Rwanda Season Agriculture Survey 2020
Rwanda, 2019 - 2020
Get Microdata
Reference ID
RWA-NISR-SAS-2020-v0.1
Producer(s)
National Institute of Statistics of Rwanda
Metadata
Created on
Feb 10, 2022
Last modified
Feb 10, 2022
Page views
342151
Downloads
5459
- Data files
-
rwa-sas-seasonA_Crop
production - rwa-sas-SeasonA_PartIII_Fertilizers_Pesticides
-
rwa-sas-SeasonA_PartIV_Agricultural
practice - rwa-sas-seasonA_Screening_Agroforestry
-
rwa-sas-seasonA_Screening_Antierosion_land
consolidation - rwa-sas-seasonA-Screening_crops
-
rwa-sas-seasonB_Crop
production - rwa-sas-SeasonB_PartIII_Fertilizers_Pesticides
-
rwa-sas-SeasonB_PartIV_Agricultural
practice - rwa-sas-seasonB_Screening_Agroforestry
-
rwa-sas-seasonB_Screening_Antierosion_land
consolidation - rwa-sas-seasonB-Screening_crops
-
rwa-sas-seasonC_Crop
production - rwa-sas-SeasonC_PartIII_Fertilizers_Pesticides
-
rwa-sas-SeasonC_PartIV_Agricultural
practice - rwa-sas-seasonC_Screening_Agroforestry
-
rwa-sas-seasonC_Screening_Antierosion_land
consolidation - rwa-sas-seasonC-Screening_crops
2.22.1 Explanation on crop production status (s2q22_1)
Data file: rwa-sas-seasonA_Crop production
Overview
Valid:
41313
Invalid:
0
Type:
Discrete
Decimal:
0
Width:
34
Range:
1 - 16
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 1 | Drought | 687 |
1.7%
|
| 2 | Heavy rainfall/Hailstones | 13363 |
32.3%
|
| 3 | Insufficient rainfall | 1008 |
2.4%
|
| 4 | insuffiicient/Lack of fertilizers | 12944 |
31.3%
|
| 5 | Late sowing | 364 |
0.9%
|
| 6 | Flood | 102 |
0.2%
|
| 7 | Landslide | 20 |
0%
|
| 8 | Crop destroyed by animals (grazes) | 54 |
0.1%
|
| 9 | Diseases and pests | 1887 |
4.6%
|
| 10 | Unfertile soil | 549 |
1.3%
|
| 11 | Inappropriate seeds | 756 |
1.8%
|
| 12 | Good harvest as it was expected | 4143 |
10%
|
| 13 | lack of improved seed | 236 |
0.6%
|
| 14 | Strong winds | 120 |
0.3%
|
| 15 | Perennial crops not yet mature | 3992 |
9.7%
|
| 16 | Other reason (Specify) | 1088 |
2.6%
|
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.