Integrated Household Living Conditions Survey (EICV4), 2013-2014
Cross-Sectional Sample
Rwanda, 2013 - 2014
Get Microdata
Reference ID
RWA-NISR-EICV4-CS-2013-2014-V01
Producer(s)
National Institute of Statistics Rwanda (NISR)
Metadata
Created on
Jun 29, 2016
Last modified
Jun 22, 2026
Page views
2078738
Downloads
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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
- EICV4_poverty_file
- EICV3_Povertyfile_Jan2014
Codes of products transformed (s7hq2)
Data file: cs_s7h_transformation_agriculture
Overview
Valid:
53549
Invalid:
0
Type:
Discrete
Decimal:
0
Start:
18
End:
19
Width:
2
Range:
1 - 16
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 1 | Maize Flour | 8192 |
15.3%
|
| 2 | Sorghum flour | 7368 |
13.8%
|
| 3 | Wheat flour | 1174 |
2.2%
|
| 4 | Cassava Flour | 6756 |
12.6%
|
| 5 | Grounded peanuts | 2441 |
4.6%
|
| 6 | Soya flour | 4506 |
8.4%
|
| 7 | Dried fish | 128 |
0.2%
|
| 8 | Cassava leavers (Isombe isekuye) | 10080 |
18.8%
|
| 9 | Beef grease | 407 |
0.8%
|
| 10 | Lard of pork | 57 |
0.1%
|
| 11 | Banana Juice | 3424 |
6.4%
|
| 12 | Passion Juice | 31 |
0.1%
|
| 13 | Other juice | 146 |
0.3%
|
| 14 | Banana Beer | 2795 |
5.2%
|
| 15 | Sorghum beer (ikigage) | 4823 |
9%
|
| 16 | Other Flour | 1221 |
2.3%
|
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.