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In one such study, published in the latest edition of the Economic and Political Weekly, Padmini Ram of Christ University and Barrie Needham of Radboud University examine the living conditions and preferences at slums in Raipur, Chhattisgarh. The researchers surveyed slum households across 21 slums in Raipur. While a small sample, the survey results confirm existing data on the challenges associated with slums. Most lack access to drinking water, toilets or a functioning drainage system. Despite this, they do not actually buy houses, the researchers found.

They found that many slum dwellers only considered buying new homes as an investment: the new home would be rented out, while they remained in the slum. A kutcha structure is one whose roof is built using grass, thatch, bamboo, plastic, polythene, metal, asbestos sheets and walls that are grass, thatch, bamboo, plastic, polythene, mud, burnt brick, wood, metal, asbestos sheets See Table 7. A comparison with the study conducted by Society for Participatory Research in Asia 17 shows that the above distributions are comparable.

A benefit of the data is its spatial nature, which allows social factors to be analysed in the context of environmental conditions and resources. However, this increases the sensitivity of the data as it creates the potential for households within each slum to be identified from the survey data. For commercial use, please contact the UK Data Service at help ukdataservice. The diversity of variables collected in the survey instrument create a high possibility for reuse of this dataset.

Furthermore, certain variables are comparable with the standard National Family Health Survey v. The dataset can be used to test key associations between social and land-use outcomes that are critical for environmental policy and development strategies for Bangalore. For example, there are a range of variables that will allow researchers to examine the social relationships that affect livelihoods in slums such as money lending, informal labour, remittances and assets.

Comprehensive data on expenditure, income and livelihood choices could be used to model growth and emergence of slums e. The dataset can be disaggregated by group identities, and crucially includes information on seasonal variation in occupation and livelihoods, a critical issue in the variation of well-being and poverty. How to cite this article: Roy, D. Survey-based socio-economic data from slums in Bangalore, India.

Data doi: Moreno, E. Roy, D. The emergence of slums: A contemporary view on simulation models. Environ Modell Softw. Revi, A. Urban India Evidence Report No. Chandramouli, C. Nair, J.

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Baker, J. Deaton, A. Income, health and wellbeing around the world: Evidence from the Gallup World Poll. J Econ Perspect. Sapsford, R. Grosh, M. Shiri, G. Cochran, W.

There’s a simple reason why Indians return to the slums after they’ve been given better housing

Sampling Techniques. John Wiley and Sons, Inc. Indepth Network. Resource kit for Demographic Surveillance Systems. Adams, H. Spatial and temporal dynamics of multidimensional well-being, livelihoods and ecosystem services in coastal Bangladesh.

We Spent A Day In The Largest Slum In India - ASIAN BOSS

Maydanchik, A. Data Quality Assessment Technics publications , Society for Participatory Research in Asia. Krishna, A. J Dev Stud 49 , — Marimuthu, P.

The Project Gutenberg e-Book of The Battle with the Slum; Author: Jacob A. Riis.

Effect of socio-demographic characteristics on the morbidity prevalence among the urban poor in a metropolitan city of South India. Slum types and adaptation strategies: identifying policy-relevant differences in Bangalore. Environ Urban.


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Int J Epidemiol. Family Migration into Bangalore.

Econ Polit Wkly. Modelling the impact of household life cycle on slums in Bangalore. Comput Environ Urban Syst.

Download references. The authors also acknowledge the support of Mr.


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  6. Correspondence to Debraj Roy or Peter M. Article metrics. Advanced search. Skip to main content. Subjects Socioeconomic scenarios Sociology. Abstract In , an estimated million people were living in slums worldwide, with around 60 million added to the slum population between and Methods The main purpose of the study was to obtain a better understanding of the nature of urban poverty, to unpack the needs, issues and problems of slum dwellers, but also how slum-dwellers contribute to the urban economy and why households live in slums.

    What is the demographic and economic profile of the people living in slums? Do slum dwellers have access to financial systems and savings? What are the expenditures of people in the slums? Survey implementation The social survey was implemented in the city of Bangalore, India with the assistance of Fields of View FoV , a non-profit research organization, highly experienced in data collection. Table 1: Minor modifications of questionnaire based on the interests of slum dwellers. Full size table. Table 2: Minor modifications of questionnaire after pilot survey. Table 3: Two rounds of survey were implemented between June and March Technical Validation The technical validation and quality control comprised of three stages.