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Name:

Description:

Information about each state collected from both the official US Census website and from various other sources.

Variables:

  • state - State name.

  • abbr - State abbreviation (e.g. "MN").

  • fips - FIPS code.

  • pop2010 - Population in 2010.

  • pop2000 - Population in 2000.

  • homeownership - Homeownership rate.

  • multiunit - Percent of living units that are in multi-unit structures.

  • income - Average income per capita.

  • med_income - Median household income.

  • poverty - Poverty rate.

  • fed_spend - Federal spending per capita.

  • land_area - Land area.

  • smoke - Percent of population that smokes.

  • murder - Murders per 100,000 people.

  • robbery - Robberies per 100,000.

  • agg_assault - Aggravated assaults per 100,000.

  • larceny - Larcenies per 100,000.

  • motor_theft - Vehicle theft per 100,000.

  • soc_sec - Percent of individuals collecting social security.

  • nuclear - Percent of power coming from nuclear sources.

  • coal - Percent of power coming from coal sources.

  • tr_deaths - Traffic deaths per 100,000.

  • tr_deaths_no_alc - Traffic deaths per 100,000 where alcohol was not a factor.

  • unempl - Unemployment rate (February 2012, preliminary).

Link To Google Sheets:

Rows:

Columns:

License Type:

References/Notes/Attributions:

Source

Please note that we have not validated the Infochimps data. The other data were collected directly from the corresponding websites. US Census website (pop2010, pop2000, homeownership, multiunits, income, med_income, poverty, fed_spend, land_area), http://quickfacts.census.gov/qfd/index.html Infochimps (murder, robbery, agg_assault, larcent, motor_theftsoc_seccoalnuclear), http://www.infochimps.com (see linked pages and corresponding downloadable data sets for original source information) National Highway Traffic Safety Administration (tr_deaths, tr_deaths_no_alc), http://www-fars.nhtsa.dot.gov Bureau of Labor Statistics (unempl), http://www.bls.gov/web/laus/laumstrk.htm

R Dataset Upload:

Use the following R code to directly access this dataset in R.

d <- read.csv("https://www.key2stats.com/State-level_data_1513_51.csv")

R Coding Interface:


Datasets Tag Questions & Instructional Blocks

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