Overview

The Current Population Survey (CPS) is a monthly survey of households conducted by the Bureau of Census for the Bureau of Labor Statistics. It provides a comprehensive body of data on the labor force, employment, unemployment, persons not in the labor force, hours of work, earnings, and other demographic and labor force characteristics.

http://www.bls.gov/cps/home.htm

Explore Structure




Index Type Example Value
0 dict { }
... ... ...
Key Type Example Value Comment
"Month Name" str "January"
"Month" int 1
"Year" int 1972
Key Type Example Value Comment
"All" float 56.1
"Men" float 77.7
"Women" float 40.5
Key Type Example Value Comment
"All" float 58.1
"Men" float 76.2
"Women" float 50.9
Key Type Example Value Comment
"All" float 71169.0
"Men" float 41418.0
"Women" float 24403.0
Key Type Example Value Comment
"Counts" dict { }
"Employment-Population Ratio" dict { }
Key Type Example Value Comment
"All" float 75608.0
"Men" float 43514.0
"Women" float 25728.0
Key Type Example Value Comment
"Participation Rate" int 0
"Counts" int 0
Key Type Example Value Comment
"All" float 4439.0
"Men" float 2096.0
"Women" float 1325.0
Key Type Example Value Comment
"All" float 11.6
"Men" float 9.0
"Women" float 9.8
Key Type Example Value Comment
"All" float 7367.0
"Men" float 3802.0
"Women" float 3156.0
Key Type Example Value Comment
"All" float 59.7
"Men" float 81.7
"Women" float 42.7
Key Type Example Value Comment
"Counts" dict { }
"Unemployment Rate" dict { }
Key Type Example Value Comment
"Data" dict { } If the data is not a rate, then it is presented as the number in thousands
"Time" dict { }
Key Type Example Value Comment
"All" float 5.9
"Men" float 4.8
"Women" float 5.1
Key Type Example Value Comment
"Civilian Noninstitutional Population" dict { }
"Not In Labor Force" dict { }
"Unemployed" dict { }
"Civilian Labor Force" dict { }
"Employed" dict { }
Key Type Example Value Comment
"All" float 51.4
"Men" float 69.3
"Women" float 45.9
Key Type Example Value Comment
"Participation Rate" dict { }
"Counts" dict { }
Key Type Example Value Comment
"All" float 967.0
"Men" float 378.0
"Women" float 343.0
Key Type Example Value Comment
"Counts" int 0
"Unemployment Rate" int 0
Key Type Example Value Comment
"White" dict { }
"Black or African American" dict { }
"Asian" dict { }
Key Type Example Value Comment
"Counts" dict { }
"Unemployment Rate" dict { }
Key Type Example Value Comment
"White" float 126749.0
"Black or African American" float 14332.0
"Asian" int 0
Key Type Example Value Comment
"White" int 0
"Black or African American" float 5998.0
"Asian" int 0
Key Type Example Value Comment
"White" dict { }
"Black or African American" dict { }
"Asian" dict { }
Key Type Example Value Comment
"Counts" dict { }
"Employment-Population Ratio" dict { }
Key Type Example Value Comment
"Participation Rate" dict { }
"Counts" dict { }
Key Type Example Value Comment
"All" float 8334.0
"Men" float 4180.0
"Women" float 3498.0
Key Type Example Value Comment
"White" dict { }
"Black or African American" dict { }
"Asian" dict { }
Key Type Example Value Comment
"Counts" int 0
"Unemployment Rate" int 0

Downloads

Download all of the following files.

Usage

This library has 1 function you can use.
import labor
list_of_result = labor.get_results()

Documentation

 labor.get_results()

Returns the results of the survey for each month, stretching back several decades.