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J·BJon BishopIndependent growth marketer

Workforce data · international labor statistics

ILOSTAT: coverage and access

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.

What it covers

Geography and granularity

Geography: Use the geography stated by the source; coverage can vary by dataset and release.

Granularity: Build workforce-market intelligence, hiring and compensation benchmarks, economic indicators, or country/sector datasets for developer-facing research and planning products.

Source type: international labor statistics

Potential use

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.

Access and cost

Web, download, or API

ILOSTAT provides indicator downloads and a bulk-download facility with data in zipped CSV format; its getting-started guidance also points automated users to SDMX-based APIs.

Cost: Current price was not established in this review; check the provider's access terms.

Update cadence: Release cadence was not normalized in this review; check the source's dates, update notes, and API limits before comparing periods.

Interpret carefully

Limits that affect the decision

International series can differ in definitions, survey methods, coverage, periodicity, and revision status; comparisons should retain the indicator metadata and country notes.

Release cadence was not normalized in this review; check the source's dates, update notes, and API limits before comparing periods.

This record summarizes source documentation; Jon Bishop did not conduct an independent audit of the underlying dataset.

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