FAOSTAT provides free access to food and agriculture data for over 245 countries and territories and covers all FAO regional groupings from 1961 to the most recent year available.

The dataset includes data on gross and net production indices for various food and agriculture aggregates expressed in both totals and per capita.

Food and Agriculture Organization of the United Nations (FAO).

This repository contains data files needed to run the gcamfaostat (v1.0.1) package. All the data are publicly available from FAOSTAT and they are downloaded from FAOSTAT in October 2024. This repo serves as an archive of the source data as FAOSTAT continues updating the data. Note that the zip files provide a snapshot of FAOSTAT data since the historical data may also be revised by FAO.

These data should be placed in inst/extdata/FAOSTAT in the R package gcamfaostat v1.0.1. They are used in the package to generate data used in the aglu/FAO folder in gcamdata for GCAM. The package structure ensures the processing is transparent, traceable, and reproducible. gcamfaostat v1.0.1 generates data for GCAM v7.3+.

We have now included more data from FAOSTAT (beyond gcamfaostat needs) and changed the archive version by date. E.g., version 2024.10.16 is downloaded around that date.

Note that gcamfaostat v1.0.0 used a version of FAOSTAT data downloaded in Fall 2022, which produced data in GCAM v7.0.

In this dataset, the main barley aspects are collected in order to monitor its trend in production and trade in Tunisia. The data are not collected in the field but downloaded from other web sources: FAOSTAT (http://www.fao.org/faostat/en/#data/QC) and Statistiques Tunisie (http://www.ins.tn/en/themes/agriculture). The period considered is from the year 1996 to 2014.

Global crop and livestock production value from 1961 to 2019, provided by United Nations. You can find this data and more on the website https://www.fao.org/faostat/en/#home

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.

Food Prices for Holy See.

Contains data from the FAOSTAT bulk data service.

The prevalence of the population whose habitual food consumption is insufficient to provide the dietary energy levels required to maintain an everyday active and healthy life. The Creative Commons Attribution-NonCommercial-ShareAlike 3.0 IGO (CC BY-NC-SA 3.0 IGO) specifies that you must give appropriate attribution and credit to FAO for any work produced using a dataset or when data is re-disseminated. The following citation is recommended: [© FAO] [Year of publication] [Title of content] [Page number (for publications)] [Location on FAO website] [Date accessed and/or downloaded] Example: © FAO 2023, Prevalence of Moderate and Severe Food Insecurity, https://www.fao.org/faostat/en/#country/220, Accessed on November 21, 2023

Food Security and Nutrition Indicators for Poland.

Contains data from the FAOSTAT bulk data service.

These files contain the source data for the decomposition analysis presented in "Drivers of increasing global crop production: a decomposition analysis". The raw data was sourced from the Food and Agricultural Organization of the United Nations (FAO). The file cropData.csv contains global crop data from 1961 to 2015 which has been prepared and aggregated as described in the paper. The file cropArea.csv contains aggregate global cropping area for each year during the same period.Original data source: FAO. Crops. License: CC BY-NC-SA 3.0 IGO. Extracted from: http://www.fao.org/faostat/en/. Date of Access: 24/05/2019

Food Security and Nutrition Indicators for Costa Rica.

Contains data from the FAOSTAT bulk data service.

Food Security and Nutrition Indicators for Türkiye.

Contains data from the FAOSTAT bulk data service.

Land use indicates the socioeconomic use of land (for example, agriculture, forestry, recreation or residential use). In particular it defines a number of services such as agriculture, forestry, industry, transport, housing and other services that use land as a natural and/or an economic resource. Land use has to be distinguished from Land Cover which refers instead to to the bio-physical coverage of land (for example, crops, grass, broad-leaved forest, or built-up area).The FAOSTAT Land Use domain includes categories of land primarily focusing on their use for agricultural and forestry activities. Definitions of these items (land categories) are available at: https://www.fao.org/faostat/en/#data/RL.These definitons are compliant with those included in the SEEA AFF, the SEEA CF and the Framework for the Development of Environmental Statistics (FDES 2013)

Part of the area equipped for irrigation, which is actually irrigated, in a given year. Often, part of the equipped area is not irrigated for various reasons, such as lack of water, absence of farmers, land degradation, damage, organizational problems etc. It only refers to physical areas. Irrigated land that is cultivated twice a year is counted once. This variable corresponds to the FAOSTAT variable [6611] ""Agriculture area actually irrigated"", whose definition is available here: http://www.fao.org/faostat/en/#data/RL.

