Marketing data and research
Find external data for market research, competitor analysis and content: data tools, public datasets, industry benchmarks, surveys and reports. Compare coverage, access and limitations.
Add employment, wages, prices and other labor-market context to a market or workforce analysis.
Coverage: United States and, for some programs, state and local geographies · Historical time series by BLS program and series
Size addressable technical roles, map buyer/user personas, design skills taxonomies, and compare skill requirements across developer, data, and infrastructure occupations. It supplies a structured, reusable skills ontology that can inform developer-product segmentation and workforce analytics.
Coverage: Use the geography stated by the source; coverage can vary by dataset and release. · Size addressable technical roles, map buyer/user personas, design skills taxonomies, and compare skill requirements across developer, data, and infrastructure occupations.
Build workforce-market intelligence, hiring and compensation benchmarks, economic indicators, or country/sector datasets for developer-facing research and planning products. Good fit for data-product founders serving workforce analytics, global expansion, economic research, and evidence-backed market-sizing workflows.
Coverage: Use the geography stated by the source; coverage can vary by dataset and release. · Build workforce-market intelligence, hiring and compensation benchmarks, economic indicators, or country/sector datasets for developer-facing research and planning products.
Build a workforce-planning or pricing dashboard that benchmarks software/data-product customer regions using employment, wage, and labor-series trends. Strong for founders targeting employers, recruiters, skills platforms, or technical-workforce analytics; BLS series IDs can be embedded in repeatable product queries.
Coverage: Use the geography stated by the source; coverage can vary by dataset and release. · Build a workforce-planning or pricing dashboard that benchmarks software/data-product customer regions using employment, wage, and labor-series trends.
Power job-to-skill matching, technical persona discovery, or a developer-tool onboarding recommender by mapping occupations to tasks, knowledge, skills, and crosswalks. Strong for HR-tech, learning, recruiting, workforce intelligence, and developer-skills products that need a standardized occupation/skill ontology.
Coverage: Use the geography stated by the source; coverage can vary by dataset and release. · Power job-to-skill matching, technical persona discovery, or a developer-tool onboarding recommender by mapping occupations to tasks, knowledge, skills, and crosswalks.
AI workforce exposure, geographic adoption and developer use cases
Coverage: Global and US states · Country, state, occupation/task and usage mode
Workforce sizing, demographic segmentation, labor-market and socioeconomic analysis
Coverage: United States and international populations, collection-dependent · Person/household/household member, geography, survey/census year and variable
Workforce, demographics, household segmentation and cross-country demand research
Coverage: 104 countries; 656 censuses/surveys · Individual/household microdata; census/survey wave