AndreaBozzo/ceres-open-data-index huggingface dataset:
Absolute Constrained Areas (ACAs) - SCAG region

This is the Absolute Constrained Areas (ACAs) in the SCAG Region developed for Connect SoCal, the 2020-2045 Regional Transportation Plan/Sustainable Communities Strategy (RTP/SCS). ACAs include Tribal Nation Lands, Military Lands, Open Space and Conserved Lands, Sea Level Rise Areas (2 feet), Farmlands in Unincorporated Areas.Tribal Nation Lands – SCAG utilized the Census Bureau’s American Indian/Alaska Native/Native Hawaiian (AIANNH) Areas database for 2017 to identify tribal nations in the SCAG region;Military Lands – Locations of military lands are derived from SCAG’s 2016 Existing Land Use Database, which underwent review and refinement by local jurisdictions through the Bottom-Up Local Input and Envisioning Process;Open Space and Conserved Lands – Data on conservation areas, open space, and parks from year 2017 comes from the Save Our Agricultural Resources (SOAR) protected areas in Ventura County, the California Conservation Easement Database, as well as the California Protected Areas Database (CPAD). Together, these data inventories represent protected open space lands, conserved areas, and conservation easements in the SCAG region and the greater State of California. Several elements were developed by aggregating and cross-checking various open space data from multiple public agencies by GreenInfo Network, and also benefit from feedback provided by local jurisdictions through SCAG’s Bottom-Up Local Input and Envisioning Process; Sea Level Rise Areas (2 feet) – Data on coastal inundation were obtained from the National Oceanic and Atmospheric Administration (NOAA) Coastal Services Center’s online mapping viewer depicting potential sea level rise and its associated impacts on the nation’s coastal areas (accessed by SCAG in 2017). These data depict the potential inundation of coastal areas resulting from a projected 2 feet rise in sea level above current Mean Higher High Water (MHHW) conditions, and underwent review by SCAG’s local jurisdictions; and Farmlands in Unincorporated Areas – Farmland information was obtained from the Farmland Mapping & Monitoring Program (FMMP) in the Division of Land Resource Protection in the California Department of Conservation. Established in 1982, the FMMP is to provide consistent and impartial data and analysis of agricultural land use and land use changes throughout the State of California. For SCAG’s purposes, data from year 2016 (and 2014 in areas where 2016 data was unavailable) underwent review and refinement by local jurisdictions through the Bottom-Up Local Input and Envisioning Process. PLEASE NOTE this data is intended for planning purposes only, and SCAG shall incur no responsibility or liability as to the completeness, currentness, or accuracy of this information. SCAG assumes no responsibility arising from use of this information by individuals, businesses, or other public entities. The information is provided with no warranty of any kind, expressed or implied, including but not limited to the implied warranties of merchantability and fitness for a particular purpose.
Transit Priority Areas (TPAs) in the SCAG Region for plan year 2050

This dataset represents the Transit Priority Areas (TPAs) in the SCAG Region for plan year 2050. It was originally developed for SCAG's Connect SoCal 2024, the Regional Transportation Plan/Sustainable Communities Strategy (RTP/SCS), and subsequently updated to reflect the AB 2553 definition of a major transit stop. Transit Priority Area, as defined in CA Public Resources Code Section 21099(a), means an area within one-half mile of a major transit stop that is existing or planned, if the planned stop is scheduled to be completed within the planning horizon included in a Transportation Improvement Program adopted pursuant to Section 450.216 or 450.322 of Title 23 of the Code of Federal Regulations. Major transit stop is defined pursuant to California Public Resources Code Section 21064.3 and has been updated in accordance with AB 2553. Under AB 2553, a major transit stop is defined as a site containing an existing rail or bus rapid transit station, a ferry terminal served by either a bus or rail transit service, the intersection of two or more major bus routes with a frequency of service interval of 20 minutes or less during the morning and afternoon peak commute periods, or other major transit stops included in the applicable regional transportation plan. Further explanation of the methodology for identifying major transit stops is included in the Connect SoCal Transit Technical Report Appendix. Major transit stops are based on the 2050 plan year transit network of Connect SoCal 2024. PLEASE NOTE that SCAG updates its inventory of planned major transit stops with the adoption of a new RTP/SCS, once every four years. However, transit planning studies may be completed by transit agencies on a more frequent basis than the RTP/SCS is updated by SCAG. Users should consult with the appropriate transit provider(s) to obtain the latest information on planned transit routes, stop locations, and service intervals. This data is intended for planning purposes only, and SCAG shall incur no responsibility or liability as to the completeness, currentness, or accuracy of this information. SCAG assumes no responsibility arising from use of this information by individuals, businesses, or other public entities. The information is provided with no warranty of any kind, expressed or implied, including but not limited to the implied warranties of merchantability and fitness for a particular purpose.
Regional Dedicated Transit Lanes

