Question to the Cabinet Office:
To ask Her Majesty's Government how many jobs have been lost in each parliamentary constituency in Wales so far in the 2020/21 financial year.
The information requested falls under the remit of the UK Statistics Authority. I have, therefore, asked the Authority to respond.
Professor Sir Ian Diamond | National Statistician
The Lord German OBE
House of Lords
London
SW1A 0PW
15 February 2021
Dear Lord German,
As National Statistician and Chief Executive of the UK Statistics Authority, I am responding to your Parliamentary Question asking how many jobs have been lost in each parliamentary constituency in Wales so far in the 2020/21 financial year (HL13074).
The Office for National Statistics (ONS) produces labour market statistics for small areas from the Annual Population Survey (APS), which is a survey of people resident in households in the UK.
The APS cannot be used to measure the number of people who have lost their jobs, but instead can provide estimates of how the size of the workforce has changed over time. The survey provides level estimates for 12-month periods, based on interviews taking place throughout that time. Comparisons should only be made between non-overlapping survey periods.
Table 1 shows the employment levels for the 12-month period ending September 2020, the latest available period, and the previous non-overlapping period for the 12-months ending September 2019, along with the net change between the two periods, for each parliamentary constituency in Wales.
Estimates from the APS are from a sample survey and as such are subject to a certain level of uncertainty. As the information provided is quite extensive, a copy has been placed in the House of Lords library.
Yours sincerely,
Professor Sir Ian Diamond
Table 1: Number of people in employment1 for the 12 month periods ending September 2019 and September 2020, and net change between the 2 periods, in Parliamentary Constituencies in Wales | |||||
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| Thousands | |||
Parliamentary Constituency | Geocode | Oct 2018-Sep 2019 | Oct 2019-Sep 2020 | Net change |
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Aberavon | W07000049 | 30 | 28 | -2 |
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Aberconwy | W07000058 | 25 | 26 | 1 |
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Alyn and Deeside | W07000043 | 45 | 45 | 0 |
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Arfon | W07000057 | 30 | 22 | -8 |
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Blaenau Gwent | W07000072 | 31 | 32 | 1 |
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Brecon and Radnorshire | W07000068 | 32 | 29 | -3 |
|
Bridgend | W07000073 | 42 | 42 | -1 |
|
Caerphilly | W07000076 | 37 | 40 | 3 |
|
Cardiff Central | W07000050 | 37 | 41 | 4 |
|
Cardiff North | W07000051 | 58 | 58 | 0 |
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Cardiff South and Penarth | W07000080 | 63 | 64 | 1 |
|
Cardiff West | W07000079 | 54 | 47 | -7 |
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Carmarthen East and Dinefwr | W07000067 | 31 | 30 | -2 |
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Carmarthen West and South Pembrokeshire | W07000066 | 33 | 35 | 2 |
|
Ceredigion | W07000064 | 34 | 35 | 2 |
|
Clwyd South | W07000062 | 39 | 35 | -4 |
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Clwyd West | W07000059 | 34 | 30 | -4 |
|
Cynon Valley | W07000070 | 32 | 27 | -5 |
|
Delyn | W07000042 | 34 | 34 | 0 |
|
Dwyfor Meirionnydd | W07000061 | 30 | 34 | 5 |
|
Gower | W07000046 | 43 | 41 | -2 |
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Islwyn | W07000077 | 38 | 39 | 1 |
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Llanelli | W07000045 | 36 | 35 | -1 |
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Merthyr Tydfil and Rhymney | W07000071 | 33 | 31 | -2 |
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Monmouth | W07000054 | 43 | 43 | 0 |
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Montgomeryshire | W07000063 | 30 | 32 | 2 |
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Neath | W07000069 | 37 | 35 | -1 |
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Newport East | W07000055 | 36 | 38 | 2 |
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Newport West | W07000056 | 44 | 45 | 1 |
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Ogmore | W07000074 | 31 | 33 | 2 |
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Pontypridd | W07000075 | 36 | 41 | 5 |
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Preseli Pembrokeshire | W07000065 | 38 | 37 | -2 |
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Rhondda | W07000052 | 30 | 26 | -4 |
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Swansea East | W07000048 | 31 | 33 | 2 |
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Swansea West | W07000047 | 39 | 37 | -2 |
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Torfaen | W07000053 | 34 | 35 | 1 |
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Vale of Clwyd | W07000060 | 29 | 31 | 2 |
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Vale of Glamorgan | W07000078 | 46 | 44 | -2 |
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Wrexham | W07000044 | 33 | 34 | 1 |
|
Ynys Mon | W07000041 | 33 | 31 | -2 |
|
Wales |
| 1468 | 1452 | -16 |
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[1] Quality indicator |
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Shaded estimates are based on a small sample size. This may result in less precise estimates, which should be used with caution. |
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Unshaded estimates are based on a larger sample size. This is likely to result in estimates of higher precision, although they will still be subject to some sampling variability. |
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