Multiple Indicator Cluster Survey 2013-2014
Egypt, Arab Rep., 2013 - 2014
Get Microdata
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
76433
Downloads
777
Husband's occupation, kind of work he mainly do (ECO16)
Data file: wm
Overview
Valid:
303
Invalid:
5556
Minimum:
14
Maximum:
95
Type:
Continuous
Decimal:
0
Start:
494
End:
495
Width:
2
Range:
1 - 96
Format:
Numeric
Questions and instructions
Literal question
What was your (last) husband’s occupation? That was, what kind of work did he mainly do?
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 1 | Army | 0 |
0%
|
| 11 | Law | 0 |
0%
|
| 12 | Government | 0 |
0%
|
| 13 | Project managers in Gov And Public sector | 0 |
0%
|
| 14 | Project managers in private sector | 3 |
1%
|
| 15 | Other department managers | 1 |
0.3%
|
| 16 | Technical managers | 0 |
0%
|
| 17 | General managers | 0 |
0%
|
| 18 | General managers in private sector | 0 |
0%
|
| 21 | Specialists in physical science | 0 |
0%
|
| 22 | Specialists in mathematics, statistics | 0 |
0%
|
| 23 | Engineers | 1 |
0.3%
|
| 24 | Specialists in natural science | 3 |
1%
|
| 25 | Doctors | 1 |
0.3%
|
| 26 | Teachers | 7 |
2.3%
|
| 29 | Technician | 7 |
2.3%
|
| 31 | Technician in physical science | 0 |
0%
|
| 32 | Technician in mathematics, statistics | 0 |
0%
|
| 33 | Technician in engineering | 2 |
0.7%
|
| 34 | Technician in natural science | 1 |
0.3%
|
| 35 | Assistant doctors | 1 |
0.3%
|
| 36 | Assistant teachers | 0 |
0%
|
| 39 | Brokers, Insurance, commissary | 6 |
2%
|
| 41 | Secertary | 20 |
6.6%
|
| 42 | Accounting clerks | 1 |
0.3%
|
| 43 | Statistical clerks | 0 |
0%
|
| 44 | Tellers, telephone operator, tourism clerks | 1 |
0.3%
|
| 45 | House wife | 0 |
0%
|
| 46 | Don't work | 7 |
2.3%
|
| 47 | Retired | 0 |
0%
|
| 48 | Student | 0 |
0%
|
| 49 | Other clerical jobs | 2 |
0.7%
|
| 51 | Services | 19 |
6.3%
|
| 52 | Police | 15 |
5%
|
| 53 | Sales people | 27 |
8.9%
|
| 54 | Soldier in army | 0 |
0%
|
| 61 | Farmer in his land | 15 |
5%
|
| 62 | Farmers | 48 |
15.8%
|
| 63 | Hunters | 0 |
0%
|
| 64 | Selling Sheep | 4 |
1.3%
|
| 70 | Production supervisor | 1 |
0.3%
|
| 71 | Workers in mines | 0 |
0%
|
| 72 | Colnstruction workers | 30 |
9.9%
|
| 73 | Mechanical, sanitation, electricity workers | 8 |
2.6%
|
| 74 | Workers in maintenance | 0 |
0%
|
| 75 | Typography workers | 0 |
0%
|
| 79 | Food and beverage, furniture, knitting, shoes workers | 9 |
3%
|
| 81 | Worker in socket, electric equipment | 1 |
0.3%
|
| 82 | Workers in factories | 9 |
3%
|
| 83 | Drivers and machinery | 26 |
8.6%
|
| 85 | Unspecified jobs | 1 |
0.3%
|
| 86 | Looking for job | 0 |
0%
|
| 87 | Didn't tell their job | 0 |
0%
|
| 91 | Small jobs | 22 |
7.3%
|
| 92 | Normal transportation workers | 0 |
0%
|
| 95 | Working abroad | 4 |
1.3%
|
| 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)