Morocco
- Overview
- Obesity prevalence
- Trends over time
- Population breakdowns
- Drivers
- Comorbidities
- Health systems
- Policies
Loading data – please wait …
National obesity risk *7.5/10This is a composite ‘obesity risk’ score (out of 10, the highest risk) based on obesity prevalence, rate of increase, likelihood of meeting the 2025 target, treatment indicator and childhood stunting levels.Childhood obesity risk *7/11This is a ‘risk score’ for each country’s likelihood of having or acquiring a major childhood obesity problem during the 2020s, taking account of current prevalence levels and risk for future obesity (based on stunting among infants, maternal obesity, maternal smoking, and breastfeeding rates).
* Based on estimated data. For more information see Publications
Obesity prevalence
Trends over time
Download report card
The report card collates all the most-recent graphics for this country. If you would like to produce a custom report based on selected graphics, just tap the Add to custom PDF button below the graphics you would like to use.Population breakdowns
Drivers
Insufficient activity
Soft drink consumption
Fruit consumption
Vegetable consumption
Fast food consumption
Processed meat consumption
Grains consumption
Depression
Anxiety
Roots of obesity »
Like all chronic diseases, the root causes/drivers of obesity are complex. Select here to view 'other' root causes/drivers.Breastfeeding
Download report card
Comorbidities
Health systems
Obesity prevalence
Adults, 2017-2018
| Survey type: | Measured |
| Age: | 18+ |
| Sample size: | 5261 |
| Area covered: | National |
| References: | STEPS Morocco 2017/18. Enquête Nationale sur les Facteurs de Risque communs des Maladies Non Transmissibles 2017 – 2018 : Rapport. https://www.who.int/ncds/surveillance/steps/STEPS-REPORT-2017-2018-Morocco-final.pdf?ua=1 (accessed 0.5.11.19) |
| Notes: | STEPS Monitoring |
| Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m². | |
Adults, 2008
| Survey type: | Measured |
| Age: | 18+ |
| Sample size: | 2891 |
| Area covered: | National |
| References: | Rhazi K El, Nejjari C, Zidouh A et al. Prevalence of obesity and associated sociodemographic and lifestyle factors in Morocco. Public Health Nutrition 2010:14(1)160-167 |
| Notes: | NOTE: 2017 data available, sample size (240). Barich et al. 2014. Association of Obesity and Socioeconomic Status among Women of Childbearing Age Living in Urban Area of Morocco. Journal of Nutrition and Metabolism, 2018. Doi: doi.org/10.1155/2018/6043042 |
| Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m². | |
Women, 2003-2004
| Survey type: | Measured |
| Age: | 15-49 |
| Sample size: | 15818 |
| Area covered: | National |
| References: | Demographic Health Survey 2003 - 2004 |
| Notes: | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
| Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m². | |
Adults, 2000
| Survey type: | Measured |
| Age: | 20+ |
| Sample size: | 1797 |
| References: | Personal Communication from Morocco Minister of Health. National Survey carried out in 2000. Details in press for Journal of Hypertension (Arpil 03) |
| Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m². | |
Adults, 1998-1999
| Survey type: | Measured |
| Age: | 20+ |
| Sample size: | 14028 |
| References: | Benjelloun S. Nutrition transition in Morocco. Public Health Nutrition. 2002;5(1A):135-140 |
| Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m². | |
Women, 1992
| Survey type: | Measured |
| Age: | 15-49 |
| Sample size: | 2850 |
| References: | Martorell R, Khan LK, Hughes ML, Grummer Strawn LM. Obesity in women from developing countries. EJCN (2000) 54;247-252 |
| Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m². | |
Adults, 1984-1985
| Survey type: | Measured |
| Age: | 20+ |
| Sample size: | 41526 |
