Country Nutrition Profiles

Explore the latest data on nutrition at global, regional and country level. Use our interactive profiles to find out what progress your country has made towards the global nutrition targets. Photo: Asian Development Bank

Select and filter regions and countries

Comoros

Share section

The burden of malnutrition at a glance

Comoros is 'off course' to meet all of the global nutrition targets for which there was sufficient data to assess progress.

Comoros is 'off course' to meet all targets for maternal, infant and young child nutrition (MIYCN). No progress has been made towards achieving the target of reducing anaemia among women of reproductive age, with 29.3% of women aged 15 to 49 years now affected. Meanwhile, there has also been some progress towards achieving the low birth weight target with 23.7% of infants having a low weight at birth. There is insufficient data to assess the progress that Comoros has made towards achieving the exclusive breastfeeding target; however, the latest prevalence data shows that 11.4% of infants aged 0 to 5 months are exclusively breastfed. Similarly, there is insufficient data to assess the progress that Comoros has made towards achieving the target for stunting; however, the latest prevalence data shows that 31.1% of children under 5 years of age are affected. This is higher than the average for the Africa region (29.1%). There is also insufficient data to assess the progress that Comoros has made towards achieving the target for wasting; however, the latest prevalence data shows that 11.2% of children under 5 years of age are affected. This is higher than the average for the Africa region (6.4%). The prevalence of overweight children under 5 years of age is 10.6%, but there is insufficient data available to assess whether Comoros is on course to prevent the figure from increasing.

Comoros has shown limited progress towards achieving the diet-related non-communicable disease (NCD) targets. The country has shown no progress towards achieving the target for obesity, with an estimated 12.2% of adult (aged 18 years and over) women and 3.3% of adult men living with obesity. Comoros' obesity prevalence is lower than the regional average of 18.4% for women and 7.8% for men. At the same time, diabetes is estimated to affect 8.0% of adult women and 7.9% of adult men.

Progress towards the global nutrition targets

WRA anaemia

WRA anaemia

No progress or worsening
Low birth weight

Low birth weight

Some progress
Exclusive breastfeeding

Exclusive breastfeeding

No data
Under-5 stunting

Under-5 stunting

No data
Under-5 wasting

Under-5 wasting

No data
Under-5 overweight

Under-5 overweight

No data
Adult female obesity

Adult female obesity

No progress or worsening
Adult male obesity

Adult male obesity

No progress or worsening
Adult female diabetes

Adult female diabetes

No progress or worsening
Adult male diabetes

Adult male diabetes

No progress or worsening

Source: WHO Global Health Observatory 2017; UNICEF/WHO low birthweight estimates, 2019; UNICEF global databases Infant and Young Child Feeding, 2020; UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Stunting, Wasting and Overweight (July 2020, New York); NCD Risk Factor Collaboration 2016-2017.

Notes: Progress towards the maternal, infant and young child nutrition (MIYCN) and diet-related non-communicable disease (NCD) global nutrition targets is classified as ‘on course’ if the target is met or as ‘off course’ if the target is not met (including ‘some’ progress and ‘no progress or worsening’ country-level classifications). MIYCN targets include anaemia among women of reproductive age (WRA, 15–49 years), infants with low birthweight, exclusive breastfeeding among infants under 6 months of age, and stunting, wasting and overweight in children under 5 years of age. NCD targets include adult obesity and diabetes; raised blood pressure and salt intake are not presented due to lack of country-level data. Obesity and diabetes are based on age-standardised modelled estimates for adults aged 18 years and older, using the WHO standard population; they are reported by sex due to limitations in data availability. Anaemia and low birthweight are also based on modelled estimates. The specific targets set are: 50% reduction of WRA anaemia, 30% reduction in low birthweight, increase the rate of exclusive breastfeeding in the first 6 months up to at least 50%, 40% reduction of under-5 stunting, reduce and maintain under-5 wasting to less than 5%, no increase in under-5 overweight; and halt the rise in obesity and diabetes prevalence. The methodologies for tracking progress differ across targets. See Methodology for more information on the indicators.

Share section

Diet

Infant and young child feeding

Prevalence of infant and young child feeding indicators

Profile data image

Source: UNICEF global databases: Infant and Young Child Feeding (July 2020, New York). Available at: http://data.unicef.org/nutrition/iycf. Accessed 30 November 2020.

