Background and Rationale
Ensuring environmental sustainability is one of the eight (8) Millennium Development Goals of the United Nations Development Programme (UNDP). In addressing such goal, there is a need to make significant improvement on the lives of at least 100 million slum dwellers by 2020. The Philippine government has to set-up policy instruments to protect the housing rights of the urban poor. At the same time, programs to provide shelter security units should be initiated and implemented in partnership with the private sector.
To ascertain shelter security for the Filipino family and provide access to affordable and decent housing, especially for the poor, the 2005-2010 Medium-term Philippine Development Plan (MTPDP) spells out three (3) key challenges for the housing construction sector. These are: (i) meeting the rapidly growing housing need; (ii) expanding private sector participation in socialized housing financing and construction; and (iii) strengthening the capacity of housing institutions.
The success of effective strategies and convergent action plan by and between government and private sector to meet these challenges depend largely on how reliable the existing housing statistics, to start with. This issue is recognized in 2005-2010 Philippine Statistical Development Plan (PSDP). Certain statistical problems have to be addressed in the housing sector, namely: (i) need for a regular and more comprehensive housing statistics; (ii) inadequate statistics on housing production; (iii) lack of adequate data on informal settlers by sex; (iv) need to come up with housing statistics with urban-rural disaggregation; and (v) need to generate more relevant indicators on housing.
The issue of reliability on housing statistics was also recognized as a problem in Region VIII. It was commented that estimates on housing backlog for the region seemed not realistic. Hence, it was suggested that methodology for estimating housing demand of the region be revisited. During consultation meetings conducted by the National Statistical Coordination Board (NSCB) with the Housing and Land Use Regulatory Board (HLURB), it was found out that data on the components of housing demand, such as double occupancy, displaced units, homeless, upgrading and formation of new households are either unprocessed or not yet available. Although HLURB came up with estimators, these seemed not applicable to the regional setting. Also, it was noted that no effort was done to integrate data on housing supply coming from the different agencies like NHA, PAG-IBIG, GSIS, SSS, etc.
In the assessment of methodology used by the Housing and Urban Development Coordinating Council (HUDCC) to determine housing demand, it was found out that in a time series data, the existing method may no longer be suitable to current situation. To come up with a reliable housing backlog estimate, there is a need to review the framework for the projection of household population and housing demand based on current socioeconomic conditions. Methodologies and different approaches should be examined as well to determine effective housing demand as basis for future housing policies, plans, and programs. A housing information system and compilation of housing statistics from all shelter agencies and other data producers should be prepared in order to provide relevant and holistic data system for the sector.
Objectives of the Study
The Statistical Research and Training Center (SRTC), the research and training arm of the Philippine Statistical System, proposes the conduct of a study on the Philippine Housing Backlog under the Development of Shelter Monitoring Information System (DSMIS) project. The project aims to conduct a housing backlog study. Specifically, the Housing Backlog Study aims to: develop an improved framework for the housing backlog; improve housing backlog estimates using an alternative methodology; generate spatial statistics for informal settlers down to regional level; design a mechanism to facilitate the registration of socialized housing beneficiaries; establish data holdings on housing statistics that will lead to the improvement of the Shelter Information Management System; develop housing preferences and affordability indicators; and develop a technical proposal on Shelter Information Management System.
Expected Outputs/Scope of Work
The study shall have the following outputs:
- Improved Framework of Housing Backlog
- Improved Housing Backlog Estimates
- Spatial Statistics of Informal Settlers down to Regional Level
- Design of the Registration of Beneficiaries of Socialized Housing
- Housing-Related Data Holdings
- Housing Preference and Affordability Indicators
- Technical Proposal for Shelter Information Management System