VMT data in LA County 2005-2017
• Total VMT: VMT data for LA County was from the California Public Road Data annual report, published by Caltrans using data from the Highway Performance Monitoring System from years 2005-2017.
• VMT per capita: one-year census data was used to calculate the average daily VMT per capita for LA County over the same period (2005-2017).

High Quality Transit Areas (HQTAs) are defined as being within 1/2-mile of fixed guideway transit and/ or bus rapid transit stations with service every 15 minutes or less during peak commute times. SCAG published two shapefiles of (HQTAs): one for actual HQTAs in 2012, and one for planned HQTAs in 2040.

Population living in high quality transit areas was calculated by race and ethnicity of all people living within HQTAs using ArcGIS in both 2012 and 2040 based on 2017 population figures.

High Quality Transit Areas (HQTAs) are defined as being within 1/2-mile of fixed guideway transit and/ or bus rapid transit stations with service every 15 minutes or less during peak commute times. SCAG published two shapefiles of (HQTAs): one for actual HQTAs in 2012, and one for planned HQTAs in 2040.

Population living in high quality transit areas was calculated by race and ethnicity of all people living within HQTAs in both 2012 and 2040 based on 2017 population values.

Data sourced from the Transportation Injury Mapping System (TIMS) for all collisions in LA County from 2006-2015.
Data includes geocoded point data from the Transportation Injury Mapping System (TIMS) for all collisions in LA County from 2006-2015 (the latest year available). The data set was narrowed to collisions in which bicyclists or pedestrians were the victims and for fatalities and severe injuries for two reasons. This best addresses the goals of the County’s Vision Zero Plan. Also, TIMS data is less reliable for minor injuries and does not represent frequently unreported collisions.
The TIMS data was loaded into GIS and overlaid it on a map of LA County. Transparent points were used to convey what areas have had the highest number of collisions between 2006-2015.

Data sourced from the Transportation Injury Mapping System (TIMS) for all collisions in LA County from 2006-2015.
Data includes geocoded point data from the Transportation Injury Mapping System (TIMS) for all collisions in LA County from 2006-2015 (the latest year available). The data set was narrowed to collisions in which bicyclists or pedestrians were the victims and for fatalities and severe injuries for two reasons. This best addresses the goals of the County’s Vision Zero Plan. Also, TIMS data is less reliable for minor injuries and does not represent frequently unreported collisions.
The TIMS data was loaded into GIS and overlaid it on a map of LA County. Transparent points were used to convey what areas have had the highest number of collisions between 2006-2015.

Longitudinal-Employer Household Dynamics (LEHD) Origin-Destination Employment Statistics (LODES; 2015)

Distribution of housing and transportation costs as a percentage of income for selected geographies (2017). Calculations are based on 2015 ACS data and 2014 Longitudinal Employer-Household Dynamics database. Data includes Los Angeles County, City of Los Angeles, Los Angeles Region, San Diego County and San Francisco Region.

Wildfires 300 Acres and Great in LA County (2000 - 2018). Data from 2017 and 2018 is approximated from several sources, as CalFire has not yet released full reports for these years.

• Fire perimeter polygon data describes wildfire history from CAL FIRE (including timber fires 10 acres or greater, brush fires 30 acres and greater, and grass fires 300 acres or greater) and US Forest Service (10-acre minimum for fires since 1950). The fire perimeters dataset contains separate polygons for each burn occurrence. The dataset is updated periodically.
• Fire frequency data for 2000-2016 was sourced from CalFire annual reports. CalFire data for 2017 and 2018 was compiled using their ongoing reporting of large fires that can be manually inputted from their website.
• Fire hazard polygons are part of the California Fire Hazard Severity Zone Map Update Project. The “Very High” fire hazard layer in the digital Atlas can be accessed online, however the degrees of severity requires a separate analysis conducted by Dr. Tom Gillespie’s lab. This data will be publicly available through the biodiversity atlas and will be updated annually. However, because this analysis has not been published yet, the spatial data files are not available as of April 2019.

Classifies gross area of documented natural areas across LA County.
CalVeg only covers 69% of LA County and therefore the National Gap Analysis Project data must be combined to cover the remaining 31% of LA County.

Data describes total number of species recorded on iNaturalist and thus is not comprehensive, but merely a representation of what scientists have recorded to date. Candidate refers to plants and animals that have been studied and the U.S. Fish and Wildlife Service has concluded that they should be proposed for addition to the Federal endangered and Threatened species list. Extirpated refers to species that have disappeared from the region within the last 5 years.