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Urbanization in India: Population and Urban Classification Grids for 2011

Author

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  • Deborah Balk

    (CUNY Institute for Demographic Research, City University of New York, New York, NY 10010, USA
    Baruch College Marxe School of Public and International Affairs, City University of New York, New York, NY 10017, USA)

  • Mark R. Montgomery

    (Population Council, New York, NY 10017, USA
    Stony Brook University, New York, NY 11794, USA)

  • Hasim Engin

    (CUNY Institute for Demographic Research, City University of New York, New York, NY 10010, USA)

  • Natalie Lin

    (CUNY Institute for Demographic Research, City University of New York, New York, NY 10010, USA)

  • Elizabeth Major

    (CUNY Institute for Demographic Research, City University of New York, New York, NY 10010, USA)

  • Bryan Jones

    (CUNY Institute for Demographic Research, City University of New York, New York, NY 10010, USA
    Baruch College Marxe School of Public and International Affairs, City University of New York, New York, NY 10017, USA)

Abstract

India is the world’s most populous country, yet also one of the least urban. It has long been known that India’s official estimates of urban percentages conflict with estimates derived from alternative conceptions of urbanization. To date, however, the detailed spatial and settlement boundary data needed to analyze and reconcile these differences have not been available. This paper presents gridded estimates of population at a resolution of 1 km along with two spatial renderings of urban areas—one based on the official tabulations of population and settlement types (i.e., statutory towns, outgrowths, and census towns) and the other on remotely-sensed measures of built-up land derived from the Global Human Settlement Layer. We also cross-classified the census data and the remotely-sensed data to construct a hybrid representation of the continuum of urban settlement. In their spatial detail, these materials go well beyond what has previously been available in the public domain, and thereby provide an empirical basis for comparison among competing conceptual models of urbanization.

Suggested Citation

  • Deborah Balk & Mark R. Montgomery & Hasim Engin & Natalie Lin & Elizabeth Major & Bryan Jones, 2019. "Urbanization in India: Population and Urban Classification Grids for 2011," Data, MDPI, vol. 4(1), pages 1-16, February.
    • Handle: RePEc:gam:jdataj:v:4:y:2019:i:1:p:35-:d:209214
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    Cited by:

    1. Felix Rusche, 2025. "Broadcasting Change: India’s Community Radio Policy and Women’s Empowerment," Discussion Paper Series of the Max Planck Institute for Behavioral Economics 2025_05, Max Planck Institute for Behavioral Economics.
    2. Daniele Ehrlich & Sergio Freire & Michele Melchiorri & Thomas Kemper, 2021. "Open and Consistent Geospatial Data on Population Density, Built-Up and Settlements to Analyse Human Presence, Societal Impact and Sustainability: A Review of GHSL Applications," Sustainability, MDPI, vol. 13(14), pages 1-24, July.
    3. Shruti Kanga & Suraj Kumar Singh & Gowhar Meraj & Anup Kumar & Ruby Parveen & Nikola Kranjčić & Bojan Đurin, 2022. "Assessment of the Impact of Urbanization on Geoenvironmental Settings Using Geospatial Techniques: A Study of Panchkula District, Haryana," Geographies, MDPI, vol. 2(1), pages 1-10, January.
    4. Xiyu Li & Le Yu & Xin Chen, 2023. "New Insights into Urbanization Based on Global Mapping and Analysis of Human Settlements in the Rural–Urban Continuum," Land, MDPI, vol. 12(8), pages 1-23, August.

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