100+ datasets found
  1. Global Hunger Index 2024 countries most affected by hunger

    • statista.com
    Updated Feb 17, 2025
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    Statista (2025). Global Hunger Index 2024 countries most affected by hunger [Dataset]. https://www.statista.com/statistics/269924/countries-most-affected-by-hunger-in-the-world-according-to-world-hunger-index/
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    Dataset updated
    Feb 17, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2024
    Area covered
    Worldwide
    Description

    According to the Global Hunger Index 2024, which was adopted by the International Food Policy Research Institute, Somalia was the most affected by hunger and malnutrition, with an index of 44.1. Yemen and Chad followed behind. The World Hunger Index combines three indicators: undernourishment, child underweight, and child mortality. Sub-Saharan Africa most affected The index is dominated by countries in Sub-Saharan Africa. In the region, more than one fifth of the population is undernourished . In terms of individuals, however, South Asia has the highest number of undernourished people. Globally, there are 735 million people that are considered undernourished or starving. A lack of food is increasing in over 20 countries worldwide. Undernourishment worldwide The term malnutrition includes both undernutrition and overnutrition. Undernutrition occurs when an individual cannot maintain normal bodily functions such as growth, recovering from disease, and both learning and physical work. Some conditions such as diarrhea, malaria, and HIV/AIDS can all have a negative impact on undernutrition. Rural and agricultural communities can be especially susceptible to hunger during certain seasons. The annual hunger gap occurs when a family’s food supply may run out before the next season’s harvest is available and can result in malnutrition. Nevertheless, the prevalence of people worldwide that are undernourished has decreased over the last decades, from 18.7 percent in 1990-92 to 9.2 percent in 2022, but it has slightly increased since the outbreak of COVID-19. According to the Global Hunger Index, the reduction of global hunger has stagnated over the past decade.

  2. Prevalence of starving people worldwide 2023, by region

    • statista.com
    Updated Aug 19, 2025
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    Statista (2025). Prevalence of starving people worldwide 2023, by region [Dataset]. https://www.statista.com/statistics/273291/number-of-people-with-malnutrition-worldwide/
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    Dataset updated
    Aug 19, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    World
    Description

    In 2023, the rate of undernourishment worldwide was 9.1 percent. The region with the largest share of undernourished people was Sub-Saharan Africa, with 23.2 percent. Undernourished people worldwideSouthern Asia and Sub-Saharan Africa have some of the highest numbers of undernourished people in the world, totaling 281 million and 278 million, respectively, in 2023. Based on the World Hunger Index 2024, Somalia and Yemen were among the most affected countries by hunger and malnutrition. Worldwide, about 733.4 million people were suffering from malnutrition in 2023. MalnutritionMalnutrition occurs when a person’s diet consists of too little or too much of certain nutrients. Undernutrition occurs when a person does not intake enough calories, protein, or micronutrients. One of the primary causes of malnutrition is due to limited or a lack of accessibility to affordable, nutritious foods. Malnutrition is considered to contribute to over a third of child deaths globally. In Asia, an estimated 77 million cases of stunting, which is the primary effect of malnutrition, were recorded for children under the age of five in 2022. The FAO reports that food security and nutrition commitments by national governments are essential in eradicating the world hunger problem. Agricultural productivity, accessibility to land, services, and markets, rural development strategies, and social protection are needed to ensure a reduction in malnutrition.

  3. T

    China - Prevalence Of Undernourishment (% Of Population)

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Jul 20, 2013
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    TRADING ECONOMICS (2013). China - Prevalence Of Undernourishment (% Of Population) [Dataset]. https://tradingeconomics.com/china/prevalence-of-undernourishment-percent-of-population-wb-data.html
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    json, xml, csv, excelAvailable download formats
    Dataset updated
    Jul 20, 2013
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 1, 1976 - Dec 31, 2025
    Area covered
    China
    Description

    Prevalence of undernourishment (% of population) in China was reported at 2.5 % in 2022, according to the World Bank collection of development indicators, compiled from officially recognized sources. China - Prevalence of undernourishment (% of population) - actual values, historical data, forecasts and projections were sourced from the World Bank on September of 2025.

  4. Number of children suffering from wasting worldwide in 2024, by region

    • statista.com
    Updated Aug 20, 2025
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    Statista (2025). Number of children suffering from wasting worldwide in 2024, by region [Dataset]. https://www.statista.com/statistics/1043752/child-wasting-moderate-and-severe-cases-world-by-region/
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    Dataset updated
    Aug 20, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2024
    Area covered
    Worldwide
    Description

    Wasting is the process by which muscle and fat tissues "waste" away, it is sometimes called acute malnutrition. Data about wasting indicates the vast majority of wasted children are living in Southern Asia, which includes countries such as India, Afghanistan, and Pakistan. In 2024, over ** million children in Southern Asia were suffering from wasting. This statistic shows the number of children under five years worldwide who were affected by wasting in 2024.

