Tag Archives: book sector

Library Stat of the Week #50 (Part 2): Where there are stronger and better used public and community libraries, more people read, more often

In the final post both of this mini-series on libraries and cultural data, and of our regular Library Stat of the Week posts, we return to a core function of libraries – to promote reading and access to books.

In the past three weeks, we have looked at data around how much households spend on books, as well as on wider data around participation in artistic and cultural activities. In each case, it appears that having more libraries, and using them better, is linked to greater spending and engagement.

This week, we look at data on how people spend their time, and in particular on how many people read regularly, and then how long they spend doing it.

For many, simply encouraging more reading is an end in itself, although of course this can also have positive impacts on issues such as wellbeing (a key issue during the pandemic!), literacy (skills can deteriorate if not used) and of course on the health of the wider cultural sector.

Once again, we are drawing on data from Eurostat, and in particular the Time Spent on Cultural Activities dataset (gathered between 2008 and 2015). Given its focus, it only covers countries in Europe, but offers insights that can apply elsewhere. As ever, data on libraries comes from the IFLA Library Map of the World, crossed with World Bank population data.

To set the scene, we can look already at what we know about people’s habits around reading, in particular throughout their lives.

Graph 7a: Average Time Spent Reading per Day Over Life

Graph 7a does this by looking at the average time spent reading per day per person, broken down by different age groups. It shows that, in general, there is a U-shaped curve, with people reading more when they are younger and when they are older, with 25-44 year olds reading least on average.

There are exceptions within this. For example, Romanian 15-20 year olds on average read more than any others in Europe. However, older Romanians (aged 65+) are the second least regular readers. Meanwhile, young Austrians and Dutch are low readers, but their parents and grandparents on average spend a much more average amount of time reading.

Graph 7b: Average Time Spent Reading by Readers Per Day

Graph 7b looks only at those people declaring that they do read regularly, and explores how long they spend doing this. While there is, again, a dip in average time spent reading among the 25-44 age group, this is less dramatic. Hungarian readers show up across all age groups as one of the nationalities that reads most when they do.

Graph 7c: Share of the Population Reading Books

The other driver of overall figures on how much people read on average is data about the share of the population reading at all. Graph 7c explores this, noting that the share of the population reading in general tends to be relatively stable, or drop between 15-20 and 25-44 year olds, and then rise relatively sharply among older groups. For example, while only an average share of younger Norwegians read, a larger share of older Norwegians than in any other country covered read. Similarly, from coming almost bottom of the class among younger groups, the older Dutch and Austrians come around average when it comes to the share of older people reading.

Graph 7d: Reading Intensity and Extensiveness

We can get an overview of the extensiveness (i.e. share of the overall population reading) and intensity (time spend reading by those who do) in Graph 7d, which looks at populations as a whole.

This shows us that Finland, Poland and Estonia do not just have an above average share of readers in the population, but those who do read tend to do so for longer. In contrast, Italy, France, Austria, the Netherlands, Belgium and the United Kingdom have both a below-average share of readers in the population, and those who do read do so for shorter times than average.

Finally, there is a contrast between Norway, Luxembourg and Germany (more readers, but reading for shorter times), and Spain, Serbia and Romania (fewer readers, but those who do read for longer). A separate analysis of the situation for different age groups could also be interesting here, in order to understand whether the main challenge in increasing reading is to allow more time for this, or to get more people reading in the first place.

 

Having looked at reading habits, it is now time to look at the relationship between libraries and reading.

Graph 8a: Public/Community Libraries per 100 000 People and Average Time Spent Reading

Graph 8a looks at the availability of public and community libraries, as measured by the number of libraries per 100 000 people, compared to the average time spent reading by different age groups. It finds that there is a positive correlation for the population as a whole, mainly driven by older readers (those aged 45-64 and 65+). The link is less obvious for younger readers (aged 20-24 and 25-44).

Graph 8b: Public/Community Libraries per 100 000 People and Time Spent Reading by Readers

Graph 8b looks at the amount of time spent reading by those who do read. This again shows a gentle, but positive correlation – in other words, in countries with more public and community libraries, those people who do read tend to spend more time doing so. Looking across age groups, the correlation is positive for all, although only slightly in the case of 20-24 year olds.

