Integrated Household Living Conditions Survey (EICV4), 2013-2014
VUP
Rwanda, 2013 - 2014
Get Microdata
Reference ID
RWA-NISR-DDI-EICV4-VUP-01
Producer(s)
National Institute of Statistics Rwanda (NISR)
Metadata
Created on
Jun 28, 2016
Last modified
Jun 29, 2016
Page views
1031481
Downloads
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- Data files
- vup_partb_filter_questions_hh
- vup_s0_s5_household.dta
- vup_s1_s2_s3_s4_s6a_s6e_s6f_person
-
vup_s5e_access
to services - vup_s7a1_livestock.dta
- vup_s7a2_livestock
- vup_s7a3_livestock
- vup_s7a4_livestock.dta
- vup_s7b1_land_agriculture
- vup_s7b2_land_agriculture
- vup_s7c_parcels.dta
- vup_s7d_large_crop
- vup_s7e_small_crop.dta
- vup_s7f_income_agriculture.dta
- vup_s7g_expenditure_agriculture.dta
- vup_s7h_transformation_agriculture
- vup_s8a1_expenditure
- vup_s8a2_expenditure.dta
- vup_s8a3_expenditure.dta
- vup_s8b_expenditure.dta
- vup_s8c_farming.dta
- vup_s9a_transfers_out.dta
- vup_s9b_transfers_in.dta
- vup_s9c_vup
- vup_s9c1_vup
- vup_s10a1_credits.dta
- vup_s10a2_credits.dta
- vup_s10b_goods
- vup_s10c_savings.dta
Code of the crops harvested in last 12 months (s7dq2)
Data file: vup_s7d_large_crop
Overview
Valid:
7606
Invalid:
0
Type:
Discrete
Decimal:
0
Start:
36
End:
37
Width:
2
Range:
0 - 99
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 0 | Not applicable | 0 |
0%
|
| 1 | Rice | 92 |
1.2%
|
| 2 | Maize | 1264 |
16.6%
|
| 3 | Sorghum | 936 |
12.3%
|
| 4 | Wheat | 63 |
0.8%
|
| 5 | Uburo | 13 |
0.2%
|
| 6 | Potato | 1299 |
17.1%
|
| 7 | Soybeans | 727 |
9.6%
|
| 8 | Peanut | 390 |
5.1%
|
| 9 | Bean | 2106 |
27.7%
|
| 10 | Small weight | 304 |
4%
|
| 11 | Sunflower (ibihwagari) | 152 |
2%
|
| 12 | Coffee | 241 |
3.2%
|
| 13 | Fresh Maize | 2 |
0%
|
| 14 | Cassava cooking | 0 |
0%
|
| 15 | Cassava for flour | 0 |
0%
|
| 16 | Colocasia | 0 |
0%
|
| 17 | Sweet | 1 |
0%
|
| 18 | Yam (Amateke) | 0 |
0%
|
| 19 | Banana fruits | 0 |
0%
|
| 20 | Banana cooking | 0 |
0%
|
| 21 | Banana Beer | 0 |
0%
|
| 22 | Mangoes | 0 |
0%
|
| 23 | Papayas or pawpaw | 0 |
0%
|
| 24 | Avocado | 0 |
0%
|
| 25 | Pineapples | 0 |
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 | 0 |
0%
|
| 32 | Plums | 0 |
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 | 1 |
0%
|
| 40 | Onions | 0 |
0%
|
| 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 | 0 |
0%
|
| 47 | Carrots | 0 |
0%
|
| 48 | Leeks | 0 |
0%
|
| 49 | Cabbages | 0 |
0%
|
| 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 | 1 |
0%
|
| 58 | Green vegetables (Inyabutongo) | 0 |
0%
|
| 59 | Imbwija | 1 |
0%
|
| 60 | Ibisusa | 0 |
0%
|
| 61 | Umushogoro | 0 |
0%
|
| 62 | Isogo | 0 |
0%
|
| 63 | Other vegetables | 0 |
0%
|
| 64 | Tea | 0 |
0%
|
| 65 | Cane sugar | 10 |
0.1%
|
| 66 | Pyretre (Ibireti) | 0 |
0%
|
| 67 | Ibobere | 0 |
0%
|
| 68 | Macadamiya | 0 |
0%
|
| 69 | Muringa | 0 |
0%
|
| 70 | Others | 3 |
0%
|
| 99 | Missing | 0 |
0%
|
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.