20240615
03110000
1.0
FALSE
HighCleanedJoined092024
002
0.000
Projected
GCS_North_American_1983
Linear Unit: Meter (1.000000)
USA_Contiguous_Albers_Equal_Area_Conic
<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/3.3.0'><WKT>PROJCS["USA_Contiguous_Albers_Equal_Area_Conic",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",-96.0],PARAMETER["Standard_Parallel_1",29.5],PARAMETER["Standard_Parallel_2",45.5],PARAMETER["Latitude_Of_Origin",37.5],UNIT["Meter",1.0],AUTHORITY["Esri",102003]]</WKT><XOrigin>-16901100</XOrigin><YOrigin>-8579000</YOrigin><XYScale>266467840.99085236</XYScale><ZOrigin>-100000</ZOrigin><ZScale>10000</ZScale><MOrigin>-100000</MOrigin><MScale>10000</MScale><XYTolerance>0.001</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><WKID>102003</WKID><LatestWKID>102003</LatestWKID></ProjectedCoordinateSystem>
20240910
11293400
20240910
11293400
Esri ArcGIS 13.3.0.52636
HighCleanedJoined092024
Shapefile
0.000
dataset
Esri
4.0.0
0
Simple
FALSE
0
FALSE
FALSE
HighCleanedJoined092024
Feature Class
0
FID
FID
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.
LAT
LAT
Double
19
0
0
LON
LON
Double
19
0
0
NCESSCH_1
NCESSCH_1
Double
19
0
0
JOIN_NUM
JOIN_NUM
Double
19
0
0
SCH_CAT
SCH_CAT
String
254
0
0
YEAR_1
YEAR_1
String
254
0
0
Year
Year
String
254
0
0
Div
Div
String
254
0
0
DivFed
DivFed
String
254
0
0
DivNum
DivNum
Integer
10
10
0
Divname
Divname
String
254
0
0
Sch_num
Sch_num
Integer
10
10
0
Sch_name
Sch_name
String
254
0
0
FID_
FID_
Integer
10
10
0
LAT_1
LAT_1
Double
19
0
0
LON_1
LON_1
Double
19
0
0
JOIN_NUM_1
JOIN_NUM_1
Integer
10
10
0
SCH_CAT_1
SCH_CAT_1
String
254
0
0
YEAR_12
YEAR_12
String
254
0
0
PER_INEX_T
PER_INEX_T
Double
19
0
0
PER_OOF_T
PER_OOF_T
Double
19
0
0
PER_PROV
PER_PROV
Double
19
0
0
BLKSTU_CI
BLKSTU_CI
Double
19
0
0
NUM_BLKLTS
NUM_BLKLTS
Integer
10
10
0
PER_PROF
PER_PROF
String
254
0
0
PER_ALL_AP
PER_ALL_AP
String
254
0
0
P_ABOVE10
P_ABOVE10
Double
19
0
0
PER_ADVDIP
PER_ADVDIP
Double
19
0
0
PER_EC_DIS
PER_EC_DIS
Double
19
0
0
PER_ELL
PER_ELL
Double
19
0
0
PER_BLK_LA
PER_BLK_LA
Double
19
0
0
SCH_DIV
SCH_DIV
String
254
0
0
FED_SCHDIV
FED_SCHDIV
String
254
0
0
DIV_NUM
DIV_NUM
Integer
10
10
0
DIV_NAME
DIV_NAME
String
254
0
0
SCH_NUM_1
SCH_NUM_1
Integer
10
10
0
SCH_NAME_1
SCH_NAME_1
String
254
0
0
20240910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