AndreaBozzo/ceres-open-data-index huggingface dataset:
DCFS All Removals 2021

─────────┬─────────────────────────────────────────────────────────────────────────────────┬─────────────────────────────────────────────────── Variable │Description │Time Frame ─────────┼─────────────────────────────────────────────────────────────────────────────────┼─────────────────────────────────────────────────── Removals │Annual counts of children who were removed from home and placed in foster care. │Referral received dates from 1/1/2021 - 12/31/2021 ─────────┴─────────────────────────────────────────────────────────────────────────────────┴─────────────────────────────────────────────────── If an estimated child population for a CSA for any of the above categories (denominator) was 50 or less, the number of referrals or cases (numerator) for that ethnicity was reduced to zero. CSAs range in size and population, from the City of Long Beach to small unincorporated enclaves encompassing a few city blocks. Communities that had low overall populations might have a “Gossip Factor”, in which counts for all ethnicities were reduced to zero.
DCFS All Substantiated Referrals 2021

───────────────────────┬──────────────────────────────────────────────────────────┬─────────────────────────────────────────────────── Variable │Description │Time Frame ───────────────────────┼──────────────────────────────────────────────────────────┼─────────────────────────────────────────────────── Substantiated Referrals│Annual counts of children with substantiated referrals. │Referral received dates from 1/1/2021 - 12/31/2021 ───────────────────────┴──────────────────────────────────────────────────────────┴─────────────────────────────────────────────────── If an estimated child population for a CSA for any of the above categories (denominator) was 50 or less, the number of referrals or cases (numerator) for that ethnicity was reduced to zero. CSAs range in size and population, from the City of Long Beach to small unincorporated enclaves encompassing a few city blocks. Communities that had low overall populations might have a “Gossip Factor”, in which counts for all ethnicities were reduced to zero.
DCFS All Children Investigations 2021

──────────────┬──────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────┬────────────────────────────────────────────────── Variable │Description │Time Frame ──────────────┼──────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────┼────────────────────────────────────────────────── Investigations│Annual counts of children with child maltreatment allegations. If a child is referred multiple times in a specific year, they are counted more than once.│Referral received dates from 1/1/2021 - 12/31/2021 ──────────────┴──────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────┴────────────────────────────────────────────────── If an estimated child population for a CSA for any of the above categories (denominator) was 50 or less, the number of referrals or cases (numerator) for that ethnicity was reduced to zero. CSAs range in size and population, from the City of Long Beach to small unincorporated enclaves encompassing a few city blocks. Communities that had low overall populations might have a “Gossip Factor”, in which counts for all ethnicities were reduced to zero.
DCFS All Children Referrals 2021

─────────┬──────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────┬────────────────────────────────────────────────── Variable │Description │Time Frame ─────────┼──────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────┼────────────────────────────────────────────────── Referrals│Annual counts of children with child maltreatment allegations. If a child is referred multiple times in a specific year, they are counted more than once.│Referral received dates from 1/1/2021 - 12/31/2021 ─────────┴──────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────┴────────────────────────────────────────────────── If an estimated child population for a CSA for any of the above categories (denominator) was 50 or less, the number of referrals or cases (numerator) for that ethnicity was reduced to zero. CSAs range in size and population, from the City of Long Beach to small unincorporated enclaves encompassing a few city blocks. Communities that had low overall populations might have a “Gossip Factor”, in which counts for all ethnicities were reduced to zero.
CVA Drought Risk

