Household Expenditure and Income Survey, HEIS 2010
Jordan, 2010 - 2011
Get Microdata
Reference ID
JOR_2010_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
- Jordan10-IND-V2
- Jordan10-HH-V2
Occupation classification for the main job [ISCO 2008- 3 digits] (POCC_ISCO08_3)
Data file: Jordan10-IND-V2
Overview
Valid:
3383
Valid (weighted):
1326781.058
Invalid:
12089
Invalid (weighted):
4773177.3
Type:
Discrete
Decimal:
0
Start:
156
End:
159
Width:
4
Range:
11 - 9999
Format:
Numeric
Weighted variable:
V2418
Questions and instructions
Categories
| Value | Category | Cases | Weighted | |
|---|---|---|---|---|
| 11 | Commissioned armed forces officers | 0 | 0 |
0%
|
| 21 | Non-commissioned armed forces officers | 0 | 0 |
0%
|
| 31 | Armed forces occupations, other ranks | 0 | 0 |
0%
|
| 111 | Legislators and senior officials | 1 | 357 |
0%
|
| 112 | Managing directors and chief executives | 0 | 0 |
0%
|
| 121 | Business services and administration managers | 0 | 0 |
0%
|
| 122 | Sales, marketing and development managers | 0 | 0 |
0%
|
| 131 | Production managers in agriculture, forestry and fisheries | 0 | 0 |
0%
|
| 132 | Manufacturing, mining, construction, and distribution manage | 0 | 0 |
0%
|
| 133 | Information and communications technology service managers | 0 | 0 |
0%
|
| 134 | Professional services managers | 12 | 5265 |
0.4%
|
| 141 | Hotel and restaurant managers | 0 | 0 |
0%
|
| 142 | Retail and wholesale trade managers | 1 | 278 |
0%
|
| 143 | Other services managers | 0 | 0 |
0%
|
| 211 | Physical and earth science professionals | 2 | 888 |
0.1%
|
| 212 | Mathematicians, actuaries and statisticians | 0 | 0 |
0%
|
| 213 | Life science professionals | 9 | 3720 |
0.3%
|
| 214 | Engineering professionals (excluding electrotechnology) | 41 | 15798 |
1.2%
|
| 215 | Electrotechnology engineers | 17 | 5412 |
0.4%
|
| 216 | Architects, planners, surveyors and designers | 3 | 1231 |
0.1%
|
| 221 | Medical doctors | 12 | 4470 |
0.3%
|
| 222 | Nursing and midwifery professionals | 20 | 9423 |
0.7%
|
| 223 | Traditional and complementary medicine professionals | 0 | 0 |
0%
|
| 224 | Paramedical practitioners | 0 | 0 |
0%
|
| 225 | Veterinarians | 0 | 0 |
0%
|
| 226 | Other health professionals | 23 | 9111 |
0.7%
|
| 231 | University and higher education teachers | 14 | 8528 |
0.6%
|
| 232 | Vocational education teachers | 2 | 352 |
0%
|
| 233 | Secondary education teachers | 72 | 30122 |
2.3%
|
| 234 | Primary school and early childhood teachers | 133 | 51686 |
3.9%
|
| 235 | Other teaching professionals | 5 | 2375 |
0.2%
|
| 241 | Finance professionals | 61 | 20169 |
1.5%
|
| 242 | Administration professionals | 125 | 43350 |
3.3%
|
| 243 | Sales, marketing and public relations professionals | 11 | 2982 |
0.2%
|
| 251 | Software and applications developers and analysts | 24 | 9098 |
0.7%
|
| 252 | Database and network professionals | 0 | 0 |
0%
|
| 261 | Legal professionals | 27 | 9726 |
0.7%
|
| 262 | Librarians, archivists and curators | 3 | 3451 |
0.3%
|
| 263 | Social and religious professionals | 13 | 5749 |
0.4%
|
| 264 | Authors, journalists and linguists | 4 | 1005 |
