57 lines
3.5 KiB
Markdown
57 lines
3.5 KiB
Markdown
# Police Killings
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This directory contains the data behind the story [Where Police Have Killed Americans In 2015](http://fivethirtyeight.com/features/where-police-have-killed-americans-in-2015).
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We linked entries from the [Guardian's database on police killings](http://www.theguardian.com/us-news/ng-interactive/2015/jun/01/the-counted-map-us-police-killings) to census data from the American Community Survey. The Guardian data was downloaded on June 2, 2015. More information about its database is available [here](http://www.theguardian.com/us-news/ng-interactive/2015/jun/01/about-the-counted).
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Census data was calculated at the tract level from the 2015 5-year American Community Survey using the tables `S0601 (demographics)`, `S1901 (tract-level income and poverty)`, `S1701 (employment and education)` and `DP03 (county-level income)`. Census tracts were determined by geocoding addresses to latitude/longitude using the Bing Maps and Google Maps APIs and then overlaying points onto 2014 census tracts. GEOIDs are census-standard and should be easily joinable to other ACS tables -- let us know if you find anything interesting.
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Field descriptions:
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Header | Description | Source
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`name` | Name of deceased | Guardian
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`age` | Age of deceased | Guardian
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`gender` | Gender of deceased | Guardian
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`raceethnicity` | Race/ethnicity of deceased | Guardian
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`month` | Month of killing | Guardian
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`day` | Day of incident | Guardian
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`year` | Year of incident | Guardian
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`streetaddress` | Address/intersection where incident occurred | Guardian
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`city` | City where incident occurred | Guardian
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`state` | State where incident occurred | Guardian
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`latitude` | Latitude, geocoded from address |
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`longitude` | Longitude, geocoded from address |
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`state_fp` | State FIPS code | Census
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`county_fp` | County FIPS code | Census
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`tract_ce` | Tract ID code | Census
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`geo_id` | Combined tract ID code |
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`county_id` | Combined county ID code |
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`namelsad` | Tract description | Census
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`lawenforcementagency` | Agency involved in incident | Guardian
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`cause` | Cause of death | Guardian
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`armed` | How/whether deceased was armed | Guardian
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`pop` | Tract population | Census
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`share_white` | Share of pop that is non-Hispanic white | Census
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`share_bloack` | Share of pop that is black (alone, not in combination) | Census
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`share_hispanic` | Share of pop that is Hispanic/Latino (any race) | Census
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`p_income` | Tract-level median personal income | Census
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`h_income` | Tract-level median household income | Census
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`county_income` | County-level median household income | Census
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`comp_income` | `h_income` / `county_income` | Calculated from Census
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`county_bucket` | Household income, quintile within county | Calculated from Census
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`nat_bucket` | Household income, quintile nationally | Calculated from Census
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`pov` | Tract-level poverty rate (official) | Census
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`urate` | Tract-level unemployment rate | Calculated from Census
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`college` | Share of 25+ pop with BA or higher | Calculated from Census
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<b>Note regarding income calculations:</b>
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All income fields are in inflation-adjusted 2013 dollars.
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`comp_income` is simply tract-level median household income as a share of county-level median household income.
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`county_bucket` provides where the tract's median household income falls in the distribution (by quintile) of all tracts in the county. (1 indicates a tract falls in the poorest 20% of tracts within the county.) Distribution is not weighted by population.
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`nat_bucket` is the same but for all U.S. counties.
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