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The population count of Oakland, TN was 7,707 in 2018.

Population

Population Change

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

1. ODN datasets and APIs are subject to change and may differ in format from the original source data in order to provide a user-friendly experience on this site.

2. To build your own apps using this data, see the ODN Dataset and API links.

3. If you use this derived data in an app, we ask that you provide a link somewhere in your applications to the Open Data Network with a citation that states: "Data for this application was provided by the Open Data Network" where "Open Data Network" links to http://opendatanetwork.com. Where an application has a region specific module, we ask that you add an additional line that states: "Data about REGIONX was provided by the Open Data Network." where REGIONX is an HREF with a name for a geographical region like "Seattle, WA" and the link points to this page URL, e.g. http://opendatanetwork.com/region/1600000US5363000/Seattle_WA

Demographics and Population Datasets Involving Oakland, TN

  • API

    NYCHA Resident Data Book Summary

    data.cityofnewyork.us | Last Updated 2020-02-08T00:56:30.000Z

    Contains resident demographic data at a summary level as of January 1, 2019. The Resident Data Book is compiled to serve as an information source for queries involving resident demographic as well as a source of data for internal analysis. Statistics are compiled via HUD mandated annual income reviews involving NYCHA Staff and residents. Data is then aggregated and compiled by development. Each record pertains to a single public housing development.

  • API

    Number of Deaths with Rates per 1,000 Population, Tennessee Resident Data 2019

    healthdata.tn.gov | 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

    healthdata.tn.gov | Last Updated 2023-06-29T20:02:12.000Z

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

  • API

    Homelessness

    data.oaklandca.gov | Last Updated 2018-10-01T22:14:47.000Z

    Homelessness is measured by number of homeless individuals per 100,000 individuals in the general population. Homelessness data was available by race and ethnicity, separately. Both sheltered and unsheltered homeless individuals are captured in the homelessness counts, to provide a fuller picture of the homeless population.

  • API

    Staffing - Representation

    data.oaklandca.gov | Last Updated 2018-10-01T22:14:47.000Z

    This Indicator measures the rate of sworn staff in OPD per 100,000 people of the same race/ethnicity in Oakland, in other words how representative are the sworn staff of the Oakland population? Numbers of sworn staff are as of February 28, 2018.

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    Bronx Zip Population and Density

    bronx.lehman.cuny.edu | Last Updated 2012-10-21T14:06:17.000Z

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

  • API

    HIV Diagnoses

    data.oaklandca.gov | Last Updated 2018-10-01T22:14:27.000Z

    This Indicator measures the rate of new HIV diagnoses per 100,000 population for each racial and ethnic group from 2014-2016 in Alameda County. The Alameda County Public Health Department’s HIV Epidemiology and Surveillance Unit is required to report new HIV diagnoses, which is a proxy for new HIV transmissions which are difficult to capture.

  • API

    Indicators of Anxiety or Depression Based on Reported Frequency of Symptoms During Last 7 Days

    data.cdc.gov | Last Updated 2024-09-13T18:42:19.000Z

    The U.S. Census Bureau, in collaboration with five federal agencies, launched the Household Pulse Survey to produce data on the social and economic impacts of Covid-19 on American households. The Household Pulse Survey was designed to gauge the impact of the pandemic on employment status, consumer spending, food security, housing, education disruptions, and dimensions of physical and mental wellness. The survey was designed to meet the goal of accurate and timely weekly estimates. It was conducted by an internet questionnaire, with invitations to participate sent by email and text message. The sample frame is the Census Bureau Master Address File Data. Housing units linked to one or more email addresses or cell phone numbers were randomly selected to participate, and one respondent from each housing unit was selected to respond for him or herself. Estimates are weighted to adjust for nonresponse and to match Census Bureau estimates of the population by age, gender, race and ethnicity, and educational attainment. All estimates shown meet the NCHS Data Presentation Standards for Proportions,

  • API

    NYSERDA Low- to Moderate-Income New York State Census Population Analysis Dataset: Average for 2013-2015

    data.ny.gov | 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 OpenNY@nyserda.ny.gov. 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 (https://www.nyserda.ny.gov/lmi-tool). 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 https://www.nyserda.ny.gov/lmi-tool. 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).

  • API

    Chronic Disease Preventable Hospitalizations

    data.oaklandca.gov | Last Updated 2018-10-01T22:14:43.000Z

    This Indicator measures the age-adjusted rate of chronic diseases preventable hospitalizations. “Preventable hospitalizations” are inpatient hospital stays that could have been avoided with improved access to and quality of outpatient care. They are measured by prevention quality indicators (PQIs). PQI #92, the chronic composite, is a summary measure which captures preventable hospitalizations from diabetes-related, respiratory-related and circulatory system-related preventable hospitalizations for adults, such as uncontrolled diabetes, asthma, and heart failure.(Source:http://www.healthyalamedacounty.org/indicators/index/view?indicatorId=2480&locale Id=238) This Indicator compares zip codes in which more than 60% of the population is non-White to those in which more than 60% of the population is White. The third category of zip codes is those in which the population is racially and ethnically mixed. Data is from 2013 through the third quarter of 2015.