27 datasets found
  1. i

    Grant Giving Statistics for Concerned Citizens of South Central Los Angeles

    • instrumentl.com
    Updated Jun 27, 2021
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    (2021). Grant Giving Statistics for Concerned Citizens of South Central Los Angeles [Dataset]. https://www.instrumentl.com/990-report/concerned-citizens-of-south-central-los-angeles
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    Dataset updated
    Jun 27, 2021
    Area covered
    South Los Angeles, Los Angeles
    Variables measured
    Total Assets, Total Giving, Average Grant Amount
    Description

    Financial overview and grant giving statistics of Concerned Citizens of South Central Los Angeles

  2. T

    Citizen Connect Variables (LA)

    • usc.data.socrata.com
    application/rdfxml +5
    Updated May 12, 2021
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    (2021). Citizen Connect Variables (LA) [Dataset]. https://usc.data.socrata.com/Los-Angeles/Citizen-Connect-Variables-LA-/u7m9-48qx
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    application/rssxml, json, csv, application/rdfxml, tsv, xmlAvailable download formats
    Dataset updated
    May 12, 2021
    License

    U.S. Government Workshttps://www.usa.gov/government-works
    License information was derived automatically

    Description

    Neighborhood Data for Social Change Platform indicators across 10 Policy Areas

  3. T

    Citizen Connect Unique Dataset Variables

    • usc.data.socrata.com
    application/rdfxml +5
    Updated May 12, 2021
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    (2021). Citizen Connect Unique Dataset Variables [Dataset]. https://usc.data.socrata.com/Los-Angeles/Citizen-Connect-Unique-Dataset-Variables/w4qj-x3xf
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    csv, application/rssxml, application/rdfxml, xml, tsv, jsonAvailable download formats
    Dataset updated
    May 12, 2021
    License

    U.S. Government Workshttps://www.usa.gov/government-works
    License information was derived automatically

    Description

    Variables for the Data Explorer, unpivoted to the format aligned to our final schema.

  4. Data from: Testing and Evaluating Body Worn Video Technology in the Los...

    • catalog.data.gov
    • icpsr.umich.edu
    Updated Mar 12, 2025
    + more versions
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    National Institute of Justice (2025). Testing and Evaluating Body Worn Video Technology in the Los Angeles Police Department, California, 2012-2018 [Dataset]. https://catalog.data.gov/dataset/testing-and-evaluating-body-worn-video-technology-in-the-los-angeles-police-departmen-2012-3ec8a
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    Dataset updated
    Mar 12, 2025
    Dataset provided by
    National Institute of Justicehttp://nij.ojp.gov/
    Area covered
    Los Angeles
    Description

    This research sought to evaluate the implementation of body worn cameras (BWCs) in the Los Angeles Police Department (LAPD). Researchers employed three strategies to evaluate the impact of BWCs in the department: 1) two-wave officer surveys about BWCs, 2) two-wave Systematic Social Observations (SSOs) of citizen interactions from officer ride-alongs, and 3) a time series analysis of existing LAPD data of use of force and complaint data. The officer surveys were conducted in the Mission and Newton divisions of the LAPD before and after BWCs were implemented. The survey instrument was designed to measure perceptions of BWCs across a variety of domains and took approximately 20 minutes to complete. Researchers attended roll calls for all shifts and units to request officer participation and administered the surveys on tablets using the Qualtrics software. The pre-deployment survey was administered in both divisions August and September 2015. The post-deployment surveys were conducted with a subset of officers who participated in the pre-deployment surveys during a two-week period in the summer of 2016, approximately nine months following the initial rollout of BWCs. The SSO data was collected in the Mission and Newton divisions prior to and following BWC implementation. The pre-administration SSOs were conducted in August and September 2015 and the post-administration SSOs were conducted in June and August, 2016. Trained observers spent 725 hours riding with and collecting observational data on the encounters between officers and citizens using tablets to perform field coding using Qualtrics software. A total of 124 rides (71 from Wave I and 53 from Wave II) were completed between both Newton and Mission Divisions. These observations included 514 encounters and involved coding the interactions of 1,022 citizens, 555 of which were deemed to be citizens who had full contact, which was defined as a minute or more of face-time or at least three verbal exchanges. Patrol officers (including special units) for ride-alongs were selected from a master list of officers scheduled to work each day and shift throughout the observation period. Up to five officers within each shift were randomly identified as potential participants for observation from this master list and observers would select the first available officer from this list. For each six-hour observation period, or approximately one-half of a shift, the research staff observed the interactions between the assigned officer, his or her partner, and any citizens he or she encountered. In Wave 2, SSOs were conducted with the same officers from Wave 1. The time series data were obtained from the LAPD use of force and complaint databases for each of the 21 separate patrol divisions, a metropolitan patrol division, and four traffic divisions of the LAPD. These data cover the time period where BWC were implemented throughout the LAPD on a staggered basis by division from 2015 to 2018. The LAPD operates using four-week deployment periods (DPs), and there are approximately 13 deployment periods per year. These data span the period of the beginning of 2012 through the 2017 DP 12. These data were aggregated to counts by deployment period based on the date of the originating incident. The LAPD collects detailed information about each application of force by an officer within an encounter. For this reason, separate use of force counts are based on incidents, officers, and use of force applications. Similarly, the LAPD also collects information on each allegation for each officer within a complaint and public complaint counts are based on incidents, officers, and allegations.

