GapMaps Environmental Risk Data by AGS | USA | Census Block Level product image in hero

GapMaps Environmental Risk Data by AGS | USA | Census Block Level

GapMaps
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#
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
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... xxxxxxx Xxxxxxxx Xxxxxxx xxxxx xxxxxxxx xxxxxxxxxx Xxxxxx xxxxxxxxx Xxxxx xxxxx xxxxxxxxx
Sign In To Preview Data
#
ID
NAME
HHDCY
POPCY
NRKWRSKI
NRKHURI
NRKTORI
NRKHAILI
NRKWINDI
NRKWFRI
NRKQUKI
NRKSEALVLI
NRKSTMSGI
NRKTSNMI
RSKCYQUAK
RSKCYRISK
RSKCYHUFQ
RSKCYHUAS
RSKCYHUMS
RSKCYHUNX
RSKCYTOFQ
RSKCYTOAI
RSKCYTOFT
RSKCYTODM
RSKCYTONX
RSKCYHAFQ
RSKCYHAAS
RSKCYHAMS
RSKCYHANX
RSKCYWIFQ
RSKCYWIAS
RSKCYWIMS
RSKCYWINX
RSKCYWFRAW
RSKCYWFIRE
TMPAVEANN
TMPMAXANN
TMPMINANN
TMPAVEJAN
TMPMAXJAN
TMPMINJAN
TMPAVEJUL
TMPMAXJUL
TMPMINJUL
PREANNRAIN
PREANNSNOW
DEGDAYCOOL
DEGDAYHEAT
OZONE
CARBMONO
LEAD
NO2
PM10
PKZ20ZONE
PKZ20ZONE2
KC20CLASS
KCC20CLSS2
AREA
SLD22AREA
SLD22WATER
SLD22LAND
SLD22PROT
SLD22UNPRO
NRKELEV
NRKSLOPE
NRKSLPSTD
NRKTRUGI
NRKMINELEV
NRKMAXELEV
DNI22ANN
GHI22ANN
LAT22ANN
DNI22JAN
DNI22FEB
DNI22MAR
DNI22APR
DNI22MAY
DNI22JUN
DNI22JUL
DNI22AUG
DNI22SEP
DNI22OCT
DNI22NOV
DNI22DEC
GHI22JAN
GHI22FEB
GHI22MAR
GHI22APR
GHI22MAY
GHI22JUN
GHI22JUL
GHI22AUG
GHI22SEP
GHI22OCT
GHI22NOV
GHI22DEC
LAT22JAN
LAT22FEB
LAT22MAR
LAT22APR
LAT22MAY
LAT22JUN
LAT22JUL
LAT22AUG
LAT22SEP
LAT22OCT
LAT22NOV
LAT22DEC
SLD22WALK
SLD22SLC
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 xxxxxxx Xxxxx Xxxxxxxx xxxxxxxxxx xxxxxx Xxxxxxxxx xxxxxx Xxxxxxxxx Xxxxxxxxx xxxxxxxxxx Xxxxxx Xxxxx xxxxxx xxxxxxx xxxxxxx Xxxxx xxxxxx Xxxxxxxxxx xxxxxxxx xxxxxx Xxxxx Xxxxxxx xxxxxx Xxxxxxxx Xxxxxxx Xxxxx xxxxxx xxxxxxxxxx Xxxxx xxxxxxxxxx xxxxxxxxx Xxxxxxx xxxxxxxx xxxxxxxx Xxxxxxxxxx Xxxxxxxx Xxxxxxxx xxxxxxxxx Xxxxxxxxxx Xxxxxx Xxxxxxxxx xxxxx xxxxxxx xxxxxxxxx Xxxxxx Xxxxxxx Xxxxxxxxx xxxxxxxxx xxxxxxxxx Xxxxx xxxxxxxx Xxxxxxx xxxxxxxxx Xxxxxxx xxxxx Xxxxxxx xxxxxxx Xxxxx xxxxxxxxxx Xxxxxxx Xxxxx xxxxxxxxxx Xxxxxx xxxxxx Xxxxxxxxx xxxxx Xxxxxxxxxx xxxxxx xxxxx xxxxxxxx Xxxxxx Xxxxxxxxxx xxxxxxxxx Xxxxxxxxxx xxxxxxxx xxxxx Xxxxxx xxxxxxxxxx xxxxxxxxx xxxxx xxxxx xxxxxxxx xxxxxx Xxxxxxxxxx xxxxxxxxxx Xxxxx
