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

118676

Downloads

4911

Visit 4 (S9BQ7)

Data file: S09B_consfood

Overview

Valid: 506925

Valid: 80177038.493

Invalid: 1596351

Invalid: 250991046.797

Type: Discrete

Decimal: 0

Start: 53

End: 57

Width: 5

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
45
50
60
65
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80
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815
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935
940
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965
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975
980
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1000
1005
1020
1030
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1045
1050
1060
1070
1080
1100
1110
1120
1125
1130
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1150
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1170
1175
1180
1200
1220
1240
1250
1260
1265
1270
1275
1280
1300
1320
1330
1350
1360
1365
1370
1380
1400
1410
1425
1430
1440
1450
1480
1490
1500
1510
1520
1530
1550
1560
1570
1580
1600
1620
1625
1650
1680
1700
1710
1720
1735
1750
1755
1780
1800
1850
1865
1890
1900
1920
1930
1950
1960
1980
2000
2030
2040
2050
2060
2090
2100
2120
2130
2150
2160
2200
2240
2250
2300
2320
2340
2350
2400
2450
2500
2540
2550
2570
2580
2600
2620
2625
2640
2650
2700
2720
2730
2750
2760
2800
2850
2900
2950
2970
2980
3000
3040
3100
3120
3150
3190
3200
3250
3300
3360
3390
3400
3450
3480
3500
3520
3600
3610
3650
3700
3750
3780
3800
3900
3960
4000
4050
4100
4125
4150
4160
4200
4250
4300
4400
4450
4500
4600
4680
4700
4750
4800
4850
4900
5000
5020
5040
5100
5150
5200
5300
5400
5500
5600
5700
5750
5800
5900
6000
6100
6200
6250
6300
6400
6500
6700
6800
6900
7000
7200
7500
7700
7800
8000
8250
8400
8500
8750
8780
9000
9100
9200
9500
9600
9720
9780
10000
10100
10120
10150
10200
10500
10550
10800
10900
11000
11200
11250
11500
11600
11700
12000
12300
12500
13000
13200
13500
13600
14000
14100
14250
14500
14700
14800
15000
15500
15600
16000
16500
16800
17000
17100
17500
17900
18000
18200
18500
20000
20500
20700
21000
22000
23000
23240
24000
25000
27000
29800
30000
30300
32200
34000
37500
45000
50000
65000
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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