Bulgarian Longitudinal Inclusive Society Survey 2013
Bulgaria, 2013
Get Microdata
Reference ID
BGR_2013_BLISS_v01_M
Producer(s)
Open Society Institute-Sofia, World Bank
Metadata
Created on
Jan 20, 2016
Last modified
Jan 20, 2016
Page views
191154
Downloads
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- Data files
- BGR_2013_BLISS_v01_M_M1
- BGR_2013_BLISS_v01_M_M2A_2B
- BGR_2013_BLISS_v01_M_M3
- BGR_2013_BLISS_v01_M_M4
- BGR_2013_BLISS_v01_M_M5A
- BGR_2013_BLISS_v01_M_M5B
- BGR_2013_BLISS_v01_M_M5B2
- BGR_2013_BLISS_v01_M_M5C
- BGR_2013_BLISS_v01_M_M7
- BGR_2013_BLISS_v01_M_M8
- BGR_2013_BLISS_v01_M_M10
- cluster_settlement_type_region
- wt_bliss_bs_cs_hh
- wt_bliss_bs_cs_ind
- wt_bliss_bs_panel_ind
- wt_bliss_cs_cs_hh
- wt_bliss_cs_cs_ind
- wt_bliss_ms_cs_hh
- wt_bliss_ms_cs_ind
- wt_bliss_ms_panel_ind_v2
- wt_bliss_sm_bs_cs
- wt_bliss_sm_bs_panel2
- wt_bliss_sm_cs_cs
- wt_bliss_sm_ms_cs
- wt_bliss_sm_ms_panel2
- wt_cw_bs_panel_hh
- wt_cw_bs_panel_ind
- wt_cw_ms_panel_hh
- wt_cw_ms_panel_ind
- BGR_2013_BLISS_v03_M_Psyh
m2_q16a What are [NAME'S] MONTHLY AVERAGE NET wages (net of taxes and contributi (m2_q16a)
Data file: BGR_2013_BLISS_v01_M_M2A_2B
Overview
Valid:
2348
Invalid:
3619
Type:
Discrete
Decimal:
0
Start:
390
End:
395
Width:
6
Range:
0 - 10000
Format:
Numeric
Questions and instructions
Literal question
What are [NAME'S] MONTHLY AVERAGE NET wages (net of taxes and contributions) from this job?
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 0 | 4 |
0.2%
|
|
| 10 | 1 |
0%
|
|
| 15 | 1 |
0%
|
|
| 30 | 1 |
0%
|
|
| 40 | 2 |
0.1%
|
|
| 42 | 2 |
0.1%
|
|
| 50 | 6 |
0.3%
|
|
| 60 | 1 |
0%
|
|
| 80 | 3 |
0.1%
|
|
| 87 | 1 |
0%
|
|
| 90 | 2 |
0.1%
|
|
| 99 | na | 0 |
0%
|
| 100 | 5 |
0.2%
|
|
| 110 | 2 |
0.1%
|
|
| 120 | 6 |
0.3%
|
|
| 130 | 3 |
0.1%
|
|
| 140 | 1 |
0%
|
|
| 150 | 18 |
0.8%
|
|
| 154 | 1 |
0%
|
|
| 160 | 3 |
0.1%
|
|
| 165 | 2 |
0.1%
|
|
| 170 | 2 |
0.1%
|
|
| 175 | 1 |
0%
|
|
| 180 | 9 |
0.4%
|
|
| 200 | 28 |
1.2%
|
|
| 220 | 4 |
0.2%
|
|
| 225 | 1 |
0%
|
|
| 230 | 6 |
0.3%
|
|
| 240 | 9 |
0.4%
|
|
| 245 | 1 |
0%
|
|
| 250 | 34 |
1.4%
|
|
| 258 | 1 |
0%
|
|
| 260 | 7 |
0.3%
|
|
| 263 | 1 |
0%
|
|
| 264 | 1 |
0%
|
|
| 265 | 2 |
0.1%
|
|
| 270 | 9 |
0.4%
|
|
| 275 | 1 |
0%
|
|
| 280 | 19 |
0.8%
|
|
| 290 | 13 |
0.6%
|
|
| 292 | 1 |
0%
|
|
| 295 | 1 |
0%
|
|
| 297 | 3 |
0.1%
|
|
