{"query_echo":{"q":"","filters":{"analysis_type":["demographic projection"]},"warnings":[{"code":"facet_value_not_in_vocabulary","message":"Value 'demographic projection' for facet 'analysis_type' is not in the controlled vocabulary."}]},"total":{"value":5,"relation":"eq"},"page":1,"page_size":20,"self":"https://climateinsightsdirectory.org/api/v1/search?analysis_type=demographic+projection","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":"greeneur-000031","url":"https://climateinsightsdirectory.org/document/greeneur-000031","title":"Fewer but stronger workers in an ageing Europe","publisher":{"name":"Green European Journal","organization":"green-european-journal"},"document_type":"research paper","language":"en","date_published":"2026-06-10","source_url":"https://www.greeneuropeanjournal.eu/fewer-but-stronger-workers-in-an-ageing-europe/","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"Europe is facing a significant demographic shift characterized by declining working-age populations and increasing old-age dependency, which is expected to create tighter labour markets and labour shortages by 2050. While this trend may stunt GDP growth and complicate investment, it provides an opportunity for trade unions to increase worker bargaining power and revitalize their membership, particularly by organizing the expanding care sector.","ai_generated":true,"unit":"greeneur-000031#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Europe's working-age population (ages 20-64) is projected to decline from 59% to 53% of the total population by 2050, resulting in 26 million fewer workers. This shift will move the old-age dependency ratio from 3:1 to 2:1, meaning only two working-age people will exist for every person over 65.","ai_generated":true,"unit":"greeneur-000031#insight-1","date_modified":"2026-10-23"},{"text":"Demographic declines will be most severe in Eastern and Southern Europe. Specifically, Latvia, Lithuania, Bulgaria, Romania, Hungary, Greece, and Portugal are projected to see their working-age populations drop by more than 20%.","ai_generated":true,"unit":"greeneur-000031#insight-2","date_modified":"2026-10-23"},{"text":"Migration is insufficient to reverse Europe's ageing trend. Even a 30% increase in net migration above baseline projections would still result in the working-age population decreasing from 262 million to 249 million by 2050.","ai_generated":true,"unit":"greeneur-000031#insight-3","date_modified":"2026-10-23"},{"text":"The shrinking workforce is expected to create widespread labour shortages by 2035 across various roles, including professionals, service workers, and plant operators. This tightening of the labour market may increase worker bargaining power and inflationary pressure due to production bottlenecks.","ai_generated":true,"unit":"greeneur-000031#insight-4","date_modified":"2026-10-23"},{"text":"Stagnating productivity and the tendency of corporations to retain profits rather than reinvest them are identified as major hurdles to European competitiveness and the green and digital transitions.","ai_generated":true,"unit":"greeneur-000031#insight-5","date_modified":"2026-10-23"},{"text":"The care sector is identified as a strategic area for trade union renewal due to the increasing demand for elderly care and the fact that such work is unlikely to be automated. Improving working conditions in this gender-segregated, low-pay sector is essential to attract workers and ensure dignity for the elderly.","ai_generated":true,"unit":"greeneur-000031#insight-6","date_modified":"2026-10-23"}],"climate_tags":["energy transition","climate migration"],"geography_discussed":["Latvia","Lithuania","Bulgaria","Romania","Hungary","Greece","Portugal","Malta","Luxembourg","Sweden","Ireland","Belgium","India","Germany","Austria","France","Spain","Norway"],"frame_perspective":[],"analysis_type":["demographic projection","economic analysis","policy recommendation"]},{"id":"issafri-000042","url":"https://climateinsightsdirectory.org/document/issafri-000042","title":"Development pathways for the DRC to 2050","publisher":{"name":"Institute for Security Studies","organization":"institute-for-security-studies"},"document_type":"report","language":"en","date_published":"2023-05-15","source_url":"https://futures.issafrica.org/special-reports/guide.pdf?report=country/drc&topic=04-demographics","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The report analyzes the Democratic Republic of Congo's high fertility rates, rapid population growth, and urbanisation trends. It argues that without sound demographic policies to reduce fertility and manage a large youth bulge, the country's population growth will remain a significant obstacle to economic prosperity and human development, delaying the achievement of a demographic dividend until approximately 2060.","ai_generated":true,"unit":"issafri-000042#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"The