20210927
11475100
1.0
FGDC CSDGM Metadata
FALSE
schooldistrict_ExportFeature
294.580
file://\\DESKTOP-7A98O3N\C$\Users\abloomfield\OneDrive - American Institutes for Research in the Behavioral Sciences\Documents\ArcGIS\DSEC\DSEC_28Dec2022\DSEC_28Dec2022.gdb
Local Area Network
-179.168551
179.748724
-14.548699
71.389610
1
002
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>
CalculateField schooldistrict_sy2021_tl21 GEOID_match ""US" + !GEOID!" "Python 3" # Text NO_ENFORCE_DOMAINS
ExportFeatures schooldistrict_sy2021_tl21 "C:\Users\abloomfield\OneDrive - American Institutes for Research in the Behavioral Sciences\Documents\ArcGIS\DSEC\DSEC_28Dec2022\DSEC_28Dec2022.gdb\schooldistrict_ExportFeature" # NOT_USE_ALIAS "STATEFP "STATEFP" true true false 2 Text 0 0,First,#,schooldistrict_sy2021_tl21,schooldistrict_sy2021_tl21.STATEFP,0,2;ELSDLEA "ELSDLEA" true true false 5 Text 0 0,First,#,schooldistrict_sy2021_tl21,schooldistrict_sy2021_tl21.ELSDLEA,0,5;SCSDLEA "SCSDLEA" true true false 5 Text 0 0,First,#,schooldistrict_sy2021_tl21,schooldistrict_sy2021_tl21.SCSDLEA,0,5;UNSDLEA "UNSDLEA" true true false 5 Text 0 0,First,#,schooldistrict_sy2021_tl21,schooldistrict_sy2021_tl21.UNSDLEA,0,5;GEOID "GEOID" true true false 7 Text 0 0,First,#,schooldistrict_sy2021_tl21,schooldistrict_sy2021_tl21.GEOID,0,7;NAME "NAME" true true false 100 Text 0 0,First,#,schooldistrict_sy2021_tl21,schooldistrict_sy2021_tl21.NAME,0,100;LSAD "LSAD" true true false 2 Text 0 0,First,#,schooldistrict_sy2021_tl21,schooldistrict_sy2021_tl21.LSAD,0,2;LOGRADE "LOGRADE" true true false 2 Text 0 0,First,#,schooldistrict_sy2021_tl21,schooldistrict_sy2021_tl21.LOGRADE,0,2;HIGRADE "HIGRADE" true true false 2 Text 0 0,First,#,schooldistrict_sy2021_tl21,schooldistrict_sy2021_tl21.HIGRADE,0,2;MTFCC "MTFCC" true true false 5 Text 0 0,First,#,schooldistrict_sy2021_tl21,schooldistrict_sy2021_tl21.MTFCC,0,5;SDTYP "SDTYP" true true false 1 Text 0 0,First,#,schooldistrict_sy2021_tl21,schooldistrict_sy2021_tl21.SDTYP,0,1;FUNCSTAT "FUNCSTAT" true true false 1 Text 0 0,First,#,schooldistrict_sy2021_tl21,schooldistrict_sy2021_tl21.FUNCSTAT,0,1;ALAND "ALAND" true true false 19 Double 0 0,First,#,schooldistrict_sy2021_tl21,schooldistrict_sy2021_tl21.ALAND,-1,-1;AWATER "AWATER" true true false 19 Double 0 0,First,#,schooldistrict_sy2021_tl21,schooldistrict_sy2021_tl21.AWATER,-1,-1;INTPTLAT "INTPTLAT" true true false 11 Text 0 0,First,#,schooldistrict_sy2021_tl21,schooldistrict_sy2021_tl21.INTPTLAT,0,11;INTPTLON "INTPTLON" true true false 12 Text 0 0,First,#,schooldistrict_sy2021_tl21,schooldistrict_sy2021_tl21.INTPTLON,0,12;GEO_YEAR "GEO_YEAR" true true false 4 Text 0 0,First,#,schooldistrict_sy2021_tl21,schooldistrict_sy2021_tl21.GEO_YEAR,0,4;SCHOOLYEAR "SCHOOLYEAR" true true false 9 Text 0 0,First,#,schooldistrict_sy2021_tl21,schooldistrict_sy2021_tl21.SCHOOLYEAR,0,9;GEOID_matc "GEOID_matc" true true false 254 Text 0 0,First,#,schooldistrict_sy2021_tl21,schooldistrict_sy2021_tl21.GEOID_matc,0,254;GeoId "GeoId" true true false 8000 Text 0 0,First,#,schooldistrict_sy2021_tl21,DP03.8_001_USSchoolDistrictAll_povertyc.csv.GeoId,0,8000;match_geoID "match_geoID" true true false 8000 Text 0 0,First,#,schooldistrict_sy2021_tl21,DP03.8_001_USSchoolDistrictAll_povertyc.csv.match_geoID,0,8000;Geography "Geography" true true false 8000 Text 0 0,First,#,schooldistrict_sy2021_tl21,DP03.8_001_USSchoolDistrictAll_povertyc.csv.Geography,0,8000;LEAID "LEAID" true true false 4 Long 0 0,First,#,schooldistrict_sy2021_tl21,DP03.8_001_USSchoolDistrictAll_povertyc.csv.LEAID,-1,-1;Year "Year" true true false 8000 Text 0 0,First,#,schooldistrict_sy2021_tl21,DP03.8_001_USSchoolDistrictAll_povertyc.csv.Year,0,8000;DP03_119pct: Percent; Estimate; PERCENTAGE OF FAMILIES AND PEOPLE WHOSE INCOME IN THE PAST 12 MONTHS IS BELOW THE POVERTY LEVEL; All families "DP03_119pct: Percent; Estimate; PERCENTAGE OF FAMILIES AND PEOPLE WHOSE INCOME IN THE PAST 12 MONTHS IS BELOW THE POVERTY LEVEL; All families" true true false 8 Double 0 0,First,#,schooldistrict_sy2021_tl21,DP03.8_001_USSchoolDistrictAll_povertyc.csv.DP03_119pct: Percent; Estimate; PERCENTAGE OF FAMILIES AND PEOPLE WHOSE INCOME IN THE PAST 12 MONTHS IS BELOW THE POVERTY LEVEL; All families,-1,-1" #
20230203
09213400
20230203
09213400
150000000
5000
FGDC
ArcGIS Metadata
1.0
schooldistrict_ExportFeature
Feature Class
0
Current Elementary, Secondary, and Unified 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
Feature geometry.
Esri
Coordinates defining the features.
Shape
Geometry
0
0
0
STATEFP
STATEFP
Current state Federal Information Processing Series (FIPS) code
U.S. Census Bureau
National Standard Codes, Federal Information Processing Series
U.S. Census Bureau
String
2
0
0
ELSDLEA
ELSDLEA
Current elementary school district local education agency code
local education agency
00002
99924
String
5
0
0
SCSDLEA
SCSDLEA
Current secondary school district local education agency code
local education agency
00003
99965
String
5
0
0
UNSDLEA
UNSDLEA
Current unified school district local education agency code
local education agency, U.S. Census Bureau
00001
99997
String
5
0
0
GEOID
GEOID
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, or the "UNSDLEA" attribute.
String
7
0
0
NAME
NAME
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.
String
100
0
0
LSAD
LSAD
Current legal/statistical area description code for school district
U.S. Census Bureau
00
U.S. Census Bureau
String
2
0
0
LOGRADE
LOGRADE
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
String
2
0
0
HIGRADE
HIGRADE
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
String
2
0
0
MTFCC
MTFCC
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
String
5
0
0
SDTYP
SDTYP
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
String
1
0
0
FUNCSTAT
FUNCSTAT
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
String
1
0
0
ALAND
ALAND
Current land area (square meters)
U.S. Census Bureau
14
0
9,999,999,999,999
Double
14
0
AWATER
AWATER
Current water area (square meters)
U.S. Census Bureau
14
0
9,999,999,999,999
Double
14
0
INTPTLAT
INTPTLAT
Current latitude of the internal point
U.S. Census Bureau
String
11
0
0
INTPTLON
INTPTLON
Current longitude of the internal point
U.S. Census Bureau
String
12
0
0
GEO_YEAR
GEO_YEAR
Current TIGER/Line vintage
U.S. Census Bureau
String
4
0
0
SCHOOLYEAR
SCHOOLYEAR
Current academic year
local education agency, U.S. Census Bureau
String
9
0
0
GEOID_matc
GEOID_matc
String
254
0
0
GeoId_1
GeoId
String
8000
0
0
match_geoID
match_geoID
String
8000
0
0
Geography
Geography
String
8000
0
0
LEAID
LEAID
Integer
4
0
0
Year
Year
String
8000
0
0
DP03_119pct__Percent__Estimate__PERCENTAGE_OF_FAMILIES_AND_PEOPL
DP03_119pct: Percent; Estimate; PERCENTAGE OF FAMILIES AND PEOPLE WHOSE INCOME IN THE PAST 12 MONTHS IS BELOW THE POVERTY LEVEL; All families
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.
