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    Home / Food and Agriculture Microdata Catalogue / AGRICULTURAL-SURVEYS / RWA_2019-2020_SAS_V01_EN_M_V01_A_OCS / variable [F6]
agricultural-surveys

Season Agriculture Survey 2019-2020

Rwanda, 2019 - 2020
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Reference ID
RWA_2019-2020_SAS_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
Nov 14, 2022
Last modified
Nov 15, 2022
Page views
13448
Downloads
148
  • Study Description
  • Data Dictionary
  • Downloads
  • Get Microdata
  • Data files
  • rwa-sas-seasonA_Crop
    production
  • rwa-sas-SeasonA_PartIII_Fertilizers_Pesticides
  • rwa-sas-SeasonA_PartIV_Agricultural
    practice
  • rwa-sas-SeasonA_PartV_Land
    Tenure
  • rwa-sas-seasonA-Screening
  • rwa-sas-seasonB_Crop
    production
  • rwa-sas-SeasonB_PartIII_Fertilizers_Pesticides
  • rwa-sas-SeasonB_PartIV_Agricultural
    practice
  • rwa-sas-SeasonB_PartV_Land
    Tenure
  • rwa-sas-seasonB-Screening
  • rwa-sas-seasonC_Crop
    production
  • rwa-sas-SeasonC_PartIII_Fertilizers_Pesticides
  • rwa-sas-SeasonC_PartIV_Agricultural
    practice
  • rwa-sas-SeasonC_PartV_Land
    Tenure
  • rwa-sas-seasonC-Screening

2.9. Expected period of harvesting (s2q9)

Data file: rwa-sas-seasonB_Crop production

Overview

Valid: 30493
Invalid: 0
Type: Discrete
Decimal: 0
Width: 25
Range: 1 - 21
Format: Numeric

Questions and instructions

Categories
Value Category Cases
1 Before 01/12 0
0%
2 Between 01-15 /12 0
0%
3 Between 16- 31/12 0
0%
4 Between 01-15/01 0
0%
5 Between 16- 31/01 0
0%
6 Between 01-28/02 0
0%
7 After 28/02 0
0%
8 Before the month of May 5114
16.8%
9 Between 01-15/05 1402
4.6%
10 Between 16-31/05 3441
11.3%
11 Between 01- 15/06 5103
16.7%
12 Between 16 -30/06 4616
15.1%
13 Between 01-31/07 7381
24.2%
14 Between 01-31/8 2818
9.2%
15 After August 618
2%
16 Before the month of 30/7 0
0%
17 Between 01-15/08 0
0%
18 Between 15-30/08 0
0%
19 Between 01- 15/09 0
0%
20 Between 16 -30/09 0
0%
21 After September 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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