About this dataset

Context

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

Key observations

There is a slight majority of female population, with 50.55% 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 Columbia is shown in this column.
• % of Total Population: This column displays the percentage distribution of each gender 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 Race & Ethnicity. You can refer the same here

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

About this dataset

Context

The dataset tabulates the data for the West Columbia, SC population pyramid, which represents the West 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 West Columbia, SC, is 24.2.
• Old-age dependency ratio, which is the number of persons aged 65 or over per 100 persons aged 15-64, for West Columbia, SC, is 30.5.
• Total dependency ratio for West Columbia, SC is 54.7.
• Potential support ratio, which is the number of youth (working age population) per elderly, for West Columbia, SC is 3.3.

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 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 for the selected age group is shown in the following column.
• Population (Female): The female population in the West Columbia for the selected age group is shown in the following column.
• Total Population: The total population of the West 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 West Columbia Population by Age. You can refer the same here

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

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.

Graph and download economic data for Equifax Subprime Credit Population for Kershaw County, SC (EQFXSUBPRIME045055) from Q2 2014 to Q1 2025 about Kershaw County, SC; Columbia; subprime; SC; population; and USA.

About this dataset

Context

The dataset tabulates the West 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 West Columbia. The dataset can be utilized to understand the population distribution of West Columbia by age. For example, using this dataset, we can identify the largest age group in West Columbia.

Key observations

The largest age group in West Columbia, SC was for the group of age 20 to 24 years years with a population of 1,812 (10.22%), according to the ACS 2019-2023 5-Year Estimates. At the same time, the smallest age group in West Columbia, SC was the 80 to 84 years years with a population of 281 (1.59%). 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 West Columbia is shown in this column.
• % of Total Population: This column displays the population of each age group 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 Age. You can refer the same here

Graph and download economic data for Equifax Subprime Credit Population for Lexington County, SC (EQFXSUBPRIME045063) from Q2 2014 to Q1 2025 about Lexington County, SC; Columbia; subprime; SC; population; and USA.

About this dataset

Context

The dataset tabulates the Columbia 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 Columbia. 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 99,255 (71.91% of the total population). 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 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 Columbia population analysis. Total expected values are 3 groups ( Children, Working Population and Senior Population).
• Population: The population for the age cohort in Columbia is shown in the following column.
• Percent of Total Population: The population as a percent of total population of the Columbia 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 Equifax Subprime Credit Population for Richland County, SC (EQFXSUBPRIME045079) from Q2 2014 to Q1 2025 about Richland County, SC; Columbia; subprime; SC; population; and USA.

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

A dataset listing South Carolina counties by population for 2024.

Graph and download economic data for Employed Persons in Lexington County, SC (LAUCN450630000000005) from Jan 1990 to May 2025 about Lexington County, SC; Columbia; SC; household survey; employment; persons; and USA.

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

Graph and download economic data for Equifax Subprime Credit Population for Calhoun County, SC (EQFXSUBPRIME045017) from Q2 2014 to Q1 2025 about Calhoun County, SC; Columbia; subprime; SC; population; and USA.

About this dataset

Context

The dataset tabulates the population of Columbia by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for Columbia. The dataset can be utilized to understand the population distribution of Columbia by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in 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 Columbia.

Key observations

Largest age group (population): Male # 20-24 years (10,866) | Female # 20-24 years (10,311). 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 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 is shown in the following column.
• Population (Female): The female population in the 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 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 Columbia Population by Gender. You can refer the same here

Graph and download economic data for Equifax Subprime Credit Population for Fairfield County, SC (EQFXSUBPRIME045039) from Q2 2014 to Q1 2025 about Fairfield County, SC; Columbia; subprime; SC; population; and USA.

Graph and download economic data for Employed Persons in Fairfield County, SC (LAUCN450390000000005) from Jan 1990 to Jun 2025 about Fairfield County, SC; Columbia; SC; household survey; employment; persons; and USA.

About this dataset

Context

The dataset tabulates the population of Columbia by race. It includes the population of Columbia across racial categories (excluding ethnicity) as identified by the Census Bureau. The dataset can be utilized to understand the population distribution of Columbia across relevant racial categories.

Key observations

The percent distribution of Columbia population by race (across all racial categories recognized by the U.S. Census Bureau): 49.86% are white, 39.54% are Black or African American, 0.15% are American Indian and Alaska Native, 2.67% are Asian, 0.21% are Native Hawaiian and other Pacific Islander, 1.66% are some other race and 5.91% are multiracial.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Racial categories include:

• White
• Black or African American
• American Indian and Alaska Native
• Asian
• Native Hawaiian and Other Pacific Islander
• Some other race
• Two or more races (multiracial)

Variables / Data Columns

• Race: This column displays the racial categories (excluding ethnicity) for the Columbia
• Population: The population of the racial category (excluding ethnicity) in the Columbia is shown in this column.
• % of Total Population: This column displays the percentage distribution of each race 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 Race & Ethnicity. You can refer the same here

About this dataset

Context

The dataset tabulates the West Columbia 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 West Columbia. 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 11,118 (62.73% of the total population). 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 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 West Columbia population analysis. Total expected values are 3 groups ( Children, Working Population and Senior Population).
• Population: The population for the age cohort in West Columbia is shown in the following column.
• Percent of Total Population: The population as a percent of total population of the West Columbia 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 West Columbia Population by Age. You can refer the same here