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    Home / Food and Agriculture Microdata Catalogue / AGRICULTURAL-SURVEYS / RWA_2013-2014_EICV-W4-CS_V01_EN_M_V01_A_OCS / variable [F14]
agricultural-surveys

Integrated Household Living Conditions Survey - Wave 4, Cross-Sectional Sample, 2013-2014.

Rwanda, 2013 - 2014
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Reference ID
RWA_2013-2014_EICV-W4-CS_v01_EN_M_v01_A_OCS
Producer(s)
National Institute of Statistics Rwanda (NISR)
Collections
Agricultural Surveys
Metadata
Documentation in PDF DDI/XML JSON
Created on
Mar 07, 2021
Last modified
Mar 07, 2021
Page views
33685
Downloads
1660
  • Study Description
  • Data Dictionary
  • Downloads
  • Get Microdata
  • Data files
  • cs_s0_s5_household
  • cs_s1_s2_s3_s4_s6a_s6e_s6f_person
  • cs_s5e_access
    to services
  • cs_s6b_employement_6c_salaried_s6d_business
  • cs_s7a1_livestock
  • cs_s7a2_livestock
  • cs_s7a3_livestock
  • cs_s7a4_livestock
  • cs_s7b1_land_agriculture
  • cs_s7b2_land_agriculture
  • cs_s7c_parcels
  • cs_s7d_large_crop
  • cs_s7e_small_crop
  • cs_s7f_income_agriculture
  • cs_s7g_expenditure_agriculture
  • cs_s7h_transformation_agriculture
  • cs_s8a1_expenditure
  • cs_s8a2_expenditure
  • cs_s8a3_expenditure
  • cs_s8b_expenditure
  • cs_s8c_farming
  • cs_s9a_transfers_out
  • cs_s9b_transfers_in
  • cs_s9c_vup
  • cs_s9c1_vup
  • cs_s9d_other_income
  • cs_s9e_other_expenditure
  • cs_s10a1_credits
  • cs_s10a2_credits
  • cs_s10b_goods
  • cs_s10c_savings
  • current_main_activity6
  • EICV4_poverty_file
  • EICV3_Povertyfile_Jan2014

Amount received from sales last 12 months (s7fq3)

Data file: cs_s7f_income_agriculture

Overview

Valid: 4277
Invalid: 168751
Type: Discrete
Decimal: 0
Width: 10
Range: 0 - 99999999
Format: Numeric

