STANDARD ERRORS
The estimates in this publication are based on information gained from the occupants of a sample survey of dwellings. Because the entire population is not surveyed, the published original, seasonally adjusted and trend estimates are subject to sampling error. The most common way of quantifying such sampling error is to calculate the standard error for the published estimate or statistic. For more information, see paragraphs 25 to 27 of the Explanatory Notes.
LEVEL ESTIMATES
To illustrate, let us say the published level estimate for employed people aged 15-19 years is 700,000 and the associated standard error is 9,000. The standard error is then used to interpret the level estimate of 700,000. For instance, the standard error of 9,000 indicates that:
- There are approximately two chances in three that the real value falls within the range 691,000 to 709,000 (700,000 + or - 9,000)
- There are approximately nineteen chances in twenty that the real value falls within the range 682,000 to 718,000 (700,000 + or - 18,000).
The real value in this case is the result we would obtain if we could enumerate the total population.
The following table shows the standard errors for this month's level estimates.
| | | | | | | | | | | | AUSTRALIA |
| | | | NSW | VIC | QLD | SA | WA | TAS | NT | ACT | MALES | FEMALES | PEOPLE |
|
Aged 15 years and over | | | | | | | | | | | | |
| Employed | | | | | | | | | | | | |
| | Full time | ('000) | 26.4 | 19.7 | 17.7 | 7.5 | 11.2 | 2.9 | 2.3 | 2.9 | 32.6 | 24.9 | 39.7 |
| | Part time | ('000) | 19.4 | 13.3 | 12.6 | 5.8 | 8.5 | 2.4 | 0.8 | 2.2 | 14.8 | 22.7 | 28.2 |
| | Total | ('000) | 28.8 | 24.3 | 20.4 | 8.8 | 12.4 | 3.5 | 2.8 | 3.1 | 35.9 | 34.2 | 45.1 |
| Unemployed | | | | | | | | | | | | |
| | Looking for f/t | ('000) | 8.4 | 6.9 | 8.5 | 3.1 | 4.6 | 1.1 | 1.1 | 0.9 | 11.7 | 9.1 | 15.0 |
| | Looking for only p/t | ('000) | 5.4 | 5.6 | 5.5 | 2.0 | 3.1 | 0.7 | 0.3 | 0.6 | 6.6 | 7.6 | 10.1 |
| | Total | ('000) | 10.2 | 9.0 | 9.6 | 3.6 | 5.6 | 1.4 | 1.2 | 1.1 | 13.6 | 12.0 | 18.3 |
| Labour force | ('000) | 29.1 | 24.9 | 20.9 | 8.9 | 12.5 | 3.5 | 2.9 | 3.1 | 36.7 | 35.0 | 45.7 |
| Not in labour force | ('000) | 24.4 | 21.9 | 22.8 | 8.3 | 12.0 | 3.6 | 3.1 | 3.1 | 31.7 | 36.0 | 42.6 |
| Unemployment rate | | | | | | | | | | | | |
| | Looking for f/t | pts | 0.3 | 0.3 | 0.4 | 0.5 | 0.5 | 0.7 | 1.0 | 0.5 | 0.2 | 0.3 | 0.2 |
| | Looking for only p/t | pts | 0.4 | 0.5 | 0.6 | 0.6 | 0.7 | 0.7 | 0.9 | 0.8 | 0.5 | 0.3 | 0.2 |
| | Total | pts | 0.2 | 0.2 | 0.3 | 0.4 | 0.4 | 0.5 | 0.8 | 0.5 | 0.2 | 0.2 | 0.1 |
| Participation rate | pts | 0.4 | 0.5 | 0.5 | 0.6 | 0.6 | 0.8 | 1.5 | 0.9 | 0.4 | 0.3 | 0.2 |
