Central African Republic CF: Prevalence of Severe Food Insecurity in the Population: % of population data was reported at 61.800 % in 2021. This stayed constant from the previous number of 61.800 % for 2020. Central African Republic CF: Prevalence of Severe Food Insecurity in the Population: % of population data is updated yearly, averaging 61.800 % from Dec 2019 (Median) to 2021, with 3 observations. The data reached an all-time high of 61.800 % in 2021 and a record low of 61.800 % in 2021. Central African Republic CF: Prevalence of Severe Food Insecurity in the Population: % of population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Central African Republic – Table CF.World Bank.WDI: Social: Health Statistics. The percentage of people in the population who live in households classified as severely food insecure. A household is classified as severely food insecure when at least one adult in the household has reported to have been exposed, at times during the year, to several of the most severe experiences described in the FIES questions, such as to have been forced to reduce the quantity of the food, to have skipped meals, having gone hungry, or having to go for a whole day without eating because of a lack of money or other resources.;Food and Agriculture Organization of the United Nations (FAO);;

South Africa Food and Beverages Income: Catering Services (CS): data was reported at 816.300 ZAR mn in Feb 2025. This records an increase from the previous number of 803.500 ZAR mn for Jan 2025. South Africa Food and Beverages Income: Catering Services (CS): data is updated monthly, averaging 1,371.450 ZAR mn from Jan 2008 (Median) to Feb 2025, with 206 observations. The data reached an all-time high of 2,001.900 ZAR mn in May 2008 and a record low of 246.100 ZAR mn in Apr 2020. South Africa Food and Beverages Income: Catering Services (CS): data remains active status in CEIC and is reported by Statistics South Africa. The data is categorized under Global Database’s South Africa – Table ZA.H023: Food and Beverages Income.

Aggregated data on food insecure population in Kenya, Ethiopia, Uganda, Sudan, South Sudan, Rwanda, Burundi, Djibouti and Somalia from Dec 2010 to Jan 2015

Central African Republic CF: Prevalence of Moderate or Severe Food Insecurity in the Population: % of population data was reported at 81.300 % in 2020. This stayed constant from the previous number of 81.300 % for 2019. Central African Republic CF: Prevalence of Moderate or Severe Food Insecurity in the Population: % of population data is updated yearly, averaging 81.300 % from Dec 2019 (Median) to 2020, with 2 observations. The data reached an all-time high of 81.300 % in 2020 and a record low of 81.300 % in 2020. Central African Republic CF: Prevalence of Moderate or Severe Food Insecurity in the Population: % of population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Central African Republic – Table CF.World Bank.WDI: Social: Health Statistics. The percentage of people in the population who live in households classified as moderately or severely food insecure. A household is classified as moderately or severely food insecure when at least one adult in the household has reported to have been exposed, at times during the year, to low quality diets and might have been forced to also reduce the quantity of food they would normally eat because of a lack of money or other resources.;Food and Agriculture Organization of the United Nations (FAO);;

United States Export: FAS: South Africa: Food and Live Animals data was reported at 21.993 USD mn in Sep 2018. This records an increase from the previous number of 20.834 USD mn for Aug 2018. United States Export: FAS: South Africa: Food and Live Animals data is updated monthly, averaging 13.065 USD mn from Jan 1996 (Median) to Sep 2018, with 273 observations. The data reached an all-time high of 65.490 USD mn in Jul 2008 and a record low of 2.797 USD mn in Nov 2001. United States Export: FAS: South Africa: Food and Live Animals data remains active status in CEIC and is reported by US Census Bureau. The data is categorized under Global Database’s United States – Table US.JA065: Trade Statistics: Spain and South Africa: SITC.

