Key facts
Contents & fields
This dataset contains yearly global indicators from 1960 to 2024, covering GDP (nominal and PPP-adjusted), food insecurity index, health expenditure, income inequality (GINI), and detailed food price indices (overall, meat, dairy, cereals, vegetable oils, and sugar). The dataset is structured to support multicausal econometric modeling, including VAR and mediation analysis.
- GDP (nominal)—Nominal GDP
- GDP (PPP-adjusted)—GDP adjusted for purchasing power parity
- Food insecurity index—Index of food insecurity
- Health expenditure—Health expenditure
- Income inequality (GINI)—Income inequality measured by GINI coefficient
- Food price index (overall)—Overall food price index
- Food price index (meat)—Meat food price index
- Food price index (dairy)—Dairy food price index
- Food price index (cereals)—Cereals food price index
- Food price index (vegetable oils)—Vegetable oils food price index
- Food price index (sugar)—Sugar food price index
Research uses
Suitable for multicausal econometric modeling, such as VAR and mediation analysis, on the interconnections among income, food prices, food insecurity, and health expenditure.
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Keywords
Why this is hard to get on your own
When studying the complex causal relationships among income, food prices, food insecurity, and health expenditure, researchers often lack a unified dataset integrating multi-dimensional annual indicators.