Resource context (Publisher & Authors)
ONE SHARED HOUSE 2030 is an online speculative research resource built around a playful “collaborative survey” set in the year 2030, designed to explore what people around the world consider an ideal co‑living arrangement. The project is presented under the publisher name “One Shared House 2030” and was created by the design studio Anton & Irene in collaboration with SPACE10.
Purpose and overall framing
The resource positions co‑living as a response to several intertwined challenges affecting housing and everyday life: rapid urbanisation, rising housing costs, and increasing experiences of loneliness and social isolation. It is described as a sequel to the interactive documentary “ONE SHARED HOUSE”, and it uses narrative, visuals, and an app-like flow (including language such as “reserve your spot for 2030”) to prompt participants to reflect on what they would actually share—and what they would not—in a future shared home.
Urban trends and housing pressures
In its contextual framing, the project references large-scale demographic and urban trends. It points to projections that the global population could reach around 8.5 billion by 2030, and that about 70% of people are expected to live in urban areas. The resource connects these trends to intensified pressure on housing supply, infrastructure, and social life in cities—conditions that make new housing models, including co‑living and co‑housing, relevant to questions of affordability and wellbeing.
What the survey asks and how it works
The central method is an exploratory survey that invites “people of all ages, in any life situation, from all countries” to respond to questions about their preferred co‑living setup. It covers topics such as who they would want to live with, ideal group size, how much privacy they need, which amenities and services they would share (for example kitchens or common rooms), and how responsibilities and governance might be organised. Rather than using a standard questionnaire format, it is designed as a conversational, game-like experience to encourage self-reflection on practical willingness to share.
Data approach and intended audience
The project describes its approach as exploratory and qualitative in spirit: it aims to map attitudes, values, and desires across cultures, rather than produce a statistically representative global dataset. The collected survey data is described as open-source and anonymous, positioned as a free resource for designers, researchers, developers, and policymakers working on housing and co‑living concepts.
Patterns highlighted in the results
As presented in the project’s own summaries, respondents come from diverse age groups, family situations, and countries, and the results emphasise that there is no single “ideal” co‑living model. Flexibility is framed as crucial. A recurring pattern highlighted is a preference for selectively shared spaces and services—such as communal kitchens, common rooms, or shared cleaning—combined with the need for meaningful private space for sleeping, working, or retreat. The resource also reports interest in co‑living arrangements that prioritise community, affordability, and quality of life, suggesting that co‑living can be perceived as aspirational when it is intentionally designed.
Implications for sustainable housing and co-living design
For practitioners, the resource argues against one-size-fits-all solutions and instead promotes modular, customisable co‑living concepts that can vary by community scale, degree of sharing, and intended resident groups. It also underscores that successful co‑living depends not only on architectural and spatial design, but on “social contracts” and everyday governance: rules, shared responsibilities, routines, and mechanisms that can support trust and reduce conflict. Alongside the survey outputs, the project’s curated references to co‑housing, micro‑apartments, sharing economies, loneliness, changing household forms, and historical communal living traditions are positioned as supporting material for developing and testing new housing models.