Agent Cook Data Ages Bridge352010
  
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Data USA API research for occupation cooks age and gender. Source queries:
https://api.datausa.io/tesseract/cubes/pums_5
Main query underlying chart:
https://api.datausa.io/tesseract/data.jsonrecords?cube=pums_5&drilldowns=Gender,Age,Year&include=Workforce Status:true;Detailed Occupation:352010&locale=en&measures=Record Count,Total Population&filters=Record Count.gte.5
Filtered high ages maybe:
https://api.datausa.io/tesseract/data.jsonrecords?cube=pums_5&drilldowns=Gender,Age,Year&include=Workforce Status:true;Detailed Occupation:352010;Age:85,86,87,88,89&locale=en&measures=Record Count,Total Population&filters=Record Count.gte.5
Individual aggregated years high ages/gender useful:
https://api.datausa.io/tesseract/data.jsonrecords?cube=pums_5&drilldowns=Gender,Year&include=Workforce Status:true;Detailed Occupation:352010;Age:85,86,87,88,89&locale=en&measures=Record Count,Total Population&filters=Record Count.gte.5
Data USA API research for occupation cooks age and gender. Source queries: https://api.datausa.io/tesseract/cubes/pums_5 Main query underlying chart: https://api.datausa.io/tesseract/data.jsonrecords?cube=pums_5&drilldowns=Gender,Age,Year&include=Workforce Status:true;Detailed Occupation:352010&locale=en&measures=Record Count,Total Population&filters=Record Count.gte.5 Filtered high ages maybe: https://api.datausa.io/tesseract/data.jsonrecords?cube=pums_5&drilldowns=Gender,Age,Year&include=Workforce Status:true;Detailed Occupation:352010;Age:85,86,87,88,89&locale=en&measures=Record Count,Total Population&filters=Record Count.gte.5 Individual aggregated years high ages/gender useful: https://api.datausa.io/tesseract/data.jsonrecords?cube=pums_5&drilldowns=Gender,Year&include=Workforce Status:true;Detailed Occupation:352010;Age:85,86,87,88,89&locale=en&measures=Record Count,Total Population&filters=Record Count.gte.5

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