- Population
The population rate of change of Three Way, TN was -4.64% in 2013.
Population
Population Change
Above charts are based on data from the U.S. Census American Community Survey | ODN Dataset | API -
Demographics and Population Datasets Involving Three Way, TN
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Number of Deaths with Rates per 1,000 Population, Tennessee Resident Data 2019
healthdata.tn.gov | Last Updated 2023-06-26T17:24:28.000ZInformation on tabulated counts and crude death rates of Tennessee residents in 2019 by race, ethnicity, and geography in TN.
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Live Births and General Fertility Rates per 1,000 Females Aged 15-44
healthdata.tn.gov | Last Updated 2023-06-29T20:02:12.000ZTabulated live birth counts and general fertility rates of Tennessee residents within the year 2019.
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Health Care Coverage Status (BRFSS): 2007-2010
health.data.ny.gov | Last Updated 2018-11-29T14:11:23.000ZBehavioral Risk Factor Surveillance System (BRFSS) sample data were used to generate annual percentages of non-institutionalized adult (18+) NYS residents with/without health insurance coverage. Health care coverage percentages are provided for 2007 to 2010, and are available for a range of demographic and geographic categories (New York City/Rest of State; Sex; Race/Ethnicity; Age; Education; Income; Limitation Status; Employment Status; Mental Health Status). BRFSS is a random digit dialing (RDD) phone survey of the health status and health behaviors of adult NYS residents. The sample covers between 6,000 and 9,000 completed interviews annually through this timeframe. Data for 2011 forward are available at: https://health.data.ny.gov/Health/Health-Care-Coverage-Status-BRFSS-Beginning-2011/g5ce-hdeb
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Health Care Coverage Status (BRFSS): Beginning 2011
health.data.ny.gov | Last Updated 2018-11-29T14:13:36.000ZBehavioral Risk Factor Surveillance System (BRFSS) sample data were used to generate annual percentages of non-institutionalized adult (18+) NYS residents with/without health insurance coverage. Health care coverage percentages are provided for 2011 forward, and are available for a range of demographic and geographic categories (New York City/Rest of State; DSRIP Region; Sex; Race/Ethnicity; Age; Education; Income; Limitation Status (through 2017); Disability Status (beginning in 2016); Employment Status; and Mental Health Status). BRFSS is a random digit dialing (RDD) phone survey of the health status and health behaviors of adult NYS residents. The sample covers between 6,800 and 36,000 completed interviews annually through this timeframe.
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Demographics For Unincorporated Areas In San Mateo County
datahub.smcgov.org | Last Updated 2018-10-25T21:45:46.000ZDemographics, including median income, total population, race, ethnicity, and age for unincorporated areas in San Mateo County. This data comes from the 2012 American Community Survey 5 year estimates DP03 and DP05 files. They Sky Londa area is located within two Census Tracts. The data for Sky Londa is the sum of both of those Census Tracts. Users of this data should take this into account when using data for Sky Londa.
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Labor Force Demographic Characteristics by Commuting Mode Split: 2012 - 2016
data.cambridgema.gov | Last Updated 2024-05-06T21:33:09.000ZThis data set provides demographic and journey to work characteristics of the Cambridge Labor Force by primary mode of their journey to work. Attributes include age, presence of children, racial and ethnic minority status, vehicles available, time leaving home, time spent traveling, and annual household income. The data set originates from a special tabulation of the American Community Survey - the 2012 - 2016 version of the Census Transportation Planning Products (CTPP). The Cambridge Labor Force consist of all persons who live in Cambridge who work or are actively seeking employment. For more information on Journey to Work data in Cambridge, please see the report Moving Forward: 2020 - https://www.cambridgema.gov/-/media/Files/CDD/FactsandMaps/profiles/demo_moving_forward_2020.pdf
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Workforce Demographic Characteristics by Commuting Mode Split : 2012 - 2016
data.cambridgema.gov | Last Updated 2024-05-06T21:39:43.000ZThis data set provides demographic and journey to work characteristics of the Cambridge Workforce by primary mode of their journey to work. Attributes include age, presence of children, racial and ethnic minority status, vehicles available, time arriving at work, time spent traveling, and annual household income. The data set originates from a special tabulation of the American Community Survey - the 2012 - 2016 version of the Census Transportation Planning Products (CTPP). The Cambridge Workforce consist of all persons who work in Cambridge, regardless of home location. For more information on Journey to Work data in Cambridge, please see the report Moving Forward: 2020 - https://www.cambridgema.gov/-/media/Files/CDD/FactsandMaps/profiles/demo_moving_forward_2020.pdf
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Hospital Inpatient Discharges (SPARCS De-Identified): 2014
health.data.ny.gov | Last Updated 2019-09-13T16:31:56.000ZThe Statewide Planning and Research Cooperative System (SPARCS) Inpatient De-identified File contains discharge level detail on patient characteristics, diagnoses, treatments, services, and charges. This data file contains basic record level detail for the discharge. The de-identified data file does not contain data that is protected health information (PHI) under HIPAA. The health information is not individually identifiable; all data elements considered identifiable have been redacted. For example, the direct identifiers regarding a date have the day and month portion of the date removed.
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2010 Census/ACS Basic Block Group Data
data.kcmo.org | Last Updated 2021-11-12T14:15:42.000Zbasic characteristics of people and housing for individual 2010 census block groups
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Hospital Inpatient Discharges (SPARCS De-Identified): 2015
health.data.ny.gov | Last Updated 2019-09-13T16:33:50.000ZThe Statewide Planning and Research Cooperative System (SPARCS) Inpatient De-identified File contains discharge level detail on patient characteristics, diagnoses, treatments, services, and charges. This data file contains basic record level detail for the discharge. The de-identified data file does not contain data that is protected health information (PHI) under HIPAA. The health information is not individually identifiable; all data elements considered identifiable have been redacted. For example, the direct identifiers regarding a date have the day and month portion of the date removed.