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    Home / Food and Agriculture Microdata Catalogue / AGRICULTURAL-SURVEYS / RWA_2019_RSAS_V01_EN_M_V01_A_OCS / variable [F12]
agricultural-surveys

Rwanda Seasonal Agriculture Survey 2019

Rwanda, 2018 - 2019
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Reference ID
RWA_2019_RSAS_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
Feb 04, 2021
Last modified
Feb 04, 2021
Page views
13684
Downloads
278
  • 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

1.2 District (s1q2)

Data file: rwa-sas-SeasonC_PartIII_Fertilizers_Pesticides

Overview

Valid: 1832
Invalid: 0
Type: Discrete
Decimal: 0
Width: 10
Range: 11 - 57
Format: Numeric

Questions and instructions

Categories
Value Category Cases
11 Nyarugenge 15
0.8%
12 Gasabo 39
2.1%
13 Kicukiro 0
0%
21 Nyanza 93
5.1%
22 Gisagara 119
6.5%
23 Nyaruguru 79
4.3%
24 Huye 57
3.1%
25 Nyamagabe 84
4.6%
26 Ruhango 57
3.1%
27 Muhanga 70
3.8%
28 Kamonyi 51
2.8%
31 Karongi 29
1.6%
32 Rutsiro 113
6.2%
33 Rubavu 67
3.7%
34 Nyabihu 127
6.9%
35 Ngororero 47
2.6%
36 Rusizi 31
1.7%
37 Nyamasheke 5
0.3%
41 Rulindo 28
1.5%
42 Gakenke 41
2.2%
43 Musanze 198
10.8%
44 Burera 152
8.3%
45 Gicumbi 72
3.9%
51 Rwamagana 47
2.6%
52 Nyagatare 20
1.1%
53 Gatsibo 57
3.1%
54 Kayonza 10
0.5%
55 Kirehe 17
0.9%
56 Ngoma 0
0%
57 Bugesera 107
5.8%
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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