  5. f

    PERM Cases by Citizenship for Los Angeles Academy of Figurative Art

    • froghire.ai
    Updated Apr 1, 2025
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    FrogHire.ai (2025). PERM Cases by Citizenship for Los Angeles Academy of Figurative Art [Dataset]. https://www.froghire.ai/school/Los%20Angeles%20Academy%20of%20Figurative%20Art
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    Dataset updated
    Apr 1, 2025
    Dataset provided by
    FrogHire.ai
    Area covered
    Los Angeles
    Description

    This bar chart depicts PERM case filings at Los Angeles Academy of Figurative Art sorted by the citizenship of the graduates. The filter by major feature provides a deeper understanding of the international diversity of graduates who are being sponsored by employers in the U.S.

  6. T

    Citizen Connect Variables Counts by Policy Area and Year

    • usc.data.socrata.com
    application/rdfxml +5
    Updated Oct 11, 2017
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    (2017). Citizen Connect Variables Counts by Policy Area and Year [Dataset]. https://usc.data.socrata.com/Los-Angeles/Citizen-Connect-Variables-Counts-by-Policy-Area-an/qvuh-7myf
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    application/rssxml, application/rdfxml, csv, xml, tsv, jsonAvailable download formats
    Dataset updated
    Oct 11, 2017
    License

    U.S. Government Workshttps://www.usa.gov/government-works
    License information was derived automatically

    Description

    Variables for the Data Explorer, unpivoted to the format aligned to our final schema.

  7. l

    Supervisorial Districts (2021)

    • data.lacounty.gov
    Updated Mar 8, 2022
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    County of Los Angeles (2022). Supervisorial Districts (2021) [Dataset]. https://data.lacounty.gov/datasets/378b427653d9480c941150249f370ebc
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    Dataset updated
    Mar 8, 2022
    Dataset authored and provided by
    County of Los Angeles
    Area covered
    Description

    This layer contains the 2021 Official Supervisorial District Boundary for the County of Los Angeles, per Assessor parcels and the Department of Public Works' City/Community boundaries. Supplemental Information: Adopted December 15, 2021 - The County of Los Angeles Citizens Redistricting Commission’s Redistricting Plan adjusting the Official Supervisorial District Boundary for the County of Los Angeles pursuant to Elections Code Sections 21530 et seq. See Resolution No. 2021-04, Resolution of the County of Los Angeles Citizens Redistricting Commission Adopting a Redistricting Plan for the Los Angeles County Supervisorial Districts pursuant to Elections Code Section 21530 et seq.and Resolution No. 2021-05, Resolution of the County of Los Angeles Citizens Redistricting Commission Adopting a Redistricting Report for the Los Angeles County Supervisorial Districts pursuant to Elections Code Section 21534, subd. (d)(3). Per Sec. 21531 of the California Elections Code, Supervisorial District boundaries in the County of Los Angeles are adjusted in the year following the year in which the decennial federal census is taken. Published in the County Code under Title 1, Chapter 1.08, are boundary descriptions for the Supervisorial Districts.Last Updated: 3/4/2022

  8. l

    Supervisorial Districts (2021)

