A Gender Audit of Statistics: Comparing the Position of Women and Men in Scotland

Listen

Chapter Five Income and Wealth

This chapter examines the relationship between gender and income distribution in Scotland, including income from earnings, financial assets, and benefits. It also examines gender differences in use of financial services, and in attitudes to financial management.

5.1 Policy context

Policies which regulate or affect the distribution of income and wealth, including the distribution of income and wealth between women and men, are largely the responsibility of the UK government. These include equal pay legislation, the National Minimum Wage, benefits and tax credits, and policies which aim to tackle poverty and child poverty in particular. In certain of these policy areas the Scottish Executive has also set objectives and targets which complement those of the UK government. Policy objectives with respect to women's participation in the labour market are outlined in Chapter Four on the Labour Market, and these include reducing the gender pay gap. As noted also, the Scottish Executive has its own Close the Gap campaign to promote equal pay. The National Minimum Wage, introduced in 1999, has been particularly beneficial for those in low paid jobs, many of whom are women. The UK government is also committed to eradicating child poverty in a generation, to full employment, to providing security for those unable to work, and to targeting areas facing the greatest problems in terms of poverty and exclusion. Outlined below are the Scottish Executive's policy objectives which aim to tackle poverty and social exclusion.

The Scottish Executive launched its Closing the Opportunity Gap strategy in 2004, and its main aims are to:

  • Prevent individuals or families from falling into poverty;
  • Provide routes out of poverty for individuals and families;
  • Sustain individuals or families in a lifestyle free from poverty.

Specific objectives have been set to further these aims, and these include: increasing chances of sustained employment for vulnerable and disadvantaged groups; increasing confidence and skills; reducing the vulnerability of low income families to financial exclusion and multiple debts; the regeneration of the most disadvantaged neighbourhoods; improving the health of those in the most deprived communities; and to improve access to high quality services for the most disadvantaged groups and for individuals in rural communities.

With respect to child poverty the Scottish Executive complements UK government measures such as training programmes aimed at getting unemployed people into work and tax credits with parallel strategies such as the development of childcare provision and Sure Start projects, and with its own economic development strategies. Among the major aims of these strategies is increased labour market participation of disadvantaged and vulnerable groups and improvement in their levels of income, while it is recognised that some groups will require support through social benefits.

5.2 Incomes of women and men

Key points

  • In 2005, women full-time workers in Scotland earned 88% of male full-time workers average hourly pay. This has increased from 72% in 1977. Since 1997 women's average earnings have increased from 79% to 88% of men's, an increase of women's earnings in relation to men's of 9 percentage points.
  • Looking at a comparison of weekly earnings of full-time workers, in 1970 women full-time workers earned on average 54% of male full-time workers' average earnings. By 2003 women's weekly earnings had increased to 77% of men's. Between 1998 and 2005 women's weekly earnings as a proportion of men's increased from 72% to 81%.
  • Women's earnings are significantly affected by the concentration of women in part-time jobs, while men working part-time are a small number of aytpical workers. Women part-timers' hourly rate compares favourably with that of male part-timers, with women earning 104% of men's hourly rate in 2005, an increase from 100% in 1997. However, a comparison of women part-timers' hourly pay (almost half of all women workers work part-time) with male full-timers' hourly pay (over 80% of men work full-time) indicates the disparity between women's and men's earning power. Women part-timers earned an hourly rate which was 63% of full-time men's hourly rate in 2005, an increase from 56% in 1997.
  • The gender earnings ratio varies by occupation. For example, in 2005 women full-time workers in professional occupations earned 86% of their male counterparts' earnings, while women process, plant and machine operatives earned 70% of men's earnings.
  • The gender earnings ratio also varies by industry. For example, in 2005 women full-time workers in education earned 91% of men's wages, while in manufacturing they earned 68% of men's average weekly earnings.
  • The gender earnings ratio is more equal in the public than in the private sector. In 2005 women's hourly pay in the public sector was 97% of men's hourly pay compatared to 80% in the private sector.
  • The gender earnings ratio was effectively the same for disabled men and women as for non-disabled men and women in 2005, with women in both categories earning just over 87% of the earnings of men in both categories.
  • On average women's total individual incomes from all sources - earnings, income from financial assets or from benefits - were 60% of men's total individual incomes in 2002/03-2004/05. This represented an increase of 9 percentage points from a level of 51% in 1996/97-1998/99.
  • Households in which men are the highest income earners have household income levels which are higher than those in which women are the highest income earners. In 2005, 51% of households with a male HIH had an income of over £20,000 compared to 22% of households with a female HIH.
  • In 2003/04 equal proportions of men and women of working age were in Households Below Average Income, at 18%. Similarly equal proportions of male and female pensioners were in Households Below Average Income, at 18%. While proportions of working age adults at this income level had remained fairly stable since 1996/97, in the case of both male and female pensioners there was a significant decrease in proportions at this income level, in particular for female pensioners.
  • Of those claiming key benefits in 2000, women made up the majority at 57%. In 2006, women continued to make up the majority of claimants of key benefits at 53%. In particular women make up the majority of those dependent on State Pensions and Pension Credits, making up around 64% of claimants of both benefits in 2005.
  • Of all women workers, full-time and part-time taken together, 44% were without pension provision in 2004/05 compared to 37% of full-time male workers. Of women part-time workers 60% had no pension provision.
  • Of those employees who were members of occupational pension schemes in 2004/05 women full-time workers were most likely to be members, with 59% being in occupational pension schemes, compared to 53% of male full-time workers, and 33% of women part-time workers.

5.3 Key sources of data and possible uses of data

5.3.1 Key sources of data

The official source for data on earnings is the Annual Survey of Hours and Earnings ( ASHE). This provides data on earnings from 1997. For data prior to 1997 the official source is the New Earnings Survey ( NES) which is the predecessor to the ASHE. As ASHE does not collect a lot of information other than earnings and some basic information about the individual, the Annual Population Survey ( APS) is used to compare earnings by other characteristics such as qualifications and age. It should be noted that the APS will provide different overall figures from ASHE. Data on individual incomes are drawn from the Women and Equality Unit reports on this topic, which combine data on incomes from earnings, benefits, pensions and other financial assets from a range of data sources. The future of the WEU publication on women's individual incomes is currently under review, though it is anticipated that data will continue to be available online, if not published in hard copy form. Data on household income is available from the Scottish Household Survey, and from Households Below Average Income. Data on benefits are drawn from statistics collected by the Department of Work and Pensions ( DWP), while data on pensions and savings are drawn from the Family Resources Survey. Data on financial management and use of credit are drawn from the Scottish Household Survey. Not all of these data are routinely published, and some of the tables included in this chapter were made available on request from the Scottish Executive.

5.3.2 Limitations of the data

Data taken from the ASHE are based on a survey of approximately 1% of all national insurance numbers. This allows for a reasonably robust estimate of earnings however as this is a sample survey there is still a degree of uncertainty around estimates. When using data with detailed breakdowns such as Local Authority or industry of employment care should be taken when interpreting results as difference may not be significant.

5.3.3 Mean versus Median

The preferred average measure for earnings is the median. This is due to the fact that the median is less affected by earnings at the extreme values (either very high or very low values) and this is important given the extremely skewed nature of earnings distributions. The median therefore provides the closest measure of what the average individual is likely to earn.

5.3.4. Measuring the Gender Pay Gap

The official measure of the gender pay gap in Scotland and the UK compares the full time median earnings excluding overtime of males and females. International comparisons of the gender pay gap use mean full time earnings rather than median. However this is due to historical convention rather than this being the best measure of the gender pay gap.

5.3.5 Possible uses of data

Earnings data are crucial in relation to efforts to close the gender pay gap, and bodies such as government departments, the enterprise network, and local authorities, might use these data in order to develop strategic approaches to tackling the pay gap at national and local levels. This should include addressing the gender pay gap within their own workforces as well as in the economy more widely. Disparities across Scotland, between sectors and between occupations, suggest the need for targeted strategies. For example, in certain areas it may be particularly urgent to tackle low pay. With respect to economic development strategies for Scotland in general, gender disaggregated data on earnings could be used to scrutinise the record of sectors and industries which are expected to make the major contribution to economic growth in future. Local authorities should use gender disaggregated data on earnings to address their own pay structures, as well as in informing local economic development strategies which might challenge low pay and occupational segregation. This might include support for gender specific projects. Evidence of the vulnerability of particular groups to poverty can inform regeneration strategies, and may require targeted strategies for specific groups e.g. lone parents who require childcare support to take up education, employment or training. For lone pensioners, there may be issues about benefits take up, fuel poverty, and access to shops and services.

5.4 Earnings and low pay

In Chapter Four the differences in men's and women's participation in the labour market were described, both in terms of industrial and occupational distribution, and in terms of working hours. These factors influence the levels of earnings of men and women and contribute to the persistence of the gender pay gap.

Table 5.1 Mean hourly earnings of full-time employees excluding overtime, (£), Scotland, 1977-2006

Year

Males

Females

Earnings ratio %

1977

1.77

1.27

72

1978

1.98

1.41

71

1979

2.25

1.55

69

1980

2.78

1.95

70

1981

3.21

2.31

72

1982

3.56

2.52

71

1983

n/a

n/a

n/a

1984

4.15

2.94

71

1985

4.38

3.14

72

1986

4.72

3.44

73

1987

5.05

3.65

72

1988

5.46

4.01

73

1989

5.83

4.49

77

1990

6.45

4.95

77

1991

6.96

5.46

78

1992

7.62

5.86

77

1993

7.91

6.31

78

1994

8.03

6.49

81

1995

8.39

6.78

81

1996

8.70

6.94

80

1997

9.34

7.39

79

1998

9.85

7.80

79

1999

10.29

8.36

81

2000

10.59

8.57

81

2001

11.18

9.26

83

2002

11.92

9.61

81

2003

12.15

9.99

82

2004 (excl.)

12.46

10.63

85

2004 (incl.)

12.28

10.57

86

2005

12.91

11.37

88

2006

13.63

11.77

86

Source: New Earnings Survey; Annual Survey of Hours and Earnings
Notes : Employees on adult rates whose pay for the survey pay-period was not affected by absence.

To improve coverage and hence make the survey more representative, supplementary information was collected from the 2004 ASHE survey onwards on businesses not registered for VAT and for people who changed or started new jobs between sample selection and the survey reference period. The 2004 and 2005 ASHE results are therefore discontinuous with the results for 2003 and previous years, for which no supplementary information was collected. However for 2004 two sets of results are given; the headline results that include supplementary information and results that exclude this information. These second set of results are given solely for comparison to earlier years. Direct comparisons can be made between 1999-2003 and 2004 (ex.) or between 2004 (inc.) - 2006. http://www.statistics.gov.uk/StatBase/Product.asp?vlnk=13101

Over time, however, the gender pay gap has been getting smaller, as Table 5.1 above shows. 6 In 1977 (two years after the Equal Pay Act had come into effect) women's average hourly earnings were 72% of men's average hourly earnings. By 2006 women's average hourly earnings had risen to 86% of men's average hourly earnings.

