{"query_echo":{"q":"","filters":{"geography":["Umeå Municipality"]},"warnings":[{"code":"facet_value_not_in_vocabulary","message":"Value 'Umeå Municipality' for facet 'geography' is not in the controlled vocabulary."}]},"total":{"value":6,"relation":"eq"},"page":1,"page_size":20,"self":"https://climateinsightsdirectory.org/api/v1/search?geography=Ume%C3%A5+Municipality","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-002359","url":"https://climateinsightsdirectory.org/document/sei-002359","title":"Sveriges konsumtionsbaserade utsläpp i siffror","publisher":{"name":"Stockholm Environment Institute","organization":"stockholm-environment-institute"},"document_type":"briefing","language":"sv","date_published":"2026-05","source_url":"https://www.sei.org/wp-content/uploads/2026/05/konsumtionskompassen-siffror-sei2026-013.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The briefing details consumption-based emissions for Swedish households in 2023, highlighting that while total emissions per person are similar across different municipality groups, the composition of these emissions varies by geography and income. It introduces the Consumption Compass 2.0 as a tool for local governments to identify emission hotspots and implement precise, inclusive climate policies.","ai_generated":true,"unit":"sei-002359#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Transport is the largest source of household emissions at 37%, followed by food (21%), housing energy use (14%), and leisure activities (8%). The highest specific emission drivers are car use, air travel, animal-based foods (meat and dairy), and district heating.","ai_generated":true,"unit":"sei-002359#insight-1","date_modified":"2026-10-23"},{"text":"While total emissions per person are relatively similar across different municipality groups (with a difference of about 335 kg), the drivers differ: larger cities show higher emissions from air travel and goods/services, whereas rural areas have higher emissions from car travel and electricity use.","ai_generated":true,"unit":"sei-002359#insight-2","date_modified":"2026-10-23"},{"text":"Significant emission variations exist at the local demographic statistics area (DeSO) level, with the highest-emitting DeSO producing more than double the emissions of the lowest-emitting area, a difference of 5,407 kg CO2e.","ai_generated":true,"unit":"sei-002359#insight-3","date_modified":"2026-10-23"},{"text":"There is a clear correlation between household income and climate footprint, particularly regarding air travel, interior design, clothing, and furniture, although geography and transport needs also play roles.","ai_generated":true,"unit":"sei-002359#insight-4","date_modified":"2026-10-23"},{"text":"Between 2019 and 2023, emissions were heavily influenced by the COVID-19 pandemic, which saw a nearly 20% drop in total emissions due to decreased air travel. While car travel emissions showed a downward trend across all municipality groups during this period, air travel in larger cities returned to near pre-pandemic levels by 2023, whereas rural areas remained significantly lower.","ai_generated":true,"unit":"sei-002359#insight-5","date_modified":"2026-10-23"}],"climate_tags":["greenhouse gas emissions","climate policy","Transportation emission","climate justice"],"geography_discussed":["Stockholm","Lund Municipality","Kalmar Municipality","Umeå Municipality","Malmö Municipality"],"frame_perspective":[],"analysis_type":["statistical analysis","trend analysis","geographic analysis"]},{"id":"sei-001743","url":"https://climateinsightsdirectory.org/document/sei-001743","title":"Konsumtionskompassen","publisher":{"name":"Stockholm Environment Institute","organization":"stockholm-environment-institute"},"document_type":"briefing","language":"sv","date_published":"2022-09","source_url":"https://www.sei.org/wp-content/uploads/2022/09/sei-konsumtionkompassen-axelsson.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The Stockholm Environment Institute (SEI) has developed 'Konsumtionskompassen' (version 1.0), a digital tool that estimates the climate impact of household consumption across all Swedish municipalities down to the postal code level. The tool covers over 110 consumption categories, identifying 'hotspots' to help local governments implement targeted climate measures. Findings indicate significant disparities in footprints between resource-poor and resource-rich areas, and highlight that while average footprints are similar across municipalities, the composition of emissions varies by urbanisation and geography.","ai_generated":true,"unit":"sei-001743#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"There are substantial differences in consumption-based climate impacts between Swedish households, ranging from approximately 3.5 tonnes of CO2e per person per year in resource-poor areas to nearly 18 tonnes in resource-rich areas.","ai_generated":true,"unit":"sei-001743#insight-1","date_modified":"2026-10-23"},{"text":"On average, the total consumption-based emissions for Swedish households are 6.3 tonnes of CO2e per person per year, with transport being the largest contributing category at 42% of emissions.","ai_generated":true,"unit":"sei-001743#insight-2","date_modified":"2026-10-23"},{"text":"While average climate footprints are similar across most municipalities, the specific drivers vary: urban areas show higher footprints due