{"query_echo":{"q":"","filters":{"climate_tags":["urban poor"]},"warnings":[{"code":"facet_value_not_in_vocabulary","message":"Value 'urban poor' for facet 'climate_tags' is not in the controlled vocabulary."}]},"total":{"value":7,"relation":"eq"},"page":1,"page_size":20,"self":"https://climateinsightsdirectory.org/api/v1/search?climate_tags=urban+poor","stability":"beta","ai_marking":{"digital_source_type":{"uri":"http://cv.iptc.org/newscodes/digitalsourcetype/trainedAlgorithmicMedia","name":"Created using Generative AI"},"notice":"Summary and key insights are generated using artificial intelligence."},"results":[{"id":"glorespar-000016","url":"https://climateinsightsdirectory.org/document/glorespar-000016","title":"A House of Dreams: Dipikaben’s Tryst with Climate-Resilient Housing","publisher":{"name":"Global Resilience Partnership","organization":"global-resilience-partnership"},"document_type":"case study","language":"en","date_published":"2023-06-06","source_url":"https://www.globalresiliencepartnership.org/a-house-of-dreams-dipikabens-tryst-with-climate-resilient-housing/","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","analysis_type"],"summary":{"text":"The document details a project by the Mahila Housing Trust (MHT) and Selco Foundation to upgrade the home of Dipika ben Malik, a seamstress in the Bhagwatinagar slum of Ahmedabad. The original structure, featuring an asbestos roof and low plinth, caused productivity losses and increased electricity costs during heatwaves and flooding. The intervention replaced the roof with PUF panels, raised the plinth level, and solarized appliances, creating a climate-resilient environment that protects the resident's income and living conditions.","ai_generated":true,"unit":"glorespar-000016#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Ahmedabad is highly susceptible to climate variability, having been ranked as the second most climate vulnerable city in a 2021 study by the Indian Ministry of External Affairs. The city has faced devastating heatwaves, such as one in 2010 that killed 1,344 people, and projections indicate maximum temperatures will increase by 1.2 °C to 2.4 °C in the future, while seasonal rainfalls may increase by 8 to 17 percent.","ai_generated":true,"unit":"glorespar-000016#insight-1","date_modified":"2026-10-23"},{"text":"Inadequate housing in the Bhagwatinagar slum directly undermined the livelihood of a home-based seamstress. Asbestos roofing trapped heat, causing the resident to avoid work in afternoons and doubling her electricity bills from 1,000 to 2,000 rupees per month. Additionally, a plinth level lower than the ground led to flooding during monsoons, resulting in the loss of food and customer clothing, and a reported loss of nearly 6,000 Rupees in a single event.","ai_generated":true,"unit":"glorespar-000016#insight-2","date_modified":"2026-10-23"},{"text":"The Mahila Housing Trust and Selco Foundation implemented specific climate-resilient upgrades to the home, including replacing asbestos sheets with polyurethane (PUF) panel roofing to insulate against heat and prevent leaks, raising the plinth level to stop flooding, and solarizing all appliances to reduce electricity costs.","ai_generated":true,"unit":"glorespar-000016#insight-3","date_modified":"2026-10-23"}],"climate_tags":["extreme heat","flood","solar energy","Urban poor","climate change adaptation"],"geography_discussed":[],"frame_perspective":[],"analysis_type":["case study"]},{"id":"wri-000711","url":"https://climateinsightsdirectory.org/document/wri-000711","title":"In Iloilo City, Philippines, an Inclusive Housing Program Protects Vulnerable Communities from Flood Risks","publisher":{"name":"World Resources Institute","organization":"world-resources-institute"},"document_type":"case study","language":"en","date_published":"2023-01-11","source_url":"https://www.wri.org/insights/iloilo-city-philippines-housing-flood-protection","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"In Iloilo City, Philippines, a long-term partnership between the local government and the Homeless People’s Federation of the Philippines Inc. (HPFPI) has transitioned vulnerable residents from informal settlements in flood-prone waterways to secure, centrally located housing. This participatory approach replaced previous forced evictions and underdeveloped relocation sites with community-driven planning and innovative financing. The program has supported 1,250 households in resettlement and established over 560 collective savings groups to provide low-interest loans for land and construction, bypassing traditional finance schemes that often exclude the lowest income segments. The initiative has integrated urban poor representatives into city government boards for resettlement, disaster risk, and land use