nomis - official census and labour market statistics

5 Skilled trades occupations
Great Britain


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

!   Estimate is not available since sample size is disclosive
-   The sample size is too small to allow Labour Force Survey data to be produced
#   Sample size too small for reliable estimate

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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