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

140101

Downloads

5662

Visit 5 (S9A3Q8)

Data file: S09A3_consnonfood

Overview

Valid: 151964

Valid: 23990289.12

Invalid: 391740

Invalid: 61617787.349

Type: Discrete

Decimal: 0

Start: 61

End: 66

Width: 6

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
35
40
45
50
55
60
70
75
80
90
100
110
120
125
130
135
140
145
150
160
170
175
180
190
200
210
220
225
230
240
250
260
270
275
280
300
310
315
320
325
330
340
350
360
370
375
380
390
400
410
420
430
440
450
460
470
475
480
500
510
520
530
540
545
550
560
580
600
610
620
630
640
650
660
670
680
700
720
730
740
750
760
780
790
800
820
840
850
860
880
900
910
920
950
960
970
980
1000
1040
1050
1070
1080
1090
1100
1140
1150
1200
1250
1260
1280
1300
1310
1320
1350
1360
1400
1410
1420
1450
1480
1500
1550
1590
1600
1640
1650
1700
1720
1780
1800
1810
1850
1900
1920
1940
1950
1980
2000
2010
2050
2080
2100
2120
2150
2160
2200
2250
2280
2300
2320
2340
2360
2400
2500
2540
2550
2560
2600
2700
2750
2790
2800
2850
2865
2900
3000
3060
3100
3150
3180
3200
3250
3300
3400
3480
3500
3550
3600
3640
3650
3700
3800
3820
3900
4000
4020
4050
4100
4200
4250
4300
4400
4500
4600
4660
4700
4750
4800
4840
4980
5000
5100
5200
5250
5300
5400
5500
5600
5700
5800
5900
5960
6000
6060
6200
6300
6400
6420
6500
6700
6720
6800
6900
7000
7200
7300
7500
7700
7800
8000
8100
8200
8400
8500
8600
8800
9000
9200
9300
9600
10000
10100
10400
10500
10800
10940
11000
11200
12000
12400
12500
12850
13000
13500
14000
14300
15000
15600
16000
17000
18000
18720
20000
21000
22200
24000
24050
25000
30000
31800
36000
39500
40000
50000
60000
62760
65000
70000
90000
115000
120000
150000
250000
400300
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.

Back to Catalog