Integrated Household Living Conditions Survey 2013 -2014
Rwanda, 2013 - 2014
Created on
Mar 13, 2015
Last modified
Mar 29, 2019
Page views
87781
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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
Article 1 purchase price (s10bq4a)
Data file: cs_s10b_goods
Overview
Valid:
20696
Invalid:
368617
Type:
Discrete
Decimal:
0
Start:
79
End:
86
Width:
8
Range:
-
Format:
Questions and instructions
Categories
| Value | Category |
|---|---|
| 0 | |
| 6 | |
| 500 | |
| 600 | |
| 700 | |
| 800 | |
| 1000 | |
| 1100 | |
| 1200 | |
| 1300 | |
| 1400 | |
| 1500 | |
| 1600 | |
| 1700 | |
| 1800 | |
| 1900 | |
| 2000 | |
| 2200 | |
| 2300 | |
| 2500 | |
| 2600 | |
| 2700 | |
| 2800 | |
| 3000 | |
| 3100 | |
| 3200 | |
| 3300 | |
| 3400 | |
| 3500 | |
| 3600 | |
| 3700 | |
| 3800 | |
| 3900 | |
| 4000 | |
| 4100 | |
| 4200 | |
| 4250 | |
| 4300 | |
| 4400 | |
| 4500 | |
| 4600 | |
| 4700 | |
| 4800 | |
| 4900 | |
| 5000 | |
| 5100 | |
| 5200 | |
| 5300 | |
| 5400 | |
| 5500 | |
| 5600 | |
| 5700 | |
| 5800 | |
| 5900 | |
| 6000 | |
| 6200 | |
| 6300 | |
| 6400 | |
| 6500 | |
| 6600 | |
| 6700 | |
| 6800 | |
| 6900 | |
| 7000 | |
| 7200 | |
| 7300 | |
| 7500 | |
| 7800 | |
| 8000 | |
| 8200 | |
| 8300 | |
| 8500 | |
| 8600 | |
| 8700 | |
| 8800 | |
| 8900 | |
| 9000 | |
| 9200 | |
| 9500 | |
| 9600 | |
| 9700 | |
| 9900 | |
| 10000 | |
| 10500 | |
| 11000 | |
| 11400 | |
| 11500 | |
| 11700 | |
| 11800 | |
| 12000 | |
| 12400 | |
| 12500 | |
| 13000 | |
| 13500 | |
| 13526 | |
| 13600 | |
| 13700 | |
| 14000 | |
| 14500 | |
| 14700 | |
| 15000 | |
| 15500 | |
| 16000 | |
| 16500 | |
| 17000 | |
| 17500 | |
| 18000 | |
| 18500 | |
| 19000 | |
| 19500 | |
| 20000 | |
| 20200 | |
| 21000 | |
| 21500 | |
| 21800 | |
| 22000 | |
| 22500 | |
| 23000 | |
| 23500 | |
| 24000 | |
| 24500 | |
| 24800 | |
| 25000 | |
| 26000 | |
| 27000 | |
| 27600 | |
| 28000 | |
| 28500 | |
| 29000 | |
| 29800 | |
| 30000 | |
| 31000 | |
| 31500 | |
| 32000 | |
| 32500 | |
| 33000 | |
| 33500 | |
| 34000 | |
| 35000 | |
| 36000 | |
| 37000 | |
| 37500 | |
| 38000 | |
| 39000 | |
| 39500 | |
| 40000 | |
| 41000 | |
| 41500 | |
| 42000 | |
| 43000 | |
| 43500 | |
| 44000 | |
| 45000 | |
| 46000 | |
| 47000 | |
| 48000 | |
| 49000 | |
| 49500 | |
| 50000 | |
| 51000 | |
| 52000 | |
| 53000 | |
| 54000 | |
| 55000 | |
| 56000 | |
| 57000 | |
| 57500 | |
| 58000 | |
| 59800 | |
| 60000 | |
| 61000 | |
| 62000 | |
| 63000 | |
| 63300 | |
| 64000 | |
| 65000 | |
| 66000 | |
| 67000 | |
| 69000 | |
| 70000 | |
| 72000 | |
| 73500 | |
| 74000 | |
| 75000 | |
| 78000 | |
| 79000 | |
| 80000 | |
| 82000 | |
| 84000 | |
| 85000 | |
| 86000 | |
| 86400 | |
| 88000 | |
| 90000 | |
| 92000 | |
| 92400 | |
| 93000 | |
| 94000 | |
| 95000 | |
| 99000 | |
| 100000 | |
| 103000 | |
| 104500 | |
| 105000 | |
| 110000 | |
| 113500 | |
| 115000 | |
| 120000 | |
| 125000 | |
| 128000 | |
| 130000 | |
| 138800 | |
| 140000 | |
| 150000 | |
| 152000 | |
| 154000 | |
| 160000 | |
| 165000 | |
| 167000 | |
| 170000 | |
| 172500 | |
| 175000 | |
| 176000 | |
| 180000 | |
| 190000 | |
| 195000 | |
| 199000 | |
| 200000 | |
| 205000 | |
| 210000 | |
| 220000 | |
| 230000 | |
| 234000 | |
| 240000 | |
| 250000 | |
| 258400 | |
| 260000 | |
| 268000 | |
| 270000 | |
| 280000 | |
| 285000 | |
| 295000 | |
| 300000 | |
| 305000 | |
| 310000 | |
| 310200 | |
| 315000 | |
| 320000 | |
| 325000 | |
| 335000 | |
| 340000 | |
| 350000 | |
| 360000 | |
| 370000 | |
| 380000 | |
| 400000 | |
| 402000 | |
| 420000 | |
| 450000 | |
| 470000 | |
| 480000 | |
| 485000 | |
| 489600 | |
| 500000 | |
| 520000 | |
| 540000 | |
| 550000 | |
| 600000 | |
| 650000 | |
| 660000 | |
| 700000 | |
| 726000 | |
| 750000 | |
| 800000 | |
| 900000 | |
| 920000 | |
| 1000000 | |
| 1200000 | |
| 1250000 | |
| 2000000 | |
| 2600000 | |
| 3000000 | |
| 3200000 | |
| 4000000 | |
| 5000000 | |
| 5200000 | |
| 6000000 | |
| 6600000 | |
| 7000000 | |
| 8000000 | |
| 8700000 | |
| 9000000 | |
| 10000000 | |
| 12000000 | |
| 15000000 | |
| 21760000 | |
| 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.