Integrated Household Panel Survey 2010-2013-2016-2019 (Long-Term Panel, 102 EAs)

Malawi, 2010 - 2019

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Reference ID

MWI_2010-2019_IHPS_v06_M

DOI

https://doi.org/10.48529/q5q1-2a34

Producer(s)

National Statistical Office (NSO)

Collection(s)

Living Standards Measurement Study (LSMS)

Metadata

Documentation in PDF DDI/XML JSON

Created on

Dec 07, 2020

Last modified

Jul 30, 2021

Page views

853710

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31769

Occupation code of unpaid apprenticeship over the past 12 months (hh_e47b)

Data file: hh_mod_e_10

Overview

Valid: 21

Invalid: 7661

Type: Discrete

Decimal: 0

Start: 326

End: 327

Width: 2

Range: 2 - 99

Format: Numeric

Questions and instructions

Categories

Value	Category	Cases
2	Architects, Surveyors and related workers	0	0%
3	Engineers and related technicians	0	0%
5	Life scientists and related technicians	0	0%
6	Medical, dental, and related workers	2	9.5%
7	Veterinary related workers	1	4.8%
8	Statisticians, mathematicians, and related technician	0	0%
9	Economists	0	0%
11	Accountants	0	0%
12	Jurists, legal professionals	0	0%
13	Teachers	2	9.5%
14	Workers in religion	3	14.3%
15	Writers. Authors, journalists, critics and related writers	0	0%
16	Sculptors, painters, photographers, and cameramen	0	0%
17	Composers and performing artists	0	0%
18	Athletics, sportsmen and related workers. Athletes, etc	0	0%
19	Professional, technical, and related work	0	0%
20	Legislative Officials and government senior administrators. Legislative officials	0	0%
21	Managers	0	0%
22	Traditional Leaders	0	0%
30	Clerical supervisors	0	0%
31	Government executive officials	0	0%
32	Typists, secretaries	0	0%
33	Bookkeepers, cashiers and related workers	0	0%
34	Computer operators	0	0%
35	Transport and communications supervisor	0	0%
36	Transport conductors	0	0%
37	Mail distribution clerks	0	0%
38	Telephone and telegraph operators	0	0%
39	Clerical related workers not elsewhere classified	0	0%
40	Managers (wholesale and retail trade)	0	0%
41	Working proprietors (wholesale and retail)	0	0%
42	Sales supervisors and buyers	0	0%
44	Auctioneers and salesmen of insurance, real estate, securities, and business services	0	0%
45	Sales agents, shop assistants, and related workers	1	4.8%
49	Sales workers not elsewhere classified	0	0%
50	Managers (food and lodging services)	0	0%
52	Housekeeping and related service supervisors	0	0%
53	Cooks, waiters, bartenders, and related	1	4.8%
54	Maids and related housekeeping service	0	0%
55	Building caretakers, cleaners, and related workers	0	0%
56	Launderers, drycleaners and pressers	0	0%
57	Hairdressers, barbers, beauticians and	1	4.8%
58	Security, protective service workers	0	0%
59	Service workers not elsewhere classifie	0	0%
60	Farm managers and supervisors	0	0%
61	Farmers	0	0%
62	Agriculture and animal husbandry worker	1	4.8%
63	Forestry workers	0	0%
64	Fishermen, hunters and related workers	0	0%
70	Production supervisors and general supervisors	0	0%
71	Miners, quarrymen, well drillers and related workers	0	0%
72	Metal processors	0	0%
73	Wood preparation workers	0	0%
74	Chemical processors and related workers	1	4.8%
75	Spinners, weavers, knitters, dyers, and textile products	1	4.8%
77	Food and beverage processors	0	0%
78	Tobacco preparers and tobacco product makers	0	0%
79	Tailors, dressmakers, sewers, upholster	0	0%
80	Shoemakers and leather goods makers	1	4.8%
81	Cabinetmakers and related woodworkers	0	0%
83	Blacksmiths, toolmakers and machine tool operators	0	0%
84	Machinery workers, machine assemblers,	0	0%
85	Electrical workers and related electric workers	0	0%
86	Broadcasting station and sound equipments	1	4.8%
87	Plumbers, welders, sheet metal and structural workers	1	4.8%
90	Rubber and plastics product makers	0	0%
92	Printers and related workers	0	0%
93	Painters	0	0%
94	Production and related workers not else	0	0%
95	Bricklayers, carpenters and other const	4	19%
96	Stationary engine and related equipment	0	0%
97	Material handling and related equipment	0	0%
98	Transport equipment operators	0	0%
99	Labourers not elsewhere classified	0	0%
Sysmiss		7661

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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