The purpose of this USGS data release is to publish NC SELDM streamflow statistics and summary statistics of physical and chemical data in support of the information provided in the above-referenced report. This data release consists of two data sets, "NC SELDM streamflow statistics..." and "NC SELDM summary statistics for physical and chemical data...". The tables that are uploaded for the "NC SELDM streamflow statistics for 266 streamgages across North Carolina" sub-section are primarily the support files for the StreamStatsDB update that was completed when the report was approved. These files were generated using the GNWISQ and QSTATS computer programs developed and described by Granato (2009, appendices 1 and 4). This is discussed near the end of the "Prestorm streamflow statistics" section in the above-referenced report. A large table of selected site attributes and StreamStats basin characteristics that were compiled for the 266 streamgages is also provided as a part of this data release. A ReadMe file is also included in the sub-section of the data release. The tables that are uploaded for the "NC SELDM summary statistics for physical and chemical data at NC highway-runoff and bridge-deck sites" sub-section of the data release support the statewide medians table (Table 7) discussed within the "Simulating highway-runoff quality" section in the above-referenced report. This is a .csv file for each of the 11 constituents referenced in Table 11. Descriptions of the data fields (or columns) in the .csv tables are provided at the top of each .csv file. A ReadMe file is also included in the sub-section of the data release.

Graph and download economic data for Labor Force Participation Rate for North Carolina (LBSSA37) from Jan 1976 to Jul 2025 about participation, NC, labor force, labor, rate, and USA.

"Log Into North Carolina" or LINC is an interactive data retrieval service containing historical information for over 900 data items and a variety of geographic areas within the state. Topics include population, labor force, education, transportation, revenue, agriculture, vital statistics, energy and utilities, and other topics for a variety of geographic areas. Most data are available for all 100 counties. Some items are available for municipalities. Others, especially census data, may be retrieved for tracts and townships.LINC is evolving with new data and enhanced features to include data visualization, bulk data downloads, and mapping. The new version of LINC allows the public to view data but also allows registered users to save visualizations and receive notifications of dataset updates.

The purpose of this USGS data release is to publish NC SELDM streamflow statistics and summary statistics of physical and chemical data in support of the information provided in the above-referenced report. This data release consists of two data sets, "NC SELDM streamflow statistics..." and "NC SELDM summary statistics for physical and chemical data...". The tables that are uploaded for the "NC SELDM streamflow statistics for 266 streamgages across North Carolina" sub-section are primarily the support files for the StreamStatsDB update that was completed when the report was approved. These files were generated using the GNWISQ and QSTATS computer programs developed and described by Granato (2009, appendices 1 and 4). This is discussed near the end of the "Prestorm streamflow statistics" section in the above-referenced report. A large table of selected site attributes and StreamStats basin characteristics that were compiled for the 266 streamgages is also provided as a part of this data release. A ReadMe file is also included in the sub-section of the data release. The tables that are uploaded for the "NC SELDM summary statistics for physical and chemical data at NC highway-runoff and bridge-deck sites" sub-section of the data release support the statewide medians table (Table 7) discussed within the "Simulating highway-runoff quality" section in the above-referenced report. This is a .csv file for each of the 11 constituents referenced in Table 11. Descriptions of the data fields (or columns) in the .csv tables are provided at the top of each .csv file. A ReadMe file is also included in the sub-section of the data release.

The North Carolina State Center for Health Services (SCHS) collects yearly vital statistics. The Odum Institute holds vital statistics beginning in 1968 for deaths, marriages and divorce. Public marriage and divorce data are available through 1999 only. Vital statistics for births, fetal deaths, and birth/infant deaths may be obtained directly from SCHS by submitting a request to SCHS.Info@dhhs.nc.gov This study focuses on deaths in North Carolina in 2021. Death is defined as the permanent disappearance of any evidence of life at any time after live birth. This definition excludes fetal deaths. The data kept for deaths includes the age, race, marital status, and sex of the individual; date, time, cause and location of death; and mode of burial. Minor changes to the files beginning in 2014 reflect the release of an updated NC Death Certificate form in that year. The data are strictly numerical; there is no identifying information given about the individuals.

