Мали
Low income
- Общ преглед
- Разпространение на затлъстяването
- Тенденции във времето
- Разбивки на населението
- Причини
- Съпътстващи заболявания
- Икономическо въздействие
- Политики
- Contextual factors
Report cards
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Разбивки на населението
Причини
Недостатъчна активност
Консумация на плодове
Консумация на преработено месо
Консумация на зърнени култури
Депресия
Тревожност
Причини за затлъстяването »
Like all chronic diseases, the root causes/drivers of obesity are complex. Select here to view 'other' root causes/drivers.Кърмене
Unaffordable diet
Изтегляне на карта за отчитане
Съпътстващи заболявания
Рак на хранопровода
Рак на гърдата
Колоректален рак
Рак на панкреаса
Рак на жлъчния мехур
Рак на бъбреците
Рак на матката
Повишено кръвно налягане
Повишен холестерол
Повишена кръвна захар на гладно
Преобладаване на диабета
Ovarian Cancer
Leukemia
Liver & bile duct cancer
Mulitple Myeloma
Non Hodgkin Lymphoma
Thyroid Cancer
Изтегляне на карта за отчитане
Икономическо въздействие
Contextual factors
Разпространение на затлъстяването
Жени, 2023-2024
| Тип анкета: | Измерено |
| Възраст: | 20-49 |
| Количество на пробите: | 5,757 |
| Обхваната зона: | Национално |
| Референции: | Institut National de la Statistique (INSTAT), Cellule de Planification et de Statistique du Secteur Santé, Développement Social et Promotion de la Famille (CPS/SS-DS-PF) et ICF. 2025. Enquête Démographique et de Santé au Mali 2023–2024. Rapport Final. Bamako, Mali, et Rockville, Maryland, USA : INSTAT, CPS/SS-DSPF, et ICF. https://dhsprogram.com/publications/publication-FR394-DHS-Final-Reports.cfm [Accessed 03.10.25] |
| Забележки: | Excludes pregnant women and women who gave birth within the previous 2 months |
| Освен ако не е посочено друго, наднорменото тегло се отнася до ИТМ между 25 kg и 29,9°kg/m², затлъстяването се отнася до ИТМ, по-голям от 30°. | |
Жени, 2018
| Тип анкета: | Измерено |
| Възраст: | 15-49 |
| Количество на пробите: | 4357 |
| Обхваната зона: | Национално |
| Референции: | Institut National de la Statistique - INSTAT, Cellule de Planification et de Statistique Secteur Santé-Développement Social et Promotion de la Famille CPS/SS-DS-PF et ICF. 2019. Enquête Démographique et de Santé au Mali 2018.Bamako, Mali et Rockville, Maryland, USA : INSTAT, CPS/SS-DS-PF et ICF. Available at https://www.dhsprogram.com/pubs/pdf/FR358/FR358.pdf last accessed 03.08.2022 |
| Забележки: | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
| Освен ако не е посочено друго, наднорменото тегло се отнася до ИТМ между 25 kg и 29,9°kg/m², затлъстяването се отнася до ИТМ, по-голям от 30°. | |
Жени, 2012-2013
| Тип анкета: | Измерено |
| Възраст: | 15-49 |
| Количество на пробите: | 4502 |
| Обхваната зона: | Национално |
| Референции: | Cellule de Planification et de Statistique (CPS/SSDSPF), Institut National de la Statistique (INSTAT/MPATP), INFO-STAT et ICF International, 2014. Enquête Démographique et de Santé au Mali 2012-2013. Rockville, Maryland, USA : CPS, INSTAT, INFO-STAT et ICF International. |
| Забележки: | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
| Освен ако не е посочено друго, наднорменото тегло се отнася до ИТМ между 25 kg и 29,9°kg/m², затлъстяването се отнася до ИТМ, по-голям от 30°. | |
Жени, 2006
| Тип анкета: | Измерено |
| Възраст: | 15-49 |
| Количество на пробите: | 12010 |
| Обхваната зона: | Национално |
| Референции: | Cellule de Planification et de Statistique du Ministère de la Santé - CPS/MS/Mali, Direction Nationale de la Statistique et de l’Informatique du Ministère de l’Économie, de l’Industrie et du Commerce - DNSI/MEIC/Mali and Macro International. 2007. Enquête Démographique et de Santé du Mali 2006. Calverton, Maryland, USA: CPS/DNSI and Macro International. |
| Забележки: | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
| Освен ако не е посочено друго, наднорменото тегло се отнася до ИТМ между 25 kg и 29,9°kg/m², затлъстяването се отнася до ИТМ, по-голям от 30°. | |
Жени, 1996
| Тип анкета: | Измерено |
| Възраст: | 15-49 |
| Количество на пробите: | 4327 |
| Референции: | Martorell R, Khan LK, Hughes ML, Grummer Strawn LM. Obesity in women from developing countries. EJCN (2000) 54;247-252 |
| Забележки: | The data from this paper was sourced from the Demographic Health Survey Programme https://dhsprogram.com/ Central Statistical Office and Macro International. Calverton, Maryland, USA |
| Освен ако не е посочено друго, наднорменото тегло се отнася до ИТМ между 25 kg и 29,9°kg/m², затлъстяването се отнася до ИТМ, по-голям от 30°. | |
Момичета, 2023-2024
| Тип анкета: | Измерено |
| Възраст: | 15-19 |
| Количество на пробите: | 1,743 |
| Обхваната зона: | Национално |
| Референции: | Institut National de la Statistique (INSTAT), Cellule de Planification et de Statistique du Secteur Santé, Développement Social et Promotion de la Famille (CPS/SS-DS-PF) et ICF. 2025. Enquête Démographique et de Santé au Mali 2023–2024. Rapport Final. Bamako, Mali, et Rockville, Maryland, USA : INSTAT, CPS/SS-DSPF, et ICF. https://dhsprogram.com/publications/publication-FR394-DHS-Final-Reports.cfm [Accessed 03.10.25] |
| Забележки: | Excluding pregnant women and women who gave birth in the previous 2 months |
| Cutoffs: | WHO 2007 |
Момичета, 2012-2013
| Тип анкета: | Измерено |
| Възраст: | 15-19 |
| Количество на пробите: | 696 |
| Обхваната зона: | Национално |
| Референции: | Benedict, Rukundo K., Allison Schmale, and Sorrel Namaste. 2018. Adolescent Nutrition 2000-2017: DHS Data on Adolescents Age 15-19. DHS Comparative Report No. 47. Rockville, Maryland, USA: ICF. Cellule de Planification et de Statistique (CPS/SSDSPF), Institut National de la Statistique (INSTAT/MPATP), INFO-STAT et ICF International, 2014. Enquête Démographique et de Santé au Mali 2012-2013. Rockville, Maryland, USA : CPS, INSTAT, INFO-STAT et ICF International. |
| Забележки: | Small sample size |
| Определения: | BMI for age: between +1 SD and +2 SD is overweight and greater than +2 SD is obesity |
| Cutoffs: | WHO 2007 |
0-5 years, 2023-2024
| Тип анкета: | Измерено |
| Възраст: | 0-5 |
| Количество на пробите: | 15922 |
| Обхваната зона: | Национално |
| Референции: | Septième Enquête Démographique et de Santé au Mali 2023–2024 |
| Забележки: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight estimates: National and Disaggregated, July 2025, New York. Weighted sample size. For more information, please consult https://data.unicef.org/resources/jme/. |
| Определения: | Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Cutoffs: | =>+2SD |
0-5 years, 2022
| Възраст: | 0-5 |
| Количество на пробите: | 11174 |
| Референции: | SMART: ENQUÊTE NUTRITIONNELLE ANTHROPOMETRIQUE ET DE MORTALITE RETROSPECTIVE EN SEPTEMBRE 2022 12 E EDITION AU MALI |
| Забележки: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Определения: | =>+2SD |
0-5 years, 2021
| Възраст: | 0-5 |
| Количество на пробите: | 8005 |
| Референции: | SMART: Rapport Finale de l'Enquete Nutritionnelle Anthropometrique et de Mortality Retrospective 11e Edition au Mali |
| Забележки: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Определения: | =>+2SD |
0-5 years, 2020
| Възраст: | 0-5 |
| Количество на пробите: | 8837 |
| Референции: | SMART: 10ème Enquête Nutritionnelle Anthropométrique et de Mortalité Rétrospective basée sur la méthodologie SMART au Mali (SMART-2020 Mali) |
