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Variable

UK Data Service variable record for:

Quarterly Labour Force Survey Household Dataset, April - June, 2017

Variable Details

VariableINDD07L
LabelIndustry division in last job (2 digits)
Responses
1 01 Crop, animal production, hunting 74
2 02 Forestry and logging 8
3 03 Fishing and aquaculture 2
5 05 Mining of coal and lignite 5
6 06 Extraction crude petroleum and gas 6
7 07 Mining of metal ores 1
8 08 Other mining and quarrying 9
9 09 Mining support service activities 27
10 10 Manufacture of food products 124
11 11 Manufacture of beverages 16
12 12 Manufacture of tobacco products 2
13 13 Manufacture of textiles 23
14 14 Manufacture of wearing apparel 12
15 15 Manufacture of leather and related 2
16 16 Manufacture wood and wood products 21
17 17 Manufacture paper & paper products 26
18 18 Printing and recorded media 56
19 19 Manufacture of coke & refined petrol 26
20 20 Manufacture of chemicals 30
21 21 Manufacture of pharmaceuticals 38
22 22 Manufacture rubber plastic products 51
23 23 Manuf non-metallic mineral products 38
24 24 Manufacture of basic metals 43
25 25 Manuf fab metal prods, ex machinery 83
26 26 Manuf computr, electronic & optical 69
27 27 Manufacture of electrical equipment 33
28 28 Manuf of machinery n.e.c. 110
29 29 Manuf vehicles and trailers 67
30 30 Manufacture of other transport 60
31 31 Manufacture of furniture 25
32 32 Other manufacturing 47
33 33 Repair and installation of machinery 85
35 35 Electricity, gas and air cond supply 57
36 36 Water collectn, treatment & supply 22
37 37 Sewerage 5
38 38 Waste collectn, treatment, disposal 49
39 39 Remediation & other waste managmnt 8
41 41 Construction of buildings 292
42 42 Civil engineering 134
43 43 Specialised construction activities 310
45 45 Wholesale retail trade repair vehcls 134
46 46 Wholesale trade, except vehicles 297
47 47 Retail trade, except vehicles 1188
49 49 Land transport inc via pipelines 289
50 50 Water transport 23
51 51 Air transport 11
52 52 Warehousing & support for transport 137
53 53 Postal and courier activities 141
55 55 Accommodation 142
56 56 Food and beverage service activities 550
58 58 Publishing activities 54
59 59 Film, video, television sound record 19
60 60 Programming and broadcasting 16
61 61 Telecommunications 64
62 62 Computer programming and consultancy 118
63 63 Information service activities 7
64 64 Financial ex insurance and pension 159
65 65 Insurance, reinsurance and pension 73
66 66 Auxiliary to financial and insurance 124
68 68 Real estate activities 130
69 69 Legal and accounting activities 121
70 70 Head offices; management consultancy 125
71 71 Architerctural and engineering 175
72 72 Scientific research and development 34
73 73 Advertising and market research 43
74 74 Other prof, scientific and technical 77
75 75 Vetinary activities 22
77 77 Rental and leasing activities 41
78 78 Employment activities 63
79 79 Travel, tour operator, reservation 28
80 80 Security & investigation activities 60
81 81 Services to buildings and landscape 281
82 82 Office admin, support and other 96
84 84 Public admin, defence, social sec 727
85 85 Education 1371
86 86 Human health activities 742
87 87 Residential care activities 479
88 88 Social work without accommodation 408
90 90 Creative, arts and entertainment 36
91 91 Libraries, archives, museums 53
92 92 Gambling and betting activities 36
93 93 Sports, amusement, recreation 148
94 94 Activities membership organisations 137
95 95 Repair of computers and other goods 38
96 96 Other personal service activities 149
97 97 Domestic personnel 29
98 98 Undifferentiated goods 4
99 99 Extraterritorial organisations 26
-9 Does not apply 80924
-8 No answer 55
DisclaimerPlease note that these frequencies are not weighted.
LocationQuarterly Labour Force Survey Household Dataset, April - June, 2017
UniverseHouseholds in Great Britain and Northern Ireland.;Households;National
SamplingSample drawn from main LFS data. See documentation for details.
Study TypeUntil 2015, data were produced from the April-June and October-December quarters of the main LFS each year. From January 2015, the household datasets are produced for each quarter.
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