Description Format Details Source Examples
Results of nearly all stops made by the Minneapolis Police Department for the year 2017.
A data frame with 51857 observations on the following 14 variables.
idNum
character vector of incident identifiers
date
a POSIXlt date variable giving the date and time of the stop
problem
a factor with levels suspicious
for suspicious vehicle or person stops and traffic
for traffic stops
citationIssued
a factor with levels no
yes
indicating if a citation was issued
personSearch
a factor with levels no
yes
indicating if the stopped person was searched
vehicleSearch
a factor with levels no
or yes
indicating if a vehicle was searched
preRace
a factor with levels white
, black
, east african
, latino
, native american
, asian
, other
, unknown
for the officer's assessment of race of the person stopped before speaking with the person stopped
race
a factor with levels white
, black
, east african
, latino
, native american
, asian
, other
, unknown
, officer's determination of race after the incident
gender
a factor with levels female
, male
, unknown
, gender of person stopped
lat
latitude of the location of the incident, somewhat rounded
long
latitude of the location of the incident, somewhat rounded
policePrecinct
Minneapolis Police Precinct number
neighborhood
a factor with 84 levels giving the name of the Minneapolis neighborhood of the incident
MDC
a factor with levels mdc
for data collected via in-vehicle computer, and other
for data submitted by officers not in a vehicle, either on foot, bicycle or horseback. Several of the variables above were recorded only in-vehicle
A few stops have been deleted, either because thesu location data was missing, or a few very rare categories were also removed. The data frame MplsDemo
contains 2015 demongraphic data on Minneapolis neighborhoods, using the same neighborhood names as this data file. Demographics are available for 84 of Minneaolis' 87 neighborhoods. The remaining 3 presumably have no housing.
These are public data obtained from <http://opendata.minneapolismn.gov/datasets/police-stop-data>. A few more fields, and more data, are available at the original source
1 |
idNum date problem
17-000003: 1 Min. :2017-01-01 00:00:42 suspicious:25822
17-000007: 1 1st Qu.:2017-03-29 08:35:09 traffic :26098
17-000073: 1 Median :2017-06-17 18:46:47
17-000092: 1 Mean :2017-06-23 19:57:49
17-000098: 1 3rd Qu.:2017-09-18 18:32:06
17-000111: 1 Max. :2017-12-31 23:52:35
(Other) :51914
MDC citationIssued personSearch vehicleSearch
MDC :43699 NO :15899 NO :38462 NO :40579
other: 8221 YES : 3211 YES : 5237 YES : 3120
NA's:32810 NA's: 8221 NA's: 8221
preRace race gender lat
Unknown :28337 Black :15220 Female :10015 Min. :44.89
Black : 6805 White :11703 Male :27131 1st Qu.:44.95
White : 6004 Unknown : 9219 Unknown: 6492 Median :44.98
Native American: 908 East African: 2188 NA's : 8282 Mean :44.97
Latino : 528 Latino : 1858 3rd Qu.:45.00
(Other) : 1117 (Other) : 3511 Max. :45.05
NA's : 8221 NA's : 8221
long policePrecinct neighborhood
Min. :-93.33 Min. :1.000 Downtown West: 4409
1st Qu.:-93.29 1st Qu.:2.000 Whittier : 3328
Median :-93.28 Median :3.000 Near - North : 2256
Mean :-93.27 Mean :3.257 Lyndale : 2154
3rd Qu.:-93.25 3rd Qu.:4.000 Jordan : 2075
Max. :-93.20 Max. :5.000 Hawthorne : 2031
(Other) :35667
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