27.8% of total calories in the Brazilian diet came from ready-to-consume products by 2008-2009, up from 23.0% in 2002-2003. This dataset contains household food purchase records from four Brazilian Household Budget Surveys, with food items classified by industrial processing level and converted to energy (calories). The data was analyzed by researchers from Universidade de São Paulo to track temporal trends in diet composition.
Use Cases
- Analyzing temporal trends in diet composition based on the caloric share of different food processing groups.
- Modeling the relationship between household income and ultra-processed food consumption based on data aggregated by income quintiles.
- Conducting comparative studies on food system changes using data from metropolitan and national household surveys.
Strengths
- Data spans 22 years across four distinct survey periods (1987-1988, 1995-1996, 2002-2003, 2008-2009).
- Includes national-level estimates for the last two surveys, with breakdowns by income quintiles.
- Specific caloric share percentages for food groups are provided in the description, indicating derived metrics are available.
Limitations
- Column-level documentation is absent; field semantics must be inferred after download.
- Row count and dataset size are unknown, which may limit suitability assessment.
- Last update date is unknown; freshness unverified.
Provenance
- Source
- Household Budget Surveys conducted by the Brazilian government.
- Collection Method
- Probabilistic samples of households, with food purchase records as the unit of analysis.
- Time Range
- 1987-2009
- Geography
- Brazil (metropolitan areas for first two surveys, national for last two)