Rwanda Seasonal Agriculture Survey 2017
Rwanda, 2016 - 2017
Get Microdata
Reference ID
RWA-NISR-RSAS-2017-V0.1
Producer(s)
National Institute of Statistics of Rwanda
Metadata
Created on
Feb 14, 2019
Last modified
Feb 14, 2019
Page views
496551
Downloads
6496
- Data files
- SeasonA_2017_LSF_Antierosion
-
SeasonA_2017_LSF_Crop
production - SeasonA_2017_LSF_Fertilizers
- SeasonA_2017_LSF_Irrigation_Soil_preparation_and_Land_tenure
- SeasonA_2017_LSF_Pesticides
- SeasonA_2017_LSF_Screening
- SeasonA_2017_SSF_Antierosion
-
SeasonA_2017_SSF_Crop
production - SeasonA_2017_SSF_Fertilizers
- SeasonA_2017_SSF_Irrigation_Soil_preparation_and_Land_tenure
- SeasonA_2017_SSF_Pesticides
- SeasonA_2017_SSF_Screening
- SeasonB_2017_LSF_Antierosion
-
SeasonB_2017_LSF_Crop
production - SeasonB_2017_LSF_Fertilizers
- SeasonB_2017_LSF_Irrigation_Soil_preparation_and_Land_tenure
- SeasonB_2017_LSF_Pesticides
- SeasonB_2017_LSF_Screening
- SeasonB_2017_SSF_Antierosion
-
SeasonB_2017_SSF_Crop
production - SeasonB_2017_SSF_Fertilizers
- SeasonB_2017_SSF_Irrigation_Soil_preparation_and_Land_tenure
- SeasonB_2017_SSF_Pesticides
- SeasonB_2017_SSF_Screening
- SeasonC_2017_SSF_Antierosion
-
SeasonC_2017_SSF_Crop
production - SeasonC_2017_SSF_Fertilizers
- SeasonC_2017_SSF_Irrigation_Soil_preparation_and_Land_tenure
- SeasonC_2017_SSF_Pesticides
- SeasonC_2017_SSF_Screening
Types of anti erosion activities existing in the plot (s4q3)
Data file: SeasonB_2017_LSF_Antierosion
Overview
Valid:
762
Invalid:
442
Type:
Discrete
Decimal:
0
Start:
20
End:
20
Width:
1
Range:
0 - 9
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 0 | NA | 0 |
0%
|
| 1 | Ditches | 171 |
22.4%
|
| 2 | Trees/Wind break/Shelterbelt | 64 |
8.4%
|
| 3 | Bench terraces | 49 |
6.4%
|
| 4 | Progressive terraces | 4 |
0.5%
|
| 5 | Cover plants/grasses | 176 |
23.1%
|
| 6 | Water drainage | 186 |
24.4%
|
| 7 | Mulching | 51 |
6.7%
|
| 8 | Beds/ridges | 23 |
3%
|
| 9 | Other(specify) | 38 |
5%
|
| Sysmiss | 442 |
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.