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Since inception, National Sample Survey (NSS) is the only large-scale household survey in India, periodically collecting data on morbidity and health care conditions in the country. In these surveys, information for all members of sample households was gathered either from head or a key informant of the household. This paper aims to discuss these issues.

This study was developed to examine whether the use of proxy respondents influences population estimates of morbidity prevalence rates and factors associated with morbidity prevalence rates among adults based on latest 60th round NSS data on morbidity and health care.

The results showed that use of proxy in this survey had severely affected morbidity prevalence rates among adult persons aged 18 years and above. The result showed that use of proxy in the NSS 60th round survey had resulted in underestimation of morbidity prevalence rates among adults in such a way that overall morbidity prevalence rate was 45 per cent higher in direct interviews (148 per 1,000 adult persons) compared to those answered by proxies (81, p<0.001). There were variations in underreporting of morbidities by socio-economic and demographic characteristics of proxies but the direction of the association was the same.

The study conclude that morbidity data from the NSS can be used regardless of use of proxies and that the association between worse health condition and socio-economic and demographic factors persisted even when information was collected from a proxy. However, suitable adjustments for proxy-reporting should be made while estimating realistic population at risk from the NSS data.

This is the first manuscript that has made an attempt to examine the effect of proxy-reporting on morbidity prevalence in NSS data. Since its inception in 1955, NSS data are the only data source available in India on morbidity and health care conditions. A large number of research manuscripts have been published using this data and there were serious concerns among the researchers on data quality particularly about the reporting of health status. NSS 60th round first time provided information on reporting status, i.e. proxy vs self. In this context, the present study made an effort in this direction.

The purpose of this paper is to estimate the key socio‐economic and demographic factors influencing the utilization of antenatal care services in Ghana.

The paper utilizes the most recent Ghana Demographic and Health Survey (GDHS V) data. The dependent variable is the intensity of utilization (number) of antenatal care visits. Hence, the negative binomial regression is employed to investigate the socio‐economic and demographic correlates of the intensity of antenatal care utilization in Ghana.

The study finds that wealth status, age, ownership of health insurance (especially for rural women), educational attainment, birth order, religion and administrative region of residence are significant predictors of the intensity of antenatal care services utilization. In particular, the utilization rate increases in wealth status. The authors also found significant statistical relationship between residence and antenatal care utilization. This finding reinforces the differences in health facilities between the rural and urban areas of Ghana. The authors did not, however, find evidence for proxies for financial and physical access.

The GDHS survey lacks data on the distance to the nearest health facility where ANC is sought and a variable for the price of ANC visit. Proxies had to be used to capture these variables.

The fact that ownership of health insurance in rural areas increases the number of ANC visits makes it imperative to intensify health insurance awareness and enrollment campaigns in the rural areas so as to bridge the rural‐urban gap in ANC utilization. Also, while the free maternal health care policy for expecting mothers is laudable, a minimum level of wealth is required to induce antenatal care visitations. This is because household wealth status still plays a major role even in a free maternal health regime.

A new finding of the paper is the significant effect that ownership of health insurance has on the utilization of ANC services among rural women. While generally rural women have a lower propensity to use ANC services compared to urban women, the intensity of usage of ANC services tends to increase for rural women who own health insurance.

There is a considerable gap in the literature examining the effect of parental international migration on children’s health in Pakistan. The author aims to examine the impact of parental international labour migration on the health (anthropometric measures) of children left-behind in Pakistan.

The author investigates the impact of parental international labour migration on the health (anthropometric measures) of children left-behind in Pakistan using econometric estimation techniques and the latest wave of the Pakistan Demographic and Health Survey 2017–2018. The main child health measures the author uses include weight-for-age (WAZ) and height-for-age (HAZ) Z-scores for children under five years of age. Since unobservable factors may be vital determinants of the child nutrition outcomes, the author uses two unique instrumental variables to address the potential endogeneity problem.

The author finds that international migration improves the left-behind children’s weight-for-age and height-for-age nutritional outcomes, generating essential policy insights.

To the best of the auhtor’s knowledge, no previous study has been conducted on parental migration and left-behind children in Pakistan using the latest Demographic and Health Survey.

