Implementing the SDGs: Institutional responsibilities, timelines, and implications for land-related indicators
United Nations Statistics Division, United States of America
How the World Bank is supporting the SDG process
World Bank, United States of America
Operationalizing indicator 1.4.2: Data availability, methodological issues, and country examples
1World Bank, United States of America; 2UN Habitat, United States of America
We explore the extent to which existing household- and administrative data can help operationalize SDG indicator 1.4.2. Widely available data (Census, DHS, MICS, LSMS) point to stark gender differences but little meaningful variation in house or land ‘ownership’ or perceived levels of tenure security, suggesting that information on area registered or mapped from administrative sources will have to be at the core of efforts to operationalize this indicator. We discuss available data and ways to collect them globally and use country examples to point towards data quality; validity; and sustainability as key areas for attention, provide initial suggestions on how to operationalize these, and show how doing so can inform policy and programs. We also illustrate how linking registry to socio-economic data and household surveys at different levels allows incorporating equity and distributional dimensions; quantifying informality; and exploring the incidence of rare events (e.g. disputes). Steps to increase coverage, in collaboration with local institutions and in a way that builds local capacity, are drawn out.
A Standard Land Module for Multi-topic Household Surveys
1The World Bank, United States of America; 2The World Bank, Italy
Although land is a key asset for individuals, households, and societies, complexity and variation in institutional arrangements imply that, although land sections of relevant questionnaires are large, coverage of non-agricultural land and consistency of the information collected, e.g. with respect to gender is often limited. To improve consistency in data collection without sacrificing relevance, this note presents a parcel module and questions community level that can be integrated into ongoing survey instruments with minimal adaptation (in terms of coding). This will allow existing surveys to be used more effectively to facilitate richer analysis, build local capacity, and report on key land indicators, including those for the SDGs, in a comparable way. It will also help open up new areas of analysis by helping to integrate household surveys with administrative data or remotely sensed imagery.
How Geospatial information can make the SDGs more actionable: Overall framework and specific opportunities for indicator 1.4.2
1Group on Earth Observations (GEO), France; 2United Nations Statistics Division, United States of America