The Regional Dedicated Transit Lanes Study identified the key benefits of dedicated bus lanes and the primary factors for successful implementation, conducted a preliminary assessment on where transit priority treatments might be most feasible and beneficial in the SCAG region, and provided recommendations and guidance for local jurisdictions that are seeking to pilot or implement dedicated bus lanes and transit priority treatments. The dataset is a repository of existing, planned, and recommendations from the study finalized in collaboration with transportation agency stakeholders throughout the region, including County Transportation Commissions (CTCs), Councils of Governments (COGs), transit operators, and community-based organizations (CBOs), through various stakeholder meetings and the project Technical Advisory Committee (TAC). The dedicated transit lanes network is one of the mobility strategies for implementing Connect SoCal 2024 and will be further refined as part of Connect SoCal 2050.
Sphere_NoIncorporated_boundary_scag

This data contains the boundaries of the Sphere of Influence in the SCAG Region for the year 2024, updated as of March, 2025. The Sphere of Influence represents the geographic extent to which a city can expand by annexation. The original sphere of influence boundary data was obtained from county local agency formation commissions (LAFCOs)to reflect the most current updates and then was reviewed and cleaned up by SCAG staff. This data will be further reviewed and updated as SCAG continues to receive feedbacks from LAFCOs, subregions and local jurisdictions.
Tract_boundary_SCAG

The census tract boundaries are the 2024 TIGER/Line Shapefiles version, downloaded from the U.S. Census Bureau, Topologically Integrated Geographic Encoding and Referencing (TIGER) Products website. Census tracts generally have a population size of 1,200 to 8,000 people with an optimum size of 4,000 people. The spatial size of census tracts varies widely depending on the density of settlement. Ideally, census tract boundaries remain stable over time to facilitate statistical comparisons from census to census. However, physical changes in street patterns caused by highway construction, new development, and so forth, may require boundary revisions. In addition, significant changes in population may result in splitting or combining census tracts. Census tract boundaries generally follow visible and identifiable features. Census tract boundaries may follow legal boundaries (e.g., MCD or incorporated place boundaries in some states to allow for census tract-to-governmental unit relationships where the governmental boundaries tend to remain unchanged between censuses). State and county boundaries always are census tract boundaries in the standard census geographic hierarchy. In a few rare instances, a census tract may consist of noncontiguous areas.
US County and Territory COVID-19 Trend History

On March 10, 2023, the Johns Hopkins Coronavirus Resource Center ceased its collecting and reporting of global COVID-19 data. For updated cases, deaths, and vaccine data please visit: [U.S. Centers for Disease Control and Prevention (CDC)] For more information, visit the J[ohns Hopkins Coronavirus Resource Center]. This map is updated weekly. It shows COVID-19 Trend for the most recent Monday with a colored dot for each county. The larger the dot, the longer the county has had this trend. Includes Puerto Rico, Guam, Northern Marianas, U.S. Virgin Islands. Note: Nebraska Stopped reporting county level-results on 5/25/2021 and re-started on 9/26/21 with a lump-sum representing the previous four months - this impacted the weekly sum of cases fields. The intent of this map is to give more context than just the current day of new data because daily data for COVID-19 cases is volatile and can be unreliable on the day it is first reported. Weekly summaries in the counts of new cases smooth out this volatility. Click or tap on a county to see a history of trend changes and a weekly graph of new cases going back to February 1, 2020. For more information about COVID-19 trends, see the [full methodology]. Data Source: [Johns Hopkins University CSSE] [US Cases by County dashboard].
GRRA_Agriculture_boundary_scag