  5. T

    Norway - Prevalence Of Undernourishment (% Of Population)

    • tradingeconomics.com
    csv, excel, json, xml
    Updated May 29, 2017
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    TRADING ECONOMICS (2017). Norway - Prevalence Of Undernourishment (% Of Population) [Dataset]. https://tradingeconomics.com/norway/prevalence-of-undernourishment-percent-of-population-wb-data.html
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    json, csv, excel, xmlAvailable download formats
    Dataset updated
    May 29, 2017
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 1, 1976 - Dec 31, 2025
    Area covered
    Norway
    Description

    Prevalence of undernourishment (% of population) in Norway was reported at 2.5 % in 2022, according to the World Bank collection of development indicators, compiled from officially recognized sources. Norway - Prevalence of undernourishment (% of population) - actual values, historical data, forecasts and projections were sourced from the World Bank on September of 2025.

  6. T

    Japan - Prevalence Of Undernourishment (% Of Population)

    • tradingeconomics.com
    csv, excel, json, xml
    Updated May 28, 2017
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    TRADING ECONOMICS (2017). Japan - Prevalence Of Undernourishment (% Of Population) [Dataset]. https://tradingeconomics.com/japan/prevalence-of-undernourishment-percent-of-population-wb-data.html
    Explore at:
    xml, csv, excel, jsonAvailable download formats
    Dataset updated
    May 28, 2017
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 1, 1976 - Dec 31, 2025
    Area covered
    Japan
    Description

    Prevalence of undernourishment (% of population) in Japan was reported at 3.4 % in 2022, according to the World Bank collection of development indicators, compiled from officially recognized sources. Japan - Prevalence of undernourishment (% of population) - actual values, historical data, forecasts and projections were sourced from the World Bank on August of 2025.

  7. Standardized Expanded Nutrition Survey 2024 - Ethiopia

    • microdata.worldbank.org
    Updated Jul 10, 2025
    + more versions
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    UN Refugee Agency (2025). Standardized Expanded Nutrition Survey 2024 - Ethiopia [Dataset]. https://microdata.worldbank.org/index.php/catalog/6803
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    Dataset updated
    Jul 10, 2025
    Dataset provided by
    United Nations High Commissioner for Refugeeshttp://www.unhcr.org/
    Authors
    UN Refugee Agency
    Time period covered
    2024
    Area covered
    Ethiopia
    Description

    Abstract

    The 2024 Standardized Expanded Nutrition Survey (SENS) was conducted in Mirqaan Refugee Camp, located in Bokh Woreda, Doolo Zone, Somali Region, Ethiopia. Established in April 2023, the camp hosts over 52,000 refugees and asylum seekers, primarily displaced by the conflict in Lascanood. The survey aimed to assess the nutritional and public health status of the camp population and inform targeted interventions. Using the SENS Version 3 guidelines and SMART methodology, data were collected through a simple random sample of households between January 25–27, 2024. Modules included anthropometry, child health, infant and young child feeding (IYCF), food security (administered to a 50% household sub-sample), demography, and mortality. Results indicate a critical nutrition situation, with a Global Acute Malnutrition (GAM) rate of 24.2% and Severe Acute Malnutrition (SAM) prevalence of 3.8%, both exceeding emergency thresholds. The survey also highlights suboptimal IYCF practices, limited vaccination coverage, and gaps in preventive nutrition programming. Findings underscore the urgent need for multisectoral support to restore and strengthen nutrition and health services in Mirqaan camp.

    Geographic coverage

    Mirqaan Refugee Camp, Bokh Woreda, Doolo Zone, Somali Region, Ethiopia.

    Analysis unit

    Household

    Universe

    Refugees and asylum seekers residing in Mirqaan Refugee Camp as of January 2024.

    Kind of data

    Sample survey data [ssd]

    Sampling procedure

    Simple random sampling was used in Mirqaan Refugee Camp. The sample size was calculated using ENA for SMART. A 10% non-response rate was assumed. Finite population correction was applied due to a small under-5 population. Household verification and labelling were conducted by OWDA prior to the survey.

    Mode of data collection

    Face-to-face [f2f]

    Research instrument

    Standard SENS version 3 questionnaires were used, covering demographic, mortality, anthropometry, child health, IYCF, food security, and WASH modules.

  8. U

    United States US: Prevalence of Stunting: Height for Age: % of Children...