Because of the difference in the average working hours of men and women, it is also useful to compare average weekly earnings, since this provides a better indication of the levels of take home pay of men and women than a comparison of hourly rates. This indicates a greater gender pay gap with respect to weekly pay of full-time workers. Table 5.2 below, based on data from the New Earnings Survey, indicates that women's average weekly pay was 49% of men's average weekly pay in 1970, and that by 2002 women's average weekly pay had risen to 68% of men's average weekly pay. Table 5.2 also indicates that the gap was greater for non-manual workers than for manual workers until around 1990, since when it has been typically slightly greater for manual workers than non-manual workers. In 1970, women manual workers' average weekly earnings were 51% of their male counterparts' average earnings, whereas women non-manual workers' average weekly earnings were 49% of their male counterparts' average earnings. In 1990, women manual workers' average weekly earnings were 61% of male manual workers' average weekly earnings, compared to 61% for non-manual workers, while in 2002 women manual workers' average weekly earnings were 67% of male manual workers' average weekly earnings, compared to 68% of non-manual workers.

Table 5.2 Average gross weekly earnings of full-time employees, (£), Scotland, 1970; 1975; 1980; 1985-2003

Year

Males

Females

Women's earnings as % of men's

All

Manual

Non-manual

All

Manual

Non-manual

All earnings

Manual earnings

Non-manual earnings

1970

28.3

25.7

33.8

15.3

13.1

16.6

54

51

49

1975

60.3

56.7

67.1

35.9

32.1

37.8

60

57

56

1980

123.1

112.2

139.6

74.7

66.3

78.2

61

59

56

1985

189.7

164.2

224.0

119.1

99.4

125.6

63

61

56

1986

201.3

173.0

238.3

129.8

103.2

139.1

65

60

58

1987

214.6

179.7

256.4

139.9

111.7

149.0

65

62

58

1988

233.3

194.9

280.6

152.2

120.2

162.9

65

62

58

1989

251.2

209.9

300.8

169.6

129.8

181.8

68

62

60

1990

276.4

231.7

327.4

187.2

141.2

200.6

68

61

61

1991

299.5

251.1

349.4

206.5

151.3

220.5

69

60

63

1992

324.6

270.6

378.7

221.9

164.4

235.9

68

61

62

1993

333.0

269.7

392.5

237.4

173.7

253.2

71

64

65

1994

335.6

269.5

400.6

244.1

176.9

261.8

73

66

65

1995

350.7

284.5

413.2

254.2

186.0

272.7

73

65

66

1996

363.6

290.9

434.0

262.0

189.7

282.8

72

65

65

1997

378.0

303.3

449.8

272.4

193.9

293.9

72

64

65

1998

394.6

322.6

462.3

276.7

201.1

298.2

70

62

65

1999

411.8

326.4

478.4

306.8

215.7

325.5

75

66

68

2000

423.0

335.4

496.4

316.1

217.3

335.3

75

65

68

2001

448.5

349.1

528.9

342.3

233.1

363.6

76

67

69

2002

473.7

356.1

560.0

360.1

237.5

381.1

76

67

68

*2003

483.7

..

..

372.4

..

..

77

..

..

Source: New Earnings Survey
Notes: To April 1983 earnings relate to males age 21 and over and females age 18 and over ; from April 1984 earnings are for those on adult rates.
*There is no manual/non manual split available for 2003 because the data have been coded on Standard Occupational Classification ( SOC) 2000 which does not differentiate between manual and non-manual employees.
'..' data not available.
http://www.statistics.gov.uk/statbase/Product.asp?vlnk=5749

Changes to the methods of collecting and analysing data on earnings (as indicated in footnote 1 above) mean that comparisons between average wages of manual and non-manual workers are no longer available. With the introduction of the Annual Survey of Hours and Earnings it was also decided to show median earnings instead of average earnings. This is because averages can be distorted by very small numbers of very high (or very low) earners, whereas the median provides a better indication of the distribution of earnings within the majority of the working population. This means that the data from the NES and ASHE are not strictly comparable, and that the new ASHE data indicate a smaller gender pay gap than previous NES data. For example, NES figures for 1998 indicated that women's average weekly earnings were 65% of men's, whereas the median figure given in Table 5.3 below, derived from ASHE, indicate that women's median gross weekly earnings in 1998 were 72% of men's median gross weekly earnings. However, the trend for the gender pay gap to decrease is similar, and the rate of decrease over the period in which data overlap is relatively close. The ASHE data in Table 5.4 below indicate that by 2005 the gender pay gap had decreased still further, with women's median gross weekly earnings being 81% of men's median gross weekly earnings.

Table 5.3 Median gross weekly earnings, 1998-2005 (£)

1998

1999

2000

2001

2002

2003

2004 (excl. supp)

2004 ((incl. supp)

2005

2006

Scotland

313.8

329.0

338.4

355.1

371.7

381.3

394.6

390.9

409.6

346.9

Male

357.1

370.0

380.5

398.2

414.4

419.2

431.7

427.6

446.0

467.2

Female

256.9

274.6

280.9

296.7

311.0

326.0

345.5

342.6

361.0

376.2

Women's earnings as % of men's

71.9

74.2

73.8

74.5

75.0

77.8

80.0

80.1

80.9

81.0

Source: Annual Survey of Hours and Earnings
Note: for 'excl. supp' and 'incl. supp', see note to Table 5.1 above.
http://www.statistics.gov.uk/StatBase/Product.asp?vlnk=13101

The comparisons shown in Tables 5.2 and 5.3 and discussed above are for earnings of full-time workers. On the one hand while comparisons of weekly wages provide a better indication of overall income levels of men and women than comparisons of hourly pay, the comparison of the pay of full-time workers excludes a substantial proportion of women workers, with 41% of all women workers working part-time in 2005. Comparisons between the weekly and hourly pay of full-time and part-time employees indicates the less favourable position of part-time women workers compared to women and men in full-time employment.

Table 5.4 below sets out a series of comparisons, between weekly and hourly pay of full-time and part-time male and female workers. As has been noted by Dench et al (2002), making comparisons between women's and men's pay is complicated by the differences in patterns of working hours, and by the differences between men and women in their propensity to work part-time. Because of the differences in working hours, a comparison of hourly pay is often deemed the best measure of the gender pay gap, while comparisons between full-time earnings exclude part-time workers, of which women make up a much higher proportion than do men. Comparisons between male and female part-time workers, however, suffer from comparing a large group of female employees with a small and atypical group of male employees. Comparisons of women's part-time earnings with men's full-time earnings produces the largest gender pay gap, though is not strictly speaking comparing like with like. It is, however, useful in illustrating the overall disparities in men's and women's pay due to the relative concentration of women in part-time work. Given that making a comparison of men's and women's earnings is not straightforward, and given that the different comparisons illustrate different factors which contribute to the overall disparity in women's and men's earnings, these different ways of making comparisons are all illustrated in Table 5.4.

When the weekly pay of full-time and part-time workers is combined women's average weekly pay compared to men's is lower than that for full-time workers alone, being in 2005 64.3% and 80.9% respectively. For both types of comparison the trend has been for women's average pay in comparison with men's average pay to increase, from 56.9% and 72.5% in 1997 respectively for full-time and part-timers combined and for full-timers alone. When the average weekly pay of part-time female and part-time male workers is compared it can be seen that women have higher rates of pay. In 2005, women part-timers earned 19.3% more than their male counterparts. As noted, however, male part-time workers are a small and atypical group, while women part-timers are a substantial group within the female workforce. As indicated by the hourly comparisons, discussed below, the hourly rates of male and female part-time workers are very similar, though female part-timers earn slightly more on average. The comparisons of part-time weekly earnings with full-time weekly earnings illustrates the disadvantage that part-timers face compared to full-timers. In 2005, male part-time workers' average weekly pay was 25.7% of male full-time workers' weekly pay; female part-time workers' average weekly pay was 37.9% of female full-time workers' weekly pay and 30.7% of male full-time workers' average weekly pay.

Looking at comparisons of hourly rates of pay, again the general trend has been for women's average pay to increase as a proportion of men's average pay. In 1997, women's average hourly pay was 72.7% of men's average hourly pay, and by 2005 this had increased to 80.1%. For full-time women workers their average hourly pay was 89.2% of men's average hourly pay in 2005, while for part-time women workers their average hourly was 104% of male part-time workers' average hourly pay, while in 1997 women part-timers had earned slightly less than their male counterparts in terms of hourly rates at 99.6%. Comparisons of hourly rates also indicate that average hourly earnings of male part-time workers were 60.2% of male full-time workers' hourly average earnings in 2005, and in the same year women part-time workers' average hourly rates were 70.2% of women full-time workers' average hourly earnings, and 62.7% of male full-time workers' hourly average earnings. In general, the propensity for women to work part-time is significantly different from that of men, and it has a major impact on their earnings.

Table 5.4 Weekly and hourly median earnings, full-time and part-time employees, 1997-2005, (£)

1997

1998

1999

2000

2001

2002

2003

2004

2005

Weekly pay

All males

328.1

340.1

351.4

362.0

378.8

391.0

399.5

403.3

417.6

All females

186.8

195.8

209.1

210.9

224.8

232.4

246.7

256.1

268.5

Women's pay as % of men's

56.9

57.6

59.5

58.3

59.3

59.4

61.8

63.5

64.3

Full-time males

340.8

357.1

370.0

380.5

398.2

412.5

422.2

427.3

447.8

Full-time females

247.0

256.9

274.6

280.9

296.7

310.9

324.4

341.6

362.1

Women's pay as % of men's

72.5

71.9

74.2

73.8

74.5

75.4

76.8

79.9

80.9

Part-time males

80.0

89.3

100.7

99.0

99.5

109.6

114.7

117.8

115.2

Part-time females

94.4

100.3

106.7

108.9

116.0

124.0

127.4

134.3

137.4

Women's pay as % of men's

118.0

112.3

106.0

110.0

116.6

113.1

111.1

114.0

119.3

Part-time males as % of full-time males

23.5

25.0

27.2

26.0

25.0

26.6

27.2

27.6

25.7

Part-time females as % of full-time females

38.2

39.0

38.9

38.8

39.1

39.9

39.3

39.3

37.9

Part-time females as % of full-time males

27.7

28.1

28.8

28.6

29.1

30.1

30.2

31.4

30.7

Hourly pay

All males

7.87

8.27

8.54

8.79

9.26

9.66

9.83

9.98

10.35

All females

5.72

6.03

6.37

6.51

6.89

7.19

7.53

7.03

8.29

Women's pay as % of men's

72.7

72.9

74.6

74.1

74.4

74.4

76.6

70.4

80.1

Full-time males

8.06

8.5

8.82

9.14

9.50

9.93

10.19

10.41

10.79

Full-time females

6.51

6.83

7.27

7.41

7.84

8.35

8.65

9.06

9.63

Women's pay as % of men's

80.8

80.4

82.4

81.1

82.5

84.1

84.9

87

89.2

Part-time males

4.56

4.79

5.00

5.05

5.76

5.83

6.00

6.03

6.50

Part-time females

4.54

4.95

5.16

5.37

5.6

5.78

6.06

6.31

6.76

Women's pay as % of men's

99.6

103.3

103.2

106.3

97.2

99.1

101.0

104.6

104.0

Part-time males as % of full-time males

56.6

56.4

56.7

55.3

60.6

58.7

58.9

57.9

60.2

Part-time females as % of full-time females

69.7

72.5

71.0

72.5

71.4

69.2

70.1

69.6

70.2

Part-time females as % of full-time males

56.3

58.2

58.5

58.8

58.9

58.2

59.5

60.6

62.7

Source: Annual Survey of Hours and Earnings
http://www.statistics.gov.uk/StatBase/Product.asp?vlnk=13101

Another characteristic that distinguishes men and women in the labour force is their distribution within different categories of occupation. As commented above the general trend has been for the gender pay gap to decrease. Tables 5.5, 5.6 and 5.7 below illustrate this trend for different occupations between 1985 and 2005. Due to changes in the surveys, and in the occupational categories used, these are not strictly comparable. In general, however, the tables illustrate a significant reduction of the pay gap.

