International Crop Yields and Economic Productivity
Data Science and Analytics
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About
The essential relationship between agricultural output, global population increase, and the long-term viability of the environment is explored here. This data acts as a crucial element in understanding human survival and responsible environmental management. It highlights the imperative to improve agricultural productivity to feed an expanding populace while reducing pressure on natural ecosystems, thereby mitigating issues like deforestation, soil degradation, and water scarcity. Elevating these yields is positioned as not only an economic necessity but a matter of social justice, offering a means of emancipating the marginalised from the burdens of hunger and deprivation. The pursuit of enhanced agricultural yields involves transformative solutions, ranging from genetic engineering to precision farming.
Columns
- country: The name of the country (187 unique values).
- Codes: The country codes associated with the data entries (175 unique values).
- Year: The year of the recorded measurement, spanning from 1991 to 2019.
- Agriculture, forestry, and fishing, value added per worker (constant 2015 US$): The primary metric measuring productivity in the agriculture, forestry, and fishing sectors, expressed as value added per worker in constant 2015 US dollars.
Distribution
The dataset contains 4873 records, structured in a file named
agriculture-value-added-per-worker-wdi new.csv. Data integrity is strong, with zero missing or mismatched values reported across the key fields. The visualisations related to this data were initially crafted using Loocker studio, Tableau, and Canva.Usage
This product is ideal for studies investigating global food security challenges and poverty reduction efforts. It can be utilised by researchers examining the effectiveness of agricultural innovations, such as genetically modified organisms (GMOs) or precision agriculture technologies underpinned by IoT sensors and analytics. Policy makers can leverage this data to develop strategies supporting sustainable intensification, which harnesses agroecological principles to reconcile productivity with ecological resilience through methods like agroforestry and cover cropping.
Coverage
The dataset covers 187 distinct countries globally. The time range spans from 1991 to 2019. The availability of data is consistent across this period.
License
CC0: Public Domain
Who Can Use It
Academics and researchers studying economic development and agricultural efficiency. Policy analysts focused on meeting global sustainable development goals. NGOs working to address hunger and food deprivation. Agricultural innovators seeking to understand regional productivity trends to target technology deployment. Organisations focused on empowering smallholder farmers with access to technologies, finances, and knowledge resources.
Dataset Name Suggestions
- Global Agricultural Value Added Per Worker (1991-2019)
- International Crop Yields and Economic Productivity
- Agriculture, Forestry, and Fishing Productivity Index
Attributes
Original Data Source:International Crop Yields and Economic Productivity
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