Drinking Water - SAFER Dashboard Failing and At-Risk Drinking Water Systems Drought is a regional hazard; a community's susceptibility to it is influenced primarily by the status of their water system. During periods of drought, communities served by at-risk water systems could lose access to safe drinking water. Drought impacts water quality because decreasing well water levels lead to increased concentrations of contaminants such as arsenic. A lack of clean, sufficient well water can cause financial burden, sanitation concerns, and other issues for communities that rely on active wells for bathing, washing dishes, and other daily needs. This map layer draws data from State assessments of the hundreds of water systems across the county. The Division of Drinking Water (DDW) identifies Failing and At-Risk community water systems and K-12 non-transient, non-community schools. This information is displayed online in the Safe and Affordable Funding for Equity and Resilience (SAFER) Dashboard. The data utilized for this assessment is derived from multiple sources: self-reported from water systems, data generated by DDW staff, other California state agencies, and U.S. Census. The data sources, calculation methods, Failing and At-Risk criteria, etc. are fully documented in the annual Drinking Water Needs Assessment report which is published annually on the State Water Board’s website. SAFER Dashboard: [https://www.waterboards.ca.gov/drinking_water/certlic/drinkingwater/saferdashboard.html] Attribute Data: [https://data.ca.gov/dataset/safer-failing-and-at-risk-drinking-water-systems] Water System Boundaries: [https://gispublic.waterboards.ca.gov/portal/home/item.html] Data from the SAFER Dashboard joined to water system boundaries using the Water System ID. If no matching Water System ID, the nearest boundary to the point location noted in the SAFER dataset was used. This dataset is updated nightly from the Attribute Data source above.
IPAWS Aware (Public View Layer)

DO NOT CHANGE ITEM NAME: IPAWSAware IPAWS Aware is a partnership between the County of Los Angeles Chief Executive Office | Office of Emergency Management (OEM) and FEMA's IPAWS Program. IPAWS Aware monitors the national Integrated Public Alert & Warning System (IPAWS) Open Platform for Emergency Networks (IPAWS-OPEN) every 15-seconds for active IPAWS messages. For questions, please contact Rob Barreras at [rbarreras@ceooem.lacounty.gov].
All-Cause Mortality

Death rate has been age-adjusted by the 2000 U.S. standard populaton. All-cause mortality is an important measure of community health. All-cause mortality is heavily driven by the social determinants of health, with significant inequities observed by race and ethnicity and socioeconomic status. Black residents have consistently experienced the highest all-cause mortality rate compared to other racial and ethnic groups. During the COVID-19 pandemic, Latino residents also experienced a sharp increase in their all-cause mortality rate compared to White residents, demonstrating a reversal in the previously observed mortality advantage, in which Latino individuals historically had higher life expectancy and lower mortality than White individuals despite having lower socioeconomic status on average. The disproportionately high all-cause mortality rates observed among Black and Latino residents, especially since the onset of the COVID-19 pandemic, are due to differences in social and economic conditions and opportunities that unfairly place these groups at higher risk of developing and dying from a wide range of health conditions, including COVID-19. For more information about the Community Health Profiles Data Initiative, please see the [initiative homepage.]
Justice Equity Need Index (zip code)

The Justice Equity Need Index (JENI), by Advancement Project California, offers a means to map out the disparate burden that criminalization and a detention-first justice model place on specific communities. The index includes the following indicators: 1. System Involvement: The system-involved population by ZIP Code results in direct needs for justice equity, as measured by adult and youth probation. * Indicators: Adult Probation (per 1,000 people); Youth Probation (per 1,000 people) 2. Inequity Drivers: Root inequities across communities that contribute to racial and economic disparities as seen in incarceration and policing. * Indicators: Black, Latinx, AIAN, and NHPI Percentages of Population (average percentile); Unemployment Rate (%); Population aged 25+ without a High School Diploma (%); Population below 200% of the Federal Poverty Level (%); Violent Crime Rate (per 1,000 people) 3. Criminalization Risk: Conditions where the criminal justice system has historically taken a detention-first, prevention-last approach. * Indicators: Mental Health Hospitalizations (per 1,000 people); Substance Use-Related Hospitalizations (per 1,000 people); Homelessness Rate (per 1,000 people) Learn more at [https://www.catalystcalifornia.org/campaign-tools/maps-and-data/justice-equity-need-index]. Supervisorial Districts, SPAs, and CSAs determined by ZIP Code centroid.
City and Unincorporated Boundaries (Legal)

