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    Home / Food and Agriculture Microdata Catalogue / AGRICULTURAL-SURVEYS / MWI_2004-2005_IHS-W2_V01_EN_M_V01_A_OCS / variable [F9]
agricultural-surveys

Second Integrated Household Survey 2004-2005

Malawi, 2004 - 2005
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Reference ID
MWI_2004-2005_IHS-W2_v01_EN_M_v01_A_OCS
Producer(s)
National Statistical Office, The World Bank
Collections
Agricultural Surveys
Metadata
Documentation in PDF DDI/XML JSON
Created on
Sep 15, 2020
Last modified
Nov 08, 2022
Page views
87431
Downloads
1664
  • Study Description
  • Data Dictionary
  • Downloads
  • Get Microdata
  • Data files
  • sec_a
  • sec_aa
  • sec_ab
  • sec_ac
  • sec_ad
  • sec_b
  • sec_c
  • sec_d
  • sec_e
  • sec_f
  • sec_g
  • sec_h
  • sec_i
  • sec_j1
  • sec_j2
  • sec_k
  • sec_l
  • sec_m1
  • sec_m2
  • sec_n
  • sec_o
  • sec_p
  • sec_q1
  • sec_q2
  • sec_r
  • sec_s
  • sec_t
  • sec_u
  • sec_v
  • sec_w
  • sec_x
  • sec_y
  • sec_z1
  • sec_z2
  • Filters
  • ihs2_ag
  • ihs2_anthro
  • ihs2_ea_data
  • ihs2_exp
  • ihs2_household
  • ihs2_individ
  • ihs2_pov
  • mod_a
  • mod_b
  • mod_c
  • mod_d
  • mod_e
  • mod_f
  • mod_g
  • mod_g50better
  • mod_g50worse
  • mod_h

Main employed occupation over the past 12 months (e19)

Data file: sec_e

Overview

Valid: 3920
Invalid: 48782
Type: Discrete
Decimal: 0
Start: 145
End: 146
Width: 2
Range: 1 - 99
Format: Numeric

Questions and instructions

Categories
Value Category Cases
1 Physical scientists and related technicians 0
0%
2 Architects 2
0.1%
3 Engineers and related technicians 26
0.7%
4 Aircraft and ships’ officers 0
0%
5 Life scientists and related technicians 2
0.1%
6 Medical, dental, and related workers 63
1.6%
7 Veterinary related workers 3
0.1%
8 Statisticians, mathematicians, and related technicians 1
0%
9 Economists 4
0.1%
11 Accountants 31
0.8%
12 Jurists, legal professionals 3
0.1%
13 Teachers 257
6.6%
14 Workers in religion 20
0.5%
15 Authors, journalists and related writers 0
0%
16 Sculptors, painters, photographers, and related creative artists 2
0.1%
17 Composers and performing artists 2
0.1%
18 Athletes, sportsmen, and related workers 0
0%
19 Professional, technical, and related workers not elsewhere classified 79
2%
20 Legislative officials and government administrators 13
0.3%
21 Managers 32
0.8%
30 Clerical supervisors 21
0.5%
31 Government executive officials 3
0.1%
32 Typists, secretaries 31
0.8%
33 Bookkeepers, cashiers and related workers 34
0.9%
34 Computer operators 3
0.1%
35 Transport and communications supervisors 2
0.1%
36 Transport conductors 7
0.2%
37 Mail distribution clerks 8
0.2%
38 Telephone and telegraph operators 15
0.4%
39 Clerical related workers not elsewhere classified 122
3.1%
40 Managers (wholesale and retail trade) 3
0.1%
41 Working proprietors (wholesale and retail trade) 4
0.1%
42 Sales supervisors and buyers 11
0.3%
43 Technical sales agents and manufacturers’ agents 0
0%
44 Insurance, real estate, securities and business services sales agents 0
0%
45 Sales agents, shop assistants, and related workers 96
2.4%
49 Sales workers not elsewhere classified 66
1.7%
50 Managers (food and lodging services) 1
0%
51 Working proprietors (food and lodging services) 0
0%
52 Housekeeping and related service supervisors 27
0.7%
53 Cooks, waiters, bartenders, and related workers 79
2%
54 Maids and related housekeeping service workers not elsewhere classified 192
4.9%
55 Building caretakers, cleaners, and related workers 74
1.9%
56 Launderers, drycleaners and pressers 4
0.1%
57 Hairdressers, barbers, beauticians and related workers 4
0.1%
58 Security, protective service workers 394
10.1%
59 Service workers not elsewhere classified 78
2%
60 Farm managers and supervisors 8
0.2%
61 Farmers 201
5.1%
62 Agriculture and animal husbandry workers 191
4.9%
63 Forestry workers 44
1.1%
64 Fishermen, hunters and related workers 16
0.4%
70 Production supervisors and general supervisors 18
0.5%
71 Miners, quarrymen, well drillers and related workers 7
0.2%
72 Metal processors 1
0%
73 Wood preparation workers 13
0.3%
74 Chemical processors and related workers 3
0.1%
75 Spinners, weavers, knitters, dyers, and related workers 11
0.3%
76 Tanners, leather workers 0
0%
77 Food and beverage processors 33
0.8%
78 Tobacco preparers and tobacco product makers 17
0.4%
79 Tailors, dressmakers, sewers, upholsterers, and related workers 25
0.6%
80 Shoemakers and leather goods makers 0
0%
81 Cabinetmakers and related woodworkers 3
0.1%
82 Stone cutters and carvers 0
0%
83 Blacksmiths, toolmakers and machine tool operators 6
0.2%
84 Machinery workers, machine assemblers, and precision instrument makers (except electrical) 34
0.9%
85 Electrical workers and related electrical and electronics workers 17
0.4%
86 Broadcasting station and sound equipment operators and cinema projectionists 1
0%
87 Plumbers, welders, sheet metal and structural metal preparers and erectors 30
0.8%
88 Jewelers and precious metal workers 0
0%
89 Glass formers, potters and related workers 0
0%
90 Rubber and plastics product makers 20
0.5%
91 Paper and paper board products makers 0
0%
92 Printers and related workers 3
0.1%
93 Painters 5
0.1%
94 Production and related workers not elsewhere classified 15
0.4%
95 Bricklayers, carpenters and other construction workers 273
7%
96 Stationary engine and related equipment operators 15
0.4%
97 Material handling and related equipment operators, dockers and freight handlers 7
0.2%
98 Transport equipment operators 107
2.7%
99 Labourers not elsewhere classified 977
24.9%
Sysmiss 48782
Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.
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