IDEAS home Printed from https://ideas.repec.org/a/plo/pwat00/0000409.html
   My bibliography  Save this article

Analyzing changes in types of household sanitation among 543 Parliamentary Constituencies between 2016 and 2021 in India

Author

Listed:
  • Anoop Jain
  • Rockli Kim
  • S V Subramanian

Abstract

In India, the share of households with access to an improved private toilet has increased considerably over the past few decades. However, there are other types of toilets that households often rely on, such as unimproved toilets or shared toilets. And in many cases, households in India still do not have a toilet. This paper provides sub-national prevalence estimates for each of these toilet types across India’s 543 Parliamentary Constituencies (PCs) in 2016 and 2021 and highlights the PCs where the prevalence either increased or decreased. We used a Monte Carlo Markov Chain procedure to derive these estimates. Overall, we found considerable variation between PCs for each of the four toilet types. We also found that in the majority of PCs, the share of no-toilet households decreased by more than 9.99 percentage points between 2016 and 2021, while the share of improved private toilets increased by more than 9.99 percentage points over the same period. The PC-level prevalence of unimproved and shared toilets was similar in 2016 and 2021. Lessons from high-performing PCs should be studied and applied to PCs where the prevalence of no-toilet households remains high. Furthermore, PCs where the share of unimproved toilets remains high should implement policies to help households transition to improved toilets. This is especially important in mountainous areas. In areas where households rely on shared toilets, such as dense urban settlements, policy makers should implement strategies for ensuring these facilities are kept clean and well-maintained.

Suggested Citation

  • Anoop Jain & Rockli Kim & S V Subramanian, 2025. "Analyzing changes in types of household sanitation among 543 Parliamentary Constituencies between 2016 and 2021 in India," PLOS Water, Public Library of Science, vol. 4(8), pages 1-13, August.
  • Handle: RePEc:plo:pwat00:0000409
    DOI: 10.1371/journal.pwat.0000409
    as

    Download full text from publisher

    File URL: https://journals.plos.org/water/article?id=10.1371/journal.pwat.0000409
    Download Restriction: no

    File URL: https://journals.plos.org/water/article/file?id=10.1371/journal.pwat.0000409&type=printable
    Download Restriction: no

