Historical Global Neonatal Deaths

Columns

• Geographic area: Specifies the country where the observation or estimate applies. The dataset includes 232 unique geographic areas.
• Indicator: The specific measurement used (e.g., Infant mortality rate, Under-five mortality rate).
• Sex: Provides demographic segmentation (e.g., male, female, total).
• Wealth Quintile: Breakdown by economic category, such as Q5 or Lowest.
• Series Name: The name of the underlying data source, such as a survey, census, or administrative data (e.g., UN IGME estimate).
• Series Year: The publication year associated with the source data (e.g., 2021).
• TIME_PERIOD: The specific year and month associated with the observation.
• OBS_VALUE: The quantity of deaths or the observation value itself, with values ranging up to 12.5 million.
• Observation Status: Indicates whether the data point was included or excluded in the Inter-agency Group for Child Mortality Estimation process.
• Unit of measure: The unit for the measurement (e.g., Deaths per 1000 live births, Number of deaths).
• Series Category: The type or category of the data series (e.g., VR).
• Series Type: Classification of the survey or data source (e.g., Vital Records).
• STD_ERR: The sampling standard error related to the observation value.
• REF_DATE: The mid-point of the reference period for the observation value.
• Age Group of Women: The age of the mothers.
• Time Since First Birth: Time elapsed since the first birth.
• DEFINITION: Classification used for stillbirth rate definitions.
• INTERVAL: The length, in years, of the reference interval.
• Series Method: The method used for data collection (e.g., Vital Registration).
• LOWER_BOUND: The lower boundary estimate for the value.
• UPPER_BOUND: The upper boundary estimate for the value.
• STATUS: Information regarding progress towards the Sustainable Development Goal (SDG) for neonatal mortality rate.
• YEAR_TO_ACHIEVE: The nominated year for achieving targets.
• Model Used: The estimation method employed for child mortality figures (e.g., BSR).

Distribution

Usage

• Epidemiological Analysis: Tracking and mapping historical trends in neonatal mortality across different countries and time periods.
• Policy Evaluation: Assessing the impact of global and national health programmes designed to reduce child mortality.
• Statistical Modelling: Creating predictive models for demographic changes or future child survival rates.
• Academic Research: Supporting deep dives into factors like sex, wealth quintile, and observation methods that correlate with mortality outcomes.

Coverage

License

Who Can Use It

• Non-Governmental Organisations (NGOs): To identify priority areas for intervention based on high mortality rates or slow progress toward goals.
• Governmental Health Departments: To benchmark national performance against global standards and inform domestic health strategy.
• Journalists and Data Visualisation Experts: To create accurate, impactful representations of historical child mortality data.

Dataset Name Suggestions

1. Global Neonatal Mortality Rate Estimates (1900–2020)
2. UN Inter-agency Group for Child Mortality Estimation (UN IGME) Data
3. Worldwide Infant Survival Statistics
4. Historical Global Neonatal Deaths

Attributes