DR Congo has one of the highest fertility rates globally, ranking third after Niger and Somalia. In 2019, the fertility rate was 5.9 children per woman, though this is lower than the 6.7 average seen in the 1990s. These rates vary significantly by region and socio-economic status: Kinshasa has the lowest rate at 4.2, while Kasaï Occidental has the highest at 8.2. Additionally, women with no education average 7.4 children, compared to 2.9 for those with at least a secondary education.","ai_generated":true,"unit":"issafri-000042#insight-1","date_modified":"2026-10-23"},{"text":"Under the 'Current Path' scenario, the DR Congo's population is expected to double by 2045 and surpass Ethiopia by 2050 to become Africa's second most populous country after Nigeria. The total fertility rate is projected to be 3.4 in 2050, which remains higher than the projected averages for low-income countries (2.8) and sub-Saharan Africa (2.9).","ai_generated":true,"unit":"issafri-000042#insight-2","date_modified":"2026-10-23"},{"text":"Rapid urbanisation is occurring alongside population growth. The urban population share is projected to rise from 45% in 2019 to 64% by 2050. Kinshasa is expected to reach 24 million people by 2030, potentially becoming the most populous city in Africa. Currently, nearly 75% of the DR Congo's urban population lives in slums, which is 15 percentage points higher than the sub-Saharan African average.","ai_generated":true,"unit":"issafri-000042#insight-3","date_modified":"2026-10-23"},{"text":"The DR Congo is unlikely to reap a demographic dividend until around 2060, nearly a decade later than the global average for low-income countries. This is because the ratio of the working-age population to dependents is projected to be only 1.2:1 in 2030 and 1.5:1 in 2050, failing to meet the 1.7:1 threshold required for rapid growth. The country also faces a 'youth bulge' of 49% (ages 15-29), which could lead to socio-political instability if employment and education needs are not met.","ai_generated":true,"unit":"issafri-000042#insight-4","date_modified":"2026-10-23"}],"climate_tags":["urbanization","urban planning"],"geography_discussed":["Kinshasa","Kasaï-Occidental","Africa","Niger","Somalia","Nigeria","Ethiopia","Cairo","Lagos","Chile","Sudan"],"frame_perspective":[],"analysis_type":["demographic projection","socio-economic analysis"]},{"id":"cer-000864","url":"https://climateinsightsdirectory.org/document/cer-000864","title":"NATIONAL SPATIAL DEVELOPMENT FRAMEWORK","publisher":{"name":"Centre for Environmental Rights","organization":"centre-for-environmental-rights"},"document_type":"report","language":"en","date_published":"2019-04","source_url":"https://cer.org.za/wp-content/uploads/2015/07/Draft-National-Spatial-Development-Framework-2020.pdf?x21779","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The Draft National Spatial Development Framework (NSDF) 2019 is a long-term strategic planning instrument for South Africa, mandated by the Spatial Planning and Land Use Management Act (SPLUMA) and aligned with the National Development Plan (NDP). It aims to dismantle the spatial legacies of colonialism and apartheid by transitioning the country toward an integrated, inclusive, and sustainable national space economy by 2050.","ai_generated":true,"unit":"cer-000864#summary","date_modified":"2026-08-17"},"key_insights":[{"text":"The NSDF identifies a critical need to shift from a colonial and apartheid spatial development logic to a post-apartheid logic that prioritizes the interests of the majority over a few, ensures equitable land access, and limits the creation of luxury enclaves.","ai_generated":true,"unit":"cer-000864#insight-1","date_modified":"2026-08-17"},{"text":"South Africa's population is projected to grow from approximately 58 million in 2018 to around 75 million by 2050, with a significant trend toward urbanisation; it is estimated that nearly 80% of the population will live in urban areas by 2050.","ai_generated":true,"unit":"cer-000864#insight-2","date_modified":"2026-08-17"},{"text":"The framework proposes a 'Social Service Wheel' or provisioning model to ensure equitable delivery of social infrastructure, placing higher-order services (like regional hospitals and universities) in national urban cores and regional development anchors, while providing basic services in smaller villages.","ai_generated":true,"unit":"cer-000864#insight-3","date_modified":"2026-08-17"},{"text":"Climate change is expected to cause temperatures to increase by 1 to 4 degrees Celsius by 2050, primarily in western and north-western regions, while rainfall is projected to decrease in the south-western, western, and north-western parts of the country.","ai_generated":true,"unit":"cer-000864#insight-4","date_modified":"2026-08-17"},{"text":"The NSDF identifies five National Spatial