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Do workers in richer countries work longer hours?

Workers in richer countries tend to work fewer hours than those in poorer countries.

Summary

Workers in richer countries tend to work fewer hours than those in poorer countries. This is because in richer countries workers are able to produce more with each hour of work, which translates into higher incomes and the ability to work less.

The large differences in working hours across countries have important implications for the way we think about the economic progress made in the last two centuries and the nature of inequality between countries today.

Economic prosperity in different places across our world today is vastly unequal. People in Switzerland, one of the richest countries in the world, have an average income that is more than 15 times higher than that of people in Cambodia.1 Life in these two countries can look starkly different.2

When considering such differences in prosperity, a natural question is: who works more, people in richer countries like Switzerland or in poorer ones like Cambodia?

Looking at the available data, the answer is clear: workers in poorer countries actually tend to work more, and sometimes much more.

We see that in the chart here, with GDP per capita on the horizontal axis and annual working hours per worker on the vertical axis.

Countries like Cambodia (which is the country in the very top-left corner) or Myanmar have some of the lowest GDP per capita but highest working hours. In Cambodia the average worker puts in around 2,500 hours each year, around 900 more hours than in Switzerland (fewer than 1,600 hours) at the bottom-right of the chart. The extra 900 hours for Cambodian workers means longer work days and many fewer days off.

Click to open interactive version

Working hours tend to decrease as countries become richer

There is a link between national income and average working hours, not only across countries at a given point in time — as shown in the chart above — but also for individual countries over time.

Since the Industrial Revolution people in many countries have become richer, and working hours have decreased dramatically over the last 150 years.

In the chart here we show this association between incomes and working hours over time, country by country. It is the same chart as above, except now countries’ single data points have become lines, connecting observations over time from 1950 until today.

The four highlighted countries exemplify how working hours have decreased at the same time that average incomes have increased. Germany, for example, moved far to the right as its GDP per capita increased more than 10-fold, and far to the bottom as working hours nearly halved.3

This makes sense: as people's incomes rise they can afford more of the things they enjoy, including more leisure and less time spent working.

You can explore this association for other countries by clicking ‘Select countries and regions’ on the chart.

Click to open interactive version

People are able to work less when they work in more productive economies

The key driver of rising national incomes and decreasing working hours is productivity growth.

Productivity refers to the rate at which inputs are turned into outputs. To understand working hours the key metric is labor productivity: the economic return for one hour of work.

At the most concrete level, labor productivity captures things like the number of breads that a baker bakes in an hour, or the number of cars factory workers assemble in an hour. At the most comprehensive level, it relates the total output of the economy (GDP) to the total labor input (total annual hours worked), giving us the aggregate measure of labor productivity, GDP per hour of work.

Higher labor productivity is associated with fewer working hours, as shown in the chart here with labor productivity on the horizontal axis and annual working hours on the vertical axis. The chart currently shows data for the latest available year, but you can explore this relationship over time since 1950 by using the blue time slider at the bottom of the chart.

Click to open interactive version

We see that the same richer countries with lower working hours we noted before — like Germany and Switzerland — have very high labor productivity (69 and 83 $/h in 2019, respectively). If workers can produce more with each hour of work, it becomes possible for them to work less.

However, this doesn’t necessarily mean they actually do work less — workers in the US and Singapore, for instance, work many more hours than their counterparts in countries with similar productivity.

In contrast, the countries toward the top-left of this chart have far lower labor productivity — Cambodia, for example, is at only 3$/h — and thus workers there need to work many more hours to compensate.

At the heart of the link between productivity, incomes, and working hours is technological innovation

Technological innovation — defined broadly here to include physical machines as well as ideas, knowledge, and processes — makes it possible for each worker to become much more productive. And increases in productivity in turn help drive both increases in incomes and decreases in working hours.4

A prime example of how tech innovation drives productivity growth is agriculture. As we show in detail in our topic page on Crop Yields, innovations like better machinery, crop varieties, fertilizers, and land management have enabled farmers to be much more productive. In the US, for example, farm production per labor hour increased nearly 16-fold from 1948–2011.5 This increased productivity enables us to feed a rapidly growing population, even while the fraction of people working in agriculture is smaller than ever.6

The chart here shows the growth in labor productivity, not just for agriculture but for the entire economy. The technological, economic, and social structures in richer countries have enabled workers there to produce more while working less.