planning.","ai_generated":true,"unit":"wri-000711#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"The Participatory Housing and Urban Development project has supported the resettlement of 1,250 households in Iloilo City, providing them with secure housing and improved access to health care, schools, and employment.","ai_generated":true,"unit":"wri-000711#insight-1","date_modified":"2026-10-23"},{"text":"To address the failure of mainstream finance schemes like the Community Mortgage Program to reach the lowest income earners, the Federation created an innovative financing model using community savings and low-interest loans. This effort led to the creation of more than 560 collective savings groups involving over 4,500 household members.","ai_generated":true,"unit":"wri-000711#insight-2","date_modified":"2026-10-23"},{"text":"The local government of Iloilo City shifted its approach from forced evictions to a collaborative model, purchasing a 16.2-hectare parcel for in-city relocation in 2002 and eventually establishing 23 relocation sites throughout the city.","ai_generated":true,"unit":"wri-000711#insight-3","date_modified":"2026-10-23"},{"text":"The partnership has institutionalized the role of the urban poor in city governance, with community leaders now serving as representatives on city government boards for disaster risk, resettlement, and land use planning.","ai_generated":true,"unit":"wri-000711#insight-4","date_modified":"2026-10-23"}],"climate_tags":["Flood risk management","climate change adaptation","sea level rise","Urban poor","informal housing","climate finance","land-use planning","disaster risk reduction"],"geography_discussed":["Southeast Asia"],"frame_perspective":[],"analysis_type":["case study"]},{"id":"wri-000950","url":"https://climateinsightsdirectory.org/document/wri-000950","title":"An Innovative Jobs Program in Odisha, India Helped Informal Workers Through COVID-19 and Beyond","publisher":{"name":"World Resources Institute","organization":"world-resources-institute"},"document_type":"case study","language":"en","date_published":"2023-01-03","source_url":"https://www.wri.org/insights/odisha-india-jobs-informal-workers","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The Urban Wage Employment Initiative (UWEI) was launched by Odisha's Housing and Urban Development Department in 2020 to combat unemployment and poverty among urban poor and migrant workers during COVID-19 lockdowns. The program employed 700,000 workers and paid $12 million in wages, focusing on climate-resilient public works such as rainwater harvesting and flood mitigation. By utilizing community organizations as 'alternative service providers' instead of professional contractors, the program ensured benefits remained local and reached marginalized groups. The success of UWEI led to its conversion in February 2021 into a permanent program called MUKTA (Mukhyamantri Karma Tatpara Abhiyan), establishing a precedent for pro-poor urban employment schemes in India.","ai_generated":true,"unit":"wri-000950#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"The Urban Wage Employment Initiative (UWEI) served as an emergency response to COVID-19 lockdowns, employing 700,000 urban workers and distributing $12 million in wages.","ai_generated":true,"unit":"wri-000950#insight-1","date_modified":"2026-10-23"},{"text":"UWEI focused on building climate-resilient infrastructure across 114 cities in Odisha, including rainwater-harvesting structures, water drain desilting, and flood-mitigation and monsoon preparedness infrastructure.","ai_generated":true,"unit":"wri-000950#insight-2","date_modified":"2026-10-23"},{"text":"The program departed from traditional competitive bidding by using community organizations, such as women's groups and slum dwellers' associations, as \"alternative service providers\" to ensure job opportunities for marginalized groups.","ai_generated":true,"unit":"wri-000950#insight-3","date_modified":"2026-10-23"},{"text":"In February 2021, the state government institutionalized the initiative by converting UWEI into a permanent program called MUKTA (Mukhyamantri Karma Tatpara Abhiyan).","ai_generated":true,"unit":"wri-000950#insight-4","date_modified":"2026-10-23"}],"climate_tags":["climate resilience","Urban poor","rainwater harvesting","Flood mitigation","urban development"],"geography_discussed":["India","Bhubaneswar","Cuttack","Rourkela"],"frame_perspective":[],"analysis_type":["case study"]},{"id":"seforall-000021","url":"https://climateinsightsdirectory.org/document/seforall-000021","title":"Urban poor at risk in 2022","publisher":{"name":"Sustainable Energy for All","organization":"sustainable-energy-for-all"},"document_type":"report","language":"en","date_published":"2022","source_url":"https://www.seforall.org/chilling-prospects-2022/urban-poor-at-risk","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"This report