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add police killings data
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andrewflowers committed Jun 3, 2015
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### Police Killings

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).

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 their database is available [here](http://www.theguardian.com/us-news/ng-interactive/2015/jun/01/about-the-counted).

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, 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.

Field descriptions:

Header | Description | Source
---|-----------|----
`name` | Name of deceased | Guardian
`age` | Age of deceased | Guardian
`gender` | Gender of deceased | Guardian
`raceethnicity` | Race/ethnicity of deceased | Guardian
`month` | Month of killing | Guardian
`day` | Day of incident | Guardian
`year` | Year of incident | Guardian
`streetaddress` | Address/intersection where incident occurred | Guardian
`city` | City where incident occurred | Guardian
`state` | State where incident occurred | Guardian
`latitude` | Latitude, geocoded from address |
`longitude` | Longitude, geocoded from address |
`state_fp` | State FIPS code | Census
`county_fp` | County FIPS code | Census
`tract_ce` | Tract ID code | Census
`geo_id` | Combined tract ID code |
`county_id` | Combined county ID code |
`namelsad` | Tract description | Census
`lawenforcementagency` | Agency involved in incident | Guardian
`cause` | Cause of death | Guardian
`armed` | How/whether deceased was armed | Guardian
`pop` | Tract population | Census
`share_white` | Share of pop that is non-Hispanic white | Census
`share_bloack` | Share of pop that is black (alone, not in combination) | Census
`share_hispanic` | Share of pop that is Hispanic/Latino (any race) | Census
`p_income` | Tract-level median personal income | Census
`h_income` | Tract-level median household income | Census
`county_income` | County-level median household income | Census
`comp_income` | `h_income` / `county_income` | Calculated from Census
`county_bucket` | Household income, quintile within county | Calculated from Census
`nat_bucket` | Household income, quintil nationally | Calculated from Census
`pov` | Tract-level poverty rate (official) | Census
`urate` | Tract-level unemployment rate | Calculated from Census
`college` | Share of 25+ pop with BA or higher | Calculated from Census

<b>Note regarding income calculations:</b>

All income fields are in inflation-adjusted 2013 dollars.

`comp_income` is simply tract-level median household income as a share of county-level median household income.

`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.

`nat_bucket` is the same but for all U.S. counties.
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