Home / Central Data Catalog / NGA_2018_GHSP-W4_V03_M / variable [F46]
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General Household Survey, Panel 2018-2019
Wave 4

Nigeria, 2018 - 2019
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Reference ID
NGA_2018_GHSP-W4_v03_M
Producer(s)
National Bureau of Statistics (NBS)
Metadata
Documentation in PDF DDI/XML JSON
Created on
Nov 20, 2024
Last modified
Nov 21, 2024
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How much was [NAME]'s last cash payment for this job? (s3q21a)

Data file: sect3a_harvestw4

Overview

Valid: 1524
Invalid: 25033
Type: Discrete
Decimal: 0
Start: 795
End: 800
Width: 6
Range: 0 - 900000
Format: Numeric

Questions and instructions

Categories
Value Category Cases
0 0. NO CASH PAYMENT 4
0.3%
60 1
0.1%
300 2
0.1%
400 3
0.2%
500 3
0.2%
700 2
0.1%
950 1
0.1%
1000 17
1.1%
1100 1
0.1%
1200 4
0.3%
1500 21
1.4%
1625 1
0.1%
1750 1
0.1%
1800 1
0.1%
2000 32
2.1%
2500 15
1%
3000 15
1%
3500 4
0.3%
4000 6
0.4%
4500 2
0.1%
5000 27
1.8%
5500 1
0.1%
6000 12
0.8%
6500 2
0.1%
6850 1
0.1%
7000 18
1.2%
7200 3
0.2%
7500 3
0.2%
8000 22
1.4%
8500 1
0.1%
9000 4
0.3%
9160 1
0.1%
9500 2
0.1%
10000 72
4.7%
10500 1
0.1%
10850 1
0.1%
11000 6
0.4%
12000 19
1.2%
12600 1
0.1%
12800 1
0.1%
13000 6
0.4%
14000 4
0.3%
15000 85
5.6%
16000 3
0.2%
16500 1
0.1%
16900 1
0.1%
17000 5
0.3%
17500 1
0.1%
17820 1
0.1%
18000 31
2%
18500 5
0.3%
18545 1
0.1%
18600 1
0.1%
19000 3
0.2%
19500 1
0.1%
19800 5
0.3%
20000 77
5.1%
20500 1
0.1%
21000 5
0.3%
21600 1
0.1%
21850 1
0.1%
22000 7
0.5%
22295 1
0.1%
23000 8
0.5%
23400 1
0.1%
23500 1
0.1%
24000 7
0.5%
24300 1
0.1%
25000 71
4.7%
25450 1
0.1%
26000 5
0.3%
26500 1
0.1%
27000 6
0.4%
28000 8
0.5%
28400 1
0.1%
29000 2
0.1%
29250 1
0.1%
29500 1
0.1%
29658 1
0.1%
30000 100
6.6%
30500 1
0.1%
31000 3
0.2%
31500 1
0.1%
32000 13
0.9%
32147 1
0.1%
32500 1
0.1%
33000 2
0.1%
34000 4
0.3%
35000 42
2.8%
35800 1
0.1%
36000 6
0.4%
36700 1
0.1%
37000 3
0.2%
37500 2
0.1%
37750 1
0.1%
38000 10
0.7%
38300 1
0.1%
38400 1
0.1%
38500 2
0.1%
38700 1
0.1%
38720 1
0.1%
39000 1
0.1%
39200 1
0.1%
40000 49
3.2%
40500 1
0.1%
41000 3
0.2%
42000 12
0.8%
42500 2
0.1%
43000 5
0.3%
43850 1
0.1%
44000 1
0.1%
45000 51
3.3%
45250 1
0.1%
45500 1
0.1%
45862 1
0.1%
46000 2
0.1%
47000 4
0.3%
47200 1
0.1%
48000 12
0.8%
48230 1
0.1%
48500 1
0.1%
48560 1
0.1%
49000 3
0.2%
50000 50
3.3%
51000 3
0.2%
52000 8
0.5%
52400 1
0.1%
52920 1
0.1%
53000 4
0.3%
53200 1
0.1%
54000 4
0.3%
54500 1
0.1%
55000 14
0.9%
55137 1
0.1%
55700 1
0.1%
56000 4
0.3%
56500 1
0.1%
57000 4
0.3%
57500 1
0.1%
58000 8
0.5%
58500 1
0.1%
58763 1
0.1%
59000 1
0.1%
59200 1
0.1%
60000 27
1.8%
61000 1
0.1%
61400 1
0.1%
62000 5
0.3%
63000 1
0.1%
64000 1
0.1%
65000 19
1.2%
66000 3
0.2%
67000 4
0.3%
68000 6
0.4%
68500 1
0.1%
68700 1
0.1%
69000 1
0.1%
69605 1
0.1%
70000 10
0.7%
71000 1
0.1%
72000 6
0.4%
73000 2
0.1%
75000 16
1%
75200 1
0.1%
75850 1
0.1%
76000 1
0.1%
77000 1
0.1%
78000 7
0.5%
78525 1
0.1%
79000 1
0.1%
80000 13
0.9%
80064 1
0.1%
82700 1
0.1%
83000 2
0.1%
83500 1
0.1%
83692 1
0.1%
84000 2
0.1%
84500 1
0.1%
85000 10
0.7%
89000 2
0.1%
89450 1
0.1%
89560 1
0.1%
90000 7
0.5%
93000 2
0.1%
94000 1
0.1%
95000 3
0.2%
95500 1
0.1%
96000 3
0.2%
98000 2
0.1%
100000 17
1.1%
101000 1
0.1%
102000 2
0.1%
104000 1
0.1%
105000 1
0.1%
105800 1
0.1%
108450 1
0.1%
109000 2
0.1%
110000 5
0.3%
112000 1
0.1%
114000 1
0.1%
115000 2
0.1%
115500 1
0.1%
119000 1
0.1%
120000 23
1.5%
124000 1
0.1%
125000 3
0.2%
125500 1
0.1%
128500 1
0.1%
130000 5
0.3%
131600 1
0.1%
132000 1
0.1%
134700 1
0.1%
135000 2
0.1%
137000 1
0.1%
140000 3
0.2%
144000 1
0.1%
145000 3
0.2%
148000 1
0.1%
150000 18
1.2%
155000 1
0.1%
158000 1
0.1%
160000 2
0.1%
163000 1
0.1%
164000 1
0.1%
165000 2
0.1%
168000 1
0.1%
170000 4
0.3%
173000 1
0.1%
178500 1
0.1%
180000 7
0.5%
185000 2
0.1%
190000 1
0.1%
192000 2
0.1%
195000 1
0.1%
197000 1
0.1%
197650 1
0.1%
200000 14
0.9%
210000 1
0.1%
225000 1
0.1%
230000 4
0.3%
244000 1
0.1%
248000 1
0.1%
250000 8
0.5%
250580 1
0.1%
270000 1
0.1%
277000 1
0.1%
280000 2
0.1%
285000 2
0.1%
300000 2
0.1%
314277 1
0.1%
350000 4
0.3%
356000 1
0.1%
380000 1
0.1%
400000 1
0.1%
450000 1
0.1%
480000 1
0.1%
500000 1
0.1%
680000 1
0.1%
750000 2
0.1%
820000 1
0.1%
900000 1
0.1%
Sysmiss 25033
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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