    • ceicdata.com
    Updated Dec 15, 2010
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    CEICdata.com (2010). United States US: Prevalence of Stunting: Height for Age: % of Children Under 5, Modeled Estimate [Dataset]. https://www.ceicdata.com/en/united-states/social-health-statistics/us-prevalence-of-stunting-height-for-age--of-children-under-5-modeled-estimate
    Explore at:
    Dataset updated
    Dec 15, 2010
    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 1, 2011 - Dec 1, 2022
    Area covered
    United States
    Description

    United States US: Prevalence of Stunting: Height for Age: % of Children Under 5, Modeled Estimate data was reported at 4.200 % in 2024. This records an increase from the previous number of 4.000 % for 2023. United States US: Prevalence of Stunting: Height for Age: % of Children Under 5, Modeled Estimate data is updated yearly, averaging 2.800 % from Dec 2000 (Median) to 2024, with 25 observations. The data reached an all-time high of 4.200 % in 2024 and a record low of 2.500 % in 2012. United States US: Prevalence of Stunting: Height for Age: % of Children Under 5, Modeled Estimate data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s United States – Table US.World Bank.WDI: Social: Health Statistics. Prevalence of stunting is the percentage of children under age 5 whose height for age is more than two standard deviations below the median for the international reference population ages 0-59 months. For children up to two years old height is measured by recumbent length. For older children height is measured by stature while standing. The data are based on the WHO's 2006 Child Growth Standards.;UNICEF, WHO, World Bank: Joint child Malnutrition Estimates (JME).;Weighted average;Undernourished children have lower resistance to infection and are more likely to die from common childhood ailments such as diarrheal diseases and respiratory infections. Frequent illness saps the nutritional status of those who survive, locking them into a vicious cycle of recurring sickness and faltering growth (UNICEF). Being even mildly underweight increases the risk of death and inhibits cognitive development in children. And it perpetuates the problem across generations, as malnourished women are more likely to have low-birth-weight babies. Stunting, or being below median height for age, is often used as a proxy for multifaceted deprivation and as an indicator of long-term changes in malnutrition. Estimates are modeled estimates produced by the JME. Primary data sources of the anthropometric measurements are national surveys. These surveys are administered sporadically, resulting in sparse data for many countries. Furthermore, the trend of the indicators over time is usually not a straight line and varies by country. Tracking the current level and progress of indicators helps determine if countries are on track to meet certain thresholds, such as those indicated in the SDGs. Thus the JME developed statistical models and produced the modeled estimates.

  9. N

    Nauru NR: Prevalence of Stunting: Height for Age: % of Children Under 5,...

    • ceicdata.com
    Updated Mar 15, 2018
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    CEICdata.com (2018). Nauru NR: Prevalence of Stunting: Height for Age: % of Children Under 5, Modeled Estimate [Dataset]. https://www.ceicdata.com/en/nauru/social-health-statistics/nr-prevalence-of-stunting-height-for-age--of-children-under-5-modeled-estimate
    Explore at:
    Dataset updated
    Mar 15, 2018
    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 1, 2009 - Dec 1, 2020
    Area covered
    Nauru
    Description

    Nauru NR: Prevalence of Stunting: Height for Age: % of Children Under 5, Modeled Estimate data was reported at 16.000 % in 2024. This stayed constant from the previous number of 16.000 % for 2023. Nauru NR: Prevalence of Stunting: Height for Age: % of Children Under 5, Modeled Estimate data is updated yearly, averaging 20.900 % from Dec 2000 (Median) to 2024, with 25 observations. The data reached an all-time high of 24.600 % in 2005 and a record low of 16.000 % in 2024. Nauru NR: Prevalence of Stunting: Height for Age: % of Children Under 5, Modeled Estimate data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Nauru – Table NR.World Bank.WDI: Social: Health Statistics. Prevalence of stunting is the percentage of children under age 5 whose height for age is more than two standard deviations below the median for the international reference population ages 0-59 months. For children up to two years old height is measured by recumbent length. For older children height is measured by stature while standing. The data are based on the WHO's 2006 Child Growth Standards.;UNICEF, WHO, World Bank: Joint child Malnutrition Estimates (JME).;Weighted average;Undernourished children have lower resistance to infection and are more likely to die from common childhood ailments such as diarrheal diseases and respiratory infections. Frequent illness saps the nutritional status of those who survive, locking them into a vicious cycle of recurring sickness and faltering growth (UNICEF). Being even mildly underweight increases the risk of death and inhibits cognitive development in children. And it perpetuates the problem across generations, as malnourished women are more likely to have low-birth-weight babies. Stunting, or being below median height for age, is often used as a proxy for multifaceted deprivation and as an indicator of long-term changes in malnutrition. Estimates are modeled estimates produced by the JME. Primary data sources of the anthropometric measurements are national surveys. These surveys are administered sporadically, resulting in sparse data for many countries. Furthermore, the trend of the indicators over time is usually not a straight line and varies by country. Tracking the current level and progress of indicators helps determine if countries are on track to meet certain thresholds, such as those indicated in the SDGs. Thus the JME developed statistical models and produced the modeled estimates.