| References: | Benjelloun S. Nutrition transition in Morocco. Public Health Nutrition. 2002;5(1A):135-140 |
| Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m². | |
Children, 2016
| Survey type: | Self-reported |
| Age: | 13-17 |
| Sample size: | 6745 |
| Area covered: | National |
| References: | Global School-based Student Health Survey (GSHS), available at https://www.who.int/ncds/surveillance/gshs/Morocco_2016_GSHS_FS.pdf?ua=1 (last accessed 14.12.20) |
| Notes: | WHO cutoffs. |
| Cutoffs: | WHO |
Children, 2011
| Survey type: | Measured |
| Age: | 8-15 |
| Sample size: | 1418 |
| Area covered: | National |
| References: | Sebbani et al. 2013. Prevalence of obesity and overweight among children in primary schools in Marrakech, Morocco. Rev Epidemiol Sante Publique. 61(6). pp. 545-9. [Article in French]. |
| Notes: | IOTF cut-offs used |
| Cutoffs: | IOTF |
Children, 2010
| Survey type: | Self-reported |
| Age: | 13-15 |
| Sample size: | 2924 |
| Area covered: | National |
| References: | Global School-based Student Health Survey Factsheet, available at https://www.who.int/ncds/surveillance/gshs/Morocco_2010_GSHS_FS.pdf?ua=1 (last accessed 14.12.20) |
| Cutoffs: | WHO |
% Adults living with obesity, 1984-2018
Men
| Survey type: | Measured |
| References: | 1984, 1998: Benjelloun S. Nutrition transition in Morocco. Public Health Nutrition. 2002;5(1A):135-140 2000: Personal Communication from Morocco Minister of Health. National Survey carried out in 2000. Details in press for Journal of Hypertension (Arpil 03) 2008: Rhazi K El, Nejjari C, Zidouh A et al. Prevalence of obesity and associated sociodemographic and lifestyle factors in Morocco. Public Health Nutrition 2010:14(1)160-167 2017: STEPS Morocco 2017/18. Enquête Nationale sur les Facteurs de Risque communs des Maladies Non Transmissibles 2017 – 2018 : Rapport. https://www.who.int/ncds/surveillance/steps/STEPS-REPORT-2017-2018-Morocco-final.pdf?ua=1 (accessed 0.5.11.19) |
| Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m². | |
| Different methodologies may have been used to collect this data and so data from different surveys may not be strictly comparable. Please check with original data sources for methodologies used. | |
Women
| Survey type: | Measured |
| References: | 1984, 1998: Benjelloun S. Nutrition transition in Morocco. Public Health Nutrition. 2002;5(1A):135-140 2000: Personal Communication from Morocco Minister of Health. National Survey carried out in 2000. Details in press for Journal of Hypertension (Arpil 03) 2008: Rhazi K El, Nejjari C, Zidouh A et al. Prevalence of obesity and associated sociodemographic and lifestyle factors in Morocco. Public Health Nutrition 2010:14(1)160-167 2017: STEPS Morocco 2017/18. Enquête Nationale sur les Facteurs de Risque communs des Maladies Non Transmissibles 2017 – 2018 : Rapport. https://www.who.int/ncds/surveillance/steps/STEPS-REPORT-2017-2018-Morocco-final.pdf?ua=1 (accessed 0.5.11.19) |
| Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m². | |
| Different methodologies may have been used to collect this data and so data from different surveys may not be strictly comparable. Please check with original data sources for methodologies used. | |
% Adults living with overweight or obesity, 1984-2018
Men
| Survey type: | Measured |
| References: | 1984, 1998: Benjelloun S. Nutrition transition in Morocco. Public Health Nutrition. 2002;5(1A):135-140 2000: Personal Communication from Morocco Minister of Health. National Survey carried out in 2000. Details in press for Journal of Hypertension (Arpil 03) 2008: Rhazi K El, Nejjari C, Zidouh A et al. Prevalence of obesity and associated sociodemographic and lifestyle factors in Morocco. Public Health Nutrition 2010:14(1)160-167 2017: STEPS Morocco 2017/18. Enquête Nationale sur les Facteurs de Risque communs des Maladies Non Transmissibles 2017 – 2018 : Rapport. https://www.who.int/ncds/surveillance/steps/STEPS-REPORT-2017-2018-Morocco-final.pdf?ua=1 (accessed 0.5.11.19) |
| Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m². | |
| Different methodologies may have been used to collect this data and so data from different surveys may not be strictly comparable. Please check with original data sources for methodologies used. | |
Women
| Survey type: | Measured |
| References: | 1984, 1998: Benjelloun S. Nutrition transition in Morocco. Public Health Nutrition. 2002;5(1A):135-140 2000: Personal Communication from Morocco Minister of Health. National Survey carried out in 2000. Details in press for Journal of Hypertension (Arpil 03) 2008: Rhazi K El, Nejjari C, Zidouh A et al. Prevalence of obesity and associated sociodemographic and lifestyle factors in Morocco. Public Health Nutrition 2010:14(1)160-167 2017: STEPS Morocco 2017/18. Enquête Nationale sur les Facteurs de Risque communs des Maladies Non Transmissibles 2017 – 2018 : Rapport. https://www.who.int/ncds/surveillance/steps/STEPS-REPORT-2017-2018-Morocco-final.pdf?ua=1 (accessed 0.5.11.19) |
| Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m². | |
| Different methodologies may have been used to collect this data and so data from different surveys may not be strictly comparable. Please check with original data sources for methodologies used. | |
% Adults living with obesity, selected countries, 1984-2018
Women
| References: | 1984, 1998: Benjelloun S. Nutrition transition in Morocco. Public Health Nutrition. 2002;5(1A):135-140 1991: Al-Lawati JA, Jousilahti PJ. Prevalence and 10year secular trend of obesity in Oman. Saudi Med J 2004;25:346-351 1997: Sibai AM, Hwalla N, Adra N, Rahal B. Prevalence and Covariates of Obesity in Lebanon: Findings from the First Epidemiolgical Study. Obesity Research 203;11:1353-1361 2000: Al-Lawati JA and Jousilahti PJ. (2004). Prevalence and 10 year secular trend of obesity in Oman. Saudi Medical Journal 25: 346 - 351. 2002: WHO Infobase, Macro international data 2007: Jordan Population and Family Health Survey 2007 2008: Riyami AA, Elaty MAA, Morsi M et al Oman World Health Survey: Part 1 - Methodology, Sociodemographic Profile and Epidemiology of Non-Communicable Diseases in Oman. Oman Medical Journal 2012; 27(5):425-443 2009: WHO STEPS Report 2009 Lebanon 2011: WHO EMRO Egypt STEPS Survey 2011-12 2012: DHS Jordan 2012 2015: DHS Egypt 2015. Ministry of Health and Population/Egypt, El-Zanaty and Associates/Egypt, and ICF International. 2015. Egypt Health Issues Survey 2015. Cairo, Egypt: Ministry of Health and Population/Egypt and ICF International. - See more at: http://dhsprogram.com/publications/publication-FR313-DHS-Final-Reports.cfm#sthash.StgV9s6X.dpuf 2016: Egypt National STEPwise Survey For Noncommunicable Diseases Risk Factors Report 2017 https://www.who.int/ncds/surveillance/steps/Egypt_National_STEPwise_Survey_For_Noncommunicable_Diseases_Risk_Factors_2017_Report.pdf?ua=1 2017: Executive Summary. Oman National Non-Communicable Disease & their Risk Factors Survey 2017 https://mohcsr.gov.om/wp-content/uploads/2019/01/Executive-Summary_NCDsurvey2017_En.pdf (last accessed 17.10.19) |
| Different methodologies may have been used to collect this data and so data from different surveys may not be strictly comparable. Please check with original data sources for methodologies used. | |
Men