| Забележки: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Определения: | =>+2SD |
0-5 years, 2019
| Възраст: | 0-5 |
| Количество на пробите: | 12952 |
| Референции: | SMART: Enquête Nationale Nutritionnelle Anthropométrique et de Mortalité rétrospective suivant la méthodologie SMART, Mali 2019 |
| Забележки: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Определения: | =>+2SD |
0-5 years, 2018
| Възраст: | 0-5 |
| Количество на пробите: | 9881 |
| Референции: | DHS: Enquête Démographique et de Santé au Mali 2018. Bamako, Mali et Rockville, Maryland, USA : INSTAT, CPS/SS-DS-PF et ICF |
| Забележки: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Определения: | =>+2SD |
0-5 years, 2017
| Възраст: | 0-5 |
| Количество на пробите: | 13861 |
| Референции: | SMART: Enquête Nationale Nutritionnelle Anthropométrique et de Mortalité rétrospective suivant la méthodologie SMART, Mali 2017 |
| Забележки: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Определения: | =>+2SD |
0-5 years, 2016
| Възраст: | 0-5 |
| Количество на пробите: | 8000 |
| Референции: | SMART: Enquête Nutritionnelle et de Mortalité Rétrospective, Mali, 2016 |
| Забележки: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Определения: | =>+2SD |
0-5 years, 2015
| Възраст: | 0-5 |
| Количество на пробите: | 15723 |
| Референции: | MICS: Enquête par Grappes à Indicateurs Multiples au Mali (MICS-Mali), 2015, Résultats clés. Bamako, Mali, INSTAT |
| Забележки: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Определения: | =>+2SD |
0-5 years, 2014
| Възраст: | 0-5 |
| Количество на пробите: | 17744 |
| Референции: | SMART: Enquête Nutritionnelle et de Mortalité, Rétrospective, Mali, 2014 |
| Забележки: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Определения: | =>+2SD |
Момичета, 2014
| Възраст: | 0-5 |
| Количество на пробите: | 17745 |
| Референции: | SMART: Enquête Nutritionnelle et de Mortalité, Rétrospective, Mali, 2014 |
| Забележки: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Определения: | =>+2SD |
0-5 years, 2011
| Възраст: | 0-5 |
| Количество на пробите: | 929 |
| Референции: | SMART: Enquête Nationale Nutritionnelle Anthropométrique et de Mortalité Rétrospective, Mali 2011 |
| Забележки: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Определения: | =>+2SD |
0-5 years, 2009-2010
| Възраст: | 0-5 |
| Количество на пробите: | 22963 |
| Референции: | MICS: Enquête par Grappes à Indicateurs Multiples 2009 - 2010, Rapport final, Bamako Mali, 2011 |
| Забележки: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Определения: | =>+2SD |
0-5 years, 2006
| Възраст: | 0-5 |
| Количество на пробите: | 12369 |
| Референции: | DHS: Enquête démographique et de santé du Mali 2006. DHS. Calverton, Maryland, USA: CPS/DNSI et Macro International Inc., 2007 |
| Забележки: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Определения: | =>+2SD |
Момичета, 2006
| Възраст: | 0-5 |
| Количество на пробите: | 12370 |
| Референции: | DHS: Enquête démographique et de santé du Mali 2006. DHS. Calverton, Maryland, USA: CPS/DNSI et Macro International Inc., 2007 |
| Забележки: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Определения: | =>+2SD |
0-5 years, 2001
| Възраст: | 0-5 |
| Количество на пробите: | 10507 |
| Референции: | DHS: Enquête démographique et de santé au Mali 2001. Demographic and Health Surveys. Calverton, Maryland, USA: CPS/MS, DNSI et ORC Macro, 2002 |
| Забележки: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Определения: | =>+2SD |
0-5 years, 1995-1996
| Възраст: | 0-5 |
| Количество на пробите: | 4777 |
| Референции: | DHS: Enquête demographique et de santé Mali 1995-1996. Demographic and Health Surveys. Cellule de Planification et de Statistique. Bamako, Mali, 1996 |
| Забележки: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Определения: | =>+2SD |
0-5 years, 1987
| Възраст: | 0-5 |
| Количество на пробите: | 1541 |
| Референции: | DHS: Enquête démographique et de santé au Mali, 1987. Demographic and Health Surveys. Bamako, Mali, 1989 |
| Забележки: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Определения: | =>+2SD |
% Adults living with obesity in Mali 1996-2018
| ??? ??????: | ???????? |
| ??????????: | 1996: Martorell R, Khan LK, Hughes ML, Grummer Strawn LM. Obesity in women from developing countries. EJCN (2000) 54;247-252 2006: Cellule de Planification et de Statistique du Ministère de la Santé - CPS/MS/Mali, Direction Nationale de la Statistique et de l’Informatique du Ministère de l’Économie, de l’Industrie et du Commerce - DNSI/MEIC/Mali and Macro International. 2007. Enquête Démographique et de Santé du Mali 2006. Calverton, Maryland, USA: CPS/DNSI and Macro International. 2012: Cellule de Planification et de Statistique (CPS/SSDSPF), Institut National de la Statistique (INSTAT/MPATP), INFO-STAT et ICF International, 2014. Enquête Démographique et de Santé au Mali 2012-2013. Rockville, Maryland, USA : CPS, INSTAT, INFO-STAT et ICF International. 2018: Institut National de la Statistique - INSTAT, Cellule de Planification et de Statistique Secteur Santé-Développement Social et Promotion de la Famille CPS/SS-DS-PF et ICF. 2019. Enquête Démographique et de Santé au Mali 2018.Bamako, Mali et Rockville, Maryland, USA : INSTAT, CPS/SS-DS-PF et ICF. Available at https://www.dhsprogram.com/pubs/pdf/FR358/FR358.pdf last accessed 03.08.2022 |
| ?????????: | Adults aged 15-49 |
| ????? ??? ?? ? ???????? ?????, ???????????? ????? ?? ?????? ?? ??? ????? 25kg ? 29,9kg/m, ?????????????? ?? ?????? ?? ???, ??-????? ?? 30kg/m. | |
| ?? ???????? ?? ???? ????? ???? ?? ?? ?????????? ???????? ???????????, ???? ?? ??????? ?? ???????? ?????????? ???? ?? ?? ?? ?????? ????????. ????????? ??? ???????????? ????????? ?? ????? ?? ???????????? ??????????? | |
% Adults living with overweight or obesity in Mali 1996-2018
| ??? ??????: | ???????? |
| ??????????: | 1996: Martorell R, Khan LK, Hughes ML, Grummer Strawn LM. Obesity in women from developing countries. EJCN (2000) 54;247-252 2006: Cellule de Planification et de Statistique du Ministère de la Santé - CPS/MS/Mali, Direction Nationale de la Statistique et de l’Informatique du Ministère de l’Économie, de l’Industrie et du Commerce - DNSI/MEIC/Mali and Macro International. 2007. Enquête Démographique et de Santé du Mali 2006. Calverton, Maryland, USA: CPS/DNSI and Macro International. 2012: Cellule de Planification et de Statistique (CPS/SSDSPF), Institut National de la Statistique (INSTAT/MPATP), INFO-STAT et ICF International, 2014. Enquête Démographique et de Santé au Mali 2012-2013. Rockville, Maryland, USA : CPS, INSTAT, INFO-STAT et ICF International. 2018: Institut National de la Statistique - INSTAT, Cellule de Planification et de Statistique Secteur Santé-Développement Social et Promotion de la Famille CPS/SS-DS-PF et ICF. 2019. Enquête Démographique et de Santé au Mali 2018.Bamako, Mali et Rockville, Maryland, USA : INSTAT, CPS/SS-DS-PF et ICF. Available at https://www.dhsprogram.com/pubs/pdf/FR358/FR358.pdf last accessed 03.08.2022 |
| ?????????: | Adults aged 15-49 |
| ????? ??? ?? ? ???????? ?????, ???????????? ????? ?? ?????? ?? ??? ????? 25kg ? 29,9kg/m, ?????????????? ?? ?????? ?? ???, ??-????? ?? 30kg/m. | |
| ?? ???????? ?? ???? ????? ???? ?? ?? ?????????? ???????? ???????????, ???? ?? ??????? ?? ???????? ?????????? ???? ?? ?? ?? ?????? ????????. ????????? ??? ???????????? ????????? ?? ????? ?? ???????????? ??????????? | |
?????????? ?????/???????????? ?? ???????????
