Health Statistics in the Comoros

Explore trusted health data and trends for the Comoros.

All Health datasets for the Comoros (856)

Dataset
Crude suicide rates (per 100 000 population)
WHO
–
Age-standardized suicide rates (per 100 000 population)
WHO
+2.3%
Mortality rate attributed to unintentional poisoning (per 100 000 population)
WHO
0%
Premature deaths due to noncommunicable diseases (NCD) as a proportion of all NCD deaths
WHO
0%
Age-standardized NCD mortality rate (per 100 000 population)
WHO
+2.1%
Total NCD Deaths
WHO
+3.6%
Probability (%) of dying between age 30 and exact age 70 from any of cardiovascular disease, cancer, diabetes, or chronic respiratory disease
WHO
+5.5%
Adult mortality rate (probability of dying between 15 and 60 years per 1000 population)
WHO
−6.3%
Number of female leprosy new cases
WHO
−23.2%
New leprosy child case detection rate (less than 15 years of age) per 1 000 000 child population
WHO
−38.2%
Number of non-autochthonous leprosy cases
WHO
0
New leprosy case detection rate per 1 000 000 population
WHO
−29%
Leprosy - Number of cases registered for treatment
WHO
−16.1%
Leprosy registered prevalence rate per 1 000 000 population
WHO
−17.6%
Number of new G2D leprosy cases
WHO
−83.3%
Leprosy - New leprosy cases with G2D rate per 1 000 000 population
WHO
−83.6%
Leprosy - Number of new leprosy cases among children (less than 15 years of age)
WHO
−37.5%
Number of new leprosy cases with G2D among children (less than 15 years of age)
WHO
0%
Number of new leprosy cases
WHO
−27.7%
New chronic hepatitis B (HBV) infections (number)
WHO
−17.1%
Hepatitis - Deaths caused by chronic hepatitis B and C (per 100 000 population)
WHO
+7.6%
People living with chronic hepatitis B (HBV) (number)
WHO
−2.3%
Prevalence of chronic hepatitis B (HBV) in the general population (%)
WHO
−18%
New chronic hepatitis C (HCV) infections (number)
WHO
−12.4%
People living with chronic hepatitis C (HCV) including cured (all ages) (adjusted number)
WHO
+18.2%
People living with chronic hepatitis C (HCV) (number)
WHO
−5.9%
Prevalence of chronic hepatitis C (HCV) ) in the general population (%)
WHO
−21.3%
Hepatitis - Deaths caused by chronic hepatitis B and C
WHO
+27.9%
Persons on chronic hepatitis B (HBV) treatment (number)
WHO
+162.5%
Chronic hepatitis B (HBV) treatment rate as percentage of diagnosed (%)
WHO
+85.5%
Chronic hepatitis B (HBV) treatment rate as percentage of total infected (%)
WHO
+175%
Persons on chronic hepatitis C (HCV) treatment, cumulative (number)
WHO
+2,700%
Chronic hepatitis C (HCV) cumulative treatment rate as percentage of total infected, including cured  (%)
WHO
+2,361.5%
Persons initiated chronic hepatitis C(HCV) treatment (number)
WHO
+12.5%
Chronic hepatitis C (HCV) treatment rate as percentage of diagnosed (%)
WHO
+1,283.9%
Chronic hepatitis B (HBV) infected persons diagnosed (number)
WHO
+41.4%
Chronic hepatitis B (HBV) diagnosis coverage as a percentage of infected (%)
WHO
+44.8%
Chronic hepatitis C (HCV) infected persons diagnosed, including cured (number)
WHO
+102.2%
Chronic hepatitis C (HCV) infected persons diagnosed (number)
WHO
+19.4%
Chronic hepatitis C (HCV) diagnosis coverage as percentage of total HCV infected, including cured (%)
WHO
+71%
Pregnant women attending antenatal care, tested for HBsAg (percent)
WHO
+205.6%
Pregnant women attending antenatal care, tested positive for HBsAg (percent)
WHO
−66.7%
Eligible women attending antenatal care who were treated for HBV
WHO
+300%
Life expectancy at birth (years)
WHO
+1.3%
Healthy life expectancy (HALE) at birth (years)
WHO
+1.5%
Healthy life expectancy (HALE) at age 60 (years)
WHO
+2.2%
Life expectancy at age 60 (years)
WHO
+1.7%
Prevalence of insufficient physical activity among adults aged 18+ years (age-standardized estimate) (%)
