19 datasets found
  1. Population density in Tennessee 1960-2017

    • statista.com
    Updated Jan 31, 2025
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    Statista (2025). Population density in Tennessee 1960-2017 [Dataset]. https://www.statista.com/statistics/594859/tennessee-population-density/
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    Dataset updated
    Jan 31, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Tennessee, United States
    Description

    This graph shows the population density in the federal state of Tennessee from 1960 to 2017. In 2017, the population density of Tennessee stood at 162.9 residents per square mile of land area.

  2. T

    Tunisia TN: Population Density: People per Square Km

    • ceicdata.com
    Updated Dec 15, 2024
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    CEICdata.com (2024). Tunisia TN: Population Density: People per Square Km [Dataset]. https://www.ceicdata.com/en/tunisia/population-and-urbanization-statistics/tn-population-density-people-per-square-km
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    Dataset updated
    Dec 15, 2024
    Dataset provided by
    CEICdata.com
    License

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

    Time period covered
    Dec 1, 2006 - Dec 1, 2017
    Area covered
    Tunisia
    Variables measured
    Population
    Description

    Tunisia TN: Population Density: People per Square Km data was reported at 74.228 Person/sq km in 2017. This records an increase from the previous number of 73.399 Person/sq km for 2016. Tunisia TN: Population Density: People per Square Km data is updated yearly, averaging 51.821 Person/sq km from Dec 1961 (Median) to 2017, with 57 observations. The data reached an all-time high of 74.228 Person/sq km in 2017 and a record low of 27.265 Person/sq km in 1961. Tunisia TN: Population Density: People per Square Km data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Tunisia – Table TN.World Bank.WDI: Population and Urbanization Statistics. Population density is midyear population divided by land area in square kilometers. Population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship--except for refugees not permanently settled in the country of asylum, who are generally considered part of the population of their country of origin. Land area is a country's total area, excluding area under inland water bodies, national claims to continental shelf, and exclusive economic zones. In most cases the definition of inland water bodies includes major rivers and lakes.; ; Food and Agriculture Organization and World Bank population estimates.; Weighted average;

  3. T

    Tunisia TN: Population Density: Inhabitants per sq km

    • ceicdata.com
    Updated Dec 15, 2024
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    CEICdata.com (2024). Tunisia TN: Population Density: Inhabitants per sq km [Dataset]. https://www.ceicdata.com/en/tunisia/social-demography-non-oecd-member-annual/tn-population-density-inhabitants-per-sq-km
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    Dataset updated
    Dec 15, 2024
    Dataset provided by
    CEICdata.com
    License

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

    Time period covered
    Dec 1, 2011 - Dec 1, 2022
    Area covered
    Tunisia
    Description

    Tunisia TN: Population Density: Inhabitants per sq km data was reported at 78.010 Person in 2022. This records an increase from the previous number of 77.550 Person for 2021. Tunisia TN: Population Density: Inhabitants per sq km data is updated yearly, averaging 66.600 Person from Dec 1990 (Median) to 2022, with 33 observations. The data reached an all-time high of 78.010 Person in 2022 and a record low of 53.580 Person in 1990. Tunisia TN: Population Density: Inhabitants per sq km data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s Tunisia – Table TN.OECD.GGI: Social: Demography: Non OECD Member: Annual.

  4. d

    Data from: Attributes for NHDplus Catchments (Version 1.1) for the...

