34.7
India: Prevalence of stunting, height for age (% of children under 5) -3.2 Novembre 29, 2020

India: Prevalence of stunting, height for age (% of children under 5)

Nom
(Google Translate)

Prevalence of stunting, height for age (% of children under 5)

Méthode d'agrégation
(Google Translate)

Linear mixed-effect model estimates

Catégorie ...
Région
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Южная Азия

Pays
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India

Statistiques: Prevalence of stunting, height for age (% of children under 5)

Périodicité Annual
Date 1989 - 2017
Valeur précédente 37.9 (2015)
Valeur 34.7 (2017)

Définition: Prevalence of stunting, height for age (% of children under 5)

(Google Translate)

Prevalence of stunting is the percentage of children under age 5 whose height for age is more than two standard deviations below the median for the international reference population ages 0-59 months. For children up to two years old height is measured by recumbent length. For older children height is measured by stature while standing. The data are based on the WHO's new child growth standards released in 2006.

Programme - India: Prevalence of stunting, height for age (% of children under 5) (1989 - 2017)

Pertinence du développement: Prevalence of stunting, height for age (% of children under 5)

(Google Translate)

Reproductive health is a state of physical and mental well-being in relation to the reproductive system and its functions and processes. Means of achieving reproductive health include education and services during pregnancy and childbirth, safe and effective contraception, and prevention and treatment of sexually transmitted diseases. Complications of pregnancy and childbirth are the leading cause of death and disability among women of reproductive age in developing countries. The share of births attended by skilled health staff is an indicator of a health system's ability to provide adequate care for pregnant women.

Limitations et exclusions: Prevalence of stunting, height for age (% of children under 5)

(Google Translate)

The methodology differs from that used for previous estimates, so data should not be compared historically. Maternal mortality ratios are generally of unknown reliability, as are many other cause-specific mortality indicators. The ratios cannot be assumed to provide an exact estimate of maternal mortality.

Concept statistique et méthodologie: Prevalence of stunting, height for age (% of children under 5)

(Google Translate)

Reproductive health is a state of physical and mental well-being in relation to the reproductive system and its functions and processes. Means of achieving reproductive health include education and services during pregnancy and childbirth, safe and effective contraception, and prevention and treatment of sexually transmitted diseases. Complications of pregnancy and childbirth are the leading cause of death and disability among women of reproductive age in developing countries. Maternal mortality is generally of unknown reliability, as are many other cause-specific mortality indicators. Household surveys such as Demographic and Health Surveys attempt to measure maternal mortality by asking respondents about survivorship of sisters. The main disadvantage of this method is that the estimates of maternal mortality that it produces pertain to any time within the past few years before the survey, making them unsuitable for monitoring recent changes or observing the impact of interventions. In addition, measurement of maternal mortality is subject to many types of errors. Even in high-income countries with reliable vital registration systems, misclassification of maternal deaths has been found to lead to serious underestimation. The estimates are based on an exercise by the Maternal Mortality Estimation Inter-Agency Group (MMEIG) which consists of World Health Organization (WHO), United Nations Children's Fund (UNICEF), World Bank, and United Nations Population Fund (UNFPA), and include country-level time series data. For countries without complete registration data but with other types of data and for countries with no data, maternal mortality is estimated with a regression model using available national maternal mortality data and socioeconomic information.