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Krejcie & Morgan (1970)

Krejcie & Morgan sample size table calculator

Type your population size and see the minimum sample size straight from the 1970 table — with ready-to-use text for your methodology chapter.

1 Enter your population size

* Everyone in the group you want to study, e.g. all 1,240 employees of a company.

💡 What does this table keep fixed?

Krejcie & Morgan fix the confidence level at 95% and the margin of error at 5%, so there is nothing to adjust — that is why it is so easy to use. If you want to choose your own margin of error, use the Taro Yamane formula instead.

Minimum sample size

278

A population of 1,000 matches a row in the table exactly.

Confidence level 95% (e = 5%)

Text for your report (Chapter 3)

The population of this study consisted of 1,000 people. The sample size was determined using the Krejcie and Morgan (1970) table at a 95% confidence level and a 5% margin of error, which gives a minimum sample of 278 respondents. To allow for incomplete or unusable responses, an additional 10% was added, for a total sample of 306 respondents.

ⓘ This free tool helps with a first calculation. Khontob does not guarantee the results or any outcome of using them. Before using them in your research, please check them against the original software or textbook and with your advisor.

The formula behind the table

Krejcie and Morgan did not collect these numbers empirically: every row is computed from one formula, published with the table in their 1970 article.

s = X²NP(1 − P) ÷ [d²(N − 1) + X²P(1 − P)]

  • s = required sample size
  • N = population size
  • X² = chi-square value for 1 degree of freedom at the chosen confidence level (3.841 for 95%)
  • P = population proportion, set to 0.50 to give the largest sample size
  • d = degree of accuracy (margin of error), 0.05

Krejcie & Morgan table (short version)

N is the population size and s the minimum sample size at a 95% confidence level. As the population grows, s levels off at 384 and stops increasing.

Population (N) Sample size (s)
10 10
30 28
50 44
100 80
150 108
200 132
250 152
300 169
400 196
500 217
600 234
800 260
1,000 278
1,500 306
2,000 322
3,000 341
5,000 357
10,000 370
20,000 377
50,000 381
1,000,000 384

Source: Krejcie, R. V., & Morgan, D. W. (1970). Determining Sample Size for Research Activities. Educational and Psychological Measurement, 30(3), 607–610.

Plan for a few extra responses

The table gives a minimum. In practice researchers usually collect 10–20% more to cover incomplete or unusable questionnaires.

Frequently asked questions

What is the Krejcie and Morgan table and when should I use it?

The Krejcie & Morgan (1970) table lists the minimum sample size (s) for a known population size (N), with the confidence level fixed at 95% and the margin of error at 5%. It suits survey research where the population is known and finite, such as the staff of an organisation or the students of a faculty. Because it is a published table, it is easy to cite and quick for examiners to check.

How is Krejcie and Morgan different from the Taro Yamane formula?

Both start from the population size (N). Taro Yamane lets you choose the margin of error (for example 1%, 5% or 10%), while Krejcie & Morgan always uses 95% confidence and a 5% margin of error. The results differ slightly: for a population of 1,000, Krejcie & Morgan gives 278 and Taro Yamane at e = 5% gives 286. Both are widely accepted.

What if my population size is not a row in the table?

The original table lists N in steps, such as 100, 110, 120. If your population falls between two rows, for example 105, you can either interpolate between the two rows or use the sample size of the higher row to be on the safe side. This calculator shows the interpolated value and both neighbouring rows.

What sample size do I need for a very large population?

The table levels off at 384 for very large populations (1,000,000 and above). If your population is very large or its exact size is unknown, 384 can serve as the minimum sample size.

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