This Data Note provides an update on the prevalence of anemia and its determinants in India at state and districts levels, as well as coverage of a nutrition specific and nutrition sensitive interventions. Data were from the National Family Health Surveys in 2005 06, 2015 2016 and 2019 21. We first report national trends for 8 population groups (Figure 1 below). For each population group, we show anemia prevalence by severity category and at state and district levels using the two latest rounds of data. Lastly, we show recent trends in determinants of anemia and, nutrition and health interventions.

In the United States, some populations suffer from far greater disparities in health than others. Those disparities are caused not only by fundamental differences in health status across segments of the population, but also because of inequities in factors that impact health status, so-called determinants of health. Only part of an individual's health status depends on his or her behavior and choice; community-wide problems like poverty, unemployment, poor education, inadequate housing, poor public transportation, interpersonal violence, and decaying neighborhoods also contribute to health inequities, as well as the historic and ongoing interplay of structures, policies, and norms that shape lives. When these factors are not optimal in a community, it does not mean they are intractable: such inequities can be mitigated by social policies that can shape health in powerful ways. Communities in Action: Pathways to Health Equity seeks to delineate the causes of and the solutions to health inequities in the United States. This report focuses on what communities can do to promote health equity, what actions are needed by the many and varied stakeholders that are part of communities or support them, as well as the root causes and structural barriers that need to be overcome.

This book offers a comprehensive exploration of child well-being within the context of Indian states, focusing on the progress made in eight Sustainable Development Goals (SDG) targets. What sets this book apart is its unique perspective, as it delves into the well-being of children, examining their experiences across six key dimensions: child poverty and deprivation, anthropometric failure and undernutrition, child health and healthcare services, quality education, violence and gender equity, and overall child well-being. The book relies on data from various data sources such as the National Family Health Survey, Unified District Information System, and National Crime Records Bureau statistics. The child well-being score is calculated following the UNDP methodology, enabling a ranking of states and districts in terms of their progress between 2015-16 and 2019-21. In addition to rigorous quantitative analysis, the book delves into the implications of key policies like the National Education Policy, National Health Policy, social protection schemes, and Poshan Abhiyan on child development and their role in achieving SDG targets. It systematically compares the performance of Indian states in relation to SDG targets, using child-specific indicators, making this book truly unique. It incorporates more than 30 child-related indicators, spanning the eight child-specific SDGs selected for analysis. The child well-being achievement score from 2015-16 serves as a baseline for assessing the progress toward SDG goals. The indicators presented in this book serve as valuable tools for tracking SDG progress and sustainably monitoring child well-being at the state level. Ultimately, the book not only reveals the depth of deprivations but also provides a roadmap for region-specific priority areas, strongly advocating for child-centric policy interventions. This book will be useful for the academicians, policy makers, government officials, civil bodies, NGOs and other research communities including doctoral researchers who are working in the field of child wellbeing.

Malnutrition is endemic in India. In 2015-16 some 38% of preschool children were stunted and 21% were wasted, while more than half of Indian mothers and children were anemic. There are many posited explanations for the high rates of malnutrition in India, but surprisingly few discuss the role of Indian diets, particularly the affordability of nutritious diets given low wages and the significant structural problems facing India’s agricultural sector. This study was undertaken to address knowledge gaps around the affordability of nutritious diets in rural India. To do so we used nationally representative rural price and wage data to estimate the least cost means of satisfying India-specific dietary recommendations, referred to as the Cost of a Recommended Diet (CoRD), and assess the affordability of this diet relative to male and female wages for unskilled laborers. Although we find that dietary costs increased substantially over 2001-2011 for both men and women, rural wage rates increased more rapidly, implying that nutritious diets became substantially more affordable over time. However, in absolute terms nutritious diets in 2011 were still expensive relative to unskilled wages, constituting approximately 50-60% of male and about 70-80% of female daily wages, and were often even higher relative to minimum wages earned from the Mahatma Gandhi National Rural Employment Guarantee Act (MGNREGA). Since many poor households have significant numbers of dependents and substantial non-food expenditure requirements, it follows that nutritious diets are often highly unaffordable for the rural poor; we estimate that 45-64% of the rural poor cannot afford a nutritious diet that meets India’s national food-based dietary guidelines. Our results point to the need to more closely monitor food prices through a nutritional lens, and to shift India’s existing food policies away from their heavy bias towards cereals. Achieving nutritional security in India requires a much more holistic focus on improving the affordability of the full range of nutritious food groups and ensuring that economic growth results in sustained income growth for the poor.

Data systems and their usage are of great significance in the process of tracking malnutrition and improving programs. The key elements of a data system for nutrition include (1) data sources such as survey and administrative data and implementation research, (2) systems and processes for data use, and (3) data stewardship across a data value chain. The nutrition data value chain includes the prioritization of indicators, data collection, curation, analysis, and translation to policy and program recommendations and evidence based decisions. Finding the right fit for nutrition information systems is important and must include neither too little nor too much data; finding the data system that is the right fit for multiple decision makers is a big challenge. Developed together with NITI Aayog, this document covers issues that need to be considered in the strengthening of efforts to improve the availability and use of data generated through the work of POSHAN Abhiyaan, India’s National Nutrition Mission. The paper provides guidance for national-, state-, and district-level government officials and stakeholders regarding the use of data to track progress on nutrition interventions, immediate and underlying determinants, and outcomes. It examines the availability of data across a range of interventions in the POSHAN Abhiyaan framework, including population-based surveys and administrative data systems; it then makes recommendations for the improvement of data availability and use. To improve monitoring and data use, this document focuses on three questions: what types of indicators should be used; what types of data sources can be used; and with what frequency should progress on different indicator domains be assessed.

In many statistical applications, scientists have to analyze the occurrence of observed clusters of events in time or space. Scientists are especially interested in determining whether an observed cluster of events has occurred by chance if it is assumed that the events are distributed independently and uniformly over time or space. Scan statistics have relevant applications in many areas of science and technology including geology, geography, medicine, minefield detection, molecular biology, photography, quality control and reliability theory and radio-optics.