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data for an online paper used
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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Context
The dataset tabulates the Tennessee Ridge population by age. The dataset can be utilized to understand the age distribution and demographics of Tennessee Ridge.
The dataset constitues the following three datasets
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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Daily situation for Tennessee counties as reported by the Tennessee Department of Health. The data are posted on the department's coronavirus disease web page: https://www.tn.gov/health/cedep/ncov.html. Date on testing results and deaths was posted beginning March 31, 2020.CountyNS (County GNIS code)NAMELSAD (Legal/statistical area) -County of residence of COVID-19 casesCounty identifier (GEOID) - County FIPS codeCombined statistical area code (CBSAFP) - Metropolitan/Micropolitan Area codeCore-based area name (CBSA_TITLE) - Metropolitan/Micropolitan Area nameCore-based statistical area type (MSA_TYPE) - Core-based statistical area typeCore-based area county type (MSA_COUNTY_TYPE) - Type of county in core-based statistical areasHealth Department Region (HEALTH_DEPT_REG)Health Department Type (HEALTH_DEPT_TYPE)TN ECD Urban Rural Classification (ECD_URBAN_RURAL_CLASS)Positive Tests (TEST_POS) - Total number of people ever to test positive for COVID-19Negative Tests (TEST_NEG) - Total number of people with a negative COVID-19 test resultTotal Tests (TEST_TOT) - Total number of COVID-19 tests with reported resultNew Tests (TEST_NEW) - Number of new tests results posted since the previous dayTotal Cases (CASES_TOT) - Total number of people ever to have a confirmed or probably case of COVID-19 by countyNew Cases (CASES_NEW) - The number of new cases reported to have a confirmed case of COVID-19 since the report on the previous dayTotal Hospitalizations (HOSPITALIZED_TOT) - Number of patients that were ever hospitalized during their illness, it does not indicate the number of patients currently hospitalizeNew Hospitalizations (HOSPITALIZED_NEW) - Number of patients that were ever hospitalized in the previous 24-hour period. Does not indicate the number of patients currently hospitalizedTotal Recovered (RECOV_TOT) - Total Number of inactive/recovered COVID cases. Includes people 14 days beyond illness onset date, specimen collection date, investigation report date, or investigation start date.New Recovered (RECOV_NEW) - Change in the number of new inactive/recovered cases since the previous day.Total Deaths (DEATHS_TOT) - Number of COVID-19 related deaths that were ever reported by countyNew Deaths (DEATHS_NEW) - Number of COVID-19 related deaths that were reported since the previous dayActive Cases (ACTIVE_TOT) - Calculated as the total number of confirmed COVID-19 cases, less the number of recovered and deaths reportedNew Active Cases (ACTIVE_NEW) - Change in the number of active COVID-19 cases since the previous dayPopulation Estimate 2019 (POPESTIMATE2019) - 2019 vintage estimated population for counties by the U.S. Census BureauNOWcast Current (NOWCast_CURRENT) - UTK COVID-19 NOWCast estimate of the number of new daily casesEffective Rate Transmission (EffectiveR) - Effective reproduction or R is an estimate of the average number of new infections caused by a single infected individualEffect Rate Transmission Label (EffectiveR_LABEL)
Group quarters are owned or managed by an entity or organization providing housing and/or services for the residents. People living in group quarters are usually not related to each other including such places as college residence halls, nursing homes and correctional facilities.The data in this map is compiled from a variety of publicly available sources to support US Census Bureau related activities in Tennessee including the 2020 Census and preparation of annual estimates of population and housing units.This dataset is under development and currently includes adult and juvenile corrections facilities in the state. Work is ongoing to add additional facility types and is scheduled to be complete by May 2019.
