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Integrated Household Living Conditions Survey 2010-2011

Rwanda, 2010 - 2011
National Institute of Statistics of Rwanda (NISR)
Created on March 29, 2019 Last modified March 29, 2019 Page views 27581 Download 3223 Metadata DDI/XML JSON
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Visit 7 (S9BQ10)

Data file: S09B_consfood

Overview

Valid: 506925
Valid: 80177038.493
Invalid: 1596351
Invalid: 250991046.797
Type: discrete
Range: -
Format:

Questions and instructions

Literal question
How much did you spend on "…." since my last visit?
Categories
Value Category
0 None
5
10
15
20
25
30
35
40
50
55
60
65
70
75
80
85
90
95
100
105
110
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285
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375
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715
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765
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800
810
815
820
825
830
835
840
850
860
870
875
880
890
900
910
920
935
940
945
950
960
965
970
975
980
990
1000
1010
1020
1025
1030
1040
1045
1050
1060
1075
1080
1100
1110
1120
1125
1130
1140
1150
1170
1180
1200
1220
1225
1240
1250
1260
1265
1270
1280
1300
1320
1350
1360
1375
1380
1400
1410
1415
1430
1440
1450
1460
1470
1485
1500
1520
1525
1540
1550
1560
1570
1575
1580
1600
1610
1650
1700
1710
1720
1725
1730
1750
1760
1790
1800
1850
1860
1880
1900
1925
1950
1960
1980
2000
2010
2025
2050
2080
2100
2150
2160
2200
2225
2240
2250
2275
2300
2340
2345
2400
2440
2450
2470
2500
2520
2550
2600
2625
2640
2650
2700
2720
2750
2800
2840
2850
2860
2880
2900
2950
3000
3100
3150
3200
3250
3300
3400
3450
3500
3580
3600
3650
3700
3720
3750
3780
3800
3840
3850
3900
3920
4000
4050
4200
4250
4300
4400
4500
4550
4600
4650
4700
4750
4800
4900
5000
5020
5070
5100
5180
5200
5250
5280
5300
5350
5400
5500
5550
5600
5700
5760
5800
5900
6000
6100
6200
6250
6300
6400
6500
6600
6700
6750
6800
6900
7000
7100
7200
7300
7400
7500
7600
7700
8000
8200
8300
8400
8500
8600
8800
9000
9200
9300
9700
9900
10000
10500
11000
11200
11250
11500
11550
12000
12500
12700
13000
13500
13680
13700
13800
13850
13900
14000
14700
14800
15000
15500
16000
16500
17000
17500
17700
17800
17900
18000
19000
19500
19600
20000
20100
20400
20700
21000
23000
24000
25750
27000
30000
31000
34000
35000
38500
40000
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.

Imputation and derivation

Imputation
If missing during visit:
- Impute by habitual consumption over the last year and habitual consumption reported on previous visits,
- Impute by empty (not applicable) any consumption that is reported and not habitual.