WHO
+3%
Physical activity policies for activie societies
WHO
0
Physical activity policies focused on active systems
WHO
0%
Number of imported cases of visceral leishmaniasis reported
WHO
–
Overweight numbers among children under 5 years of age (thousands), model-based estimates
WHO
−4%
Overweight prevalence among children under 5 years of age (% weight-for-height >+2 SD), model-based estimates
WHO
−2.6%
Stunting numbers among children under 5 years of age (millions), model-based estimates
WHO
−0.9%
Stunting prevalence among children under 5 years of age (% height-for-age <-2 SD), model-based estimates
WHO
−2%
Number of under-five deaths
WHO
−2.6%
Under-five mortality rate (probability of dying by age 5 per 1000 live births)
WHO
−2.9%
Stillbirth rate (per 1000 total births)
WHO
−0.9%
Number of deaths among children ages 5 to 9 years
WHO
+19.4%
Mortality rate among children ages 5 to 9 years (per 1000 children aged 5)
WHO
+20.7%
Number of neonatal deaths
WHO
−2%
Neonatal mortality rate (per 1000 live births)
WHO
−2.6%
Number of deaths among children 5 to 14 years of age
WHO
+17%
Mortality rate for 5-14 year-olds (probability of dying per 1000 children aged 5-14 years)
WHO
+23.9%
Number of women of reproductive age (aged 15-49 years) with anaemia (thousands)
WHO
+4.5%
Number of infant deaths
WHO
−2.3%
Infant mortality rate (probability of dying between birth and age 1 per 1000 live births)
WHO
−2.8%
Number of deaths among adolescents (10 to 19 years of age)
WHO
+19%
Adolescent mortality rate (per 1 000 age specific cohort)
WHO
+13.6%
Hepatitis B surface antigen (HBsAg) prevalence (%)
WHO
−40%
Reported number of people receiving antiretroviral therapy
WHO
+40.8%
Reported number of children receiving antiretroviral therapy
WHO
+28.6%
Number of pregnant women living with HIV who received antiretrovirals for preventing mother-to-child transmission
WHO
+142.9%
Estimated antiretroviral therapy coverage among people living with HIV (%)
WHO
+31.8%
Childhood cancer survival for lymphoid leukaemia, age-standardized 5-year net survival (%)
WHO
–
International Health Regulations core capacity scores, SPAR version, 2nd edition
WHO
0%
HPV immunization coverage estimates among primary target cohort (9-14 years old girls) (%)
WHO
–
Polio (Pol3) immunization coverage among 1-year-olds (%)
WHO
+575%
Pertussis - number of reported cases
WHO
0
Total tetanus - number of reported cases
WHO
+200%
Yellow fever - number of reported cases
WHO
0
Rubella - number of reported cases
WHO
−4
Diphtheria - number of reported cases
WHO
0
Japanese encephalitis - number of reported cases
WHO
0
Mumps - number of reported cases
WHO
+1,900%
Congenital Rubella Syndrome - number of reported cases
WHO
0
Neonatal tetanus - number of reported cases
WHO
+100%
Measles - number of reported cases
WHO
−88.2%
Pneumoccocal conjugate vaccines (PCV3) immunization coverage among 1-year-olds (%)
WHO
0
Rotavirus vaccines completed dose (RotaC) immunization coverage among 1-year-olds (%)
WHO
0
Measles-containing-vaccine second-dose (MCV2) immunization coverage by the nationally recommended age (%)
WHO
0%
Hib (Hib3) immunization coverage among 1-year-olds (%)
WHO
0%
Measles-containing-vaccine first-dose (MCV1) immunization coverage among 1-year-olds (%)
WHO
0%
Inactivated first-dose polio vaccine (IPV1) immunization coverage among 1-year-olds (%) (WUENIC)
WHO
0%
Diphtheria tetanus toxoid and pertussis (DTP3) immunization coverage among 1-year-olds (%)
WHO
0%
Hepatitis B (HepB3) immunization coverage among 1-year-olds (%)
WHO
0%
BCG immunization coverage among 1-year-olds (%)
WHO
−1.2%
Diphtheria tetanus toxoid and pertussis first-dose (DTP1) immunization coverage among 1-year-olds (%) (WUENIC)
WHO
0%
Adopted written national policy on alcohol
WHO
–
Alcoholic beverage legally defined