0.1%
|
| 265 | Creative and performing artists | 3 | 1391 |
0.1%
|
| 311 | Physical and engineering science technicians | 30 | 11772 |
0.9%
|
| 312 | Mining, manufacturing and construction supervisors | 0 | 0 |
0%
|
| 313 | Process control technicians | 4 | 979 |
0.1%
|
| 314 | Life science technicians and related associate professionals | 1 | 267 |
0%
|
| 315 | Ship and aircraft controllers and technicians | 3 | 1980 |
0.1%
|
| 321 | Medical and pharmaceutical technicians | 10 | 3790 |
0.3%
|
| 322 | Nursing and midwifery associate professionals | 19 | 7026 |
0.5%
|
| 323 | Traditional and complementary medicine associate professiona | 0 | 0 |
0%
|
| 324 | Veterinary technicians and assistants | 0 | 0 |
0%
|
| 325 | Other health associate professionals | 4 | 2086 |
0.2%
|
| 331 | Financial and mathematical associate professionals | 27 | 9302 |
0.7%
|
| 332 | Sales and purchasing agents and brokers | 22 | 12547 |
0.9%
|
| 333 | Business services agents | 21 | 9420 |
0.7%
|
| 334 | Administrative and specialized secretaries | 41 | 14490 |
1.1%
|
| 335 | Regulatory government associate professionals | 7 | 1747 |
0.1%
|
| 341 | Legal, social and religious associate professionals | 22 | 7644 |
0.6%
|
| 342 | Sports and fitness workers | 10 | 3471 |
0.3%
|
| 343 | Artistic, cultural and culinary associate professionals | 12 | 5880 |
0.4%
|
| 351 | Information and communications technology operations and use | 6 | 2420 |
0.2%
|
| 352 | Telecommunications and broadcasting technicians | 0 | 0 |
0%
|
| 411 | General office clerks | 105 | 37241 |
2.8%
|
| 412 | Secretaries (general) | 20 | 6851 |
0.5%
|
| 413 | Keyboard operators | 43 | 14556 |
1.1%
|
| 421 | Tellers, money collectors and related clerks | 6 | 1748 |
0.1%
|
| 422 | Client information workers | 34 | 13297 |
1%
|
| 431 | Numerical clerks | 24 | 8590 |
0.6%
|
| 432 | Material-recording and transport clerks | 31 | 12790 |
1%
|
| 441 | Other clerical support workers | 4 | 1173 |
0.1%
|
| 511 | Travel attendants, conductors and guides | 6 | 2173 |
0.2%
|
| 512 | Cooks | 48 | 20940 |
1.6%
|
| 513 | Waiters and bartenders | 22 | 7404 |
0.6%
|
| 514 | Hairdressers, beauticians and related workers | 31 | 18113 |
1.4%
|
| 515 | Building and housekeeping supervisors | 0 | 0 |
0%
|
| 516 | Other personal services workers | 2 | 767 |
0.1%
|
| 521 | Street and market salespersons | 21 | 8263 |
0.6%
|
| 522 | Shop salespersons | 326 | 138355 |
10.4%
|
| 523 | Cashiers and ticket clerks | 4 | 918 |
0.1%
|
| 524 | Other sales workers | 0 | 0 |
0%
|
| 531 | Child care workers and teachers' aides | 8 | 3998 |
0.3%
|
| 532 | Personal care workers in health services | 11 | 6170 |
0.5%
|
| 541 | Protective services workers | 515 | 173474 |
13.1%
|
| 611 | Market gardeners and crop growers | 24 | 7031 |
0.5%
|
| 612 | Animal producers | 1 | 1763 |
0.1%
|
| 613 | Mixed crop and animal producers | 0 | 0 |
0%
|
| 621 | Forestry and related workers | 0 | 0 |
0%
|
| 622 | Fishery workers, hunters and trappers | 0 | 0 |
0%
|
| 631 | Subsistence crop farmers | 0 | 0 |
0%
|
| 632 | Subsistence livestock farmers | 18 | 8740 |
0.7%
|
