cc

US Counties

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Overview

Data for 3083 counties in the United States, including variables for demographic, financial, education, and other characteristics. For a more complete set of counties and variables, see the "countyComplete" data set from the openintro package, or for a tab-delimed text file version, download OpenIntro's data set repository.

Variables

  • growth: County-level population growth from 2000 to 2010.
  • FIPS: FIPS code.
  • pop2010: 2010 county population.
  • pop2000: 2000 county population.
  • age_under_5: Percent of population under 5 (2010).
  • age_under_18: Percent of population under 18 (2010).
  • age_over_65: Percent of population over 65 (2010).
  • female: Percent of population that is female (2010).
  • black: Percent of population that is black (2010).
  • hispanic: Percent of population that is Hispanic (2010).
  • white_not_hispanic: Percent of population that is white and not Hispanic (2010).
  • no_move_in_one_plus_year: Percent of population that has not moved in at least one year (2006-2010).
  • foreign_born: Percent of population that is foreign-born (2006-2010).
  • foreign_spoken_at_home: Percent of population that speaks a foreign language at home (2006-2010).
  • hs_grad: Percent of population that is a high school graduate (2006-2010).
  • bachelors: Percent of population that earned a bachelor's degree (2006-2010).
  • mean_work_travel: Mean travel time to work (2006-2010).
  • home_ownership: Homeownership rate (2006-2010).
  • housing_multi_unit: Housing units in multi-unit structures (2006-2010).
  • median_val_owner_occupied: Median value of owner-occupied housing units (2006-2010).
  • persons_per_household: Persons per household (2006-2010).
  • per_capita_income: Per capita money income in past 12 months (2010 dollars, 2006-2010).
  • poverty: Percent below poverty level (2006-2010).
  • sales_per_capita: Retail sales per capita (2007).
  • density: Persons per square mile (2010).

Data Source

US Census website.

Loading Data

CSV Download

To access the data in R, type

download.file("http://www.openintro.org/books/statdata/cc.RData",
              destfile = "cc.RData")
load("cc.RData")

To access the data in SAS, type

filename cc url 'http://www.openintro.org/books/statdata/cc.csv'