Preparation of Ward Poverty Atlas and Urban Poverty Profile for 09 Cities for “Livelihoods Improvement of Urban Poor Communities Project (LIUPCP)

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Project Information

Title:

Preparation of Ward Poverty Atlas and Urban Poverty Profile for 09 Cities for “Livelihoods Improvement of Urban Poor Communities Project (LIUPCP)

Client:

UNDP

Project Description:

This is an ongoing assignment, kicked off in February 2020. The overall objectives of the study are to produce ward-level poverty atlas and city-level poverty profiles in selected LIUPCP cities and municipalities. The study area encompasses Dhaka South City Corporation, Gazipur City Corporation, Cox’s Bazar Municipality, Cumilla City Corporation, Gopalganj Municipality, Noakhali Municipality, Rajshahi City Corporation, Rangpur City Corporation, and Sayedpur Municipality. Desk review, collection of secondary data, and participatory consultation with local level stakeholders have so far been conducted for the study. Besides, the consultant team will collect Ward level data on urban poor settlement mapping, mahalla and resources mapping from LIUPCP communities and other relevant stakeholders. A participatory workshop with city officials and community representatives will be conducted to facilitate collection of further information on urban poverty. In order to prepare Ward poverty atlas, the consultant team will collect all relevant documents from UNDP, local development partners, and relevant government agencies.  Ward map with mahalla boundary and resources within it will be prepared by applying the overlay technique in GIS platform. Different demographic data will also be analyzed and placed in the Atlas as per the requirement of LIUPCP project. Mixed method approach will be taken into consideration for preparing Urban Poverty Profile (UPP). The UPP will reflect findings from both quantitative and qualitative data collected through different tools (e.g. desk review, pin-up session, community visit, and photographs). Different spatial analysis will also be carried out in GIS using poor settlements and resources data, and non-spatial quantitative data will be analyzed in excel. A pin-up session will be organized in each of the cities with the government and local government officials, community representatives, and LIUPCP town teams. The observation from LIUPCP teams on Urban Poverty Profile will be incorporated in the final version of UPP. Once Atlas and UPP are completed, the consultancy team will prepare a project completion report summarizing the whole assignment in an abridged form.

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