Seasonal Agriculture Survey 2015-2016
Rwanda, 2015 - 2016
Get Microdata
Reference ID
RWA_2015_SAS_v01_M
Producer(s)
National Institute of Statistics of Rwanda
Created on
Sep 19, 2018
Last modified
Sep 19, 2018
Page views
21034
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- Data files
- Sea_A_Part_I_FARM
- Sea_A_Part_I_FARM_BIG
- Sea_A_Part_II_A
- Sea_A_Part_II_A_BIG
- Sea_A_Part_II_B
- Sea_A_Part_IV
- Sea_A_Part_IV_BIG
- Sea_A_Part_VI_A
- Sea_A_Part_VI_A_BIG
- Sea_A_Part_VI_B
- Sea_A_Part_VI_B_BIG
- Sea_A_Part_VII_BIG
- Sea_A_screening_2016_a_final
- Sea_A_SCREENING_2016_A_Final_BIG
- Sea_A_Yield
- Sea_B_farmq_part0
- Sea_B_farmq_part1
- Sea_B_farmq_part2a
- Sea_B_farmq_part2b
- Sea_B_farmq_part4
- Sea_B_farmq_part6a
- Sea_B_farmq_part6b
- Sea_B_farmq_part7
- Sea_B_farmq_Screening
- Sea_B_lsf_farmq_part0
- Sea_B_lsf_farmq_part1
- Sea_B_lsf_farmq_part2a
- Sea_B_lsf_farmq_part2b
- Sea_B_lsf_farmq_part4
- Sea_B_lsf_farmq_part6a
- Sea_B_lsf_farmq_part6b
- Sea_B_lsf_farmq_part7
- Sea_B_lsf_Screening
- Sea_B_Yield
- Sea_C_farmq_part0
- Sea_C_farmq_part1
- Sea_C_farmq_part2a
- Sea_C_farmq_part2b
- Sea_C_farmq_part4
- Sea_C_farmq_part6a
- Sea_C_farmq_part6b
- Sea_C_farmq_part7
- Sea_C_screening2016C
- Sea_C_Yield
- Sea_A_Part_II_B_BIG
- Sea_A_Part_VII
Crop code (crop_code)
Data file: Sea_A_screening_2016_a_final
Overview
Valid:
105511
Invalid:
15
Type:
Discrete
Decimal:
0
Start:
22
End:
24
Width:
3
Range:
-
Format:
Questions and instructions
Categories
| Value | Category |
|---|---|
| 1 | Maize |
| 2 | Paddy rice |
| 3 | Sorghum |
| 4 | Wheat |
| 5 | Other cereals |
| 6 | Bush beans |
| 7 | Climbing beans |
| 8 | Peas |
| 9 | Other legumes & pulses |
| 10 | Cassava |
| 11 | Irish potatoes |
| 12 | Sweet potatoes |
| 14 | Tomatoes |
| 15 | White cabbage |
| 16 | Flower cabbage |
| 17 | Onions |
| 18 | Carrots |
| 19 | Eggplant |
| 21 | Cooking bananas |
| 22 | Dessert bananas |
| 23 | Banana for beer |
| 24 | Pineapple |
| 25 | Avocado |
| 26 | Passion fruits |
| 27 | Other fruits |
| 28 | Soya beans |
| 29 | Ground nuts |
| 30 | Sun flower |
| 31 | Other oil seeds |
| 32 | Coffee |
| 33 | Pyrethrum |
| 35 | Black eggplants |
| 36 | Sweet pepper |
| 37 | Pepper |
| 38 | Amaranths |
| 39 | Celery |
| 40 | Spinach |
| 41 | Small red beans |
| 42 | Sugar beets |
| 43 | Garlic |
| 44 | African cabbage |
| 45 | Leeks |
| 46 | French beans |
| 47 | Lettuce |
| 48 | Broccoli |
| 49 | Napier grass |
| 50 | Sugar cane |
| 51 | Fodder crop |
| 52 | Macadamia |
| 53 | Olive crop |
| 54 | Mango |
| 55 | Apple |
| 56 | Papaya |
| 57 | Tree tomato |
| 58 | Orange |
| 59 | Lemon |
| 60 | Guava |
| 61 | White mulberry |
| 62 | Mucuna |
| 63 | Leucena |
| 64 | Desmodium |
| 65 | Millet |
| 66 | Stevia |
| 67 | Jatropha |
| 68 | Other tubers |
| 69 | Pumpkins |
| 70 | Cucumber |
| 71 | Palm tree |
| 72 | Tea |
| 97 | |
| 98 | |
| 99 | |
| 131 | Taro |
| 132 | Yams |
| 201 | Other seasonal vegetables |
| 202 | Other annual vegetables |
| 203 | Other perennial vegetables |
| 341 | Other seasonal crops |
| 342 | Other annual crops |
| 343 | Other perennial crops |
| Sysmiss |
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.