Daily COVID data for all of TN. Source dataset can be found here: https://www.tn.gov/health/cedep/ncov/data/downloadable-datasets.html Data dictionary provided by TN Department of Health download link: https://www.tn.gov/content/dam/tn/health/documents/cedep/novel-coronavirus/datasets/Public-Dataset-Data-Dictionary.xlsx

The Tennessee Comptroller of the Treasury (TN COMP) uses SSA's assistance in administering the Tennessee Property Tax Rebate Program. SSA provides assistance through SVES regarding SSA recipients who reside in Tennessee and claim to be eligible for the rebate program. This information allows TN COMP to verify the accuracy of income and entitlement decisions.(R-527)

Graph and download economic data for Unemployment Rate in White County, TN (TNWHIT5URN) from Jan 1990 to Dec 2024 about White County, TN; TN; unemployment; rate; and USA.

About this dataset

Context

The dataset tabulates the data for the Knoxville, TN population pyramid, which represents the Knoxville population distribution across age and gender, using estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. It lists the male and female population for each age group, along with the total population for those age groups. Higher numbers at the bottom of the table suggest population growth, whereas higher numbers at the top indicate declining birth rates. Furthermore, the dataset can be utilized to understand the youth dependency ratio, old-age dependency ratio, total dependency ratio, and potential support ratio.

Key observations

• Youth dependency ratio, which is the number of children aged 0-14 per 100 persons aged 15-64, for Knoxville, TN, is 21.6.
• Old-age dependency ratio, which is the number of persons aged 65 or over per 100 persons aged 15-64, for Knoxville, TN, is 20.7.
• Total dependency ratio for Knoxville, TN is 42.3.
• Potential support ratio, which is the number of youth (working age population) per elderly, for Knoxville, TN is 4.8.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Age groups:

• Under 5 years
• 5 to 9 years
• 10 to 14 years
• 15 to 19 years
• 20 to 24 years
• 25 to 29 years
• 30 to 34 years
• 35 to 39 years
• 40 to 44 years
• 45 to 49 years
• 50 to 54 years
• 55 to 59 years
• 60 to 64 years
• 65 to 69 years
• 70 to 74 years
• 75 to 79 years
• 80 to 84 years
• 85 years and over

Variables / Data Columns

• Age Group: This column displays the age group for the Knoxville population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Knoxville for the selected age group is shown in the following column.
• Population (Female): The female population in the Knoxville for the selected age group is shown in the following column.
• Total Population: The total population of the Knoxville for the selected age group 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 Knoxville Population by Age. You can refer the same here

This dataset provides information about the number of properties, residents, and average property values for Highway 49 cross streets in Tennessee Ridge, TN.

This product represents corporate boundaries as submitted and/or verified to the Comptroller of the Treasury by the various municipalities in Tennessee per Tennessee Code Annotated § 6-51-12. This product is distributed in the hope that it will be useful but without any warranty. The user of this product acknowledges that the data contains some nonconformities, defects or errors. There is no warranty that the data will meet any user’s needs or expectations, that the availability of this data will be uninterrupted, or that any nonconformities, defects or errors can and will be corrected. The Office of the Comptroller assumes no liability regarding this data. Please direct any comments or concerns you may have to the municipality in question.

This resource is a member of a series. The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). The MTDB represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line shapefile is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. The All Roads Shapefile includes all features within the MTDB Super Class "Road/Path Features" distinguished where the MAF/TIGER Feature Classification Code (MTFCC) for the feature in MTDB that begins with "S". This includes all primary, secondary, local neighborhood, and rural roads, city streets, vehicular trails (4wd), ramps, service drives, alleys, parking lot roads, private roads for service vehicles (logging, oil fields, ranches, etc.), bike paths or trails, bridle/horse paths, walkways/pedestrian trails, and stairways.

This line feature class contains rivers or river segments designated as Tennessee Scenic Rivers. The extents represented within do not constitute a survey product and are not legally binding. Limited attributes include river name, class designation, and calculated length where applicable. The data are updated twice per year (January and December) to reflect any changes made to the Act by the Tennessee General Assembly. For more information about Tennessee Scenic Rivers, visit the Tennessee Scenic Rivers Program web pages at https://www.tn.gov/environment/program-areas/na-natural-areas/na-sr-scenic-rivers-list/na-sr-national-and-state-scenic-rivers.htmlThe Tennessee Scenic Rivers Program is intended to preserve and protect the free flowing, unpolluted and outstanding scenic, recreational, geologic, botanical, fish, wildlife, historic or cultural values of selected rivers or river segments in the state. Twenty-one rivers or segments of rivers are included in the state scenic rivers program. Program oversight is provided by the Tennessee Department of Environment and Conservation (TDEC) in cooperation with the Tennessee Wildlife Resources Agency (TWRA). Rivers are managed cooperatively with other state and federal agencies and non-governmental organizations following the standards outlined in the Tennessee Scenic Rivers Act of 1968 (Title 11; Chapter 13) and the Rules for the Management of Tennessee Natural Resource Areas. Tennessee has one river included in the National Wild and Scenic Rivers Program which is managed cooperatively with the National Park Service and follows the standards outlined in the National Wild and Scenic Rivers Act (Public Law 90-542; 16 U.S.C. 1271 et seq.).