????, 2023-2024
| ??? ??????: | ???????? |
| ???????: | 20-49 |
| ?????????? ?? ???????: | 5,757 |
| ????????? ????: | ?????????? |
| ??????????: | Institut National de la Statistique (INSTAT), Cellule de Planification et de Statistique du Secteur Santé, Développement Social et Promotion de la Famille (CPS/SS-DS-PF) et ICF. 2025. Enquête Démographique et de Santé au Mali 2023–2024. Rapport Final. Bamako, Mali, et Rockville, Maryland, USA : INSTAT, CPS/SS-DSPF, et ICF. https://dhsprogram.com/publications/publication-FR394-DHS-Final-Reports.cfm [Accessed 03.10.25] |
| ?????????: | Excludes pregnant women and women who gave birth within the previous 2 months |
| ????? ??? ?? ? ???????? ?????, ???????????? ????? ?? ?????? ?? ??? ????? 25kg ? 29,9kg/m, ?????????????? ?? ?????? ?? ???, ??-????? ?? 30kg/m. | |
????, 2018
| ??? ??????: | ???????? |
| ???????: | 15-49 |
| ?????????? ?? ???????: | 4357 |
| ????????? ????: | ?????????? |
| ??????????: | Institut National de la Statistique - INSTAT, Cellule de Planification et de Statistique Secteur Santé-Développement Social et Promotion de la Famille CPS/SS-DS-PF et ICF. 2019. Enquête Démographique et de Santé au Mali 2018.Bamako, Mali et Rockville, Maryland, USA : INSTAT, CPS/SS-DS-PF et ICF. Available at https://www.dhsprogram.com/pubs/pdf/FR358/FR358.pdf last accessed 03.08.2022 |
| ?????????: | Excludes pregnant women and women who gave birth within the previous 2 months |
| ????? ??? ?? ? ???????? ?????, ???????????? ????? ?? ?????? ?? ??? ????? 25kg ? 29,9kg/m, ?????????????? ?? ?????? ?? ???, ??-????? ?? 30kg/m. | |
????, 2012-2013
| ??? ??????: | ???????? |
| ???????: | 15-49 |
| ?????????? ?? ???????: | 4502 |
| ????????? ????: | ?????????? |
| ??????????: | Cellule de Planification et de Statistique (CPS/SSDSPF), Institut National de la Statistique (INSTAT/MPATP), INFO-STAT et ICF International, 2014. Enquête Démographique et de Santé au Mali 2012-2013. Rockville, Maryland, USA : CPS, INSTAT, INFO-STAT et ICF International. |
| ?????????: | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
| ????? ??? ?? ? ???????? ?????, ???????????? ????? ?? ?????? ?? ??? ????? 25kg ? 29,9kg/m, ?????????????? ?? ?????? ?? ???, ??-????? ?? 30kg/m. | |
????????, 2023-2024
| ??? ??????: | ???????? |
| ???????: | 15-19 |
| ?????????? ?? ???????: | 1,743 |
| ????????? ????: | ?????????? |
| ??????????: | Institut National de la Statistique (INSTAT), Cellule de Planification et de Statistique du Secteur Santé, Développement Social et Promotion de la Famille (CPS/SS-DS-PF) et ICF. 2025. Enquête Démographique et de Santé au Mali 2023–2024. Rapport Final. Bamako, Mali, et Rockville, Maryland, USA : INSTAT, CPS/SS-DSPF, et ICF. https://dhsprogram.com/publications/publication-FR394-DHS-Final-Reports.cfm [Accessed 03.10.25] |
| ?????????: | Excluding pregnant women and women who gave birth in the previous 2 months |
| Cutoffs: | WHO 2007 |
0-5 years, 2018
| ?????????? ?? ???????: | 9881 |
| ??????????: | DHS: Enquête Démographique et de Santé au Mali 2018. Bamako, Mali et Rockville, Maryland, USA : INSTAT, CPS/SS-DS-PF et ICF |
| ?????????: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| ???????????: | =>+2SD |
0-5 years, 2015
| ?????????? ?? ???????: | 15723 |
| ??????????: | MICS: Enquête par Grappes à Indicateurs Multiples au Mali (MICS-Mali), 2015, Résultats clés. Bamako, Mali, INSTAT |
| ?????????: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| ???????????: | =>+2SD |
0-5 years, 2009-2010
| ?????????? ?? ???????: | 22963 |
| ??????????: | MICS: Enquête par Grappes à Indicateurs Multiples 2009 - 2010, Rapport final, Bamako Mali, 2011 |
| ?????????: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| ???????????: | =>+2SD |
0-5 years, 2006
| ?????????? ?? ???????: | 12369 |
| ??????????: | DHS: Enquête démographique et de santé du Mali 2006. DHS. Calverton, Maryland, USA: CPS/DNSI et Macro International Inc., 2007 |
| ?????????: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| ???????????: | =>+2SD |
0-5 years, 2001
| ?????????? ?? ???????: | 10507 |
| ??????????: | DHS: Enquête démographique et de santé au Mali 2001. Demographic and Health Surveys. Calverton, Maryland, USA: CPS/MS, DNSI et ORC Macro, 2002 |
| ?????????: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| ???????????: | =>+2SD |
0-5 years, 1995-1996
| ?????????? ?? ???????: | 4777 |
| ??????????: | DHS: Enquête demographique et de santé Mali 1995-1996. Demographic and Health Surveys. Cellule de Planification et de Statistique. Bamako, Mali, 1996 |
| ?????????: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| ???????????: | =>+2SD |
?????????? ?????/???????????? ?? ???????
????, 2023-2024
| ??? ??????: | ???????? |
| ?????????? ?? ???????: | 5,757 |
| ????????? ????: | ?????????? |
| ??????????: | Institut National de la Statistique (INSTAT), Cellule de Planification et de Statistique du Secteur Santé, Développement Social et Promotion de la Famille (CPS/SS-DS-PF) et ICF. 2025. Enquête Démographique et de Santé au Mali 2023–2024. Rapport Final. Bamako, Mali, et Rockville, Maryland, USA : INSTAT, CPS/SS-DSPF, et ICF. https://dhsprogram.com/publications/publication-FR394-DHS-Final-Reports.cfm [Accessed 03.10.25] |
| ?????????: | Excludes pregnant women and women who gave birth within the previous 2 months |
| ????? ??? ?? ? ???????? ?????, ???????????? ????? ?? ?????? ?? ??? ????? 25kg ? 29,9kg/m, ?????????????? ?? ?????? ?? ???, ??-????? ?? 30kg/m. | |
????, 2018
| ??? ??????: | ???????? |
| ?????????? ?? ???????: | 4357 |
| ????????? ????: | ?????????? |
| ??????????: | Institut National de la Statistique - INSTAT, Cellule de Planification et de Statistique Secteur Santé-Développement Social et Promotion de la Famille CPS/SS-DS-PF et ICF. 2019. Enquête Démographique et de Santé au Mali 2018.Bamako, Mali et Rockville, Maryland, USA : INSTAT, CPS/SS-DS-PF et ICF. Available at https://www.dhsprogram.com/pubs/pdf/FR358/FR358.pdf [Last Accessed 25.11.25] |
| ?????????: | Excludes pregnant women and women who gave birth within the previous 2 months |
| ????? ??? ?? ? ???????? ?????, ???????????? ????? ?? ?????? ?? ??? ????? 25kg ? 29,9kg/m, ?????????????? ?? ?????? ?? ???, ??-????? ?? 30kg/m. | |
????, 1993
| ??? ??????: | ???????? |
| ?????????? ?? ???????: | 1146 |
| ????????? ????: | ?????????? |
| ??????????: | Ferro-Luzzi A, National Institute for Food and Nutrition Research, Rome, Italy. Unpublished data reanalysed 2001 |
| Cutoffs: | IOTF |
?????????? ?????/???????????? ?? ??????
????, 2023-2024
| ??? ??????: | ???????? |
| ???????: | 20-49 |
| ?????????? ?? ???????: | 5,757 |
| ????????? ????: | ?????????? |
| ??????????: | Institut National de la Statistique (INSTAT), Cellule de Planification et de Statistique du Secteur Santé, Développement Social et Promotion de la Famille (CPS/SS-DS-PF) et ICF. 2025. Enquête Démographique et de Santé au Mali 2023–2024. Rapport Final. Bamako, Mali, et Rockville, Maryland, USA : INSTAT, CPS/SS-DSPF, et ICF. https://dhsprogram.com/publications/publication-FR394-DHS-Final-Reports.cfm [Accessed 03.10.25] |
| ?????????: | Excludes pregnant women and women who gave birth within the previous 2 months |
| ????? ??? ?? ? ???????? ?????, ???????????? ????? ?? ?????? ?? ??? ????? 25kg ? 29,9kg/m, ?????????????? ?? ?????? ?? ???, ??-????? ?? 30kg/m. | |
????, 2018
| ??? ??????: | ???????? |
| ???????: | 15-49 |
| ?????????? ?? ???????: | 4357 |
| ????????? ????: | ?????????? |
| ??????????: | Institut National de la Statistique - INSTAT, Cellule de Planification et de Statistique Secteur Santé-Développement Social et Promotion de la Famille CPS/SS-DS-PF et ICF. 2019. Enquête Démographique et de Santé au Mali 2018.Bamako, Mali et Rockville, Maryland, USA : INSTAT, CPS/SS-DS-PF et ICF. Available at https://www.dhsprogram.com/pubs/pdf/FR358/FR358.pdf [Last Accessed 25.11.25] |
| ?????????: | Excludes pregnant women and women who gave birth within the previous 2 months |
| ????? ??? ?? ? ???????? ?????, ???????????? ????? ?? ?????? ?? ??? ????? 25kg ? 29,9kg/m, ?????????????? ?? ?????? ?? ???, ??-????? ?? 30kg/m. | |
????, 2018
| ??? ??????: | ???????? |
| ???????: | 15-49 |
| ?????????? ?? ???????: | 4357 |
| ????????? ????: | ?????????? |
| ??????????: | Institut National de la Statistique - INSTAT, Cellule de Planification et de Statistique Secteur Santé-Développement Social et Promotion de la Famille CPS/SS-DS-PF et ICF. 2019. Enquête Démographique et de Santé au Mali 2018.Bamako, Mali et Rockville, Maryland, USA : INSTAT, CPS/SS-DS-PF et ICF. Available at https://www.dhsprogram.com/pubs/pdf/FR358/FR358.pdf [Last Accessed 25.11.25] |
| ?????????: | Excludes pregnant women and women who gave birth within the previous 2 months |
| ????? ??? ?? ? ???????? ?????, ???????????? ????? ?? ?????? ?? ??? ????? 25kg ? 29,9kg/m, ?????????????? ?? ?????? ?? ???, ??-????? ?? 30kg/m. | |
????????, 2023-2024
| ??? ??????: | ???????? |