This layer contains Legal City boundaries within Los Angeles County. The Landbase is jointly maintained by the Los Angeles County Assessor and the Los Angeles County Department of Public Works.The Los Angeles County Department of Public Works provides the most current shape file of these city boundaries for download at its [https://egis-lacounty.hub.arcgis.com/datasets/la-county-city-boundaries/explore?location=34.153321%2C-118.083123%2C9.49]. Note: This boundary layer will not line up with the Thomas Brothers® city layer. Principal attributes include: CITY_NAME: represents the city's name. CITY_TYPE: may be used for definition queries; "Unincorporated" or "City". FEAT_TYPE: contains the type of feature each polygon represents: * Land - Use this value for your definition query if you want to see only land features on your map. * Pier - One example is the Santa Monica Pier. Man-made features may be regarded as extensions of the coastline. * Breakwater - Examples include the breakwater barriers that protect the Los Angeles Harbor. * Water - Polygons with this attribute value represent internal navigable waters. Examples of internal waters are found in the Long Beach Harbor and in Marina del Rey. * 3NM Buffer - Per the Submerged Lands Act, the seaward boundaries of coastal cities and unincorporated county areas are three nautical miles (a nautical mile is 1852 meters) from the coastline URL: cities website current as of 01/01/2023 This product is for information purposes and should not be used for legal, engineering, or survey purposes. County assumes no liability for any errors or omissions.
Population within 10-Minute Walk of a Recreational Space

This indicator provides information about the percentage of the total population that is within a 10-minute walk of a publicly available recreational space. In well-designed communities, homes, stores, schools, and recreational spaces are connected by safe walking routes, providing an opportunity for all community members to enjoy the outdoors and experience physical and mental health benefits. The closer a person lives to a park, the more likely they are to walk or bike to that park and to use it for exercise. Living within a half mile of a park is associated with higher levels of moderate-to-vigorous physical activity among community members. For more information about the Community Health Profiles Data Initiative, please see the [initiative homepage.]
Recreational Space Per Capita

This indicator provides information about publicly available recreational space per capita (acres per 1,000 population). Publicly available recreational spaces play an important role in communities, often conferring myriad health benefits. Access to places for physical activity, such as parks, trails, playgrounds, and community centers with recreational facilities, has been shown to prevent heart disease, stroke, diabetes, depression, and many types of cancer. Community recreational spaces also provide opportunities for park-related interventions that may reduce violent crime; serve as locations for outreach to increase access to and enrollment in health and social services; and provide space for community gardens and farmers’ markets, thereby increasing community access to fresh produce. Moreover, parks and other green spaces have environmental benefits that can protect community health through improved air quality and reduced impacts from the [ urban heat island effect ]. For more information about the Community Health Profiles Data Initiative, please see the [initiative homepage.]
County Lighting Maintenance District Feature Layer

This layer contains information for locating past and present County Lighting Maintenance District (CLMD) within Los Angeles County. Legal boundaries are only determined on the ground by surveyors licensed in the State of California. For LA County Lighting Maintenance District Map, [click here] Principal attributes: TO_CLMD: Current County Lighting Maintenance District Number ORIG_CLMD: Original County Lighting Maintenance District Number ANNEX_NAME: Annexation Project or Petition Number ANNEX_DATE: Effective annexation date CITY_NAME: Respective jurisdiction within a city or unincorporated areas of LA County ANNEX_TYPE: Annexation type is either "Project" or "Petition"
Population and Poverty 2000, 2010 and 2020 by CSA