The Philippines experienced several demographic and socioeconomic changes in the past decades, such as rising urbanization, educational expansion, lengthening life expectancy, and increasing overseas labor migration. These changes will have significant ramifications for families and households. For example, educational expansion may delay union formation and accelerate union dissolution. Meanwhile, the joint effect of declining fertility and increasing life expectancy can lead to population aging, which has important implications for intergenerational support and the provision of care to older adults. Against this backdrop, this chapter aims to sketch a demographic portrait of the Filipino family in the past decades, using different sources, including census and survey data. Specifically, it examines trends in union formation (marriage and cohabitation) and union dissolution (divorce and separation) in the Philippines and explores Filipinos’ attitudes toward these behaviors. It also describes trends in fertility, fertility preference, and childlessness among Filipino women. Finally, it investigates changes (or lack thereof) in household size and structure in the Philippines, including the living arrangements and intergenerational support among older Filipinos.

This publication aims to document the most relevant features of the practice of female genital mutilation (FGM) in 23 African and six Arab countries. The purpose of this paper is to provide a simple presentation of current levels; the main differences, according to background characteristics; and observed trends in the last 10-15 years. Considering past, current and future demographic dynamics helps identify possible scenarios for elimination.

Data on FGM have been collected through Demographic Health Surveys since 1990, with about 50 surveys conducted in 23 countries with FGM concentrations, and through Multiple Indicator Cluster Surveys since 2000, with about 31 surveys conducted in 18 countries with prevalent FGM. Reliable data on the practice are now available for all African countries where the practice is concentrated, plus Iraq and Yemen. Statistical information is currently not available for countries where FGM has been newly identified, such as India and Indonesia.

Approximately 130 million girls have undergone FGM in countries where the practice remains prevalent. If programmatic interventions and resources remain the same or decline, over 15.2 million girls will be subject to FGM. However if the 17 target countries attain their respective annual rates of reduction, four million girls will have been protected from FGM. Demographic analysis of FGM demonstrates that it is a practice that occurs within specific socio-cultural parameters, such as place of residence, and reproductive health and status. Interventions focusing on abandonment should take into consideration gender inequalities, how manifest, exacerbating high fertility and very young populations.

Gender equality has a catalytic effect on the achievement of inclusive and progressive human development, good governance, sustained peace, and harmonious dynamics between environments and human populations – all of which are at the centre of sustainable development and human rights.

The case studies focusing on Burkina Faso and Guinea show that characteristics such as the mother’s educational level and whether or not she experienced FGM, religious background and ethnicity provide valuable information in determining who is subject to FGM and defining the milieu in which they live. This information corroborates other studies finding that ethnic and religious background are strong determinants.

Presented analysis strongly highlights the importance of data in understanding the context within which FGM programmes operate, especially those that target local communities. Djibouti, with a rapidly growing urban population, should focus on prevention programmes in cities. A highly rural country such as Guinea-Bissau will take a different approach, as only a few ethnic groups practice FGM.

This is one of the first attempts to analyse and have a better understanding of the demographic, social and economic context of the practice. It aims to highlight the population and development issues surrounding the social norms of FGM.

While the concept of vital statistics is rich in meaning, standardization of these valuable data has eluded governments, intergovernmental organizations (IGOs), non‐governmental organizations (NGOs), and demographic researchers. Primarily due to discrepancies of sociopolitical systems and availability of resources, international vital statistics are diverse and variant in terms of vital classification and registration and data processing and reporting. That said, birth, death, marriage, and divorce data are generally included in reported vital statistics. In recent decades, research institutes, universities, IGOs particularly the United Nations (UN), and NGOs have been working hard to organize, collect, and disseminate vital statistics from developing countries. This article analytically presents an overview of global patterns of vital registrations and numerations. It examines the major resources of international vital statistics, including registers, surveys, and print and digital materials. This literature presents a selection of surveys, monographs, serials, periodicals, databases, portals, and homepages based on their relevancy to information and scholarship related to international vital statistics.

Each ethnic group has its own peculiar cultural practices that may widen inequalities in child health and survival among ethnic groups. This study estimated ethnic disparities in mortality of under‐five‐year‐olds, controlling for individual and community level characteristics. Using multilevel multivariable regression analysis on a nationally representative sample drawn from 7,864 households in the 2003 Nigeria Demographic and Health Survey, we estimated the risks of deaths under‐five‐year‐olds for 6,029 children nested within 2,735 mothers aged 15‐49 years old, who were in turn nested within 365 communities. Results were expressed as odds ratios with 95% confidence intervals. The observed risk of under‐five death was highest among children of Hausa/Fulani/Kanuri mothers and lowest among children of Yoruba mothers. The mother's affiliation to the Yoruba ethnic group, compared to Hausa/Fulani/Kanuri, was still significantly associated with decreased under‐five mortality (OR = 0.66, 95% CI = 0.45 ‐ 0.96) after adjustment for individual and community level factors. Under‐five mortality was significantly related to socio‐economic and demographic factors (birth order/birth interval, mother's age, and mother's education), which explained much but not all of the ethnic disparities. Findings underscore the need for measures aimed at improving female education and the socio‐economic standard of women, changing short birth spacing norms and reducing inequitable distribution of maternal and child health services.

