The number of employees of East Lake-Orient Park, FL was 532 for business and finance in 2016. The number of employees of Vero Beach South, FL was 380 for business and finance in 2016.

Occupations

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

Jobs and Occupations Datasets Involving East Lake-Orient Park, FL or Vero Beach South, FL

  • API

    Permits by Business Type

    data.cityofgainesville.org | Last Updated 2017-07-17T14:15:41.000Z

  • API

    Tourism Nova Scotia Visitation

    data.novascotia.ca | Last Updated 2018-11-05T14:03:07.000Z

    Number of non resident overnight visitors to Nova Scotia. The dataset is broken down by visitor origin and mode of entry to the province. Data is reported monthly.

  • API

    Key Economic Indicators

    data.texas.gov | Last Updated 2018-11-16T22:02:26.000Z

    An economic indicator is a statistic about an economic activity, and they allow analysis of economic performance and predictions of current and future economic performance. The TX Comptroller’s Key Economic Indicators includes such measures for TX & the US employment and unemployment, consumer confidence, price inflation, housing data, etc. See https://comptroller.texas.gov/about/policies/privacy.php for more information on our agency’s privacy and security policies.

  • API

    RSBS SMO: Part 2 of 2, New York State Residential Statewide Baseline Study: Single and Multifamily Occupant Telephone or Web Survey

    data.ny.gov | Last Updated 2018-08-07T22:19:43.000Z

    This is part 2 (contains: Clothes Washing and Drying; Water Heating; Home Lighting; Pool and Spa; Small Household Appliances; and Miscellaneous Equipment) of 2; part 1 (https://data.ny.gov/d/3m6x-h3qa) contains: Behavior and Demographics; Building Shell; Kitchen Appliances; and Heating and Cooling. The New York State Energy Research and Development Authority (NYSERDA), in collaboration with the New York State Department of Public Service (DPS), conducted a statewide residential baseline study (study) from 2011 to 2014 of the single-family and multifamily residential housing segments, including new construction, and a broad range of energy uses and efficiency measures. This dataset includes 2,982 single-family and 379 multifamily occupant survey completes for a total of 3,361 responses. The survey involved 2,285 Web, 1,041 telephone, and 35 mini-inspection surveys. The survey collected information on the following building characteristics: building shell, kitchen appliances, heating and cooling equipment, water heating equipment, clothes washing and drying equipment, lighting, pool and spa equipment, small household appliances, miscellaneous energy consuming equipment, as well as behaviors and characteristics of respondents.

  • API

    RSBS SMO: Part 1 of 2, New York State Residential Statewide Baseline Study: Single and Multifamily Occupant Telephone or Web Survey

    data.ny.gov | Last Updated 2018-08-07T22:17:39.000Z

    This is part 1 (contains: Behavior and Demographics; Building Shell; Kitchen Appliances; and Heating and Cooling) of 2; part 2 (https://data.ny.gov/d/87mp-9bnv) contains: Clothes Washing and Drying; Water Heating; Home Lighting; Pool and Spa; Small Household Appliances; and Miscellaneous Equipment. The New York State Energy Research and Development Authority (NYSERDA), in collaboration with the New York State Department of Public Service (DPS), conducted a statewide residential baseline study (study) from 2011 to 2014 of the single-family and multifamily residential housing segments, including new construction, and a broad range of energy uses and efficiency measures. This dataset includes 2,982 single-family and 379 multifamily occupant survey completes for a total of 3,361 responses. The survey involved 2,285 Web, 1,041 telephone, and 35 mini-inspection surveys. The survey collected information on the following building characteristics: building shell, kitchen appliances, heating and cooling equipment, water heating equipment, clothes washing and drying equipment, lighting, pool and spa equipment, small household appliances, miscellaneous energy consuming equipment, as well as behaviors and characteristics of respondents.

  • API

    Median Household Income All States 2000-2012

    opendata.utah.gov | Last Updated 2014-10-31T18:29:13.000Z

    Median Household Income All States 2000-2012

  • API

    Number Of People In Poverty All States 2000-2012

    opendata.utah.gov | Last Updated 2014-10-31T18:32:57.000Z

    Number Of People In Poverty All States 2000-2012

  • API

    State Profiles: FY 2014 Public Libraries Survey (Data)

    data.imls.gov | 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 https://www.imls.gov/research-evaluation/data-collection/public-libraries-survey/explore-pls-data/pls-data