19 datasets found
  1. a

    Zip Codes (LA County)

    • hub.arcgis.com
    • 716377.gfbienesraices.com
    • +8more
    Updated Nov 14, 2015
    + more versions
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    lahub_admin (2015). Zip Codes (LA County) [Dataset]. https://hub.arcgis.com/maps/lahub::zip-codes-la-county
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    Dataset updated
    Nov 14, 2015
    Dataset authored and provided by
    lahub_admin
    Area covered
    Description

    Zip code boundaries from Los Angeles County.

  2. d

    TIGER/Line Shapefile, 2019, 2010 nation, U.S., 2010 Census 5-Digit ZIP Code...

    • catalog.data.gov
    Updated Nov 1, 2022
    + more versions
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    (2022). TIGER/Line Shapefile, 2019, 2010 nation, U.S., 2010 Census 5-Digit ZIP Code Tabulation Area (ZCTA5) National [Dataset]. https://catalog.data.gov/dataset/tiger-line-shapefile-2019-2010-nation-u-s-2010-census-5-digit-zip-code-tabulation-area-zcta5-na
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    Dataset updated
    Nov 1, 2022
    Area covered
    United States
    Description

    The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). The MTDB represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line shapefile is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. ZIP Code Tabulation Areas (ZCTAs) are approximate area representations of U.S. Postal Service (USPS) ZIP Code service areas that the Census Bureau creates to present statistical data for each decennial census. The Census Bureau delineates ZCTA boundaries for the United States, Puerto Rico, American Samoa, Guam, the Commonwealth of the Northern Mariana Islands, and the U.S. Virgin Islands once each decade following the decennial census. Data users should not use ZCTAs to identify the official USPS ZIP Code for mail delivery. The USPS makes periodic changes to ZIP Codes to support more efficient mail delivery. The Census Bureau uses tabulation blocks as the basis for defining each ZCTA. Tabulation blocks are assigned to a ZCTA based on the most frequently occurring ZIP Code for the addresses contained within that block. The most frequently occurring ZIP Code also becomes the five-digit numeric code of the ZCTA. These codes may contain leading zeros. Blocks that do not contain addresses but are surrounded by a single ZCTA (enclaves) are assigned to the surrounding ZCTA. Because the Census Bureau only uses the most frequently occurring ZIP Code to assign blocks, a ZCTA may not exist for every USPS ZIP Code. Some ZIP Codes may not have a matching ZCTA because too few addresses were associated with the specific ZIP Code or the ZIP Code was not the most frequently occurring ZIP Code within any of the blocks where it exists. The ZCTA boundaries in this release are those delineated following the 2010 Census.

  3. l

    Join Features to LA County Zip Codes with 2020 Population

    • geohub.lacity.org
    • visionzero.geohub.lacity.org
    • +2more
    Updated Jan 4, 2021
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    eva.pereira_lahub (2021). Join Features to LA County Zip Codes with 2020 Population [Dataset]. https://geohub.lacity.org/maps/join-features-to-la-county-zip-codes-with-2020-population
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    Dataset updated
    Jan 4, 2021
    Dataset authored and provided by
    eva.pereira_lahub
    Area covered
    Description

    Feature layer generated from running the Join Features solution

  4. o

    Zip Codes 5 digits - United States of America

    • public.opendatasoft.com
    csv, excel, geojson +1
    Updated Jun 6, 2024
    + more versions
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    (2024). Zip Codes 5 digits - United States of America [Dataset]. https://public.opendatasoft.com/explore/dataset/georef-united-states-of-america-zcta5/
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    excel, geojson, json, csvAvailable download formats
    Dataset updated
    Jun 6, 2024
    License

    https://en.wikipedia.org/wiki/Public_domainhttps://en.wikipedia.org/wiki/Public_domain

    Area covered
    United States
    Description

    This dataset is part of the Geographical repository maintained by Opendatasoft.This dataset contains data for zip codes 5 digits in United States of America.ZIP Code Tabulation Areas (ZCTAs) are approximate area representations of U.S. Postal Service (USPS) ZIP Code service areas that the Census Bureau creates to present statistical data for each decennial census. The Census Bureau delineates ZCTA boundaries for the United States, Puerto Rico, American Samoa, Guam, the Commonwealth of the Northern Mariana Islands, and the U.S. Virgin Islands once each decade following the decennial census. Data users should not use ZCTAs to identify the official USPS ZIP Code for mail delivery. The USPS makes periodic changes to ZIP Codes to support more efficient mail delivery.Processors and tools are using this data.EnhancementsAdd ISO 3166-3 codes.Simplify geometries to provide better performance across the services.Add administrative hierarchy.

