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
2.22.3 Explanation on crop production status (s2q22_3)
Data file: rwa-sas-seasonA_Crop production
Overview
Valid:
4178
Invalid:
37135
Type:
Discrete
Decimal:
0
Width:
34
Range:
1 - 16
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 1 | Drought | 0 |
0%
|
| 2 | Heavy rainfall/Hailstones | 0 |
0%
|
| 3 | Insufficient rainfall | 0 |
0%
|
| 4 | insuffiicient/Lack of fertilizers | 52 |
1.2%
|
| 5 | Late sowing | 220 |
5.3%
|
| 6 | Flood | 27 |
0.6%
|
| 7 | Landslide | 23 |
0.6%
|
| 8 | Crop destroyed by animals (grazes) | 19 |
0.5%
|
| 9 | Diseases and pests | 809 |
19.4%
|
| 10 | Unfertile soil | 814 |
19.5%
|
| 11 | Inappropriate seeds | 612 |
14.6%
|
| 12 | Good harvest as it was expected | 0 |
0%
|
| 13 | lack of improved seed | 740 |
17.7%
|
| 14 | Strong winds | 121 |
2.9%
|
| 15 | Perennial crops not yet mature | 75 |
1.8%
|
| 16 | Other reason (Specify) | 666 |
15.9%
|
| Sysmiss | 37135 |
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.