This dataset contains counts of live births for California counties based on information entered on birth certificates. Final counts are derived from static data and include out of state births to California residents, whereas provisional counts are derived from incomplete and dynamic data. Provisional counts are based on the records available when the data was retrieved and may not represent all births that occurred during the time period.

The final data tables include both births that occurred in California regardless of the place of residence (by occurrence) and births to California residents (by residence), whereas the provisional data table only includes births that occurred in California regardless of the place of residence (by occurrence). The data are reported as totals, as well as stratified by parent giving birth's age, parent giving birth's race-ethnicity, and birth place type. See temporal coverage for more information on which strata are available for which years.

This dataset contains counts and rates (per 1,000,000 residents) of asthma deaths among Californians statewide and by county. The data are stratified by age group (all ages, 0-17, 18+) and reported for 3-year periods. The data are derived from the California Death Statistical Master Files, which contain information collected from death certificates. All deaths with asthma coded as the underlying cause of death (ICD-10 CM J45 or J46) are included.

A. SUMMARY This dataset includes data on a variety of substance use services funded by the San Francisco Department of Public Health (SFDPH). This dataset only includes Drug MediCal-certified residential treatment, withdrawal management, and methadone treatment. Other private non-Drug Medi-Cal treatment providers may operate in the city. Withdrawal management discharges are inclusive of anyone who left withdrawal management after admission and may include someone who left before completing withdrawal management.

This dataset also includes naloxone distribution from the SFDPH Behavioral Health Services Naloxone Clearinghouse and the SFDPH-funded Drug Overdose Prevention and Education program. Both programs distribute naloxone to various community-based organizations who then distribute naloxone to their program participants. Programs may also receive naloxone from other sources. Data from these other sources is not included in this dataset.

Finally, this dataset includes the number of clients on medications for opioid use disorder (MOUD).

The number of people who were treated with methadone at a Drug Medi-Cal certified Opioid Treatment Program (OTP) by year is populated by the San Francisco Department of Public Health (SFDPH) Behavioral Health Services Quality Management (BHSQM) program. OTPs in San Francisco are required to submit patient billing data in an electronic medical record system called Avatar. BHSQM calculates the number of people who received methadone annually based on Avatar data. Data only from Drug MediCal certified OTPs were included in this dataset.

The number of people who receive buprenorphine by year is populated from the Controlled Substance Utilization Review and Evaluation System (CURES), administered by the California Department of Justice. All licensed prescribers in California are required to document controlled substance prescriptions in CURES. The Center on Substance Use and Health calculates the total number of people who received a buprenorphine prescription annually based on CURES data. Formulations of buprenorphine that are prescribed only for pain management are excluded.

People may receive buprenorphine and methadone in the same year, so you cannot add the Buprenorphine Clients by Year, and Methadone Clients by Year data together to get the total number of unique people receiving medications for opioid use disorder.

For more information on where to find treatment in San Francisco, visit findtreatment-sf.org. 

B. HOW THE DATASET IS CREATED This dataset is created by copying the data into this dataset from the SFDPH Behavioral Health Services Quality Management Program, the California Controlled Substance Utilization Review and Evaluation System (CURES), and the Office of Overdose Prevention.

C. UPDATE PROCESS Residential Substance Use Treatment, Withdrawal Management, Methadone, and Naloxone data are updated quarterly with a 45-day delay. Buprenorphine data are updated quarterly and when the state makes this data available, usually at a 5-month delay.

D. HOW TO USE THIS DATASET Throughout the year this dataset may include partial year data for methadone and buprenorphine treatment. As both methadone and buprenorphine are used as long-term treatments for opioid use disorder, many people on treatment at the end of one calendar year will continue into the next. For this reason, doubling (methadone), or quadrupling (buprenorphine) partial year data will not accurately project year-end totals.

E. RELATED DATASETS Overdose-Related 911 Responses by Emergency Medical Services Unintentional Overdose Death Rates by Race/Ethnicity Preliminary Unintentional Drug Overdose Deaths

This dataset displays the locations of all the public libraries in the state of California. The data included is the name of the library, name of the library system, library's address, phone, and lat/lon coordinates. The data came from publiclibraries.com which is a updated directory of all the public libraries throughout the United States.