section analyzes the increasing vulnerability of the urban poor to extreme heat across 54 high-impact countries in 2022, highlighting a rise in the population at high risk due to lack of access to cooling.","ai_generated":true,"unit":"seforall-000021#summary","date_modified":"2026-08-17"},"key_insights":[{"text":"In 2022, the number of urban poor at high risk due to lack of cooling access in 54 high-impact countries rose to 796.5 million people, an increase of 24.8 million over the previous year. Since 2018, this population has grown by 93.2 million people, driven by factors such as fast-growing urbanization and challenges related to electricity access and housing quality.","ai_generated":true,"unit":"seforall-000021#insight-1","date_modified":"2026-08-17"},{"text":"The urban poor face high risks not only from a lack of cooling technology but also from poor housing quality that fails to protect against extreme heat, insufficient income to operate fans, and unreliable electricity that leads to food spoilage and nutritional risks.","ai_generated":true,"unit":"seforall-000021#insight-2","date_modified":"2026-08-17"},{"text":"India, China, and Nigeria are the three countries with the highest absolute numbers of urban poor. India saw the largest absolute increase of 10.5 million people (6 percent) between 2021 and 2022. In terms of relative proportional increases, Yemen (10 percent) and Myanmar (7 percent) experienced the highest growth.","ai_generated":true,"unit":"seforall-000021#insight-3","date_modified":"2026-08-17"},{"text":"Asia and the Middle East contain the majority of the global urban poor at high risk, with 512.3 million people across 16 high-impact countries, representing 64 percent of the global total. In Yemen, 74 percent of all urban residents are at high risk.","ai_generated":true,"unit":"seforall-000021#insight-4","date_modified":"2026-08-17"},{"text":"In Africa, the urban poor at risk grew by 7.8 million to reach 238.3 million in 2022, accounting for 30 percent of the global at-risk urban poor population. Nigeria contributed 45 percent of this regional increase, adding 3.5 million people.","ai_generated":true,"unit":"seforall-000021#insight-5","date_modified":"2026-08-17"},{"text":"Latin America and the Caribbean saw its first decrease in the number of urban poor at risk since tracking began, with a total reduction of over 420,000 people. This was primarily driven by a reduction of approximately 800,000 people in Brazil.","ai_generated":true,"unit":"seforall-000021#insight-6","date_modified":"2026-08-17"}],"climate_tags":["urbanization","extreme heat","cooling access","energy poverty","urban poor"],"geography_discussed":["India","People's Republic of China","Nigeria","Yemen","Myanmar","Papua New Guinea","Laos","Timor-Leste","Brazil","Philippines","Asia","Middle East","Africa","Latin America and the Caribbean","Angola","Ivory Coast","Mozambique","Sudan","Chad","Malawi","Somalia","Bolivia","Dominican Republic","Paraguay","Peru"],"frame_perspective":[],"analysis_type":["Population Trend Analysis","Regional Risk Assessment"]},{"id":"glorespar-000106","url":"https://climateinsightsdirectory.org/document/glorespar-000106","title":"OUTCOME DOCUMENT South Asia Regional Resilience Dialogue: Fostering Adaptation and Resilience for a Post-COVID19, 1.5 Degree Future","publisher":{"name":"Global Resilience Partnership","organization":"global-resilience-partnership"},"document_type":"report","language":"en","date_published":"2021-09-17","source_url":"https://www.globalresiliencepartnership.org/wp-content/uploads/2020/11/outcome_south-asia-regional-dialogue_final.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The South Asia Regional Resilience Dialogue emphasizes the need to reposition local actors, particularly women and youth, as agents of change rather than victims. It identifies systemic barriers such as top-down interventions, limited recognition of women's efforts, and inflexible financial architectures. The document advocates for decentralized finance delivery, the co-creation of knowledge, and the mobilization of diverse funding sources, including private sector investment and microfinance, to ensure climate resources reach the most vulnerable populations.","ai_generated":true,"unit":"glorespar-000106#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"The dialogue recommends repositioning local actors as 'agents of change' and granting them access to decision-making platforms at national, regional, and global levels to move beyond a 'narrative of victimhood'.","ai_generated":true,"unit":"glorespar-000106#insight-1","date_modified":"2026-10-23"},{"text":"Current climate interventions in South Asia are often 'top-down oriented' and developed without proper consultation with local communities, which leads to a failure in addressing actual local needs for