20250527
07401800
1.0
FALSE
BOUND_MNSenateDistrict2012
002
540151.567482
603451.332614
135178.871977
221607.089868
1
Projected
GCS_NAD_1983_HARN_Adj_MN_Ramsey
Linear Unit: Foot_US (0.304801)
NAD_1983_HARN_Adj_MN_Ramsey_Feet
<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["NAD_1983_HARN_Adj_MN_Ramsey_Feet",GEOGCS["GCS_NAD_1983_HARN_Adj_MN_Ramsey",DATUM["D_NAD_1983_HARN_Adj_MN_Ramsey",SPHEROID["S_GRS_1980_Adj_MN_Ramsey",6378418.941,298.2572221008827]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Lambert_Conformal_Conic"],PARAMETER["False_Easting",500000.0],PARAMETER["False_Northing",100000.0],PARAMETER["Central_Meridian",-93.38333333333334],PARAMETER["Standard_Parallel_1",44.88333333333333],PARAMETER["Standard_Parallel_2",45.13333333333333],PARAMETER["Latitude_Of_Origin",44.79111111111111],UNIT["Foot_US",0.3048006096012192],AUTHORITY["Esri",103768]]</WKT><XOrigin>-119096800</XOrigin><YOrigin>-98462100</YOrigin><XYScale>3048.0060960121928</XYScale><ZOrigin>0</ZOrigin><ZScale>1</ZScale><MOrigin>0</MOrigin><MScale>1</MScale><XYTolerance>0.0032808333333333331</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><WKID>103768</WKID><LatestWKID>103768</LatestWKID></ProjectedCoordinateSystem>
20250917
08571200
20250917
08571200
Matt Koukol
Ramsey County
GIS Manager
651.266.3463
121 7th Place E
Suite 2300
Saint Paul
MN
55101
RCGISMetaData@co.ramsey.mn.us
20200122
ArcGIS Metadata
1.0
https://www.ramseycounty.us/your-government/open-government/research-data
Enterprise Geodatabase Feature Class
BOUND_MNSenateDistrict2012_ViewOnly
2012
Minnesota Legislative Coordinating Commission - Geographic Information Services Office (LCC- GIS)
Ramsey County Enterprise GIS
This is a polygon data set of the 2012 Senate District Boundaries in Ramsey County. It displays county names and district numbers with associated members. It was derived from U.S. Census Bureau 2010 TIGER/Line files as a result of 2010 redistricting efforts and corrected to match Ramsey County's geometry.
This data was created to display 2012 Senate District boundaries and to allow geographical review/analysis adhering to MN Senate District boundaries.
Lee Meilleur
Minnesota Legislative Coordinating Commission - Geographic Information Services Office (LCC-GIS)
Director
651-296-0098
651-297-3699
100 Martin Luther King, Jr. Blvd., Suite 55
St. Paul
MN
55155
lee.meilleur@gis.leg.mn
ftp://ftp.gisdata.mn.gov/pub/gdrs/data/pub/us_mn_state_lcc/bdry_senatedistricts2012/metadata/preview.jpg
Statewide view of Senate District Boundaries
Minnesota, MN, Ramsey County
Minnesota, Senate, Districts, 2012, Boundaries
bdry
Minnesota
MN
Ramsey County
Minnesota
Senate
Districts
2012
Boundaries
View Only
None. Please check sources, scale, accuracy, currentness and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the publisher would be appreciated.
EXCEPT AS EXPRESSLY STATED HEREIN, THIS DATA IS PROVIDED AS IS WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING, BUT NOT LIMITED TO, WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE. USER BEARS ANY AND ALL RISK RELATING TO QUALITY AND PERFORMANCE OF THIS DATA. Limit on Liability: This data is not a legally recorded map or survey and is not intended to be used as one. This data is a compilation of records and information from various state, county, and city offices, and other sources, and should be used for reference only.
In no event will the County of Ramsey be liable for direct, indirect, special, incidental, or consequential damages arising out of the use of, or inability to use, the data, even if advised of the possibility of such damages. Specifically, the County of Ramsey is not responsible for any costs including, but not limited to, those incurred as a result of lost profits or revenue, loss of use of data, the costs of recovering such programs or data, the cost of any substitute programs or data, claims by third parties, or for other similar costs.