Annual number of interprovincial migrants by province of origin and destination, Canada, provinces and territories.

This point dataset depicts results across three scenarios from a draft initial screening tool to inform how to prioritize orphan wells in California for state abandonment. The three scenarios demonstrate the impact weighing different criteria have on well rankings.This data maps 5,287 wells using their coordinates recorded in WellSTAR. Though there are a total of 5,331 wells identified on the screening and prioritization inventory, 44 of these do not have known surface locations and cannot be mapped. Data is static, last updated September 2022. The three scenarios depicted in the application are as follows:Scenario 1: Impact on Disadvantaged CommunitiesScenario 1 aims to prioritize wells that are located within disadvantaged communities and may present risks to those communities if left unplugged. In this scenario, information from CalEnviroScreen and SB535 Disadvantaged Communities data are the only criteria that are weighted up to five points, with the exception of the presence of freshwater.Scenario 2: Proximity to Communities and Sensitive EnvironmentsScenario 2 places greater emphasis on criteria that indicate the well is located near people or critical or sensitive environments that may be at risk due to orphan wells remaining unaddressed, and also emphasizes if that well is located in a disadvantaged community. It uses the same scoring as Scenario 1 but allows up to five points to each the following well location factors: whether the well is critical, in an urban area, or is environmentally sensitive.Scenario 3: Well ConditionWhen thinking about the risk an orphan well poses to California communities, that is largely driven by two factors: what is nearby and susceptible to that risk, and the physical state of the orphan well itself. Scenarios 1 and 2 emphasize the first factor, while Scenario 3 aims to emphasize criteria that may indicate the well is in a poor state and has a high likelihood of contaminating groundwater or leaking.More detail about the points associated with each criterion is in a Screening Prioritization Methodology document that will be available on CalGEM's website.Additional resources: Contact CalGEMOrphanWells@conservation.ca.gov for further questions.

Comprehensive demographic dataset for Pacific Palisades, Los Angeles, CA, US including population statistics, household income, housing units, education levels, employment data, and transportation with year-over-year changes.

Biomass estimates for shrubland-dominated ecosystems in southern California have, to date, been limited to national or statewide efforts which can underestimate the amount of biomass; are limited to one-time snapshots; or estimate aboveground live biomass only. We developed a consistent, repeatable method to assess four vegetative biomass pools from 2001-2023 for our southern California study area (totaling 6,441,208 ha), defined by the Level IV Ecoregions (Bailey 2016) that intersect with USDA Forest Service lands (Figure 1). We first generated aboveground live biomass estimates (Schrader-Patton and Underwood 2021), and then calculated belowground, standing dead, and litter biomass pools using field data in the peer-reviewed literature (Schrader-Patton et al. 2022) (Figure 2). Over half (52.3%) of the study area is shrubland, and our method accounts for three post-fire shrub regeneration strategies: obligate resprouting, obligate seeding, and facultative seeding shrubs. We also generat..., METHODS We generated spatial estimates of above ground live biomass (AGLBM, in kg/m2) for 2000-2021 for our southern California study area. The study area, totaling 6,441,208 ha, is defined by the 42 Level IV Ecoregions (Bailey 2016) that intersect the four southern US Department of Agriculture (USDA) National Forests in southern California (Figure 1). We created biomass raster layers (30m spatial resolution) by modeling a set of covariates (Normalized Difference Vegetation Index [NDVI], precipitation, solar radiation, actual evapotranspiration, aspect, slope, climatic water deficit, elevation, flow accumulation, landscape facets, hydrological recharge and runoff, and soil type) to predict AGLBM using 766 field plots of biomass from the USDA Forest Service Forest Inventory and Analysis (FIA); the Landfire Reference Database (LFRDB) plot data; and other research plots. The dates of field data spanned 2001-2012. The NDVI raster data were derived from Landsat TM/ETM+/OLI multispectral sate..., USAGE NOTES The biomass raster layers are packaged in zip files for each year using the following naming structure: WWETAC_UCD_SoCal_Biomass_XXXX.zip Where XXXX is the year of the biomass estimates. Within each zip file are the following files: WWETAC_UCD_

https://doi.org/10.5061/dryad.qz612jmjt

Description of the data and file structure

Data description:

Annual spatial estimates of above ground live, standing dead, litter, and below ground biomass (g/m2) for 2001-2023 for southern California.