About this dataset

Context

The dataset tabulates the Decatur population over the last 20 plus years. It lists the population for each year, along with the year on year change in population, as well as the change in percentage terms for each year. The dataset can be utilized to understand the population change of Decatur across the last two decades. For example, using this dataset, we can identify if the population is declining or increasing. If there is a change, when the population peaked, or if it is still growing and has not reached its peak. We can also compare the trend with the overall trend of United States population over the same period of time.

Key observations

In 2023, the population of Decatur was 1,630, a 3.10% increase year-by-year from 2022. Previously, in 2022, Decatur population was 1,581, an increase of 0.25% compared to a population of 1,577 in 2021. Over the last 20 plus years, between 2000 and 2023, population of Decatur increased by 115. In this period, the peak population was 1,650 in the year 2019. The numbers suggest that the population has already reached its peak and is showing a trend of decline. Source: U.S. Census Bureau Population Estimates Program (PEP).

Content

When available, the data consists of estimates from the U.S. Census Bureau Population Estimates Program (PEP).

Data Coverage:

• From 2000 to 2023

Variables / Data Columns

• Year: This column displays the data year (Measured annually and for years 2000 to 2023)
• Population: The population for the specific year for the Decatur is shown in this column.
• Year on Year Change: This column displays the change in Decatur population for each year compared to the previous year.
• Change in Percent: This column displays the year on year change as a percentage. 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 Decatur Population by Year. You can refer the same here

About this dataset

Context

The dataset tabulates the population of Forest Hills by race. It includes the population of Forest Hills across racial categories (excluding ethnicity) as identified by the Census Bureau. The dataset can be utilized to understand the population distribution of Forest Hills across relevant racial categories.

Key observations

The percent distribution of Forest Hills population by race (across all racial categories recognized by the U.S. Census Bureau): 91.42% are white, 0.25% are Black or African American, 1.02% are Asian, 0.79% are some other race and 6.52% are multiracial.

Content

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:

• White
• Black or African American
• American Indian and Alaska Native
• Asian
• Native Hawaiian and Other Pacific Islander
• Some other race
• Two or more races (multiracial)

Variables / Data Columns

• Race: This column displays the racial categories (excluding ethnicity) for the Forest Hills
• Population: The population of the racial category (excluding ethnicity) in the Forest Hills is shown in this column.
• % of Total Population: This column displays the percentage distribution of each race as a proportion of Forest Hills 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 Forest Hills Population by Race & Ethnicity. You can refer the same here

The dataset presents a classification based on the importance of a road for the connectivity of the total road network according to the Inspiretema Transport Network (TN) FunctionalRoad Class.

The FunctionalRoad Class data set is generated from the following road data products: Functional road class The dataset is accessible via WMS, WFS and download of pre-generated files.

About this dataset

Context

The dataset tabulates the Dayton population over the last 20 plus years. It lists the population for each year, along with the year on year change in population, as well as the change in percentage terms for each year. The dataset can be utilized to understand the population change of Dayton across the last two decades. For example, using this dataset, we can identify if the population is declining or increasing. If there is a change, when the population peaked, or if it is still growing and has not reached its peak. We can also compare the trend with the overall trend of United States population over the same period of time.

Key observations

In 2023, the population of Dayton was 7,362, a 0.40% increase year-by-year from 2022. Previously, in 2022, Dayton population was 7,333, an increase of 3.06% compared to a population of 7,115 in 2021. Over the last 20 plus years, between 2000 and 2023, population of Dayton increased by 697. In this period, the peak population was 7,472 in the year 2013. The numbers suggest that the population has already reached its peak and is showing a trend of decline. Source: U.S. Census Bureau Population Estimates Program (PEP).

Content

When available, the data consists of estimates from the U.S. Census Bureau Population Estimates Program (PEP).

Data Coverage:

• From 2000 to 2023

Variables / Data Columns

• Year: This column displays the data year (Measured annually and for years 2000 to 2023)
• Population: The population for the specific year for the Dayton is shown in this column.
• Year on Year Change: This column displays the change in Dayton population for each year compared to the previous year.
• Change in Percent: This column displays the year on year change as a percentage. 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 Dayton Population by Year. You can refer the same here

About this dataset

Context

The dataset tabulates the population of Kingsport by gender, including both male and female populations. This dataset can be utilized to understand the population distribution of Kingsport across both sexes and to determine which sex constitutes the majority.

Key observations

There is a majority of female population, with 54.04% of total population being female. 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.

Scope of gender :

Please note that American Community Survey asks a question about the respondents current sex, but not about gender, sexual orientation, or sex at birth. The question is intended to capture data for biological sex, not gender. Respondents are supposed to respond with the answer as either of Male or Female. Our research and this dataset mirrors the data reported as Male and Female for gender distribution analysis. No further analysis is done on the data reported from the Census Bureau.

