1.3 Population pyramids
One commonly used type of back-to-back chart is the population pyramid. A population pyramid is made up of two vertical, back-to-back histograms which show how the population of an area falls into different age categories. The bars of the histogram can be drawn to show either the size of the population, or the percentage of the total population. Note the change to the word ‘histogram’ here because we are now talking about grouped numerical data.
Here is the population pyramid for the United Kingdom (UK) in 1960:
Figure 5 Population pyramid for the UK population in 1960Source: Population of United Kingdom 1960 - PopulationPyramid.netOne comparison you can make is between the male population (orange bars) and female population (green bars). The pyramid is almost symmetrical, but you might have noticed that the orange bars are a little larger than the green bars at the base of the pyramid, and shorter at the top. This matches with some interesting facts about the UK population: slightly more boys than girls are born each year, and the life expectancy of a typical female is longer than that of a male.
You may also notice dips in the population, around age groups 20 – 29 and 40 – 44. I wonder if you can think of any possible reasons for dips in the UK population in these age ranges in 1960.
Asking learners to make conjectures about data in this way helps give the data meaning through context. In UK history lessons learners study World Wars I and II and, possibly, the subsequent ‘baby booms’ that followed these events.
Records of historical data can be found online but there is increasing availability of animated visual representations, and these can be a useful learning tool for exploring graphical representations and identifying trends in data. For instance, this UK population pyramid interactive created using UK Census data: UK population pyramid interactive - Office for National Statistics (ons.gov.uk, 2020). It is worth taking time to explore and consider the additional comparisons and analysis made possible by these.
When working with statistics, you may see datasets which implicitly present sex/gender as a binary option between ‘male/man’ and ‘female/woman’ and makes no distinction with assigned sex at birth in this classification.
In the teaching of statistics specifically, framing sex/gender as a binary has, for many years, been seen uncontroversially as a useful teaching tool for helping learners get to grips with the concept of binary variables, and datasets using them.
Consequently, you will come across lots of examples using real data, where only binary sex/gender data was collected, reflecting the thinking of the time.
However, at the Open University we now recognise a much broader diversity of belief around sex and gender beyond the male/female binary.
The Office for National Statistics (ONS) census data included a non-binary question on gender for the first time in 2023 and found that 0.05% of the UK population described themselves as non-binary.
ACTIVITY 3
Another comparison could be made between population pyramids. Here are the population pyramids for the UK in 1975 and 2025. The population of the UK increased from about 56 million in 1975 to about 69.5 million in 2025.
- What differences do you notice about the population distribution in 1975 compared to 2025?
- Why do you think percentages have been used rather than actual population figures?
Comment
- Perhaps the most obvious difference is that in 2025 a smaller proportion of the population are children, and a greater percentage of the population is living for longer compared to 1975.
- Drawing the bars as percentages can make it easier to compare the distribution across the two different pyramids (as done for age in Point 1). This could be more difficult to interpret if the actual population was given, given the change in the population between 1975 and 2025.
Although ‘population pyramids’ do not always turn up in the mathematics syllabus, back-to-back bar charts do and clearly, they are a form of these. Population pyramids do occur in other subjects, such as statistics and geography, and they offer a good opportunity to strengthen interpretation of graphical representations and to connect learning with actual data and using large datasets.
ACTIVITY 4
Here are three more population pyramids, representing the populations of Norway, Oman and the Philippines in 2025.
Figure 7 Population pyramids for Norway, Oman and Philippines, 2025 Source: Population Pyramids of the World from 1950 to 2100 - PopulationPyramid.net- What observations and comparisons might learners make after looking at these graphics?
- (a) What questions might learners have?
(b) How might you handle these questions with a learner, or a group of learners?
Jot down your thoughts in the box below.
Discussion
- The 2025 pyramid for Norway is perhaps the most like the UK in 2025. It could be described as roughly symmetric both in terms of the distribution across the age range for each sex, and in terms of the comparison between the male and female distributions. The other two pyramids have significant differences: Comparing the male distribution to the female distribution, Oman is very asymmetric (not symmetric). The Philippines distribution has a strong skew, showing more younger people.
- Learners might want to know where the locations are, what the main industries are in each country and perhaps even what the healthcare systems are like in each country. If using data such as this in the classroom, you should undertake a little research about the countries beforehand and, after introducing the data to the learners, you could set them a task of researching a particular country thereby engaging them in looking more deeply at the data.
Population pyramids can give rise to rich statistical questions and learning opportunities, but their shapes can also reflect serious issues including gender bias, reproductive rights, and the consequences of armed conflict. It is important not to shy away from difficult topics, but topical issues should be handled with care with learners of all ages. Learners are naturally inquisitive and want to know more about the world around them, especially potentially controversial topics!
Just as literature tells a story, so does data, and it is important that learners are taught to critically reflect and analyse that data. Take it as an opportunity to work collaboratively with other teachers, identifying potential complexities and working through strategies for managing sensitive conversations in the classroom. Colleagues in history, geography and the social sciences will all deal with tough topics in their classrooms on a regular basis.
A note on skew
In the previous example, the Philippines data was described as having a ‘strong skew’. A set of data that is not symmetric, where large values are more spread out than small values (positive skew) or small values are more spread out than large values (negative skew), is said to be skew.
Figure 8 Skewness in histogramsFigure 9 Skewness in box plotsImages taken from Skewness | Edexcel GCSE Statistics Revision Notes 2017 – need to credit or redraw similar