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1
Data from the 2011 Ethiopia Demographic and Health Survey
Data from the 2011 Ethiopia Demographic and Health Survey
Women’s Empowerment as a Determinant of Contraceptive Use in Ethiopia
Tadesse, Mekonnen, Habtamu Teklie, Gorfu Yazew, and Tesfayi Gebreselassie
ICF International
(2013)
C2
Further Analysis of the 2011 Ethiopia Demographic and Health
Survey. DHS Further Analysis Reports No. 82
Sexual and Reproductive Health of Adolescents and Youth In Nepal: Trends and Determinants
Khatiwada N., Silwal P.R., Bhadra R., and Tamang T.M.
Nepal Ministry of Health and Population, New ERA, and ICF International
(2013)
C2
Further analysis of the 2011 Nepal Demographic and Health Survey
Impact of Male Migration on Contraceptive Use, Unmet Need and Fertility in Nepal
Khanal M. N., Shrestha D.R., Panta P.D., and Mehata S.
Nepal Ministry of Health and Population, New ERA, and ICF International
(2013)
C2
Further analysis of the 2011 Nepal Demographic and Health Survey
Maternal and Child Health in Nepal: The Effects of Caste, Ethnicity, and Regional Identity
Pandey, J. P., M.R. Dhakal, S. Karki, P. Poudel, and M.S. Pradhan
Nepal Ministry of Health and Population, New ERA, and ICF International
(2013)
C2
Further analysis of the 2011 Nepal Demographic and Health Survey
FAST FACTS FROM THE 2014 CAMBODIA DEMOGRAPHIC AND HEALTH SURVEY
Data from the 2011 Ethiopia Demographic and Health Survey
FAST FACTS FROM THE 2013-14 ZAMBIA DEMOGRAPHIC AND HEALTH SURVEY
This study is a theory-driven analysis of the socio-demographic determinants of maternal care seeking in Kenya. Specifically, it examines predisposing, enabling, and need factors potentially associated with use of antenatal care (ANC), health facili
...
ty delivery, and timely postnatal care (PNC).This study uses data from the 2014 Kenya Demographic and Health Survey (KDHS) conducted among women age 15-49 with a live birth in the five years preceding the survey. It includes data from all 47 counties of Kenya, grouped contiguously into 12regions.We apply Andersen’s Behavioral Model of Health Services Use to examine socio-demographic predictors of health service use.We estimate logistic regression models for adequate use of ANC (defined as attending at least four ANC visits, starting in the first three months of pregnancy), delivery in a health facility, and PNC within 48 hours of delivery.
more
Info-graphic on Fast Facts from the 2014-15 Rwanda Demographic and Health Survey.
Census Report Volume 4-E
As no census has been undertaken in over 30 years, many aspects of the demographic situation in the country were unknown. For instance, before the Census it was thought that the country had a population of about 60 mill ... ion, but the 2014 Census showed that the population (including an estimate for under-enumeration) was 51,486,253 persons, around 8.5 million less than the previous estimate.
In the 1983 census, 35,307,913 persons were recorded. Therefore between 1983 and 2014, the population increased by 46 per cent. With an average annual population growth rate of 0.89 per cent between 2003 and 2014, Myanmar is one of the slowest growing countries in Southeast Asia. more
As no census has been undertaken in over 30 years, many aspects of the demographic situation in the country were unknown. For instance, before the Census it was thought that the country had a population of about 60 mill ... ion, but the 2014 Census showed that the population (including an estimate for under-enumeration) was 51,486,253 persons, around 8.5 million less than the previous estimate.
In the 1983 census, 35,307,913 persons were recorded. Therefore between 1983 and 2014, the population increased by 46 per cent. With an average annual population growth rate of 0.89 per cent between 2003 and 2014, Myanmar is one of the slowest growing countries in Southeast Asia. more
Demographic and Health Survey - Kyrgyz Republic
USAID; UNFPA; STAT.KG
(2013)
C2
National Statistical Committee of the Kyrgyz Republic Bishkek, Kyrgyz Republic
Ministry of Health Bishkek, Kyrgyz Republic
MEASURE DHS
ICF International Calverton, Maryland, U.S.A.
Tajikistan - Demographic and Health Survey 2017
Republic of Tajikistan; USAID; Unicef; UNFPA; TAJSTAN
(2018)
C2
Statistical Agency under the President of the Republic of Tajikistan Dushanbe, Republic of Tajikistan
Ministry of Health and Social Protection of Population of the Republic of Tajikistan
Dushanbe, Republic of Tajikistan
The DHS Program ICF
Rockville, Maryland, USA
Accessed on 31.01.2020
The Senegal Continuous Survey is designed to provide yearly data for monitoring the population and health situation in Senegal through both a Demographic and Health Survey and Service Provision Assessment. The 4th phase of
...
the five-year Continuous Survey was implemented in 2016.
more
Massoda Tonye et al. Malar J (2018) 17:156
https://doi.org/10.1186/s12936-018-2284-7
Background: In 2011, the demographic and health survey (DHS) in Cameroon was combined with the multiple indicator
cluster survey. Malaria parasitological data
...
were collected, but the survey period did not overlap with the high
malaria transmission season. A malaria indicator survey (MIS) was also conducted during the same year, within the
malaria peak transmission season. This study compares estimates of the geographical distribution of malaria parasite
risk and of the effects of interventions obtained from the DHS and MIS survey data.
more
Levels and Inequities
DHS Further Analysis Reports No. 110
This study shows large variations in maternal health indicators across high-priority counties in Kenya. Nairobi exceeds the national average on all maternal health indicators in this study, while other highpriority counties consist ... ently are disadvantaged compared with Kenya as a whole in most maternal health indicators. Kisumu exceeds the national average in use of antenatal care, delivery in a health facility, and postnatal care, but not other indicators. Nakuru has fewer women with fertility risk and fewer women who report that the distance they must travel to reach a health facility is a problem.
This study identifies a number of inequities in maternal health indicators across socio-demographic characteristics in the high-priority counties—most in the distribution of delivery care and least in antenatal care. Inequities are also observed in fertility risk and postnatal care. more
DHS Further Analysis Reports No. 110
This study shows large variations in maternal health indicators across high-priority counties in Kenya. Nairobi exceeds the national average on all maternal health indicators in this study, while other highpriority counties consist ... ently are disadvantaged compared with Kenya as a whole in most maternal health indicators. Kisumu exceeds the national average in use of antenatal care, delivery in a health facility, and postnatal care, but not other indicators. Nakuru has fewer women with fertility risk and fewer women who report that the distance they must travel to reach a health facility is a problem.
This study identifies a number of inequities in maternal health indicators across socio-demographic characteristics in the high-priority counties—most in the distribution of delivery care and least in antenatal care. Inequities are also observed in fertility risk and postnatal care. more
The Fifth Integrated Household Living Survey (EICV5) was conducted from October 2016 to October 2017, and is designed to provide accurate and up-to-date information that are useful to government, analysts and the public as they seek to monitor and evaluate efforts to reduce poverty.
This report pre
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sents and discusses key results from the EICV5 in the areas of demographic characteristics, migration, health, education, the characteristics of households and dwellings in Rwanda, economic activity patterns, environmental issues and households' access to credits and savings.
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