| | | | | | | | | | | | | | |
Aged 15-19 years | | | | | | | | | | | | |
| Employed | | | | | | | | | | | | |
| | Full time | ('000) | 4.0 | 2.0 | 2.7 | 1.0 | 1.5 | 0.4 | 0.1 | 0.4 | 4.7 | 3.8 | 5.5 |
| | Part time | ('000) | 5.9 | 3.7 | 4.2 | 1.8 | 2.4 | 0.8 | 0.2 | 0.8 | 6.4 | 7.2 | 9.3 |
| | Total | ('000) | 6.9 | 4.1 | 5.0 | 2.0 | 2.7 | 0.8 | 0.2 | 0.9 | 7.5 | 7.8 | 10.5 |
| Unemployed | | | | | | | | | | | | |
| | Looking for f/t | ('000) | 2.9 | 1.5 | 2.9 | 0.8 | 1.5 | 0.3 | 0.3 | 0.3 | 3.8 | 2.8 | 4.7 |
| | Looking for only p/t | ('000) | 3.2 | 3.2 | 3.7 | 1.3 | 2.0 | 0.3 | 0.1 | 0.4 | 4.7 | 4.2 | 6.3 |
| | Total | ('000) | 4.4 | 3.5 | 4.9 | 1.6 | 2.5 | 0.5 | 0.3 | 0.5 | 6.0 | 5.1 | 7.9 |
| Labour force | ('000) | 7.5 | 4.4 | 5.6 | 2.2 | 3.1 | 0.9 | 0.3 | 0.9 | 8.3 | 8.3 | 11.5 |
| Not in labour force | ('000) | 9.3 | 6.2 | 7.7 | 2.8 | 4.4 | 1.1 | 0.7 | 1.2 | 10.7 | 9.9 | 15.0 |
| Unemployment rate | | | | | | | | | | | | |
| | Looking for f/t | pts | 3.8 | 4.6 | 4.9 | 6.4 | 7.0 | 9.4 | 13.7 | 12.7 | 2.8 | 3.8 | 2.2 |
| | Looking for only p/t | pts | 1.7 | 2.0 | 2.6 | 2.9 | 3.3 | 2.4 | 2.1 | 3.2 | 1.7 | 1.2 | 1.0 |
| | Total | pts | 1.7 | 1.8 | 2.4 | 2.7 | 3.1 | 2.6 | 4.5 | 3.3 | 1.5 | 1.2 | 1.0 |
| Participation rate | pts | 1.6 | 1.2 | 1.8 | 2.2 | 2.0 | 2.9 | 1.8 | 3.7 | 1.1 | 1.1 | 0.8 |
| Unemployment to population ratio - looking for f/t | pts | 0.6 | 0.4 | 0.9 | 0.8 | 1.0 | 1.0 | 2.0 | 1.1 | 0.5 | 0.4 | 0.3 |
|
MOVEMENT ESTIMATES
The following example illustrates how to use the standard error to interpret a movement estimate. Let us say that one month the published level estimate for females employed part-time in Australia is 1,890,000; the next month the published level estimate is 1,900,000 and the associated standard error for the movement estimate is 11,900. The standard error is then used to interpret the published movement estimate of 10,000. For instance, the standard error of 11,900 indicates that:
- There are approximately two chances in three that the real movement between the two months falls within the range - 1,900 to 21,900 (10,000 + or - 11,900)
- There are approximately nineteen chances in twenty that the real movement falls within the range - 13,800 to 33,800 (10,000 + or - 23,800).
The following table shows the standard errors for this month's movement estimates.
| | | | | | | | | | | | AUSTRALIA |
| | | | NSW | VIC | QLD | SA | WA | TAS | NT | ACT | MALES | FEMALES | PEOPLE |
|
Aged 15 years and over | | | | | | | | | | | | |
| Employed | | | | | | | | | | | | |