| ???????: | 15-19 |
| ?????????? ?? ???????: | 1,743 |
| ????????? ????: | ?????????? |
| ??????????: | Institut National de la Statistique (INSTAT), Cellule de Planification et de Statistique du Secteur Santé, Développement Social et Promotion de la Famille (CPS/SS-DS-PF) et ICF. 2025. Enquête Démographique et de Santé au Mali 2023–2024. Rapport Final. Bamako, Mali, et Rockville, Maryland, USA : INSTAT, CPS/SS-DSPF, et ICF. https://dhsprogram.com/publications/publication-FR394-DHS-Final-Reports.cfm [Accessed 03.10.25] |
| ?????????: | Excluding pregnant women and women who gave birth in the previous 2 months |
| Cutoffs: | WHO 2007 |
0-5 years, 2021
| ?????????? ?? ???????: | 8005 |
| ??????????: | SMART: Rapport Finale de l'Enquete Nutritionnelle Anthropometrique et de Mortality Retrospective 11e Edition au Mali |
| ?????????: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| ???????????: | =>+2SD |
0-5 years, 2020
| ?????????? ?? ???????: | 8837 |
| ??????????: | SMART: 10ème Enquête Nutritionnelle Anthropométrique et de Mortalité Rétrospective basée sur la méthodologie SMART au Mali (SMART-2020 Mali) |
| ?????????: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| ???????????: | =>+2SD |
0-5 years, 2018
| ?????????? ?? ???????: | 9881 |
| ??????????: | DHS: Enquête Démographique et de Santé au Mali 2018. Bamako, Mali et Rockville, Maryland, USA : INSTAT, CPS/SS-DS-PF et ICF |
| ?????????: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| ???????????: | =>+2SD |
0-5 years, 2015
| ?????????? ?? ???????: | 15723 |
| ??????????: | MICS: Enquête par Grappes à Indicateurs Multiples au Mali (MICS-Mali), 2015, Résultats clés. Bamako, Mali, INSTAT |
| ?????????: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| ???????????: | =>+2SD |
0-5 years, 2009-2010
| ?????????? ?? ???????: | 22963 |
| ??????????: | MICS: Enquête par Grappes à Indicateurs Multiples 2009 - 2010, Rapport final, Bamako Mali, 2011 |
| ?????????: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| ???????????: | =>+2SD |
0-5 years, 2006
| ?????????? ?? ???????: | 12369 |
| ??????????: | DHS: Enquête démographique et de santé du Mali 2006. DHS. Calverton, Maryland, USA: CPS/DNSI et Macro International Inc., 2007 |
| ?????????: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| ???????????: | =>+2SD |
0-5 years, 2001
| ?????????? ?? ???????: | 10507 |
| ??????????: | DHS: Enquête démographique et de santé au Mali 2001. Demographic and Health Surveys. Calverton, Maryland, USA: CPS/MS, DNSI et ORC Macro, 2002 |
| ?????????: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| ???????????: | =>+2SD |
0-5 years, 1995-1996
| ?????????? ?? ???????: | 4777 |
| ??????????: | DHS: Enquête demographique et de santé Mali 1995-1996. Demographic and Health Surveys. Cellule de Planification et de Statistique. Bamako, Mali, 1996 |
| ?????????: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| ???????????: | =>+2SD |
0-5 years, 1987
| ?????????? ?? ???????: | 1541 |
| ??????????: | DHS: Enquête démographique et de santé au Mali, 1987. Demographic and Health Surveys. Bamako, Mali, 1989 |
| ?????????: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| ???????????: | =>+2SD |
?????????? ?????/???????????? ?? ????????-???????????? ?????
????, 2023-2024
| ??? ??????: | ???????? |
| ???????: | 20-49 |
| ?????????? ?? ???????: | 5,757 |
| ????????? ????: | ?????????? |
| ??????????: | Institut National de la Statistique (INSTAT), Cellule de Planification et de Statistique du Secteur Santé, Développement Social et Promotion de la Famille (CPS/SS-DS-PF) et ICF. 2025. Enquête Démographique et de Santé au Mali 2023–2024. Rapport Final. Bamako, Mali, et Rockville, Maryland, USA : INSTAT, CPS/SS-DSPF, et ICF. https://dhsprogram.com/publications/publication-FR394-DHS-Final-Reports.cfm [Accessed 03.10.25] |
| ?????????: | Excludes pregnant women and women who gave birth within the previous 2 months |
| ???????????: | Household economic wellbeing quintile |
| ????? ??? ?? ? ???????? ?????, ???????????? ????? ?? ?????? ?? ??? ????? 25kg ? 29,9kg/m, ?????????????? ?? ?????? ?? ???, ??-????? ?? 30kg/m. | |
????, 2018
| ??? ??????: | ???????? |
| ???????: | 15-49 |
| ?????????? ?? ???????: | 4357 |
| ????????? ????: | ?????????? |
| ??????????: | Institut National de la Statistique - INSTAT, Cellule de Planification et de Statistique Secteur Santé-Développement Social et Promotion de la Famille CPS/SS-DS-PF et ICF. 2019. Enquête Démographique et de Santé au Mali 2018.Bamako, Mali et Rockville, Maryland, USA : INSTAT, CPS/SS-DS-PF et ICF. Available at https://www.dhsprogram.com/pubs/pdf/FR358/FR358.pdf last accessed 03.08.2022 |
| ?????????: | Excludes pregnant women and women who gave birth within the previous 2 months |
| ????? ??? ?? ? ???????? ?????, ???????????? ????? ?? ?????? ?? ??? ????? 25kg ? 29,9kg/m, ?????????????? ?? ?????? ?? ???, ??-????? ?? 30kg/m. | |
????, 2012-2013
| ??? ??????: | ???????? |
| ???????: | 15-49 |
| ?????????? ?? ???????: | 4502 |
| ????????? ????: | ?????????? |
| ??????????: | Cellule de Planification et de Statistique - CPS/SSDSPF/Mali, Institut National de la Statistique - INSTAT/Mali, Centre d’Études et d’Information Statistiques - INFO-STAT/Mali and ICF International, 2014. Enquête Démographique et de Santé au Mali 2012-2013. Rockville, Maryland, USA: CPS, INSTAT, INFO-STAT and ICF International. |
| ?????????: | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
| ????? ??? ?? ? ???????? ?????, ???????????? ????? ?? ?????? ?? ??? ????? 25kg ? 29,9kg/m, ?????????????? ?? ?????? ?? ???, ??-????? ?? 30kg/m. | |
????????, 2023-2024
| ??? ??????: | ???????? |
| ???????: | 15-19 |
| ?????????? ?? ???????: | 1,743 |
| ????????? ????: | ?????????? |
| ??????????: | Institut National de la Statistique (INSTAT), Cellule de Planification et de Statistique du Secteur Santé, Développement Social et Promotion de la Famille (CPS/SS-DS-PF) et ICF. 2025. Enquête Démographique et de Santé au Mali 2023–2024. Rapport Final. Bamako, Mali, et Rockville, Maryland, USA : INSTAT, CPS/SS-DSPF, et ICF. https://dhsprogram.com/publications/publication-FR394-DHS-Final-Reports.cfm [Accessed 03.10.25] |
| ?????????: | Excluding pregnant women and women who gave birth in the previous 2 months |
| Cutoffs: | WHO 2007 |
0-5 years, 2018
| ?????????? ?? ???????: | 9881 |
| ??????????: | DHS: Enquête Démographique et de Santé au Mali 2018. Bamako, Mali et Rockville, Maryland, USA : INSTAT, CPS/SS-DS-PF et ICF |
| ?????????: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| ???????????: | =>+2SD |
0-5 years, 2015
| ?????????? ?? ???????: | 15723 |
| ??????????: | MICS: Enquête par Grappes à Indicateurs Multiples au Mali (MICS-Mali), 2015, Résultats clés. Bamako, Mali, INSTAT |
| ?????????: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| ???????????: | =>+2SD |
0-5 years, 2009-2010
| ?????????? ?? ???????: | 22963 |
| ??????????: | MICS: Enquête par Grappes à Indicateurs Multiples 2009 - 2010, Rapport final, Bamako Mali, 2011 |
| ?????????: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| ???????????: | =>+2SD |
0-5 years, 2006
| ?????????? ?? ???????: | 12369 |
| ??????????: | DHS: Enquête démographique et de santé du Mali 2006. DHS. Calverton, Maryland, USA: CPS/DNSI et Macro International Inc., 2007 |
| ?????????: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| ???????????: | =>+2SD |
0-5 years, 2001
| ?????????? ?? ???????: | 10507 |
| ??????????: | DHS: Enquête démographique et de santé au Mali 2001. Demographic and Health Surveys. Calverton, Maryland, USA: CPS/MS, DNSI et ORC Macro, 2002 |
| ?????????: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| ???????????: | =>+2SD |
0-5 years, 1995-1996
| ?????????? ?? ???????: | 4777 |
| ??????????: | DHS: Enquête demographique et de santé Mali 1995-1996. Demographic and Health Surveys. Cellule de Planification et de Statistique. Bamako, Mali, 1996 |
| ?????????: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| ???????????: | =>+2SD |
Double burden of underweight & overweight
?????????, 2022
| ??? ??????: | ???????? |
| ???????: | 20+ |
| ??????????: | NCD Risk Factor Collaboration (NCD-RisC). Worldwide trends in underweight and obesity from 1990 to 2022: a pooled analysis of 3663 population representative studies with 222 million children, adolescents, and adults. Lancet 2024; published online Feb 29. https://doi.org/10.1016/S0140-6736(23)02750-2. |
| ?????????: | Age Standardised estimates |
| ???????????: | Combined prevalence of BMI<18.5 kg/m² and BMI>=30 kg/m² (double burden of underweight and obesity) |
????, 2022
| ??? ??????: | ???????? |
| ???????: | 5-19 |
| ??????????: | NCD Risk Factor Collaboration (NCD-RisC). Worldwide trends in underweight and obesity from 1990 to 2022: a pooled analysis of 3663 population representative studies with 222 million children, adolescents, and adults. Lancet 2024; published online Feb 29. https://doi.org/10.1016/S0140-6736(23)02750-2. |
