# Significant figures

The

**significant figures**of a number written in positional notation are digits that carry meaningful contributions to its measurement resolution. This includes all digits

*except*:

- All leading zeros. For example, "013." has two significant figures: 1 and 3;
- Trailing zeros when they are merely placeholders to indicate the scale of the number ; and
- digits introduced, for example, by calculations carried out to greater precision than that of the original data, or measurements reported to a greater precision than the equipment supports.

**most significant**is the position with the highest exponent value, and the

**least significant**is the position with the lowest exponent value. For example, in the number "123", the "1" is the most significant figure as it counts hundreds, and "3" is the least significant figure as it counts ones.

Significance arithmetic is a set of approximate rules for roughly maintaining significance throughout a computation. The more sophisticated scientific rules are known as propagation of uncertainty.

Numbers are often rounded to avoid reporting insignificant figures. For example, it would create false precision to express a measurement as 12.34525 kg if the scales only measured to the nearest gram and gave a reading of 12.345 kg. Numbers can also be rounded merely for simplicity rather than to indicate a given precision of measurement, for example, to make them faster to pronounce in news broadcasts.

Radix 10 is assumed in the following.

## Identifying significant figures

### Concise rules

- All non-zero digits are significant: 1, 2, 3, 4, 5, 6, 7, 8, 9.
- Zeros between non-zero digits are significant: 102, 2005, 50009.
- Leading zeros are never significant: 0.02, 001.887, 0.000515.
- In a number
*with*or*without*a decimal point, trailing zeros are significant if they are justified by the precision of their derivation: 389,000; 2.02000; 5.400; 57.5400. More information through additional graphical symbols or explicit information on errors is needed to clarify the significance or importance of trailing zeros.### Significant figures rules explained

- All non-zero digits are considered significant. For example, 91 has two significant figures, while 123.45 has five significant figures.
- Zeros appearing anywhere between two non-zero digits are significant: 101.1203 has seven significant figures: 1, 0, 1, 1, 2, 0 and 3.
- Zeros to the left of the significant figures are not significant. For example, 0.00052 has two significant figures: 5 and 2.

- The significance of trailing zeros in a number not containing a decimal point can be ambiguous. For example, it may not always be clear if a number like 1300 is precise to the nearest unit or if it is only shown to the nearest hundred due to rounding or uncertainty. Many conventions exist to address this issue, but these conventions are mostly esoteric and not understood by those who are not specialists in the subject:

### Scientific notation

In most cases, the same rules apply to numbers expressed in scientific notation. However, in the normalized form of that notation, placeholder leading and trailing digits do not occur, so all digits are significant. For example, becomes, and becomes. In particular, the potential ambiguity about the significance of trailing zeros is eliminated. For example, to four significant figures is written as, while to two significant figures is written as.The part of the representation that contains the significant figures is known as the significand or mantissa.

## Rounding and decimal places

The basic concept of significant figures is often used in connection with rounding. Rounding to significant figures is a more general-purpose technique than rounding to*n*decimal places, since it handles numbers of different scales in a uniform way. For example, the population of a city might only be known to the nearest thousand and be stated as 52,000, while the population of a country might only be known to the nearest million and be stated as 52,000,000. The former might be in error by hundreds, and the latter might be in error by hundreds of thousands, but both have two significant figures. This reflects the fact that the significance of the error is the same in both cases, relative to the size of the quantity being measured.

To round to

*n*significant figures:

- Identify the significant figures before rounding. These are the
*n*consecutive digits beginning with the first non-zero digit. - If the digit immediately to the right of the last significant figure is greater than 5 or is a 5 followed by other non-zero digits, add 1 to the last significant figure. For example, 1.2459 as the result of a calculation or measurement that only allows for 3 significant figures should be written 1.25.
- If the digit immediately to the right of the last significant figure is a 5 not followed by any other digits or followed only by zeros, rounding requires a tie-breaking rule. For example, to round 1.25 to 2 significant figures:
- *Round half away from zero rounds up to 1.3. This is the default rounding method implied in many disciplines if not specified.
- * Round half to even, which rounds to the nearest even number, rounds down to 1.2 in this case. The same strategy applied to 1.35 would instead round up to 1.4. This is the method preferred by many scientific disciplines, because, for example, it avoids skewing the average value of a long list of values upwards.
- Replace non-significant figures in front of the decimal point by zeros.
- Drop all the digits after the decimal point to the right of the significant figures.

In UK personal tax returns income is rounded down to the nearest pound, whilst tax paid is calculated to the nearest penny.

As an illustration, the decimal quantity

**12.345**can be expressed with various numbers of significant digits or decimal places. If insufficient precision is available then the number is rounded in some manner to fit the available precision. The following table shows the results for various total precisions and decimal places.

