7 datasets found
  1. o

    Population Projections by Hispanic Origin & Race - Vintage 2020

    • nc-state-demographer-ncosbm.opendatasoft.com
    csv, excel, geojson +1
    Updated Mar 22, 2021
    + more versions
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    (2021). Population Projections by Hispanic Origin & Race - Vintage 2020 [Dataset]. https://nc-state-demographer-ncosbm.opendatasoft.com/explore/dataset/population-projections-by-hispanic-origin-race-vintage-20200/
    Explore at:
    json, geojson, excel, csvAvailable download formats
    Dataset updated
    Mar 22, 2021
    Description

    Vintage 2020 population projections by Hispanic origin (total population/Hispanic/non-Hispanic) and race (white/non-white) for North Carolina and North Carolina counties. Includes estimates from 2010 through 2019 and population projections from 2020 through 2050.

  2. N

    Rockingham County, NC Age Group Population Dataset: A Complete Breakdown of...

    • neilsberg.com
    csv, json
    Updated Jul 24, 2024
    + more versions
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    Neilsberg Research (2024). Rockingham County, NC Age Group Population Dataset: A Complete Breakdown of Rockingham County Age Demographics from 0 to 85 Years and Over, Distributed Across 18 Age Groups // 2024 Edition [Dataset]. https://www.neilsberg.com/research/datasets/aab4a9ca-4983-11ef-ae5d-3860777c1fe6/
    Explore at:
    json, csvAvailable download formats
    Dataset updated
    Jul 24, 2024
    Dataset authored and provided by
    Neilsberg Research
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Rockingham County, North Carolina
    Variables measured
    Population Under 5 Years, Population over 85 years, Population Between 5 and 9 years, Population Between 10 and 14 years, Population Between 15 and 19 years, Population Between 20 and 24 years, Population Between 25 and 29 years, Population Between 30 and 34 years, Population Between 35 and 39 years, Population Between 40 and 44 years, and 9 more
    Measurement technique
    The data presented in this dataset is derived from the latest U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates. To measure the two variables, namely (a) population and (b) population as a percentage of the total population, we initially analyzed and categorized the data for each of the age groups. For age groups we divided it into roughly a 5 year bucket for ages between 0 and 85. For over 85, we aggregated data into a single group for all ages. For further information regarding these estimates, please feel free to reach out to us via email at research@neilsberg.com.
    Dataset funded by
    Neilsberg Research
    Description
    About this dataset

    Context

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

    Key observations

    The largest age group in Rockingham County, NC was for the group of age 60 to 64 years years with a population of 7,169 (7.86%), according to the ACS 2018-2022 5-Year Estimates. At the same time, the smallest age group in Rockingham County, NC was the 85 years and over years with a population of 2,050 (2.25%). 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 Rockingham County is shown in this column.
    • % of Total Population: This column displays the population of each age group as a proportion of Rockingham County 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 Rockingham County Population by Age. You can refer the same here

  3. n

    Population by Age, Race, Sex (LINC)

    • linc.osbm.nc.gov
    • ncosbm.opendatasoft.com
    csv, excel, json
    Updated Jan 27, 2025
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    (2025). Population by Age, Race, Sex (LINC) [Dataset]. https://linc.osbm.nc.gov/explore/dataset/population-by-age-race-sex-linc/
    Explore at:
    json, csv, excelAvailable download formats
    Dataset updated
    Jan 27, 2025
    Description

    Decennial census counts and population estimates and projections by age, race, and sex for North Carolina and all counties. Produced by the State Demographer of North Carolina. Race categorizes as defined by Census Bureau's Modified Race Data Summary Files. CAUTION: Historical data on race have not been normalized here - there is a break in 2010. See full projection dataset on demography.osbm.nc.gov for normalized race categories from 2000 through 2050.

  4. P

    Population pyramid for New Caledonia

    • pacificdata.org
    • pacific-data.sprep.org
    csv, pdf
    Updated Apr 2, 2025
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    SPC (2025). Population pyramid for New Caledonia [Dataset]. https://pacificdata.org/data/dataset/population-pyramid-for-new-caledonia-dv-pop-pyramid-nc
    Explore at:
    pdf, csvAvailable download formats
    Dataset updated
    Apr 2, 2025
    Dataset provided by
    SPC
    Area covered
    New Caledonia
    Description

    This is a subset of Population projections

    Population projections for Pacific Island Countries and territories from 1950 to 2050, by sex and by 5-years age groups.

