GapMaps Crime Risk Insurance Data by AGS | USA and Canada| Census Block Level
# | 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 GapMaps Crime Risk Insurance Data by AGS USA and Canada Census Block Level?
GapMaps USA and Canada Crime Risk Insurance data sourced from Applied Geographic Solutions (AGS) includes crime risk indexes and projections at census block level on detailed crime types like murder and motor vehicle theft, and summary indexes of crimes against persons, property and overall crime.
What is GapMaps Crime Risk Insurance Data by AGS USA and Canada Census Block Level 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 GapMaps Crime Risk Insurance Data by AGS USA and Canada Census Block Level?
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 GapMaps Crime Risk Insurance Data by AGS USA and Canada Census Block Level go?
This product has 1 years of historical coverage. It can be delivered on a yearly basis.
Which countries does GapMaps Crime Risk Insurance Data by AGS USA and Canada Census Block Level cover?
This product includes data covering 2 countries like USA and Canada. GapMaps is headquartered in Australia.
How much does GapMaps Crime Risk Insurance Data by AGS USA and Canada Census Block Level cost?
Pricing information for GapMaps Crime Risk Insurance Data by AGS USA and Canada Census Block Level 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 GapMaps Crime Risk Insurance Data by AGS USA and Canada Census Block Level?
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 GapMaps Crime Risk Insurance Data by AGS USA and Canada Census Block Level?
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 GapMaps Crime Risk Insurance Data by AGS USA and Canada Census Block Level?
This product has 3 related products. These alternatives include GapMaps Crime Risk Data by AGS USA and Canada 5 year projections Census Block Level, Geospatial Data: Places Data Global Location Data on 52M+ Places, and Explore Geodemographic Data, Demographic Data, Geographic Data and Geospatial Data with APISCRAPY - Your Ultimate Data Destination. You can compare the best Demographic Data providers and products via Datarade’s data marketplace and get the right data for your use case.