Notes: Prevalence (%) estimates are presented for infants and young children aged 0–23 months (age varies by indicator). Location is classified as ‘urban’ or ‘rural’ (as defined in the survey). Education refers to the educational level of the mother and is classified as ‘none or primary’ or ‘secondary or higher’. Wealth is asset-based wealth scores at the household level, classified as quintiles: ‘lowest’, ‘second lowest’, ‘middle’, ‘second highest’ and ‘highest’. See Methodology for more information on the indicators.

Dietary intakes

Dietary intakes of key foods and nutrients in adults aged 25 years and over

Profile data image

Source: Global Burden of Disease, the Institute for Health Metrics and Evaluation, 2020.

Notes: Intakes are reported in grams per day (g/d) for all dietary factors, except for omega 3 fatty acids (milligrams per day; mg/d) and polyunsaturated, saturated and trans fatty acids (percentage of daily energy intake; %E). Intakes are based on modelled estimates for adults aged 25 years and older. Regional intakes are based on population-weighted means of 54 countries and sub-regional intakes are based on population-weighted means of 18 countries. The dietary factors have been selected as those diet components that have a statistically significant relationship with at least one disease endpoint that can be generalisable to all populations. Protective dietary factors include fruit, vegetables, legumes, nuts and seeds, whole grains, milk, fibre, polyunsaturated fat, omega 3 fatty acids and calcium. Harmful dietary factors include red meats, processed meats, sugar-sweetened beverages, trans fat and sodium. The theoretical minimum risk of exposure level (TMREL) represents the optimal dietary intake that minimises risk from all causes of deaths combined. For protective dietary factors, risk is assessed for intakes below the TMREL; intakes above the TMREL do not further reduce the risk. For all harmful dietary factors, except sodium, TMREL is set to zero, hence risk is assessed for intakes above the TMREL; for sodium, intakes below the TMREL provide no additional health benefit. See Methodology for more information on the indicators.

Share section

Nutrition strategies and financing

National nutrition policies

Implemented national food and NCD policies

Food-based dietary guidelines
No
Legislation for mandatory salt iodisation
No
Sugar-sweetened beverage tax
No
Policy to reduce salt/sodium consumption
No
Policy to limit saturated fatty acid intake
No
Policy to eliminate industrially produced trans fatty acids
No
Policy to reduce the impact of marketing of foods and beverages high in saturated fats, trans fatty acids, free sugars, or salt on children
No
Operational policy, strategy, or action plan to reduce unhealthy diet related to non-communicable diseases
No
Operational, multisectoral policy, strategy or action plan for non-communicable diseases
No
Operational policy, strategy or action plan for diabetes
No

Source: Global Fortification Data Exchange, 2019. Available at: https://fortificationdata.org/interactive-map-fortification-legislation. Accessed 30 November 2020; WHO Country Capacity Survey, 2017; WHO Global Nutrition Policy Review, 2016–2017; WHO Global database on the Implementation of Nutrition Action (GINA); World Cancer Research Fund International NOURISHING database; FAO 2020. Available at: http://www.fao.org/nutrition/education/food- based-dietary-guidelines/en. Accessed 30 November 2020; WHO Global Health Observatory, 2020. Available at: https://apps.who.int/gho/data/view.main.2473. Accessed 30 November 2020.

Notes: Country with food-based dietary guidelines in 2018, sugar-sweetened beverage tax in 2017 and all other policies in 2019. Policy is defined as a specific official decision or set of decisions designed to carry out a course of action endorsed by a political body, including a set of goals, priorities and main directions for attaining these goals, including legislation and product reformulation mandates. Strategy is defined as a long-term plan designed to achieve a particular goal. Action plan is defined as a scheme or course of action, which may correspond to a policy or strategy, with defined activities indicating who does what, when, how and with what resources to accomplish an objective. ‘Operational’ describes a policy, strategy or plan of action being used and implemented in the country, with resources and funding available to implement it. ‘Multisectoral’ applies to a policy, strategy or plan of action that involves different sectors (e.g., health, agriculture, education, finance). See Methodology for more information on the indicators.

National policy targets

Inclusion of targets related to the global nutrition targets in national policies

Reduce anaemia among women
Yes
Reduce number of infants born with low birth weight
Yes
Increase prevalence of exclusive breastfeeding in infants 0–5 months
Yes
Reduce child stunting
Yes
Reduce child wasting
Yes
Reduce child overweight
No
Reduce adolescent and adult overweight
Yes
Reduce salt/sodium intake
No
Reduce raised blood pressure prevalence
No
Reduce blood sugar levels/diabetes prevalence
Yes
Multisectoral comprehensive nutrition plan
No

Source: WHO GINA, 2nd Global Nutrition Policy Review, 2016–2017.