  5. a

    2020 Census Blocks

    • hub.arcgis.com
    • geohub.lacity.org
    • +2more
    Updated Mar 22, 2021
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    County of Los Angeles (2021). 2020 Census Blocks [Dataset]. https://hub.arcgis.com/maps/lacounty::2020-census-blocks
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    Dataset updated
    Mar 22, 2021
    Dataset authored and provided by
    County of Los Angeles
    Area covered
    Description

    Blocks are typically bounded by streets, roads or creeks. In cities, a census block may correspond to a city block, but in rural areas where there are fewer roads, blocks may be limited by other features. The Census Bureau established blocks covering the entire nation for the first time in 1990.There are less number of Census Blocks within Los Angeles County in 2020 Census TIGER/Line Shapefiles, compared in 2010.Updated:1. June 2023: This update includes 2022 November Santa Clarita City annexation and the addition of "Kinneloa Mesa" community (was a part of unincorporated East Pasadena). Added new data fields FIP_CURRENT to CITYCOMM_CURRENT to reflect new/updated city and communities. Updated city/community names and FIP codes of census blocks that are in 2022 November Santa Clarita City annexation and new Kinneloa Mesa community (look for FIP_Current, City_Current, Comm_Current field values)2. February 2023: Updated few Census Block CSA values based on Demographic Consultant inquiry/suggestions3. April 2022: Updated Census Block data attribute values based on Supervisorial District 2021, Service Planning Area 2022, Health District 2022 and ZIP Code Tabulation Area 2020Created: March 2021How This Data is Created? This census geographic file was downloaded from Census Bureau website: https://www2.census.gov/geo/tiger/TIGER2020PL/STATE/06_CALIFORNIA/06037/ on February 2021 and customized for LA County. New data fields are added in the census blocks 2020 data and populated with city/community names, LA County FIPS, 2021 Supervisorial Districts, 2020 Census Zip Code Tabulation Area (ZCTA) and some administrative boundary information such as 2022 Health Districts and 2022 Service Planning Areas (SPS) are also added. "Housing20" field value and "Pop20" field value is populated with PL 94-171 Redistricting Data Summary File: Decennial Census P.L. 94-171 Redistricting Data Summary Files. Similarly, "Feat_Type" field is added and populated with water, ocean and land values. Five new data fields (FIP_CURRENT to CITYCOMM_CURRENT) are added in June 2023 updates to accommodate 2022 Santa Clarita city annexation. City/community names and FIP codes of census blocks affected by 2022 November Santa Clarita City annexation are assigned based on the location of block centroids. In June 2023 update, total of 36 blocks assigned to the City of Santa Clarita that were in Unincorporated Valencia and Castaic. Note: This data includes 3 NM ocean (FEAT_TYPE field). However, user can use a definition query to remove those. Data Fields: 1. STATE (STATEFP20): State FIP, "06" for California, 2. COUNTY (COUNTYFP20): County FIP "037" for Los Angeles County, 3. CT20: (TRACTCE20): 6-digit census tract number, 4. BG20: 7-digit block group number, 5. CB20 (BLOCKCE20): 4-digit census block number, 6. CTCB20: Combination of CT20 and CB20, 7. FEAT_TYPE: Land use types such as water bodies, ocean (3 NM ocean) or land, 8. FIP20: Los Angeles County FIP code, 9. BGFIP20: Combination of BG20 and FIP20, 10. CITY: Incorporated city name, 11. COMM: Unincorporated area community name and LA City neighborhood, also known as "CSA", 12. CITYCOMM: City/Community name label, 13. ZCTA20: Parcel specific zip codes, 14. HD12: 2012 Health District number, 15. HD_NAME: Health District name, 16. SPA22: 2022 Service Planning Area number, 17. SPA_NAME: Service Planning Area name, 18. SUP21: 2021 Supervisorial District number, 19. SUP_LABEL: Supervisorial District label, 20. POP20: 2020 Population (PL 94-171 Redistricting Data Summary File - Total Population), 21. HOUSING20: 2020 housing (PL 94-171 Redistricting Data Summary File - Total Housing),22. FIP_CURRENT: Los Angeles County 2023 FIP code, as of June 2023,23. BG20FIP_CURRENT: Combination of BG20 and 2023 FIP, as of June 2023,24. CITY_CURRENT: 2023 Incorporated city name, as of June 2023,25. COMM_CURRENT: 2023 Unincorporated area community name and LA City neighborhood, also known as "CSA", as of June 2023,26. CITYCOMM_CURRENT: 2023 City/Community name label, as of June 2023.

  6. l

    Streets (Centerline)

    • geohub.lacity.org
    • visionzero.geohub.lacity.org
    • +6more
    Updated Nov 14, 2015
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    lahub_admin (2015). Streets (Centerline) [Dataset]. https://geohub.lacity.org/datasets/lahub::streets-centerline/about
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    Dataset updated
    Nov 14, 2015
    Dataset authored and provided by
    lahub_admin
    Area covered
    Description

