20200924
13315900
1.0
FALSE
POST_5KM_Delta_20201009_1440
002
Geographic
GCS_North_American_1983
Angular Unit: Degree (0.017453)
<GeographicCoordinateSystem xsi:type='typens:GeographicCoordinateSystem' xmlns:xsi='http://www.w3.org/2001/XMLSchema-instance' xmlns:xs='http://www.w3.org/2001/XMLSchema' xmlns:typens='http://www.esri.com/schemas/ArcGIS/2.5.0'><WKT>GEOGCS["GCS_North_American_1983",DATUM["D_North_American_1983",SPHEROID["GRS_1980",6378137.0,298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433],AUTHORITY["EPSG",4269]]</WKT><XOrigin>-400</XOrigin><YOrigin>-400</YOrigin><XYScale>1111948722.2222221</XYScale><ZOrigin>-100000</ZOrigin><ZScale>10000</ZScale><MOrigin>-100000</MOrigin><MScale>10000</MScale><XYTolerance>8.9831528411952133e-09</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><LeftLongitude>-180</LeftLongitude><WKID>4269</WKID><LatestWKID>4269</LatestWKID></GeographicCoordinateSystem>
20201009
14493400
20201009
14493400
Esri ArcGIS 12.5.0.22081
POST_5KM_Delta_20201009_1440
POST
This feature service shares the most recent POST run from FEMA HQ for an event.
File Geodatabase Feature Class
dataset
EPSG
9.8(3.0.1)
0
Simple
FALSE
0
TRUE
FALSE
POST_5KM_Delta_20201009_1440
Feature Class
0
OBJECTID_1
OBJECTID_1
OID
4
0
0
Internal feature number.
Esri
Sequential unique whole numbers that are automatically generated.
Shape
Shape
Geometry
0
0
0
Feature geometry.
Esri
Coordinates defining the features.
usng5km
usng5km
String
24
0
0
pop
pop
Double
8
0
0
households
households
Double
8
0
0
housingunits
housingunits
Double
8
0
0
pop65over
pop65over
Double
8
0
0
pop16overunemployed
pop16overunemployed
Double
8
0
0
pop16overnotinlaborforce
pop16overnotinlaborforce
Double
8
0
0
popamindianalaskan
popamindianalaskan
Double
8
0
0
householdsinpoverty
householdsinpoverty
Double
8
0
0
householdsdsfs
householdsdsfs
Double
8
0
0
householdsdsnofs
householdsdsnofs
Double
8
0
0
householdswithfs
householdswithfs
Double
8
0
0
householdswithpa
householdswithpa
Double
8
0
0
housingunitsmobilehomes
housingunitsmobilehomes
Double
8
0
0
lep
lep
Double
8
0
0
OBJECTID
OBJECTID
Integer
4
0
0
Join_Count
Join_Count
Integer
4
0
0
TARGET_FID
TARGET_FID
Integer
4
0
0
usng5km_1
usng5km
String
24
0
0
lep_1
lep
Double
8
0
0
ORIG_FID
ORIG_FID
Integer
4
0
0
NAME
NAME
String
32
0
0
STATE_NAME
STATE_NAME
String
35
0
0
FIPS
FIPS
String
5
0
0
Shape_Leng
Shape_Leng
Double
8
0
0
hazardTotalScore
hazardTotalScore
SmallInteger
2
0
0
Hazard_Rank
Hazard_Rank
SmallInteger
2
0
0
TotalPopScore
TotalPopScore
SmallInteger
2
0
0
SV_Score_Rank_NonWeighted
SV_Score_Rank_NonWeighted
SmallInteger
2
0
0
TotalPopScoreWeighted
TotalPopScoreWeighted
SmallInteger
2
0
0
SV_Score_Rank_Weighted
SV_Score_Rank_Weighted
SmallInteger
2
0
0
Collection_Priority_Non_Weighted
Collection_Priority_Non_Weighted
SmallInteger
2
0
0
Collection_Priority_Weighted
Collection_Priority_Weighted
SmallInteger
2
0
0
Date
Date
Date
8
0
0
Event
Event
String
255
0
0
Comments
Comments
String
255
0
0
Shape_Length
Shape_Length
Double
8
0
0
Length of feature in internal units.
Esri
Positive real numbers that are automatically generated.
Shape_Area
Shape_Area
Double
8
0
0
Area of feature in internal units squared.
Esri
Positive real numbers that are automatically generated.
20201009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