These raster layers were created by modeling field plot biomass to covariates, including precipitation, remotely sensed NDVI, and geophysical (slope, aspect, elevation) data.

For a more complete description, visit https://doi.org/10.5061/dryad.qz612jmjt

The biomass raster layers are packaged in zip files for each year using the following naming structure:

WWETAC_UCD_SoCal_Biomass_XXXX.zip

Where XXXX is the year of the biomass estimates. Within each zip file are the following files:

WWETAC_UCD_ _XXXX_g_m2.tif

Where is either above_ground, standing_dead, litter, or below_ground and XX...

This dataset shows the type of transportation people use to go to work. The information is mapped according to place of residence. The data is part of the Census Transportation Planning Package (CTPP), and is the result of a cooperative effort between various groups including the State Departments of Transportation, U.S. Census Bureau, and the Federal Highway Administration. The data is a special tabulation of responses from households completing the decennial census long form. The data was collected in 2000 and is shown at tract level.

This table contains data on the annual miles traveled by place of occurrence and by mode of transportation (vehicle, pedestrian, bicycle), for California, its regions, counties, and cities/towns. The ratio uses data from the California Department of Transportation, the U.S. Department of Transportation, and the U.S. Census Bureau. The table is part of a series of indicators in the Healthy Communities Data and Indicators Project of the Office of Health Equity. Miles traveled by individuals and their choice of mode – car, truck, public transit, walking or bicycling – have a major impact on mobility and population health. Miles traveled by automobile offers extraordinary personal mobility and independence, but it is also associated with air pollution, greenhouse gas emissions linked to global warming, road traffic injuries, and sedentary lifestyles. Active modes of transport – bicycling and walking alone and in combination with public transit – offer opportunities for physical activity, which has many documented health benefits. More information about the data table and a data dictionary can be found in the About/Attachments section.

This datasets displays the locations of all recorded earthquakes of a magnitude of 1 or greater around the world from the period of 5.12.08 to 5.19.08. The findings are from the US Geological Survey (USGS). Earthquake information is extracted from a merged catalog of earthquakes located by the USGS and contributing networks. Earthquakes will be broadcast within a few minutes for California events and within 30-minutes for world-wide events.

Rank, number of deaths, percentage of deaths, and age-specific mortality rates for the leading causes of death, by age group and sex, 2000 to most recent year.

High-Occupancy Vehicle (HOV) lane, also known as the carpool or diamond lane, is a traffic management strategy to promote and encourage ridesharing; thereby alleviating congestion and maximizing the people-carrying capacity of California highways. HOV lane is usually located on the inside (left) lane and is identified by signs along the freeway and white diamond symbols painted on the pavement. In Northern California, HOV lanes are only operational on Monday thru Friday during posted peak congestion hours, for example: between 6 a.m. - 10 a.m. and 3 p.m. - 7 p.m. All other vehicles may use the lanes during off-peak hours. This is referred to as "part-time" operation. In Southern California, HOV lanes are generally separated from other lanes by a buffer zone. The HOV lanes are in effect 24-hours a day, 7-days a week, referred to as "full-time" operation. The locations of the HOV system are based on postmiles derived from an excel spreadsheet maintained by Caltrans, Division of Traffic Operations, Office of Traffic Management. High-Occupancy Vehicle Systems Page

This dataset displays the locations of all the Adult Correctional Facilities in the state of California as of 3.2008. This includes both female and male institutions.

Crime severity index (violent, non-violent, youth) and weighted clearance rates (violent, non-violent), Canada, provinces, territories and Census Metropolitan Areas, 1998 to 2024.