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Historical World Health and Survival Rates
Data Science and Analytics
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About
Vital statistics regarding child survival and health outcomes are essential for monitoring global development goals. This record tracks child mortality numbers and rates across the globe, providing a historical view of public health trends. Sourced originally from UNICEF and extracted for analytical use, the information offers a granular look at the number of deaths of children aged one to four years, alongside total population figures. It serves as a resource for understanding demographic shifts and healthcare challenges spanning over five decades.
Columns
- Country: Name of the nation or territory.
- Year: The calendar year of the record (numeric format).
- Gender: Classification of the population segment (Male, Female).
- Child Mortality: The number of child deaths recorded for the age group of 1 to 4 years.
- Total Population: The total population count of the respective country for that year.
- Mortality Rate: The calculated ratio of child mortality to the total population.
Distribution
The data is structured as a Comma Separated Values (CSV) file, named
ChildMOrtalytRate.csv. It has a file size of approximately 1.92 MB. The file contains 30,900 valid records (rows) and comprises 7 specific columns.Usage
- Demographic Analysis: Examining historical population health trends and survival rates.
- Healthcare Research: Assessing the impact of global health initiatives on child survival over time.
- Data Visualisation: Creating choropleth maps or time-series charts to display mortality rates by region or gender.
- Educational Projects: Suitable for beginners in data analytics to practice cleaning, filtering, and visualising socio-economic metrics.
Coverage
- Geographic: Covers 197 unique countries.
- Temporal: Spans from 1967 to 2020.
- Demographic: Includes specific breakdowns for gender (Male and Female).
License
CC BY-NC-SA 4.0
Who Can Use It
- Academic Researchers: For longitudinal studies on public health.
- Non-Governmental Organisations (NGOs): To target regions requiring healthcare intervention.
- Data Science Students: For practicing exploratory data analysis (EDA) and visualisation techniques.
- Public Policy Analysts: To benchmark country performance against global standards.
Dataset Name Suggestions
- Global Child Mortality Statistics (1967–2020)
- Historical World Health and Survival Rates
- UNICEF Derived Child Mortality by Country
- International Child Death and Population Records
Attributes
Original Data Source: Historical World Health and Survival Rates
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