| References: | 1984, 1998: Benjelloun S. Nutrition transition in Morocco. Public Health Nutrition. 2002;5(1A):135-140 1991: Al-Lawati JA, Jousilahti PJ. Prevalence and 10year secular trend of obesity in Oman. Saudi Med J 2004;25:346-351 1997: Sibai AM, Hwalla N, Adra N, Rahal B. Prevalence and Covariates of Obesity in Lebanon: Findings from the First Epidemiolgical Study. Obesity Research 203;11:1353-1361 2000: Al-Lawati JA and Jousilahti PJ. (2004). Prevalence and 10 year secular trend of obesity in Oman. Saudi Medical Journal 25: 346 - 351. 2002: WHO Infobase, Macro international data 2007: Jordan Population and Family Health Survey 2007 2008: Riyami AA, Elaty MAA, Morsi M et al Oman World Health Survey: Part 1 - Methodology, Sociodemographic Profile and Epidemiology of Non-Communicable Diseases in Oman. Oman Medical Journal 2012; 27(5):425-443 2009: WHO STEPS Report 2009 Lebanon 2011: WHO EMRO Egypt STEPS Survey 2011-12 2012: DHS Jordan 2012 2015: DHS Egypt 2015. Ministry of Health and Population/Egypt, El-Zanaty and Associates/Egypt, and ICF International. 2015. Egypt Health Issues Survey 2015. Cairo, Egypt: Ministry of Health and Population/Egypt and ICF International. - See more at: http://dhsprogram.com/publications/publication-FR313-DHS-Final-Reports.cfm#sthash.StgV9s6X.dpuf 2016: Egypt National STEPwise Survey For Noncommunicable Diseases Risk Factors Report 2017 https://www.who.int/ncds/surveillance/steps/Egypt_National_STEPwise_Survey_For_Noncommunicable_Diseases_Risk_Factors_2017_Report.pdf?ua=1 2017: Executive Summary. Oman National Non-Communicable Disease & their Risk Factors Survey 2017 https://mohcsr.gov.om/wp-content/uploads/2019/01/Executive-Summary_NCDsurvey2017_En.pdf (last accessed 17.10.19) |
| Different methodologies may have been used to collect this data and so data from different surveys may not be strictly comparable. Please check with original data sources for methodologies used. | |
Overweight/obesity by education
Men, 2008
| Survey type: | Measured |
| Age: | 18+ |
| Sample size: | 2891 |
| Area covered: | National |
| References: | Rhazi K El, Nejjari C, Zidouh A et al. Prevalence of obesity and associated sociodemographic and lifestyle factors in Morocco. Public Health Nutrition 2010:14(1)160-167 |
| Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m². | |
Women, 2008
| Survey type: | Measured |
| Age: | 18+ |
| Sample size: | 2891 |
| Area covered: | National |
| References: | Rhazi K El, Nejjari C, Zidouh A et al. Prevalence of obesity and associated sociodemographic and lifestyle factors in Morocco. Public Health Nutrition 2010:14(1)160-167 |
| Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m². | |
Overweight/obesity by region
Adults, 2017-2018
| Survey type: | Measured |
| Age: | 18+ |
| Sample size: | 5261 |
| Area covered: | National |
| References: | STEPS Morocco 2017/18. Enquête Nationale sur les Facteurs de Risque communs des Maladies Non Transmissibles 2017 – 2018 : Rapport. https://www.who.int/ncds/surveillance/steps/STEPS-REPORT-2017-2018-Morocco-final.pdf?ua=1 (accessed 0.5.11.19) |
| Notes: | STEPS |
| Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m². | |
Overweight/obesity by socio-economic group
Men, 2008
| Survey type: | Measured |
| Age: | 18+ |
| Sample size: | 2891 |
| Area covered: | National |
| References: | Rhazi K El, Nejjari C, Zidouh A et al. Prevalence of obesity and associated sociodemographic and lifestyle factors in Morocco. Public Health Nutrition 2010:14(1)160-167 |
| Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m². | |
Women, 2008
| Survey type: | Measured |
| Age: | 18+ |
| Sample size: | 2891 |
| Area covered: | National |
| References: | Rhazi K El, Nejjari C, Zidouh A et al. Prevalence of obesity and associated sociodemographic and lifestyle factors in Morocco. Public Health Nutrition 2010:14(1)160-167 |
| Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m². | |
Insufficient physical activity
Adults, 2016
| References: | 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 |
Men, 2016
| References: | 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 |
Women, 2016
| References: | 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 |
