About this dataset

Context

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

Key observations

Largest age group (population): Male # 55-59 years (320,812) | Female # 55-59 years (329,001). 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 New Jersey population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the New Jersey is shown in the following column.
• Population (Female): The female population in the New Jersey 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 New Jersey 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 New Jersey Population by Gender. You can refer the same here

This data set provides a list of authoritative names and codes for the municipalities of New Jersey from State and Federal government agencies.

Graph and download economic data for Labor Force Participation Rate for New Jersey (LBSSA34) from Jan 1976 to Dec 2025 about participation, NJ, labor force, labor, rate, and USA.

The New Jersey Department of Health's State Health Assessment Data (NJSHAD) System provides access to public health datasets, statistics, and information on the health status of New Jerseyans.

About this dataset

Context

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

Key observations

The percent distribution of New Jersey population by race (across all racial categories recognized by the U.S. Census Bureau): 56.93% are white, 12.96% are Black or African American, 0.45% are American Indian and Alaska Native, 9.91% are Asian, 0.03% are Native Hawaiian and other Pacific Islander, 9.15% are some other race and 10.56% 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 New Jersey
• Population: The population of the racial category (excluding ethnicity) in the New Jersey is shown in this column.
• % of Total Population: This column displays the percentage distribution of each race as a proportion of New Jersey 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 New Jersey Population by Race & Ethnicity. You can refer the same here

About this dataset

Context

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

Key observations

There is a slight majority of female population, with 50.24% 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 Piscataway township is shown in this column.
• % of Total Population: This column displays the percentage distribution of each gender as a proportion of Piscataway township 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 Piscataway township Population by Race & Ethnicity. You can refer the same here

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. Census tracts are small, relatively permanent statistical subdivisions of a county or equivalent entity and were defined by local participants as part of the 2020 Census Participant Statistical Areas Program. The Census Bureau delineated the census tracts in situations where no local participant existed or where all the potential participants declined to participate. The primary purpose of census tracts is to provide a stable set of geographic units for the presentation of census data and comparison back to previous decennial censuses. Census tracts generally have a population size between 1,200 and 8,000 people, with an optimum size of 4,000 people. When first delineated, census tracts were designed to be homogeneous with respect to population characteristics, economic status, and living conditions. The spatial size of census tracts varies widely depending on the density of settlement. Physical changes in street patterns caused by highway construction, new development, and so forth, may require boundary revisions. In addition, census tracts occasionally are split due to population growth, or combined because of substantial population decline. Census tract boundaries generally follow visible and identifiable features. They may follow legal boundaries such as minor civil division or incorporated place boundaries in some states and situations to allow for census tract-to-governmental unit relationships where the governmental boundaries tend to remain unchanged between censuses. State and county boundaries always are census tract boundaries in the standard Census Bureau geographic hierarchy. In a few rare instances, a census tract may consist of noncontiguous areas. These noncontiguous areas may occur where the census tracts are coextensive with all or parts of legal entities that are themselves noncontiguous.

About this dataset

Context

The dataset tabulates the data for the New Jersey population pyramid, which represents the New Jersey 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 New Jersey, is 27.6.
• Old-age dependency ratio, which is the number of persons aged 65 or over per 100 persons aged 15-64, for New Jersey, is 25.8.
• Total dependency ratio for New Jersey is 53.5.
• Potential support ratio, which is the number of youth (working age population) per elderly, for New Jersey is 3.9.

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

Comprehensive demographic dataset for New Jersey, 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 Unemployment Rate in New Jersey (NJURN) from Jan 1976 to Dec 2025 about NJ, unemployment, rate, and USA.

Resident Population in New Jersey was 9548.21500 Thous. of Persons in January of 2025, according to the United States Federal Reserve. Historically, Resident Population in New Jersey reached a record high of 9548.21500 in January of 2025 and a record low of 1884.00000 in January of 1900. Trading Economics provides the current actual value, an historical data chart and related indicators for Resident Population in New Jersey - last updated from the United States Federal Reserve on March of 2026.

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 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. Census Blocks are statistical areas bounded on all sides by visible features, such as streets, roads, streams, and railroad tracks, and/or by nonvisible boundaries such as city, town, township, and county limits, and short line-of-sight extensions of streets and roads. Census blocks are relatively small in area; for example, a block in a city bounded by streets. However, census blocks in remote areas are often large and irregular and may even be many square miles in area. A common misunderstanding is that data users think census blocks are used geographically to build all other census geographic areas, rather all other census geographic areas are updated and then used as the primary constraints, along with roads and water features, to delineate the tabulation blocks. As a result, all 2020 Census blocks nest within every other 2020 Census geographic area, so that Census Bureau statistical data can be tabulated at the block level and aggregated up to the appropriate geographic areas. Census blocks cover all territory in the United States, Puerto Rico, and the Island Areas (American Samoa, Guam, the Commonwealth of the Northern Mariana Islands, and the U.S. Virgin Islands). Blocks are the smallest geographic areas for which the Census Bureau publishes data from the decennial census. A block may consist of one or more faces.