Graph 8c: Public/Community Libraries per 100 000 People and Share of Population Reading

Graph 8c looks at numbers of public and community libraries, and the share of the population in different age groups reading. Again, it finds weak but positive correlation between numbers of libraries and tendency to read, with stronger links for older groups. The picture is similar if we look only at countries with up to 20 public or community libraries per 100 000 people.

Overall, the story from this is that pure numbers of libraries are positively linked with how many people read, and how much they do, but not particularly strongly.

Graph 9: Public/Community Library Workers per 100 000 People and Share of Population Reading

Graph 9 goes a little further, looking rather at numbers of public and community library workers. This is, arguably, a stronger indicator of how much is being invested in the library field, as well as its ability to reach out to readers, welcome them, and support literacy.

This shows a more positive link between the strength of the library field and share of adults reading, with an increase of 10 library workers per 100 000 people tending to be linked to a rise of 1% in the share of the population reading (or 1000 people). This arguably makes sense – library staff have a key role in helping readers find books that interest them, and simply in making libraries into welcoming places.

Once again, the connection is stronger in older groups. Interestingly, it does not appear that those who do read spend more time doing so in countries with more public and community library workers.

Graph 10a: Library Visits per Person and Average Time Spent Reading

Yet as in previous posts, the strength of the library field is only part of the picture – so too is how well it is used. Graph 10a does this, using data on average library visits per person per year. It shows a positive correlation between library visits and the length of time adults in general spend on reading per year, again with more positive links among older groups.

Graph 10b: Library Visits per Person and Time Spent Reading by Readers

Graph 10b looks at how long those adults who read do so on average. Here, the picture is similar to that in Graph 8b, with a weakly positive correlation. Again, it appears that there is little link between libraries and how long people spend reading.

Graph 10c: Library Visits per Person and Share of Population Reading

Graph 10c however looks at the share of the adult population that reads, and once again displays a strong and positive correlation. Across the population as a whole, an increase of one library visit per person per year tends to be associated with a 1.28 percentage point rise in the share of the population reading.

Graph 11: Library Loans per Person and Share of the Population Reading

Graph 11 repeats this last analysis, but with the average number of loans from public and community libraries per person per year. Again, there is a relatively strong positive correlation, with an extra library loan per person per year associated with a 0.6 point rise in the share of adults reading. As in Graph 10c, the connection holds for all age groups, although is stronger for older ones.

 

What can we conclude from this? First of all, that there are significant differences in reading habits across the European countries surveyed by Eurostat. High performance – as measured by a high average length of time spent reading per person – can be influenced by the number of people reading, and how long they read for. This performance matters, given the role of reading in maintaining and strengthening skills, in promoting wellbeing, and in providing demand for writing.

Looking at the connections with libraries, it seems that there are much stronger links between libraries and the share of the population reading than between libraries and how long people spend reading.

While correlation is not causality, the data shared here would support the argument that libraries can play a role in getting more people reading, and so in helping more people benefit in terms of skills and wellbeing. In particular, numbers of library staff appear to matter more than numbers of libraries, and levels of use of libraries have a stronger link still.

This would imply that a key focus of governments looking to boost reading will likely be to ensure that libraries are well-staffed and welcoming for all.

Throughout, the relationship between public and community libraries and numbers of people reading seems weakest in general for younger groups. To some extent, this may be because many younger people have access to university libraries (in the case of 20-24 year olds in particular), or just because of less inclination to read in general among 25-44 year olds. It can also be underlined that the importance of reading for skills is more important among older groups in any case.

Nonetheless, this does raise interesting questions about whether more can be done to increase reading among 25-44 year olds, and whether libraries can strengthen their role in this.

 

Find out more on the Library Map of the World, where you can download key library data in order to carry out your own analysis! See our other Library Stats of the Week! We are happy to share the data that supported this analysis on request.

Library Stat of the Week #49: Faced with Competition from Online Entertainment, Household Spending on Books Has Held Up Better Where Libraries are Stronger

In a three-part series to end our regular #LibraryStatOfTheWeek posts, we are looking at data around culture, and crossing this with information gathered by IFLA through the Library Map of the World.