  10. Number of stunted, wasted, and overweight children worldwide in 2024, by...

    • statista.com
    Updated Aug 18, 2025
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    Statista (2025). Number of stunted, wasted, and overweight children worldwide in 2024, by region [Dataset]. https://www.statista.com/statistics/1043791/wasted-stunted-and-overweight-children-worldwide-by-region/
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    Dataset updated
    Aug 18, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2024
    Area covered
    Worldwide
    Description

    In 2024, roughly 64.8 million cases of stunting were recorded among children in Africa, versus 9.7 million cases of children being overweight. Stunting is a primary effect of malnutrition. This statistic shows the number of children under the age of five with stunting, wasting, or who were overweight worldwide in 2024, by region.

  11. T

    Italy - Prevalence Of Undernourishment (% Of Population)

    • tradingeconomics.com
    csv, excel, json, xml
    Updated May 28, 2017
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    TRADING ECONOMICS (2017). Italy - Prevalence Of Undernourishment (% Of Population) [Dataset]. https://tradingeconomics.com/italy/prevalence-of-undernourishment-percent-of-population-wb-data.html
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    json, excel, csv, xmlAvailable download formats
    Dataset updated
    May 28, 2017
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 1, 1976 - Dec 31, 2025
    Area covered
    Italy
    Description

    Prevalence of undernourishment (% of population) in Italy was reported at 2.5 % in 2022, according to the World Bank collection of development indicators, compiled from officially recognized sources. Italy - Prevalence of undernourishment (% of population) - actual values, historical data, forecasts and projections were sourced from the World Bank on September of 2025.

  12. f

    Data Sheet 1_Global Leadership Initiative on Malnutrition: a bibliometric...

    • frontiersin.figshare.com
    • figshare.com
    csv
    Updated Jul 8, 2025
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    Qimeng Xu; Qiufu Li; Yucheng Yao; Ying He; Sitao Tan; Xiaoxia Liu; Xiaoyu Chen (2025). Data Sheet 1_Global Leadership Initiative on Malnutrition: a bibliometric analysis of research trends and contributions (2018–2024).csv [Dataset]. http://doi.org/10.3389/fnut.2025.1613395.s001
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    csvAvailable download formats
    Dataset updated
    Jul 8, 2025
    Dataset provided by
    Frontiers
    Authors
    Qimeng Xu; Qiufu Li; Yucheng Yao; Ying He; Sitao Tan; Xiaoxia Liu; Xiaoyu Chen
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    BackgroundThe Global Leadership Initiative on Malnutrition (GLIM) criteria were officially introduced in 2018 with the aim of establishing a standardized global framework for the diagnosis of malnutrition. Synthesizing expert consensus from multiple international organizations, the GLIM criteria proposed a two-step diagnostic model integrating both phenotypic and etiologic components. Although GLIM-related research has expanded rapidly in recent years, a comprehensive bibliometric evaluation remains absent.MethodsRelevant literature published between 2018 and 2024 was retrieved from the Scopus database. Only English-language original research articles and reviews were included. A total of 729 eligible publications were analyzed using VOSviewer (v1.6.10), CiteSpace (v5.8.R3), and the online platform Bioinformatics. The analysis covered various dimensions, including countries, institutions, authors, journals, keywords, and highly cited references.ResultsThe volume of GLIM-related publications has shown a steady upward trajectory, peaking in 2024. China emerged as the most prolific country, followed by Spain and Japan. The top contributing institutions included Uppsala University, Capital Medical University, and Beijing Shijitan Hospital. Among the most productive authors were Cederholm T, Shi H, and Correia MITD. Clinical Nutrition and Nutrients were identified as the core journals in this field. Keyword analysis revealed that “malnutrition,” “diagnosis,” “sarcopenia,” “cancer,” and “nutritional risk” were pre-dominant themes, while “systematic review,” “protein blood level,” and “gastric cancer” represented emerging areas of interest.ConclusionThis study represents the first comprehensive bibliometric analysis of research related to the GLIM criteria. It identifies key contributors, collaboration networks, and thematic evolutions in the field, highlighting a transition from the development of diagnostic frameworks to clinical application and individualized nutritional assessment. These findings provide a valuable reference for guiding future research directions in GLIM-related domains.

  13. w

    Global Complete Nutritional Formula Food For Malnourished Patients Market...

