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    Home / Central Data Catalog / RWA-NISR-EICV5-CS-2016-2017-V0.1 / variable [F10]
central

Integrated Household Living Conditions Survey (EICV5), 2016-2017
Cross-Sectional Sample

Rwanda, 2016 - 2017
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Reference ID
RWA-NISR-EICV5-CS-2016-2017-V0.1
Producer(s)
National Institute of Statistics Rwanda (NISR)
Metadata
Documentation in PDF DDI/XML JSON
Created on
Dec 11, 2018
Last modified
Dec 16, 2018
Page views
944498
Downloads
110781
  • Study Description
  • Data Dictionary
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  • Data files
  • cs_S0_S5_Household
  • cs_S1_S2_S3_S4_S6A_S6E_Person
  • cs_S5F_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_ubudehe_and_Rssp_schemes
  • cs_S9C3_Vup_ubudehe_and_Rssp_schemes
  • cs_S9C4_Vup_ubudehe_and_Rssp_schemes
  • cs_S9D_other_income
  • cs_S9E_Other_expenditure
  • cs_S10A1_Credits
  • cs_S10A2_Listing_of_credits
  • cs_S10B1_Durable_household_goods
  • cs_S10B2_Durable_household_goods
  • cs_S10C1_Savings
  • cs_S10C2_Tontine
  • EICV5_Poverty_file

Equipment code (s7b2q2)

Data file: cs_S7B2_land_Agriculture

Overview

Valid: 0
Invalid: 0
Type: Discrete
Decimal: 0
Start: 35
End: 36
Width: 2
Range: 1 - 18
Format: Numeric

Questions and instructions

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