Demographic and Health Surveys and PMA2020

Shortcuts: Differences, Similarities, Jaccard Similarity Coefficient, References.

Difference between Demographic and Health Surveys and PMA2020

Demographic and Health Surveys vs. PMA2020

The Demographic and Health Surveys (DHS) Program is responsible for collecting and disseminating accurate, nationally representative data on health and population in developing countries. Performance Monitoring and Accountability 2020 (PMA2020) is a household and facility survey for Family Planning and Water and Sanitation in Burkina Faso, DR Congo (Kinshasa and Kongo Central), Ethiopia, Ghana, India (Rajasthan), Indonesia, Kenya, Niger, Nigeria, and Uganda.

Similarities between Demographic and Health Surveys and PMA2020

Demographic and Health Surveys and PMA2020 have 2 things in common (in Unionpedia): Maternal health, Multiple Indicator Cluster Surveys.

Maternal health

Maternal health is the health of women during pregnancy, childbirth, and the postpartum period.

Demographic and Health Surveys and Maternal health · Maternal health and PMA2020 · See more »

Multiple Indicator Cluster Surveys

The Multiple Indicator Cluster Surveys (MICS) are household surveys implemented by countries under the programme developed by the United Nations Children's Fund to provide internationally comparable, statistically rigorous data on the situation of children and women.

Demographic and Health Surveys and Multiple Indicator Cluster Surveys · Multiple Indicator Cluster Surveys and PMA2020 · See more »

The list above answers the following questions

What Demographic and Health Surveys and PMA2020 have in common
What are the similarities between Demographic and Health Surveys and PMA2020

Demographic and Health Surveys and PMA2020 Comparison

Demographic and Health Surveys has 39 relations, while PMA2020 has 6. As they have in common 2, the Jaccard index is 4.44% = 2 / (39 + 6).

References

This article shows the relationship between Demographic and Health Surveys and PMA2020. To access each article from which the information was extracted, please visit:

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