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Crime Risk Insurance Data | USA & Canada | Make Informed Insurance Underwriting Decisions | Location Data | Demographic Data
# | SEQ |
VARIABLE |
DESCRIPTION |
VINTAGE |
UNIT |
TYPE |
AGGREGATION_TYPE |
WEIGHT_FIELD |
UNIVERSE |
MEDIAN_UBOUND |
NATIVE_GEO |
---|---|---|---|---|---|---|---|---|---|---|---|
1 | xxxxxxxxxx | Xxxxxxxxx | xxxxxx | xxxxxxxxxx | Xxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxxxx | xxxxxxxxx |
2 | Xxxxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxxx | Xxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxx | Xxxxx | Xxxxxx |
3 | xxxxx | xxxxxxxx | xxxxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxxxx | xxxxxx | Xxxxxxxxx | Xxxxxxxxx |
4 | xxxxxxxxxx | Xxxxxx | Xxxxx | xxxxxx | xxxxxxx | xxxxxxx | Xxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxxx |
5 | Xxxxx | Xxxxxxx | xxxxxx | Xxxxxxxx | Xxxxxxx | Xxxxx | xxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxxxxx | xxxxxxxxx |
6 | Xxxxxxx | xxxxxxxx | xxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | Xxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | xxxxx |
7 | xxxxxxx | xxxxxxxxx | Xxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxxxxx | xxxxxxxxx | Xxxxx | xxxxxxxx | Xxxxxxx | xxxxxxxxx |
8 | Xxxxxxx | xxxxx | Xxxxxxx | xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxx | xxxxxx |
9 | Xxxxxxxxx | xxxxx | Xxxxxxxxxx | xxxxxx | xxxxx | xxxxxxxx | Xxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | xxxxxxxx |
10 | xxxxx | Xxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxx | xxxxx | xxxxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxxxxx | Xxxxx |
... | xxxxxxx | Xxxxxxxx | Xxxxxxx | xxxxx | xxxxxxxx | xxxxxxxxxx | Xxxxxx | xxxxxxxxx | Xxxxx | xxxxx | xxxxxxxxx |
# | ID |
NAME |
POPCY |
CRMCYTOTC |
CRMCYPERC |
CRMCYMURD |
CRMCYRAPE |
CRMCYROBB |
CRMCYASST |
CRMCYPROC |
CRMCYBURG |
CRMCYLARC |
CRMCYMVEH |
POPPY |
CRMPYTOTC |
CRMPYPERC |
CRMPYMURD |
CRMPYRAPE |
CRMPYROBB |
CRMPYASST |
CRMPYPROC |
CRMPYBURG |
CRMPYLARC |
CRMPYMVEH |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | xxxxxxxxxx | Xxxxxxxxx | xxxxxx | xxxxxxxxxx | Xxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxxx | Xxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxx | Xxxxx | Xxxxxx | xxxxx | xxxxxxxx |
2 | xxxxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxxxx | xxxxxx | Xxxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | Xxxxxx | Xxxxx | xxxxxx | xxxxxxx | xxxxxxx | Xxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxxx | Xxxxx | Xxxxxxx | xxxxxx | Xxxxxxxx |
3 | Xxxxxxx | Xxxxx | xxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxxxxx | xxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | Xxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | xxxxx | xxxxxxx | xxxxxxxxx | Xxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxxxxx |
4 | xxxxxxxxx | Xxxxx | xxxxxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxx | Xxxxxxx | xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxx | xxxxxx | Xxxxxxxxx | xxxxx | Xxxxxxxxxx | xxxxxx | xxxxx | xxxxxxxx | Xxxxxx | Xxxxxxxxxx |
5 | xxxxxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxx | xxxxx | xxxxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxx | Xxxxxxxx | Xxxxxxx | xxxxx | xxxxxxxx | xxxxxxxxxx | Xxxxxx | xxxxxxxxx | Xxxxx | xxxxx |
6 | xxxxxxxxx | xxxxxxx | Xxxxxxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxxxx | xxxxxxx | Xxxxxx | xxxxxxxxx | xxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxxx | xxxxxxxx | Xxxxxxxx | Xxxxxxxx | xxxxxxxx | xxxxxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxxxxxx |
7 | xxxxxxxxxx | xxxxxx | Xxxxx | Xxxxxxx | Xxxxx | Xxxxxx | Xxxxx | Xxxxxxxxx | xxxxxx | xxxxxxxx | Xxxxxxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxx | Xxxxxxx | xxxxxxxxx | Xxxxx | xxxxx | Xxxxxx | xxxxxxxxx | xxxxxxx | xxxxxxxxx | Xxxxxxxxxx |
8 | xxxxxxxxx | Xxxxx | Xxxxx | Xxxxxxxxx | xxxxxxxxxx | xxxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxx | Xxxxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | Xxxxxxxxx | xxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxxxxxx | Xxxxxxxx | xxxxxxxxxx | xxxxxxx | Xxxxxxxx | xxxxx | Xxxxxx | xxxxxx |
9 | xxxxxxxx | xxxxxxx | Xxxxx | Xxxxxxxxx | Xxxxx | Xxxxxxx | Xxxxxxxx | xxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxx | xxxxxxxxx | xxxxxxx | xxxxxxxxxx | xxxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxxxx | xxxxxxx | Xxxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxx |
10 | xxxxxxxx | Xxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxx | Xxxxx | xxxxxxx | xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | xxxxxxx | Xxxxxxxx | xxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxx | Xxxxxxxx | Xxxxxxx | xxxxx | xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxxxxx | xxxxxxx |
... | Xxxxx | xxxxxxxxx | xxxxxxxx | Xxxxxxxx | xxxxxxxx | Xxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxx | Xxxxxxxxxx | Xxxxxxx | Xxxxxx | Xxxxxxxxxx | xxxxxxxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxx | Xxxxx | Xxxxx | Xxxxxxx | xxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxx |
Data Dictionary
Attribute | Type | Example | Mapping |
---|---|---|---|
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
|
Attribute | Type | Example | Mapping |
---|---|---|---|
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 |
Attribute | Type | Example | Mapping |
---|---|---|---|
Total Crime
|
String | ||
Personal Crime
|
String | ||
Murder
|
String | ||
Rape
|
String | ||
Robbery
|
String | ||
Assault
|
String | ||
Property Crime
|
String |
Description
Country Coverage
History
Volume
5 | year projections |
7 | years extensive analysis of FBI crime statistics |
Pricing
License | Starts at |
---|---|
One-off purchase | Not available |
Monthly License | Not available |
Yearly License | Available |
Usage-based | Not available |
Suitable Company Sizes
Delivery
Use Cases
Categories
Related Searches
Related Products
Frequently asked questions
What is Crime Risk Insurance Data USA & Canada Make Informed Insurance Underwriting Decisions Location Data Demographic Data?
GapMaps USA and Canada Crime Risk Insurance data sourced from Applied Geographic Solutions (AGS) includes crime risk indexes and 5 year projections (total crime, property crime and personal crime) at detailed census block level so you can make more informed insurance underwriting decisions.
What is Crime Risk Insurance Data USA & Canada Make Informed Insurance Underwriting Decisions Location Data Demographic Data used for?
This product has 5 key use cases. GapMaps recommends using the data for Location Intelligence, Location-based Analytics, Retail Site Selection, Location Planning, and Location Insights. Global businesses and organizations buy Demographic Data from GapMaps to fuel their analytics and enrichment.
Who can use Crime Risk Insurance Data USA & Canada Make Informed Insurance Underwriting Decisions Location Data Demographic Data?
This product is best suited if you’re a Medium-sized Business or Enterprise looking for Demographic Data. Get in touch with GapMaps to see what their data can do for your business and find out which integrations they provide.
How far back does the data in Crime Risk Insurance Data USA & Canada Make Informed Insurance Underwriting Decisions Location Data Demographic Data go?
This product has 1 years of historical coverage. It can be delivered on a yearly basis.
Which countries does Crime Risk Insurance Data USA & Canada Make Informed Insurance Underwriting Decisions Location Data Demographic Data cover?
This product includes data covering 2 countries like USA and Canada. GapMaps is headquartered in Australia.
How much does Crime Risk Insurance Data USA & Canada Make Informed Insurance Underwriting Decisions Location Data Demographic Data cost?
Pricing information for Crime Risk Insurance Data USA & Canada Make Informed Insurance Underwriting Decisions Location Data Demographic Data is available by getting in contact with GapMaps. Connect with GapMaps to get a quote and arrange custom pricing models based on your data requirements.
How can I get Crime Risk Insurance Data USA & Canada Make Informed Insurance Underwriting Decisions Location Data Demographic Data?
Businesses can buy Demographic Data from GapMaps and get the data via S3 Bucket. Depending on your data requirements and subscription budget, GapMaps can deliver this product in .csv format.
What is the data quality of Crime Risk Insurance Data USA & Canada Make Informed Insurance Underwriting Decisions Location Data Demographic Data?
You can compare and assess the data quality of GapMaps using Datarade’s data marketplace. GapMaps has received 1 review from clients.
What are similar products to Crime Risk Insurance Data USA & Canada Make Informed Insurance Underwriting Decisions Location Data Demographic Data?
This product has 3 related products. These alternatives include Crime Risk Places Data USA and Canada Make More Informed Business Decisions Location Data Insurance Data, Unacast Demographic Data for U.S. Mobile Devices, and Demographic Data 750M+ Individuals with over 100 Data Points per Profile 5x Better Quality of Global Audience Data. You can compare the best Demographic Data providers and products via Datarade’s data marketplace and get the right data for your use case.