20221011
14182900
1.0
FGDC CSDGM Metadata
FALSE
layer_LA_District_BIPOCGapPrincipalStudent
002
297.141
file://\\PSHENRYC\C$\Users\chenry\OneDrive - American Institutes for Research in the Behavioral Sciences\Documents\ArcGIS\Projects\ILReg9\ILReg9.gdb
Local Area Network
-179.168551
179.748724
-14.548699
71.389610
1
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/3.1.0'><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>
Rename "C:\Users\aconver\Downloads\EDGE\Data\School Districts\TL_2022_SD\schooldistrict_sy2122_tl22\SCHOOLDISTRICT_SY2122_tl22.shp" "C:\Users\aconver\Downloads\EDGE\Data\School Districts\TL_2022_SD\schooldistrict_sy2122_tl22\EDGE_SCHOOLDISTRICT_TL22_SY2122.shp" ShapeFile
Select "H:\share\GIS Methods Group\Region 9 Dashboards\Data\Working Data\Shapefile\EDGE_SCHOOLDISTRICT_TL22_SY2122\EDGE_SCHOOLDISTRICT_TL22_SY2122.shp" "C:\Users\chenry\OneDrive - American Institutes for Research in the Behavioral Sciences\Documents\ArcGIS\Projects\ILReg9\ILReg9.gdb\TEMP" "STATEFP = '17'"
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 NCESID # "Select transfer fields" #
CopyFeatures TEMP "C:\Users\chenry\OneDrive - American Institutes for Research in the Behavioral Sciences\Documents\ArcGIS\Projects\ILReg9\ILReg9.gdb\layer_LA_District_BIPOCGapPrincipalStudent" # # # #
AddField layer_LA_District_BIPOCGapPrincipalStudent type Text # # # # NULLABLE NON_REQUIRED #
CalculateField layer_LA_District_BIPOCGapPrincipalStudent type "PrincipalStudent" "Python 3" # Text NO_ENFORCE_DOMAINS
AlterField layer_LA_District_BIPOCGapPrincipalStudent BIPOCGapPrincipalStudent # "% Absolute Difference" "Double (64-bit floating point)" 8 NULLABLE DO_NOT_CLEAR
20240129
09485400
20240129
09485400
150000000
5000
FGDC
Microsoft Windows 10 Version 10.0 (Build 19045) ; Esri ArcGIS 13.1.2.41833
layer_LA_District_BIPOCGapPrincipalStudent
1
-179.168551
179.748724
71.389610
-14.548699
Updated 1.29.2024
ILReg9
NGDA, National Geospatial Data Asset, Governmental Units and Administrative and Statistical Boundaries Theme, Elementary School District, Secondary School District, Unified School District, School District, Polygon
United States, US
U.S. Department of Commerce, U.S. Census Bureau, Geography Division, Spatial Data Collection and Products Branch
4600 Silver Hill Road, Stop 7400
Washington
DC
20233
geo.geography@census.gov
US
301-763-1128
File Geodatabase Feature Class
TGRSHP (compressed)
PK-ZIP, version 1.93 A or higher
The TIGER/Line shapefiles contain geographic data only and do not include display mapping software or statistical data. For information on how to use the TIGER/Line shapefile data with specific software package users shall contact the company that produced the software.
297.141
Shapefile
https://www.census.gov/geographies/mapping-files/time-series/geo/tiger-line-file.html
The online copy of the TIGER/Line Shapefiles may be accessed without charge
To obtain more information about ordering TIGER/Line Shapefiles visit https://www.census.gov/geographies/mapping-files/time-series/geo/tiger-line-file.html
dataset
EPSG
6.5(3.0.1)
0
Simple
FALSE
0
TRUE
FALSE
layer_LA_District_BIPOCGapPrincipalStudent
Feature Class
0
Current Elementary, Secondary, Unified School, and Administrative School Districts for the United States
U.S. Census Bureau
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
Current state Federal Information Processing Series (FIPS) code
U.S. Census Bureau
National Standard Codes, Federal Information Processing Series
U.S. Census Bureau
ELSDLEA
ELSDLEA
String
5
0
0
Current elementary school district local education agency code
local education agency
00002
99007
SCSDLEA
SCSDLEA
String
5
0
0
Current secondary school district local education agency code
local education agency
00003
99965
UNSDLEA
UNSDLEA
String
5
0
0
Current unified school district local education agency code
local education agency, U.S. Census Bureau
00001
99997
SDADMLEA
SDADMLEA
String
5
0
0
Current administrative school district local education agency code (Vermont only)
local education agency
00007
99956
GEOID
GEOID
String
7
0
0
School district identifier; a concatenation of the current state Federal Information Processing Series (FIPS) code and school district local education agency code.