to increased flying, whereas rural areas have higher footprints from car use.","ai_generated":true,"unit":"sei-001743#insight-3","date_modified":"2026-10-23"},{"text":"Geographic location influences energy consumption, specifically with residents in northern Sweden using more energy for heating.","ai_generated":true,"unit":"sei-001743#insight-4","date_modified":"2026-10-23"},{"text":"The tool's calculations are approximately one tonne higher than official Swedish figures from SCB because it includes long-distance flights and high-altitude effects.","ai_generated":true,"unit":"sei-001743#insight-5","date_modified":"2026-10-23"}],"climate_tags":["sustainable consumption","transportation","aviation"],"geography_discussed":["Umeå Municipality","Kalmar Municipality","Stockholm Municipality"],"frame_perspective":[],"analysis_type":["tool description","statistical analysis"]},{"id":"sei-001265","url":"https://climateinsightsdirectory.org/document/sei-001265","title":"Carbon Neutral Digestive Initiative (CANDI) SEI report","publisher":{"name":"Stockholm Environment Institute","organization":"stockholm-environment-institute"},"document_type":"report","language":"en","date_published":"2019-12","source_url":"https://www.sei.org/wp-content/uploads/2019/12/carbon-neutral-digestive-initiative-candi-sei-report.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The CANDI project's first stage identified a need for standardized carbon footprint calculation models in the food industry to build consumer trust and drive behavioral change. While consumers expressed a willingness to alter food choices based on environmental data, the report highlights that such information must be easily digestible and provided at the point of decision-making. The project also notes a lack of transparency in industry methods and a need for government support to manage the socio-economic trade-offs of transitioning to sustainable diets.","ai_generated":true,"unit":"sei-001265#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"There is a significant gap in how carbon footprints for food are calculated, with a lack of standardized methods and transparency regarding assumptions and indicators. This inconsistency can lead to different results for the same product, which confuses consumers and reduces trust in the data.","ai_generated":true,"unit":"sei-001265#insight-1","date_modified":"2026-10-23"},{"text":"Consumers indicated a willingness to change their food choices if provided with environmental impact information, provided that the data is easy to understand and delivered at the moment of purchase or other key decision-making points to foster long-term learning.","ai_generated":true,"unit":"sei-001265#insight-2","date_modified":"2026-10-23"},{"text":"Current industry systems are unable to trace specific ingredients throughout the supply chain, meaning carbon footprints are typically calculated as averages rather than for specific brands.","ai_generated":true,"unit":"sei-001265#insight-3","date_modified":"2026-10-23"},{"text":"While retailers and restaurants collect customer purchase data via apps, it is unclear if this data is being used to encourage sustainable behavioral changes or primarily for advertising and trend adaptation.","ai_generated":true,"unit":"sei-001265#insight-4","date_modified":"2026-10-23"},{"text":"Transitioning to sustainable diets, such as those proposed by the EAT-Lancet Commission, may present socio-economic challenges, including potential unaffordability for low-income groups and negative impacts on industry stakeholders.","ai_generated":true,"unit":"sei-001265#insight-5","date_modified":"2026-10-23"},{"text":"The Swedish government could facilitate a dietary shift through procurement legislation, social programs in workplaces and schools, and by supporting the industry in sourcing sustainable products.","ai_generated":true,"unit":"sei-001265#insight-6","date_modified":"2026-10-23"}],"climate_tags":["carbon footprint","Net-zero emissions","greenhouse gas emissions"],"geography_discussed":["Umeå Municipality","World"],"frame_perspective":[],"analysis_type":["stakeholder engagement","consumer preference survey","options appraisal"]},{"id":"sei-001235","url":"https://climateinsightsdirectory.org/document/sei-001235","title":"Utmaningar och möjligheter i kommunernas arbete med hållbar konsumtion","publisher":{"name":"Stockholm Environment Institute","organization":"stockholm-environment-institute"},"document_type":"report","language":"sv","date_published":"2019-10","source_url":"https://www.sei.org/wp-content/uploads/2019/12/axelsson-unlock-report-2019.