Integrated Household Living Conditions Survey 2013 -2014
Rwanda, 2013 - 2014
Created on
Mar 13, 2015
Last modified
Mar 29, 2019
Page views
87689
Downloads
37628
- 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
Amount received from sales last 12 months (s7fq3)
Data file: cs_s7f_income_agriculture
Overview
Valid:
4277
Invalid:
168751
Type:
Discrete
Decimal:
0
Start:
88
End:
95
Width:
8
Range:
-
Format:
Questions and instructions
Categories
| Value | Category |
|---|---|
| 0 | |
| 50 | |
| 100 | |
| 150 | |
| 200 | |
| 250 | |
| 300 | |
| 320 | |
| 350 | |
| 400 | |
| 420 | |
| 450 | |
| 500 | |
| 550 | |
| 600 | |
| 650 | |
| 700 | |
| 750 | |
| 800 | |
| 850 | |
| 900 | |
| 950 | |
| 1000 | |
| 1100 | |
| 1150 | |
| 1200 | |
| 1250 | |
| 1300 | |
| 1400 | |
| 1500 | |
| 1600 | |
| 1700 | |
| 1750 | |
| 1800 | |
| 1840 | |
| 1900 | |
| 1980 | |
| 2000 | |
| 2100 | |
| 2200 | |
| 2250 | |
| 2300 | |
| 2400 | |
| 2500 | |
| 2600 | |
| 2700 | |
| 2750 | |
| 2800 | |
| 2900 | |
| 3000 | |
| 3100 | |
| 3200 | |
| 3250 | |
| 3400 | |
| 3500 | |
| 3600 | |
| 3700 | |
| 3750 | |
| 3800 | |
| 3900 | |
| 4000 | |
| 4200 | |
| 4300 | |
| 4400 | |
| 4500 | |
| 4600 | |
| 4700 | |
| 4750 | |
| 4800 | |
| 5000 | |
| 5250 | |
| 5300 | |
| 5400 | |
| 5450 | |
| 5500 | |
| 5600 | |
| 5700 | |
| 5800 | |
| 6000 | |
| 6200 | |
| 6400 | |
| 6500 | |
| 6750 | |
| 7000 | |
| 7200 | |
| 7400 | |
| 7500 | |
| 8000 | |
| 8100 | |
| 8200 | |
| 8300 | |
| 8400 | |
| 8500 | |
| 8700 | |
| 8800 | |
| 9000 | |
| 9500 | |
| 9600 | |
| 9700 | |
| 9800 | |
| 10000 | |
| 10100 | |
| 10200 | |
| 10500 | |
| 10600 | |
| 11000 | |
| 11200 | |
| 11500 | |
| 11600 | |
| 11700 | |
| 12000 | |
| 12200 | |
| 12300 | |
| 12500 | |
| 12700 | |
| 12800 | |
| 13000 | |
| 13200 | |
| 13500 | |
| 14000 | |
| 14400 | |
| 14500 | |
| 14700 | |
| 14800 | |
| 15000 | |
| 15500 | |
| 15600 | |
| 15900 | |
| 16000 | |
| 16100 | |
| 16200 | |
| 16500 | |
| 17000 | |
| 17500 | |
| 17600 | |
| 18000 | |
| 18500 | |
| 19000 | |
| 19500 | |
| 19700 | |
| 20000 | |
| 21000 | |
| 21600 | |
| 22000 | |
| 22600 | |
| 23000 | |
| 23500 | |
| 24000 | |
| 24500 | |
| 25000 | |
| 25800 | |
| 26000 | |
| 26500 | |
| 26600 | |
| 27000 | |
| 27500 | |
| 27700 | |
| 28000 | |
| 28800 | |
| 29000 | |
| 29500 | |
| 30000 | |
| 31000 | |
| 31500 | |
| 32000 | |
| 32400 | |
| 32500 | |
| 32800 | |
| 33000 | |
| 33600 | |
| 34000 | |
| 35000 | |
| 36000 | |
| 37000 | |
| 37500 | |
| 38400 | |
| 39000 | |
| 40000 | |
| 42000 | |
| 43000 | |
| 43500 | |
| 44000 | |
| 44400 | |
| 45000 | |
| 46000 | |
| 46500 | |
| 47000 | |
| 47500 | |
| 48000 | |
| 49000 | |
| 50000 | |
| 50400 | |
| 51000 | |
| 52000 | |
| 54000 | |
| 54600 | |
| 55000 | |
| 55200 | |
| 56000 | |
| 59000 | |
| 60000 | |
| 62000 | |
| 63000 | |
| 64000 | |
| 64500 | |
| 64800 | |
| 65000 | |
| 68000 | |
| 70000 | |
| 72000 | |
| 75000 | |
| 76000 | |
| 79920 | |
| 80000 | |
| 82500 | |
| 83000 | |
| 86000 | |
| 88000 | |
| 90000 | |
| 91200 | |
| 92000 | |
| 92500 | |
| 93000 | |
| 95000 | |
| 100000 | |
| 105000 | |
| 110000 | |
| 111000 | |
| 112000 | |
| 114000 | |
| 118400 | |
| 120000 | |
| 123000 | |
| 124000 | |
| 125000 | |
| 128000 | |
| 130000 | |
| 138000 | |
| 140000 | |
| 145000 | |
| 150000 | |
| 152000 | |
| 160000 | |
| 162000 | |
| 163000 | |
| 165000 | |
| 168000 | |
| 170000 | |
| 175000 | |
| 180000 | |
| 181000 | |
| 182500 | |
| 189000 | |
| 190000 | |
| 196000 | |
| 200000 | |
| 210000 | |
| 224000 | |
| 240000 | |
| 250000 | |
| 257000 | |
| 260000 | |
| 267300 | |
| 270000 | |
| 275000 | |
| 280000 | |
| 282200 | |
| 300000 | |
| 320000 | |
| 325000 | |
| 335000 | |
| 336000 | |
| 338000 | |
| 350000 | |
| 360000 | |
| 368000 | |
| 388800 | |
| 390000 | |
| 400000 | |
| 450000 | |
| 500000 | |
| 550000 | |
| 635000 | |
| 800000 | |
| 864000 | |
| 900000 | |
| 1000000 | |
| 1600000 | |
| 1800000 | |
| 3600000 | |
| 99999999 | 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.