9 datasets found
  1. Death Profiles by ZIP Code

    • data.chhs.ca.gov
    csv, zip
    Updated Apr 22, 2025
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    California Department of Public Health (2025). Death Profiles by ZIP Code [Dataset]. https://data.chhs.ca.gov/dataset/death-profiles-by-zip-code
    Explore at:
    csv(80055974), csv(78958555), csv(4571), csv(80054609), csv(40627562), zipAvailable download formats
    Dataset updated
    Apr 22, 2025
    Dataset authored and provided by
    California Department of Public Healthhttps://www.cdph.ca.gov/
    Description

    This dataset contains counts of deaths for California residents by ZIP Code based on information entered on death certificates. Final counts are derived from static data and include out-of-state deaths of California residents. The data tables include deaths of residents of California by ZIP Code of residence (by residence). The data are reported as totals, as well as stratified by age and gender. Deaths due to all causes (ALL) and selected underlying cause of death categories are provided. See temporal coverage for more information on which combinations are available for which years.

    The cause of death categories are based solely on the underlying cause of death as coded by the International Classification of Diseases. The underlying cause of death is defined by the World Health Organization (WHO) as "the disease or injury which initiated the train of events leading directly to death, or the circumstances of the accident or violence which produced the fatal injury." It is a single value assigned to each death based on the details as entered on the death certificate. When more than one cause is listed, the order in which they are listed can affect which cause is coded as the underlying cause. This means that similar events could be coded with different underlying causes of death depending on variations in how they were entered. Consequently, while underlying cause of death provides a convenient comparison between cause of death categories, it may not capture the full impact of each cause of death as it does not always take into account all conditions contributing to the death.

  2. w

    Colorectal Cancer 2005-2009

    • data.wu.ac.at
    • bronx.lehman.cuny.edu
    • +1more
    csv, json, xml
    Updated Apr 17, 2013
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    NY State Dept of Health (2013). Colorectal Cancer 2005-2009 [Dataset]. https://data.wu.ac.at/schema/bronx_lehman_cuny_edu/eHh3dS05anFl
    Explore at:
    xml, json, csvAvailable download formats
    Dataset updated
    Apr 17, 2013
    Dataset provided by
    NY State Dept of Health
    Description

    colorectal cancer rates in Bronx zip codes for the years 2005-2009. The ZIP Code lists show the number of people who developed the specific type of cancer while living in the ZIP Code area between 2005 and 2009. The lists also show the number of people who might have been expected to get cancer in that time period, based on the size of the population of the ZIP Code. See http://www.health.ny.gov/statistics/cancer/registry/zipcode/faq.htm for more info

  3. S

    Breast Cancer 2005-2009

    • splitgraph.com
    • bronx.lehman.cuny.edu
    • +1more
    Updated Feb 15, 2019
    + more versions
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    NY State Dept of Health (2019). Breast Cancer 2005-2009 [Dataset]. https://www.splitgraph.com/bronx-lehman-cuny-edu/breast-cancer-20052009-9ejb-i5ke
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    application/vnd.splitgraph.image, application/openapi+json, jsonAvailable download formats
    Dataset updated
    Feb 15, 2019
    Dataset authored and provided by
    NY State Dept of Health
    License

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

    Description

    The ZIP Code lists show the number of people who developed the specific type of cancer while living in the ZIP Code area between 2005 and 2009. The lists also show the number of people who might have been expected to get cancer in that time period, based on the size of the population of the ZIP Code. For more info, see http://www.health.ny.gov/statistics/cancer/registry/zipcode/faq.htm

    Splitgraph serves as an HTTP API that lets you run SQL queries directly on this data to power Web applications. For example:

    See the Splitgraph documentation for more information.

  4. O

    ARCHIVED - Female Breast Cancer

    • data.sandiegocounty.gov
    application/rdfxml +5
    Updated Dec 17, 2019
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    County of San Diego (2019). ARCHIVED - Female Breast Cancer [Dataset]. https://data.sandiegocounty.gov/Health/ARCHIVED-Female-Breast-Cancer/c9w2-uiw2
    Explore at:
    application/rdfxml, json, csv, application/rssxml, tsv, xmlAvailable download formats
    Dataset updated
    Dec 17, 2019
    Dataset authored and provided by
    County of San Diego
    License

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

    Description

    Basic Metadata

    *Rates per 100,000 population. Age-adjusted rates per 100,000 2000 US standard population.