Children, 2016
| Survey type: | Self-reported |
| Age: | 11-17 |
| References: | Global Health Observatory data repository, World Health Organisation, https://apps.who.int/gho/data/node.main.A893ADO?lang=en (last accessed 16.03.21) |
| Notes: | % of school going adolescents not meeting WHO recommendations on Physical Activity for Health, i.e. doing less than 60 minutes of moderate- to vigorous-intensity physical activity daily. |
| Definitions: | % Adolescents insufficiently active (age standardised estimate) |
Boys, 2016
| Survey type: | Self-reported |
| Age: | 11-17 |
| References: | Global Health Observatory data repository, World Health Organisation, https://apps.who.int/gho/data/node.main.A893ADO?lang=en (last accessed 16.03.21) |
| Notes: | % of school going adolescents not meeting WHO recommendations on Physical Activity for Health, i.e. doing less than 60 minutes of moderate- to vigorous-intensity physical activity daily. |
| Definitions: | % Adolescents insufficiently active (age standardised estimate) |
Girls, 2016
| Survey type: | Self-reported |
| Age: | 11-17 |
| References: | Global Health Observatory data repository, World Health Organisation, https://apps.who.int/gho/data/node.main.A893ADO?lang=en (last accessed 16.03.21) |
| Notes: | % of school going adolescents not meeting WHO recommendations on Physical Activity for Health, i.e. doing less than 60 minutes of moderate- to vigorous-intensity physical activity daily. |
| Definitions: | % Adolescents insufficiently active (age standardised estimate) |
Children, 2010
| Age: | 11-17 |
| References: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A893?lang=en |
| Notes: | % of school going adolescents not meeting WHO recommendations on Physical Activity for Health, i.e. doing less than 60 minutes of moderate- to vigorous-intensity physical activity daily. |
| Definitions: | % Adolescents insufficiently active (age standardised estimate) |
Boys, 2010
| Age: | 11-17 |
| References: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A893?lang=en |
| Notes: | % of school going adolescents not meeting WHO recommendations on Physical Activity for Health, i.e. doing less than 60 minutes of moderate- to vigorous-intensity physical activity daily. |
| Definitions: | % Adolescents insufficiently active (age standardised estimate) |
Girls, 2010
| Age: | 11-17 |
| References: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A893?lang=en |
| Notes: | % of school going adolescents not meeting WHO recommendations on Physical Activity for Health, i.e. doing less than 60 minutes of moderate- to vigorous-intensity physical activity daily. |
| Definitions: | % Adolescents insufficiently active (age standardised estimate) |
Average daily frequency of carbonated soft drink consumption
Children, 2009-2015
| Survey type: | Measured |
| Age: | 12-17 |
| References: | Beal et al. (2019). Global Patterns of Adolescent Fruit, Vegetable, Carbonated Soft Drink, and Fast-food consumption: A meta-analysis of global school-based student health surveys. Food and Nutrition Bulletin. https://doi.org/10.1177/0379572119848287 sourced from Food Systems Dashboard http://www.foodsystemsdashboard.org/food-system |
Estimated per capita fruit intake
Adults, 2017
| Survey type: | Measured |
| Age: | 25+ |
| References: | Global Burden of Disease, the Institute for Health Metrics and Evaluation http://ghdx.healthdata.org/ |
| Definitions: | Estimated per-capita fruit intake (g/day) |
Prevalence of less than daily fruit consumption
Children, 2008-2015
| Survey type: | Measured |
| Age: | 12-17 |
| References: | Global School-based Student Health Surveys. Beal et al (2019). Global Patterns of Adolescent Fruit, Vegetable, Carbonated Soft Drink, and Fast-food consumption: A meta-analysis of global school-based student health surveys. Food and Nutrition Bulletin. https://doi.org/10.1177/0379572119848287. Sourced from Food Systems Dashboard http://www.foodsystemsdashboard.org/food-system |
