Kansas Net Migration Rate By County in 2022
According to the US Census Bureau estimates, in 2022, the net migration rate per 1,000 population for Kansas was -0.51. Comanche County had the highest net migration rate per 1,000 population (23.26), followed by Woodson County (20.96), and Elk County (16.78). On the other hand, Stanton County had the lowest net migration rate per 1,000 population (-38.38), followed by Geary County (-35.51), and Greeley County (-34.21).
Net migration rate for a county refers to the difference between the number of migrants, both domestic and international, moving to the county and those leaving the county per 1,000 of the county's mid-year population. A positive rate is known as a net immigration rate, and a negative rate is known as a net emigration rate.
You can also see similar information for other states and also by state for the United States.
Hover over or click on the chart to see this information for each county. The data can also be filtered, sorted, and explored further in a table below.
| County | Net Migration Rate |
|---|---|
| Allen | 6.48 |
| Anderson | 0.13 |
| Atchison | -8.18 |
| Barber | 12.89 |
| Barton | -5.01 |
| Bourbon | 10.22 |
| Brown | -3.19 |
| Butler | 6.58 |
| Chase | -15.08 |
| Chautauqua | 12.4 |
| Cherokee | -0.99 |
| Cheyenne | -4.95 |
| Clark | -4.62 |
| Clay | -0.99 |
| Cloud | 4.81 |
| Coffey | -4.94 |
| Comanche | 23.26 |
| Cowley | -2.32 |
| Crawford | 5.71 |
| Decatur | -16.86 |
| Dickinson | 0.33 |
| Doniphan | 7.77 |
| Douglas | 3.48 |
| Edwards | -3.6 |
| Elk | 16.78 |
| Ellis | -0.73 |
| Ellsworth | 14.64 |
| Finney | -17.8 |
| Ford | -17.06 |
| Franklin | 1.27 |
| Geary | -35.51 |
| Gove | 2.55 |
| Graham | 7.09 |
| Grant | -19.48 |
| Gray | 6.15 |
| Greeley | -34.21 |
| Greenwood | 11.33 |
| Hamilton | -19.47 |
| Harper | 9.11 |
| Harvey | 2.73 |
| Haskell | -22.35 |
| Hodgeman | 3.51 |
| Jackson | 1.21 |
| Jefferson | -1.03 |
| Jewell | -9.95 |
| Johnson | 4.28 |
| Kearny | -14.17 |
| Kingman | 11.89 |
| Kiowa | 2.91 |
| Labette | -5.2 |
| Lane | -0.64 |
| Leavenworth | 5.88 |
| Lincoln | 4.81 |
| Linn | 12.19 |
| Logan | 3.33 |
| Lyon | -0.9 |
| McPherson | 0.83 |
| Marion | 12.83 |
| Marshall | 0.9 |
| Meade | -19.22 |
| Miami | 6.68 |
| Mitchell | 3.66 |
| Montgomery | -2.19 |
| Morris | 7.42 |
| Morton | -22.76 |
| Nemaha | -5.88 |
| Neosho | -8.61 |
| Ness | 9.8 |
| Norton | -7.48 |
| Osage | 2.23 |
| Osborne | 7.18 |
| Ottawa | -1.55 |
| Pawnee | -5.47 |
| Phillips | -1.25 |
| Pottawatomie | 10.97 |
| Pratt | -8.44 |
| Rawlins | -8.27 |
| Reno | 4.76 |
| Republic | 0.21 |
| Rice | 3.52 |
| Riley | -8.14 |
| Rooks | -7.03 |
| Rush | 16.36 |
| Russell | 8.19 |
| Saline | -4.7 |
| Scott | -21.33 |
| Sedgwick | 1.09 |
| Seward | -30.67 |
| Shawnee | -2.93 |
| Sheridan | 1.23 |
| Sherman | -12.03 |
| Smith | 5.88 |
| Stafford | 1 |
| Stanton | -38.38 |
| Stevens | -28.66 |
| Sumner | 6.89 |
| Thomas | -10.85 |
| Trego | -8.31 |
| Wabaunsee | 7.15 |
| Wallace | -16.63 |
| Washington | -2.9 |
| Wichita | -6.73 |
| Wilson | 13.71 |
| Woodson | 20.96 |
| Wyandotte | -13.63 |