Central African Republic CF: Depth of the Food Deficit: Kilocalories per Person per Day data was reported at 380.000 kcal in 2016. This records an increase from the previous number of 349.000 kcal for 2015. Central African Republic CF: Depth of the Food Deficit: Kilocalories per Person per Day data is updated yearly, averaging 319.000 kcal from Dec 1992 (Median) to 2016, with 25 observations. The data reached an all-time high of 381.000 kcal in 1996 and a record low of 251.000 kcal in 2012. Central African Republic CF: Depth of the Food Deficit: Kilocalories per Person per Day data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Central African Republic – Table CF.World Bank.WDI: Social: Health Statistics. The depth of the food deficit indicates how many calories would be needed to lift the undernourished from their status, everything else being constant. The average intensity of food deprivation of the undernourished, estimated as the difference between the average dietary energy requirement and the average dietary energy consumption of the undernourished population (food-deprived), is multiplied by the number of undernourished to provide an estimate of the total food deficit in the country, which is then normalized by the total population.; ; Food and Agriculture Organization, Food Security Statistics.; Weighted average;

Abstract

Sustainable Development Goal (SDG) target 2.1 commits countries to end hunger, ensure access by all people to safe, nutritious and sufficient food all year around. Indicator 2.1.2, “Prevalence of moderate or severe food insecurity based on the Food Insecurity Experience Scale (FIES)”, provides internationally-comparable estimates of the proportion of the population facing difficulties in accessing food. More detailed background information is available at http://www.fao.org/in-action/voices-of-the-hungry/fies/en/ .

The FIES-based indicators are compiled using the FIES survey module, containing 8 questions. Two indicators can be computed: 1. The proportion of the population experiencing moderate or severe food insecurity (SDG indicator 2.1.2), 2. The proportion of the population experiencing severe food insecurity.

These data were collected by FAO through the Gallup World Poll. General information on the methodology can be found here: https://www.gallup.com/178667/gallup-world-poll-work.aspx. National institutions can also collect FIES data by including the FIES survey module in nationally representative surveys.

Microdata can be used to calculate the indicator 2.1.2 at national level. Instructions for computing this indicator are described in the methodological document available under the "DOCUMENTATION" tab above. Disaggregating results at sub-national level is not encouraged because estimates will suffer from substantial sampling and measurement error.

Geographic coverage

National coverage

Analysis unit

Individuals

Universe

Individuals of 15 years or older.

Kind of data

Sample survey data [ssd]

Sampling procedure

A Random Digit Dialling (RDD) approach was used to form a random sample of telephone numbers. Stratified phone numbers made available from telephone service providers or administrative registers were also used to integrate RDD when needed. Socio-demographic characteristics collected in the survey were then compared with the available information from recent national surveys to verify the extent to which the sample mirrored the total population structure. In case of discrepancies, post-stratification sampling weights were computed to adjust for the underrepresented populations, typically using sex and education level. Exclusions: NA Design effect: NA

Mode of data collection

Computer Assisted Telephone Interview [cati]

Cleaning operations

Statistical validation assesses the quality of the FIES data collected by testing their consistency with the assumptions of the Rasch model. This analysis involves the interpretation of several statistics that reveal 1) items that do not perform well in a given context, 2) cases with highly erratic response patterns, 3) pairs of items that may be redundant, and 4) the proportion of total variance in the population that is accounted for by the measurement model.

Sampling error estimates

Not Available.

Data appraisal

Since the population with access to mobile telephones is likely to differ from the rest of the population with respect to their access to food, post-hoc adjustments were made to control for the potential resulting bias. Post-stratification weights were built to adjust the sample distribution by gender and education of the respondent at admin-1 level, to match the same distribution in the total population. However, an additional step was needed to try to ascertain the food insecurity condition of those with access to phones compared to that of the total population. Using FIES data collected by FAO through the GWP between 2014 and 2019, and a variable on access to mobile telephones that was also in the dataset, it was possible to compare the prevalence of food insecurity at moderate or severe level, and severe level only, of respondents with access to a mobile phone to that of the total population at national level.

