Name: Crime Risk Data | USA and Canada| Make More Informed Business Decisions | Places Data | Insurance Data
Creator: GapMaps

SEQ	VARIABLE	DESCRIPTION	VINTAGE	UNIT	TYPE	AGGREGATION_TYPE	WEIGHT_FIELD	NATIVE_GEO
x	xx	xxxxxxxxxxxxxxxxxxxx		xxxxxx
x	xxxx	xxxxxxxxxxxxxxxxxxxx		xxxxxx
x	xxxxx	xxxxxxxxxx	xxxx	xxxxxxx	xxxxxxx	xxx		xxxxxxxxxxxx
x	xxxxxxxxx	xxxxxxxxxxx	xxxx	xxxxx	xxxxxxx	xxxxxxxxxxxx	xxxxx	xxxxxxxxxxxx
x	xxxxxxxxx	xxxxxxxxxxxxxx	xxxx	xxxxx	xxxxxxx	xxxxxxxxxxxx	xxxxx	xxxxxxxxxxxx
x	xxxxxxxxx	xxxxxx	xxxx	xxxxx	xxxxxxx	xxxxxxxxxxxx	xxxxx	xxxxxxxxxxxx
x	xxxxxxxxx	xxxx	xxxx	xxxxx	xxxxxxx	xxxxxxxxxxxx	xxxxx	xxxxxxxxxxxx
x	xxxxxxxxx	xxxxxxx	xxxx	xxxxx	xxxxxxx	xxxxxxxxxxxx	xxxxx	xxxxxxxxxxxx
x	xxxxxxxxx	xxxxxxx	xxxx	xxxxx	xxxxxxx	xxxxxxxxxxxx	xxxxx	xxxxxxxxxxxx
xx	xxxxxxxxx	xxxxxxxxxxxxxx	xxxx	xxxxx	xxxxxxx	xxxxxxxxxxxx	xxxxx	xxxxxxxxxxxx

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Attribute	Type	Example
SEQ	Integer	1
VARIABLE	String	ID
DESCRIPTION	String	Geographic Area Code
VINTAGE
UNIT	String	String
TYPE
AGGREGATION_TYPE
WEIGHT_FIELD
UNIVERSE
MEDIAN_UBOUND
NATIVE_GEO

ID	NAME	POPCY	CRMCYTOTC	CRMCYPERC	CRMCYMURD	CRMCYRAPE	CRMCYROBB	CRMCYASST	CRMCYPROC	CRMCYBURG	CRMCYLARC	CRMCYMVEH	POPPY	CRMPYTOTC	CRMPYPERC	CRMPYMURD	CRMPYRAPE	CRMPYROBB	CRMPYASST	CRMPYPROC	CRMPYBURG	CRMPYLARC	CRMPYMVEH
xxxxxxxxxx	xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx	xxxx	xx	xxx	xxx	xx	xxx	xxx	xx	xx	xx	xx	xxxx	xxx	xxx	xxx	xxx	xx	xxx	xxx	xx	xxx	xx
xxxxxxxxxx	xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx	xxxx	xxx	xxx	xxx	xx	xxx	xxx	xxx	xxx	xxx	xx	xxxx	xxx	xxx	xx	xxx	xx	xxx	xxx	xx	xxx	xx
xxxxxxxxxx	xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx	xxxx	xx	xx	xx	xx	xxx	xx	xx	xx	xx	xx	xxx	xx	xx	xx	xx	xx	xx	xx	xx	xx	xx
xxxxxxxxxx	xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx	xxxx	xx	xx	xxx	xx	xxx	xx	xx	xx	xx	xx	xxx	xx	xx	xx	xx	xx	xx	xx	xx	xx	xx
xxxxxxxxxx	xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx	xxxx	xx	xx	xx	xx	xxx	xx	xx	xx	xx	xx	xxx	xx	xx	xx	xx	xx	xx	xx	xx	xx	xx
xxxxxxxxxx	xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx	xxxx	xx	xxx	xx	xx	xxx	xx	xx	xx	xx	xx	xxxx	xx	xx	xx	xx	xx	xx	xx	xx	xx	xx
xxxxxxxxxx	xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx	xxxx	xx	xx	xxx	xx	xxx	xx	xx	xx	xx	xx	xxxx	xx	xx	xx	xx	xx	xx	xx	xx	xx	xx
xxxxxxxxxx	xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx	xxxx	xx	xx	xx	xx	xxx	xx	xx	xx	xx	xx	xxxx	xx	xx	xx	xx	xx	xx	xx	xx	xx	xx
xxxxxxxxxx	xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx	xxxx	xxx	xxx	xxx	xx	xxx	xx	xxx	xxx	xxx	xx	xxxx	xxx	xx	xx	xx	xx	xx	xxx	xx	xxx	xx
xxxxxxxxxx	xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx	xxxx	xxx	xxx	xxx	xxx	xxx	xxx	xxx	xx	xxx	xx	xxxx	xx	xx	xx	xx	xx	xxx	xx	xx	xxx	xx

