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General Household Survey, Panel 2018-2019

Nigeria, 2018 - 2019
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Reference ID
NGA_2018-2019_GHS-W4_v01_EN_M_v01_A_OCS
Producer(s)
National Bureau of Statistics
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Agricultural Surveys
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Created on
Sep 10, 2020
Last modified
Nov 08, 2022
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How much was [NAME]'s last cash payment for this job (excluding in-kind)? (s3q21a)

Data file: sect3_plantingw4

Overview

Valid: 1422
Invalid: 26185
Type: Discrete
Decimal: 0
Start: 865
End: 871
Width: 7
Range: 0 - 1500000
Format: Numeric

Questions and instructions

Categories
Value Category Cases
0 0. NO CASH PAYMENT 4
0.3%
7 1
0.1%
20 2
0.1%
24 1
0.1%
40 1
0.1%
50 1
0.1%
80 1
0.1%
100 1
0.1%
115 1
0.1%
150 1
0.1%
180 1
0.1%
200 1
0.1%
300 2
0.1%
400 3
0.2%
500 8
0.6%
600 3
0.2%
700 4
0.3%
800 2
0.1%
900 1
0.1%
1000 17
1.2%
1100 1
0.1%
1200 5
0.4%
1250 1
0.1%
1400 1
0.1%
1500 19
1.3%
1600 2
0.1%
1800 1
0.1%
2000 30
2.1%
2500 14
1%
2700 1
0.1%
2800 1
0.1%
2900 1
0.1%
3000 21
1.5%
3500 3
0.2%
4000 12
0.8%
4200 1
0.1%
4500 1
0.1%
5000 40
2.8%
5500 1
0.1%
5600 1
0.1%
6000 17
1.2%
7000 24
1.7%
7450 1
0.1%
7500 3
0.2%
8000 21
1.5%
8700 1
0.1%
9000 7
0.5%
9500 1
0.1%
9700 1
0.1%
10000 64
4.5%
10450 1
0.1%
10691 1
0.1%
11000 2
0.1%
12000 22
1.5%
12309 1
0.1%
12500 1
0.1%
13000 2
0.1%
14000 5
0.4%
15000 68
4.8%
16000 4
0.3%
16700 1
0.1%
17000 5
0.4%
17400 1
0.1%
18000 25
1.8%
18500 1
0.1%
18700 1
0.1%
18800 1
0.1%
19000 2
0.1%
19500 2
0.1%
19800 3
0.2%
20000 58
4.1%
21000 4
0.3%
21250 1
0.1%
21400 1
0.1%
21500 1
0.1%
22000 11
0.8%
22359 1
0.1%
23000 2
0.1%
24000 5
0.4%
24700 2
0.1%
24800 1
0.1%
25000 65
4.6%
25700 1
0.1%
26000 6
0.4%
27000 2
0.1%
28000 8
0.6%
28160 1
0.1%
28350 1
0.1%
29000 1
0.1%
30000 80
5.6%
30200 1
0.1%
31000 2
0.1%
32000 10
0.7%
33000 2
0.1%
33382 1
0.1%
34000 3
0.2%
35000 38
2.7%
35950 1
0.1%
36000 3
0.2%
37000 4
0.3%
38000 5
0.4%
38138 1
0.1%
38600 1
0.1%
38800 1
0.1%
39000 2
0.1%
39458 1
0.1%
40000 43
3%
42000 6
0.4%
42800 1
0.1%
43000 5
0.4%
43198 1
0.1%
44000 2
0.1%
45000 44
3.1%
46000 7
0.5%
47000 1
0.1%
47005 1
0.1%
47200 1
0.1%
48000 9
0.6%
48500 1
0.1%
48600 1
0.1%
48950 1
0.1%
49000 3
0.2%
50000 56
3.9%
50700 1
0.1%
51000 5
0.4%
51200 1
0.1%
52000 8
0.6%
52600 1
0.1%
52982 1
0.1%
53000 3
0.2%
54000 2
0.1%
54780 1
0.1%
55000 15
1.1%
56000 4
0.3%
56800 1
0.1%
57000 5
0.4%
57900 1
0.1%
58000 4
0.3%
59000 1
0.1%
60000 26
1.8%
61000 1
0.1%
62000 2
0.1%
62500 1
0.1%
63000 1
0.1%
63500 1
0.1%
65000 24
1.7%
68000 3
0.2%
68400 1
0.1%
68420 1
0.1%
68520 1
0.1%
69000 1
0.1%
70000 18
1.3%
72000 3
0.2%
72300 1
0.1%
72380 1
0.1%
74000 1
0.1%
75000 10
0.7%
76000 2
0.1%
76150 1
0.1%
76200 1
0.1%
76500 1
0.1%
76840 1
0.1%
77876 1
0.1%
78000 2
0.1%
80000 25
1.8%
82000 2
0.1%
82300 2
0.1%
83300 1
0.1%
84500 1
0.1%
85000 12
0.8%
85960 1
0.1%
86400 1
0.1%
87000 2
0.1%
87300 1
0.1%
88000 2
0.1%
89000 2
0.1%
89740 1
0.1%
90000 8
0.6%
92000 2
0.1%
93000 1
0.1%
95000 2
0.1%
96000 3
0.2%
97000 1
0.1%
98000 1
0.1%
100000 21
1.5%
101840 1
0.1%
102000 3
0.2%
103000 3
0.2%
104000 1
0.1%
105000 3
0.2%
108000 1
0.1%
110000 5
0.4%
112000 1
0.1%
113000 1
0.1%
115000 3
0.2%
116000 1
0.1%
117000 1
0.1%
118000 1
0.1%
120000 22
1.5%
121000 1
0.1%
124000 1
0.1%
125000 2
0.1%
125586 1
0.1%
127000 2
0.1%
130000 7
0.5%
132000 1
0.1%
135000 2
0.1%
137000 1
0.1%
140000 3
0.2%
145000 1
0.1%
150000 22
1.5%
152000 2
0.1%
155000 2
0.1%
156780 1
0.1%
160000 2
0.1%
165000 1
0.1%
167000 1
0.1%
168000 1
0.1%
170000 1
0.1%
173000 1
0.1%
178000 1
0.1%
180000 4
0.3%
189500 1
0.1%
190000 1
0.1%
195000 2
0.1%
197000 1
0.1%
200000 16
1.1%
206000 1
0.1%
220000 1
0.1%
245000 1
0.1%
250000 8
0.6%
261000 1
0.1%
280000 1
0.1%
300000 1
0.1%
315000 1
0.1%
350000 5
0.4%
390000 1
0.1%
437000 1
0.1%
450000 3
0.2%
500000 1
0.1%
720000 1
0.1%
1500000 1
0.1%
Sysmiss 26185
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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