    **Blank Cells: Rates not calculated for fewer than 5 events. Rates not calculated in cases where zip code is unknown.

    ***API: Asian/Pacific Islander. ***AIAN: American Indian/Alaska Native.

    Prepared by: County of San Diego, Health & Human Services Agency, Public Health Services, Community Health Statistics Unit, 2019.

    Code Source: ICD-9CM - AHRQ HCUP CCS v2015. ICD-10CM - AHRQ HCUP CCS v2018. ICD-10 Mortality - California Department of Public Health, Group Cause of Death Codes 2013; NHCS ICD-10 2e-v1 2017.

    Data Guide, Dictionary, and Codebook: https://www.sandiegocounty.gov/content/dam/sdc/hhsa/programs/phs/CHS/Community%20Profiles/Public%20Health%20Services%20Codebook_Data%20Guide_Metadata_10.2.19.xlsx

  5. O

    2022 Non-Communicable (Chronic) Diseases

    • data.sandiegocounty.gov
    • splitgraph.com
    application/rdfxml +5
    Updated Aug 29, 2025
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    County of San Diego (2025). 2022 Non-Communicable (Chronic) Diseases [Dataset]. https://data.sandiegocounty.gov/w/a6z3-qh6u/by4r-nr9x?cur=viKALNW-jic&from=rU8uUBkc0eO
    Explore at:
    json, tsv, application/rdfxml, application/rssxml, xml, csvAvailable download formats
    Dataset updated
    Aug 29, 2025
    Dataset authored and provided by
    County of San Diego
    License

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

    Description

    Data by medical encounter for the following conditions by age, race/ethnicity, and sex (gender):

    Acute Myocardial Infarction (AMI) Asthma Bladder Cancer Brain Cancer Coronary Heart Disease (CHD) Colorectal Cancer Chronic Kidney Disease (CKD) Chronic Obstructive Pulmonary Disease (COPD)/Chronic Lower Respiratory Diseases Diabetes Female Breast Cancer Female Reproductive Cancer Heart Failure Hyperlipidemia (High Blood Cholesterol) Kidney Cancer Leukemia Liver Cancer Lung Cancer Lupus and Connective Tissue Disorders Melanoma of the Skin Non-Hodgkin's Lymphoma Non-melanoma Skin Cancer Overall Cancer Overall Heart Disease Overall Hypertensive Diseases Pancreatic Cancer Prostate Cancer Stroke Thyroid Cancer

    Rates per 100,000 population. Age-adjusted rates per 100,000 2000 US standard population. Blank Cells: Events less than 11 are suppressed. Starting with data year 2022, geographies with less than 20,000 population contain no age-adjusted rates and all rates based on events <20 are suppressed due to statistical instability. Rates not calculated in cases where zip code is unknown. SES: Is the median household income by Subregional Area (SRA) community. Data for SRA only.

    Data sources: California Department of Public Health, Center for Health Statistics, Office of Health Information and Research, Vital Records Business Intelligence System (VRBIS), 2022. California Department of Health Care Access and Information (HCAI), Emergency Department Discharge Database and Patient Discharge Database, 2022. SANDAG Population Estimates, 2022 (v11/23). 2022 population estimates were derived from the 2020 decennial census. Comparison of rates to prior years may not be appropriate. Prepared by: County of San Diego, Health and Human Services Agency, Public Health Services, Community Health Statistics Unit, May 2024.

