Zimbabwe Manufacturing Firm Survey 2015-2016
Zimbabwe, 2015 - 2017
Get Microdata
Reference ID
zim-pdlmaz-zmfs-2015-2016-v1
Producer(s)
Lawrence Edwards
Collections
Created on
Aug 08, 2018
Last modified
Aug 10, 2018
Page views
233741
Downloads
2402
job_code (job_code)
Data file: Wave1_2015_Formal_Workers_anon
Overview
Valid:
687
Invalid:
0
Type:
Discrete
Width:
27
Range:
-
Format:
character
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| -99 | 11 |
1.6%
|
|
| 1 | 18 |
2.6%
|
|
| 10 | 6 |
0.9%
|
|
| 11 | 3 |
0.4%
|
|
| 12 | 2 |
0.3%
|
|
| 13 | 1 |
0.1%
|
|
| 14 | 1 |
0.1%
|
|
| 16 | 2 |
0.3%
|
|
| 174 | 1 |
0.1%
|
|
| 18 | 1 |
0.1%
|
|
| 2 | 7 |
1%
|
|
| 210 | 1 |
0.1%
|
|
| 3 | 8 |
1.2%
|
|
| 329 | 1 |
0.1%
|
|
| 4 | 9 |
1.3%
|
|
| 5 | 5 |
0.7%
|
|
| 5003 | 1 |
0.1%
|
|
| 5A | 1 |
0.1%
|
|
| 6 | 7 |
1%
|
|
| 7 | 3 |
0.4%
|
|
| 727 | 1 |
0.1%
|
|
| 7a | 1 |
0.1%
|
|
| 8 | 4 |
0.6%
|
|
| 9 | 2 |
0.3%
|
|
| 999 | 84 |
12.2%
|
|
| A | 9 |
1.3%
|
|
| A1 | 20 |
2.9%
|
|
| A2 | 9 |
1.3%
|
|
| A3 | 18 |
2.6%
|
|
| A4 | 3 |
0.4%
|
|
| AE11 | 1 |
0.1%
|
|
| AE13 | 1 |
0.1%
|
|
| Above c1 | 1 |
0.1%
|
|
| Aut1950 | 1 |
0.1%
|
|
| Aut3630 | 1 |
0.1%
|
|
| B | 1 |
0.1%
|
|
| B1 | 15 |
2.2%
|
|
| B2 | 27 |
3.9%
|
|
| B3 | 35 |
5.1%
|
|
| B4 | 12 |
1.7%
|
|
| B5 | 10 |
1.5%
|
|
| B6 | 6 |
0.9%
|
|
| C | 9 |
1.3%
|
|
| C 1 | 1 |
0.1%
|
|
| C1 | 13 |
1.9%
|
|
| C15 | 1 |
0.1%
|
|
| C2 | 15 |
2.2%
|
|
| C3 | 13 |
1.9%
|
|
| C4 | 7 |
1%
|
|
| C5 | 6 |
0.9%
|
|
| C6 | 4 |
0.6%
|
|
| C7 | 1 |
0.1%
|
|
| CEB3 | 1 |
0.1%
|
|
| Class | 1 |
0.1%
|
|
| Class 1 | 9 |
1.3%
|
|
| Class 1 journeyman | 1 |
0.1%
|
|
| Class 2 | 1 |
0.1%
|
|
| Class 3 | 1 |
0.1%
|
|
| Class 4 trainee | 1 |
0.1%
|
|
| Class1 | 1 |
0.1%
|
|
| Class2 | 1 |
0.1%
|
|
| D | 14 |
2%
|
|
| D1 | 5 |
0.7%
|
|
| D2 | 2 |
0.3%
|
|
| D3 | 2 |
0.3%
|
|
| D4 | 2 |
0.3%
|
|
| Dk | 4 |
0.6%
|
|
| Do know the code yet | 1 |
0.1%
|
|
| Don't have grades | 3 |
0.4%
|
|
| Don't know | 23 |
3.3%
|
|
| Don't know have no pay slip | 1 |
0.1%
|
|
| Don't use in management | 1 |
