Criteria for Retirement Location — retirementLoc • retirementData

A dataset containing criteria for relocation in retirement.

data("retirementLoc")

Format

A data frame with 3146 rows and 21 variables:

fips: a five digit unique identifier of US counties
lat: latitude of county center in degrees
lon: longitude of county center in degrees
state: state name
county: county name
pop_2020: population estimate in 2020
pct_pop_change: percent population change from 2010 to 2020
cbsa_desig: a classification based on population density
rucc_2013: a classification of 1 through 9 on a rural-urban continuum
partisan_lean: percent voting Democrat in 2020 presidential race
med_hh_inc_2019: median household income for 2019
pct_bachelor: percent of county residents holding a bacherlor degree or higher
broadband_2017: percent households with broadband access
life_exp: life expectancy in years
violent_crime_rate: violent crimes per 100,000
average_daily_pm2_5: Average daily amount of fine particulate matter in micrograms per cubic meter
prim_care_dr_rate: primary care physicians per 100,000 population
avg_annual_temp: average annual temperature in fahrenheit
median_home_price: median home price
yoy_price_chg_pct: year-over-year percentage increase (-decrease) in home price
years_to_payoff: quotient of household income divided by median home price

The dataset includes the 50 US states and Washington D.C. disaggregated at the county level.

#load
data("retirementData")
#> Warning: data set ‘retirementData’ not found
sum(retirementData::retirementLoc$pop_2020)
#> [1] NA