Rwanda - Rwanda Season Agriculture Survey 2019
Reference ID | RWA-NISR-SAS-2019-v0.1 |
Year | 2018 - 2019 |
Country | Rwanda |
Producer(s) | National Institute of Statistics of Rwanda - Ministry of Finance and Economic Planning |
Sponsor(s) | Government of Rwanda - GoR - Funder |
Metadata | Documentation in PDF |
Created on
Jan 11, 2021
Last modified
Jan 11, 2021
Page views
165414
- rwa-sas-seasonA_Crop
production - rwa-sas-SeasonA_Part
III_Fertilizers_Pest
icides - rwa-sas-SeasonA_Part
IV_Agricultural prac
tice - rwa-sas-SeasonA_Part
V_Land Tenure - rwa-sas-seasonA-Scre
ening - rwa-sas-seasonB_Crop
production - rwa-sas-SeasonB_Part
III_Fertilizers_Pest
icides - rwa-sas-SeasonB_Part
IV_Agricultural prac
tice - rwa-sas-SeasonB_Part
V_Land Tenure - rwa-sas-seasonB-Scre
ening - rwa-sas-seasonC_Crop
production - rwa-sas-SeasonC_Part
III_Fertilizers_Pest
icides - rwa-sas-SeasonC_Part
IV_Agricultural prac
tice - rwa-sas-SeasonC_Part
V_Land Tenure - rwa-sas-seasonC-Scre
ening
data_dictionary
Data File: rwa-sas-seasonA-Screening
Cases | 46854 |
Variable(s) | 24 |
Variables
Name | Label | Question | |
Segment_ID | Segment_ID | ||
s1q1 | 1.1 Province Name | ||
s1q2 | 1.2 District Name | ||
area_ha | Segment Physical area in ha | ||
s1q3 | 1.3 Stratum (Not applicable for LSF) | ||
s1q4 | 1.4 Segment (Not applicable for LSF) | ||
s1q5 | 1.5 Date of visting the segment/LSF(DD/MM/YYY) | ||
s1q6 | 1.6 Number of grids in the segment(Not applicable for LSF) | ||
s2q1 | 2.1 Sampled Grid point number | ||
s2q2 | 2.2 Plot_number | ||
s2q3 | 2.3 Plot size (m2) | ||
s2q4_1 | Farmer type | ||
s2q5 | 2.5 No.of Grids in the same Plot | ||
s2q6 | 2.6 Land Use | ||
s2q7 | 2.7 Non- agricultural Land Type | ||
s2q8 | 2.8 Cropping System | ||
s2q9 | 2.9 Number of main crops in the plot | ||
s2q10 | 2.10 Crop type | ||
s2q11 | 2.11 Crop name | ||
s2q14 | 2.14 is this crop for this season | ||
s2q15 | 2.15 Expected period for harvesting | ||
Weight | Weight | ||
CropGroup | Crop category and major crops | ||
Crop_Area | Estimated crop area | ||
Total variable(s):
24 |