The median earnings of Mountain Home Micro Area (ID) was $26,007 in 2016.

Earnings and Gender

Earnings and Education

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.

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Jobs and Earnings Datasets Involving Mountain Home Micro Area (ID)

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    Manufactured Home Park Registrations | Last Updated 2017-02-17T17:50:47.000Z

    This dataset captures the park name, address, and county in which a maufactured home park is located; the number of site capacity and number of occupied sites; and the name and contact number for the park owner/operator. New York State Homes and Community Renewal’s (HCR) Division of Housing and Community Renewal (DHCR) oversees the registration of these parks in accordance with NYS Real Property Law Section 233 sub-section (v.) which requires owners of manufactured home parks with three or more homes register their park with DHCR.

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    Licensed Cabs ID And Safety - Edmonton Insight Community | Last Updated 2015-07-08T17:26:52.000Z

    This was one single topic among many as part of the January Mixed Topic survey. Test link to view these questions: Open from January 11 - 20, 2015. At the time the survey was launched survey invitations were sent to 2159 Insight Community Members. 1070 members completed the survey which represents a completion rate of 50%. A total of 1178 respondents completed the survey: 1070 Insight Community Members and 108 using the anonymous link which will have no demographic info.

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    Public Libraries | Last Updated 2014-01-02T18:11:22.000Z

    Public Libraries in the State of Vermont. Data from 2007 - 2012 including visitor and financial information.

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    Affordable Housing Inventory (AHI) | Last Updated 2018-01-19T20:43:08.000Z

    This dataset is an inventory of income-restricted affordable housing funded and/or incentivized by the City of Austin and/or the Austin Housing Finance Corporation (AHFC). No warranty is made by the City of Austin regarding the specific accuracy or completeness of this dataset.

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    State Profiles: FY 2014 Public Libraries Survey (Data) | Last Updated 2017-09-07T15:48:11.000Z

    Pull up a state's profile to find state-level totals on key data such as numbers of libraries and librarians, revenue and expenditures, and collection sizes.<br><br>These data include imputed values for libraries that did not submit information in the FY 2014 data collection. Imputation is a procedure for estimating a value for a specific data item where the response is missing. <br><br>Download PLS data files to see imputation flag variables or learn more on the imputation methods used in FY 2014 at

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    2012 Community Survey Results | Last Updated 2016-11-03T20:31:06.000Z

    The Office of Internal Audit (OIA) conducts an annual survey of Chattanooga residents to gather their views of city services. The reports provide an overview of perspectives expressed by the residents who responded to the survey as well as detail results of the survey. - See more at:

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    Medicare Hospice Use and Spending by Provider Aggregate Report, CY 2014 | Last Updated 2017-10-31T15:50:27.000Z

    The Hospice Utilization and Payment Public Use File (Hospice PUF) provides information on services provided to Medicare beneficiaries by hospice providers. The Hospice PUF contains information on utilization, payment (Medicare payment and standard payment), submitted charges, primary diagnoses, sites of service, and hospice beneficiary demographics organized by CMS Certification Number (6-digit provider identification number) and state. This PUF is based on information from CMS’s Chronic Conditions Data Warehouse (CCW) data files. The data in the Hospice PUF covers calendar year 2014 and contains 100% final-action (i.e., all claim adjustments have been resolved) hospice claims for the Medicare population including beneficiaries enrolled in a Medicare Advantage plan.

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    2015 Live Well San Diego Indicators Upload | Last Updated 2016-10-13T20:20:58.000Z

    Variation in city estimates with corresponding SRA estimates may differ due to geographic boundaries and variation in population distribution. * Due to statistical instability, the SRA estimate was used.

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    Monthly Medicaid Payments & Recipients By County | Last Updated 2017-12-27T23:01:48.000Z

    This dataset contains aggregate Medicaid payments, and counts for eligible recipients and recipients served by month and county, starting with month ending 1/31/2011. Eligibility groups are a category of people who meet certain common eligibility requirements. Some Medicaid eligibility groups cover additional services, such as nursing facility care and care received in the home. Others have higher income and resource limits, charge a premium, only pay the Medicare premium or cover only expenses also paid by Medicare, or require the recipient to pay a specific dollar amount of their medical expenses. Eligible Medicaid recipients may be considered medically needy if their medical costs are so high that they use up most of their income. Those considered medically needy are responsible for paying some of their medical expenses. This is called meeting a spend down. Then Medicaid would start to pay for the rest. Think of the spend down like a deductible that people pay as part of a private insurance plan.

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    Durham Compass Data - by Census Blockgroups | Last Updated 2015-02-21T02:49:07.000Z

    Most recent Demographic, % Racial, Unmaintained Properties Data, etc. See Data Key for descriptions: LIST: Total Population Population Density White/Caucasian Black/African American Asian Hispanic/Latino Other Race Median Age Race/Ethnic Diversity Youth Population Retirement-Age Population Land Use Diversity Median Household Income Per Capita Income Residential Building Permit Values Commercial Building Permit Values Supplemental Security Income Crimes Involving Property Crimes with a Violent Component Drug-Related Crimes Renter-Occupied Housing Rent 30% or More of Income Monthly Owners Costs 30% or More of Income Minimum housing code violations Unmaintained Property Violations Average Age of Residential Property Percent Commuting 30 Minutes or More Percent of Commuters Driving Alone Tree Canopy Impervious Area Automotive Code Violations Sidewalk-to-Roadway Ratio Commuting to Work by Bicycle Commuting to Work by Foot Households Within Walking Distance to Bus Stops Number of Daily Bus Arrivals Number of Nightly Bus Arrivals Working from Home Households Within Walking Distance to Banks Households Within Walking Distance to Full Service Grocers Households Within Walking Distance to Pharmacies