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    Home / Central Data Catalog / RWA-NISR-EICV4-CS-2013-2014-V01 / variable [F21]
central

Integrated Household Living Conditions Survey (EICV4), 2013-2014
Cross-Sectional Sample

Rwanda, 2013 - 2014
Get Microdata
Reference ID
RWA-NISR-EICV4-CS-2013-2014-V01
Producer(s)
National Institute of Statistics Rwanda (NISR)
Metadata
Documentation in PDF DDI/XML JSON
Created on
Jun 29, 2016
Last modified
Jun 22, 2026
Page views
2078738
Downloads
188977
  • Study Description
  • Data Dictionary
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  • 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

Article description (s8cq0d)

Data file: cs_s8c_farming

Overview

Valid: 1346229
Invalid: 0
Type: Discrete
Start: 32
End: 76
Width: 45
Range: -
Format: character

Questions and instructions

Categories
Value Category Cases
Amarante (large 13329
1%
Amarante (small 13329
1%
Avocado 13329
1%
Banana - beer ( 13329
1%
Banana - cookin 13329
1%
Banana fruit (I 13329
1%
Beef meat 13329
1%
Berries 13329
1%
Butter not used 13329
1%
Cabbages 13329
1%
Carrot 13329
1%
Cassava (fermen 13329
1%
Cassava (flour) 13329
1%
Cassava (root) 13329
1%
Cassava leaves 13329
1%
Celery 13329
1%
Charcoal (cooki 13329
1%
Cheese 13329
1%
Chicken live 13329
1%
Citron – Lemon 13329
1%
Coffee (local) 13329
1%
Construction wo 13329
1%
Corn (flour) 13329
1%
Cucumber 13329
1%
Curdled Milk 13329
1%
Dried tobacco l 13329
1%
Dry beans 13329
1%
Dry maize (grai 13329
1%
Eggplant 13329
1%
Eggs 13329
1%
Fish (dry / smo 13329
1%
Fish (fresh / f 13329
1%
Fresh bean 13329
1%
Fresh milk 13329
1%
Garlic 13329
1%
Goat meat 13329
1%
Green pea (dry) 13329
1%
Green pea (fres 13329
1%
Ground nuts (pe 13329
1%
Groundnut flour 13329
1%
Guava 13329
1%
Honey 13329
1%
Ibishayote 13329
1%
Irish Potato 13329
1%
Lard of pork 13329
1%
Leeks 13329
1%
Lettuce 13329
1%
Local Banana be 13329
1%
Local Butter (A 13329
1%
Local banana ju 13329
1%
Local rice 13329
1%
Local sorghum b 13329
1%
Maize (fresh) 13329
1%
Mangos 13329
1%
Maracouja 13329
1%
Millet (flour) 13329
1%
Mushrooms 13329
1%
Onion 13329
1%
Orange (local) 13329
1%
Other Meats 13329
1%
Other Vegetable 13329
1%
Other animal f 13329
1%
Other cereals, 13329
1%
Other domestic 13329
1%
Other flours of 13329
1%
Other fruit jui 13329
1%
Other fruits, e 13329
1%
Other local bee 13329
1%
Other tubers 13329
1%
Papayas 13329
1%
Parsley 13329
1%
Passion fruit j 13329
1%
Pepper 13329
1%
Pepper(ground/ 13329
1%
Pepper-raw 13329
1%
Pineapple 13329
1%
Plums 13329
1%
Pork meat 13329
1%
Pumpkin 13329
1%
Rabbit Meat 13329
1%
Sheep /Mutton / 13329
1%
Sorghum 13329
1%
Sorghum (flour) 13329
1%
Sorghum juice(U 13329
1%
Soya (dry) 13329
1%
Soya (fresh) 13329
1%
Soya Flour 13329
1%
Spinach 13329
1%
String bean 13329
1%
Sugarcane 13329
1%
Sunflower Flou 13329
1%
Sweet potato 13329
1%
Tangerine 13329
1%
Tarot/amateke 13329
1%
Tea (local) 13329
1%
Tomato 13329
1%
Wheat (flour) 13329
1%
Wheat (grain) 13329
1%
Wild Meat 13329
1%
Wood (cooking) 13329
1%
Yams/Ibikoro 13329
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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