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3 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 xxxxxx xxxxxxxxxx xxxxxxxxxx Xxxxxxx xxxxxxxxx Xxxxx xxxxxxx Xxxxxx Xxxxx xxxxxxxxxx xxxxxxxxx Xxxxxxxxxx Xxxxxxxxx Xxxxxxxx xxxxxxxxx Xxxxxxx Xxxxxxx Xxxxx xxxxxxxxxx Xxxxxxxxx Xxxxxxx Xxxxxxx xxxxxxxx xxxxx Xxxxx Xxxxxxxx xxxxxxxx Xxxxxxxxx xxxxxxxxxx xxxxxxxxxx xxxxxxxxx xxxxxxxxx Xxxxxxx Xxxxxxx Xxxxxxx Xxxxxxx xxxxxxx Xxxxxxxxxx xxxxxxxx Xxxxx xxxxxxxxxx xxxxxxxxxx xxxxxx xxxxxxxx Xxxxxxxx xxxxxx xxxxxxxx xxxxxx Xxxxxxxx xxxxxxxxx xxxxx Xxxxxxxxxx Xxxxxxxxx Xxxxxxx xxxxxxxx Xxxxxxx Xxxxxxxxxx Xxxxxxxxx xxxxxxxxxx xxxxxxx Xxxxxxxxx xxxxxxxxx xxxxxxxx xxxxxxxxx xxxxx Xxxxx
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9 xxxxxx Xxxxx xxxxxxxxxx xxxxxx xxxxxxxx xxxxxxxxxx Xxxxxxx xxxxxx xxxxxxxx xxxxx xxxxxxxx xxxxx Xxxxx xxxxxx xxxxxxxxx Xxxxxxxx Xxxxxxxxx Xxxxx Xxxxx xxxxxxxx Xxxxx xxxxxxxxxx Xxxxxxx xxxxxxx xxxxxx xxxxxx xxxxxxxxx Xxxxxx Xxxxx xxxxxxxxxx Xxxxxxxxxx xxxxx Xxxxx Xxxxxxx Xxxxx xxxxxxxxx xxxxxxxxx Xxxxxxx xxxxxxx xxxxx xxxxxxx xxxxxxxx Xxxxxxx xxxxxxxx Xxxxxxxxxx Xxxxxxx xxxxxxx xxxxxx Xxxxxxxxxx Xxxxx xxxxxxx Xxxxxxxx Xxxxxxxxxx Xxxxx Xxxxxx xxxxx xxxxx Xxxxxxxx Xxxxxx Xxxxx Xxxxx xxxxx Xxxxxxx Xxxxxxxxx xxxxxx Xxxxxxxxxx Xxxxxxxxx xxxxx Xxxxxxxx xxxxxxxxxx Xxxxxxx Xxxxxxxx Xxxxxx Xxxxxxxxxx xxxxxx xxxxxxxxx Xxxxxx xxxxxxxxx Xxxxxxxxx Xxxxxxxxxx Xxxxxxxxxx Xxxxxxxx Xxxxxxxxx Xxxxxx Xxxxxxxx Xxxxxxxxxx xxxxxxxxx xxxxxx xxxxxx xxxxxxxxx xxxxx Xxxxxxxxxx Xxxxxxxxxx Xxxxxxx xxxxxxxxxx xxxxxxxx xxxxxxxxx Xxxxxxxxxx Xxxxxx Xxxxxxx Xxxxxxxxx xxxxxxxxx xxxxxx Xxxxx xxxxxxxxxx xxxxxx xxxxx xxxxxxxxx xxxxxxxx Xxxxxxx
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... Xxxxxx Xxxxxxxxxx Xxxxxxxxx Xxxxxxxxx xxxxxxxx Xxxxx xxxxxxxxxx Xxxxxxx xxxxxxxx xxxxx xxxxxxxxx xxxxxxxx Xxxxxx xxxxxxx xxxxxxx Xxxxxxxx Xxxxx xxxxxxx Xxxxxxxxxx xxxxxxx xxxxxxxxx xxxxx xxxxxxxxx xxxxxx Xxxxxxxxx Xxxxxxxxxx Xxxxxxxx xxxxxx Xxxxxxxxxx xxxxx Xxxxxxxxxx xxxxxxx xxxxx Xxxxxxxx Xxxxxx Xxxxxxx Xxxxxx xxxxx Xxxxxxxxx xxxxxx Xxxxxxxxxx Xxxxxxxx xxxxxxx xxxxx xxxxxx Xxxxxxxx Xxxxxxx xxxxx Xxxxxx Xxxxxx Xxxxxx Xxxxxxxxx xxxxxxxxxx xxxxxxxxx Xxxxx Xxxxxxxxx xxxxx xxxxxxxx xxxxxxxxxx Xxxxx xxxxx Xxxxxx Xxxxxxxxx xxxxxxxxxx xxxxxxxxxx xxxxx xxxxxxxxxx Xxxxxxxxx Xxxxx xxxxx xxxxxxxx Xxxxx Xxxxxx Xxxxxxxxxx xxxxxx xxxxxxxxx xxxxxxxxx xxxxxxx Xxxxx xxxxxxxxx xxxxxxxxx xxxxx Xxxxxxx Xxxxxxxx Xxxxx Xxxxxx xxxxxxxx Xxxxxx Xxxxxxxxxx Xxxxxx xxxxxxxx xxxxxxx Xxxxxxxxx Xxxxxxxx Xxxxxxxxxx xxxxxxx xxxxxx xxxxxxx Xxxxxxx Xxxxxx Xxxxxxx xxxxxxx Xxxxxx xxxxxxxxx Xxxxxxxxxx xxxxxxxxx xxxxxx Xxxxxxx Xxxxxxxx xxxxxxxx
Sign In To Preview Data
Volume
5
year projections
Avail. Format
.csv
File
Coverage
2
Countries
History
1
years

