What is labour productivity
Labour productivity is the amount of output an economy, industry or firm produces for each hour of work.
In productivity economics, it is the most common measure of how efficiently labour turns into goods and services. When it rises, the same work time produces more, or the same output needs less time.
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Labour productivity formula
Labour productivity = real output ÷ total hours worked
- Real output is output adjusted for price changes. For a whole country this is usually real GDP or real gross value added (GVA). For a firm it can be units produced or real sales.
- Total hours worked is the sum of hours put in by all employed people, including the self-employed where data allows.
Some statistics offices publish output per worker instead of output per hour. This is easier to measure, but it moves when average working hours change, even if efficiency does not.
For growth rates, a useful approximation is:
Productivity growth ≈ output growth − hours growth
Worked example (hypothetical)
A textile mill makes the same quantity of cloth this year as last year. After installing new looms, its workers put in fewer total hours to produce that cloth.
- Output: unchanged
- Hours worked: lower
- Output per hour: higher
Labour productivity has risen even though output did not grow. If the mill had kept the same hours and produced more cloth, the measure would also have risen.
Edge cases experienced readers should know
- Composition effect. In a downturn, lower-productivity jobs are often cut first. Average output per hour can then rise even though the economy is weaker.
- Labour hoarding. Firms sometimes keep staff during a slowdown, so output falls faster than hours and productivity drops. It recovers when demand returns.
- Informal work. In economies with a large informal sector, including Pakistan, hours worked are hard to count. This makes productivity estimates less reliable.
- Services output. Output in health, education or government is hard to measure, so productivity in these sectors is often estimated rather than observed.
- Labour vs total factor productivity. Labour productivity rises when workers get more capital, such as machines and software. Total factor productivity (TFP) tries to strip that out and capture pure efficiency gains.
- Unit labour costs. Wages divided by productivity. If wages grow faster than productivity, unit labour costs rise, which can add to inflation pressure.
Where the term appears
- Statistical releases. National statistics offices publish productivity series. The US Bureau of Labor Statistics releases quarterly "Productivity and Costs" data for the nonfarm business sector. The OECD and ILO publish cross-country comparisons.
- Central bank reports. Monetary policy statements discuss productivity when judging how fast an economy can grow without stoking inflation.
- Economic calendars. Trading platforms and news feeds list US productivity and unit labour cost releases. They usually have less market impact than jobs or inflation data.
- News. Coverage of wages, competitiveness and long-term growth often cites productivity trends.
Traders who follow fundamental analysis may watch these releases for clues about inflation and interest rates. A data release does not tell you where prices will go. Leveraged forex and CFD trading can lose money fast, including around news events.
Related terms
- Business cycle
- Disinflation and deflation
- Debt-to-GDP ratio
- Emerging markets
- Currency appreciation
- Basis point
- Full list: trading glossary
Frequent questions
What is labour productivity in simple words?
It is how much is produced for each hour people work.
What is the labour productivity formula?
Real output divided by total hours worked. Some sources divide by the number of workers instead.
Is higher labour productivity always good news?
Not always. It can rise in a recession simply because lower-output jobs disappear, so check why it moved.
How is it different from total factor productivity?
Labour productivity counts only labour hours as input. TFP also accounts for capital, so it measures efficiency gains beyond extra machinery.
Why do traders look at productivity data?
It feeds into views on wages, inflation and interest rates. It is one input among many and does not predict price moves.
