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The Morgan table: sample size with the Krejcie and Morgan method

The Krejcie and Morgan table tells you how many people you need to sample for a given population size. The full 90-row table is right below this box; if your population size is not in it, type it in and the sample size is calculated with the same formula the table uses.

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Read the sample size for your own population

If unknown or very large, leave blank.

Confidence level

χ² = 3.841

Table: 0.05

Table: 0.5

Sample size from the Morgan table

384people

unknown or very large population

Exact formula value
384.1
Cochran's formula (rounded up)
385

The full Krejcie and Morgan table

N is the population size and S the sample size. All values are for 95% confidence, a 0.05 margin of error and a proportion of 0.5.

Morgan table, part 1 of 3
NS
1010
1514
2019
2524
3028
3532
4036
4540
5044
5548
6052
6556
7059
7563
8066
8570
9073
9576
10080
11086
12092
13097
140103
150108
160113
170118
180123
190127
200132
210136
Morgan table, part 2 of 3
NS
220140
230144
240148
250152
260155
270159
280162
290165
300169
320175
340181
360186
380191
400196
420201
440205
460210
480214
500217
550226
600234
650242
700248
750254
800260
850265
900269
950274
1,000278
1,100285
Morgan table, part 3 of 3
NS
1,200291
1,300297
1,400302
1,500306
1,600310
1,700313
1,800317
1,900320
2,000322
2,200327
2,400331
2,600335
2,800338
3,000341
3,500346
4,000351
4,500354
5,000357
6,000361
7,000364
8,000367
9,000368
10,000370
15,000375
20,000377
30,000379
40,000380
50,000381
75,000382
1,000,000384

The last row of the original table is one million; the "100,000 → 384" found in some reprints is a dropped zero.

Source: Krejcie, R. V., & Morgan, D. W. (1970). Determining sample size for research activities. Educational and Psychological Measurement, 30, 607–610.

The Morgan table formula

Robert Krejcie and Daryle Morgan published this table in 1970 in a paper titled "Determining Sample Size for Research Activities" in Educational and Psychological Measurement. Their aim was to let researchers read the sample size off the population size without any calculation. Every number in the table comes from one formula:

Krejcie and Morgan formula

  • S = χ² × N × P × (1 − P) ÷ (d² × (N − 1) + χ² × P × (1 − P))S is the sample size and N the population size
  • χ²: chi-square value with one degree of freedom at the chosen confidence level; 3.841 for 95%, i.e. 1.96 squared.
  • P: proportion of the trait in the population; set to 0.5 to give the largest sample size.
  • d: precision or margin of error; 0.05 in the table.
  • N: population size.

Example: a population of 500

  • S = 3.841 × 500 × 0.25 ÷ (0.0025 × 499 + 3.841 × 0.25)Substituting into the formula
  • S = 480.125 ÷ 2.20775 = 217.47Numerator and denominator
  • S ≈ 217Rounded to the nearest whole number; the same as the table

The table rounds to the nearest whole number. If you apply the same formula to all 90 population sizes you get exactly the printed table; the table on this page is generated with this formula and checked row by row against the original paper.

How to read the Morgan table

  1. Define the population precisely

    The population is everyone you generalise the results to; for example the 850 employees of one organisation, not every employee in the country.

  2. Take the same or the next larger row

    If your exact number is not in the table, the safest choice is the next larger row: for 820 people, the 850 row, i.e. 265 people. Or type the exact number into the calculator, which gives 262 people for 820.

  3. Allow for attrition

    The table gives the number of complete, usable questionnaires. If you expect 15% of responses to be incomplete or unusable, divide the table value by 0.85: for a population of 850, distribute at least 312 questionnaires.

  4. State the sampling method

    The table only gives the sample size, not how to select it. Even with the right number, a convenience sample does not represent the population; state the sampling method (simple random, stratified, cluster) in your methods chapter.

Morgan table or Cochran's formula?

Morgan's formula and Cochran's formula with the finite population correction are mathematically the same. Divide the numerator and denominator of Morgan's formula by d² and you get n₀ × N ÷ (N − 1 + n₀), exactly as in Cochran. They differ in only two details: Morgan uses χ² = 3.841 while Cochran uses z² = 3.8416, and Morgan rounds to the nearest whole number while Cochran is usually rounded up. That is why the two methods differ by one person at most.

Morgan table vs Cochran's formula
FeatureMorgan tableCochran's formula
ApplyCommon population sizes, no calculationAny population size, even an unknown one
Confidence level and margin of errorFixed: 95% and 0.05Adjustable, e.g. 99% or 0.03
Attribute proportion (p)Fixed: 0.5Adjustable if known from an earlier study
RoundingTo the nearest whole numberUsually up
Wording in a thesis"Based on the Krejcie and Morgan (1970) table""Using Cochran's formula", stating z, p and d

If you need a different confidence level or margin of error, or the population is unknown, calculate the sample size with Cochran's formula. The calculator on this page also accepts other confidence levels and margins, but with non-default settings the result is no longer "the Morgan table value"; call it a calculation with the Krejcie and Morgan formula.

Reporting the sample size in the methods chapter

"The statistical population consisted of 850 employees of … company. Based on the Krejcie and Morgan (1970) table, the sample size was set at 265. Allowing for 15% attrition, 312 questionnaires were distributed using stratified random sampling and the completed questionnaires were analysed."

Before data collection, also check the questionnaire's reliability on a pilot sample; Cronbach's alpha calculator takes the data straight from Excel. To collect the responses, build an online questionnaire so you know exactly how many complete responses you have and when you have reached the table value.

Frequently asked questions

What sample size does the Morgan table give for a population of 1,000?

278 people, at 95% confidence and a 0.05 margin of error. For a population of 100 it is 80, for 500 it is 217 and for 2,000 it is 322.

What is the largest sample size in the Morgan table?

384. The larger the population, the closer the table value gets to 384; it is 384 for a population of one million, and the same number is used for larger or unknown populations.

What if my population size is not in the table?

Type the exact number into the calculator on this page; it applies the table's formula to your number. If you want to use the table itself, take the next larger row so your sample is not too small.

Why do some tables give 384 for a population of 100,000?

The last row of the original table is one million. Many reprints dropped a zero and printed 100,000. For a population of one hundred thousand the formula gives 382.6, which rounds to 383; the one-person difference does not matter in practice.

Can the Morgan table be used for qualitative research?

No. The table was built for estimating a proportion with random sampling from a known population. In qualitative research, such as interviews, the sample size is set by reaching theoretical saturation, not by a formula.

Can I use the Morgan table with convenience sampling?

The table only gives the number. If you collect a convenience or volunteer sample, generalising the results to the population is limited even with the right number, and you should state this limitation in your thesis.

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