{"query_echo":{"q":"","filters":{"analysis_type":["poverty mapping"]},"warnings":[{"code":"facet_value_not_in_vocabulary","message":"Value 'poverty mapping' for facet 'analysis_type' is not in the controlled vocabulary."}]},"total":{"value":1,"relation":"eq"},"page":1,"page_size":20,"self":"https://climateinsightsdirectory.org/api/v1/search?analysis_type=poverty+mapping","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":"sei-002613","url":"https://climateinsightsdirectory.org/document/sei-002613","title":"Rural poverty and Food insecurity mapping at district level for improved agricultural water management in the Limpopo River Basin","publisher":{"name":"Stockholm Environment Institute","organization":"stockholm-environment-institute"},"document_type":"research paper","language":"en","date_published":"2013","source_url":"https://www.sei.org/mediamanager/documents/Publications/Air-land-water-resources/sei-report-cpwf-tagmi-limpopo.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The study maps rural poverty and food insecurity at the district level across Botswana, Mozambique, South Africa, and Zimbabwe from 2003 to 2013. It finds that while CPWF-LBDC research sites are generally located in poor areas, they are not always in the poorest districts. The report emphasizes that female- and child-headed households are the most vulnerable across all four countries and argues that poverty indices should be a primary factor in selecting sites for AWM interventions to effectively reduce food insecurity and poverty.","ai_generated":true,"unit":"sei-002613#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Poverty incidence in the Limpopo River Basin is generally higher than national averages, with the exception of Botswana.","ai_generated":true,"unit":"sei-002613#insight-1","date_modified":"2026-10-23"},{"text":"Female-headed households consistently experience higher rates of poverty and food insecurity than male-headed households across all four basin countries, reflecting disparities in access to land and water.","ai_generated":true,"unit":"sei-002613#insight-2","date_modified":"2026-10-23"},{"text":"There is a positive correlation between aridity and poverty, with poverty incidence appearing higher in the drier regions of the basin.","ai_generated":true,"unit":"sei-002613#insight-3","date_modified":"2026-10-23"},{"text":"Current CPWF-LBDC research sites are located in target poor areas, but they do not necessarily coincide with the districts exhibiting the absolute highest poverty levels.","ai_generated":true,"unit":"sei-002613#insight-4","date_modified":"2026-10-23"},{"text":"Poverty and food insecurity maps serve different policy purposes: food insecurity maps reflect short-term, seasonal conditions suitable for relief efforts, while poverty maps reflect structural asset deprivation suitable for long-term development planning.","ai_generated":true,"unit":"sei-002613#insight-5","date_modified":"2026-10-23"},{"text":"In South Africa, the districts with the highest poverty levels overlap with areas of subsistence farming, specifically within the Limpopo Basin portion.","ai_generated":true,"unit":"sei-002613#insight-6","date_modified":"2026-10-23"},{"text":"Between 2002/2003 and 2009/2010, the proportion of people living below the US$1.25/day poverty line declined in Botswana, Mozambique, and Zimbabwe, but increased slightly in South Africa.","ai_generated":true,"unit":"sei-002613#insight-7","date_modified":"2026-10-23"},{"text":"District-level poverty data can be misleading as it often masks 'poverty pockets' within districts that appear relatively well-off, potentially leading to poorly targeted AWM schemes.","ai_generated":true,"unit":"sei-002613#insight-8","date_modified":"2026-10-23"}],"climate_tags":["food insecurity","rainwater harvesting","drought","flood","smallholder","climate change"],"geography_discussed":["Brazil"],"frame_perspective":[],"analysis_type":["spatial analysis","poverty mapping","socioeconomic assessment"]}]}