Guide on Gender Analysis of Census Data Full Draft of 6 December 2012 Contents


Table 39: El Salvador (2007) - School attendance of 6-14 year olds by sex and type of disability



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Table 39: El Salvador (2007) - School attendance of 6-14 year olds by sex and type of disability


Type of Disability

Boys

Girls

Difficulty Walking or Moving

40.4

41.1

Difficulty in Use of Hands or Arms

38.3

38.0

Sight Impairment, Even Using Glasses

67.6

71.4

Hearing Impairment, Even Using Hearing Aids

48.3

52.5

Speech Impairment

31.6

32.3

Mental Retardation or Deficiency

20.6

19.3

Difficulty Bathing, Clothing, Eating

27.2

31.9

Oher Type of Disability

40.2

44.1

No Disability of Any Type

83.7

84.3

Source: Computed from the On-line REDATAM Data Base of the 2007 Population and Housing Census of El Salvador


537. The table shows that having a disability significantly reduces children’s chances to attend formal education, particularly in the case of mental problems, speech impairment or difficulty in carrying out everyday tasks such as bathing, clothing and eating. Sight impairment is the least serious disability, from the viewpoint of school attendance. The differences between boys and girls are small, with school attendance in most categories slightly higher for girls. This may not be typical of the situation in other parts of the world. The WHO World Report on Disability (2011) (Table 7.1) lists school completion figures for a weighted sample of 51 countries, based on survey data, which suggest that disability reduces a boy’s chances of school completion from 61.3 to 50.6 per cent (i.e. a factor of 0.825) and a girl’s chances from 52.9 to 41.7 per cent (i.e. a factor 0.788). However, as always it is crucial that these data be analysed by age group, not only because male and female age structures may be different, but also because things may have changed and the situation of younger cohorts may be quite different from older cohorts. The report of the 2007 census of Swaziland (Volume 4), for example, lists 617 girls with disabilities between the ages of 10 and 19 that had never attended formal education, compared to 665 boys, suggesting a slightly more favourable situation for girls. But among men and women with disabilities between the ages of 40 and 49 the overall number and the gender balance were quite different, with 2789 women and 1484 men that had never attended formal education.
Table 40: El Salvador (2007) - Percentage of ever married 30-39 year olds by sex and type of disability


Type of Disability

Men

Women

Difficulty Walking or Moving

57.0

49.9

Difficulty in Use of Hands or Arms

53.4

48.0

Sight Impairment, Even Using Glasses

68.8

67.0

Hearing Impairment, Even Using Hearing Aids

39.3

42.5

Speech Impairment

21.4

28.2

Mental Retardation or Deficiency

6.9

16.0

Difficulty Bathing, Clothing, Eating

31.8

38.7

Other Type of Disability

51.9

51.7

No Disability of Any Type

79.1

77.1

Source: Computed from the On-line REDATAM Data Base of the 2007 Population and Housing Census of El Salvador


538. Table 40, obtained from the same source, compares the probabilities of men and women with disabilities ever having been married by the time they are in their thirties. The picture here is somewhat mixed. Although some types of disability affect the marriage chances of women more than those of men, such as difficulties in walking or in the use of hands or arms, women with hearing or speech impairments or with mental retardation or deficiency or those who have difficulty in performing everyday activities actually have a better chance of marrying than men with these disabilities.
539. Census data on voluntary caring for persons with disabilities are hard to get by because only a handful of censuses ask these questions. The 2007 census of Ireland, which did address this issue, yielded the following table for men and women by marital status.
Table 41: Ireland (2007) - Voluntary care given by sex and marital status of the caregiver and the number of hours of care given per week


Men

Total

1-14 hours

15-28 hours

29-42 hours

43+ hours

Single

20,190

12,251

2,218

1,762

3,959

Married

36,565

21,853

3,554

2,013

9,145

Separated

2.979

1,800

361

201

617

Widowed

969

496

107

73

293

Women




Single

24,594

15,069

2,725

1,650

5,150

Married

64,054

35,806

6,877

3,181

18,190

Separated

6,723

3,783

758

403

1,779

Widowed

4,843

2,305

493

295

1,750

Source: Population and Housing Census of Ireland (2007), Report 11


540. Some countries publish more detailed tabulations, based on more detailed census information, beyond the standard questions. The census report of Liberia (2008), for example, contains a table on the cause of disability, with the following categories:
Table 42: Liberia (2008) – Causes of disability by sex
Males Females
From birth 4,708 4,174

