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
18735
Downloads
292
- 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
Total amount spent on this tool/equipment Amount(RWF) (uic6)
Data file: Sea_B_farmq_part6a
Overview
Valid:
10538
Invalid:
167736
Minimum:
0
Maximum:
2625000
Type:
Discrete
Decimal:
0
Start:
22
End:
28
Width:
7
Range:
-
Format:
Questions and instructions
Categories
| Value | Category |
|---|---|
| 0 | |
| 60 | |
| 100 | |
| 120 | |
| 150 | |
| 200 | |
| 250 | |
| 280 | |
| 300 | |
| 330 | |
| 350 | |
| 400 | |
| 440 | |
| 450 | |
| 500 | |
| 550 | |
| 600 | |
| 650 | |
| 660 | |
| 700 | |
| 720 | |
| 750 | |
| 800 | |
| 900 | |
| 950 | |
| 1000 | |
| 1050 | |
| 1100 | |
| 1200 | |
| 1250 | |
| 1280 | |
| 1300 | |
| 1350 | |
| 1400 | |
| 1500 | |
| 1550 | |
| 1600 | |
| 1700 | |
| 1750 | |
| 1800 | |
| 1850 | |
| 1900 | |
| 1950 | |
| 1995 | |
| 2000 | |
| 2100 | |
| 2200 | |
| 2250 | |
| 2300 | |
| 2400 | |
| 2450 | |
| 2500 | |
| 2600 | |
| 2700 | |
| 2800 | |
| 2900 | |
| 3000 | |
| 3080 | |
| 3200 | |
| 3250 | |
| 3300 | |
| 3400 | |
| 3500 | |
| 3600 | |
| 3700 | |
| 3800 | |
| 3900 | |
| 4000 | |
| 4200 | |
| 4320 | |
| 4400 | |
| 4500 | |
| 4600 | |
| 4698 | |
| 4800 | |
| 4998 | |
| 5000 | |
| 5100 | |
| 5250 | |
| 5310 | |
| 5400 | |
| 5500 | |
| 5600 | |
| 5700 | |
| 5800 | |
| 5950 | |
| 6000 | |
| 6001 | |
| 6250 | |
| 6400 | |
| 6500 | |
| 6700 | |
| 6800 | |
| 7000 | |
| 7200 | |
| 7250 | |
| 7300 | |
| 7500 | |
| 7600 | |
| 7700 | |
| 8000 | |
| 8100 | |
| 8320 | |
| 8400 | |
| 8500 | |
| 8700 | |
| 9000 | |
| 9500 | |
| 10000 | |
| 10250 | |
| 10400 | |
| 10500 | |
| 10600 | |
| 10800 | |
| 11000 | |
| 11284 | |
| 11500 | |
| 12000 | |
| 12250 | |
| 12500 | |
| 12600 | |
| 12610 | |
| 13000 | |
| 13300 | |
| 13600 | |
| 14000 | |
| 14400 | |
| 14500 | |
| 14694 | |
| 14800 | |
| 15000 | |
| 15500 | |
| 15904 | |
| 16000 | |
| 16974 | |
| 17000 | |
| 17500 | |
| 18000 | |
| 18608 | |
| 19500 | |
| 20000 | |
| 21090 | |
| 21200 | |
| 22000 | |
| 22500 | |
| 23000 | |
| 23706 | |
| 24000 | |
| 25000 | |
| 26000 | |
| 27000 | |
| 27500 | |
| 27600 | |
| 28000 | |
| 28200 | |
| 28500 | |
| 29000 | |
| 30000 | |
| 30600 | |
| 30804 | |
| 31694 | |
| 32000 | |
| 33672 | |
| 35000 | |
| 35150 | |
| 35640 | |
| 36000 | |
| 36039 | |
| 36935 | |
| 37500 | |
| 38000 | |
| 39000 | |
| 40000 | |
| 41100 | |
| 42000 | |
| 44000 | |
| 45000 | |
| 46098 | |
| 48000 | |
| 50000 | |
| 51000 | |
| 52000 | |
| 55000 | |
| 56000 | |
| 60000 | |
| 62000 | |
| 63000 | |
| 63600 | |
| 65000 | |
| 68000 | |
| 69400 | |
| 70000 | |
| 72000 | |
| 76496 | |
| 76755 | |
| 77496 | |
| 78750 | |
| 80000 | |
| 81700 | |
| 84000 | |
| 85000 | |
| 85500 | |
| 88040 | |
| 90000 | |
| 101502 | |
| 109862 | |
| 128188 | |
| 135000 | |
| 150000 | |
| 160000 | |
| 185900 | |
| 193500 | |
| 200000 | |
| 218090 | |
| 240000 | |
| 298000 | |
| 300000 | |
| 2625000 | |
| 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.