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Worldwide Meat Consumption Analysis
Food & Beverage Consumption
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About
Information on historical meat consumption in various regions and countries helps to understand patterns of consumption around the world over time. Meat consumption has been an important part of human diets for thousands of years, providing a rich source of protein and nutrients. This data is valuable for researchers and policymakers interested in understanding the historical and cultural context of meat consumption and its impact on human health, the environment, and food systems. By analysing the data, trends and patterns in meat consumption can be identified that may be associated with changes in diet, lifestyle, and socio-economic factors.
Columns
- location: The country where the measurement was taken, for example, AUS or CAN.
- indicator: An indicator for the type of data, which is consistently 'MEATCONSUMP'.
- subject: The specific type of meat being measured, such as 'BEEF'.
- measure: The unit of measurement, either thousand tonnes ('THND_TONNE') or kilograms per capita ('KG_CAP').
- frequency: The frequency of the measurement, which is annual ('A').
- time: The year the measurement was recorded.
- value: The numerical value of the meat consumption measurement.
Distribution
The dataset is distributed as a single CSV file (
meat_consumption.csv) with a size of 672.54 kB. It contains approximately 12,100 records across 7 columns.Usage
This dataset is ideal for forecasting meat consumption trends around the world. It can be used for regression analysis to identify patterns and trends. Researchers can use it to analyse the historical and cultural context of meat consumption and its impact on health and food systems. The information can be used to inform public health policies and dietary guidelines.
Coverage
The dataset covers 39 unique countries and regions globally. The time range spans from 1990 to 2028.
License
Attribution 4.0 International (CC BY 4.0)
Who Can Use It
- Researchers: To analyse trends and patterns in meat consumption and its impact on health, the environment, and food systems.
- Policymakers: To inform public health policies and develop sustainable dietary guidelines.
- Data Analysts: To practise regression modelling and forecast future consumption patterns.
- Students: As a beginner-friendly dataset for learning about data analysis in the business, food, and nutrition sectors.
Dataset Name Suggestions
- Global Meat Consumption Trends (1990-2028)
- Historical Meat Consumption by Country
- Worldwide Meat Consumption Analysis
- Meat Consumption and Production Data
Attributes
Original Data Source: Worldwide Meat Consumption Analysis
QUALITY