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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.
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TwitterBy Matthew Schnars [source]
This comprehensive dataset provides a well-detailed and robust statistical representation of various characteristics related to the population and housing conditions of North Carolina. The dataset originates from NC LINC (Log Into North Carolina), a critical data allocation platform that focuses on sharing information regarding diverse aspects of the state’s overall demographics, socio-economic conditions, education, and employment background.
The dataset highlights a variety of facets such as population estimates by age group, race or ethnic group encompassing multiple demographic groups across different geographic areas within the state including counties and municipalities. Utilizing this expansive set of data could prove instrumental for researchers looking into demographic trends, market estimation studies or any other analysis requiring population certifications.
Revolving around Housing Statistics in North Carolina, this dataset also gives a complete perspective about various ypes of residences available throughout the region. Availability types include both renter-occupied housing units along with owned homes, providing an encapsulating vision into the home ownership versus rental situation in North Carolina. In conjunction with providing insight into occupancy details for vacant homes.
An intriguing section included within these datasets is congregated ethnicity-based data spread across numerous age-groups which can assist research based out on diverse cultures dwelling within this area.
Overall, this dataset constitutes an essential resource for stakeholders interested in understanding demographic transformations over time or gaining insights into housing availability situations across different localities in North Carolina State to inform urban planning strategies and policies beneficially impacting residents’ lives directly
This dataset offers a broad range of demographic and housing data for North Carolina, making it an ideal resource for those interested in demographic trends, urban planning, social science research, real estate and economic studies. Here's how to get the most out of it:
Interpretation: Determine what each column represents in terms of demographic and housing attributes. Familiarize yourself with the unique characteristics that each column represents such as population size, race categories, gender distributions etc.
Comparison Studies: Analyze different locations within North Carolina by comparing figures across rows (geographic units). This can provide insight on socio-economic disparities or geographical preferences among residents.
Temporal Analysis: Although the dataset doesn't contain specific dates or timeframes directly related to these statistics, you can cross-reference with external datasets from different years to conduct temporal analysis procedures such as observing the growth rates in population or changes in housing statistics.
Joining Data: Combine this dataset with other relevant datasets like education levels or crime rates which may not be available here but could add multidimensional value when conducting thorough analyses.
Correlation Studies: Perform correlation studies between different columns e.g., is there a strong correlation between population density and number of occupied houses? Such insights may be valuable for multiple sectors including real estate investment or policy-making purposes.
Map Visualization: Use geographic tools to map data based on counties/townships providing visual perspectives over raw number comparisons which could potentially lead to more nuanced interpretations of demographic distributions across North Carolina
Predictive Modelling/Forecasting: Based on historic figures available through this database develop models which predict future trends within demographics & housing sector
8: Presentation/Communication Tool: Whether you're delivering a presentation about social class disparities in NC regions or just curious about where populations are densest versus where there are more mobile homes vs homes owned freely -hamarize and display data in an easy-to-understand format.
Before diving deep, always remember to clean the dataset by eliminating duplicates, filling NA values aptly, and verifying the authenticity of the data. Furthermore, always respect privacy & comply with data regulation policies while handling demographic databases
- Urban Planning: This dataset can be a val...
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Context
The dataset tabulates the population of North Carolina by race. It includes the population of North Carolina across racial categories (excluding ethnicity) as identified by the Census Bureau. The dataset can be utilized to understand the population distribution of North Carolina across relevant racial categories.
Key observations
The percent distribution of North Carolina population by race (across all racial categories recognized by the U.S. Census Bureau): 66.22% are white, 21.16% are Black or African American, 1.10% are American Indian and Alaska Native, 3.04% are Asian, 0.07% are Native Hawaiian and other Pacific Islander, 3.59% are some other race and 4.83% are multiracial.
https://i.neilsberg.com/ch/north-carolina-population-by-race.jpeg" alt="North Carolina population by race">
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.
Racial categories include:
Variables / Data Columns
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.
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 dataset is a part of the main dataset for North Carolina Population by Race & Ethnicity. You can refer the same here
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TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the North Carolina population by race and ethnicity. The dataset can be utilized to understand the racial distribution of North Carolina.
The dataset will have the following datasets when applicable
Please note that in case when either of Hispanic or Non-Hispanic population doesnt exist, the respective dataset will not be available (as there will not be a population subset applicable for the same)
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.
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/.
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TwitterIn 2022, around 51 percent of all reported legal abortions in North Carolina were performed on non-Hispanic Black women. This statistic depicts the distribution of reported legal abortions in North Carolina in 2022, by the race/ethnicity of the women who obtained abortions.
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TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the Non-Hispanic population of Raleigh by race. It includes the distribution of the Non-Hispanic population of Raleigh across various race categories as identified by the Census Bureau. The dataset can be utilized to understand the Non-Hispanic population distribution of Raleigh across relevant racial categories.
