DBnomics, the world's economic database

DBnomics is a free platform to aggregate publicly-available economic data provided by national and international statistical institutions, but also by researchers and private companies.


An Open Platform

One website aggregating global data and one API. Data series delivered in various formats (CSV, Excel XLSX, JSON). Direct access from your statistical software (R and Python).

Automatic updates

Automatic updates

Data series are available upon release by the provider. Keep your economic dashboard and economic indicators up-to-date. Each revision is archived to build a real-time database.

Reproducible results

Reproducible results

Each data series has a unique ID. You can retrieve the exact dataset researchers used, and reproduce the same results using their code.

The value-added is a unique economic database with wide, systematic coverage of economic data.

The field of data covered by DBnomics is economics in its broadest sense. The data included also covers population and living conditions, environment and energy, agriculture, finance, trade, etc. The only restrictions for the moment concern the nature of the data, which must be time series, and the frequency of the data, which must be daily at most.

It is conceived as a tool to improve data handling process in economics, with three objectives: (i) simplifying retrieval of economic data, (ii) automatically providing updated data, (iii) allowing reproducible results.

DBnomics dataflow

The website is accessible for all users, with different search tools depending on needs: search bar, category tree similar to the provider. Data can be downloaded in CSV, XLSX, HTML or JSON.

These data are updated regularly and former updates have been archived so as to build overtime a real time database. Moreover, data can be downloaded directly by a broad spectrum of econometric and statistical analysis softwares using the utilities provided by the project.

It is designed as a public good and can be considered as an open library gathering code to download data from the original producer and convert the data into a standard format. Our goal is to create a community of users but also a community of contributors around this free project.

Eventually, we would like to thank the institutions without whom this project could not be maintained: Agence Française de Développement, Banque de France, Cepremap, France Stratégie.