Data Dictionary

[Sample] nj_bg_premium_environment-dictionary.csv
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
[Sample] nj_bg_premium_environment.csv
Attribute Type Example Mapping
ID
Float 340010000000.0
NAME
String BG 1 Atlantic County Tract 000100
HHDCY
Integer 364
POPCY
Integer 1131
NRKWRSKI
Float 3.22
NRKHURI
Float 2.9
NRKTORI
Float 1.23
NRKHAILI
Float 0.13
NRKWINDI
Float 1.05
NRKWFRI
Float 6.77
NRKQUKI
Float 0.36
NRKSEALVLI
Float 0.55
NRKSTMSGI
Float 1.69
NRKTSNMI
Float 3.1
RSKCYQUAK
Integer 31
RSKCYRISK
Integer 156
RSKCYHUFQ
Integer 213
RSKCYHUAS
Integer 176
RSKCYHUMS
Integer 172
RSKCYHUNX
Integer 257
RSKCYTOFQ
Integer 39
RSKCYTOAI
Integer 99
RSKCYTOFT
Integer 130
RSKCYTODM
Integer 140
RSKCYTONX
Integer 61
RSKCYHAFQ
Integer 13
RSKCYHAAS
Integer 101
RSKCYHAMS
Integer 62
RSKCYHANX
Integer 12
RSKCYWIFQ
Integer 66
RSKCYWIAS
Integer 107
RSKCYWIMS
Integer 117
RSKCYWINX
Integer 68
RSKCYWFRAW
Integer 2971
RSKCYWFIRE
Integer 771
TMPAVEANN
Float 55.43
TMPMAXANN
Float 61.73
TMPMINANN
Float 49.12
TMPAVEJAN
Float 35.33
TMPMAXJAN
Float 41.81
TMPMINJAN
Float 28.86
TMPAVEJUL
Float 75.68
TMPMAXJUL
Float 81.66
TMPMINJUL
Float 69.78
PREANNRAIN
Float 40.15
PREANNSNOW
Float 4.05
DEGDAYCOOL
Integer 975
DEGDAYHEAT
Integer 4433
OZONE
Integer 102
CARBMONO
Integer 70
LEAD
Integer 89
NO2
Integer 92
PM10
Integer 118
PKZ20ZONE
String Zone 7B (5-10 degrees)
PKZ20ZONE2
String Zone 9B (25-30 degrees)
KC20CLASS
String Temperate (no dry season/hot summer)
KCC20CLSS2
String Continental (no dry season/warm summer)
AREA
Float 0.29
SLD22AREA
Float 0.3843
SLD22WATER
Float 0.2959
SLD22LAND
Float 0.0884
SLD22PROT
Float 0.1681
SLD22UNPRO
Float 0.2163
NRKELEV
Float 5.01
NRKSLOPE
Float 0.39
NRKSLPSTD
Float 0.78
NRKTRUGI
Float 0.75
NRKMINELEV
Integer 0
NRKMAXELEV
Float 19.94
DNI22ANN
Float 4.09
GHI22ANN
Float 4.13
LAT22ANN
Float 4.83
DNI22JAN
Float 3.43
DNI22FEB
Float 4.05
DNI22MAR
Float 4.33
DNI22APR
Float 4.31
DNI22MAY
Float 4.41
DNI22JUN
Float 4.61
DNI22JUL
Float 4.88
DNI22AUG
Float 4.61
DNI22SEP
Float 4.24
DNI22OCT
Float 3.81
DNI22NOV
Float 3.26
DNI22DEC
Float 3.18
GHI22JAN
Float 2.1
GHI22FEB
Float 3.01
GHI22MAR
Float 4.07
GHI22APR
Float 4.94
GHI22MAY
Float 5.72
GHI22JUN
Float 6.08
GHI22JUL
Float 6.16
GHI22AUG
Float 5.5
GHI22SEP
Float 4.46
GHI22OCT
Float 3.28
GHI22NOV
Float 2.33
GHI22DEC
Float 1.88
LAT22JAN
Float 3.71
LAT22FEB
Float 4.54
LAT22MAR
Float 5.09
LAT22APR
Float 5.2
LAT22MAY
Float 5.42
LAT22JUN
Float 5.51
LAT22JUL
Float 5.75
LAT22AUG
Float 5.63
LAT22SEP
Float 5.24
LAT22OCT
Float 4.57
LAT22NOV
Float 3.83
LAT22DEC
Float 3.49
SLD22WALK
Float 14.5
SLD22SLC
Float 72.81