Census Bureau tabulated population data in each decennial census. Poverty data is available in American Community Survey (ACS) 5-Year Summary File. Population data shows increasing whereas the poverty data shows decreasing in Los Angeles County from 2000 census to 2020 census. This population and poverty data are created to display and visualize the change in the population and the poverty in LA County during three decennial censuses 2000, 2010 and 2020. The 2000 poverty data from 2000 census, and the 2010 and 2020 poverty from ACS 5YR Summary File. How population and poverty data by city and community are created? For population data, block centroids of 2000, 2010 and 2020 census blocks were intersected with the current city and community boundaries, and block-based population were aggregated by the current city and community boundaries. For poverty rate data, tract-based poverty data were extracted from ACS 5-YR Summary file, allocated to blocks by multiplying a tract-to-block allocation factor, and aggregated by the current city and community boundaries. These population and population below poverty level (below 100% FPL) data are based on current city/community boundaries and are created for general comparison purpose only. Since current city and community boundaries are different than those at 2000 and 2010 census due to annexation and incorporation of boundaries, the numbers should not be compared with those based on old city and community boundaries.
Significant Ecological Area (SEA)

Significant Ecological Area (SEA) means an area that is determined to possess an example of biotic resources that cumulatively represent biological diversity for the purposes of protecting biotic diversity, as part of the Los Angeles County General Plan or a city’s general plan. Additional regulations shall be applied based on [County Code 22.56.215]: 'Significant Ecological Areas — Additional Regulations'. More information about the County’s SEA Program can be found at: [https://planning.lacounty.gov/sea/] LAST UPDATED: 12/20/22 for Annexation #2021-01 (Tesoro Del Valle) NEED MORE FUNCTIONALITY? If you are looking for more layers or advanced tools and functionality, then try our suite of [GIS Web Mapping Applications].
Significant Ridgeline

This layer delineates ridgelines within selected UNINCORPORATED Community Standards Districts (CSDs) which establish restrictions for grading and ridgeline development. For more information regarding specific CSDs where these ridgelines are located, go to, click [here]. LAST UPDATED: 6/21/24 - additional ridgelines following the adoption of the [East San Gabriel Valley Area Plan]. NEED MORE FUNCTIONALITY? If you are looking for more layers or advanced tools and functionality, then try our suite of [GIS Web Mapping Applications].
Census 2020 SRR and Demographic Charcateristics

For the past several censuses, the Census Bureau has invited people to self-respond before following up in-person using census takers. The 2010 Census invited people to self-respond predominately by returning paper questionnaires in the mail. The 2020 Census allows people to self-respond in three ways: online, by phone, or by mail. The 2020 Census self-response rates are self-response rates for current census geographies. These rates are the daily and cumulative self-response rates for all housing units that received invitations to self-respond to the 2020 Census. The 2020 Census self-response rates are available for states, counties, census tracts, congressional districts, towns and townships, consolidated cities, incorporated places, tribal areas, and tribal census tracts. The Self-Response Rate of Los Angeles County is 65.1% for 2020 Census, which is slightly lower than 69.6% of California State rate. More information about these data is available in the [Self-Response Rates Map Data and Technical Documentation] document associated with the 2020 Self-Response Rates Map or review [FAQs]. Animated Self-Response Rate 2010 vs 2020 is available at ESRI site [SRR Animated Maps] and can explore Census 2020 SRR data at ESRI Demographic site [Census 2020 SSR Data]. Following Demographic Characteristics are included in this data and web maps to visualize their relationships with Census Self-Response Rate (SRR). 1. Population Density: 2020 Population per square mile, 2. Poverty Rate: Percentage of population under 100% FPL, 3. Median Household income: Based on countywide median HH income of $71,538. 4. Highschool Education Attainment: Percentage of 18 years and older population without high school graduation. 5. English Speaking Ability: Percentage of 18 years and older population with less or none English speaking ability. 6. Household without Internet Access: Percentage of HH without internet access. 7. Non-Hispanic White Population: Percentage of Non-Hispanic White population. 8. Non-Hispanic African-American Population: Percentage of Non-Hispanic African-American population. 9. Non-Hispanic Asian Population: Percentage of Non-Hispanic Asian population. 10. Hispanic Population: Percentage of Hispanic population.
Population and Poverty in 2020