    This street centerline lines feature class represents current right of way in the City of Los Angeles. It shows the official street names and is related to the official street name data. The Mapping and Land Records Division of the Bureau of Engineering, Department of Public Works provides the most current geographic information of the public right of way. The right of way information is available on NavigateLA, a website hosted by the Bureau of Engineering, Department of Public Works. Street Centerline layer was created in geographical information systems (GIS) software to display Dedicated street centerlines. The street centerline layer is a feature class in the LACityCenterlineData.gdb Geodatabase dataset. The layer consists of spatial data as a line feature class and attribute data for the features. City of LA District Offices use Street Centerline layer to determine dedication and street improvement requirements. Engineering street standards are followed to dedicate the street for development. The Bureau of Street Services tracks the location of existing streets, who need to maintain that road. Additional information was added to Street Centerline layer. Address range attributes were added make layer useful for geocoding. Section ID values from Bureau of Street Services were added to make layer useful for pavement management. Department of City Planning added street designation attributes taken from Community Plan maps. The street centerline relates to the Official Street Name table named EASIS, Engineering Automated Street Inventory System, which contains data describing the limits of the street segment. A street centerline segment should only be added to the Street Centerline layer if documentation exists, such as a Deed or a Plan approved by the City Council. Paper streets are street lines shown on a recorded plan but have not yet come into existence on the ground. These street centerline segments are in the Street Centerline layer because there is documentation such as a Deed or a Plan for the construction of that street. Previously, some street line features were added although documentation did not exist. Currently, a Deed, Tract, or a Plan must exist in order to add street line features. Many street line features were edited by viewing the Thomas Bros Map's Transportation layer, TRNL_037 coverage, back when the street centerline coverage was created. When TBM and BOE street centerline layers were compared visually, TBM's layer contained many valid streets that BOE layer did not contain. In addition to TBM streets, Planning Department requested adding street line segments they use for reference. Further, the street centerline layer features are split where the lines intersect. The intersection point is created and maintained in the Intersection layer. The intersection attributes are used in the Intersection search function on NavigateLA on BOE's web mapping application NavigateLA. The City of Los Angeles Municipal code states, all public right-of-ways (roads, alleys, etc) are streets, thus all of them have intersections. Note that there are named alleys in the BOE Street Centerline layer. Since the line features for named alleys are stored in the Street Centerline layer, there are no line features for named alleys in those areas that are geographically coincident in the Alley layer. For a named alley , the corresponding record contains the street designation field value of ST_DESIG = 20, and there is a name stored in the STNAME and STSFX fields.List of Fields:SHAPE: Feature geometry.OBJECTID: Internal feature number.STNAME_A: Street name Alias.ST_SUBTYPE: Street subtype.SV_STATUS: Status of street in service, whether the street is an accessible roadway. Values: • Y - Yes • N - NoTDIR: Street direction. Values: • S - South • N - North • E - East • W - WestADLF: From address range, left side.ZIP_R: Zip code right.ADRT: To address range, right side.INT_ID_TO: Street intersection identification number at the line segment's end node. The value relates to the intersection layer attribute table, to the CL_NODE_ID field. The values are assigned automatically and consecutively by the ArcGIS software first to the street centerline data layer and then the intersections data layer, during the creation of new intersection points. Each intersection identification number is a unique value.SECT_ID: Section ID used by the Bureau of Street Services. Values: • none - No Section ID value • private - Private street • closed - Street is closed from service • temp - Temporary • propose - Proposed construction of a street • walk - Street line is a walk or walkway • known as - • numeric value - A 7 digit numeric value for street resurfacing • outside - Street line segment is outside the City of Los Angeles boundary • pierce - Street segment type • alley - Named alleySTSFX_A: Street suffix Alias.SFXDIR: Street direction suffix Values: • N - North • E - East • W - West • S - SouthCRTN_DT: Creation date of the polygon feature.STNAME: Street name.ZIP_L: Zip code left.STSFX: Street suffix. Values: • BLVD - BoulevardADLT: To address range, left side.ID: Unique line segment identifierMAPSHEET: The alpha-numeric mapsheet number, which refers to a valid B-map or A-map number on the Cadastral tract index map. Values: • B, A, -5A - Any of these alpha-numeric combinations are used, whereas the underlined spaces are the numbers.STNUM: Street identification number. This field relates to the Official Street Name table named EASIS, to the corresponding STR_ID field.ASSETID: User-defined feature autonumber.TEMP: This attribute is no longer used. This attribute was used to enter 'R' for reference arc line segments that were added to the spatial data, in coverage format. Reference lines were temporary and not part of the final data layer. After editing the permanent line segments, the user would delete temporary lines given by this attribute.LST_MODF_DT: Last modification date of the polygon feature.REMARKS: This attribute is a combination of remarks about the street centerline. Values include a general remark, the Council File number, which refers the street status, or whether a private street is a private driveway. The Council File number can be researched on the City Clerk's website http://cityclerk.lacity.org/lacityclerkconnect/INT_ID_FROM: Street intersection identification number at the line segment's start node. The value relates to the intersection layer attribute table, to the CL_NODE_ID field. The values are assigned automatically and consecutively by the ArcGIS software first to the street centerline data layer and then the intersections data layer, during the creation of new intersection points. Each intersection identification number is a unique value.ADRF: From address range, right side.