    • datadiscoverystudio.org
    • dataone.org
    • +3more
    pdf, zip
    Updated Jun 8, 2018
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    (2018). Attributes for NHDplus Catchments (Version 1.1) for the Conterminous United States: Population Density, 2000. [Dataset]. http://datadiscoverystudio.org/geoportal/rest/metadata/item/cabff63c99134024a8d8a9e80724f5d9/html
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    pdf, zipAvailable download formats
    Dataset updated
    Jun 8, 2018
    Area covered
    United States
    Description

    description: This data set represents the average population density, in number of people per square kilometer multiplied by 10 for the year 2000, compiled for every catchment of NHDPlus for the conterminous United States. The source data set is the 2000 Population Density by Block Group for the Conterminous United States (Hitt, 2003). The NHDPlus Version 1.1 is an integrated suite of application-ready geospatial datasets that incorporates many of the best features of the National Hydrography Dataset (NHD) and the National Elevation Dataset (NED). The NHDPlus includes a stream network (based on the 1:100,00-scale NHD), improved networking, naming, and value-added attributes (VAAs). NHDPlus also includes elevation-derived catchments (drainage areas) produced using a drainage enforcement technique first widely used in New England, and thus referred to as "the New England Method." This technique involves "burning in" the 1:100,000-scale NHD and when available building "walls" using the National Watershed Boundary Dataset (WBD). The resulting modified digital elevation model (HydroDEM) is used to produce hydrologic derivatives that agree with the NHD and WBD. Over the past two years, an interdisciplinary team from the U.S. Geological Survey (USGS), and the U.S. Environmental Protection Agency (USEPA), and contractors, found that this method produces the best quality NHD catchments using an automated process (USEPA, 2007). The NHDPlus dataset is organized by 18 Production Units that cover the conterminous United States. The NHDPlus version 1.1 data are grouped by the U.S. Geologic Survey's Major River Basins (MRBs, Crawford and others, 2006). MRB1, covering the New England and Mid-Atlantic River basins, contains NHDPlus Production Units 1 and 2. MRB2, covering the South Atlantic-Gulf and Tennessee River basins, contains NHDPlus Production Units 3 and 6. MRB3, covering the Great Lakes, Ohio, Upper Mississippi, and Souris-Red-Rainy River basins, contains NHDPlus Production Units 4, 5, 7 and 9. MRB4, covering the Missouri River basins, contains NHDPlus Production Units 10-lower and 10-upper. MRB5, covering the Lower Mississippi, Arkansas-White-Red, and Texas-Gulf River basins, contains NHDPlus Production Units 8, 11 and 12. MRB6, covering the Rio Grande, Colorado and Great Basin River basins, contains NHDPlus Production Units 13, 14, 15 and 16. MRB7, covering the Pacific Northwest River basins, contains NHDPlus Production Unit 17. MRB8, covering California River basins, contains NHDPlus Production Unit 18.; abstract: This data set represents the average population density, in number of people per square kilometer multiplied by 10 for the year 2000, compiled for every catchment of NHDPlus for the conterminous United States. The source data set is the 2000 Population Density by Block Group for the Conterminous United States (Hitt, 2003). The NHDPlus Version 1.1 is an integrated suite of application-ready geospatial datasets that incorporates many of the best features of the National Hydrography Dataset (NHD) and the National Elevation Dataset (NED). The NHDPlus includes a stream network (based on the 1:100,00-scale NHD), improved networking, naming, and value-added attributes (VAAs). NHDPlus also includes elevation-derived catchments (drainage areas) produced using a drainage enforcement technique first widely used in New England, and thus referred to as "the New England Method." This technique involves "burning in" the 1:100,000-scale NHD and when available building "walls" using the National Watershed Boundary Dataset (WBD). The resulting modified digital elevation model (HydroDEM) is used to produce hydrologic derivatives that agree with the NHD and WBD. Over the past two years, an interdisciplinary team from the U.S. Geological Survey (USGS), and the U.S. Environmental Protection Agency (USEPA), and contractors, found that this method produces the best quality NHD catchments using an automated process (USEPA, 2007). The NHDPlus dataset is organized by 18 Production Units that cover the conterminous United States. The NHDPlus version 1.1 data are grouped by the U.S. Geologic Survey's Major River Basins (MRBs, Crawford and others, 2006). MRB1, covering the New England and Mid-Atlantic River basins, contains NHDPlus Production Units 1 and 2. MRB2, covering the South Atlantic-Gulf and Tennessee River basins, contains NHDPlus Production Units 3 and 6. MRB3, covering the Great Lakes, Ohio, Upper Mississippi, and Souris-Red-Rainy River basins, contains NHDPlus Production Units 4, 5, 7 and 9. MRB4, covering the Missouri River basins, contains NHDPlus Production Units 10-lower and 10-upper. MRB5, covering the Lower Mississippi, Arkansas-White-Red, and Texas-Gulf River basins, contains NHDPlus Production Units 8, 11 and 12. MRB6, covering the Rio Grande, Colorado and Great Basin River basins, contains NHDPlus Production Units 13, 14, 15 and 16. MRB7, covering the Pacific Northwest River basins, contains NHDPlus Production Unit 17. MRB8, covering California River basins, contains NHDPlus Production Unit 18.

