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    Home / Food and Agriculture Microdata Catalogue / AGRICULTURAL-SURVEYS / RWA_2017_AHS_V01_EN_M_V01_A_OCS / variable [V346]
agricultural-surveys

Agricultural Household Survey 2017

Rwanda, 2017
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Reference ID
RWA_2017_AHS_v01_EN_M_v01_A_OCS
Producer(s)
National Institute of Statistics of Rwanda
Collections
Agricultural Surveys
Metadata
Documentation in PDF DDI/XML JSON
Created on
Mar 02, 2021
Last modified
Mar 02, 2021
Page views
25932
Downloads
199
  • Study Description
  • Data Dictionary
  • Downloads
  • Get Microdata
  • Data files
  • S0_General
    Information
  • S1_Household
    members
    characteristics
  • S2_Land tenure
    crops planted
  • S3_Extension
    services and
    agricultural
    programmes
  • S4_Funding
    during
    2016_2017
  • S5_Agricultural
    Inputs
  • S6_Agricultural
    Practices
  • S7_1_Agricultural
    small tools
  • S7_2_Agricultural
    durable tools
  • S8_A_Production
    Use, storage
    and Expenses
  • S8_B_Production
    Use,Storage and
    Expenses
  • S9_Number of
    animals
  • S10_1_Cattle
    milk production
  • S10_2_Cattle
    milk production
    use
  • S10_3_Honey
    production
  • S11_Animal
    inputs and
    services

7.8 Durable tool name (s7q8)

Data file: S7_2_Agricultural durable tools

Overview

Valid: 198273
Invalid: 8776
Minimum: 1
Maximum: 18
Type: Continuous
Decimal: 0
Width: 8
Range: 1 - 99
Format: Numeric

Questions and instructions

Categories
Value Category Cases
1 Drying ground 11835
6%
2 Storage facilities 11749
5.9%
3 Animal shed facilities 12168
6.1%
4 Motorcycle 11841
6%
5 Bicycle/Ikinyamitende 11801
6%
6 Vehicle used for agriculture transportation 11824
6%
7 Ploughing machine 11819
6%
8 Sowing machine 11810
6%
9 Pealing machine 11816
6%
10 Motor-pump 11813
6%
11 Spray machine 11799
6%
12 Fertilizer drop machine 11799
6%
13 Thresher machine 11801
6%
14 Harvesting machine 11791
5.9%
15 Barn 12465
6.3%
16 Milking machine 11641
5.9%
17 Other durable tool 2275
1.1%
18 Bike 6226
3.1%
99 NA 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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