| Definitions: | Prevalence of less-than-daily fruit consumption (% less-than-daily fruit consumption) |
Prevalence of less than daily vegetable consumption
Children, 2008-2015
| Survey type: | Measured |
| Age: | 12-17 |
| References: | Beal et al. (2019). Global Patterns of Adolescent Fruit, Vegetable, Carbonated Soft Drink, and Fast-food consumption: A meta-analysis of global school-based student health surveys. Food and Nutrition Bulletin. https://doi.org/10.1177/0379572119848287 sourced from Food Systems Dashboard http://www.foodsystemsdashboard.org/food-system |
| Definitions: | Prevalence of less-than-daily vegetable consumption (% less-than-daily vegetable consumption) |
Average weekly frequency of fast food consumption
Children, 2009-2015
| Age: | 12-17 |
| References: | Beal et al. (2019). Global Patterns of Adolescent Fruit, Vegetable, Carbonated Soft Drink, and Fast-food consumption: A meta-analysis of global school-based student health surveys. Food and Nutrition Bulletin. https://doi.org/10.1177/0379572119848287 sourced from Food Systems Dashboard http://www.foodsystemsdashboard.org/food-system |
Estimated per-capita processed meat intake
Adults, 2017
| Survey type: | Measured |
| Age: | 25+ |
| References: | Global Burden of Disease, the Institute for Health Metrics and Evaluation http://ghdx.healthdata.org/ |
| Definitions: | Estimated per-capita processed meat intake (g per day) |
Estimated per capita whole grains intake
Adults, 2017
| Survey type: | Measured |
| Age: | 25+ |
| References: | Global Burden of Disease, the Institute for Health Metrics and Evaluation http://ghdx.healthdata.org/ |
| Definitions: | Estimated per-capita whole grains intake (g/day) |
Mental health - depression disorders
Adults, 2015
| References: | 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. |
| Definitions: | % of population with depression disorders |
Mental health - anxiety disorders
Adults, 2015
| References: | 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. |
| Definitions: | % of population with anxiety disorders |
% Infants exclusively breastfed 0-5 months
Children, 2010-2019
| Area covered: | National |
| References: | Enquête Nationale sur la Population et la Santé Familiale (ENPSF) -2017-2018 |
| Notes: | See UNICEF website for further survey information. Available at : https://data.unicef.org/resources/dataset/infant-young-child-feeding/ (last accessed 28.9.21) Citation: United Nations Children’s Fund, Division of Data, Analysis, Planning and Monitoring (2021). Global UNICEF Global Databases: Infant and Young Child Feeding: Exclusive breastfeeding, New York, September 2021. |
| Definitions: | % exclusively breastfed 0-5 months |
Oesophageal cancer
Men, 2018
| Age: | 20+ |
| References: | Global Cancer Observatory, Cancer incidence rates http://gco.iarc.fr/ (last accessed 30th June 2020) |
| Definitions: | Estimated age-standardized incidence rates (World) in 2018, oesophagus, adults ages 20+. ASR (World) per 100,000 |
Women, 2018
| Age: | 20+ |
| References: | Global Cancer Observatory, Cancer incidence rates http://gco.iarc.fr/ (last accessed 30th June 2020) |
| Definitions: | Estimated age-standardized incidence rates (World) in 2018, oesophagus, adults ages 20+. ASR (World) per 100,000 |
Breast cancer
Women, 2018
| Age: | 20+ |
| References: | Global Cancer Observatory, Cancer incidence rates http://gco.iarc.fr/ (last accessed 30th June 2020) |
| Definitions: | Estimated age-standardized incidence rates (World) in 2018, breast, females, ages 20+. ASR (World) per 100,000 |
Colorectal cancer
Men, 2018
| Age: | 20+ |