  5. Data from: Coweeta site, station Jefferson County, TN (FIPS 47089), study of...

    • search.dataone.org
    • portal.edirepository.org
    Updated Mar 11, 2015
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    Christopher Boone; Ted Gragson; Inter-University Consortium for Political and Social Research; U.S. Bureau of the Census; Michael R. Haines; Nichole Rosamilia; EcoTrends Project (2015). Coweeta site, station Jefferson County, TN (FIPS 47089), study of human population density in units of numberPerKilometerSquared on a yearly timescale [Dataset]. https://search.dataone.org/view/https%3A%2F%2Fpasta.lternet.edu%2Fpackage%2Fmetadata%2Feml%2Fecotrends%2F4133%2F2
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    Dataset updated
    Mar 11, 2015
    Dataset provided by
    Long Term Ecological Research Networkhttp://www.lternet.edu/
    Authors
    Christopher Boone; Ted Gragson; Inter-University Consortium for Political and Social Research; U.S. Bureau of the Census; Michael R. Haines; Nichole Rosamilia; EcoTrends Project
    Time period covered
    Jan 1, 1880 - Jan 1, 2000
    Area covered
    Variables measured
    YEAR, S_DEV, S_ERR, ID_OBS, N_TRACE, N_INVALID, N_MISSING, N_EXPECTED, N_OBSERVED, N_ESTIMATED, and 3 more
    Description

    The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Coweeta (CWT) contains human population density measurements in numberPerKilometerSquared units and were aggregated to a yearly timescale.

  6. Data from: Coweeta site, station Hamblen County, TN (FIPS 47063), study of...

    • search.dataone.org
    • portal.edirepository.org
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    Updated Mar 11, 2015
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    Ted Gragson; Christopher Boone; Michael R. Haines; Nichole Rosamilia; Inter-University Consortium for Political and Social Research; U.S. Bureau of the Census; EcoTrends Project (2015). Coweeta site, station Hamblen County, TN (FIPS 47063), study of human population density in units of numberPerKilometerSquared on a yearly timescale [Dataset]. https://search.dataone.org/view/https%3A%2F%2Fpasta.lternet.edu%2Fpackage%2Fmetadata%2Feml%2Fecotrends%2F4122%2F2
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    Dataset updated
    Mar 11, 2015
    Dataset provided by
    Long Term Ecological Research Networkhttp://www.lternet.edu/
    Authors
    Ted Gragson; Christopher Boone; Michael R. Haines; Nichole Rosamilia; Inter-University Consortium for Political and Social Research; U.S. Bureau of the Census; EcoTrends Project
    Time period covered
    Jan 1, 1880 - Jan 1, 2000
    Area covered
    Variables measured
    YEAR, S_DEV, S_ERR, ID_OBS, N_TRACE, N_INVALID, N_MISSING, N_EXPECTED, N_OBSERVED, N_ESTIMATED, and 3 more
    Description

    The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Coweeta (CWT) contains human population density measurements in numberPerKilometerSquared units and were aggregated to a yearly timescale.

