AndreaBozzo/ceres-open-data-index huggingface dataset:
Growth Prioritization Scale at TAZ-level -SCAG Region

Field Description/Field Values Description: COUNTY – County the jurisdiction is located in COUNTY_ID – County ID the jurisdiction is located in CITY – Jurisdiction name CITY_ID – Jurisdiction ID number TIER2 – Tier2 Transportation Analysis Zone CT2 – City Tier 2 Transportation Analysis Zone ACRES – Size of City/Tier2 TAZ, in acres 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. 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> 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) 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).
Neighborhood Mobility Areas (NMAs) -SCAG Region

Neighborhood Mobility Areas (NMAs) are areas that focus on creating, improving, restoring and enhancing safe and convenient connections to schools, hospitals, shopping, services, places of worship, parks, greenways and other destinations. SCAG uses four empirical measures in its initial identification of NMAs: 1) Intersection density, 2) Low-speed streets, 3) Land use entropy (mixing), and 4) Accessibility to amenities within 1-mile using street network distances. In order to weight these four measures equally, each was converted to a z-score at the TAZ-level. A z-score of zero indicates that a TAZ is at the regional average for that measure – positive scores reflect above-average TAZs, and negative scores reflect below average TAZs. A composite score was developed for each TAZ by summarizing the z-scores for all four measures. Based on the results of this process, SCAG took the top 25 percent performing TAZs and identified them as NMAs, to reflect the “top one-fourth” of the region for neighborhood mobility. These preliminary NMAs were then provided to local jurisdictions for review and refinement. Field Description/Field Values Description: COUNTY – County the jurisdiction is located in COUNTY_ID – County ID the jurisdiction is located in CITY – Jurisdiction name CITY_ID – Jurisdiction ID number TIER2 – Tier2 Transportation Analysis Zone CT2 – City Tier 2 Transportation Analysis Zone
SED City-Level Estimates -SCAG Region

This is SCAG’s 2019 city boundary data (v.1.0), updated as of July 6, 2021, 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 during Connect SoCal 2024 Local Data Exchange (LDX) process. This database includes draft household and employment growth projections for Connect SoCal 2024. Field Description/Field Values Description: OBJECTID - Unique ID for the object COUNTY – County the jurisdiction is located in COUNTY_ID – County ID the jurisdiction is located in CITY – Jurisdiction name CITY_ID – Jurisdiction ID number ACRES – Acres of object SQMI – Square miles of object YEAR – Year jurisdiction became incorporated NOTES - Notes Shape_Leng – Length of object, duplicate XY_Ratio – latitude and longitude ratio LABEL – Official name of jurisdiction CNTYABBR – County abbreviation Shape_Le_1 – Length of object, duplicate SubRegions – Subregion the jurisdiction is located in SubRegAbv – Abbreviation of subregion SHAPE_Length - Length of the object SHAPE_Area – Area of the object HH_19 – Total Households by jurisdiction 2019 (rounded to the nearest 100th) HH_50 – Total Households by jurisdiction 2050 (rounded to the nearest 100th) HH_19_50 – Total Household growth by jurisdiction 2019-2050 (rounded to the nearest 100th) EMP_19 – Total Employment by jurisdiction 2019 (rounded to the nearest 100th) EMP_50 – Total Employment by jurisdiction 2050 (rounded to the nearest 100th) EMP_19_50 – Total Employment growth by jurisdiction 2019-2050 (rounded to the nearest 100th)
SED TAZ-Tier2-Level Estimates -SCAG Region

Geographic intersect of Tier 2 Transportation Analysis Zones (TAZs) and local-level jurisdictional boundaries (i.e. cities and unincorporated county areas) in the SCAG region. This intersect is informally known within SCAG as “City Tier 2 TAZ” Field Description/Field Values Description: fid - Unique ID for the object COUNTY – County the jurisdiction is located in COUNTY_ID – County ID the jurisdiction is located in CITY – Jurisdiction name CITY_ID – Jurisdiction ID number TIER2 – Tier2 Transportation Analysis Zone CT2 – City Tier 2 Transportation Analysis Zone ACRES – Acres of object Shape_Leng – Length of Shape HH_19 – Total Households by City Tier 2 Transportation Analysis Zone 2019 HH_35 – Total Households by City Tier 2 Transportation Analysis Zone 2035 HH_50 – Total Households by City Tier 2 Transportation Analysis Zone 2050 HH_19_50 – Total Household growth City Tier 2 Transportation Analysis Zone 2019-2050 EMP_19 – Total Employment by City Tier 2 Transportation Analysis Zone 2019 EMP_35 – Total Employment by City Tier 2 Transportation Analysis Zone 2035 EMP_50 – Total Employment by City Tier 2 Transportation Analysis Zone 2050 EMP_19_50 – Total Employment growth City Tier 2 Transportation Analysis Zone 2019-2050 HH19_Densi – 2019 Household Density of City Tier 2 Transportation Analysis Zone by square miles HH50_Densi – 2050 Household Density of City Tier 2 Transportation Analysis Zone by square miles EMP19_Dens – 2019 Employment Density of City Tier 2 Transportation Analysis Zone by square miles EMP50_Dens – 2050 Employment Density of City Tier 2 Transportation Analysis Zone by square miles SQMiles – Square miles of object HH1950_Den – Household Growth Density between 2019-2050 of City Tier 2 Transportation Analysis Zone by square miles EMP1950_De – Employment Growth Density between 2019-2040 of City Tier 2 Transportation Analysis Zone by square miles SHAPE_Length - Length of the object SHAPE_Area – Area of the object
Racial Equity Current Conditions for SCAG Region