None.
MN House Districts, MN Congressional Districts, TIGER/Line files
true
-93.228202
-92.982974
45.124277
44.890922
This file is current as of 2010 Census Bureau redistricting efforts. Boundary updates are completed every decennial census.
2012
Ramsey County
Esri ArcGIS 13.3.0.52636
1
-93.228428
-92.982569
45.124525
44.886895
Attributes represent information regarding district member
None
Complete Statewide
No assessment completed.
No assessment completed.
This database of Senate District Boundaries was developed from U.S. Census Bureau 2010 TIGER/Line files. The redistricting boundaries were extracted from the 2010 TIGER/Line files using Maptitude software. Manual editing was completed to add attribute field containing district member and party affliation
http://www.mngeo.state.mn.us/committee/standards/mgmg/metadata.htm
''DISTRICT'' - Senate District number
"NAME" - Senator Name
''POPULATION'' - Population 2010 ''HISPANIC_O'' - Hispanic Origin ''NH_WHT'' - Non-Hispanic White ''NH_DOJ_BLK'' - Non-Hispanic (Department of Justice) Black ''NH_DOJ_IND'' - Non-Hispanic (Department of Justice) Indian ''NH_DOJ_ASN'' - Non-Hispanic (Department of Justice) Asian ''NH_DOJ_HWN'' - Non-Hispanic (Department of Justice) Hawaiian ''NH_DOJ_OTH'' - Non-Hispanic (Department of Justice) Other Race ''NH_DOJ_OT1'' - Non-Hispanic (Department of Justice) Other Multi Race ''F18_POP'' - 18+ Population 2010 ''H18_POP'' - 18+ Hispanic ''NH18_WHT'' - 18+ Non-Hispanic White ''NH18_DOJ_B'' - 18+ Non-Hispanic (Department of Justice) Black ''NH18_DOJ_I'' - 18+ Non-Hispanic (Department of Justice) Indian ''NH18_DOJ_A'' - 18+ Non-Hispanic (Department of Justice) Asian ''NH18_DOJ_H'' - 18+ Non-Hispanic (Department of Justice) Hawaiian ''NH18_DOJ_O'' - 18+ Non-Hispanic (Department of Justice) Other Race ''DEM_INDEX'' - Field to calculate Democratic Index ''REP_INDEX'' - Field to calculate Republican Index ''THIRD_INDE'' - Field to calculate Third Party Index ''INDEX_VOTE'' - Field to calculate Total of all Index Votes ''F_HISPANIC''- Percentage of Hispanic Origin ''F_NH_WHT'' - Percentage of Non-Hispanic White ''F_NH_DOJ_B'' - Percentage of Non-Hispanic (Department of Justice) Black ''F_NH_DOJ_I'' - Percentage of Non-Hispanic (Department of Justice) Indian ''F_NH_DOJ_A'' - Percentage of Non-Hispanic (Department of Justice) Asian ''F_NH_DOJ_H'' - Percentage of Non-Hispanic (Department of Justice) Hawaiian ''F_NH_DOJ_O'' - Percentage of Non-Hispanic (Department of Justice) Other Race ''F_NH_DOJ_1'' - Percentage of Non-Hispanic (Department of Justice) Multi-racial ''F_H18_POP'' - Percentage of 18+ Hispanic ''F_NH18_WHT'' - Percentage of 18+ Non-Hispanic White ''F_NH18_DOJ' - Percentage of 18+ Non-Hispanic (Department of Justice) Black ''F_NH18_DO1' - Percentage of 18+ Non-Hispanic (Department of Justice) Indian ''F_NH18_DO2' - Percentage of 18+ Non-Hispanic (Department of Justice) Asian ''F_NH18_DO3'' - Percentage of 18+ Non-Hispanic (Department of Justice) Hawaiian ''F_NH18_DO4'' - Percentage of 18+ Non-Hispanic (Department of Justice) Other Race "F_NH18_DO5" - Percentage of 18+ Non-Hispanic (Department of Justice) Multi-racial ''COLORING'' - Map Coloring Caliper
BOUND_MNSenateDistrict2012
Feature Class
9
OBJECTID
OBJECTID
OID
4
10
0
Internal feature number.
