20260527
14462000
1.0
FALSE
GrowthPrioritizationScale_poly_scag
002
64.628
272121.596100
764148.683500
3609358.136200
3963607.807200
1
Projected
GCS_North_American_1983
Linear Unit: Meter (1.000000)
NAD_1983_UTM_Zone_11N
<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_UTM_Zone_11N",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["Transverse_Mercator"],PARAMETER["False_Easting",500000.0],PARAMETER["False_Northing",0.0],PARAMETER["Central_Meridian",-117.0],PARAMETER["Scale_Factor",0.9996],PARAMETER["Latitude_Of_Origin",0.0],UNIT["Meter",1.0],AUTHORITY["EPSG",26911]]</WKT><XOrigin>-5120900</XOrigin><YOrigin>-9998100</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>26911</WKID><LatestWKID>26911</LatestWKID></ProjectedCoordinateSystem>
20241112
14171800
20241112
14171800
150000000
5000
FGDC
Version 6.2 (Build 9200) ; Esri ArcGIS 10.8.1.14362
TAZ-level Growth Prioritization Scale
1
-119.521474
-114.077632
35.816607
32.590238
<DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN STYLE="font-weight:bold;">Field Description/Field Values Description:</SPAN></P><P><SPAN>COUNTY – County the jurisdiction is located in</SPAN></P><P><SPAN><SPAN>COUNTY_ID – County ID the jurisdiction is located in</SPAN></SPAN></P><P><SPAN><SPAN>CITY – Jurisdiction name</SPAN></SPAN></P><P><SPAN><SPAN>CITY_ID – Jurisdiction ID number</SPAN></SPAN></P><P><SPAN><SPAN>TIER2 – Tier2 Transportation Analysis Zone</SPAN></SPAN></P><P><SPAN><SPAN>CT2 – City Tier 2 Transportation Analysis Zone</SPAN></SPAN></P><P><SPAN>ACRES – Size of City/Tier2 TAZ, in acres</SPAN></P><P><SPAN>ACRES_01 through ACRES_20 - Acres of City/Tier2 TAZ that are within a particular step of the Connect SoCal 2024 Growth Prioritization Scale, 1 through 20.</SPAN></P><P><SPAN>GPS_SCALE - This City/Tier2 TAZ's predominant step on the Growth Prioritization Scale. Step 1: 4 PDA/0 GRRA, Step 2: 3 PDA/0 GRRA, Step 3: 2 PDA/0 GRRA, Step 4: 1 PDA/0 GRRA. Step 5: 0 PDA/0 GRRA. Step 6: 4 PDA/1 GRRA. Step 7: 3 PDA/1 GRRA. Step 8: 2 PDA/1 GRRA. Step 9: 1 PDA/1 GRRA. Step 10: 0 PDA/1 GRRA. Step 11: 4 PDA/2 GRRA. Step 12: 3 PDA/2 GRRA. Step 13: 2 PDA/2 GRRA. Step 14: 1 PDA/2 GRRA. Step 15: 0 PDA/2 GRRA. Step 16: 4 PDA/3+ GRRA. Step 17: 3 PDA/3+ GRRA. Step 18: 2 PDA/3+ GRRA. Step 19: 1 PDA/3+ GRRA. Step 20: 0 PDA/3+ GRRA></SPAN></P><P><SPAN>PDA_count - The number of overlapping PDAs which cover a predominant area within this City/Tier2 TAZ (Connect SoCal 2024 PDAs include Neighborhood Mobility Areas, Livable Corridors, Transit Priority areas, and Spheres of Influence in unincorporated areas only) </SPAN></P><P><SPAN>GRRA_count - The number of overlapping GRRAs which cover a predominant area within this City/Tier2 TAZ (See GRRA data layer or Connect SoCal 2024 Land Use and Communities Technical Report for individual GRRA details). </SPAN></P><P><SPAN /></P></DIV></DIV></DIV>
A reflection of the extent of Connect SoCal 2024 Priority Development Areas (PDAs) and Green Region Resource Areas (GRRAs) at the Transportation Analysis Zone (TAZ, City/Tier2) level. As part of the development of the plan's preliminary Forecasted Regional Development Pattern, every parcel in the region was identified as being in or out of PDAs and GRRAs. This allowed for remaining housing unit capacity to be assessed along a Growth Prioritization Scale, ranging from 1 to 20, based on how many PDAs or
GRRAs it lies in. Areas with overlapping PDAs and no GRRAs are identified as the best locations to encourage growth (lower scores), whereas areas with no PDAs and multiple GRRAs are areas growth should avoid (higher scores). This scale provides a rough guide to help compare areas, across a very diverse region, based on
their consistency with regional strategies, SB 375 environmental requirements, and achieving state GHG targets. Growth Prioritization Scale details can be found in Section 5 of Connect SoCal 2024's Land Use and Communities Technical Report. This dataset is not suitable for assessing whether a particular parcel or site is within a particular PDA, GRRA, or Growth Prioritization Scale step since these topics are based on geographical boundaries with more precision than City/Tier2 TAZs. As such, please refer to the most up-to-date individual PDA or GRRA data layers to assess whether a particular parcel or site is within them.