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The report analyzes the efforts of Swedish municipalities to promote sustainable consumption across their own operations, households, and local businesses. While many municipalities work systematically within their own operations—focusing on vehicles, food, and energy—there is significantly less focus on households and businesses. A critical gap exists in monitoring the environmental impact of procurement, with nearly half of the surveyed municipalities performing no such assessment. The report identifies economic motives and national guidelines as primary drivers, while highlighting a severe need for political support, financial resources, and standardized data tools. It recommends that municipalities establish systematic procurement analysis, that local politicians prioritize sustainable consumption, and that the government tasks regional administrative boards (länsstyrelsen) with coordinating these efforts.","ai_generated":true,"unit":"sei-001235#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"A majority of surveyed municipalities work systematically with sustainable consumption within their own operations, but far fewer target other actors: approximately 30% work to promote sustainable consumption among residents and about 25% target the business sector and other organizations.","ai_generated":true,"unit":"sei-001235#insight-1","date_modified":"2026-10-23"},{"text":"Municipalities primarily focus their sustainability efforts on vehicle use, food, heating, electricity, and waste within their own operations, while areas with high documented climate impact, such as IT, electronics, and furniture, are addressed by only a limited number of municipalities.","ai_generated":true,"unit":"sei-001235#insight-2","date_modified":"2026-10-23"},{"text":"There is a significant lack of monitoring regarding the environmental impact of municipal procurement; nearly half of the municipalities reported that they did not perform any assessment of the environmental or climate impact of their purchases in the past year.","ai_generated":true,"unit":"sei-001235#insight-3","date_modified":"2026-10-23"},{"text":"Economic motives are the most significant driver for sustainable consumption work in municipalities, followed by national guidelines and policy instruments.","ai_generated":true,"unit":"sei-001235#insight-4","date_modified":"2026-10-23"},{"text":"Municipal officials identify political support as the most critical need to advance sustainable consumption, followed by financial resources, information, and legislation.","ai_generated":true,"unit":"sei-001235#insight-5","date_modified":"2026-10-23"},{"text":"Approximately 40% of municipalities have either established or are in the process of establishing a consumption-based sustainability goal for the municipality as a geographic entity.","ai_generated":true,"unit":"sei-001235#insight-6","date_modified":"2026-10-23"},{"text":"There is a marked difference between municipality groups regarding food consumption goals: nearly 80% of municipalities in Group A (large cities and nearby areas) aim to reduce animal-based diets, compared to approximately 40% in Groups B and C.","ai_generated":true,"unit":"sei-001235#insight-7","date_modified":"2026-10-23"},{"text":"Innovation procurement is rarely used to promote sustainable consumption, with only 15% of responding municipalities having applied it on one or more occasions.","ai_generated":true,"unit":"sei-001235#insight-8","date_modified":"2026-10-23"}],"climate_tags":["sustainable consumption","sustainable procurement","food system","climate finance","waste management","energy efficiency"],"geography_discussed":["Umeå Municipality","Eskilstuna Municipality","Lund Municipality","Upplands Väsby Municipality","Uppsala Municipality","Gävle Municipality","Knivsta Municipality","Botkyrka Municipality","Stockholm Municipality"],"frame_perspective":[],"analysis_type":["survey","policy analysis"]},{"id":"sei-001127","url":"https://climateinsightsdirectory.org/document/sei-001127","title":"Konsumtionsbaserade utsläpp i Umeå kommun","publisher":{"name":"Stockholm Environment Institute","organization":"stockholm-environment-institute"},"document_type":"report","language":"sv","date_published":"2018-12","source_url":"https://www.sei.org/wp-content/uploads/2019/06/2019-sei-report-umea-konsumtionbaserad-utslapp.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The report analyzes the consumption-based greenhouse gas emissions of Umeå residents, finding an average footprint of 9.77 tonnes CO2e per person for survey participants (aged 20-84), which scales to 7.6 tonnes CO2e per person for the total population. Travel, particularly aviation and car use, is identified as the primary emission source, followed by food. The report identifies 'hotspots' including meat consumption, aviation, and housing energy, and recommends administrative, economic, and informative policy tools to reduce these impacts.","ai_generated":true,"unit":"sei-001127#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Travel is the largest contributor to the climate footprint among respondents, generating 4.7 tonnes CO2e per person, with aviation accounting for 3.05 tonnes and car travel for 1.52 tonnes.","ai_generated":true,"unit":"sei-001127#insight-1","date_modified":"2026-10-23"},{"text":"Food consumption is the second largest source of emissions at 2.5 tonnes CO2e per person, which is approximately 10% higher than the Swedish national average of 2.1 tonnes.","ai_generated":true,"unit":"sei-001127#insight-2","date_modified":"2026-10-23"},{"text":"Climate impact varies by age and gender; the lowest footprint is found among men aged 20-29 (9.15 tonnes CO2e), while the highest is among men aged 50-64 (11.06 tonnes CO2e).","ai_generated":true,"unit":"sei-001127#insight-3","date_modified":"2026-10-23"},{"text":"The report identifies specific 'hotspots' for emission reductions: aviation and car use in travel; meat consumption, dairy products, and food waste in food; housing energy in housing; and clothing and furniture in gadgets.","ai_generated":true,"unit":"sei-001127#insight-4","date_modified":"2026-10-23"},{"text":"Umeå