Esri
Sequential unique whole numbers that are automatically generated.
ID
ID
Double
8
38
8
GISWarehouse_GISPUB_ADMIN_MNSen
GISWarehouse.GISPUB.ADMIN_MNSenateDistrict2012.AREA
Double
8
38
8
DATA
DATA
Double
8
38
8
DISTRICT
DISTRICT
String
12
0
0
MEMBERS
MEMBERS
Double
8
38
8
LOCKED
LOCKED
String
1
0
0
NAME
NAME
String
43
0
0
POPULATION
POPULATION
Double
8
38
8
HISPANIC_O
HISPANIC_O
Double
8
38
8
NH_WHT
NH_WHT
Double
8
38
8
NH_DOJ_BLK
NH_DOJ_BLK
Double
8
38
8
NH_DOJ_IND
NH_DOJ_IND
Double
8
38
8
NH_DOJ_ASN
NH_DOJ_ASN
Double
8
38
8
NH_DOJ_HWN
NH_DOJ_HWN
Double
8
38
8
NH_DOJ_OTH
NH_DOJ_OTH
Double
8
38
8
NH_DOJ_OT1
NH_DOJ_OT1
Double
8
38
8
F18_POP
F18_POP
Double
8
38
8
H18_POP
H18_POP
Double
8
38
8
NH18_WHT
NH18_WHT
Double
8
38
8
NH18_DOJ_B
NH18_DOJ_B
Double
8
38
8
NH18_DOJ_I
NH18_DOJ_I
Double
8
38
8
NH18_DOJ_A
NH18_DOJ_A
Double
8
38
8
NH18_DOJ_H
NH18_DOJ_H
Double
8
38
8
NH18_DOJ_O
NH18_DOJ_O
Double
8
38
8
NH18_DOJ_1
NH18_DOJ_1
Double
8
38
8
IDEAL_VALU
IDEAL_VALU
Double
8
38
8
DEVIATION
DEVIATION
Double
8
38
8
F_DEVIATIO
F_DEVIATIO
Double
8
38
8
F_HISPANIC
F_HISPANIC
Double
8
38
8
F_NH_WHT
F_NH_WHT
Double
8
38
8
F_NH_DOJ_B
F_NH_DOJ_B
Double
8
38
8
F_NH_DOJ_I
F_NH_DOJ_I
Double
8
38
8
F_NH_DOJ_A
F_NH_DOJ_A
Double
8
38
8
F_NH_DOJ_H
F_NH_DOJ_H
Double
8
38
8
F_NH_DOJ_O
F_NH_DOJ_O
Double
8
38
8
F_NH_DOJ_1
F_NH_DOJ_1
Double
8
38
8
F_H18_POP
F_H18_POP
Double
8
38
8
F_NH18_WHT
F_NH18_WHT
Double
8
38
8
F_NH18_DOJ
F_NH18_DOJ
Double
8
38
8
F_NH18_DO1
F_NH18_DO1
Double
8
38
8
F_NH18_DO2
F_NH18_DO2
Double
8
38
8
F_NH18_DO3
F_NH18_DO3
Double
8
38
8
F_NH18_DO4
F_NH18_DO4
Double
8
38
8
F_NH18_DO5
F_NH18_DO5
Double
8
38
8
COLORING
COLORING
SmallInteger
2
5
0
GlobalID
GlobalID
GlobalID
38
0
0
created_user
created_user
String
255
0
0
created_date
created_date
Date
8
0
0
last_edited_user
last_edited_user
String
255
0
0
last_edited_date
last_edited_date
Date
8
0
0
Shape
Shape
Geometry
8
0
0
Feature geometry.
Esri
Coordinates defining the features.
Shape.STArea()
Shape.STArea()
Double
0
0
0
Shape.STLength()
Shape.STLength()
Double
0
0
0
dataset
Esri
9.0.0
9
Simple
FALSE
9
TRUE
FALSE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