20250609
16371100
1.0
FALSE
ETL_no_comp_pct
002
file://\\DESKTOP-U5L8MMI\C$\Users\mecoffee\OneDrive - AIR\Documents\ArcGIS\Projects\East Texas Literacy\East Texas Literacy.gdb
Local Area Network
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/3.4.0'><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>8.983152841195215e-09</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><LeftLongitude>-180</LeftLongitude><WKID>4269</WKID><LatestWKID>4269</LatestWKID></GeographicCoordinateSystem>
ExportFeatures tl_2024_us_county "C:\Users\mecoffee\OneDrive - AIR\Documents\ArcGIS\Projects\East Texas Literacy\East Texas Literacy.gdb\banana_pct" # NOT_USE_ALIAS "STATEFP "STATEFP" true true false 2 Text 0 0,First,#,tl_2024_us_county,STATEFP,0,1;COUNTYFP "COUNTYFP" true true false 3 Text 0 0,First,#,tl_2024_us_county,COUNTYFP,0,2;COUNTYNS "COUNTYNS" true true false 8 Text 0 0,First,#,tl_2024_us_county,COUNTYNS,0,7;GEOID "GEOID" true true false 5 Text 0 0,First,#,tl_2024_us_county,GEOID,0,4;GEOIDFQ "GEOIDFQ" true true false 14 Text 0 0,First,#,tl_2024_us_county,GEOIDFQ,0,13;NAME "NAME" true true false 100 Text 0 0,First,#,tl_2024_us_county,NAME,0,99;NAMELSAD "NAMELSAD" true true false 100 Text 0 0,First,#,tl_2024_us_county,NAMELSAD,0,99;LSAD "LSAD" true true false 2 Text 0 0,First,#,tl_2024_us_county,LSAD,0,1;CLASSFP "CLASSFP" true true false 2 Text 0 0,First,#,tl_2024_us_county,CLASSFP,0,1;MTFCC "MTFCC" true true false 5 Text 0 0,First,#,tl_2024_us_county,MTFCC,0,4;CSAFP "CSAFP" true true false 3 Text 0 0,First,#,tl_2024_us_county,CSAFP,0,2;CBSAFP "CBSAFP" true true false 5 Text 0 0,First,#,tl_2024_us_county,CBSAFP,0,4;METDIVFP "METDIVFP" true true false 5 Text 0 0,First,#,tl_2024_us_county,METDIVFP,0,4;FUNCSTAT "FUNCSTAT" true true false 1 Text 0 0,First,#,tl_2024_us_county,FUNCSTAT,0,0;ALAND "ALAND" true true false 14 Double 0 14,First,#,tl_2024_us_county,ALAND,-1,-1;AWATER "AWATER" true true false 14 Double 0 14,First,#,tl_2024_us_county,AWATER,-1,-1;INTPTLAT "INTPTLAT" true true false 11 Text 0 0,First,#,tl_2024_us_county,INTPTLAT,0,10;INTPTLON "INTPTLON" true true false 12 Text 0 0,First,#,tl_2024_us_county,INTPTLON,0,11" #
ExportFeatures banana_pct "C:\Users\mecoffee\OneDrive - AIR\Documents\ArcGIS\Projects\East Texas Literacy\East Texas Literacy.gdb\ETL_no_comp_pct" # NOT_USE_ALIAS "STATEFP "STATEFP" true true false 2 Text 0 0,First,#,banana_pct,banana_pct.STATEFP,0,1;COUNTYFP "COUNTYFP" true true false 3 Text 0 0,First,#,banana_pct,banana_pct.COUNTYFP,0,2;COUNTYNS "COUNTYNS" true true false 8 Text 0 0,First,#,banana_pct,banana_pct.COUNTYNS,0,7;GEOID "GEOID" true true false 5 Text 0 0,First,#,banana_pct,banana_pct.GEOID,0,4;GEOIDFQ "GEOIDFQ" true true false 14 Text 0 0,First,#,banana_pct,banana_pct.GEOIDFQ,0,13;NAME "NAME" true true false 100 Text 0 0,First,#,banana_pct,banana_pct.NAME,0,99;NAMELSAD "NAMELSAD" true true false 100 Text 0 0,First,#,banana_pct,banana_pct.NAMELSAD,0,99;LSAD "LSAD" true true false 2 Text 0 0,First,#,banana_pct,banana_pct.LSAD,0,1;CLASSFP "CLASSFP" true true false 2 Text 0 0,First,#,banana_pct,banana_pct.CLASSFP,0,1;MTFCC "MTFCC" true true false 5 Text 0 0,First,#,banana_pct,banana_pct.MTFCC,0,4;CSAFP "CSAFP" true true false 3 Text 0 0,First,#,banana_pct,banana_pct.CSAFP,0,2;CBSAFP "CBSAFP" true true false 5 Text 0 