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Attribute	Type	Example
ID	Float	340010000000.0
NAME	String	BG 1 Atlantic County Tract 000100
POPCY	Integer	1131
CRMCYTOTC	Integer	85
CRMCYPERC	Integer	139
CRMCYMURD	Integer	105
CRMCYRAPE	Integer	39
CRMCYROBB	Integer	226
CRMCYASST	Integer	127
CRMCYPROC	Integer	76
CRMCYBURG	Integer	97
CRMCYLARC	Integer	73
CRMCYMVEH	Integer	62
POPPY	Integer	1037
CRMPYTOTC	Integer	131
CRMPYPERC	Integer	141
CRMPYMURD	Integer	122
CRMPYRAPE	Integer	102
CRMPYROBB	Integer	93
CRMPYASST	Integer	159
CRMPYPROC	Integer	129
CRMPYBURG	Integer	78
CRMPYLARC	Integer	156
CRMPYMVEH	Integer	35

Description

GapMaps provides Crime Risk data sourced from Applied Geographic Solutions (AGS) which has been used by thousands of companies for over 20 years, providing valuable comparative information on the spatial patterns of crime. Crime Risk Data includes crime risk indexes and projections on detailed crime types like murder and motor vehicle theft, and summary indexes of crimes against persons, crimes against property and overall crime risk. Crime Risk Data is available at the highly detailed census block level to capture the different risk levels across business and residential places. It is derived from an extensive analysis of several years of crime reports from the vast majority of law enforcement jurisdictions nationwide. The crimes included in the Crime Risk Data database are the “Part 1” crimes and include murder, rape, robbery, assault, burglary, theft, and motor vehicle theft. These categories are the primary reporting categories used by the FBI in its Uniform Crime Report (UCR), with the exception of Arson, for which data is very inconsistently reported at the jurisdictional level. In accordance with the reporting procedures using in the UCR reports, aggregate indexes have been prepared for personal and property crimes separately, as well as a total index. While this provides a useful measure of the relative “overall” crime rate in an area, it must be recognized that these are unweighted indexes, in that a murder is weighted no more heavily than a purse snatching in the computation. For this reason, caution is advised when using any of the aggregate index values. In 2020, 5-Year Projections were added to the database. Use cases: 1. Insurance underwriting and risk mitigation. 2. Evaluating the security measures needed to protect employees and customers at retail facilities. 3. The study of the effects of neighborhood crime on wellness and health care outcomes. Methodology: Crime is tracked for multiple years using both FBI aggregate crime reports and for many parts of the country at the individual incident level. A complex set of statistical models are used to estimate and forecast risk of each individual crime type by using land use data in conjunction with demographic and business characteristics.

Country Coverage

(2 countries)

North America (2)

Data Categories

Location Data
Geodemographic Data
Insurance Data
Places Data
Crime Risk Data

Pricing

Pricing available upon request

One-off purchase	Not available
Monthly License	Not available
Yearly License	Available
Usage-based	Not available

Volumes

year projections: 5
years extensive analysis of FBI crime statistics: 7

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