| References: | Global Cancer Observatory, Cancer incidence rates http://gco.iarc.fr/ (last accessed 30th June 2020) |
| Definitions: | Estimated age-standardized incidence rates (World) in 2018, colorectum, adults, ages 20+. ASR (World) per 100,000 |
Women, 2018
| Age: | 20+ |
| References: | Global Cancer Observatory, Cancer incidence rates http://gco.iarc.fr/ (last accessed 30th June 2020) |
| Definitions: | Estimated age-standardized incidence rates (World) in 2018, colorectum, adults, ages 20+. ASR (World) per 100,000 |
Pancreatic cancer
Men, 2018
| Age: | 20+ |
| References: | Global Cancer Observatory, Cancer incidence rates http://gco.iarc.fr/ (last accessed 30th June 2020) |
| Definitions: | Estimated age-standardized incidence rates (World) in 2018, pancreas, adults, ages 20+. ASR (World) per 100,000 |
Women, 2018
| Age: | 20+ |
| References: | Global Cancer Observatory, Cancer incidence rates http://gco.iarc.fr/ (last accessed 30th June 2020) |
| Definitions: | Estimated age-standardized incidence rates (World) in 2018, pancreas, adults, ages 20+. ASR (World) per 100,000 |
Gallbladder cancer
Men, 2018
| Age: | 20+ |
| References: | Global Cancer Observatory, Cancer incidence rates http://gco.iarc.fr/ (last accessed 30th June 2020) |
| Definitions: | Estimated age-standardized incidence rates (World) in 2018, gallbladder, adults, ages 20+. ASR (World) per 100,000 |
Women, 2018
| Age: | 20+ |
| References: | Global Cancer Observatory, Cancer incidence rates http://gco.iarc.fr/ (last accessed 30th June 2020) |
| Definitions: | Estimated age-standardized incidence rates (World) in 2018, gallbladder, adults, ages 20+. ASR (World) per 100,000 |
Kidney cancer
Men, 2018
| Age: | 20+ |
| References: | Global Cancer Observatory, Cancer incidence rates http://gco.iarc.fr/ (last accessed 30th June 2020) |
| Definitions: | Estimated age-standardized incidence rates (World) in 2018, kidney, adults, ages 20+. ASR (World) per 100,000 |
Women, 2018
| Age: | 20+ |
| References: | Global Cancer Observatory, Cancer incidence rates http://gco.iarc.fr/ (last accessed 30th June 2020) |
| Definitions: | Estimated age-standardized incidence rates (World) in 2018, kidney, adults, ages 20+. ASR (World) per 100,000 |
Cancer of the uterus
Women, 2018
| Age: | 20+ |
| References: | Global Cancer Observatory, Cancer incidence rates http://gco.iarc.fr/ (last accessed 30th June 2020) |
| Definitions: | Estimated age-standardized incidence rates (World) in 2018, cervix uteri, females, ages 20+. ASR (World) per 100,000 |
Raised blood pressure
Adults, 2015
| References: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A875?lang=en |
| Definitions: | Age Standardised estimated % Raised blood pressure 2015 (SBP>=140 OR DBP>=90). |
Men, 2015
| References: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A875?lang=en |
| Definitions: | Age Standardised estimated % Raised blood pressure 2015 (SBP>=140 OR DBP>=90). |
Women, 2015
| References: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A875?lang=en |
| Definitions: | Age Standardised estimated % Raised blood pressure 2015 (SBP>=140 OR DBP>=90). |
Raised cholesterol
Adults, 2008
| References: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A885 |
| Definitions: | % Raised total cholesterol (>= 5.0 mmol/L) (age-standardized estimate). |
Men, 2008
| References: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A885 |
| Definitions: | % Raised total cholesterol (>= 5.0 mmol/L) (age-standardized estimate). |
Women, 2008
| References: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A885 |
| Definitions: | % Raised total cholesterol (>= 5.0 mmol/L) (age-standardized estimate). |
Raised fasting blood glucose
Men, 2014
| References: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A869?lang=en |