Table 5.5 Mean weekly pay (£) - all employee jobs by occupation - full-time employees, 1985

Male

Female

Earnings ratio %

Scotland

189.7

119.1

63

Professional and related supporting management and administration

255.9

..

..

Professional and related in education, welfare and health

228.3

155.1

68

Literary, artistic and sports

..

..

..

Professional and related in science, engineering, technology and similar fields

245.8

..

..

Managerial (excluding general management)

238.8

129.2

54

Clerical and related

150.6

110.3

73

Selling

170.6

90.7

53

Security and protective service

204.2

..

..

Catering, cleaning, hairdressing and other personal service

127.7

91.0

71

Farming, fishing and related

121.6

..

..

Materials processing (excluding metals)

157.8

105.4

67

Making and repairing (excluding metal and electrical)

162.4

99.5

61

Processing, making, repairing and related (metal and electrical)

190.1

..

..

Painting, repetitive assembling, product inspecting, packaging and related

162.5

112.8

69

Construction, mining and related not identified elsewhere

164.5

..

..

Transport operating, materials moving and storing and related

158.8

..

..

Miscellaneous

156.3

..

..

Source: New Earnings Survey
Notes: Employees on adult rates whose pay for the survey pay-period was not affected by absence (18 and over for females, 21 and over for males). '..' data not available
http://www.statistics.gov.uk/statbase/Product.asp?vlnk=5749

Table 5.6 Mean weekly pay (£) - for all employee jobs by occupation - full-time employees, 1995

Male

Female

Earnings ratio %

Scotland

350.7

254.1

73

Managers and Administrators

488.6

331.4

68

Professional occupations

498.0

412.0

83

Associate Professional and Technical occupations

403.9

311.8

77

Clerical and Secretarial

256.5

212.8

83

Craft and Related Occupations

312.9

184.1

59

Personal and Protective Service Occupations

291.4

191.8

66

Sales Occupations

285.1

178.8

63

Plant and Machine Operatives

290.5

206.8

71

Other Occupations

238.3

164.5

69

Source: New Earnings Survey
Notes: Employees on adult rates whose pay for the survey pay-period was not affected by absence.
http://www.statistics.gov.uk/statbase/Product.asp?vlnk=5749

Between 1985 and 2005 the mean weekly pay of women full-time employees increased from 63% of male full-time employees' mean weekly pay to 81 %, an increase of 18 percentage points. Though the occupational categories are not strictly comparable over time, the rate of increase of women's average wages compared to men's in the higher earning category of Professional Occupations has been in line with the general trend, while the rate of increase in Managerial Occupations has been greater than this at around 24 percentage points between 1985 and 2005. The gender pay gap has also narrowed within Secretarial and Administrative Occupations and in Sales Occupations, though these remain female dominated and relatively low paid.

Table 5.7 below illustrates the gender pay gap between occupations in 2005. For all full-time employees in Scotland women's mean weekly pay was 81% of men's. Between occupations, full-time women workers' mean weekly pay varied from 70% of men's in the category of Process, Plant and Machine Operatives to 89% in Sales and Customer Service Occupations.

Table 5.7 Mean weekly pay (£) - for all employee jobs by occupation - full-time employees, 2005

Male

Female

Earnings ratio %

Scotland

522.9

423.8

81

Managers and senior officials

752.6

593.2

79

Professional occupations

750.0

646.7

86

Associate professional and technical occupations

548.7

479.1

87

Administrative and secretarial occupations

384.3

324.3

84

Skilled trades occupations

416.6

306.7

74

Personal service occupations

337.4

293.7

87

Sales and customer service occupations

295.9

264.1

89

Process, plant and machine operatives

405.4

283.5

70

Elementary occupations

323.0

249.0

77

Source: Annual Survey of Hours and Earnings
Notes: Employees on adult rates whose pay for the survey pay-period was not affected by absence.
http://www.statistics.gov.uk/StatBase/Product.asp?vlnk=13101

Tables 5.8 and 5.9 below provide comparisons between the mean weekly pay of male and female part-time workers by occupation. In 1997 there were a number of occupational categories for which no information was available for male part-time workers, which suggests that there were few or no male part-timers in these occupations. That there are comparisons available across all categories for 2005 is in line with the increase in part-time work by men. In 1997, the mean weekly pay of women part-time workers ranged from 106.9% of male part-time workers weekly pay in Personal and Protective Service Occupations to 71.5% in Other occupations. In 2005, the general trend was for women part-timers to earn more on average than male part-timers across a range of occupations, with the exception of Process, Plant and Machine Operatives, Elementary Occupations and Skilled Trades Occupations. The latter category showed the greatest disparity with women part-timers' mean weekly pay being on average 45% of male part-timers' mean weekly pay.

Table 5.8 Mean weekly pay (£) - for all employee jobs by occupation - part-time employees, 1997

Male

Female

Earnings ratio %

Scotland

110.9

109.4

99

Managers and Administrators

..

147.1

..

Professional occupations

..

199.8

..

Associate Professional and Technical occupations

..

177.9

..

Clerical and Secretarial

115.0

120.6

105

Craft and Related Occupations

..

103.0

..

Personal and Protective Service Occupations

88.6

94.7

107

Sales Occupations

76.6

79.7

104

Plant and Machine Operatives

123.0

113.4

92

Other Occupations

106.3

76.0

72

Source: Annual Survey of Hours and Earnings
Notes: Employees on adult rates whose pay for the survey pay-period was not affected by absence.
'..' data not available
http://www.statistics.gov.uk/StatBase/Product.asp?vlnk=13101

Table 5.9 Mean weekly pay (£) - for all employee jobs by occupation - part-time employees, 2005

Male

Female

Earnings ratio %

Scotland

163.9

165.5

101

Managers and senior officials

270.1

305.0

113

Professional occupations

239.7

314.7

131

Associate professional and technical occupations

213.2

244.8

115

Administrative and secretarial occupations

154.1

162.1

105

Skilled trades occupations

285.8

128.6

45

Personal service occupations

138.0

146.8

106

Sales and customer service occupations

105.8

113.4

107

Process, plant and machine operatives

177.2

151.8

86

Elementary occupations

125.5

103.8

83

Source: Annual Survey of Hours and Earnings
Notes: Employees on adult rates whose pay for the survey pay-period was not affected by absence.
http://www.statistics.gov.uk/StatBase/Product.asp?vlnk=13101

Table 5.10 Gross median hourly earnings (£) by occupational group, excl. overtime, Scotland 2005

Occupational group

All Employees

Male

Female

Earnings ratio %

Professional

17.14

17.79

16.70

94

Managers & Senior Officials

15.49

16.86

13.45

80

Assoc Professional & Technical

12.54

12.70

12.37

97

Skilled Trades

8.95

9.14

6.03

66

Administrative & Secretarial

8.05

8.67

7.95

92

Process, Plant & Machine Ops.

7.71

8.00

6.23

78

Personal Service

7.12

7.69

7.04

92

Elementary

5.87

6.57

5.50

84

Sales & Customer Service

5.66

6.00

5.57

93

All employees

9.07

10.07

8.26

82

Source: Annual Survey of Hours and Earnings. C Young (2006) Low Pay in Scotland.
http://www.slpu.org.uk/

Comparison of median hourly earnings by occupational group for 2005, as shown in Table 5.10 above, show that on average women's hourly earnings were 82% of men's. This ranged from women workers in the Associated Professional and Technical category earning on average 97% of men's hourly earnings, to women workers in Skilled Trades earning on average 66% of men's hourly earnings.The relationship of women's to men's earnings varies by industry as well as by occupation, as Tables 5.11, 5.12 and 5.13 below indicate, though due to changes in industrial classification these figures are not strictly comparable over time 7.

Table 5.11 Mean weekly pay (£), - for all employee jobs by industry - full-time employees, 1985

Males

Females

Earnings ratio %

Manual

Non-Manual

Manual

Non-Manual

Manual

Non-Manual

All Industries (1980 SIC divisions 0-9)

164.2

224.0

99.4

125.6

61

56

All index of production industries (1980 SIC divisions 1-4)

183.8

252.4

107.4

125.2

58

50

All manufacturing industries (1980 SIC divisions 2-4)

176.3

236.0

107.4

120.5

61

51

All non-manufacturing industries (1980 SIC divisions 0,1,5-9)

157.2

220.9

92.2

126.1

59

57

Agriculture, forestry and fishing (1980 SIC division 0)

121.9

..

..

..

..

..

Cole and Coke (1980 SIC classes 11-12)

173.1

..

..

..

..

..

Other energy and water supply ((1980 SIC classes 15-17)

194.1

..

..

..

..

..

Manufacturing (1980 SIC divisions 2-4)

176.3

236.0

107.4

120.5

61

51

Construction (1980 SIC division 5)

162.5

226.9

..

..

..

..

Wholesale distribution and commission agents (1980 SIC classes 61-63)

145.7

207.0

..

103.8

..

50

Retail distribution and repair of consumer goods and vehicles (1980 SIC classes 64,65,67)

123.3

162.4

..

96.0

..

59

Hotels and catering (1980 SIC class 66)

..

..

..

..

..

..

Transport and communication (1980 SIC division 7)

171.2

227.2

..

124.9

..

55

Banking, finance, insurance, business services and leasing (1980 SIC division 8)

..

229.5

..

115.7

..

50

Public administration, national defence and compulsory social security (1980 SIC class 91)

134.6

204.1

..

120.9

..

59

Professional and scientific services (1980 SIC classes 93-95)

139.7

225.2

87.9

145.9

63

65

Miscellaneous services (1980 SIC classes 92,96-99)

131.6

203.5

91.5

133.8

70

66

Source: New Earnings Survey
Notes: Employees on adult rates whose pay for the survey pay-period was not affected by absence (18 and over for females, 21 and over for males). '..' data not available.
http://www.statistics.gov.uk/statbase/Product.asp?vlnk=5749

In 1985 full-time women workers' mean weekly pay was on average between 56% (non-manual) and 61% (manual) of full-time male workers' weekly pay for all industries, with the gender pay gap being narrowest in Professional and Scientific Services and Miscellaneous Services, and greatest in Wholesale Distribution and Commission Agents and Banking, Finance, Insurance and Business Services. By 1995, as indicated in Table 5.12 below the mean weekly pay of full-time women workers had increased on average to around 66% (65% for manual and 66% for non-manual) of male full-time workers mean weekly pay across all industries. The gender pay gap was narrowest in Education and greatest in non-manual jobs in Manufacturing.

Table 5.12 Mean weekly pay (£) - for all employee jobs by industry - full-time employees, 1995

Males

Females

Earnings ratio %

Manual

Non-Manual

Manual

Non-Manual

Manual

Non-Manual

All industries and services

284.5

413.2

186.0

272.6

65

66

All index of production industries

319.0

467.3

199.8

264.5

63

57

All manufacturing

314.0

438.8

199.5

250.4

64

57

All service industries

258.6

396.1

174.8

274.5

68

69

Agriculture, hunting and forestry

215.0

..

..

..

..

..

Fishing

..

..

..

..

..

..

Mining and quarrying

..

..

..

..

..

..

Manufacturing

314.0

438.8

199.5

250.4

64

57

Electricity, gas and water supply

360.8

..

..

..

..

..

Construction

299.7

441.8

..

..

..

..

Wholesale and retail trade

247.2

315.3

169.1

204.1

68

65

Hotels and restaurants

175.5

..