| 633 | Subsistence mixed crop and livestock farmers | 1 | 620 |
0%
|
| 634 | Subsistence fishers, hunters, trappers and gatherers | 0 | 0 |
0%
|
| 711 | Building frame and related trades workers | 60 | 25746 |
1.9%
|
| 712 | Building finishers and related trades workers | 52 | 23367 |
1.8%
|
| 713 | Painters, building structure cleaners and related trades wor | 13 | 6274 |
0.5%
|
| 721 | Sheet and structural metal workers, moulders and welders, an | 0 | 0 |
0%
|
| 722 | Blacksmiths, toolmakers and related trades workers | 67 | 27001 |
2%
|
| 723 | Machinery mechanics and repairers | 109 | 48963 |
3.7%
|
| 731 | Handicraft workers | 3 | 830 |
0.1%
|
| 732 | Printing trades workers | 4 | 1061 |
0.1%
|
| 741 | Electrical equipment installers and repairers | 71 | 31723 |
2.4%
|
| 742 | Electronics and telecommunications installers and repairers | 16 | 7194 |
0.5%
|
| 751 | Food processing and related trades workers | 23 | 9658 |
0.7%
|
| 752 | Wood treaters, cabinet-makers and related trades workers | 35 | 16320 |
1.2%
|
| 753 | Garment and related trades workers | 55 | 18522 |
1.4%
|
| 754 | Other craft and related workers | 0 | 0 |
0%
|
| 811 | Mining and mineral processing plant operators | 8 | 3630 |
0.3%
|
| 812 | Metal processing and finishing plant operators | 0 | 0 |
0%
|
| 813 | Chemical and photographic products plant and machine operato | 6 | 1266 |
0.1%
|
| 814 | Rubber, plastic and paper products machine operators | 3 | 1315 |
0.1%
|
| 815 | Textile, fur and leather products machine operators | 0 | 0 |
0%
|
| 816 | Food and related products machine operators | 7 | 2393 |
0.2%
|
| 817 | Wood processing and papermaking plant operators | 0 | 0 |
0%
|
| 818 | Other stationary plant and machine operators | 2 | 772 |
0.1%
|
| 821 | Assemblers | 0 | 0 |
0%
|
| 831 | Locomotive engine drivers and related workers | 2 | 389 |
0%
|
| 832 | Car, van and motorcycle drivers | 222 | 85561 |
6.4%
|
| 833 | Heavy truck and bus drivers | 111 | 47077 |
3.5%
|
| 834 | Mobile plant operators | 20 | 8924 |
0.7%
|
| 835 | Ships' deck crews and related workers | 0 | 0 |
0%
|
| 911 | Domestic, hotel and office cleaners and helpers | 175 | 64942 |
4.9%
|
| 912 | Vehicle, window, laundry and other hand cleaning workers | 7 | 2478 |
0.2%
|
| 921 | Agricultural, forestry and fishery laborers | 36 | 11052 |
0.8%
|
| 931 | Mining and construction laborers | 4 | 1211 |
0.1%
|
| 932 | Manufacturing laborers | 17 | 7615 |
0.6%
|
| 933 | Transport and storage laborers | 1 | 370 |
0%
|
| 941 | Food preparation assistants | 4 | 1231 |
0.1%
|
| 951 | Street and related service workers | 0 | 0 |
0%
|
| 952 | Street vendors (excluding food) | 3 | 1242 |
0.1%
|
| 961 | Refuse workers | 15 | 5258 |
0.4%
|
| 962 | Other elementary workers | 42 | 21349 |
1.6%
|
| 9999 | Not stated | 8 | 6318 |
0.5%
|
| Sysmiss | 12089 | 4773177 |
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 2008 (ISCO-08).
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
----------------------
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 2008
----------------------
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 2008