Rwanda - Rwanda Seasonal Agriculture Survey 2017
Reference ID | RWA-NISR-RSAS-2017-V0.1 |
Year | 2016 - 2017 |
Country | Rwanda |
Producer(s) | National Institute of Statistics of Rwanda - Ministry of Finance and Economic Planning |
Sponsor(s) | The Government of Rwanda - GoR - Funder |
Metadata | Documentation in PDF |
Created on
Feb 14, 2019
Last modified
Feb 14, 2019
Page views
301695
- SeasonA_2017_LSF_Ant
ierosion - SeasonA_2017_LSF_Cro
p production - SeasonA_2017_LSF_Fer
tilizers - SeasonA_2017_LSF_Irr
igation_Soil_prepara
tion_and_Land_tenure - SeasonA_2017_LSF_Pes
ticides - SeasonA_2017_LSF_Scr
eening - SeasonA_2017_SSF_Ant
ierosion - SeasonA_2017_SSF_Cro
p production - SeasonA_2017_SSF_Fer
tilizers - SeasonA_2017_SSF_Irr
igation_Soil_prepara
tion_and_Land_tenure - SeasonA_2017_SSF_Pes
ticides - SeasonA_2017_SSF_Scr
eening - SeasonB_2017_LSF_Ant
ierosion - SeasonB_2017_LSF_Cro
p production - SeasonB_2017_LSF_Fer
tilizers - SeasonB_2017_LSF_Irr
igation_Soil_prepara
tion_and_Land_tenure - SeasonB_2017_LSF_Pes
ticides - SeasonB_2017_LSF_Scr
eening - SeasonB_2017_SSF_Ant
ierosion - SeasonB_2017_SSF_Cro
p production - SeasonB_2017_SSF_Fer
tilizers - SeasonB_2017_SSF_Irr
igation_Soil_prepara
tion_and_Land_tenure - SeasonB_2017_SSF_Pes
ticides - SeasonB_2017_SSF_Scr
eening - SeasonC_2017_SSF_Ant
ierosion - SeasonC_2017_SSF_Cro
p production - SeasonC_2017_SSF_Fer
tilizers - SeasonC_2017_SSF_Irr
igation_Soil_prepara
tion_and_Land_tenure - SeasonC_2017_SSF_Pes
ticides - SeasonC_2017_SSF_Scr
eening
4.1 What is the degree of erosion on this plot?
(s4q1)
File: SeasonB_2017_LSF_Antierosion
File: SeasonB_2017_LSF_Antierosion
Overview
Type:
Discrete Format: numeric Width: 1 Decimals: 0 Range: 1-3 | Valid cases: 1204 Invalid: 0 |
Value | Category | Cases | |
---|---|---|---|
1 | Severe (Rill erosion, Gully erosion,Mass movement/landslides) | 32 | 2.7% |
2 | Moderate (Diffuse overland flow erosion,Overland flow erosion, erosion by infiltration) | 39 | 3.2% |
3 | Low (Splash, wind erosion) | 1133 | 94.1% |
warning_figures_indicate_number_of_cases_found