WHO
–
National legislation to prevent illegal alcohol
WHO
–
Standard drink defined
WHO
–
National drinking guidelines
WHO
–
National legislation to prevent illegal alcohol sales
WHO
–
Government monopoly on production
WHO
–
Government monopoly on retail sales
WHO
–
Detection of marketing infringements
WHO
–
Penalties for marketing infringements
WHO
–
Off-premise sales restrictions on days
WHO
–
Off-premise sales restrictions on hours
WHO
–
Off-premise sales restrictions on places
WHO
–
Off-premise sales restrictions on outlet density
WHO
–
On-premise sales restrictions on days
WHO
–
On-premise sales restrictions on hours
WHO
–
On-premise sales restrictions on places
WHO
–
On-premise sales restrictions on outlet density
WHO
–
On-premise sales restrictions to intoxicated persons
WHO
–
Server training
WHO
–
Level of taxation adjusted for inflation
WHO
–
Duty paid or excise stamp on alcohol container
WHO
–
Number of standard alcoholic drinks displayed on containers
WHO
–
Alcohol content displayed on containers
WHO
–
Health warning labels on pregnancy
WHO
–
Health warning labels on under-age drinking
WHO
–
Health warning labels on drink-driving
WHO
–
Health warning labels on alcohol advertising
WHO
–
Health warning labels on alcohol containers
WHO
–
Random breath testing (RBT) use
WHO
–
Penalties for drink driving
WHO
–
Sobriety checkpoints
WHO
–
Graduated licensing
WHO
–
Alcohol, recorded per capita (15+) consumption (in litres of pure alcohol), by beverage type
WHO
0
Alcohol, recorded per capita (15+) consumption (in litres of pure alcohol), three-year average
WHO
0%
Alcohol, unrecorded per capita (15+) consumption (in litres of pure alcohol), three-year average
WHO
0
Alcohol, tourist consumption (in litres of pure alcohol), three-year average
WHO
0
Alcohol, consumption of pure alcohol by type of beverage (%)
WHO
0
Cancer survival for those diagnosed with breast cancer, 5-year net survival (%)
WHO
–
Household air pollution attributable deaths
WHO
–
Household air pollution attributable DALYs
WHO
–
Household air pollution attributable DALYs (per 100 000, age-standardized)
WHO
–
Household air pollution attributable death rate (per 100 000 population, age-standardized)
WHO
–
Ambient air pollution attributable deaths
WHO
–
Ambient air pollution attributable death rate (per 100 000 population, age-standardized)
WHO
–
Ambient air pollution attributable DALYs
WHO
–
Ambient air pollution attributable DALYs (per 100 000 population, age-standardized)
WHO
–
Joint effects of air pollution attributable deaths
WHO
–
Household and ambient air pollution attributable DALYs (per 100 000 capita, age-standardized)
WHO
–
Ambient and household air pollution attributable death rate (per 100 000 population, age-standardized)
WHO
–
Alcohol, total per capita (15+) consumption (in litres of pure alcohol) (SDG Indicator 3.5.2), three-year average
WHO
0%
Exclusive breastfeeding under six months (in thousands)
WHO
+100%
Low birth weight number (in thousands)
WHO
0%
Low birth weight prevalence (%)
WHO
−0.9%
Underweight among adults, BMI < 18.5 kg/m2 (age-standardized estimate) (%)
WHO
0%
Underweight among adults, BMI < 18.5 kg/m2 (crude estimate) (%)
WHO
−1.5%
Overweight among adults, BMI ≥ 25 kg/m2 (age-standardized estimate) (%)
WHO
+2.6%
Overweight among adults, BMI ≥ 25 kg/m2 (crude estimate) (%)
WHO
+2%
Obesity among adults, BMI ≥ 30 kg/m2 (age-standardized estimate) (%)
WHO
+2.8%
Obesity among adults, BMI ≥ 30 kg/m2 (crude estimate) (%)
WHO
+3.4%
Proportion of population with primary reliance on clean fuels and technologies for cooking (%)
WHO
+10%
Births attended by skilled health personnel (%)
WHO
+18.3%
Current health expenditure (CHE) per capita in US$
WHO
−17.6%
Current health expenditure (CHE) as percentage of gross domestic product (GDP) (%)