This data shows percent change of population in LA County between 2010 and 2020 by 2020 census tract. The 2010 blocks with 2010 population were allocated to 2020 tracts and summarized by 2020 tract. The 2020 population and poverty (below 100% Federal Poverty Level) data is for statistical tabulation/reporting purposes. This data also includes poverty and poverty rate (100% below FPL), Countywide poverty rate is 14.97% in 2020 which is lower than 17.2% in 2010. Main data fields: 1. CT20: 2020 census tract 2. Pop2020:2020 population by 2020 census tract 3. Pop2010: 2010 population by 2020 census tract 4. PovRate2020 (below 100% FPL): 2020 poverty rate by 2020 census tract 5. PovRate2010 (below 100% FPL): 2010 poverty rate by 2020 census tract
Split Tracts

Split tract data is the intersection of 2020 census tracts by 2023 incorporated city boundaries and unincorporated countywide statistical areas (CSA) boundaries. The census tract boundaries have been altered and aligned where necessary with legal city boundaries and unincorporated areas, including along shoreline/coastal areas. This data is also known as the Split Tract data. This data can be used to estimate population changes over time. Census Tract: Every 10 years the Census Bureau counts the population of the United States as mandated by Constitution. The Census Bureau released 2020 geographic boundaries data including census tracts for the analysis and mapping of demographic information across the United States. City Boundary: City Boundary data is the base map information for the County of Los Angeles. These City Boundaries are based on the Los Angeles County Seamless Cadastral Landbase. The Landbase is jointly maintained by the Los Angeles County Assessor and the Los Angeles County Department of Public Works (DPW). This layer represents current city boundaries within Los Angeles County. The DPW provides the most current shapefiles representing city boundaries and city annexations. True, legal boundaries are only determined on the ground by surveyors licensed in the State of California. Countywide Statistical Areas (CSA): The countywide Statistical Area (CSA) was defined to provide a common geographic boundary for reporting departmental statistics for unincorporated areas and incorporated Los Angeles city to the Board of Supervisors. The CSA boundary and CSA names are established by the CIO and the LA County Enterprise GIS group worked with the Los Angeles County Board of Supervisors Unincorporated Area and Field Deputies that reflect as best as possible the general name preferences of residents and historical names of areas. This data is primarily focused on broad statistics and reporting, not mapping of communities. This data is not designed to perfectly represent communities, nor jurisdictional boundaries such as Angeles National Forest. CSA represent board approved geographies comprised of Census block groups split by cities. Data Field: CT20FIP23CSA: ID field (combination of 2020 census tract number, 2023 city FIP code and CSA name) CT20: 2020 Census Tract FIP23: FIP code for legal city CITY: Legal City Name (as of July 1, 2023) CSA: Countywide Statistical Area (CSA) and Los Angeles City neighborhood names How this data created? This polygon data is created by intersecting 2020 census tract polygons, LA Country City neighborhood polygons and Countywide Statistical Areas (CSA) data polygon. The resulting polygon boundary aligned and matched with the legal city boundary whenever possible. Updates: * 2023 July: The major updates include 2022 November Santa Clarita City annexation and Kinneloa Mesa community (previously it was a part of Unincorporated East Pasadena). This data also aligns with current city boundary along LA County shoreline areas.
LA County 2021 Redistricting Highlights

This layer contains the major boundary differences of Los Angeles County 2021 Supervisorial District boundaries and 2011 Supervisorial District boundaries. 2021 Supervisorial District Boundaries was adopted on December 15, 2021, and maintained by LA County RRCC. 2011 Supervisorial District boundaries was adopted on September 27, 2011, and maintained by LA County DPW. How is this data created? This data is created by intersecting 2021 Supervisorial District boundary with 2011 Supervisorial District boundary and select only the major boundary change polygons.