World Development Health Statistics
Patient Health Records & Digital Health
Tags and Keywords
Trusted By




"No reviews yet"
Free
About
Contains key health status indicators such as infant mortality rates, life expectancy at birth, and Potential Years of Life Lost (PYLL). The infant mortality rate is the number of deaths of children under one year old per 1,000 live births, and variations can exist due to different registration practices for premature infants across countries. Life expectancy at birth estimates how long a newborn can expect to live if current death rates remain unchanged, serving as a vital health indicator influenced by living standards, lifestyle, education, and healthcare access. PYLL is a measure of premature mortality, weighting deaths at younger ages more heavily and calculated up to an age limit of 75.
Columns
- Country Name: The name of the country.
- Country Code: The unique code for the country.
- Indicator Name: The name of the health indicator being measured (e.g., 'Mortality rate, infant (per 1,000 live births)').
- Indicator Code: The unique code for the indicator (e.g., 'SP.DYN.IMRT.IN').
- age per year: Numerical data related to the indicator for a specific year.
- status age: Numerical data related to the indicator for a specific year.
- percetage age: Numerical data related to the indicator for a specific year.
- age percentage: Numerical data related to the indicator for a specific year.
- percentage age: Numerical data related to the indicator for a specific year.
- age mortaly: Numerical data related to the indicator for a specific year.
- (and 59 other year-based columns): The dataset contains numerous other columns representing data for different years, from approximately 1960 to 2020.
Distribution
- Format: T1.csv
- Size: 44.2 kB
- Structure: The dataset contains 118 records and 65 columns.
Usage
Ideal for analysing global health trends, comparing national health system performance, and conducting research in social sciences and public health. This data can be used for data analytics projects to explore the relationships between various socio-economic factors and health outcomes. It is also suitable for creating data visualisations and dashboards to illustrate changes in life expectancy and mortality rates over time.
Coverage
- Geographic Scope: The dataset includes data for 118 unique countries.
- Time Range: The data covers a period from approximately 1960 to 2020.
- Notes: The data is sourced from the UN Inter-agency Group for Child Mortality Estimation and World Development Indicators. Some international variation in infant mortality rates is due to differences in registering practices for premature infants.
License
CC0: Public Domain
Who Can Use It
- Public Health Researchers: To study trends in premature mortality and life expectancy.
- Policy Makers: To inform health policy and international development strategies.
- Data Scientists and Analysts: For statistical modelling and trend analysis of global health indicators.
- Students and Academics: For research and educational purposes in social science and global health.
Dataset Name Suggestions
- Global Health Indicators: Mortality and Life Expectancy
- World Development Health Statistics
- Infant Mortality and Life Expectancy Trends (1960-2020)
- Cross-Country Health Outcomes Analysis
Attributes
Original Data Source:World Development Health Statistics