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8 Nov 2006 : Column 1539W—continued



8 Nov 2006 : Column 1540W
Table 2: Period life expectancy at birth( 1, ) wards in the London boroughs of Redbridge and Waltham Forest( 2 ) females, 1999 to 2003( 3)
Years of life
Ward Life expectancy 95 per cent. confidence interval( 4) Communal establishment indicator( 5)

Redbridge

Aldborough

79.8

78.2 - 81.3

3

Barkingside

84.6

82.9 - 86.2

0

Bridge

82.5

80.8 - 84.2

0

Chadwell

80.9

79.3 - 82.5

4

Church End

83.3

81.9 - 84.8

2

Clayhall

83.3

82.1 - 84.5

0

Clementswood

78.8

77.1 - 80.6

1

Cranbrook

81.6

80.2 - 83.1

4

Fairlop

82.5

81.1 - 83.8

0

Fullwell

83.1

81.8 - 84.4

1

Goodmayes

80.8

79.1 - 82.5

1

Hainault

79.4

77.5 - 81.2

1

Loxford

78.3

76.8 - 79.8

5

Mayfield

81.5

80.0 - 83.1

2

Monkhams

82.0

80.7 - 83.4

3

Newbury

82.0

80.2 - 83.8

0

Roding

81.3

79.7 - 82.9

0

Seven Kings

79.5

78.0 - 82.0

3

Snaresbrook

81.8

80.4 - 83.2

3

Valentines

79.3

77.6 - 81.0

3

Wanstead

82.0

80.5 - 83.5

2

Waltham Forest

Cann Hall

78.1

76.3 - 79.9

1

Cathall

76.4

74.7 - 78.2

1

Chapel End

79.5

77.6 - 81.3

0

Chingford Green

80.1

78.4 - 81.7

3

Endlebury

82.3

80.7 - 83.9

1

Forest

79.2

77.5 - 81.0

1

Grove Green

79.4

77.4 - 81.4

0

Hale End and Highams Park

80.0

78.5 - 81.5

2

Hatch Lane

79.6

78.1 - 81.1

2

High Street

80.3

78.6 - 82.0

1

Higham Hill

78.0

76.3 - 79.7

1

Hoe Street

79.4

77.8 - 81.0

3

Larkswood

80.2

78.7 - 81.6

4

Lea Bridge

78.4

76.8 - 80.1

2

Leyton

77.4

75.7 - 79.0

2

Leytonstone

78.2

76.5 - 79.8

5

Markhouse

77.7

75.8 - 79.5

1

Valley

78.3

76.5 - 80.0

2

William Morris

79.1

77.6 - 80.7

2

Wood Street

80.5

79.0 - 82.0

2

(1) Period life expectancy at birth is an estimate of the average number of years a newborn baby would survive if he or she experienced the area’s age-specific mortality rates for that time period throughout his or her life. The figure reflects mortality among those living in the area in each time period, rather than mortality among those born in each area.
It is not therefore the number of years a baby born in the area in each time period could actually expect to live, both because the death rates of the area are likely to change in the future and because many of those born in the area will live elsewhere for at least some part of their lives.
(2) Using boundaries as of 2005 and population estimates based on the 2001 Census for all the years shown.
(3) Five year averages, based on deaths registered in each year, and experimental ward population estimates based on the 2001 Census.
(4) Confidence intervals are a measure of the statistical precision of an estimate and show the range of uncertainty around the estimated figure. Calculations based on small numbers of events are often subject to random fluctuations. As a general rule, if the confidence interval around one figure overlaps with the interval around another, we cannot say with certainty that there is more than a chance difference between the two figures.
(5) The presence of medical and care communal establishments, such as nursing homes and hospices, can artificially depress the average life expectancy of the ward in which they are located. To aid interpretation of the figures, this indicator shows the proportion of the female population of each ward, aged 65 and over, who were resident in such establishments in 2001. For this purpose, all wards in England and Wales (not only the wards in these boroughs) were divided into six groups which are numbered from 0 to 5.
‘0’ means that none of the over-65 population lived in medical and care communal establishments.
‘1’ means that the proportion of the over-65 population in such establishments was in the lowest fifth of all wards.
‘5’ means that the proportion of the over-65 population in such establishments was in the highest fifth of all wards.

National Income

Mr. Frank Field: To ask the Chancellor of the Exchequer what share of national income went to (a) wages and (b) salaries in each year since 1992. [100387]

John Healey: The information requested falls within the responsibility of the National Statistician, who has been asked to reply.


8 Nov 2006 : Column 1541W

Letter from Karen Dunnell, dated 7 November 2006:

Gross national income( 1) (£ million) Wages and salaries( 2) (£ million) Wages and Salaries as percentage of gross national income( 3) (Percentage)

1992

607849

302841

50

1993

637955

310548

49

1994

681263

321680

47

1995

716986

336290

47

1996

762853

351322

46

1997

811797

374510

46

1998

869706

406548

47

1999

904737

431795

48

2000

954004

462505

49

2001

1005313

491044

49

2002

1069839

508681

48

2003

1132938

527689

47

2004

1202075

550654

46

2005

1253429

576703

46

(1) Gross national income represents the total income of UK residents. It can be derived from GDP by adding net employment income and net property income from the rest of the world.
(2) Wages and salaries cannot be split into the two constituent parts, as data sources from tax records and from business surveys only provide the aggregate total wages and salaries data.
(3) This has been rounded to one decimal place.


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