National Baseline Household Survey 2009
South Sudan, 2009
Created on
May 02, 2012
Last modified
Mar 29, 2019
Page views
37764
Downloads
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Households by value(SDG) of damage due robbery/burglary/assault over the past 5 (l107_3)
Data file: NBHS_HH Variable
Overview
Valid:
632
Invalid:
4337
Minimum:
-9
Maximum:
700000
Type:
Discrete
Decimal:
0
Start:
435
End:
440
Width:
6
Range:
-
Format:
Questions and instructions
Literal question
Over the past five years, was the household severely affected by any of the following events, Robbery/ burglary/ assault ?
Categories
| Value | Category |
|---|---|
| -9 | |
| 0 | |
| 3 | |
| 5 | |
| 10 | |
| 15 | |
| 16 | |
| 17 | |
| 20 | |
| 21 | |
| 25 | |
| 30 | |
| 35 | |
| 40 | |
| 42 | |
| 46 | |
| 50 | |
| 60 | |
| 70 | |
| 71 | |
| 75 | |
| 78 | |
| 80 | |
| 85 | |
| 90 | |
| 100 | |
| 105 | |
| 107 | |
| 110 | |
| 112 | |
| 120 | |
| 123 | |
| 125 | |
| 129 | |
| 130 | |
| 135 | |
| 137 | |
| 140 | |
| 150 | |
| 160 | |
| 170 | |
| 180 | |
| 190 | |
| 198 | |
| 200 | |
| 205 | |
| 210 | |
| 214 | |
| 215 | |
| 230 | |
| 240 | |
| 250 | |
| 257 | |
| 258 | |
| 260 | |
| 269 | |
| 270 | |
| 280 | |
| 284 | |
| 285 | |
| 288 | |
| 300 | |
| 320 | |
| 325 | |
| 332 | |
| 340 | |
| 350 | |
| 390 | |
| 395 | |
| 400 | |
| 403 | |
| 420 | |
| 450 | |
| 460 | |
| 470 | |
| 480 | |
| 490 | |
| 495 | |
| 500 | |
| 505 | |
| 522 | |
| 550 | |
| 555 | |
| 575 | |
| 600 | |
| 610 | |
| 650 | |
| 651 | |
| 690 | |
| 700 | |
| 720 | |
| 723 | |
| 750 | |
| 780 | |
| 781 | |
| 800 | |
| 820 | |
| 860 | |
| 869 | |
| 880 | |
| 900 | |
| 950 | |
| 975 | |
| 1000 | |
| 1064 | |
| 1080 | |
| 1090 | |
| 1200 | |
| 1290 | |
| 1300 | |
| 1350 | |
| 1400 | |
| 1480 | |
| 1500 | |
| 1511 | |
| 1550 | |
| 1560 | |
| 1575 | |
| 1600 | |
| 1700 | |
| 1750 | |
| 1800 | |
| 1897 | |
| 2000 | |
| 2050 | |
| 2100 | |
| 2200 | |
| 2217 | |
| 2250 | |
| 2336 | |
| 2400 | |
| 2500 | |
| 2690 | |
| 2800 | |
| 2850 | |
| 3000 | |
| 3280 | |
| 3600 | |
| 3750 | |
| 3800 | |
| 4000 | |
| 4060 | |
| 4200 | |
| 4500 | |
| 4506 | |
| 4600 | |
| 4950 | |
| 5000 | |
| 5100 | |
| 6000 | |
| 6500 | |
| 7000 | |
| 7600 | |
| 7700 | |
| 7800 | |
| 8500 | |
| 8800 | |
| 9000 | |
| 9500 | |
| 9600 | |
| 10000 | |
| 12000 | |
| 13000 | |
| 15000 | |
| 17200 | |
| 17600 | |
| 20000 | |
| 25000 | |
| 32000 | |
| 34000 | |
| 40000 | |
| 44000 | |
| 50000 | |
| 65000 | |
| 100000 | |
| 700000 | |
| Sysmiss |
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.