141.3

..

81

..

Transport, storage and communication

280.4

408.6

..

..

..

..

Financial intermediation

..

414.4

..

255.8

..

62

Real estate, renting and business activities

279.1

421.4

..

250.9

..

60

Public administration and defence; compulsory social security

262.2

395.6

..

258.2

..

65

Education

250.9

444.6

..

365.0

..

82

Health and social work

226.8

430.9

182.9

296.1

81

69

Other community, social and personal service activities

258.2

..

..

243.2

..

..

Private households with employed persons

..

..

..

..

..

..

Extra-territorial organisations and bodies

..

..

..

..

..

..

Source: New Earnings Survey
'..' data not available
http://www.statistics.gov.uk/statbase/Product.asp?vlnk=5749

By 2005, as Table 5.13 below indicates, the mean weekly pay of full-time women workers had again increased, reaching 81% of male full-time workers mean weekly pay across all industries and services. The gender pay gap continued to be narrowest in Education and was greatest in Financial Intermediation, Manufacturing and Hotels and Restaurants.

Table 5.13 Mean weekly pay (£) - for all employee jobs by industry - full-time employees, 2005

Males

Females

Earnings ratio %

All industries and services

522.9

424.0

81

All index of production industries

532.9

375.7

71

All manufacturing

517.8

354.2

68

All service industries

523.8

428.5

82

Agriculture, hunting and forestry

384.4

316.4

82

Fishing

448.6

..

..

Mining and quarrying

710.7

496.5

70

Manufacturing

517.8

354.2

68

Electricity, gas and water supply

622.4

461.7

74

Construction

514.8

411.2

80

Wholesale and retail trade

438.9

301.7

69

Hotels and restaurants

297.7

262.4

88

Transport, storage and communication

484.9

398.1

82

Financial intermediation

641.7

438.2

68

Real estate, renting and business activities

585.6

426.9

73

Public administration and defence; compulsory social security

554.7

441.8

80

Education

522.7

476.4

91

Health and social work

652.8

459.9

71

Other community, social and personal service activities

432.8

384.4

89

Private households with employed persons

..

..

..

Extra-territorial organisations and bodies

..

..

..

Source: Annual Survey of Hours and Earnings
'..' data not available.
http://www.statistics.gov.uk/StatBase/Product.asp?vlnk=13101

Comparisons of part-time earnings by industry for 1995 and 2005, as shown in Table 5.14 below indicate the trend for women part-time workers' weekly earnings to be greater than male part-time workers' weekly earnings, having risen from 98% for all industries and services in 1995 to 101% in 2005. There is, however, a very wide variation in the earnings ratio by industry, from women part-time workers earning on average 141% of male part-time workers' mean weekly pay in the category Public Administration and Defence and Compulsory Social Security to 50% in Manufacturing. Part of the explanation for these variations lies in the prevalence of part-time work in different sectors and the importance it might have structurally for particular industries, as well as in the fact that part-time work is available at different occupational levels in different industries, and that there are different patterns in the typical distribution of part-time hours in different industries. Furthermore, there are in general much smaller numbers of male than female part-time workers, and even within a particular industry they may be working in different occupations.

Table 5.14 Mean weekly pay (£) - for all employee jobs by industry - part-time employees, 1995, 2005

1995

2005

Males

Females

Earnings ratio %

Males

Females

Earnings ratio %

All industries and services

111.0

109.2

98

163.9

165.6

101

All index of production industries

..

103.8

..

339.2

169.7

50

All manufacturing

..

98.9

..

316.6

159.5

50

All service industries

105.6

109.8

104

152.5

165.7

109

Agriculture, hunting and forestry

..

74.4

..

..

..

..

Fishing

..

..

..

...

..

..

Mining and quarrying

..

..

..

..

..

..

Manufacturing

..

98.9

..

316.6

159.5

50

Electricity, gas and water supply

..

176.2

..

122.3

211.7

173

Construction

..

101.2

..

306.7

139.0

45

Wholesale and retail trade

88.9

84.5

95

122.8

121.1

99

Hotels and restaurants

63.8

57.2

90

98.7

91.6

93

Transport, storage and communication

151.2

123.8

82

273.3

199.8

73

Financial intermediation

..

136.7

..

190.5

239.5

126

Real estate, renting and business activities

93.4

92.6

99

137.0

158.2

116

Public administration and defence; compulsory social security

..

116.5

..

132.7

186.7

141

Education

140.9

110.3

78

157.5

163.9

104

Health and social work

126.3

136.6

108

205.4

201.7

98

Other community, social and personal service activities

70.6

91.3

129

137.2

127.9

93

Private households with employed persons

..

..

..

..

136.9

..

Extra-territorial organisations and bodies

..

..

..

..

..

..

Source: New Earnings Survey (1995) and Annual Survey of Hours and Earnings (2005)
Notes: Employees on adult rates whose pay for the survey pay-period was not affected by absence.
Industries are defined using Standard Industrial Classification codes 1992 for 1995 and codes 2003 for 2005.
'..' data not available.
http://www.statistics.gov.uk/statbase/Product.asp?vlnk=5749; http://www.statistics.gov.uk/StatBase/Product.asp?vlnk=13101

Table 5.15 Hourly median earnings (£) excluding over-time, private and public sector, Scotland, 2005

Sector

Not classified

Public Sector

Private Sector

Private as % of public

All employees

11.24

12.11

8.99

74

Male employees

13.01

12.27

9.71

79

Female employees

9.86

11.92

7.75

65

Female as % of male

76

97

80

Source: Annual Survey of Hours and Earnings, Office for National Statistics
Notes: Employees on adult rates whose pay for the survey pay-period was not affected by absence.

Not only does the ratio of women's to men's average earnings vary by occupation and industry, it varies according to whether women work in the public or the private sector. Table 5.15 above indicates that in 2005 the gender pay gap was narrowest in the public sector, where women's hourly median earnings were 97% of men's hourly median earnings compared to 80% in the private sector. The ratio of private to public sector earnings was more favourable for men, where male private sector employees earned 79% of the hourly median earnings of male public sector employees, while women private sector employees earned 65% of the median hourly earnings of women public sector employees.

The relationship between levels of qualifications and the gender pay gap is illustrated in Table 5.16 below. While, as might be expected, the highest median hourly earnings of full-time employees in 2005 were achieved by both women and men with the highest levels of qualifications, i.e. those with Degrees or equivalent or with other Higher Education qualifications, the gender pay gap was somewhat greater at these levels of qualification than at lower levels of qualification. Women with Degrees or equivalent earned 82% of men's median hourly earnings, and those with Higher Education earned 83%. However, those with GCSE grades A-C or equivalent earned 94% of men's hourly median earnings, and those with GCSE below grade C or equivalent earned 94% of men's hourly median earnings.

Table 5.16 Median hourly earnings (£) of full-time employees, by qualifications, Scotland, 2005

Highest qualification achieved

Women

Men

Earnings ratio %

Degree or equivalent

13.06

15.88

82

Higher education

9.61

11.54

83

GCE 'A' level or equivalent

7.74

9.37

83

GCSE grades A-C or equivalent

7.20

7.67

94

GCSE below grade C or equivalent

6.46

6.90

94

Other qualifications

6.84

7.49

91

No qualification

5.90

7.14

83

All

8.57

9.75

88

Source: Annual Population Survey 2005 (Jan to Dec)

There are also variations in the gender earnings ratio according to age, as Table 5.17 below indicates. While overall in 2005 women's median gross hourly earnings were 91% of men's, this ranged from 86% for the 35-49 age group to 107% for the 16-24 age group.

Table 5.17 Median gross hourly earnings (£) excluding overtime of full-time employees, by age, 2005

Age

Women

Men

Earnings ratio %

16-24

6.70

6.28

107

25-34

10.25

10.16

101

35-49

10.40

12.11

86

50-59/64

9.84

10.99

90

60/65+

8.13

8.56

95

All ages

9.58

10.54

91

Source: Annual Survey of Hours and Earnings, Office for National Statistics
Notes: Employees on adult rates whose pay for the survey pay-period was not affected by absence.

These variations by age are likely to be linked to changes in women's patterns of participation in the labour market due to childbearing and childrearing, which is most likely to affect women in their thirties (as can be seen in Chapter One on Population, Households and Families), and it is notable that the gap decreases again for older age groups. For younger age groups there appears to be gender parity in pay at hourly rates, though the distribution of working hours is likely to affect the overall levels of earnings gained by women and men in these age groups.

The presence of dependent children has an impact on women's participation in the labour market, as illustrated in Chapter Four. Similarly, the presence of dependent children has an impact on earnings, as Table 5.18 below illustrates. Of full-time workers in 2005, women without dependent children earned more in relation to male full-time workers without dependent children at 91% of male median hourly earnings, while women with dependent children earned 81% of median hourly earnings of men with dependent children. By contrast women part-time workers with dependent children earned more in relation to male part-timers with dependent children, 103% of male median hourly earnings, while women part-timers without dependent children earned 98% of the median hourly earnings of male part-timers without dependent children.

Table 5.18 Median hourly earnings (£) of employees with and without dependent children, 2005

Males full-time

Females full-time

Earnings ratio - full-time %

Males part-time

Females part-time

Earnings ratio - part-time %

With dependent children

11.35

9.23

81

7.00

7.20

103

No dependent children

9.77

8.84

91

6.25

6.10

98

Source: Annual Population Survey 2005 (Jan to Dec)
Notes: Dependent children are those aged 0 to 15 and those aged 16 to 18 who are in full-time education.

There seems to be little impact on earnings from disability status. As Table 5.19 below illustrates the gender earnings ratio for disabled and non-disabled people is virtually the same. In 2005 full-time disabled women workers earned 88% of the median hourly earnings of full-time disabled male workers, while full-time non-disabled women workers earned 88% of the median hourly earnings of full-time non-disabled male workers, though it should be borne in mind that on average disabled people earn about 90% of the earnings of non-disabled people (Scottish Executive, 2004).

Table 5.19 Median hourly earnings of full-time employees, by disability status, Scotland, 2005

Disability Status

Women

Men

Earnings ratio %

Disabled

7.89

9.00

88

Not Disabled

8.65

9.89

87

All

8.57

9.75

88

Source: Annual Population Survey 2005 (Jan to Dec)

Notes: The disabled group includes those 'Both DDA (current disability) and work-limiting disabled', ' DDA disabled (current disability) only' and 'Work-limiting disabled only'. DDA disabled (current disability) includes those who have a long-term disability which substantially limits their day-to-day activities. Work-limiting disabled includes those who have a long-term disability which affects the kind or amount of work they might do.

The data on earnings discussed so far in this chapter have been for Scotland as a whole. However, just as there are variations in earnings by industry and occupation, there are variations by regions within Scotland depending on the nature the local economy, which affects the level and type of employment opportunities available to women and men. Table 5.20 below indicates the variation in earnings by local authority area in 2005, and also provides a comparison with the UK average.