WHO
−22.7%
External health expenditure (EXT) per capita in US$
WHO
−49.1%
External health expenditure (EXT) as percentage of current health expenditure (CHE) (%)
WHO
−38.2%
Domestic general government health expenditure (GGHE-D) per capita in US$
WHO
+3.2%
Domestic general government health expenditure (GGHE-D) as percentage of current health expenditure (CHE) (%)
WHO
+25.3%
Domestic general government health expenditure (GGHE-D) as percentage of gross domestic product (GDP) (%)
WHO
−2.3%
Domestic general government health expenditure (GGHE-D) as percentage of general government expenditure (GGE) (%)
WHO
0%
Out-of-pocket expenditure (OOP) per capita in US$
WHO
+7.1%
Out-of-pocket expenditure as percentage of current health expenditure (CHE) (%)
WHO
+30%
Primary health care expenditure (PHCE) per сapita in US$
WHO
+10.1%
Domestic private health expenditure (PVT-D) per capita in US$
WHO
+7.1%
Domestic private health expenditure (PVT-D) as percentage of current health expenditure (CHE) (%)
WHO
+30%
Adolescent birth rate (per 1000 women)
WHO
+6.3%
Medical doctors (per 10,000)
WHO
−3.9%
Nursing and midwifery personnel (per 10,000)
WHO
+3.9%
Dentists (per 10,000)
WHO
−5%
Pharmacists (per 10,000)
WHO
+9.1%
Reported number of people requiring interventions against NTDs
WHO
0%
Tobacco MPOWER Protect people: P2 smoke-free places, additional characteristics
WHO
0
Tobacco Monitor: school-based national surveys, tobacco use, tobacco smoking, and cigarette smoking, prevalence
WHO
–
Tobacco Monitor: school-based national surveys, smokeless tobacco or e-cigarettes, prevalence
WHO
–
Tobacco Monitor: population-based national surveys, smokeless tobacco or e-cigarettes
WHO
–
Tobacco Monitor: population-based national surveys, tobacco use and smoking, prevalence
WHO
–
Tobacco Monitor: population-based national surveys, smokeless tobacco or e-cigarettes, prevalence
WHO
–
Best-practice policy implemented for industrially produced trans-fatty acids (TFA) (Y/N)
WHO
0
Tobacco Monitor: population-based national surveys, tobacco use and smoking
WHO
–
Tobacco Monitor: school-based national surveys, tobacco use and smoking
WHO
–
Tobacco Monitor: school-based national surveys, smokeless tobacco or e-cigarettes
WHO
–
Environmental and Occupational Health and Hygiene Professionals (number)
WHO
+7,680%
Environmental and Occupational Health Inspectors and Associates (number)
WHO
–
Medical and Pathology Laboratory scientists (number)
WHO
+2,200%
Medical and Pathology Laboratory Technicians (number)
WHO
0%
Physiotherapy Technicians and Assistants (number)
WHO
–
Community Health Workers (number)
WHO
–
Pharmacists (number)
WHO
+14.3%
Pharmaceutical Technicians and Assistants (number)
WHO
0%
Dentists (number)
WHO
0%
Dental Assistants and Therapists (number)
WHO
–
Dental Prosthetic Technicians (number)
WHO
–
Nursing and midwifery personnel (number)
WHO
+8%
Nursing personnel (number)
WHO
+14.9%
Midwifery personnel (number)
WHO
0%
Medical doctors (number)
WHO
0%
Generalist medical practitioners (number)
WHO
0%
Specialist medical practitioners (number)
WHO
0%
Medical doctors not further defined (number)
WHO
+6%
Malaria ITN use: Population in malaria-endemic areas who slept under an insecticide-treated bed net (ITN) the previous night (%)
WHO
−23.3%
Estimate of current cigarette smoking prevalence (%) (age-standardized)
WHO
−33.3%
Number of current cigarette smokers, estimate
WHO
0%
Estimate of current tobacco smoking prevalence (%) (age-standardized rate)
WHO
−3.9%
Estimate of current tobacco use prevalence (%) (age-standardized)
WHO
−5.6%
Estimate of current cigarette smoking prevalence (%)
WHO
−33.3%
Estimate of current tobacco smoking prevalence (%)
WHO
−3.3%
Domestic general government expenditure on PHC as % of primary health care expenditure (PHCE) (%)
