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Demographic debates need sanity, not crude rhetoric | Number Theory

This two-part data journalism series seeks to throw official numbers at the always simmering pot of demographic debates in India

Updated on: Aug 26, 2025, 14:11:21 IST
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The public discourse around demographics in India is usually divisive. Sometimes it is about the population as a whole, at other times, its religious composition, and still other times, the north-versus-south debate. The overall demographic paranoia is perhaps a ghost of the early years of independence, when population growth far outpaced the growth in economic resources, including food. These pages have argued in detail why India needs to get over its demographic paranoia and instead focus on exploiting its demographic

PREMIUMPTI photo via ECI (PTI)
PTI photo via ECI (PTI)
  • States have seen divergent changes in their national population shares
    A comparison of the share of provinces in population from 1951 to 2011 shows a large divergence . Delhi’s share in national population, for example, has increased 2.87 times, the highest among states and UTs with at least 1% population share in the 2011 census. However, it reached a 1% share in India’s population only in 2011. The states and UTs ranked after Delhi in terms of growth in national population share during this period are Haryana, Rajasthan, Madhya Pradesh, and Assam. But their share has increased by a multiple of just 1.33 to 1.16. On the other hand, states such as Kerala and Tamil Nadu have seen their shares fall to 0.75 and 0.71 times that in 1951. To be sure, it is worthwhile to look at change in state-wise population shares somewhat more recently. While 1981 would have been ideal, as it is the middle point between 1951 and 2011, lack of a census in Assam in 1981 makes it difficult. A comparison from 1971 to 2011 shows that the increase in population share of states like Bihar, Uttar Pradesh, and Jammu and Kashmir is faster in the 1971-2011 period compared to the 1951-2011 period, while that of Delhi is slower. Assam’s population share, on the other hand, has declined in the 1971-2011 period, compared to a growth in the 1951-2011 period.
  • But the highest growth states are not necessarily the most populous
    This might sound counter-intuitive, but this is a necessary condition for a region’s survival. If the most populous state of India at any time also grew at the fastest rate in the country, it would come under immense economic and environmental strain. This does not mean that India’s most populous states in 2011 – Uttar Pradesh, Maharashtra, Bihar, West Bengal, and Andhra Pradesh – have grown at a slow rate. It is just that they are behind the fastest growing among big states/UTs, which were Delhi, Haryana, Rajasthan, Madhya Pradesh, and Assam in the 1951-2011 period. Another way to make sense of this counter-intuitive trend is that while states such as Bihar and Uttar Pradesh have high fertility and birth rates among big states in 2011, they also figure among the top in death rates, and also have high rates of migration to other states. It is the combination of these three factors that determines the growth rate of the population. Yet another reason why the top five populous states were ranked so in 2011 is simply that all of them were among the top five even in 1951, except West Bengal, which was ranked sixth. This is unlikely to settle the north-versus-south debate on population growth because the peninsular states are at the bottom of the table of population growth even if the most populous states are not at the top. This was not always the case. Kerala and Karnataka’s population growth was faster than Bihar and Uttar Pradesh in the 1951-1971 period, and has slowed since
  • Relation between growth rate and current population is weak even at the district level
    Using the back series population data at the district level provided on the Census website, it is also possible to check population growth at the district level from 1951 to 2011. The census website has given this data for 601 out of the 640 districts in 2011. The districts for which this data is not available are in Nagaland, Arunachal Pradesh, Sikkim, and Mizoram, where this series does not exist for 1951. All of Delhi has been taken as one district here. The median compound annual growth rate (CAGR) of population in these 601 districts between 1951 and 2011 is 2.1%. As is to be expected, most of the high CAGR districts are located in the northern part of the country. However, the districts with the highest growth in population were not the most populous in 2011.
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ABOUT THE AUTHOR
Abhishek Jha

Abhishek Jha is Assistant Editor-Data at Hindustan Times. He uses statistical programming to generate newsworthy insights from large datasets. He is part of the team that produces Number Theory, a daily data story feature of the paper’s print edition. Since March 2024, he has been writing Weather Bee, a weekly column for the Hindustan Times website. He is a chemical engineer by training, who specialises in stories related to weather, climate, and the environment. Jha has been at HT since 2018, where he offers data-driven perspective and analysis on politics, environment, weather, climate, economy and society. His work includes data coverage of elections in India and abroad, including the 2019 and 2024 Lok Sabha elections; the disasters and extreme weather resulting from changing climate, such as floods, droughts, heat waves, cold waves, and dwindling snow cap in the Himalayas; the factors that drive poor air quality in northern India; the changing patterns of land use; the Covid-19 pandemic and its impact on labour market conditions; the changing pattern of consumer spending seen in the new consumer spending surveys; and social norms seen in the surveys such as the National Family Health Survey.

ABOUT THE AUTHOR
Roshan Kishore

Roshan Kishore is the Data and Political Economy Editor at Hindustan Times. He heads the newsroom's data journalism team, which produces Number Theory, a daily data-driven feature for the print edition and the HT app. Number Theory uses data analysis and story-telling based on it to add value to the newsroom’s daily coverage by putting stories in a larger context on a range of issues, including politics, macroeconomy, markets, global affairs and climate. Under his leadership HT’s data journalism work has established itself as a niche product in Indian journalism and pushed the boundaries of marrying academic rigour with news sense and speed. Along with writing and editing data stories, he has also been writing a weekly political economy column called Terms of Trade for HT Premium. A trained economist with an MPhil degree from Jawaharlal Nehru University, Kishore has also been a visiting fellow at the Centre for Advanced Studies of India (CASI) at the University of Pennsylvania. Along with his journalistic work, his writings have also appeared in journals such as the Economic and Political Weekly and working papers for CASI and UNESCAP.

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