  7. l

    Prevalence of Adult Obesity, 2013-2014

    • geohub.lacity.org
    • visionzero.geohub.lacity.org
    • +3more
    Updated May 3, 2018
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    Los Angeles Department of Transportation (2018). Prevalence of Adult Obesity, 2013-2014 [Dataset]. https://geohub.lacity.org/datasets/ladot::prevalence-of-adult-obesity-2013-2014/geoservice
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    Dataset updated
    May 3, 2018
    Dataset authored and provided by
    Los Angeles Department of Transportation
    Area covered
    Description

    Adult respondents 18+ who had a body mass index (BMI) of 30.0 or above. Years covered are from 2013-2014 by zip code. Data taken from the California Health Interview Survey Neighborhood Edition (AskCHIS NE) (http://askchisne.ucla.edu/), downloaded February 2018.AskCHIS Neighborhood Edition is an online data dissemination and visualization platform that provides health estimates at sub-county geographic regions. Estimates are powered by data from The California Health Interview Survey (CHIS). CHIS is conducted by The UCLA Center for Health Policy Research, an affiliate of UCLA Fielding School of Public Health.Health estimates available in AskCHIS NE (Neighborhood Edition) are model-based small area estimates (SAEs).SAEs are not direct estimates (estimates produced directly from survey data, such as those provided through AskCHIS).CHIS data and analytic results are used extensively in California in policy development, service planning and research, and is recognized and valued nationally as a model population-based health survey.Before using estimates from AskCHIS NE, it is recommended that you read more about the methodology and data limitations at: http://healthpolicy.ucla.edu/Lists/AskCHIS%20NE%20Page%20Content/AllItems.aspx. You can go to http://askchisne.ucla.edu/ to create your own account.Produced by The California Health Interview Survey and The UCLA Center for Health Policy Research and compiled by the Los Angeles County Department of Public Health. "Field Name = Field Definition"Zipcode" = postal zip code in the City of Los Angeles “Percent” = estimated percentage of adult respondents ages 18+ who had a body mass index (BMI) of 30.0 or above 18 and older residing in zip code "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 "Population" = estimated population 18 and older (denominator) residing in the zip code Notes: 1) Zip codes are based on the Los Angeles Housing Department Zip Codes Within the City of Los Angeles map (https://media.metro.net/about_us/pla/images/lazipcodes.pdf).2) Zip codes that did not have data available (i.e., null values) are not included in the dataset; there are additional zip codes that fall within the City of Los Angeles.3) Zip code boundaries do not align with political boundaries. These data are best viewed with a City of Los Angeles political boundary file (i.e., City of Los Angeles jurisdiction boundary, City Council boundary, etc.) FAQS: 1. Which cycle of CHIS does AskCHIS Neighborhood Edition provide estimates for?All health estimates in this version of AskCHIS Neighborhood Edition are based on data from the 2013-2014 California Health Interview Survey. 2. Why do your population estimates differ from other sources like ACS? The population estimates in AskCHIS NE represent the CHIS 2013-2014 population sample, which excludes Californians living in group quarters (such as prisons, nursing homes, and dormitories). 3. Why isn't there data available for all ZIP codes in Los Angeles?While AskCHIS NE has data on all ZCTAs (Zip Code Tabulation Areas), two factors may influence our ability to display the estimates:A small population (under 15,000): currently, the application only shows estimates for geographic entities with populations above 15,000. If your ZCTA has a population below this threshold, the easiest way to obtain data is to combine it with a neighboring ZCTA and obtain a pooled estimate.A high coefficient of variation: high coefficients of variation denote statistical instability.

  8. l

    Physical Activity (Walking) in Adults, 2013-2014

    • geohub.lacity.org
    • visionzero.geohub.lacity.org
    • +2more
    Updated May 3, 2018
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    Los Angeles Department of Transportation (2018). Physical Activity (Walking) in Adults, 2013-2014 [Dataset]. https://geohub.lacity.org/datasets/ladot::physical-activity-walking-in-adults-2013-2014
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    Dataset updated
    May 3, 2018
    Dataset authored and provided by
    Los Angeles Department of Transportation
    Area covered
    Description

