4446.0 - Disability, Australia, 2003  
ARCHIVED ISSUE Released at 11:30 AM (CANBERRA TIME) 06/05/2004   
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ESTIMATION PROCEDURES

1 Estimates of numbers of persons with particular characteristics were derived from the survey using a ratio estimation procedure which ensured that the survey estimates conform to an independently estimated distribution of the total population by age, sex and area. The benchmark for persons was the estimated resident population for 30 June 2003. The benchmark population included special dwellings and Australian defence force personnel, but excluded people from remote and sparsely settled areas of Australia.


2 The responses from persons in the cared-accommodation component and persons in the household component of the survey were weighted together, using factors to account for the different sampling fractions, in order to represent the entire Australian population.


3 The post-stratification weighting for person estimation used the variables:

  • state or territory
  • part of state - capital city or balance of state (Australian Capital Territory and Northern Territory are not split)
  • age group (0-4, 5-9,...75-79, 80-84, 85+)
  • sex (male or female).


RELIABILITY OF ESTIMATES

4 Since the estimates in this publication are based on information obtained from occupants of a sample of dwellings, they are subject to sampling variability, that is, they may differ from those that would have been produced if all dwellings had been included in the survey. One measure of the likely difference is given by the standard error (SE), which indicates the extent to which an estimate might have varied by chance because only a sample of dwellings was included. There are about two chances in three that a sample estimate will differ by less than one SE from the number that would have been obtained if all dwellings had been included, and about 19 chances in 20 that the difference will be less than two SEs. Another measure of the likely difference is the relative standard error (RSE), which is obtained by expressing the SE as a percentage of the estimate.


5 The size of the SE increases with the level of the estimate, so that the larger the estimate the larger is the SE. However, it should be noted that the larger the sample estimate the smaller will be the SE in percentage terms (that is, the RSE). Thus, larger estimates will be relatively more reliable than smaller estimates. In the tables in this publication, only estimates with RSEs of 25% or less, and percentages based on such estimates, are considered sufficiently reliable for most purposes. However, estimates and percentages with RSEs between 25% and 50% have been included and are preceded by an asterisk (e.g. *3.4) to indicate that they are subject to high SEs and should be used with caution. Estimates with RSEs greater than 50% are also included and are preceded by a double asterisk (e.g. **0.1). Such estimates are considered too unreliable for general use.



CALCULATION OF STANDARD ERRORS

Standard error of an estimate

6 Included in this publication are tables which present an approximate SE for each estimate in the publication. Tables T1 to T4 below repeat the layout of the publication tables but rather than survey estimates, they contain estimates of the SEs or RSEs. For example, from Table 3 we see that 598,100 persons had a severe core activity limitation. Table T3 indicates that the standard error for this estimate is 21,990 (3.7%).


7 Therefore, there are about two chances in three that the actual number of persons with a core activity limitation was within the range 576,110 to 620,090 and about 19 chances in 20 that it was within the range 554,120 to 642,080.


Standard error of a proportion

8 Proportions and percentages formed from the ratio of two estimates are also subject to sampling error. The size of the error depends on the accuracy of both the numerator and the denominator. The formula for the RSE of a proportion or percentage is :


Equation: RSE equation


9 In using the formula, the numerator and the denominator will be estimates over subsets of the population. The formula is only valid when the set for the numerator is a subset of the set for the denominator.


10 The SE of an estimated percentage or rate, computed by using sample data for both numerator and denominator, depends on both the size of the numerator and the size of the denominator. However, the RSE of the estimated percentage or rate will generally be lower than the RSE of the estimate of the numerator.


11 An example from Table 3 is the proportion of persons with a disability who had a severe level of core activity limitation, 15%. The numerator, the number of persons with a severe level of core activity limitation, is 598,100. The denominator, the number of persons with a disability, is 3,951,000.

      SE for 598,100 = 21,990 or 3.7% RSE
      SE for 3,951,000 = 48,532 or 1.2% RSE
      The difference of the RSE squares = 12.25
      The square root of the difference is 3.5%, the RSE of the proportion.

Standard error of a difference

12 Published estimates may also be used to calculate the difference between two survey estimates (numbers or percentages). The difference between two survey estimates is itself an estimate and is therefore subject to sampling error. The SE of the difference between two survey estimates depends on the SEs of the original estimates and on the relationship (correlation) between the two original estimates. An approximate SE of the difference between two estimates (x-y) may be calculated using the following formula:


Equation: standard error of a difference


13 While this formula will only be exact for differences between separate and uncorrelated (unrelated) characteristics or sub-populations, it is expected to provide a good enough approximation for all of the differences likely to be of interest.



