20240318
10093600
1.0
FALSE
Race_Ethnicity_Municipality
002
file://\\17852092MHDHL\C$\Users\jrebilas\OneDrive - County of Montgomery, PA\ArcGIS\Projects\Senior_Services_Transportation\Senior_Services_Transportation.gdb
Local Area Network
Projected
GCS_WGS_1984
Linear Unit: Meter (1.000000)
WGS_1984_Web_Mercator_Auxiliary_Sphere
<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/3.2.0'><WKT>PROJCS["WGS_1984_Web_Mercator_Auxiliary_Sphere",GEOGCS["GCS_WGS_1984",DATUM["D_WGS_1984",SPHEROID["WGS_1984",6378137.0,298.257223563]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Mercator_Auxiliary_Sphere"],PARAMETER["False_Easting",0.0],PARAMETER["False_Northing",0.0],PARAMETER["Central_Meridian",0.0],PARAMETER["Standard_Parallel_1",0.0],PARAMETER["Auxiliary_Sphere_Type",0.0],UNIT["Meter",1.0],AUTHORITY["EPSG",3857]]</WKT><XOrigin>-20037700</XOrigin><YOrigin>-30241100</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>102100</WKID><LatestWKID>3857</LatestWKID></ProjectedCoordinateSystem>
CopyFeatures "Municipal Boundaries" "C:\Users\jrebilas\OneDrive - County of Montgomery, PA\ArcGIS\Projects\Senior_Services_Transportation\Senior_Services_Transportation.gdb\MunicipalBoundaries" # # # #
ExportFeatures MunicipalBoundaries "C:\Users\jrebilas\OneDrive - County of Montgomery, PA\ArcGIS\Projects\Senior_Services_Transportation\Senior_Services_Transportation.gdb\Race_Ethnicity_Municipality" # NOT_USE_ALIAS "Name "Name" true true false 30 Text 0 0,First,#,MunicipalBoundaries,MunicipalBoundaries.Name,0,29;Municipal_Number "Municipal_Number" true true false 2 Short 0 0,First,#,MunicipalBoundaries,MunicipalBoundaries.Municipal_Number,-1,-1;PA_County_Code "PA_County_Code" true true false 2 Short 0 0,First,#,MunicipalBoundaries,MunicipalBoundaries.PA_County_Code,-1,-1;PA_Municipal_Code "PA_Municipal_Code" true true false 2 Short 0 0,First,#,MunicipalBoundaries,MunicipalBoundaries.PA_Municipal_Code,-1,-1;FIPS_County_Code "FIPS_County_Code" true true false 2 Short 0 0,First,#,MunicipalBoundaries,MunicipalBoundaries.FIPS_County_Code,-1,-1;FIPS_Municipal_Code "FIPS_Municipal_Code" true true false 4 Long 0 0,First,#,MunicipalBoundaries,MunicipalBoundaries.FIPS_Municipal_Code,-1,-1;Federal_ID_Number "Federal_ID_Number" true true false 20 Text 0 0,First,#,MunicipalBoundaries,MunicipalBoundaries.Federal_ID_Number,0,19;GEOID "GEOID" true true false 12 Text 0 0,First,#,MunicipalBoundaries,MunicipalBoundaries.GEOID,0,11;Municipal_Class "Municipal_Class" true true false 25 Text 0 0,First,#,MunicipalBoundaries,MunicipalBoundaries.Municipal_Class,0,24;Sq_Miles "Sq_Miles" true true false 8 Double 0 0,First,#,MunicipalBoundaries,MunicipalBoundaries.Sq_Miles,-1,-1;Web_URL "Web_URL" true true false 75 Text 0 0,First,#,MunicipalBoundaries,MunicipalBoundaries.Web_URL,0,74;PennDOT_Official_Map "PennDOT_Official_Map" true true false 100 Text 0 0,First,#,MunicipalBoundaries,MunicipalBoundaries.PennDOT_Official_Map,0,99;GlobalID "GlobalID" false false true 38 GlobalID 0 