    Adult respondents 18+ who walked for transportation or leisure for at least 150 minutes in the past week. Years covered are from 2013-2014 by zip code. Data taken from the California Health Interview Survey Neighborhood Edition (AskCHIS NE) (http://askchisne.ucla.edu/), downloaded February 2018.AskCHIS Neighborhood Edition is an online data dissemination and visualization platform that provides health estimates at sub-county geographic regions. Estimates are powered by data from The California Health Interview Survey (CHIS). CHIS is conducted by The UCLA Center for Health Policy Research, an affiliate of UCLA Fielding School of Public Health.Health estimates available in AskCHIS NE (Neighborhood Edition) are model-based small area estimates (SAEs).SAEs are not direct estimates (estimates produced directly from survey data, such as those provided through AskCHIS).CHIS data and analytic results are used extensively in California in policy development, service planning and research, and is recognized and valued nationally as a model population-based health survey.Before using estimates from AskCHIS NE, it is recommended that you read more about the methodology and data limitations at: http://healthpolicy.ucla.edu/Lists/AskCHIS%20NE%20Page%20Content/AllItems.aspx. You can go to http://askchisne.ucla.edu/ to create your own account.Produced by The California Health Interview Survey and The UCLA Center for Health Policy Research and compiled by the Los Angeles County Department of Public Health. "Field Name = Field Definition"Zipcode" = postal zip code in the City of Los Angeles “Percent” = adults ages 18+ who walked for transportation or leisure for at least 150 minutes in the past week"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 "Population" = estimated population 18 and older (denominator) residing in the zip code Notes: 1) Zip codes are based on the Los Angeles Housing Department Zip Codes Within the City of Los Angeles map (https://media.metro.net/about_us/pla/images/lazipcodes.pdf).2) Zip codes that did not have data available (i.e., null values) are not included in the dataset; there are additional zip codes that fall within the City of Los Angeles.3) Zip code boundaries do not align with political boundaries. These data are best viewed with a City of Los Angeles political boundary file (i.e., City of Los Angeles jurisdiction boundary, City Council boundary, etc.) FAQS: 1. Which cycle of CHIS does AskCHIS Neighborhood Edition provide estimates for?All health estimates in this version of AskCHIS Neighborhood Edition are based on data from the 2013-2014 California Health Interview Survey. 2. Why do your population estimates differ from other sources like ACS? The population estimates in AskCHIS NE represent the CHIS 2013-2014 population sample, which excludes Californians living in group quarters (such as prisons, nursing homes, and dormitories). 3. Why isn't there data available for all ZIP codes in Los Angeles?While AskCHIS NE has data on all ZCTAs (Zip Code Tabulation Areas), two factors may influence our ability to display the estimates:A small population (under 15,000): currently, the application only shows estimates for geographic entities with populations above 15,000. If your ZCTA has a population below this threshold, the easiest way to obtain data is to combine it with a neighboring ZCTA and obtain a pooled estimate.A high coefficient of variation: high coefficients of variation denote statistical instability.

  9. l

    Prevalence of Adult Diabetes, 2013-2014

    • geohub.lacity.org
    • visionzero.geohub.lacity.org
    • +2more
    Updated May 3, 2018
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    Los Angeles Department of Transportation (2018). Prevalence of Adult Diabetes, 2013-2014 [Dataset]. https://geohub.lacity.org/maps/3b4b657ca12e4271872c00a67f683310
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    Dataset updated
    May 3, 2018
    Dataset authored and provided by
    Los Angeles Department of Transportation
    Area covered
    Description

    Adult respondents ages 18+ who were ever diagnosed with diabetes by a doctor. Years covered are from 2013-2014 by zip code. Data taken from the California Health Interview Survey Neighborhood Edition (AskCHIS NE) (http://askchisne.ucla.edu/), downloaded February 2018. AskCHIS Neighborhood Edition is an online data dissemination and visualization platform that provides health estimates at sub-county geographic regions. Estimates are powered by data from The California Health Interview Survey (CHIS). CHIS is conducted by The UCLA Center for Health Policy Research, an affiliate of UCLA Fielding School of Public Health.Health estimates available in AskCHIS NE (Neighborhood Edition) are model-based small area estimates (SAEs).SAEs are not direct estimates (estimates produced directly from survey data, such as those provided through AskCHIS).CHIS data and analytic results are used extensively in California in policy development, service planning and research, and is recognized and valued nationally as a model population-based health survey.Before using estimates from AskCHIS NE, it is recommended that you read more about the methodology and data limitations at: http://healthpolicy.ucla.edu/Lists/AskCHIS%20NE%20Page%20Content/AllItems.aspx. You can go to http://askchisne.ucla.edu/ to create your own account.Produced by The California Health Interview Survey and The UCLA Center for Health Policy Research and compiled by the Los Angeles County Department of Public Health. "Field Name = Field Definition"Zipcode" = postal zip code in the City of Los Angeles “Percent” = estimated percentage of adult respondents ages 18+ who were ever diagnosed with diabetes by a doctor"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 "Population" = estimated population 18 and older (denominator) residing in the zip code Notes: 1) Zip codes are based on the Los Angeles Housing Department Zip Codes Within the City of Los Angeles map (https://media.metro.net/about_us/pla/images/lazipcodes.pdf).2) Zip codes that did not have data available (i.e., null values) are not included in the dataset; there are additional zip codes that fall within the City of Los Angeles.3) Zip code boundaries do not align with political boundaries. These data are best viewed with a City of Los Angeles political boundary file (i.e., City of Los Angeles jurisdiction boundary, City Council boundary, etc.) FAQS: 1. Which cycle of CHIS does AskCHIS Neighborhood Edition provide estimates for?All health estimates in this version of AskCHIS Neighborhood Edition are based on data from the 2013-2014 California Health Interview Survey. 2. Why do your population estimates differ from other sources like ACS? The population estimates in AskCHIS NE represent the CHIS 2013-2014 population sample, which excludes Californians living in group quarters (such as prisons, nursing homes, and dormitories). 3. Why isn't there data available for all ZIP codes in Los Angeles?While AskCHIS NE has data on all ZCTAs (Zip Code Tabulation Areas), two factors may influence our ability to display the estimates:A small population (under 15,000): currently, the application only shows estimates for geographic entities with populations above 15,000. If your ZCTA has a population below this threshold, the easiest way to obtain data is to combine it with a neighboring ZCTA and obtain a pooled estimate.A high coefficient of variation: high coefficients of variation denote statistical instability.

