Overview

The following data set is information obtained about states in the United States from 2007 through 2014 through the United States Census Bureau. Information described in the data includes the age distributions, the education levels, employment statistics, ethnicity percents, houseold information, income, and other miscellneous statistics.

http://www.census.gov/quickfacts/table/PST045215/00

Explore Structure




Index Type Example Value
0 dict { }
... ... ...
Key Type Example Value Comment
"Housing Units" int 133957180 2014
"Units in Multi-Unit Structures" float 26.0 percent, 2009-2013
"Median Value of Owner-Occupied Units" int 176700 2009-2013
"Households" int 115610216 2009-2013
"Persons per Household" float 2.63
"Homeownership Rate" float 64.9 2009-2013
Key Type Example Value Comment
"Percent Under 18 Years" float 23.1
"Percent 65 and Older" float 14.5
"Percent Under 5 Years" float 6.2
Key Type Example Value Comment
"Manufacturers Shipments" int 53194563 $100,000 of dollars, 2007
"Foreign Born" float 12.9 percent 2009-2013
"Percent Female" float 50.8 2014
"Language Other than English at Home" float 20.7 age 5+, percent, 2009-2013
"Living in Same House +1 Years" float 84.9 percent, 2009-2013
"Mean Travel Time to Work" float 25.5 minutes, workers aged 16+, 2009-2013
"Building Permits" int 1046363 2014
"Veterans" int 21263779 2009-2013
"Land Area" float 3531905.43 Square Miles, 2010
Key Type Example Value Comment
"White Alone, not Hispanic or Latino" float 62.1
"Two or More Races" float 2.5
"Asian Alone" float 5.4
"Native Hawaiian and Other Pacific Islander Alone" float 0.2
"White Alone" float 77.4
"Hispanic or Latino" float 17.4
"Black Alone" float 13.2
"American Indian and Alaska Native Alone" float 1.2
Key Type Example Value Comment
"Total" int 27092908
"Hispanic-Owned" float 8.3
"Native Hawaiian and Other Pacific Islander-Owned" float 0.1
"American Indian-Owned" float 0.9
"Black-Owned" float 7.1
"Asian-Owned" float 5.7
"Women-Owned" float 28.8
Key Type Example Value Comment
"Retail Sales" int 39176634 $100,000 of dollars
"Merchant Wholesaler Sales" int 41742865 $100,000 of dollars
"Accommodation and Food Services Sales" int 6137957 $100,000 of dollars
"Retail Sales per Capita" int 12990
Key Type Example Value Comment
"Median Houseold Income" int 53046
"Per Capita Income" int 28155 2013 dollars
"Persons Below Poverty Level" float 15.4
Key Type Example Value Comment
"Bachelor's Degree or Higher" float 28.8
"High School or Higher" float 86.0
Key Type Example Value Comment
"Ethnicities" dict { } percent, 2014
"Age" dict { } percent, 2014
"Miscellaneous" dict { }
"Sales" dict { } 2007
"State" str "United States"
"Income" dict { } 2009-2013
"Education" dict { } percent, 2009-2013
"Employment" dict { }
"Housing" dict { }
"Population" dict { }
Key Type Example Value Comment
"Private Non-farm Establishments" int 7488353 2013
"Private Non-farm Employment Percent Change" float 2.0 2012-2013
"Firms" dict { }
"Nonemployer Establishments" int 23005620 2013
"Private Non-farm Employment" int 118266253 2013
Key Type Example Value Comment
"2014 Population" int 318857056
"2010 Population" int 308745538
"Population per Square Mile" float 87.4 2010
"Population Percent Change" float 3.3 April 1, 2010 to July 1, 2014

Downloads

Download all of the following files.

Usage

This library has 1 function you can use.
import state_demographics
list_of_report = state_demographics.get_all_states()
Additionally, some of the functions can return a sample of the Big Data using an extra argument. If you use this sampled Big Data, it may be much faster. When you are sure your code is correct, you can remove the argument to use the full dataset.
import state_demographics
# These may be slow!
list_of_report = state_demographics.get_all_states(test=True)

Documentation

 state_demographics.get_all_states(test=False)

Returns the report for each state from the dataset.