Informal Sector Housing Scenario Analysis For Chattogram, Bangladesh
Introduction
This report “Informal Sector Housing Scenario Analysis for Chattogram, Bangladesh: A Way Forward” uses empirical field research, case studies, and site proposals to examine current informal sector housing, assess affordability, and propose viable housing solutions. The Housing Scenario Analysis sheds light on constraints like land cost, infrastructure deficits, natural disaster risks, and social preferences, and offers policy-oriented recommendations. Urbanization, climate risks, and migration trends in Bangladesh—especially in major port cities like Chattogram—have placed growing pressure on housing supply. In response, Housing Scenario Analysis has become essential for understanding how informal housing develops, the gaps in provision, and what types of interventions are feasible.
Population growth rate, urban migration, and natural disasters are making, the chronic shortage of housing in developing countries, more complicated and strenuous. The case of Bangladesh is no different. However, though the growth rate of Chittagong is high yet due to various infrastructural and socio-environmental issues, the people of Chittagong are facing a housing shortage. In most cases, the development of informal sector housing is makeshift and unplanned and the consideration of the geographical, environmental, and ecological matrix is minimal.
People who are in the informal sector and economically disadvantaged, cannot get proper shelter due to the shortage of housing or housing ingredients for the poor. This paper attempts to find a way to mitigate the shortage of informal sector economically disadvantaged group housing within the current market scenario. A mixed-income group housing subsidized for the lower-income category by profit sharing from other categories is recommended to make it a win-win approach.
Background & Purpose
Chattogram (also called Chittagong), Bangladesh’s second largest city, is experiencing rapid population growth, partly from migration, partly from natural increase. The demand for shelter outstrips available formal housing supply, pushing many into informal settlements and makeshift housing. The goal of the study is: through detailed Housing Scenario Analysis, to measure and map these informal sector housing conditions; identify affordability limits; review past rehabilitation and housing schemes; and propose a scheme that addresses affordability, safety, infrastructure, and community needs in a sustainable manner in Chattogram.
Methodology
The study uses mixed methods for its Housing Scenario Analysis:
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Secondary data: Census, city maps, demographic data, housing shortage estimates for Chattogram city and Statistical Metropolitan Area (SMA).
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Field surveys and interviews: capturing income, expenditure, renters vs owners, preferences, ability to pay, housing size.
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Case studies: rehabilitation projects (e.g. Bhashantek) and site-and-service projects.
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Site selection & layout proposals: testing alternate designs that enhance affordability, safety, and access.
Key Findings: The Current Housing Landscape
The Housing Scenario Analysis reveals several characteristics of housing in Chattogram:
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High Informality & Poor Conditions
Many households reside in informal housing: squatter dwellings, unplanned makeshift homes, lacking basic services. Structural quality, sanitation, and water supply are often substandard. -
Rapid Growth & Spatial Expansion
Chattogram’s SMA has expanded dramatically; population growth rate (~3.6% per year), expansion into peripheral zones. Informal sector housing tends to occupy hazard-prone areas—floodplains, landslide-prone hillsides, poorly serviced peripheries. -
Affordability Constraints
According to the Housing Scenario Analysis, many low-income households have limited income (e.g. ~Tk 8,000-9,000 monthly) and can only allocate a portion of income (~30%) to housing costs. Formal housing is often priced well beyond this, especially when land cost is included. -
Past Schemes Have Limitations
Rehabilitation projects like Bhashantek, or Home and Plot projects, show promise but also reveal mismatches: unit sizes too small, pricing too high, infrastructure or location too remote, or costs (land, development) passed on to target groups making them unaffordable. -
Site & Service Projects
These projects try to provide serviced plots, roads, amenities; but land acquisition, cost of services, and transport access often determine whether residents can actually take up plots. Housing Scenario Analysis shows many site-and-service projects are beyond the reach of the poorest unless subsidies or cost sharing are used.
Case Studies & Examples
The Housing Scenario Analysis presents case studies including:
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Bhashantek Rehabilitation Project: government or public-private initiative aimed at relocating slum dwellers and Low Income Groups (LIG). Houses are built in multi-storied apartments. Yet, when prices are set, many intended beneficiaries find them unaffordable. The designs are very compact for the poorest, and while structure is better than informal dwellings, some infrastructure problems persist.
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Kolpolok and Other Site Projects: These aim to provide plots with road, water, and some amenities. The Housing Scenario Analysis shows that when transport and accessibility are factored in, costs for households rise (travel cost, lost time). Location relative to job centers or markets is a major concern for acceptability.
