20221006
08450300
1.0
FALSE
All_Project_Data
002
Projected
GCS_North_American_1983
Linear Unit: Meter (1.000000)
NAD_1983_UTM_Zone_16N
<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/2.9.0'><WKT>PROJCS["NAD_1983_UTM_Zone_16N",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["Transverse_Mercator"],PARAMETER["False_Easting",500000.0],PARAMETER["False_Northing",0.0],PARAMETER["Central_Meridian",-87.0],PARAMETER["Scale_Factor",0.9996],PARAMETER["Latitude_Of_Origin",0.0],UNIT["Meter",1.0],AUTHORITY["EPSG",26916]]</WKT><XOrigin>-5120900</XOrigin><YOrigin>-9998100</YOrigin><XYScale>10000</XYScale><ZOrigin>-100000</ZOrigin><ZScale>10000</ZScale><MOrigin>-100000</MOrigin><MScale>10000</MScale><XYTolerance>0.001</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><WKID>26916</WKID><LatestWKID>26916</LatestWKID></ProjectedCoordinateSystem>
20221013
14485200
20221013
14485200
Esri ArcGIS 12.9.0.32739
All_Project_Data
INDOTCRPProjectsEMPONIRCCSPMSdo_not_remove_this_tag_a1669738169297
All CRP eligible projects from the INDOT SPMS, EMPO, and NIRCC
File Geodatabase Feature Class
dataset
EPSG
6.11(3.0.1)
0
Simple
FALSE
0
TRUE
FALSE
All_Project_Data
Feature Class
0
Shape
Shape
Geometry
0
0
0
Feature geometry.
Esri
Coordinates defining the features.
DES
DES
String
255
0
0
CONTRACT_P
CONTRACT_P
String
255
0
0
CONTRACT
CONTRACT
String
255
0
0
LOCATION
LOCATION
String
255
0
0
RP_FROM
RP_FROM
Integer
4
0
0
OFF_FROM
OFF_FROM
Integer
4
0
0
RP_TO
RP_TO
Integer
4
0
0
OFF_TO
OFF_TO
Integer
4
0
0
LRS
LRS
String
255
0
0
RFC
RFC
Date
8
0
0
PHASE
PHASE
String
255
0
0
WORKTYPE
WORKTYPE
String
255
0
0
WORKCAT
WORKCAT
String
255
0
0
WORKDESC
WORKDESC
String
255
0
0
LETTING_DA
LETTING_DA
Date
8
0
0
DIST_NAME
DIST_NAME
String
255
0
0
LEAD_PROJE
LEAD_PROJE
String
255
0
0
CORRIDOR
CORRIDOR
String
255
0
0
NBI
NBI
String
255
0
0
LETTING_FY
LETTING_FY
String
255
0
0
PROGRESS
PROGRESS
String
255
0
0
COUNTY
COUNTY
String
255
0
0
SPONSOR
SPONSOR
String
255
0
0
SYS_DT
SYS_DT
Date
8
0
0
DES_PROJEC
DES_PROJEC
Integer
4
0
0
YEAR_NUM
YEAR_NUM
Integer
4
0
0
FUNDED
Funded
String
8
0
0
CRP_Potential
CRP Potential
String
8
0
0
DES_Num
Des_Num
Integer
4
0
0
ProjectCategory_Num
Project Category Number
Double
8
0
0
ProjectCategory
Project Category
String
255
0
0
EligibilityType
Eligibility Type
String
255
0
0
OBJECTID
OBJECTID
OID
4
0
0
Internal feature number.
Esri
Sequential unique whole numbers that are automatically generated.
Conditional_Req
Conditional_Req
String
255
0
0
Final_GEOID10_UA
Urban Area GEOID
String
255
0
0
Final_NAME10_UA
Urban Area Name
String
255
0
0
Final_Census_2010_Pop_UA
Urban Area Population 2010
Double
8
0
0
Final_Tier_2010_UA
Urban Area Tier
Integer
4
0
0
Final_MPO_ID_MPO
MPO ID
String
255
0
0
Final_MPO_NAME_MPO
MPO Name
String
255
0
0
Source
Source
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.
20221013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