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15171400
1.0
FGDC CSDGM Metadata
FALSE
SACS_Census_Places
002
-89.632476
-64.695674
17.708202
36.550500
1
Geographic
GCS_North_American_1983
Angular Unit: Degree (0.017453)
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20211202
03202200
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FGDC
Esri ArcGIS 12.8.3.29751
SACS_Census_Places
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
Trevor Lancaster
1
-89.632476
-64.695674
36.550500
17.708202
SACS Study Authority
2018-10-01T00:00:00
2022-09-30T00:00:00
SACS Census Places are a subset of 2019 US Census TIGER/line places data within the SACS Study Area that intersect the SACS Tier 1 Risk Assessment’s Composite Risk Index or include economic damages from coastal storm surge inundation as identified in the SACS Tier 2 Economic Risk Assessment. Places include both Census Designated Places and Incorporated Places. Census places are concentrations of population (e.g., cities) that have legally prescribed boundaries, powers, and functions.
<DIV STYLE="text-align:Left;"><DIV><DIV><P STYLE="margin:0 0 11 0;"><SPAN><SPAN>SACS Census Places identify high risk places with regards to coastal storm flooding risk. These designations are assigned by the results of the SACS Tier 1 Risk Assessment, and the SACS Tier 2 Economic Risk Assessment. </SPAN></SPAN></P><P STYLE="margin:0 0 11 0;"><SPAN><SPAN>Tier 1 Risk Assessment</SPAN></SPAN></P><P STYLE="margin:0 0 11 0;"><SPAN><SPAN>To identify areas with potential high-risk, the Tier 1 CRI was intersected with U.S. Census Bureau place boundaries using zonal statistics in GIS to determine both the acreage and intensity of potential risk for that area. Census places include both incorporated places and unincorporated census-designated places. Two thresholds were applied to determine if a census place is considered high-risk in either the existing condition, future condition, or both. At minimum, the combination of medium-high (amber) and high (red) composite risk needed to encompass: - Fifty acres of a census place for the continental United States. This is a conservative threshold, approximately equal to an area extending 1 mile along a shoreline and two blocks inland. For Puerto Rico, 5 acres were used as the threshold and, in the U.S Virgin Islands, the threshold was more qualitative, owing to the relatively small geographic area of its territories. - One-half of one percent of the total area (of a place).</SPAN></SPAN></P><P STYLE="margin:0 0 11 0;"><SPAN><SPAN>Tier 2 Economic Risk Assessment</SPAN></SPAN></P><P STYLE="margin:0 0 11 0;"><SPAN><SPAN>Economic risk ratings for existing and future condition risk are determined by natural break classifications of the expected annual damages of the aggregate of census block values within a census place. Low and Upper bound classification breaks are identified within the Tier 2 Economic Risk Assessment technical report. The natural breaks are relative to census places within each state or territory, except for Florida, where the natural break classifications are sorted by planning reach: FL_06 and FL_07, FL_08 and FL_09, FL_10 and FL_11, and FL_12 and FL_13. </SPAN></SPAN></P><P><SPAN /></P></DIV></DIV></DIV>
USACE, FEMA, US Census Bureau
Boundary
Places
Place
Census Place
Census Places
Risk
Damages
SACS
Economic
Economic Risk Assessment
Tier 2
Tier 1
Tier 1 Risk Assessment
<DIV STYLE="text-align:Left;"><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><DIV><P><SPAN /></P></DIV></DIV>
Trevor Lancaster
US Army Corps of Engineers
Geographer
69 Darlington Ave.
Wilmington
NC
28403
trevor.r.lancaster@usace.army.mil
US
Trevor Lancaster
Trevor Lancaster
Enterprise Geodatabase Feature Class
dataset
EPSG
6.5(3.0.1)
0
Simple
FALSE
0
TRUE
FALSE
SACS_Census_Places
Feature Class
0
OBJECTID
OBJECTID
OID
4
10
0
Internal feature number.
Esri
Sequential unique whole numbers that are automatically generated.
Shape
Shape
Geometry
8
0
0
Feature geometry.
Esri
Coordinates defining the features.
STATEFP
STATEFP
String
2
0
0
Current state Federal Information Processing Series (FIPS) code
US Census Bureau
GEOID
GEOID
String
7
0
0
Place identifier; a concatenation of Current state FIPS code and place FIPS code
US Census Bureau
NAME
NAME
String
100
0
0
Current Place Name
US Census Bureau
NAMELSAD
NAMELSAD
String
100
0
0
Current name and the translated legal/statistical area description for place
US Census Bureau
Tier1ExistingRisk
Tier 1 Existing Condition Med/High Risk
String
3
0
0
A place identified as having med/high potential risk to coastal storm flooding in the existing condition as identified in the SACS Tier 1 Composite Risk Index. Medium and high potential risk was used as a cutoff for High Risk Places as depicted in the SACS Main Report.
USACE
Tier1FutureRisk
Tier 1 Future Condition Med/High Risk
String
3
0
0
A place identified as having med/high potential risk to coastal storm flooding in the future condition as identified in the SACS Tier 1 Composite Risk Index Plus Sea Level Rise. Medium and high potential risk was used as a cutoff for High Risk Places as depicted in the SACS Main Report.
USACE
Tier2ExistingDamages
Tier 2 Existing Condition Expected Annual Dollar 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. These data are aggregated to the place boundary from all census blocks within each place.
USACE
Tier2FutureDamages
Tier 2 Future Condition Expected Annual Dollar 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. These data are aggregated to the place boundary from all census blocks within each place.
USACE
Tier2ExistingRisk
Tier 2 Existing Condition Economic 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
Tier2FutureRisk
Tier 2 Future Condition Economic 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
State
State
String
50
0
0
State or Territory the place is located within.
US Census Bureau
PlanningReach
Planning Reach
String
7
0
0
SACS Planning Reach the place is located within.
USACE
County
County
String
255
0
0
County, Municipio or Island (USVI) the place is located within.
US Census Bureau
Tier1Risk
Tier 1 Risk
String
255
0
0
High risk place classification under existing conditions, future conditions, or none.
USACE
st_area(shape)
st_area(shape)
Double
0
0
0
st_perimeter(shape)
st_perimeter(shape)
Double
0
0
0
20211202
Trevor Lancaster
US Army Corps of Engineers
Geographer
69 Darlington Ave.
Wilmington
NC
28403
trevor.r.lancaster@usace.army.mil
US
910-251-4705
Trevor Lancaster
Trevor Lancaster
Derived from US Census Bureau 2019 TIGER/Line GIS data.
US Census Bureau 2019 TIGER/Line GIS data