Household Income and Expenditure Survey 2006
Palau, 2006
Created on
Apr 25, 2019
Last modified
Apr 25, 2019
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506
- Data Files
- Pal_2004_HH
- Pal_2004_Person
International Standard Industrial Classification of main job (PIND)
Data file: Pal_2004_Person
Overview
Valid:
0
Valid:
0
Invalid:
0
Invalid:
0
Type:
Discrete
Decimal:
0
Range:
-
Format:
Questions and instructions
Categories
| Value | Category |
|---|---|
| 1 | Agriculture and Fishing |
| 4 | Electricity and Utilities |
| 5 | Construction |
| 6 | Commerce |
| 7 | Transportation, Storage and Communication |
| 8 | Financial, Insurance and Real Estate |
| 9 | Public Administration |
| 10 | Other Services |
| 11 | Unspecified |
| 23 | Mining, quarrying and Manufacturing |
| 99 | Not stated |
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, with as much detail as possible.
Universe
Active individuals aged 10+
Others
Notes
GENERAL NOTES
----------------------
In many datasets national classifications are used.
The variable should generally cover the active sample (employed and unemployed).
Active sample reported as "not stated (code 99)" should normally include employed for whom the industry was not identified and unemployed if industry of last job is not reported.
COUNTRY SPECIFIC NOTES
----------------------------------
Economic activities provided are already aggregated and they are not following the international classification used for harmonization, hence some activities are grouped and cannot be split (Ex: manufacturing is already grouped with mining in the original data received while the international classification tend always to differentiate between different activities).
In order not to drop the variable, the provided grouping was used and labels were adjusted for this data set; giving the aggregated categories a composite code of all the codes of actual categories (Ex: mining and manufacturing will be coded 23 aggregating the codes 2 and 3)
----------------------
In many datasets national classifications are used.
The variable should generally cover the active sample (employed and unemployed).
Active sample reported as "not stated (code 99)" should normally include employed for whom the industry was not identified and unemployed if industry of last job is not reported.
COUNTRY SPECIFIC NOTES
----------------------------------
Economic activities provided are already aggregated and they are not following the international classification used for harmonization, hence some activities are grouped and cannot be split (Ex: manufacturing is already grouped with mining in the original data received while the international classification tend always to differentiate between different activities).
In order not to drop the variable, the provided grouping was used and labels were adjusted for this data set; giving the aggregated categories a composite code of all the codes of actual categories (Ex: mining and manufacturing will be coded 23 aggregating the codes 2 and 3)