Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the Columbia 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 Columbia 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 Columbia was 142,416, a 1.96% increase year-by-year from 2022. Previously, in 2022, Columbia population was 139,676, an increase of 2.37% compared to a population of 136,436 in 2021. Over the last 20 plus years, between 2000 and 2023, population of Columbia increased by 24,046. In this period, the peak population was 142,416 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).
When available, the data consists of estimates from the U.S. Census Bureau Population Estimates Program (PEP).
Data Coverage:
Variables / Data Columns
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.
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/.
This dataset is a part of the main dataset for Columbia Population by Year. You can refer the same here
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Chart and table of population level and growth rate for the Columbia, South Carolina metro area from 1950 to 2025.
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Graph and download economic data for Resident Population in Columbia, SC (MSA) (CBAPOP) from 2000 to 2024 about Columbia, SC, residents, population, and USA.
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Graph and download economic data for Percent of Population Below the Poverty Level (5-year estimate) in Kershaw County, SC (S1701ACS045055) from 2012 to 2023 about Kershaw County, SC; Columbia; SC; percent; poverty; 5-year; population; and USA.
Comprehensive demographic and housing statistics for ZIP code 29202 in Columbia, South Carolina.
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Graph and download economic data for Population Estimate, Total (5-year estimate) in Lexington County, SC (B03002001E045063) from 2009 to 2023 about Lexington County, SC; Columbia; SC; estimate; persons; 5-year; population; and USA.
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Graph and download economic data for Population Estimate, Total, Hispanic or Latino, Black or African American Alone (5-year estimate) in Fairfield County, SC (B03002014E045039) from 2009 to 2023 about Fairfield County, SC; Columbia; SC; African-American; latino; hispanic; estimate; persons; 5-year; population; and USA.
Comprehensive demographic and housing statistics for ZIP code 29204 in Columbia, South Carolina.
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Graph and download economic data for Population Estimate, Total, Not Hispanic or Latino, American Indian and Alaska Native Alone (5-year estimate) in Saluda County, SC (B03002005E045081) from 2009 to 2023 about Saluda County, SC; Columbia; Native Alaskan; American Indian; SC; non-hispanic; estimate; persons; 5-year; population; and USA.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Population 25 years and over Poverty Rate Statistics for 2023. This is part of a larger dataset covering poverty in Columbia, South Carolina by age, education, race, gender, work experience and more.
CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
License information was derived automatically
U.S. Census Bureau QuickFacts statistics for Columbia city, South Carolina. QuickFacts data are derived from: Population Estimates, American Community Survey, Census of Population and Housing, Current Population Survey, Small Area Health Insurance Estimates, Small Area Income and Poverty Estimates, State and County Housing Unit Estimates, County Business Patterns, Nonemployer Statistics, Economic Census, Survey of Business Owners, Building Permits.
Comprehensive demographic and housing statistics for ZIP code 29229 in Columbia, South Carolina.
CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
License information was derived automatically
U.S. Census Bureau QuickFacts statistics for West Columbia city, South Carolina. QuickFacts data are derived from: Population Estimates, American Community Survey, Census of Population and Housing, Current Population Survey, Small Area Health Insurance Estimates, Small Area Income and Poverty Estimates, State and County Housing Unit Estimates, County Business Patterns, Nonemployer Statistics, Economic Census, Survey of Business Owners, Building Permits.
https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain
Graph and download economic data for Population Estimate, Total (5-year estimate) in Richland County, SC (B03002001E045079) from 2009 to 2023 about Richland County, SC; Columbia; SC; estimate; persons; 5-year; population; and USA.
https://www.icpsr.umich.edu/web/ICPSR/studies/3020/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/3020/terms
This collection provides 100-percent data from the Census 2000 Dress Rehearsal conducted in 1998 in the following locations: (1) Columbia, South Carolina, and surrounding areas, including the town of Irmo and the counties of Chester, Chesterfield, Darlington, Fairfield, Kershaw, Lancaster, Lee, Marlboro, Newberry, Richland, and Union, (2) Sacramento, California, and (3) Menominee County, Wisconsin, including the Menominee American Indian Reservation. The collection includes data on population, race, Hispanic/Latino origin, age, sex, marital status, family type and presence of own children, household relationship, household type and size, and group quarters. There are 104 population (P) and 42 housing (H) tables that provide data down to the block level. There are 29 additional population tables that provide data down to the census tract level. Also provided are accompanying map files, including Census Block and Census Tract Maps, in two formats, Portable Document Format (PDF) for viewing and Hewlett-Packard Graphics Language (HP-GL) for plotting large-scale maps. The Corner Point files contain the bounding latitude and longitude coordinates for each individual map sheet of the 1998 Dress Rehearsal 100-Percent Summary Files map products.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
This dataset tracks annual hispanic student percentage from 1996 to 2023 for Columbia High School vs. South Carolina and Richland 01 School District
https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain
Graph and download economic data for Population Estimate, Total, Hispanic or Latino, Two or More Races (5-year estimate) in Richland County, SC (B03002019E045079) from 2009 to 2023 about Richland County, SC; Columbia; SC; latino; hispanic; estimate; persons; 5-year; population; and USA.
Comprehensive demographic and housing statistics for ZIP code 29221 in Columbia, South Carolina.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
This dataset tracks annual reading and language arts proficiency from 2011 to 2022 for Columbia High School vs. South Carolina and Richland 01 School District
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Did not work Poverty Rate Statistics for 2022. This is part of a larger dataset covering poverty in West Columbia, South Carolina by age, education, race, gender, work experience and more.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the Columbia 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 Columbia 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 Columbia was 142,416, a 1.96% increase year-by-year from 2022. Previously, in 2022, Columbia population was 139,676, an increase of 2.37% compared to a population of 136,436 in 2021. Over the last 20 plus years, between 2000 and 2023, population of Columbia increased by 24,046. In this period, the peak population was 142,416 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).
When available, the data consists of estimates from the U.S. Census Bureau Population Estimates Program (PEP).
Data Coverage:
Variables / Data Columns
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.
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/.
This dataset is a part of the main dataset for Columbia Population by Year. You can refer the same here