About this dataset

Context

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

Key observations

Largest age group (population): Male # 20-24 years (365,742) | Female # 30-34 years (361,930). 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 North Carolina population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the North Carolina is shown in the following column.
• Population (Female): The female population in the North Carolina 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 North Carolina 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 North Carolina Population by Gender. You can refer the same here

This provides an archive of the US EPA AMPD data used for exposure assignment as well as code written for analyses related to the peer-reviewed published manuscript: Wilkie, Adrien A; Richardson, David B; Luben, Thomas J; Serre, Marc L; Woods, Courtney G; Daniels, Julie L. Sulfur dioxide reduction at coal-fired power plants in North Carolina and associations with preterm birth among surrounding residents. Environmental Epidemiology 7(2):p e241, April 2023. | DOI: 10.1097/EE9.0000000000000241 Exposure data is publicly available from the United States (US) Environmental Protection Agency (EPA) Air Markets Program Data (AMPD), which has been updated to the Clean Air Markets Program Data (CAMPD) available at https://campd.epa.gov/. Births data has identifiable information so is not available unless formally requested from Birth Defects Monitoring Program within the State Center for Health Statistics of the North Carolina Department of Health and Human Services. Portions of this dataset are inaccessible because: EPA cannot release personally identifiable information regarding living individuals, according to the Privacy Act and the Freedom of Information Act (FOIA). This dataset contains information about human research subjects. Because there is potential to identify individual participants and disclose personal information, either alone or in combination with other datasets, individual level data are not appropriate to post for public access. Restricted access may be granted to authorized persons by contacting the party listed. They can be accessed through the following means: These data can be requested from the North Carolina State Center for Vital Statistics, Birth Defects Monitoring Program by experienced researchers with an approved IRB. Input data for unit and facility level data for coal-fired power plants in North Carolina from 2002-2015 were downloaded from US EPA AMPD (see attached data files). After data files were downloaded, this publicly available database/dashboard was updated to US EPA CAMPD (Clean Air Markets Program Data), which is also publicly available for download at https://campd.epa.gov/. Format: We received birth certificate records linked with birth defects monitoring program data from the NC State Center for Vital Statistics for all births in North Carolina between 2003 and 2015. These data include identifying information, including birth date and residential address, which was used to assign exposure to polluted sites. This dataset is associated with the following publication: Wilkie, A., D. Richardson, T. Luben, M. Serre, C. Woods, and J. Daniels. Sulfur dioxide reduction at coal-fired power plants in North Carolina and associations with preterm birth among surrounding residents. Environmental Epidemiology. Wolters Kluwer, Alphen aan den Rijn, NETHERLANDS, 7(2): e241, (2023).

Comprehensive statistics and data for the 2025 North Carolina high school football season including game results, team records, and championship data.

Graph and download economic data for All Employees: Government: Local Government in Raleigh-Cary, NC (MSA) (SMU37395809093000001) from Jan 1990 to Jul 2025 about local govt, Raleigh, NC, government, employment, and USA.

We include a description of the data sets in the meta-data as well as sample code and results from a simulated data set. This dataset is not publicly accessible because: EPA cannot release personally identifiable information regarding living individuals, according to the Privacy Act and the Freedom of Information Act (FOIA). This dataset contains information about human research subjects. Because there is potential to identify individual participants and disclose personal information, either alone or in combination with other datasets, individual level data are not appropriate to post for public access. Restricted access may be granted to authorized persons by contacting the party listed. It can be accessed through the following means: The R code is available on line here: https://github.com/warrenjl/SpGPCW. Format: Abstract The data used in the application section of the manuscript consist of geocoded birth records from the North Carolina State Center for Health Statistics, 2005-2008. In the simulation study section of the manuscript, we simulate synthetic data that closely match some of the key features of the birth certificate data while maintaining confidentiality of any actual pregnant women. Availability Due to the highly sensitive and identifying information contained in the birth certificate data (including latitude/longitude and address of residence at delivery), we are unable to make the data from the application section publicly available. However, we will make one of the simulated datasets available for any reader interested in applying the method to realistic simulated birth records data. This will also allow the user to become familiar with the required inputs of the model, how the data should be structured, and what type of output is obtained. While we cannot provide the application data here, access to the North Carolina birth records can be requested through the North Carolina State Center for Health Statistics and requires an appropriate data use agreement. Description Permissions: These are simulated data without any identifying information or informative birth-level covariates. We also standardize the pollution exposures on each week by subtracting off the median exposure amount on a given week and dividing by the interquartile range (IQR) (as in the actual application to the true NC birth records data). The dataset that we provide includes weekly average pregnancy exposures that have already been standardized in this way while the medians and IQRs are not given. This further protects identifiability of the spatial locations used in the analysis. File format: R workspace file. Metadata (including data dictionary) • y: Vector of binary responses (1: preterm birth, 0: control) • x: Matrix of covariates; one row for each simulated individual • z: Matrix of standardized pollution exposures • n: Number of simulated individuals • m: Number of exposure time periods (e.g., weeks of pregnancy) • p: Number of columns in the covariate design matrix • alpha_true: Vector of “true” critical window locations/magnitudes (i.e., the ground truth that we want to estimate). This dataset is associated with the following publication: Warren, J., W. Kong, T. Luben, and H. Chang. Critical Window Variable Selection: Estimating the Impact of Air Pollution on Very Preterm Birth. Biostatistics. Oxford University Press, OXFORD, UK, 1-30, (2019).

