Tunisia TN: Prevalence of Severe Food Insecurity in the Population: % of population data was reported at 9.100 % in 2018. This stayed constant from the previous number of 9.100 % for 2017. Tunisia TN: Prevalence of Severe Food Insecurity in the Population: % of population data is updated yearly, averaging 9.100 % from Dec 2015 (Median) to 2018, with 4 observations. The data reached an all-time high of 9.300 % in 2016 and a record low of 9.100 % in 2018. Tunisia TN: 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 Tunisia – Table TN.World Bank.WDI: 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); ;

Tunisia TN: Prevalence of Moderate or Severe Food Insecurity in the Population: % of population data was reported at 20.000 % in 2018. This stayed constant from the previous number of 20.000 % for 2017. Tunisia TN: Prevalence of Moderate or Severe Food Insecurity in the Population: % of population data is updated yearly, averaging 19.700 % from Dec 2015 (Median) to 2018, with 4 observations. The data reached an all-time high of 20.000 % in 2018 and a record low of 18.200 % in 2015. Tunisia TN: 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 Tunisia – Table TN.World Bank.WDI: 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); ;

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 GeoPoll. 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 in the documentations tab. 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 with access to landline and/or mobile phones.

Kind of data

Sample survey data [ssd]

Sampling procedure

A stratified multi-stage cluster sample design was used to complete 1000 face-to-facesurveys. Exclusions: NA Design effect: 1.26

Mode of data collection

Computer Assisted Personal Interview [capi]

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

The margin of error is estimated as 3.5. This is calculated around a proportion at the 95% confidence level. The maximum margin of error was calculated assuming a reported percentage of 50% and takes into account the design effect.

Historical dataset showing Tunisia hunger statistics by year from 2001 to 2022.

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

Abstract

The objectives were to: -Identify nutritional problems, severity and distribution according to regions/areas and socio-economic factors. -Assess food consumption according to population demographic characteristics. -Identify population groups with malnutrition deficiency or excess. -Elaborate nutritional mapping according to the action plan adopted by all the countries, including Tunisia, at the World Food Summit in Rome in 1996. -Identify vulnerable population groups in food insecurity situation by carrying out a causal analysis of the factors affecting their nutritional status. -Realise a comparative analysis with the 1973-75 survey to know the changes and trends in nutritional status. -Identify regions at risk to optimize and target intervention programs. -Create a database for the planning, surveillance, monitoring and evaluation of nutritional interventions.

Geographic coverage

National coverage, both urban and rural areas.

Analysis unit

Individuals

Kind of data

Sample survey data [ssd]

Sampling procedure

It was a cross-sectional health study providing a large nationally representative sample of the Tunisian population and was conducted in 1996 and 1997. The sample of the survey was selected to be representative of the whole country. It was a random sample stratified at two levels (by district and then by household), taken from the database of the population, and lodging census that was carried out in 1994. At baseline, 1800 households situated at 300 districts of 6 households each were included.

Mode of data collection

Face-to-face paper [f2f]

突尼斯 TN: Prevalence of Severe Food Insecurity in the Population: % of population在2018达9.100 %，相较于2017的9.100 %保持不变。突尼斯 TN: Prevalence of Severe Food Insecurity in the Population: % of population数据按每年更新，2015至2018期间平均值为9.100 %，共4份观测结果。该数据的历史最高值出现于2016，达9.300 %，而历史最低值则出现于2018，为9.100 %。CEIC提供的突尼斯 TN: Prevalence of Severe Food Insecurity in the Population: % of population数据处于定期更新的状态，数据来源于World Bank，数据归类于Global Database的突尼斯 – Table TN.World Bank.WDI: Health Statistics。

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 GeoPoll. 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 in the documentations tab. Disaggregating results at sub-national level is not encouraged because estimates will suffer from substantial sampling and measurement error.

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.

突尼斯 TN: Prevalence of Moderate or Severe Food Insecurity in the Population: % of population在2018达20.000 %，相较于2017的20.000 %保持不变。突尼斯 TN: Prevalence of Moderate or Severe Food Insecurity in the Population: % of population数据按每年更新，2015至2018期间平均值为19.700 %，共4份观测结果。该数据的历史最高值出现于2018，达20.000 %，而历史最低值则出现于2015，为18.200 %。CEIC提供的突尼斯 TN: Prevalence of Moderate or Severe Food Insecurity in the Population: % of population数据处于定期更新的状态，数据来源于World Bank，数据归类于Global Database的突尼斯 – Table TN.World Bank.WDI: Health Statistics。