"How do you see India? Fuelled by a surge of migration to cities, the country's growth appears to be defined by urbanisation and by its growing, prosperous middle class. It is also defined by progressive and liberal young Indians, who vote beyond the constraints of identity, and paradoxically, by an unchecked population explosion and rising crimes against women. Is it, though? In 2020, the annual population growth was down to under 1 per cent. Only thirty-one of hundred Indians live in a city today and just 5 per cent live outside the city of their birth. As recently as 2016, only 4 per cent of young, married respondents in a survey said their spouse belonged to a different caste group. Over 45 per cent of voters said in a pre-2014 election survey that it was important to them that a candidate of their own caste wins elections in their constituency. A large share of reported sexual assaults across India are actually consensual relationships criminalised by parents. And staggeringly, spending more than Rs 8,500 a month puts you in the top 5 per cent of urban India. Data-journalism pioneer Rukmini S. draws on nearly two decades of on-ground reporting experience to piece together a picture that looks nothing like the one you might expect. There is a mountain of data available on India, but it remains opaque, hard to access and harder yet to read, and it does not inform public conversation. Rukmini marshals this information - some of it never before reported - alongside probing interviews with experts and ordinary citizens, to see what the numbers can tell us about India. As she interrogates how data works, and how the push and pull of social and political forces affect it, she creates a blueprint to understand the changes of the last few years and the ones to come - a toolkit for India."-- dust jacket.

In May 2016, the Health Secretaries of the States and Union Territories of India gathered in the capital and issued “The Delhi Commitment on Sustainable Development Goals for Health”. Among others, the document acknowledged the need to invest in health data collection, analysis and research so that these can properly inform government policies and strategies necessary to address the various challenges facing India’s healthcare. Such commitment is imperative, given that the success of global SDGs over the next 15 years will largely depend on India’s performance. Measuring progress closely to ensure mid-course corrections when needed should be key to India’s health strategy. To examine the issues related to insufficient, district-level data for customised and evidence-based planning, the Observer Research Foundation organised a panel discussion in July 2016, bringing together experts in the field. This paper builds on the key themes discussed by the panel, and from these, draws policy lessons for the road ahead.

In 2011 the World Bank—with funding from the Bill and Melinda Gates Foundation—launched the Global Findex database, the world's most comprehensive data set on how adults save, borrow, make payments, and manage risk. Drawing on survey data collected in collaboration with Gallup, Inc., the Global Findex database covers more than 140 economies around the world. The initial survey round was followed by a second one in 2014 and by a third in 2017. Compiled using nationally representative surveys of more than 150,000 adults age 15 and above in over 140 economies, The Global Findex Database 2017: Measuring Financial Inclusion and the Fintech Revolution includes updated indicators on access to and use of formal and informal financial services. It has additional data on the use of financial technology (or fintech), including the use of mobile phones and the Internet to conduct financial transactions. The data reveal opportunities to expand access to financial services among people who do not have an account—the unbanked—as well as to promote greater use of digital financial services among those who do have an account. The Global Findex database has become a mainstay of global efforts to promote financial inclusion. In addition to being widely cited by scholars and development practitioners, Global Findex data are used to track progress toward the World Bank goal of Universal Financial Access by 2020 and the United Nations Sustainable Development Goals. The database, the full text of the report, and the underlying country-level data for all figures—along with the questionnaire, the survey methodology, and other relevant materials—are available at www.worldbank.org/globalfindex.

This paper examines the determinants of female labor force participation in India, against the backdrop of India having one of the lowest participation rates for women among peer countries. Using extensive Indian household survey data, we model the labor force participation choices of women, conditional on demographic characteristics and education, as well as looking at the influence of state-level labor market flexibility and other state policies. Our main finding is that a number of policy initiatives can help boost female economic participation in the states of India, including increased labor market flexibility, investment in infrastructure, and enhanced social spending.

India, like most democratic developing nations, is prone to populist politics. In the search of votes, politicians look for popular solutions with mass appeal. Some popular solutions benefit the poor, some hurt the economy. Poor economics leads to falling numbers. Falling numbers get statistically captured as economic data. And, the impact of such economic data is immense. This data can lift or crash currency markets, stock markets, affect credit ratings, fuel inflation, affect new investments and even result in mass layoffs. However, there is always a story behind the data. These stories are guided mostly by executive decisions. Some decisions are far-reaching and beneficial to the masses, some cater to political vote banks, some are guided by increasing activism, some serve the need for social justice, some are aimed at environmental protection, while some are simply driven by the greed of power or wealth. This is the story of every regime. The book narrates this compelling data story in a layman's language. Even where data is wrong it leaves behind a tell-tale mark of anomalies, which trips the economy sooner than later. Fudged, incorrect or lazily collected data is worse than genuine but unimpressive data as you do not know what to correct. India Emerging thus captures this dialogue on the pros and cons of economic and political decisions that can be understood by the common voter who is neither an economist nor an academician.