    File URL: https://libkey.io/10.1371/journal.pwat.0000409?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Germáan Rodríguez & Noreen Goldman, 1995. "An Assessment of Estimation Procedures for Multilevel Models with Binary Responses," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 158(1), pages 73-89, January.
    2. Günther, Isabel & Niwagaba, Charles B. & Lüthi, Christoph & Horst, Alexandra & Mosler, Hans-Joachim & Tumwebaze, Innocent K., 2012. "When is shared sanitation improved sanitation? - The correlation between number of users and toilet hygiene," MPRA Paper 45830, University Library of Munich, Germany.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Xiushi Yang, 2000. "Determinants of Migration Intentions in Hubei Province, China: Individual versus Family Migration," Environment and Planning A, , vol. 32(5), pages 769-787, May.
    2. Dario Meili & Vasco Schelbert & Mahbub-Ul Alam & Prince Antwi-Agyei & Sheillah Simiyu & Kwaku Amaning Adjei & Bismark Dwumfour-Asare & Mahbubur Rahman & Christoph Lüthi & Isabel Günther, 2022. "Indicators for Sanitation Quality in Low-Income Urban Settlements: Evidence from Kenya, Ghana, and Bangladesh," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 162(2), pages 683-720, July.
    3. Renard, Didier & Molenberghs, Geert & Geys, Helena, 2004. "A pairwise likelihood approach to estimation in multilevel probit models," Computational Statistics & Data Analysis, Elsevier, vol. 44(4), pages 649-667, January.
    4. repec:pri:crcwel:wp98-20-teitler is not listed on IDEAS
    5. repec:plo:pone00:0044410 is not listed on IDEAS
    6. Amoroso, S., 2013. "Heterogeneity of innovative, collaborative, and productive firm-level processes," Other publications TiSEM f5784a49-7053-401d-855d-1, Tilburg University, School of Economics and Management.
    7. Chun Wang & Steven W. Nydick, 2020. "On Longitudinal Item Response Theory Models: A Didactic," Journal of Educational and Behavioral Statistics, , vol. 45(3), pages 339-368, June.
    8. Gustavo Angeles & David K. Guilkey & Thomas A. Mroz, 2005. "The Impact of Community-Level Variables on Individual-Level Outcomes," Sociological Methods & Research, , vol. 34(1), pages 76-121, August.
    9. Anne Pebley & Noreen Goldman & Germán Rodríguez, 1996. "Prenatal and delivery care and childhood immunization in guatemala: Do family and community matter?," Demography, Springer;Population Association of America (PAA), vol. 33(2), pages 231-247, May.
    10. Mangham-Jefferies, Lindsay & Hanson, Kara & Mbacham, Wilfred & Onwujekwe, Obinna & Wiseman, Virginia, 2014. "What determines providers' stated preference for the treatment of uncomplicated malaria?," Social Science & Medicine, Elsevier, vol. 104(C), pages 98-106.
    11. Sun-Joo Cho & Paul Boeck & Susan Embretson & Sophia Rabe-Hesketh, 2014. "Additive Multilevel Item Structure Models with Random Residuals: Item Modeling for Explanation and Item Generation," Psychometrika, Springer;The Psychometric Society, vol. 79(1), pages 84-104, January.
    12. Fiona Steele & Ian Diamond & Duolao Wang, 1996. "The determinants of the duration of contraceptive use in China: A multilevel multinomial discrete-hazards mdeling approach," Demography, Springer;Population Association of America (PAA), vol. 33(1), pages 12-23, February.
    13. Patrali Chatterjee & Donna L. Hoffman & Thomas P. Novak, 2003. "Modeling the Clickstream: Implications for Web-Based Advertising Efforts," Marketing Science, INFORMS, vol. 22(4), pages 520-541, May.
    14. Diaz, Rafael E., 2007. "Comparison of PQL and Laplace 6 estimates of hierarchical linear models when comparing groups of small incident rates in cluster randomised trials," Computational Statistics & Data Analysis, Elsevier, vol. 51(6), pages 2871-2888, March.
    15. repec:jss:jstsof:08:i09 is not listed on IDEAS
    16. An, Xinming & Bentler, Peter M., 2012. "Efficient direct sampling MCEM algorithm for latent variable models with binary responses," Computational Statistics & Data Analysis, Elsevier, vol. 56(2), pages 231-244.
    17. Geraint Johnes & Robert McNabb, 2004. "Never Give up on the Good Times: Student Attrition in the UK," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 66(1), pages 23-47, February.
    18. Bu, Feifei, 2014. "Sibling configurations, educational aspiration and attainment," ISER Working Paper Series 2014-11, Institute for Social and Economic Research.
    19. Barbara Entwisle & Ronald Rindfuss & Stephen Walsh & Tom Evans & Sara Curran, 1997. "Geographic information systems, spatial network analysis, and contraceptive choice," Demography, Springer;Population Association of America (PAA), vol. 34(2), pages 171-187, May.
    20. Sturdivant, Rodney X. & Hosmer Jr., David W., 2007. "A smoothed residual based goodness-of-fit statistic for logistic hierarchical regression models," Computational Statistics & Data Analysis, Elsevier, vol. 51(8), pages 3898-3912, May.
    21. Shawn Kanaiaupuni & Katharine Donato, 1999. "Migradollars and mortality: The effects of migration on infant survival in Mexico," Demography, Springer;Population Association of America (PAA), vol. 36(3), pages 339-353, August.
    22. Baghishani, Hossein & Mohammadzadeh, Mohsen, 2011. "A data cloning algorithm for computing maximum likelihood estimates in spatial generalized linear mixed models," Computational Statistics & Data Analysis, Elsevier, vol. 55(4), pages 1748-1759, April.
    23. Dana A. Glei & Noreen Goldman & German Rodriguez, 2002. "Utilization of Care During Pregnancy in Rural Guatemala: Does Obstetrical Need Matters," Working Papers 308, Princeton University, Woodrow Wilson School of Public and International Affairs, Office of Population Research..

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:plo:pwat00:0000409. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: water (email available below). General contact details of provider: https://journals.plos.org/water .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.