  5. N

    Emerald Isle, NC Age Cohorts Dataset: Children, Working Adults, and Seniors...

    • neilsberg.com
    csv, json
    Updated Feb 22, 2025
    + more versions
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    Neilsberg Research (2025). Emerald Isle, NC Age Cohorts Dataset: Children, Working Adults, and Seniors in Emerald Isle - Population and Percentage Analysis // 2025 Edition [Dataset]. https://www.neilsberg.com/research/datasets/4b7dda75-f122-11ef-8c1b-3860777c1fe6/
    Explore at:
    json, csvAvailable download formats
    Dataset updated
    Feb 22, 2025
    Dataset authored and provided by
    Neilsberg Research
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Emerald Isle, North Carolina
    Variables measured
    Population Over 65 Years, Population Under 18 Years, Population Between 18 and 64 Years, Percent of Total Population for Age Groups
    Measurement technique
    The data presented in this dataset is derived from the latest U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. To measure the two variables, namely (a) population and (b) population as a percentage of the total population, we initially analyzed and categorized the data for each of the age cohorts. For age cohorts we divided it into three buckets Children ( Under the age of 18 years), working population ( Between 18 and 64 years) and senior population ( Over 65 years). For further information regarding these estimates, please feel free to reach out to us via email at research@neilsberg.com.
    Dataset funded by
    Neilsberg Research
    Description
    About this dataset

    Context

    The dataset tabulates the Emerald Isle 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 Emerald Isle. 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 2,050 (52.36% 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 Emerald Isle population analysis. Total expected values are 3 groups ( Children, Working Population and Senior Population).
    • Population: The population for the age cohort in Emerald Isle is shown in the following column.
    • Percent of Total Population: The population as a percent of total population of the Emerald Isle 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 Emerald Isle Population by Age. You can refer the same here

  6. LuccME/INLAND land-use scenarios for Brazil 2050

    • data-staging.niaid.nih.gov
    • data.niaid.nih.gov
    • +1more
    Updated Feb 2, 2024
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    Bezerra, Francisco Gilney Silva; Von Randow, Celso; Assis, Talita Oliveira; Bezerra, Karine Rocha Aguiar; Tejada, Graciela; Castro, Aline Anderson; Gomes, Diego Melo de Paula; Avancini, Rodrigo; Aguiar, Ana Paula (2024). LuccME/INLAND land-use scenarios for Brazil 2050 [Dataset]. https://data-staging.niaid.nih.gov/resources?id=zenodo_5123559
    Explore at:
    Dataset updated
    Feb 2, 2024
    Dataset provided by
    National Institute for Space Researchhttp://www.inpe.br/
    Authors
    Bezerra, Francisco Gilney Silva; Von Randow, Celso; Assis, Talita Oliveira; Bezerra, Karine Rocha Aguiar; Tejada, Graciela; Castro, Aline Anderson; Gomes, Diego Melo de Paula; Avancini, Rodrigo; Aguiar, Ana Paula
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Brazil
    Description

    Land use and land cover change models and scenarios are essential to understand the interconnections between global and regional factors influencing land use and demand changes, especially if we consider population growth and food demand projections in 2050.

    Understanding the future of changes in land use and land cover in Brazil is fundamental for the future of global climate and biodiversity, given the richness of its five biomes. Thus, the new spatially explicit regional scenarios were developed for Brazil by 2050. Those scenarios are aligned with the Shared Socio-Economic Pathways (SSPs) and Representative Concentration Pathway (RCPs). Aim to detail global models regionally and can be used both regionally to support decision-making and enrich the overall analysis.

    For the development of these new scenarios, the LuccME spatially explicit land change allocation modeling framework and the INLAND surface model were combined to incorporate climatic variables in water deficit and biophysical, socioeconomic, and institutional factors for Brazil. The scenarios were developed for land use and land cover classes: forest vegetation, grassland vegetation, planted pasture, agriculture, mosaic of occupations, and forestry.

    The dataset comes in NetCDF format and includes the following products:

    LUCCMEBR_land_cover_type_100km2_2000.nc: Percentage of land use and land cover for the year 2000 (Observed data).

    LUCCMEBR_land_cover_type_100km2_2010.nc: Percentage of land use and land cover for the year 2010 (Observed data).

    LUCCMEBR_land_cover_type_100km2_2012.nc: Percentage of land use and land cover for the year 2012 (Observed data).

