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15171100
1.0
FALSE
SACS_Census_Blocks
002
-89.631908
-64.564907
17.673976
36.552147
1
Geographic
GCS_North_American_1983
Angular Unit: Degree (0.017453)
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20211201
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20211201
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FGDC
Esri ArcGIS 12.8.3.29751
SACS_Census_Blocks
2022-07-01T00:00:00
2021-11-29T00:00:00
Trevor Lancaster
US Army Corps of Engineers
Geographer
69 Darlington Ave
Wilmington
NC
28403
trevor.r.lancaster@usace.army.mil
US
910-251-4705
https://data-sacs.opendata.arcgis.com/
Trevor Lancaster
1
-89.631908
-64.564907
36.552147
17.673976
SACS Study Authority
2018-10-01T00:00:00
2022-09-30T00:00:00
The SACS Census Blocks are a subset of the 2019 US Census TIGER/line census blocks GIS data within the SACS Study Area that experience economic damages from coastal storm surge inundation as determined by FEMA’s HAZUS-MH tool in the CONUS portion of the study area, and the FEMA Flood Assessment Screening Tool (FAST) in OCONUS portion of the study area. Census Blocks are statistical areas bounded by visible features (e.g., streets, roads, streams, and railroad tracks, and by nonvisible boundaries, such as selected property lines and city, township, school district, county limits, and short line-of-sight extensions of streets and roads.
<DIV STYLE="text-align:Left;"><DIV><DIV><P STYLE="margin:0 0 11 0;"><SPAN><SPAN>The SACS Tier 2 Economics Risk Assessment is an estimate of storm surge inundation risk to public and private property within the South Atlantic Division (SAD) area of responsibility (AOR). This includes all coastal and riverine areas within the zone of tidal influence in North Carolina (NC), South Carolina (SC), Georgia (GA), Florida (FL), Alabama (AL), Puerto Rico (PR), and the US Virgin Islands (VI). The risk is expressed as the expected annual damages (EAD) to structures and their contents described in dollars. </SPAN></SPAN></P><P STYLE="margin:0 0 11 0;"><SPAN><SPAN>Risks are described as a range between the EAD under existing sea level conditions (low) and the EAD assuming up to 3 ft of future sea level change (high) for the continental U.S. and 2.33 ft of sea level rise for Puerto Rico and the U.S. Virgin Islands. The EADs are presented in a geospatial format at the census block level. These results are initially aggregated to the census block level. Additional SACS Geospatial Data aggregates these values to the Place, County, and State/Territory. </SPAN></SPAN></P><P STYLE="margin:0 0 11 0;"><SPAN><SPAN>The primary use of this risk assessment is to help inform coastal storm risk management (CSRM) decisions regarding the relative distribution of economic risk over space. Other uses include trying to understand the rough order of magnitude range of economic risks associated with a CSRM problem or the achievable risk management from a CSRM measure or solution.</SPAN></SPAN></P><P STYLE="margin:0 0 11 0;"><SPAN><SPAN>The primary dimension of economic risk considered in this effort is storm surge (inundation) risk to infrastructure, public and private property. Damages are presented as consequences of annual exceedance probability (AEP) events and risks are presented as the expected annual damages for the series of storms. Damage values are reflective of structure and content depreciated losses expressed in 2018 price levels. The SACS Tier-II Economic Risk Assessment consists of surge damages to structure and content depreciated values by census block. The risk for CONUS areas was estimated using the FEMA flood loss mitigation model Hazus. Due to Hazus limitations, the FEMA FAST model was used to estimate storm surge risk for the OCONUS areas. Hazus (Hazus) is a multi-hazard loss estimation methodology developed by the Federal Emergency Management Agency (FEMA) for use by federal, state, region, local governments, and private enterprises in planning for risk mitigation, emergency preparedness, response, and recovery. Hazus uses Geographic Information Systems (GIS) technology to estimate physical, economic, and social impact of disasters. </SPAN></SPAN></P><P STYLE="margin:0 0 11 0;"><SPAN><SPAN>To assess potential impacts of coastal flooding as part of the South Atlantic Coastal Study (SACS) the Hazus Flood Model was applied. The analysis included only coastal flooding and omitted any riverine and precipitation contributions to flood water elevations. </SPAN></SPAN></P><P STYLE="margin:0 0 11 0;"><SPAN><SPAN>The Hazus methodology can be applied at any of three levels of analysis: </SPAN></SPAN></P><P STYLE="margin:0 0 11 0;"><SPAN><SPAN>(1) Level 1 – Relies on the extensive national databases embedded in the model. Applies default hazards, inventories, and damage functions. </SPAN></SPAN></P><P STYLE="margin:0 0 11 0;"><SPAN><SPAN>(2) Level 2 – Combines user specified local hazard, inventory, and damage functions with default databases. </SPAN></SPAN></P><P STYLE="margin:0 0 11 0;"><SPAN><SPAN>(3) Level 3 – Involves extensive user specified local hazard and inventory data as well as detailed engineering data. </SPAN></SPAN></P><P STYLE="margin:0 0 11 0;"><SPAN><SPAN>As the level of analysis increases, the level of effort and data sophistication also increases which the level of uncertainty decreases. Given the extent of the AOR a Level 1 analysis was applied.