# Labor Costs and Productivity

## What does the Labor Costs and Productivity dataset cover? {#what-does-the-labor-costs-and-productivity-dataset-cover}

The Labor Costs and Productivity dataset publishes the **Total Employer Cost** for four labor roles — Chemical Plant Operator, Chemical Plant Supervisor, Manufacturing Labor, and Construction Labor — across the 33 countries tracked in the Industry Economics & Competitiveness report. The Total Employer Cost is the complete cost of employing a worker, carried on a common basis so countries compare directly. Alongside these cost figures, the dataset publishes two **productivity factors** — one for manufacturing labor and one for construction labor — that capture how much output a worker delivers. Together, the two views describe both what employers pay and what that spending yields.

## How are labor costs reported across roles, and in what units? {#how-are-labor-costs-reported-across-roles-and-in-what-units}

!!! Summary
Each role is published as one fully-loaded Total Employer Cost per unit of labor time (USD per hour or per year, on a common basis), reported alongside separate manufacturing and construction productivity factors.
!!!

Each of the four roles is published as a single **Total Employer Cost** — the complete cost of employing that worker for an hour of labor, combining directly paid wages, benefits, and the mandatory contributions and overhead an employer carries beyond take-home pay. Reporting one fully-loaded figure per role keeps the comparison clean: a country with low headline wages but heavy mandatory on-costs is not made to look cheaper than it is.

Figures are expressed as a monetary cost per unit of labor time — USD per hour or per year — stated in USD on a common basis so the 33 countries compare directly.

Alongside the cost figures, the dataset publishes two **productivity factors** — one for manufacturing labor and one for construction labor — that scale each country's labor cost by how much output a worker delivers. These factors are what let the report compare countries on cost per unit of output rather than on raw wages; the next question covers how they enter the scores.

## How does this dataset connect to productivity-adjusted scoring? {#how-does-this-dataset-connect-to-productivity-adjusted-scoring}

This absolute dataset is the foundation for the Manufacturing Labor Costs and Construction Labor Costs pillar scores in the report. The productivity factor, anchored at 1.0× for the most productive country and rising to about 3× for manufacturing roles and 5× for construction roles where output per worker is lowest, lets the scoring compare countries on cost per unit of output rather than raw wages. As a result, a country with higher wages but greater productivity is not unfairly penalized relative to a low-wage, low-output peer. For how these adjusted figures translate into pillar rankings, see the Scores page.

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![The productivity factor anchors at 1.0× for the most productive country and rises toward about 3× for manufacturing where output per worker is lowest.](/static/images/bp1_productivity_factor.svg)
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![The construction labor productivity factor anchors at 1.0× for the most productive country and rises toward about 5× where output per worker in construction trades is lowest — a wider range than manufacturing, reflecting greater cross-country variation in construction-sector productivity.](/static/images/bp2_productivity_factor.svg)
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