  7. M

    Tennessee Median Household Income (1984-2023)

    • macrotrends.net
    csv
    Updated Jun 30, 2025
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    MACROTRENDS (2025). Tennessee Median Household Income (1984-2023) [Dataset]. https://www.macrotrends.net/4301/tennessee-median-household-income
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    csvAvailable download formats
    Dataset updated
    Jun 30, 2025
    Dataset authored and provided by
    MACROTRENDS
    License

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

    Time period covered
    1984 - 2023
    Area covered
    United States, Tennessee
    Description

    Household data are collected as of March.

    As stated in the Census's "Source and Accuracy of Estimates for Income, Poverty, and Health Insurance Coverage in the United States: 2011" (http://www.census.gov/hhes/www/p60_243sa.pdf):

    Estimation of Median Incomes. The Census Bureau has changed the methodology for computing median income over time. The Census Bureau has computed medians using either Pareto interpolation or linear interpolation. Currently, we are using linear interpolation to estimate all medians. Pareto interpolation assumes a decreasing density of population within an income interval, whereas linear interpolation assumes a constant density of population within an income interval. The Census Bureau calculated estimates of median income and associated standard errors for 1979 through 1987 using Pareto interpolation if the estimate was larger than $20,000 for people or $40,000 for families and households. This is because the width of the income interval containing the estimate is greater than $2,500.

    We calculated estimates of median income and associated standard errors for 1976, 1977, and 1978 using Pareto interpolation if the estimate was larger than $12,000 for people or $18,000 for families and households. This is because the width of the income interval containing the estimate is greater than $1,000. All other estimates of median income and associated standard errors for 1976 through 2011 (2012 ASEC) and almost all of the estimates of median income and associated standard errors for 1975 and earlier were calculated using linear interpolation.

    Thus, use caution when comparing median incomes above $12,000 for people or $18,000 for families and households for different years. Median incomes below those levels are more comparable from year to year since they have always been calculated using linear interpolation. For an indication of the comparability of medians calculated using Pareto interpolation with medians calculated using linear interpolation, see Series P-60, Number 114, Money Income in 1976 of Families and Persons in the United States (www2.census.gov/prod2/popscan/p60-114.pdf).

  8. 突尼斯 TN:人口密度:每平方公里人口

    • ceicdata.com
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    CEICdata.com, 突尼斯 TN:人口密度:每平方公里人口 [Dataset]. https://www.ceicdata.com/zh-hans/tunisia/population-and-urbanization-statistics/tn-population-density-people-per-square-km
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    Dataset provided by
    CEICdata.com
    License

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

    Time period covered
    Dec 1, 2006 - Dec 1, 2017
    Area covered
    突尼斯
    Variables measured
    Population
    Description

    TN:人口密度:每平方公里人口在12-01-2017达74.228Person/sq km,相较于12-01-2016的73.399Person/sq km有所增长。TN:人口密度:每平方公里人口数据按年更新,12-01-1961至12-01-2017期间平均值为51.821Person/sq km,共57份观测结果。该数据的历史最高值出现于12-01-2017,达74.228Person/sq km,而历史最低值则出现于12-01-1961,为27.265Person/sq km。CEIC提供的TN:人口密度:每平方公里人口数据处于定期更新的状态,数据来源于World Bank,数据归类于全球数据库的突尼斯 – 表 TN.世行.WDI:人口和城市化进程统计。

  9. Walker Branch Watershed site, station Anderson County, TN (FIPS 47001),...

    • search.dataone.org
    • portal.edirepository.org
    Updated Mar 11, 2015
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    Inter-University Consortium for Political and Social Research; U.S. Bureau of the Census; EcoTrends Project (2015). Walker Branch Watershed site, station Anderson County, TN (FIPS 47001), study of human population density in units of numberPerKilometerSquared on a yearly timescale [Dataset]. https://search.dataone.org/view/https%3A%2F%2Fpasta.lternet.edu%2Fpackage%2Fmetadata%2Feml%2Fecotrends%2F15068%2F2
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    Dataset updated
    Mar 11, 2015
    Dataset provided by
    Long Term Ecological Research Networkhttp://www.lternet.edu/
    Authors
    Inter-University Consortium for Political and Social Research; U.S. Bureau of the Census; EcoTrends Project
    Time period covered
    Jan 1, 1880 - Jan 1, 2000
    Area covered
    Variables measured
    YEAR, S_DEV, S_ERR, ID_OBS, N_TRACE, N_INVALID, N_MISSING, N_EXPECTED, N_OBSERVED, N_ESTIMATED, and 3 more
    Description

    The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Walker Branch Watershed (WBW) contains human population density measurements in numberPerKilometerSquared units and were aggregated to a yearly timescale.