Proposed Housing Scheme
Based on the Housing Scenario Analysis, the authors propose a mixed-income housing scheme for informal sector households, designed with the following core features:
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Land is to be made available (ideally free or heavily subsidized) to reduce land acquisition cost for poor households.
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Mixed income components: plots/apartments for low, middle, and higher-income groups. Profits from higher income portions used to subsidize the low income group.
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Multi-storied apartment blocks and plotted developments combined. Apartments of small, moderate, and larger sizes catering to different demands.
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Amenities: communal open spaces, markets, clinics, schools included; layout that ensures safe circulation, ventilation, drainage; environmental constraints like flood risk or landslide risk considered.
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Transport & connectivity: proposed site (Fateyabad / Hathazari Road) has rail/road connectivity, proximity to services so residents’ cost of commuting and access to jobs is minimized.
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Cost targets: The scheme aims for unit costs that poor families can afford (around Tk 3 lakh for a housing unit given subsidies, free land, shared infrastructure).
Constraints identified through the Housing Scenario Analysis
The report highlights several constraints in implementing such schemes:
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High land prices, especially near or inside city boundaries. Even when plots are allocated by government, cost of land development (roads, services) pushes the cost up.
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Infrastructure provision is expensive and often delayed. Even when housing units are built, lack of water, drainage, waste management, electricity, roads degrade livability.
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Policies: Planning rules, building codes, FAR (Floor Area Ratio), coverage limits, setbacks, minimum plot sizes can increase cost per unit for small, affordable housing.
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Financial constraints: Poor households often have low savings; credit markets are limited or restrictive; informal sector workers may lack documentation to qualify for formal finance.
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Social preferences: Some households prefer plot ownership or land + self-construction rather than apartments; but plot cost and maintenance may limit this.
Insights & Implications
The Housing Scenario Analysis in this report yields important policy implications:
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Subsidies and cost-sharing are essential for low income informal sector housing. Pure market solutions leave many out.
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Mixed income schemes help cross-subsidize and allow scale, but must be carefully designed so that low income households are not physically segregated or placed in peripheral locations with poor services.
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Location matters: housing placed far away saves land cost but incurs higher transport, time, opportunity costs. Thus, site selection must weigh connectivity.
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Involvement of residents in design or plot/apartment choices increases acceptability. Satisfaction is higher when people feel they have some agency.
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Monitoring and enforcement of planning standards (roads, facilities, environmental safety) is key; many regulations exist but are not effectively implemented.
Recommendations
From the Housing Scenario Analysis, the authors propose several recommendations:
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Land Policy Reform: Freeing up or subsidizing land for informal sector housing; government to identify and release suitable land with good connectivity.
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Flexible Housing Typologies: Design both apartments and platted plots; allow incremental building; allow small homes for poorest; allow combination of formal/informal styles.
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Cost Reduction via Shared Infrastructure: Sharing community facilities, clustering of services to lower per-unit cost; communal ownership of nonurgent amenities.
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Enable Transport Access Early: Ensure road and public transport connections are established or planned before occupancy to reduce travel cost/time.
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Financial Mechanisms: Affordable credit, micro-finance, profit-sharing in mixed-income schemes, subsidies or grants targeted to poorest households.
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Enforcement of Standards & Regulations: Monitoring to ensure building codes, planning requirements are met; performance of past policies measured; data-driven planning.
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Participatory Planning: Involve community in choice of housing type, location, amenities; ensure cultural preferences (plot vs apartment) are considered.
How the Housing Scenario Analysis Can Guide Policy
The Housing Scenario Analysis shows that policy makers need to look beyond just building more houses—they must pay attention to where and how housing is built. It suggests that informal sector housing solutions must be integrated within the broader urban fabric. Zoning, connectivity, access to amenities, disaster risk, and environmental sustainability all matter. The study argues that with moderate policy shifts—land subsidies, flexible designs, cost-sharing, improved infrastructure—Chattogram could significantly reduce its housing deficit among informal sector households.
Conclusion
The Informal Sector Housing Scenario Analysis for Chattogram, Bangladesh report underscores that informal housing will continue to be a major part of Chattogram’s housing landscape unless comprehensive interventions are made. Based on extensive Housing Scenario Analysis, the study highlights that affordability, infrastructure access, land cost, regulatory and policy reforms are central to bridging the gap for informal sector poor households. The proposed mixed income scheme shows that it's possible to align market dynamics with equity objectives. For Chattogram, unlocking better housing for the informal sector depends on translating this kind of analysis into concrete land supply, design, finance, and regulatory changes.
Also Read: Socio-Economic Determinants on Affordable Housing in Hilly Areas of Pakistan