China was the leading agricultural producer worldwide in 2023, with over a trillion international U.S. dollars. India ranked second, with an agricultural production value of *** billion international U.S. dollars. Ukraine's and Russia's production amounted to ***** and ***** billion international U.S. dollars, respectively. This makes these countries the **** and *** ranked agricultural producers by production value.

In 2019, Food Net Production Per Capita Index in Laos jumped by 3.1% compared to a year earlier.

This statistic shows the total agricultural production in South East Asia in 2013, by country. In 2013, the total production of agricultural goods in Thailand was about ** million U.S. dollars.

The average for 2022 based on 27 countries was 98.9 index points. The highest value was in Ireland: 121.5 index points and the lowest value was in Hungary: 74.7 index points. The indicator is available from 1961 to 2022. Below is a chart for all countries where data are available.

Monthly report on crop acreage, yield and production in major countries worldwide. Sources include reporting from FAS’s worldwide offices, official statistics of foreign governments, and analysis of economic data and satellite imagery.

In 2021, Saudi Arabia had the highest food production share in the Gulf Cooperation Council, at **** percent.The total food consumption share reached around ***** million metric tonnes in the same year.

CONTENT :

• Largest Producing Countries of Agricultural commodities Fruits & Vegetalble :

• Production (and consumption) of agricultural plant commodities has a diverse geographical distribution. Along with climate and corresponding types of vegetation, the economy of a nation also influences the level of agricultural production. Production of some products is highly concentrated in a few countries, China, the leading producer of wheat and ramie in 2013, produces 6% of the world's ramie fiber but only 17% of the world's wheat. Products with more evenly distributed production see more frequent changes in the ranking of the top producers.

• The major agricultural products can be broadly categorised into foods, fibers, fuels, and raw materials.

• Vegetables

• As of 2020, FAOSTAT, Food and Agriculture Organization of the United Nations:

• Vegetables are parts of plants that are consumed by humans or other animals as food. The original meaning is still commonly used and is applied to plants collectively to refer to all edible plant matter, including the flowers, fruits, stems, leaves, roots, and seeds. An alternative definition of the term is applied somewhat arbitrarily, often by culinary and cultural tradition. It may exclude foods derived from some plants that are fruits, flowers, nuts, and cereal grains, but include savoury fruits such as tomatoes and courgettes, flowers such as broccoli, and seeds such as pulses.

• Fruits

• As of 2020, FAOSTAT, Food and Agriculture Organization of the United Nations:

• Fruits are the means by which flowering plants (also known as angiosperms) disseminate their seeds. Edible fruits in particular have long propagated using the movements of humans and animals in a symbiotic relationship that is the means for seed dispersal for the one group and nutrition for the other; in fact, humans and many animals have become dependent on fruits as a source of food.[1] Consequently, fruits account for a substantial fraction of the world's agricultural output, and some (such as the apple and the pomegranate) have acquired extensive cultural and symbolic meanings.

Brazil was the leading agricultural producer in Latin America and the Caribbean in 2023. With *** billion international U.S. dollars. Mexico ranked second with an agricultural production value of **** billion U.S. dollars. Argentina ranked third with about ** billion U.S. dollars.

European Prepared Pet Food Production Value by Country, 2023 Discover more data with ReportLinker!

The easy access to large data sets has allowed for leveraging methodology in network physics and complexity science to disentangle patterns and processes directly from the data, leading to key insights in the behavior of systems. Here we use country specific food production data to study binary and weighted topological properties of the bipartite country-food production matrix. This country-food production matrix can be: 1) transformed into overlap matrices which embed information regarding shared production of products among countries, and or shared countries for individual products, 2) identify subsets of countries which produce similar commodities or subsets of commodities shared by a given country allowing for visualization of correlations in large networks, and 3) used to rank country fitness (the ability to produce a diverse array of products weighted on the type of food commodities) and food specialization (quantified on the number of countries producing a specific food product weighted on their fitness). Our results show that, on average, countries with high fitness produce both low and high specializion food commodities, whereas nations with low fitness tend to produce a small basket of diverse food products, typically comprised of low specializion food commodities.

