20260209
08483000
FALSE
20251231
20251231
11230500
TRUE
AddressPoints
1356895.049962
1670362.044712
1407946.956962
1565657.992962
1
003
Projected
GCS_North_American_1983_HARN
NAD_1983_HARN_StatePlane_New_Mexico_Central_FIPS_3002_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/3.4.0'><WKT>PROJCS["NAD_1983_HARN_StatePlane_New_Mexico_Central_FIPS_3002_Feet",GEOGCS["GCS_North_American_1983_HARN",DATUM["D_North_American_1983_HARN",SPHEROID["GRS_1980",6378137.0,298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Transverse_Mercator"],PARAMETER["False_Easting",1640416.666666667],PARAMETER["False_Northing",0.0],PARAMETER["Central_Meridian",-106.25],PARAMETER["Scale_Factor",0.9999],PARAMETER["Latitude_Of_Origin",31.0],UNIT["Foot_US",0.3048006096012192],AUTHORITY["EPSG",2903]]</WKT><XOrigin>-16806299.999288</XOrigin><YOrigin>-44067199.999788001</YOrigin><XYScale>4000</XYScale><ZOrigin>0</ZOrigin><ZScale>1</ZScale><MOrigin>-100000</MOrigin><MScale>10000</MScale><XYTolerance>0.002</XYTolerance><ZTolerance>2</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><WKID>2903</WKID><LatestWKID>2903</LatestWKID></ProjectedCoordinateSystem>
Linear Unit: Foot_US (0.304801)
1.0
FGDC CSDGM Metadata
FGDC
11230500
150000000
5000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dataset
20251231
GIS Technology Section/Bernalillo County Planning & Development Services
415 Silver Ave Sw
Albuquerque
NM
87102
gis@bernco.gov
US
(505) 848-1500
File Geodatabase Feature Class
AddressPointsTEST
vector digital data
2021-10-25T00:00:00
GIS Technology Section/Bernalillo County Planning & Development Services
<div style='text-align:Left;'><div><div><p><span>This point feature class is addresses for emergency service in Bernalillo County, NM and portions of the surrounding counties.</span></p></div></div></div>
United States of America
New Mexico
Bernalillo County
GIS Technology Section/Bernalillo County Planning & Development Services
415 Silver Ave Sw
Albuquerque
NM
87102
US
gis@bernco.gov
(505) 848-1500
<div style='text-align:Left;'><div><div><p><span>Please acknowledge the GIS Technology Section/Bernalillo County Planning & Development Services when using this feature class as a source.</span></p></div></div></div>
This information is for reference only. Bernalillo County assumes no liability for errors associated with the use of these data. Users are solely responsible for confirming data accuracy when necessary.
Created for (1) the Bernalillo County CAD (Computer-Aided Dispatch) System, (2) the Bernalillo County Fire & Rescue Department and Sheriff's Office, (3) the City of Albuquerque CAD E911 System, (4) the City of Albuquerque Fire Rescue Department and Police Department, and (5) the New Mexico State Department of Finance & Administration Wireless E-911 (Enhanced 911) Bureau.
GIS Technology Section/Bernalillo County Planning & Development Services
Esri ArcGIS 13.4.0.55405
1
-107.200201
-106.149634
35.303242
34.866232
E911 Address Points
0
EPSG
6.3(9.0.0)
AddressPoints
Feature Class
0
E911 Address Points
GIS Technology Section/Bernalillo County Planning & Development Services
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.
STREETNUMBER
STREETNUMBER (LEGACY)
Integer
4
0
0
Street number.
GIS Technology Section
STREETNAME
STREETNAME (LEGACY)
String
25
0
0
Street name.
GIS Technology Section
STREETDESIGNATION
StreetDesignation (LEGACY)
String
4
0
0
Street designation.
AVE
BLVD
BYP
CIR
CT
DR
EXT
FWY
LN
LOOP
PASS
PATH
PKWY
PL
RD
ST
TER
TRL
WAY
GIS Technology Section
STREETQUADRANT
StreetQuadrant (LEGACY)
String
2
0
0
Street quadrant.
NE
NW
SE
SW
GIS Technology Section
FULL_NAME
FULL_NAME (LEGACY FORMAT)
String
80
0
0
Street full name: STREETNAME, STREETDESIGNATION, and STREETQUADRANT fields concatenated.
GIS Technology Section
STR_DIR
STR DIR (LEGACY)
String
2
0
0
LSt_PreDir
Legacy Street Name Pre Directional
String
2
0
0
MSAG_COM
MSAG_COM (LEGACY)
String
35
0
0
MSAG (Master Street Address Guide) community on a road segment.
