Rwanda Seasonal Agriculture Survey 2020
Rwanda, 2019 - 2020
Get Microdata
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
20716
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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
3.1 Crop name (s3q1)
Data file: rwa-sas-seasonC-Screening_crops
Overview
Valid:
8280
Invalid:
2617
Type:
Discrete
Decimal:
0
Width:
42
Range:
101 - 510
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 101 | Maize | 118 |
1.4%
|
| 102 | Paddy rice | 47 |
0.6%
|
| 103 | Sorghum | 26 |
0.3%
|
| 104 | Wheat | 51 |
0.6%
|
| 105 | Other cereal(specify) | 0 |
0%
|
| 106 | Bush bean | 585 |
7.1%
|
| 107 | Climbing bean | 65 |
0.8%
|
| 108 | Pea | 255 |
3.1%
|
| 109 | Other pulse | 0 |
0%
|
| 110 | Irish potato | 648 |
7.8%
|
| 111 | Sweet potato | 1497 |
18.1%
|
| 112 | Taro | 83 |
1%
|
| 113 | Yams | 0 |
0%
|
| 114 | Other tubers | 0 |
0%
|
| 115 | Tomato | 840 |
10.1%
|
| 116 | Cabbage | 739 |
8.9%
|
| 117 | Cauliflower | 5 |
0.1%
|
| 118 | Onion | 321 |
3.9%
|
| 119 | Carrot | 295 |
3.6%
|
| 120 | Eggplant | 541 |
6.5%
|
| 121 | Other seasonal vegetables(specify) | 85 |
1%
|
| 122 | Soybean | 107 |
1.3%
|
| 123 | Groundnut | 17 |
0.2%
|
| 124 | Sun flower | 1 |
0%
|
| 125 | Black eggplant | 19 |
0.2%
|
| 126 | Sweet pepper | 141 |
1.7%
|
| 127 | Amaranth | 219 |
2.6%
|
| 128 | celery | 14 |
0.2%
|
| 129 | Spinach | 15 |
0.2%
|
| 130 | Small red bean | 0 |
0%
|
| 131 | Beet root | 131 |
1.6%
|
| 132 | Garlic | 16 |
0.2%
|
| 133 | African cabbage | 0 |
0%
|
| 134 | Leek | 3 |
0%
|
| 135 | French beans | 114 |
1.4%
|
| 136 | Letus | 2 |
0%
|
| 137 | Brocolli | 6 |
0.1%
|
| 138 | Millet | 0 |
0%
|
| 139 | Cucumber | 3 |
0%
|
| 140 | Other seasonal crops | 24 |
0.3%
|
| 201 | Pyrethrum | 84 |
1%
|
| 202 | Pepper | 3 |
0%
|
| 203 | Pumpkin | 0 |
0%
|
| 204 | Napia grass | 17 |
0.2%
|
| 205 | Sugar cane | 113 |
1.4%
|
| 206 | Other annual crops(specify) | 0 |
0%
|
| 300 | Banana | 0 |
0%
|
| 301 | Cooking banana | 210 |
2.5%
|
| 302 | Dessert banana | 170 |
2.1%
|
| 303 | Banana for beer | 260 |
3.1%
|
| 304 | Coffee | 17 |
0.2%
|
| 305 | Cassava | 253 |
3.1%
|
| 306 | Mulberry | 2 |
0%
|
| 307 | Jatropha | 0 |
0%
|
| 308 | Stevia | 0 |
0%
|
| 309 | Macadamia | 1 |
0%
|
| 310 | Tea | 10 |
0.1%
|
| 311 | Other perennial crop(Specify) | 1 |
0%
|
| 401 | Tree tomato | 11 |
0.1%
|
| 402 | Pineapple | 0 |
0%
|
| 403 | Avocado | 1 |
0%
|
| 404 | Passion fruits | 2 |
0%
|
| 405 | Palm | 0 |
0%
|
| 406 | Mango | 1 |
0%
|
| 407 | Apple | 0 |
0%
|
| 408 | Papaya | 2 |
0%
|
| 409 | Orange | 0 |
0%
|
| 410 | Lemon | 1 |
0%
|
| 411 | Guava | 0 |
0%
|
| 412 | Oliver | 0 |
0%
|
| 413 | Water melon | 32 |
0.4%
|
| 414 | Mandaline | 0 |
0%
|
| 415 | Jack fruits | 0 |
0%
|
| 416 | Jack Fruits | 0 |
0%
|
| 417 | Goosebery | 0 |
0%
|
| 418 | Sugar Apple/Coeur de Boeuf/Annona squamosa | 0 |
0%
|
| 419 | Other fruits(specify) | 0 |
0%
|
| 501 | Napia grass for fodder | 20 |
0.2%
|
| 502 | Maize for fodder | 1 |
0%
|
| 503 | Soybean for fodder | 0 |
0%
|
| 504 | Leucena | 0 |
0%
|
| 509 | Herbaceous | 31 |
0.4%
|
| 510 | other fodder crop(specify) | 4 |
0%
|
| Sysmiss | 2617 |
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.