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The purpose of this paper is to compare the new Census 2011 results with the results of the previous Censuses and assess the progress in trends of population growth, literacy rate, and sex ratio imbalance and also to highlight the critical socioeconomic issues based on short‐term trends and patterns.

The paper is structured in a “commentary and perspective” format. The paper assesses key demographic and socioeconomic features of India's population using 2011 Census data, and compares progress in population and social trends with the results of previous Censuses. The paper also uses data from the National Family Health Survey (2005‐2006) and the United Nations World Population Prospects (2008) to complement Census results and understand the underlying reasons for the progress or deterioration in critical demographic and socioeconomic indicators.

The provisional results of the 2011 Census data reveal a mixed bag of insights. On the positive side, there has been steady progress in population stabilization and a swift ascent in female literacy since 1991. These encouraging trends, among others, represent major driving forces of demographic and economic returns for India in the coming decades. However, on the negative side, the 2011 Census reveals a deplorable deterioration in the female‐male ratio of the child population aged 0‐6 years, despite India's enforcement of targeted policy measures following the 2001 Census. The country needs to take careful stock of this issue, as its advancing demographic transition and changing socioeconomic circumstances are rapidly translating into an adverse trend of girl child discrimination.

This study compares India's most recent two Censuses and provides original analytical insights into India's progress in population stabilization and development, and the setbacks it faces in terms of gender inequalities. Region and state‐wise analyses are additional contributions based on disaggregated state level data from the recent two Censuses.

The level of mother’s health knowledge influences not only her health, but also significantly predicts her children’s health and medical care, and spending on medical care. This relationship has not yet been empirically assessed in India. The purpose of this paper is to measure the level of health knowledge of mothers in India and its association with the short-term illness in their children, medical care and medical care expenditure.

The authors used data from India Human Development Survey, 2004-2005. An index of “health knowledge” was constructed by using factor analysis. Multivariate binary logistic regression, multinomial logistic regression and multiple classification analysis were employed to analyze the relationship between mother’s health knowledge and child illness. Pearson’s χ2 test and ANOVA test were used to estimate levels of statistical significance in bivariate analyses.

The results revealed that children of mothers with medium and high-health knowledge were significantly less likely to have short-term illness (OR=0.390, p < 0.01 and OR=0.543, p < 0.01) than those children whose mothers had no or low-health knowledge (OR=1.00, p < 0.01) cutting across all background characteristics. Similarly, the attainment of modern medical care for short-term illness of children was nearly two times greater (OR=1.97, p < 0.05) in mothers with higher health knowledge as compared to mothers with no or low-health knowledge (OR=1.00, p < 0.01). The results also showed that mothers with higher health knowledge spent more on medical care for their children’s short-term illness than mothers with no and low-health knowledge.

The findings suggested a significant effect of mother’s health knowledge on the prevalence of short-term illness among their children, medical care and expenditure on the medical care. Appropriate health knowledge for women is crucial to the wellbeing of their children. Besides, social equity in terms of the distribution of facilities, to gain health knowledge and medical care, are essential to be established in India.

To the knowledge, this study is the first attempt to measure the health knowledge of women in reproductive age and its association with the prevalence of short-term illness, medical care and medical expenditure of their children in India. In general, a health knowledge index could be a significant composite predictor of the health in a population.

The purpose of this paper is to examine the linkages of employment, chronic disease prevalence and medical care of the older population in India.

This study used the India Human Development Survey data for the analysis. Bivariate, multinomial logit regression and multiple classification analysis are used as methods for the study.

The findings suggest a bi-directional relationship between employment and chronic diseases: the older population who are engaged in regular paid work has lower likelihood to the risk of chronic diseases compared to those who are not working. Conversely, the older population with chronic diseases may be unable to work in regular paid jobs. The greater proportions of not-working older population with savings and retirement pensions are more likely to seek modern treatment for the chronic diseases. Overall, the results foster that employment determines and is determined by chronic disease prevalence among the older population in India.

This paper for the first time presents evidence on the linkages of employment, chronic disease prevalence and medical care of the older population in India by using a unique and comprehensive data source.

The purpose of this paper is threefold: first, to measure the health inequalities among malnourished children; second, to decompose the health inequalities to identify key socioeconomic predictors for child malnutrition; and third, to assess the change in the proportional contribution of key predictors over time.

The study has used data of National Family Health Survey (NFHS) conducted in 1992-1993, 1998-1999 and 2005-2006. The information on anthropometric indicators for children below three years of age is provided; however the study is restricted to “weight-for-age,” as it is considered to be a comprehensive indicator of child nutritional status. In the first stage of analysis, health inequalities are measured among malnourished children using concentration indices (CI) for each round of NFHS. In second stage, the inequalities are decomposed to estimate the proportional contribution of socioeconomic predictors. In the third stage, change in the relative contribution of socioeconomic predictors over three rounds is assessed to suggest target-specific policies and programs.

The results highlight a slow decline of only seven percentage points in the proportion of malnourished children in India during 1992-2006. The increasing values of CIs from −0.13 (1992) to −0.18 (2006) demonstrates the concomitant rise in economic inequalities among malnourished children. The results of decomposition analysis point toward household poor economic status and mother’s illiteracy as the major contributor of inequalities during 1992-2006. During the study period, the economic status explained 50, 65 and 59 percent of inequalities, whereas mother’s illiteracy explained 40, 30 and 29 percent of inequalities, respectively. Overall, the contributors to health inequalities remained the same over time with a change in their relative contribution.

The present study is focussed on three rounds of NFHS data conducted at different time period and so it has certain limitations which should be kept in mind while interpreting the results. The study has revealed mother’s education and economic status of the household as the major contributory factors toward child health inequalities. However, one should not forget that the level and quality of education has undergone tremendous change from 1992 to 2006 which the authors could not capture considering the availability of data in the form of years of schooling. Second, since the NFHS-1 has collected the information about the caste groups in only three categories, i.e. schedule caste, schedule tribe and others; the authors have to pool the other backward caste groups with the general caste groups. Third, the authors have used the broad classification of place of residence, i.e. rural and urban area to analyze the inequalities assuming the uniform level of development across the urban regions; however there exists huge disparities within urban areas which leave scope for further research. Fourth, though, the authors have estimated the wealth based inequalities, but NFHS does not provide the absolute level of wealth and so the authors have computed the proxy measure for wealth based on the household assets which has been extensively used in the field of research. Despite these limitations, the authors however believe that the present research work has appropriately decomposed the inequalities among malnourished children and have revealed the changes in the proportional contribution of socioeconomic factors over time.

The decomposition analysis brought into light that average health indicators are insufficient for determining the right approach to health intervention programs. Health policy interventions have to focus ideally on both health averages and within and between group inequalities based on varying contributions of socioeconomic determinants.

Concentrated efforts along with the inter-sectoral concurrence, good nutrition governance, effective investment and unequal distribution of resources are pre-requisites to ameliorate the level and existing inequalities in child malnutrition in India.

The distinctiveness of this study can be primarily found in the use of all three rounds of NFHS data to estimate health inequalities among underweight children. The study has also decomposed the health inequalities to estimate and analyze the change in relative contribution of socioeconomic predictors for each round to facilitate the formulation of target-specific policies and programs.