Last week’s post – the first of the mini-series – therefore looked at the link between the strength of library fields (including how well used they are), and the share of household spending on culture that is dedicated to books.

This is a helpful indicator, especially in a digital age where different activities are competing for our free time and resources. Given that overall tendencies to spend on culture will be determined by a variety of external factors (earnings and disposable incomes for example), this can even be a more meaningful way of understanding the place of reading – and books – in societies.

Libraries themselves have an important role in promoting reading, both in terms of helping adults discover new works, and in ensuring that coming generations turn into capable and confident readers.

This week, we look beyond the figures for one year (2015), and rather at evolutions in spending between the two years for which data is available – 2010 and 2015. This allows us to see how well spending on books, as a share of overall household cultural spending, has fared at a time that new online cultural activities were emerging.

Once again, data on household cultural spending comes from Eurostat (and so focuses only on European countres), while data on libraries and use comes from the IFLA Library Map of the World (latest available year), crossed with population data from the World Bank in order to obtain per capita figures. In each of the analyses noted below, we have only included a country when all relevant data was available.

Graph 1: Public/Community Libraries per 100 000 People and Change in Share of Household Cultural Spending on Books

Graph 1 starts by comparing numbers of public and community libraries per 100 000 people with the change in the share of household cultural spending going on books between 2010 and 2015.

In the graph, each dot represents a country. The higher it is, the more positive the change in share of spending has been. The further to the right it is, the more libraries there are per 100 000 people.

It is worth noting that, in all countries covered by this data, the share of household cultural spending going on books has fallen. This makes sense, given the points set out above concerning the rise of online entertainment.

The graph indicates that, in general, countries with higher numbers of public and community libraries per 100 000 people have tended to see smaller falls in the share of cultural spending going on books.

Graph 2: Public/Community Library Workers per 100 000 People and Change in Share of Household Cultural Spending on Books

Graph 2 looks rather at numbers of public and community library workers per 100 000 people. Dots further to the right on this graph therefore indicate countries with a higher number of such workers.

Here too, the story is positive – where there are more public and community library workers, in general, falls in the share of household cultural spending going on books have been lower. In other words, book sales have resisted better to competition where libraries are stronger.

Graph 3: Public/Community Visits per Capita and Change in Share of Household Cultural Spending on Books

Graph 3 looks at numbers of visits per person to public and community libraries. This shows a relatively strong, positive correlation between library use and changes in the share of household cultural spending going on books.

This tallies with the finding last week that library visits, in particular, seem to be well-connected to the economic situation of the book sector. This makes sense – libraries can be important shop-windows, and of course also build enthusiasm for reading.

Graph 4: Library Book Loans per Capita and Change in Share of Household Cultural Spending on Books

Graph 4 looks at average numbers of book loans per capita. Again, there is a positive correlation – and indeed a stronger and more positive one than in the graph last week looking at spending in just one year.

In other words, library lending tends to be associated with better performance over time for the book sector.

Graph 5: Change in Share of Household Cultural Spending on Books and Share of Registered Library Users in the Population

Graph 5, finally, looks at connections between numbers of registered library card holders (calculated as a share of the population), and trends in the share of books in total household cultural spending.

This again shows a positive correlation, although a less strong one, although partly driven by the result for Spain, where there is a high rate of library card holding, but also a big fall in spending on books as a share of overall cultural spending.

 

Overall, these figures provide further helpful support for advocacy around the value of our institutions in supporting a healthy book sector.

While correlation does not mean causality, it is possible to show that, far from greater library use being associated with lost tales, it is rather the opposite. These figures can be used in arguments to show that cuts to libraries – for example making it more difficult to visit and borrow – could be harmful to the book sector as a whole.

 

Find out more on the Library Map of the World, where you can download key library data in order to carry out your own analysis! See our other Library Stats of the Week! We are happy to share the data that supported this analysis on request.

Library Stat of the Week #48: In Countries with Stronger – and Better Used – Public and Community Library Fields, Books Account for Larger Shares of Household Spending on Culture

After a couple of weeks’ break, we’re back with a final mini-series of Library Stat of the Week posts, focusing this time on libraries and cultural data.