| | Full time | ('000) | 15.8 | 13.0 | 9.7 | 3.9 | 6.5 | 1.7 | 1.8 | 1.9 | 19.0 | 14.5 | 24.6 |
| | Part time | ('000) | 10.4 | 9.0 | 6.2 | 2.9 | 4.5 | 1.4 | 0.9 | 1.2 | 9.2 | 13.4 | 16.3 |
| | Total | ('000) | 19.1 | 16.1 | 13.8 | 5.8 | 8.6 | 2.3 | 2.0 | 2.3 | 21.3 | 20.1 | 30.6 |
| Unemployed | | | | | | | | | | | | |
| | Looking for f/t | ('000) | 8.6 | 7.3 | 8.0 | 3.4 | 4.9 | 1.1 | 0.9 | 1.2 | 11.7 | 9.6 | 15.2 |
| | Looking for only p/t | ('000) | 5.6 | 5.6 | 4.8 | 2.4 | 3.3 | 0.8 | 0.5 | 0.7 | 6.6 | 7.7 | 10.2 |
| | Total | ('000) | 10.4 | 9.2 | 9.5 | 4.2 | 5.8 | 1.4 | 1.0 | 1.3 | 13.5 | 12.4 | 18.5 |
| Labour force | ('000) | 19.6 | 16.5 | 14.7 | 6.3 | 9.0 | 2.3 | 2.1 | 2.3 | 22.0 | 20.6 | 31.5 |
| Not in labour force | ('000) | 18.1 | 15.8 | 14.3 | 5.9 | 8.9 | 2.2 | 2.1 | 2.5 | 18.5 | 22.2 | 30.1 |
| Unemployment rate | | | | | | | | | | | | |
| | Looking for f/t | pts | 0.3 | 0.3 | 0.5 | 0.6 | 0.5 | 0.7 | 0.9 | 0.6 | 0.2 | 0.3 | 0.2 |
| | Looking for only p/t | pts | 0.4 | 0.5 | 0.7 | 0.7 | 0.7 | 0.8 | 1.2 | 0.9 | 0.5 | 0.3 | 0.2 |
| | Total | pts | 0.2 | 0.3 | 0.4 | 0.4 | 0.4 | 0.5 | 0.8 | 0.5 | 0.2 | 0.2 | 0.1 |
| Participation rate | pts | 0.3 | 0.3 | 0.4 | 0.4 | 0.4 | 0.5 | 1.1 | 0.7 | 0.2 | 0.2 | 0.2 |
| | | | | | | | | | | | | | |
Aged 15-19 years | | | | | | | | | | | | |
| Employed | | | | | | | | | | | | |
| | Full time | ('000) | 2.6 | 1.9 | 1.8 | 0.7 | 1.1 | 0.3 | 0.3 | 0.3 | 3.4 | 2.7 | 3.9 |
| | Part time | ('000) | 4.1 | 3.4 | 2.7 | 1.3 | 1.8 | 0.6 | 0.4 | 0.6 | 4.4 | 4.9 | 6.2 |
| | Total | ('000) | 4.6 | 3.7 | 3.0 | 1.4 | 2.0 | 0.6 | 0.4 | 0.6 | 5.1 | 5.2 | 6.9 |
| Unemployed | | | | | | | | | | | | |
| | Looking for f/t | ('000) | 3.0 | 1.8 | 2.9 | 0.9 | 1.8 | 0.3 | 0.3 | 0.4 | 3.8 | 3.1 | 4.9 |
| | Looking for only p/t | ('000) | 3.3 | 3.2 | 3.3 | 1.5 | 2.2 | 0.4 | 0.2 | 0.5 | 4.7 | 4.2 | 6.3 |
| | Total | ('000) | 4.6 | 3.6 | 4.3 | 1.8 | 2.9 | 0.5 | 0.4 | 0.6 | 6.0 | 5.2 | 7.9 |
| Labour force | ('000) | 4.9 | 3.9 | 3.3 | 1.5 | 2.2 | 0.6 | 0.5 | 0.6 | 5.5 | 5.6 | 7.4 |
| Not in labour force | ('000) | 5.8 | 5.1 | 3.8 | 1.8 | 2.8 | 0.7 | 0.9 | 0.7 | 6.9 | 6.6 | 9.2 |
| Unemployment rate | | | | | | | | | | | | |
| | Looking for f/t | pts | 4.0 | 4.8 | 5.2 | 7.6 | 8.1 | 10.1 | 12.7 | 16.9 | 2.9 | 4.4 | 2.4 |
| | Looking for only p/t | pts | 1.8 | 2.0 | 2.8 | 3.3 | 3.5 | 2.8 | 4.1 | 3.8 | 1.8 | 1.3 | 1.1 |
| | Total | pts | 1.7 | 1.9 | 2.6 | 3.1 | 3.3 | 2.9 | 4.5 | 4.1 | 1.5 | 1.3 | 1.0 |
| Participation rate | pts | 1.0 | 1.0 | 1.0 | 1.4 | 1.4 | 2.0 | 3.2 | 2.6 | 0.7 | 0.8 | 0.5 |
| Unemployment to population ratio - looking for f/t | pts | 0.6 | 0.5 | 0.9 | 0.9 | 1.2 | 0.9 | 2.2 | 1.5 | 0.5 | 0.4 | 0.3 |
|