Consulting Report
21 Oct 2025

The Socioeconomic Impacts of Amazon Investments on local communities

New research from Oxford Economics finds that the opening of Amazon fulfilment centers lifts up local communities by increasing economic vitality while reducing hardship

Oxford Economics has undertaken a new research programme to shed new light on the impacts of how a new Amazon fulfilment center can help transform a host community.

The independent analysis of a large number of U.S. counties where Amazon added at least 1,000 jobs in a single year found that, five years later, those counties experienced gains compared to counties without such investments. These gains included increased new business formation, lower unemployment rates, higher weekly wages, higher rates of labor force participation and reduced reliance on Medicaid assistance.

This research demonstrates that large businesses like Amazon can significantly contribute to the well-being of the communities they enter. Furthermore, our findings show that these benefits are not short-lived but continue to grow over time.

This report was brought to you by the Economic Consulting team.
Oxford Economics specialises in forecasting, economic impact analysis, and evidence-based thought leadership. Our economists and analysts draw from a rich database of figures and analysis on 200 countries, 100 sectors, and 7,000 cities and regions.
The experts behind the research
  • Laurence Wilse-Samson

    Laurence Wilse-Samson

    Lead Economist, Economic Impact
    Laurence Wilse-Samson

    Lead Economist, Economic Impact

    Laurence is a Lead Economist in the economic consulting team in New York. He was previously Director of Policy Research and Economics at Bird, the electric scooter company. He has extensive experience performing economic modeling, research and analysis for private and public organizations and has worked doing economic analysis for litigation consulting at companies in the US and UK. He has also lectured at the University of Johannesburg, the University of Cape Town, and NYU. He has a PhD in economics from Columbia University.

  • Luke Miller

    Luke Miller

    Head of Data Science and Machine Learning for EI, Economic Impact
    Luke Miller

    Head of Data Science and Machine Learning for EI, Economic Impact

    Luke leads the Data Science and Machine Learning team across Economic Impact at OE with over 7 years' experience working as a professional econometrician. He holds extensive experience building and deploying econometric models, with a focus on leveraging machine learning and artificial intelligence technologies.

  • Avantika Tandon

    Avantika Tandon

    Assistant Economist, Economic Impact
    Avantika Tandon

    Assistant Economist, Economic Impact

    Avantika is an Assistant Economist on the U.S. Economic Impact team. Before pursuing her master’s degree, she worked as a Pre-Doctoral Fellow at Boston College, focusing on retirement research. She holds a Master’s degree in Quantitative Economics from NYU and a Bachelor’s degree in Economics and Psychology from Boston University.

  • Boubacar Drame

    Boubacar Drame

    Head of Econometrics Methods​
    Boubacar Drame

    Head of Econometrics Methods​

    Boubacar Drame is Head of Econometrics Methods at Oxford Economics. He has been with the OE for nearly right years. Prior to this, he was Head Of Econometrics at PwC. He holds extensive experience in building econometric models for private sector clients as well as various government institutions, both in the UK and overseas. ​

    Before joining PwC, Boubacar was awarded the Clive Granger Scholarship to pursue a PhD programme in Econometrics at Nottingham University specialising in time series econometrics. During his PhD, Boubacar worked as a teaching assistant for the MSc in Econometrics and Advance Macroeconomics classes. Boubacar holds an MSc in Econometrics from Nottingham University with distinction, and MSc in Economics from the LSE and a degree in Economics and Management from Oxford Brookes University where I was awarded both the Frank Sharegold Prize for best graduate students in economics and the Mathematics Prize for achieving a perfect score.​

  • Elchin Mustafayev

    Elchin Mustafayev

    Senior Econometrician
    Elchin Mustafayev

    Senior Econometrician

    Joined Oxford Economics in July 2023; previously Senior Economist, Modelling Division, Central Bankof Azerbaijan. He holds extensive experience in building comprehensive macro-econometric modelsfor forecasting, causal inference and policy evaluations. Recent work includes building a dynamicmicrosimulation framework to evaluate welfare reforms and labour-market responses. He previouslyserved in the modelling division of the Central Bank of Azerbaijan. Elchin holds a Ph.D. in Economicsfrom the University of Nottingham.​

    Get instant access to read this report

    Get in touch

    Learn more about this report or how our team could support you:

    You might be interested in

    Global Tech Spend Forecasts

    Unlock success with enterprise IT spending forecasts for 35 industries and 25 countries.

    US Tech Spend Forecasts

    Plug into success with unparalleled IT spending market intelligence

    Global Industry Model

    An integrated model covering 100 sectors across 77 countries and the Eurozone.

    Industry Scenarios

    Quantifying the impact of policy changes and other risk events on industrial sectors.

    [autopilot_shortcode]