Key observations
Of the Non-Hispanic population in Raleigh, the largest racial group is White alone with a population of 242,177 (58.91% of the total Non-Hispanic population).
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:
Variables / Data Columns
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.
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 dataset is a part of the main dataset for Raleigh Population by Race & Ethnicity. You can refer the same here
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TwitterComprehensive demographic dataset for North Carolina, US including population statistics, household income, housing units, education levels, employment data, and transportation with year-over-year changes.
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Twitterhttps://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain
Graph and download economic data for Population Estimate, Total, Hispanic or Latino, Two or More Races, Two Races Including Some Other Race (5-year estimate) in Wake County, NC (B03002020E037183) from 2009 to 2023 about Wake County, NC; Raleigh; latino; hispanic; NC; estimate; 5-year; persons; population; and USA.
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TwitterComprehensive demographic dataset for Julian, NC, US including population statistics, household income, housing units, education levels, employment data, and transportation with year-over-year changes.
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TwitterComprehensive demographic dataset for Winnabow, Town Creek, NC, US including population statistics, household income, housing units, education levels, employment data, and transportation with year-over-year changes.
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Graph and download economic data for Population Estimate, Total, Not Hispanic or Latino, Some Other Race Alone (5-year estimate) in Martin County, NC (B03002008E037117) from 2009 to 2023 about Martin County, NC; non-hispanic; NC; estimate; 5-year; persons; population; and USA.
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TwitterIn 2023, around ** percent of all adult Hispanics in North Carolina were obese. Gaining weight occurs when a person intakes more energy in calories than one uses. This statistic depicts the obesity rates for adults in North Carolina in 2023, by race/ethnicity.
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Twitterhttps://dataverse-staging.rdmc.unc.edu/api/datasets/:persistentId/versions/1.0/customlicense?persistentId=hdl:1902.29/CD-10946https://dataverse-staging.rdmc.unc.edu/api/datasets/:persistentId/versions/1.0/customlicense?persistentId=hdl:1902.29/CD-10946
3 computer laser optical discs ; 4 3/4 in. Summary File 4 (SF4) contains the sample data, which is the information compiled from the questions asked of a sample of all people and housing units. The sample data are presented in 213 population tables (matrices) and 110 housing tables, identified with "PCT" and "HCT", respectively. Each table is iterated for 336 population groups: the total population, 132 race groups, 78 American Indian and Alaska Native tribe categories (reflecting 39 individual tribes), 39 Hispanic or Latino groups, and 86 ancestry groups. SF 4 is released as individual files for each of the 50 states, the District of Columbia, and Puerto Rico; and for the United States. The tables (matrices) are identical for all files, but the geographic coverage differs. Data are provided down to the census tract level.
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TwitterComprehensive demographic dataset for Candler, NC, US including population statistics, household income, housing units, education levels, employment data, and transportation with year-over-year changes.
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TwitterComprehensive demographic dataset for Thurmond, NC, US including population statistics, household income, housing units, education levels, employment data, and transportation with year-over-year changes.
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TwitterComprehensive demographic dataset for North Carolina State Univeristy, Raleigh, NC, US including population statistics, household income, housing units, education levels, employment data, and transportation with year-over-year changes.
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TwitterComprehensive demographic dataset for University of North Carolina Wilmington, Wilmington, NC, US including population statistics, household income, housing units, education levels, employment data, and transportation with year-over-year changes.
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TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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Historical Dataset of North Carolina Cyber Academy School District is provided by PublicSchoolReview and contain statistics on metrics:Comparison of Diversity Score Trends,Total Revenues Trends,Total Expenditure Trends,Average Revenue Per Student Trends,Average Expenditure Per Student Trends,Reading and Language Arts Proficiency Trends,Math Proficiency Trends,Science Proficiency Trends,Graduation Rate Trends,Overall School District Rank Trends,American Indian Student Percentage Comparison Over Years (2017-2023),Asian Student Percentage Comparison Over Years (2016-2023),Hispanic Student Percentage Comparison Over Years (2016-2023),Black Student Percentage Comparison Over Years (2016-2023),White Student Percentage Comparison Over Years (2016-2023),Two or More Races Student Percentage Comparison Over Years (2016-2023),Comparison of Students By Grade Trends
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TwitterComprehensive demographic dataset for Vale, NC, US including population statistics, household income, housing units, education levels, employment data, and transportation with year-over-year changes.
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Graph and download economic data for White to Non-White Racial Dissimilarity (5-year estimate) Index for Mecklenburg County, NC (RACEDISPARITY037119) from 2009 to 2023 about Mecklenburg County, NC; racial dissimilarity; non-white; Charlotte; white; NC; 5-year; and USA.
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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.