Table 5.20 Employees' gross weekly earnings, UK, Scotland, and local authority area, 2005

Region

All employees (£)

Male employees (£)

Female employees (£)

Female as % of male

Median

Mean

Median

Mean

Median

Mean

Median

Mean

Aberdeen City

380.4

464.1

513.8

617.4

279.3

328.4

54

53

Aberdeenshire

305.0

367.4

405.8

499.0

200.0

255.1

49

51

Angus

293.0

332.4

357.8

403.9

231.5

277.4

65

69

Argyll & Bute

310.0

370.3

443.3

465.9

267.6

296.4

60

64

Borders

287.8

318.4

331.4

381.9

230.1

268.7

69

70

Clackmannanshire

291.6

325.4

372.2

462.7

243.2

270.0

65

58

Dumfries & Galloway

295.8

341.0

356.9

409.1

218.3

281.5

61

69

Dundee City

336.4

400.8

407.0

485.9

285.3

325.2

70

67

East Ayrshire

325.6

390.2

394.3

433.4

238.3

356.7

60

82

East Dunbartonshire

297.5

342.0

371.2

400.0

249.9

310.1

67

78

East Lothian

336.4

361.7

379.8

424.4

282.3

302.9

74

71

East Renfrewshire

289.4

338.6

..

376.2

253.9

308.6

..

82

Edinburgh

374.7

447.4

458.9

527.7

310.0

372.8

68

71

Falkirk

313.5

376.6

427.3

439.7

264.9

324.3

62

74

Fife

295.8

361.5

409.3

466.4

233.7

278.0

57

60

Glasgow

339.5

410.8

411.5

495.7

293.6

340.1

71

69

Highland

298.9

357.2

380.4

453.6

233.1

278.6

61

61

Inverclyde

316.0

351.9

392.0

417.4

270.9

309.7

69

74

Midlothian

348.7

390.8

399.6

436.4

281.8

337.9

71

77

Moray

295.2

325.6

389.9

418.2

226.7

254.0

58

61

North Ayrshire

347.7

391.3

415.8

506.9

268.4

297.1

65

59

North Lanarkshire

325.8

387.4

385.6

450.2

261.2

324.8

68

72

Orkney Islands

309.1

351.1

..

360.0

..

344.5

..

96

Perth & Kinross

300.6

349.6

388.5

427.6

240.4

290.3

62

68

Renfrewshire

344.4

412.9

440.2

510.5

267.1

321.0

61

63

Shetland Islands

348.7

385.3

417.0

498.4

..

261.2

..

52

South Ayrshire

342.4

384.3

409.6

445.2

270.2

326.4

66

73

South Lanarkshire

342.4

391.5

435.4

495.9

262.9

298.9

60

60

Stirling

322.4

370.9

395.4

463.8

235.7

286.7

60

62

West Dunbartonshire

289.0

336.4

363.2

397.7

256.5

298.5

71

75

West Lothian

331.0

388.8

416.1

473.7

258.7

307.8

62

65

Western Isles

296.0

365.0

371.7

412.0

..

331.9

..

81

Scotland

330.9

393.5

414.4

482.0

268.3

317.6

65

66

United kingdom

349.6

423.2

440.1

525.5

267.8

319.9

61

61

Source: Annual Survey of Hours and Earnings. C Young (2006) Low Pay in Scotland.
'..' data not available.
http://www.slpu.org.uk/

It should be noted that the data for some Local Authorities will be based on relatively small sample sizes. This table also illustrates the difference between the median and the mean - the latter being greater because of inclusion of atypical high earners, though the disparity in earnings ratios calculated using the median and the mean are not great. In the commentary that follows the focus will be on the median comparisons, in line with current ONS practice in interpreting ASHE data. However, it should be noted that mean earnings are used to monitor the gender pay gap internationally (see Scottish Executive, 2006).

A comparison of gross weekly earnings for all male and female employees indicated that in 2005, women in Scotland earned 65% of men's gross weekly earnings on average, compared to 61% for the UK as a whole. The variation across local authority areas ranged from women in Aberdeenshire earning 49% of men's median gross weekly earnings to women in Glasgow earning 71% of men's median gross weekly earnings. The highest level of median gross weekly earnings for women occurred in Edinburgh, where women earned £310 per week, representing 68% of male median gross weekly earnings. The highest male median gross weekly earnings occurred in Aberdeen City, where men earned £513.80 per week, with women in Aberdeen City earning above the Scottish average, £279.30 per week compared to £268.30 per week. This represented, however, only 54% of men's median gross weekly earnings. Such variations are influenced by the nature of the local economy, and it seems likely, for example, that the gender pay gap in Aberdeen and Aberdeenshire is primarily a result of high male average earnings in the oil industry, though further research would be necessary to establish the exact factors at work.

Table 5.20 above has indicated both the variation in levels of women's and men's median earnings across Scotland, and differences in the gender earnings ratio at local authority level, and has indicated that the disparity between women's and men's earnings may be large even where women earn above the average. Low pay, however, remains a significant problem for women workers in Scotland. Table 5.21 below indicates the prevalence of low pay in Scotland, as calculated by the Scottish Low Pay Unit ( SLPU). The low pay threshold ( LPT) used by the Scottish Low Pay Unit is calculated at the level of two-thirds of male median earnings. This is in contrast to the OECD definition of low pay, which is two thirds of all full time earnings, and it should be taken into account that these different measures give different figures for the proportion of low paid workers, with the SLPU measure suggesting higher levels. Using the SLPU threshold, over 350,000 workers, or 23% of the workforce in Scotland, were low paid in 2005. This represented 17% of all male workers in Scotland and 31% of all women workers in Scotland. Women were therefore almost twice as likely as men to be low paid. The table also indicates the extent of variation across Scotland. In about half of all local authorities in Scotland the numbers of men paid below the LPT are too small to register, while for the remaining areas the proportions of men paid below the LPT range from 9% in Aberdeen City to 32% in South Ayrshire. Substantial proportions of women were paid below the LPT in almost all local authority areas, ranging from 25% in Aberdeen City to 48% in Clackmannanshire.

Table 5.21 Counts and proportions of full-time employees earning less than LPT* per week UK, Scotland and local authority areas, 2005

Region

All employees (£)

Male (£)

Female (£)

Count

%

Count

%

Count

%

Aberdeen City

15,642

16

5,187

9

10,458

25

Aberdeenshire

9,758

24

..

..

6,288

39

Angus

5,313

25

..

..

2,610

29

Argyll & Bute

5,060

25

..

..

2,889

32

Borders

7,525

30

..

..

4,334

39

Clackmannanshire

3,120

31

..

..

2,420

48

Dumfries & Galloway

10,545

29

4,452

21

6,128

38

Dundee City

13,629

23

6,105

19

7,540

29

East Ayrshire

5,350

21

..

..

..

..

East Dunbartonshire

3,330

22

..

..

..

..

East Renfrewshire

3,113

28

..

..

..

..

Edinburgh

42,714

19

17,907

14

24,750

25

Falkirk

9,139

25

4,620

22

4,496

28

Fife

25,098

28

9,550

19

15,561

40

Glasgow

57,200

22

24,978

18

32,208

26

Highland

16,008

28

6,204

19

9,875

40

Inverclyde

5,206

27

..

..

3,480

35

Midlothian

5,082

23

..

..

..

..

Moray

6,696

28

..

..

4,820

48

North Ayrshire

5,967

22

..

..

3,652

33

North Lanarkshire

22,113

24

10,123

19

12,008

32

Perth & Kinross

14,781

32

4,830

23

7,596

42

Renfrewshire

10,608

20

3,960

13

6,666

30

South Ayrshire

8,738

26

4,640

23

4,102

29

South Lanarkshire

15,884

21

6,255

14

9,610

31

Stirling

7,028

25

..

..

4,081

37

West Dunbartonshire

5,282

28

..

..

..

..

West Lothian

12,220

24

5,859

19

6,140

31

Scotland

358,974

23

150,672

17

208,146

31

United kingdom

3,534,708

20

1,592,597

15

1,952,640

29

Source: Annual Survey of Hours and Earnings. C Young (2006) Low Pay in Scotland.
* Two-thirds of male median earnings, currently £285.71 per week
'..' data not available.
http://www.slpu.org.uk/

Table 5.22 below indicates the distribution of gross hourly earnings by gender and occupation. The occupational group with the highest earners in terms of hourly rates was Managers and Senior Officials, where 10% of all employees earned more than £30.98 an hour, followed by Professionals, of whom 10% earned more than £27.19 an hour. By contrast the lowest earning categories were Sales and Customer Services, where 10% of employees earned more than £8.23 an hour, and Elementary occupations, where 10% of employees earned more than £9.03 an hour. For all occupational categories the top 10% of male earners had higher rates of pay than the top 10% of female earners, while for most categories the bottom 10% of female earners had lower rates of pay than the bottom 10% of male earners, with the exception of Professionals, where the bottom 10% of women earned less than £11.23 an hour compared to £11.09 an hour for men. In the case of Sales and Customer Services and Elementary occupations the bottom 10% of men and the bottom 10% of women had the same hourly rates.

Table 5.22 Distribution of gross hourly earnings by occupational group, excl. overtime, 2005

Occupational group

All employees

Male

Female

10% earned less than (£)

10% earned more than (£)

10% earned less than (£)

10% earned more than (£)

10% earned less than (£)

10% earned more than (£)

Managers & Senior Officials

7.45

30.98

8.12

33.52

6.73

..

Professional

11.11

27.19

11.09

29.69

11.23

24.99

Assoc Professional & Technical

7.78

18.50

7.98

20.00

7.65

17.40

Administrative & Secretarial

5.82

12.34

5.92

15.22

5.80

11.84

Skilled Trades

5.52

13.92

5.88

13.99

4.85

..

Personal Service

5.20

10.14

5.46

..

5.18

9.85

Sales & Customer Service

4.85

8.23

4.85

..

4.85

8.55

Process, Plant & Machine Ops.

5.45

12.71

5.64

12.98

5.00

..

Elementary

4.85

9.03

4.85

9.71

4.85

7.81

All employees

5.25

19.65

5.55

22.07

5.10

17.45

Source: Annual Survey of Hours and Earnings. C Young (2006) Low Pay in Scotland.
'..' data not available.
http://www.slpu.org.uk/

5.5 individual and household incomes

There are different ways in which incomes and income distribution can be calculated. The above section has discussed one source of income in the form of earnings from paid employment. This section now examines evidence of gender differences based on income from all sources combined. There are various measures of income. The first part of this section examines income which is accrued to the man or woman in their own right, known as individual income. The second section examines household income which can be used as a proxy for living standards if it has been equivalised (adjusted) for the size and composition of the household. The key assumption in such analysis is that all individuals in the household benefit equally from the combined (equivalised) income of the household. Definitions of individual and household incomes used in the data analyses which are included in this section are provided in Appendix III.

5.5.1 Individual incomes

While earnings/pensions are a key element of individual incomes, overall income is an important measure of financial well-being. Analysis of data from a range of sources has been used to provide an indicator of women's and men's individual incomes (Women and Equality Unit, 2005). The measures used are Total, Net and Disposable income ( see Appendix III). Table 5.23 below shows the trend in median individual incomes over time. In 1996/97-1997/98 women's individual total income was on average 51% of men's individual total income. By 2002/03 - 2004/05 this had increased by 9% to 60%. Over the same period women's net individual income as a proportion of men's net individual income increased from 58% to 67%, while women's disposable individual income as a proportion of men's disposable individual income increased from 54% to 63%.