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2018 to 2070 population projections for Tennessee counties are presented in a dashboard interface developed by the Tennessee State Data Center. The dashboards data is drawn from the 2018 to 2070 Population Estimates produced by the Boyd Center for Business and Economic Research at the University of Tennessee.The dashboard provides access, at county-level, to each year’s projection, but focuses on comparisons between the current state and county-level estimates from 2018 and 2040.Data from three key indicators are highlighted in the application. These include percentages of working age (age 20 to 64), seniors (age 65+), and minority populations. A series of related map layers is also provided to help understand the pattern of these indicators across the state in 2018 and 2040. The available map layers can be accessed by using the button found in the top right corner of the map.It also provides bar charts which show detailed, year-by-year, break downs of the following:5-year age bandsFour classes of race and Hispanic ethnicitySexMore detailed background on the projection procedures and methodology are available at tndata.utk.edu.
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Context
The dataset tabulates the Gilt Edge population by age. The dataset can be utilized to understand the age distribution and demographics of Gilt Edge.
The dataset constitues the following three datasets
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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Data of test system 2 for the paper entitled Coordinated Transportation and Power Distribution Networks: An Epsilon-Constraint Algorithm Based Co-Optimization for Economy and Emission
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The Population Projections for the State of Tennessee, produced for the Tennessee State Data Center, contain projections for each county in Tennessee by race, age, and sex for each year from 2018 to 2070. Age is defined by five-year bands, starting with an “age 0-4” group and ending with an “age 85+” group. Race is delineated as one of four categories that combine race and ethnic definitions:White Non-HispanicBlack Non-HispanicAll HispanicOther non-Hispanic, including two or more races. Our forecast implements a cohort-component methodology. We specify the base year as 2000 and the launch year as 2018. Thus, we inform the forecast with trends from 2000 to 2018. Using vital statistics data from the Tennessee Department of Health, we project the population change resulting from natural components (births minus deaths). Differences between actual population values as reported by the Census and values predicted using births and deaths are used to establish net migration patterns.The forecast used these predicted net migration patterns; life tables from the Social Security Administration; recent average birth rates by county, race, and age of female; and forecast future U.S. populations.The 2018 base year population estimates for Tennessee Counties are from the 2018 Vintage Estimates of Population and Housing Units produced by the US Census Bureau.
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Soil erosion rate, SOC and TN were investigated along a typical cultivated toposequence in the black soil region of northeast (NE) China.
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Context
The dataset tabulates the Tracy City population by age. The dataset can be utilized to understand the age distribution and demographics of Tracy City.
The dataset constitues the following three datasets
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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License information was derived automatically
Unemployed in Hancock County, TN was 91.00000 Persons in April of 2025, according to the United States Federal Reserve. Historically, Unemployed in Hancock County, TN reached a record high of 484.00000 in January of 2010 and a record low of 73.00000 in May of 2018. Trading Economics provides the current actual value, an historical data chart and related indicators for Unemployed in Hancock County, TN - last updated from the United States Federal Reserve on June of 2025.
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This utility file contains several geographic classifications which are useful when compiling statistics about counties in Tennessee. The classifications include data from three sources and can be joined to other county-level data using the GEOID field.
2020 Urban and Rural Counties; Tennessee Department of Economic and Community Development
According to TNECD policy, Rural counties have less than 50% of their population living within a 2020 Census Urbanized Area with a population of more 50,000. Urban area delineations were released by U.S. Census Bureau in January 2022. Tennessee has 17 urban counties and 78 rural counties in the delineations.
Development Districts
Each Tennessee county is assigned to one of nine Development Districts. They act as regional planning and economic development organizations. Cities and towns within each district provide oversight of district activities. Boundaries of Area Agencies on Aging and Disability coincide with the development districts but use different names. NOTE: Updated in 2024 to reflect name change from Memphis Area Associate of Governments (MAAG) to Midsouth Development District (MDD).
2023 Metropolitan and Micropolitan Statistical Areas
Core-Based Statistical Areas (CBSAs) are county-based regions defined by the U.S. Office of Management and Budget and are used for statistical purposes. Metropolitan Statistical Areas include central counties with a Census Urbanized area of at least 50,000 people. Micropolitan Statistical Areas include counties with a central urbanized area of 10,000 to 50,000 people. Outlying counties with a high-degree economic integration, measured by commuting are also included in the delineation. 66 Tennessee counties are included in a core-based statistical area.