This dataset contains several demographic and transportation-related statistics by SCAG County and by race/ethnicity. Demographic data primarily relies on data from the U.S. Census Bureau American Community Survey 5-Year Public User Microdata Sample, 2018-2022. Other data sources include SCAG Connect SoCal 2024, Healthy Places Index 3.0, U.S. Department of Housing and Urban Development Point-In-Time estimates, National Equity Atlas, and Transportation Injury Mapping System. Due to the differences in racial/ethnicity groups reported by each of these sources, this dataset provides all possible race/ethnicity group names and enters a "-1" value where information is not provided for that source. Updates to this dataset are expected annually, dependent on the data source. For all data sourced from Connect SoCal 2024, updates will be made with the adoption of the next Regional Transportation Plan/Sustainable Communities Strategy. For questions about methodology and updates, please e-mail environmentaljustice@scag.ca.gov. With SCAG's Racial Equity Baseline Conditions Report, this dataset is used to help stakeholders develop a deeper understanding of disparities and monitor progress toward addressing them by highlighting past transportation and housing policies and practices and providing a snapshot of current existing inequitable conditions. The latest version of the Racial Equity Baseline Conditions Report (2022) is available here: https://scag.ca.gov/sites/main/files/file-attachments/2022racialequitybaselineconditionsreport_final.pdf
Jobs-Housing Fit for Cities in SCAG region for Connect SoCal 2024

The dataset contains information on the jobs-housing fit in cities across six counties in the Southern California Association of Governments (SCAG) region between 2021-2023. This dataset includes the data used to develop Map 6 for the Connect SoCal 2024 Equity Analysis Technical Report, adopted on April 4, 2024. The dataset includes two fields to describe jobs-housing fit (JHFIT) based on information from the Longitudinal Employer-Household Dynamics (LEHD) Origin-Destination Employment Statistics (LODES) 8.0. "Jobs-Housing Fit All" is measured as the ratio between the total number of jobs and housing units in a city. "Jobs-Housing Fit Low" is measured as the ratio between the total number of low wage jobs and affordable rental housing units in a city. In this dataset, "low wage jobs" is defined as jobs that earn $1,250/month or less and "affordable rental units" as rental units where a household whose income is at or below 80 percent of the Area Median Income can live without spending more than 30 percent of their income.
Natural Community Conservation Plan (NCCP) Boundaries

This dataset contains Natural Community Conservation Plan (NCCP) and selected Habitat Conservation Plan (HCP) boundaries in California. This layer is unofficial and may contain boundaries that are no longer active. Please confirm the status of boundaries before using them in maps and analyses. The NCCP boundaries are based on reported boundaries from official CDFW documents. Some boundaries may be estimated. Criteria for selection of HCPs: Projects greater than 3000 acres, multi-species, and not low effect.
Jobs-Housing Fit for Census Tracts in SCAG region for Connect SoCal 2024

The dataset contains information on the jobs-housing fit in census tracts across six counties in the Southern California Association of Governments (SCAG) region between 2021-2023. This dataset includes the data used to develop Map 7 for the Connect SoCal 2024 Equity Analysis Technical Report, adopted on April 4, 2024. The dataset includes two fields to describe jobs-housing fit (JHFIT) based on information from the Longitudinal Employer-Household Dynamics (LEHD) Origin-Destination Employment Statistics (LODES) 8.0. "Jobs-Housing Fit All" is measured as the ratio between the total number of jobs and housing units in a census tract. "Jobs-Housing Fit Low" is measured as the ratio between the total number of low wage jobs and affordable rental housing units in a census tract. In this dataset, "low wage jobs" is defined as jobs that earn $1,250/month or less and "affordable rental units" as rental units where a household whose income is at or below 80 percent of the Area Median Income can live without spending more than 30 percent of their income.
Gentrifying neighborhoods between 1990 and 2000 (2000 Census Tracts) for Connect Socal 2024

