Counties in New York by natural change, July to June
Kings County had the highest natural change, July to June of 62 counties in 2015, at 26,189. Warren County had the lowest, at -232. The median was 36 and the figure for New York was 85,447. Source: the U.S. Census Bureau.
Map of counties, 2015
- Under -100
- -100 to 0
- 0 to 100
- 100 to 500
- 500 and over
Top 40 counties, 2015
Full ranking
| Rank | Counties | 2015 | Change on 2014 |
|---|---|---|---|
| 1 | Kings County Estimated | 26,189 | +1.5% |
| 2 | Queens County Estimated | 15,803 | -2.5% |
| 3 | Bronx County Estimated | 12,045 | -0.2% |
| 4 | New York County Estimated | 8,082 | -3.1% |
| 5 | Suffolk County Estimated | 4,043 | +1.5% |
| 6 | Westchester County Estimated | 3,755 | +2.1% |
| 7 | Nassau County Estimated | 3,291 | -10.6% |
| 8 | Rockland County Estimated | 3,164 | +11.3% |
| 9 | Orange County Estimated | 2,216 | +2.1% |
| 10 | Monroe County Estimated | 1,678 | -9.2% |
| 11 | Richmond County Estimated | 1,533 | -14.2% |
| 12 | Jefferson County Estimated | 1,225 | -1% |
| 13 | Onondaga County Estimated | 903 | -8.9% |
| 14 | Albany County Estimated | 504 | -11.6% |
| 15 | Saratoga County Estimated | 478 | -16% |
| 16 | Erie County Estimated | 390 | +0.8% |
| 17 | Dutchess County Estimated | 384 | +59.3% |
| 18 | St. Lawrence County Estimated | 225 | -12.5% |
| 19 | Oswego County Estimated | 170 | -27% |
| 20 | Tompkins County Estimated | 155 | -8.3% |
| 21 | Putnam County Estimated | 144 | -2.7% |
| 22 | Schenectady County Estimated | 134 | -48.3% |
| 23 | Rensselaer County Estimated | 113 | -58.1% |
| 24 | Sullivan County Estimated | 111 | +94.7% |
| 25 | Steuben County Estimated | 99 | +110.6% |
| 25 | Wayne County Estimated | 99 | -13.9% |
| 27 | Clinton County Estimated | 76 | -25.5% |
| 28 | Tioga County Estimated | 75 | -18.5% |
| 29 | Lewis County Estimated | 69 | -33% |
| 30 | Cattaraugus County Estimated | 57 | -62.5% |
| 31 | Cortland County Estimated | 37 | -57% |
| 32 | Genesee County Estimated | 35 | +252.2% |
| 33 | Madison County Estimated | 32 | +10.3% |
| 34 | Chemung County Estimated | 26 | -40.9% |
| 35 | Seneca County Estimated | 15 | -80.8% |
| 36 | Franklin County Estimated | 13 | -83.8% |
| 37 | Montgomery County Estimated | 8 | -72.4% |
| 38 | Wyoming County Estimated | 7 | -79.4% |
| 39 | Yates County Estimated | 6 | -91.2% |
| 40 | Orleans County Estimated | 4 | +130.8% |
| 41 | Allegany County Estimated | -8 | -116.3% |
| 42 | Cayuga County Estimated | -12 | -170.6% |
| 42 | Schuyler County Estimated | -12 | +61.3% |
| 44 | Livingston County Estimated | -23 | -866.7% |
| 45 | Hamilton County Estimated | -25 | +50% |
| 46 | Fulton County Estimated | -27 | +43.8% |
| 47 | Ontario County Estimated | -41 | -210.8% |
| 48 | Washington County Estimated | -44 | -466.7% |
| 49 | Chautauqua County Estimated | -55 | -171.4% |
| 50 | Schoharie County Estimated | -60 | -200% |
| 51 | Chenango County Estimated | -69 | -866.7% |
| 52 | Herkimer County Estimated | -77 | -196.2% |
| 53 | Otsego County Estimated | -84 | -27.3% |
| 54 | Oneida County Estimated | -101 | -143.3% |
| 55 | Essex County Estimated | -116 | -33.3% |
| 56 | Broome County Estimated | -126 | -423.1% |
| 57 | Delaware County Estimated | -129 | +11% |
| 58 | Niagara County Estimated | -148 | +38.6% |
| 59 | Ulster County Estimated | -164 | -182.8% |
| 60 | Greene County Estimated | -192 | -225.4% |
| 61 | Columbia County Estimated | -201 | -26.4% |
| 62 | Warren County Estimated | -232 | -71.9% |
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, 2015) [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, 2015. 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=2015. 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, 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/natural-change-july-june/new-york-counties?period=2015.
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, 2015 [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=2015 (Accessed: 12 October 2026).
BibTeX
@misc{census_counties_in_new_york_2015,
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, 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/natural-change-july-june/new-york-counties?period=2015. 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, 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/natural-change-july-june/new-york-counties?period=2015
Y2 - 2026/10/12
N1 - Accessed via Invokely, https://invokely.ai/rankings/natural-change-july-june/new-york-counties?period=2015.
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=10
Questions
Which county has the highest natural change, July to June?
Kings County, with 26,189 in 2015, according to the U.S. Census Bureau.
Which county has the lowest natural change, July to June?
Warren County, with -232 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: 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.