What Is Quota Sampling?

Are you curious to know what is quota sampling? You have come to the right place as I am going to tell you everything about quota sampling in a very simple explanation. Without further discussion let’s begin to know what is quota sampling?

Quota sampling is a widely used method in research to select a sample that represents certain characteristics of a population. This article aims to provide a comprehensive understanding of quota sampling, its methodology, advantages, and applications across various fields of study.

What Is Quota Sampling?

Quota sampling is a non-probabilistic sampling technique wherein researchers divide the population into subgroups based on specified characteristics, known as quotas, and then select individuals from each subgroup to form the sample. Unlike probability sampling methods, quota sampling does not involve random selection, making it a convenient and cost-effective approach for researchers, especially in situations where probability sampling may not be feasible.

Methodology Of Quota Sampling:

The process of quota sampling involves several key steps:

  • Identification of Quotas: Researchers begin by identifying the key characteristics or demographics of interest, such as age, gender, income level, or education.
  • Determination of Quota Sizes: Quotas are established for each subgroup based on their proportional representation in the population. These quotas dictate the number of individuals to be sampled from each subgroup.
  • Selection of Participants: Researchers then select participants from each subgroup using non-random methods such as convenience sampling or purposive sampling until the quotas for each subgroup are filled.
  • Data Collection: Data is collected from the selected participants through surveys, interviews, or other research methods.
  • Analysis: Finally, researchers analyze the collected data to draw conclusions and make inferences about the population of interest.

Example Of Quota Sampling:

For example, suppose a researcher wants to conduct a study on consumer preferences for a new product in a particular city. They may divide the population into subgroups based on age and income levels and then select a predetermined number of participants from each subgroup to ensure representation across different demographics.

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Advantages Of Quota Sampling:

  • Cost-Effectiveness: Quota sampling is often more cost-effective than probability sampling methods as it does not require extensive sampling frames or randomization procedures.
  • Efficiency: Quota sampling allows researchers to target specific subgroups of interest, making data collection more efficient and focused.
  • Flexibility: Quota sampling provides flexibility in selecting participants, allowing researchers to ensure adequate representation of different demographics within the sample.

Applications Of Quota Sampling:

Quota sampling finds applications across various disciplines, including market research, social sciences, psychology, and public opinion polling. It is commonly used in consumer surveys, political polling, and studies examining social attitudes and behaviors.


In conclusion, quota sampling offers researchers a practical and efficient method for selecting samples that reflect the characteristics of the population of interest. By understanding the principles and applications of quota sampling, researchers can effectively gather data and draw meaningful conclusions in their studies.


What Is Meant By Quota Sampling?

Quota sampling is a non-probability sampling method that relies on the non-random selection of a predetermined number or proportion of units. This is called a quota. You first divide the population into mutually exclusive subgroups (called strata) and then recruit sample units until you reach your quota.

What Is The Difference Between Stratified Sampling And Quota Sampling?

The quota sampling method is similar to stratified sampling, and it selects a sample from a population that has been divided into subgroups [6]. However, unlike stratified sampling, which relies on the random selection of each subgroup, quota sampling uses a convenience method within each subgroup.

What Is The Difference Between Quota And Convenience Sampling?

However, in convenience sampling, you continue to sample units or cases until you reach the required sample size. In quota sampling, you first need to divide your population of interest into subgroups (strata) and estimate their proportions (quota) in the population.

What Is The Difference Between Purposive And Quota Sampling?

Purposive sampling would seek out people that have each of those attributes. Quota sampling takes purposive sampling one step further by identifying categories that are important to the study and for which there is likely to be some variation.

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