AndreaBozzo/ceres-open-data-index huggingface dataset:
Neighborhoods Without Walking Paths or Access to Open Space (2011 & 2015)

Percent of adults (18+ years old) who reported that their neighborhoods do not have walking paths, parks, playgrounds, or sports fields Data Source: 2011 & 2015 Los Angeles County Health Survey; Office of Health Assessment and Epidemiology, Los Angeles County Department of Public Health. FAQS 1) What is the Los Angeles County Health Survey (LACHS)? The Los Angeles County Health Survey is a population based telephone survey that provides information concerning the health of Los Angeles County residents. The data are used for assessing health-related needs of the population, for program planning and policy development, and for program evaluation. The relatively large sample size allows users to obtain health indicator data for large demographic subgroups and across geographic regions of the County, including Service Planning Areas and Health Districts. Produced by Los Angeles County Department of Public Health, Office of Health Assessment and Epidemiology (OHAE) www.publichealth.lacounty.gov/ha 2) What are the sample sizes of the 2011 and 2015 LACHS? Estimates are based on self-reported data by random samples of 8,036 (from 2011 survey) and 8,008 (from 2015 survey) Los Angeles County adults, representative of the adult population in Los Angeles County. 3) What does the 95% CI mean? The 95% confidence intervals (CI) represent the variability in the estimate due to sampling; the actual prevalence in the population, 95 out of 100 times sampled, would fall within the range provided. 4) What is the prevalence and confidence intervals (CIs) for Los Angeles County and the City of Los Angeles? Findings for the County of Los Angeles: (14.7%; 95% CI=14.0-15.5) Findings for the City of Los Angeles: (18.0%; 95% CI=16.7-19.3) "Field Name" = Field Definition "CPA_NUM" = Unique identifier for each Community Plan Area "NAME_ALF" = the 35 Community Plan Areas, LAX Plan Area, and the Port of Los Angeles Plan Area "Stable_est" = (Yes) the estimate is statistically stable (relative standard error ≤ 30%) (No) the estimate is statistically unstable (relative standard error >30%) and therefore may not be appropriate to use for planning or policy purposes "LowerCL" = the lower 95% confidence limit represents the lower margin of error that occurs with statistical sampling "UpperCL" = the upper 95% confidence limit represents the upper margin of error that occurs in statistical sampling "Percent" = percentage of adults (18+ years old) whose neighborhoods do not have walking paths, parks, playgrounds, or sports fields
TblTransit

Abstract: Dataset represents transit-related information for each intersection in the City. Includes data from the following transit providers: LA Metro, Santa Monica Big Blue Bus, Culver City Transit, LADOT Dash and Commuter Express, City of Santa Clarita Transit, Foothill Transit, Metrolink, Montebello Bus Lines, City of Gardena Transit Relations: Join to the Intersection Table using the “boeint_fkey” field. Source: LA Metro ─────────────────┬──────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────── boeint_fkey │Unique identifier for the intersection as part of the Bureau of Engineering’s Centerline network ─────────────────┼──────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────── transit_stop_ct │Number of transit stops within 100’ of the intersection ─────────────────┼──────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────── transit_ridership│Ridership estimates over a three month period in 2014. Value of 0 means that there was zero ridership recorded even though there may be stops. For intersections without a stop, there will be a NULL value. ─────────────────┴────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────
Community Health and Equity Index (2013)

The Community Health and Equity Index was developed to examine the spatial relationship between vulnerable populations, social and economic factors, mortality, morbidity, the physical environment, pollution, and crime and to identify the areas of City burdened with the mos adverse conditions. Refer to attribute column: "HD_IND_W" to display census tracts with the highest scores in the Community Health and Equity Index. To learn more about the basis for the Index, please review the complete Health Atlas for the City of Los Angeles (pp. 181-182 ad 184) or Chapter 13: Community Health and Equity Index of the Health Atlas, both available for download at [http://healthyplan.la/the-health-atlas/] Produced by Raimi + Associates for the City of Los Angeles and Los Angeles County. Made possible with funding from the Centers for Disease Control and Prevention through the Los Angeles County Department of Public Health and The California Endowment, May 2013.
TblParks

Abstract: Dataset includes count of parks within ¼ mi, ½ mi, and 1 mi of each intersection. Relations: Join to the Intersection Table using the “boeint_fkey” field. Source: Los Angeles County Enterprise GIS ─────────────┬──────────────────────────────────────────────────────────────────────────────────────────────── boeint_fkey │Unique identifier for the intersection as part of the Bureau of Engineering’s Centerline network ─────────────┼──────────────────────────────────────────────────────────────────────────────────────────────── park_mile_ct │Count of parks within 1 mi. of the intersection ─────────────┼──────────────────────────────────────────────────────────────────────────────────────────────── park_hlfmi_ct│Count of parks within ½ mi. of the intersection ─────────────┼──────────────────────────────────────────────────────────────────────────────────────────────── park_qtrmi_ct│Count of parks within ¼ mi. of the intersection ─────────────┴────────────────────────────────────────────────────────────────────────────────────────────────
GeomIntersections