| 298 | 1 |
0%
|
|
| 300 | 165 |
7%
|
|
| 310 | 99 |
4.2%
|
|
| 312 | 1 |
0%
|
|
| 320 | 42 |
1.8%
|
|
| 326 | 2 |
0.1%
|
|
| 330 | 12 |
0.5%
|
|
| 340 | 19 |
0.8%
|
|
| 345 | 1 |
0%
|
|
| 350 | 121 |
5.2%
|
|
| 360 | 25 |
1.1%
|
|
| 365 | 1 |
0%
|
|
| 370 | 13 |
0.6%
|
|
| 374 | 1 |
0%
|
|
| 380 | 47 |
2%
|
|
| 390 | 8 |
0.3%
|
|
| 395 | 1 |
0%
|
|
| 400 | 210 |
8.9%
|
|
| 405 | 1 |
0%
|
|
| 410 | 8 |
0.3%
|
|
| 415 | 1 |
0%
|
|
| 420 | 44 |
1.9%
|
|
| 424 | 1 |
0%
|
|
| 425 | 2 |
0.1%
|
|
| 430 | 8 |
0.3%
|
|
| 436 | 1 |
0%
|
|
| 440 | 2 |
0.1%
|
|
| 450 | 120 |
5.1%
|
|
| 460 | 15 |
0.6%
|
|
| 470 | 12 |
0.5%
|
|
| 480 | 25 |
1.1%
|
|
| 485 | 1 |
0%
|
|
| 490 | 3 |
0.1%
|
|
| 500 | 245 |
10.4%
|
|
| 510 | 3 |
0.1%
|
|
| 513 | 1 |
0%
|
|
| 520 | 9 |
0.4%
|
|
| 525 | 1 |
0%
|
|
| 530 | 6 |
0.3%
|
|
| 533 | 1 |
0%
|
|
| 535 | 2 |
0.1%
|
|
| 540 | 7 |
0.3%
|
|
| 550 | 44 |
1.9%
|
|
| 560 | 14 |
0.6%
|
|
| 562 | 1 |
0%
|
|
| 570 | 6 |
0.3%
|
|
| 580 | 9 |
0.4%
|
|
| 585 | 1 |
0%
|
|
| 590 | 2 |
0.1%
|
|
| 600 | 175 |
7.5%
|
|
| 608 | 1 |
0%
|
|
| 610 | 2 |
0.1%
|
|
| 620 | 8 |
0.3%
|
|
| 623 | 1 |
0%
|
|
| 626 | 1 |
0%
|
|
| 630 | 4 |
0.2%
|
|
| 639 | 1 |
0%
|
|
| 640 | 4 |
0.2%
|
|
| 650 | 43 |
1.8%
|
|
| 660 | 2 |
0.1%
|
|
| 670 | 4 |
0.2%
|
|
| 680 | 4 |
0.2%
|
|
| 690 | 2 |
0.1%
|
|
| 700 | 116 |
4.9%
|
|
| 710 | 1 |
0%
|
|
| 720 | 7 |
0.3%
|
|
| 730 | 4 |
0.2%
|
|
| 740 | 1 |
0%
|
|
| 750 | 20 |
0.9%
|
|
| 760 | 6 |
0.3%
|
|
| 780 | 2 |
0.1%
|
|
| 790 | 1 |
0%
|
|
| 800 | 93 |
4%
|
|
| 810 | 1 |
0%
|
|
| 820 | 1 |
0%
|
|
| 840 | 1 |
0%
|
|
| 848 | 1 |
0%
|
|
| 850 | 17 |
0.7%
|
|
| 860 | 1 |
0%
|
|
| 870 | 2 |
0.1%
|
|
| 880 | 2 |
0.1%
|
|
| 900 | 33 |
1.4%
|
|
| 920 | 1 |
0%
|
|
| 930 | 2 |
0.1%
|
|
| 950 | 3 |
0.1%
|
|
| 970 | 1 |
0%
|
|
| 980 | 2 |
0.1%
|
|
| 1000 | 87 |
3.7%
|
|
| 1100 | 10 |
0.4%
|
|
| 1150 | 2 |
0.1%
|
|
| 1200 | 25 |
1.1%
|
|
| 1300 | 10 |
0.4%
|
|
| 1310 | 1 |
0%
|
|
| 1400 | 4 |
0.2%
|
|
| 1500 | 23 |
1%
|
|
| 1600 | 3 |
0.1%
|
|
| 1660 | 1 |
0%
|
|
| 1700 | 1 |
0%
|
|
| 1800 | 1 |
0%
|
|
| 1900 | 3 |
0.1%
|
|
| 2000 | 12 |
0.5%
|
|
| 2300 | 1 |
0%
|
|
| 2400 | 1 |
0%
|
|
| 2500 | 1 |
0%
|
|
| 3000 | 3 |
0.1%
|
|
| 3500 | 1 |
0%
|
|
| 3800 | 1 |
0%
|
|
| 5000 | 1 |
0%
|
|
| 10000 | 1 |
0%
|
|
| 100001 | .A | 75 | |
| Sysmiss | 3544 |
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.