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Data Provider: Welsh Government National Statistics Employee jobs in tourism-related industries by area, work pattern and gender

Archived (English only) – No longer updated.

None
Boundary typeFrozen or current local authority boundaries[Filtered]
YearEmployee jobs figures are as at December of each year until 2005, from 2006 onwards they are as of September each year.[Filtered]
Measure1
[Collapse]Work pattern[Filter]
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Work pattern 1
[Collapse]Gender[Filter]
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Gender 1
[Collapse]Area[Filter]
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Area 1
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[Collapse]PersonsClick here to sortPersons[Collapse]PersonsClick here to sortPersons
Click here to sortMalesClick here to sortFemalesClick here to sortMalesClick here to sortFemales
[Expand]Great Britain577,500470,1001,047,600428,000705,5001,133,5002,181,100
[Collapse]Wales24,60018,10042,70020,10038,90058,900101,600
WalesIsle of Anglesey4003007003008001,2001,900
Gwynedd1,5001,1002,6001,0002,2003,2005,800
Conwy1,5001,2002,7001,2002,4003,6006,300
Denbighshire1,0007001,7006001,4002,0003,700
Flintshire1,0008001,8008001,6002,4004,200
Wrexham8006001,4007001,3002,0003,400
Powys1,2009002,1001,1002,5003,6005,700
Ceredigion8006001,4007001,2001,9003,300
Pembrokeshire1,4001,1002,5001,1002,4003,5006,000
Carmarthenshire1,1008001,9001,0001,9002,9004,800
Swansea2,1001,5003,6001,9003,1005,0008,600
Neath Port Talbot7005001,2006001,3001,9003,100
Bridgend1,0007001,7008001,6002,3004,000
The Vale of Glamorgan1,0006001,6006001,4002,0003,700
Cardiff4,1003,0007,1003,3005,3008,60015,700
Rhondda, Cynon, Taff1,2009002,1009001,8002,7004,800
Merthyr Tydfil3002005003006009001,500
Caerphilly7005001,2008001,6002,4003,600
Blaenau Gwent2002004002005007001,100
Torfaen4003007004007001,1001,800
Monmouthshire8006001,4007001,4002,1003,500
Newport1,3001,1002,4001,0001,8002,8005,200

Metadata

Econ0003: Employee jobs in tourism-related industries by gender and pattern of work

ETES3, Welsh Assembly Government

Last update: 16 Dec 2009
Was added to StatsWales: 21 Dec 2009

Next Update: No longer updated.
Will be added to StatsWales by: Dec 2010

Source: Annual Business Inquiry, Office for National Statistics
Contact: economic.stats@wales.gsi.gov.uk

These data are counts of full and part time civilian jobs of employees in tourism-related industries, by gender, paid by employers who run a Pay-As-You-Earn scheme and/or are registered for VAT.

The definition of 'tourism-related industries' is that adopted by the Office for National Statistics in 'Labour Market Trends', namely Standard Industrial Classification (SIC) groups 551 to 554, 633 and 925 to 927. It includes, for example, employee jobs in hotels, restaurants, bars, libraries, museums and sport and other recreation activities.

The self-employed, HM forces, homeworkers and private servants are excluded.

The 2006 ABI results are subject to a number of discontinuities with an overall downward impact compared to results for previous years. Details can be found via the following link: https://www.nomisweb.co.uk/articles/news/files/ABI%202006%20discontinuities.doc. It is not possible to provide an estimate for the scale of the discontinuity in Wales.

The figures are taken from the Annual Business Inquiry (ABI) run by the Office for National Statistics (ONS). As the results come from a survey, the results are sample-based estimates and therefore subject to differing degrees of sampling variability, i.e. the true value for any measure lies in a differing range about the estimated value. This range or sampling variability increases as the detail in the data increases, for example individual industry data are subject to higher variability than the all industries data.

The data themselves are to be found on the National On-line Manpower Information System (or NOMIS - see www.nomisweb.co.uk). The NOMIS system provides the local authority data on two bases, one using frozen boundaries and one using current boundaries. The former is often used to exclude the effect of boundary changes in time series analysis, and is the dataset that the NOMIS system tends to lead with. The latter is used to provide figures which show the data according to the exact boundaries in each of the years given. Data on both bases are available within this dataset.

Figures are rounded to the nearest 100 and so there may be some apparent slight discrepancies between the sum of constituent items and the totals as shown. Some data are suppressed for disclosure reasons.

Tourism

Name

Econ0003