U.S. Census Bureau
The GEOID attribute is a concatenation of the state FIPS code followed by either the secondary, elementary, or unified school district local education agency code. No spaces are allowed between the two codes. The State FIPS code is taken from "National Standard Codes (ANSI INCITS 38-2009), Federal Information Processing Series (FIPS) - States". The school district local education agency code is taken from the "SCSDLEA" attribute, the "ELSDLEA" attribute, the "UNSDLEA" attribute or "SDADMLEA" attribute.
NAME
NAME
String
100
0
0
Current school district name
local school district
Values for this attribute are composed of a set of school district names. As such, they do not exist in a known, predefined set.
LSAD
LSAD
String
2
0
0
Current legal/statistical area description code for school district
U.S. Census Bureau
00
U.S. Census Bureau
LOGRADE
LOGRADE
String
2
0
0
Current lowest grade covered by school district
local school district
PK
Pre-Kindergarten
local school district
KG
Kindergarten
local school district
06
6th Grade
local school district
07
7th Grade
local school district
09
9th Grade
local school district
HIGRADE
HIGRADE
String
2
0
0
Current highest grade covered by school district
local school district
05
5th Grade
local school district
06
6th Grade
local school district
08
8th Grade
local school district
12
12th Grade
local school district
MTFCC
MTFCC
String
5
0
0
MAF/TIGER feature class code
U.S. Census Bureau
G5400
Elementary School District
U.S. Census Bureau
G5410
Secondary School District
U.S. Census Bureau
G5420
Unified School District
U.S. Census Bureau
G5430
Administrative School District
U.S. Census Bureau
SDTYP
SDTYP
String
1
0
0
Current school district type
U.S. Census Bureau
A
Pseudo
U.S. Census Bureau
B
DoD
U.S. Census Bureau
C
Interstate
U.S. Census Bureau
D
BIA
U.S. Census Bureau
E
Same Name
U.S. Census Bureau
F
Administrative Area
U.S. Census Bureau
FUNCSTAT
FUNCSTAT
String
1
0
0
Current functional status
U.S. Census Bureau
E
Active government providing special-purpose functions
U.S. Census Bureau
F
Fictitious Entity created to fill the Census Bureau geographic hierarchy
U.S. Census Bureau
I
Inactive governmental unit that has the power to provide primary special-purpose functions
U.S. Census Bureau
N
Nonfunctioning legal entity
U.S. Census Bureau
ALAND
ALAND
Double
8
0
0
Current land area (square meters)
U.S. Census Bureau
0
9,999,999,999,999
AWATER
AWATER
Double
8
0
0
Current water area (square meters)
U.S. Census Bureau
0
9,999,999,999,999
INTPTLAT
INTPTLAT
String
11
0
0
Current latitude of the internal point
U.S. Census Bureau
INTPTLON
INTPTLON
String
12
0
0
Current longitude of the internal point
U.S. Census Bureau
GEO_YEAR
GEO_YEAR
String
4
0
0
Current TIGER/Line vintage
U.S. Census Bureau
SCHOOLYEAR
SCHOOLYEAR
String
9
0
0
Current academic year
local education agency, U.S. Census Bureau
ID_new
ID_new
Integer
4
0
0
Field1
Field1
Integer
4
0
0
DistrictRCDTS
DistrictRCDTS
String
8000
0
0
ID_Fix
ID_Fix
String
8000
0
0
NCESID
NCESID
Integer
4
0
0
long
long
Double
8
0
0
lat
lat
Double
8
0
0
name_1
name
String
8000
0
0
StudentBIPOC_p
StudentBIPOC_p
Double
8
0
0
StudentBIPOC_c
StudentBIPOC_c
Integer
4
0
0
Teacher_c
Teacher_c
Integer
4
0
0
TeacherBIPOC_p
TeacherBIPOC_p
Double
8
0
0
TeacherBIPOC_c
TeacherBIPOC_c
Integer
4
0
0
Principals_c
Principals_c
Integer
4
0
0
PrincipalsBIPOC_p
PrincipalsBIPOC_p
Double
8
0
0
PrincipalsBIPOC_c
PrincipalsBIPOC_c
Integer
4
0
0
BIPOCGapTeacherStudent
BIPOCGapTeacherStudent
Double
8
0
0
BIPOCParityTeacherStudent
BIPOCParityTeacherStudent
Double
8
0
0
BIPOCGapPrincipalStudent
BIPOCGapPrincipalStudent
Double
8
0
0
BIPOCParityPrincipalStudent
BIPOCParityPrincipalStudent
Double
8
0
0
BIPOCGapPrincipalTeacher
BIPOCGapPrincipalTeacher
Double
8
0
0
BIPOCParityPrincipalTeacher
BIPOCParityPrincipalTeacher
Double
8
0
0
DistrictType
DistrictType
String
8000
0
0
UnfilledTeachingPostions_c
UnfilledTeachingPostions_c
Double
8
0
0
FilledTeachingPostions_c
FilledTeachingPostions_c
Double
8
0
0
VacancyRateper100students
VacancyRateper100students
Double
8
0
0
FundingLevel
FundingLevel
Integer
4
0
0
LowIncomeStudents_p
LowIncomeStudents_p
Double
8
0
0
Turnover_c
Turnover_c
Integer
4
0
0
TurnoverRate
TurnoverRate
Double
8
0
0
Retention_c
Retention_c
Integer
4
0
0
RetentionRate
RetentionRate
Double
8
0
0
principalBipoc_total
principalBipoc_total
Double
8
0
0
studentBipoc_total
studentBipoc_total
Double
8
0
0
teacherBipoc_total
teacherBipoc_total
Double
8
0
0
StudentBIPOC_pforslider
StudentBIPOC_pforslider
Double
8
0
0
VacancyRateforslider
VacancyRateforslider
Double
8
0
0
TurnoverRateforslider
TurnoverRateforslider
Double
8
0
0
RetentionRateforslider
RetentionRateforslider
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.
