About this dataset

Context

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

Key observations

The largest age group in Berkeley, CA was for the group of age 20 to 24 years years with a population of 19,248 (15.86%), according to the ACS 2018-2022 5-Year Estimates. At the same time, the smallest age group in Berkeley, CA was the 85 years and over years with a population of 1,791 (1.48%). 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 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 Berkeley is shown in this column.
• % of Total Population: This column displays the population of each age group as a proportion of Berkeley 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 Berkeley Population by Age. You can refer the same here

Comprehensive demographic dataset for Berkeley, MO, US including population statistics, household income, housing units, education levels, employment data, and transportation with year-over-year changes.

Graph and download economic data for Resident Population in Berkeley County, SC (SCBERK0POP) from 1970 to 2024 about Berkeley County, SC; Charleston; SC; residents; population; and USA.

U.S. Census Bureau QuickFacts statistics for Berkeley city, California. 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.

The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). The MTDB represents a seamless national filewith no overlaps or gaps between parts, however, each TIGER/Line shapefile is designed to stand alone as an independentdata set, or they can be combined to cover the entire nation. Linear Water Features includes single-line drainage water features and artificial path features that run through double-line drainage features such as rivers and streams, and serve as a linear representation of these features. The artificial path features may correspond to those in the USGS National Hydrographic Dataset (NHD). However, in many cases the features do not match NHD equivalent feature and will not carry the NHD metadata codes. These features have a MAF/TIGER Feature Classification Code (MTFCC) beginning with an "H" to indicate the super class of Hydrographic Features.

U.S. Census Bureau QuickFacts statistics for Berkeley township, Ocean County, New Jersey. 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.

Graph and download economic data for Poverty Universe, Age 5-17 related for Berkeley County, WV (PUA5T17RWV54003A647NCEN) from 1998 to 2023 about Berkeley County, WV; Hagerstown; WV; child; poverty; and USA.

About this dataset

Context

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

Content

The dataset constitues the following two datasets across these two themes

• Berkeley, CA Population Breakdown by Gender
• Berkeley, CA 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/.

This resource is a member of a series. The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) System (MTS). The MTS represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line shapefile is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. The All Roads shapefile includes all features within the MTS Super Class "Road/Path Features" distinguished where the MAF/TIGER Feature Classification Code (MTFCC) for the feature in the MTS that begins with "S". This includes all primary, secondary, local neighborhood, and rural roads, city streets, vehicular trails (4wd), ramps, service drives, alleys, parking lot roads, private roads for service vehicles (logging, oil fields, ranches, etc.), bike paths or trails, bridle/horse paths, walkways/pedestrian trails, and stairways.

Graph and download economic data for Estimate of People of All Ages in Poverty in Berkeley County, WV (PEAAWV54003A647NCEN) from 1989 to 2023 about Berkeley County, WV; Hagerstown; WV; child; poverty; persons; and USA.

Comprehensive demographic dataset for South Berkeley, Berkeley, CA, US including population statistics, household income, housing units, education levels, employment data, and transportation with year-over-year changes.

About this dataset

Context

The dataset tabulates the Berkeley 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 Berkeley. 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 4,528 (55.57% 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 Berkeley population analysis. Total expected values are 3 groups ( Children, Working Population and Senior Population).
• Population: The population for the age cohort in Berkeley is shown in the following column.
• Percent of Total Population: The population as a percent of total population of the Berkeley 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 Berkeley 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 Berkeley County, SC (S1701ACS045015) from 2012 to 2023 about Berkeley County, SC; Charleston; SC; poverty; percent; 5-year; population; and USA.

Graph and download economic data for Burdened Households (5-year estimate) in Berkeley County, SC (DP04ACS045015) from 2010 to 2023 about Berkeley County, SC; Charleston; burdened; SC; households; 5-year; and USA.

About this dataset

Context

The dataset tabulates the data for the Berkeley, IL population pyramid, which represents the Berkeley 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 Berkeley, IL, is 31.5.
• Old-age dependency ratio, which is the number of persons aged 65 or over per 100 persons aged 15-64, for Berkeley, IL, is 26.6.
• Total dependency ratio for Berkeley, IL is 58.1.
• Potential support ratio, which is the number of youth (working age population) per elderly, for Berkeley, IL is 3.8.

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 Berkeley population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Berkeley for the selected age group is shown in the following column.
• Population (Female): The female population in the Berkeley for the selected age group is shown in the following column.
• Total Population: The total population of the Berkeley 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 Berkeley Population by Age. You can refer the same here

Graph and download economic data for Net County-to-County Migration Flow (5-year estimate) for Berkeley County, SC (DISCONTINUED) (NETMIGNACS045015) from 2009 to 2020 about Berkeley County, SC; Charleston; migration; flow; SC; Net; 5-year; and population.

Graph and download economic data for Income Inequality in Berkeley County, WV (2020RATIO054003) from 2010 to 2023 about Berkeley County, WV; Hagerstown; inequality; WV; income; and USA.

Graph and download economic data for Single-Parent Households with Children as a Percentage of Households with Children (5-year estimate) in Berkeley County, WV (S1101SPHOUSE054003) from 2009 to 2023 about Berkeley County, WV; Hagerstown; single-parent; WV; households; 5-year; and USA.

About this dataset

Context

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

Key observations

The percent distribution of Berkeley population by race (across all racial categories recognized by the U.S. Census Bureau): 54.80% are white, 7.42% are Black or African American, 0.68% are American Indian and Alaska Native, 20.72% are Asian, 0.15% are Native Hawaiian and other Pacific Islander, 4.96% are some other race and 11.25% 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 Berkeley
• Population: The population of the racial category (excluding ethnicity) in the Berkeley is shown in this column.
• % of Total Population: This column displays the percentage distribution of each race as a proportion of Berkeley 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 Berkeley Population by Race & Ethnicity. You can refer the same here

Graph and download economic data for Population Estimate, Total, Not Hispanic or Latino (5-year estimate) in Berkeley County, SC (B03002002E045015) from 2009 to 2023 about Berkeley County, SC; Charleston; SC; non-hispanic; estimate; 5-year; persons; population; and USA.