Integrated Household Living Conditions Survey 2010-2011
Rwanda, 2010 - 2011
Created on
Jul 10, 2013
Last modified
Mar 29, 2019
Page views
140029
Downloads
5662
- Data files
- S01_hhmembers_S02_education_S03_health_S04_migration
- S05ABCD_housing
- S05E_services
- S06AB_occupation
- S06CDEF_jobs
- S06G_timeuse
- S07_enterprise
- S08A1_livestock
- S08A2_livestock
- S08A3_livestock
- S08A4_livestock
- S08B1_landtransactions
- S08B2_equipment
- S08C_parcels
- S08D_croplarge
- S08E_cropsmall
- S08F_otheragric
- S08G_inputs
- S08H_processing
- S09A1_consnonfood
- S09A2_consnonfood
- S09A3_consnonfood
- S09B_consfood
- S09C_consownfood
- S10A_transfersout
- S10B_transfersin
- S10C_otherinc
- S10D_schemes
- S10E_otherexp
- S11A1_credit
- S11A2_credit
- S11B_durables
- S11C_savings
Visit 4 (S9A3Q7)
Data file: S09A3_consnonfood
Overview
Valid:
151964
Valid:
23990289.12
Invalid:
391740
Invalid:
61617787.349
Type:
Discrete
Decimal:
0
Start:
55
End:
60
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 | |
| 60 | |
| 70 | |
| 75 | |
| 80 | |
| 90 | |
| 100 | |
| 110 | |
| 115 | |
| 120 | |
| 125 | |
| 130 | |
| 135 | |
| 140 | |
| 150 | |
| 160 | |
| 170 | |
| 175 | |
| 180 | |
| 190 | |
| 200 | |
| 210 | |
| 220 | |
| 225 | |
| 230 | |
| 240 | |
| 250 | |
| 260 | |
| 265 | |
| 270 | |
| 275 | |
| 280 | |
| 290 | |
| 300 | |
| 310 | |
| 320 | |
| 325 | |
| 330 | |
| 340 | |
| 345 | |
| 350 | |
| 360 | |
| 370 | |
| 375 | |
| 380 | |
| 390 | |
| 400 | |
| 420 | |
| 430 | |
| 440 | |
| 450 | |
| 455 | |
| 460 | |
| 470 | |
| 480 | |
| 490 | |
| 500 | |
| 520 | |
| 525 | |
| 530 | |
| 540 | |
| 550 | |
| 560 | |
| 570 | |
| 580 | |
| 600 | |
| 610 | |
| 620 | |
| 625 | |
| 640 | |
| 650 | |
| 660 | |
| 670 | |
| 680 | |
| 700 | |
| 720 | |
| 725 | |
| 740 | |
| 750 | |
| 760 | |
| 780 | |
| 800 | |
| 830 | |
| 850 | |
| 860 | |
| 900 | |
| 910 | |
| 920 | |
| 950 | |
| 960 | |
| 980 | |
| 990 | |
| 1000 | |
| 1020 | |
| 1050 | |
| 1080 | |
| 1090 | |
| 1100 | |
| 1110 | |
| 1120 | |
| 1150 | |
| 1160 | |
| 1200 | |
| 1215 | |
| 1250 | |
| 1300 | |
| 1350 | |
| 1360 | |
| 1380 | |
| 1400 | |
| 1440 | |
| 1450 | |
| 1460 | |
| 1480 | |
| 1500 | |
| 1520 | |
| 1600 | |
| 1640 | |
| 1700 | |
| 1750 | |
| 1800 | |
| 1840 | |
| 1850 | |
| 1860 | |
| 1880 | |
| 1890 | |
| 1900 | |
| 1920 | |
| 1950 | |
| 2000 | |
| 2100 | |
| 2120 | |
| 2160 | |
| 2200 | |
| 2240 | |
| 2250 | |
| 2300 | |
| 2320 | |
| 2400 | |
| 2410 | |
| 2500 | |
| 2550 | |
| 2570 | |
| 2600 | |
| 2700 | |
| 2800 | |
| 2850 | |
| 2860 | |
| 2900 | |
| 2950 | |
| 3000 | |
| 3060 | |
| 3100 | |
| 3150 | |
| 3200 | |
| 3250 | |
| 3300 | |
| 3370 | |
| 3400 | |
| 3410 | |
| 3500 | |
| 3600 | |
| 3700 | |
| 3750 | |
| 3800 | |
| 3900 | |
| 4000 | |
| 4030 | |
| 4080 | |
| 4100 | |
| 4200 | |
| 4300 | |
| 4400 | |
| 4500 | |
| 4560 | |
| 4600 | |
| 4620 | |
| 4700 | |
| 4800 | |
| 4840 | |
| 4900 | |
| 4980 | |
| 5000 | |
| 5050 | |
| 5075 | |
| 5200 | |
| 5300 | |
| 5400 | |
| 5500 | |
| 5600 | |
| 5700 | |
| 5800 | |
| 5820 | |
| 5880 | |
| 6000 | |
| 6100 | |
| 6200 | |
| 6300 | |
| 6400 | |
| 6500 | |
| 6600 | |
| 6650 | |
| 6745 | |
| 6800 | |
| 6900 | |
| 7000 | |
| 7100 | |
| 7200 | |
| 7340 | |
| 7400 | |
| 7500 | |
| 7520 | |
| 7530 | |
| 7700 | |
| 7720 | |
| 7800 | |
| 7900 | |
| 8000 | |
| 8400 | |
| 8500 | |
| 8700 | |
| 8800 | |
| 9000 | |
| 9480 | |
| 9500 | |
| 9600 | |
| 10000 | |
| 10380 | |
| 10800 | |
| 11000 | |
| 11400 | |
| 11440 | |
| 12000 | |
| 12700 | |
| 12900 | |
| 12960 | |
| 13000 | |
| 14000 | |
| 14350 | |
| 15000 | |
| 16000 | |
| 16110 | |
| 16500 | |
| 20000 | |
| 21000 | |
| 21600 | |
| 22000 | |
| 24000 | |
| 25000 | |
| 25950 | |
| 28000 | |
| 30000 | |
| 31100 | |
| 31800 | |
| 35000 | |
| 36000 | |
| 40000 | |
| 50000 | |
| 60000 | |
| 80000 | |
| 100000 | |
| 140000 | |
| 460000 | |
| 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.
- 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.