The average for 2022 based on 47 countries was 117.7 index points. The highest value was in Senegal: 177.5 index points and the lowest value was in the Gambia: 71.1 index points. The indicator is available from 1961 to 2022. Below is a chart for all countries where data are available.

World Food production index measures the changes in the production of food commodity in a given year relative to base year in all countries. @OpenStat. I used dataset on World Bank data

Method of Computation. Food Production Index = (Production in the current year / Production in base year) * 100

https://databank.worldbank.org/reports.aspx?source=2&series=AG.PRD.FOOD.XD&country=#

Increasing the efficiency of agricultural production—getting more output from the same amount of resources—is critical for improving food security. To measure the efficiency of agricultural systems, we use total factor productivity (TFP). TFP is an indicator of how efficiently agricultural land, labor, capital, and materials (agricultural inputs) are used to produce a country’s crops and livestock (agricultural output)—it is calculated as the ratio of total agricultural output to total production inputs. When more output is produced from a constant amount of resources, meaning that resources are being used more efficiently, TFP increases. Measures of land and labor productivity—partial factor productivity (PFP) measures—are calculated as the ratio of total output to total agricultural area (land productivity) and to the number of economically active persons in agriculture (labor productivity). Because PFP measures are easy to estimate, they are often used to measure agricultural production performance. These measures normally show higher rates of growth than TFP, because growth in land and labor productivity can result not only from increases in TFP but also from a more intensive use of other inputs (such as fertilizer or machinery). Indicators of both TFP and PFP contribute to the understanding of agricultural systems needed for policy and investment decisions by enabling comparisons across time and across countries and regions. The data file provides estimates of IFPRI's TFP and PFP measures for developing countries for three-sub-periods between 1991 and 2014(1991-2000,2001-2010 and 2010-2014). These TFP and PFP estimates were generated using the most recent data from Economic Research Service of the United States Department of Agriculture (ERS-USDA), the FAOSTAT database of the Food and Agriculture Organization of the United Nations (FAO), and national statistical sources.

Description

This dataset contains information on crops and livestock products, sourced from FAOSTAT. It provides data for various countries and regions, covering annual statistics on harvested area, yield, and production. Data includes item codes, measurement units, and additional metadata such as flags indicating data reliability (e.g., estimated or official figures). The dataset supports agricultural and economic research for food production analysis.

Attributes

• Domain: Type of products (e.g., Crops and Livestock).
• Area: Geographical region or country.
• Element: Data type (e.g., harvested area, yield, production).
• Item: Specific product or commodity.
• Year: Year of data collection.
• Unit: Measurement unit for the data value.
• Value: The actual statistical measurement.
• Flag Description: Data reliability or source type.

*The Item Code (CPC) in the dataset refers to a standardized code used to identify specific agricultural products or items. It is derived from the Central Product Classification (CPC) system, which is an international standard maintained by the United Nations. This system is used to classify goods and services for economic analysis.*

Purpose of CPC Codes

Identification:

Each product, such as "Almonds, in shell" or "Wheat," is assigned a unique CPC code.

Standardization:

Facilitates international comparability and harmonization of data.

Economic Analysis:

Supports tracking of production, trade, and consumption statistics globally.

Example from Dataset

For instance:

• Item Code (CPC): 01371
• Item: "Almonds, in shell"

The CPC code helps ensure consistent identification and analysis of "Almonds, in shell" across datasets and countries.

Collection Methodology of the Dataset

Crop Production Data

1. Data Types and Collection:

• Data is primarily collected for harvested areas, though for permanent crops, it may reflect planted areas.

• Yields are computed using detailed area and production data, with higher reliability for temporary crops compared to permanent crops (e.g., coffee and cocoa).

2. Specific Crops:

• Cereals:

Data only covers crops harvested for dry grain, excluding those harvested for hay or silage. The area data corresponds to harvested areas unless only sown or cultivated areas are reported.

• Vegetables:

Statistics often refer to field crops grown for sale, excluding small-scale household gardens.

• Fruit:

Data covers fresh fruit production for food or processing but excludes production from wild plants or scattered trees.

3. Estimation and Reliability:

• Data for non-reporting countries are estimated.
• Data collection is inconsistent across countries, leading to variations in coverage for certain crops and regions.

