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
33944
Downloads
1662
- 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
Code crop planted (s7cq16b)
Data file: cs_s7c_parcels
Overview
Valid:
8075
Invalid:
45460
Type:
Discrete
Decimal:
0
Start:
61
End:
62
Width:
2
Range:
0 - 99
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 0 | Not applicable | 0 |
0%
|
| 1 | Rice | 517 |
6.4%
|
| 2 | Maize | 4172 |
51.7%
|
| 3 | Sorghum | 56 |
0.7%
|
| 4 | Wheat | 180 |
2.2%
|
| 5 | Uburo | 0 |
0%
|
| 6 | Potato | 725 |
9%
|
| 7 | Soybeans | 96 |
1.2%
|
| 8 | Peanut | 6 |
0.1%
|
| 9 | Bean | 1740 |
21.5%
|
| 10 | Small weight | 28 |
0.3%
|
| 11 | Sunflower (ibihwagari) | 0 |
0%
|
| 12 | Coffee | 72 |
0.9%
|
| 13 | Fresh Maize | 11 |
0.1%
|
| 14 | Cassava cooking | 58 |
0.7%
|
| 15 | Cassava for flour | 126 |
1.6%
|
| 16 | Colocasia | 0 |
0%
|
| 17 | Sweet | 24 |
0.3%
|
| 18 | Yam (Amateke) | 0 |
0%
|
| 19 | Banana fruits | 18 |
0.2%
|
| 20 | Banana cooking | 70 |
0.9%
|
| 21 | Banana Beer | 17 |
0.2%
|
| 22 | Mangoes | 0 |
0%
|
| 23 | Papayas or pawpaw | 0 |
0%
|
| 24 | Avocado | 0 |
0%
|
| 25 | Pineapples | 4 |
0%
|
| 26 | Guave | 0 |
0%
|
| 27 | Orange | 0 |
0%
|
| 28 | Mandarins | 0 |
0%
|
| 29 | Lemon or citron | 0 |
0%
|
| 30 | Pamplemousse | 0 |
0%
|
| 31 | Lime or Maracouja | 3 |
0%
|
| 32 | Plums | 3 |
0%
|
| 33 | Strawberries | 0 |
0%
|
| 34 | Coeur de boeuf | 0 |
0%
|
| 35 | Others fruits (Ibifenesi) | 0 |
0%
|
| 36 | Other fruits | 0 |
0%
|
| 37 | Fresh Beans | 0 |
0%
|
| 38 | Green Beans | 0 |
0%
|
| 39 | Tomato | 5 |
0.1%
|
| 40 | Onions | 8 |
0.1%
|
| 41 | Garlic | 0 |
0%
|
| 42 | Pepper | 0 |
0%
|
| 43 | Sweet Pepper | 0 |
0%
|
| 44 | Squash or Vegetable marrows | 0 |
0%
|
| 45 | Zucchini or cucumber | 0 |
0%
|
| 46 | Eggplant | 10 |
0.1%
|
| 47 | Carrots | 6 |
0.1%
|
| 48 | Leeks | 0 |
0%
|
| 49 | Cabbages | 11 |
0.1%
|
| 50 | Lettuce or Laitue | 0 |
0%
|
| 51 | Parsley | 0 |
0%
|
| 52 | Seleri | 0 |
0%
|
| 53 | Mushroom or spinach | 0 |
0%
|
| 54 | Ibishayote | 0 |
0%
|
| 55 | Fresh small weight | 0 |
0%
|
| 56 | Mushrooms | 0 |
0%
|
| 57 | Cassava leaves | 0 |
0%
|
| 58 | Green vegetables (Inyabutongo) | 5 |
0.1%
|
| 59 | Imbwija | 1 |
0%
|
| 60 | Ibisusa | 0 |
0%
|
| 61 | Umushogoro | 0 |
0%
|
| 62 | Isogo | 0 |
0%
|
| 63 | Other vegetables | 0 |
0%
|
| 64 | Tea | 48 |
0.6%
|
| 65 | Cane sugar | 14 |
0.2%
|
| 66 | Pyretre (Ibireti) | 40 |
0.5%
|
| 67 | Ibobere | 0 |
0%
|
| 68 | Macadamiya | 0 |
0%
|
| 69 | Muringa | 0 |
0%
|
| 70 | Others | 0 |
0%
|
| 99 | Missing | 1 |
0%
|
| Sysmiss | 45460 |
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.