iCRE: Identifying Disadvantaged Communities in Low- and Middle- Income Countries. How to Co-produce Quality Resilience Indexes at Subnational Level

Cristina Bradatan, US Census Bureau
Saswathi Natta, US Census Bureau, International Programs Center
Nicole Golden, US Census Bureau, International Programs Center

This paper is the latest from a series of products presenting a theoretically sound methodology to identify communities that are disadvantaged when faced with natural disaster in low- and middle-income countries (LMICs). This methodology is developed in co-production with stakeholders from the Global South, it is localized, and it can be particularized for specific disasters. iCRE (International Community Resilience Estimates), our proposed methodology, is a standardized subnational index, so it can identify disadvantaged community in any country where microlevel census data exists. As we aimed for our methodology to be applied, not just another theoretical exercise, we leveraged our team’s decades long connections and experience working with NSOs in LMICs to develop this tool through several steps. We first built a prototype of the iCRE tool using publicly available microdata. Then, we put together a training framework that incorporates feedback from our local LMICs NSO partners to tailor this tool for their local needs. The next step is to go in the countries and deliver it. Through this methodology, the NSOs are empowered to develop the iCRE themselves without needing to share their census microlevel data with us or any other external partners.

Keywords: Population, Environment, and Climate Change, Data and Methods, Population and Development, Population Policies

See extended abstract.