The "Humid tropical forest burned biomass (Global - Yearly - tonne) - GHG Emissions from Biomass Fires" is one of the 31 Science Dataset (SDS) layers, this layer shows the burned biomass of Tropical Forest, at a resolution of 500 meters, and the unit of the data is 'tonne'. Data are updated annually from 2001 onwards. Last available year is 2021. Users are advised not to change the projection of the data.

For more detail, please visit the following report: IPCC 2006, 2006 IPCC Guidelines for National Greenhouse Gas Inventories, Prepared by the National Greenhouse Gas Inventories Programme, Eggleston H.S., Buendia L., Miwa K., Ngara T. and Tanabe K. (eds). Published: IGES, Japan. pp 2.40-2.49.

Data creation: 2022-05-27

Contact points:

Metadata Contact: FAOSTAT

Maintainer: Francesco Nicola Tubiello

Resource Contact: Giulia Conchedda

Maintainer: Leon Casse

Data lineage:

Greenhouse Gas (GHG) emissions estimates from biomass fires are computed within the geospatial cloud platform Google Earth Engine (GEE) applying the Intergovernmental Panel on Climate Change (IPCC) Tier 1 methods for fire emissions (IPCC, 2006, Guidelines for National Greenhouse Gas Inventories). The global estimates are computed at pixel level by multiplying the area burnt by the consumption value of the fuel biomass available in the pixel. The biomass burnt in each pixel is then multiplied by the emission factor of each gas (CH4 and N2O). The area burnt is obtained from the MODIS burned area monthly dataset (MCD64A1 Collection 6, Giglio et al., 2018) which contains observations of burnt areas at about 500m resolution. The vegetation type is derived from the MODIS land cover v6 (MCD12Q1 v6, Sulla-Menashe and Friedl, 2018; Sulla-Menashe et al., 2019) dataset which contains annual land cover data using the International Geosphere-Biosphere Programme classification (IGBP; Loveland and Belward, 1997) at 500m. The applied fuel consumption value is a function of the climate zone and vegetation type prevailing in each pixel. Two climatic layers, the FAO Global Ecological Zones for forest types (GEZ; FAO, 2012) and the IPCC climate zones, for all other types of vegetation, developed by the Joint Research Centre of the European Commission (2010) were used to subdivide the MODIS land cover classes into classes that match those described in the IPCC Guidelines.

For more information:

FAO 2022. FAOSTAT Climate Change – Emissions – Land Use and Land Use change – Fires https://www.fao.org/faostat/en/#data/GI

Rossi S., Tubiello F.N., Prosperi P., Salvatore M., Jacobs H., Biancalani R., House J.I., and Boschetti L. 2016. FAOSTAT estimates of greenhouse gas emissions from biomass and peat fires. Climate Change 135, 699-711. doi: 10.1007/s10584-015-1584-y

Prosperi, P., Bloise, M., Tubiello, F.N., Conchedda, G., Rossi, S., Boschetti, L., Salvatore, M., Bernoux, M. 2020. New estimates of greenhouse gas emissions from biomass burning and peat fires using MODIS Collection 6 burned areas. Climatic Change 1–18.

Resource constraints:

license

Online resources:

Download: FAOSTAT Emissions – Land Use and Land Use Change: Fires

In this dataset animal production aspects are collected in order to monitor the trend in production and trade in Tunisia. The data are not collected in the field but downloaded from other web sources: FAOSTAT (http://www.fao.org/faostat/en/#data/QA) and Statistiques Tunisie (http://www.ins.tn/en/themes/agriculture). The period considered is from the year 1996 to 2014.

