Age-Adjusted Death Rates
Death Rates and Life Expectancy in the United States, 2011-2013
@kaggle.thedevastator_age_adjusted_death_rates
Death Rates and Life Expectancy in the United States, 2011-2013
@kaggle.thedevastator_age_adjusted_death_rates
By Health [source]
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In order to use this dataset, start by selecting a particular set of variables to investigate. You can choose from Measure Names (e.g., Death Rates or Life Expectancy), Race (e.g., All Races), Sex (Male/Female) and Year (2011-2013). Once you have selected your desired variables, you can begin analyzing the data by looking at mortality rates and life expectancy averages amongst different populations in the United States over time.
You may also wish to perform more detailed analyses such as identifying trends or examining correlations between features, regional disparities in mortality rates or changes in average life expectancies over time. If so, you can do so by creating line graphs plotted against one or more independent variables such as Race and Sex to see how demographics impact these statistics overall and on a yearly basis using the Year variable computed from July 1st 2010 estimates
- Analyzing mortality and life expectancy trends among certain races and sexes over time.
- Examining the effects of different socioeconomic factors on death rates and life expectancies.
- Making predictions about future mortality rates and average life expectancies with machine learning algorithms
If you use this dataset in your research, please credit the original authors.
Data Source
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.
File: rows.csv
| Column name | Description |
|---|---|
| Measure Names | The type of measure being reported. (String) |
| Race | The race of the population being reported. (String) |
| Sex | The gender of the population being reported. (String) |
| Year | The year the data was collected. (Integer) |
| Average Life Expectancy | The average life expectancy of the population being reported. (Float) |
| Mortality | The mortality rate of the population being reported. (Float) |
If you use this dataset in your research, please credit the original authors.
If you use this dataset in your research, please credit Health.
CREATE TABLE rows (
"index" BIGINT,
"measure_names" VARCHAR,
"race" VARCHAR,
"sex" VARCHAR,
"year" BIGINT,
"average_life_expectancy" DOUBLE,
"mortality" DOUBLE
);Anyone who has the link will be able to view this.