This dataset includes the data used to develop Maps 8 and 9 for the Connect SoCal 2024 Equity Analysis Technical Report, adopted on April 4, 2024. The dataset includes a field with information about gentrification during the time period 1990-2000 in the SCAG region based on decennial census data. In this dataset, gentrification is defined as: (1) tract median household income in the bottom 40 percent of the countywide income distribution at the beginning of the period, (2) increase in college-educated people (as the percentage of population aged 25 years and older at the beginning of the period) in the top 25 percent of the countywide distribution, (3) no less than 100 people aged 25 years at the beginning of the period, and (4) over 50 percent of the tract land area within a census defined urbanized area. This dataset was prepared to share more information from the maps in Connect SoCal 2024 Equity Analysis Technical Report. For more details on the methodology, please see the methodology section(s) of the Equity Analysis Technical Report: https://scag.ca.gov/sites/main/files/file-attachments/23-2987-tr-equity-analysis-final-040424.pdf?1712261887 For more details about SCAG's models, or to request model data, please see SCAG's website: https://scag.ca.gov/data-services-requests.
Gentrifying neighborhoods between 2000-2019 (2010 Census Tracts) and Evictions for Connect Socal 2024

This dataset includes the data used to develop Maps 8 and 9 for the Connect SoCal 2024 Equity Analysis Technical Report, adopted on April 4, 2024. The dataset includes two fields with information about gentrification during two time periods (2000-2010 and 2010-2019) in the SCAG region based on ACS data. In this dataset, gentrification is defined as: (1) tract median household income in the bottom 40 percent of the countywide income distribution at the beginning of the period, (2) increase in college-educated people (as the percentage of population aged 25 years and older at the beginning of the period) in the top 25 percent of the countywide distribution, (3) no less than 100 people aged 25 years at the beginning of the period, and (4) over 50 percent of the tract land area within a census defined urbanized area. The dataset also includes a field with information about areas with a high number of eviction filings between 2010 and 2018 in the SCAG region with data from the Eviction Lab. In this dataset, "high eviction filings" is defined as an average annual eviction filing rate over three. This dataset was prepared to share more information from the maps in Connect SoCal 2024 Equity Analysis Technical Report. For more details on the methodology, please see the methodology section(s) of the Equity Analysis Technical Report: https://scag.ca.gov/sites/main/files/file-attachments/23-2987-tr-equity-analysis-final-040424.pdf?1712261887 For more details about SCAG's models, or to request model data, please see SCAG's website: https://scag.ca.gov/data-services-requests.
Overlapping Climate Hazard Areas in the SCAG Region for Connect SoCal 2024

This dataset includes the data used to develop Map 10 for the Connect SoCal 2024 Equity Analysis Technical Report, adopted on April 4, 2024. The dataset includes binary indicators for seven climate hazard geographies in the SCAG region based on the latest available geographic information. The nine layers were overlaid using the ArcGIS union tool with a minimum of one and a maximum of six overlapping layers in the region. The climate hazard layers include: flooding, landslides, sea-level rise, extreme heat, wildfires, drought, and earthquake hazard zones. This dataset was prepared to share more information from the maps in Connect SoCal 2024 Equity Analysis Technical Report. To reduce the loading time for the complex geometry of this layer, the vertices were simplified with a tolerance of 1 foot. For more details on the methodology, please see the methodology section(s) of the Equity Analysis Technical Report: https://scag.ca.gov/sites/main/files/file-attachments/23-2987-tr-equity-analysis-final-040424.pdf?1712261887 For more details about SCAG's models, or to request model data, please see SCAG's website: https://scag.ca.gov/data-services-requests Climate Hazard Source Details: * Flood: 100-year and 500-year flood areas from Federal Emergency Management Agency (FEMA); 2017 * Landslide: Landslide zones from California Geological Survey (CGS), California Department of Conservation; California Department of Conservation, California Geological Survey Geologic Maps, Accessed June 2023 * Sea-level rise: areas vulnerable to 1 meter of sea-level rise from the Coastal Storm Modeling System (CoSMoS), U.S. Geological Survey (USGS); Coastal Storm Modeling System (CoSMoS) for Southern California, v3.0, Phase 2, 2018, USGS * Wildfire: Local Responsibility Areas and State Responsibility Areas that are moderate, high, and very high risk of wildfires from CalFire; Fire Hazard Severity Zones Local Responsibility Areas Maps, 2007/2008, Wildland Urban Interface, 2020, CAL FIIRE * Extreme heat: areas that are projected to experience more than two heat health events from 2031 to 2050 from the California Heat Assessment Tool, California Natural Resources Agency, Accessed June 2023 * Drought: areas that experienced severe, extreme, or exceptional drought during September 2014 from U.S. Drought Monitor, Accessed June 2023 * Earthquake: Alquist-Priolo Earthquake Fault Zones from the California Geological Survey (CGS), California Department of Conservation * Substandard Housing: Housing units without plumbing facilities, U.S. Census Bureau American Communities Survey 5-year estimates 2017-2021
SCAG SB 1000 Environmental Justice Tracker

