county_2019: American Community Survey 2019

Description Usage Format Source See Also Examples

Description

Data for 3142 counties in the United States with many variables of the 2019 American Community Survey.

Usage

1

Format

A data frame with 3142 observations on the following 95 variables.

state

State.

name

County name.

fips

FIPS code.

median_individual_income

Median individual income (2019).

median_individual_income_moe

Margin of error for median_individual_income.

pop

2019 population.

pop_moe

Margin of error for pop.

white

Percent of population that is white alone (2015-2019).

white_moe

Margin of error for white.

black

Percent of population that is black alone (2015-2019).

black_moe

Margin of error for black.

native

Percent of population that is Native American alone (2015-2019).

native_moe

Margin of error for native.

asian

Percent of population that is Asian alone (2015-2019).

asian_moe

Margin of error for asian.

pac_isl

Percent of population that is Native Hawaiian or other Pacific Islander alone (2015-2019).

pac_isl_moe

Margin of error for pac_isl.

other_single_race

Percent of population that is some other race alone (2015-2019).

other_single_race_moe

Margin of error for other_single_race.

two_plus_races

Percent of population that is two or more races (2015-2019).

two_plus_races_moe

Margin of error for two_plus_races.

hispanic

Percent of population that identifies as Hispanic or Latino (2015-2019).

hispanic_moe

Margin of error for hispanic.

white_not_hispanic

Percent of population that is white alone, not Hispanic or Latino (2015-2019).

white_not_hispanic_moe

Margin of error for white_not_hispanic.

median_age

Median age (2015-2019).

median_age_moe

Margin of error for median_age.

age_under_5

Percent of population under 5 (2015-2019).

age_under_5_moe

Margin of error for age_under_5.

age_over_85

Percent of population 85 and over (2015-2019).

age_over_85_moe

Margin of error for age_over_85.

age_over_18

Percent of population 18 and over (2015-2019).

age_over_18_moe

Margin of error for age_over_18.

age_over_65

Percent of population 65 and over (2015-2019).

age_over_65_moe

Margin of error for age_over_65.

mean_work_travel

Mean travel time to work (2015-2019).

mean_work_travel_moe

Margin of error for mean_work_travel.

persons_per_household

Persons per household (2015-2019)

persons_per_household_moe

Margin of error for persons_per_household.

avg_family_size

Average family size (2015-2019).

avg_family_size_moe

Margin of error for avg_family_size.

housing_one_unit_structures

Percent of housing units in 1-unit structures (2015-2019).

housing_one_unit_structures_moe

Margin of error for housing_one_unit_structures.

housing_two_unit_structures

Percent of housing units in multi-unit structures (2015-2019).

housing_two_unit_structures_moe

Margin of error for housing_two_unit_structures.

housing_mobile_homes

Percent of housing units in mobile homes and other types of units (2015-2019).

housing_mobile_homes_moe

Margin of error for housing_mobile_homes.

median_individual_income_age_25plus

Median individual income (2019 dollars, 2015-2019).

median_individual_income_age_25plus_moe

Margin of error for median_individual_income_age_25plus.

hs_grad

Percent of population 25 and older that is a high school graduate (2015-2019).

hs_grad_moe

Margin of error for hs_grad.

bachelors

Percent of population 25 and older that earned a Bachelor's degree or higher (2015-2019).

bachelors_moe

Margin of error for bachelors.

households

Total households (2015-2019).

households_moe

Margin of error for households.

households_speak_spanish

Percent of households speaking Spanish (2015-2019).

households_speak_spanish_moe

Margin of error for households_speak_spanish.

households_speak_other_indo_euro_lang

Percent of households speaking other Indo-European language (2015-2019).

households_speak_other_indo_euro_lang_moe

Margin of error for households_speak_other_indo_euro_lang.

households_speak_asian_or_pac_isl

Percent of households speaking Asian and Pacific Island language (2015-2019).

households_speak_asian_or_pac_isl_moe

Margin of error for households_speak_asian_or_pac_isl.

households_speak_other

Percent of households speaking non European or Asian/Pacific Island language (2015-2019).

households_speak_other_moe

Margin of error for households_speak_other.

households_speak_limited_english

Percent of limited English-speaking households (2015-2019).

households_speak_limited_english_moe

Margin of error for households_speak_limited_english.

poverty

Percent of population below the poverty level (2015-2019).

poverty_moe

Margin of error for poverty.

poverty_under_18

Percent of population under 18 below the poverty level (2015-2019).

poverty_under_18_moe

Margin of error for poverty_under_18.

poverty_65_and_over

Percent of population 65 and over below the poverty level (2015-2019).

poverty_65_and_over_moe

Margin of error for poverty_65_and_over.

mean_household_income

Mean household income (2019 dollars, 2015-2019).

mean_household_income_moe

Margin of error for mean_household_income.

per_capita_income

Per capita money income in past 12 months (2019 dollars, 2015-2019).

per_capita_income_moe

Margin of error for per_capita_income.

median_household_income

Median household income (2015-2019).

median_household_income_moe

Margin of error for median_household_income.

veterans

Percent among civilian population 18 and over that are veterans (2015-2019).

veterans_moe

Margin of error for veterans.

unemployment_rate

Unemployment rate among those ages 20-64 (2015-2019).

unemployment_rate_moe

Margin of error for unemployment_rate.

uninsured

Percent of civilian noninstitutionalized population that is uninsured (2015-2019).

uninsured_moe

Margin of error for uninsured.

uninsured_under_6

Percent of population under 6 years that is uninsured (2015-2019).

uninsured_under_6_moe

Margin of error for uninsured_under_6.

uninsured_under_19

Percent of population under 19 that is uninsured (2015-2019).

uninsured_under_19_moe

Margin of error for uninsured_under_19.

uninsured_65_and_older

Percent of population 65 and older that is uninsured (2015-2019).

uninsured_65_and_older_moe

Margin of error for uninsured_65_and_older.

household_has_computer

Percent of households that have desktop or laptop computer (2015-2019).

household_has_computer_moe

Margin of error for household_has_computer.

household_has_smartphone

Percent of households that have smartphone (2015-2019).

household_has_smartphone_moe

Margin of error for household_has_smartphone.

household_has_broadband

Percent of households that have broadband internet subscription (2015-2019).

household_has_broadband_moe

Margin of error for household_has_broadband.

Source

The data were downloaded via the tidycensus R package.

See Also

county, county_complete

Examples

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library(ggplot2)

ggplot(county_2019,
       aes(x = hs_grad, y = median_individual_income,
       size = sqrt(pop) / 1000)) +
  geom_point(alpha = 0.5) +
  scale_color_discrete(na.translate = FALSE) +
  guides(size = FALSE) +
  labs(
    x = "Percentage of population graduated from high school",
    y = "Median individual income"
  )

usdata documentation built on June 22, 2021, 1:06 a.m.