Polio 2,288 1,878

Stroke 1,162 982

Epilepsy 1,195 1,125

War 7,634 6,131

Occupational injury 2,633 1,407

Transportation accident 1,731 923

Other types of accident 4,116 2,303

Ageing process 4,224 5,675

Other causes 11,147 12,476

Other diseases 15,824 16,624
Total 56,562 63,698
541. What this shows is that overall disability numbers are slightly higher for women than for men, but that this difference is entirely accounted for by the last three causes of disability. The greater incidence of disabilities associated with ageing is due, to some extent, to the larger number of elderly women in the population, but this does not explain everything. The female population over age 60 is 6.1 per cent larger than the equivalent male population, but the number of disabilities related to ageing in women is 34.4 per cent larger. Women, therefore, do appear to suffer disproportionally from disabilities associated with old age. Strangely, a category of causes of disability not included here is that of disabilities associated to childbirth. That this category can be important is shown by Stubbs and Tawahke (2009), in their study on Samoa, which shows that 7.7 per cent of women with disabilities acquired their disability through child birth complications. Another important category from a gender perspective is disability caused by spousal violence. This is one of the 7 categories (congenital/prenatal, disease/illness, injury/accident, spousal violence, other violence, unknown, other) included in the 2010 census of Zambia.

542. Investigating a specific topic or factor, such as education, may serve as a useful indicator of disability and gender issues. For instance, Possi’s (1996) study of Tanzania indicates that while the gender parity in education is not an issue at the primary school level, the number of enrolled girls with disabilities decreases as the number of years in secondary school increases, similarly to the pattern for non-disabled girls in primary and secondary schools in Tanzania. Further, very few women with disabilities have a college or university education. (This analysis is relatively meaningless if it doesn’t make a comparison with the statistics for boys).


5. Indicators
543. Using data from subsequent censuses can provide another gendered measure of disability status. Using census data from Ireland, it was found that there were more males than females living with a disability in 2000 (among the disabled population enumerated in the 2000 census, 20,576 were males and 20,214 were females; the sex-ratio was 101.8). Nevertheless, although the sex ratios indicated more males than females among the disabled population (both in 1990 and 2000), the decline in the sex ratio in 2000 denoted that the female disabled population has been growing at a faster rate than the corresponding male population. In order to correctly interpret this trend, however, one would need to separate the components of this increase that are due to the actual increase of the age-specific prevalence of disabilities from the age effect, which is due to the fact that the female population is ageing faster than the male population. A solution to this type of problem is by using age standardization (see the Methodology Box below).
Methodology Box 9: Age Standardization
The 2011 census of Montenegro found that 54 per cent of the people in the country living with a disability were women and 46 per cent were men (UNECE, 2012 b). If the objective of computing this statistic is to know whether the care for persons with disabilities should be organized predominantly to attend to female or to male patients, it is an appropriate indicator. However, if the objective is to establish whether women are more or less prone to suffer from disabilities than men, it is flawed by two intervening factors, namely:

1. There are more women than men in the population; and



2. The excess of women over men is concentrated in the oldest ages, where disabilities are most common.
To take care of the first problem, one may compute a different statistic, namely the percent-age of men and women that suffer from disabilities. Unlike the previous indicator, this one is not affected by the total number of men and women. The result is 11.7 per cent for women, compared to 10.2 per cent for men, which still suggests a higher incidence of disabilities among women. However, when one age-standardizes this difference, i.e. when one computes the percentages by age and then applies them to the same age distribution (in this case, the age distribution for both sexes combined), the difference disappears and both percentages become 11.0 per cent. The incidence of disabilities in men is higher early in life, whereas for women it is higher at older ages, but given the age distribution for both sexes combined, the overall incidence is about the same.
The following example from the 2010 census of Mexico illustrates how to carry out the various steps to standardize the age structure.