</SPAN></SPAN></P><P STYLE="margin:0 0 11 0;"><SPAN><SPAN>For additional information and detailed methodology on the HAZUS and FAST model inputs, please reference the Tier 2 Economic Risk Assessment Technical report located at the following link: https://www.sad.usace.army.mil/SACS/</SPAN></SPAN></P></DIV></DIV></DIV>
USACE, ERDC, FEMA
Boundary
Census
Blocks
Census Blocks
Risk
Damages
SACS
Economic
Economic Risk Assessment
Tier 2
Trevor Lancaster
US Army Corps of Engineers
Geographer
69 Darlington Ave
Wilmington
NC
28403
trevor.r.lancaster@usace.army.mil
US
910-251-4705
https://data-sacs.opendata.arcgis.com/
Trevor Lancaster
Trevor Lancaster
<DIV STYLE="text-align:Left;"><DIV><DIV><P STYLE="margin:0 0 11 0;"><SPAN><SPAN>These data are compiled for government use and represent the results of data collection/processing for a specific U.S. Army Corps of Engineers (USACE) activity. The USACE makes no representation as to the suitability or accuracy of these data for any other purpose and disclaims any liability for errors that the data may contain. As such, it is valid only for its intended use, content, time, and accuracy specifications.</SPAN></SPAN></P><P><SPAN /></P></DIV></DIV></DIV>
Enterprise Geodatabase Feature Class
dataset
EPSG
6.5(3.0.1)
0
Simple
FALSE
0
TRUE
FALSE
SACS_Census_Blocks
Feature Class
0
The SACS Census Blocks are a subset of the 2019 US Census TIGER/line census blocks GIS data within the SACS Study Area that experience economic damages from coastal storm surge inundation as determined by FEMA’s HAZUS-MH tool in the CONUS portion of the study area, and the FEMA Flood Assessment Screening Tool (FAST) in OCONUS portion of the study area.
SACS
objectid_1
OBJECTID_1
OID
4
10
0
Internal feature number.
Esri
Sequential unique whole numbers that are automatically generated.
Acres
Acres
Double
8
38
8
Census Block area calculated in Acres
SACS
BlockID
BlockID
String
255
0
0
US Census Block GEOID
US Census Bureau
TractID
TractID
String
255
0
0
US Census Tract GEOID
US Census Bureau
CountyID
CountyID
String
255
0
0
County FIPS code
US Census Bureau
PlaceID
PlaceID
String
255
0
0
US Census Block Place GEOID
US Census Bureau
Place_Category
Place Category
String
255
0
0
A designator identifying blocks located in US Census places or outside of US Census Places.
USACE
County
County
String
255
0
0
County the census block is located in. For Puerto Rico, Municipios are used in-place, and for the US Virgin Islands the island is substituted.
US Census Bureau
Place
Place
String
255
0
0
Census place (if applicable) the census block is located within. Census places included census designated places and incorporated places.
US Census Bureau
Region
Region
String
255
0
0
CONUS or OCONUS designation the census block is located within
USACE
PlanningReach
Planning Reach
String
255
0
0
SACS Planning Reach the census block is located within
USACE
State
State
String
255
0
0
State or Territory the census block is located within
US Census Bureau
Latitude
Latitude
Double
8
38
8
Latitude of the centroid of the census block.
USACE
Longitude
Longitude
Double
8
38
8
Longitude of the centroid of the census block
USACE
EC_DL_10Yr
Existing Condition Depreciated Replacement Losses 10 Yr. AEP
Double
8
38
8
Existing Conditions depreciated replacement losses for a 10 yr. Annual Exceedance Probability coastal flood event as calculated by FEMA’s HAZUS-MH for the CONUS census blocks, and FEMA’s FAST tool for the OCONUS census blocks.
USACE
EC_DL_20Yr
Existing Condition Depreciated Replacement Losses 20 Yr. AEP
Double
8
38
8
Existing Conditions depreciated replacement losses for a 20 yr. Annual Exceedance Probability coastal flood event as calculated by FEMA’s HAZUS-MH for the CONUS census blocks, and FEMA’s FAST tool for the OCONUS census blocks.
USACE
EC_DL_50Yr
Existing Condition Depreciated Replacement Losses 50 Yr. AEP
Double
8
38
8
Existing Conditions depreciated replacement losses for a 50 yr. Annual Exceedance Probability coastal flood event as calculated by FEMA’s HAZUS-MH for the CONUS census blocks, and FEMA’s FAST tool for the OCONUS census blocks.
USACE
EC_DL_100Yr
Existing Condition Depreciated Replacement Losses 100 Yr. AEP
Double
8
38
8
Existing Conditions depreciated replacement losses for a 100 yr. Annual Exceedance Probability coastal flood event as calculated by FEMA’s HAZUS-MH for the CONUS census blocks, and FEMA’s FAST tool for the OCONUS census blocks.