    • wiseguyreports.com
    Updated Jul 3, 2024
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    wWiseguy Research Consultants Pvt Ltd (2024). Global Complete Nutritional Formula Food For Malnourished Patients Market Research Report: By Type (Enteral Nutrition, Parenteral Nutrition), By Patient Population (Adults, Pediatrics), By Malnutrition Severity (Severe Acute Malnutrition (SAM), Moderate Acute Malnutrition (MAM), Chronic Malnutrition), By Form (Liquid, Powder, Ready-to-Use Therapeutic Food (RUTF)), By Composition (Balanced Formula, Specialized Formula) and By Regional (North America, Europe, South America, Asia Pacific, Middle East and Africa) - Forecast to 2032. [Dataset]. https://www.wiseguyreports.com/reports/complete-nutritional-formula-food-for-malnourished-patients-market
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    Dataset updated
    Jul 3, 2024
    Dataset authored and provided by
    wWiseguy Research Consultants Pvt Ltd
    License

    https://www.wiseguyreports.com/pages/privacy-policyhttps://www.wiseguyreports.com/pages/privacy-policy

    Time period covered
    Jan 7, 2024
    Area covered
    Global
    Description
    BASE YEAR2024
    HISTORICAL DATA2019 - 2024
    REPORT COVERAGERevenue Forecast, Competitive Landscape, Growth Factors, and Trends
    MARKET SIZE 202319.48(USD Billion)
    MARKET SIZE 202420.59(USD Billion)
    MARKET SIZE 203232.1(USD Billion)
    SEGMENTS COVEREDType ,Composition ,Nutritional Content ,Target Population ,Packaging ,Regional
    COUNTRIES COVEREDNorth America, Europe, APAC, South America, MEA
    KEY MARKET DYNAMICSIncreasing prevalence of malnutrition Growing awareness of nutritional deficiencies Rising demand for convenience food Technological advancements in food processing Expansion of healthcare infrastructure
    MARKET FORECAST UNITSUSD Billion
    KEY COMPANIES PROFILEDNestle ,Mead Johnson ,Abbott Nutrition ,Danone Nutricia ,Kraft Heinz ,Unilever ,Fonterra ,Arla Foods ,FrieslandCampina ,Glanbia ,Danisco ,Cargill ,Archer Daniels Midland ,PepsiCo
    MARKET FORECAST PERIOD2024 - 2032
    KEY MARKET OPPORTUNITIESRising prevalence of malnutrition Increasing demand for personalized nutrition Growing focus on preventative healthcare Expanding geriatric population Technological advancements in food processing
    COMPOUND ANNUAL GROWTH RATE (CAGR) 5.71% (2024 - 2032)
  14. E

    Equatorial Guinea GQ: Prevalence of Stunting: Height for Age: % of Children...

    • ceicdata.com
    Updated Dec 10, 2022
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    CEICdata.com (2022). Equatorial Guinea GQ: Prevalence of Stunting: Height for Age: % of Children Under 5, Modeled Estimate [Dataset]. https://www.ceicdata.com/en/equatorial-guinea/social-health-statistics/gq-prevalence-of-stunting-height-for-age--of-children-under-5-modeled-estimate
    Explore at:
    Dataset updated
    Dec 10, 2022
    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 1, 2011 - Dec 1, 2022
    Area covered
    Equatorial Guinea
    Description

    Equatorial Guinea GQ: Prevalence of Stunting: Height for Age: % of Children Under 5, Modeled Estimate data was reported at 17.100 % in 2024. This records a decrease from the previous number of 17.200 % for 2023. Equatorial Guinea GQ: Prevalence of Stunting: Height for Age: % of Children Under 5, Modeled Estimate data is updated yearly, averaging 24.900 % from Dec 2000 (Median) to 2024, with 25 observations. The data reached an all-time high of 38.300 % in 2000 and a record low of 17.100 % in 2024. Equatorial Guinea GQ: Prevalence of Stunting: Height for Age: % of Children Under 5, Modeled Estimate data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Equatorial Guinea – Table GQ.World Bank.WDI: Social: Health Statistics. Prevalence of stunting is the percentage of children under age 5 whose height for age is more than two standard deviations below the median for the international reference population ages 0-59 months. For children up to two years old height is measured by recumbent length. For older children height is measured by stature while standing. The data are based on the WHO's 2006 Child Growth Standards.;UNICEF, WHO, World Bank: Joint child Malnutrition Estimates (JME).;Weighted average;Undernourished children have lower resistance to infection and are more likely to die from common childhood ailments such as diarrheal diseases and respiratory infections. Frequent illness saps the nutritional status of those who survive, locking them into a vicious cycle of recurring sickness and faltering growth (UNICEF). Being even mildly underweight increases the risk of death and inhibits cognitive development in children. And it perpetuates the problem across generations, as malnourished women are more likely to have low-birth-weight babies. Stunting, or being below median height for age, is often used as a proxy for multifaceted deprivation and as an indicator of long-term changes in malnutrition. Estimates are modeled estimates produced by the JME. Primary data sources of the anthropometric measurements are national surveys. These surveys are administered sporadically, resulting in sparse data for many countries. Furthermore, the trend of the indicators over time is usually not a straight line and varies by country. Tracking the current level and progress of indicators helps determine if countries are on track to meet certain thresholds, such as those indicated in the SDGs. Thus the JME developed statistical models and produced the modeled estimates.