Action Areas (NSAAs) for urgent intervention: National Transformation Corridors, the Central Innovation Belt, National Resource Risk Areas, National Urban Regions, and the Arid-Innovation Region.","ai_generated":true,"unit":"cer-000864#insight-5","date_modified":"2026-08-17"},{"text":"The framework emphasizes a transition away from a resource-extraction based economy, noting that the move away from diesel cars may lead to a shrinkage in the Platinum Group Metals (PGMs) industry.","ai_generated":true,"unit":"cer-000864#insight-6","date_modified":"2026-08-17"},{"text":"To achieve spatial transformation, the NSDF proposes six levers: using urban areas as engines of transformation, establishing national spatial development corridors, developing productive rural regions, implementing a social service provisioning model, creating a national ecological infrastructure system, and developing a national transport, communications, and energy network.","ai_generated":true,"unit":"cer-000864#insight-7","date_modified":"2026-08-17"},{"text":"The framework identifies 'National Resource Risk Areas' where competition between mining, agriculture, and human settlement threatens water security, specifically mentioning the Upper Vaal, Olifants, Waterberg, uMngeni, and Berg & Breede river catchments.","ai_generated":true,"unit":"cer-000864#insight-8","date_modified":"2026-08-17"},{"text":"The NSDF outlines a three-cycle implementation timeline: Initiation (2019-2023) focusing on alignment and awareness; Alignment, Budgeting and Execution (2024-2043) focusing on institutionalisation and execution; and Renew and Re-do (2044-2049) for full evaluation.","ai_generated":true,"unit":"cer-000864#insight-9","date_modified":"2026-08-17"},{"text":"The document warns that failure to act on the NSAAs could lead to 'running out of water', massive losses of biodiversity, and social unrest, including an increase in xenophobic attacks and violence.","ai_generated":true,"unit":"cer-000864#insight-10","date_modified":"2026-08-17"}],"climate_tags":["climate change","water security","ecological infrastructure","low-carbon economy","regional adaptation","mitigation"],"geography_discussed":["Gauteng","Western Cape","eThekwini Metropolitan Municipality"],"frame_perspective":[],"analysis_type":["spatial planning","demographic projection","economic transition","environmental risk assessment"]},{"id":"saiia-001662","url":"https://climateinsightsdirectory.org/document/saiia-001662","title":"THE ‘CONTAINMENT COMPACT’: THE EU MIGRATION ‘CRISIS’ AND AFRICAN COMPLICITY IN MIGRATION MANAGEMENT","publisher":{"name":"South African Institute of International Affairs","organization":"south-african-institute-of-international-affairs"},"document_type":"research paper","language":"en","date_published":"2018-09","source_url":"https://saiia.org.za/wp-content/uploads/2018/10/Occasional-Paper-288.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The document examines the 'EU migration crisis' and the resulting 'containment compact,' where the EU provides aid and arms to African states to restrict migration. It argues that this approach ignores primary drivers: Africa's youth bulge and income inequality. While the EU faces labour shortages and Africa has a surplus, the current policy focuses on border fortification rather than pragmatic labour mobility agreements. The author contends that without a 'migration safety valve,' both regions face potential political and economic backlash.","ai_generated":true,"unit":"saiia-001662#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Africa's population is projected to grow significantly, with its share of the global population expected to increase from 17% in 2017 to 40% by 2100, while Europe's population is projected to decline by 13% in the same period.","ai_generated":true,"unit":"saiia-001662#insight-1","date_modified":"2026-10-23"},{"text":"There is a significant global labour imbalance: by 2050, sub-Saharan Africa's labour force will be the largest in the world, while the EU and other regions like China and Eastern Europe face declining working populations.","ai_generated":true,"unit":"saiia-001662#insight-2","date_modified":"2026-10-23"},{"text":"The majority of African migration is intra-continental, with approximately 80% of Africans moving within sub-Saharan Africa, often within regional economic communities (RECs) like ECOWAS and the EAC.","ai_generated":true,"unit":"saiia-001662#insight-3","date_modified":"2026-10-23"},{"text":"The 'containment compact' consists of EU strategies to restrict African mobility through three main dimensions: fortifying borders, using development aid to remove incentives to migrate, and selecting a small number of candidates for entry into Europe.","ai_generated":true,"unit":"saiia-001662#insight-4","date_modified":"2026-10-23"},{"text":"EU funding via the Emergency Trust Fund for Africa (EUTF) is often tied to migration management rather than long-term development, with some bilateral agreements conditioning aid on the readmission of migrants.","ai_generated":true,"unit":"saiia-001662#insight-5","date_modified":"2026-10-23"},{"text":"African economic growth is characterized as 'jobless growth' driven by mechanised primary commodities, meaning it is unlikely to provide sufficient employment for the growing youth population regardless of GDP increases.","ai_generated":true,"unit":"saiia-001662#insight-6","date_modified":"2026-10-23"},{"text":"The Global Compact on Migration (GCM) is unlikely to significantly change African migration governance because it is non-binding and saw limited involvement from African states and civil society during its drafting.","ai_generated":true,"unit":"saiia-001662#insight-7","date_modified":"2026-10-23"}],"climate_tags":["climate migration"],"geography_discussed":["Libya","Niger","South Africa","Nigeria"],"frame_perspective":[],"analysis_type":["policy analysis","demographic projection","geopolitical analysis"]},{"id":"issafri-002657","url":"https://climateinsightsdirectory.org/document/issafri-002657","title":"MALARIA NO MORE: EXPECTATIONS FOR ERADICATION","publisher":{"name":"Institute for Security Studies","organization":"institute-for-security-studies"},"document_type":"policy brief","language":"en","date_published":"2012-11-30","source_url":"https://issafrica.s3.amazonaws.com/site/uploads/PolBriefAF5.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The document argues that eradicating malaria in Africa by 2025 would prevent 12 million deaths and increase the continent's economic output by nearly US$ 430 billion by 2050. Using the International Futures (IFs) tool, the authors compare a 'Base Case' of continued current efforts against a 'Malaria Eradication' scenario. They find that while eradication would lead to a slight population increase, this would be tempered by declining fertility rates resulting from lower infant mortality. The brief highlights that the economic gains, driven by increased productivity and reduced disability, would far outweigh the high costs of eradication campaigns and vaccine development.","ai_generated":true,"unit":"issafri-002657#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"If malaria were fully eradicated in Africa by 2025 and remained eradicated through 2050, approximately 12 million deaths would be avoided. The most significant reductions in mortality would occur in Nigeria and the Democratic Republic of the Congo (DRC), with each country averting about 2.5 million deaths, followed by Tanzania with over 600,000 deaths averted.","ai_generated":true,"unit":"issafri-002657#insight-1","date_modified":"2026-10-23"},{"text":"The economic impact of malaria eradication in Africa would be a cumulative increase in overall output of over US$ 430 billion by 2050. This growth would result in an absolute rise in per capita income of more than US$ 30 per person by 2050 compared to the Base Case scenario.","ai_generated":true,"unit":"issafri-002657#insight-2","date_modified":"2026-10-23"},{"text":"Eradication would significantly improve quality of life by reducing the disability rate, preventing more than 50 million years of life lived with malaria-related morbidity between 2015 and 2050.","ai_generated":true,"unit":"issafri-002657#insight-3","date_modified":"2026-10-23"},{"text":"The population of Africa in 2050 would be only about 0.03 per cent larger under the eradication scenario than in the Base Case. This limited growth is attributed to the fact that declines in infant mortality typically trigger declines in fertility rates as parents reach their desired number of children faster.","ai_generated":true,"unit":"issafri-002657#insight-4","date_modified":"2026-10-23"},{"text":"While the cost of eradication would be high—with the WHO estimating US$ 5.1 billion annually until 2020 just for control targets and up to US$ 1 billion for vaccine development—the authors argue these costs are inexpensive relative to the projected economic benefits.","ai_generated":true,"unit":"issafri-002657#insight-5","date_modified":"2026-10-23"},{"text":"The document identifies specific biological and environmental drivers of malaria in Africa, noting that the most effective transmitter, Anopheles gambiae, is found only in Africa and has developed insecticide resistance, while the most dangerous species, Plasmodium falciparum, has developed resistance to some antimalarial drugs.","ai_generated":true,"unit":"issafri-002657#insight-6","date_modified":"2026-10-23"}],"climate_tags":["public health","climate change","poverty reduction"],"geography_discussed":["Nigeria","Democratic Republic of the Congo","Tanzania","Haiti","Uganda","Taiwan","Sri Lanka"],"frame_perspective":[],"analysis_type":["scenario modelling","economic impact assessment","demographic projection"]}]}