WHO
−3.8%
Antenatal care attendees who were positive for syphilis (%), reported
WHO
−61%
Total number of  malaria cases (presumed + confirmed cases)
WHO
+162.2%
Number of suspected malaria cases
WHO
+181.5%
Number of malaria suspects examined by rapid diagnostic test (RDT)
WHO
+224.6%
Number of malaria positive cases by rapid diagnostic test (RDT)
WHO
+103.3%
Number of presumed malaria cases
WHO
0
Number of indigenous P. falciparum malaria cases
WHO
+158.5%
Domestic Expenditure on Malaria
WHO
+476.5%
Number of malaria suspects examined by microscopy
WHO
+168.8%
Number of malaria positive cases by microscopy
WHO
+199.8%
Population with access to an insecticide-treated bed net (ITN) for malaria protection (%), modelled
WHO
−23.3%
Number of people protected from malaria by indoor residual spraying (IRS)
WHO
+509.6%
Number of indigenous malaria cases
WHO
+158.5%
Number of imported malaria cases
WHO
+2,780%
Number of confirmed malaria cases
WHO
+162.2%
Number of malaria cases treated with artemisinin-based combination therapies (ACTs)
WHO
+365.5%
Number of malaria cases treated with any first  line tx courses (including artemisinin-based combination therapies (ACTs))
WHO
+365.5%
Estimated malaria mortality rate (per 100 000 population)
WHO
+157.5%
Estimated malaria incidence (per 1000 population at risk)
WHO
+153.7%
Estimated number of malaria deaths
WHO
+162.3%
Estimated number of malaria cases
WHO
+158.5%
Alcohol content in beverage in percent of volume, (alcohol by volume) (ABV %)
WHO
–
Sugar-content of beverage (g/100ml)
WHO
–
Primary data availability for UHC Service Coverage Index (SDG 3.8.1) (%)
WHO
–
UHC Service Coverage Index (SDG 3.8.1)
WHO
−1.9%
UHC Service Coverage sub-index on service capacity and access
WHO
+1.9%
UHC Service Coverage sub-index on infectious diseases
WHO
−7.1%
UHC Service Coverage sub-index on noncommunicable diseases
WHO
+1.4%
UHC Service Coverage sub-index on reproductive, maternal, newborn and child health
WHO
0%
HIV-positive TB patients on ART (antiretroviral therapy) (%)
WHO
0%
TB patients with known HIV status (%)
WHO
+6.7%
Tested TB patients HIV-positive (%)
WHO
+5.3%
Treatment success rate for patients treated for MDR-TB (%)
WHO
0%
Treatment success rate: new TB cases
WHO
+8.2%
Treatment success rate: previously treated TB cases
WHO
−6.3%
Treatment success rate: HIV-positive TB cases
WHO
+100%
New cases tested for RR-/MDR-TB (%)
WHO
0%
Previously treated cases tested for RR-/MDR-TB (%)
WHO
0%
Cases started on MDR-TB treatment
WHO
−2
Confirmed cases of RR-/MDR-TB
WHO
−2
Tuberculosis - new and relapse cases
WHO
+19.6%
Tuberculosis treatment coverage
WHO
+38.8%
Estimated number of MDR/RR-TB incident cases
WHO
0%
Number of incident tuberculosis cases, (HIV-positive cases)
WHO
−4
Incidence of tuberculosis (per 100 000 population per year)
WHO
−15.4%
Number of incident tuberculosis cases
WHO
−13.6%
Number of incident tuberculosis cases in children aged 0 - 14
WHO
–
Number of deaths due to tuberculosis, excluding HIV
WHO
−42%
Deaths due to tuberculosis among HIV-negative people (per 100 000 population)
WHO
−41.4%
Cause of death, by communicable diseases and maternal, prenatal and nutrition conditions, ages 0-4, female (% of female population ages 0-4)
Gender Statistics
−0.7%
Cause of death, by communicable diseases and maternal, prenatal and nutrition conditions, ages 0-4, male (% of male population ages 0-4)
Gender Statistics
−0.9%
Cause of death, by communicable diseases and maternal, prenatal and nutrition conditions, ages 0-4 (% of population ages 0-4)
Gender Statistics
−0.8%
Cause of death, by communicable diseases and maternal, prenatal and nutrition conditions, ages 5-14, female (% of female population ages 5-14)
Gender Statistics
−2.6%
