Version 2.2 (January 2024)
📢 Now translated into French, Spanish, German and Brazilian Portuguese
* Cet outil est également disponible en français comme Google Doc ou comme PDF (et avec une feuille de calcul supplémentaire) *
* Esta herramienta también está disponible en español como Google Doc o como PDF (y con hoja de cálculo complementaria). *
* Dieses Tool ist auch auf Deutsch als Google Doc oder als PDF (und mit unterstützender Tabelle) verfügbar. *
* Esta ferramenta também está disponível em português como Google Doc ou como PDF (e com planilha suplementar). *
The goal of the Doughnut is to meet the needs of all people within the means of the living planet, but what does this mean for the neighbourhoods, cities, districts or nations where we live?
To help explore this question, DEAL has created a set of Doughnut Unrolled tools that unroll the Doughnut into four 'lenses' that consider the interplay between local aspirations and global responsibilities in your place – both socially and ecologically – and identify possible entry-points for transformative action.
This tool - Data Portrait of Place - is a handbook of approaches and useful resources for collecting locally relevant, data-led targets and indicators to create a holistic snapshot or a 'portrait' of your place's performance across each of the four lenses.
For an overview, watch the 18-min video with Andrew Fanning, DEAL's Research & Data Analysis Lead, introducing the Data Portrait of Place tool (recorded in July 2023 as part of this series of videos presenting Doughnut Economics concepts and practice). You can also access his presentation slides online using Google slides, or download the PowerPoint presentation.
The Data Portrait of Place handbook provides guidance and useful resources for you to create a holistic data-led snapshot of what it means for your place to thrive while helping to bring humanity into the Doughnut.
It invites you to collect and compare desired outcomes versus current performance of your place using available data, offering a 'portrait' to discuss complex issues, which can keep evolving as more data is made available over time. For a collection of useful examples and results from the growing number of places that have already begun using the Data Portrait as an input to transformative action, see the accompanying Data Portraits in Action tool.
DEAL encourages you to use this data-led tool together with the Community Portrait of Place tool, which provides a complementary set of participatory workshop materials that can be used to invite the people of your place to share their knowledge, ideas, lived-experience and aspirations. Together, these tools draw upon both data and other diverse contributions to build a rich, multi-layered and holistic portrait of your place.
Important note: If you wish to use these tools as part of your consultancy or professional advisory services for others, then we require that you follow DEAL's policy for consultancies and professional advisors.
Healthy living systems rely on good feedback loops and we invite your comments, reflections and suggestion from using this tool to help us iterate and evolve for future versions.
You can do this in three ways:
The Doughnut Unrolled methodology was conceptualised by Kate Raworth of Doughnut Economics Action Lab and Janine Benyus of Biomimicry 3.8, and this methodological handbook was written by Andrew Fanning, Kate Raworth, Olya Krestyaninova, and Fredrik Eriksson, with valuable contributions from Rob Shorter, Leonora Grcheva, and Ruurd Priester from Doughnut Economics Action Lab. We are so very grateful to the many, diverse contributors to this tool and earlier versions. Please see the extended acknowledgements section within the handbook for additional details.
Doughnut Unrolled - Data Portrait of Place_v2.pdf
Doughnut Unrolled - Data Portrait of Place_v2 (translated)-en-de.pdf
Doughnut Unrolled - Data Portrait of Place_v2 (translated)-en-fr.pdf
Doughnut Unrolled - Data Portrait of Place_v2 (translated)-en-es.pdf
Doughnut Unrolled - Data Portrait of Place_v2 (translated)-en-pt_br.pdf
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