Comprehensive statistics and data for the 2024 North Carolina high school football season including game results, team records, and championship data.

The North Carolina State Demographer data platform houses the latest data produced by the Office of the State Demographer. The platform allows users to create visualizations, download full (or partial) datasets, and create maps. Registered users can save their visualizations and be notified of dataset updates. This new platform is a subdomain of OSBM’s Log In to North Carolina (LINC) – a service containing over 900 data items including items pertaining to population, labor force, education, transportation, etc. LINC includes topline statistics from the State Demographer’s population estimates and projections while the North Carolina State Demographer data platform includes more detailed datasets for users requiring more detailed demographic information.

United States Unemployment Rate: North Carolina data was reported at 4.200 % in Jun 2018. This records an increase from the previous number of 3.700 % for May 2018. United States Unemployment Rate: North Carolina data is updated monthly, averaging 5.400 % from Jan 1976 (Median) to Jun 2018, with 510 observations. The data reached an all-time high of 12.000 % in Feb 2010 and a record low of 2.700 % in Dec 1998. United States Unemployment Rate: North Carolina data remains active status in CEIC and is reported by Bureau of Labor Statistics. The data is categorized under Global Database’s USA – Table US.G057: Unemployment Rate: By State.

Vital statistics, health practitioner, health facilities, mental health, substance abuse, and disabilities data for North Carolina and counties.

This data set contains annual quantities and value for all seafood products that are landed and sold by established seafood dealers and brokers in the Southeast Region (North Carolina through Texas). These types of data, referred to as the general canvass landings statistics, have been collected by the NOAA Fisheries Service, National Marine Fisheries Service and its predecessor agency, the Bureau of Commercial Fisheries. The data are available on computer since the early 1960's. The quantities and values that are reported in this data set include the annual landings that were initiated in 1962. Beginning in 1976, the data were collected monthly. See the sections on Links for the reference to the monthly general canvass landings. The annual general canvass landings include quantities and value for all living marine species and are identified by species (usually the local or common name). These data were collected by field agents employed by the National Marine Fisheries Service or the Bureau of Commercial Fisheries and assigned to local fishing ports. The agents contacted the majority of the seafood dealers or brokers in their assigned areas and recorded the quantities and value for each species or species category from the sales receipts maintained by the seafood dealers. In addition, information on the gear and area of capture is available for most of the landings statistics in the data set. Based on their knowledge of the fishing activity in the area, the agents would estimate the type of fishing gear and area where the fishing was likely to have occurred. More detailed information on the caveats associated with these data is provided in the Characteristics, Caveats and Issues section. However, because these data are summaries, they do not contain information on the quantities of fishing effort or identifications of the fishermen or vessels that caught the fish or shellfish.

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Graph and download economic data for Employed Persons in North Carolina (LASST370000000000005) from Jan 1976 to Jun 2025 about NC, household survey, employment, persons, and USA.

This dataset is the combination of two sources: 1. 'Births' – Detailed birth records for births in North Carolina from 1990 through 2013. 2. 'Education' – End-of-grade education information for students in North Carolina public or charter schools in grades 3-8 for school years 2002-2003 through 2015-2016. The resulting linked dataset includes all birth and education records for children born in the cohort years, regardless of whether they are linked.