Integrated Household Living Conditions Survey 2013 -2014
Rwanda, 2013 - 2014
Created on
Mar 13, 2015
Last modified
Mar 29, 2019
Page views
87968
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- Data files
- cs_s0_s5_household
- cs_s1_s2_s3_s4_s6a_s6e_s6f_person
-
cs_s5e_access
to services - cs_s6b_employement_6c_salaried_s6d_business
- cs_s7a1_livestock
- cs_s7a2_livestock
- cs_s7a3_livestock
- cs_s7a4_livestock
- cs_s7b1_land_agriculture
- cs_s7b2_land_agriculture
- cs_s7c_parcels
- cs_s7d_large_crop
- cs_s7e_small_crop
- cs_s7f_income_agriculture
- cs_s7g_expenditure_agriculture
- cs_s7h_transformation_agriculture
- cs_s8a1_expenditure
- cs_s8a2_expenditure
- cs_s8a3_expenditure
- cs_s8b_expenditure
- cs_s8c_farming
- cs_s9a_transfers_out
- cs_s9b_transfers_in
- cs_s9c_vup
- cs_s9c1_vup
- cs_s9d_other_income
- cs_s9e_other_expenditure
- cs_s10a1_credits
- cs_s10a2_credits
- cs_s10b_goods
- cs_s10c_savings
- current_main_activity6
- EICV3_Povertyfile_Jan2014
- EICV4_poverty_file
Income support received in last 4 weeks (amount) (s9dq2)
Data file: cs_s9d_other_income
Overview
Valid:
22744
Invalid:
265636
Type:
Discrete
Decimal:
0
Start:
81
End:
87
Width:
7
Range:
-
Format:
Questions and instructions
Categories
| Value | Category |
|---|---|
| 0 | |
| 1 | |
| 2 | |
| 4 | |
| 5 | |
| 7 | |
| 100 | |
| 150 | |
| 200 | |
| 250 | |
| 330 | |
| 400 | |
| 500 | |
| 600 | |
| 700 | |
| 750 | |
| 770 | |
| 800 | |
| 850 | |
| 900 | |
| 1000 | |
| 1050 | |
| 1070 | |
| 1100 | |
| 1200 | |
| 1300 | |
| 1400 | |
| 1416 | |
| 1500 | |
| 1550 | |
| 1583 | |
| 1600 | |
| 1700 | |
| 1750 | |
| 1800 | |
| 1900 | |
| 1950 | |
| 2000 | |
| 2040 | |
| 2050 | |
| 2100 | |
| 2150 | |
| 2200 | |
| 2250 | |
| 2300 | |
| 2350 | |
| 2360 | |
| 2400 | |
| 2450 | |
| 2500 | |
| 2530 | |
| 2550 | |
| 2600 | |
| 2650 | |
| 2700 | |
| 2750 | |
| 2800 | |
| 2900 | |
| 2950 | |
| 3000 | |
| 3150 | |
| 3200 | |
| 3250 | |
| 3300 | |
| 3350 | |
| 3400 | |
| 3500 | |
| 3550 | |
| 3600 | |
| 3700 | |
| 3850 | |
| 3900 | |
| 3950 | |
| 4000 | |
| 4050 | |
| 4150 | |
| 4200 | |
| 4250 | |
| 4350 | |
| 4500 | |
| 4600 | |
| 4700 | |
| 4750 | |
| 4800 | |
| 5000 | |
| 5100 | |
| 5200 | |
| 5300 | |
| 5350 | |
| 5400 | |
| 5500 | |
| 5600 | |
| 5700 | |
| 5800 | |
| 5940 | |
| 5950 | |
| 6000 | |
| 6100 | |
| 6200 | |
| 6300 | |
| 6350 | |
| 6500 | |
| 6600 | |
| 6850 | |
| 6880 | |
| 6900 | |
| 7000 | |
| 7150 | |
| 7200 | |
| 7300 | |
| 7400 | |
| 7500 | |
| 7600 | |
| 7700 | |
| 7760 | |
| 7800 | |
| 8000 | |
| 8100 | |
| 8215 | |
| 8300 | |
| 8500 | |
| 8594 | |
| 8600 | |
| 8650 | |
| 9000 | |
| 9100 | |
