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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 [F21]
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
25133
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

Article description (s8cq0d)

Data file: vup_s8c_farming.dta

Overview

Valid: 242501
Invalid: 0
Type: Discrete
Start: 39
End: 83
Width: 45
Range: -
Format: character

Questions and instructions

Categories
Value Category Cases
Amarante (large 2401
1%
Amarante (small 2401
1%
Avocado 2401
1%
Banana - beer ( 2401
1%
Banana - cookin 2401
1%
Banana fruit (I 2401
1%
Beef meat 2401
1%
Berries 2401
1%
Butter not used 2401
1%
Cabbages 2401
1%
Carrot 2401
1%
Cassava (fermen 2401
1%
Cassava (flour) 2401
1%
Cassava (root) 2401
1%
Cassava leaves 2401
1%
Celery 2401
1%
Charcoal (cooki 2401
1%
Cheese 2401
1%
Chicken live 2401
1%
Citron – Lemon 2401
1%
Coffee (local) 2401
1%
Construction wo 2401
1%
Corn (flour) 2401
1%
Cucumber 2401
1%
Curdled Milk 2401
1%
Dried tobacco l 2401
1%
Dry beans 2401
1%
Dry maize (grai 2401
1%
Eggplant 2401
1%
Eggs 2401
1%
Fish (dry / smo 2401
1%
Fish (fresh / f 2401
1%
Fresh bean 2401
1%
Fresh milk 2401
1%
Garlic 2401
1%
Goat meat 2401
1%
Green pea (dry) 2401
1%
Green pea (fres 2401
1%
Ground nuts (pe 2401
1%
Groundnut flour 2401
1%
Guava 2401
1%
Honey 2401
1%
Ibishayote 2401
1%
Irish Potato 2401
1%
Lard of pork 2401
1%
Leeks 2401
1%
Lettuce 2401
1%
Local Banana be 2401
1%
Local Butter (A 2401
1%
Local banana ju 2401
1%
Local rice 2401
1%
Local sorghum b 2401
1%
Maize (fresh) 2401
1%
Mangos 2401
1%
Maracouja 2401
1%
Millet (flour) 2401
1%
Mushrooms 2401
1%
Onion 2401
1%
Orange (local) 2401
1%
Other Meats 2401
1%
Other Vegetable 2401
1%
Other animal f 2401
1%
Other cereals, 2401
1%
Other domestic 2401
1%
Other flours of 2401
1%
Other fruit jui 2401
1%
Other fruits, e 2401
1%
Other local bee 2401
1%
Other tubers 2401
1%
Papayas 2401
1%
Parsley 2401
1%
Passion fruit j 2401
1%
Pepper 2401
1%
Pepper(ground/ 2401
1%
Pepper-raw 2401
1%
Pineapple 2401
1%
Plums 2401
1%
Pork meat 2401
1%
Pumpkin 2401
1%
Rabbit Meat 2401
1%
Sheep /Mutton / 2401
1%
Sorghum 2401
1%
Sorghum (flour) 2401
1%
Sorghum juice(U 2401
1%
Soya (dry) 2401
1%
Soya (fresh) 2401
1%
Soya Flour 2401
1%
Spinach 2401
1%
String bean 2401
1%
Sugarcane 2401
1%
Sunflower Flou 2401
1%
Sweet potato 2401
1%
Tangerine 2401
1%
Tarot/amateke 2401
1%
Tea (local) 2401
1%
Tomato 2401
1%
Wheat (flour) 2401
1%
Wheat (grain) 2401
1%
Wild Meat 2401
1%
Wood (cooking) 2401
1%
Yams/Ibikoro 2401
1%
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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