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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 [F26]
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
33634
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

Income support received in last 4 weeks (amount) (s9dq2)

Data file: cs_s9d_other_income

Overview

Valid: 22744
Invalid: 265636
Type: Discrete
Decimal: 0
Start: 81
End: 87
Width: 7
Range: 0 - 9999999
Format: Numeric

Questions and instructions

Categories
Value Category Cases
0 8122
35.7%
1 7
0%
2 22
0.1%
4 1
0%
5 1
0%
7 1
0%
100 1
0%
150 2
0%
200 6
0%
250 1
0%
330 1
0%
400 3
0%
500 7
0%
600 5
0%
700 2
0%
750 2
0%
770 1
0%
800 11
0%
850 4
0%
900 4
0%
1000 259
1.1%
1050 2
0%
1070 1
0%
1100 1
0%
1200 49
0.2%
1300 4
0%
1400 6
0%
1416 1
0%
1500 6980
30.7%
1550 48
0.2%
1583 1
0%
1600 12
0.1%
1700 178
0.8%
1750 1
0%
1800 26
0.1%
1900 2
0%
1950 1
0%
2000 2149
9.4%
2040 1
0%
2050 453
2%
2100 101
0.4%
2150 1
0%
2200 4
0%
2250 1
0%
2300 61
0.3%
2350 650
2.9%
2360 1
0%
2400 29
0.1%
2450 9
0%
2500 1483
6.5%
2530 4
0%
2550 2
0%
2600 22
0.1%
2650 17
0.1%
2700 5
0%
2750 6
0%
2800 3
0%
2900 88
0.4%
2950 1
0%
3000 264
1.2%
3150 2
0%
3200 3
0%
3250 2
0%
3300 4
0%
3350 10
0%
3400 4
0%
3500 49
0.2%
3550 2
0%
3600 2
0%
3700 1
0%
3850 2
0%
3900 5
0%
3950 1
0%
4000 44
0.2%
4050 1
0%
4150 1
0%
4200 3
0%
4250 1
0%
4350 10
0%
4500 85
0.4%
4600 1
0%
4700 1
0%
4750 3
0%
4800 1
0%
5000 126
0.6%
5100 5
0%
5200 3
0%
5300 2
0%
5350 4
0%
5400 3
0%
5500 18
0.1%
5600 4
0%
5700 1
0%
5800 1
0%
5940 1
0%
5950 1
0%
6000 75
0.3%
6100 3
0%
6200 1
0%
6300 2
0%
6350 1
0%
6500 9
0%
6600 5
0%
6850 1
0%
6880 1
0%
6900 3
0%
7000 21
0.1%
7150 1
0%
7200 2
0%
7300 1
0%
7400 1
0%
7500 68
0.3%
7600 2
0%
7700 2
0%
7760 1
0%
7800 1
0%
8000 44
0.2%
8100 4
0%
8215 1
0%
8300 4
0%
8500 2
0%
8594 1
0%
8600 1
0%
8650 1
0%
9000 39
0.2%
9100 2
0%
9200 1
0%
9320 1
0%
9500 5
0%
9600 2
0%
9825 1
0%
10000 70
0.3%
10300 1
0%
10500 18
0.1%
10600 1
0%
10800 1
0%
11000 4
0%
11100 4
0%
11300 3
0%
11500 6
0%
11588 1
0%
11800 1
0%
12000 26
0.1%
12150 1
0%
12200 2
0%
12350 1
0%
12500 3
0%
12600 1
0%
12800 1
0%
13000 8
0%
13300 1
0%
13500 10
0%
14000 4
0%
14068 1
0%
14400 2
0%
14500 3
0%
14540 1
0%
14900 1
0%
15000 64
0.3%
15400 1
0%
15500 3
0%
15600 1
0%
15800 2
0%
16000 6
0%
16300 2
0%
16500 3
0%
17000 9
0%
17100 1
0%
17500 10
0%
17600 1
0%
17870 1
0%
18000 12
0.1%
18250 2
0%
18280 1
0%
18600 1
0%
18800 1
0%
19000 2
0%
19800 1
0%
20000 46
0.2%
20300 1
0%
21000 6
0%
21405 1
0%
21500 2
0%
21600 1
0%
22000 9
0%
22200 1
0%
22440 1
0%
22500 3
0%
23000 4
0%
23300 1
0%
23400 1
0%
23500 1
0%
23900 1
0%
24000 8
0%
25000 45
0.2%
25500 1
0%
25600 1
0%
25800 1
0%
26000 5
0%
26400 1
0%
26500 2
0%
26800 1
0%
27000 4
0%
27500 1
0%
28000 3
0%
28260 1
0%
28300 1
0%
29000 2
0%
30000 38
0.2%
31000 1
0%
31500 4
0%
32000 5
0%
32600 1
0%
34000 3
0%
35000 6
0%
35550 1
0%
35750 1
0%
36000 3
0%
36500 1
0%
37000 3
0%
37500 1
0%
38000 1
0%
38400 1
0%
38500 1
0%
38800 1
0%
39240 1
0%
40000 27
0.1%
40500 1
0%
41000 3
0%
43000 2
0%
45000 10
0%
46000 3
0%
46200 1
0%
47000 3
0%
48000 1
0%
49500 1
0%
50000 35
0.2%
51000 1
0%
51500 1
0%
52000 3
0%
52630 1
0%
52700 1
0%
53000 2
0%
54000 1
0%
55000 5
0%
59500 1
0%
60000 17
0.1%
61160 1
0%
61650 1
0%
62000 2
0%
63500 1
0%
64000 1
0%
65000 4
0%
67000 1
0%
69000 1
0%
70000 16
0.1%
71500 1
0%
72000 2
0%
73300 1
0%
75000 3
0%
77000 1
0%
78000 1
0%
79000 1
0%
80000 12
0.1%
81000 1
0%
85000 2
0%
87000 1
0%
89600 1
0%
90000 9
0%
91000 1
0%
92000 1
0%
92500 1
0%
94000 1
0%
95000 1
0%
100000 31
0.1%
102000 1
0%
105000 4
0%
110000 5
0%
115000 1
0%
115200 1
0%
120000 21
0.1%
125000 1
0%
130000 4
0%
140000 3
0%
145000 2
0%
147500 1
0%
150000 16
0.1%
152000 1
0%
160000 1
0%
170000 1
0%
170260 1
0%
172000 1
0%
176500 1
0%
180000 5
0%
186300 1
0%
190000 2
0%
195500 1
0%
200000 13
0.1%
201700 1
0%
210000 1
0%
220000 1
0%
230000 2
0%
250000 8
0%
260000 2
0%
270000 2
0%
280000 1
0%
300000 5
0%
325000 1
0%
330000 1
0%
350000 1
0%
369564 1
0%
375000 1
0%
400000 4
0%
450000 2
0%
456000 1
0%
498125 1
0%
500000 5
0%
555000 1
0%
600000 1
0%
650000 1
0%
700000 2
0%
701560 1
0%
800000 1
0%
840000 1
0%
845000 1
0%
1000000 2
0%
1200000 1
0%
1500000 2
0%
2000000 1
0%
2300000 1
0%
4500000 1
0%
5000000 1
0%
9999999 Missing 0
0%
Sysmiss 265636
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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