    • geohub.lacity.org
    • egis-lacounty.hub.arcgis.com
    • +1more
    Updated Mar 8, 2022
    + more versions
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    County of Los Angeles (2022). Supervisorial Districts (2021) [Dataset]. https://geohub.lacity.org/items/378b427653d9480c941150249f370ebc
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    Dataset updated
    Mar 8, 2022
    Dataset authored and provided by
    County of Los Angeles
    Area covered
    Description

    This layer contains the 2021 Official Supervisorial District Boundary for the County of Los Angeles, per Assessor parcels and the Department of Public Works' City/Community boundaries. Supplemental Information: Adopted December 15, 2021 - The County of Los Angeles Citizens Redistricting Commission’s Redistricting Plan adjusting the Official Supervisorial District Boundary for the County of Los Angeles pursuant to Elections Code Sections 21530 et seq. See Resolution No. 2021-04, Resolution of the County of Los Angeles Citizens Redistricting Commission Adopting a Redistricting Plan for the Los Angeles County Supervisorial Districts pursuant to Elections Code Section 21530 et seq.and Resolution No. 2021-05, Resolution of the County of Los Angeles Citizens Redistricting Commission Adopting a Redistricting Report for the Los Angeles County Supervisorial Districts pursuant to Elections Code Section 21534, subd. (d)(3). Per Sec. 21531 of the California Elections Code, Supervisorial District boundaries in the County of Los Angeles are adjusted in the year following the year in which the decennial federal census is taken. Published in the County Code under Title 1, Chapter 1.08, are boundary descriptions for the Supervisorial Districts.Last Updated: 3/4/2022

  9. d

    DWSAP Assessment for 1910065-014: LONG BEACH-CITY, WATER DEPT. / CITIZENS...

    • search.dataone.org
    Updated Oct 16, 2014
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    Long Beach (2014). DWSAP Assessment for 1910065-014: LONG BEACH-CITY, WATER DEPT. / CITIZENS WELL 09 [Dataset]. http://identifiers.org/ark:/13030/m51r6qsj/3/cadwsap-s1910065-014.xml
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    Dataset updated
    Oct 16, 2014
    Dataset provided by
    Merritt Repository
    Authors
    Long Beach
    Area covered
    Description

    A source water assessment identifies the vulnerability of the drinking water supply to contamination from typical human activities. The assessments are intended to facilitate and provide the basic information necessary for a local community to develop a program to protect the drinking water supply.

  10. u

    Data from: Forecast and citizen observations for temperature and ozone for...

    • iro.uiowa.edu
    nc, txt, zip
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    Jun Wang; Lorena Castro Garcia; G. Darrel Jenerette; Mark Chandler; Cui Ge; Dion Kucera; Sofia Koutzoukis; Jing Zeng, Forecast and citizen observations for temperature and ozone for Los Angeles area [Dataset]. https://iro.uiowa.edu/esploro/outputs/dataset/Forecast-and-citizen-observations-for-temperature/9984214536802771
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    nc(3724869 bytes), nc(1509159 bytes), txt(4534 bytes), zip(7575 bytes), zip(109115 bytes)Available download formats
    Dataset provided by
    University of Iowa
    Authors
    Jun Wang; Lorena Castro Garcia; G. Darrel Jenerette; Mark Chandler; Cui Ge; Dion Kucera; Sofia Koutzoukis; Jing Zeng
    License

    Open Data Commons Attribution License (ODC-By) v1.0https://www.opendatacommons.org/licenses/by/1.0/
    License information was derived automatically

    Time period covered
    2022
    Area covered
    Greater Los Angeles, Los Angeles
    Measurement technique
    1. WRF-Chem is an open-access model which can be acquired at: https://www2.mmm.ucar.edu/wrf/users/downloads.html. 2. Satellite data (MOD11A) is 1x1 km2 land surface temperature which can be downloaded from https://earthdata.nasa.gov 3.The model data and community science data can also be downloaded from https://esmc.uiowa.edu/ca/, under the “Citizen Data” menu
    Dataset funded by
    National Aeronautics and Space Administration (United States, Washington) - NASA
    National Science Foundation (United States, Alexandria) - NSF
    Description

    Heat waves and air pollution events can often occur at the same time, posing a dual threat to the public health in many urban neighborhoods. However, at or within the neighborhood scale few measurements have been taken via community engagement and little is known quantitatively about the co-variation of ozone and temperature Here, we present data from a summer pilot project of community science that involved ~1000 people to study urban heat and ozone pollution in various neighborhoods in Los Angeles, CA. The data collected by the community members reveals large spatial variations of ozone and temperature at the neighborhood scale, which are not resolved in the current generation of the operational (daily) air quality forecast predictions or satellite data products. However, with observations suggesting the significant impact of canopy on air temperature and model’s reliable performance in predicting observed strong ozone-temperature co-variations.

