Integrated Household Living Conditions Survey - Wave 4, Cross-Sectional Sample, 2013-2014.
Rwanda, 2013 - 2014
Get Microdata
Reference ID
RWA_2013-2014_EICV-W4-CS_v01_EN_M_v01_A_OCS
Producer(s)
National Institute of Statistics Rwanda (NISR)
Collections
Metadata
Created on
Mar 07, 2021
Last modified
Mar 07, 2021
Page views
16828
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906
- 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
- EICV4_poverty_file
- EICV3_Povertyfile_Jan2014
Amount received from sales last 4 weeks (s7fq2)
Data file: cs_s7f_income_agriculture
Overview
Valid:
4277
Invalid:
168751
Type:
Discrete
Decimal:
0
Width:
10
Range:
0 - 9999999
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 0 | 3102 |
72.5%
|
|
| 1 | 13 |
0.3%
|
|
| 2 | 19 |
0.4%
|
|
| 4 | 1 |
0%
|
|
| 100 | 7 |
0.2%
|
|
| 150 | 6 |
0.1%
|
|
| 200 | 18 |
0.4%
|
|
| 250 | 1 |
0%
|
|
| 300 | 15 |
0.4%
|
|
| 350 | 1 |
0%
|
|
| 400 | 13 |
0.3%
|
|
| 420 | 1 |
0%
|
|
| 450 | 3 |
0.1%
|
|
| 500 | 62 |
1.4%
|
|
| 600 | 23 |
0.5%
|
|
| 700 | 11 |
0.3%
|
|
| 750 | 2 |
0%
|
|
| 800 | 17 |
0.4%
|
|
| 900 | 4 |
0.1%
|
|
| 1000 | 136 |
3.2%
|
|
| 1100 | 2 |
0%
|
|
| 1200 | 23 |
0.5%
|
|
| 1300 | 1 |
0%
|
|
| 1400 | 6 |
0.1%
|
|
| 1500 | 71 |
1.7%
|
|
| 1600 | 3 |
0.1%
|
|
| 1700 | 4 |
0.1%
|
|
| 1750 | 1 |
0%
|
|
| 1800 | 6 |
0.1%
|
|
| 2000 | 137 |
3.2%
|
|
| 2400 | 1 |
0%
|
|
| 2500 | 41 |
1%
|
|
| 2700 | 2 |
0%
|
|
| 2800 | 1 |
0%
|
|
| 2900 | 1 |
0%
|
|
| 3000 | 98 |
2.3%
|
|
| 3200 | 2 |
0%
|
|
| 3400 | 2 |
0%
|
|
| 3450 | 1 |
0%
|
|
| 3500 | 14 |
0.3%
|
|
| 3600 | 2 |
0%
|
|
| 3700 | 1 |
0%
|
|
| 3750 | 2 |
0%
|
|
| 4000 | 50 |
1.2%
|
|
| 4100 | 1 |
0%
|
|
| 4200 | 2 |
0%
|
|
| 4500 | 9 |
0.2%
|
|
| 4800 | 3 |
0.1%
|
|
| 5000 | 43 |
1%
|
|
| 5200 | 1 |
0%
|
|
| 5500 | 4 |
0.1%
|
|
| 5700 | 1 |
0%
|
|
| 6000 | 32 |
0.7%
|
|
| 6600 | 1 |
0%
|
|
| 6660 | 1 |
0%
|
|
| 6800 | 1 |
0%
|
|
| 7000 | 19 |
0.4%
|
|
| 7200 | 1 |
0%
|
|
| 7300 | 1 |
0%
|
|
| 7500 | 2 |
0%
|
|
| 8000 | 23 |
0.5%
|
|
| 8100 | 1 |
0%
|
|
| 8600 | 1 |
0%
|
|
| 9000 | 3 |
0.1%
|
|
| 9600 | 1 |
0%
|
|
| 9700 | 1 |
0%
|
|
| 10000 | 40 |
0.9%
|
|
| 10600 | 1 |
0%
|
|
| 11000 | 2 |
0%
|
|
| 12000 | 13 |
0.3%
|
|
| 12500 | 1 |
0%
|
|
| 13000 | 8 |
0.2%
|
|
| 13500 | 1 |
0%
|
|
| 14000 | 5 |
0.1%
|
|
| 14500 | 1 |
0%
|
|
| 15000 | 24 |
0.6%
|
|
| 15500 | 1 |
0%
|
|
| 16000 | 6 |
0.1%
|
|
| 17000 | 2 |
0%
|
|
| 18000 | 1 |
0%
|
|
| 19500 | 1 |
0%
|
|
| 20000 | 18 |
0.4%
|
|
| 21000 | 3 |
0.1%
|
|
| 22000 | 2 |
0%
|
|
| 24000 | 3 |
0.1%
|
|
| 25000 | 3 |
0.1%
|
|
| 26000 | 2 |
0%
|
|
| 27500 | 1 |
0%
|
|
| 28000 | 2 |
0%
|
|
| 30000 | 11 |
0.3%
|
|
| 32400 | 1 |
0%
|
|
| 35000 | 4 |
0.1%
|
|
| 36000 | 1 |
0%
|
|
| 38500 | 1 |
0%
|
|
| 39000 | 1 |
0%
|
|
| 40000 | 6 |
0.1%
|
|
| 46000 | 1 |
0%
|
|
| 48000 | 1 |
0%
|
|
| 50000 | 1 |
0%
|
|
| 56000 | 3 |
0.1%
|
|
| 58000 | 1 |
0%
|
|
| 60000 | 1 |
0%
|
|
| 64800 | 1 |
0%
|
|
| 70000 | 1 |
0%
|
|
| 75000 | 1 |
0%
|
|
| 80000 | 1 |
0%
|
|
| 90000 | 1 |
0%
|
|
| 100000 | 2 |
0%
|
|
| 120000 | 2 |
0%
|
|
| 138000 | 1 |
0%
|
|
| 140000 | 1 |
0%
|
|
| 150000 | 2 |
0%
|
|
| 163000 | 1 |
0%
|
|
| 175000 | 1 |
0%
|
|
| 200000 | 1 |
0%
|
|
| 250000 | 1 |
0%
|
|
| 300000 | 1 |
0%
|
|
| 450000 | 1 |
0%
|
|
| 600000 | 1 |
0%
|
|
| 800000 | 1 |
0%
|
|
| 1000000 | 1 |
0%
|
|
| 1600000 | 1 |
0%
|
|
| 9999999 | Missing | 1 |
0%
|
| Sysmiss | 168751 |
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.