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    Home / Food and Agriculture Microdata Catalogue / AGRICULTURAL-SURVEYS / RWA_2023_RSAS_V01_EN_M_V01_A_ESS / variable [F14]
agricultural-surveys

Rwanda Season Agriculture Survey 2023

Rwanda, 2022 - 2023
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Reference ID
RWA_2023_RSAS_v01_EN_M_v01_A_ESS
Producer(s)
National Institute of Statistics of Rwanda
Collections
Agricultural Surveys
Metadata
Documentation in PDF DDI/XML JSON
Created on
May 02, 2024
Last modified
May 29, 2024
Page views
15316
Downloads
168
  • Study Description
  • Data Dictionary
  • Downloads
  • Get Microdata
  • Data files
  • rwa-sas-seasonA_Crop
    production
  • rwa-sas-SeasonA_PartIII_Fertilizers_Pesticides
  • rwa-sas-SeasonA_PartIV_Agricultural
    practice
  • rwa-sas-seasonA_Screening_Agroforestry
  • rwa-sas-seasonA_Screening_Antierosion_land
    consolidation
  • rwa-sas-seasonA-Screening_crops
  • rwa-sas-seasonB_Crop
    production
  • rwa-sas-SeasonB_PartIII_Fertilizers_Pesticides
  • rwa-sas-SeasonB_PartIV_Agricultural
    practice
  • rwa-sas-seasonB_Screening_Agroforestry
  • rwa-sas-seasonB_Screening_Antierosion_land
    consolidation
  • rwa-sas-seasonB-Screening_crops
  • rwa-sas-seasonC_Crop
    production
  • rwa-sas-SeasonC_PartIII_Fertilizers_Pesticides
  • rwa-sas-SeasonC_PartIV_Agricultural
    practice
  • rwa-sas-seasonC_Screening_Agroforestry
  • rwa-sas-seasonC_Screening_Antierosion_land
    consolidation
  • rwa-sas-seasonC-Screening_crops

V68 (V68)

Data file: rwa-sas-SeasonC_PartIII_Fertilizers_Pesticides

Overview

Valid: 1063
Invalid: 0
Type: Discrete
Width: 7
Range: -
Format: character

Questions and instructions

Categories
Value Category Cases
1000 20
1.9%
10000 25
2.4%
100000 6
0.6%
1000000 1
0.1%
10400 4
0.4%
104000 1
0.1%
1050 1
0.1%
10500 2
0.2%
10600 1
0.1%
10800 2
0.2%
108000 1
0.1%
1100 3
0.3%
11000 7
0.7%
110000 1
0.1%
11200 3
0.3%
116000 1
0.1%
11900 1
0.1%
1200 17
1.6%
12000 18
1.7%
120000 2
0.2%
1250 7
0.7%
12500 1
0.1%
125000 1
0.1%
126000 1
0.1%
1300 4
0.4%
13000 1
0.1%
130000 1
0.1%
13200 1
0.1%
1350 2
0.2%
13500 1
0.1%
13600 1
0.1%
13800 1
0.1%
1400 13
1.2%
14000 1
0.1%
14400 2
0.2%
14700 1
0.1%
150 1
0.1%
1500 68
6.4%
15000 18
1.7%
150000 1
0.1%
152000 1
0.1%
15500 1
0.1%
15600 3
0.3%
160 1
0.1%
1600 6
0.6%
16000 3
0.3%
16200 1
0.1%
162000 1
0.1%
16500 7
0.7%
1700 14
1.3%
17000 3
0.3%
1750 1
0.1%
17500 1
0.1%
1800 15
1.4%
18000 5
0.5%
180000 1
0.1%
18200 1
0.1%
19200 2
0.2%
195000 1
0.1%
200 6
0.6%
2000 52
4.9%
20000 20
1.9%
204000 1
0.1%
20800 2
0.2%
2100 5
0.5%
21000 1
0.1%
2160 1
0.1%
21600 1
0.1%
2200 5
0.5%
22000 5
0.5%
2250 2
0.2%
2300 1
0.1%
2380 1
0.1%
2400 12
1.1%
24000 10
0.9%
240000 3
0.3%
2500 38
3.6%
25000 10
0.9%
2600 5
0.5%
26000 3
0.3%
260000 1
0.1%
2700 1
0.1%
27000 3
0.3%
2750 1
0.1%
27500 4
0.4%
2800 6
0.6%
28000 2
0.2%
280000 1
0.1%
2850 1
0.1%
300 5
0.5%
3000 60
5.6%
30000 10
0.9%
300000 1
0.1%
3100 1
0.1%
31500 2
0.2%
3200 3
0.3%
32000 1
0.1%
32400 3
0.3%
33000 1
0.1%
33800 1
0.1%
340 2
0.2%
3400 8
0.8%
34000 1
0.1%
350 5
0.5%
3500 6
0.6%
35000 4
0.4%
3600 14
1.3%
36000 5
0.5%
36400 3
0.3%
3750 5
0.5%
375000 1
0.1%
380 1
0.1%
3800 2
0.2%
38400 2
0.2%
38500 3
0.3%
390 1
0.1%
3900 2
0.2%
400 6
0.6%
4000 22
2.1%
40000 7
0.7%
4200 1
0.1%
42000 1
0.1%
42500 1
0.1%
4400 3
0.3%
44000 2
0.2%
44800 2
0.2%
450 3
0.3%
4500 15
1.4%
45000 2
0.2%
4800 11
1%
48000 1
0.1%
4900 2
0.2%
50 1
0.1%
500 11
1%
5000 39
3.7%
50000 6
0.6%
50400 1
0.1%
5100 5
0.5%
5200 3
0.3%
53000 1
0.1%
5400 4
0.4%
54000 4
0.4%
5500 5
0.5%
55000 3
0.3%
5600 7
0.7%
5800 1
0.1%
600 5
0.5%
6000 50
4.7%
60000 7
0.7%
63000 1
0.1%
6400 1
0.1%
64000 1
0.1%
640000 1
0.1%
650 1
0.1%
6500 2
0.2%
65000 1
0.1%
6900 1
0.1%
700 13
1.2%
7000 4
0.4%
70000 1
0.1%
720 4
0.4%
7200 5
0.5%
72000 1
0.1%
7250 1
0.1%
73000 1
0.1%
750 18
1.7%
7500 19
1.8%
75000 6
0.6%
79200 1
0.1%
800 13
1.2%
8000 15
1.4%
80000 3
0.3%
8250 1
0.1%
82500 1
0.1%
83200 1
0.1%
840 1
0.1%
8400 2
0.2%
850 3
0.3%
8500 3
0.3%
8800 2
0.2%
88000 1
0.1%
900 8
0.8%
9000 14
1.3%
9200 1
0.1%
9600 4
0.4%
96000 2
0.2%
9800 2
0.2%
98400 1
0.1%
s3q24_2 1
0.1%
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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