  11. f

    PERM Cases by Citizenship for Los Angeles Film School

    • froghire.ai
    Updated Apr 1, 2025
    + more versions
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    F1 Hire (2025). PERM Cases by Citizenship for Los Angeles Film School [Dataset]. https://www.froghire.ai/school/Los%20Angeles%20Film%20School
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    Dataset updated
    Apr 1, 2025
    Dataset provided by
    FrogHire.ai
    Area covered
    Los Angeles
    Description

    This bar chart depicts PERM case filings at Los Angeles Film School sorted by the citizenship of the graduates. The filter by major feature provides a deeper understanding of the international diversity of graduates who are being sponsored by employers in the U.S.

  12. Total population of the United States by gender 2010-2027

    • statista.com
    • conleste.com.br
    • +2more
    Updated Jul 5, 2024
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    Statista (2024). Total population of the United States by gender 2010-2027 [Dataset]. https://www.statista.com/statistics/737923/us-population-by-gender/
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    Dataset updated
    Jul 5, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    In terms of population size, the sex ratio in the United States favors females, although the gender gap is remaining stable. In 2010, there were around 5.17 million more women, with the difference projected to decrease to around 3 million by 2027.

    Gender ratios by U.S. state In the United States, the resident population was estimated to be around 331.89 million in 2021. The gender distribution of the nation has remained steady for several years, with women accounting for approximately 51.1 percent of the population since 2013. Females outnumbered males in the majority of states across the country in 2020, and there were eleven states where the gender ratio favored men.

    Metro areas by population National differences between male and female populations can also be analyzed by metropolitan areas. In general, a metropolitan area is a region with a main city at its center and adjacent communities that are all connected by social and economic factors. The largest metro areas in the U.S. are New York, Los Angeles, and Chicago. In 2019, there were more women than men in all three of those areas, but Jackson, Missouri was the metro area with the highest share of female population.

  13. T

    980021 and 980023 Avg Vehicles - Citizen Connect

    • usc.data.socrata.com
    Updated May 12, 2021
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    (2021). 980021 and 980023 Avg Vehicles - Citizen Connect [Dataset]. https://usc.data.socrata.com/Los-Angeles/980021-and-980023-Avg-Vehicles-Citizen-Connect/3pjf-icxw
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    csv, application/rssxml, tsv, xml, application/rdfxml, kmz, kml, application/geo+jsonAvailable download formats
    Dataset updated
    May 12, 2021
    License

    U.S. Government Workshttps://www.usa.gov/government-works
    License information was derived automatically

    Description

    Variables for the Data Explorer, unpivoted to the format aligned to our final schema.

  14. f

    Table_1_An Urban Biodiversity Assessment Framework That Combines an Urban...

    • frontiersin.figshare.com
    docx
    Updated Jun 1, 2023
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    Enjie Li; Sophie S. Parker; Gregory B. Pauly; John M. Randall; Brian V. Brown; Brian S. Cohen (2023). Table_1_An Urban Biodiversity Assessment Framework That Combines an Urban Habitat Classification Scheme and Citizen Science Data.DOCX [Dataset]. http://doi.org/10.3389/fevo.2019.00277.s001
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    docxAvailable download formats
    Dataset updated
    Jun 1, 2023
    Dataset provided by
    Frontiers
    Authors
    Enjie Li; Sophie S. Parker; Gregory B. Pauly; John M. Randall; Brian V. Brown; Brian S. Cohen
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    A lack of information about urban habitats, and a lack of professionally-collected species occurrence data are often cited as major impediments to completing bioassessments in urban landscapes. We developed an urban biodiversity assessment framework that addresses these challenges. The proposed framework combines a customized hierarchical urban habitat classification scheme with citizen science-generated species occurrence data, such as iNaturalist and eBird. It integrates publicly available data on the physical and anthropogenic environment with species occurrence information and serves as a novel method for conducting urban biodiversity assessments. This framework provides insights into how species occurrences within an urban landscape are associated with spatial variation in the physical and anthropogenic environment. It can also yield information useful for planning and conservation management aimed at maintaining and enhancing the abundance and diversity of native and other desirable species in urban areas. This framework requires minimal taxonomic expertise on the part of those who employ it, and it can be implemented in urban areas worldwide, wherever adequate data exist. We demonstrate the application of this framework in the highly urbanized portion of Los Angeles County, California, USA. Our demonstration used 18 physical and anthropogenic variables to classify our study area into nine urban habitat types. We then assessed relationships between these urban habitat types with species occurrences using research-grade data from iNaturalist. This analysis detected significant differences in distributions of some species between these nine urban habitat types and demonstrated that the proposed framework can be used to conduct urban biodiversity assessments. With increasing availability of remote sensing data and publicly-generated biodiversity data, this framework may be used for analysis of urban areas around the globe.

