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    Home / Food and Agriculture Microdata Catalogue / AGRICULTURAL-SURVEYS / RWA_2017_RSAS_V01_EN_M_V01_A_OCS / variable [F48]
agricultural-surveys

Rwanda Seasonal Agriculture Survey 2017

Rwanda, 2016 - 2017
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Reference ID
RWA_2017_RSAS_v01_EN_M_v01_A_OCS
Producer(s)
National Institute of Statistics of Rwanda
Collections
Agricultural Surveys
Metadata
Documentation in PDF DDI/XML JSON
Created on
Jul 10, 2019
Last modified
Jul 10, 2019
Page views
105770
Downloads
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  • Study Description
  • Data Dictionary
  • Downloads
  • Get Microdata
  • 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

2.11.Crop name (s2q11)

Data file: SeasonB_2017_LSF_Screening

Overview

Valid: 1716
Invalid: 1091
Type: Discrete
Decimal: 0
Start: 34
End: 36
Width: 3
Range: 97 - 606
Format: Numeric

Questions and instructions

Categories
Value Category Cases
97 Pasture 0
0%
98 Fallow 0
0%
99 Non-agricultural 0
0%
101 Maize 191
11.1%
102 Paddy rice 83
4.8%
103 Sorghum 59
3.4%
104 Wheat 8
0.5%
105 Other cereal(specify) 0
0%
106 Bush bean 216
12.6%
107 Climbing bean 5
0.3%
108 Pea 6
0.3%
109 Other pulse 1
0.1%
111 Irish potato 50
2.9%
112 Sweet potato 64
3.7%
114 Tomato 15
0.9%
115 Cabbage 31
1.8%
116 Cauliflower 3
0.2%
117 Onion 21
1.2%
118 Carrot 14
0.8%
119 Eggplant 21
1.2%
120 Other seasonal vegetable 7
0.4%
128 Soybean 43
2.5%
129 Groundnut 20
1.2%
130 Sun flower 9
0.5%
134 Other seasonal crop 4
0.2%
135 Black eggplant 3
0.2%
136 Sweet pepper 9
0.5%
138 Amaranth 21
1.2%
139 Celery 1
0.1%
140 Spinach 4
0.2%
141 Small red bean 1
0.1%
142 Sugar beet 12
0.7%
143 Garlic 0
0%
144 African cabbage 0
0%
145 Leek 1
0.1%
146 French bean 16
0.9%
147 Letus 1
0.1%
148 Brocolli 4
0.2%
162 Millet 0
0%
165 Other tuber (specify) 0
0%
167 Cucumber 2
0.1%
201 0
0%
213 Taro 5
0.3%
214 Yam 0
0%
220 Other annual vegetable 2
0.1%
233 Pyrethrum 0
0%
234 Other annual crop 6
0.3%
237 Pepper 1
0.1%
249 Napia grass 8
0.5%
257 Tree tomato 9
0.5%
265 Other tuber 0
0%
266 Pumpkin 1
0.1%
267 0
0%
310 Cassava 87
5.1%
320 Other perennial vegetable 2
0.1%
321 Cooking banana 123
7.2%
322 Dessert banana 46
2.7%
323 Banana for beer 18
1%
324 Pineapple 16
0.9%
325 Avocado 25
1.5%
326 Passion fruit 11
0.6%
327 Other fruit 8
0.5%
331 Other oil seed 0
0%
332 Coffee 35
2%
334 Other perennial crop 16
0.9%
350 Sugar cane 0
0%
352 Macadamia 19
1.1%
353 Olive 2
0.1%
354 Mango 51
3%
355 Apple 3
0.2%
356 Papaya 40
2.3%
358 Orange 18
1%
359 Lemon 7
0.4%
360 Guava 4
0.2%
361 Mulberry 0
0%
363 Stevia 0
0%
364 Jatropha 2
0.1%
365 Other tuber (specify) 0
0%
368 Palm 26
1.5%
369 Tea 1
0.1%
511 Napia grass for fodder 77
4.5%
512 Maize for fodder 30
1.7%
513 Soya for fodder 5
0.3%
514 Leucena 1
0.1%
515 Desmodium 3
0.2%
516 Mucuna 19
1.1%
517 Setaria 0
0%
518 Tripsacum 0
0%
519 Other fodder crop (specify). 43
2.5%
601 Beef tomatoes 0
0%
602 Pineaple 0
0%
603 Jackfruit 0
0%
604 Strawberry 0
0%
605 Gapeli 0
0%
606 Watermelon 0
0%
Sysmiss 1091
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.
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