20240129
No warranty, expressed or implied is made with regard to the accuracy of these data, and no liability is assumed by the U.S. Government in general or the U.S. Census Bureau in specific as to the spatial or attribute accuracy of the data. The act of distribution shall not constitute any such warranty and no responsibility is assumed by the U.S. government in the use of these files. The boundary information in the TIGER/Line Shapefiles is for statistical data collection and tabulation purposes only; their depiction and designation for statistical purposes do not constitute a determination of jurisdictional authority or rights of ownership or entitlement and they are not legal land descriptions.
<DIV STYLE="text-align:Left;"><P STYLE="font-size:16ptmargin:7 0 7 0;"><SPAN><SPAN>The TIGER/Line Shapefile products are not copyrighted however TIGER/Line and Census TIGER are registered trademarks of the U.S. Census Bureau. These products are free to use in a product or publication, however acknowledgement must be given to the U.S. Census Bureau as the source. The boundary information in the TIGER/Line Shapefiles are for statistical data collection and tabulation purposes only; their depiction and designation for statistical purposes does not constitute a determination of jurisdictional authority or rights of ownership or entitlement and they are not legal land descriptions. Coordinates in the TIGER/Line shapefiles have six implied decimal places, but the positional accuracy of these coordinates is not as great as the six decimal places suggest.</SPAN></SPAN></P><DIV><P><SPAN /></P></DIV></DIV>
TIGER/Line Shapefiles are extracted from the Census MAF/TIGER database by nation, state, county, and entity. Census MAF/TIGER data for all of the aforementioned geographic entities are then distributed among the shapefiles each containing attributes for line, polygon, or landmark geographic data.
Census MAF/TIGER database
MAF/TIGER
The Census Bureau performed automated tests to ensure logical consistency and limits of shapefiles. Segments making up the outer and inner boundaries of a polygon tie end-to-end to completely enclose the area. All polygons are tested for closure. The Census Bureau uses its internally developed geographic update system to enhance and modify spatial and attribute data in the Census MAF/TIGER database. Standard geographic codes, such as FIPS codes for states, counties, municipalities, county subdivisions, places, American Indian/Alaska Native/Native Hawaiian areas, and congressional districts are used when encoding spatial entities. The Census Bureau performed spatial data tests for logical consistency of the codes during the compilation of the original Census MAF/TIGER database files. Most of the codes for geographic entities except states, counties, urban areas, Core Based Statistical Areas (CBSAs), American Indian Areas (AIAs), and congressional districts were provided to the Census Bureau by the USGS, the agency responsible for maintaining the Geographic Names Information System (GNIS). Feature attribute information has been examined but has not been fully tested for consistency. For the TIGER/Line Shapefiles, the Point and Vector Object Count for the G-polygon SDTS Point and Vector Object Type reflects the number of records in the shapefile attribute table. For multi-polygon features, only one attribute record exists for each multi-polygon rather than one attribute record per individual G-polygon component of the multi-polygon feature. TIGER/Line Shapefile multi-polygons are an exception to the G-polygon object type classification. Therefore, when multi-polygons exist in a shapefile, the object count will be less than the actual number of G-polygons.
Data completeness of the TIGER/Line Shapefiles reflects the contents of the Census MAF/TIGER database at the time the TIGER/Line Shapefiles were created.
TIGER/Line Shapefiles are extracted from the Census MAF/TIGER database by nation, state, county, and entity. Census MAF/TIGER data for all of the aforementioned geographic entities are then distributed among the shapefiles each containing attributes for line, polygon, or landmark geographic data.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