  15. a

    Community Profiles & District Maps Catalog

    • dpw-hub-site-lacounty.hub.arcgis.com
    Updated Apr 4, 2023
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    County of Los Angeles (2023). Community Profiles & District Maps Catalog [Dataset]. https://dpw-hub-site-lacounty.hub.arcgis.com/datasets/community-profiles-district-maps-catalog
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    Dataset updated
    Apr 4, 2023
    Dataset authored and provided by
    County of Los Angeles
    Description

    This application provides users with access to download PDFs of Community Profiles (for LA County, unincorporated and city areas), as well as maps of LA County Supervisorial Districts in various page sizes and detail. The Supervisorial maps reflect the district boundaries established on December 15, 2021 by the County of Los Angles Citizens Redistricting Commission.These maps were created by the Survey Mapping Property Management team in Public Works, and are meant for informational purposes only.

  16. n

    Coronavirus (Covid-19) Data in the United States

    • nytimes.com
    • openicpsr.org
    • +2more
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    New York Times, Coronavirus (Covid-19) Data in the United States [Dataset]. https://www.nytimes.com/interactive/2020/us/coronavirus-us-cases.html
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    Dataset provided by
    New York Times
    Description

    The New York Times is releasing a series of data files with cumulative counts of coronavirus cases in the United States, at the state and county level, over time. We are compiling this time series data from state and local governments and health departments in an attempt to provide a complete record of the ongoing outbreak.

    Since late January, The Times has tracked cases of coronavirus in real time as they were identified after testing. Because of the widespread shortage of testing, however, the data is necessarily limited in the picture it presents of the outbreak.

    We have used this data to power our maps and reporting tracking the outbreak, and it is now being made available to the public in response to requests from researchers, scientists and government officials who would like access to the data to better understand the outbreak.

    The data begins with the first reported coronavirus case in Washington State on Jan. 21, 2020. We will publish regular updates to the data in this repository.

  17. T

    Citizen Connect Tract Year Variable Filter

    • usc.data.socrata.com
    Updated Oct 25, 2017
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    (2017). Citizen Connect Tract Year Variable Filter [Dataset]. https://usc.data.socrata.com/Los-Angeles/Citizen-Connect-Tract-Year-Variable-Filter/s55w-sjja
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    csv, application/rdfxml, xml, tsv, application/rssxml, kml, kmz, application/geo+jsonAvailable download formats
    Dataset updated
    Oct 25, 2017
    License

    U.S. Government Workshttps://www.usa.gov/government-works
    License information was derived automatically

    Description

    Variables for the Data Explorer, unpivoted to the format aligned to our final schema.

  18. a

    COI 020 (City of Santa Clara)

    • redistricting-lacounty.hub.arcgis.com
    Updated Oct 28, 2021
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    County of Los Angeles (2021). COI 020 (City of Santa Clara) [Dataset]. https://redistricting-lacounty.hub.arcgis.com/items/137dc5770a5e46dcb46d6a23ea80baf9
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    Dataset updated
    Oct 28, 2021
    Dataset authored and provided by
    County of Los Angeles
    Area covered
    Description

