Entity Code Year Number.of.people
1 Afghanistan AFG 2020 9132995
41 Cote d'Ivoire CIV 2020 5316675
81 Iceland ISL 2020 0
121 Monaco MCO 2020 0
161 Saint Lucia LCA 2020 2381
201 United States Virgin Islands VIR 2020 1338
241 Burkina Faso BFA 2000 3758041
281 Gambia GMB 2000 215574
321 Lithuania LTU 2000 361756
361 Papua New Guinea PNG 2000 3827159
Summary of People Without Improved Water
Introduction
In this article, we’ll present a summary of the People-without-improved-water
dataset, which explores estimated counts (globally, by country) of people without regular access to clean water. As an example of the data structure, see below:
Note that, in its raw format, the dataset has readings from two years, both 2000 and 2020. Additionally, some of the rows have a Number.of.people
value of 0, which “seems” unrealistic. However, we will leave such values in so as to maintain simplicity; we wouldn’t want to risk removing data that is potentially accurate without knowing more about the collection process.
Some questions may come to mind when examining this dataset. Specifically, how has the proportion of people without access to clean drinking water changed from 2000 to 2020? Which countries contribute most to the global population of clean water-insecure people?
Summary
[1] "Count of people without clean water in 2000: 963413295"
[1] "Global percentage: 15.79%"
[1] "Count of people without clean water in 2020: 485363567"
[1] "Global percentage: 6.22%"
As we can see, the global count of people lacking clean water dropped by nearly 50% from 2000 to 2020. The effect is even more pronounced when adjusting for global population:
Clearly, the global proportion has reduced significantly, by almost 10%. Although this is speculative, the proportion could realistically be well below 5% by the year 2040.
Further Research
It would have been incredible to have country population estimates in the dataset as well as the counts of those without clean water. A clear additional item for study would be which countries have the highest and lowest proportions of overall population lacking clean water. I did try to find such a global population dataset, but the process got too complicated for this (short) summary.
It may also be reasonable to examine which countries had the largest and smallest change in either absolute or proportional counts of those lacking clean water.