Cultural data itself is unfortunately not as widely collected as other types of data, partly because of a lack of widely adopted shared standards,  partly because – wrongly, we would suggest – it is not always a priority for statistical offices.

Fortunately, within the European Union, there is an effort to collect relevant information, looking at key questions such as how much households and governments are spending on culture, and how much people are benefitting from it.

Therefore, to close out our weekly series of library statistics posts, we are crossing data from the European Union’s Eurostat agency with data from IFLA’s Library Map of the World and the World Bank.

In this week’s post, we will look at the relationship between different public and community library indicators, and the share of total spending on cultural goods and services that goes on books.

The indicator of the share of total spending on books is useful, as it allows us to control for overall spending on culture in the population, which can vary strongly.

It also allows us to account for the fact that, arguably, different forms of culture are competing for our attention and available budgets. In other words, we can look at whether a stronger library field means that books ‘capture’ a larger share of cultural spending, a point that will be of interest, in particular to publishers and others in the book chain.

Data on spending on cultural goods and services comes from Eurostat’s database on mean expenditure by households on different goods and services. Data comes from 2015. Data on libraries comes from the Library Map of the World (most recent year), with World Bank population data (2018) used to allow us to calculate per capita figures.

As such, it is important to note that all data comes from European countries, but still allows for a look across a range of different library fields, and so can be useful for wider advocacy.

Graph 1: Public/Community Libraries per 100K People and Share of Cultural Spending on Books

Graph 1 starts by looking at shares of spending on books in total cultural spending in comparison with numbers of public and community libraries per capita.

In the graph, each point represents one country. The further to the right a point is, the more public and community libraries there are per 100 000 people, and the first up it is, the higher the share of books in overall household spending on cultural goods and services.

Looking at numbers of libraries gives an idea of how readily accessible libraries are to people, although of course does allow us to understand how well-supported each library is.

Overall, it appears then that there is a slight but small positive correlation between numbers of libraries and share of cultural spending on books.

Graph 2: Public/Community Library Workers per 100K People and Share of Cultural Spending on Books

Graph 2 looks at numbers of public and community library workers (full-time equivalents), arguably a stronger indicator of the strength of library fields.

This shows a slightly stronger, slightly more positive correlation, suggesting that where there are more public and community library workers, books account for a greater share of household spending on cultural goods and spending.

However, in addition to looking at ‘inputs’ to a strong library field (i.e. number of libraries and staff), we can also look to understand how well they are used. Library Map of the World data on numbers of visits, loans and registered users can help in this regard.

Graph 3: Visits to Public/Community Libraries per Person and Share of Cultural Spending on Books

Graph 3 therefore compares the average number of visits to public and community libraries per person per year with data on the share of household spending on cultural goods and services that goes on books.

This shows a stronger and more positive correlation still between use of libraries and spending on books. This would certainly vindicate the idea that libraries serve as venues for discovery of books, and so drive sales.

Graph 4: Average Book Loans per Person and Share of Cultural Spending on Books

Graph 4 repeats the exercise for loans of books. Once again, there is a positive correlation, although this is slightly less strong than for visits to libraries.

The fact that the connection is positive is nonetheless encouraging. Importantly, it is not negative!

Graph 5: Share of Population Registered at a Library and Share of Cultural Spending on Books

Finally, graph 5 looks at the share of the population that is a registered library user. Once again, the correlation is positive, but slightly less strong than for the numbers of visits.

The weaker connection here could perhaps be associated with the fact that simply being registered is only a proxy for intensity of library use.

 

As ever, correlation does not mean causality, and so we cannot necessary say that stronger – and better used – public and community library fields mean that books account for a greater share of household cultural spending.

Nonetheless, they do show that the two often come together. In particular, the strongest connections appear to be with the most meaningful indicators of library use – visits and loans.

This data is therefore a useful reference in advocacy around libraries contributing to, rather than holding back, the economic success of the book sector.

 

Find out more on the Library Map of the World, where you can download key library data in order to carry out your own analysis! See our other Library Stats of the Week! We are happy to share the data that supported this analysis on request.