| ?????????: | Age standardised estimates |
| ???????????: | Combined prevalence of BMI < -2SD and BMI > 2SD (double burden of thinness and obesity) |
| Cutoffs: | BMI < -2SD and BMI > 2SD |
0-5 years, 2022
| ??? ??????: | ???????? |
| ???????: | 0-5 |
| ??????????: | United Nations Children’s Fund, Division of Data, Analysis, Planning and Monitoring (2025). Global UNICEF Global Databases: Overlapping Stunting, Wasting and Overweight (Survey Estimates), 2025, New York. For more information, visit: https://data.unicef.org/topic/nutrition/malnutrition/ [Accessed 06.08.25] |
| ?????????: | ENQUÊTE NUTRITIONNELLE ANTHROPOMETRIQUE ET DE MORTALITE RETROSPECTIVE EN SEPTEMBRE 2022 12 E EDITION AU MALI |
| ???????????: | Combined percentage of children under 5 years of age who are either wasted, stunted, or overweight (falling below -2 standard deviations from the median weight-for-height, falling below -2 standard deviations from the median height for age, or falling at or above +2 standard deviations from the median weight-for-height of the reference population) |
| Cutoffs: | WHZ <-2, HAZ <-2 and WHZ >+2 |
0-5 years, 2021
| ??? ??????: | ???????? |
| ???????: | 0-5 |
| ??????????: | United Nations Children’s Fund, Division of Data, Analysis, Planning and Monitoring (2025). Global UNICEF Global Databases: Overlapping Stunting, Wasting and Overweight (Survey Estimates), 2025, New York. For more information, visit: https://data.unicef.org/topic/nutrition/malnutrition/ [Accessed 06.08.25] |
| ?????????: | Rapport Finale de l'Enquete Nutritionnelle Anthropometrique et de Mortality Retrospective 11e Edition au Mali |
| ???????????: | Combined percentage of children under 5 years of age who are either wasted, stunted, or overweight (falling below -2 standard deviations from the median weight-for-height, falling below -2 standard deviations from the median height for age, or falling at or above +2 standard deviations from the median weight-for-height of the reference population) |
| Cutoffs: | WHZ <-2, HAZ <-2 and WHZ >+2 |
0-5 years, 2020
| ??? ??????: | ???????? |
| ???????: | 0-5 |
| ??????????: | United Nations Children’s Fund, Division of Data, Analysis, Planning and Monitoring (2025). Global UNICEF Global Databases: Overlapping Stunting, Wasting and Overweight (Survey Estimates), 2025, New York. For more information, visit: https://data.unicef.org/topic/nutrition/malnutrition/ [Accessed 06.08.25] |
| ?????????: | 10ème Enquête Nutritionnelle Anthropométrique et de Mortalité Rétrospective basée sur la méthodologie SMART au Mali (SMART-2020 Mali) |
| ???????????: | Combined percentage of children under 5 years of age who are either wasted, stunted, or overweight (falling below -2 standard deviations from the median weight-for-height, falling below -2 standard deviations from the median height for age, or falling at or above +2 standard deviations from the median weight-for-height of the reference population) |
| Cutoffs: | WHZ <-2, HAZ <-2 and WHZ >+2 |
0-5 years, 2019
| ??? ??????: | ???????? |
| ???????: | 0-5 |
| ??????????: | United Nations Children’s Fund, Division of Data, Analysis, Planning and Monitoring (2025). Global UNICEF Global Databases: Overlapping Stunting, Wasting and Overweight (Survey Estimates), 2025, New York. For more information, visit: https://data.unicef.org/topic/nutrition/malnutrition/ [Accessed 06.08.25] |
| ?????????: | Enquête Nationale Nutritionnelle Anthropométrique et de Mortalité rétrospective suivant la méthodologie SMART, Mali 2019 |
| ???????????: | Combined percentage of children under 5 years of age who are either wasted, stunted, or overweight (falling below -2 standard deviations from the median weight-for-height, falling below -2 standard deviations from the median height for age, or falling at or above +2 standard deviations from the median weight-for-height of the reference population) |
| Cutoffs: | WHZ <-2, HAZ <-2 and WHZ >+2 |
0-5 years, 2018
| ??? ??????: | ???????? |
| ???????: | 0-5 |
| ??????????: | United Nations Children’s Fund, Division of Data, Analysis, Planning and Monitoring (2025). Global UNICEF Global Databases: Overlapping Stunting, Wasting and Overweight (Survey Estimates), 2025, New York. For more information, visit: https://data.unicef.org/topic/nutrition/malnutrition/ [Accessed 06.08.25] |
| ?????????: | Enquête Nationale Nutritionnelle Anthropométrique et de Mortalité rétrospective suivant la méthodologie SMART, Mali 2018 |
| ???????????: | Combined percentage of children under 5 years of age who are either wasted, stunted, or overweight (falling below -2 standard deviations from the median weight-for-height, falling below -2 standard deviations from the median height for age, or falling at or above +2 standard deviations from the median weight-for-height of the reference population) |
| Cutoffs: | WHZ <-2, HAZ <-2 and WHZ >+2 |
0-5 years, 2017
| ??? ??????: | ???????? |
| ???????: | 0-5 |
| ??????????: | United Nations Children’s Fund, Division of Data, Analysis, Planning and Monitoring (2025). Global UNICEF Global Databases: Overlapping Stunting, Wasting and Overweight (Survey Estimates), 2025, New York. For more information, visit: https://data.unicef.org/topic/nutrition/malnutrition/ [Accessed 06.08.25] |
| ?????????: | Enquête Nationale Nutritionnelle Anthropométrique et de Mortalité rétrospective suivant la méthodologie SMART, Mali 2017 |
| ???????????: | Combined percentage of children under 5 years of age who are either wasted, stunted, or overweight (falling below -2 standard deviations from the median weight-for-height, falling below -2 standard deviations from the median height for age, or falling at or above +2 standard deviations from the median weight-for-height of the reference population) |
| Cutoffs: | WHZ <-2, HAZ <-2 and WHZ >+2 |
0-5 years, 2016
| ??? ??????: | ???????? |
| ???????: | 0-5 |
| ??????????: | United Nations Children’s Fund, Division of Data, Analysis, Planning and Monitoring (2025). Global UNICEF Global Databases: Overlapping Stunting, Wasting and Overweight (Survey Estimates), 2025, New York. For more information, visit: https://data.unicef.org/topic/nutrition/malnutrition/ [Accessed 06.08.25] |
| ?????????: | Enquête Nutritionnelle et de Mortalité Rétrospective, Mali, 2016 |
| ???????????: | Combined percentage of children under 5 years of age who are either wasted, stunted, or overweight (falling below -2 standard deviations from the median weight-for-height, falling below -2 standard deviations from the median height for age, or falling at or above +2 standard deviations from the median weight-for-height of the reference population) |
| Cutoffs: | WHZ <-2, HAZ <-2 and WHZ >+2 |
0-5 years, 2015
| ??? ??????: | ???????? |
| ???????: | 0-5 |
| ??????????: | United Nations Children’s Fund, Division of Data, Analysis, Planning and Monitoring (2025). Global UNICEF Global Databases: Overlapping Stunting, Wasting and Overweight (Survey Estimates), 2025, New York. For more information, visit: https://data.unicef.org/topic/nutrition/malnutrition/ [Accessed 06.08.25] |
| ?????????: | Enquête Nutritionnelle Anthropométrique et de Mortalité rétrospective, Mali 2015 |
| ???????????: | Combined percentage of children under 5 years of age who are either wasted, stunted, or overweight (falling below -2 standard deviations from the median weight-for-height, falling below -2 standard deviations from the median height for age, or falling at or above +2 standard deviations from the median weight-for-height of the reference population) |
| Cutoffs: | WHZ <-2, HAZ <-2 and WHZ >+2 |
0-5 years, 2014
| ??? ??????: | ???????? |
| ???????: | 0-5 |
| ??????????: | United Nations Children’s Fund, Division of Data, Analysis, Planning and Monitoring (2025). Global UNICEF Global Databases: Overlapping Stunting, Wasting and Overweight (Survey Estimates), 2025, New York. For more information, visit: https://data.unicef.org/topic/nutrition/malnutrition/ [Accessed 06.08.25] |
| ?????????: | Enquête Nutritionnelle et de Mortalité, Rétrospective, Mali, 2014 |
| ???????????: | Combined percentage of children under 5 years of age who are either wasted, stunted, or overweight (falling below -2 standard deviations from the median weight-for-height, falling below -2 standard deviations from the median height for age, or falling at or above +2 standard deviations from the median weight-for-height of the reference population) |
| Cutoffs: | WHZ <-2, HAZ <-2 and WHZ >+2 |
0-5 years, 2011
| ??? ??????: | ???????? |
| ???????: | 0-5 |
| ??????????: | United Nations Children’s Fund, Division of Data, Analysis, Planning and Monitoring (2025). Global UNICEF Global Databases: Overlapping Stunting, Wasting and Overweight (Survey Estimates), 2025, New York. For more information, visit: https://data.unicef.org/topic/nutrition/malnutrition/ [Accessed 06.08.25] |
