Complete Scatterplots: v1
Olivia Martin
Scatterplots: 80 List 1 Cities
Pct Change: 2004 - 2019
Police as Y Axis
X Axis: Crime
X[Crime] vs. Y[Total Outlays]
X[Crime] vs. Y[Police Outlays]
X[Crime] vs. Y[Police FTE]
X[Crime] vs. Y[Police Salaries]
X Axis: Total Fire Outlays
X[Fire Outlays] vs. Y[Total Outlays]
X[Fire Outlays] vs. Y[Police Outlays]
X[Fire Outlays] vs. Y[Police FTE]
X[Fire Outlays] vs. Y[Police Salaries]
X Axis: Fire FTE
X[Fire FTE] vs. Y[Total Outlays]
X[Fire FTE] vs. Y[Police Outlays]
X[Fire FTE] vs. Y[Police FTE]
X[Fire FTE] vs. Y[Police Salaries]
X Axis: Fire Salaries
X[Fire Salaries] vs. Y[Total Outlays]
X[Fire Salaries] vs. Y[Police Outlays]
X[Fire Salaries] vs. Y[Police FTE]
X[Fire Salaries] vs. Y[Police Salaries]
X Axis: Population
X[Population] vs. Y[Total Outlays]
X[Population] vs. Y[Police Outlays]
X[Population] vs. Y[Police FTE]
X[Population] vs. Y[Police Salaries]
X Axis: Pct Non-White
X[Pct NonWhite] vs. Y[Total Outlays]
X[Pct NonWhite] vs. Y[Police Outlays]
X[Pct NonWhite] vs. Y[Police FTE]
X[Pct Non White] vs. Y[Police Salaries]
X Axis: Median Household Income
X[Median HH Income] vs. Y[Total Outlays]
X[Median HH Income] vs. Y[Police Outlays]
X[Median HH Income] vs. Y[Police FTE]
X[Median HH Income] vs. Y[Police Salaries]
X Axis: Median Property Value
X[Median Property Value] vs. Y[Total Outlays]
X[Median Property Value] vs. Y[Police Outlays]
X[Median Property Value] vs. Y[Police FTE]
X[Median Property Value] vs. Y[Police Salaries]
Fire as Y Axis
X Axis: Fire Count
X[Fire Count] vs. Y[Total Outlays]
X[Fire Count] vs. Y[Fire Outlays]
X[Fire Count] vs. Y[Fire FTE]
X[Fire Count] vs. Y[Fire Salaries]
X Axis: Police Outlays
X[Police Outlays] vs. Y[Total Outlays]
X[Police Outlays] vs. Y[Fire Outlays]
X[Police Outlays] vs. Y[Fire FTE]
X[Fire Outlays] vs. Y[Fire Salaries]
X Axis: Police FTE
X[Police FTE] vs. Y[Total Outlays]
X[Police FTE] vs. Y[Fire Outlays]
X[Police FTE] vs. Y[Fire FTE]
X[Police FTE] vs. Y[Fire Salaries]
X Axis: Police Salaries
X[Police Salaries] vs. Y[Total Outlays]
X[Police FTE] vs. Y[Fire Outlays]
X[Police Salaries] vs. Y[Fire FTE]
X[Police Salaries] vs. Y[Fire Salaries]
X Axis: Population
X[Population] vs. Y[Total Outlays]
X[Population] vs. Y[Fire Outlays]
X[Population] vs. Y[Fire FTE]
X[Population] vs. Y[Fire Salaries]
X Axis: Pct Non-White
X[Pct Non-White] vs. Y[Total Outlays]
X[Pct Non-White] vs. Y[Fire Outlays]
X[Pct Non-White] vs. Y[Fire FTE]
X[Pct Non-White] vs. Y[Fire Salaries]
X Axis: Median Household Income
X[Median HH Income] vs. Y[Total Outlays]
X[Median HH Income] vs. Y[Fire Outlays]
X[Median HH Income] vs. Y[Fire FTE]
X[Median HH Income] vs. Y[Fire Salaries]
X Axis: Median Property Value
X[Median Property Value] vs. Y[Total Outlays]
X[Median Property Value] vs. Y[Fire Outlays]
X[Median Property Value] vs. Y[Fire FTE]
X[Median Property Value] vs. Y[Fire Salaries]
Levels: 2019
Police as Y Axis
X Axis: Crime
X[Crime] vs. Y[Total Outlays]
X[Crime] vs. Y[Police Outlays]
X[Crime] vs. Y[Police FTE]
X[Crime] vs. Y[Police Salaries]
X Axis: Fire Outlays
