New York Net Migration By County in 2019
According to the US Census Bureau estimates, in 2019, the net migration for New York was -141,988. Dutchess County had the highest net migration (322) followed by Orange County (274), and Ontario County (213). On the other hand, Kings County had the lowest net migration (-38,145), followed by Queens County (-32,814), and Bronx County (-22,971).
Net migration 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. Or to put it simply, the net migration for a given county is the inbound migration minus the outbound migration for that county.
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 |
|---|---|
| Albany | -2003 |
| Allegany | -368 |
| Bronx | -22971 |
| Broome | -1181 |
| Cattaraugus | -519 |
| Cayuga | -588 |
| Chautauqua | -656 |
| Chemung | -511 |
| Chenango | -148 |
| Clinton | -617 |
| Columbia | -66 |
| Cortland | -341 |
| Delaware | -73 |
| Dutchess | 322 |
| Erie | -1237 |
| Essex | -240 |
| Franklin | -214 |
| Fulton | -221 |
| Genesee | -54 |
| Greene | -71 |
| Hamilton | 23 |
| Herkimer | -287 |
| Jefferson | -2980 |
| Kings | -38145 |
| Lewis | -247 |
| Livingston | -342 |
| Madison | -356 |
| Monroe | -2525 |
| Montgomery | -199 |
| Nassau | -4158 |
| New York | -5279 |
| Niagara | -444 |
| Oneida | -1130 |
| Onondaga | -1973 |
| Ontario | 213 |
| Orange | 274 |
| Orleans | -300 |
| Oswego | -733 |
| Otsego | -367 |
| Putnam | -487 |
| Queens | -32814 |
| Rensselaer | -528 |
| Richmond | -1548 |
| Rockland | -2675 |
| St. Lawrence | -710 |
| Saratoga | -506 |
| Schenectady | -103 |
| Schoharie | -77 |
| Schuyler | -26 |
| Seneca | -128 |
| Steuben | -555 |
| Suffolk | -6120 |
| Sullivan | 30 |
| Tioga | -229 |
| Tompkins | -500 |
| Ulster | -432 |
| Warren | -113 |
| Washington | 0 |
| Wayne | -395 |
| Westchester | -3060 |
| Wyoming | -175 |
| Yates | -125 |