ncovr: Homicides & Socio-Economics (1960-90).

In geodaData: Spatial Analysis Datasets for Teaching

Description

Homicides and selected socio-economic characteristics for continental U.S. counties. Data for four decennial census years: 1960, 1970, 1980 and 1990.

Usage

ncovr

Format

An sf data frame with 3085 rows, 69 variables, and a geometry column:

name

county name

state_name

state name

state_fips

state fips code (character)

cnty_fips

county fips code (character)

fips

combined state and county fips code (character)

stfips

state fips code (numeric)

cofips

county fips code (numeric)

fipsno

fips code as numeric variable

south

dummy variable for Southern counties (South = 1)

hr

homicide rate per 100,000 (1960, 1970, 1980, 1990)

hc

homicide count, three year average centered on 1960, 1970, 1980, 1990

po

county population, 1960, 1970, 1980, 1990

rd

resource deprivation 1960, 1970, 1980, 1990 (principal component, see Codebook for details)

ps

population structure 1960, 1970, 1980, 1990 (principal component, see Codebook for details)

ue

unemployment rate 1960, 1970, 1980, 1990

dv

divorce rate 1960, 1970, 1980, 1990 (percent males over 14 divorced)

ma

median age 1960, 1970, 1980, 1990

pol

log of population 1960, 1970, 1980, 1990

dnl

log of population density 1960, 1970, 1980, 1990

mfil

log of median family income 1960, 1970, 1980, 1990

fp

percent families below poverty 1960, 1970, 1980, 1990 (see Codebook for details)

blk

percent black 1960, 1970, 1980, 1990

gi

Gini index of family income inequality 1960, 1970, 1980, 1990

fh

percent female headed households 1960, 1970, 1980, 1990

geometry

MULTIPOLYGON

Details

Sf object, unprojected. EPSG 4326: WGS84.

Source

S. Messner, L. Anselin, D. Hawkins, G. Deane, S. Tolnay, R. Baller (2000). An Atlas of the Spatial Patterning of County-Level Homicide, 1960-1990. Pittsburgh, PA, National Consortium on Violence Research (NCOVR). https://geodacenter.github.io/data-and-lab/ncovr/

Examples

if (requireNamespace("sf", quietly = TRUE)) {
  library(sf)
  data(ncovr)

  plot(ncovr["NAME"])
}

geodaData documentation built on July 2, 2020, 1:33 a.m.