|Indicator||What it is||Sample insight||Sample use cases|
|LinkedIn Hiring Rate||The share of workers in an industry or country that added a new employer to their LinkedIn profile.||Between Jan and Mar 2022, the hiring rate in Ecuador’s manufacturing sector exceeded that of other LatAm manufacturing sectors.|| |
|Career Transitions||The number of job-to-job moves between occupations, industries, or countries.||Artificial Intelligence Specialists are moving from Tech to Manufacturing with increasing frequency.|| |
|Skills Genome||A ranked list of the 50 skills that are most representative of a given occupation, industry, or country.||In the past 5 years, SQL has become a critical skill for data scientists around the world.|| |
|Skills Similarity||The skills similarity of two occupations or industries (as described by their top 50 most representative skills).||Hospitality workers have 55% of the skills needed to become Customer Service Representatives.|| |
|Skills Penetration||The share of an occupation’s, industry’s, or country’s top 50 skills that come from a singular skills group.||Technological skills play a larger role in the Brazilian financial sector than they do in the financial sector of any other major Latin American economy.|| |
Can LinkedIn data answer the proposed research or program question(s)?
Will this proposal directly inform policies, programs, or investments that generate economic opportunity for current or future workers?
How would the use of LinkedIn data add to this project? Would using existing, publicly available datasets suffice?
Will the proposed project help make the world of work more equitable, sustainable, and resilient?