Table 5.23 Median individual incomes from 1996/97 to 2004/05 (£ per week 2004/05 prices)

Year

All men

All Women

Women's as % of men's

Total

Net

Dipos-able

Total

Net

Dispos-able

Total

Net

Dispos-able

1996/97 - 1998/99

266

219

184

135

128

99

51

58

54

1997/98 - 1999/2000

263

218

183

140

133

103

53

61

56

1998/99 - 2000/01

263

220

183

143

136

106

54

62

58

1999/2000 - 2001/02

268

226

188

151

143

112

56

63

60

2000/01 - 2002/03

275

232

192

158

149

116

58

64

60

2001/02 - 2003/04

282

237

197

168

157

122

60

66

62

2002/03 - 2004/05

287

239

199

172

161

125

60

67

63

Source: Women and Equality Unit (2005) Individual Incomes of men and women 1996/97 to 2004/05.
Note: Years are combined due to small numbers.
http://www.womenandequalityunit.gov.uk/indiv_incomes/report2005.pdf

As indicated above the distribution of individual incomes varies with gender, with a significant gender gap, greater than that for earnings, though the individual income gender gap, like the earnings gender gap, is narrowing over time. The distribution of individual incomes also differ according to family type. Tables 5.24 and 5.25 below indicate differences between men's and women's individual incomes according to family type, including single men and women and those living in couple households, and those with and without dependent children. Comparisons are not available, however, for female and male lone parents, due to the small numbers of the latter. Table 5.24 indicates that between 1996/97-1998/99 to 2002/03-2004/05 within all family types, with the exception of single adults without children and single pensioners, women's median total individual income increased as a proportion of men's median total individual income, from 51% to 60% overall for all family types. In the case of single men and women without children, where income levels were closest there was a slight decline in women's median total individual incomes as a proportion of men's, from 97% to 94%, while for single pensioners the proportion remained the same at 94%. For those types of family where the gender gap in individual incomes was the greatest there was a decrease in the gap, though it still remained significant. For pensioner couples, where women's median total individual incomes were on average 37% of men's in 1996/97-1998/99 there was an increase to 43% by 2002/03-2004/05, while for couples with children, where women's median total individual incomes were on average 36% of men's in 1996/97-1998/99 there was an increase to 46% by 2002/03-2004/05. It should be noted that in couple households with children it is more likely that women will either be working part-time or not in work due to childcare responsibilities, and that this is likely to be a key factor in the gender income gap within this type of household. In this period the greatest increase in women's individual incomes occurred for lone parents and for women in couples with children. This is likely to have been at least in part a result of benefits and tax credits targeted at families with children. The category of women with the highest level of individual incomes were those in couples without children, who had incomes of £183 a week in 1996/97-1998/99 and of £217 a week in 2002/03-2004/05, while the category which had the lowest level of individual incomes were women in pensioner couples who had incomes of £66 per week and £89 per week for the same years respectively.

Table 5.24 Median Total Individual Income by sex and family type, 1996/97-1998/99; 2002/03-2004/05

£ per week (2004/05 prices)

Single without Children

Single Pension-er

Single with Children

Couple without Children

Pension-er couple

Couple with Children

All

1996/97 - 1998/99

Women

161

124

142

183

66

139

135

Men

165

132

-

350

177

382

266

Women's as % of men's

97

94

n/a

52

37

36

51

2002/03-2004/05

Women

184

159

213

217

89

200

172

Men

196

169

-

376

208

431

287

Women's as % of men's

94

94

n/a

58

43

46

60

% change women's incomes 1996/7-98/99 to 2002/03-04/05

14

28

50

19

35

44

27

Source: Women and Equality Unit (2005) Individual Incomes of men and women 1996/97 to 2004/05
http://www.womenandequalityunit.gov.uk/indiv_incomes/report2005.pdf

Table 5.25 Median Disposable Individual Income by sex and family type, 1996/97-1998/99; 2002/03-2004/05

£ per week (2004/05 prices)

Single without Children

Single Pension-er

Single with Children

Couple without Children

Pension-er couple

Couple with Children

All

1996/97 - 1998/99

Women

111

102

130

122

51

82

99

Men

119

106

-

233

156

245

184

% of male income

93

96

n/a

52

33

33

54

2002/03 - 2004/05

Women

126

131

165

145

70

125

125

Men

133

142

-

243

179

283

199

% of male income

95

92

n/a

60

39

44

63

% change women's incomes 1996/97-98/99 to 2002/03-04/05

13

28

27

19

37

52

26

Source: Women and Equality Unit (2005) Individual Incomes of men and women 1996/97 to 2004/05
http://www.womenandequalityunit.gov.uk/indiv_incomes/report2005.pdf

Table 5.25 above shows median disposable individual incomes across family types for the same period, from 1996/97-1998/99 to 2002/03-2004/05. In this case women's median disposable individual income as a proportion of men's rose in all family types, with the exception of single pensioners. The family type in which there was the greatest increase in the level of women's median disposable individual incomes was couples with children. While there was also an increase in women's median disposable incomes relative to men's in this type of family, they remained less than half that of men's on average.

The distribution of individual incomes is also subject to regional variation. As Table 5.26 below indicates, women's incomes are more concentrated towards the lower income quintiles 8 compared to the distribution of incomes for all adults. In 1996/97-1998/99 women's individual incomes in Scotland were less likely to be in the highest quintile compared to women's individual incomes for GB as a whole, 8% compared to 10%. By 2002/03-2004/05, however, this gap had declined slightly with 10% of women's individual incomes in Scotland in the top quintile compared to 11% for GB as a whole.

Table 5.26 Percentage distribution of Total Individual Income, 1996/97-98/99 and 2002/03-04/05, Scotland and Great Britain

Bottom Quintile

Second Quintile

Third Quintile

Fourth Quintile

Top Quintile

Percentage

1996/97 - 1998/99

All Women Scotland

27

26

24

15

8

All Women GB

28

25

21

15

10

All Adults GB

20

20

20

20

20

2002/03 - 2004/05

All Women Scotland

25

26

23

16

10

All Women GB

27

25

21

16

11

All Adults GB

20

20

20

20

20

Source: Women and Equality Unit (2005) Individual Incomes of men and women 1996/97 to 2004/05
http://www.womenandequalityunit.gov.uk/indiv_incomes/report2005.pdf

5.5.2 Household incomes

Just as there are gender differences in the distribution of individual incomes, household incomes vary according to the sex of the adult with the highest income in the household (the Highest Income Householder, or HIH). Analysis of Scottish Household Survey data for 2001/02 and 2005, as shown in Table 5.27 below, indicate the differential distribution of net household income depending on whether the person with the highest income was a man or a woman. This indicates that in 2001/02, where men in households had the highest income the household was much more likely to be at the upper end of income distribution than households where women in households had the highest income. In 2001/02 more than twice as many households with a male HIH had an income of over £20,000 a year than households with a female HIH, 43% compared to 17%. There were correspondingly more households with a female HIH in the lowest income category of £6,000 or less than households with a male HIH, 15% compared to 7%. By 2005, while more households had moved into higher income categories, the overall pattern was similar, with households with a male HIH being more than twice as likely to be in the highest income category, 51% compared to 22%, and households with a female HIH being more almost twice as likely to be in the lowest income category, 9% compared to 5%.

Table 5.27 Annual net household income by sex of HiH, 2001/02 and 2005 (£) (percentages)

Annual Net Income (£)

2001/02

2005

Male HiH

Female HiH

Male HiH

Female HiH

0-6,000

7

15

5

9

6,000-10,000

15

32

12

26

10,000-15,000

19

25

17

28

15,001-20,000

17

12

15

14

Over 20,000

43

17

51

22

Base

18,551

11,046

8,803

6,022

Source: Scottish Household Survey

The tables above on individual incomes and on households according to the sex of the adult with the highest income have indicated that in general men tend to have access to higher incomes than do women. Another way of measuring gender difference in access to incomes is through examination of the position of adults in households below average income ( HBAI). More specifically, it is defined as those individuals living in households whose equivalised income is below 60% of GB median income in the same year. This measure assumes that all individuals in the household benefit equally from the combined (equivalised) income of the household. It does not provide any information about the distribution of financial resources within the household.

Table 5.28 Proportion and number of working age adults in relative low income by sex (Before and After Housing Costs), Scotland, 1996/97-2004/05

Year

Males

Females

All Working Age Adults

All Working Age Adults

Before Housing Costs

After Housing Costs

Before Housing Costs

After housing Costs

Before Housing Costs

After housing Costs

%

(000s)

%

(000s)

%

(000s)

%

(000s)

%

(000s)

%

(000s)

1996/97

16

240

20

310

16

230

20

290

16

470

20

600

1997/98

14

210

16

250

17

250

19

280

15

460

18

530

1998/99

15

240

18

280

15

220

19

280

15

460

19

560

1999/00

15

240

19

290

16

240

21

300

16

480

20

590

2000/01

17

250

20

310

17

260

22

320

17

510

21

630

2001/02

15

230

18

280

16

230

19

280

15

460

19

560

2002/03

17

260

19

300

18

260

21

310

17

520

20

610

2003/04

15

240

18

270

16

230

18

270

15

470

18

540

2004/05

14

220

17

270

15

220

18

270

15

440

18

540

Source: Households Below Average Income, DWP
Note: Individuals in households with an equivalised net disposable income below 60% of the relevant year's GB median.

Table 5.28 above indicates the proportions and numbers of working age adults who were in households below average income from 1996/97-2004/05. In terms of numbers and of proportions the position for men and women was very similar. While in this period there were some fluctuations in absolute numbers of men and women in low income households, with sometimes the number of men being larger and sometimes the number of women being larger, the proportions of male adults of working age in this position were very similar to the proportions of female adults of working age in this position. In general fluctuations in numbers and proportions of male and female adults in below average income households between 1996/97 and 2004/05 were small, with the position remaining relatively stable.

The situation with regard to pensioner households below average income differs in certain respects from that of working age adults. Table 5.29 below indicates both the numbers and proportions of male and female pensioners in households below average income between 1996/97 and 2004/05. This shows that for all years the number of female pensioners in low income households was far greater than the number of male pensioners in low income households. In 1996/97 there were 190,000 female pensioners in households below average income (After Housing Costs) compared to 70,000 male pensioners. While by 2004/05 the numbers of both female and male pensioners in households below average income (After Housing Costs) had declined, there were still significantly more women in this situation, 90,000 compared to 50,000 men. In 1996/97 there was also a greater proportion of female than male pensioners in households below average income (After Housing Costs), 33% of all female pensioners compared to 25% of all male pensioners. By 2004/05 this proportion had declined for both female and male pensioners to 15% for male pensioners and 16% of female pensioners.

Table 5.29 Proportion and number of pensioners in relative low income by sex ( BHC and AHC), Scotland, 1996/97-2004/05

Year

Male pensioners

Female pensioners

All pensioners

Before Housing Costs

After Housing Costs

Before Housing Costs

After Housing Costs

Before Housing Costs

After Housing Costs

%

000s

%

000s

%

000s

%

000s

%

000s

%

000s

1996/97

24

70

25

70

26

150

33

190

26

220

30

260

1997/98

20

60

25

70

19

110

26

150

19

170

25

220

1998/99

20

60

25

70

22

130

26

150

21

180

25

220

1999/00

22

70

24

70

24

140

27

160

23

200

26

230

2000/01

20

60

21

70

21

120

24

140

20

180

23

210

2001/02

16

50

20

60

19

110

20

120

18

160

20

180

2002/03

18

60

20

60

22

130

22

120

21

180

21

190

2003/04

18

60

18

60

20

110

18

110

19

170

18

160

2004/05

18

60

15

50

18

110

16

90

18

170

16

140

Source: Households Below Average Income, DWP
Note: Individuals in households with an equivalised net disposable income below 60% of the relevant year's GB median.

