Summary information

Study title

Household survey on agency and governance in Maharashtra, India

Creator

Justino, P, Institute of Development Studies
Tranchant, J, Institute of Development Studies
Gupte, J, Institute of Development Studies
Aghajanian, A, Institute of Development Studies

Study number / PID

851258 (UKDA)

10.5255/UKDA-SN-851258 (DOI)

Data access

Restricted

Series

Not available

Abstract

This is a socio-economic household survey dataset which was collected in urban centres in the state of Maharashtra, India. The dataset covers information about social capital and cooperation, household assets, the household’s experience of urban riots and various other shocks, perceptions of safety, coping strategies, and specific demographic information for each household member.

The main purpose of this study is to fill this theoretical, empirical and policy gap by analysing how the relationship between populations living in contexts of violence and armed non-state actors controlling or contesting those areas results in forms of local governance and order, and how these in turn affect the access to and effectiveness of livelihoods adopted by individuals and communities in contexts of violence. The study is based on comparative qualitative and quantitative empirical work in Colombia, India, Lebanon, Niger and South Africa.

Methodology

Data collection period

01/09/2010 - 30/11/2013

Country

India

Time dimension

Not available

Analysis unit

Housing Unit

Universe

Not available

Sampling procedure

Not available

Kind of data

Numeric

Data collection mode

Data collection method: Districts in Maharashtra were categorised (based on Maharashtra police data) into three categories: high rioting districts (5 or more riots per district per year), medium rioting districts (more than 1.5 and less than 5 riots per district per year), and low rioting district (less than 1.5 riots per district per year). We took into account the geographical spread of the state by choosing districts that represented all administrative regions and socio-cultural divisions in the sample. Our final selection included three districts in each of the medium- and low-rioting clusters, and four in the high-rioting cluster. Within these 10 districts, 45 neighbourhoods were then randomly selected from the list of voting-booth zones obtained from the Maharashtra Election Commission corresponding to urban sites with a history of violence. The field team began household interviews simultaneously from a set of starting points in each of the neighbourhoods agreed a-priori, working their way inwards in each neighbourhood making sure that no alley, no matter how small, was missed by following a right-turn pattern at all junctions. Households were randomly selected through a skip pattern, which for larger neighbourhoods was 7 or 8 households, while for smaller neighbourhoods was 4 to 5 households. This multi-staged sampling framework resulted in a final sample of 1089 households, spread across forty-five neighbourhoods, in ten districts in Maharashtra. Households were interviewed face-to-face with a structured questionnaire.

Funding information

Grant number

RES-167-25-0481

Access

Publisher

UK Data Service

Publication year

2014

Terms of data access

Not available

Related publications

Not available