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US Hiring ▼ 4.8% YoY | ▲ 7.8% MoM*India Hiring ▼ 6.3% YoY | ▲ 6.9% MoM*UK Hiring ▼ 10.7% YoY | ▲ 4.6% MoM*

Data for Impact

A Partnership for Economic Opportunity

About Data for Impact

Insights from 1B+ professionals — at no cost

Our Data for Impact program aims to empower government and multilateral partners with the economic data they need to make informed decisions and invest in programs that create economic opportunity for the global workforce. We partner with multilateral organizations, government institutions, and select public-benefit entities to share these data and insights at no cost to them.

Learn more about our partners

Our impact

Public-private partnerships generating insights to power the world of work

Our privacy-preserving datasets have helped partners generate unique insights to advance inclusive, green, and digitally-enabled economic growth. These insights, in turn, have informed $2B+ in public investments, shaped senior policy dialogues, and produced dozens of partner-led research products.

In addition to sharing data, we seek to encourage improved sharing of privately-sourced data for public good. Our Engineering teams document and share their innovations that enable this work. We collaborate with the Industry Data for Society Partnership to support peers in improved data sharing programs. And organizations like the Future of Privacy Forum have documented our best-in-class efforts to ensure these efforts center and prioritize member privacy.

  • $2B+Public investments shaped
  • 100+Partner organizations
  • 60+Countries informed
  • 1B+Professionals in the dataset
  • The German Institute for Employment Research (IAB) conducted collaborative research with LinkedIn to help predict industrial career shifts in Germany, resulting in the innovative IAB-LinkedIn Reallocation Radar.
  • The Inter-American Development Bank (IDB) leveraged LinkedIn hiring data to diagnose Latin America’s post-COVID labor market challenges and identify opportunities for recovery.
  • LinkedIn’s exploration of artificial intelligence skills informed AI ecosystem assessments undertaken by OECD.AI, Stanford HAI, and Chile’s National AI Center, CENIA.
  • The International Monetary Fund (IMF) analyzed LinkedIn data on digital skills to explore changes in the digital intensity of distinct occupations in the age of remote work.

Our process

How to partner with us

We prioritize data requests from Statistical Authorities, Central Banks, and development organizations like the World Bank, IMF, and OECD.

Interested parties can submit proposals through the Development Data Partnership portal, or reach out directly at DataForImpact@linkedin.com.

We work with Statistical Authorities, Central Banks, Workforce Development and Economic Research organizations at the national level (and state level in the US). If you work with one of these organizations and are interested in leveraging LinkedIn data, please email DataForImpact@linkedin.com.

As a founding Data Partner with the Development Data Partnership, we are pleased to work with the World Bank, IMF, OECD, IDB, UNDP, CAF, and EBRD. If you work at one of these institutions and seek LinkedIn data, you can submit a proposal for review here.

We are pleased to comply with EU DSA Article 40(12). Learn more about researcher access related to this Act here.

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*Hiring data is updated monthly to reflect data from the prior month.