SCAG
SCAG
Connect SoCal 2024
Forecasted Regional Development Pattern
Lyle Janicek
SCAG
Lyle Janicek
900 Wilshire Blvd., Ste. 1700
Los Angeles
CA
90017
janicek@scag.ca.gov
213-236-1966
Every four years alongside RTP/SCS adoption
<p>This dataset is provided by SCAG for general planning and informational purposes only, and SCAG shall incur no responsibility or liability as to the completeness, correctness, or accuracy of this information. All information is provided "as is" without warranty of any kind, express or implied, including warranties of accuracy, completeness, timeliness, merchantability, fitness for a particular purpose, or non-infringement.</p>
<p>The dataset may include third-party data not maintained by SCAG. SCAG makes no guarantees regarding such data and assumes no liability for errors, omissions, or outcomes arising from its use.</p>
<p>Users are strongly encouraged to verify information with original sources. Where applicable, consult local jurisdictions for official land use, zoning, or other authoritative data.</p>
Feature Class
64.628
dataset
EPSG
6.13(3.0.1)
0
Simple
FALSE
0
TRUE
FALSE
GrowthPrioritizationScale_poly_scag
Feature Class
0
OBJECTID
FID
OID
4
10
0
Internal feature number.
Esri
Sequential unique whole numbers that are automatically generated.
Shape
Shape
Geometry
4
0
0
Feature geometry.
Esri
Coordinates defining the features.
COUNTY
COUNTY
String
14
0
0
County the jurisdiction is located in
U.S. Census Bureau
COUNTY_ID
COUNTY_ID
String
3
0
0
Federal Information Processing Standard code referring to county identification.
U.S. Census Bureau
CITY
CITY
String
22
0
0
Jurisdiction name
U.S. Census Bureau
CITY_ID
CITY_ID
String
5
0
0
Federal Information Processing Standard code referring to city identification.
U.S. Census Bureau
TIER2
TIER2
String
8
0
0
Tier2 Transportation Analysis Zone
SCAG
CT2
CT2
String
16
0
0
City Tier 2 Transportation Analysis Zone
SCAG
ACRES
ACRES
Double
8
38
8
Size of City/Tier2 TAZ, in acres
Esri
Acres_01
Acres_01
Double
8
38
8
Acres of City/Tier2 TAZ that are within a particular step of the Connect SoCal 2024 Growth Prioritization Scale, 1 through 20.
SCAG
Acres_02
Acres_02
Double
8
38
8
Acres of City/Tier2 TAZ that are within a particular step of the Connect SoCal 2024 Growth Prioritization Scale, 1 through 20.
SCAG
Acres_03
Acres_03
Double
8
38
8
Acres of City/Tier2 TAZ that are within a particular step of the Connect SoCal 2024 Growth Prioritization Scale, 1 through 20
SCAG
Acres_04
Acres_04
Double
8
38
8
Acres of City/Tier2 TAZ that are within a particular step of the Connect SoCal 2024 Growth Prioritization Scale, 1 through 20
SCAG
Acres_05
Acres_05
Double
8
38
8
Acres of City/Tier2 TAZ that are within a particular step of the Connect SoCal 2024 Growth Prioritization Scale, 1 through 20
SCAG
Acres_06
Acres_06
Double
8
38
8
Acres of City/Tier2 TAZ that are within a particular step of the Connect SoCal 2024 Growth Prioritization Scale, 1 through 20
SCAG
Acres_07
Acres_07
Double
8
38
8
Acres of City/Tier2 TAZ that are within a particular step of the Connect SoCal 2024 Growth Prioritization Scale, 1 through 20
SCAG
Acres_08
Acres_08
Double
8
38
8
Acres of City/Tier2 TAZ that are within a particular step of the Connect SoCal 2024 Growth Prioritization Scale, 1 through 20
SCAG
Acres_09
Acres_09
Double
8
38
8
Acres of City/Tier2 TAZ that are within a particular step of the Connect SoCal 2024 Growth Prioritization Scale, 1 through 20
SCAG