This dataset was used in the generation of the manuscript titled: Implied climate warming contributions of enteric methane emissions are dependent on the estimate source and accounting methodology (DOI: 10.15232/aas.2022-02344). The objectives of this manuscript were to (1) demonstrate the differences in enteric methane emission estimates between 2 reporting entities (FAO and EPA) and to (2) demonstrate how the implied contribution to climate warming caused by enteric methane is dependent on accounting methodologies. The accounting methodologies explored were the conventional global warming potential (GWP) based on a 100-year time horizon (GWP100) or the newer GWP. The GWP methodology was developed because GWP100 fails to capture the short atmospheric lifespan of CH4, which is only 12-years (EPA, 2021a). The equations to calculate GWP100 (Equation 1; IPCC, 2013) and GWP* (Equation 2; Smith et al., 2021) are: CH4, Mt CO2 equivalence = 28 × CH4(t) [Equation 1]; CH4, Mt CO2-we = (4.53 × CH4(t) – 4.25 × CH4(t–20)) × 28 [Equation 2]. Where CH4(t) is the CH4 emitted in million metric tons (Mt) at year t and CH4(t-20) is the amount of CH4 emitted in Mt 20-years prior. Data was obtained from publicly available sources — the USDA-NASS biannual reports on cow and calf inventory in January and June (USDA-NASS, 2022), the EPA website (EPA, 2021b), and FAO from the FAOSTAT website (FAO, 2022). The data provided herein is an excel spreadsheet (.xlsx format) and contains 5 different sheets. Sheet titled "Descriptions" describe what each column names contain for the data-containing sheets. References: EPA (US Environmental Protection Agency). 2021a. Inventory of US Greenhouse Gas Emissions and Sinks 1990–2019. US Environmental Protection Agency. EPA (US Environmental Protection Agency). 2021b. Inventory of US Greenhouse Gas Emissions and Sinks: 1990–2019. Accessed May 18, 2022. https://www.epa.gov/ghgemissions/inventory-us-greenhouse-gas-emissions-and-sinks-1990-2019. FAO (Food and Agriculture Organization). 2022. FAOSTAT Emissions Totals. Accessed: May 18, 2022. https://www.fao.org/faostat/en/#data/GT. IPCC (Intergovernmental Panel on Climate Change). 2013. Climate Change 2013: The Physical Science Basis. Contribution of Working Group I to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change. T. F. Stocker, D. Qin, G. K. Plattner, M. Tignor, S. K. Allen, J. Boschung, A. Nauels, Y. Xia, V. Bex, and P. M. Midgley, ed. Cambridge University Press. NASS (National Agricultural Statistics Service). 2022. Cattle NASS. Accessed May 18, 2022. https://usda.library.cornell.edu/concern/publications/h702q636h?locale=en. Smith, M. A., M. Cain, and M. R. Allen. 2021. Further improvement of warming-equivalent emissions calculation. npj Clim. Atmos. Sci. 4:1–3. https://doi.org/10.1038/s41612-021-00169-8. Resources in this dataset:Resource Title: Data from: Implied climate warming contributions of enteric methane emissions are dependent on the estimate source and accounting methodology. File Name: Enteric_CH4_emission_estimates_scenarios.xlsx

For each country, we extracted the production for each crop from the FAOSTAT database (http://www.fao.org/faostat/en/#data/QC; data downloaded April 2020). We averaged three years (2009-2011) of annual national crop production data to represent 2010 national crop production, and three years (2014-2016) of annual national crop production data to represent 2015 national crop production.

The FAOSTAT domain “Cultivation of Organic soils” contains estimates of nitrous oxide (N₂O) emissions associated with the drainage of organic soils – using histosols as proxy – for agriculture. Data are computed geospatially, using the Tier 1 default factors of the Intergovernmental Panel on Climate Change (IPCC, 2006). Estimates are available by country, by FAOSTAT regional aggregation and special group, including the Annex I and Non-Annex I Parties to the United Nations Framework Convention on Climate Change (UNFCCC), and with global coverage for the period 1990–2019, with estimates for 2030 and 2050.

The FAOSTAT domain “Cultivation of Organic soils” disseminates N₂O emissions, implied emission factors and underlying activity data, i.e. area (in ha) of organic soils drained for agriculture. Drainage and associated emissions are assessed separately for IPCC land use categories cropland and grassland, corresponding to FAO land use categories ‘’cropland’’ and ‘’permanent meadows and pastures.’’ GHG estimates are available in N₂O and in CO₂ equivalent (CO₂eq). Conversion to CO₂eq is made via Global Warming Potentials (GWP) coefficients. Results are disseminated separately for three different options currently in use in reporting, namely GWPs from: a) IPCC Second Assessment Report (SAR)(IPCC, 1996); b) IPCC Fourth Assessment Report (AR4) (IPCC, 2007); and c) IPCC Fifth Assessment Report (AR5)(IPCC, 2014). The original FAOSTAT domains can be found here:

Cultivation of Organic Soils: http://www.fao.org/faostat/en/#data/GV

Drained Organic Soils on cropland: http://www.fao.org/faostat/en/#data/GC and

Drained Organic Soils on grassland: http://www.fao.org/faostat/en/#data/GG

The FAOSTAT emissions estimates may not coincide with GHG data reported by member countries to relevant international reporting processes. The aim of this domain is to provide a global reference database for assessing regional and global trends and in support of national data quality/data assurance processes.

Food Prices for French Southern Territories.

Contains data from the FAOSTAT bulk data service.

Food Prices for Cyprus.

Contains data from the FAOSTAT bulk data service covering the following categories: Consumer Price Indices, Deflators, Exchange rates, Producer Prices