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    Home / Central Data Catalog / PER_2011_L2L_V01_M / variable [F3]
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The World Bank Listening to LAC (L2L) Pilot 2011

Peru, 2011 - 2012
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Reference ID
PER_2011_L2L_v01_M
DOI
https://doi.org/10.48529/0b6h-s890
Producer(s)
World Bank
Metadata
Documentation in PDF DDI/XML JSON
Created on
Jul 08, 2014
Last modified
Jul 08, 2014
Page views
54348
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  • World_Bank_Peru_L2L_HH_Roster
  • World_Bank_Peru_L2L_HH_All_Modes

Q41 [Enaho 505]. What was the main activity you performed last week (Q41)

Data file: World_Bank_Peru_L2L_HH_All_Modes

Overview

Valid: 1260
Invalid: 398
Type: Discrete
Decimal: 0
Start: 235
End: 237
Width: 3
Range: 1 - 101
Format: Numeric

Questions and instructions

Categories
Value Category Cases
1 Army 0
0%
2 Police Force 2
0.2%
11 Public workers: Executive and Legislative Sectors 1
0.1%
12 Enterprise Directors (3 or less directors) 0
0%
13 Enterprise Directors (3 or more directors) 0
0%
14 Mahaners of Small Companies 0
0%
21 Professionals related of Physics, Chemistry and Mathematics 1
0.1%
22 Professionals related of Physics, Chemistry and Mathematics 0
0%
23 Professionals related to Sciences 11
0.9%
24 Professors (Teachers and Educators) 52
4.1%
25 Professionals related to Law, Business, Economics and Manage 8
0.6%
26 Professionals related to Law, Business, Economics and Manage 1
0.1%
27 Professionals related to Arts, Sculpture, Music and others 6
0.5%
28 Other many professionals 3
0.2%
31 Mid- level technicians relates to Physics, Chemistry and Mat 4
0.3%
32 Specialized equipment operators, photographers and related 1
0.1%
33 Technicians and Instpectors related to Shipping and Aviation 0
0%
34 Mid-level technicians and workers 1
0.1%
35 Mid-level technicians and workers 7
0.6%
36 Sales Manager and Technicians related to Business and Accoun 5
0.4%
37 Agents of Administrative Services 2
0.2%
38 Assistants and Support in Administration 6
0.5%
39 Artist and elated workers of entertainment, athletes 4
0.3%
41 Heads of Administrative Units 8
0.6%
42 Administrative and related employees 35
2.8%
43 Head of Transport Services and related workers 3
0.2%
44 Postal Managers; library employees 0
0%
45 Cashiers, receptionist and related workers 10
0.8%
46 Office employees and other field operations officers 9
0.7%
51 Staff to passengers 2
0.2%
52 Chief and Stewards 35
2.8%
53 Personal Care workers 1
0.1%
54 Hairdressers, beauty and related workers 6
0.5%
55 Other service workers 5
0.4%
56 Protective and Safety services workers 17
1.3%
57 Wholesale and retail traders 186
14.8%
58 Merchants and Vendors unclassified 2
0.2%
61 Farmers and other skilled workers 278
22.1%
62 Skilled workers related to livestock and breeders 30
2.4%
63 Anglers, hunters and trappers 1
0.1%
64 Agricultural workers 26
2.1%
71 Miners, quarrymen, borers and related workers 2
0.2%
72 Wood processing and manufacturing workers 7
0.6%
73 Chemical treatments and related workers 0
0%
74 Spinners, weavers, dyers and related workers 15
1.2%
75 Tanning and skin treatment workers 0
0%
76 Manufacturing of food and beverages workers 19
1.5%
77 Shoes, tailors, dressmakers, furriers and carpenters 29
2.3%
78 Mechanics, metals and electrical workers 29
2.3%
79 Tunners, and editors of machinery and instruments 2
0.2%
81 Manufacturing of rubber and plastic rubbers 2
0.2%
82 Workers related to manufacturing of products paper made and 0
0%
83 Graphic arts workers 2
0.2%
84 Other manufacturing workers unclassified 2
0.2%
85 Painters 3
0.2%
86 Construction workers 51
4%
87 Farm machinery operators 1
0.1%
88 transport drivers and related occupations 45
3.6%
91 Street vendors 46
3.7%
92 Street vendors 9
0.7%
93 Collectors and Sellers 2
0.2%
94 Domestic staff, clening, ironing and other related workers 57
4.5%
95 Messenger, delivery, doorkeepers and related workers 4
0.3%
96 Garbage collectos and other related workers 7
0.6%
97 Agricultural, forestry, fishing and other related workers 106
8.4%
98 Don't know 5
0.4%
99 NA/Refused 46
3.7%
100 Mining, electricity, gas and water related workers 0
0%
101 Occupation not specified 0
0%
Sysmiss 398
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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