One million conversations. Real people. Real lives.

60 Decibels has spent years building one of the world's largest and most diverse collections of lived-experience data — gathered directly from the people traditional data systems overlook.

Workers loading goods for distribution Produce vendor at a busy market Counting cash in a financial transaction

What makes this data different.

This is not web-scraped text. It is not synthetic. It is not inferred from digital footprints.

Every data point in our archive comes from a direct interview — a real conversation between a trained researcher and a real person navigating life in a low- or middle-income market. Our researchers conduct these interviews by phone, in local languages, gathering both quantitative and qualitative data through standardized, 15-minute surveys built for comparability and repetition.

The result is a dataset of extraordinary breadth and depth: over one million full surveys and tens of millions of individual responses, covering how people earn, spend, adapt to shocks, access services, and build better lives.

The breadth.

1,000,000+
Completed surveys
~100
Countries across Africa, Asia, Latin America, and beyond
1,300+
Trained researchers conducting interviews in local languages
50M+
Individual data points
Multiple sectors
Agriculture, education, financial inclusion, health, energy, gender, small business, quality jobs, supply chains

Three dimensions of understanding.

Each survey generates structured, comparable data alongside the human voice behind the numbers.

Quantitative insights

Standardized, benchmarked metrics on customer experience, satisfaction, trust, net promoter scores, access, quality of life, and more.

Qualitative depth

Open-ended responses where people describe — in their own words — what's working, what's failing, and what they need. These are the voices that make the data human.

Rich metadata

Country, region, gender, sector, product type, survey modality, and more — enabling multi-dimensional analysis across geographies and populations.

Why this matters now.

This dataset captures something that almost no other resource in the world does: how the majority of humanity actually experiences the systems, services, and decisions that shape their lives.

As AI systems grow more powerful and more pervasive, the absence of these voices from the training data isn't just an oversight — it's a structural risk. The Global Majority Data Project exists to close that gap.

See how we're unlocking it