Household Expenditure and Income Survey, HEIS 2002
Jordan, 2002 - 2003
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Reference ID
JOR_2002_HEIS_HD_V2.0
Producer(s)
Economic Research Forum, Department of Statistics
Created on
Feb 19, 2014
Last modified
Oct 30, 2014
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- Data files
- Jordan02-HH-V2
- Jordan02-IND-V2
Occupation classification for the main job [ISCO 1988- 3 digits] (POCC_ISCO88_3)
Data file: Jordan02-IND-V2
Overview
Valid:
3160
Valid (weighted):
1023747.078
Invalid:
13034
Invalid (weighted):
4018596.162
Type:
Discrete
Decimal:
0
Start:
151
End:
154
Width:
4
Range:
11 - 9999
Format:
Numeric
Weighted variable:
V2738
Questions and instructions
Categories
| Value | Category | Cases | Weighted | |
|---|---|---|---|---|
| 11 | Armed forces | 290 | 75637 |
7.4%
|
| 111 | Legislators | 0 | 0 |
0%
|
| 112 | Senior government officials | 1 | 567 |
0.1%
|
| 113 | Traditional chiefs and heads of villages | 3 | 335 |
0%
|
| 114 | Senior officials of special-interest organizations | 1 | 744 |
0.1%
|
| 121 | Directors and chief executives | 2 | 439 |
0%
|
| 122 | Production and operations department managers | 0 | 0 |
0%
|
| 123 | Other department managers | 11 | 3790 |
0.4%
|
| 131 | General managers | 19 | 9499 |
0.9%
|
| 211 | Physicists, chemists and related professionals | 2 | 462 |
0%
|
| 212 | Mathematicians, statisticians and related professionals | 2 | 766 |
0.1%
|
| 213 | Computing professionals | 11 | 4149 |
0.4%
|
| 214 | Architects, engineers and related professionals | 32 | 14395 |
1.4%
|
| 221 | Life science professionals | 3 | 835 |
0.1%
|
| 222 | Health professionals (except nursing) | 28 | 9871 |
1%
|
| 223 | Nursing and midwifery professionals | 5 | 1448 |
0.1%
|
| 231 | College, university and higher education teaching profession | 7 | 5322 |
0.5%
|
| 232 | Secondary education teaching professionals | 68 | 22676 |
2.2%
|
| 233 | Primary and pre-primary education teaching professionals | 116 | 37686 |
3.7%
|
| 234 | Special education teaching professionals | 5 | 1327 |
0.1%
|
| 235 | Other teaching professionals | 7 | 3110 |
0.3%
|
| 241 | Business professionals | 65 | 25296 |
2.5%
|
| 242 | Legal professionals | 10 | 3483 |
0.3%
|
| 243 | Archivists, librarians and related information professionals | 6 | 1805 |
0.2%
|
| 244 | Social science and related professionals | 5 | 883 |
0.1%
|
| 245 | Writers and creative or performing artists | 5 | 2326 |
0.2%
|
| 246 | Religious professionals | 2 | 688 |
0.1%
|
| 311 | Physical and engineering science technicians | 17 | 4364 |
0.4%
|
| 312 | Computer associate professionals | 8 | 3433 |
0.3%
|
| 313 | Optical and electronic equipment operators | 2 | 453 |
0%
|
| 314 | Ship and aircraft controllers and technicians | 3 | 676 |
0.1%
|
| 315 | Safety and quality inspectors | 15 | 3449 |
0.3%
|
| 321 | Life science technicians and related associate professionals | 1 | 573 |
0.1%
|
| 322 | Modern health associate professionals (except nursing) | 27 | 10191 |
1%
|
| 323 | Nursing and midwifery associate professionals | 30 | 9665 |
0.9%
|
| 324 | Traditional medicine practitioners and faith healers | 0 | 0 |
0%
|
| 331 | Primary education teaching associate professionals | 30 | 11803 |
1.2%
|
| 332 | Pre-primary education teaching associate professionals | 3 | 1871 |
0.2%
|
| 333 | Special education teaching associate professionals | 0 | 0 |
0%
|
| 334 | Other teaching associate professionals | 5 | 2222 |
0.2%
|
| 341 | Finance and sales associate professionals | 28 | 13953 |
1.4%
|
| 342 | Business services agents and trade brokers | 15 | 4260 |
0.4%
|
| 343 | Administrative associate professionals | 18 | 6396 |
0.6%
|
| 344 | Customs, tax and related government associate professionals | 7 | 1790 |
0.2%
|
| 345 | Police inspectors and detectives | 0 | 0 |
0%
|
| 346 | Social work associate professionals | 0 | 0 |
0%
|
| 347 | Artistic, entertainment and sports associate professionals | 14 | 6121 |
0.6%
|
| 348 | Religious associate professionals | 9 | 3253 |
0.3%
|
| 411 | Secretaries and keyboard-operating clerks | 61 | 22754 |
2.2%
|
| 412 | Numerical clerks | 17 | 5392 |
0.5%
|
| 413 | Material-recording and transport clerks | 44 | 13982 |
1.4%
|
| 414 | Library, mail and related clerks | 24 | 6156 |
0.6%
|
| 419 | Other office clerks | 69 | 20117 |
2%
|
| 421 | Cashiers, tellers and related clerks | 15 | 4953 |
0.5%
|
| 422 | Client information clerks | 48 | 13406 |
1.3%
|
| 511 | Travel attendants and related workers | 9 | 4185 |
0.4%
|
| 512 | Housekeeping and restaurant services workers | 56 | 16153 |
1.6%
|
| 513 | Personal care and related workers | 19 | 4462 |
0.4%
|
| 514 | Other personal services workers | 40 | 13897 |
1.4%
|
| 515 | Astrologers, fortune-tellers and related workers | 0 | 0 |
0%
