Counties in South Carolina by natural change, July to June
Charleston County had the highest natural change, July to June of 46 counties in 2022, at 1,303. Horry County had the lowest, at -2,075. The median was -175 and the figure for South Carolina was -7,151. Source: the U.S. Census Bureau.
Map of counties, 2022
- Under -250
- -250 to -150
- -150 to 0
- 0 to 420
- 420 to 650
- 650 and over
All counties, 2022
Full ranking
| Rank | Counties | 2022 | Change on 2021 |
|---|---|---|---|
| 1 | Charleston County Estimated | 1,303 | +46.7% |
| 2 | Berkeley County Estimated | 782 | +15.2% |
| 3 | Greenville County Estimated | 650 | +9.6% |
| 4 | Richland County Estimated | 550 | -14.1% |
| 5 | Dorchester County Estimated | 422 | +15.9% |
| 6 | York County Estimated | 163 | +503.7% |
| 7 | Lexington County Estimated | 34 | -5.6% |
| 8 | Jasper County Estimated | -36 | -427.3% |
| 9 | Saluda County Estimated | -55 | +32.1% |
| 10 | Allendale County Estimated | -71 | +20.2% |
| 11 | Sumter County Estimated | -78 | +47.3% |
| 12 | Barnwell County Estimated | -79 | -8.2% |
| 13 | Bamberg County Estimated | -107 | +19.5% |
| 14 | Calhoun County Estimated | -113 | +5.8% |
| 15 | Dillon County Estimated | -114 | +22.4% |
| 15 | McCormick County Estimated | -114 | +16.8% |
| 17 | Lee County Estimated | -116 | +22.7% |
| 18 | Hampton County Estimated | -120 | -34.8% |
| 19 | Lancaster County Estimated | -126 | +25.4% |
| 20 | Spartanburg County Estimated | -146 | +70.1% |
| 21 | Newberry County Estimated | -148 | +24.1% |
| 22 | Abbeville County Estimated | -167 | +11.2% |
| 23 | Marion County Estimated | -172 | +16.9% |
| 24 | Marlboro County Estimated | -178 | +10.6% |
| 25 | Edgefield County Estimated | -187 | +5.1% |
| 26 | Chesterfield County Estimated | -200 | +13.4% |
| 27 | Kershaw County Estimated | -203 | 0% |
| 28 | Fairfield County Estimated | -207 | +0.5% |
| 29 | Greenwood County Estimated | -224 | +21.1% |
| 30 | Cherokee County Estimated | -241 | -25.5% |
| 31 | Clarendon County Estimated | -242 | +11% |
| 32 | Chester County Estimated | -251 | -28.1% |
| 32 | Williamsburg County Estimated | -251 | +11.3% |
| 34 | Colleton County Estimated | -253 | -7.7% |
| 35 | Union County Estimated | -270 | -16.4% |
| 36 | Laurens County Estimated | -281 | +23.4% |
| 37 | Beaufort County Estimated | -328 | -43.2% |
| 38 | Florence County Estimated | -360 | +36.3% |
| 39 | Darlington County Estimated | -363 | -6.8% |
| 40 | Pickens County Estimated | -437 | +25.3% |
| 41 | Aiken County Estimated | -501 | +12.7% |
| 42 | Georgetown County Estimated | -503 | +22.1% |
| 43 | Oconee County Estimated | -549 | -10% |
| 44 | Orangeburg County Estimated | -586 | -1% |
| 45 | Anderson County Estimated | -603 | +29.6% |
| 46 | Horry County Estimated | -2,075 | -2.8% |
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 South Carolina by natural change, July to June, 2022) [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 South Carolina by natural change, July to June, 2022. 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/south-carolina-counties?period=2022. 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 South Carolina by natural change, July to June, 2022. 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/south-carolina-counties?period=2022.
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 South Carolina by natural change, July to June, 2022 [Dataset]. Available at: https://www.census.gov/programs-surveys/popest/data/data-sets.html, via Invokely: https://invokely.ai/rankings/natural-change-july-june/south-carolina-counties?period=2022 (Accessed: 12 October 2026).
BibTeX
@misc{census_counties_in_south_carolina_2022,
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 South Carolina by natural change, July to June, 2022}},
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/south-carolina-counties?period=2022. 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 South Carolina by natural change, July to June, 2022
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/south-carolina-counties?period=2022
Y2 - 2026/10/12
N1 - Accessed via Invokely, https://invokely.ai/rankings/natural-change-july-june/south-carolina-counties?period=2022.
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
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Rank Counties in South Carolina by natural change, July to June using official data, and cite the source.
rank_places {"indicator":"natural_change_july_june","level":"province","within":"South Carolina","limit":10}
GET https://invokely.ai/api/v1/rank?indicator=natural_change_july_june&level=province&within=South%20Carolina&limit=10
Questions
Which county has the highest natural change, July to June?
Charleston County, with 1,303 in 2022, according to the U.S. Census Bureau.
Which county has the lowest natural change, July to June?
Horry County, with -2,075 in 2022.
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.
Natural change, July to June: other rankings
Counties in South Carolina: more rankings
- Population
- Asian population share
- Bachelor's degree or higher, population 25 and over
- Crude birth rate, July to June
- Uninsured rate, under 65 (US model-based estimate)
- Binge drinking in adults, local model estimate
- High cholesterol in screened adults, local model estimate
- Uninsured rate, under 19 (US model-based estimate)