Baselight

Causes Of Death By ZIP Code

1999-2013 California Residents by Place of Residence

@kaggle.thedevastator_causes_of_death_by_zip_code

About this Dataset

Causes Of Death By ZIP Code


Causes of Death by ZIP Code

1999-2013 California Residents by Place of Residence

By Health [source]


About this dataset

This dataset contains a comprehensive record of death counts by cause of death in California for the years 1999-2013. It includes information about the place of residence of the deceased, regardless of where the death actually occurred. By looking at this dataset, we can gain insight into potential correlations between geographic area and mortality rates due to certain causes, as well as gain better understanding in leading causes of death. Whether you're a public health official seeking more data on community health surveillance or simply a curious individual looking to delve deeper into why people die, this dataset provides key insights valuable to all

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How to use the dataset

This dataset provides information on the causes of death for California residents by Zip Code from 1999-2013. With this data, you can gain insights into mortality rates that can be used to inform public health policy and research.

To use this dataset, first determine which variables you want to examine in more detail – Year, ZIP Code, Causes of Death, Count and Location – as each offers different information about a particular zip code or cause of death.

Next look at the raw data from each column to see patterns or trends within the data. Are there certain places that have higher death counts? Are certain causes of death more prevalent than others? What are the total number of deaths by year or location? These questions help identify interesting trends in the data for further exploration.

You can then create graphs and charts using subsets of the data to compare these variables over time and/or geography in order identify any correlations between them. This helps locate problem spots with higher than normal mortality rates. Finally you might want to build predictive models (if additional data is available) to better understand why certain ZIP codes have higher mortality rates than others based on environmental factors such as proximity to medical facilities or pollution levels within a given area

Research Ideas

  • Create a heat map of death by causes and location to identify areas of concern for healthcare professionals and policy makers.
  • Design campaigns or initiatives that target specific areas with high mortality rates, such as poverty-stricken neighborhoods or communities with inadequate medical care access.
  • Analyze trends in death rates over time, by Zip Code and Cause of Death, to inform prevention campaigns and public health policies

Acknowledgements

If you use this dataset in your research, please credit the original authors.
Data Source

License

License: Open Database License (ODbL) v1.0

  • You are free to:
    • Share - copy and redistribute the material in any medium or format.
    • Adapt - remix, transform, and build upon the material for any purpose, even commercially.
  • You must:
    • Give appropriate credit - Provide a link to the license, and indicate if changes were made.
    • ShareAlike - You must distribute your contributions under the same license as the original.
    • Keep intact - all notices that refer to this license, including copyright notices.
    • No Derivatives - If you remix, transform, or build upon the material, you may not distribute the modified material.
    • No additional restrictions - You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.

Columns

File: Leading_Cause_of_Death_By_Zip_Code_DD.csv


File: rows.csv

Column name Description
Year The year in which the death occurred. (Integer)
ZIP Code The ZIP Code of the place of residence of the deceased. (String)
Causes of Death The cause of death for the individual. (String)
Count The number of deaths due to the specified cause in the specified ZIP Code and year. (Integer)

Acknowledgements

If you use this dataset in your research, please credit the original authors.
If you use this dataset in your research, please credit Health.

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