Employment by Occupation -
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5 Skilled trades occupations (Great Britain)


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local authority
numbers % Sort
Staffordshire Moorlands 11,800 22.9
Torridge 7,300 21.7
Eden 5,300 21.5
Dumfries and Galloway 15,800 21.0
Na h-Eileanan Siar 2,800 21.0
Barrow-in-Furness 6,100 19.7
North Norfolk 8,400 19.3
South Lakeland 9,600 19.1
Mid Devon 7,800 19.1
Dover 9,900 18.9
Castle Point 8,400 18.6
Ribble Valley 5,200 18.4
North Dorset 6,400 18.3
Aberdeenshire 25,500 17.8
Craven 4,900 17.5
Chesterfield 9,900 17.5
Scarborough 9,000 17.2
Powys 9,800 17.0
Cornwall 46,500 16.8
Suffolk Coastal 9,800 16.7
Rotherham 18,200 15.3
Ceredigion 5,800 15.1
Breckland 9,200 15.0
Newcastle-under-Lyme 9,300 15.0
Blaby 8,400 14.9
Angus 7,500 14.8
Shropshire 22,900 14.8
Horsham 10,900 14.4
West Oxfordshire 8,800 14.4
Mansfield 7,000 14.3
West Dorset 6,000 14.2
Pembrokeshire 7,900 14.1
East Devon 9,600 14.1
Lincoln 6,700 14.0
Taunton Deane 8,300 14.0
Isle of Wight 8,200 13.7
Tonbridge and Malling 9,700 13.7
Gwynedd 8,200 13.7
Torbay 8,600 13.6
Bassetlaw 7,800 13.6
Harborough 6,100 13.5
Aylesbury Vale 14,900 13.5
Teignbridge 8,700 13.4
Plymouth 17,100 13.4
Maidstone 11,700 13.4
New Forest 11,100 13.4
Denbighshire 5,800 13.3
Neath Port Talbot 8,500 13.2
East Ayrshire 7,400 13.0
East Lindsey 7,300 12.9
Conwy 6,600 12.9
Basildon 12,300 12.8
Allerdale 5,600 12.7
Selby 5,400 12.6
Hambleton 5,700 12.6
Newark and Sherwood 7,500 12.4
Hinckley and Bosworth 7,400 12.4
South Somerset 9,500 12.3
Forest of Dean 5,500 12.2
Ashfield 7,600 12.1
Sunderland 15,700 12.1
Poole 8,800 12.0
Doncaster 17,500 12.0
Blaenau Gwent 3,600 12.0
Canterbury 9,000 11.9
Isle of Anglesey 3,700 11.9
Chorley 7,200 11.9
Stoke-on-Trent 14,000 11.8
Ashford 7,600 11.8
North Lincolnshire 8,800 11.8
Perth and Kinross 10,000 11.8
North East Lincolnshire 8,200 11.8
Blackpool 6,400 11.7
Carmarthenshire 9,700 11.7
Wigan 18,000 11.6
Portsmouth 13,700 11.6
Herefordshire, County of 11,000 11.5
Scottish Borders 6,100 11.5
Carlisle 6,400 11.5
Highland 14,300 11.5
Northampton 13,300 11.4
Fife 20,200 11.4
Oldham 11,800 11.3
South Norfolk 7,500 11.3
Lancaster 8,300 11.2
East Riding of Yorkshire 18,200 11.2
Dundee City 7,600 11.1
Kettering 5,300 11.1
Moray 5,200 11.1
St. Helens 9,200 11.1
Argyll and Bute 4,700 11.1
Tameside 11,900 11.1
Bedford 9,300 11.0
Erewash 6,900 10.9
Kirklees 23,700 10.9
County Durham 26,400 10.9
Luton 10,700 10.9
Wiltshire 27,600 10.8
Dudley 15,400 10.8
King's Lynn and West Norfolk 8,600 10.7
Medway 16,000 10.7
Test Valley 6,800 10.5