  15. T

    Germany - Prevalence Of Undernourishment (% Of Population)

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Jul 22, 2013
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    TRADING ECONOMICS (2013). Germany - Prevalence Of Undernourishment (% Of Population) [Dataset]. https://tradingeconomics.com/germany/prevalence-of-undernourishment-percent-of-population-wb-data.html
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    excel, json, xml, csvAvailable download formats
    Dataset updated
    Jul 22, 2013
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 1, 1976 - Dec 31, 2025
    Area covered
    Germany
    Description

    Prevalence of undernourishment (% of population) in Germany was reported at 2.5 % in 2022, according to the World Bank collection of development indicators, compiled from officially recognized sources. Germany - Prevalence of undernourishment (% of population) - actual values, historical data, forecasts and projections were sourced from the World Bank on September of 2025.

  16. T

    Cuba - Prevalence Of Undernourishment (% Of Population)

    • tradingeconomics.com
    csv, excel, json, xml
    Updated May 30, 2017
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    TRADING ECONOMICS (2017). Cuba - Prevalence Of Undernourishment (% Of Population) [Dataset]. https://tradingeconomics.com/cuba/prevalence-of-undernourishment-percent-of-population-wb-data.html
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    json, csv, xml, excelAvailable download formats
    Dataset updated
    May 30, 2017
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 1, 1976 - Dec 31, 2025
    Area covered
    Cuba
    Description

    Prevalence of undernourishment (% of population) in Cuba was reported at 2.5 % in 2022, according to the World Bank collection of development indicators, compiled from officially recognized sources. Cuba - Prevalence of undernourishment (% of population) - actual values, historical data, forecasts and projections were sourced from the World Bank on September of 2025.

  17. G

    Germany DE: Prevalence of Stunting: Height for Age: % of Children Under 5,...

    • ceicdata.com
    Updated Dec 15, 2015
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    CEICdata.com (2015). Germany DE: Prevalence of Stunting: Height for Age: % of Children Under 5, Modeled Estimate [Dataset]. https://www.ceicdata.com/en/germany/social-health-statistics/de-prevalence-of-stunting-height-for-age--of-children-under-5-modeled-estimate
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    Dataset updated
    Dec 15, 2015
    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 1, 2011 - Dec 1, 2022
    Area covered
    Germany
    Description

    Germany DE: Prevalence of Stunting: Height for Age: % of Children Under 5, Modeled Estimate data was reported at 2.200 % in 2024. This records an increase from the previous number of 2.100 % for 2023. Germany DE: Prevalence of Stunting: Height for Age: % of Children Under 5, Modeled Estimate data is updated yearly, averaging 1.500 % from Dec 2000 (Median) to 2024, with 25 observations. The data reached an all-time high of 2.200 % in 2024 and a record low of 1.100 % in 2001. Germany DE: Prevalence of Stunting: Height for Age: % of Children Under 5, Modeled Estimate data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Germany – Table DE.World Bank.WDI: Social: Health Statistics. Prevalence of stunting is the percentage of children under age 5 whose height for age is more than two standard deviations below the median for the international reference population ages 0-59 months. For children up to two years old height is measured by recumbent length. For older children height is measured by stature while standing. The data are based on the WHO's 2006 Child Growth Standards.;UNICEF, WHO, World Bank: Joint child Malnutrition Estimates (JME).;Weighted average;Undernourished children have lower resistance to infection and are more likely to die from common childhood ailments such as diarrheal diseases and respiratory infections. Frequent illness saps the nutritional status of those who survive, locking them into a vicious cycle of recurring sickness and faltering growth (UNICEF). Being even mildly underweight increases the risk of death and inhibits cognitive development in children. And it perpetuates the problem across generations, as malnourished women are more likely to have low-birth-weight babies. Stunting, or being below median height for age, is often used as a proxy for multifaceted deprivation and as an indicator of long-term changes in malnutrition. Estimates are modeled estimates produced by the JME. Primary data sources of the anthropometric measurements are national surveys. These surveys are administered sporadically, resulting in sparse data for many countries. Furthermore, the trend of the indicators over time is usually not a straight line and varies by country. Tracking the current level and progress of indicators helps determine if countries are on track to meet certain thresholds, such as those indicated in the SDGs. Thus the JME developed statistical models and produced the modeled estimates.

  18. M

    Marshall Islands MH: Prevalence of Stunting: Height for Age: % of Children...