The Green Region Resource Areas (GRRAs) dataset consists of information on natural hazards, sensitivities, farmland, tribal nations, military installations, and natural assets. The GRRA datasets are developed to support coordinating regional land use with transportation strategies and address the region’s growth and sustainability challenges to protect the region’s natural assets and reduce future risks from climate change. GRRAs are organized into three Data Categories with seven Topic Areas: Climate Hazards (flood hazard, sea level rise, wildfire risk), Habitat (habitat value, wildlife corridors, aquatic resources), and Agriculture (farmland). Agriculture is a vital GRRA category, valued not only for its economic importance but also for its contribution to regional sustainability, food security, and resilience. Preserving agricultural lands helps limit urban sprawl, protect carbon sequestration capacity, and sustain the long-term viability of California’s farming economy. Two data sources inform the farmland Topic Area within the data category of Agriculture: Farmland and Monitoring Program (FMMP), 2022, California Department of ConservationCalifornia Williamson Act Enrollment, 2024, California Department of ConservationData sources are merged by Topic Area, and this dataset counts the number of overlapping Topic Areas for impacted locales in the region (Farmland, Williamson Act parcels). Scores range from 0 to 1. This dataset is accompanied by similar versions for Climate Hazards and Habitat, as well as an overall summary of overlaps amongst the topic areas within the three datasets. The following datasets are a subset of the Green Region Resource Areas (GRRAs). The GRRAs dataset consists of information on natural hazards, sensitivities, farmland, tribal nations, military installations, and natural assets. The GRRA datasets are developed to support coordinating regional land use with transportation strategies and address the region’s growth and sustainability challenges to protect the region’s natural assets and reduce future risks from climate change. The following datasets are included within Agriculture:Farmland - The Farmland Mapping and Monitoring Program (FMMP) (2022) provides a statewide inventory of agricultural land, mapping farmland and grazing land at a minimum unit of 10 acres. For the purposes of mapping GRRAs, only prime farmland, farmland of statewide importance, farmland of local importance, unique farmland, and grazing land were factors carried through to the dataset.Williamson Act parcels - The California Williamson Act Enrollment (2024), which identifies lands under Williamson Act and Farmland Security Zone contracts, though it does not necessarily provide information as to the location of Agricultural Preserves within each county.Data Sources: Southern California Association of Governments (SCAG); California Williamson Act Enrollment, 2024, California Department of Conservation; Farmland Mapping and Monitoring Program (FMMP), 2022, California Department of Conservation.
Priority_Development_poly_scag

For Connect SoCal 2050, SCAG developed three categories of Priority Areas, which are High Priority, Medium Priority, and Low Priority. In order to determine what areas in the region fall within those categories, SCAG used eight components, or ingredients, which are measured at the Scenario Planning Zone (SPZ) geography. Data from PDA components can be used individually or combined in order to identify areas with a suitable set of travel and location characteristics. The eight components include: Walkable destinations – everyday destinations within 15 minutes of walking Intersection density – reflects improved walkability that may not be captured by a time threshold Bikeable destinations – everyday destinations within 15 minutes on bike Transit access – Regional jobs within 45 minutes during AM peak (2019 base year and 2050 plan year) Transit Priority Areas – Major transit stops + ½-mi buffer Mobility Hubs – at least two transportation modes that connect and interact with one another Bike Network – Regional existing and planned bike network (excluding Class III) Dedicated Transit Lanes – Regional dedicated transit lanes network For Connect SoCal 2050 growth visioning, all eight PDA components are mathematically combined with the objective of minimizing the per-capita Vehicle Miles Traveled (VMT) of residents in a PDA. Using a regression analysis, an ArcGIS suitability surface, and applied weights, each SPZ in the region receives a suitability score of 1-10 to reflect, in general, the degree to which residents in a PDA might be expected to have lower per-capita VMT. The higher the suitability score, the greater the impact of reducing VMT per-capita. Since the suitability score is a continuous measure based on regional data, it is well-suited for some planning applications such as preliminary regional growth visioning and VMT-based planning. However, other applications may need a specific, discrete area. Local jurisdictions are encouraged to use their own combination of eight PDA components, or a suitability score cutoff (e.g., the top 25 percent of SPZs in a jurisdiction) for their own strategies or programs. As a starting point, SCAG has also produced thresholds categorizing the SPZs based on their suitability scores. These thresholds categorize the data in to High Priority, Medium Priority, and Low Priority areas. Areas outside these thresholds are not considered PDAs.
City_Boundary_scag

This is SCAG’s 2024 city boundary data (v.1.0), updated as of March, 2025, including the boundaries for each of the 191 cities and 6 county unincorporated areas in the SCAG region. The original city boundary data was obtained from county LAFCOs to reflect the most current updates and annexations to the city boundaries. This data will be further reviewed and updated as SCAG continues to receive feedbacks from LAFCOs, subregions and local jurisdictions.
TruckRoute_line_scag

The Southern California Regional Truck Route Shapefile (RTRS) has been compiled using the general plans and municipal codes of the jurisdictions in areas of each of the six County Transportation Commissions (Imperial, Orange, Los Angeles, Riverside, San Bernardino, and Ventura). SCAG has developed standard data fields based on information found in local general plans and municipal codes to identify roadways and roadway segments that are designated as truck routes by the cities. The RTRS includes truck routes on existing local facilities. Jurisdictions may use various operational criteria to define truck routes including number of axles, time of the day, weight-related restrictions, like minimum and maximum weights, gross and net weight limits, are the most commonly used criterion. Existing truck routes are those that are specifically identified as facilities where trucks are generally permitted or restricted during all times, or the majority, of the day. It should be recognized that most jurisdictions permit truck to travel on any roadway segment with clear limitations to their movement (e.g., direct delivery to locations not on a designated route). Each route is at the discretion of its jurisdiction. Confirmation and updates to the RTRS will allow SCAG member cities to understand and develop policy regarding intracity and intercity truck route connections and gaps, and access to relevant land uses within jurisdictional boundaries. (Last updated time: Aug 3, 2023)
SED_TAZTier2_Prelim_poly_scag