USACE
EC_DL_500Yr
Existing Condition Depreciated Replacement Losses 500 Yr. AEP
Double
8
38
8
Existing Conditions depreciated replacement losses for a 500 yr. Annual Exceedance Probability coastal flood event as calculated by FEMA’s HAZUS-MH for the CONUS census blocks, and FEMA’s FAST tool for the OCONUS census blocks.
USACE
FC_DL_10Yr
Future Condition Depreciated Replacement Losses 10 Yr. AEP
Double
8
38
8
Future Conditions depreciated replacement losses for a 10 yr. Annual Exceedance Probability coastal flood event including 3 ft. of sea level rise for the CONUS census blocks, and 2.33 ft. of sea level rise for the OCONUS census blocks, as calculated by FEMA’s HAZUS-MH for CONUS areas and FEMA’s FAST tool for OCONUS areas.
USACE
FC_DL_20Yr
Future Condition Depreciated Replacement Losses 20 Yr. AEP
Double
8
38
8
Future Conditions depreciated replacement losses for a 20 yr. Annual Exceedance Probability coastal flood event including 3 ft. of sea level rise for the CONUS census blocks, and 2.33 ft. of sea level rise for the OCONUS census blocks, as calculated by FEMA’s HAZUS-MH for CONUS areas and FEMA’s FAST tool for OCONUS areas.
USACE
FC_DL_50Yr
Future Condition Depreciated Replacement Losses 50 Yr. AEP
Double
8
38
8
Future Conditions depreciated replacement losses for a 50 yr. Annual Exceedance Probability coastal flood event including 3 ft. of sea level rise for the CONUS census blocks, and 2.33 ft. of sea level rise for the OCONUS census blocks, as calculated by FEMA’s HAZUS-MH for CONUS areas and FEMA’s FAST tool for OCONUS areas.
USACE
FC_DL_100Yr
Future Condition Depreciated Replacement Losses 100 Yr. AEP
Double
8
38
8
Future Conditions depreciated replacement losses for a 100 yr. Annual Exceedance Probability coastal flood event including 3 ft. of sea level rise for the CONUS census blocks, and 2.33 ft. of sea level rise for the OCONUS census blocks, as calculated by FEMA’s HAZUS-MH for CONUS areas and FEMA’s FAST tool for OCONUS areas.
USACE
FC_DL_500Yr
Future Condition Depreciated Replacement Losses 500 Yr. AEP
Double
8
38
8
Future Conditions depreciated replacement losses for a 500 yr. Annual Exceedance Probability coastal flood event including 3 ft. of sea level rise for the CONUS census blocks, and 2.33 ft. of sea level rise for the OCONUS census blocks, as calculated by FEMA’s HAZUS-MH for CONUS areas and FEMA’s FAST tool for OCONUS areas.
USACE
EC_DL_EAD
Existing Condition Depreciated Replacement Losses Expected Annual Damages
Double
8
38
8
Existing Condition expected annual damages are damages expressed as a monetary value that occur in any given year if all AEP event probabilities and magnitudes were spread out equally over time.
USACE
FC_DL_EAD
Future Condition Depreciated Replacement Losses Expected Annual Damages
Double
8
38
8
Future Condition expected annual damages are total damages within each census block, under sea level rise scenarios (3 ft. for CONUS, 2.33 ft for OCONUS), expressed as a monetary value that occur in any given year if all AEP event probabilities and magnitudes were spread out equally over time.
USACE
EC_Risk
Existing Condition Risk
String
255
0
0
A risk rating assigned using the Jenks Natural Breaks Classification using five classification bins of Low Risk, Low-Med, Risk, Med Risk, Med-High Risk, and High Risk. Relative Risk Classifications are detailed in the Tier 2 Economic Risk Assessment Report on Tables 7 and 8.
USACE
FC_Risk
Future Condition Risk
String
255
0
0
A risk rating assigned using the Jenks Natural Breaks Classification using five classification bins of Low Risk, Low-Med, Risk, Med Risk, Med-High Risk, and High Risk. Relative Risk Classifications are detailed in the Tier 2 Economic Risk Assessment Report on Tables 7 and 8.
USACE
Focus_Area
Focus Area
String
255
0
0
The SACS focus area the census block is located within (if applicable).
USACE
objectid
ObjectID
Integer
4
10
0
shape
Shape
Geometry
8
0
0
Feature geometry.
Esri
Coordinates defining the features.
st_area(shape)
st_area(shape)
Double
0
0
0
st_perimeter(shape)
st_perimeter(shape)
Double
0
0
0
20211201
Trevor Lancaster
US Army Corps of Engineers
Geographer
69 Darlington Ave
Wilmington
NC
28403
trevor.r.lancaster@usace.army.mil
US
910-251-4705
https://data-sacs.opendata.arcgis.com/
Trevor Lancaster
Trevor Lancaster
<DIV STYLE="text-align:Left;"><DIV><P><SPAN>These data are compiled for government use and represent the results of data collection/processing for a specific U.S. Army Corps of Engineers (USACE) activity. The USACE makes no representation as to the suitability or accuracy of these data for any other purpose and disclaims any liability for errors that the data may contain. As such, it is valid only for its intended use, content, time, and accuracy specifications.</SPAN></P></DIV></DIV>