Graph and download economic data for Resident Population in Greenville County, SC (SCGREE5POP) from 1970 to 2024 about Greenville County, SC; Greenville; SC; residents; population; and USA.

About this dataset

Context

The dataset tabulates the Greenville population over the last 20 plus years. It lists the population for each year, along with the year on year change in population, as well as the change in percentage terms for each year. The dataset can be utilized to understand the population change of Greenville across the last two decades. For example, using this dataset, we can identify if the population is declining or increasing. If there is a change, when the population peaked, or if it is still growing and has not reached its peak. We can also compare the trend with the overall trend of United States population over the same period of time.

Key observations

In 2023, the population of Greenville was 72,824, a 0.61% increase year-by-year from 2022. Previously, in 2022, Greenville population was 72,381, an increase of 0.01% compared to a population of 72,377 in 2021. Over the last 20 plus years, between 2000 and 2023, population of Greenville increased by 16,308. In this period, the peak population was 72,824 in the year 2023. The numbers suggest that the population has not reached its peak yet and is showing a trend of further growth. Source: U.S. Census Bureau Population Estimates Program (PEP).

Content

When available, the data consists of estimates from the U.S. Census Bureau Population Estimates Program (PEP).

Data Coverage:

• From 2000 to 2023

Variables / Data Columns

• Year: This column displays the data year (Measured annually and for years 2000 to 2023)
• Population: The population for the specific year for the Greenville is shown in this column.
• Year on Year Change: This column displays the change in Greenville population for each year compared to the previous year.
• Change in Percent: This column displays the year on year change as a percentage. Please note that the sum of all percentages may not equal one due to rounding of values.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Greenville Population by Year. You can refer the same here

About this dataset

Context

The dataset tabulates the Greenville County population by age cohorts (Children: Under 18 years; Working population: 18-64 years; Senior population: 65 years or more). It lists the population in each age cohort group along with its percentage relative to the total population of Greenville County. The dataset can be utilized to understand the population distribution across children, working population and senior population for dependency ratio, housing requirements, ageing, migration patterns etc.

Key observations

The largest age group was 18 to 64 years with a poulation of 321,497 (60.86% of the total population). Source: U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates.

Age cohorts:

• Under 18 years
• 18 to 64 years
• 65 years and over

Variables / Data Columns

• Age Group: This column displays the age cohort for the Greenville County population analysis. Total expected values are 3 groups ( Children, Working Population and Senior Population).
• Population: The population for the age cohort in Greenville County is shown in the following column.
• Percent of Total Population: The population as a percent of total population of the Greenville County is shown in the following column.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Greenville County Population by Age. You can refer the same here

About this dataset

Context

The dataset tabulates the data for the Greenville, SC population pyramid, which represents the Greenville population distribution across age and gender, using estimates from the U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates. It lists the male and female population for each age group, along with the total population for those age groups. Higher numbers at the bottom of the table suggest population growth, whereas higher numbers at the top indicate declining birth rates. Furthermore, the dataset can be utilized to understand the youth dependency ratio, old-age dependency ratio, total dependency ratio, and potential support ratio.

Key observations

• Youth dependency ratio, which is the number of children aged 0-14 per 100 persons aged 15-64, for Greenville, SC, is 21.2.
• Old-age dependency ratio, which is the number of persons aged 65 or over per 100 persons aged 15-64, for Greenville, SC, is 20.6.
• Total dependency ratio for Greenville, SC is 41.8.
• Potential support ratio, which is the number of youth (working age population) per elderly, for Greenville, SC is 4.9.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates.

Age groups:

• Under 5 years
• 5 to 9 years
• 10 to 14 years
• 15 to 19 years
• 20 to 24 years
• 25 to 29 years
• 30 to 34 years
• 35 to 39 years
• 40 to 44 years
• 45 to 49 years
• 50 to 54 years
• 55 to 59 years
• 60 to 64 years
• 65 to 69 years
• 70 to 74 years
• 75 to 79 years
• 80 to 84 years
• 85 years and over

Variables / Data Columns

• Age Group: This column displays the age group for the Greenville population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Greenville for the selected age group is shown in the following column.
• Population (Female): The female population in the Greenville for the selected age group is shown in the following column.
• Total Population: The total population of the Greenville for the selected age group is shown in the following column.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Greenville Population by Age. You can refer the same here

Graph and download economic data for Resident Population in Laurens County, SC (SCLAUR5POP) from 1970 to 2024 about Laurens County, SC; Greenville; SC; residents; population; and USA.

Graph and download economic data for Resident Population in Pickens County, SC (SCPICK0POP) from 1970 to 2024 about Pickens County, SC; Greenville; SC; residents; population; and USA.

A dataset listing South Carolina cities by population for 2024.

A dataset listing South Carolina counties by population for 2024.

Resident Population in Greenville County, SC was 570.74500 Thous. of Persons in January of 2024, according to the United States Federal Reserve. Historically, Resident Population in Greenville County, SC reached a record high of 570.74500 in January of 2024 and a record low of 240.77400 in January of 1970. Trading Economics provides the current actual value, an historical data chart and related indicators for Resident Population in Greenville County, SC - last updated from the United States Federal Reserve on October of 2025.