Description

GapMaps USA Environmental Risk data sourced from Applied Geographic Solutions (AGS) consists of several separate database components including Weather Risks, Seismological Risks, Wildfire Risk, Elevation and Terrain, Climate and Air Quality.
GapMaps Environmental Risk data sourced from Applied Geographic Solutions (AGS) covers five separate risks: - Hurricane - Tornado - Hail - Damaging Winds - Coastal Storm Surge Inundation A wide range of applications benefit from these databases, including insurance underwriting, retail merchandising, and real estate. In some cases, many of these variables are simply useful for reference purposes or general interest. For automated merchandising systems, the environmental risk climate data (average January, July, and annual temperatures, rainfall, and snowfall) can help to avoid costly stocking errors. The heating and cooling degree days can assist in determining demand for heating and cooling equipment, for example. These measures also are of general interest, especially in residential real estate applications. The seismology risk includes both earthquake risk and tsunami risk, and can provide surprising insights in areas outside the well-known seismic zones of the far western states. The air quality measures captured in the Environmental Risk Dataset can be important to individuals contemplating relocation, health care research, and commercial site selection and economic development. The nature of the local terrain in the Environment Risk Dataset can be of great interest to real estate developers and others; local terrain variables include elevation (minimum, maximum, average), slope (average, maximum), and ruggedness. The TRI (Terrain Ruggedness Index) is a new index which encapsulates the overall nature of the local terrain. Wildfire are an annual major risk in most areas of the western United States, and while large fires often burn in the rugged and generally unpopulated mountainous areas, the combination of dry conditions, heat, and winds can often lead to major disasters along what is known as the wildland-urban interface. In addition, the coastal sea level rise risk index included in the Environmental Risk dataset is useful for long term planning, assuming that sea levels may rise over the coming decades due to climate change. Detailed Methodology document available on the AGS website: https://appliedgeographic.com/wp-content/uploads/2024/05/AGS-Environmental-2024A.pdf

Country Coverage

North America (2)
Canada
United States of America

History

1 years of historical data

Volume

5 year projections

Pricing

Free sample available
License Starts at
One-off purchase Not available
Monthly License Not available
Yearly License Available
Usage-based Not available

Suitable Company Sizes

Small Business
Medium-sized Business
Enterprise

Delivery

Methods
S3 Bucket
REST API
Frequency
yearly
Format
.csv

Use Cases

Categories

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Frequently asked questions

What is GapMaps Environmental Risk Data by AGS USA Census Block Level?

GapMaps USA Environmental Risk data sourced from Applied Geographic Solutions (AGS) consists of several separate database components including Weather Risks, Seismological Risks, Wildfire Risk, Elevation and Terrain, Climate and Air Quality.

What is GapMaps Environmental Risk Data by AGS USA 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 Business Location Data from GapMaps to fuel their analytics and enrichment.

Who can use GapMaps Environmental Risk Data by AGS USA Census Block Level?

This product is best suited if you’re a Medium-sized Business or Enterprise looking for Business Location 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 Environmental Risk Data by AGS USA Census Block Level go?

This product has 1 years of historical coverage. It can be delivered on a yearly basis.

Which countries does GapMaps Environmental Risk Data by AGS USA Census Block Level cover?

This product includes data covering 2 countries like USA and Canada. GapMaps is headquartered in Australia.

How much does GapMaps Environmental Risk Data by AGS USA Census Block Level cost?

Pricing information for GapMaps Environmental Risk Data by AGS USA 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 Environmental Risk Data by AGS USA Census Block Level?

Businesses can buy Business Location Data from GapMaps and get the data via S3 Bucket and REST API. Depending on your data requirements and subscription budget, GapMaps can deliver this product in .csv format.

What is the data quality of GapMaps Environmental Risk Data by AGS USA 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 Environmental Risk Data by AGS USA 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, Echo Analytics POI & Building Footprint Data 11M+ Locations in UK, France, Italy, Germany & Spain Point of Interest Data, and Commercial Real Estate Data 52M+ POI SafeGraph Property Dataset. You can compare the best Business Location Data providers and products via Datarade’s data marketplace and get the right data for your use case.

Pricing available upon request
License Starts at
One-off purchase Not available
Monthly License Not available
Yearly License Available
Usage-based Not available

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