Acres_10
Acres_10
Double
8
38
8
Acres of City/Tier2 TAZ that are within a particular step of the Connect SoCal 2024 Growth Prioritization Scale, 1 through 20
SCAG
Acres_11
Acres_11
Double
8
38
8
Acres of City/Tier2 TAZ that are within a particular step of the Connect SoCal 2024 Growth Prioritization Scale, 1 through 20
SCAG
Acres_12
Acres_12
Double
8
38
8
Acres of City/Tier2 TAZ that are within a particular step of the Connect SoCal 2024 Growth Prioritization Scale, 1 through 20
SCAG
Acres_13
Acres_13
Double
8
38
8
Acres of City/Tier2 TAZ that are within a particular step of the Connect SoCal 2024 Growth Prioritization Scale, 1 through 20
SCAG
Acres_14
Acres_14
Double
8
38
8
Acres of City/Tier2 TAZ that are within a particular step of the Connect SoCal 2024 Growth Prioritization Scale, 1 through 20
SCAG
Acres_15
Acres_15
Double
8
38
8
Acres of City/Tier2 TAZ that are within a particular step of the Connect SoCal 2024 Growth Prioritization Scale, 1 through 20
SCAG
Acres_16
Acres_16
Double
8
38
8
Acres of City/Tier2 TAZ that are within a particular step of the Connect SoCal 2024 Growth Prioritization Scale, 1 through 20
SCAG
Acres_17
Acres_17
Double
8
38
8
Acres of City/Tier2 TAZ that are within a particular step of the Connect SoCal 2024 Growth Prioritization Scale, 1 through 20
SCAG
Acres_18
Acres_18
Double
8
38
8
Acres of City/Tier2 TAZ that are within a particular step of the Connect SoCal 2024 Growth Prioritization Scale, 1 through 20
SCAG
Acres_19
Acres_19
Double
8
38
8
Acres of City/Tier2 TAZ that are within a particular step of the Connect SoCal 2024 Growth Prioritization Scale, 1 through 20
SCAG
Acres_20
Acres_20
Double
8
38
8
Acres of City/Tier2 TAZ that are within a particular step of the Connect SoCal 2024 Growth Prioritization Scale, 1 through 20.
SCAG
GPS_Scale
GPS_Scale
Double
8
38
8
This City/Tier2 TAZ's predominant step on the Growth Prioritization Scale. Step 1: 4 PDA/0 GRRA, Step 2: 3 PDA/0 GRRA, Step 3: 2 PDA/0 GRRA, Step 4: 1 PDA/0 GRRA. Step 5: 0 PDA/0 GRRA. Step 6: 4 PDA/1 GRRA. Step 7: 3 PDA/1 GRRA. Step 8: 2 PDA/1 GRRA. Step 9: 1 PDA/1 GRRA. Step 10: 0 PDA/1 GRRA. Step 11: 4 PDA/2 GRRA. Step 12: 3 PDA/2 GRRA. Step 13: 2 PDA/2 GRRA. Step 14: 1 PDA/2 GRRA. Step 15: 0 PDA/2 GRRA. Step 16: 4 PDA/3+ GRRA. Step 17: 3 PDA/3+ GRRA. Step 18: 2 PDA/3+ GRRA. Step 19: 1 PDA/3+ GRRA. Step 20: 0 PDA/3+ GRRA
SCAG
PDA_count
PDA_count
Integer
4
10
0
The number of overlapping PDAs which cover a predominant area within this City/Tier2 TAZ (Connect SoCal 2024 PDAs include Neighborhood Mobility Areas, Livable Corridors, Transit Priority areas, and Spheres of Influence in unincorporated areas only)
SCAG
GRRA_count
GRRA_count
Double
8
38
8
The number of overlapping GRRAs which cover a predominant area within this City/Tier2 TAZ (See GRRA data layer or Connect SoCal 2024 Land Use and Communities Technical Report for individual GRRA details).
SCAG
YEAR
YEAR
Integer
4
10
0
Year of Plan adoption / effective year.
SCAG
Shape.area
Shape.area
Double
0
0
0
Shape.len
Shape.len
Double
0
0
0
20241112
Lyle Janicek
SCAG
900 Wilshire Blvd., Ste. 1700
Los Angeles
CA
90017
janicek@scag.ca.gov
213-236-1966
Every four years, alongside RTP/SCS adoption
Lyle Janicek
SCAG
Lyle Janicek
900 Wilshire Blvd., Ste. 1700
Los Angeles
CA
90017
janicek@scag.ca.gov
213-236-1966
<DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>See Description.</SPAN></P></DIV></DIV></DIV>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