South Africa ZA: Prevalence of Moderate or Severe Food Insecurity in the Population: % of population data was reported at 19.400 % in 2022. This records an increase from the previous number of 19.200 % for 2021. South Africa ZA: Prevalence of Moderate or Severe Food Insecurity in the Population: % of population data is updated yearly, averaging 19.000 % from Dec 2018 (Median) to 2022, with 5 observations. The data reached an all-time high of 19.400 % in 2022 and a record low of 17.400 % in 2018. South Africa ZA: Prevalence of Moderate or Severe Food Insecurity in the Population: % of population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s South Africa – Table ZA.World Bank.WDI: Social: Health Statistics. The percentage of people in the population who live in households classified as moderately or severely food insecure. A household is classified as moderately or severely food insecure when at least one adult in the household has reported to have been exposed, at times during the year, to low quality diets and might have been forced to also reduce the quantity of food they would normally eat because of a lack of money or other resources.;Food and Agriculture Organization of the United Nations (FAO);;

Botswana Imports from South Africa of Vegetable, fruit, nut food preparations was US$73.78 Million during 2023, according to the United Nations COMTRADE database on international trade. Botswana Imports from South Africa of Vegetable, fruit, nut food preparations - data, historical chart and statistics - was last updated on December of 2025.

Sub-Saharan Africa faces severe agricultural data scarcity amidst high food insecurity and a large agricultural yield gap, making crop production data crucial for understanding and enhancing food systems. To address this gap, HarvestStat Africa presents the largest compilation of open-access subnational crop statistics and time-series across Sub-Saharan Africa. Based on agricultural statistics collated by USAID’s Famine Early Warning Systems Network, the subnational crop statistics are standardized and calibrated across changing administrative units to produce consistent and continuous time-series. The dataset includes 574,204 records, primarily spanning from 1980 to 2022, detailing quantity produced (metric tonnes; mt), harvested areas (hectares; ha), and yields (metric tonnes per hectare; mt/ha) for 33 countries and 94 crop types, including key cereals in Sub-Saharan Africa such as wheat, maize, rice, sorghum, barley, millet, and fonio. This new dataset enhances our understanding of h..., , , # HarvestStat Africa – Harmonized Subnational Crop Statistics for Sub-Saharan Africa

Authors: D. Lee, W. Anderson, X. Chen, F. Davenport, S. Shukla, R. Sahajpal, M. Budde, J. Rowland, J. Verdin, L. You, M. Ahouangbenon, K. Davis, E. Kebede, S. Ehrmann, C. Justice, and C. Meyer

Publication: Scientific Data (in revision); preprint available at EarthArXiv.

Author Information

Donghoon Lee Department of Civil Engineering, University of Manitoba, Winnipeg, Manitoba, Canada
Email: Donghoon.Lee@umanitoba.ca

Weston Anderson Earth System Science Interdisciplinary Center, University of Maryland, College Park, Maryland, USA Email: Weston@umd.edu

Xuan Chen Earth System Science Interdisciplinary Center, University of Maryland, College Park, Maryland, USA Email: X.Chen@cgiar.org

Frank Davenport Climate Hazards Center, Department of...,

Time series data for the statistic Share of animal products in food supply (% of total) and country Central African Republic. Indicator Definition:

Timely and reliable monitoring of commodity food prices is an essential requirement for the assessment of market and food security risks and the establishment of early warning systems, especially in developing economies. However, data from regional or national systems for tracking changes of food prices in sub-Saharan Africa lacks the temporal or spatial richness and is often insufficient to inform targeted interventions. In addition to limited opportunity for [near-]real-time assessment of food prices, various stages in the commodity supply chain are mostly unrepresented, thereby limiting insights on stage-related price evolution. Yet, governments and market stakeholders rely on commodity price data to make decisions on appropriate interventions or commodity-focused investments. Recent rapid technological development indicates that digital devices and connectivity services are becoming affordable for many, including in remote areas of developing economies. This offers a great opportunity both for the harvesting of price data (via new data collection methodologies, such as crowdsourcing/crowdsensing — i.e. citizen-generated data — using mobile apps/devices), and for disseminating it (via web dashboards or other means) to provide real-time data that can support decisions at various levels and related policy-making processes. However, market information that aims at improving the functioning of markets and supply chains requires a continuous data flow as well as quality, accessibility and trust. More data does not necessarily translate into better information. Citizen-based data-generation systems are often confronted by challenges related to data quality and citizen participation, which may be further complicated by the volume of data generated compared to traditional approaches. Following the food price hikes during the first noughties of the 21st century, the European Commission's Joint Research Centre (JRC) started working on innovative methodologies for real-time food price data collection and analysis in developing countries. The work carried out so far includes a pilot initiative to crowdsource data from selected markets across several African countries, two workshops (with relevant stakeholders and experts), and the development of a spatial statistical quality methodology to facilitate the best possible exploitation of geo-located data. Based on the latter, the JRC designed the Food Price Crowdsourcing Africa (FPCA) project and implemented it within two states in Northern Nigeria. The FPCA is a credible methodology, based on the voluntary provision of data by a crowd (people living in urban, suburban, and rural areas) using a mobile app, leveraging monetary and non-monetary incentives to enhance contribution, which makes it possible to collect, analyse and validate, and disseminate staple food price data in real time across market segments. The granularity and high frequency of the crowdsourcing data open the door to real-time space-time analysis, which can be essential for policy and decision making and rapid response on specific geographic regions. Link to the project

European Union Imports: EU 27E: Africa: Food and Live Animals Chiefly for Food data was reported at 2.777 EUR bn in Feb 2025. This records a decrease from the previous number of 3.285 EUR bn for Jan 2025. European Union Imports: EU 27E: Africa: Food and Live Animals Chiefly for Food data is updated monthly, averaging 1.039 EUR bn from Jan 2002 (Median) to Feb 2025, with 278 observations. The data reached an all-time high of 3.285 EUR bn in Jan 2025 and a record low of 0.545 EUR bn in Oct 2004. European Union Imports: EU 27E: Africa: Food and Live Animals Chiefly for Food data remains active status in CEIC and is reported by Eurostat. The data is categorized under Global Database’s European Union – Table EU.JA024: Eurostat: Trade Statistics: By SITC: European Union: Africa.

South Africa ZA: Prevalence of Severe Food Insecurity in the Population: % of population data was reported at 8.400 % in 2022. This stayed constant from the previous number of 8.400 % for 2021. South Africa ZA: Prevalence of Severe Food Insecurity in the Population: % of population data is updated yearly, averaging 8.000 % from Dec 2018 (Median) to 2022, with 5 observations. The data reached an all-time high of 8.400 % in 2022 and a record low of 6.900 % in 2018. South Africa ZA: Prevalence of Severe Food Insecurity in the Population: % of population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s South Africa – Table ZA.World Bank.WDI: Social: Health Statistics. The percentage of people in the population who live in households classified as severely food insecure. A household is classified as severely food insecure when at least one adult in the household has reported to have been exposed, at times during the year, to several of the most severe experiences described in the FIES questions, such as to have been forced to reduce the quantity of the food, to have skipped meals, having gone hungry, or having to go for a whole day without eating because of a lack of money or other resources.;Food and Agriculture Organization of the United Nations (FAO);;

European Union Imports: swda: EU 27E: Africa: Food, Drink and Tobacco data was reported at 2.862 EUR bn in Feb 2025. This records a decrease from the previous number of 3.154 EUR bn for Jan 2025. European Union Imports: swda: EU 27E: Africa: Food, Drink and Tobacco data is updated monthly, averaging 1.073 EUR bn from Jan 2002 (Median) to Feb 2025, with 278 observations. The data reached an all-time high of 3.154 EUR bn in Jan 2025 and a record low of 0.630 EUR bn in Apr 2004. European Union Imports: swda: EU 27E: Africa: Food, Drink and Tobacco data remains active status in CEIC and is reported by Eurostat. The data is categorized under Global Database’s European Union – Table EU.JA024: Eurostat: Trade Statistics: By SITC: European Union: Africa.