0.1%
|
|
| Dont know | 4 |
0.6%
|
|
| E | 6 |
0.9%
|
|
| E1 | 1 |
0.1%
|
|
| E3 | 1 |
0.1%
|
|
| F3 | 1 |
0.1%
|
|
| G1 | 4 |
0.6%
|
|
| G10 | 1 |
0.1%
|
|
| G2 | 2 |
0.3%
|
|
| G3 | 1 |
0.1%
|
|
| G4 | 3 |
0.4%
|
|
| Garde C2 | 1 |
0.1%
|
|
| Grade | 1 |
0.1%
|
|
| Grade 1 | 4 |
0.6%
|
|
| Grade 10 | 2 |
0.3%
|
|
| Grade 10 nec | 1 |
0.1%
|
|
| Grade 12 | 1 |
0.1%
|
|
| Grade 1A | 3 |
0.4%
|
|
| Grade 2 | 8 |
1.2%
|
|
| Grade 2c | 1 |
0.1%
|
|
| Grade 3 | 5 |
0.7%
|
|
| Grade 4 | 2 |
0.3%
|
|
| Grade 5 | 4 |
0.6%
|
|
| Grade 6 | 2 |
0.3%
|
|
| Grade 7 | 2 |
0.3%
|
|
| Grade 8 | 3 |
0.4%
|
|
| Grade 9 | 2 |
0.3%
|
|
| Grade A | 1 |
0.1%
|
|
| Grade A2 | 1 |
0.1%
|
|
| Grade A3 | 2 |
0.3%
|
|
| Grade B1 | 2 |
0.3%
|
|
| Grade B2 | 2 |
0.3%
|
|
| Grade B3 | 1 |
0.1%
|
|
| Grade B5 | 2 |
0.3%
|
|
| Grade C1 | 1 |
0.1%
|
|
| Grade C5 | 2 |
0.3%
|
|
| Grade E | 2 |
0.3%
|
|
| Grade F | 2 |
0.3%
|
|
| Grade H5 | 1 |
0.1%
|
|
| Grade b | 1 |
0.1%
|
|
| Grade c | 1 |
0.1%
|
|
| Grade c2 | 1 |
0.1%
|
|
| Grade1 | 2 |
0.3%
|
|
| Grade12 | 1 |
0.1%
|
|
| Grade2 | 1 |
0.1%
|
|
| Grade3 | 3 |
0.4%
|
|
| Grade4 | 1 |
0.1%
|
|
| Grade5 | 1 |
0.1%
|
|
| Grade6 | 1 |
0.1%
|
|
| GradeA2 | 2 |
0.3%
|
|
| Gw1 | 1 |
0.1%
|
|
| H | 5 |
0.7%
|
|
| I | 1 |
0.1%
|
|
| J | 3 |
0.4%
|
|
| J1 | 2 |
0.3%
|
|
| J3 | 1 |
0.1%
|
|
| Level 4 | 1 |
0.1%
|
|
| Level 6 | 1 |
0.1%
|
|
| Machinist | 1 |
0.1%
|
|
| Management | 1 |
0.1%
|
|
| No | 3 |
0.4%
|
|
| No grade | 6 |
0.9%
|
|
| No grades | 12 |
1.7%
|
|
| Nograde | 1 |
0.1%
|
|
| None | 12 |
1.7%
|
|
| Not graded | 1 |
0.1%
|
|
| Not sure | 1 |
0.1%
|
|
| S6 | 1 |
0.1%
|
|
| SWC1 | 1 |
0.1%
|
|
| Salaried | 1 |
0.1%
|
|
| Salary | 3 |
0.4%
|
|
| Semi skilled grade 2 | 1 |
0.1%
|
|
| Skilled labour | 1 |
0.1%
|
|
| Skilled worker 2 | 2 |
0.3%
|
|
| Student | 1 |
0.1%
|
|
| Sw1 | 1 |
0.1%
|
|
| Swg1 | 1 |
0.1%
|
|
| Wages | 1 |
0.1%
|
|
| Wg2 | 1 |
0.1%
|
|
| Worker exempted | 1 |
0.1%
|
|
| dh for management | 1 |
0.1%
|
|
| dk | 21 |
3.1%
|
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.