| 9200 | |
| 9320 | |
| 9500 | |
| 9600 | |
| 9825 | |
| 10000 | |
| 10300 | |
| 10500 | |
| 10600 | |
| 10800 | |
| 11000 | |
| 11100 | |
| 11300 | |
| 11500 | |
| 11588 | |
| 11800 | |
| 12000 | |
| 12150 | |
| 12200 | |
| 12350 | |
| 12500 | |
| 12600 | |
| 12800 | |
| 13000 | |
| 13300 | |
| 13500 | |
| 14000 | |
| 14068 | |
| 14400 | |
| 14500 | |
| 14540 | |
| 14900 | |
| 15000 | |
| 15400 | |
| 15500 | |
| 15600 | |
| 15800 | |
| 16000 | |
| 16300 | |
| 16500 | |
| 17000 | |
| 17100 | |
| 17500 | |
| 17600 | |
| 17870 | |
| 18000 | |
| 18250 | |
| 18280 | |
| 18600 | |
| 18800 | |
| 19000 | |
| 19800 | |
| 20000 | |
| 20300 | |
| 21000 | |
| 21405 | |
| 21500 | |
| 21600 | |
| 22000 | |
| 22200 | |
| 22440 | |
| 22500 | |
| 23000 | |
| 23300 | |
| 23400 | |
| 23500 | |
| 23900 | |
| 24000 | |
| 25000 | |
| 25500 | |
| 25600 | |
| 25800 | |
| 26000 | |
| 26400 | |
| 26500 | |
| 26800 | |
| 27000 | |
| 27500 | |
| 28000 | |
| 28260 | |
| 28300 | |
| 29000 | |
| 30000 | |
| 31000 | |
| 31500 | |
| 32000 | |
| 32600 | |
| 34000 | |
| 35000 | |
| 35550 | |
| 35750 | |
| 36000 | |
| 36500 | |
| 37000 | |
| 37500 | |
| 38000 | |
| 38400 | |
| 38500 | |
| 38800 | |
| 39240 | |
| 40000 | |
| 40500 | |
| 41000 | |
| 43000 | |
| 45000 | |
| 46000 | |
| 46200 | |
| 47000 | |
| 48000 | |
| 49500 | |
| 50000 | |
| 51000 | |
| 51500 | |
| 52000 | |
| 52630 | |
| 52700 | |
| 53000 | |
| 54000 | |
| 55000 | |
| 59500 | |
| 60000 | |
| 61160 | |
| 61650 | |
| 62000 | |
| 63500 | |
| 64000 | |
| 65000 | |
| 67000 | |
| 69000 | |
| 70000 | |
| 71500 | |
| 72000 | |
| 73300 | |
| 75000 | |
| 77000 | |
| 78000 | |
| 79000 | |
| 80000 | |
| 81000 | |
| 85000 | |
| 87000 | |
| 89600 | |
| 90000 | |
| 91000 | |
| 92000 | |
| 92500 | |
| 94000 | |
| 95000 | |
| 100000 | |
| 102000 | |
| 105000 | |
| 110000 | |
| 115000 | |
| 115200 | |
| 120000 | |
| 125000 | |
| 130000 | |
| 140000 | |
| 145000 | |
| 147500 | |
| 150000 | |
| 152000 | |
| 160000 | |
| 170000 | |
| 170260 | |
| 172000 | |
| 176500 | |
| 180000 | |
| 186300 | |
| 190000 | |
| 195500 | |
| 200000 | |
| 201700 | |
| 210000 | |
| 220000 | |
| 230000 | |
| 250000 | |
| 260000 | |
| 270000 | |
| 280000 | |
| 300000 | |
| 325000 | |
| 330000 | |
| 350000 | |
| 369564 | |
| 375000 | |
| 400000 | |
| 450000 | |
| 456000 | |
| 498125 | |
| 500000 | |
| 555000 | |
| 600000 | |
| 650000 | |
| 700000 | |
| 701560 | |
| 800000 | |
| 840000 | |
| 845000 | |
| 1000000 | |
| 1200000 | |
| 1500000 | |
| 2000000 | |
| 2300000 | |
| 4500000 | |
| 5000000 | |
| 9999999 | Missing |
| 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.