Counties in New York by natural change, July to June
Kings County had the highest natural change, July to June of 62 counties in 2014, at 25,793. Niagara County had the lowest, at -241. The median was 79 and the figure for New York was 88,170. Source: the U.S. Census Bureau.
Map of counties, 2014
- Under -100
- -100 to 0
- 0 to 100
- 100 to 300
- 300 and over
Top 40 counties, 2014
Full ranking
| Rank | Counties | 2014 | Change on 2013 |
|---|---|---|---|
| 1 | Kings County Estimated | 25,793 | -2.6% |
| 2 | Queens County Estimated | 16,210 | -1.4% |
| 3 | Bronx County Estimated | 12,067 | -0.5% |
| 4 | New York County Estimated | 8,344 | -8.6% |
| 5 | Suffolk County Estimated | 3,982 | +8.2% |
| 6 | Nassau County Estimated | 3,683 | +53.5% |
| 7 | Westchester County Estimated | 3,679 | +10.8% |
| 8 | Rockland County Estimated | 2,844 | +15.3% |
| 9 | Orange County Estimated | 2,171 | +6.6% |
| 10 | Monroe County Estimated | 1,849 | -9.2% |
| 11 | Richmond County Estimated | 1,786 | +3.4% |
| 12 | Jefferson County Estimated | 1,237 | -10.8% |
| 13 | Onondaga County Estimated | 991 | -17.6% |
| 14 | Albany County Estimated | 570 | +5.8% |
| 15 | Saratoga County Estimated | 569 | +8% |
| 16 | Erie County Estimated | 387 | +121.1% |
| 17 | Rensselaer County Estimated | 270 | +128.8% |
| 18 | Schenectady County Estimated | 259 | -5.5% |
| 19 | St. Lawrence County Estimated | 257 | +0.4% |
| 20 | Dutchess County Estimated | 241 | -29.1% |
| 21 | Oneida County Estimated | 233 | +513.2% |
| 21 | Oswego County Estimated | 233 | +8.9% |
| 23 | Tompkins County Estimated | 169 | -29.6% |
| 24 | Cattaraugus County Estimated | 152 | +49% |
| 25 | Putnam County Estimated | 148 | +25.4% |
| 26 | Wayne County Estimated | 115 | -17.9% |
| 27 | Lewis County Estimated | 103 | +4% |
| 28 | Clinton County Estimated | 102 | +1,940% |
| 29 | Tioga County Estimated | 92 | -17.1% |
| 30 | Cortland County Estimated | 86 | +326.3% |
| 31 | Franklin County Estimated | 80 | -29.2% |
| 32 | Seneca County Estimated | 78 | +212% |
| 33 | Chautauqua County Estimated | 77 | +650% |
| 34 | Yates County Estimated | 68 | +25.9% |
| 35 | Sullivan County Estimated | 57 | -68.7% |
| 36 | Allegany County Estimated | 49 | +444.4% |
| 37 | Steuben County Estimated | 47 | -72.5% |
| 38 | Chemung County Estimated | 44 | -55.6% |
| 39 | Broome County Estimated | 39 | +138.6% |
| 40 | Ontario County Estimated | 37 | +236.4% |
| 41 | Wyoming County Estimated | 34 | +288.9% |
| 42 | Madison County Estimated | 29 | -70.4% |
| 42 | Montgomery County Estimated | 29 | +185.3% |
| 44 | Cayuga County Estimated | 17 | -19% |
| 45 | Washington County Estimated | 12 | +33.3% |
| 46 | Chenango County Estimated | 9 | +181.8% |
| 47 | Livingston County Estimated | 3 | +115% |
| 48 | Orleans County Estimated | -13 | +13.3% |
| 49 | Schoharie County Estimated | -20 | +20% |
| 50 | Genesee County Estimated | -23 | +64.6% |
| 51 | Herkimer County Estimated | -26 | +31.6% |
| 52 | Schuyler County Estimated | -31 | -24% |
| 53 | Fulton County Estimated | -48 | +60% |
| 54 | Hamilton County Estimated | -50 | -117.4% |
| 55 | Ulster County Estimated | -58 | -152.2% |
| 56 | Greene County Estimated | -59 | -59.5% |
| 57 | Otsego County Estimated | -66 | -50% |
| 58 | Essex County Estimated | -87 | +25% |
| 59 | Warren County Estimated | -135 | -309.1% |
| 60 | Delaware County Estimated | -145 | +13.2% |
| 61 | Columbia County Estimated | -159 | -48.6% |
| 62 | Niagara County Estimated | -241 | -91.3% |
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, 2014) [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, 2014. 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=2014. 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, 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/natural-change-july-june/new-york-counties?period=2014.
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, 2014 [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=2014 (Accessed: 12 October 2026).
BibTeX
@misc{census_counties_in_new_york_2014,
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, 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/natural-change-july-june/new-york-counties?period=2014. 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, 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/natural-change-july-june/new-york-counties?period=2014
Y2 - 2026/10/12
N1 - Accessed via Invokely, https://invokely.ai/rankings/natural-change-july-june/new-york-counties?period=2014.
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 25,793 in 2014, according to the U.S. Census Bureau.
Which county has the lowest natural change, July to June?
Niagara County, with -241 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: 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.