STANDARD ERROR TABLES

T1 RELATIVE STANDARD ERRORS FOR TABLE 1

1998
2003
Males
Females
Persons
Males
Females
Persons
Age group (years)
%
%
%
%
%
%

0-4
12.0
16.7
9.2
11.3
16.9
9.6
5-14
4.2
6.3
3.2
5.7
8.3
4.8
15-24
4.8
5.7
3.3
8.3
8.6
6.0
25-34
4.1
4.6
2.8
5.2
6.7
4.5
35-44
3.3
3.5
2.2
4.5
5.9
3.8
45-54
2.8
2.8
3.3
4.3
3.5
3.0
55-59
4.2
4.2
2.5
5.4
4.2
3.7
60-64
3.7
4.2
2.0
4.7
4.3
3.3
65-69
3.8
4.2
1.8
4.6
5.3
3.5
70-74
3.5
3.5
0.2
3.9
3.9
2.3
75-79
3.5
3.3
2.2
4.8
3.3
3.3
80-84
4.7
3.3
2.5
2.8
3.0
1.9
85 and over
3.6
2.1
1.8
3.1
2.6
2.0
Total
0.8
0.9
0.5
1.4
1.4
1.2
Total, age standardised
1.2
1.5
0.8
1.4
1.4
1.2

T2 RELATIVE STANDARD ERRORS FOR TABLE 2

1998
2003
Males
Females
Persons
Males
Females
Persons
Age group (years)
%
%
%
%
%
%

0-4
15.4
27.1
12.8
14.4
23.5
12.6
5-14
6.7
10.4
5.2
9.7
12.9
8.3
15-24
12.5
14.6
8.8
16.0
16.2
12.7
25-34
11.1
11.1
7.1
15.3
12.8
9.9
35-44
9.7
8.1
5.8
12.5
10.7
10.0
45-54
7.2
6.5
4.5
10.6
9.6
7.4
55-59
10.3
11.2
6.8
14.3
11.4
8.7
60-64
12.0
11.1
7.3
13.8
11.7
8.1
65-69
13.1
11.6
7.7
15.2
12.2
8.0
70-74
11.1
8.6
5.8
9.1
9.7
6.5
75-79
10.1
6.8
5.3
10.2
8.4
6.5
80-84
12.0
6.5
5.4
10.9
6.3
5.3
85 and over
7.7
3.4
3.0
4.0
6.3
4.6
Total
3.7
2.8
1.2
3.4
3.0
2.5
Total, age standardised
4.3
3.7
1.5
3.4
3.0
2.5

T3 STANDARD ERRORS FOR TABLE 3

Profound core activity limitation
Severe core activity limitation
Moderate core activity limitation
Mild core activity limitation
Schooling or employment restriction
All with specific restrictions or limitations
All with disability
No reported disability
Total

MALES

0-4
2,604
1,763
713
-
. .
2,916
3,366
3,366
-
5-14
5,423
5,973
2,436
4,019
8,902
9,101
9,584
8,863
2,603
15-24
3,366
3,709
2,512
4,212
8,602
8,751
10,577
11,539
6,133
25-34
3,255
3,674
3,048
5,298
7,933
8,168
9,081
9,081
-
35-44
3,759
3,625
4,768
5,538
8,519
8,669
9,715
9,715
-
45-54
2,703
4,383
6,898
7,329
10,155
11,222
12,491
12,491
-
55-59
1,673
3,809
5,551
5,268
7,418
8,849
9,079
9,158
652
60-64
2,057
3,389
4,475
5,525
8,464
9,056
8,264
8,400
652
65-69
2,981
3,109
5,061
5,750
. .
6,668
6,765
6,943
890
70-74
2,719
2,545
3,747
5,162
. .
5,420
5,654
5,823
890
75-79
3,683
2,770
4,033
5,752
. .
6,533
6,679
6,776
658
80-84
2,679
3,020
2,885
5,044
. .
4,432
3,931
4,175
3,198
85 and over
2,362
1,763
2,133
4,421
. .
3,266
3,253
3,190
3,200
Total
13,127
12,690
15,271
15,716
23,942
24,848
28,339
28,606
8,308