  10. Data from: Coweeta site, station Lebanon County, TN (FIPS 37087), study of...

    • search.dataone.org
    • portal.edirepository.org
    Updated Mar 11, 2015
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    Inter-University Consortium for Political and Social Research; Michael R. Haines; Christopher Boone; Nichole Rosamilia; U.S. Bureau of the Census; Ted Gragson; EcoTrends Project (2015). Coweeta site, station Lebanon County, TN (FIPS 37087), study of human population density in units of numberPerKilometerSquared on a yearly timescale [Dataset]. https://search.dataone.org/view/https%3A%2F%2Fpasta.lternet.edu%2Fpackage%2Fmetadata%2Feml%2Fecotrends%2F3902%2F2
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    Dataset updated
    Mar 11, 2015
    Dataset provided by
    Long Term Ecological Research Networkhttp://www.lternet.edu/
    Authors
    Inter-University Consortium for Political and Social Research; Michael R. Haines; Christopher Boone; Nichole Rosamilia; U.S. Bureau of the Census; Ted Gragson; EcoTrends Project
    Time period covered
    Jan 1, 1880 - Jan 1, 2000
    Area covered
    Variables measured
    YEAR, S_DEV, S_ERR, ID_OBS, N_TRACE, N_INVALID, N_MISSING, N_EXPECTED, N_OBSERVED, N_ESTIMATED, and 3 more
    Description

    The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Coweeta (CWT) contains human population density measurements in numberPerKilometerSquared units and were aggregated to a yearly timescale.

  11. d

    Data from: Attributes for MRB_E2RF1 Catchments in Selected Major River...

    • search.dataone.org
    • data.usgs.gov
    • +1more
    Updated Oct 29, 2016
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    Michael E. Wieczorek; Andrew E. LaMotte (2016). Attributes for MRB_E2RF1 Catchments in Selected Major River Basins: Population Density, 2000 [Dataset]. https://search.dataone.org/view/61c9b42e-e7ce-4166-8bfc-c161a96b3121
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    Dataset updated
    Oct 29, 2016
    Dataset provided by
    USGS Science Data Catalog
    Authors
    Michael E. Wieczorek; Andrew E. LaMotte
    Area covered
    Variables measured
    OID, RF1ID, COV_PERC, BASIN_AREA, NODATA_ARE, POPD00_ARE, POPD00_MEA
    Description

    This data set represents the average population density, in number of people per square kilometer multiplied by 10 for the year 2000, compiled for every MRB_E2RF1 catchment of selected Major River Basins (MRBs, Crawford and others, 2006). The source data set is the 2000 Population Density by Block Group for the Conterminous United States (Hitt, 2003).

    The MRB_E2RF1 catchments are based on a modified version of the U.S. Environmental Protection Agency's (USEPA) RF1_2 and include enhancements to support national and regional-scale surface-water quality modeling (Nolan and others, 2002; Brakebill and others, 2011).

    Data were compiled for every MRB_E2RF1 catchment for the conterminous United States covering covering New England and Mid-Atlantic (MRB1), South Atlantic-Gulf and Tennessee (MRB2), the Great Lakes, Ohio, Upper Mississippi, and Souris-Red-Rainy (MRB3), the Missouri (MRB4), the Lower Mississippi, Arkansas-White-Red, and Texas-Gulf (MRB5), the Rio Grande, Colorado, and the Great basin (MRB6), the Pacific Northwest (MRB7) river basins, and California (MRB8).