resilience.","ai_generated":true,"unit":"glorespar-000106#insight-2","date_modified":"2026-10-23"},{"text":"Women and youth are identified as critical problem solvers and mobilizers, yet they face barriers including 'prevalent socio-cultural beliefs', poor access to technology, and a lack of formal recognition in decision-making processes.","ai_generated":true,"unit":"glorespar-000106#insight-3","date_modified":"2026-10-23"},{"text":"Financial architectures are currently described as 'inflexible', often managing resources centrally and failing to reach the most vulnerable due to poor local government capacity and a lack of decentralized delivery mechanisms.","ai_generated":true,"unit":"glorespar-000106#insight-4","date_modified":"2026-10-23"},{"text":"The document highlights successful regional examples of resilience building, including Nepal's Local Adaptation Plans for Action (LAPA), which requires 80% of funds to be disbursed at the local level, and the Climate Bridge Fund in Bangladesh.","ai_generated":true,"unit":"glorespar-000106#insight-5","date_modified":"2026-10-23"},{"text":"To scale resilience, the dialogue calls for a regulatory environment that mobilizes 'multiple, diverse and innovative sources of financing', specifically mentioning the untapped potential of private sector investment and the role of microfinance institutions (MFIs).","ai_generated":true,"unit":"glorespar-000106#insight-6","date_modified":"2026-10-23"}],"climate_tags":["climate change adaptation","climate finance","nature-based solutions","microfinance","private investment","gender equality","Urban poor"],"geography_discussed":["Bangladesh","India","Nepal"],"frame_perspective":[],"analysis_type":["policy recommendations","case study analysis"]},{"id":"seforall-000001","url":"https://climateinsightsdirectory.org/document/seforall-000001","title":"Global access to cooling: Regional trends","publisher":{"name":"Sustainable Energy for All","organization":"sustainable-energy-for-all"},"document_type":"report","language":"en","date_published":"2021","source_url":"https://www.seforall.org/chilling-prospects-2021/global-access-to-cooling/regional-trends","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"Cooling access gaps for the rural and urban poor grew across all analyzed regions in 2021. In Africa, 776 million people across 31 high-impact countries face cooling challenges, with 215 million urban poor at highest risk. In Asia and the Middle East, the population at highest risk rose to 645 million in 2021, with significant rural poor increases in India and Bangladesh. In Latin America and the Caribbean, the number of people at highest risk in six high-impact countries reached 48.8 million, with the majority being the urban poor.","ai_generated":true,"unit":"seforall-000001#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"In Africa, 776 million people across 31 high-impact countries, representing 93 percent of the total population, face cooling access challenges. This includes 215 million urban poor and 174 million rural poor at highest risk. The rural poor population at high risk increased by 11.4 million compared to 2020, a trend influenced by the COVID-19 pandemic.","ai_generated":true,"unit":"seforall-000001#insight-1","date_modified":"2026-10-23"},{"text":"The population at highest risk in Asia and the Middle East grew to 645 million in 2021, up from 617 million in 2020. The rural poor population in high-impact countries in this region increased by approximately 18 million between 2020 and 2021, with the most significant growth in India (13.9 million increase) and Bangladesh (2 million increase).","ai_generated":true,"unit":"seforall-000001#insight-2","date_modified":"2026-10-23"},{"text":"In Latin America and the Caribbean, the number of people at highest risk across six high-impact countries rose from 47.6 million in 2020 to 48.8 million in 2021. The urban poor constitute the vast majority of this group, with the largest growth observed in Brazil (299,000 people) and Bolivia (55,000 people).","ai_generated":true,"unit":"seforall-000001#insight-3","date_modified":"2026-10-23"}],"climate_tags":["energy access","Urban poor","climate risk"],"geography_discussed":["India","Bangladesh","Iran","Iraq","Pakistan","Sri Lanka","People's Republic of China","Indonesia","Myanmar","Timor-Leste","Yemen","Brazil","Bolivia","Paraguay","Dominican Republic","Angola","Benin","Burkina Faso","Chad","Congo","Guinea-Bissau","Liberia","Malawi","Mali","Mozambique","Niger","Nigeria","South Sudan","Sudan","Togo","Uganda"],"frame_perspective":[],"analysis_type":["trend analysis","regional assessment"]},{"id":"cdkn-000825","url":"https://climateinsightsdirectory.org/document/cdkn-000825","title":"Economic Assessment of the Impacts of Climate Change in Uganda","publisher":{"name":"Climate and Development Knowledge Network","organization":"climate-and-development-knowledge-network"},"document_type":"case study","language":"en","date_published":"2015-10","source_url":"https://cdkn.org/sites/default/files/files/Uganda_CC-Economics_Kampala_Case-study2.