Middlesbrough 6,200 10.4
Wealden 7,900 10.3
Southampton 14,300 10.3
Calderdale 10,300 10.3
Havering 14,100 10.3
Merthyr Tydfil 2,800 10.2
Rhondda Cynon Taff 11,000 10.2
North Lanarkshire 16,500 10.2
South Tyneside 6,200 10.2
Harrogate 7,700 10.2
Wolverhampton 10,900 10.0
West Lothian 8,400 9.7
Cheshire East 18,600 9.7
Northumberland 13,300 9.7
Stirling 4,500 9.7
Basingstoke and Deane 8,700 9.6
West Dunbartonshire 4,100 9.6
Brighton and Hove 15,700 9.5
Redcar and Cleveland 5,700 9.5
Glasgow City 27,100 9.4
Bracknell Forest 6,300 9.4
North Ayrshire 5,000 9.4
Flintshire 7,300 9.4
Bexley 13,000 9.4
Bromley 15,800 9.4
Wakefield 14,800 9.4
Cherwell 8,100 9.3
Peterborough 8,700 9.3
Southend-on-Sea 8,800 9.2
Slough 6,100 9.2
Cheltenham 5,700 9.1
Solihull 9,300 9.1
Huntingdonshire 8,400 9.0
Caerphilly 7,800 9.0
Darlington 4,500 8.9
Clackmannanshire 1,900 8.9
Walsall 11,600 8.9
Rushcliffe 5,800 8.7
Telford and Wrekin 7,400 8.7
Leicester 15,200 8.5
Monmouthshire 3,900 8.5
Nottingham 13,300 8.5
Thurrock 7,700 8.5
Colchester 8,500 8.4
Sandwell 12,300 8.4
Bridgend 5,300 8.3
Barnsley 9,900 8.3
North Somerset 8,700 8.3
Hillingdon 14,300 8.3
South Lanarkshire 12,800 8.3
Midlothian 3,900 8.3
Blackburn with Darwen 5,300 8.2
West Berkshire 6,900 8.1
Kingston upon Hull, City of 10,100 8.1
East Dunbartonshire 4,100 8.0
Stockton-on-Tees 7,500 8.0
South Gloucestershire 12,300 7.9
Hartlepool 3,100 7.9
Waltham Forest 12,800 7.8
Torfaen 3,200 7.7
Newport 5,500 7.7
Warwick 5,900 7.7
Halton 4,300 7.6
Bath and North East Somerset 7,300 7.6
Birmingham 39,600 7.6
Wrexham 5,200 7.5
Falkirk 5,700 7.5
Charnwood 6,700 7.4
Stockport 10,700 7.4
Milton Keynes 10,800 7.3
Knowsley 5,200 7.3
Sefton 9,300 7.3
York 8,200 7.3
Leeds 27,500 7.3
Coventry 14,000 7.2
Swansea 8,100 7.2
East Renfrewshire 3,400 7.2
Bradford 17,200 7.1
Wycombe 6,600 7.1
Stratford-on-Avon 4,500 6.9
Gateshead 6,900 6.9
Croydon 13,700 6.8
Sheffield 19,900 6.8
Inverclyde 2,200 6.8
Barnet 13,600 6.7
Bolton 8,300 6.6
Bury 5,700 6.6
Newcastle upon Tyne 8,800 6.6
Rochdale 6,400 6.5
Kingston upon Thames 6,800 6.5
Central Bedfordshire 10,200 6.4
Windsor and Maidenhead 5,000 6.4
Swindon 7,700 6.4
Aberdeen City 7,200 5.9
South Ayrshire 2,900 5.9
Renfrewshire 5,200 5.8
Wokingham 4,800 5.7
Vale of Glamorgan 3,400 5.7
Cheshire West and Chester 10,300 5.7
Wirral 8,500 5.7
Derby 6,700 5.5
Trafford 6,600 5.4
East Lothian 2,900 5.2
Barking and Dagenham 5,200 5.2
Bournemouth 5,000 5.2
Reading 5,000 5.1
Liverpool 11,800 5.1
Warrington 4,900 5.0
Salford 6,200 5.0
Manchester 12,700 4.8
Redbridge 7,100 4.7
Bristol, City of 12,200 4.6
City of Edinburgh 13,900 4.6
