About this dataset

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).

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 Columbia is shown in this column.
• Year on Year Change: This column displays the change in Columbia 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 Columbia Population by Year. You can refer the same here

About this dataset

Context

The dataset tabulates the Columbia population by age. The dataset can be utilized to understand the age distribution and demographics of Columbia.

Content

The dataset constitues the following three datasets

• Columbia, SC Age Group Population Dataset: A complete breakdown of Columbia age demographics from 0 to 85 years, distributed across 18 age groups
• Columbia, SC Age Cohorts Dataset: Children, Working Adults, and Seniors in Columbia - Population and Percentage Analysis
• Columbia, SC Population Pyramid Dataset: Age Groups, Male and Female Population, and Total Population for Demographics 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/.

Graph and download economic data for Resident Population in Columbia, SC (MSA) (CBAPOP) from 2000 to 2024 about Columbia, SC, residents, population, and USA.

About this dataset

Context

The dataset tabulates the West 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 West 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 West Columbia was 18,316, a 3.42% increase year-by-year from 2022. Previously, in 2022, West Columbia population was 17,711, an increase of 0.36% compared to a population of 17,647 in 2021. Over the last 20 plus years, between 2000 and 2023, population of West Columbia increased by 4,674. In this period, the peak population was 18,316 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 West Columbia is shown in this column.
• Year on Year Change: This column displays the change in West Columbia 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 West Columbia Population by Year. You can refer the same here

Chart and table of population level and growth rate for the Columbia, South Carolina metro area from 1950 to 2025.

About this dataset

Context

The dataset tabulates the data for the Columbia, SC population pyramid, which represents the Columbia population distribution across age and gender, using estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 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 Columbia, SC, is 18.6.
• Old-age dependency ratio, which is the number of persons aged 65 or over per 100 persons aged 15-64, for Columbia, SC, is 14.7.
• Total dependency ratio for Columbia, SC is 33.2.
• Potential support ratio, which is the number of youth (working age population) per elderly, for Columbia, SC is 6.8.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 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 Columbia population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Columbia for the selected age group is shown in the following column.
• Population (Female): The female population in the Columbia for the selected age group is shown in the following column.
• Total Population: The total population of the Columbia 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 Columbia Population by Age. You can refer the same here

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.

Graph and download economic data for Population Estimate, Total, Not Hispanic or Latino, American Indian and Alaska Native Alone (5-year estimate) in Fairfield County, SC (B03002005E045039) from 2009 to 2023 about Fairfield County, SC; Columbia; Native Alaskan; American Indian; SC; non-hispanic; estimate; persons; 5-year; population; and USA.

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.

Graph and download economic data for Population Estimate, Total, Hispanic or Latino, Asian Alone (5-year estimate) in Saluda County, SC (B03002016E045081) from 2009 to 2023 about Saluda County, SC; Columbia; asian; SC; latino; hispanic; estimate; persons; 5-year; population; and USA.

About this dataset

Context

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

Key observations

There is a majority of female population, with 55.48% of total population being female. Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 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 West Columbia is shown in this column.
• % of Total Population: This column displays the percentage distribution of each gender as a proportion of West Columbia 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 West Columbia Population by Race & Ethnicity. You can refer the same here

Graph and download economic data for Population Estimate, Total, Hispanic or Latino, Some Other Race Alone (5-year estimate) in Richland County, SC (B03002018E045079) from 2009 to 2023 about Richland County, SC; Columbia; SC; latino; hispanic; estimate; persons; 5-year; population; and USA.

Graph and download economic data for Population Estimate, Total, Not Hispanic or Latino (5-year estimate) in Richland County, SC (B03002002E045079) from 2009 to 2023 about Richland County, SC; Columbia; SC; non-hispanic; estimate; persons; 5-year; population; and USA.

The table SC- Demographic Data is part of the dataset Demographic Data, available at https://columbia.redivis.com/datasets/fh74-90v3ge9m2. It contains 3403082 rows across 699 variables.

About this dataset

Context

The dataset tabulates the population of West Columbia by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for West Columbia. The dataset can be utilized to understand the population distribution of West Columbia by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in West Columbia. Additionally, it can be used to see how the gender ratio changes from birth to senior most age group and male to female ratio across each age group for West Columbia.

Key observations

Largest age group (population): Male # 25-29 years (757) | Female # 20-24 years (1,063). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 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

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.

Variables / Data Columns

• Age Group: This column displays the age group for the West Columbia population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the West Columbia is shown in the following column.
• Population (Female): The female population in the West Columbia is shown in the following column.
• Gender Ratio: Also known as the sex ratio, this column displays the number of males per 100 females in West Columbia for each age group.

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 West Columbia Population by Gender. You can refer the same here

About this dataset

Context

The dataset tabulates the Columbia population distribution across 18 age groups. It lists the population in each age group along with the percentage population relative of the total population for Columbia. The dataset can be utilized to understand the population distribution of Columbia by age. For example, using this dataset, we can identify the largest age group in Columbia.

Key observations

The largest age group in Columbia, SC was for the group of age 20 to 24 years years with a population of 21,177 (15.34%), according to the ACS 2019-2023 5-Year Estimates. At the same time, the smallest age group in Columbia, SC was the 85 years and over years with a population of 1,437 (1.04%). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 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 in consideration
• Population: The population for the specific age group in the Columbia is shown in this column.
• % of Total Population: This column displays the population of each age group as a proportion of Columbia 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 Columbia Population by Age. You can refer the same here

Resident Population in Columbia, SC (MSA) was 870.19300 Thous. of Persons in January of 2024, according to the United States Federal Reserve. Historically, Resident Population in Columbia, SC (MSA) reached a record high of 870.19300 in January of 2024 and a record low of 649.18100 in January of 2000. Trading Economics provides the current actual value, an historical data chart and related indicators for Resident Population in Columbia, SC (MSA) - last updated from the United States Federal Reserve on July of 2025.

About this dataset

Context

The dataset tabulates the Columbia population by gender and age. The dataset can be utilized to understand the gender distribution and demographics of Columbia.

Content

The dataset constitues the following two datasets across these two themes

• Columbia, SC Population Breakdown by Gender
• Columbia, SC Population Breakdown by Gender and Age

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/.

Graph and download economic data for Population Estimate, Total (5-year estimate) in Fairfield County, SC (B03002001E045039) from 2009 to 2023 about Fairfield County, SC; Columbia; SC; estimate; persons; 5-year; population; and USA.

Population 26 years and over Health Insurance Coverage Statistics for 2023. This is part of a larger dataset covering consumer health insurance coverage rates in Columbia, South Carolina by age, education, race, gender, work experience and more.