Global data by knoema

Knoema makes it easy to work with notoriously hard-to-collect data

There is often a misperception that Knoema simply has a lot of public data. We don’t just compile data in one location; we provide data that is both easy and hard to find, and in some cases data that might be “public” but is not readily accessible, or accessible in a format that’s not usable.

Data by source type

What Separates Our Database?

Magnitude
The breadth and depth of this data spans countries, industries, and agencies with datasets that number in the billions

Relevance
The curation, standardization, and processing of global and client internal data connects users to datasets that are hyper-relevant to their workflows

Uniqueness
We’ve differentiated ourselves by investing significantly to find, access, and format both hard to acquire and hard to integrate datasets

Proprietary software
We’ve developed and refined a proprietary data management software toolkit that sits at the core of our data normalization, integration, and updating process

Complexity
Our data ingestion mechanisms range from modern APIs and hundreds of custom software routines to the capture of non-machine-readable PDFs, all of which are validated by a sophisticated and proven data management process and team

Knoema doesn’t just archive and organize data, we make it discoverable

At Knoema, we don’t just want to have the world’s largest repository of data, we want to solve challenges related to finding and using it, so that our users can save time getting to exactly what they need. As such, we organize our data geographically in our data atlas, and also by industry, categories, and sources. To see how this coverage looks over the globe, we have a searchable Data Coverage Matrix that helps showcase the breadth and depth of our data coverage by location and category.

Above all, we focus on ensuring the data we have is useful to our clients

In addition to volume, we’re also passionate about ensuring that we have datasets that are universally useful, with great resources to answer the most searched queries by data scientists and analysts across the web.