Part 1 of this series titled Hotspots in the Hindi Belt, Part 1 – the Northern Arc lays out the areas where demographics are changing rapidly in India. In Part 2, we discussed the take away messages from this study. In this final and concluding section, we discuss the statistical details of our projections and draw Conclusions.
Section C: Statistical Details of Projections for Religious Demography
or all the districts that have been named, we have computed the growth rates across different communities of significance using the constant growth, the polynomial and the logistic models. We have analysed the results of all the three techniques separately.
Section C.1: Constant Growth Model
In the constant growth model, we have assumed that the average growth over the last 2 decades for the different communities will hold in future and have predicted the populations based on those numbers. The populations of the various communities in the various districts have been shown above.
In the above graphs, it can be seen that Hindus fall below the 50% mark in both Purnea and Santhal Parganas. The collapse of Hindus in Santhal Paraganas is catastrophic. From 90% in 1951, Hindus are set to fall to 42% in 2061, a collapse of nearly 50 percentage points in 100 years. Both Christians and Muslims are growing by leaps and bounds in the district. Gurgaon and Bahraich-Gonda are also seeing the Muslim population percentage essentially doubling in 100 years.
Section C.2: Polynomial Model
In the polynomial model, we have fitted a cubic polynomial, minimising the square error for the different communities. The cubic model can more accurately model the rapid rises and fall in the changes.
In the polynomial model, only the Purnea district will be Hindu minority by 2061. In the case of the Bahraich-Gonda and Purnea, the constant growth model and the polynomial model agree more or less. In the case of the Santhal Parganas, the polynomial model puts the Hindu population much higher (nearly 11%) higher than the constant growth model. This, we believe, is a more accurate representation since once all the tribals have been converted (it is tribals who are converting, for the most part) in the region, the rate of growth of Christian population will subside. In the case of Gurgaon, since the growth is inorganic in the case of the Hindus (most growth is occurring via immigration than via natural growth), the polynomial model overestimates the Hindu population.
Section C.3: Logistic Model
In this logistic model, we try to fit a logistic curve to the data points, minimising the square error in the process. We do not believe that this technique is a good fit for the region that is showing rapid changes in populations like Gurgaon or Santhal Parganas (See reasons given in ) . However, for the sake of completeness, we have included this technique in our examination too. The logistic model may be considered a lower bound on the changes possible.
In the logistic model, we can see that Purnea becomes Muslim majority in 2051, but other regions have a Hindu population ranging from 60.1% in Santhal Parganas to 70.7% in Gurgaon. The population of Santhal Parganas shows a massive drop in this model too. Gurgaon also shows a sharp drop, with the Muslim population expanding from 16% in 1951 to 29% in 2061 and Bahraich shows a Muslim population rise from 20% in 1951 to 35% in 2061.
We have shown the number of pockets in the Hindi heartland where the Hindus are falling sharply and may well become minorities either in entire districts like old Purnea and old Santhal Parganas or local minorities in Balrampur, Mewat, etc. We have also shown the serious security implications and the possible formation of a Mughalistan corridor. Finally, we have shown the possible isolation of parts of the country from others.
1. Text in Blue points to additional data on the topic.
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 CZ Guilmoto and I. Rajan, “Fertility at District Levels in India: Lessons from the 2011 census”, http://www.ceped.org/IMG/pdf/ceped_wp30.pdf
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 Shanmukh, Dikgaj and Saswati Sarkar, “A Demographic Warning for West Bengal”, https://www.myind.net/demographic-warning-west-bengal
 Shanmukh, Saswati Sarkar, Dikgaj and Aparna, “Will Assam be Muslim Majority in the next 40 years?” http://indiafacts.org/will-assam-muslim-majority-next-40-years/
 Shanmukh, Saswati Sarkar, Dikgaj, and Aparna, “Kerala and South Tamil Nadu – A Case of Hindu Fade out” http://indiafacts.org/kerala-south-tamil-nadu-case-hindu-fade/
 Shanmukh, Vikram, Aparna, Saswati Sarkar, and Dikgaj, “The Demographic expansion of Kashmir and the shrinking of Jammu and Ladakh” https://www.myind.net/demographic-expansion-kashmir-and-shrinking-jammu-and-ladakh#.V3UOVSF0xwc.twitter
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Aparna is an electrical design engineerin North America.Her interests include Indian history,politics,Yoga and cooking.
Vikram is a computer science engineer. His hobbies include the design and analysis of algorithms, Indian history and Proto-Indo-European linguistics
Arihant is an allopathic physician with interests focused on medicine, history, religion, politics, the multiple ways in which they intersect and influence society, and how this intersection can be tapped to design effective policies.
Saswati Sarkar is a professor in the electrical and systems engineering department of the University of Pennsylvania. She authors articles on socio-politics and history of India. Her articles on topics other than those related to her professional expertise are expressed in personal capacity.
Dikgaj is an academic mathematician with research interests in game theory, computer science and quantitative applications in humanities, and blogs on history of subcontinent and politics of religion, imperialism, current affairs.
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