The idea of a population percentage often shows up when calculating confidence intervals. It is a type of population parameter [1], which means that it concerns everyone in the population — not just a sample.

## Population Percentage Example

For example, the population of the United States in 2021 was 331.9 million. Of that total, 5.7% were under 5 years old. That fact is a population percentage.

However, statistics is concerned with samples — not entire populations. Unless you have the means to conduct a survey of the entire population (like a census), you won’t be able to ask everyone how old they are in order to calculate an exact figure (5.7%). Instead, you ask a proportion of the population — say, 5,000 people — how old they are, then you use this information to create a “best guess” about the true population percentage. You might get close — somewhere between 5 and 6% — but it’s very unlikely you’ll get an exact number. Therefore, you create a confidence interval and say that the population percentage of under fives is between 5 and 6%.

## References

[1] Sampling Distributions and Confidence Intervals for Percentages

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