Statistics How To

Total Population Sampling

Sampling >

Total population sampling is a type of purposive sampling where the whole population of interest (i.e., a group whose members all share a given characteristic) is studied.

It is most practical when the total population is of manageable size, such as a well-defined subgroup of a larger population. For instance, total population sampling would be a good way to conduct a survey meant to get the opinions of third grade schoolgirls from a local elementary school; all that would be required is to survey each girl in every third grade classroom.

In practice, total population sampling is done when the target group is small and set apart by an unusual and well-defined characteristic. This might be something like US city mayors that have immigrant backgrounds, or college presidents with more than five children, or family members of those suffering from a rare disease that affects one in a million.

Steps in Total Population Sampling

  1. Completely define the population and the characteristic or characteristics which set it apart.
  2. Create a list of the population.
  3. Collect relevant data from all members on the list.

Advantages and Disadvantages

Gleaning information from the total population often gives deeper insights into a target population than partial samples would be capable of. It has the potential to allow a researcher to paint a much more complete picture, and greatly reduces guesswork.

It also eliminates the risk of biased sample selection that is often encountered in would-be random study samples.

But since sampling a total population means you need to first draw up a list of the whole population, it is often not easy. That first list is, in many cases, very difficult or almost impossible to get. This may be the most time-consuming part of a study; and any errors or omissions can flaw the whole study.

Another disadvantage is the difficulty, even after the complete list is made, in ensuring the data collected really is complete. In the case of a survey, non-response can badly skew results if the non-respondents are not random members of the population; if they share certain characteristics not shared by others.


Laerd Dissertation, Lund Research Ltd. Total Population Sampling.
Retrieved from on April 18, 2018

Crossman, Ashley. Understanding Purposive Sampling: An Overview of the Method and Its Applications. Retrieved from on April 18, 2018


Need help with a homework or test question? Chegg offers 30 minutes of free tutoring, so you can try them out before committing to a subscription. Click here for more details.

If you prefer an online interactive environment to learn R and statistics, this free R Tutorial by Datacamp is a great way to get started. If you're are somewhat comfortable with R and are interested in going deeper into Statistics, try this Statistics with R track.

Comments? Need to post a correction? Please post on our Facebook page.
Total Population Sampling was last modified: May 13th, 2018 by Stephanie