| ?????????: | Enquête Nationale Nutritionnelle Anthropométrique et de Mortalité Rétrospective, Mali 2011 |
| ???????????: | Combined percentage of children under 5 years of age who are either wasted, stunted, or overweight (falling below -2 standard deviations from the median weight-for-height, falling below -2 standard deviations from the median height for age, or falling at or above +2 standard deviations from the median weight-for-height of the reference population) |
| Cutoffs: | WHZ <-2, HAZ <-2 and WHZ >+2 |
0-5 years, 2009-2010
| ??? ??????: | ???????? |
| ???????: | 0-5 |
| ??????????: | United Nations Children’s Fund, Division of Data, Analysis, Planning and Monitoring (2025). Global UNICEF Global Databases: Overlapping Stunting, Wasting and Overweight (Survey Estimates), 2025, New York. For more information, visit: https://data.unicef.org/topic/nutrition/malnutrition/ [Accessed 06.08.25] |
| ?????????: | Enquête par Grappes à Indicateurs Multiples 2009 - 2010, Rapport final, Bamako Mali, 2011 |
| ???????????: | Combined percentage of children under 5 years of age who are either wasted, stunted, or overweight (falling below -2 standard deviations from the median weight-for-height, falling below -2 standard deviations from the median height for age, or falling at or above +2 standard deviations from the median weight-for-height of the reference population) |
| Cutoffs: | WHZ <-2, HAZ <-2 and WHZ >+2 |
0-5 years, 2006
| ??? ??????: | ???????? |
| ???????: | 0-5 |
| ??????????: | United Nations Children’s Fund, Division of Data, Analysis, Planning and Monitoring (2025). Global UNICEF Global Databases: Overlapping Stunting, Wasting and Overweight (Survey Estimates), 2025, New York. For more information, visit: https://data.unicef.org/topic/nutrition/malnutrition/ [Accessed 06.08.25] |
| ?????????: | Enquête démographique et de santé du Mali 2006. DHS. Calverton, Maryland, USA: CPS/DNSI et Macro International Inc., 2007 |
| ???????????: | Combined percentage of children under 5 years of age who are either wasted, stunted, or overweight (falling below -2 standard deviations from the median weight-for-height, falling below -2 standard deviations from the median height for age, or falling at or above +2 standard deviations from the median weight-for-height of the reference population) |
| Cutoffs: | WHZ <-2, HAZ <-2 and WHZ >+2 |
0-5 years, 2001
| ??? ??????: | ???????? |
| ???????: | 0-5 |
| ??????????: | United Nations Children’s Fund, Division of Data, Analysis, Planning and Monitoring (2025). Global UNICEF Global Databases: Overlapping Stunting, Wasting and Overweight (Survey Estimates), 2025, New York. For more information, visit: https://data.unicef.org/topic/nutrition/malnutrition/ [Accessed 06.08.25] |
| ?????????: | Enquête démographique et de santé au Mali 2001. Demographic and Health Surveys. Calverton, Maryland, USA: CPS/MS, DNSI et ORC Macro, 2002 |
| ???????????: | Combined percentage of children under 5 years of age who are either wasted, stunted, or overweight (falling below -2 standard deviations from the median weight-for-height, falling below -2 standard deviations from the median height for age, or falling at or above +2 standard deviations from the median weight-for-height of the reference population) |
| Cutoffs: | WHZ <-2, HAZ <-2 and WHZ >+2 |
0-5 years, 1995-1996
| ??? ??????: | ???????? |
| ???????: | 0-5 |
| ??????????: | United Nations Children’s Fund, Division of Data, Analysis, Planning and Monitoring (2025). Global UNICEF Global Databases: Overlapping Stunting, Wasting and Overweight (Survey Estimates), 2025, New York. For more information, visit: https://data.unicef.org/topic/nutrition/malnutrition/ [Accessed 06.08.25] |
| ?????????: | Enquête demographique et de santé Mali 1995-1996. Demographic and Health Surveys. Cellule de Planification et de Statistique. Bamako, Mali, 1996 |
| ???????????: | Combined percentage of children under 5 years of age who are either wasted, stunted, or overweight (falling below -2 standard deviations from the median weight-for-height, falling below -2 standard deviations from the median height for age, or falling at or above +2 standard deviations from the median weight-for-height of the reference population) |
| Cutoffs: | WHZ <-2, HAZ <-2 and WHZ >+2 |
0-5 years, 1987
| ??? ??????: | ???????? |
| ???????: | 0-5 |
| ??????????: | United Nations Children’s Fund, Division of Data, Analysis, Planning and Monitoring (2025). Global UNICEF Global Databases: Overlapping Stunting, Wasting and Overweight (Survey Estimates), 2025, New York. For more information, visit: https://data.unicef.org/topic/nutrition/malnutrition/ [Accessed 06.08.25] |
| ?????????: | Enquête démographique et de santé au Mali, 1987. Demographic and Health Surveys. Bamako, Mali, 1989 |
| ???????????: | Combined percentage of children under 5 years of age who are either wasted, stunted, or overweight (falling below -2 standard deviations from the median weight-for-height, falling below -2 standard deviations from the median height for age, or falling at or above +2 standard deviations from the median weight-for-height of the reference population) |
| Cutoffs: | WHZ <-2, HAZ <-2 and WHZ >+2 |
???????????? ????????? ?????????
?????????, 2022
| ??? ??????: | ???????????? |
| ???????: | 18+ |
| ????????? ????: | ?????????? |
| ??????????: | WHO (2024). Prevalence of insufficient physical activity among adults aged 18-years age-standardized estimate in 2022. Available at https://www.who.int/data/gho/data/indicators/indicator-details/GHO/prevalence-of-insufficient-physical-activity-among-adults-aged-18-years-(age-standardized-estimate)-(-) |
| ???????????: | Percent of population attaining less than 150 minutes of moderate-intensity physical activity per week, or less than 75 minutes of vigorous-intensity physical activity per week, or equivalent. |
????, 2022
| ??? ??????: | ???????????? |
| ???????: | 18+ |
| ????????? ????: | ?????????? |
| ??????????: | WHO (2024). Prevalence of insufficient physical activity among adults aged 18-years age-standardized estimate in 2022. Available at https://www.who.int/data/gho/data/indicators/indicator-details/GHO/prevalence-of-insufficient-physical-activity-among-adults-aged-18-years-(age-standardized-estimate)-(-) |
| ???????????: | Percent of population attaining less than 150 minutes of moderate-intensity physical activity per week, or less than 75 minutes of vigorous-intensity physical activity per week, or equivalent. |
????, 2022
| ??? ??????: | ???????????? |
| ???????: | 18+ |
| ????????? ????: | ?????????? |
| ??????????: | WHO (2024). Prevalence of insufficient physical activity among adults aged 18-years age-standardized estimate in 2022. Available at https://www.who.int/data/gho/data/indicators/indicator-details/GHO/prevalence-of-insufficient-physical-activity-among-adults-aged-18-years-(age-standardized-estimate)-(-) |
| ???????????: | Percent of population attaining less than 150 minutes of moderate-intensity physical activity per week, or less than 75 minutes of vigorous-intensity physical activity per week, or equivalent. |
?????????, 2016
| ??????????: | Guthold R, Stevens GA, Riley LM, Bull FC. Worldwide trends in insufficient physical activity from 2001 to 2016: a pooled analysis of 358 population-based surveys with 1.9 million participants. Lancet 2018 http://dx.doi.org/10.1016/S2214-109X(18)30357-7 |
????, 2016
| ??????????: | Guthold R, Stevens GA, Riley LM, Bull FC. Worldwide trends in insufficient physical activity from 2001 to 2016: a pooled analysis of 358 population-based surveys with 1.9 million participants. Lancet 2018 http://dx.doi.org/10.1016/S2214-109X(18)30357-7 |
????, 2016
| ??????????: | Guthold R, Stevens GA, Riley LM, Bull FC. Worldwide trends in insufficient physical activity from 2001 to 2016: a pooled analysis of 358 population-based surveys with 1.9 million participants. Lancet 2018 http://dx.doi.org/10.1016/S2214-109X(18)30357-7 |
Estimated per capita fruit intake
?????????, 2017
| ???????: | 25+ |
| ????????? ????: | ?????????? |
| ??????????: | Global Burden of Disease, the Institute for Health Metrics and Evaluation http://ghdx.healthdata.org/ |
| ???????????: | Estimated per capita fruit intake (g/day) |
Estimated per capita processed meat intake
?????????, 2017
| ???????: | 25+ |
| ????????? ????: | ?????????? |
| ??????????: | Global Burden of Disease, the Institute for Health Metrics and Evaluation http://ghdx.healthdata.org/ |
| ???????????: | Estimated per capita processed meat intake (g per day) |
Estimated per capita whole grains intake
?????????, 2017
| ??? ??????: | ???????? |
| ???????: | 25+ |
| ??????????: | Global Burden of Disease, the Institute for Health Metrics and Evaluation http://ghdx.healthdata.org/ |
| ???????????: | Estimated per-capita whole grains intake (g/day) |
???????? ?????? ?????????? ????????????
