The population rate of change of White County, TN was 0.70% in 2018.


Population Change

Above charts are based on data from the U.S. Census American Community Survey | ODN Dataset | API - Notes:

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Demographics and Population Datasets Involving White County, TN

  • API

    Bronx Zip Population and Density | Last Updated 2012-10-21T14:06:17.000Z

    2010 Census Data on population, pop density, age and ethnicity per zip code

  • API

    Number of Deaths with Rates per 1,000 Population, Tennessee Resident Data 2019 | Last Updated 2023-06-26T17:24:28.000Z

    Information on tabulated counts and crude death rates of Tennessee residents in 2019 by race, ethnicity, and geography in TN.

  • API

    Live Births and General Fertility Rates per 1,000 Females Aged 15-44 | Last Updated 2023-06-29T20:02:12.000Z

    Tabulated live birth counts and general fertility rates of Tennessee residents within the year 2019.

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    HR Race/Ethnicity Diversity | Last Updated 2024-05-01T07:38:29.000Z

    This dataset contains Pierce County's workforce diversity details by ethnicity, gender, and department.

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    Census Tracts | Last Updated 2015-06-12T13:57:20.000Z

    Prince George's County population figures by demographics for 2013. Figures are provided by the U.S. Census Bureau. This dataset gets updated as new figures are published by the U.S. Census Bureau (

  • API

    2016 San Diego County Demographic Profiles - Race and Ethnicity by City | Last Updated 2019-07-01T21:15:09.000Z

    The number and percent of the population by race and ethnicity. API refers to Asian/ Pacific Islanders and include Asian, Pacific Islander, and Native Hawaiian. Other Race includes American Indian or Alaska Native, 2 or more races, and other. Source: U.S. Census Bureau; 2011-2015 American Community Survey 5-Year Estimates, Table B03002.

  • API

    2017 San Diego County Demographics - Race and Ethnicity | Last Updated 2020-02-21T00:53:55.000Z

    This indicator shows total population broken down by race/ethnicity. Note: In previous iterations of the Demographic Profiles, American Indian/Aslakan Native (AIAN) had been part of the 'Other*' category. Beginning in 2017, 'AIAN' will be a unique category. People of Hispanic origin may be of any race. *API refers to Asian/ Pacific Islanders and include Asian, Pacific Islander, and Native Hawaiian; AIAN refers to American Indian/ Alaskan Natives; Other includes those of two or more races or other. Source: U.S. Census Bureau; 2013-2017 American Community Survey 5-Year Estimates, Table B03002.

  • API

    Social Vulnerability Index 2018 - United States, county | Last Updated 2022-02-14T14:19:58.000Z

    ATSDR’s Geospatial Research, Analysis & Services Program (GRASP) created Centers for Disease Control and Prevention Social Vulnerability Index (CDC SVI or simply SVI, hereafter) to help public health officials and emergency response planners identify and map the communities that will most likely need support before, during, and after a hazardous event. SVI indicates the relative vulnerability of every U.S. Census tract. Census tracts are subdivisions of counties for which the Census collects statistical data. SVI ranks the tracts on 15 social factors, including unemployment, minority status, and disability, and further groups them into four related themes. Thus, each tract receives a ranking for each Census variable and for each of the four themes, as well as an overall ranking. In addition to tract-level rankings, SVI 2018 also has corresponding rankings at the county level. Notes below that describe “tract” methods also refer to county methods.

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    Vaccine Hesitancy for COVID-19: County and local estimates | Last Updated 2021-06-17T20:27:47.000Z

    Due to the change in the survey instrument regarding intention to vaccinate, our estimates for “hesitant or unsure” or “hesitant” derived from April 14-26, 2021, are not directly comparable with prior Household Pulse Survey data and should not be used to examine trends in hesitancy. To support state and local communication and outreach efforts, ASPE developed state, county, and sub-state level predictions of hesitancy rates ( using the most recently available federal survey data. We estimate hesitancy rates at the state level using the U.S. Census Bureau’s Household Pulse Survey (HPS) ( data and utilize the estimated values to predict hesitancy rates at the Public Use Microdata Areas (PUMA) level using the Census Bureau’s 2019 American Community Survey (ACS) 1-year Public Use Microdata Sample (PUMS)( To create county-level estimates, we used a PUMA-to-county crosswalk from the Missouri Census Data Center( PUMAs spanning multiple counties had their estimates apportioned across those counties based on overall 2010 Census populations. The HPS is nationally representative and includes information on U.S. residents’ intentions to receive the COVID-19 vaccine when available, as well as other sociodemographic and geographic (state, region and metropolitan statistical areas) information. The ACS is a nationally representative survey, and it provides key sociodemographic and geographic (state, region, PUMAs, county) information. We utilized data for the survey collection period May 26, 2021 – June 7, 2021, which the HPS refers to as Week 31.. PUMA COVID-19 Hesitancy Data -

  • API

    NYSERDA Low- to Moderate-Income New York State Census Population Analysis Dataset: Average for 2013-2015 | Last Updated 2019-11-15T22:30:02.000Z

    How does your organization use this dataset? What other NYSERDA or energy-related datasets would you like to see on Open NY? Let us know by emailing The Low- to Moderate-Income (LMI) New York State (NYS) Census Population Analysis dataset is resultant from the LMI market database designed by APPRISE as part of the NYSERDA LMI Market Characterization Study ( All data are derived from the U.S. Census Bureau’s American Community Survey (ACS) 1-year Public Use Microdata Sample (PUMS) files for 2013, 2014, and 2015. Each row in the LMI dataset is an individual record for a household that responded to the survey and each column is a variable of interest for analyzing the low- to moderate-income population. The LMI dataset includes: county/county group, households with elderly, households with children, economic development region, income groups, percent of poverty level, low- to moderate-income groups, household type, non-elderly disabled indicator, race/ethnicity, linguistic isolation, housing unit type, owner-renter status, main heating fuel type, home energy payment method, housing vintage, LMI study region, LMI population segment, mortgage indicator, time in home, head of household education level, head of household age, and household weight. The LMI NYS Census Population Analysis dataset is intended for users who want to explore the underlying data that supports the LMI Analysis Tool. The majority of those interested in LMI statistics and generating custom charts should use the interactive LMI Analysis Tool at This underlying LMI dataset is intended for users with experience working with survey data files and producing weighted survey estimates using statistical software packages (such as SAS, SPSS, or Stata).