| Definitions: | Age Standardised % raised fasting blood glucose (>= 7.0 mmol/L or on medication). |
Women, 2014
| References: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A869?lang=en |
| Definitions: | Age Standardised % raised fasting blood glucose (>= 7.0 mmol/L or on medication). |
Diabetes prevalence
Adults, 2019
| Age: | 20-79 |
| References: | Reproduced with kind permission International Diabetes Federation. IDF Diabetes Atlas, 9th edn. Brussels,Belgium: 2019. Available at: https://www.diabetesatlas.org |
| Definitions: | Diabetes age-adjusted comparative prevalence (%). |
Adults, 2017
| References: | Reproduced with kind permission of IDF, International Diabetes Federation. IDF Diabetes Atlas, 8th edition. Brussels, Belgium: International Diabetes Federation, 2017. http://www.diabetesatlas.org |
| Definitions: | Diabetes age-adjusted comparative prevalence (%). |
Health systems
Economic classification: Lower Middle Income
Health systems summary
Morocco has two state-financed schemes: the subsidised Medical Assistance Regime (Régime d’Assistance Médicale, RAMED) and the non-subsidised Mandatory Health Insurance Plan (Assurance Maladie Obligatoire, AMO). RAMED, rolled out nationally in 2012, covered 19% of the population in 2016 and is meant for poor and vulnerable households who make no and low contributions respectively. About 33% of the population are covered by their own private insurance or AMO, the non-subsidised mandatory health insurance that covers private and public sector workers, uninsured spouses and children, and students. It is estimated that 48% of the population have no coverage, meaning out of pocket expenditure in Morocco is high.
All residents of Morocco are entitled to free primary healthcare. Secondary and tertiary are not free, and so are generally covered by RAMED, AMO, private insurance or out of pocket payments. The Moroccan health system is said to be up against many challenges including a shortage of health workers, poor financing and inequity in access to services.
Indicators
| Where is the country’s government in the journey towards defining ‘Obesity as a disease’? | No |
| Where is the country’s healthcare provider in the journey towards defining ‘Obesity as a disease’? | No |
| Is there specialist training available dedicated to the training of health professionals to prevent, diagnose, treat and manage obesity? | No |
| Have any taxes or subsidies been put in place to protect/assist/inform the population around obesity? | Yes |
| Are there adequate numbers of trained health professionals in specialties relevant to obesity in urban areas? | Not known |
| Are there adequate numbers of trained health professionals in specialties relevant to obesity in rural areas? | Not known |
| Are there any obesity-specific recommendations or guidelines published for adults? | No |
| Are there any obesity-specific recommendations or guidelines published for children? | No |
| In practice, how is obesity treatment largely funded? | Not known |
Summary of stakeholder feedback
The stakeholder reported that that there are no real strategies or plans focused on obesity in Morocco. It appears that obesity is not considered a priority at all, with it not even featuring in discussions about the management of non-communicable disease risk factors.
Overall, the Moroccan health system is not thought to be working for the prevention, management and treatment of obesity. The stakeholder claimed there were little to no prevention efforts, but felt obesity could be better prevented by:
Improving the population’s awareness of obesity
Having cross-sectoral collaboration that includes (but is not limited to) health and education bodies, industry and non-government organisations
Running health education programmes
Based on interviews/survey returns from 1 stakeholder
Last updated: June 2020