The preliminary growth forecast for Connect SoCal 2050 is developed for the period of 2024-50 and at multiple spatial scales. The demographic and economic forecast of population, households, and employment is first developed at the regional and county levels and was guided by SCAG’s demographic panel of experts. County-level household and employment growth is then disaggregated to the jurisdictional and TAZ levels. This dataset reflects the preliminary TAZ-level household and employment growth over 2024-50 developed by SCAG following the guiding principles of being rooted in local planning policies, aligned with state policy, and steered by a regional vision. This data will be reviewed and edited by local jurisdictions during the Local Data Exchange process with an input deadline of November 20, 2026. As such these plan data represent a snapshot in time and may not reflect subsequently available information. Please contact local jurisdictions directly to ensure the most up-to-date planning, development, and construction information. TAZ-level growth projection data are a tool to understand how regional policies and strategies may be reflected at the neighborhood level. They reflect one set of future growth assumptions that would be consistent with the Sustainable Communities Strategy (SCS); however, there are other development assumptions and growth patterns that would also be consistent with the SCS. As such they may not be used to show project inconsistency with Connect SoCal 2050. TAZ-level growth forecast data are advisory and non-binding and there is no obligation by a jurisdiction to change its land use policies, General Plan, or regulations to be consistent with them.
SB 79 Transit-Oriented Development (TOD) Zones and Tiers

The SB 79 TOD Zones and Tiers dataset is a polygon feature class representing transit-oriented development zones associated with qualifying transit stops and stations within the SCAG region. The dataset was developed using statutory criteria established under SB 79 and informed by advisory guidance issued by the California Department of Housing and Community Development (HCD). Source data includes GTFS data, transit agency-provided geospatial datasets, validated station shapefiles, and SCAG regional planning datasets. The layer includes TOD zones and tiers associated with qualifying heavy rail, light rail, commuter rail, and eligible bus rapid transit (BRT) facilities, where applicable. TOD zones were generated using defined buffer distances associated with SB 79 eligibility criteria, including 200-foot adjacency areas, quarter-mile zones, and half-mile zones. SCAG conducted regional-level quality control and spatial validation; however, the dataset is intended for planning and informational purposes only and may be updated as transit service data, infrastructure projects, or state guidance evolve.
SB 79 Transit-Oriented Development (TOD) Stops and Tiers

The SB 79 TOD Stops and Tiers dataset is a point feature class representing qualifying transit stops and stations within the SCAG region. The dataset was developed using statutory criteria established under SB 79 and informed by advisory guidance issued by the California Department of Housing and Community Development (HCD). Source data includes General Transit Feed Specification (GTFS) data, transit agency-provided geospatial datasets, validated station shapefiles, and SCAG regional planning datasets. The layer includes qualifying heavy rail, light rail, commuter rail, and eligible bus rapid transit (BRT) facilities, where applicable. Each stop or station was assigned an SB 79 tier classification based on service characteristics and applicable statutory criteria. SCAG conducted regional-level quality control and spatial validation; however, the dataset is intended for planning and informational purposes only and may be updated as transit service data, infrastructure projects, or state guidance evolve.
California Assembly Districts - SCAG Region

SCAG region California Assembly districts data are administrative boundaries updated with 2020 US Census in accordance to the policy and procedure that guide redistricting by the appropriate federal authorities. Electoral boundaries must be updated after every decennial census, as required by law.. These data also include contact attribute information for each elected official in the feature file. They are intended for planning and reference purposes, These administrative boundary data are consistent with federally approved boundaries and have been reviewed and verified by SCAG Government Affairs Officers for its attribute information. Note, these data are clip to the SCAG region boundaries.
State Congressional Districts - SCAG Region

SCAG region California Congressional districts data are administrative boundaries updated with 2020 US Census in accordance to the policy and procedure that guide redistricting by the appropriate federal authorities. Electoral boundaries must be updated after every decennial census, as required by law.. These data also include contact attribute information for each elected official in the feature file. They are intended for planning and reference purposes, These administrative boundary data are consistent with federally approved boundaries and have been reviewed and verified by SCAG Government Affairs Officers for its attribute information. Note, these data are clip to the SCAG region boundaries.