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Departmental Data

Dáil Éireann Debate, Tuesday - 16 April 2024

Tuesday, 16 April 2024

Questions (130)

Richard Bruton

Question:

130. Deputy Richard Bruton asked the Taoiseach the distribution of retirees across the entire Irish workforce, by age of retirement; the difference of pattern among the self-employed and the rest; and their estimate of the number of persons at work aged 64, 65, 66, 67, 68, 69, and 70 or over. [15927/24]

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Written answers

The exact information requested by the Deputy is not available.

The Labour Force Survey (LFS) is a household survey which provides quarterly statistics on employment and unemployment and is the official source of labour market estimates in the State. The classification of employment status in LFS results is determined according to ILO (International Labour Organisation) concepts and definitions.

The LFS does not record respondents’ age of retirement. However, the LFS does contain estimates of numbers of retired persons by age as well as population by age– see Table 1.

The LFS does not record the former employment status (self-employed or employee) of retired persons. However, Table 2 contains estimates for numbers of persons employed broken down by age group and employment status from Q1 2022 to Q4 2023.

Estimates for the numbers of persons in employment by ages 64 years + are available in Table 3.

Table 1 Number of retired persons (PES) and total population 55+, Q1 2022 - Q4 2023

Data may be subject to future revision.

Data may be subject to sampling or other survey errors, which are greater in respect of smaller values or estimates of change.

Reference period: Q1 Jan-Mar,Q2 Apr-Jun,Q3 Jul-Sep,Q4 Oct-Dec.

Estimates for number of persons, where there are less than 30 persons in a cell, are too small to be considered reliable. These estimates are presented with an asterisk (*) in the relevant tables. Where there are 30-49 persons in a cell, estimates are considered to have a wider margin of error and should be treated with caution. These cells are presented with parentheses []. In the case of rates, these limits apply to the denominator used in generating the rate. In the case of annual changes, both the current year and the preceding year are taken into account when deciding whether the estimate should be suppressed or flagged as having a wider margin of error.

Table 2: Persons in employment (ILO) by employment status and age group, Q1 2022 - Q4 2023

'000

2022

2023

Q1

Q2

Q3

Q4

Q1

Q2

Q3

Q4

Self-employed with and without employees

47.9

49.6

50.9

44.4

43.7

44.1

47.9

47.2

Age group 55-59 years

Employee or assisting relative

185.9

184.5

183.1

187.7

192.0

192.4

192.5

183.6

Self-employed with and without employees

39.4

40.7

39.3

41.8

43.8

43.9

44.5

46.6

Age group 60-64 years

Employee or assisting relative

114.2

114.6

122.6

126.8

126.4

130.5

125.7

129.5

Self-employed with and without employees

24.4

24.3

23.2

26.1

30.1

29.6

28.7

25.5

Age group 65-69 years

Employee or assisting relative

33.6

38.7

36.5

37.7

38.5

38.8

41.1

46.5

Self-employed with and without employees

28.1

29.1

25.4

24.9

27.1

27.2

28.9

28.1

Age group 70+ years

Employee or assisting relative

16.9

16.3

16.6

14.6

14.3

15.3

17.8

17.6

Source: CSO Labour Force Survey

Data may be subject to future revision.

Data may be subject to sampling or other survey errors, which are greater in respect of smaller values or estimates of change.

Reference period: Q1 Jan-Mar,Q2 Apr-Jun,Q3 Jul-Sep,Q4 Oct-Dec.

Table 3: Persons in employment (ILO) 64-89 Q1 2022 - Q4 2023

-

Q1 2022

Q2 2022

Q3 2022

Q4 2022

Q1 2023

Q2 2023

Q3 2023

 Age 64 years

24.3

23.1

22.7

24.9

27.2

26.2

27.8

Age 65 years

15.9

16.7

16.5

18.6

21.3

20.3

20.0

Age 66 years

13.0

15.4

15.5

13.9

13.9

15.1

16.7

Age 67 years

12.4

11.3

9.5

12.7

13.0

13.3

15.0

Age 68 years

9.8

12.0

9.4

9.9

12.3

11.1

8.2

Age 69 years

7.0

7.6

8.8

8.7

8.1

8.6

10.0

 Age 70+ years

44.9

45.3

42.1

39.6

41.3

42.6

46.7

Source: CSO Labour Force Survey

Data may be subject to future revision.

Data may be subject to sampling or other survey errors, which are greater in respect of smaller values or estimates of change

Reference period: Q1 Jan-Mar,Q2 Apr-Jun,Q3 Jul-Sep,Q4 Oct-Dec.

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