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
21474
Downloads
364
- 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
How much did you pay for this tool/equipment?(unit price) (uic5)
Data file: Sea_B_farmq_part6a
Overview
Valid:
10537
Invalid:
167737
Minimum:
1
Maximum:
160000
Type:
Discrete
Decimal:
0
Start:
16
End:
21
Width:
6
Range:
-
Format:
Questions and instructions
Categories
| Value | Category |
|---|---|
| 1 | |
| 3 | |
| 12 | |
| 30 | |
| 40 | |
| 50 | |
| 100 | |
| 125 | |
| 150 | |
| 175 | |
| 180 | |
| 200 | |
| 217 | |
| 220 | |
| 225 | |
| 240 | |
| 250 | |
| 260 | |
| 270 | |
| 275 | |
| 280 | |
| 284 | |
| 285 | |
| 290 | |
| 292 | |
| 293 | |
| 300 | |
| 320 | |
| 326 | |
| 350 | |
| 353 | |
| 375 | |
| 400 | |
| 445 | |
| 450 | |
| 453 | |
| 470 | |
| 474 | |
| 485 | |
| 488 | |
| 500 | |
| 522 | |
| 533 | |
| 550 | |
| 600 | |
| 640 | |
| 650 | |
| 700 | |
| 750 | |
| 800 | |
| 833 | |
| 900 | |
| 943 | |
| 950 | |
| 994 | |
| 1000 | |
| 1040 | |
| 1050 | |
| 1100 | |
| 1150 | |
| 1163 | |
| 1200 | |
| 1250 | |
| 1300 | |
| 1325 | |
| 1350 | |
| 1400 | |
| 1406 | |
| 1500 | |
| 1550 | |
| 1600 | |
| 1700 | |
| 1750 | |
| 1770 | |
| 1773 | |
| 1785 | |
| 1800 | |
| 1826 | |
| 1850 | |
| 1900 | |
| 1930 | |
| 1950 | |
| 2000 | |
| 2100 | |
| 2160 | |
| 2200 | |
| 2250 | |
| 2300 | |
| 2400 | |
| 2438 | |
| 2500 | |
| 2600 | |
| 2634 | |
| 2700 | |
| 2800 | |
| 2900 | |
| 3000 | |
| 3200 | |
| 3250 | |
| 3500 | |
| 3700 | |
| 4000 | |
| 4500 | |
| 5000 | |
| 5125 | |
| 5500 | |
| 5700 | |
| 5800 | |
| 6000 | |
| 6250 | |
| 6500 | |
| 6700 | |
| 7000 | |
| 7200 | |
| 7250 | |
| 7300 | |
| 7500 | |
| 7750 | |
| 8000 | |
| 9000 | |
| 9500 | |
| 9687 | |
| 10000 | |
| 10750 | |
| 10928 | |
| 11000 | |
| 11278 | |
| 11500 | |
| 12000 | |
| 12250 | |
| 12500 | |
| 13000 | |
| 14000 | |
| 14300 | |
| 14500 | |
| 15000 | |
| 17000 | |
| 18000 | |
| 20000 | |
| 22000 | |
| 23000 | |
| 24000 | |
| 25000 | |
| 30000 | |
| 32000 | |
| 35000 | |
| 36000 | |
| 38000 | |
| 40000 | |
| 42000 | |
| 45000 | |
| 48000 | |
| 50000 | |
| 52000 | |
| 55000 | |
| 56000 | |
| 60000 | |
| 62000 | |
| 63000 | |
| 65000 | |
| 67500 | |
| 68000 | |
| 70000 | |
| 72000 | |
| 75000 | |
| 80000 | |
| 85000 | |
| 150000 | |
| 160000 | |
| 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.