20240505
03563800
1.0
FALSE
Parks_Final_Po_ExportFeature
002
Projected
GCS_North_American_1983
Linear Unit: Foot_US (0.304801)
NAD_1983_StatePlane_California_V_FIPS_0405_Feet
<ProjectedCoordinateSystem xsi:type='typens:ProjectedCoordinateSystem' 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/3.1.0'><WKT>PROJCS["NAD_1983_StatePlane_California_V_FIPS_0405_Feet",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]],PROJECTION["Lambert_Conformal_Conic"],PARAMETER["False_Easting",6561666.666666666],PARAMETER["False_Northing",1640416.666666667],PARAMETER["Central_Meridian",-118.0],PARAMETER["Standard_Parallel_1",34.03333333333333],PARAMETER["Standard_Parallel_2",35.46666666666667],PARAMETER["Latitude_Of_Origin",33.5],UNIT["Foot_US",0.3048006096012192],AUTHORITY["EPSG",2229]]</WKT><XOrigin>-117608900</XOrigin><YOrigin>-91881400</YOrigin><XYScale>3048.0060960121928</XYScale><ZOrigin>-100000</ZOrigin><ZScale>10000</ZScale><MOrigin>-100000</MOrigin><MScale>10000</MScale><XYTolerance>0.0032808333333333331</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><WKID>102645</WKID><LatestWKID>2229</LatestWKID></ProjectedCoordinateSystem>
20240506
02482500
20240506
02482500
Esri ArcGIS 13.1.3.41833
Parks_Final_Po_ExportFeature
File Geodatabase Feature Class
dataset
EPSG
5.3(9.0.0)
0
Simple
FALSE
0
TRUE
FALSE
Parks_Final_Po_ExportFeature
Feature Class
0
OBJECTID_12_13
OBJECTID_12_13
OID
4
0
0
Internal feature number.
Esri
Sequential unique whole numbers that are automatically generated.
OBJECTID
ObjectId
SmallInteger
2
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.
Join_Count
Join_Count
Integer
4
0
0
TARGET_FID
TARGET_FID
Integer
4
0
0
Input_FID
Input_FID
Integer
4
0
0
POINTID
POINTID
Integer
4
0
0
OBJECTID_1
OBJECTID_1
Integer
4
0
0
Census_Tra
Census_Tra
String
20
0
0
County
County
String
18
0
0
CSA_Type
CSA_Type
String
14
0
0
CSA_Label
CSA_Label
String
55
0
0
DRP_Planni
DRP_Planni
String
37
0
0
DPH_Servic
DPH_Servic
String
15
0
0
City_of_Lo
City_of_Lo
String
74
0
0
Population
Population
Integer
4
0
0
Children
Children
Double
8
0
0
Older_Adul
Older_Adul
Double
8
0
0
Older_Ad_1
Older_Ad_1
Double
8
0
0
Limited_En
Limited_En
Double
8
0
0
No_High_Sc
No_High_Sc
Double
8
0
0
Female
Female
Double
8
0
0
Female_Hou
Female_Hou
Double
8
0
0
Asthma
Asthma
Double
8
0
0
Cardiovasc
Cardiovasc
Double
8
0
0
Disability
Disability
Double
8
0
0
No_Health_
No_Health_
Double
8
0
0
Living_in_
Living_in_
Double
8
0
0
Mobile_Hom
Mobile_Hom
Double
8
0
0
Rent_Burde
Rent_Burde
Double
8
0
0
Renters
Renters
Double
8
0
0
Median_Inc
Median_Inc
Integer
4
0
0
Poverty
Poverty
Double
8
0
0
Households
Households
Double
8
0
0
Transit_Ac
Transit_Ac
Double
8
0
0
Outdoor_Wo
Outdoor_Wo
Double
8
0
0
Unemployed
Unemployed
Double
8
0
0
Foreign_Bo
Foreign_Bo
Double
8
0
0
Library_Ac
Library_Ac
Double
8
0
0
No_Interne
No_Interne
Double
8
0
0
Voter_Turn
Voter_Turn
Double
8
0
0
Hispanic_L
Hispanic_L
Double
8
0
0
White
White
Double
8
0
0
Black
Black
Double
8
0
0
Native_Tri
Native_Tri
Double
8
0
0
Asian
Asian
Double
8
0
0
NHOPI
NHOPI
Double
8
0
0
Other_Race
Other_Race
Double
8
0
0
Two_or_Mor
Two_or_Mor
Double
8
0
0
SoVI_Score
SoVI_Score
Double
8
0
0
SoVI_Third
SoVI_Third
SmallInteger
2
0
0
GRID_CODE
GRID_CODE
Integer
4
0
0
Shape__Are
Shape__Are
Double
8
0
0
Shape__Len
Shape__Len
Double
8
0
0
Shape_Length_1
Shape_Length
Double
8
0
0
Shape_Area_1
Shape_Area
Double
8
0
0
OBJECTID_12
OBJECTID_1
Integer
4
0
0
Join_Count_1
Join_Count
Integer
4
0
0
TARGET_FID_1
TARGET_FID
Integer
4
0
0
Input_FID_1
Input_FID
Integer
4
0
0
POINTID_1
POINTID
Integer
4
0
0
GRID_CODE_1
GRID_CODE
Integer
4
0
0
Shape_Length_12
Shape_Length
Double
8
0
0
Shape_Area_12
Shape_Area
Double
8
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.
20240506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