20221108
16480300
1.0
FALSE
Education_School_District_Master
002
-2175729.731600
1493083.620700
404545.107900
2383808.435200
1
Projected
GCS_North_American_1983
Linear Unit: Meter (1.000000)
NAD_1983_Alaska_Albers
<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/10.8'><WKT>PROJCS["NAD_1983_Alaska_Albers",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]],PROJECTION["Albers"],PARAMETER["False_Easting",0.0],PARAMETER["False_Northing",0.0],PARAMETER["Central_Meridian",-154.0],PARAMETER["Standard_Parallel_1",55.0],PARAMETER["Standard_Parallel_2",65.0],PARAMETER["Latitude_Of_Origin",50.0],UNIT["Meter",1.0],AUTHORITY["EPSG",3338]]</WKT><XOrigin>-13752200</XOrigin><YOrigin>-8948200</YOrigin><XYScale>10000</XYScale><ZOrigin>0</ZOrigin><ZScale>1</ZScale><MOrigin>0</MOrigin><MScale>1</MScale><XYTolerance>0.001</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><WKID>102006</WKID><LatestWKID>3338</LatestWKID></ProjectedCoordinateSystem>
50000000
50000
ItemDescription
20221115
14493300
20221115
14493300
Alaska school district boundaries and addresses. Replacing former School District geometries (as of Nov 3, 2022). Each school district boundary (geometry, not attributes) is derived from one of three sources: Borough and Census Area Boundaries, Regional Educational Attendance Area Boundaries, and City Boundaries.
<DIV STYLE="text-align:Left;"><P STYLE="margin:0 0 0 0;"><SPAN>Alaska school district boundaries and addresses. Replacing former School District geometries (as of Nov 3, 2022). Each school district boundary (geometry, not attributes) is derived from one of three sources. </SPAN></P><DIV><P><SPAN>1. Borough and Census Area Boundaries (as a proxy for school districts in the organized borough). </SPAN><SPAN>https://dcra-cdo-dcced.opendata.arcgis.com/datasets/DCCED::alaska-borough-and-census-area-boundaries/about</SPAN></P><P><SPAN>2. Regional Educational Attendance Area Boundaries (school districts in the unorganized borough). A Regional Educational Attendance Area (REAA) is an educational area that is established in an unorganized borough of the state established by AS 14.08.031(a). REAA elections administered by the Division of Elections. This dataset is revised for recasting of REAA sections using 2020 Census data. The 2020 version is the first time REAA boundaries were fully created using Geographic Information System (GIS) technology. Revised for the 2022 move of the city of Rampart from Yukon Flats to Yukon-Koyukuk. </SPAN></P><P><SPAN>3. City Boundaries - Boundaries are based on the actual certificates issued by the Local Boundary Commission. https://dcra-cdo-dcced.opendata.arcgis.com/datasets/DCCED::city-boundaries/about</SPAN></P><P><SPAN>For more information, see https://education.alaska.gov/DOE_Rolodex/SchoolCalendar/DistrictAndSchoolInfo/DistrictDetails</SPAN></P></DIV></DIV>
DEED, DCRA, Education, Schools, SOA, Department of Education & Early Development,
GISP.GIS_OWNER_CDO.Education_School_District_Master
DEED
DCRA
Education
Schools
SOA
Department of Education & Early Development
REAA
Regional Education Attendance Areas
-176.634670
-130.025533
71.300272
51.874538
1
<DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN STYLE="font-weight:bold;"><SPAN>DISCLAIMER:</SPAN></SPAN><SPAN><SPAN> The Division of Community and Regional Affairs (DCRA) provides the Community Database Online (CDO) as a source of information to aid in advising and assisting local governments, including for research purposes. DCRA is not a referral agency and cannot make specific recommendations or endorsements. Links to other agencies and related organizations are provided as a service, and do not constitute endorsement or recommendations for the agencies/organizations or websites. </SPAN></SPAN></P><P><SPAN><SPAN> </SPAN></SPAN></P><P><SPAN STYLE="font-weight:bold;"><SPAN>Please note:</SPAN></SPAN><SPAN><SPAN> In an effort to uphold information data integrity in the CDO we always welcome and appreciate your help and review of your community's data. If you encounter any incorrect information, please send an e-mail to: </SPAN></SPAN><A href="mailto:DCRAResearchAndAnalysis@alaska.gov" STYLE="text-decoration:underline;"><SPAN><SPAN>DCRA Research and Analysis</SPAN></SPAN></A></P></DIV></DIV></DIV>
Version 6.2 (Build 9200) ; Esri ArcGIS 10.8.1.14362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20221115
Feature Class
dataset
EPSG
6.12(9.3.0.0)
54
Simple
FALSE
54
TRUE
FALSE
Education_School_District_Master
Feature Class
54
OBJECTID
OBJECTID
OID
4
10
0
Internal feature number.
Esri
Sequential unique whole numbers that are automatically generated.
EntityName
EntityName
String
100
0
0
EntityID
EntityID
GUID
38
0
0
SID
SID
String
3
0
0
SchoolDistrictID
SchoolDistrictID
SmallInteger
2
5
0
Type
Type
String
20
0
0
Mailing_Address
Physical_Address
String
50
0
0
City
City
String
30
0
0
ZIPcode
ZIPcode
String
10
0
0
created_user
created_user
String
20
0
0
created_date
created_date
Date
8
0
0
last_edited_user
last_edited_user
String
20
0
0
last_edited_date
last_edited_date
Date
8
0
0
Shape
Shape
Geometry
4
0
0
Feature geometry.
Esri
Coordinates defining the features.
GlobalID
GlobalID
GlobalID
38
0
0
Shape.STArea()
Shape.STArea()
Double
0
0
0
Shape.STLength()
Shape.STLength()
Double
0
0
0