Population

Percent Disabled

Number Disabled

Idem Standardized

Male

Female

Total

Male

Female

Male

Female

Male

Female

0-4

5,346,943

5,181,379

10,528,322

0.87

0.70

46,259

36,323

91,086

73,807

5-9

5,604,175

5,443,362

11,047,537

1.87

1.35

104,718

73,380

206,431

148,928

10-14

5,547,613

5,392,324

10,939,937

2.00

1.59

110,882

85,523

218,660

173,509

15-19

5,520,121

5,505,991

11,026,112

1.81

1.43

99,954

78,713

199,652

157,628

20-24

4,813,204

5,079,067

9,892,271

1.89

1.37

91,053

69,806

187,135

135,958

25-29

4,205,975

4,582,202

8,788,177

2.08

1.42

87,530

65,043

182,890

124,746

30-34

4,026,031

4,444,767

8,470,798

2.45

1.67

98,726

74,296

207,720

141,593

35-39

3,964,738

4,328,249

8,292,987

2.78

1.97

110,259

85,073

230,627

163,001

40-44

3,350,322

3,658,904

7,009,226

3.59

2.85

120,248

104,229

251,571

199,668

45-49

2,824,364

3,104,366

5,928,730

4.77

4.14

134,690

128,499

282,733

245,408

50-54

2,402,451

2,661,840

5,064,291

6.40

6.04

153,815

160,884

324,237

306,090

55-59

1,869,537

2,025,828

3,895,365

8.50

8.30

158,881

168,187

331,044

323,399

60-64

1,476,667

1,639,799

3,116,466

11.44

11.49

168,883

188,340

356,423

357,943

65-69

1,095,273

1,221,992

2,317,265

15.32

15.56

167,839

190,138

355,096

360,559

70-74

873,893

1,000,041

1,873,934

20.64

21.29

180,328

212,863

386,687

398,875

75-79

579,689

665,794

1,245,483

27.54

28.39

159,620

189,031

342,949

353,615

80-84

355,277

443,659

798,936

35.39

36.63

125,739

162,497

282,758

292,623

85+

298,739

404,556

703,295

46.01

48.40

137,461

195,801

323,612

340,388

Total

54155012

56784120

110939132

4.17

4.00

2256885

2268626

4761313

4297736

Source: INEGI, Tabulations from the 2010 census


The percentage of persons with disabilities who are women is 2,268,626 / (2,256,885 + 2,268,626) = 50.1 per cent. The percentage of persons who have a disability is 100 * 2,268,626 / 56,784,120 = 4.00 per cent for women, compared to 100 * 2,256,885 / 54,155,012 = 4.17 per cent for men. The age standardization consists in applying the percentage of persons with a disability, separated by sex, not to the corresponding male or female population, but to a common population, in this case made up of all individuals, of both sexes. This yields the hypothetical results displayed in the last two columns, which vary between the sexes because of the different proportions of disabilities among men and women, but not because of the different numbers of men in the base population. The age standardized percentage of women with disabilities is now 100 * 4,297,736 / (54,155,012 + 56,784,120) = 3.87 per cent, compared to 100 * 4,297,736 / (54,155,012 + 56,784,120) = 4.29 per cent for men. Again, the male rates tend to be higher until age 60, whereas the female rates are higher at older ages.

544. In the case of Nicaragua, where the overall percentage of persons with disabilities is 9.1 for men and 11.3 for women (Mont, 2007), male disability rates are higher than female rates until adulthood; men and women are similar until age 39; after that, the rates diverge to a 10 percentage point differential in favour of men. This suggests that there is something about events during the life course that differentiate the experiences of women and men in how and when they acquire disabilities. The research by Stubbs and Tawake (2009) in Somoa showcased just above might suggest that this mid-life higher propensity to develop a disability for women could be associated with child birth or lower income. In order to understand the Nicaraguan case better, the researcher may tabulate having a disability by sex, age group, and poverty status.


545. The following table provides unstandardized and standardized indicators from the 2010 census of Mexico, separated by type of disability.
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