X[Fire Outlays] vs. Y[Total Outlays]
X[Fire Outlays] vs. Y[Police Outlays]
X[Fire Outlays] vs. Y[Police FTE]
X[Fire Outlays] vs. Y[Police Salaries]
X Axis: Fire FTE
X[Fire FTE] vs. Y[Total Outlays]
X[Fire FTE] vs. Y[Police Outlays]
X[Fire FTE] vs. Y[Police FTE]
X[Fire FTE] vs. Y[Police Salaries]
X Axis: Fire Salaries
X[Fire Salaries] vs. Y[Total Outlays]
X[Fire Salaries] vs. Y[Police Outlays]
X[Fire Salaries] vs. Y[Police FTE]
X[Fire Salaries] vs. Y[Police Salaries]
X Axis: Population
X[Population] vs. Y[Total Outlays]
X[Population] vs. Y[Police Outlays]
X[Population] vs. Y[Police FTE]
X[Population] vs. Y[Police Salaries]
X Axis: Pct NonWhite
X[Pct NonWhite] vs. Y[Total Outlays]
X[Pct NonWhite] vs. Y[Police Outlays]
X[Pct NonWhite] vs. Y[Police FTE]
X[Pct NonWhite] vs. Y[Police Salaries]
X Axis: Median HH Income
X[Median HH Income] vs. Y[Total Outlays]
X[Median HH Income] vs. Y[Police Outlays]
X[Median HH Income] vs. Y[Police FTE]
X[Median HH Income] vs. Y[Police Salaries]
X Axis: Median Prop Value
X[Median Prop Value] vs. Y[Total Outlays]
X[Median Prop Value] vs. Y[Police Outlays]
X[Median Prop Value] vs. Y[Police FTE]
X[Median Prop Value] vs. Y[Police Salaries]
Fire as Y Axis
X Axis: Fire Count
X[Fire Count] vs. Y[Total Outlays]
X[Fire Count] vs. Y[Fire Outlays]
X[Fire Count] vs. Y[Fire FTE]
X[Fire Count] vs. Y[Fire Salaries]
X Axis: Police Outlays
X[Police Outlays] vs. Y[Total Outlays]
X[Police Outlays] vs. Y[Fire Outlays]
X[Police Outlays] vs. Y[Fire FTE]
X[Police Outlays] vs. Y[Fire Salaries]
X Axis: Police FTE
X[Police FTE] vs. Y[Total Outlays]
X[Police FTE] vs. Y[Fire Outlays]
X[Police FTE] vs. Y[Fire FTE]
X[Police FTE] vs. Y[Fire Salaries]
X Axis: Police Salaries
X[Police Salaries] vs. Y[Total Outlays]
X[Police Salaries] vs. Y[Fire Outlays]
X[Police Salaries] vs. Y[Fire FTE]
X[Police Salaries] vs. Y[Fire Salaries]
X Axis: Population
X[Population] vs. Y[Total Outlays]
X[Population] vs. Y[Fire Outlays]
X[Population] vs. Y[Fire FTE]
X[Population] vs. Y[Fire Salaries]
X Axis: Pct Non-White
X[Pct Non-White] vs. Y[Total Outlays]
X[Pct Non-White] vs. Y[Fire Outlays]
X[Pct Non-White] vs. Y[Fire FTE]
X[Pct Non-White] vs. Y[Fire Salaries]
X Axis: Median HH Income
X[Median HH Income] vs. Y[Total Outlays]
X[Median HH Income] vs. Y[Fire Outlays]
X[Median HH Income] vs. Y[Fire FTE]
X[Median HH Income] vs. Y[Fire Salaries]
X Axis: Median Prop Value
X[Median Prop Value] vs. Y[Total Outlays]
X[Median Prop Value] vs. Y[Fire Outlays]
X[Median Prop Value] vs. Y[Fire FTE]
X[Median Prop Value] vs. Y[Fire Salaries]
Fire Trends and Different Cuts of Data
Overall takeaway: generally, fires have remained relatively flat in most cities, with some decrease in many cities. This document explores multiple cuts of this.
The above scatterplots used Cut 2: All Fires (100 codes).
List 1
Cut 1: All Incidents
Cut 2: Fire Incidents Only (100s codes)
Cut 3: Building Fires only (111 Code)
Cut 4: Building Fires with no aid given or received only
Cut 5: Building Fires with no Aid received (but maybe aid given)