Exports: EU 27E: South Africa: Food & Live Animals Chiefly for Food data was reported at 0.084 EUR bn in Feb 2025. This records a decrease from the previous number of 0.138 EUR bn for Jan 2025. Exports: EU 27E: South Africa: Food & Live Animals Chiefly for Food data is updated monthly, averaging 0.060 EUR bn from Jan 2002 (Median) to Feb 2025, with 278 observations. The data reached an all-time high of 0.168 EUR bn in Aug 2022 and a record low of 0.007 EUR bn in Jan 2002. Exports: EU 27E: South Africa: Food & Live Animals Chiefly for Food data remains active status in CEIC and is reported by Eurostat. The data is categorized under Global Database’s European Union – Table EU.JA043: Eurostat: Trade Statistics: By SITC: European Union: South Africa.

Exports: EU 27E: ACP: Food and Live Animals Chiefly for Food data was reported at 0.886 EUR bn in Feb 2025. This records a decrease from the previous number of 0.906 EUR bn for Jan 2025. Exports: EU 27E: ACP: Food and Live Animals Chiefly for Food data is updated monthly, averaging 0.592 EUR bn from Jan 2002 (Median) to Feb 2025, with 278 observations. The data reached an all-time high of 1.346 EUR bn in Aug 2022 and a record low of 0.207 EUR bn in Jan 2005. Exports: EU 27E: ACP: Food and Live Animals Chiefly for Food data remains active status in CEIC and is reported by Eurostat. The data is categorized under Global Database’s European Union – Table EU.JA014: Eurostat: Trade Statistics: By SITC: European Union: African, Carribean, Pacific States.

European Union Trade Balance: EU 27E: Africa: Food, Drink and Tobacco data was reported at -1.125 EUR bn in Feb 2025. This records an increase from the previous number of -1.692 EUR bn for Jan 2025. European Union Trade Balance: EU 27E: Africa: Food, Drink and Tobacco data is updated monthly, averaging -0.090 EUR bn from Jan 2002 (Median) to Feb 2025, with 278 observations. The data reached an all-time high of 0.807 EUR bn in Aug 2022 and a record low of -1.692 EUR bn in Jan 2025. European Union Trade Balance: EU 27E: Africa: Food, Drink and Tobacco data remains active status in CEIC and is reported by Eurostat. The data is categorized under Global Database’s European Union – Table EU.JA024: Eurostat: Trade Statistics: By SITC: European Union: Africa.

European Union Exports: EU 27E: South Africa: Food, Drink and Tobacco data was reported at 0.122 EUR bn in Feb 2025. This records a decrease from the previous number of 0.177 EUR bn for Jan 2025. European Union Exports: EU 27E: South Africa: Food, Drink and Tobacco data is updated monthly, averaging 0.075 EUR bn from Jan 2002 (Median) to Feb 2025, with 278 observations. The data reached an all-time high of 0.212 EUR bn in Aug 2022 and a record low of 0.009 EUR bn in Jan 2002. European Union Exports: EU 27E: South Africa: Food, Drink and Tobacco data remains active status in CEIC and is reported by Eurostat. The data is categorized under Global Database’s European Union – Table EU.JA043: Eurostat: Trade Statistics: By SITC: European Union: South Africa.

European Union Exports: EA 20: Africa: Food, Drink & Tobacco data was reported at 1.473 EUR bn in Feb 2025. This records an increase from the previous number of 1.426 EUR bn for Jan 2025. European Union Exports: EA 20: Africa: Food, Drink & Tobacco data is updated monthly, averaging 1.046 EUR bn from Jan 2002 (Median) to Feb 2025, with 278 observations. The data reached an all-time high of 2.038 EUR bn in Oct 2022 and a record low of 0.402 EUR bn in Jul 2005. European Union Exports: EA 20: Africa: Food, Drink & Tobacco data remains active status in CEIC and is reported by Eurostat. The data is categorized under Global Database’s European Union – Table EU.JA072: Eurostat: Trade Statistics: By SITC: Euro Area: Africa.