New Jersey Data Center Market is Segmented by Data Center Size (Small, Medium, Large, Massive, Mega), Tier Type (Tier 1&2, Tier 3, Tier 4), Data Center Type(Colocation, Cloud Service Providers (CSPs), Enterprise, Modular, and Edge). The Market Forecasts are Provided in Terms of Value (USD).

About this dataset

Context

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

Key observations

Largest age group (population): Male # 15-19 years (3,941) | Female # 15-19 years (3,695). 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 Piscataway township population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Piscataway township is shown in the following column.
• Population (Female): The female population in the Piscataway township 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 Piscataway township 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 Piscataway township Population by Gender. You can refer the same here

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 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. Census tracts are small, relatively permanent statistical subdivisions of a county or equivalent entity, and were defined by local participants as part of the 2020 Census Participant Statistical Areas Program. The Census Bureau delineated the census tracts in situations where no local participant existed or where all the potential participants declined to participate. The primary purpose of census tracts is to provide a stable set of geographic units for the presentation of census data and comparison back to previous decennial censuses. Census tracts generally have a population size between 1,200 and 8,000 people, with an optimum size of 4,000 people. When first delineated, census tracts were designed to be homogeneous with respect to population characteristics, economic status, and living conditions. The spatial size of census tracts varies widely depending on the density of settlement. Physical changes in street patterns caused by highway construction, new development, and so forth, may require boundary revisions. In addition, census tracts occasionally are split due to population growth, or combined as a result of substantial population decline. Census tract boundaries generally follow visible and identifiable features. They may follow legal boundaries such as minor civil division (MCD) or incorporated place boundaries in some States and situations to allow for census tract-to-governmental unit relationships where the governmental boundaries tend to remain unchanged between censuses. State and county boundaries always are census tract boundaries in the standard census geographic hierarchy. In a few rare instances, a census tract may consist of noncontiguous areas. These noncontiguous areas may occur where the census tracts are coextensive with all or parts of legal entities that are themselves noncontiguous. For the 2010 Census, the census tract code range of 9400 through 9499 was enforced for census tracts that include a majority American Indian population according to Census 2000 data and/or their area was primarily covered by federally recognized American Indian reservations and/or off-reservation trust lands; the code range 9800 through 9899 was enforced for those census tracts that contained little or no population and represented a relatively large special land use area such as a National Park, military installation, or a business/industrial park; and the code range 9900 through 9998 was enforced for those census tracts that contained only water area, no land area.

Graph and download economic data for All Employees: Total Nonfarm in New Jersey (NJNA) from Jan 1990 to Dec 2025 about payrolls, NJ, nonfarm, employment, and USA.

U.S. Census Bureau QuickFacts statistics for Carlstadt borough, 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.

This report presents estimates for measures of substance use and mental health based on the combined 2010 and 2011 National Surveys on Drug Use and Health (NSDUHs). Topics covered include past month substance use (e.g., illicit drugs, marijuana, cocaine, pain relievers, alcohol, tobacco), substance dependence, abuse, and treatment need, past year serious mental illness (SMI), any mental illness (AMI), suicidal thoughts, and major depressive episode (MDE). Resuts are provided for New Jersey for five age groups: 12 to 17, 18 to 25, 26 or older, 18 or older and all persons 12 or older.

Discover the booming New Jersey data center market! This comprehensive analysis reveals a 4.90% CAGR, key drivers, trends, and regional insights. Learn about leading companies, market segmentation, and future growth projections in this lucrative sector. Invest wisely in the data center market today! Recent developments include: July 2024 - The Courier Post and Burlington County Times report NEP Real Estate of Vineland NJ Urban Renewal aims to develop a data center campus on land off South Lincoln and Sheridan avenues. The company aims to develop six two-story data centers totaling 2.4 million sq ft (222,970 sqm) across four phases. No end-user has been secured for the site, which is located close to a substation., June 2024 - Demand for data center space in New Jersey is surging on the back of Big Tech and the artificial intelligence arms race. And while a lack of electrical capacity may keep a lid on new supply, the owners of existing facilities are now racing to expand their footprints. It’s also a new opportunity for those with developable land — at least the kind that can support the complex, highly specialized needs of AI platforms and other innovations.. Notable trends are: Cloud Computing in BFSI is anticipated to hold a significant share.

This is a National Survey of Substance Abuse Treatment Services (N-SSATS) annual report showing the state profile for New Jersey in 2012. N-SSATS is designed to collect data on the location, characteristics, and use of alcohol and drug abuse treatment facilities and services throughout the 50 States, the District of Columbia, and other U.S. jurisdictions.