The raw data behind the story "Where Police Have Killed Americans In 2015" https://fivethirtyeight.com/features/where-police-have-killed-americans-in-2015.

police_killings

Format

A data frame with 467 rows representing People who died from interactions with police and 34 variables:

name

Name of deceased

age

Age of deceased

gender

Gender of deceased

raceethnicity

Race/ethnicity of deceased

month

Month of killing

day

Day of incident

year

Year of incident

streetaddress

Address/intersection where incident occurred

city

City where incident occurred

state

State where incident occurred

latitude

Latitude, geocoded from address

longitude

Longitude, geocoded from address

state_fp

State FIPS code

county_fp

County FIPS code

tract_ce

Tract ID code

geo_id

Combined tract ID code

county_id

Combined county ID code

namelsad

Tract description

lawenforcementagency

Agency involved in incident

cause

Cause of death

armed

How/whether deceased was armed

pop

Tract population

share_white

Share of pop that is non-Hispanic white

share_black

Share of pop that is black (alone, not in combination)

share_hispanic

Share of pop that is Hispanic/Latino (any race)

p_income

Tract-level median personal income

h_income

Tract-level median household income

county_income

County-level median household income

comp_income

`h_income` / `county_income`

county_bucket

Household income, quintile within county

nat_bucket

Household income, quintile nationally

pov

Tract-level poverty rate (official)

urate

Tract-level unemployment rate

college

Share of 25+ pop with BA or higher

Source

See https://github.com/fivethirtyeight/data/tree/master/police-killings