  12. Data from: Coweeta site, station Greene County, TN (FIPS 47059), study of...

    • search.dataone.org
    • portal.edirepository.org
    Updated Mar 11, 2015
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    U.S. Bureau of the Census; Christopher Boone; Michael R. Haines; Nichole Rosamilia; Inter-University Consortium for Political and Social Research; Ted Gragson; EcoTrends Project (2015). Coweeta site, station Greene County, TN (FIPS 47059), study of percent urban population in units of percent on a yearly timescale [Dataset]. https://search.dataone.org/view/https%3A%2F%2Fpasta.lternet.edu%2Fpackage%2Fmetadata%2Feml%2Fecotrends%2F4110%2F2
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    Dataset updated
    Mar 11, 2015
    Dataset provided by
    Long Term Ecological Research Networkhttp://www.lternet.edu/
    Authors
    U.S. Bureau of the Census; Christopher Boone; Michael R. Haines; Nichole Rosamilia; Inter-University Consortium for Political and Social Research; Ted Gragson; EcoTrends Project
    Time period covered
    Jan 1, 1790 - Jan 1, 2000
    Area covered
    Variables measured
    YEAR, S_DEV, S_ERR, ID_OBS, N_TRACE, N_INVALID, N_MISSING, N_EXPECTED, N_OBSERVED, N_ESTIMATED, and 3 more
    Description

    The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Coweeta (CWT) contains percent urban population measurements in percent units and were aggregated to a yearly timescale.

  13. Data from: Coweeta site, station Washington County, TN (FIPS 47179), study...

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    • portal.edirepository.org
    Updated Mar 11, 2015
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    Inter-University Consortium for Political and Social Research; U.S. Bureau of the Census; Christopher Boone; Ted Gragson; Nichole Rosamilia; Michael R. Haines; EcoTrends Project (2015). Coweeta site, station Washington County, TN (FIPS 47179), study of percent urban population in units of percent on a yearly timescale [Dataset]. https://search.dataone.org/view/https%3A%2F%2Fpasta.lternet.edu%2Fpackage%2Fmetadata%2Feml%2Fecotrends%2F4209%2F2
    Explore at:
    Dataset updated
    Mar 11, 2015
    Dataset provided by
    Long Term Ecological Research Networkhttp://www.lternet.edu/
    Authors
    Inter-University Consortium for Political and Social Research; U.S. Bureau of the Census; Christopher Boone; Ted Gragson; Nichole Rosamilia; Michael R. Haines; EcoTrends Project
    Time period covered
    Jan 1, 1790 - Jan 1, 2000
    Area covered
    Variables measured
    YEAR, S_DEV, S_ERR, ID_OBS, N_TRACE, N_INVALID, N_MISSING, N_EXPECTED, N_OBSERVED, N_ESTIMATED, and 3 more
    Description

    The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Coweeta (CWT) contains percent urban population measurements in percent units and were aggregated to a yearly timescale.

  14. Data from: Coweeta site, station Sullivan County, TN (FIPS 47163), study of...

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    • portal.edirepository.org
    Updated Mar 11, 2015
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    U.S. Bureau of the Census; Ted Gragson; Inter-University Consortium for Political and Social Research; Nichole Rosamilia; Christopher Boone; Michael R. Haines; EcoTrends Project (2015). Coweeta site, station Sullivan County, TN (FIPS 47163), study of percent urban population in units of percent on a yearly timescale [Dataset]. https://search.dataone.org/view/https%3A%2F%2Fpasta.lternet.edu%2Fpackage%2Fmetadata%2Feml%2Fecotrends%2F4187%2F2
    Explore at:
    Dataset updated
    Mar 11, 2015
    Dataset provided by
    Long Term Ecological Research Networkhttp://www.lternet.edu/
    Authors
    U.S. Bureau of the Census; Ted Gragson; Inter-University Consortium for Political and Social Research; Nichole Rosamilia; Christopher Boone; Michael R. Haines; EcoTrends Project
    Time period covered
    Jan 1, 1790 - Jan 1, 2000
    Area covered
    Variables measured
    YEAR, S_DEV, S_ERR, ID_OBS, N_TRACE, N_INVALID, N_MISSING, N_EXPECTED, N_OBSERVED, N_ESTIMATED, and 3 more
    Description

    The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Coweeta (CWT) contains percent urban population measurements in percent units and were aggregated to a yearly timescale.

