Counties in New York by natural change, July to June
Kings County had the highest natural change, July to June of 62 counties in 2019, at 20,533. Broome County had the lowest, at -308. The median was -2 and the figure for New York was 61,220. Source: the U.S. Census Bureau.
Map of counties, 2019
- Under -100
- -100 to 0
- 0 to 100
- 100 to 1,000
- 1,000 and over
Top 40 counties, 2019
Full ranking
| Rank | Counties | 2019 | Change on 2018 |
|---|---|---|---|
| 1 | Kings County Estimated | 20,533 | -10.8% |
| 2 | Queens County Estimated | 11,563 | -18.8% |
| 3 | Bronx County Estimated | 8,890 | -17.6% |
| 4 | New York County Estimated | 5,279 | -25.3% |
| 5 | Rockland County Estimated | 3,365 | +1.6% |
| 6 | Nassau County Estimated | 2,814 | -13.1% |
| 7 | Westchester County Estimated | 2,578 | -12.7% |
| 8 | Orange County Estimated | 2,269 | +1.7% |
| 9 | Suffolk County Estimated | 2,131 | -32.7% |
| 10 | Richmond County Estimated | 1,150 | -25.7% |
| 11 | Onondaga County Estimated | 942 | +5.8% |
| 12 | Monroe County Estimated | 873 | -25.3% |
| 13 | Jefferson County Estimated | 867 | -11.2% |
| 14 | Schenectady County Estimated | 313 | +24.2% |
| 15 | Oswego County Estimated | 143 | +93.2% |
| 16 | Sullivan County Estimated | 141 | +101.4% |
| 17 | Putnam County Estimated | 126 | -11.9% |
| 18 | Wayne County Estimated | 102 | +209.1% |
| 19 | Erie County Estimated | 89 | +387.1% |
| 20 | Tompkins County Estimated | 84 | +863.6% |
| 21 | Lewis County Estimated | 72 | +22% |
| 22 | Yates County Estimated | 69 | +130% |
| 23 | Albany County Estimated | 59 | -50% |
| 24 | Rensselaer County Estimated | 53 | -24.3% |
| 25 | Montgomery County Estimated | 51 | +104% |
| 26 | Madison County Estimated | 49 | -47.3% |
| 27 | Seneca County Estimated | 41 | +373.3% |
| 28 | Cortland County Estimated | 30 | +330.8% |
| 29 | Saratoga County Estimated | 10 | -67.7% |
| 30 | Steuben County Estimated | 6 | +112.2% |
| 31 | Cattaraugus County Estimated | -1 | +98.4% |
| 32 | Allegany County Estimated | -3 | +94% |
| 33 | Schuyler County Estimated | -5 | +91.1% |
| 34 | Franklin County Estimated | -10 | +63% |
| 35 | Clinton County Estimated | -30 | -287.5% |
| 36 | Wyoming County Estimated | -35 | -45.8% |
| 37 | Hamilton County Estimated | -37 | +35.1% |
| 38 | Genesee County Estimated | -42 | +49.4% |
| 39 | Livingston County Estimated | -48 | +60.3% |
| 40 | Schoharie County Estimated | -53 | -253.3% |
| 41 | Orleans County Estimated | -57 | -29.5% |
| 42 | St. Lawrence County Estimated | -60 | -166.7% |
| 43 | Oneida County Estimated | -65 | -254.8% |
| 43 | Tioga County Estimated | -65 | -712.5% |
| 45 | Essex County Estimated | -81 | +36.7% |
| 46 | Cayuga County Estimated | -83 | -232% |
| 47 | Fulton County Estimated | -97 | -49.2% |
| 48 | Otsego County Estimated | -113 | +40.5% |
| 49 | Herkimer County Estimated | -116 | -33.3% |
| 50 | Chemung County Estimated | -120 | -2.6% |
| 50 | Chenango County Estimated | -120 | +10.4% |
| 50 | Greene County Estimated | -120 | +16.1% |
| 53 | Ulster County Estimated | -149 | +45% |
| 54 | Washington County Estimated | -167 | -62.1% |
| 55 | Warren County Estimated | -176 | -28.5% |
| 56 | Ontario County Estimated | -190 | -206.5% |
| 57 | Delaware County Estimated | -195 | -23.4% |
| 58 | Dutchess County Estimated | -201 | -548.4% |
| 59 | Columbia County Estimated | -203 | +14.3% |
| 60 | Chautauqua County Estimated | -227 | +5.8% |
| 61 | Niagara County Estimated | -295 | -8.9% |
| 62 | Broome County Estimated | -308 | -148.4% |
Other periods
About this ranking
Estimated births minus deaths of residents from July 1 of the previous year through June 30 of the reported year. A negative value means more deaths than births.
Equals births_july_june minus deaths_july_june for the same place and year. Not a calendar-year figure.
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: natural change (births minus deaths), 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: natural change (births minus deaths), 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 New York by natural change, July to June, 2019) [Data set]. Retrieved October 12, 2026, from https://www.census.gov/programs-surveys/popest/data/data-sets.html
MLA 9
Population Estimates Program: natural change (births minus deaths), 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 New York by natural change, July to June, 2019. U.S. Census Bureau, 26 Mar. 2026, https://www.census.gov/programs-surveys/popest/data/data-sets.html. Invokely, https://invokely.ai/rankings/natural-change-july-june/new-york-counties?period=2019. Accessed 12 Oct. 2026.
Chicago (author-date)
U.S. Census Bureau. 2026. Population Estimates Program: natural change (births minus deaths), 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 New York by natural change, July to June, 2019. Dataset. Accessed October 12, 2026. https://www.census.gov/programs-surveys/popest/data/data-sets.html. Also distributed by Invokely, https://invokely.ai/rankings/natural-change-july-june/new-york-counties?period=2019.
Harvard
U.S. Census Bureau (2026) Population Estimates Program: natural change (births minus deaths), 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 New York by natural change, July to June, 2019 [Dataset]. Available at: https://www.census.gov/programs-surveys/popest/data/data-sets.html, via Invokely: https://invokely.ai/rankings/natural-change-july-june/new-york-counties?period=2019 (Accessed: 12 October 2026).
BibTeX
@misc{census_counties_in_new_york_2019,
author = {{U.S. Census Bureau}},
title = {{Population Estimates Program: natural change (births minus deaths), 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 New York by natural change, July to June, 2019}},
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/natural-change-july-june/new-york-counties?period=2019. Publisher attribution: U.S. Census Bureau. Population Estimates Program: natural change (births minus deaths), 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: natural change (births minus deaths), 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 New York by natural change, July to June, 2019
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/natural-change-july-june/new-york-counties?period=2019
Y2 - 2026/10/12
N1 - Accessed via Invokely, https://invokely.ai/rankings/natural-change-july-june/new-york-counties?period=2019.
N1 - Publisher attribution: U.S. Census Bureau. Population Estimates Program: natural change (births minus deaths), 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 New York by natural change, July to June using official data, and cite the source.
rank_places {"indicator":"natural_change_july_june","level":"province","within":"New York","limit":10}
GET https://invokely.ai/api/v1/rank?indicator=natural_change_july_june&level=province&within=New%20York&limit=10Questions
Which county has the highest natural change, July to June?
Kings County, with 20,533 in 2019, according to the U.S. Census Bureau.
Which county has the lowest natural change, July to June?
Broome County, with -308 in 2019.
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: natural change (births minus deaths), 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.