Cardiff 7,800 4.1
North Tyneside 3,100 3.3
Reigate and Banstead # #
Mole Valley # #
South Oxfordshire # #
Epsom and Ewell # #
Elmbridge ! !
Vale of White Horse # #
Oxford # #
Tunbridge Wells # #
Thanet # #
Swale # #
Sevenoaks # #
Folkestone and Hythe # #
Weymouth and Portland # #
Guildford # #
Stroud # #
Spelthorne # #
East Dorset # #
North Devon # #
South Hams # #
Exeter # #
Tewkesbury # #
Mendip # #
Sedgemoor # #
Isles of Scilly - -
West Somerset # #
Worthing ! !
Mid Sussex # #
West Devon # #
Purbeck # #
Crawley # #
Chichester # #
Arun # #
Adur # #
Woking # #
Cotswold # #
Shetland Islands ! !
Tandridge # #
Surrey Heath # #
Gloucester # #
Runnymede ! !
Christchurch ! !
Orkney Islands # #
Waverley # #
City of London ! !
Dartford # #
South Northamptonshire # #
Wellingborough # #
Broxtowe # #
Gedling # #
Cannock Chase ! !
East Staffordshire # #
Lichfield # #
South Staffordshire # #
Stafford # #
Tamworth # #
North Warwickshire # #
Nuneaton and Bedworth # #
East Northamptonshire # #
Rugby # #
Malvern Hills # #
Redditch # #
Worcester # #
Wychavon # #
Wyre Forest # #
Cambridge # #
East Cambridgeshire # #
Fenland # #
South Cambridgeshire # #
Braintree # #
Brentwood ! !
Chelmsford # #
Bromsgrove # #
Epping Forest # #
Daventry ! !
West Lindsey # #
Copeland # #
Burnley # #
Fylde # #
Hyndburn ! !
Pendle # #
Preston # #
Rossendale # #
South Ribble # #
West Lancashire # #
Wyre # #
Richmondshire # #
Ryedale # #
Corby # #
Rutland # #
Bolsover # #
Derbyshire Dales # #
High Peak # #
North East Derbyshire # #
South Derbyshire # #
Melton # #
North West Leicestershire # #
Oadby and Wigston ! !
Boston # #
North Kesteven # #
South Holland # #
South Kesteven # #
Amber Valley # #
Harlow # #
Maldon ! !
Rochford ! !
Tower Hamlets # #
Wandsworth # #
Westminster # #
Brent # #
Ealing # #
Enfield # #
Greenwich # #
Harrow # #
Hounslow # #
Merton # #
Richmond upon Thames # #
Sutton # #
Southwark # #
Chiltern # #
Eastbourne # #
Hastings # #
Lewes # #
Rother # #
East Hampshire ! !
Eastleigh # #
Fareham # #
Gosport # #
Hart # #
Havant # #
Rushmoor # #
Winchester # #
South Bucks # #
Newham # #
Lewisham # #
Lambeth # #
Tendring ! !
Uttlesford # #
Broxbourne ! !
Dacorum # #
East Hertfordshire # #
Hertsmere # #
North Hertfordshire # #
St Albans # #
Stevenage # #
Three Rivers # #
Watford # #
Welwyn Hatfield # #
Broadland # #
Great Yarmouth ! !
Norwich # #
Babergh # #
Forest Heath # #
Ipswich # #
Mid Suffolk # #
St Edmundsbury # #
Waveney # #
Camden # #
Hackney # #
Hammersmith and Fulham # #
Haringey # #
Islington # #
Kensington and Chelsea ! !
Gravesham # #
Source: ONS annual population survey [Jan 2024-Dec 2024]

