We provide granular, timely GDP data across Europe

Using alternative datasources like high-resolution satellite imagery and machine learning, we made the world’s first monthly subnational GDP dataset at a NUTS3 level.

Affiliated/ working with

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GDP data for +1,600 regions across Europe released before official statistics

Our data is granular, timely, frequently updated, and accurate.

Granular

GDP figures for +1,600 NUTS-3 regions across 26 European countries

  • Our data covers NUTS 0-3 regions.
  • The last official GDP statistics are from 2019. We have monthly estimates from 2015 to 2021.   
Timely

We release GDP data before official sources, like the Office of National Statistics or Eurostat. 

Our estimates are released with a one month lag. So data for January 2021 was released in March 2021.

This is significantly quicker than the 18 month lag of official sub-national datasets.

Frequent

We provide new GDP estimates every month.

Our dataset covers monthly GDP estimates from January 2015 to the current month.

Accurate

We ensure data accuracy by:

  • using deep learning to continually improve estimates
  • benchmarking data against official datasets
  • ensuring our methodology uses best academic practice

The RMSE of our data is 1%.

How it works

We take high-resolution satellite imagery and transform luminosity data into GDP estimates using machine learning.

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Night light luminosity data taken from satellite imagery, has been used as a proxy for GDP, dating back to 2012 in the American Economic Review. We combine traditional approaches with proprietary machine learning methods.

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We combine world-class Economics with bleeding-edge tech

We are a team of doctoral/post-doctoral researchers from the London School of Economics, partnered with the European Space Agency BIC UK. We have published in peer-reviewed journals, designed policies for national governments, and are powered by bleeding-edge tech like Open AI’s GPT-3.

Rigorous

We have published papers on transforming night light luminosity into GDP in peer-reviewed journals like The Journal of Development Studies (2021)

See paper

Tech-driven

We use deep learning to produce accurate, granular GDP estimates.

We are partnering with the European Space Agency BIC UK to produce these estimates.

Academic

Our team is composed of doctoral and post-doctoral researchers from the Department of Economic Geography at the London School of Economics, the #1 ranked institution in Economic Geography in the world

Source: IDEAS – largest bibliographic database dedicated to Economics on the internet. Based on RePEc, IDEAS indexes over 3,600,000 items of research.

Policy-oriented

We have previously created computable general equilibrium models, macroeconomic forecasts (at the national and sub-national level), and conducted policy evaluations for NGOs, such as the Institute for State Effectiveness, research institutions like the London School of Economics, and government agencies such as the Afghan Ministry of Finance.

Flexible delivery

We provide our data in flexible formats, including:

  • Raw CSV
  • Amazon S3/ Google Cloud Storage
  • API

Our data is conveniently formatted to allow easy combination with other datasets.

Monthly GDP Newsletter

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Interested in bespoke consulting?

We have created computable general equilibrium models, macroeconomic forecasts (at the national and sub-national level), and conducted policy evaluations for NGOs, such as the Institute for State Effectiveness, research institutions like the London School of Economics, and government agencies like the Afghan Ministry of FinanceSome services we offer:

  • Data visualisation
  • Policy & strategy
  • Forecasting/ modelling

Get access to our dataset