?????????, 2021
| ???????: | 20+ |
| ????????? ????: | ?????????? |
| ??????????: | Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25) |
| ???????????: | Number living with depression per 100,000 population (adults 20+ years) |
????, 2021
| ???????: | 20+ |
| ????????? ????: | ?????????? |
| ??????????: | Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25) |
| ???????????: | Number living with depression per 100,000 population (adults 20+ years) |
????, 2021
| ???????: | 20+ |
| ????????? ????: | ?????????? |
| ??????????: | Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25) |
| ???????????: | Number living with depression per 100,000 population (adults 20+ years) |
?????????, 2015
| ??????????: | Prevalence data from Global Burden of Disease study 2015 (http://ghdx.healthdata.org) published in: Depression and Other Common Mental Disorders: Global Health Estimates. Geneva:World Health Organization; 2017. Licence: CC BY-NC-SA 3.0 IGO. |
| ???????????: | % of population with depression disorders |
????, 2021
| ????????? ????: | ?????????? |
| ??????????: | Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25) |
| ???????????: | Number living with depressive disorder per 100,000 population (Under 20 years of age) |
???????, 2021
| ????????? ????: | ?????????? |
| ??????????: | Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25) |
| ???????????: | Number living with depressive disorder per 100,000 population (Under 20 years of age) |
????????, 2021
| ????????? ????: | ?????????? |
| ??????????: | Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25) |
| ???????????: | Number living with depressive disorder per 100,000 population (Under 20 years of age) |
???????? ?????? ???????? ????????????
?????????, 2021
| ???????: | 20+ |
| ??????????: | Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25). |
| ???????????: | Number living with anxiety per 100,000 population |
????, 2021
| ???????: | 20+ |
| ??????????: | Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25). |
| ???????????: | Number living with anxiety per 100,000 population |
????, 2021
| ???????: | 20+ |
| ??????????: | Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25). |
| ???????????: | Number living with anxiety per 100,000 population |
?????????, 2015
| ??????????: | Prevalence data from Global Burden of Disease study 2015 (http://ghdx.healthdata.org) published in: Depression and Other Common Mental Disorders: Global Health Estimates. Geneva:World Health Organization; 2017. Licence: CC BY-NC-SA 3.0 IGO. |
| ???????????: | % of population with anxiety disorders |
????, 2021
| ??????????: | Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25) |
???????, 2021
| ??????????: | Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25) |
????????, 2021
| ??????????: | Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25) |
% ??????, ??????? ???????????? ? ????? 0-5 ??????
0-5 years, 2010-2024
| ??????????: | Septième Enquête Démographique et de Santé au Mali 2023–2024 |
| ?????????: | Full details are available. Original citation: United Nations Children’s Fund, Division of Data, Analysis, Planning and Monitoring (2024). Global UNICEF Global Databases: Infant and Young Child Feeding: Exclusive breastfeeding, New York, December 2024. |
0-5 years, 2010-2024
| ??????????: | ENQUÊTE NUTRITIONNELLE ANTHROPOMETRIQUE ET DE MORTALITE RETROSPECTIVE EN SEPTEMBRE 2022 12 E EDITION AU MALI |
| ?????????: | Full details are available. Original citation United Nations Children’s Fund, Division of Data, Analysis, Planning and Monitoring (2023). Global UNICEF Global Databases: Infant and Young Child Feeding: Exclusive breastfeeding, New York, October 2023. |
Percent of population who cannot afford a healthy diet
?????????, 2024
| ????????? ????: | ?????????? |
| ??????????: | FAO. 2025. FAOSTAT: Cost and Affordability of a Healthy Diet (CoAHD). https://www.fao.org/faostat/en/#data/CAHD. Licence: CC-BY-4.0. [Last Accessed 15.10.25] |
| ?????????: | The percent of the population whose food budget is below the cost of a healthy diet. |
?????????, 2022
| ????????? ????: | ?????????? |
| ??????????: | The Food Systems Dashboard. The Global Alliance for Improved Nutrition (GAIN), The Columbia Climate School, and Cornell University College of Agriculture and Life Sciences. 2024. Geneva, Switzerland. https://www.foodsystemsdashboard.org. DOI: https://doi.org/10.36072/db. |
??? ?? ????????????
????, 2022
| ???????: | 20+ |
| ????????? ????: | ?????????? |
| ??????????: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| ???????????: | Indicence per 100,000 |
????, 2022
| ???????: | 20+ |
| ????????? ????: | ?????????? |
| ??????????: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| ???????????: | Indicence per 100,000 |
????, 2020
| ???????: | 20+ |
| ????????? ????: | ?????????? |
| ??????????: | Ferlay J, Ervik M, Lam F, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2020). Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.fr/today, accessed 10.01.2235 |
| ???????????: | Age-standardized indicence rates per 100 000 |
????, 2020
| ???????: | 20+ |
| ????????? ????: | ?????????? |
| ??????????: | Ferlay J, Ervik M, Lam F, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2020). Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.fr/today, accessed 10.01.2235 |
| ???????????: | Age-standardized indicence rates per 100 000 |
??? ?? ???????
????, 2022
| ????????? ????: | ?????????? |
| ??????????: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| ???????????: | Incidence per 100,000 |
???????????? ???
????, 2022
| ???????: | 20+ |
| ????????? ????: | ?????????? |
| ??????????: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| ???????????: | Incidence per 100,000 |
????, 2022
| ???????: | 20+ |
| ????????? ????: | ?????????? |
| ??????????: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| ???????????: | Incidence per 100,000 |
????, 2020
| ???????: | 20+ |
| ????????? ????: | ?????????? |
| ??????????: | Ferlay J, Ervik M, Lam F, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2020). Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.fr/today, accessed 10.01.2235 |
| ???????????: | Age-standardized indicence rates per 100 000 |
????, 2020
| ???????: | 20+ |
| ????????? ????: | ?????????? |
| ??????????: | Ferlay J, Ervik M, Lam F, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2020). Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.fr/today, accessed 10.01.2235 |
| ???????????: | Age-standardized indicence rates per 100 000 |
??? ?? ?????????
????, 2022
| ???????: | 20+ |
| ????????? ????: | ?????????? |
| ??????????: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| ???????????: | Incidence per 100,000 |
????, 2022
| ???????: | 20+ |
| ????????? ????: | ?????????? |
| ??????????: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| ???????????: | Incidence per 100,000 |
????, 2020
| ???????: | 20+ |
| ????????? ????: | ?????????? |
| ??????????: | Ferlay J, Ervik M, Lam F, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2020). Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.fr/today, accessed 10.01.2235 |
| ???????????: | Age-standardized indicence rates per 100 000 |
????, 2020
| ???????: | 20+ |
| ????????? ????: | ?????????? |
| ??????????: | Ferlay J, Ervik M, Lam F, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2020). Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.fr/today, accessed 10.01.2235 |
| ???????????: | Age-standardized indicence rates per 100 000 |
??? ?? ??????? ?????
????, 2022
| ???????: | 20+ |
| ????????? ????: | ?????????? |
| ??????????: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| ???????????: | Indicence per 100,000 |
????, 2022
| ???????: | 20+ |
| ????????? ????: | ?????????? |
| ??????????: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| ???????????: | Indicence per 100,000 |
????, 2020
| ???????: | 20+ |
| ????????? ????: | ?????????? |
| ??????????: | Ferlay J, Ervik M, Lam F, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2020). Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.fr/today, accessed 10.01.2235 |
| ???????????: | Age-standardized indicence rates per 100 000 |
????, 2020
| ???????: | 20+ |
| ????????? ????: | ?????????? |
| ??????????: | Ferlay J, Ervik M, Lam F, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2020). Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.fr/today, accessed 10.01.2235 |
| ???????????: | Age-standardized indicence rates per 100 000 |
??? ?? ?????????