4. Sources:

• Governments provide data through national publications and FAO questionnaires.
• Supplemental data from unofficial sources and international organizations ensure broader coverage.

Livestock Production Data

1. Livestock Numbers: - Covers all domestic animals, regardless of age or breeding purpose. Estimates are included for non-reporting countries or incomplete data.

2. Dairy and Egg Production: - Milk production includes whole fresh milk, excluding milk consumed by young animals. - Egg data may be derived from poultry numbers and estimated laying rates in countries lacking direct statistics.

3. Sources and Reliability: - Governments contribute through annual FAO questionnaires. Incomplete data is supplemented with estimates based on available indicators.

Time Reference

• Data is organized by calendar year, though some countries report based on agricultural or marketing years. When necessary, adjustments align these periods to a standard calendar year.

Totals and Aggregation

• Continental and world totals include only countries in the dataset. Rounding and coverage differences may cause discrepancies.

Data Sources and Enhancements

• Official government reports, supplemented by data from national and international organizations, aim to ensure completeness. Unofficial data may be incorporated when official data is lacking.

This comprehensive approach ensures that the dataset reflects a broad and detailed view of global agricultural production, though some data inconsistencies and gaps are acknowledged.

No Endorsement:

*The FAO does not endorse any specific interpretation, use, or analysis of this data beyond the context of its intended use for research, policy analysis, and decision-making. The FAO d...

European Homogenised Food Preparations and Dietetic Food Production Value by Country, 2023 Discover more data with ReportLinker!

India Agricultural Production: Major Crops: Achievements: Pulses data was reported at 27.504 Ton mn in 2023. This records an increase from the previous number of 27.302 Ton mn for 2022. India Agricultural Production: Major Crops: Achievements: Pulses data is updated yearly, averaging 12.840 Ton mn from Mar 1956 (Median) to 2023, with 68 observations. The data reached an all-time high of 27.504 Ton mn in 2023 and a record low of 8.350 Ton mn in 1967. India Agricultural Production: Major Crops: Achievements: Pulses data remains active status in CEIC and is reported by Directorate of Economics and Statistics, Department of Agriculture and Farmers Welfare. The data is categorized under India Premium Database’s Agriculture Sector – Table IN.RIB002: Agricultural Production: Targets & Achievement of Major Crops.

In 2019, Prepared Pet Food Production Value in Poland jumped by 2.5% compared to a year earlier.

The main aims of statistic on the overall distribution of land and agricultural production are: offering precise information on the area, production and destination of agricultural output in the Basque Country, determining the sown area and expected output of the main agricultural crops (according to a pre-established calendar) and determining the area under protected crops and nurseries. The information obtained also provides the basis to compile the annual accounts for the agri-food sector.

