Rwanda Seasonal Agriculture Survey 2020
Rwanda, 2019 - 2020
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Reference ID
RWA_2020_RSAS_v01_EN_M_v01_A_OCS
Producer(s)
National Institute of Statistics of Rwanda
Collections
Metadata
Created on
Apr 12, 2022
Last modified
Apr 12, 2022
Page views
10781
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- 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
3.15 Main crops to be fertilized? (s3q15)
Data file: rwa-sas-SeasonC_PartIII_Fertilizers_Pesticides
Overview
Valid:
3608
Invalid:
2010
Type:
Discrete
Decimal:
0
Width:
34
Range:
101 - 510
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 101 | Maize | 1 |
0%
|
| 102 | Paddy rice | 0 |
0%
|
| 103 | Sorghum | 0 |
0%
|
| 104 | Wheat | 0 |
0%
|
| 105 | Other cereal(specify) | 0 |
0%
|
| 106 | Bush bean | 175 |
4.9%
|
| 107 | Climbing bean | 11 |
0.3%
|
| 108 | Pea | 65 |
1.8%
|
| 109 | Other pulse(specify) | 0 |
0%
|
| 110 | Irish potato | 952 |
26.4%
|
| 111 | Sweet potato | 34 |
0.9%
|
| 112 | Taro | 0 |
0%
|
| 113 | Yams | 0 |
0%
|
| 114 | Other tubers(specify) | 0 |
0%
|
| 115 | Tomato | 869 |
24.1%
|
| 116 | Cabbage | 296 |
8.2%
|
| 117 | Cauliflower | 13 |
0.4%
|
| 118 | Onion | 268 |
7.4%
|
| 119 | Carrot | 112 |
3.1%
|
| 120 | Eggplant | 316 |
8.8%
|
| 121 | Other seasonal vegetables(specify) | 7 |
0.2%
|
| 122 | Soybean | 8 |
0.2%
|
| 123 | Groundnut | 4 |
0.1%
|
| 124 | Sun flower | 0 |
0%
|
| 125 | Black eggplant | 12 |
0.3%
|
| 126 | Sweet pepper | 56 |
1.6%
|
| 127 | Amaranth | 144 |
4%
|
| 128 | Celery | 1 |
0%
|
| 129 | Spinach | 18 |
0.5%
|
| 130 | Small red bean | 0 |
0%
|
| 131 | Beet root | 41 |
1.1%
|
| 132 | Garlic | 15 |
0.4%
|
| 133 | African cabbage | 0 |
0%
|
| 134 | Leek | 4 |
0.1%
|
| 135 | French beans | 139 |
3.9%
|
| 136 | Letus | 0 |
0%
|
| 137 | Brocolli | 9 |
0.2%
|
| 138 | Millet | 0 |
0%
|
| 139 | Cucumber | 9 |
0.2%
|
| 140 | Other seasonal crops(specify). | 0 |
0%
|
| 201 | Pyrethrum | 0 |
0%
|
| 202 | Pepper | 0 |
0%
|
| 203 | Pumpkin | 2 |
0.1%
|
| 204 | Napia grass | 0 |
0%
|
| 205 | Sugar cane | 0 |
0%
|
| 206 | Other annual crops (specify). | 0 |
0%
|
| 301 | Cooking banana | 0 |
0%
|
| 302 | Dessert banana | 0 |
0%
|
| 303 | Banana for beer | 0 |
0%
|
| 304 | Coffee | 0 |
0%
|
| 305 | Cassava | 0 |
0%
|
| 306 | Mulberry | 0 |
0%
|
| 307 | Jatropha | 0 |
0%
|
| 308 | Stevia | 0 |
0%
|
| 309 | Macadamia | 0 |
0%
|
| 310 | Tea | 0 |
0%
|
| 311 | Other perennial crop (Specify). | 0 |
0%
|
| 401 | Tree tomato | 0 |
0%
|
| 402 | Pineapple | 0 |
0%
|
| 403 | Avocado | 0 |
0%
|
| 404 | Passion fruits | 0 |
0%
|
| 405 | Palm | 0 |
0%
|
| 406 | Mango | 0 |
0%
|
| 407 | Apple | 0 |
0%
|
| 408 | Papaya | 0 |
0%
|
| 409 | Orange | 0 |
0%
|
| 410 | Lemon | 0 |
0%
|
| 411 | Guava | 0 |
0%
|
| 412 | Olive | 0 |
0%
|
| 413 | Water melon | 27 |
0.7%
|
| 414 | Other fruits (specify). | 0 |
0%
|
| 415 | Mandoline | 0 |
0%
|
| 416 | Jack Fruits | 0 |
0%
|
| 417 | Goosebery | 0 |
0%
|
| 418 | Strawberry | 0 |
0%
|
| 419 | Coeur de boeuf | 0 |
0%
|
| 501 | Napia grass for fodder | 0 |
0%
|
| 502 | Maize for fodder | 0 |
0%
|
| 503 | Soybean for fodder | 0 |
0%
|
| 504 | Leucena | 0 |
0%
|
| 505 | Desmodium | 0 |
0%
|
| 506 | Mucuna | 0 |
0%
|
| 507 | Setaria | 0 |
0%
|
| 508 | Tripsacum | 0 |
0%
|
| 509 | Herbaceous | 0 |
0%
|
| 510 | Other fodder crop (specify). | 0 |
0%
|
| Sysmiss | 2010 |
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.