  10. a

    LA CRIME ANALYSIS

    • uscssi.hub.arcgis.com
    Updated Dec 3, 2021
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    Spatial Sciences Institute (2021). LA CRIME ANALYSIS [Dataset]. https://uscssi.hub.arcgis.com/maps/235f4f1a2bf446329f7e9ac0149671cd
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    Dataset updated
    Dec 3, 2021
    Dataset authored and provided by
    Spatial Sciences Institute
    Area covered
    Description

    This interactive map symbolizes the population of total homeless individuals with small to large blue circles in each zip code. Additional homeless population demographics available by pop-up.

  11. d

    City map with postcodes boundaries

    • datos.gob.es
    • data.europa.eu
    Updated Jul 9, 2020
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    Ayuntamiento de Terrassa (2020). City map with postcodes boundaries [Dataset]. https://datos.gob.es/en/catalogo/l01082798-mapa-de-la-ciudad-con-las-divisiones-por-codigos-postales1
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    Dataset updated
    Jul 9, 2020
    Dataset authored and provided by
    Ayuntamiento de Terrassa
    License

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

    Description

    City map with postcodes boundaries

  12. a

    LA Homeless Population by Zip Code Copy

    • uscssi.hub.arcgis.com
    Updated Dec 3, 2021
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    Spatial Sciences Institute (2021). LA Homeless Population by Zip Code Copy [Dataset]. https://uscssi.hub.arcgis.com/maps/f405f3286fcc498a98fe29567dcb69e5
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    Dataset updated
    Dec 3, 2021
    Dataset authored and provided by
    Spatial Sciences Institute
    Area covered
    Description

    This interactive map symbolizes the population of total homeless individuals with small to large blue circles in each zip code. Additional homeless population demographics available by pop-up.

  13. a

    CIELO Indigenous Languages Survey

    • equity-lacounty.hub.arcgis.com
    • geohub.lacity.org
    • +2more
    Updated Feb 8, 2025
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    County of Los Angeles (2025). CIELO Indigenous Languages Survey [Dataset]. https://equity-lacounty.hub.arcgis.com/datasets/cielo-indigenous-languages-survey
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    Dataset updated
    Feb 8, 2025
    Dataset authored and provided by
    County of Los Angeles
    Area covered
    Description

    This data set contains all of the indigenous languages captured from CIELO surveys by Zip Code. Survey results are visualized on the LA County Limited English Communities map at https://apps.gis.lacounty.gov/static/ARDI/limited-english/.Created by: Lupe Renteria SalomeDate Created: 8/29/2024Last modified: 12/19/2024Source: USC Equity Research Institute analysis of outreach data collected by Comunidades Indígenas en Liderazgo (CIELO), Los Angeles County, 2021-2023.Data Included:Individuals who self-reported "yes" to the question of being from an indigenous community and/or reported that they speak an Indigenous language.You will find a "Blank" and "0" column that counts respondents who did not report an indigenous language. Subtract these counts from the "total" column to calculate total respondents who reported speaking any indigenous language.Data set includes all reported values for zip_code, some that may not be complete zip codes or not in LA County.

  14. l

    Prevalence of Adult Asthma, 2013-2014

    • visionzero.geohub.lacity.org
    • geohub.lacity.org
    • +1more
    Updated May 3, 2018
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    Los Angeles Department of Transportation (2018). Prevalence of Adult Asthma, 2013-2014 [Dataset]. https://visionzero.geohub.lacity.org/datasets/cabe5663e01948dfa4bc31922c2c791b
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    Dataset updated
    May 3, 2018
    Dataset authored and provided by
    Los Angeles Department of Transportation
    Area covered
    Description