Microsoft Windows 10 Version 10.0 (Build 19043) ; Esri ArcGIS 13.0.3.36057
Poverty
vector digital data
1
-179.168551
179.748724
71.389610
-14.548699
This composite file contains elementary, secondary, and unified school district boundaries from the 2020-2021 academic year collected for the National Center for Education Statistics by the U.S. Census Bureau and reported in TIGER/Line 2021.
<DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN><SPAN>The National Center for Education Statistics’ (NCES) Education Demographic and Geographic Estimate (EDGE) program develops annually updated school district boundary composite files that include public elementary, secondary, and unified school district boundaries clipped to the U.S. shoreline. School districts are single-purpose administrative units designed by state and local officials to organize and provide public education for local residents. District boundaries are collected for NCES by the U.S. Census Bureau to support educational research and program administration, and the boundaries are essential for constructing district-level estimates of the number of children in poverty. </SPAN></SPAN></P><P><SPAN><SPAN>The Census Bureau’s School District Boundary Review program (SDBR) (</SPAN></SPAN><A href="https://www.census.gov/programs-surveys/sdrp.html"><SPAN><SPAN>https://www.census.gov/programs-surveys/sdrp.html</SPAN></SPAN></A><SPAN>) obtains the boundaries, names, and grade ranges from state officials, and integrates these updates into Census TIGER. Census TIGER boundaries include legal maritime buffers for coastal areas by default, but the NCES composite file removes these buffers to facilitate broader use and cleaner cartographic representation. The NCES EDGE program collaborates with the U.S. Census Bureau’s Education Demographic, Geographic, and Economic Statistics (EDGE) Branch to develop the composite school district files. The inputs for this data layer were developed from Census TIGER/Line 2021 and represent boundaries reported for the 2020-2021 school year. For more information about NCES school district boundary data, see </SPAN><A href="https://nces.ed.gov/programs/edge/Geographic/DistrictBoundaries"><SPAN><SPAN>https://nces.ed.gov/programs/edge/Geographic/DistrictBoundaries</SPAN></SPAN></A><SPAN><SPAN>. </SPAN></SPAN></P></DIV></DIV></DIV>
Elementary School District
Secondary School District
Unified School District
National Geospatial Data Asset
United States
School District
Boundaries
NGDA
U.S.
Polygon
United States, US
NGDA Portfolio Themes
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
Boundaries
<DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>All information contained in this file is in the public domain. Data users are advised to review NCES program documentation and feature class metadata to understand the limitations and appropriate use of these data.</SPAN></P></DIV></DIV></DIV>, <DIV STYLE="text-align:Left;"><DIV><P><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></P></DIV></DIV>
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;"><DIV><DIV><P><SPAN>All information contained in this file is in the public domain. Data users are advised to review NCES program documentation and feature class metadata to understand the limitations and appropriate use of these data.</SPAN></P></DIV></DIV></DIV>, <DIV STYLE="text-align:Left;"><DIV><P><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></P></DIV></DIV>
File Geodatabase Feature Class
294.580
https://www.census.gov/geographies/mapping-files/time-series/geo/tiger-line-file.html
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
U.S. Department of Commerce, U.S. Census Bureau, Geography Division, Spatial Data Collection and Products Branch
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
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.
dataset
EPSG
6.5(3.0.1)
0
Simple
FALSE
0
TRUE
FALSE
20230203
Douglas Geverdt
National Center for Education Statistics
550 12th Street, SW, #4038
Washington
DC
20202
Douglas.Geverdt@ed.gov
US
(202) 245-8230
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
Federal Information Processing Series (FIPS), Geographic Names Information System (GNIS), and feature names.
0
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.
All line segments
Census MAF/TIGER database
MAF/TIGER
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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