    • ceicdata.com
    Updated Feb 1, 2024
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    CEICdata.com (2024). Marshall Islands MH: Prevalence of Stunting: Height for Age: % of Children Under 5, Modeled Estimate [Dataset]. https://www.ceicdata.com/en/marshall-islands/social-health-statistics/mh-prevalence-of-stunting-height-for-age--of-children-under-5-modeled-estimate
    Explore at:
    Dataset updated
    Feb 1, 2024
    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 1, 2011 - Dec 1, 2022
    Area covered
    Marshall Islands
    Description

    Marshall Islands MH: Prevalence of Stunting: Height for Age: % of Children Under 5, Modeled Estimate data was reported at 30.000 % in 2024. This stayed constant from the previous number of 30.000 % for 2023. Marshall Islands MH: Prevalence of Stunting: Height for Age: % of Children Under 5, Modeled Estimate data is updated yearly, averaging 37.800 % from Dec 2000 (Median) to 2024, with 25 observations. The data reached an all-time high of 41.000 % in 2001 and a record low of 30.000 % in 2024. Marshall Islands MH: Prevalence of Stunting: Height for Age: % of Children Under 5, Modeled Estimate data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Marshall Islands – Table MH.World Bank.WDI: Social: Health Statistics. Prevalence of stunting is the percentage of children under age 5 whose height for age is more than two standard deviations below the median for the international reference population ages 0-59 months. For children up to two years old height is measured by recumbent length. For older children height is measured by stature while standing. The data are based on the WHO's 2006 Child Growth Standards.;UNICEF, WHO, World Bank: Joint child Malnutrition Estimates (JME).;Weighted average;Undernourished children have lower resistance to infection and are more likely to die from common childhood ailments such as diarrheal diseases and respiratory infections. Frequent illness saps the nutritional status of those who survive, locking them into a vicious cycle of recurring sickness and faltering growth (UNICEF). Being even mildly underweight increases the risk of death and inhibits cognitive development in children. And it perpetuates the problem across generations, as malnourished women are more likely to have low-birth-weight babies. Stunting, or being below median height for age, is often used as a proxy for multifaceted deprivation and as an indicator of long-term changes in malnutrition. Estimates are modeled estimates produced by the JME. Primary data sources of the anthropometric measurements are national surveys. These surveys are administered sporadically, resulting in sparse data for many countries. Furthermore, the trend of the indicators over time is usually not a straight line and varies by country. Tracking the current level and progress of indicators helps determine if countries are on track to meet certain thresholds, such as those indicated in the SDGs. Thus the JME developed statistical models and produced the modeled estimates.

  19. T

    Switzerland - Prevalence Of Undernourishment (% Of Population)

    • tradingeconomics.com
    csv, excel, json, xml
    Updated May 30, 2017
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    TRADING ECONOMICS (2017). Switzerland - Prevalence Of Undernourishment (% Of Population) [Dataset]. https://tradingeconomics.com/switzerland/prevalence-of-undernourishment-percent-of-population-wb-data.html
    Explore at:
    csv, xml, json, excelAvailable download formats
    Dataset updated
    May 30, 2017
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 1, 1976 - Dec 31, 2025
    Area covered
    Switzerland
    Description

    Prevalence of undernourishment (% of population) in Switzerland was reported at 2.5 % in 2022, according to the World Bank collection of development indicators, compiled from officially recognized sources. Switzerland - Prevalence of undernourishment (% of population) - actual values, historical data, forecasts and projections were sourced from the World Bank on September of 2025.

  20. c

    Global Biofortification Market Report 2025 Edition, Market Size, Share,...

    • cognitivemarketresearch.com
    pdf,excel,csv,ppt
    Updated Jul 30, 2024
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    Cognitive Market Research (2024). Global Biofortification Market Report 2025 Edition, Market Size, Share, CAGR, Forecast, Revenue [Dataset]. https://www.cognitivemarketresearch.com/biofortification-market-report
    Explore at:
    pdf,excel,csv,pptAvailable download formats
    Dataset updated
    Jul 30, 2024
    Dataset authored and provided by
    Cognitive Market Research
    License

    https://www.cognitivemarketresearch.com/privacy-policyhttps://www.cognitivemarketresearch.com/privacy-policy

    Time period covered
    2021 - 2033
    Area covered
    Global
    Description

    According to cognitive market research, the global biofortification market size was valued at xx million in 2024 and is projected to reach xx million by 2031, registering a CAGR of xx % from 2024 to 2031.