    2022 Community Profile Data Guide and Data Dictionary Dashboard: https://public.tableau.com/app/profile/chsu/viz/2022COREDataGuideandDataDictionary/Home

  6. Prostate Cancer 2005-2009

    • bronx.lehman.cuny.edu
    • data.wu.ac.at
    Updated Apr 17, 2013
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    NY State Dept of Health (2013). Prostate Cancer 2005-2009 [Dataset]. https://bronx.lehman.cuny.edu/Health/Prostate-Cancer-2005-2009/aqd6-k38d
    Explore at:
    kml, xml, xlsx, csv, application/geo+json, kmzAvailable download formats
    Dataset updated
    Apr 17, 2013
    Dataset provided by
    New York State Department of Health
    Authors
    NY State Dept of Health
    License

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

    Description

    The ZIP Code lists show the number of people who developed the specific type of cancer while living in the ZIP Code area between 2005 and 2009. The lists also show the number of people who might have been expected to get cancer in that time period, based on the size of the population of the ZIP Code. See http://www.health.ny.gov/statistics/cancer/registry/zipcode/faq.htm for more info

  7. B

    Replication Code for: Independent effects of individual- and area-level...

    • borealisdata.ca
    • dataone.org
    Updated Dec 12, 2022
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    Talía Malagón; Samantha Morais (2022). Replication Code for: Independent effects of individual- and area-level income on site-specific cancer incidence in Canada from 2006–2015: a data linkage study [Dataset]. http://doi.org/10.5683/SP3/4Y15SN
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Dec 12, 2022
    Dataset provided by
    Borealis
    Authors
    Talía Malagón; Samantha Morais
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Area covered
    Canada
    Description

    The files included here are SAS code provided as documentation for reproducibility of results in the study titled: "Independent effects of individual- and area-level income on site-specific cancer incidence in Canada from 2006–2015: a data linkage study" by Parker Tope, Talía Malagón, Samantha Morais, Mariam El-Zein, and Eduardo L. Franco. Data Source: Statistics Canada, Canadian Census Health and Environment Cohorts 2006 & 2011, 2006 long-form census, 2011 National Household Survey, Canadian Vital Statistics Death Database 2006-2015, and Canadian Cancer Registry 2006-2015. The Postal CodeOM Conversion File Plus (7D) is based on data licensed by Canada Post Corporation. Reproduced and distributed on an "as is" basis with the permission of Statistics Canada. This does not constitute an endorsement by Statistics Canada of this product. Statistics Canada is the owner and steward of the data used in this report, and access to the data is regulated by the 1985 Statistics Act. To access the data, researchers must become deemed employees of Statistics Canada and sign a research contract. Members of post-secondary institutions such as faculty, students, or staff may apply for data access to Statistics Canada microdata through the Research Data Centre program using the Microdata Access Portal (https://www.statcan.gc.ca/en/microdata/data-centres/access).

  8. Area Deprivation Index (ADI)

    • redivis.com
    • columbia.redivis.com
    application/jsonl +7
    Updated Mar 2, 2021
    + more versions
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    Columbia Data Platform Demo (2021). Area Deprivation Index (ADI) [Dataset]. https://redivis.com/datasets/axrk-7jx8wdwc2
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    spss, avro, sas, parquet, stata, arrow, csv, application/jsonlAvailable download formats
    Dataset updated
    Mar 2, 2021
    Dataset provided by
    Redivis Inc.
    Authors
    Columbia Data Platform Demo
    Time period covered
    Jan 1, 2018 - Dec 31, 2020
    Description

    Abstract

    ADI: An index of socioeconomic status for communities. Dataset ingested directly from BigQuery.

    Documentation

    The Area Deprivation Index (ADI) can show where areas of deprivation and affluence exist within a community. The ADI is calculated with 17 indicators from the American Community Survey (ACS) having been well-studied in the peer-reviewed literature since 2003, and used for 20 years by the Health Resources and Services Administration (HRSA). High levels of deprivation have been linked to health outcomes such as 30-day hospital readmission rates, cardiovascular disease deaths, cervical cancer incidence, cancer deaths, and all-cause mortality. The 17 indicators from the ADI encompass income, education, employment, and housing conditions at the Census Block Group level.

    The ADI is available on BigQuery for release years 2018-2020 and is reported as a percentile that is 0-100% with 50% indicating a "middle of the nation" percentile. Data is provided at the county, ZIP, and Census Block Group levels. Neighborhood and racial disparities occur when some neighborhoods have high ADI scores and others have low scores. A low ADI score indicates affluence or prosperity. A high ADI score is indicative of high levels of deprivation. Raw ADI scores and additional statistics and dataviz can be seen in this ADI story with a BroadStreet free account.

