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    Home / Central Data Catalog / RWA-NISR-EICV4-CS-2013-2014-V01 / variable [F10]
central

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

Rwanda, 2013 - 2014
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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
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  • 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

Agricultural equipment code (s7b2q2)

Data file: cs_s7b2_land_agriculture

Overview

Valid: 241650
Invalid: 994
Type: Discrete
Decimal: 0
Start: 18
End: 19
Width: 2
Range: 1 - 18
Format: Numeric

Questions and instructions

Categories
Value Category Cases
1 Hoes or shovels 13425
5.6%
2 Machetes 13425
5.6%
3 Hatchet or axes 13425
5.6%
4 Sickles and knifes 13425
5.6%
5 Rakes and spades 13425
5.6%
6 Picks 13425
5.6%
7 Wheel barrow 13425
5.6%
8 Sprinklers 13425
5.6%
9 Other tool 13425
5.6%
10 Peeling machine 13425
5.6%
11 Mills and pestles 13425
5.6%
12 Sower/drill 13425
5.6%
13 Crop sprayer 13425
5.6%
14 Plough 13425
5.6%
15 Tractor 13425
5.6%
16 Thresher 13425
5.6%
17 Winnower 13425
5.6%
18 Other equipment 13425
5.6%
Sysmiss 994
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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