!   Estimate is not available since sample size is disclosive (see definitions)
-   The sample size is too small to allow data to be produced (see definitions)
#   Sample size too small for reliable estimate (see definitions)

Notes:   Numbers and % are for those of 16+
  % is a proportion of all persons in employment

Definitions and Explanations

Labour Supply

Labour supply consists of people who are employed, as well as those people defined as unemployed or economically inactive, who can be considered to be potential labour supply. Information in this section relates to the characteristics of people living in an area.

Most labour supply data comes from the Annual Population Survey (APS). The APS is the largest regular household survey in the United Kingdom. It includes data from the Labour Force Survey (LFS), plus further sample boosts in England, Wales and Scotland. The survey includes data from a sample of around 256,000 people aged 16 and over.

As APS estimates are based on samples, they are subject to sampling variability. This means that if another sample for the same period were drawn, a different estimate might be produced. In general, the larger the number of people in a sample, the smaller the variation between estimates. Estimates for smaller areas such as local authorities are therefore less reliable than those for larger areas such as regions. When the sample size is too small to produce reliable estimates, the estimates are replaced with a #.

Economically Active
Economically active
People who are either in employment or unemployed.
Economic activity rate
People, who are economically active, expressed as a percentage of all people.
In employment
People who did some paid work in the reference week (whether as an employee or self employed); those who had a job that they were temporarily away from (eg, on holiday); those on government-supported training and employment programmes; and those doing unpaid family work.
Employment rate
The number of people in employment expressed as a percentage of all people aged 16-64.
Employees and self employed
The division between employees and self employed is based on survey respondents' own assessment of their employment status. The percentage show the number in each category as a percentage of all people aged 16-64. The sum of employees and self employed will not equal the in employment figure due to the inclusion of those on government-supported training and employment programmes, and those doing unpaid family work in the latter.
Unemployed
Refers to people without a job who were available to start work in the two weeks following their interview and who had either looked for work in the four weeks prior to interview or were waiting to start a job they had already obtained.
Unemployed
Refers to people without a job who were available to start work in the two weeks following their interview and who had either looked for work in the four weeks prior to interview or were waiting to start a job they had already obtained.
Model-based unemployed:
As unemployed form a small percentage of the population, the APS unemployed estimates within local authorities are based on very small samples so for many areas would be unreliable. To overcome this ONS has developed a statistical model that provides better estimates of total unemployed for unitary authorities and local authority districts (unemployment estimates for counties are direct survey estimates). Model-based estimates are not produced for male or female unemployed.
The model-based estimate improves on the APS estimate by borrowing strength from the Claimant Count to produce an estimate that is more precise (i.e. has a smaller confidence interval). The number of people measured by the Claimant Count is not itself a measure of unemployment but is strongly correlated with unemployment, and, as it is an administrative count, is known without sampling error. The gain in precision is greatest for areas with smaller sample sizes.
Unemployment rate
Unemployed as a percentage of the economically active population.
Economically inactive
People who are neither in employment nor unemployed. This group includes, for example, all those who were looking after a home or retired.
Occupation
Occupations are classified according to the Standard Occupation Classification 2010. Descriptions of the job titles included in each code are available in the SOC manuals.
Qualifications

Qualifications data are only be available from the APS for calendar year periods, for example, Jan to Dec 2005. The variables show the total number of people who are qualified at a particular level and above, so data in this table are not additive. Separate figures for each NVQ level are available in the full Annual Population Survey data set (wizard/advanced query).

The trade apprenticeships are split 50/50 between NVQ level 2 and 3. This follows ONS policy for presenting qualifications data in publications. Separate counts for trade apprenticeships can be obtained from the full APS data set (wizard/advanced query).

No qualifications
No formal qualifications held.
Other qualifications
includes foreign qualifications and some professional qualifications.
NVQ 1 equivalent
e.g. fewer than 5 GCSEs at grades A-C, foundation GNVQ, NVQ 1, intermediate 1 national qualification (Scotland) or equivalent.
NVQ 2 equivalent
e.g. 5 or more GCSEs at grades A-C, intermediate GNVQ, NVQ 2, intermediate 2 national qualification (Scotland) or equivalent.
NVQ 3 equivalent
e.g. 2 or more A levels, advanced GNVQ, NVQ 3, 2 or more higher or advanced higher national qualifications (Scotland) or equivalent.
NVQ 4 equivalent and above
e.g. HND, Degree and Higher Degree level qualifications or equivalent.
Earnings by Residence

The figures show the median earnings in pounds for employees living in the area who are on adults rates of pay and whose pay was not affected by absence. Figures for earnings come from the Annual Survey of Hours and Earnings (ASHE). The ASHE is based on a 1 per cent sample of employees, information on whose earnings and hours is obtained from employers. The survey does not cover self-employed. Information relates to a pay period in April.

The earnings information collected relates to gross pay before tax, national insurance or other deductions, and excludes payments in kind. It is restricted to earnings relating to the survey pay period and so excludes payments of arrears from another period made during the survey period; any payments due as a result of a pay settlement but not yet paid at the time of the survey will also be excluded.


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Source: Office for National Statistics

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