5.6 benefits and pensions

In addition to measures such as the Households Below Average Income measure, information on recipients of state benefits is an important source of data indicating the prevalence of poverty and low incomes among women and men, though such data do not always present a clear picture of the gender distribution of claimants. Furthermore, in recent years there have been a number of changes to the benefits system, including the introduction of new benefits and the modification or cessation of others. For this reason it is not possible to track precisely the changing gender balance in the population in receipt of state benefits. The tables in this section provide data on key state benefits only. With respect to other benefits such as Widow's Benefit and Bereavement Benefit, numbers of recipients are relatively small, with the former being paid exclusively to women, and women being the majority of recipients of the latter.

Table 5.30 below provides an indication of the gender differences in the types of benefits men and women received in 2000. Men were three-quarters of all Job Seeker's Allowance recipients, though this figure includes men claiming on behalf of a dependent partner (and in some cases vice versa, though probably a small number), so the extent to which women are also reliant on this benefit is unclear. Women made up the majority of those in receipt of Severe Disablement Allowance (59%), while men were the majority of Incapacity Benefit recipients (64%).

5.30 Recipients of key benefits by sex, 2000

Recipients by type of benefit

Men (000s)

Women (000s)

Women as % of total

All Jobseeker's Allowance claimants

104.4

30.6

23

Severe Disablement Allowance

17.3

24.4

59

Incapacity Benefit

129.5

141.2

36

Source: DWP Information Directorate: Work and Pensions Longitudinal Study

Historically, women have tended to be the majority of those dependent on benefits, with previously, for example, women being the majority of those dependent on Income Support. Because of changes to the benefits system in recent years, it is not possible to make direct comparisons with data for earlier periods. In particular Income Support figures have been affected by the introduction of Pension Credit from November 2003. This replaced the Minimum Income Guarantee, and extended Income Support entitlement to those aged 60+.

The gender distribution of claimants of Jobseeker's Allowance, Severe Disablement Allowance and Incapacity Benefit, remained similar for 2006, as indicated in Table 5.31 below. Data for 2006 also indicate that women were the majority of those dependent on Income Support (61%), and in particular made up 95% of lone parents dependent on Income Support. Taking together all recipients of key benefits listed in Table 5.31 above, it can be seen that men make up a majority, 53% as compared to 47% women.

Table 5.31 Recipients of key benefits, 2006

Men (000s)

Women (000s)

Women as % of total

All Jobseeker's Allowance claimants

72.74

23.91

25

All recipients of Income Support

86.07

135.81

61

Of which:

Carer

5.08

4.46

47

Incapacity benefits

74.73

64.72

46

Lone parents

3.40

62.33

95

Other

2.87

4.29

60

Severe Disablement Allowance

13.31

18.08

58

Incapacity Benefit

107.87

69.99

39

Source: DWP Information Directorate: Work and Pensions Longitudinal Study.
Note: Since October 2003, Income Support figures are affected by the introduction of Pension Credit which replaced Minimum Income Guarantee.

Women are the majority of those in receipt of state pensions and of pension credits as Tables 5.32 and 5.33 below show. In both cases women make up around two-thirds of recipients of State Pensions and of Pension Credit. Women are more likely than men to be dependent on state benefits in retirement, and overall are less likely to have access to occupational pensions schemes, especially where they are in low paid part-time employment. Women's greater dependency on benefits in their later years is an important contributory factor to their overall greater vulnerability to poverty.

Table 5.32 State Pension Caseload, 2002-2005

000s

Women as % of total

Total

Female

Male

Aug-02

918.28

592.22

326.05

65

Aug-03

926.61

596.42

330.19

64

Aug-04

936.06

601.33

334.84

64

Aug-05

942.74

603.70

339.27

64

Source: DWP Information Directorate: Work and Pensions Longitudinal Study.

Table 5.33 Pension Credit Caseload, 2004-2005

Thousands

Women as % of total

Total

Female

Male

Aug-04

270.85

175.6

95.25

65

Aug-05

280.25

180.25

100.00

64

Source: DWP Information Directorate: Work and Pensions Longitudinal Study.

Table 5.34 below indicates the types of pension scheme membership of male and female employees in 2004/05.

Table 5.34 Current pension scheme membership by age, 2004/05

Pension scheme members

000s

16-24

25-34

35-44

45-54

55 and over

All

% with pension

Women full-time

Occupational pensions

20

100

110

110

50

390

59

Personal pensions*

-

10

10

10

10

40

6

None

50

50

60

50

20

230

35

Total

80

160

180

170

80

660

100

Women part-time

Occupational pensions

-

20

50

40

20

130

32

Personal pensions*

-

10

10

10

-

30

8

None

60

30

60

40

50

240

60

Total

60

60

110

90

70

400

100

Men full time

Occupational pensions

20

100

170

140

80

520

53

Personal pensions*

-

20

40

30

20

110

11

None

90

100

80

60

50

370

37

Total

110

220

290

230

150

990

100

Source: Family Resources Survey, DWP
"-" means numbers are nil or negligible
*Adults with both a 'personal' and an 'occupational' pension have been added into 'personal pensions' due to the small number of adults having both pension schemes.

This shows that women full-time workers were the most likely to be in occupational pension schemes - 59% of women full-time workers compared to 53% of male full-time workers. Women part-time workers were the least likely to have access to occupational pension schemes, with only 32% of this group being members of such schemes. Women part-time workers were correspondingly most likely not to have any pension provision, with 60.0% being in this position, compared to 35% of women full-time workers and 37% of male full-time workers having no provision. Of all women workers, full-timers and part-timers taken together 44% were without pension provision.

5.7 financial assets and management

Access to financial assets and products is also a measure of levels of income and wealth, as are concerns about finances and their management. This section examines evidence of differences between men and women in access to various financial resources and in their attitudes to financial matters.

Analysis of data from the Scottish Household Survey, as shown in Table 5.35 below, indicates that in 1999/2000 households where the man was the highest income earner were more likely to have access to bank accounts, savings and investments, and home contents insurance than those households where the highest income earner was a woman. The differences in access to such facilities or assets were greater for male and female HIH householders of working age than for such households throughout the population as a whole. In particular, of HIH householders of working age 58% of males had savings and investments compared to 41% of females.

Table 5.35 Possession of financial products by sex of HIH, 1999/2000 (percentages)

All households

Households with HIH of working age

Male

Female

Total

Male

Female

Total

Bank account

89

81

86

90

81

87

Savings and investments

58

46

54

58

41

52

Home contents insurance

85

76

81

84

71

80

Base

13,871

8,068

21,939

10,948

4,948

15,896

Source: Scottish Household Survey. Scottish Executive (2001) Scottish Household Survey Bulletin, No 5.
http://www.scotland.gov.uk/shs/docs/00063-00.asp

Analysis of data from the Family Resources Survey, as shown in Table 5.36 below, indicates that in both 1999/2000 and 2004/2005 the types of accounts and savings used by men and women were very similar overall. Men were slightly more likely to have stocks and shares, 19% of men compared to 15% of women in 1999/2000 and 16% of men compared to 13% of women in 2004/05. In general, the proportions of both men and women who had some type of account and who had some savings had increased between 1999/2000 and 2004/05.

Table 5.36 Percentage of adults by sex and type of saving, 1999/2000 and 2004/2005

Type of account

1999/2000

2004/2005

Men

Women

Men

Women

Current Account

78

76

86

86

Post Office Account

3

4

2

3

TESSA

8

9

4

3

ISA

7

7

23

26

Other bank/building society accounts

45

49

38

40

Stocks and Shares

19

15

16

13

PEPs

9

8

5

4

Gilts

-

1

-

-

Unit Trusts

4

4

3

2

Premium Bonds

11

12

11

11

National Savings Bonds

2

3

2

2

Save as you earn

1

1

-

-

Any type of account

86

86

93

94

No account

14

14

7

6

Source: Family Resources Survey

Table 5.37 Proportion of savings by family status, 2004/05 (percentages)

Capital

Pension-er couple

Male pension-er single

Female pension-er single

Couple with children

Couple without children

Lone parent

Male single without children

Female single without children

All

No savings

20

33

31

34

23

66

55

50

39

Less than £1,500

14

9

19

22

20

22

19

23

20

£1,500 to less than £3,000

7

10

7

8

8

5

7

9

8

£3,000 to less than £8,000

17

17

15

15

17

4

9

8

13

£8,000 to less than £10,000

5

3

6

3

4

1

2

2

3

£10,000 to less than £16,000

9

9

8

6

8

1

3

3

6

£16,000 to less than £20,000

5

1

2

3

4

1

-

1

2

£20,000 and over

23

18

11

9

16

2

4

4

10

Source: Family Resources Survey, DWP

The Family Resources Survey also provides information on the levels of savings to which different types of families have access. As Table 5.37 above shows, of all family types lone parents are least likely to have savings, with 66% of lone parent families having no savings compared to an average of 39% for all family types in 2004/05. By contrast pensioner couples and couples without children were most likely to have savings, with 80% of the former and 77% of the latter having savings. Of those having savings, the biggest group overall had only small savings of less than £1500, with 20% of all families falling into this category. The most disadvantaged groups in terms of access to no or only low savings were lone parent families (88%) followed by single men without children (74%) and single women without children (73%), though age is likely to be a factor for the latter groups, since they are likely to be relatively young.

Use of credit is also indicative of levels of access to financial resources, though may also be indicative of attitudes to debt and to financial risk. As Table 5.38 below indicates in 2005 a higher proportion of men than women used credit cards, 59% compared to 43%. Men were also slightly more likely than women to use store cards, 18% compared to 16%, and equally likely to use catalogues or mail order schemes. Women were more likely than men not to use any type of credit arrangement, 39% compared to 29%.

Table 5.38 Use of credit by sex, 2005 (percentages)

Male

Female

Credit Cards

59

43

Charge Cards NOT Switch

7

4

Shop or store cards

18

16

Catalogues or mail order schemes

20

20

Hire Purchase Agreements

9

7

Shopping vouchers or cards

2

3

None of these

29

39

Refused

4

4

Base

9,103

6,285

Source: Scottish Household Survey. Scottish Executive (2006) Scotland's People, 2005.
Note: Columns add up to more than 100% due to multiple response
http://www.scotland.gov.uk/Publications/2006/08/03090800/0

Where credit methods had been used to borrow money in 2005, there was little difference in the methods used by men and women, as Table 5.39 below indicates. Men were slightly more likely than women to use bank overdrafts or to have a loan from a bank, building society or credit union, but the majority of men (71%) and women (72%) had not used any credit methods to borrow money.

Table 5.39 Use of credit methods to borrow money in the last 12 months, 2005 (percentages)

Male

Female

Bank overdraft

13

11

Loan from bank, building society or credit union

10

7

Loan from a finance company

3

3

Loan from a money lender or 'tally man'

-

0

Loan from friend or relative

2

3

Loan, or advance on wages, from employer

0

-

A ( DSS) Social Fund loan

1

3

Cheque-cashing service

0

0

Pawnbroker

0

0

Other borrowing

1

1

None of these

71

72

Refused

4

4

Base

9,103

6,285

Source: Scottish Household Survey. Scottish Executive (2006) Scotland's People, 2005.
Note: Columns add up to more than 100% due to multiple response
http://www.scotland.gov.uk/Publications/2006/08/03090800/0

The different levels of income and wealth that men and women have access to appears to be reflected in their concerns about managing money. As Table 5.40 below indicates, women were more likely than men to worry a lot about money, with 17% of female Highest Income Householders in 2000 saying that they worried about money almost all the time compared to 11% of male Highest Income Householders. By contrast, 27% of men said they never worried about money compared to 19% of women saying this.