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The report examines climate variability and projections for Kampala, finding that while annual rainfall has remained stable, temperatures rose by approximately 1ºC between 1979 and 2005. Future projections suggest temperature increases of 1.5ºC (RCP 4.5) to 3ºC (RCP 8.5) by 2095. The study highlights that flooding is the most significant climate impact, exacerbated by the encroachment of human settlements into wetlands and poor urban drainage. Economic estimates indicate that annual flood damages could rise from US$1.3–7.3 million in 2013 to US$33.2–101.7 million by 2050 under a business-as-usual scenario. The cost of climate-proofing buildings and roads between 2015 and 2050 is estimated at US$3.2 billion (RCP 4.5) to US$3.7 billion (RCP 8.5), with residential buildings accounting for 72% of these costs. A cost-benefit analysis of drainage improvements in four catchments showed mixed results, with only two projects yielding a positive net present value. The report recommends revising building codes and the Kampala Physical Development Plan, strengthening the enforcement of Environmental Impact Assessments to protect wetlands, and integrating informality into climate resilience strategies.","ai_generated":true,"unit":"cdkn-000825#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Between 1979 and 2005, average near-surface temperatures in Kampala increased by approximately 1ºC, while annual rainfall did not show significant change between 1951 and 2005.","ai_generated":true,"unit":"cdkn-000825#insight-1","date_modified":"2026-10-23"},{"text":"Climate projections for 2095 predict near-surface temperature increases of approximately 1.5ºC under RCP 4.5 and 3ºC under RCP 8.5, with a slight decrease in annual rainfall of about 20mm for both scenarios.","ai_generated":true,"unit":"cdkn-000825#insight-2","date_modified":"2026-10-23"},{"text":"Flooding is the most severe climate impact in Kampala, causing deaths, destruction of buildings, disruption of transport and energy networks, and health problems through waterborne disease outbreaks.","ai_generated":true,"unit":"cdkn-000825#insight-3","date_modified":"2026-10-23"},{"text":"Urban vulnerability to flooding is driven by the encroachment of human settlements into wetlands and low-lying valleys, the clearing of vegetation on hills which increases runoff, and inadequate or poorly maintained drainage infrastructure.","ai_generated":true,"unit":"cdkn-000825#insight-4","date_modified":"2026-10-23"},{"text":"The urban poor, particularly the approximately 60% of the population living in informal settlements, are the most affected by climate change due to higher exposure and lower recovery capacity.","ai_generated":true,"unit":"cdkn-000825#insight-5","date_modified":"2026-10-23"},{"text":"Under a business-as-usual scenario where flood frequency and intensity remain constant, annual damages in Kampala could increase from US$1.3–7.3 million in 2013 to US$33.2–101.7 million by 2050.","ai_generated":true,"unit":"cdkn-000825#insight-6","date_modified":"2026-10-23"},{"text":"If the frequency of extreme flooding events doubles by 2050, annual damages are projected to range from US$66.5 million to US$203.3 million by 2050.","ai_generated":true,"unit":"cdkn-000825#insight-7","date_modified":"2026-10-23"},{"text":"The total cost of climate-proofing buildings and roads from 2015 to 2050 is estimated at US$3.2 billion under RCP 4.5 and US$3.7 billion under RCP 8.5.","ai_generated":true,"unit":"cdkn-000825#insight-8","date_modified":"2026-10-23"},{"text":"Adaptation costs are heavily concentrated in the building sector (99.8% of total), with residential buildings accounting for approximately 72% of all costs, meaning the financial burden falls primarily on the private sector.","ai_generated":true,"unit":"cdkn-000825#insight-9","date_modified":"2026-10-23"},{"text":"A cost-benefit analysis of drainage improvements in four catchments (Nakivubo, Kinawataka, Lubigi, and Nalukolongo) showed mixed results, with only two projects demonstrating a positive net present value (NPV) depending on the climate scenario.","ai_generated":true,"unit":"cdkn-000825#insight-10","date_modified":"2026-10-23"}],"climate_tags":["urban flooding","climate change scenario","climate change adaptation","climate finance","infrastructure resilience","Urban poor","informal housing","building code","water-supply management","hydroelectricity","vector-borne disease"],"geography_discussed":["Lake Victoria","East Africa"],"frame_perspective":[],"analysis_type":["economic assessment","cost-benefit analysis","qualitative impact assessment"]}]}