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Food Security Indicators Data
Data Science and Analytics
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About
The data is provided in a CSV file format, specifically named
prevalence-of-undernourishment new.csv, with a size of 150.98 kB. It is structured with 4 columns and contains 4455 valid records, offering a substantial collection of data points on global undernourishment.Usage
This data is well-suited for applications in global health monitoring, development policy analysis, and food security research. It can be utilised to:
- Track progress and identify challenges in achieving the UN Sustainable Development Goal to end hunger.
- Conduct trend analysis on undernourishment rates across various regions and over time.
- Inform the design and evaluation of food aid programmes and nutritional interventions.
- Support academic research into the socio-economic and environmental factors influencing food insecurity.
- Create visualisations to communicate global hunger statistics to a wider audience.
Coverage
The data offers a global perspective on undernourishment, with specific data points available for 210 unique entities, including countries and regions. Geographically, it illustrates that rates of hunger are notably high in Sub-Saharan Africa and South Asia, contrasting with lower rates in the Americas, East Asia, North America, and Europe. Rates for North America and Europe are typically presented as "below 2.5%" by the FAO, rather than a specific point estimate. The time range spans from the year 2000 through to 2022. While primarily focused on general population undernourishment, it also draws attention to the critical impact of undernourishment on mothers and children.
License
CC0: Public Domain
Who Can Use It
This data will be valuable for a wide array of users, including:
- International Organisations (e.g., UN, FAO): For monitoring global food security and reporting on SDG progress.
- Government Agencies: To inform national and international development policies and humanitarian aid.
- Researchers and Academics: For studies on global health, nutrition, economics, and sustainable development.
- Non-Governmental Organisations (NGOs): To support advocacy campaigns and resource allocation for hunger relief.
- Data Analysts and Scientists: For creating predictive models, visualisations, and statistical reports on food security.
- Journalists and Educators: To inform public discourse and educational programmes on global hunger.
Dataset Name Suggestions
- Global Undernourishment Prevalence
- World Hunger Statistics 2000-2022
- Food Security Indicators Data
- SDG 2 Hunger Progress Tracker
- Country-Level Undernourishment Rates
Attributes
Original Data Source: Food Security Indicators Data
QUALITY