High Frequency Survey, HFS 2016
Somalia, 2016
Get Microdata
Reference ID
SOM_HFS_2016_HD_V2.0
Producer(s)
Economic Research Forum, Utz J. Pape - World Bank, Directorate of National Statistics- Federal Government of Somalia
Created on
Nov 19, 2017
Last modified
Nov 19, 2017
Page views
235234
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- Data files
- Somalia16-HH-V2
- Somalia16-IND-V2
Industry classification for the main job [Standardized version] (PIND)
Data file: Somalia16-IND-V2
Overview
Valid:
2528
Valid (weighted):
565721.873
Invalid:
18498
Invalid (weighted):
4137102.128
Type:
Discrete
Decimal:
0
Start:
163
End:
165
Width:
3
Range:
10 - 999
Format:
Numeric
Weighted variable:
V1340
Questions and instructions
Categories
| Value | Category | Cases | Weighted | |
|---|---|---|---|---|
| 10 | Agriculture and Fishing | 159 | 44684 |
7.9%
|
| 20 | Mining | 4 | 951 |
0.2%
|
| 30 | Manufacturing | 28 | 10629 |
1.9%
|
| 40 | Electricity and Utilities | 39 | 9688 |
1.7%
|
| 50 | Construction | 48 | 11531 |
2%
|
| 60 | Commerce | 46 | 8961 |
1.6%
|
| 70 | Transportation, Storage and Communication | 93 | 22283 |
3.9%
|
| 80 | Financial, Insurance and Real Estate | 21 | 5515 |
1%
|
| 90 | Public Administration and Defence | 71 | 15758 |
2.8%
|
| 100 | Other services | 234 | 53928 |
9.5%
|
| 998 | Unspecified | 85 | 21884 |
3.9%
|
| 999 | Not stated | 1700 | 359909 |
63.6%
|
| Sysmiss | 18498 | 4137102 |
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.
Description
Definition
Industry classification of the main (current or last held) job
Universe
Ever-employed Active individuals aged 15+ years
Source of information
Data Dictionary & Questionnaire/Codebook
Imputation and derivation
Coder instructions
Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
Others
Notes
GENERAL NOTES
----------------------
In many datasets national classifications are used.
The variable should generally cover the active sample (employed and unemployed if previously employed).
While for Unemployed never previously employed, the variable was coded missing.
Active sample reported as "not stated (code 999)" should normally include employed for whom the status was not identified and unemployed previously employed if status in last job is not reported.
Those unemployed and do not search for a job are considered inactive, hence their previous employment information, if they were ever active, is recoded missing.
COUNTRY SPECIFIC NOTES
----------------------------------
All work related characteristics are missing for those reported employed but temporary absent from work in PCMAS_D (Code 120), thus the percentage of "not stated" may reach 40 % or more in the corresponding harmonized variables.
----------------------
In many datasets national classifications are used.
The variable should generally cover the active sample (employed and unemployed if previously employed).
While for Unemployed never previously employed, the variable was coded missing.
Active sample reported as "not stated (code 999)" should normally include employed for whom the status was not identified and unemployed previously employed if status in last job is not reported.
Those unemployed and do not search for a job are considered inactive, hence their previous employment information, if they were ever active, is recoded missing.
COUNTRY SPECIFIC NOTES
----------------------------------
All work related characteristics are missing for those reported employed but temporary absent from work in PCMAS_D (Code 120), thus the percentage of "not stated" may reach 40 % or more in the corresponding harmonized variables.