    Adult respondents ages 18+ who were ever diagnosed with asthma by a doctor. Years covered are from 2013-2014 by zip code. Data taken from the California Health Interview Survey Neighborhood Edition (AskCHIS NE) (http://askchisne.ucla.edu/), downloaded February 2018. AskCHIS Neighborhood Edition is an online data dissemination and visualization platform that provides health estimates at sub-county geographic regions. Estimates are powered by data from The California Health Interview Survey (CHIS). CHIS is conducted by The UCLA Center for Health Policy Research, an affiliate of UCLA Fielding School of Public Health.Health estimates available in AskCHIS NE (Neighborhood Edition) are model-based small area estimates (SAEs).SAEs are not direct estimates (estimates produced directly from survey data, such as those provided through AskCHIS).CHIS data and analytic results are used extensively in California in policy development, service planning and research, and is recognized and valued nationally as a model population-based health survey.Before using estimates from AskCHIS NE, it is recommended that you read more about the methodology and data limitations at: http://healthpolicy.ucla.edu/Lists/AskCHIS%20NE%20Page%20Content/AllItems.aspx. You can go to http://askchisne.ucla.edu/ to create your own account.Produced by The California Health Interview Survey and The UCLA Center for Health Policy Research and compiled by the Los Angeles County Department of Public Health. "Field Name = Field Definition "Zipcode" = postal zip code in the City of Los Angeles “Percent” = estimated percentage of adult respondents ages 18+ who were ever diagnosed with asthma by a doctor"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 "Population" = estimated population 18 and older (denominator) residing in the zip code Notes: 1) Zip codes are based on the Los Angeles Housing Department Zip Codes Within the City of Los Angeles map (https://media.metro.net/about_us/pla/images/lazipcodes.pdf).2) Zip codes that did not have data available (i.e., null values) are not included in the dataset; there are additional zip codes that fall within the City of Los Angeles.3) Zip code boundaries do not align with political boundaries. These data are best viewed with a City of Los Angeles political boundary file (i.e., City of Los Angeles jurisdiction boundary, City Council boundary, etc.) FAQS: 1. Which cycle of CHIS does AskCHIS Neighborhood Edition provide estimates for?All health estimates in this version of AskCHIS Neighborhood Edition are based on data from the 2013-2014 California Health Interview Survey. 2. Why do your population estimates differ from other sources like ACS? The population estimates in AskCHIS NE represent the CHIS 2013-2014 population sample, which excludes Californians living in group quarters (such as prisons, nursing homes, and dormitories). 3. Why isn't there data available for all ZIP codes in Los Angeles?While AskCHIS NE has data on all ZCTAs (Zip Code Tabulation Areas), two factors may influence our ability to display the estimates:A small population (under 15,000): currently, the application only shows estimates for geographic entities with populations above 15,000. If your ZCTA has a population below this threshold, the easiest way to obtain data is to combine it with a neighboring ZCTA and obtain a pooled estimate.A high coefficient of variation: high coefficients of variation denote statistical instability.

  15. p

    Louisiana Planting Zones Dataset

    • plantingzonesbyzipcode.com
    Updated Jul 31, 2024
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    plantingzonesbyzipcode (2024). Louisiana Planting Zones Dataset [Dataset]. https://plantingzonesbyzipcode.com/louisiana/
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    Dataset updated
    Jul 31, 2024
    Dataset authored and provided by
    plantingzonesbyzipcode
    License

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

    Area covered
    Variables measured
    Location Data, Zone Classification
    Description

    Comprehensive dataset of USDA plant hardiness zones for Louisiana cities, parishes, and ZIP codes, covering zones 8b through 10b.

  16. ONS Postcode Directory (February 2023) for the UK (V2)

    • geoportal.statistics.gov.uk
    • hub.arcgis.com
    Updated Feb 22, 2023
    + more versions
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    Office for National Statistics (2023). ONS Postcode Directory (February 2023) for the UK (V2) [Dataset]. https://geoportal.statistics.gov.uk/datasets/a2f8c9c5778a452bbf640d98c166657c
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    Dataset updated
    Feb 22, 2023
    Dataset authored and provided by
    Office for National Statisticshttp://www.ons.gov.uk/
    License

    https://www.ons.gov.uk/methodology/geography/licenceshttps://www.ons.gov.uk/methodology/geography/licences

    Area covered
    Description

    This is the ONS Postcode Directory (ONSPD) for the United Kingdom as at February 2023 in Comma Separated Variable (CSV) and ASCII text (TXT) formats. This file contains the multi CSVs so that postcode areas can be opened in MS Excel. To download the zip file click the Download button. The ONSPD relates both current and terminated postcodes in the United Kingdom to a range of current statutory administrative, electoral, health and other area geographies. It also links postcodes to pre-2002 health areas, 1991 Census enumeration districts for England and Wales, 2001 Census Output Areas (OA) and Super Output Areas (SOA) for England and Wales, 2001 Census OAs and SOAs for Northern Ireland and 2001 Census OAs and Data Zones (DZ) for Scotland. It now contains 2021 Census OAs and SOAs for England and Wales. It helps support the production of area based statistics from postcoded data. The ONSPD is produced by ONS Geography, who provide geographic support to the Office for National Statistics (ONS) and geographic services used by other organisations. The ONSPD is issued quarterly. (File size - 234 MB)NOTE: The 2022 ONSPDs included an incorrect update of the ITL field with two LA changes in Northamptonshire. This error has been corrected from the February 2023 ONSPD.NOTE: There was an issue with the originally published file where some change orders yet to be included in OS Boundary-LineÔ (including The Cumbria (Structural Changes) Order 2022, The North Yorkshire (Structural Changes) Order 2022 and The Somerset (Structural Changes) Order 2022) were mistakenly implemented for terminated postcodes. Version 2 corrects this, so that ward codes E05014171–E05014393 are not yet included. Please note that this product contains Royal Mail, Gridlink, LPS (Northern Ireland), Ordnance Survey and ONS Intellectual Property Rights.

