Multiple Indicator Cluster Survey 2013-2014
Egypt, Arab Rep., 2013 - 2014
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Reference ID
EGY_2013_MICS_v01_M
Producer(s)
United Nations Children’s Fund, El-Zanaty & Associates, Ministry of Health and Population
Collection(s)
Metadata
Created on
Dec 01, 2016
Last modified
Dec 01, 2016
Page views
60183
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Husband's occupation, kind of work he mainly do (ECO20)
Data file: wm
Overview
Valid:
5324
Invalid:
535
Minimum:
1
Maximum:
95
Type:
Continuous
Decimal:
0
Start:
499
End:
500
Width:
2
Range:
1 - 96
Format:
Numeric
Questions and instructions
Literal question
What is your husband’s occupation, that is, what kind of work he is mainly do?
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 1 | Army | 12 |
0.2%
|
| 11 | Law | 0 |
0%
|
| 12 | Government | 6 |
0.1%
|
| 13 | Project managers in Gov And Public sector | 11 |
0.2%
|
| 14 | Project managers in private sector | 38 |
0.7%
|
| 15 | Other department managers | 40 |
0.8%
|
| 16 | Technical managers | 15 |
0.3%
|
| 17 | General managers | 6 |
0.1%
|
| 18 | General managers in private sevtor | 1 |
0%
|
| 21 | Specialists in physical science | 2 |
0%
|
| 22 | Specialists in mathematics, statistics | 7 |
0.1%
|
| 23 | Engineers | 34 |
0.6%
|
| 24 | Specialists in natural science | 23 |
0.4%
|
| 25 | Doctors | 13 |
0.2%
|
| 26 | Teachers | 261 |
4.9%
|
| 29 | Technician | 170 |
3.2%
|
| 31 | Technician in physical science | 7 |
0.1%
|
| 32 | Technician in mathematics, statistics | 8 |
0.2%
|
| 33 | Technician in engineering | 32 |
0.6%
|
| 34 | Technician in natural science | 13 |
0.2%
|
| 35 | Assistant doctors | 26 |
0.5%
|
| 36 | Assistant teachers | 2 |
0%
|
| 39 | Brokers, Insurace, commissary | 51 |
1%
|
| 41 | Secertary | 232 |
4.4%
|
| 42 | Accounting clerks | 9 |
0.2%
|
| 43 | Statistical clerks | 4 |
0.1%
|
| 44 | Tellers, telephone operator, tourism clerks | 24 |
0.5%
|
| 45 | House wife | 0 |
0%
|
| 46 | Don't work | 2 |
0%
|
| 47 | Retired | 2 |
0%
|
| 48 | Student | 0 |
0%
|
| 49 | Other clerikal jobs | 12 |
0.2%
|
| 51 | Services | 381 |
7.2%
|
| 52 | Police | 285 |
5.4%
|
| 53 | Sales people | 392 |
7.4%
|
| 54 | Soldier in army | 2 |
0%
|
| 61 | Farmer in his land | 191 |
3.6%
|
| 62 | Farmers | 714 |
13.4%
|
| 63 | Hunters | 40 |
0.8%
|
| 64 | Selling Sheep | 46 |
0.9%
|
| 70 | Production supervisor | 52 |
1%
|
| 71 | Workers in mines | 0 |
0%
|
| 72 | Colnstruction workers | 757 |
14.2%
|
| 73 | Mechanical, sanitation, electricity workers | 231 |
4.3%
|
| 74 | Workers in maintenance | 2 |
0%
|
| 75 | Typography workers | 0 |
0%
|
| 79 | Food and beverage, furniture, knitting, shoes workers | 189 |
3.6%
|
| 81 | Worker in socket, electric equipment | 5 |
0.1%
|
| 82 | Workers in factories | 171 |
3.2%
|
| 83 | Drivers and machinery | 452 |
8.5%
|
| 85 | Unspecified jobs | 4 |
0.1%
|
| 86 | Looking for job | 0 |
0%
|
| 87 | Didn't tell their job | 0 |
0%
|
| 91 | Small jobs | 337 |
6.3%
|
| 92 | Normal transportation workers | 0 |
0%
|
| 95 | Working abroad | 4 |
0.1%
|
| 96 | Other | 0 |
0%
|
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.
Interviewer instructions
(record answer in detail)