0,First,#,MunicipalBoundaries,MunicipalBoundaries.GlobalID,-1,-1;Shape_Length "Shape_Length" false true true 8 Double 0 0,First,#,MunicipalBoundaries,MunicipalBoundaries.Shape_Length,-1,-1;Shape_Area "Shape_Area" false true true 8 Double 0 0,First,#,MunicipalBoundaries,MunicipalBoundaries.Shape_Area,-1,-1;OBJECTID "OBJECTID" false true false 4 Long 0 9,First,#,MunicipalBoundaries,Race_Ethnicity_ExcelToTable.OBJECTID,-1,-1,MunicipalBoundaries,Race_Ethnicity_ExcelToTable.OBJECTID,-1,-1;Geography "Geography" true true false 255 Text 0 0,First,#,MunicipalBoundaries,Race_Ethnicity_ExcelToTable.Geography,0,254,MunicipalBoundaries,Race_Ethnicity_ExcelToTable.Geography,0,254;Geographic_Area_Name "Geographic Area Name" true true false 255 Text 0 0,First,#,MunicipalBoundaries,Race_Ethnicity_ExcelToTable.Geographic_Area_Name,0,254,MunicipalBoundaries,Race_Ethnicity_ExcelToTable.Geographic_Area_Name,0,254;GEOID "GEOID" true true false 255 Text 0 0,First,#,MunicipalBoundaries,Race_Ethnicity_ExcelToTable.GEOID,0,254,MunicipalBoundaries,Race_Ethnicity_ExcelToTable.GEOID,0,254;Race_Ethnicity "Race/Ethnicity" true true false 255 Text 0 0,First,#,MunicipalBoundaries,Race_Ethnicity_ExcelToTable.Race_Ethnicity,0,254,MunicipalBoundaries,Race_Ethnicity_ExcelToTable.Race_Ethnicity,0,254;Population "Population" true true false 4 Long 0 0,First,#,MunicipalBoundaries,Race_Ethnicity_ExcelToTable.Population,-1,-1,MunicipalBoundaries,Race_Ethnicity_ExcelToTable.Population,-1,-1" #
DeleteField Race_Ethnicity_Municipality OBJECTID;Geography;Geographic_Area_Name;GEOID_1 "Delete Fields"
20240318
10105000
20240318
10105000
Microsoft Windows 10 Version 10.0 (Build 18362) ; Esri ArcGIS 13.2.0.49743
Race_Ethnicity by Municipality
Race
Ethnicity
Race and ethnicity by municipality. 2020 Decennial Census
File Geodatabase Feature Class
dataset
EPSG
6.18.3(9.3.1.2)
0
Simple
FALSE
0
TRUE
FALSE
Race_Ethnicity_Municipality
Feature Class
0
OBJECTID_1
OBJECTID
OID
4
0
0
Internal feature number.
Esri
Sequential unique whole numbers that are automatically generated.
OBJECTID
OBJECTID
Integer
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.
Name
Name
String
30
0
0
Municipal_Number
Municipal_Number
SmallInteger
2
0
0
PA_County_Code
PA_County_Code
SmallInteger
2
0
0
PA_Municipal_Code
PA_Municipal_Code
SmallInteger
2
0
0
FIPS_County_Code
FIPS_County_Code
SmallInteger
2
0
0
FIPS_Municipal_Code
FIPS_Municipal_Code
Integer
4
0
0
Federal_ID_Number
Federal_ID_Number
String
20
0
0
GEOID
GEOID
String
12
0
0
Municipal_Class
Municipal_Class
String
25
0
0
Sq_Miles
Sq_Miles
Double
8
0
0
Web_URL
Web_URL
String
75
0
0
PennDOT_Official_Map
PennDOT_Official_Map
String
100
0
0
GlobalID
GlobalID
GlobalID
38
0
0
Geography
Geography
String
255
0
0
Geographic_Area_Name
Geographic Area Name
String
255
0
0
GEOID_1
GEOID
String
255
0
0
Race_Ethnicity
Race/Ethnicity
String
255
0
0
Population
Population
Integer
4
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.
20240318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