    Dataset source: https://help.broadstreet.io/article/adi/

  9. O

    2021 Non-Communicable (Chronic) Diseases

    • data.sandiegocounty.gov
    application/rdfxml +5
    Updated Apr 25, 2023
    + more versions
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    County of San Diego (2023). 2021 Non-Communicable (Chronic) Diseases [Dataset]. https://data.sandiegocounty.gov/w/v7dt-rwpx/by4r-nr9x?cur=3iFmqVuXGUZ
    Explore at:
    csv, application/rssxml, application/rdfxml, tsv, json, xmlAvailable download formats
    Dataset updated
    Apr 25, 2023
    Dataset authored and provided by
    County of San Diego
    License

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

    Description

    Data by medical encounter for the following conditions by age, race/ethnicity, and gender:

    Acute Myocardial Infarction (AMI) Asthma Bladder Cancer Brain Cancer Coronary Heart Disease (CHD) Colorectal Cancer Chronic Obstructive Pulmonary Disease (COPD)/Chronic Lower Respiratory Diseases Diabetes Female Breast Cancer Female Reproductive Cancer Heart Failure Hyperlipidemia (High Blood Cholesterol) Kidney Cancer Leukemia Liver Cancer Lung Cancer Lupus and Connective Tissue Disorders Melanoma of the Skin Non-Hodgkin's Lymphoma Non-melanoma Skin Cancer Overall Cancer Overall Heart Disease Overall Hypertensive Diseases Pancreatic Cancer Prostate Cancer Stroke Thyroid Cancer

    Rates per 100,000 population. Age-adjusted rates per 100,000 2000 US standard population.
    Blank Cells: Rates not calculated for fewer than 11 events. Rates not calculated in cases where zip code is unknown. Geography not reported where there are no cases reported in a given year. SES: Is the median household income by SRA community. Data for SRAs only.

    Data sources: California Department of Public Health, Center for Health Statistics, Office of Health Information and Research, Vital Records Business Intelligence System (VRBIS), 2021. California Department of Health Care Access and Information (HCAI), Emergency Department Discharge Database and Patient Discharge Database, 2021. SANDAG Population Estimates, 2021 (vintage: 09/2022). Population estimates were derived using the 2010 Census and data should be considered preliminary. Prepared by: County of San Diego, Health and Human Services Agency, Public Health Services, Community Health Statistics Unit, March 2023.

    2021 Community Profile Data Guide and Data Dictionary Dashboard: https://public.tableau.com/app/profile/chsu/viz/2021CommunityProfilesDataGuideandDataDictionaryDashboards_16802003011430/HomePage

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

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California Department of Public Health (2025). Death Profiles by ZIP Code [Dataset]. https://data.chhs.ca.gov/dataset/death-profiles-by-zip-code
Organization logo

Death Profiles by ZIP Code

Explore at:
9 scholarly articles cite this dataset (View in Google Scholar)
csv(80055974), csv(78958555), csv(4571), csv(80054609), csv(40627562), zipAvailable download formats
Dataset updated
Apr 22, 2025
Dataset authored and provided by
California Department of Public Healthhttps://www.cdph.ca.gov/
Description

This dataset contains counts of deaths for California residents by ZIP Code based on information entered on death certificates. Final counts are derived from static data and include out-of-state deaths of California residents. The data tables include deaths of residents of California by ZIP Code of residence (by residence). The data are reported as totals, as well as stratified by age and gender. Deaths due to all causes (ALL) and selected underlying cause of death categories are provided. See temporal coverage for more information on which combinations are available for which years.

The cause of death categories are based solely on the underlying cause of death as coded by the International Classification of Diseases. The underlying cause of death is defined by the World Health Organization (WHO) as "the disease or injury which initiated the train of events leading directly to death, or the circumstances of the accident or violence which produced the fatal injury." It is a single value assigned to each death based on the details as entered on the death certificate. When more than one cause is listed, the order in which they are listed can affect which cause is coded as the underlying cause. This means that similar events could be coded with different underlying causes of death depending on variations in how they were entered. Consequently, while underlying cause of death provides a convenient comparison between cause of death categories, it may not capture the full impact of each cause of death as it does not always take into account all conditions contributing to the death.

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