  15. Data from: Coweeta site, station Carter County, TN (FIPS 47019), study of...

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    Inter-University Consortium for Political and Social Research; Christopher Boone; Michael R. Haines; Nichole Rosamilia; U.S. Bureau of the Census; Ted Gragson; EcoTrends Project (2015). Coweeta site, station Carter County, TN (FIPS 47019), study of percent urban population in units of percent on a yearly timescale [Dataset]. https://search.dataone.org/view/https%3A%2F%2Fpasta.lternet.edu%2Fpackage%2Fmetadata%2Feml%2Fecotrends%2F4088%2F2
    Explore at:
    Dataset updated
    Mar 11, 2015
    Dataset provided by
    Long Term Ecological Research Networkhttp://www.lternet.edu/
    Authors
    Inter-University Consortium for Political and Social Research; Christopher Boone; Michael R. Haines; Nichole Rosamilia; U.S. Bureau of the Census; Ted Gragson; EcoTrends Project
    Time period covered
    Jan 1, 1800 - Jan 1, 2000
    Area covered
    Variables measured
    YEAR, S_DEV, S_ERR, ID_OBS, N_TRACE, N_INVALID, N_MISSING, N_EXPECTED, N_OBSERVED, N_ESTIMATED, and 3 more
    Description

    The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Coweeta (CWT) contains percent urban population measurements in percent units and were aggregated to a yearly timescale.

  16. Data from: Coweeta site, station Lebanon County, TN (FIPS 37087), study of...

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    • portal.edirepository.org
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    Updated Mar 11, 2015
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    Inter-University Consortium for Political and Social Research; Christopher Boone; Ted Gragson; Michael R. Haines; U.S. Bureau of the Census; Nichole Rosamilia; EcoTrends Project (2015). Coweeta site, station Lebanon County, TN (FIPS 37087), study of percent urban population in units of percent on a yearly timescale [Dataset]. https://dataone.org/datasets/https%3A%2F%2Fpasta.lternet.edu%2Fpackage%2Fmetadata%2Feml%2Fecotrends%2F3901%2F2
    Explore at:
    Dataset updated
    Mar 11, 2015
    Dataset provided by
    Long Term Ecological Research Networkhttp://www.lternet.edu/
    Authors
    Inter-University Consortium for Political and Social Research; Christopher Boone; Ted Gragson; Michael R. Haines; U.S. Bureau of the Census; Nichole Rosamilia; EcoTrends Project
    Time period covered
    Jan 1, 1810 - Jan 1, 2000
    Area covered
    Variables measured
    YEAR, S_DEV, S_ERR, ID_OBS, N_TRACE, N_INVALID, N_MISSING, N_EXPECTED, N_OBSERVED, N_ESTIMATED, and 3 more
    Description

    The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Coweeta (CWT) contains percent urban population measurements in percent units and were aggregated to a yearly timescale.