    Plan Objectives:On behalf of the Santa Clarita City Council, I am submitting the following plan/map to urge members of the Los Angeles County Citizens Redistricting Commission (Commission) to place the City of Santa Clarita (City) and Santa Clarita Valley within only one Supervisorial district. Additionally, we urge the Commission to place the City and Santa Clarita Valley within a compact district that includes the communities of north Los Angeles County, including the Antelope Valley, and northwest communities of the San Fernando Valley. The City of Santa Clarita, located in north Los Angeles County, is the third most populous city in Los Angeles County and is home to approximately 221,000 residents with an additional 70,000 people residing in the adjacent unincorporated areas of the Santa Clarita Valley. These adjacent unincorporated communities, including Stevenson Ranch, Castaic, Agua Dulce, and Acton, share many unifying conditions with the City, including geographic, economic, social, climatic, and watershed boundaries.Furthermore, the City collaborates on regional issues, including transportation planning, homelessness, public safety, emergency preparedness and response, and water quality and supply, with the surrounding unincorporated areas directly adjacent to the City, northwest communities of the San Fernando Valley, and the cities of Lancaster, Palmdale, Burbank, and Glendale.Specifically, the City serves on the North Los Angeles County Transportation Coalition (NCTC), a Joint Powers Authority with the unincorporated areas of the north Los Angeles County and the cities of Lancaster and Palmdale. The NCTC develops regional policies and implements projects and programs to address critical transportation issues, promote economic development, and maximize transportation funding opportunities, including funding generated by Los Angeles County Measure M (2016) and Senate Bill 1 (Chapter 5, Statutes of 2017), in the north Los Angeles County region.Additionally, the City serves on the San Fernando Valley Council of Governments, a Joint Powers Authority that includes the cities of Burbank and Glendale, to develop and implement regional transportation, housing, and homelessness policies. Furthermore, similar to the City, the cities of Lancaster and Palmdale contract with the Los Angeles County Sheriff’s Department and Fire Department and work in collaboration with the City on emergency preparedness through the Los Angeles County Disaster Management Area B planning group, which is of critical importance due to the region’s history of wildfires and flooding. Moreover, the City serves on the Santa Clara River Watershed Area Steering Committee with other regional bodies and surrounding communities, including the Agua Dulce Town Council and the Santa Clarita Valley Water Agency, to develop funding plans and recommendations to provide water quality, water supply, and community enhancement benefits to the Santa Clarita Valley region. We appreciate the opportunity to provide input in the redistricting of the Supervisorial districts and thank you for your consideration of our comments and recommendations. We look forward to working with the Commission in placing the City and Santa Clarita Valley within a single Supervisorial district with the communities identified in this letter.

  19. T

    Renter Households - Tract 980009

    • usc.data.socrata.com
    application/rdfxml +5
    Updated Nov 21, 2018
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    (2018). Renter Households - Tract 980009 [Dataset]. https://usc.data.socrata.com/dataset/Renter-Households-Tract-980009/yvxs-3mrq
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    tsv, json, xml, application/rdfxml, csv, application/rssxmlAvailable download formats
    Dataset updated
    Nov 21, 2018
    Description

    Denominator Lookup file to populate Citizen Connect for calculated values, https://usc.data.socrata.com/Los-Angeles/Citizen-Connect-Variables/u7m9-48qx/data

  20. f

    PERM Cases by Citizenship for Los Angeles College of Music

    • froghire.ai
    Updated Apr 1, 2025
    + more versions
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    FrogHire.ai (2025). PERM Cases by Citizenship for Los Angeles College of Music [Dataset]. https://www.froghire.ai/school/Los%20Angeles%20College%20of%20Music
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    Dataset updated
    Apr 1, 2025
    Dataset provided by
    FrogHire.ai
    Description

    This bar chart depicts PERM case filings at Los Angeles College of Music sorted by the citizenship of the graduates. The filter by major feature provides a deeper understanding of the international diversity of graduates who are being sponsored by employers in the U.S.

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(2021). Grant Giving Statistics for Concerned Citizens of South Central Los Angeles [Dataset]. https://www.instrumentl.com/990-report/concerned-citizens-of-south-central-los-angeles

Grant Giving Statistics for Concerned Citizens of South Central Los Angeles

Explore at:
Dataset updated
Jun 27, 2021
Area covered
South Los Angeles, Los Angeles
Variables measured
Total Assets, Total Giving, Average Grant Amount
Description

Financial overview and grant giving statistics of Concerned Citizens of South Central Los Angeles

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