Cause of death, by communicable diseases and maternal, prenatal and nutrition conditions, ages 5-14, male (% of male population ages 5-14)
Gender Statistics
−3%
Cause of death, by communicable diseases and maternal, prenatal and nutrition conditions, ages 5-14 (% of population ages 5-14)
Gender Statistics
−2.9%
Cause of death, by communicable diseases and maternal, prenatal and nutrition conditions, ages 15-59, female (% of female population ages 15-59)
Gender Statistics
+0.3%
Cause of death, by communicable diseases and maternal, prenatal and nutrition conditions, ages 15-59 (% of population ages 15-59)
Gender Statistics
+2.4%
Cause of death, by communicable diseases and maternal, prenatal and nutrition conditions, ages 60+, female (% of female population ages 60+)
Gender Statistics
−2.2%
Cause of death, by communicable diseases and maternal, prenatal and nutrition conditions, ages 60+, male (% of male population ages 60+)
Gender Statistics
−0.9%
Cause of death, by communicable diseases and maternal, prenatal and nutrition conditions, female (% of female population)
Gender Statistics
−6.2%
Cause of death, by communicable diseases and maternal, prenatal and nutrition conditions, male (% of male population)
Gender Statistics
−5.3%
Cause of death, by injury, ages 0-4, female (% of female population ages 0-4)
Gender Statistics
+4.6%
Cause of death, by injury, ages 0-4, male (% of male population ages 0-4)
Gender Statistics
+6.7%
Cause of death, by injury, ages 0-4 (% of population ages 0-4)
Gender Statistics
+5.8%
Cause of death, by injury, ages 5-14, female (% of female population ages 5-14)
Gender Statistics
+3.4%
Cause of death, by injury, ages 5-14, male (% of male population ages 5-14)
Gender Statistics
+4.7%
Cause of death, by injury, ages 5-14 (% of population ages 5-14)
Gender Statistics
+4.4%
Cause of death, by injury, ages 15-59, female (% of female population ages 15-59)
Gender Statistics
−0.1%
Cause of death, by injury, ages 15-59, male (% of male population ages 15-59)
Gender Statistics
+0.4%
Cause of death, by injury, ages 15-59 (% of population ages 15-59)
Gender Statistics
+0.8%
Cause of death, by injury, ages 60+, female (% of female population ages 60+)
Gender Statistics
+5.7%
Cause of death, by injury, ages 60+, male (% of male population ages 60+)
Gender Statistics
+6.5%
Cause of death, by injury, ages 60+ (% of population ages 60+)
Gender Statistics
+6.3%
Cause of death, by injury, female (% of female population)
Gender Statistics
+2.3%
Cause of death, by injury, male (% of male population)
Gender Statistics
+5.1%
Cause of death, by non-communicable diseases, ages 0-4, female (% of female population ages 0-4)
Gender Statistics
+3.2%
Cause of death, by non-communicable diseases, ages 0-4, male (% of male population ages 0-4)
Gender Statistics
+3.8%
Cause of death, by non-communicable diseases, ages 0-4 (% of population ages 0-4)
Gender Statistics
+3.5%
Cause of death, by non-communicable diseases, ages 5-14, female (% of female population ages 5-14)
Gender Statistics
+2.3%
Cause of death, by non-communicable diseases, ages 5-14, male (% of male population ages 5-14)
Gender Statistics
−0.7%
Cause of death, by non-communicable diseases, ages 5-14 (% of population ages 5-14)
Gender Statistics
+0.6%
Cause of death, by non-communicable diseases, ages 15-59, female (% of female population ages 15-59)
Gender Statistics
−0.1%
Cause of death, by non-communicable diseases, ages 15-59, male (% of male population ages 15-59)
Gender Statistics
−2.5%
Cause of death, by non-communicable diseases, ages 15-59 (% of population ages 15-59)
Gender Statistics
−1.5%
Cause of death, by non-communicable diseases, ages 60+, female (% of female population ages 60+)
Gender Statistics
+0.2%

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