Integrated Household Living Conditions Survey 2013 -2014
Rwanda, 2013 - 2014
Created on
Mar 13, 2015
Last modified
Mar 29, 2019
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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 3 current value (s10bq5c)
Data file: cs_s10b_goods
Overview
Valid:
1614
Invalid:
387699
Type:
Discrete
Decimal:
0
Start:
113
End:
118
Width:
6
Range:
-
Format:
Questions and instructions
Categories
| Value | Category |
|---|---|
| 0 | |
| 300 | |
| 500 | |
| 800 | |
| 1000 | |
| 1200 | |
| 1500 | |
| 2000 | |
| 2500 | |
| 3000 | |
| 3500 | |
| 4000 | |
| 4500 | |
| 5000 | |
| 5500 | |
| 5800 | |
| 6000 | |
| 6500 | |
| 7000 | |
| 7200 | |
| 7500 | |
| 7580 | |
| 8000 | |
| 8500 | |
| 9000 | |
| 9500 | |
| 10000 | |
| 11000 | |
| 11500 | |
| 12000 | |
| 13000 | |
| 14000 | |
| 15000 | |
| 16000 | |
| 16500 | |
| 17000 | |
| 18000 | |
| 19000 | |
| 20000 | |
| 21000 | |
| 22000 | |
| 23000 | |
| 25000 | |
| 26000 | |
| 28000 | |
| 30000 | |
| 33000 | |
| 35000 | |
| 38000 | |
| 40000 | |
| 43000 | |
| 45000 | |
| 50000 | |
| 55000 | |
| 60000 | |
| 65000 | |
| 70000 | |
| 74000 | |
| 75000 | |
| 80000 | |
| 90000 | |
| 100000 | |
| 110000 | |
| 120000 | |
| 135000 | |
| 140000 | |
| 150000 | |
| 200000 | |
| 250000 | |
| 300000 | |
| 350000 | |
| 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.