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.

This dataset contains data of total production of different types of foods in per year in each country from 1961-2023 of all country. The foods are: 1. Maize
2. Rice
3. Yams
4. Wheat 5. Tomatoes 6. Tea
7. Sweet potatoes
8. Sunflower seed
9. Sugar cane 10. Soybeans
11. Rye
12. Potatoes
13. Oranges
14. Peas dry
15. Palm oil
16. Grapes 17. Coffee green
18. Cocoa beans
19. Meat chicken
20. Bananas
21. Avocados
22. Apples

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

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.

The particularities of agriculture, as a sector which ensures food supply, result from many factors, including the multilateral interaction between the environment and human activity. The extent of human intervention in the food production process is usually measured with the amount of capital expenditure. Therefore, the food production potential and the resulting food security depend on both natural and economic factors. This paper identifies the current status of food security in different countries around the world, considering both aspects (physical and economic availability) combined together. The variables published by FAO were used together with a variable estimated based on the author’s own methodology to identify 8 groups of countries characterized by economic development level, net trade in agricultural products, and selected variables related to agriculture and food situation. As shown by this study, the degree to which food security is ensured with domestic supply varies strongly across the globe. Domestic production provides a foundation for food security in wealthy countries, usually located in areas with favorable conditions for agriculture (including North America, Australia, New Zealand, Kazakhstan) and in countries which, though characterized by a relatively small area of arable land per capita, demonstrate high production intensity (mainly European countries). International trade largely contributes to food security in Middle East and North African countries as well as in selected South American countries which are net importers of food products. The most problematic food situation continues to affect Sub-Saharan Africa and Central Asia.

Global Food Gross Production by Country, 2023 Discover more data with ReportLinker!

The average for 2022 based on 42 countries was 100.8 index points. The highest value was in Turkey: 128.9 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.

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

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.

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.

As of 2023, Niger registered the agricultural sector's highest contribution to the GDP in Africa, at over ** percent. Comoros and Ethiopia followed, with agriculture, forestry, and fishing accounting for approximately ** percent and ** percent of the GDP, respectively. On the other hand, Botswana, Djibouti, Libya, Zambia, and South Africa were the African countries with the lowest percentage of the GDP generated by the agricultural sector. Agriculture remains a pillar of Africa’s economy Despite the significant variations across countries, agriculture is a key sector in Africa. In 2022, it represented around ** percent of Sub-Saharan Africa’s GDP, growing by over *** percentage points compared to 2011. The agricultural industry also strongly contributes to the continent’s job market. The number of people employed in the primary sector in Africa grew from around *** million in 2011 to *** million in 2021. In proportion, agriculture employed approximately ** percent of Africa’s working population in 2021. Agricultural activities attracted a large share of the labor force in Central, East, and West Africa, which registered percentages over the regional average. On the other hand, North Africa recorded the lowest share of employment in agriculture, as the regional economy relies significantly on the industrial and service sectors. Cereals are among the most produced crops Sudan and South Africa are the African countries with the largest agricultural areas. Respectively, they devote around *** million and **** million hectares of land to growing crops. Agricultural production varies significantly across African countries in terms of products and volume. Cereals such as rice, corn, and wheat are among the main crops on the continent, also representing a staple in most countries. The leading cereal producers are Ethiopia, Nigeria, Egypt, and South Africa. Together, they recorded a cereal output of almost *** million metric tons in 2021. Additionally, rice production was concentrated in Nigeria, Egypt, Madagascar, and Tanzania.

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.

Exports of agricultural products from the United States of America came to ******* billion U.S. dollars in 2022. The third-largest exporter of agricultural products was the Netherlands. This is likely due to the country's role as a major European shipping hub. Brazil exported agricultural products worth, ******** U.S. dollars.

The average for 2022 based on 53 countries was 117.1 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.

This dataset contains detailed annual data on crop and livestock production compiled by the Food and Agriculture Organization (FAO) of the United Nations. It spans 1961 to 2023, covering more than 200 countries and territories, and includes:

🌾 Crops & Livestock: From staple grains like wheat and rice to niche items like anise or caraway.

🌍 Geographic Coverage: Global, with specific data for each country or region.

📆 Time Period: 1961–2023

📐 Metrics Provided: Area harvested (hectares) Production (tonnes) Yield (kg/ha)

This cleaned version of the dataset (NOFLAG) removes flags and notes, making it ideal for data analysis and machine learning projects.