Precision | Rounded to significant figures | Rounded to decimal places |

6 | 12.3450 | 12.345000 |

5 | 12.345 | 12.34500 |

4 | 12.34 or 12.35 | 12.3450 |

3 | 12.3 | 12.345 |

2 | 12 | 12.34 or 12.35 |

1 | 10 | 12.3 |

0 | align=left | 12 |

Another example for

**0.012345**:

Precision | Rounded to significant figures | Rounded to decimal places |

7 | 0.01234500 | 0.0123450 |

6 | 0.0123450 | 0.012345 |

5 | 0.012345 | 0.01234 or 0.01235 |

4 | 0.01234 or 0.01235 | 0.0123 |

3 | 0.0123 | 0.012 |

2 | 0.012 | 0.01 |

1 | 0.01 | 0.0 |

0 | align=left | 0 |

The representation of a positive number

*x*to a precision of

*p*significant digits has a numerical value that is given by the formula:

which may need to be written with a specific marking as detailed above to specify the number of significant trailing zeros.

## Arithmetic

As there are rules for determining the number of significant figures in directly*measured*quantities, there are rules for determining the number of significant figures in quantities

*calculated*from these

*measured*quantities.

Only

*measured*quantities figure into the determination of the number of significant figures in

*calculated quantities*. Exact mathematical quantities like the in the formula for the area of a circle with radius, has no effect on the number of significant figures in the final calculated area. Similarly the in the formula for the kinetic energy of a mass with velocity,, has no bearing on the number of significant figures in the final calculated kinetic energy. The constants and are considered for this purpose to have an

*infinite*number of significant figures.

For quantities created from measured quantities by

**multiplication**and

**division**, the calculated result should have as many significant figures as the

*measured*number with the

*least*number of significant figures. For example,

with only

*two*significant figures. The first factor has four significant figures and the second has two significant figures. The factor with the least number of significant figures is the second one with only two, so the final calculated result should also have a total of two significant figures. However see below regarding intermediate results.

For quantities created from measured quantities by

**addition**and

**subtraction**, the last significant

*decimal place*in the calculated result should be the same as the

*leftmost*or largest

*decimal place*of the last significant figure out of all the

*measured*quantities in the terms of the sum. For example,

with the last significant figure in the

*tenths*place. The first term has its last significant figure in the tenths place and the second term has its last significant figure in the thousandths place. The leftmost of the decimal places of the last significant figure out of all the terms of the sum is the tenths place from the first term, so the calculated result should also have its last significant figure in the tenths place.

The rules for calculating significant figures for multiplication and division are opposite to the rules for addition and subtraction. For multiplication and division, only the total number of significant figures in each of the factors matters; the decimal place of the last significant figure in each factor is irrelevant. For addition and subtraction, only the decimal place of the last significant figure in each of the terms matters; the total number of significant figures in each term is irrelevant. However, greater accuracy will often be obtained if some non-significant digits are maintained in intermediate results which are used in subsequent calculations.

In a base 10 logarithm of a normalized number, the result should be rounded to the number of significant figures in the normalized number. For example, log

_{10}= log

_{10}+ log

_{10}≈ 4 + 0.47712125472, should be rounded to 4.4771.

When taking antilogarithms, the resulting number should have as many significant figures as the mantissa in the logarithm.

When performing a calculation, do not follow these guidelines for intermediate results; keep as many digits as is practical until the end of calculation to avoid cumulative rounding errors.

## Estimating tenths

When using a ruler, initially use the smallest mark as the first estimated digit. For example, if a ruler's smallest mark is 0.1 cm, and 4.5 cm is read, it is 4.5 or 4.4 – 4.6 cm. However, in practice a measurement can usually be estimated by eye to closer than the interval between the ruler's smallest mark, e.g. in the above case it might be estimated as between 4.51 cm and 4.53 cm.It is also possible that the overall length of a ruler may not be accurate to the degree of the smallest mark, and the marks may be imperfectly spaced within each unit. However assuming a normal good quality ruler, it should be possible to estimate tenths between the nearest two marks to achieve an extra decimal place of accuracy. Failing to do this adds the error in reading the ruler to any error in the calibration of the ruler.

## Estimation

When estimating the proportion of individuals carrying some particular characteristic in a population, from a random sample of that population, the number of significant figures should not exceed the maximum precision allowed by that sample size.## Relationship to accuracy and precision in measurement

Traditionally, in various technical fields, "accuracy" refers to the closeness of a given measurement to its true value; "precision" refers to the stability of that measurement when repeated many times. Hoping to reflect the way the term "accuracy" is actually used in the scientific community, there is a more recent standard, ISO 5725, which keeps the same definition of precision but defines the term "trueness" as the closeness of a given measurement to its true value and uses the term "accuracy" as the combination of trueness and precision. In either case, the number of significant figures roughly corresponds to*precision*, not to either use of the word accuracy or to the newer concept of trueness.