Notes: Target included in national policies in 2017. Any national government-implemented policy, strategy or plan relevant to improving nutrition and promoting healthy diet was considered for 194 countries. Legislation, codes, regulations, protocols and guidelines, as well as non-governmental policies, were excluded. See Methodology for more information on the indicators.

Nutrition intervention coverage

Population coverage of key supplementation and fortification interventions

Coverage/practice indicator Total (%) Boy (%) Girl (%) Year
Children 0–59 months with diarrhoea in the past two weeks preceding the survey who received zinc treatment 0 0 0 2012
Children 6–59 months who received two high-dose vitamin A supplements in a calendar year 11 No data No data 2018
Children 6–59 months given iron supplements in the seven days preceding the survey 25 25 24 2012
Women with a live birth in the five years preceding the survey who received iron tablets or syrup during antenatal care No data NA NA No data
Households consuming any iodised salt 82 NA NA 2012

Source: UNICEF global databases: Child Health (August 2020, New York). Available at: https://data.unicef.org/topic/child-health/diarrhoeal-disease; UNICEF global databases: Child Health (March 2020, New York). Available at: https://data.unicef.org/resources/dataset/vitamin-supplementation; STATcompiler, the DHS Program, 2019. Available at: www.statcompiler.com/en. UNICEF global databases on iodized salt (June 2019, New york). Available at: https://data.unicef.org/topic/nutrition/iodine. Accessed 30 November 2020.

Notes: Estimates are reported as percentages (%). See Methodology for more information on the indicators.

Official development assistance (ODA)

Allocation of ODA for nutrition

Profile data image

Source: Development Initiatives based on OECD DAC CRS, 2019.

Notes: Gross official development assistance (ODA) received or disbursed for basic nutrition (CRS code: 12240) reported in US$ millions (constant 2018 prices) and as percentage (%) of the total ODA received/disbursed. Estimates include ODA grants and loans, but excludes other official flows and private grants. See Methodology for more information on the indicators.

Share section

Social determinants of nutrition

Population composition

Total population, thousands 870
Under-5 population, thousands 124
65 and over population, thousands 27
Rural population, % 71

Source: UN Department of Economic and Social Affairs, Population Division (2019). World Population Prospects 2019. Available at: https://population.un.org/wpp/Download/Standard/Population. Accessed: 30 November 2020.

Notes: Estimates are reported in thousands for total population, population group aged 0–59 months, population group aged above 65 years and as percentage (%) for population living in rural areas. All estimates are based on modelled estimates for 2020. See Methodology for more information on the indicators.

Prevalence of undernourishment

We have no data for this section

Under-5 mortality rate per 1,000 live births

Profile data image

Source: UNICEF global databases: Under-five mortality (September 2020, New York). Available at: http://data.unicef.org/child-mortality/under-five. Accessed 30 November 2020.

Notes: Number of deaths of children aged 0–59 months per 1,000 live births, based on modelled estimates up to 2019. See Methodology for more information on the indicators.

Population density of health workers per 1,000 people

Type Number Year
Medical doctors 0.27 2016
Nurses and midwives 0.63 2016
Community health workers No data No data

Source: WHO's Global Health Workforce Statistics, OECD, supplemented by country data, 2019. Available at: https://data.worldbank.org/indicator. Accessed: 30 November 2020.

Notes: Number of health workers per 1,000 people, based on modelled estimates. Health worker definition and training vary across countries and human resources tend to be concentrated in urban areas, so inferences may be affected. Physicians include generalist and specialist medical doctors. Nurses and midwives include professional, auxiliary and enrolled nurses and midwives, as well as other associated personnel, e.g. dental and primary care nurses. Community health workers include various types of community health aides, many with country-specific occupational titles such as community health officers, community health-education workers, family health workers, lady health visitors and health extension package workers. See Methodology for more information on the indicators.

Source of drinking water

Profile data image

Source: WHO/UNICEF Joint Monitoring Programme for Water Supply and Sanitation, 2020. Available at: https://washdata.org/data. Accessed: 30 November 2020.

