Slow Fertility Transition Project In Egypt, SFT 2004
Egypt, 2004
Get Microdata
Reference ID
EGY_SFT_2004_V1
Producer(s)
Population Council
Collections
Created on
Sep 05, 2019
Last modified
Sep 05, 2019
Page views
1650211
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3538
respondent's occupation (v716)
Data file: Egypt Interim DHS 2003-SFT sample
Overview
Valid:
3286
Valid (weighted):
3290.113
Invalid:
7
Invalid (weighted):
2.887
Minimum:
0
Maximum:
91
Type:
Discrete
Decimal:
0
Start:
2888
End:
2889
Width:
2
Range:
0 - 92
Format:
Numeric
Weighted variable:
V16812
Questions and instructions
Categories
| Value | Category | Cases | Weighted | |
|---|---|---|---|---|
| 0 | not working | 2577 | 2595 |
78.9%
|
| 1 | military | 0 | 0 |
0%
|
| 11 | govt administrators & legislators | 0 | 0 |
0%
|
| 12 | university pres, college dean, diplomats, chancellor | 0 | 0 |
0%
|
| 13 | govt project/purchasing/public relations managers | 0 | 0 |
0%
|
| 14 | private sector project manager | 8 | 8 |
0.3%
|
| 15 | govt dept manager, bank/insurance co manager | 1 | 0 |
0%
|
| 16 | gov & public sector exec officials/managers | 5 | 4 |
0.1%
|
| 17 | govt general manager | 0 | 0 |
0%
|
| 18 | private sector general manager | 0 | 0 |
0%
|
| 21 | chemical/physical scientists | 0 | 0 |
0%
|
| 22 | mathematicians/statisticians/computer programmers | 0 | 0 |
0%
|
| 23 | architects/engineers | 1 | 1 |
0%
|
| 24 | biologists/agricultural engineers/zoologists/pathologists | 1 | 0 |
0%
|
| 25 | doctors/dentists/vets/pharmacists/nursing specialists | 6 | 5 |
0.2%
|
| 26 | educators/educations supervisors/head masters | 133 | 128 |
3.9%
|
| 29 | lawyers/judges/accountants/librarians/social scientists | 16 | 13 |
0.4%
|
| 31 | phys/chem technicians, mining/meteorologists | 0 | 0 |
0%
|
| 32 | math/statis/computer technicians, photographers | 0 | 0 |
0%
|
| 33 | engineering technicians | 1 | 0 |
0%
|
| 34 | biological/agricultural technicians | 2 | 3 |
0.1%
|
| 35 | nurses,medical/dental/veterinary assistants, dieticians | 24 | 29 |
0.9%
|
| 36 | asst teachers/driving instructors/governess | 3 | 2 |
0.1%
|
| 39 | insurance/real estate agents/brokers/shop asistants | 24 | 29 |
0.9%
|
| 41 | typists/stenographers/clerks/postmen | 61 | 64 |
2%
|
| 42 | calculating machine operators | 29 | 29 |
0.9%
|
| 43 | data entry coders/statistical clerks | 3 | 5 |
0.1%
|
| 44 | bookkeepers/cashiers/ telephone/telegraph operators | 4 | 5 |
0.1%
|
| 45 | housewife | 0 | 0 |
0%
|
| 46 | unemployed | 1 | 0 |
0%
|
| 47 | retired | 0 | 0 |
0%
|
| 48 | student | 0 | 0 |
0%
|
| 49 | transport conductor/vending machine collector | 1 | 1 |
0%
|
| 51 | tour guides/maids/hairdressers/cooks | 30 | 33 |
1%
|
| 52 | police/detectives/jail workers | 0 | 0 |
0%
|
| 53 | sales supervisors/salesmen | 44 | 45 |
1.4%
|
| 54 | doing military service | 0 | 0 |
0%
|
| 61 | farmers/agric workers(land/animal breeders/bee hives) | 70 | 53 |
1.6%
|
| 62 | hired farmers/dairy workers | 186 | 172 |
5.2%
|
| 63 | fishermen/hunters | 0 | 0 |
0%
|
| 64 | animal breeders/traders | 2 | 1 |
0%
|
| 70 | production supervisor/general forman | 1 | 2 |
0%
|
| 71 | miners/quarrymen/stone cutters/carvers | 0 | 0 |
0%
|
| 72 | construction workers/electricians/painters/wallpaper hangers | 1 | 0 |
0%
|
| 73 | plumbers/welders/sheet metal workers/mechanics/blacksmith | 0 | 0 |
0%
|
| 74 | electrical fitters/musical instrument makers/elect workers | 0 | 0 |
0%
|
| 75 | printers/typographers | 0 | 0 |
0%
|
| 79 | food/beverage processors, tobacco,dairy,confectioners | 32 | 37 |
1.1%
|
| 81 | machinery fitters/assemblers/factory workers | 0 | 0 |
0%
|
| 82 | pharmaceutical/plastic workers, plastic/paper workers | 5 | 7 |
0.2%
|
| 83 | drivers/earth movers/train drivers/marine services | 0 | 0 |
0%
|
| 85 | unclassified occupations | 0 | 0 |
0%
|
| 91 | street vendor/distribution salesmen/sweepers | 14 | 17 |
0.5%
|
| 92 | transportation workers | 0 | 0 |
0%
|
| Sysmiss | 7 | 3 |
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.