The paper aims to analyze the coverage of health insurance and its correlates in the north-eastern region of India.

The study accessed the raw data of the National Family Health Survey (NFHS-4) (2015–16), which was an extensive, multiround survey conducted in a representative sample of households throughout India, which included socioeconomic, demographic and information on coverage of health insurance of any member of the household. The multivariate analysis of logistic regression was adopted to find the correlates of health insurance for all the eight (8) north-eastern states of India.

The results observed that among the north-eastern states, the coverage of health insurance was highest in Arunachal Pradesh (59%) followed by Tripura (58%), Mizoram (47%) surpassing the all India level of 27%, whereas the lowest was in Manipur (4%) followed by Nagaland (6%) and Assam (10%). The multivariate analysis of logistic regression found that the socioeconomic and demographic factors, households with a bank account and below poverty line (BPL) cardholders played a significant role in the coverage of health insurance in the north-eastern states of India.

The study focuses only on the coverage and correlates of health insurance. Further evaluation studies on each scheme of the social health insurance are needed for proper assessment of the health insurance schemes in the region.

There has been evidence around the world (South Korea, Taiwan and Thailand) that health insurance could be a protective shield from the entrapment into poverty due to high health expenditure. The NFHS-4 put up the finding that in the north-eastern part of India, the coverage of health insurance had been low. This implied that the region could fall into poverty due to high medical expenses on health. Taking account of multiple health insurance providers, risk pooling and consolidation of health insurance providers have become the need of the hour.

The study is different from other studies of health insurance since it covered all the eight (8) north-eastern states of India, which are ethnically, culturally and historically distinct from the rest of India in general and within the region and states in particular and examines the impact of each of the independent variables with the dependent variables. The study has shown that the variation in health insurance coverage associated with socioeconomic and other household-level demographic attributes (although not very strong).

The current study aims to use bioecological theory to examine the effects of different contextual factors such as husbands’ desire for children, visit by a family planning worker, media messages, and province level on women’s use of contraception in Pakistan. Two cross-sectional data sets were taken from the Pakistan Demographic and Health Surveys (PDHS), conducted in 2006–07 and 2012–13, which included 3,811 and 4,871 currently married, lower socioeconomic status (SES) women aged 15–49 years, respectively. Using logistic regression, the results showed that women’s perception of a husband’s desire for children and visit by family planning workers were significant predictors of women’s use of contraception in both periods (i.e. PDHS 2006–07 and PDHS, 2012–13). Specifically, those women who had a desire for children similar to their husband were more likely to use contraception than those who either were not sure about their husband’s desire for children or whose desire for children was less or more than their husband. Moreover, those women who had at least one visit from a family planning worker during the 12 months prior to the survey were more likely to use contraception than their counterparts.

In India, the number of migrants to urban areas is increasing over time. Unlike in earlier years where male migration was prominent, recent trend shows an increasing trend of female and family migration. As migration and health status are highly correlated, the nature of relationship deserves greater attention from researchers. Although literature on internal migration in India is abundant, little attention is given to the research on the effect of migration on the health status of children. The paper aims to discuss these issues.

The present paper, based on National Family Health Survey 3 data, examines the health status of migrant and non-migrant children in the urban areas of India.

Distribution according to social and demographic characteristics is disadvantageous for urban children who are born to migrant women. As seen from various child health indicators, urban children’s health in general and the health situation of migrant women’s children in particular leaves much to be desired. Pattern of migration tends to have an impact on child health in urban areas; children of women who migrate from rural areas are in an adverse position. Duration of migration has a negative influence on health status of urban children. Overall, it was found that migration status of mothers has an independent effect on child health outcomes; children of migrant mothers have a lower health status.

This paper fulfills the need to study the health status of migrant and non-migrant children in the urban areas of India.