- API data.lacounty.gov | Last Updated 2017-07-19T15:16:05.000Z
National Fire Incident Reporting System closed records for the period January 1, 2004 through December 31, 2014
- API data.lacounty.gov | Last Updated 2019-10-01T14:01:26.000Z
Account level electricity usage data (2017) obtained from LA County. Data is sorted by rate type to exclude streetlights, traffic signals, and water pumps. Electricity and natural gas usage data disaggregated by service city location.
- API data.lacounty.gov | Last Updated 2019-10-01T21:14:22.000Z
Grades, beach location and analysis from Heal the Bay's Beach Report Card was used (2013-2018), which uses a 12-month grading period from April to March. Seasonal patterns of the most recent year’s grades (2017-2018), as well as trends over the last five years were used. As defined in Assembly Bill 411 in California, the summer dry grading period is from April through October. The winter dry weather grading period is from November through March. The year-round wet weather conditions are graded from April through March. Values may not add up to exactly 100% due to rounding.
- API data.lacounty.gov | Last Updated 2019-02-19T15:33:43.000Z
A Portrait of Los Angeles County is an in-depth look at how residents of America’s most populous county are faring in three fundamental areas of life: health, access to knowledge, and living standards. The Human Development Index – a composite measure of health, education and income – is the featured measure and is disaggregated by gender, race and ethnicity, gender by race and ethnicity, major Asian and Latino subgroups, and nativity at the county level. The index is also presented for 106 cities and unincorporated areas within the county, 35 City of Los Angeles Community Plan Areas and 15 City Council Districts. This dataset and the accompanying report is intended for policymakers, planners, service providers, advocates, journalists, students and anyone with an interest in exploring well-being outcomes among the many communities that make up Los Angeles County.
- API data.lacounty.gov | Last Updated 2019-05-10T16:22:43.000Z
This data set lists incidents where at least one person was detained or arrested and documented per AB953 requirements. Each row represents once public contact incident involving one or more persons.
- API data.lacounty.gov | Last Updated 2019-12-05T16:42:18.000Z
This layer contains the 2011 Official Supervisorial District Boundary for the County of Los Angeles, drawn at the parcel level, per Assessor parcels and the County Cadastral Landbase. Purpose: Supervisorial District Boundary maps for the County of Los Angeles Supplemental Information: Adopted September 27, 2011 – Another entry on this portal includes redistricting information from the Districts’ adoption in 2011, along with boundaries drawn at the TIGER street map level. Per Sec. 21500 of the California Elections Code, Supervisor District boundaries are adjusted following each decennial federal census. Published in the County Code under Title 1, Chapter 1.08, boundary descriptions are based on census tracts and city boundaries at the time of adoption. Metes and Bounds descriptions were prepared by the Department of Public Works. 2010 Census Blocks provide more information and GIS data downloads on this portal. Census tracts listed in the County Code correspond to the first six digits of the GIS attribute CTCB10.
- API data.lacounty.gov | Last Updated 2019-10-01T21:59:01.000Z
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.
- API data.lacounty.gov | Last Updated 2018-03-08T21:12:57.000Z
This layer shows the spatial extent of past and currently pending permit cases (e.g., CUPs, yard modifications, plot plan reviews, environmental assessments, etc). These cases were drawn from the legacy CTRACK database, and are updated on a monthly basis from the currently active KIVA database. Cases mined from both databases reflect the wide range of land use issues addressed and administered by the LA County Dept of Regional Planning, both past and present. Most cases are parcel-based, although some pertain to subdivisions or other planning boundaries. Note that Notices of Violation (pertaining to Subdivision Map Act Section 66499.36) file numbers are also featured in this layer.
- API data.lacounty.gov | Last Updated 2019-10-30T15:27:58.000Z
- API data.lacounty.gov | Last Updated 2019-10-01T21:56:14.000Z
Average Vehicle Ridership (AVR) is the figure derived by dividing the employee population at a given worksite that reports to work weekdays between 6:00 a.m. and 10:00 a.m. by the number of vehicles driven by these employees commuting from home to the worksite during these hours. The AVR is calculated using a weekly averaging period. The applicable employee population is multiplied by the number of weekdays in the selected averaging period, then divided by the total number of vehicles driven by these employees to the worksite during the same period. The survey is administered to each county department by location. The calculated AVR for each responding location was included in the data from the CSO (who received the data from the Department of Human Resources) for years 2012-2018, except 2017. An AVR of “1” means that every employee drove alone; therefore a greater AVR is a better outcome. The target AVR is set for each county department, and targets range mostly from 1.5-1.75. For each year, a weighted average for the total AVR across county departments was calculated to account for the varied number of employees at each location and graphically presented the data.