    Biofortification is the process of improving the nutritional quality of food crops. This can be achieved through agronomic practices, conventional breeding, or biotechnology-based approaches like genetic engineering and genome editing. Biofortification is the idea of breeding crops to increase their nutritional value.
    The need for biofortification cannot be ignored, especially in a post-pandemic world where millions of people have been forced into poverty and hidden hunger is a widely prevalent phenomenon.
    The initial cost of fortification, which includes buying equipment, quality control procedures, and fortified additives, can be high for many food businesses.
    Asia-Pacific leads the world market for biofortification because of the strong growth potential in agriculture in this region as well as the growing consumer preference for food with a high nutritional content, which is expected to drive demand for biofortified crops.
    

    Market Dynamics of the Biofortification Market

    Key Drivers of the Biofortification Market

    Increasing demand for high-nutrition food is expected to boost the market for biofortification
    

    Growing consumer health consciousness due to health challenges, such as instances of malnutrition and nutritional deficiencies, and increased demand for high-nutrition foods are driving the biofortification industry. Growing investments in agricultural expansion and increasing technology advancements are helping the worldwide biofortification industry. The number of children experiencing malnutrition and the rising rates of nutritional deficiencies are expected to drive up demand for biofortification. The global biofortification market is expected to grow during the estimated period due to rising demand. The demand for biofortification is predicted to rise in response to the increasing rates of nutritional deficiencies and the number of children suffering from malnutrition. As a result of surging demand, the worldwide biofortification market is predicted to increase in the projected period. • For instance, In October 2020, the Tanzanian government launched the National Biofortification Guidelines, which will aid in preventing nutrient deficiencies among the populace and reaffirm its commitment to combating malnutrition. The recommendations give stakeholders guidance on how to manage their agricultural value chain activities. They were released by the Ministry of Agriculture (MOA) in partnership with Nutrition International. (Source:https://scalingupnutrition.org/news/tanzania-releases-national-biofortification-guidelines-address-malnutrition-challenge)

    Restraints of the Biofortification Market

    The cost of fortification and nutrient stability is hampering the market growth of biofortification
    

    One major obstacle may be the expense of fortification, which includes the acquisition, preparation, and distribution of fortified foods. The initial cost of fortification, which includes buying equipment, quality control procedures, and fortified additives, can be high for many food businesses. Fortified items may become less cheap for customers as a result of these additional expenditures, especially in areas with lower income levels. Nutrient stability is also a significant problem. Certain minerals and vitamins can degrade during processing and storage because they are sensitive to elements like heat, light, and oxygen. Throughout the product's shelf life, stability and bioavailability must be maintained to guarantee that consumers obtain the desired nutritional advantages. creating goods that may survive these difficulties and still adhere to regulation.

    How Did Covid-19 Impact On The Biofortification Market

    Reversing the impact of years of poverty, the COVID-19 pandemic, and other disruptions is only possible through nutrient-based strategies like biofortification. As per the World Health Organization (WHO), biofortification is a process of breeding staple crops to enhance their nutritional quality and profile. It is a relatively novel approach to nutrient enrichment and one of the most effective, efficient, and sustainable ways of addressing the issue of hidden hunger amongst the masses, especially in developing nations. The ...

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Statista (2025). Global Hunger Index 2024 countries most affected by hunger [Dataset]. https://www.statista.com/statistics/269924/countries-most-affected-by-hunger-in-the-world-according-to-world-hunger-index/
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Global Hunger Index 2024 countries most affected by hunger

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7 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Feb 17, 2025
Dataset authored and provided by
Statistahttp://statista.com/
Time period covered
2024
Area covered
Worldwide
Description

According to the Global Hunger Index 2024, which was adopted by the International Food Policy Research Institute, Somalia was the most affected by hunger and malnutrition, with an index of 44.1. Yemen and Chad followed behind. The World Hunger Index combines three indicators: undernourishment, child underweight, and child mortality. Sub-Saharan Africa most affected The index is dominated by countries in Sub-Saharan Africa. In the region, more than one fifth of the population is undernourished . In terms of individuals, however, South Asia has the highest number of undernourished people. Globally, there are 735 million people that are considered undernourished or starving. A lack of food is increasing in over 20 countries worldwide. Undernourishment worldwide The term malnutrition includes both undernutrition and overnutrition. Undernutrition occurs when an individual cannot maintain normal bodily functions such as growth, recovering from disease, and both learning and physical work. Some conditions such as diarrhea, malaria, and HIV/AIDS can all have a negative impact on undernutrition. Rural and agricultural communities can be especially susceptible to hunger during certain seasons. The annual hunger gap occurs when a family’s food supply may run out before the next season’s harvest is available and can result in malnutrition. Nevertheless, the prevalence of people worldwide that are undernourished has decreased over the last decades, from 18.7 percent in 1990-92 to 9.2 percent in 2022, but it has slightly increased since the outbreak of COVID-19. According to the Global Hunger Index, the reduction of global hunger has stagnated over the past decade.

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