Integrated Household Living Conditions Survey 2013 -2014
Rwanda, 2013 - 2014
Created on
Mar 13, 2015
Last modified
Mar 29, 2019
Page views
87995
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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
5th visit (s8a3q6)
Data file: cs_s8a3_expenditure
Overview
Valid:
533392
Invalid:
111
Type:
Discrete
Decimal:
0
Start:
120
End:
125
Width:
6
Range:
-
Format:
Questions and instructions
Categories
| Value | Category |
|---|---|
| 0 | None |
| 10 | |
| 15 | |
| 20 | |
| 25 | |
| 30 | |
| 40 | |
| 45 | |
| 50 | |
| 60 | |
| 70 | |
| 75 | |
| 80 | |
| 90 | |
| 100 | |
| 110 | |
| 120 | |
| 125 | |
| 130 | |
| 140 | |
| 150 | |
| 155 | |
| 160 | |
| 170 | |
| 175 | |
| 180 | |
| 200 | |
| 220 | |
| 225 | |
| 230 | |
| 240 | |
| 250 | |
| 260 | |
| 270 | |
| 280 | |
| 290 | |
| 300 | |
| 310 | |
| 320 | |
| 330 | |
| 340 | |
| 350 | |
| 360 | |
| 375 | |
| 380 | |
| 390 | |
| 400 | |
| 410 | |
| 420 | |
| 430 | |
| 440 | |
| 450 | |
| 460 | |
| 480 | |
| 500 | |
| 520 | |
| 525 | |
| 530 | |
| 540 | |
| 550 | |
| 560 | |
| 570 | |
| 580 | |
| 600 | |
| 630 | |
| 640 | |
| 650 | |
| 680 | |
| 690 | |
| 700 | |
| 710 | |
| 750 | |
| 800 | |
| 850 | |
| 900 | |
| 950 | |
| 1000 | |
| 1050 | |
| 1100 | |
| 1120 | |
| 1150 | |
| 1200 | |
| 1250 | |
| 1260 | |
| 1300 | |
| 1320 | |
| 1350 | |
| 1400 | |
| 1450 | |
| 1460 | |
| 1500 | |
| 1550 | |
| 1600 | |
| 1650 | |
| 1700 | |
| 1750 | |
| 1800 | |
| 1850 | |
| 1900 | |
| 1950 | |
| 2000 | |
| 2020 | |
| 2050 | |
| 2080 | |
| 2100 | |
| 2200 | |
| 2250 | |
| 2300 | |
| 2350 | |
| 2400 | |
| 2450 | |
| 2500 | |
| 2600 | |
| 2650 | |
| 2700 | |
| 2750 | |
| 2800 | |
| 2850 | |
| 2900 | |
| 2950 | |
| 3000 | |
| 3100 | |
| 3200 | |
| 3300 | |
| 3340 | |
| 3350 | |
| 3400 | |
| 3450 | |
| 3500 | |
| 3600 | |
| 3650 | |
| 3700 | |
| 3800 | |
| 3900 | |
| 4000 | |
| 4100 | |
| 4200 | |
| 4300 | |
| 4400 | |
| 4450 | |
| 4500 | |
| 4600 | |
| 4700 | |
| 4800 | |
| 4900 | |
| 5000 | |
| 5100 | |
| 5200 | |
| 5300 | |
| 5400 | |
| 5450 | |
| 5500 | |
| 5600 | |
| 5700 | |
| 5800 | |
| 5900 | |
| 6000 | |
| 6200 | |
| 6300 | |
| 6400 | |
| 6500 | |
| 6600 | |
| 6700 | |
| 6800 | |
| 7000 | |
| 7200 | |
| 7300 | |
| 7400 | |
| 7500 | |
| 7600 | |
| 7700 | |
| 7800 | |
| 7900 | |
| 8000 | |
| 8200 | |
| 8300 | |
| 8400 | |
| 8500 | |
| 8600 | |
| 8700 | |
| 9000 | |
| 9100 | |
| 9400 | |
| 9700 | |
| 10000 | |
| 10300 | |
| 10800 | |
| 11500 | |
| 12000 | |
| 12100 | |
| 12300 | |
| 13000 | |
| 13500 | |
| 15000 | |
| 16000 | |
| 16500 | |
| 18000 | |
| 19000 | |
| 20000 | |
| 20400 | |
| 21500 | |
| 22800 | |
| 23000 | |
| 25000 | |
| 30000 | |
| 36000 | |
| 45000 | |
| 55000 | |
| 60000 | |
| 67000 | |
| 70000 | |
| 85500 | |
| 999999 | 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.