Variant A state include: https://api.datausa.io/tesseract/data.jsonrecords?cube=pums_5&drilldowns=State,Year&include=Industry Group:4481;Workforce Status:true;State:04000US06&locale=en&measures=Total Population

Variant B state and year include: https://api.datausa.io/tesseract/data.jsonrecords?cube=pums_5&drilldowns=State,Year&include=Industry Group:4481;Workforce Status:true;State:04000US06;Year:2015,2016,2017&locale=en&measures=Total Population

Variant C query filters: https://api.datausa.io/tesseract/data.jsonrecords?cube=pums_5&drilldowns=State,Year&include=Industry Group:4481;Workforce Status:true&State=04000US06&Year=2015,2016,2017&locale=en&measures=Total Population

Schema: https://api.datausa.io/tesseract/cubes/pums_5 State members: https://api.datausa.io/tesseract/members?cube=pums_5&level=State California name filter: https://api.datausa.io/tesseract/data.jsonrecords?cube=pums_5&drilldowns=State,Year&include=Industry Group:4481;Workforce Status:true;State:California&locale=en&measures=Total Population California short filter: https://api.datausa.io/tesseract/data.jsonrecords?cube=pums_5&drilldowns=State,Year&include=Industry Group:4481;Workforce Status:true;State:06&locale=en&measures=Total Population

Data USA Massachusetts Oct15 prep: https://api.datausa.io/tesseract/members?cube=pums_5&level=Industry Sector https://api.datausa.io/tesseract/data.jsonrecords?cube=pums_5&drilldowns=Industry Sector,Year&measures=Total Population&include=State:04000US25;Workforce Status:true https://api.datausa.io/tesseract/data.jsonrecords?cube=pums_5&drilldowns=Industry Group,Year&measures=Total Population,Record Count&include=State:04000US25;Workforce Status:true;Year:2015&parents=true&filters=Record Count.gte.5&exclude=Industry Group:0

PrepMAEduHealthYearOnlyFeb12F

MA-sector-61-62-all-states-SEP21

https://api.datausa.io/tesseract/data.jsonrecords?cube=pums_5&drilldowns=Year&include=State:04000US25;Industry Sector:61-62;Workforce Status:true&measures=Total Population

Massachusetts sector 61-62 years: https://api.datausa.io/tesseract/data.jsonrecords?cube=pums_5&drilldowns=State,Year&include=Industry Sector:61-62;State:04000US25;Workforce Status:true&locale=en&measures=Total Population

Maids female 2015 direct: https://api.datausa.io/calcs/pums.jsonrecords?cube=pums_5&drilldowns=Year,Gender&measures=Average Wage,Average Wage Appx MOE,Record Count&include=Workforce Status:true;Nation:01000US;Detailed Occupation:372012&locale=en&filters=Record Count.gte.5

FAF transportation equipment California 2017 bridge: FAF-CA-2017

Mar09 all-state 2015-2017 variant: https://api.datausa.io/tesseract/data.jsonrecords?cube=pums_5&drilldowns=State,Year&include=Industry Group:4481;Workforce Status:true;Year:2015,2016,2017&locale=en&measures=Total Population

CSV all-state 2015-2017 Jun05: https://api.datausa.io/tesseract/data.csv?cube=pums_5&drilldowns=State,Year&include=Industry Group:4481;Workforce Status:true;Year:2015,2016,2017&locale=en&measures=Total Population

Texas bridge page: ClothingTexasMar19X194748