The California Senate Bill 1000 Environmental Justice Elements Tracker provides the status of adopting environmental justice elements, policies, and goals into the general plans of local jurisdictions in the SCAG region. The dataset features details for each city and county on the status (adopted, drafted, scoping/initial outreach, or not started) of environmental justice in the general plan. The dataset is based on information available on each jurisdiction's public website. If there is a document available, the document title, type (i.e., environmental justice element or incorporated environmental justice goals and policies), date, and link are provided. Additionally, SCAG indicates whether there may be SB 535 Disadvantaged Communities within the jurisdiction's boundaries. For more details about SB 535 Disadvantaged Communities, please visit: https://oehha.ca.gov/calenviroscreen/sb535 SCAG staff updates the dataset annually, but interim updates can be made; please send corrections and questions to environmentaljustice@scag.ca.gov.
TransitPMTPHT

This dataset includes information about the level of impact Connect SoCal 2024 on transit travel distances and travel times in each Transportation Analysis Zone (TAZ) of the SCAG region based on 2050 estimates from SCAG's Travel Demand Model. This dataset was prepared to share more information from the maps in Connect SoCal 2024 Equity Analysis Technical Report. The development of this layer for the Equity Data Hub involved consolidating information, which led to a minor refinement in the normalization calculation to use Baseline population to normalize Baseline PHT/PMT and Plan population to normalize Plan PHT/PMT. In the Equity Analysis Technical Report, only Plan population is used to normalize the change in Transit PHT. This minor change does not affect the conclusions of the report. For more details on the methodology, please see the methodology section(s) of the Equity Analysis Technical Report: https://scag.ca.gov/sites/main/files/file-attachments/23-2987-tr-equity-analysis-final-040424.pdf?1712261887 For more details about SCAG's models, or to request model data, please see SCAG's website: https://scag.ca.gov/data-services-requests
Mobility Hubs - SCAG Region

The purpose of this dataset is to display and include the final results of SCAG's Mobility Hubs research and the prioritized locations that emerged from that project. SCAG’s mobility hubs strategy identifies mobility hub locations across the region and establishes a recommended baseline for a mobility hubs network. The data-driven methodology for screening and prioritizing mobility hubs analyzed a set of baseline network criteria using GIS analysis to determine candidate mobility hub’s locations based on proximity or inclusion within a zone. To divide the entire region into consistent land areas, counties were split into equally sized grid tiles with areas of a quarter mile by a quarter mile. The methodology established transit/rail stops as a baseline criterion, ensuring only locations containing at least one major stop were further evaluated. Other screening criteria included park and ride locations, proximity to major institutions such as sport venues, universities, and overlap with Priority Equity Communities. The screening process resulted in the identification of more than 700 potential mobility hub locations, which provided the baseline for a potential regional network. These mobility hub locations were then categorized by typology. In developing typologies, SCAG considered land use densities, transportation characteristics, and future population and employment growth. A total of six typologies were developed including: Downtown Hubs, Urban Hubs, Emerging Urban Hubs, Suburban and Rural Hubs, Equity Hubs, and Institutional Hubs. The expansive list of screened mobility hubs was then subjected to prioritization based on the following weighted criteria: transit access and connectivity, climate action, and equitable mobility. The prioritization process resulted in a halving of the prior list, to a total of 346 mobility hubs. Each of the mobility hub types has designated land uses based on definitions as well as transportation features. In addition to existing land use and transportation characteristics, each hub type includes a list of elements that are highly recommended, recommended, or not applicable (e.g., electric vehicle charging, bike share, etc.). It is important to note that design and access elements can vary significantly based on topography, property lines, and other local context factors. Data was gathered from Caltrans Park and Ride data, LA Metro boardings/alightings and bikeshare, and Homeland Infrastructure Foundation-Level Data (HIFLD). SCAG specific data included bike routes, livable corridors, microtransit service zones, SPZs 2016 and 2045, EV charging zones, airports, job centers, and Priority Equity Communities. Mobility hub identification was conducted in 2024.