, July to June, 2014
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/louisiana-counties?period=2014
Y2 - 2026/10/12
N1 - Accessed via Invokely, https://invokely.ai/rankings/net-domestic-migration-july-june/louisiana-counties?period=2014.
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 Louisiana 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":"Louisiana","limit":10}
GET https://invokely.ai/api/v1/rank?indicator=net_domestic_migration_july_june&level=province&within=Louisiana&limit=10
Questions
Which county has the highest net domestic migration, July to June?
Orleans Parish, with 2,786 in 2014, according to the U.S. Census Bureau.
Which county has the lowest net domestic migration, July to June?
Caddo Parish, with -3,712 in 2014.
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.