Name
Description
Type
GEOID
Geographic Identifier
Text
NAMELSAD
Name
Text
DEV_DIST_NAME
Development District Short
Text
DEV_DIST_ACRONYM
Development District Short
Text
CBSA_Code
CBSA Code
Text
CBSA_Title
CBSA Title
Text
CBSA_Type
CBSA Type
Text
CBSA_CType
CBSA County Type
Text
ECD_RURAL
TNECD Urban Rural
Text
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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Context
The dataset tabulates the Thompson'S Station population by age. The dataset can be utilized to understand the age distribution and demographics of Thompson'S Station.
The dataset constitues the following three datasets
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/.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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Unemployed in Roane County, TN was 864.00000 Persons in March of 2025, according to the United States Federal Reserve. Historically, Unemployed in Roane County, TN reached a record high of 2789.00000 in June of 2009 and a record low of 694.00000 in April of 2023. Trading Economics provides the current actual value, an historical data chart and related indicators for Unemployed in Roane County, TN - last updated from the United States Federal Reserve on May of 2025.
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The mean "Center of Population" for each state in 2000, 2010 and 2020, as published by the United State Census Bureau, is shown in this layer..The population center for each state represents the point where a flat and rigid representation of the state would balance if identical weights for each person were placed at their residence. Looking at the movement of the point over time helps convey information about the predominant population trend in the county including areas loosing population or areas gaining population.For each location, the nearest feature from the US Geologic Survey Geographic Names Information System (GNIS) was appended along with the GNIS feature class and county where the point was located.
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Employed in Sequatchie County, TN was 6635.00000 Persons in March of 2025, according to the United States Federal Reserve. Historically, Employed in Sequatchie County, TN reached a record high of 6635.00000 in March of 2025 and a record low of 3539.00000 in August of 1990. Trading Economics provides the current actual value, an historical data chart and related indicators for Employed in Sequatchie County, TN - last updated from the United States Federal Reserve on May of 2025.
Context
The dataset tabulates the New Market population by age. The dataset can be utilized to understand the age distribution and demographics of New Market.
The dataset constitues the following three datasets
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/.
CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
License information was derived automatically
The Population Projections for the State of Tennessee, produced for the Tennessee State Data Center, contain projections for each county in Tennessee by race, age, and sex for each year from 2020 to 2070. Age is defined by five-year bands, starting with an “age 0-4” group and ending with an “age 85+” group. Race is delineated as one of four categories that combine race and ethnic definitions:White Non-HispanicBlack Non-HispanicAll HispanicOther non-Hispanic, including two or more races. Our forecast implements a cohort-component methodology. We specify the base year as 2000 and the launch year as 2021. Thus, we inform the forecast with trends from 2000 to 2020. Using vital statistics data from the Tennessee Department of Health, we project the population change resulting from natural components (births minus deaths). Differences between actual population values as reported by the Census and values predicted using births and deaths are used to establish net migration patterns. The forecast used these predicted net migration patterns; life tables from the Social Security Administration; recent average birth rates by county, race, and age of female; and forecast future U.S. populations.The 2020 base year population estimates for Tennessee Counties are from the 2020 Vintage Estimates of Population and Housing Units produced by the US Census Bureau.
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Unemployed in Hardeman County, TN was 449.00000 Persons in March of 2025, according to the United States Federal Reserve. Historically, Unemployed in Hardeman County, TN reached a record high of 1568.00000 in October of 2010 and a record low of 312.00000 in April of 2024. Trading Economics provides the current actual value, an historical data chart and related indicators for Unemployed in Hardeman County, TN - last updated from the United States Federal Reserve on May of 2025.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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Context
The dataset tabulates the New Hope population by age. The dataset can be utilized to understand the age distribution and demographics of New Hope.
The dataset constitues the following three datasets
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/.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
data for an online paper used