Based on SC Broadband Office (SCBBO) analysis of FCC Broadband Data Collection (fcc.gov), Jun. 30, 2023 (as of Mar. 19, 2024), submissions that were audited through the SC BEAD Challenge process which concluded on Jun. 30, 2024. The SC BEAD Challenge process relied upon FCC BSL Fabric Jun. 30, 2023, Version 3.2 (pub. Jul. 21, 2023). Satellite and mobile broadband services are excluded. Population and K-12 estimates are derived from residential unit level data based on the FCC BSL fabric. Broadband investment data based on SCBBO actual BSL contract data in the case of state-managed funds (when available) and best-available federal data in the case of FCC and US Department of Agriculture (USDA) managed investments. County-level investments are based upon data provided to the SCBBO. The SCBBO is neither responsible nor liable for damages or injuries caused by failure of performance, error, omission, inaccuracy, inaccessibility, incompleteness or any other errors of this information period or formatting on this slide. This data should be used for general reference purposes only. Additional broadband information regarding South Carolina may be found at www.scdigitaldrive.org. Submit comments or questions to broadband@ors.sc.gov

Graph and download economic data for Employed Persons in Greenville County, SC (LAUCN450450000000005A) from 1990 to 2024 about Greenville County, SC; Greenville; SC; household survey; persons; employment; and USA.

Graph and download economic data for Unemployed Persons in Greenville County, SC (LAUCN450450000000004A) from 1990 to 2024 about Greenville County, SC; Greenville; SC; household survey; persons; unemployment; and USA.

Graph and download economic data for New Private Housing Structures Authorized by Building Permits for Greenville County, SC (BPPRIV045045) from 1990 to 2024 about Greenville County, SC; Greenville; SC; permits; buildings; private; housing; and USA.

Equifax Subprime Credit Population for Greenville County, SC was 25.04% in July of 2025, according to the United States Federal Reserve. Historically, Equifax Subprime Credit Population for Greenville County, SC reached a record high of 40.01 in April of 1999 and a record low of 23.93 in April of 2024. Trading Economics provides the current actual value, an historical data chart and related indicators for Equifax Subprime Credit Population for Greenville County, SC - last updated from the United States Federal Reserve on November of 2025.

About this dataset

Context

The dataset tabulates the population of Greenville County by gender, including both male and female populations. This dataset can be utilized to understand the population distribution of Greenville County across both sexes and to determine which sex constitutes the majority.

Key observations

There is a slight majority of female population, with 51.21% of total population being female. Source: U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates.

Scope of gender :

Please note that American Community Survey asks a question about the respondents current sex, but not about gender, sexual orientation, or sex at birth. The question is intended to capture data for biological sex, not gender. Respondents are supposed to respond with the answer as either of Male or Female. Our research and this dataset mirrors the data reported as Male and Female for gender distribution analysis. No further analysis is done on the data reported from the Census Bureau.

Variables / Data Columns

• Gender: This column displays the Gender (Male / Female)
• Population: The population of the gender in the Greenville County is shown in this column.
• % of Total Population: This column displays the percentage distribution of each gender as a proportion of Greenville County total population. Please note that the sum of all percentages may not equal one due to rounding of values.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Greenville County Population by Race & Ethnicity. You can refer the same here

Graph and download economic data for Employed Persons in Greenville-Anderson-Mauldin, SC (MSA) (LAUMT452486000000005A) from 1990 to 2024 about Greenville, SC, household survey, persons, employment, and USA.

Data presented has been aggregated into 2020 US Census Block unit geographies by the South Carolina Broadband Office (SCBBO). The data represents a generalized overview of state-managed broadband investments made from 2021 to 2024 through competitively awarded grant programs administered by the SCBBO. Note, this map is for general reference only, not all locations within a funded census block were necessarily included in a project. Location-specific details regarding any funded area are tracked at a project level. Additional South Carolina broadband information may be found at https://ors.sc.gov/broadband/office/investments/state or www.scdigitaldrive.org. The SCBBO is neither responsible nor liable for damages or injuries caused by failure of performance, error, omission, inaccuracy, inaccessibility, incompleteness or any other errors of this information period or formatting on this map. Submit comments or questions to broadband@ors.sc.gov

Graph and download economic data for Unemployed Persons in Laurens County, SC (LAUCN450590000000004A) from 1990 to 2024 about Laurens County, SC; Greenville; SC; household survey; persons; unemployment; and USA.

Graph and download economic data for Employed Persons in Pickens County, SC (LAUCN450770000000005A) from 1990 to 2024 about Pickens County, SC; Greenville; SC; household survey; persons; employment; and USA.

About this dataset

Context

The dataset tabulates the Greenville population by year. The dataset can be utilized to understand the population trend of Greenville.

Content

The dataset constitues the following datasets

• Greenville, SC Population Dataset: Yearly Figures, Population Change, and Percent Change Analysis

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.