Social Connections Survey

Understanding social connectedness around the world to identify parts of the world experiencing loneliness.

About Dataset

Gallup, Meta and a group of academic advisors collaborated to design and conduct the Social Connections Survey, which offers a first look at how social connections vary across diverse geographic regions. The survey was administered through face-to-face or phone interviews with people aged 15 and older in seven countries. The data provides an in-depth look at the extent to which people feel connected, socially supported and lonely in different parts of the world. The data also sheds new light on the characteristics of people’s social connections, the ways people interact with others, the groups with whom they have frequent contact, and how they connect with others to get support when they need it.

Please see the State of Social Connections Study on the Data for Good website for more information and a report with key findings. Aggregate country-level data for each item in the survey is publicly available below. Controlled access microdata is available for request through the Data for Good Program at Meta.

Important Notes

The datasets are intended for general informational purposes only and should not be used for any commercial or navigational purposes.
We strive to provide accurate and up-to-date information, but we cannot guarantee the accuracy or completeness of the datasets.
We fully respect the territorial integrity of India and acknowledge its sovereignty over all its territories. However, due to limitations in access and data collection, some of our datasets do not cover certain territories.

Disclaimer

Meta makes no representation or warranty, express or implied, including without limitation, any warranties of fitness for a particular purpose or warranties as to the quality, accuracy or completeness of data or information. By accessing this data, researchers acknowledge that the data may contain some nonconformities, defects, or errors. Meta does not warrant that the data will meet the researcher's needs or expectations, that the use of the data will be uninterrupted, or that all nonconformities, defects, or errors can or will be corrected.