residents fly significantly more than the Swedish average, with private domestic flights averaging 2.3 trips per year and private European flights 1.4 trips per year.","ai_generated":true,"unit":"sei-001127#insight-5","date_modified":"2026-10-23"},{"text":"Regarding housing energy, 50% of respondents use district heating, 23% use heat pumps, and 8.6% use direct-acting electricity; only 18% have origin-marked or environmentally marked electricity.","ai_generated":true,"unit":"sei-001127#insight-6","date_modified":"2026-10-23"},{"text":"The report suggests various policy tools for the municipality, including administrative measures (urban densification via the comprehensive plan), economic measures (differentiated waste taxes for food waste), and informative measures (integrating climate impact into school curricula).","ai_generated":true,"unit":"sei-001127#insight-7","date_modified":"2026-10-23"}],"climate_tags":["carbon footprint","aviation","road transport","food waste","district heating","heat pump","renewable electricity","urban planning","sustainable consumption"],"geography_discussed":["Sweden"],"frame_perspective":[],"analysis_type":["quantitative analysis","comparative analysis","policy recommendation"]},{"id":"sei-001116","url":"https://climateinsightsdirectory.org/document/sei-001116","title":"Att se hela bilden – Del 2 Klimatpåverkan från den offentliga sektorns konsumtion: Livsmedel och transporter","publisher":{"name":"Stockholm Environment Institute","organization":"stockholm-environment-institute"},"document_type":"research paper","language":"sv","date_published":"2018-07","source_url":"https://www.sei.org/wp-content/uploads/2018/09/180906a-gill-axelsson-wwf-roadmap-part2-wp-1806k.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The report examines the climate footprint of Swedish public sector consumption, highlighting that municipal activities account for approximately 70% of public consumption-based emissions. Through case studies of Eskilstuna and Umeå, the document analyzes quantitative, qualitative, and transformative measures to reduce emissions from food and transport. Key findings indicate that while administrative and informative tools are common, more powerful transformative changes—such as establishing vegetarian norms and urban densification—are necessary to meet long-term climate goals. The report recommends that Sweden establish consumption-based emission targets for 2030 and 2045 to complement territorial goals.","ai_generated":true,"unit":"sei-001116#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Consumption-based greenhouse gas emissions for individuals in Sweden are approximately double the territorial emissions, totaling nearly 11 tons of CO2e per person per year, compared to territorial emissions of just over 5 tons.","ai_generated":true,"unit":"sei-001116#insight-1","date_modified":"2026-10-23"},{"text":"Public sector consumption and investments account for about 15% of Sweden's total consumption-based emissions, amounting to over 15 million tons of CO2e in 2015. Municipalities are responsible for approximately 70% of these public consumption-based emissions.","ai_generated":true,"unit":"sei-001116#insight-2","date_modified":"2026-10-23"},{"text":"Analysis of Sollentuna municipality shows that food is the single largest consumption category contributing to climate impact, followed by transport, energy (electricity and heating), and computers.","ai_generated":true,"unit":"sei-001116#insight-3","date_modified":"2026-10-23"},{"text":"Eskilstuna and Umeå employ a mix of quantitative, qualitative, and transformative measures for food. Effective quantitative measures include individualizing portion sizes in elderly care and implementing vegetarian days in schools to reduce meat consumption.","ai_generated":true,"unit":"sei-001116#insight-4","date_modified":"2026-10-23"},{"text":"To reduce transport emissions, municipalities use administrative tools such as travel policies that prioritize walking, cycling, and rail over flying and cars, and qualitative measures like transitioning to fossil-free vehicle fleets.","ai_generated":true,"unit":"sei-001116#insight-5","date_modified":"2026-10-23"},{"text":"Urban planning and densification are identified as critical transformative tools to fundamentally reduce the need for transport by minimizing distances and prioritizing non-car mobility.","ai_generated":true,"unit":"sei-001116#insight-6","date_modified":"2026-10-23"},{"text":"The report concludes that current local policy mixes in Eskilstuna and Umeå are steps in the right direction but insufficient to reach the long-term goal of 1.5 tons of CO2e per person from a consumption perspective.","ai_generated":true,"unit":"sei-001116#insight-7","date_modified":"2026-10-23"},{"text":"The authors recommend that the Swedish government establish consumption-based emission targets for 2030 and 2045 and mandate municipalities to develop time-bound action plans for sustainable consumption patterns.","ai_generated":true,"unit":"sei-001116#insight-8","date_modified":"2026-10-23"}],"climate_tags":["food system","sustainable transport","urban planning","government procurement","life cycle assessment"],"geography_discussed":["Eskilstuna Municipality","Umeå Municipality","Lund Municipality","Upplands Väsby Municipality"],"frame_perspective":[],"analysis_type":["case study","policy analysis","statistical analysis"]}]}