Questions and instructions

Categories
Value Category Cases
0 6
0.1%
50 1
0%
100 16
0.4%
150 3
0.1%
200 23
0.5%
250 4
0.1%
300 30
0.7%
320 1
0%
350 1
0%
400 25
0.6%
420 1
0%
450 1
0%
500 82
1.9%
550 1
0%
600 46
1.1%
650 1
0%
700 30
0.7%
750 2
0%
800 38
0.9%
850 1
0%
900 12
0.3%
950 1
0%
1000 213
5%
1100 2
0%
1150 1
0%
1200 45
1.1%
1250 1
0%
1300 12
0.3%
1400 15
0.4%
1500 132
3.1%
1600 14
0.3%
1700 10
0.2%
1750 3
0.1%
1800 16
0.4%
1840 1
0%
1900 1
0%
1980 1
0%
2000 305
7.1%
2100 4
0.1%
2200 6
0.1%
2250 1
0%
2300 3
0.1%
2400 19
0.4%
2500 69
1.6%
2600 2
0%
2700 3
0.1%
2750 1
0%
2800 8
0.2%
2900 2
0%
3000 303
7.1%
3100 1
0%
3200 9
0.2%
3250 1
0%
3400 1
0%
3500 43
1%
3600 11
0.3%
3700 2
0%
3750 1
0%
3800 3
0.1%
3900 2
0%
4000 192
4.5%
4200 5
0.1%
4300 1
0%
4400 4
0.1%
4500 37
0.9%
4600 2
0%
4700 3
0.1%
4750 1
0%
4800 10
0.2%
5000 312
7.3%
5250 1
0%
5300 1
0%
5400 1
0%
5450 1
0%
5500 16
0.4%
5600 3
0.1%
5700 2
0%
5800 1
0%
6000 225
5.3%
6200 2
0%
6400 2
0%
6500 9
0.2%
6750 1
0%
7000 91
2.1%
7200 5
0.1%
7400 1
0%
7500 26
0.6%
8000 116
2.7%
8100 2
0%
8200 1
0%
8300 1
0%
8400 3
0.1%
8500 7
0.2%
8700 1
0%
8800 2
0%
9000 48
1.1%
9500 4
0.1%
9600 1
0%
9700 2
0%
9800 4
0.1%
10000 232
5.4%
10100 1
0%
10200 1
0%
10500 3
0.1%
10600 1
0%
11000 15
0.4%
11200 1
0%
11500 6
0.1%
11600 1
0%
11700 1
0%
12000 124
2.9%
12200 1
0%
12300 1
0%
12500 14
0.3%
12700 1
0%
12800 1
0%
13000 20
0.5%
13200 2
0%
13500 9
0.2%
14000 24
0.6%
14400 1
0%
14500 1
0%
14700 2
0%
14800 1
0%
15000 117
2.7%
15500 1
0%
15600 2
0%
15900 1
0%
16000 26
0.6%
16100 1
0%
16200 1
0%
16500 3
0.1%
17000 16
0.4%
17500 7
0.2%
17600 1
0%
18000 32
0.7%
18500 3
0.1%
19000 4
0.1%
19500 3
0.1%
19700 1
0%
20000 135
3.2%
21000 12
0.3%
21600 1
0%
22000 2
0%
22600 1
0%
23000 2
0%
23500 2
0%
24000 21
0.5%
24500 1
0%
25000 40
0.9%
25800 1
0%
26000 8
0.2%
26500 1
0%
26600 1
0%
27000 5
0.1%
27500 1
0%
27700 1
0%
28000 15
0.4%
28800 1
0%
29000 1
0%
29500 1
0%
30000 98
2.3%
31000 3
0.1%
31500 1
0%
32000 3
0.1%
32400 1
0%
32500 1
0%
32800 1
0%
33000 2
0%
33600 2
0%
34000 3
0.1%
35000 17
0.4%
36000 9
0.2%
37000 6
0.1%
37500 1
0%
38400 1
0%
39000 4
0.1%
40000 53
1.2%
42000 5
0.1%
43000 1
0%
43500 1
0%
44000 1
0%
44400 1
0%
45000 17
0.4%
46000 3
0.1%
46500 1
0%
47000 1
0%
47500 1
0%
48000 9
0.2%
49000 1
0%
50000 56
1.3%
50400 2
0%
51000 1
0%
52000 3
0.1%
54000 1
0%
54600 1
0%
55000 3
0.1%
55200 1
0%
56000 1
0%
59000 3
0.1%
60000 33
0.8%
62000 6
0.1%
63000 1
0%
64000 1
0%
64500 1
0%
64800 1
0%
65000 2
0%
68000 2
0%
70000 22
0.5%
72000 5
0.1%
75000 8
0.2%
76000 1
0%
79920 1
0%
80000 18
0.4%
82500 1
0%
83000 1
0%
86000 1
0%
88000 1
0%
90000 7
0.2%
91200 1
0%
92000 1
0%
92500 1
0%
93000 1
0%
95000 1
0%
100000 27
0.6%
105000 2
0%
110000 2
0%
111000 1
0%
112000 1
0%
114000 1
0%
118400 1
0%
120000 13
0.3%
123000 1
0%
124000 2
0%
125000 1
0%
128000 1
0%
130000 1
0%
138000 1
0%
140000 4
0.1%
145000 1
0%
150000 15
0.4%
152000 2
0%
160000 4
0.1%
162000 1
0%
163000 1
0%
165000 3
0.1%
168000 1
0%
170000 1
0%
175000 1
0%
180000 3
0.1%
181000 1
0%
182500 1
0%
189000 1
0%
190000 1
0%
196000 1
0%
200000 11
0.3%
210000 1
0%
224000 1
0%
240000 3
0.1%
250000 2
0%
257000 1
0%
260000 1
0%
267300 1
0%
270000 2
0%
275000 1
0%
280000 1
0%
282200 1
0%
300000 7
0.2%
320000 2
0%
325000 1
0%
335000 1
0%
336000 2
0%
338000 1
0%
350000 4
0.1%
360000 2
0%
368000 1
0%
388800 1
0%
390000 1
0%
400000 3
0.1%
450000 1
0%
500000 1
0%
550000 1
0%
635000 1
0%
800000 1
0%
864000 1
0%
900000 1
0%
1000000 2
0%
1600000 1
0%
1800000 3
0.1%
3600000 1
0%
99999999 Missing 0
0%
Sysmiss 168751
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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