Abstract: Feature class represents intersections as part of the Bureau of Engineering’s Centerline network. Joining the related tables will yield information about the intersection. Relations: Join other tables to this feature class using the “boeint_fkey” field. Source: City of Los Angeles Bureau of Engineering ───────────┬──────────────────────────────────────────────────────────────────────────────────────────────── boeint_pkey│Unique identifier for the intersection as part of the Bureau of Engineering’s Centerline network ───────────┼──────────────────────────────────────────────────────────────────────────────────────────────── LAT │Latitudinal coordinate ───────────┼──────────────────────────────────────────────────────────────────────────────────────────────── LON │Longitudinal coordinate ───────────┼──────────────────────────────────────────────────────────────────────────────────────────────── FROM_ST │The first cross-street of the intersection. ───────────┼──────────────────────────────────────────────────────────────────────────────────────────────── TO_ST │The second cross-street of the intersection. ───────────┼──────────────────────────────────────────────────────────────────────────────────────────────── ZIP_CODE │The zip code of the intersection. ───────────┴────────────────────────────────────────────────────────────────────────────────────────────────
TblSeniorCenter

Abstract: Dataset represents the number of senior centers at various distances from each intersection in the City. Relations: Join to the Intersection Table using the “boeint_fkey” field. Source: Department of Aging ───────────┬──────────────────────────────────────────────────────────────────────────────────────────────── boeint_fkey│Unique identifier for the intersection as part of the Bureau of Engineering’s Centerline network ───────────┼──────────────────────────────────────────────────────────────────────────────────────────────── sc_mile_ct │Number of senior centers within a mile of the intersection ───────────┼──────────────────────────────────────────────────────────────────────────────────────────────── sc_hlfmi_ct│Number of senior centers within a half mile of the intersection ───────────┼──────────────────────────────────────────────────────────────────────────────────────────────── sc_qtrmi_ct│Number of senior centers within a quarter mile of the intersection ───────────┴────────────────────────────────────────────────────────────────────────────────────────────────
TblEmployment

Abstract: Dataset represents the count of total jobs and retail jobs within ¼ mi of each intersection. Relations: Join to the Intersection Table using the “boeint_fkey” field. Source: ACS 2014 5-Year Estimates ───────────┬────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────── boeint_fkey│Unique identifier for the intersection as part of the Bureau of Engineering’s Centerline network ───────────┼────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────── empl_ct │Number of jobs within ¼ mi of the intersection ───────────┼────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────── retail_ct │Number of retail jobs within ¼ mi of the intersection ───────────┼────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────── medianwg_ct│Number of median wage workers in the intersecting block group. The definition of a median wage worker is based of the U.S. Environmental Protection Agency’s (EPA) Smart Location Database (SLD). More information about the EPA SLD can be found here: https://www.epa.gov/smartgrowth/smart-location-mapping ───────────┴──────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────
TblPopsum

Abstract: Dataset includes population, by age group, within ¼ mile buffer around each intersection. This can be used to calculate population density at each intersection, or compare the distribution of age around a particular intersection. These values were derived using the proportional sum calculation on census tracts. Relations: Join to the Intersection Table using the “boeint_fkey” field. Source: ACS 2014 5-Year Estimates ──────────────┬──────────────────────────────────────────────────────────────────────────────────────────────── boeint_fkey │Unique identifier for the intersection as part of the Bureau of Engineering’s Centerline network ──────────────┼──────────────────────────────────────────────────────────────────────────────────────────────── popsum_aunder5│Population under 5 years of age within ¼ mi. of the intersection ──────────────┼──────────────────────────────────────────────────────────────────────────────────────────────── popsum_a5to9 │Population between 5 and 9 years of age within ¼ mile of the intersection ──────────────┼──────────────────────────────────────────────────────────────────────────────────────────────── popsum_a10to17│Population between 10 and 17 years of age within ¼ mi. of the intersection ──────────────┼──────────────────────────────────────────────────────────────────────────────────────────────── popsum_a18to29│Population between 18 and 29 years of age within ¼ mi. of the intersection ──────────────┼──────────────────────────────────────────────────────────────────────────────────────────────── popsum_a30to61│Population between 30 and 61 years of age within ¼ mi. of the intersection ──────────────┼──────────────────────────────────────────────────────────────────────────────────────────────── popsum_a62to69│Population between 62 and 69 years of age within ¼ mi. of the intersection ──────────────┼──────────────────────────────────────────────────────────────────────────────────────────────── popsum_a70up │Population 70 and greater years of age within ¼ mi. of the intersection ──────────────┼──────────────────────────────────────────────────────────────────────────────────────────────── popsum_total │Total population within ¼ mi. of the intersection ──────────────┴────────────────────────────────────────────────────────────────────────────────────────────────
TblSpeedMean