Click to open interactive version

Besides tech innovation, there is evidence that working fewer hours can keep productivity higher, making the link between working hours and productivity self-reinforcing. For example, economist John Pencavel (2015) studied munitions workers in wartime Britain and found that their productivity stayed high up to a certain threshold of hours, but declined markedly above that threshold.7 We’ve probably all experienced the drop in productivity that comes at the end of a very long day of work.

What we learn from this

The data show that it is workers in poorer countries who tend to work more, and sometimes a lot more, than those in richer countries.

This has large implications for the way we think about the economic progress made in the last two centuries and the nature of inequality between countries today.

It means that residents of today’s poorer countries like Cambodia and Myanmar — and also of today’s richer countries in the past when they were poor — are not just consumption poor, often unable to afford necessities like food and medicine. It means they are also leisure poor: because productivity is low and they must work so much just to scrape by, they can’t afford to spend much time improving their condition, becoming educated, or simply enjoying leisure time.

That people in poorer countries work so much more than in richer countries shows that differences in prosperity are not due to differences in work ethic — they are largely due to differences in circumstance and opportunity. As we ask in another article, “What would have been the chances for Steve Jobs if he had been born in the Central African Republic?” No matter how hard he worked or how smart he was, it is difficult to imagine that Steve Jobs would’ve been able to realize his potential with such a steep mountain of inequality to climb.

We also see what the world misses out on when exceptionally talented people, including all the brilliant but underprivileged people in today’s poorest countries, don’t have the opportunity to realize their potential.8

Finding ways to raise productivity is therefore not just key to increasing production, but also to the reduction in working hours that is necessary for a society to flourish.


Continue reading Our World in Data:

In our entry on Working Hours, we present the data and explore how it differs across countries and over time, and how these differences matter for people's lives.

In our entry on Time Use, we present the data and explore how it differs across countries and over time, and how these differences matter for people's lives.

Endnotes

  1. We chose Cambodia and Switzerland here because they both also have working hours data available, but the difference in average income can be even more extreme. For instance, people in Qatar have an average income that is more than 100 times higher than that of people in the Central African Republic.

    These differences refer to GDP per capita measured in international-$ and account for price differences between countries to enable comparisons. You can read more about this here.

  2. But life can also look similar, as you see in the pictures of the homes, computers, and phones of people on similar income levels in the two countries.

  3. These trends in GDP per capita are measured in constant international-$ and account for inflation to enable comparisons over time and between countries. You can read more about this here.

  4. For a discussion of how technology drives productivity growth and a rise in incomes (economic growth), see Romer, P. (1990) Endogenous Technological Change.Journal of Political Economy. For a discussion of the relationship between productivity growth, economic growth, and working hours, see Boppart, T. and P. Krusell (2020) Labor Supply in the Past, Present, and Future: A Balanced-Growth Perspective. Journal of Political Economy.

  5. See Figure 18 on p. 28 of Wang et al (2015) Agricultural Productivity Growth in the United States: Measurement, Trends, and Drivers. USDA Economic Research Report 189.

  6. The transition of employment out of agriculture to other economic sectors as countries become richer is known as ‘structural transformation’. You can read more about this in our article Structural transformation: how did today’s rich countries become ‘deindustrialized’?

  7. Pencavel, J. (2015) The productivity of working hours. The Economic Journal.

  8. Agarwal, R. and Gaule, P. (2020) Invisible Geniuses: Could the Knowledge Frontier Advance Faster? American Economic Review: Insights.

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Our articles and data visualizations rely on work from many different people and organizations. When citing this article, please also cite the underlying data sources. This article can be cited as:

Charlie Giattino and Esteban Ortiz-Ospina (2020) - “Do workers in richer countries work longer hours?” Published online at OurWorldinData.org. Retrieved from: 'https://ourworldindata.org/rich-poor-working-hours' [Online Resource]

BibTeX citation

@article{owid-rich-poor-working-hours,
    author = {Charlie Giattino and Esteban Ortiz-Ospina},
    title = {Do workers in richer countries work longer hours?},
    journal = {Our World in Data},
    year = {2020},
    note = {https://ourworldindata.org/rich-poor-working-hours}
}
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