AbstractResearch into the origins of food plants has led to the recognition that specific geographical regions around the world have been of particular importance to the development of agricultural crops. Yet the relative contributions of these different regions in the context of current food systems have not been quantified. Here we determine the origins (‘primary regions of diversity’) of the crops comprising the food supplies and agricultural production of countries worldwide. We estimate the degree to which countries use crops from regions of diversity other than their own (‘foreign crops’), and quantify changes in this usage over the past 50 years. Countries are highly interconnected with regard to primary regions of diversity of the crops they cultivate and/or consume. Foreign crops are extensively used in food supplies (68.7% of national food supplies as a global mean are derived from foreign crops) and production systems (69.3% of crops grown are foreign). Foreign crop usage has increased significantly over the past 50 years, including in countries with high indigenous crop diversity. The results provide a novel perspective on the ongoing globalization of food systems worldwide, and bolster evidence for the importance of international collaboration on genetic resource conservation and exchange. Usage notesTableS1_crops_regions_tableTable S1. Crop commodities assessed in food supplies and agricultural production systems analyses and their primary regions of diversity. Taxonomy follows GRIN (2015) [25].TableS2_countries_regions_tableTable S2. Countries assessed in food supplies and agricultural production systems analyses and their associated regions.TableS3_regionalcomposition_tocountriesTable S3. Importance of primary regions of diversity of agricultural crops in contribution to national food supplies [as measured in contribution of crops to calories (kcal/capita/day), protein (g/capita/day), fat (g/capita/day), and food weight (g/capita/day)] and national agricultural production [production quantity (tonnes), harvested area (ha), and production value (million US$)], averaged over years 2009-2011. Importance was estimated by grouping the contribution of consumed/produced crops by their primary regions of diversity. As some crops pertain to more than one primary region of diversity, total values across all primary regions per country is not equivalent to total per capita food supply/ total agricultural production values per country. Percentages provide a comparison of the relative importance of primary regions in contribution to the food supply/national production of each country.TableS4_regionalcomposition_toregions_2009-2011Table S4. Importance of primary regions of diversity of agricultural crops in contribution to regional food supplies [as measured in contribution of crops to calories (kcal/capita/day), protein (g/capita/day), fat (g/capita/day), and food weight (g/capita/day),] and total regional agricultural production [production quantity (tonnes), harvested area (ha), and production value (million US$)], averaged over years 2009-2011. Regional food supplies values (kcal or g, /capita/day) were formed by deriving a population-weighted average of national food supplies values across countries comprising each region. Regional production values were formed by summing national production values across countries comprising each region. Importance was estimated by grouping the contribution of consumed/produced crops by their primary regions of diversity. As some crops pertain to more than one primary region of diversity, total values across all primary regions per consuming/producing region is not equivalent to total per capita food supply/ total agricultural production values per consuming/producing region. Percentages provide a comparison of the relative importance of primary regions in contribution to the food supply/total production of each region.TableS5_cropcomposition_ofregionsTable S5. Crop commodity composition of regional food supplies [as measured in contribution of crops to calories (kcal/capita/day), protein (g/capita/day), fat (g/capita/day), and food weight (g/capita/day),] and total regional agricultural production [production quantity (tonnes), harvested area (ha), and production value (million US$)], averaged over years 2009-2011. Regional food supplies values (kcal or g, /capita/day) were formed by deriving a population-weighted average of national food supplies values across countries comprising each region. Regional production values were formed by summing national production values across countries comprising each region.TableS6_util_foreign_2009-2011Table S6. Estimated percent use of foreign crops in current national food supplies and agricultural production systems. Data includes the raw mean minimum and maximum use values across years 2009-2011 per country, and the mean value between minimum and maximum per country across these years, as well as modeled mean values and...

This dataset measures food availability and access for 76 low- and middle-income countries. The dataset includes annual country-level data on area, yield, production, nonfood use, trade, and consumption for grains and root and tuber crops (combined as R&T in the documentation tables), food aid, total value of imports and exports, gross domestic product, and population compiled from a variety of sources. This dataset is the basis for the International Food Security Assessment 2015-2025 released in June 2015. This annual ERS report projects food availability and access for 76 low- and middle-income countries over a 10-year period. Countries (Spatial Description, continued): Democratic Republic of the Congo, Ecuador, Egypt, El Salvador, Eritrea, Ethiopia, Gambia, Georgia, Ghana, Guatemala, Guinea, Guinea-Bissau, Haiti, Honduras, India, Indonesia, Jamaica, Kenya, Kyrgyzstan, Laos, Lesotho, Liberia, Madagascar, Malawi, Mali, Mauritania, Moldova, Mongolia, Morocco, Mozambique, Namibia, Nepal, Nicaragua, Niger, Nigeria, North Korea, Pakistan, Peru, Philippines, Rwanda, Senegal, Sierra Leone, Somalia, Sri Lanka, Sudan, Swaziland, Tajikistan, Tanzania, Togo, Tunisia, Turkmenistan, Uganda, Uzbekistan, Vietnam, Yemen, Zambia, and Zimbabwe. Resources in this dataset:Resource Title: CSV File for all years and all countries. File Name: gfa25.csvResource Title: International Food Security country data. File Name: GrainDemandProduction.xlsxResource Description: Excel files of individual country data. Please note that these files provide the data in a different layout from the CSV file. This version of the data files was updated 9-2-2021

More up-to-date files may be found at: https://www.ers.usda.gov/data-products/international-food-security.aspx