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

140214

Downloads

5665

Visit 2 (S9A3Q5)

Data file: S09A3_consnonfood

Overview

Valid: 151964

Valid: 23990289.12

Invalid: 391740

Invalid: 61617787.349

Type: Discrete

Decimal: 0

Start: 43

End: 48

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
105
110
115
120
125
130
135
140
145
150
160
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200
210
220
225
230
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275
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325
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340
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370
375
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390
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425
430
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460
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500
510
520
525
530
540
550
560
580
600
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630
640
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680
690
700
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750
760
780
790
800
820
840
850
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880
900
910
920
950
960
980
1000
1020
1040
1050
1060
1080
1090
1100
1120
1140
1150
1160
1180
1190
1200
1220
1250
1260
1280
1300
1320
1350
1360
1370
1380
1400
1440
1450
1460
1480
1500
1510
1520
1530
1550
1560
1600
1630
1640
1650
1700
1750
1800
1860
1880
1900
2000
2100
2130
2160
2180
2200
2230
2250
2280
2300
2310
2320
2350
2400
2420
2450
2480
2500
2550
2600
2640
2660
2700
2750
2800
2850
2880
2900
3000
3060
3100
3150
3180
3200
3300
3400
3500
3520
3530
3560
3600
3700
3720
3750
3760
3800
3900
3950
4000
4100
4200
4300
4340
4400
4450
4500
4600
4630
4700
4720
4730
4800
4980
5000
5200
5250
5400
5500
5600
5670
5700
5800
5900
6000
6100
6200
6370
6400
6460
6500
6600
6700
6800
6900
7000
7160
7200
7280
7400
7500
7680
7800
7850
8000
8100
8300
9000
9200
9400
9500
9540
9550
9600
9650
10000
10400
10500
10800
11000
11400
12000
12500
12550
12920
13000
13200
13375
14000
15000
18000
18100
18200
19250
19800
20000
20175
21000
21500
24000
25000
25300
26000
28000
30000
31800
32000
35000
36000
38000
40000
50000
55500
60000
64000
70000
200000
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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