Notes: Percentage (%) of population using each drinking water source, based on modelled estimates up to 2017. ‘Safely managed’ refers to using an improved (i.e. by design and construction has the potential to deliver safe water) drinking water source is located on the premises, available when needed and free from faecal and priority chemical contamination. ‘Basic’ refers to using an improved source, for which water collection time is not more than 30 minutes for a round trip, including queuing. ‘Limited’ refers to an improved source for which water collection time exceeds 30 minutes for a round trip including queuing. ‘Unimproved’ refers to an unprotected dug well or unprotected spring. ‘Surface water’ refers to drinking water directly from a river, dam, lake, pond, stream, canal or irrigation canal. See Methodology for more information on the indicators.

Type of sanitation facility

Profile data image

Source: WHO/UNICEF Joint Monitoring Programme for Water Supply and Sanitation, 2020. Available at: https://washdata.org/data. Accessed: 30 November 2020.

Notes: Percentage (%) of population using different types of sanitation facilities, based on modelled estimates up to 2017. ‘Safely managed’ refers to using improved (i.e. designed to hygienically separate excreta from human contact) sanitation facilities not shared with other households and where excreta are safely disposed in situ or transported and treated off-site. ‘Basic’ refers to using improved facilities not shared with other households. ‘Limited’ refers to using improved facilities shared between two or more households. ‘Unimproved’ refers to using pit latrines without a slab or platform, hanging latrines or bucket latrines. ‘Open defecation’ refers to disposal of human faeces in fields, forests, bushes, open bodies of water, beaches and other open spaces or with solid waste. See Methodology for more information on the indicators.

Annual gross domestic product (GDP) per capita

Profile data image

Source: International Monetary Fund (IMF) World Economic Outlook database, 2020. Available at: https://www.imf.org/en/Publications/WEO/weo-database/2020/October. Accessed: 30 November 2020.

Notes: Annual gross domestic product (GDP) per capita based on purchasing power parity (PPP) in constant 2017 international dollars. See Methodology for more information on the indicators.

Population living below the poverty line

Profile data image

Source: World Bank, 2020. Available at: http://iresearch.worldbank.org/PovcalNet/home.aspx. Accessed: 30 November 2020.

Notes: Percentage (%) of population living on less than US$1.90 or less than US$3.20 per day, based on 2011 purchasing power parity (PPP), up to 2018. See Methodology for more information on the indicators.

Country income inequality index

Gini index score Gini index rank Year
45 No data 2014

Source: World Bank, 2020. Available at: https://data.worldbank.org/indicator/SI.POV.GINI. Accessed: 30 November 2020.

Notes: Country income inequality in 2018, based on the Gini index, which measures the extent to which the distribution of income (or, in some cases, consumption expenditure) among individuals or households in an economy deviates from a perfectly equal distribution. The Gini index ranges from 0 (perfect equality) to 100 (perfect inequality). Countries are ranked from most equal (1) to most unequal (XXX). See Methodology for more information on the indicators.

Gender-related determinants

Early childbearing 17 2012
Gender Inequality Index (score) No data No data
Gender Inequality Index (country rank) No data No data

Source: UNICEF global databases: Maternal and Newborn Health Coverage (August 2020, New York). Available at: http://data.unicef.org/maternal-health/delivery-care; UN Development Programme (UNDP). Human Development Report, 2019. Available at: http://hdr.undp.org/en/content/table-5-gender-inequality-index-gii. Accessed: 30 November 2020.

Notes: Early childbearing refers to the percentage (%) of women aged 20–24 years who gave birth before the age of 18 in 2019. The Gender Inequality Index (GII) measures: gender inequalities in reproductive health, measured by maternal mortality ratio and adolescent birth rates; empowerment, measured by proportion of parliamentary seats occupied by women and proportion of women and men aged 25 years and older with at least some secondary education; and economic status, expressed as labour market participation and measured by labour force participation rate of female and male populations aged 15 years and older. GII ranges from 0 (women and men fare equally) to 1 (one gender fares as poorly as possible in all measured dimensions). Countries are ranked from most equal (1) to most unequal (XXX). See Methodology for more information on the indicators.

Prevalence of female secondary school enrolment

Profile data image

Source: UNESCO Institute for Statistics, 2019. Accessed: 30 November 2020.

Notes: Percentage (net, %) estimates refer to the ratio of female children of official school age enrolled in secondary school to the population of the corresponding official school age. See Methodology for more information on the indicators.