0,First,#,banana_pct,banana_pct.CBSAFP,0,4;METDIVFP "METDIVFP" true true false 5 Text 0 0,First,#,banana_pct,banana_pct.METDIVFP,0,4;FUNCSTAT "FUNCSTAT" true true false 1 Text 0 0,First,#,banana_pct,banana_pct.FUNCSTAT,0,0;ALAND "ALAND" true true false 8 Double 0 0,First,#,banana_pct,banana_pct.ALAND,-1,-1;AWATER "AWATER" true true false 8 Double 0 0,First,#,banana_pct,banana_pct.AWATER,-1,-1;INTPTLAT "INTPTLAT" true true false 11 Text 0 0,First,#,banana_pct,banana_pct.INTPTLAT,0,10;INTPTLON "INTPTLON" true true false 12 Text 0 0,First,#,banana_pct,banana_pct.INTPTLON,0,11;Shape_Length "Shape_Length" false true true 8 Double 0 0,First,#,banana_pct,banana_pct.Shape_Length,-1,-1;Shape_Area "Shape_Area" false true true 8 Double 0 0,First,#,banana_pct,banana_pct.Shape_Area,-1,-1;OBJECTID "ObjectID" false true false 4 Long 0 9,First,#,banana_pct,banana_pct_ExportTable.OBJECTID,-1,-1;GEOID "GEOID" true true false 255 Text 0 0,First,#,banana_pct,banana_pct_ExportTable.GEOID,0,254;County_Name "County_Name" true true false 255 Text 0 0,First,#,banana_pct,banana_pct_ExportTable.County_Name,0,254;variable "variable" true true false 255 Text 0 0,First,#,banana_pct,banana_pct_ExportTable.variable,0,254;estimate "estimate" true true false 8 Double 0 0,First,#,banana_pct,banana_pct_ExportTable.estimate,-1,-1;moe "moe" true true false 255 Text 0 0,First,#,banana_pct,banana_pct_ExportTable.moe,0,254;variable_name "variable_name" true true false 255 Text 0 0,First,#,banana_pct,banana_pct_ExportTable.variable_name,0,254;total_households "total_households" true true false 8 Double 0 0,First,#,banana_pct,banana_pct_ExportTable.total_households,-1,-1;Geo_Level "Geo_Level" true true false 255 Text 0 0,First,#,banana_pct,banana_pct_ExportTable.Geo_Level,0,254;estimate_type "estimate_type" true true false 255 Text 0 0,First,#,banana_pct,banana_pct_ExportTable.estimate_type,0,254;F10 "F10" true true false 8 Double 0 0,First,#,banana_pct,banana_pct_ExportTable.F10,-1,-1" #
DeleteField ETL_no_comp_pct F10 DELETE_FIELDS
20250609
16381000
20250609
16381000
Microsoft Windows 10 Version 10.0 (Build 19045) ; Esri ArcGIS 13.4.0.55405
ETL_no_comp_pct
ETL
6.10.2025
File Geodatabase Feature Class
dataset
EPSG
6.5(3.0.1)
0
Simple
FALSE
0
TRUE
FALSE
ETL_no_comp_pct
Feature Class
0
OBJECTID
OBJECTID
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.
STATEFP
STATEFP
String
2
0
0
COUNTYFP
COUNTYFP
String
3
0
0
COUNTYNS
COUNTYNS
String
8
0
0
GEOID
GEOID
String
5
0
0
GEOIDFQ
GEOIDFQ
String
14
0
0
NAME
NAME
String
100
0
0
NAMELSAD
NAMELSAD
String
100
0
0
LSAD
LSAD
String
2
0
0
CLASSFP
CLASSFP
String
2
0
0
MTFCC
MTFCC
String
5
0
0
CSAFP
CSAFP
String
3
0
0
CBSAFP
CBSAFP
String
5
0
0
METDIVFP
METDIVFP
String
5
0
0
FUNCSTAT
FUNCSTAT
String
1
0
0
ALAND
ALAND
Double
8
0
0
AWATER
AWATER
Double
8
0
0
INTPTLAT
INTPTLAT
String
11
0
0
INTPTLON
INTPTLON
String
12
0
0
OBJECTID_1
ObjectID
Integer
4
0
0
GEOID_1
GEOID
String
255
0
0
County_Name
County_Name
String
255
0
0
variable
variable
String
255
0
0
estimate
estimate
Double
8
0
0
moe
moe
String
255
0
0
variable_name
variable_name
String
255
0
0
total_households
total_households
Double
8
0
0
Geo_Level
Geo_Level
String
255
0
0
estimate_type
estimate_type
String
255
0
0
F10
F10
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.
20250609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