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
14312
Downloads
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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
Id Quest (idquest)
Data file: Sea_B_lsf_farmq_part7
Overview
Valid:
502
Invalid:
0
Minimum:
11003
Maximum:
57023
Type:
Discrete
Decimal:
0
Start:
1
End:
5
Width:
5
Range:
-
Format:
Questions and instructions
Categories
| Value | Category |
|---|---|
| 11003 | |
| 12002 | |
| 12004 | |
| 12008 | |
| 12013 | |
| 12021 | |
| 12026 | |
| 12027 | |
| 12029 | |
| 12030 | |
| 12033 | |
| 12034 | |
| 13001 | |
| 13011 | |
| 13014 | |
| 13020 | |
| 13023 | |
| 13027 | |
| 21008 | |
| 22003 | |
| 22007 | |
| 22010 | |
| 22011 | |
| 22012 | |
| 22014 | |
| 22017 | |
| 22018 | |
| 22019 | |
| 22020 | |
| 23004 | |
| 24001 | |
| 24002 | |
| 24005 | |
| 24006 | |
| 24007 | |
| 24008 | |
| 24009 | |
| 24010 | |
| 24012 | |
| 24013 | |
| 24014 | |
| 25002 | |
| 25006 | |
| 25007 | |
| 26004 | |
| 26005 | |
| 26006 | |
| 26008 | |
| 27002 | |
| 27003 | |
| 27004 | |
| 28002 | |
| 28004 | |
| 28005 | |
| 28006 | |
| 28011 | |
| 28013 | |
| 31003 | |
| 33003 | |
| 33503 | |
| 33504 | |
| 36004 | |
| 36006 | |
| 36007 | |
| 36009 | |
| 36010 | |
| 41005 | |
| 41010 | |
| 41013 | |
| 41017 | |
| 42008 | |
| 43005 | |
| 45002 | |
| 45006 | |
| 45012 | |
| 51002 | |
| 51005 | |
| 51010 | |
| 51012 | |
| 51013 | |
| 51014 | |
| 51019 | |
| 51020 | |
| 51024 | |
| 51025 | |
| 51027 | |
| 51029 | |
| 51030 | |
| 51040 | |
| 51041 | |
| 51045 | |
| 52007 | |
| 52011 | |
| 52019 | |
| 52021 | |
| 52027 | |
| 52028 | |
| 52031 | |
| 52037 | |
| 52042 | |
| 52049 | |
| 52058 | |
| 52061 | |
| 52063 | |
| 52078 | |
| 52082 | |
| 52086 | |
| 52087 | |
| 52090 | |
| 52122 | |
| 52502 | |
| 52503 | |
| 52513 | |
| 52514 | |
| 52517 | |
| 52518 | |
| 53006 | |
| 53009 | |
| 53011 | |
| 53012 | |
| 53014 | |
| 53015 | |
| 53019 | |
| 53021 | |
| 53022 | |
| 53025 | |
| 53026 | |
| 53027 | |
| 53028 | |
| 53029 | |
| 53034 | |
| 53044 | |
| 53045 | |
| 53049 | |
| 53051 | |
| 53064 | |
| 53067 | |
| 54014 | |
| 54015 | |
| 54024 | |
| 54034 | |
| 54040 | |
| 54041 | |
| 54057 | |
| 54075 | |
| 54079 | |
| 54082 | |
| 54091 | |
| 54103 | |
| 54108 | |
| 54111 | |
| 54131 | |
| 54134 | |
| 55003 | |
| 55004 | |
| 56007 | |
| 56010 | |
| 57001 | |
| 57002 | |
| 57008 | |
| 57010 | |
| 57011 | |
| 57012 | |
| 57013 | |
| 57015 | |
| 57016 | |
| 57018 | |
| 57021 | |
| 57023 |
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.