Table 5.40 Frequency of worrying about money by sex of HIH, 2000 (percentages)

Male

Female

Total

Almost all the time

11

17

13

Quite often

20

22

20

Only sometimes

39

38

39

Never

27

19

24

Don't know/refused

1

5

4

Base

10,938

4,945

15,883

Source: Scottish Household Survey. Scottish Executive (2001) Scottish Household Survey Bulletin, No 5.
http://www.scotland.gov.uk/shs/docs/00063-00.asp

Similarly there is a gender difference in men's and women's perception of how well the household is managing financially. As Table 5.41 below shows for 2000, though there was no difference in the proportions of male and female Highest Income Householders who said they managed very well and who said they got by alright, male HIHs were more likely than females to say that they were managing quite well, 26% compared to 22%, while females were more likely than males to say they had some financial difficulties, 10% compared to 5%.

Table 5.41 How household is managing financially by sex of HIH, 2000 (percentages)

Male

Female

Total

Manage very well

12

12

12

Manage quite well

26

22

25

Get by alright

40

40

40

Don't manage very well

16

15

16

Have some financial difficulties

5

10

6

Are in deep financial trouble

1

2

1

Don't know/refused

0

0

0

Base

10,938

4,945

15,883

Source: Scottish Household Survey. Scottish Executive (2001) Scottish Household Survey Bulletin, No 5.
http://www.scotland.gov.uk/shs/docs/00063-00.asp

5.8 Other assets

This chapter has been concerned primarily with earnings and financial income and assets of various kinds. However, there are other significant assets indicating levels of income and wealth, with the main such assets being housing and cars. Gender differences with respect to home ownership and other forms of housing tenure and quality of housing are discussed in Chapter Nine on Housing, while gender differences in car ownership and access to cars are discussed in Chapter Ten on Transport. Access to a range of other consumer goods may also be an indicator of levels of income and wealth. Discussed below are gender differences in access to and use of the internet, which are likely to be at least partly related to income levels given the cost of computers and computer services such as internet links. Access to computers also has a part to play in the capacity of individuals to participate in various aspects of civic and public life, though this does not provide any precise measure of civic engagement.

Table 5.42 below indicates that while there had been an increase between 2002 and 2005 in the percentages of both men and women who had access to the internet, a higher proportion of men than women had access to the internet in both years, 41% of men compared to 34% of women in 2002, and 55% of men compared to 48% of women in 2005.

Table 5.42 Access to the internet , 2002 and 2005 (percentages)

2002

2005

Male

Female

Male

Female

Yes

41

34

55

48

No

58

66

45

52

Don't know

1

0

0

0

Base

5,681

7,733

5,968

8,102

Source: Scottish Household Survey. Scottish Executive (2003) Scotland's People 2001-02; Scottish Executive (2006) Scotland's People 2005.
http://www.scotland.gov.uk/Publications/2003/08/17928/24700; http://www.scotland.gov.uk/Publications/2006/08/03090800/0

Table 5.43 Current uses of the internet by sex, 2005 (percentages)

Male

Female

All

Using email

86

87

86

General browsing or surfing

79

73

76

Finding information about goods/services

72

67

69

Buying or ordering tickets and services

63

63

63

Finding information related to education

42

48

45

Non-grocery shopping

44

44

44

Personal banking/financial investment activities

42

38

39

Using or accessing government/official sites

39

32

35

Playing or downloading music

39

26

32

Looking for work

31

28

29

Playing or downloading games

27

17

22

On-line learning

21

19

20

Grocery shopping

13

20

17

Using chat rooms or sites

15

10

12

Voting

2

1

1

Paying rent

1

1

1

None of these

1

1

1

Base

3,033

3,533

6,566

Source: Scottish Household Survey. Scottish Executive (2006) Scotland's People 2005.
Columns add to more than 100% since multiple responses allowed.
http://www.scotland.gov.uk/Publications/2006/08/03090800/0

There were some gender differences in the types of uses made of the internet in 2005, as Table 5.43 above shows. With reference specifically to finances and making purchases by internet, men were more likely than women to use the internet for personal banking or financial investment activities, with 42% of men doing so compared to 38% of women. Women were more likely than men to use the internet for grocery shopping, with 20% of women doing so compared to 13% of men.

5.9 Summary

This chapter has looked at statistical evidence of gender differences in access to incomes from earnings, and from assets, savings and benefits, and of differences in financial management and attitudes to this. The statistical evidence indicates that women's access to incomes from earnings and other sources is persistently lower than men's, that women tend to be more vulnerable to poverty than are men and that some groups of women are particularly vulnerable to poverty.

The gap in the average earnings of women and of men has been slowly declining over time, but is still significant. Over a lifetime the gender pay gap means that there is a significant financial penalty for women, and in particular for mothers (see Rake, 2000). There are a number of factors which contribute to the gender pay gap, and these might interact in a complex way, with different factors being more significant within different occupations and industries. Among factors which contribute to the gender pay gap are differences in qualifications and experience, patterns of working hours, industrial and occupational segregation, and interruptions to paid work to look after children or other dependants (for a detailed discussion of these factors, see Anderson et al, 2001). However, discrimination also continues to play a role, as is evident from the numbers of equal pay and sex discrimination employment tribunal cases. It has also been argued that differences in measurable labour market characteristics, such as qualifications, do not explain the gender pay gap for full-time women workers, and that their pay should be on a par with that of full-time male workers. The pay of part-time women workers is, however, significantly influenced by differences in characteristics such as lower levels of qualifications, which explain most of the gap in earnings of full-time and part-time women workers. Interruptions to employment for childcare or other forms of caring, and/or working in low paid employment, in turn contribute to the disadvantaged position of older women, as they are excluded from occupational pension schemes, or fail to build up a sufficient National Insurance contribution record. The complexity of factors contributing to the continuing gender pay gap suggests that policy responses also need to be complex, and that different strategies may be required for different sectors of the economy (see, for example, Dignan, 2003). There has been no in-depth analysis of gender and labour market participation and patterns of earnings in Scotland to date, and yet, as the selected tables presented in this chapter and in Chapter Four on the Labour Market indicate, there are existing data sets which would permit of much more in-depth analysis and of detailed analysis of changes over time. Such analyses should be regarded as a priority area for research and as providing the basis for further research studies.

The data on individual incomes used in this chapter has been drawn from the Women and Equality Unit's regular publication on Women's Individual Incomes, which has included a breakdown for Scotland. At the time of writing a review of the regular publication of data on women's individual incomes was being carried out, and it is unclear whether such data will continue to be available for Scotland. The analysis is significant in underlining that the gap in the average individual incomes of women and men is even greater than the gap between earnings, and suggests that many women do not have access to incomes which are sufficient to maintain themselves and their children. Within couple households, though women's individual incomes may be low they may enjoy a high standard of living. However, in situations where relationships break down, women are often vulnerable to poverty. Furthermore, as research in Northern Ireland has pointed out, though material standards of living may be little affected by lack of access to personal income, access to this is important not only in meeting basic needs, but also in allowing people to engage in social and other activities outside the home (McLaughlin et al, 1999). Lack of access to income can therefore result in lack of capacity to engage in civic and public life, and can result in social exclusion.

Data on low pay and on individual incomes contained in this chapter have indicated the degree of disadvantage that women experience compared to men in their access to income. Data on low income households indicate that there are similar proportions of men and women living in low income households. However, women are more likely to be reliant on state benefits and this is particularly true for groups such as lone women pensioners and lone parents, as has been noted in previous research (see, for example, Brown et al, 2002). An analysis carried out by Bradshaw et al (2003) of Scottish Household Survey data for 1999/2000 concluded that there were statistically higher poverty rates for women than for men in Scotland both before and after housing costs, though the differences were not great. In particular, higher poverty rates were found for the following groups: single female pensioners; lone parents (both lone mothers and lone fathers); non-white men compared with non-white women; women with children compared to men with children; female heads of household who were 18 or under; female pensioners over 80; and single female pensioners without an occupational pension.

A further dimension to the gendered experience of poverty is that of distribution of income within households. This is a complex issue to investigate, and there does not appear to have been any Scottish based research carried out on this topic. GB research has indicated, however, that couples use different systems to organise household resources and that there are different degrees of sharing involved in this (see Glendinning and Millar, 1992; Bradshaw et al, 2003). Consequently, it cannot be assumed that women have equal access to resources within couple households. Furthermore, in lower income households women may have very little access to personal income as such, as they often tend to have responsibility for managing household finances, and also tend to put the needs of other family members before their own.

As indicated above, available data on earnings and income indicate that overall women are significantly disadvantaged compared to men, and are more vulnerable to poverty. Existing data sets could be analysed further to explore the extent and nature of this problem, and how it is changing over time. More research on the gender dimensions of poverty in Scotland would also be helpful, since apart from the work of the Scottish Poverty Information Unit, and the study by Bradshaw et al, gender has tended to be neglected in research on this topic in Scotland. With respect to the Gender Equality Duty, public bodies responsible for economic development and for regeneration and anti-poverty strategies will need to pay due regard to evidence of gender inequalities in earnings and incomes, and public bodies as employers will also be required to take account of data on earnings and the gender pay gap.

References

Anderson, T, Forth, J, Metcalf, H and Kirby, S (2001) The Gender Pay Gap, London: Women and Equality Unit/National Statistics

Bradshaw, J, Finch, N, Kemp, P, Mayhew, E, and Williams, J (2003) Gender and Poverty in Britain, Manchester: Equal Opportunities Commission
http://www.eoc.org.uk/PDF/genderandpoverty.pdf

Brown, U, Scott, G, Mooney, G, and Duncan, B (eds.) (2002) Poverty in Scotland 2002: People, places and policies, Glasgow: Scottish Poverty Information Unit
http://www.povertyinformation.org/fileuploads/povscot02.doc

Dignan, T (2003) Gender and Pay in the Information Technology and Retail Sectors in Northern Ireland, Belfast: ECNI
http://www.equalityni.org/archive/pdf/GenderPayITRetail.pdf

Glendinning, C and Millar, J (eds.) (1992) Women and Poverty in Britain: the 1990s, London: Harvester Wheatsheaf

McLaughlin, E, Trewsdale, J and McCay, N (1999) Women's Incomes and the Social Security System, Belfast: EOCNI

Rake, K (ed) (2000) Women's Incomes Over the Lifetime, London: Women's Unit, Cabinet Office

Scottish Executive (2001) Men and Women in Scotland: a Statistical Profile, 2001
http://www.scotland.gov.uk/stats/mnw-00.asp

Scottish Executive (2001) Scottish Household Survey Bulletin, No 5
http://www.scotland.gov.uk/shs/docs/00063-00.asp

Scottish Executive (2003) Scotland's People 2001-02
http://www.scotland.gov.uk/Publications/2003/08/17928/24700

Scottish Executive (2004) Closing the Opportunity Gap
http://www.scotland.gov.uk/topics/people/social-inclusion/17415/opportunity

Scottish Executive (2004) Social Focus on Disability
http://www.scotland.gov.uk/Publications/2004/08/19818/41697

Scottish Executive (2006) Scotland's People, 2005
http://www.scotland.gov.uk/Publications/2006/08/03090800/0

Women and Equality Unit (2005) Individual Incomes of Men and Women 1996/97 to 2004/05
http://www.womenandequalityunit.gov.uk/indiv_incomes/report2005.pdf

Young, C (2006) Low Pay in Scotland: An Analysis of the 2005 Annual Survey of Hours and Earnings, Glasgow: Scottish Low Pay Unit
http://www.slpu.org.uk/

Page updated: Tuesday, March 27, 2007