????, 2022
| ???????: | 20+ |
| ????????? ????: | ?????????? |
| ??????????: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| ???????????: | Incidence per 100,000 |
????, 2022
| ???????: | 20+ |
| ????????? ????: | ?????????? |
| ??????????: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| ???????????: | Incidence per 100,000 |
????, 2020
| ???????: | 20+ |
| ????????? ????: | ?????????? |
| ??????????: | Ferlay J, Ervik M, Lam F, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2020). Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.fr/today, accessed 10.01.2235 |
| ???????????: | Age-standardized indicence rates per 100 000 |
????, 2020
| ???????: | 20+ |
| ????????? ????: | ?????????? |
| ??????????: | Ferlay J, Ervik M, Lam F, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2020). Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.fr/today, accessed 10.01.2235 |
| ???????????: | Age-standardized indicence rates per 100 000 |
??? ?? ???????
????, 2022
| ???????: | 20+ |
| ??????????: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| ???????????: | Incidence per 100,000 |
????, 2020
| ???????: | 20+ |
| ????????? ????: | ?????????? |
| ??????????: | Ferlay J, Ervik M, Lam F, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2020). Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.fr/today, accessed 10.01.2235 |
| ???????????: | Age-standardized indicence rates per 100 000 |
???????? ?????? ????????
?????????, 2015
| ??????????: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A875?lang=en |
| ???????????: | Age Standardised estimated % Raised blood pressure 2015 (SBP>=140 OR DBP>=90). |
????, 2015
| ??????????: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A875?lang=en |
| ???????????: | Age Standardised estimated % Raised blood pressure 2015 (SBP>=140 OR DBP>=90). |
????, 2015
| ??????????: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A875?lang=en |
| ???????????: | Age Standardised estimated % Raised blood pressure 2015 (SBP>=140 OR DBP>=90). |
??????? ??????????
?????????, 2008
| ??????????: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A885 |
| ???????????: | % Raised total cholesterol (>= 5.0 mmol/L) (age-standardized estimate). |
????, 2008
| ??????????: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A885 |
| ???????????: | % Raised total cholesterol (>= 5.0 mmol/L) (age-standardized estimate). |
????, 2008
| ??????????: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A885 |
| ???????????: | % Raised total cholesterol (>= 5.0 mmol/L) (age-standardized estimate). |
???????? ?????? ????? ?? ??????
????, 2014
| ??????????: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A869?lang=en |
| ???????????: | Age Standardised % raised fasting blood glucose (>= 7.0 mmol/L or on medication). |
????, 2014
| ??????????: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A869?lang=en |
| ???????????: | Age Standardised % raised fasting blood glucose (>= 7.0 mmol/L or on medication). |
????????????? ?? ???????
?????????, 2024
| ??????????: | Reproduced with kind permission International Diabetes Federation. IDF Diabetes Atlas, 11th edn. Brussels, Belgium:International Diabetes Federation, 2025. http://www.diabetesatlas.org |
?????????, 2021
| ???????: | 20-79 |
| ????????? ????: | ?????????? |
| ??????????: | Reproduced with kind permission International Diabetes Federation. IDF Diabetes Atlas, 10th edn. Brussels, Belgium:International Diabetes Federation, 2021. http://www.diabetesatlas.org |
| ???????????: | Age-adjusted comparative prevalence of diabetes, % |
?????????, 2019
| ???????: | 20-79 |
| ??????????: | Reproduced with kind permission International Diabetes Federation. IDF Diabetes Atlas, 9th edn. Brussels,Belgium: 2019. Available at: https://www.diabetesatlas.org |
| ???????????: | Diabetes age-adjusted comparative prevalence (%). |
?????????, 2017
| ??????????: | Reproduced with kind permission of IDF, International Diabetes Federation. IDF Diabetes Atlas, 8th edition. Brussels, Belgium: International Diabetes Federation, 2017. http://www.diabetesatlas.org |
| ???????????: | Diabetes age-adjusted comparative prevalence (%). |
Ovarian Cancer
????, 2022
| ???????: | 20+ |
| ??????????: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| ???????????: | Incidence per 100,000 |
Leukemia
????, 2022
| ???????: | 20+ |
| ????????? ????: | ?????????? |
| ??????????: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| ???????????: | Incidence per 100,000 |
| ????? ??? ?? ? ???????? ?????, ???????????? ????? ?? ?????? ?? ??? ????? 25kg ? 29,9kg/m, ?????????????? ?? ?????? ?? ???, ??-????? ?? 30kg/m. | |
????, 2022
| ???????: | 20+ |
| ????????? ????: | ?????????? |
| ??????????: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| ???????????: | Incidence per 100,000 |
| ????? ??? ?? ? ???????? ?????, ???????????? ????? ?? ?????? ?? ??? ????? 25kg ? 29,9kg/m, ?????????????? ?? ?????? ?? ???, ??-????? ?? 30kg/m. | |
Liver and intrahepatic bile duct Cancer
????, 2022
| ???????: | 20+ |
| ????????? ????: | ?????????? |
| ??????????: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| ???????????: | Incidence per 100,000 |
????, 2022
| ???????: | 20+ |
| ????????? ????: | ?????????? |
| ??????????: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| ???????????: | Incidence per 100,000 |
Multiple Myeloma
????, 2022
| ???????: | 20+ |
| ????????? ????: | ?????????? |
| ??????????: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| ???????????: | Indicence per 100,000 |
| ????? ??? ?? ? ???????? ?????, ???????????? ????? ?? ?????? ?? ??? ????? 25kg ? 29,9kg/m, ?????????????? ?? ?????? ?? ???, ??-????? ?? 30kg/m. | |
????, 2022
| ???????: | 20+ |
| ????????? ????: | ?????????? |
| ??????????: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| ???????????: | Indicence per 100,000 |
| ????? ??? ?? ? ???????? ?????, ???????????? ????? ?? ?????? ?? ??? ????? 25kg ? 29,9kg/m, ?????????????? ?? ?????? ?? ???, ??-????? ?? 30kg/m. | |
Non Hodgkin Lymphoma
????, 2022
| ???????: | 20+ |
| ????????? ????: | ?????????? |
| ??????????: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| ???????????: | Incidence per 100,000 |
| ????? ??? ?? ? ???????? ?????, ???????????? ????? ?? ?????? ?? ??? ????? 25kg ? 29,9kg/m, ?????????????? ?? ?????? ?? ???, ??-????? ?? 30kg/m. | |
????, 2022
| ???????: | 20+ |
| ????????? ????: | ?????????? |
| ??????????: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| ???????????: | Incidence per 100,000 |
| ????? ??? ?? ? ???????? ?????, ???????????? ????? ?? ?????? ?? ??? ????? 25kg ? 29,9kg/m, ?????????????? ?? ?????? ?? ???, ??-????? ?? 30kg/m. | |
Thyroid Cancer
????, 2022
| ???????: | 20+ |
| ????????? ????: | ?????????? |
| ??????????: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| ???????????: | Incidence per 100,000 |
????, 2022
| ???????: | 20+ |
| ????????? ????: | ?????????? |
| ??????????: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| ???????????: | Incidence per 100,000 |
Economic impact of overweight and obesity
Policies, Interventions and Actions
Contextual factors
Disclaimer: These contextual factors should be interpreted with care. Results are updated as regularly as possible and use very specific criteria. The criteria used and full definitions are available for download at the bottom of this page.
Tap on a tick to find out more about policies influencing this factor.
Labelling
| Is there mandatory nutrition labelling? | Absent |
| Front-of-package labelling? | Absent |
| Back-of-pack nutrition declaration? | Absent |
| Color coding? | Absent |
| Warning label? | Absent |
Regulation and marketing
| Are there fiscal policies on unhealthy products? | Absent |
| Tax on unhealthy foods? | Absent |
| Tax on unhealthy drinks? | Absent |
| Are there fiscal policies on healthy products? | Absent |
| Subsidy on fruits? | Absent |
| Subsidy on vegetables? | Absent |
| Subsidy on other healthy products? | Absent |
| Mandatory limit or ban of trans fat (all settings)? | Absent |
| Mandatory limit of trans fats in place (all settings)? | Absent |
| Ban on trans-fats or phos in place (all settings)? | Absent |
| Are there any mandatory policies/marketing restrictions on the promotion of unhealthy food/drinks to children? | Absent |
| Mandatory restriction on broadcast media? | Absent |
| Mandatory restriction on non-broadcast media? | Absent |
| Voluntary policies/marketing restrictions on the promotion of unhealthy food/drinks to children? | Absent |
| Are there mandatory standards for food in schools? | Absent |
| Are there any mandatory nutrient limits in any manufactured food products? | Absent |
| Nutrition standards for public sector procurement? | Absent |
Political will and support
| National obesity strategy or nutrition and physical activity national strategy? | Absent |
| National obesity strategy? | Absent |
| National childhood obesity strategy? | Absent |
| Comprehensive nutrition strategy? | Present |
| Comprehensive physical activity strategy? | Absent |
| Evidence-based dietary guidelines and/or RDAs? | Absent |
| National target(s) on reducing obesity? | Absent |
| Promotion of breastfeeding? | Present |
Monitoring and surveillance
| Monitoring of the prevalence and incidence for the main obesity-related NCDs and risk factors? | Absent |
| Within 5 years? | Absent |
Governance and resource
| Multi-sectoral national co-ordination mechanism for obesity or nutrition (including obesity)? | Unknown |
Key
Last updated September 13, 2022
Download contextual factors as a PDF Contextual factors definitions