Columns Column Name : Description Area Code : Numeric code for the country or region Area : Country or region name Item Code : Numeric code for the crop/livestock item Item : Name of the crop or livestock item Element Code : Numeric code indicating the metric type Element : Type of measurement (Area, Yield, Production) Unit : Unit of measurement (ha, t, kg/ha) Y1961 to Y2023 : Annual values for the metric in that year

Each row represents one (Country, Crop, Metric) combination across years.

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

This statistic shows the results of a survey in which respondents were asked to identify types of foods that they think the United Kingdom is a leader in the manufacturing of, when compared to other countries, in 2015. The dairy sector and crisps and snacks were both identified by the majority of respondents as being led by the UK compared to other countries at ** percent, followed by alcoholic drinks at ** percent.

The Potential Impacts of Climate Change on World Food Supply: Datasets from a Major Crop Modeling Study contain projected country and regional changes in grain crop yields due to global climate change. Equilibrium and transient scenarios output from General Circulation Models (GCMs) with three levels of farmer adaptations to climate change were utilized to generate crop yield estimates of wheat, rice, coarse grains (barley and maize), and protein feed (soybean) at 125 agricultural sites representing major world agricultural regions. Projected yields at the agricultural sites were aggregated to major trading regions, and fed into the Basic Linked Systems (BLS) global trade model to produce country and regional estimates of potential price increases, food shortages, and risk of hunger. These datasets are produced by the Goddard Institute for Space Studies (GISS) and are distributed by the Columbia University Center for International Earth Science Information Network (CIESIN).

This dataset is the basis for the International Food Security Assessment, 2016-2026 released in June 2016. This annual ERS report projects food availability and access for 76 low- and middle-income countries over a 10-year period. 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.

Please note that the following information along with the dataset is taken from http://www.fao.org/faostat/en/#data/QC From the Food and Agriculture Organization of the United Nations (FAO)

Context

Crop statistics are recorded for 173 products, covering the following categories: Crops Primary, Fibre Crops Primary, Cereals, Coarse Grain, Citrus Fruit, Fruit, Jute Jute-like Fibres, Oilcakes Equivalent, Oil crops Primary, Pulses, Roots and Tubers, Tree nuts and Vegetables and Melons. Data are expressed in terms of area harvested, production quantity, and yield. The objective is to comprehensively cover the production of all primary crops for all countries and regions in the world. Cereals: Area and production data on cereals relate to crops harvested for dry grain only. Cereal crops harvested for hay or harvested green for food, feed, or silage or used for grazing are therefore excluded. Area data relate to harvested area. Some countries report sown or cultivated area only

If FAO is to carry out its work successfully it will need to know where and why hunger and malnutrition exist, what forms they take, and how widespread they are. Such data will serve as a basis for making plans, determining the efficacy of measures used, and measuring progress from time to time.

Content

Statistical concepts and definitions - Areas refer to the area under cultivation. Area under cultivation means the area that corresponds to the total sown area, but after the harvest it excludes ruined areas (e.g. due to natural disasters). If the same land parcel is used twice in the same year, the area of this parcel can be counted twice. For tree crops, some countries provide data in terms of number of trees instead of in area. This number is then converted to an area estimate using typical planting density conversions. Production means the harvested production. Harvested production means production including on-holding losses and wastage, quantities consumed directly on the farm and marketed quantities, indicated in units of basic product weight. Harvest year means the calendar year in which the harvest begins. Yield means the harvested production per ha for the area under cultivation. Seed quantity comprises all amounts of the commodity in question used during the reference period for reproductive purposes, such as seed or seedlings. Whenever official data are not available, seed figures can be estimated either as a percentage of production or by multiplying a seed rate (the average amount of seed needed per hectare planted) with the planted area of the particular crop of the subsequent year. Usually, the average seed rate in any given country does not vary greatly from year to year.

Statistical unit: Agriculture holdings cultivated for the production of crops.

Statistical population: All areas cultivated with crops in a country.

Reference area: All countries of the world and geographical aggregates according to the United Nations M-49 list.

Time coverage: 1961-2018 (up to 2017 for all elements computed from FBS framework, e.g. seed, derived/processed commodities)

Periodicity: Annual

Pelase note that the information on flags and units used can be found along with the dataset.

Acknowledgements

Food and Agriculture Organization of the United Nations (FAO), Statistics Division (ESS), Environment Statistics team, Mr. Salar Tayyib. Source - http://www.fao.org/faostat/en/#data/QC/metadata

Inspiration

Initially found this dataset when I was working on a school project regarding the crops most popular in spain. Found this extremely useful in determining the most popular crops and visualizing the same.