  17. Data from: Coweeta site, station Johnson County, TN (FIPS 47091), study of...

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    Updated Mar 11, 2015
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    Ted Gragson; Christopher Boone; Inter-University Consortium for Political and Social Research; U.S. Bureau of the Census; Michael R. Haines; Nichole Rosamilia; EcoTrends Project (2015). Coweeta site, station Johnson County, TN (FIPS 47091), study of percent urban population in units of percent on a yearly timescale [Dataset]. https://search.dataone.org/view/https%3A%2F%2Fpasta.lternet.edu%2Fpackage%2Fmetadata%2Feml%2Fecotrends%2F4143%2F2
    Explore at:
    Dataset updated
    Mar 11, 2015
    Dataset provided by
    Long Term Ecological Research Networkhttp://www.lternet.edu/
    Authors
    Ted Gragson; Christopher Boone; Inter-University Consortium for Political and Social Research; U.S. Bureau of the Census; Michael R. Haines; Nichole Rosamilia; EcoTrends Project
    Time period covered
    Jan 1, 1840 - Jan 1, 2000
    Area covered
    Variables measured
    YEAR, S_DEV, S_ERR, ID_OBS, N_TRACE, N_INVALID, N_MISSING, N_EXPECTED, N_OBSERVED, N_ESTIMATED, and 3 more
    Description

    The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Coweeta (CWT) contains percent urban population measurements in percent units and were aggregated to a yearly timescale.

  18. Walker Branch Watershed site, station Anderson County, TN (FIPS 47001),...

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    Updated Mar 11, 2015
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    Inter-University Consortium for Political and Social Research; U.S. Bureau of the Census; EcoTrends Project (2015). Walker Branch Watershed site, station Anderson County, TN (FIPS 47001), study of percent urban population in units of percent on a yearly timescale [Dataset]. https://search.dataone.org/view/https%3A%2F%2Fpasta.lternet.edu%2Fpackage%2Fmetadata%2Feml%2Fecotrends%2F15067%2F2
    Explore at:
    Dataset updated
    Mar 11, 2015
    Dataset provided by
    Long Term Ecological Research Networkhttp://www.lternet.edu/
    Authors
    Inter-University Consortium for Political and Social Research; U.S. Bureau of the Census; EcoTrends Project
    Time period covered
    Jan 1, 1810 - Jan 1, 2000
    Area covered
    Variables measured
    YEAR, S_DEV, S_ERR, ID_OBS, N_TRACE, N_INVALID, N_MISSING, N_EXPECTED, N_OBSERVED, N_ESTIMATED, and 3 more
    Description

    The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Walker Branch Watershed (WBW) contains percent urban population measurements in percent units and were aggregated to a yearly timescale.

  19. Data from: Walker Branch Watershed site, station Roane County, TN (FIPS...

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    Updated Mar 11, 2015
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    Inter-University Consortium for Political and Social Research; U.S. Bureau of the Census; EcoTrends Project (2015). Walker Branch Watershed site, station Roane County, TN (FIPS 47145), study of percent urban population in units of percent on a yearly timescale [Dataset]. https://search.dataone.org/view/https%3A%2F%2Fpasta.lternet.edu%2Fpackage%2Fmetadata%2Feml%2Fecotrends%2F15089%2F2
    Explore at:
    Dataset updated
    Mar 11, 2015
    Dataset provided by
    Long Term Ecological Research Networkhttp://www.lternet.edu/
    Authors
    Inter-University Consortium for Political and Social Research; U.S. Bureau of the Census; EcoTrends Project
    Time period covered
    Jan 1, 1810 - Jan 1, 2000
    Area covered
    Variables measured
    YEAR, S_DEV, S_ERR, ID_OBS, N_TRACE, N_INVALID, N_MISSING, N_EXPECTED, N_OBSERVED, N_ESTIMATED, and 3 more
    Description

    The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Walker Branch Watershed (WBW) contains percent urban population measurements in percent units and were aggregated to a yearly timescale.

  20. Not seeing a result you expected?
    Learn how you can add new datasets to our index.

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Statista (2025). Population density in Tennessee 1960-2017 [Dataset]. https://www.statista.com/statistics/594859/tennessee-population-density/
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Population density in Tennessee 1960-2017

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Dataset updated
Jan 31, 2025
Dataset authored and provided by
Statistahttp://statista.com/
Area covered
Tennessee, United States
Description

This graph shows the population density in the federal state of Tennessee from 1960 to 2017. In 2017, the population density of Tennessee stood at 162.9 residents per square mile of land area.

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