  17. a

    Prevalence of Adult Heart Disease, 2013-2014

    • hub.arcgis.com
    • geohub.lacity.org
    • +1more
    Updated May 3, 2018
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    Los Angeles Department of Transportation (2018). Prevalence of Adult Heart Disease, 2013-2014 [Dataset]. https://hub.arcgis.com/datasets/ee35f54298cc4d76894b00af1d47a369
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    Dataset updated
    May 3, 2018
    Dataset authored and provided by
    Los Angeles Department of Transportation
    Area covered
    Description

    Adult respondents ages 18+ who were ever diagnosed with heart disease by a doctor. Years covered are from 2013-2014 by zip code. Data taken from the California Health Interview Survey Neighborhood Edition (AskCHIS NE) (http://askchisne.ucla.edu/), downloaded February 2018.AskCHIS Neighborhood Edition is an online data dissemination and visualization platform that provides health estimates at sub-county geographic regions. Estimates are powered by data from The California Health Interview Survey (CHIS). CHIS is conducted by The UCLA Center for Health Policy Research, an affiliate of UCLA Fielding School of Public Health.Health estimates available in AskCHIS NE (Neighborhood Edition) are model-based small area estimates (SAEs).SAEs are not direct estimates (estimates produced directly from survey data, such as those provided through AskCHIS).CHIS data and analytic results are used extensively in California in policy development, service planning and research, and is recognized and valued nationally as a model population-based health survey.Before using estimates from AskCHIS NE, it is recommended that you read more about the methodology and data limitations at: http://healthpolicy.ucla.edu/Lists/AskCHIS%20NE%20Page%20Content/AllItems.aspx. You can go to http://askchisne.ucla.edu/ to create your own account.Produced by The California Health Interview Survey and The UCLA Center for Health Policy Research and compiled by the Los Angeles County Department of Public Health. "Field Name = Field Definition"Zipcode" = postal zip code in the City of Los Angeles “Percent” = estimated percentage of adult respondents ages 18+ who were ever diagnosed with heart disease by a doctor"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 "Population" = estimated population 18 and older (denominator) residing in the zip code Notes: 1) Zip codes are based on the Los Angeles Housing Department Zip Codes Within the City of Los Angeles map (https://media.metro.net/about_us/pla/images/lazipcodes.pdf).2) Zip codes that did not have data available (i.e., null values) are not included in the dataset; there are additional zip codes that fall within the City of Los Angeles.3) Zip code boundaries do not align with political boundaries. These data are best viewed with a City of Los Angeles political boundary file (i.e., City of Los Angeles jurisdiction boundary, City Council boundary, etc.) FAQS: 1. Which cycle of CHIS does AskCHIS Neighborhood Edition provide estimates for?All health estimates in this version of AskCHIS Neighborhood Edition are based on data from the 2013-2014 California Health Interview Survey. 2. Why do your population estimates differ from other sources like ACS? The population estimates in AskCHIS NE represent the CHIS 2013-2014 population sample, which excludes Californians living in group quarters (such as prisons, nursing homes, and dormitories). 3. Why isn't there data available for all ZIP codes in Los Angeles?While AskCHIS NE has data on all ZCTAs (Zip Code Tabulation Areas), two factors may influence our ability to display the estimates:A small population (under 15,000): currently, the application only shows estimates for geographic entities with populations above 15,000. If your ZCTA has a population below this threshold, the easiest way to obtain data is to combine it with a neighboring ZCTA and obtain a pooled estimate.A high coefficient of variation: high coefficients of variation denote statistical instability.

  18. a

    Supervisorial Districts (2021)

    • egis-lacounty.hub.arcgis.com
    • data.lacounty.gov
    • +2more
    Updated Mar 8, 2022
    + more versions
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    County of Los Angeles (2022). Supervisorial Districts (2021) [Dataset]. https://egis-lacounty.hub.arcgis.com/datasets/lacounty::supervisorial-districts-2021-5/about
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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

  19. a

    311 Citizen Request for Service All Requests

    • data-ebrgis.opendata.arcgis.com
    • gisdata.brla.gov
    • +3more
    Updated Feb 1, 2021
    + more versions
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    East Baton Rouge GIS Map Portal (2021). 311 Citizen Request for Service All Requests [Dataset]. https://data-ebrgis.opendata.arcgis.com/maps/fcbbac9a67dd467ca6566f22d3f4f3d1
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    Dataset updated
    Feb 1, 2021
    Dataset authored and provided by
    East Baton Rouge GIS Map Portal
    Area covered
    Description

    The 311 Citizen Request for Service Parent Type hosted feature layer displays the last 365 days of citizen service requests in East Baton Rouge Parish, Louisiana. The data in this layer is categorized by service request parent type including:BlightCode ViolationDrainage and FloodingEnvironmentalGarbageMowing and TreeNeighborhood and SubdivisionRecyclingRoad MaintenanceSewer and WastewaterStreet and TrafficThe data includes attribute fields for applying filters such as date range, council district, neighborhood, or ZIP code.

  20. Not seeing a result you expected?
    Learn how you can add new datasets to our index.

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lahub_admin (2015). Zip Codes (LA County) [Dataset]. https://hub.arcgis.com/maps/lahub::zip-codes-la-county

Zip Codes (LA County)

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5 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Nov 14, 2015
Dataset authored and provided by
lahub_admin
Area covered
Description

Zip code boundaries from Los Angeles County.

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