|
| 516 | Protective services workers | 17 | 5467 |
0.5%
|
| 521 | Fashion and other models | 0 | 0 |
0%
|
| 522 | Shop salespersons and demonstrators | 288 | 110241 |
10.8%
|
| 523 | Stall and market salespersons | 12 | 3048 |
0.3%
|
| 611 | Market gardeners and crop growers | 122 | 28063 |
2.7%
|
| 612 | Market-oriented animal producers and related workers | 28 | 4895 |
0.5%
|
| 613 | Market-oriented crop and animal producers | 0 | 0 |
0%
|
| 614 | Forestry and related workers | 2 | 448 |
0%
|
| 615 | Fishery workers, hunters and trappers | 0 | 0 |
0%
|
| 621 | Subsistence agricultural and fishery workers | 3 | 502 |
0%
|
| 711 | Miners, shotfirers, stone cutters and carvers | 12 | 2893 |
0.3%
|
| 712 | Building frame and related trades workers | 62 | 23865 |
2.3%
|
| 713 | Building finishers and related trades workers | 50 | 16232 |
1.6%
|
| 714 | Painters, building structure cleaners and related trades wor | 32 | 10531 |
1%
|
| 721 | Metal molders, welders, sheet-metal workers, structural- met | 13 | 3791 |
0.4%
|
| 722 | Blacksmiths, tool-makers and related trades workers | 47 | 19227 |
1.9%
|
| 723 | Machinery mechanics and fitters | 101 | 31038 |
3%
|
| 724 | Electrical and electronic equipment mechanics and fitters | 49 | 17233 |
1.7%
|
| 731 | Precision workers in metal and related materials | 8 | 3126 |
0.3%
|
| 732 | Potters, glass-makers and related trades workers | 7 | 2608 |
0.3%
|
| 733 | Handicraft workers in wood, textile, leather and related mat | 2 | 1036 |
0.1%
|
| 734 | Printing and related trades workers | 9 | 4770 |
0.5%
|
| 741 | Food processing and related trades workers | 34 | 11051 |
1.1%
|
| 742 | Wood treaters, cabinet-makers and related trades workers | 23 | 9379 |
0.9%
|
| 743 | Textile, garment and related trades workers | 71 | 22227 |
2.2%
|
| 744 | Pelt, leather and shoemaking trades workers | 4 | 1520 |
0.1%
|
| 811 | Mining- and mineral-processing-plant operators | 8 | 2854 |
0.3%
|
| 812 | Metal-processing-plant operators | 2 | 715 |
0.1%
|
| 813 | Glass, ceramics and related plant operators | 1 | 1102 |
0.1%
|
| 814 | Wood-processing- and papermaking-plant operators | 2 | 931 |
0.1%
|
| 815 | Chemical-processing-plant operators | 3 | 934 |
0.1%
|
| 816 | Power-production and related plant operators | 7 | 2457 |
0.2%
|
| 817 | Automated-assembly-line and industrial-robot operators | 2 | 785 |
0.1%
|
| 821 | Metal- and mineral-products machine operators | 2 | 264 |
0%
|
| 822 | Chemical-products machine operators | 7 | 2304 |
0.2%
|
| 823 | Rubber- and plastic-products machine operators | 5 | 2674 |
0.3%
|
| 824 | Wood-products machine operators | 1 | 280 |
0%
|
| 825 | Printing-, binding- and paper-products machine operators | 5 | 1116 |
0.1%
|
| 826 | Textile-, fur- and leather-products machine operators | 8 | 3057 |
0.3%
|
| 827 | Food and related products machine operators | 6 | 1652 |
0.2%
|
| 828 | Assemblers | 1 | 213 |
0%
|
| 829 | Other machine operators and assemblers | 5 | 1624 |
0.2%
|
| 831 | Locomotive-engine drivers and related workers | 3 | 451 |
0%
|
| 832 | Motor-vehicle drivers | 321 | 98384 |
9.6%
|
| 833 | Agricultural and other mobile-plant operators | 16 | 4340 |
0.4%
|
| 834 | Ships' deck crews and related workers | 0 | 0 |
0%
|
| 911 | Street vendors and related workers | 43 | 15694 |
1.5%
|
| 912 | Shoe cleaning and other street services elementary occupatio | 0 | 0 |
0%
|
| 913 | Domestic and related helpers, cleaners and launderers | 77 | 27634 |
2.7%
|
| 914 | Building caretakers, window and related cleaners | 8 | 2292 |
0.2%
|
| 915 | Messengers, porters, doorkeepers and related workers | 182 | 50885 |
5%
|
| 916 | Garbage collectors and related laborers | 7 | 2451 |
0.2%
|
| 921 | Agricultural, fishery and related laborers | 14 | 3198 |
0.3%
|
| 931 | Mining and construction laborers | 24 | 6820 |
0.7%
|
| 932 | Manufacturing laborers | 25 | 7186 |
0.7%
|
| 933 | Transport laborers and freight handlers | 20 | 5456 |
0.5%
|
| 9998 | Unspecified code | 0 | 0 |
0%
|
| 9999 | Not stated | 19 | 5339 |
0.5%
|
| Sysmiss | 13034 | 4018596 |
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
Occupation classification for the main (current or last held) job, following the 3-digits International Standard Classification of Occupations for the year 1988 (ISCO-88).
Universe
Ever-employed Active individuals aged 12+ 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
----------------------
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 9999)" 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
----------------------------------
Following 3 digits ISCO 1988
----------------------
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 9999)" 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
----------------------------------
Following 3 digits ISCO 1988