Abstract: Dataset includes mean vehicle speed (mph) data over various time periods during the week of April 13-19, 2015. Because speed is measured at the segment-level (tied to the xdsegid_fkey), and not the intersection level, there may be multiple values for speed at a given intersection. Relations: Join to the Intersection Table using the “boeint_fkey” field. Source: LA Metro Regional Integration of Intelligent Transportation Systems (RIITS) ─────────────┬───────────────────────────────────────────────────────────────────────────────────────────────── boeint_fkey │Unique identifier for the intersection as part of the Bureau of Engineering’s Centerline network. ─────────────┼───────────────────────────────────────────────────────────────────────────────────────────────── xdsegid_fkey │Unique identifier for the speed segment. ─────────────┼───────────────────────────────────────────────────────────────────────────────────────────────── speed_bearing│Direction of travel (N,S,E,W) for the segment ─────────────┼───────────────────────────────────────────────────────────────────────────────────────────────── speed_wkdyT1 │Weekday average for 6am-10am period ─────────────┼───────────────────────────────────────────────────────────────────────────────────────────────── speed_wkdyT2 │Weekday average for 10am-3pm period ─────────────┼───────────────────────────────────────────────────────────────────────────────────────────────── speed_wkdyT3 │Weekday average for 3pm-7pm period ─────────────┼───────────────────────────────────────────────────────────────────────────────────────────────── speed_wkdyT4 │Weekday avearge for 7pm-6am period ─────────────┼───────────────────────────────────────────────────────────────────────────────────────────────── speed_wkndT1 │Weekend average for 6am-10am period ─────────────┼───────────────────────────────────────────────────────────────────────────────────────────────── speed_wkndT2 │Weekend average for 10am-3pm period ─────────────┼───────────────────────────────────────────────────────────────────────────────────────────────── speed_wkndT3 │Weekend average for 3pm-7pm period ─────────────┼───────────────────────────────────────────────────────────────────────────────────────────────── speed_wkndT4 │Weekend average for 7pm-6am period ─────────────┴─────────────────────────────────────────────────────────────────────────────────────────────────
Clean Streets Index Segments 2018 Q2

The Los Angeles Clean Streets Index, the first-of-its-kind, is a grading system of every street in Los Angeles. The Bureau of Sanitation drove and scored over 9,000 miles of streets and alleys - each segment received a "cleanliness score" from 1-3. Each street score is based on four factors: litter, weeds, bulky items and illegal dumping. This assessment is repeated every quarter. This assessment is for Quarter 2 of 2018. Los Angeles is leading the way as the only big city in the US conducting a regular cleanliness assessment of every City street. For information or if you have any questions please contact the data owner or the Hub administrator.
Clean Streets Index Grids 2018 Q2

The Los Angeles Clean Streets Index, the first-of-its-kind, is a grading system of every street in Los Angeles. The Bureau of Sanitation drove and scored over 9,000 miles of streets and alleys - each segment received a "cleanliness score" from 1-3. Each street score is based on four factors: litter, weeds, bulky items and illegal dumping. This assessment is repeated every quarter. This assessment is for Quarter 2 of 2018. Los Angeles is leading the way as the only big city in the US conducting a regular cleanliness assessment of every City street. For information or if you have any questions please contact the data owner or the Hub administrator.
Stormwater Capture Master Plan (SCMP) Priority Infiltration Areas

Summary: Stormwater Capture Master Plan (SCMP) Priority Infiltration Areas. The layer is from the Stormwater Capture Master Plan published in 2015. It shows where priority infiltration areas are for groundwater recharge. The three values for Infiltration Priority are High, Medium, and Low. LADWP Stormwater Capture Master Plan Website: [http://www.ladwp.com/scmp] Datasource: LADWP Last Updated: 10/19/2016 Refresh Rate: One time upload for the Stormwater Capture Master Plan that was published in 2015.
LAUSD SRTS Top100

This map features the top 100 SRTS school sites (Safe Route to School), school based attendance boundaries of the Los Angeles Unified School District. High school boundaries are shown in green, middle school boundaries are shown in blue, and elementary school boundaries are shown in red. This map may be used to locate an address, and in turn identify the Top 100 SRTS (Safe Route to School) elementary, middle, and high school assignment associated with that address, given that the subject address is located within LAUSD's boundary.
Los Angeles Climate-Smart Cities Analysis Results Raster