FEMALES

0-4
2,511
2,637
799
598
. .
3,756
4,026
4,026
-
5-14
2,848
3,884
1,368
3,346
7,305
7,746
8,083
8,433
2,884
15-24
3,035
3,366
2,563
4,489
7,373
8,461
10,735
11,971
4,366
25-34
2,295
3,859
2,696
4,470
7,228
7,857
9,560
9,560
-
35-44
1,950
4,255
4,684
5,283
10,920
11,188
12,104
12,104
-
45-54
3,909
4,573
5,858
7,209
9,749
10,925
10,097
10,097
-
55-59
2,533
3,916
5,984
7,413
7,153
8,489
7,487
7,487
-
60-64
3,372
3,307
4,137
5,040
7,626
6,671
6,680
6,680
-
65-69
2,891
3,352
4,665
4,815
. .
7,491
7,285
7,285
-
70-74
3,277
4,734
4,557
5,442
. .
5,532
6,354
6,354
-
75-79
4,710
3,706
4,129
5,138
. .
6,003
5,603
5,593
611
80-84
4,088
5,243
2,976
3,892
. .
4,530
4,527
4,574
620
85 and over
7,352
2,577
6,318
4,329
. .
4,216
4,088
4,023
515
Total
14,734
15,678
18,079
17,367
19,909
25,070
28,323
31,824
7,241

PERSONS

0-4
3,861
3,286
1,038
598
. .
4,512
5,119
5,119
-
5-14
5,650
7,085
2,788
4,253
13,040
13,366
12,693
12,489
5,320
15-24
5,015
5,267
3,549
5,647
10,553
11,757
15,013
17,014
8,835
25-34
3,655
5,459
4,386
6,098
9,796
10,750
14,140
14,140
-
35-44
4,888
5,810
6,338
8,435
15,962
15,349
16,028
16,028
-
45-54
5,724
5,880
10,081
9,900
16,268
17,354
17,536
17,536
-
55-59
2,680
5,763
8,211
7,504
10,617
13,084
12,691
12,724
652
60-64
3,576
4,197
5,894
8,569
9,988
10,569
10,938
11,116
652
65-69
3,640
4,218
6,689
7,274
. .
9,586
10,042
10,131
890
70-74
4,736
5,071
6,049
6,788
. .
5,703
7,069
7,129
890
75-79
5,724
5,070
6,295
7,607
. .
10,038
10,075
10,146
900
80-84
5,705
5,930
4,062
6,852
. .
5,692
5,562
5,874
3,318
85 and over
7,531
3,360
7,289
6,136
. .
4,826
5,123
5,367
3,150
Total
22,072
21,990
28,760
20,206
37,304
41,970
48,532
53,286
13,794

. . not applicable
- nil or rounded to zero (including null cells)

T4 STANDARD ERRORS FOR TABLE 4

Profound core activity limitation
Severe core activity limitation
Moderate core activity limitation
Mild core activity limitation
Schooling or employment restriction
All with specific restrictions or limitations
All with disability
No reported disability
Total

Level of highest non-school qualification
Postgraduate Degree
762
1,730
1,368
2,619
2,178
2,833
3,878
14,008
13,737
Graduate Diploma / Graduate Certificate
608
2,558
2,118
2,694
4,212
5,027
5,659
14,885
15,776
Bachelor Degree
3,281
4,227
5,504
6,228
7,599
10,564
12,993
35,782
37,891
Advanced Diploma / Diploma
1,827
3,274
4,326
4,723
6,450
7,303
11,162
26,253
29,892
Certificate III / IV
2,957
7,592
9,357
10,076
16,368
19,419
22,016
32,591
40,182
Certificate I / II
1,276
1,890
2,502
2,116
3,511
4,353
5,154
11,764
13,971
Certificate not further defined
1,451
2,014
2,127
2,602
3,995
4,577
5,726
10,821
12,506
No non-school qualification
8,847
11,592
14,865
13,323
23,477
26,380
30,986
41,360
49,868
Level not determined
209
1,441
1,649
1,583
3,246
3,619
4,058
7,520
8,492
Labour force status
Employed full-time
2,575
4,708
8,209
8,662
14,110
16,410
20,541
49,020
50,137
Employed part-time
2,026
4,933
5,864
9,144
14,643
16,690
16,925
42,729
47,066
Total employed
3,090
7,147
10,149
14,115
20,832
25,624
29,666
39,032
46,794
Unemployed
1,521
3,294
3,580
4,368
7,647
8,308
9,360
21,499
23,371
Total in the labour force
3,559
8,589
10,792
16,597
22,557
27,975
32,925
42,505
45,942
Not in the labour force
9,611
13,437
13,273
10,775
27,057
27,892
27,554
32,817
44,668
Total
10,851
15,501
20,276
17,278
34,208
36,155
40,412
42,234
9,395