Season Agriculture Survey 2023
Rwanda, 2022 - 2023
Get Microdata
Reference ID
RWA_2023_SAS_v01_M_v01_A_ESS
Producer(s)
National Institute of Statistics of Rwanda
Created on
Oct 30, 2024
Last modified
Oct 30, 2024
Page views
1075
Downloads
19
- 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
V54 (V54)
Data file: rwa-sas-seasonB_Crop production
Overview
Valid:
1898
Invalid:
0
Type:
Discrete
Width:
33
Range:
-
Format:
character
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| Appropriate seeds | 47 |
2.5%
|
|
| Biennial effect for coffee | 15 |
0.8%
|
|
| Crop destroyed by animals(grazes) | 8 |
0.4%
|
|
| Crop destroyed by wild animals | 3 |
0.2%
|
|
| Crop not yet mature | 46 |
2.4%
|
|
| Diseases and pests | 221 |
11.6%
|
|
| Flood | 8 |
0.4%
|
|
| Good Agricultural practices | 56 |
3%
|
|
| Inappropriate seeds | 155 |
8.2%
|
|
| Insufficient rainfall | 3 |
0.2%
|
|
| Insufficient/Lack of fertilizers | 58 |
3.1%
|
|
| Landslide | 48 |
2.5%
|
|
| Late sowing | 390 |
20.5%
|
|
| Other reason (Specify) | 132 |
7%
|
|
| Over mixing of crops | 217 |
11.4%
|
|
| Sowing on time | 112 |
5.9%
|
|
| Strong winds | 25 |
1.3%
|
|
| Unfertile soil | 204 |
10.7%
|
|
| lack of improved seed | 149 |
7.9%
|
|
| s2q24_3 | 1 |
0.1%
|
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.