Integrated Household Living Conditions Survey 2010-2011

Rwanda, 2010 - 2011

Reference ID

RWA_2010_EICV-III_v01_M

Producer(s)

National Institute of Statistics of Rwanda (NISR)

Metadata

DDI/XML JSON

Created on

Jul 10, 2013

Last modified

Mar 29, 2019

Page views

97635

Downloads

4677

Visit 10 (S9BQ13)

Data file: S09B_consfood

Overview

Valid: 73392

Valid: 11878619.619

Invalid: 2029884

Invalid: 319289465.671

Type: Discrete

Decimal: 0

Start: 84

End: 88

Width: 5

Range: -

Format:

Questions and instructions

Literal question

How much did you spend on "…." since my last visit?

Categories

Value	Category
0	None
10
15
20
25
30
40
50
60
70
75
80
90
100
110
120
125
130
135
140
150
160
165
170
175
180
190
200
210
220
225
230
240
250
255
260
270
275
280
285
290
300
310
315
320
325
330
340
350
360
370
375
380
385
390
400
410
415
420
425
430
435
440
450
460
470
475
480
490
495
500
510
520
525
530
540
545
550
555
560
570
575
580
590
595
600
605
610
620
630
635
640
650
660
670
675
680
690
700
710
720
725
730
735
740
750
760
770
775
780
800
810
820
825
840
850
860
870
875
880
900
910
920
925
930
940
950
960
970
975
980
985
990
1000
1020
1040
1050
1070
1080
1100
1110
1120
1125
1140
1150
1170
1190
1200
1240
1250
1280
1290
1300
1320
1350
1380
1400
1430
1440
1450
1460
1480
1495
1500
1530
1550
1600
1620
1625
1650
1670
1700
1725
1750
1790
1800
1880
1900
1920
1950
1960
1980
2000
2100
2130
2160
2200
2250
2260
2300
2350
2400
2475
2500
2550
2600
2625
2650
2700
2750
2800
2850
2900
2960
3000
3050
3100
3160
3200
3250
3300
3350
3360
3400
3500
3550
3600
3650
3700
3750
3800
3900
4000
4050
4200
4300
4400
4500
4600
4700
4800
5000
5050
5100
5200
5400
5500
5600
5700
5800
5850
6000
6200
6300
6400
6500
6700
6720
6740
6800
6900
7000
7200
7500
7600
7700
8000
8400
8500
8600
8800
9000
9100
9600
9650
9800
9900
10000
10500
11000
11200
11250
11500
11800
12000
12400
12500
12700
13000
13500
13600
14000
14500
15000
15500
15600
15800
16000
17000
17500
18000
18600
19000
20000
21200
21500
22000
22800
23000
25000
26200
27700
28000
30000
32000
36000
37000
60000
63000
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.

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