The Trust for Public Land's Climate-Smart Cities Program is founded on the principle that to respond to climate change, cities must restore natural functions of the land by weaving green elements into the built environment. The Climate Smart Cities Program helps cities meet the challenges through the development of spatial data and decision support tools that translate the goals from a city’s strategic climate planning into priority sites for green infrastructure development. The Climate Smart Cities Program categorizes these strategies under the climate objectives of Connecting, Cooling, Absorbing, and Protecting. Data interpretation: 5 = Very High Priority for Green Infrastructure 4 = High Priority for Green Infrastructure 3 = Medium Priority for Green Infrastructure 0-2 = Low Value Values 3, 4, and 5 should be used when assessing highest prioritization from the model.
Clean Streets Index Segments 2018 Quarter 3

The Los Angeles Clean Streets Index, the first-of-its-kind, is a grading system of every street in Los Angeles. The Bureau of Sanitation drove and scored over 9,000 miles of streets and alleys - each segment received a "cleanliness score" from 1-3. Each street score is based on four factors: litter, weeds, bulky items and illegal dumping. This assessment is repeated every quarter. This assessment is for Quarter 3 of 2018. Los Angeles is leading the way as the only big city in the US conducting a regular cleanliness assessment of every City street. For information or if you have any questions please contact the data owner or the Hub administrator.
Clean Streets Index Segments 2018 Q1

The Los Angeles Clean Streets Index, the first-of-its-kind, is a grading system of every street in Los Angeles. The Bureau of Sanitation drove and scored over 9,000 miles of streets and alleys - each segment received a "cleanliness score" from 1-3. Each street score is based on four factors: litter, weeds, bulky items and illegal dumping. This assessment is repeated every quarter. This assessment is for Quarter 1 of 2018. Los Angeles is leading the way as the only big city in the US conducting a regular cleanliness assessment of every City street.
LAFD Battalions

There are 14 fire operational battalions. A battalion is a collection of fire station First-in districts. Fire Battalions areas are a static data set and are only updated when there is a operational need to change the structure. There is no planned change for this layer. This is the authoritative source for LAFD Battalions. 2017_05 clean up boundries to align with First-In 2015/17/3 - FI 15 moved from B11 in OCB to B13 in OSB The 14 Battalions of the LAFD.
Red FLag Warning Streets

Red Flag Warning, RFW, Streets that have a no parking enforcement policy on High Fire Danger days and cover the Very High Fire Hazard Severity Zone, VHFHSZ. The RFW streets are identified where streets are narrow and vehicle parking would restrict or hinder the access of emergency response vehicles on days where sever fire weather conditions exist. Data includes streets marked as "No Parking on Red Flag Days" and streets mark as "No Parking Anytime". This data helps parking enforcement patrol areas where quick emergency access maybe necessary to save life and property. Some “No Parking Anytime” sections were added in areas where there has been known violations and patrol of these areas will ensure access for emergency responders. Some edits where confirmed by Google Street View using current image available during 2018-2019 editing. Regarding streets with "No Parking, No Stopping" policies, if the area Fire Station had concerns with access those streets were added to this data. TYPECODE value 1= Red Flag Street; 2= No Parking (no pkg); 3= Red Flag Street and No Parking; ADDRESSRANGE is an approximation of addresses included in the restricted areas.
Homeless Count by Council District - 2018

Data Prepared by Los Angeles Homeless Services Authority September 5 2018 Components of the Homeless Count Street Count (all census tracts): Captures a point in time estimate of the unsheltered population. Shelter Count (from Homeless Management Integration System): Captures the homeless population in emergency shelters, transitional housing, safe havens and vouchered motels/hotels. Youth Count (sample census tracts): Collaborative process with youth stakeholders to better understand and identify homeless youth. Demographic Survey (sample census tracts): Captures the demographic characteristics of the unsheltered homeless population. Notes Street Count data includes homeless persons found outside, including persons found residing in cars, vans, campers/RVs, tents and makeshift shelters. The following conversion factors were used to estimate the number of persons living in cars, vans, campers/RVs, tents and makeshift shelters if enumerators encountered homeless persons living in these environments. Individuals: Cars = 1.54, Vans = 1.62, RV's = 1.76, Tents = 1.52 and Makeshift Shelters = 1.67. Family Members: Cars = 2.96, Vans = 2.43, RV's = 3.45, Tents = 2.75 and Makeshift Shelters = 2.42. Demographic survey interviews conducted with 4,934 homeless persons from December 2017 to March 2018 determined these conversion factors for the average number of homeless persons in cars, vans, campers/RVs, tents and makeshift shelters. Please visit https://www.lahsa.org/homeless-count/home to view and download data. Last updated 9/5/2018