Variables / Data Columns

• Gender: This column displays the Gender (Male / Female)
• Population: The population of the gender in the Kingsport is shown in this column.
• % of Total Population: This column displays the percentage distribution of each gender as a proportion of Kingsport 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 Kingsport Population by Race & Ethnicity. You can refer the same here

About this dataset

Context

The dataset tabulates the population of Palmer by race. It includes the population of Palmer across racial categories (excluding ethnicity) as identified by the Census Bureau. The dataset can be utilized to understand the population distribution of Palmer across relevant racial categories.

Key observations

The percent distribution of Palmer population by race (across all racial categories recognized by the U.S. Census Bureau): 92.64% are white and 7.36% are multiracial.

Content

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:

• White
• Black or African American
• American Indian and Alaska Native
• Asian
• Native Hawaiian and Other Pacific Islander
• Some other race
• Two or more races (multiracial)

Variables / Data Columns

• Race: This column displays the racial categories (excluding ethnicity) for the Palmer
• Population: The population of the racial category (excluding ethnicity) in the Palmer is shown in this column.
• % of Total Population: This column displays the percentage distribution of each race as a proportion of Palmer 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 Palmer Population by Race & Ethnicity. You can refer the same here

COVID data in TN aggregated by age, county, and date. Source dataset can be found here: https://www.tn.gov/health/cedep/ncov/data/downloadable-datasets.html

About this dataset

Context

The dataset presents the median household income across different racial categories in Brentwood. It portrays the median household income of the head of household across racial categories (excluding ethnicity) as identified by the Census Bureau. The dataset can be utilized to gain insights into economic disparities and trends and explore the variations in median houshold income for diverse racial categories.

Key observations

Based on our analysis of the distribution of Brentwood population by race & ethnicity, the population is predominantly White. This particular racial category constitutes the majority, accounting for 82.64% of the total residents in Brentwood. Notably, the median household income for White households is $185,530. Interestingly, despite the White population being the most populous, it is worth noting that Asian households actually reports the highest median household income, with a median income of $235,729. This reveals that, while Whites may be the most numerous in Brentwood, Asian households experience greater economic prosperity in terms of median household income.

Content

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:

• White
• Black or African American
• American Indian and Alaska Native
• Asian
• Native Hawaiian and Other Pacific Islander
• Some other race
• Two or more races (multiracial)

Variables / Data Columns

• Race of the head of household: This column presents the self-identified race of the household head, encompassing all relevant racial categories (excluding ethnicity) applicable in Brentwood.
• Median household income: Median household income, adjusting for inflation, presented in 2023-inflation-adjusted dollars

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 Brentwood median household income by race. You can refer the same here

About this dataset

Context

The dataset tabulates the population of Millington by race. It includes the population of Millington across racial categories (excluding ethnicity) as identified by the Census Bureau. The dataset can be utilized to understand the population distribution of Millington across relevant racial categories.

Key observations

The percent distribution of Millington population by race (across all racial categories recognized by the U.S. Census Bureau): 50.03% are white, 32.21% are Black or African American, 0.18% are American Indian and Alaska Native, 2.75% are Asian, 0.09% are Native Hawaiian and other Pacific Islander, 6.54% are some other race and 8.19% are multiracial.

Content

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:

• White
• Black or African American
• American Indian and Alaska Native
• Asian
• Native Hawaiian and Other Pacific Islander
• Some other race
• Two or more races (multiracial)

Variables / Data Columns

• Race: This column displays the racial categories (excluding ethnicity) for the Millington
• Population: The population of the racial category (excluding ethnicity) in the Millington is shown in this column.
• % of Total Population: This column displays the percentage distribution of each race as a proportion of Millington 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 Millington Population by Race & Ethnicity. You can refer the same here

This map shows child care agencies operating in the Greater Chattanooga area. This map focuses on the location of the agency, program certification status for the facility, and children age acceptance.

Graph and download economic data for Unemployment Rate in Tipton County, TN (TNTIURN) from Jan 1990 to Jan 2025 about Tipton County, TN; Memphis; TN; unemployment; rate; and USA.

About this dataset

Context

The dataset presents the mean household income for each of the five quintiles in Springfield, TN, as reported by the U.S. Census Bureau. The dataset highlights the variation in mean household income across quintiles, offering valuable insights into income distribution and inequality.

Key observations

• Income disparities: The mean income of the lowest quintile (20% of households with the lowest income) is 17,472, while the mean income for the highest quintile (20% of households with the highest income) is 168,035. This indicates that the top earners earn 10 times compared to the lowest earners.
• *Top 5%: * The mean household income for the wealthiest population (top 5%) is 274,535, which is 163.38% higher compared to the highest quintile, and 1571.29% higher compared to the lowest quintile.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Income Levels:

• Lowest Quintile
• Second Quintile
• Third Quintile
• Fourth Quintile
• Highest Quintile
• Top 5 Percent

Variables / Data Columns

• Income Level: This column showcases the income levels (As mentioned above).
• Mean Household Income: Mean household income, in 2023 inflation-adjusted dollars for the specific income level.

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 Springfield median household income. You can refer the same here