Multitopic Household Survey 2007
Bulgaria, 2007
Get Microdata
Reference ID
BGR_2007_MTHS_v01_M
Producer(s)
Gallup International
Collection(s)
Metadata
Created on
May 28, 2015
Last modified
Jan 30, 2020
Page views
175774
Downloads
17291
- Data files
- wb_mainsample_section_1
- wb_opinion
- wb_section_2
- wb_section_3
- wb_section_4a
- wb_section_4b
- wb_section_5a
- wb_section_5b
- wb_section_6
- wb_section_7a
- wb_section_7b
- wb_section_7c
- wb_section_7d
- wb_section_7e
- wb_section_8
- wb_section_9a
- wb_section_9b
- wb_section_10a
- wb_section_10b
- wb_section_10c_products
- wb_section_10d
- wb_section_10e
- wb_section_10fg
- wb_section_11
- wb_section_12
- wb_section_13a
- wb_section_13b
- wb_section_13c
- wb_section_14
what type of work did you do in the last 7 days? - code (s7c_q1)
Data file: wb_section_7c
Overview
Valid:
6246
Invalid:
0
Type:
Discrete
Decimal:
0
Start:
24
End:
26
Width:
3
Range:
1 - 999
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 1 | physical scientists and related technicians | 7 |
0.1%
|
| 2 | architects | 6 |
0.1%
|
| 3 | engineers and related technicians | 93 |
1.5%
|
| 4 | aircraft and ships’ officers | 7 |
0.1%
|
| 5 | life scientists and related technicians | 13 |
0.2%
|
| 6 | medical, dental, and related workers | 166 |
2.7%
|
| 7 | veterinary related workers | 6 |
0.1%
|
| 8 | statisticians, mathematicians, and related technicians | 7 |
0.1%
|
| 9 | economists | 44 |
0.7%
|
| 11 | accountants | 111 |
1.8%
|
| 12 | jurists, legal professionals | 30 |
0.5%
|
| 13 | teachers | 220 |
3.5%
|
| 14 | workers in religion | 5 |
0.1%
|
| 15 | authors, journalists and related writers | 22 |
0.4%
|
| 16 | sculptors, painters, photographers, and related | 17 |
0.3%
|
| 17 | composers and performing artists | 11 |
0.2%
|
| 18 | athletes, sportsmen, and related workers | 11 |
0.2%
|
| 19 | professional, technical, and related workers | 133 |
2.1%
|
| 20 | legislative officials and government administrators | 23 |
0.4%
|
| 21 | managers | 59 |
0.9%
|
| 30 | clerical supervisors | 29 |
0.5%
|
| 31 | government executive officials | 94 |
1.5%
|
| 32 | typists, secretaries | 54 |
0.9%
|
| 33 | bookkeepers, cashiers and related workers | 62 |
1%
|
| 34 | computer operators | 45 |
0.7%
|
| 35 | transport and communications supervisors | 10 |
0.2%
|
| 36 | transport conductors | 321 |
5.1%
|
| 37 | mail distribution clerks | 39 |
0.6%
|
| 38 | telephone and telegraph operators | 10 |
0.2%
|
| 39 | clerical related workers not elsewhere classified | 76 |
1.2%
|
| 40 | managers (wholesale and retail trade) | 15 |
0.2%
|
| 41 | working proprietors (wholesale and retail trade) | 80 |
1.3%
|
| 42 | sales supervisors and buyers | 14 |
0.2%
|
| 43 | technical sales agents and manufacturers’ agents | 35 |
0.6%
|
| 44 | insurance, real estate, securities sales agents | 34 |
0.5%
|
| 45 | sales agents, shop assistants, and related workers | 329 |
5.3%
|
| 49 | sales workers not elsewhere classified | 30 |
0.5%
|
| 50 | managers (food and lodging services) | 11 |
0.2%
|
| 51 | working proprietors | 44 |
0.7%
|
| 52 | housekeeping and related service supervisors | 22 |
0.4%
|
| 53 | cooks, waiters, bartenders, and related workers | 216 |
3.5%
|
| 54 | maids and related housekeeping service workers | 14 |
0.2%
|
| 55 | building caretakers, cleaners, and related workers | 111 |
1.8%
|
| 56 | launderers, drycleaners and pressers | 13 |
0.2%
|
| 57 | hairdressers, barbers, beauticians and related workers | 27 |
0.4%
|
| 58 | security, protective service workers | 187 |
3%
|
| 59 | service workers not elsewhere classified | 197 |
3.2%
|
| 60 | farm managers and supervisors | 3 |
0%
|
| 61 | farmers | 25 |
0.4%
|
| 62 | agriculture and animal husbandry workers | 1455 |
23.3%
|
| 63 | forestry workers | 21 |
0.3%
|
| 64 | fishermen, hunters and related operators and laborers | 1 |
0%
|
| 70 | production supervisors and general supervisors | 80 |
1.3%
|
| 71 | miners, quarrymen, well drillers and related workers | 17 |
0.3%
|
| 72 | metal processors | 9 |
0.1%
|
| 73 | wood preparation workers | 46 |
0.7%
|
| 74 | chemical processors and related workers | 9 |
0.1%
|
| 75 | spinners, weavers, knitters, dyers, and related workers | 17 |
0.3%
|
| 76 | tanners, leather workers | 4 |
0.1%
|
| 77 | food and beverage processors | 74 |
1.2%
|
| 78 | tobacco preparers and tobacco product makers | 22 |
0.4%
|
| 79 | tailors, dressmakers, sewers, upholsterers, and related | 177 |
2.8%
|
| 80 | shoemakers and leather goods makers | 11 |
0.2%
|
| 81 | cabinetmakers and related woodworkers | 29 |
0.5%
|
| 82 | stone cutters and carvers | 1 |
0%
|
| 83 | blacksmiths, toolmakers and machine tool operators | 97 |
1.6%
|
| 84 | machinery workers, precision instrument makers | 42 |
0.7%
|
| 85 | electrical workers and related workers | 111 |
1.8%
|
| 86 | broadcasting station ,cinema projectionists | 4 |
0.1%
|
| 87 | plumbers, welders, metal preparers and erectors | 88 |
1.4%
|
| 88 | jewelers and precious metal workers | 0 |
0%
|
| 89 | glass formers, potters and related workers | 7 |
0.1%
|
| 90 | rubber and plastics product makers | 7 |
0.1%
|
| 91 | paper and paper board products makers | 3 |
0%
|
| 92 | printers and related workers | 13 |
0.2%
|
| 93 | painters | 10 |
0.2%
|
| 94 | production and related workers not elsewhere classified | 46 |
0.7%
|
| 95 | bricklayers, carpenters and other construction workers | 310 |
5%
|
| 96 | stationary engine and related equipment operators | 39 |
0.6%
|
| 97 | material handling and related equipment operators | 36 |
0.6%
|
| 98 | transport equipment operators | 70 |
1.1%
|
| 99 | laborers not elsewhere classified | 215 |
3.4%
|
| 100 | financial worker, financial inspector | 8 |
0.1%
|
| 101 | ship mechanics and related ship workers | 7 |
0.1%
|
| 102 | customs inspector / officer | 8 |
0.1%
|
| 103 | technicians of specialized machinery maintenance | 9 |
0.1%
|
| 104 | actor (workers in the stage arts) | 1 |
0%
|
| 997 | refusal | 3 |
0%
|
| 998 | doesn't know what the person works | 1 |
0%
|
| 999 | doesn't work | 0 |
0%
|
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.