Home / Central Data Catalog / RWA-NISR-EICV5-VUP-2016-2017-V01 / variable [F14]
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Integrated Household Living Conditions Survey (EICV5), 2016-2017, VUP

Rwanda, 2016 - 2017
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Reference ID
RWA-NISR-EICV5-VUP-2016-2017-V01
Producer(s)
National Institute of Statistics Rwanda (NISR)
Metadata
Documentation in PDF DDI/XML JSON
Created on
Feb 04, 2019
Last modified
Feb 04, 2019
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Codes for small scale crops (s7eq2)

Data file: vup_S7E_small_crop

Overview

Valid: 13913
Invalid: 223
Type: Discrete
Decimal: 0
Start: 42
End: 43
Width: 2
Range: 13 - 70
Format: Numeric

Questions and instructions

Categories
Value Category Cases
13 Fresh Maize 1055
7.6%
14 Cassava cooking 632
4.5%
15 Cassava for flour 344
2.5%
16 Colocasia 45
0.3%
17 Sweet 946
6.8%
18 Yam _Amateke_ 495
3.6%
19 Banana fruits 429
3.1%
20 Banana cooking 784
5.6%
21 Banana Beer 609
4.4%
22 Mangoes 304
2.2%
23 Papayas or pawpaw 192
1.4%
24 Avocado 565
4.1%
25 Pineapples 39
0.3%
26 Guave 130
0.9%
27 Orange 16
0.1%
28 Mandarins 4
0%
29 Lemon or citron 42
0.3%
30 Pamplemousse 0
0%
31 Lime or Maracouja 83
0.6%
32 Plums 39
0.3%
33 Strawberriers 9
0.1%
34 Coeur de boeuf 2
0%
35 Others fruits _Ibifenesi_ 24
0.2%
36 Other fruits 7
0.1%
37 Fresh Beans 1279
9.2%
38 Green Beans 128
0.9%
39 Tomato 122
0.9%
40 Onions 119
0.9%
41 Garlic 10
0.1%
42 Pepper 296
2.1%
43 Sweet Pepper 27
0.2%
44 Squash or Vegetable marrows 278
2%
45 Zucchini or cucumber 28
0.2%
46 Eggplant 154
1.1%
47 Carotts 40
0.3%
48 Leeks 105
0.8%
49 Cabbages 114
0.8%
50 Lettuce or Laitue 0
0%
51 Parsley 4
0%
52 Seleri 29
0.2%
53 Mushroom or spinac 79
0.6%
54 Ibishayote 248
1.8%
55 Fresh small weight 260
1.9%
56 Mushrooms 274
2%
57 Cassava leaves 948
6.8%
58 Green vegetables _Inyabutongo_ 1104
7.9%
59 Imbwija 184
1.3%
60 Ibisusa 216
1.6%
61 Umushogoro 731
5.3%
62 Isogo 49
0.4%
63 Other vegetables 106
0.8%
64 Tea 0
0%
65 Cane sugar 150
1.1%
66 Pyretre _Ibireti_ 3
0%
67 Ibobere 1
0%
68 Macadamiya 0
0%
69 Muringa 2
0%
70 Others 30
0.2%
Sysmiss 223
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.
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