How to Create a Population Pyramid in Python

A population pyramid is a graphical representation of the age and sex distribution of a population. It provides valuable insights into the demographic structure of a population. In this article, we will discuss the statistical concept behind population pyramids and demonstrate how to create one using Python.

Understanding Population Pyramids

Population pyramids are typically divided into five age groups: 0-4, 5-14, 15-24, 25-64, and 65+. The shape of a population pyramid can vary depending on the age structure of the population. For instance, a population with a large number of young people will have a wide base and a smaller top, while an aging population will have a narrow base and a broad top.

Population pyramids can be compared across different populations to identify demographic trends. For example, a population with a large number of young people may be experiencing rapid population growth, while an aging population may indicate a declining birth rate or an increasing life expectancy.

Mathematical Formula for Creating a Population Pyramid

To create a population pyramid, we need to calculate the number of individuals in each age group and sex. Let’s denote:

    \[N_{ij} = \text{number of individuals in age group } i \text{ and sex } j\]

    \[N_i = \sum_{j=1}^{2} N_{ij} = \text{total number of individuals in age group } i\]

    \[N_T = \sum_{i=1}^{5} \sum_{j=1}^{2} N_{ij} = \text{total population size}\]

The percentage of the population in each age group can be calculated as:

    \[p_{ij} = \frac{N_{ij}}{N_T} \times 100\%\]

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Creating a Population Pyramid using Python

To create a population pyramid using Python, we will use the matplotlib library to generate the graph. Here’s an example dataset:

population = [[10000, 5000], [20000, 10000], [25000, 12000], [20000, 15000], [15000, 18000]]

This dataset represents the number of males and females in each of the five age groups.

To create the population pyramid, we will first calculate the total population size and the percentage of the population in each age group:

N_T = sum([sum(row) for row in population])
    p = [[[0, 0], [0, 0]]]
    for i in range(5):
        row = [0, 0]
        for j in range(2):
            N_i = sum(population[i][j:])
            p[i].append([N_i/N_T*100, N_i])
    

Next, we will plot the population pyramid using matplotlib:

import matplotlib.pyplot as plt

fig, ax = plt.subplots()
width = 0.35

for i in range(5):
    ax.barh(range(2), p[i], width, left=p[i-1][:, 0], align='left', color='g')
    ax.set_xlabel('Percentage of Population')
    ax.set_title('Population Pyramid')
    ax.set_yticks(range(len(p)))
    ax.set_yticklabels(['Males', 'Females'])
    ax.legend(loc='upper left')
    plt.show()

Conclusion

In this article, we discussed the concept behind population pyramids and demonstrated how to create one using Python. We also provided a mathematical formula for calculating the percentage of the population in each age group. By comparing population pyramids across different populations, we can gain valuable insights into demographic trends and patterns.

For further reading, I would recommend checking out the World Bank’s Population and Vital Statistics Report and the United Nations Population Division’s World Population Prospects.

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