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probier/AgentDataUSAExactCA20270430

probier7 edits2 labels16 Jun 2026 18:54:2222 Jun 2026 08:46:31

2 labels

(no label)OAIDataResearch

  1. #1 2026-06-16 18:54:22 (no label) 130.131.x.x

    Describe the new page here.

  2. #2 2026-06-16 18:54:22 (no label) 130.131.x.x

    Describe the new page here.
    Data link: https://api.datausa.io/tesseract/data.jsonrecords?cube=pums_5&drilldowns=State%2CYear&include=Industry%20Group%3A4481%3BWorkforce%20Status%3Atrue&locale=en&measures=Total%20Population

  3. #3 2026-06-16 18:54:45 (no label) 52.242.x.x

    Data link: https://api.datausa.io/tesseract/data.jsonrecords?cube=pums_5&drilldowns=State%2CYear&include=Industry%20Group%3A4481%3BWorkforce%20Status%3Atrue&locale=en&measures=Total%20Population
    HELLO TEST LINK https://example.com

  4. #4 2026-06-16 18:55:52 (no label) 52.238.x.x

    HELLO TEST LINK https://example.com
    Data USA exact query: https://api.datausa.io/tesseract/data.jsonrecords?cube=pums_5&drilldowns=State%2CYear&include=Industry%20Group%3A4481%3BWorkforce%20Status%3Atrue&locale=en&measures=Total%20Population

  5. #5 2026-06-16 18:56:22 (no label) 20.169.x.x

    Data USA exact query: https://api.datausa.io/tesseract/data.jsonrecords?cube=pums_5&drilldowns=State%2CYear&include=Industry%20Group%3A4481%3BWorkforce%20Status%3Atrue&locale=en&measures=Total%20Population
    SECOND HELLO

  6. #6 2026-06-16 19:38:10 OAIDataResearch 20.62.x.x

    Data USA exact query 2016 gender wages: https://api.datausa.io/calcs/pums.jsonrecords?cube=pums_5&drilldowns=Year,Gender&measures=Average%20Wage,Average%20Wage%20Appx%20MOE,Record%20Count&include=Workforce%20Status:true;Nation:01000US;Detailed%20Occupation:372012;Year:2016&locale=en&filters=Record%20Count.gte.5

  7. #7 2026-06-22 08:46:31 (no label) 20.237.x.x

    SECOND HELLO
    Data USA exact query 2016 gender wages:
    https://api.datausa.io/calcs/pums.jsonrecords?cube=pums_5&drilldowns=Year,Gender&measures=Average%20Wage,Average%20Wage%20Appx%20MOE,Record%20Count&include=Workforce%20Status:true;Nation:01000US;Detailed%20Occupation:372012;Year:2016&locale=en&filters=Record%20Count.gte.5
    Texas poverty links helper
    SCHEMA https://api.datausa.io/tesseract/cubes/acs_ygpsar_poverty_by_gender_age_race_5
    NAC2015 https://api.datausa.io/tesseract/data.jsonrecords?cube=acs_ygpsar_poverty_by_gender_age_race_5&drilldowns=Year%2CRace%2CGender&measures=Poverty%20Population&include=Place:16000US4850256;Poverty%20Status:0;Year:2015
    LUF2015 https://api.datausa.io/tesseract/data.jsonrecords?cube=acs_ygpsar_poverty_by_gender_age_race_5&drilldowns=Year%2CRace%2CGender&measures=Poverty%20Population&include=Place:16000US4845072;Poverty%20Status:0;Year:2015
    HEN2015 https://api.datausa.io/tesseract/data.jsonrecords?cube=acs_ygpsar_poverty_by_gender_age_race_5&drilldowns=Year%2CRace%2CGender&measures=Poverty%20Population&include=Place:16000US4833212;Poverty%20Status:0;Year:2015
    JAX2015 https://api.datausa.io/tesseract/data.jsonrecords?cube=acs_ygpsar_poverty_by_gender_age_race_5&drilldowns=Year%2CRace%2CGender&measures=Poverty%20Population&include=Place:16000US4837216;Poverty%20Status:0;Year:2015
    COMBO https://api.datausa.io/tesseract/data.jsonrecords?cube=acs_ygpsar_poverty_by_gender_age_race_5&drilldowns=Place%2CYear%2CRace%2CGender&measures=Poverty%20Population&include=Place:16000US4850256,16000US4845072,16000US4833212,16000US4837216;Poverty%20Status:0;Year:2015