20230601
16582600
1.0
FALSE
layer_LA_District_bipoc_parity
002
file://\\PSHENRYC\C$\Users\chenry\OneDrive - American Institutes for Research in the Behavioral Sciences\Documents\ArcGIS\Projects\GTL LA\GTL LA.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/3.0.0'><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>
Select "\\dc1fs\dc1ehd\share\GIS Methods Group\GTL\Shapefiles\tl_2021_22_unsd.shp" "C:\Users\chenry\OneDrive - American Institutes for Research in the Behavioral Sciences\Documents\ArcGIS\Projects\GTL LA\GTL LA.gdb\TEMP" #
AddField TEMP ID_new "Long (32-bit integer)" # # # # NULLABLE NON_REQUIRED #
CalculateField TEMP ID_new !GEOID! "Python 3" # Text NO_ENFORCE_DOMAINS
JoinField TEMP ID_new Table_District_Data geoID # "Select transfer fields" #
CopyFeatures TEMP "C:\Users\chenry\OneDrive - American Institutes for Research in the Behavioral Sciences\Documents\ArcGIS\Projects\GTL LA\GTL LA.gdb\layer_LA_District_bipoc_parity" # # # #
AddField layer_LA_District_bipoc_parity sym "Double (64-bit floating point)" # # # # NULLABLE NON_REQUIRED #
CalculateField layer_LA_District_bipoc_parity sym !bipoc_parity! "Python 3" # Text NO_ENFORCE_DOMAINS
AlterField layer_LA_District_bipoc_parity sym # "# of BIPOC Students / # of BIPOC Teachers" "Double (64-bit floating point)" 8 NULLABLE DO_NOT_CLEAR
AddField layer_LA_District_bipoc_parity type Text # # # # NULLABLE NON_REQUIRED #
CalculateField layer_LA_District_bipoc_parity type "bipoc_parity" "Python 3" # Text NO_ENFORCE_DOMAINS
20230601
16594000
20230601
16594000
Microsoft Windows 10 Version 10.0 (Build 19045) ; Esri ArcGIS 13.0.0.36056
layer_LA_District_bipoc_parity_09192022
LATS2
LATS2 (updated 06/02/2023)
File Geodatabase Feature Class
dataset
EPSG
6.5(3.0.1)
0
Simple
FALSE
0
TRUE
FALSE
layer_LA_District_bipoc_parity
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
UNSDLEA
UNSDLEA
String
5
0
0
GEOID
GEOID
String
7
0
0
NAME
NAME
String
100
0
0
LSAD
LSAD
String
2
0
0
LOGRADE
LOGRADE
String
2
0
0
HIGRADE
HIGRADE
String
2
0
0
MTFCC
MTFCC
String
5
0
0
SDTYP
SDTYP
String
1
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
ID_new
ID_new
Integer
4
0
0
Field1
Field1
Integer
4
0
0
School_System
School System
String
8000
0
0
stu_curr_total_rec
stu_curr_total_rec
Double
8
0
0
AmInd
AmInd
Double
8
0
0
Asian
Asian
Double
8
0
0
Black
Black
Double
8
0
0
Hispanic
Hispanic
Double
8
0
0
HawPI
HawPI
Double
8
0
0
White
White
Double
8
0
0
Multiple
Multiple
Double
8
0
0
st_bipoc_c
st_bipoc_c
Double
8
0
0
frpl
frpl
Double
8
0
0
stu_curr_total
stu_curr_total
Double
8
0
0
stu_curr_total_vac
stu_curr_total_vac
Double
8
0
0
stu_prev_total
stu_prev_total
Double
8
0
0
num_2015
num_2015
Double
8
0
0
tot_2015
tot_2015
Double
8
0
0
tot_2020
tot_2020
Double
8
0
0
num_2020
num_2020
Double
8
0
0
SponsorName
SponsorName
String
8000
0
0
Total
Total
Double
8
0
0
tr_bipoc_c
tr_bipoc_c
Double
8
0
0
Vacant
Vacant
Double
8
0
0
geoID_1
geoID
Double
8
0
0
mhi
mhi
Integer
4
0
0
hcost
hcost
Integer
4
0
0
st_bipoc
st_bipoc
Double
8
0
0
stte_ratio
stte_ratio
Integer
4
0
0
salary
salary
Integer
4
0
0
to_rate
to_rate
Double
8
0
0
to_rate_prev
to_rate_prev
Double
8
0
0
to_rate_5diff
to_rate_5diff
Double
8
0
0
vac_rate
vac_rate
Double
8
0
0
ret_rate
ret_rate
Double
8
0
0
tr_bipoc_per
tr_bipoc_per
Double
8
0
0
bipoc_gap
bipoc_gap
Double
8
0
0
bipoc_parity
bipoc_parity
Double
8
0
0
overLap
overLap
Integer
4
0
0
raeth_AmI
raeth_AmI
Double
8
0
0
raeth_Asi
raeth_Asi
Double
8
0
0
raeth_Bla
raeth_Bla
Double
8
0
0
raeth_His
raeth_His
Double
8
0
0
raeth_Haw
raeth_Haw
Double
8
0
0
raeth_Mul
raeth_Mul
Double
8
0
0
st_bipoc_slide
st_bipoc_slide
Double
8
0
0
frpl_slide
frpl_slide
Double
8
0
0
stte_ratio_slide
stte_ratio_slide
Double
8
0
0
salary_slide
salary_slide
Double
8
0
0
to_rate_slide
to_rate_slide
Double
8
0
0
to_rate_5diff_slide
to_rate_5diff_slide
Double
8
0
0
vac_rate_slide
vac_rate_slide
Double
8
0
0
ret_rate_slide
ret_rate_slide
Double
8
0
0
tr_bipoc_c_slide
tr_bipoc_c_slide
Double
8
0
0
tr_bipoc_per_slide
tr_bipoc_per_slide
Double
8
0
0
bipoc_gap_slide
bipoc_gap_slide
Double
8
0
0
bipoc_parity_slide
bipoc_parity_slide
Double
8
0
0
mhi_slide
mhi_slide
Double
8
0
0
hcost_slide
hcost_slide
Double
8
0
0
raeth_AmI_slide
raeth_AmI_slide
Double
8
0
0
raeth_Asi_slide
raeth_Asi_slide
Double
8
0
0
raeth_Bla_slide
raeth_Bla_slide
Double
8
0
0
raeth_His_slide
raeth_His_slide
Double
8
0
0
raeth_Haw_slide
raeth_Haw_slide
Double
8
0
0
raeth_Mul_slide
raeth_Mul_slide
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.
20230601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==