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    Home / Food and Agriculture Microdata Catalogue / AGRICULTURAL-SURVEYS / RWA_2013-2014_EICV-W4-VUP_V01_EN_M_V01_A_OCS / variable [F13]
agricultural-surveys

Integrated Household Living Conditions Survey - Wave 4, VUP Sample, 2013-2014.

Rwanda, 2013 - 2014
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Reference ID
RWA_2013-2014_EICV-W4-VUP_v01_EN_M_v01_A_OCS
Producer(s)
National Institute of Statistics Rwanda (NISR)
Collections
Agricultural Surveys
Metadata
Documentation in PDF DDI/XML JSON
Created on
Mar 07, 2021
Last modified
Mar 07, 2021
Page views
25124
Downloads
985
  • Study Description
  • Data Dictionary
  • Downloads
  • Get Microdata
  • 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

Codes for small scale crops harvested over last 12 months (s7eq2)

Data file: vup_s7e_small_crop.dta

Overview

Valid: 25271
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 1
0%
2 Maize 1
0%
3 Sorghum 1
0%
4 Wheat 0
0%
5 Uburo 0
0%
6 Potato 1
0%
7 Soybeans 1
0%
8 Peanut 1
0%
9 Bean 2
0%
10 Small weight 1
0%
11 Sunflower (ibihwagari) 1
0%
12 Coffee 13
0.1%
13 Fresh Maize 1725
6.8%
14 Cassava cooking 1380
5.5%
15 Cassava for flour 936
3.7%
16 Colocasia 107
0.4%
17 Sweet 1813
7.2%
18 Yam (Amateke) 850
3.4%
19 Banana fruits 991
3.9%
20 Banana cooking 1494
5.9%
21 Banana Beer 1124
4.4%
22 Mangoes 419
1.7%
23 Papayas or pawpaw 379
1.5%
24 Avocado 1051
4.2%
25 Pineapples 86
0.3%
26 Guave 232
0.9%
27 Orange 29
0.1%
28 Mandarins 4
0%
29 Lemon or citron 85
0.3%
30 Pamplemousse 2
0%
31 Lime or Maracouja 147
0.6%
32 Plums 78
0.3%
33 Strawberries 2
0%
34 Coeur de boeuf 6
0%
35 Others fruits (Ibifenesi) 44
0.2%
36 Other fruits 9
0%
37 Fresh Beans 2165
8.6%
38 Green Beans 140
0.6%
39 Tomato 253
1%
40 Onions 261
1%
41 Garlic 29
0.1%
42 Pepper 562
2.2%
43 Sweet Pepper 51
0.2%
44 Squash or Vegetable marrows 556
2.2%
45 Zucchini or cucumber 16
0.1%
46 Eggplant 340
1.3%
47 Carrots 76
0.3%
48 Leeks 180
0.7%
49 Cabbages 231
0.9%
50 Lettuce or Laitue 1
0%
51 Parsley 7
0%
52 Seleri 38
0.2%
53 Mushroom or spinac 93
0.4%
54 Ibishayote 437
1.7%
55 Fresh small weight 464
1.8%
56 Mushrooms 309
1.2%
57 Cassava leaves 1763
7%
58 Green vegetables (Inyabutongo) 1898
7.5%
59 Imbwija 288
1.1%
60 Ibisusa 332
1.3%
61 Umushogoro 1309
5.2%
62 Isogo 19
0.1%
63 Other vegetables 85
0.3%
64 Tea 3
0%
65 Cane sugar 278
1.1%
66 Pyretre (Ibireti) 0
0%
67 Ibobere 0
0%
68 Macadamiya 3
0%
69 Muringa 5
0%
70 Others 63
0.2%
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.
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