ALBUQUERQUE
<NULL> = Bernalillo County
HIGHLAND MEADOWS
ISLETA
KIRTLAND AFB
LA MADERA
LAGUNA
LOS LUNAS
LOS RANCHOS DE ALBUQUERQUE
MESITA
NORTH ALBUQUERQUE ACRES
OUT OF COUNTY
PARADISE HILLS
RIO RANCHO
SANDIA HEIGHTS
SEBOYETA
VILLAGE OF TIJERAS
GIS Technology Section
DSID
DSID (LEGACY)
String
5
0
0
Data source identifier. BE_CO = Bernalillo County
BEKIR = Bernalillo County & Kirtland Air Force Base
CI_CO = Cibola County
CILAG = Cibola County & Laguna Pueblo
SA_CO = Sandoval County
SARIO = Sandoval County & Rio Rancho
SF_CO = Santa Fe County
TO_CO = Torrance County
VA_CO = Valencia County
VAISL = Valencia County & Isleta Pueblo
GIS Technology Section
LSt_Name
Legacy Street Name
String
75
0
0
ESN
ESN (LEGACY)
String
5
0
0
ESN (Emergency Serial Number).
GIS Technology Section
CITY_ID
CITY_ID (LEGACY)
String
4
0
0
City/Community dispatch area. ABQ = Albuquerque
CHIL = Chilili Grant CIBO = Cibola County
CRPT = Navajo Tribal Police, Crownpoint District
EDGE = Edgewood
ISLE = Isleta Pueblo
KAFB = Kirtland Air Force Base
PHLS = Paradise Hills
RR = Rio Rancho
SDCO = Sandoval County
TIJ = Tijeras
VLR = Village of Los Ranchos
XXXX = Unincorporated Bernalillo County
GIS Technology Section
LSt_Typ
Legacy Street Name Type
String
4
0
0
DUP
DUP (LEGACY)
Integer
4
0
0
Unique or duplicate address.
0 = Unique Address
1 = Duplicate Address
GIS Technology Section
CHANGE_SOURCE
CHANGE_SOURCE (LEGACY)
String
20
0
0
Data or administrative source of GIS edit.
GIS Technology Section
ChangeSourceCode
GIS Technology Section
LSt_PosDir
Legacy Street Name Post Directional
String
2
0
0
CHANGE_DATE
CHANGE_DATE (LEGACY)
Date
8
0
0
Date GIS edit was made (MM/DD/YYYY).
GIS Technology Section
PCity
PCity (LEGACY)
String
150
0
0
Postal City/Community dispatch area based on GovernmentalBoundaries feature class. Used only by Bernalillo County E911.
ALBUQUERQUE
BERNALILLO COUNTY
CHILILI
CIBOLA COUNTY
EDGEWOOD
ISLETA
KIRTLAND AFB
LAGUNA
LOS RANCHOS
PARADISE HILLS
RIO RANCHO
SANDIA
SANDOVAL COUNTY
SANTA FE COUNTY
TIJERAS
TOHAJIILEE
TORRANCE COUNTY
VALENCIA COUNTY
GIS Technology Section
PZip
PZip (LEGACY)
String
150
0
0
USPO Zip code. Used only by Bernalillo County E911.
87007
87008
87014
87015
87016
87023
87026
87031
87035
87042
87043
87047
87048
87059
87068
87102
87104
87105
87106
87107
87107
87108
87109
87110
87111
87112
87113
87114
87115
87116
87120
87121
87122
87123
87124
87131
GIS Technology Section
State
State (NENA)
String
5
0
0
Used only by Bernalillo County E911.
NM = New Mexico
GIS Technology Section
FULL_NAME_NENA
FULL NAME (NENA FORMAT)
String
80
0
0
CI_Exception
CI_Exception (LEGACY)
String
5
0
0
STRUCT_ID
STRUCT_ID (LEGACY)
Integer
4
0
0
Post_Comm
Postal Community Name (NENA)
String
40
0
0
Post_Code
Post_Code (NENA)
String
7
0
0
Inc_Muni
Incorporated Municipality (NENA)
String
100
0
0
Longitude
Longitude (NENA)
Single
4
0
0
Latitude
Latitude (NENA)
Single
4
0
0
Building
Building (NENA)
String
75
0
0
Unit
Unit (NENA)
String
75
0
0
Add_Suffix
Address Number Suffix (NENA)
String
20
0
0
Addtl_Loc
Additional Location Information (NENA)
String
225
0
0
DiscrpAgID
Discrepancy Agency ID (NENA)
String
100
0
0
NGUID
NENA Globally Unique ID (NENA)
String
254
0
0
County
County (NENA)
String
100
0
0
LandmkName
Complete Landmark Name (NENA)
String
150
0
0
Milepost
Milepost (NENA)
String
150
0
0
Country
Country (NENA)
String
2
0
0
Add_Number
Address Number (NENA)
Integer
4
0
0
St_PreDir
Street Name Pre Directional (NENA)
String
10
0
0
St_Name
Street Name (NENA)
String
254
0
0
St_PosTyp
Street Name Post Type (NENA)
String
50
0
0
St_PosDir
Street Name Post Directional(NENA)
String
10
0
0
Place_Type
Place Type (NENA)
String
50
0
0
MSAGComm
MSAG Community Name (NENA)
String
30
0
0
Simple
FALSE
0
TRUE
FALSE