    LUCCMEBR_land_cover_type_100km2_2014.nc: Percentage of land use and land cover for the year 2014 (Observed data).

    LUCCMEBR_SSP1_RCP19_land_cover_type_100km2_2015_2050.nc: Percentage of land use and land cover for the period 2015-2050 (Simulated data). This scenario considers the combination of SSP1 and RCP1.9.

    LUCCMEBR_SSP2_RCP45_land_cover_type_100km2_2015_2050.nc: Percentage of land use and land cover for the period 2015-2050 (Simulated data). This scenario considers the combination of SSP2 and RCP4.5.

    LUCCMEBR_SSP3_RCP70_land_cover_type_100km2_2015_2050.nc: Percentage of land use and land cover for the period 2015-2050 (Simulated data). This scenario considers the combination of SSP3 and RCP7.0.

    Data

    Percentage of land use and land cover classes: Forest vegetation (veg), Grassland vegetation (gveg), Planted pasture (pastp), Agriculture (agric), Mosaic of occupation (mosc), Forestry (fores) and Others (others).

    Spatial resolution

    The scenarios are available in a spatial resolution of 0.083º x 0.083º (~100 km²) and cover the entire Brazilian territory.

    Temporal resolution

    Period of observed data: 2000, 2010, 2012 e 2014

    Scenario Period: 2015 – 2050 (each five-year)

    Coordinate reference system

    Geographic Coordinate System with Datum WGS84 (EPSG4326)

    Data format

    Data is provided as NetCDF.

    Dataset usage

    It is free to use, but please make sure to cite the repository and our paper properly if you use this dataset.

    Publication & further information

    For additional scenario information, please contact Francisco Gilney Silva Bezerra (franciscogilney@gmail.com).

    Acknowledgments

    The authors thank the project “MSA / BNDES (Environmental Monitoring by Satellite in the Amazon biome)” for financing the development of LuccMEBR.

  7. N

    Tyrrell County, NC Age Cohorts Dataset: Children, Working Adults, and...

    • neilsberg.com
    csv, json
    Updated Jul 24, 2024
    + more versions
    Share
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    Neilsberg Research (2024). Tyrrell County, NC Age Cohorts Dataset: Children, Working Adults, and Seniors in Tyrrell County - Population and Percentage Analysis // 2024 Edition [Dataset]. https://www.neilsberg.com/research/datasets/c1304802-4983-11ef-ae5d-3860777c1fe6/
    Explore at:
    json, csvAvailable download formats
    Dataset updated
    Jul 24, 2024
    Dataset authored and provided by
    Neilsberg Research
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    North Carolina, Tyrrell County
    Variables measured
    Population Over 65 Years, Population Under 18 Years, Population Between 18 and 64 Years, Percent of Total Population for Age Groups
    Measurement technique
    The data presented in this dataset is derived from the latest U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates. To measure the two variables, namely (a) population and (b) population as a percentage of the total population, we initially analyzed and categorized the data for each of the age cohorts. For age cohorts we divided it into three buckets Children ( Under the age of 18 years), working population ( Between 18 and 64 years) and senior population ( Over 65 years). For further information regarding these estimates, please feel free to reach out to us via email at research@neilsberg.com.
    Dataset funded by
    Neilsberg Research
    Description
    About this dataset

    Context

    The dataset tabulates the Tyrrell County 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 Tyrrell County. 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 2,050 (60.49% of the total population). 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 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 Tyrrell County population analysis. Total expected values are 3 groups ( Children, Working Population and Senior Population).
    • Population: The population for the age cohort in Tyrrell County is shown in the following column.
    • Percent of Total Population: The population as a percent of total population of the Tyrrell County 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 Tyrrell County Population by Age. You can refer the same here

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(2021). Population Projections by Hispanic Origin & Race - Vintage 2020 [Dataset]. https://nc-state-demographer-ncosbm.opendatasoft.com/explore/dataset/population-projections-by-hispanic-origin-race-vintage-20200/

Population Projections by Hispanic Origin & Race - Vintage 2020

Explore at:
json, geojson, excel, csvAvailable download formats
Dataset updated
Mar 22, 2021
Description

Vintage 2020 population projections by Hispanic origin (total population/Hispanic/non-Hispanic) and race (white/non-white) for North Carolina and North Carolina counties. Includes estimates from 2010 through 2019 and population projections from 2020 through 2050.

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