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agricultural-surveys

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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Total cost of loan to be repaid (s4cq11)

Data file: sect4c2_plantingw4

Overview

Valid: 654
Invalid: 190
Type: Discrete
Decimal: 0
Start: 312
End: 319
Width: 8
Range: 99 - 4500000
Format: Numeric

Questions and instructions

Categories
Value Category Cases
99 99. DON'T KNOW 0
0%
500 1
0.2%
1000 4
0.6%
1500 1
0.2%
2000 4
0.6%
2300 1
0.2%
3000 6
0.9%
3300 1
0.2%
3500 2
0.3%
3600 2
0.3%
3900 1
0.2%
4000 2
0.3%
4400 1
0.2%
5000 22
3.4%
5500 3
0.5%
6000 14
2.1%
6500 3
0.5%
6600 2
0.3%
7000 4
0.6%
7100 1
0.2%
7250 1
0.2%
7500 1
0.2%
7700 1
0.2%
8000 1
0.2%
9000 2
0.3%
9200 1
0.2%
10000 54
8.3%
10500 3
0.5%
11000 7
1.1%
11500 2
0.3%
12000 7
1.1%
12400 1
0.2%
12500 2
0.3%
13000 2
0.3%
13200 1
0.2%
14000 2
0.3%
15000 15
2.3%
15500 1
0.2%
16000 2
0.3%
16500 1
0.2%
17250 1
0.2%
18000 1
0.2%
20000 27
4.1%
21000 1
0.2%
21200 1
0.2%
22000 7
1.1%
22500 2
0.3%
23000 1
0.2%
23500 1
0.2%
24000 2
0.3%
25000 10
1.5%
26000 1
0.2%
27000 2
0.3%
27500 1
0.2%
28000 1
0.2%
28800 1
0.2%
30000 18
2.8%
30600 1
0.2%
31000 1
0.2%
32000 4
0.6%
33000 4
0.6%
33600 1
0.2%
34000 1
0.2%
34500 1
0.2%
34580 1
0.2%
35000 1
0.2%
36000 2
0.3%
37000 1
0.2%
38000 1
0.2%
38500 1
0.2%
39000 1
0.2%
40000 13
2%
40250 1
0.2%
42000 2
0.3%
42400 1
0.2%
42500 1
0.2%
44000 4
0.6%
44100 1
0.2%
45000 3
0.5%
46000 3
0.5%
47000 1
0.2%
48000 3
0.5%
49000 2
0.3%
50000 14
2.1%
50500 2
0.3%
52000 1
0.2%
52200 1
0.2%
52500 3
0.5%
52507 1
0.2%
53000 2
0.3%
55000 19
2.9%
56000 1
0.2%
57000 1
0.2%
57500 4
0.6%
58000 3
0.5%
59850 1
0.2%
60000 23
3.5%
62000 1
0.2%
62200 1
0.2%
65000 5
0.8%
66000 3
0.5%
67000 1
0.2%
67200 1
0.2%
68000 1
0.2%
69000 2
0.3%
70000 4
0.6%
74750 1
0.2%
75000 7
1.1%
77000 2
0.3%
78030 1
0.2%
79000 1
0.2%
80000 6
0.9%
80300 1
0.2%
80500 1
0.2%
82000 3
0.5%
84000 2
0.3%
85000 1
0.2%
88000 1
0.2%
90000 6
0.9%
92000 1
0.2%
92500 1
0.2%
94000 1
0.2%
94500 1
0.2%
95000 1
0.2%
96000 2
0.3%
100000 14
2.1%
100150 1
0.2%
100800 1
0.2%
102000 1
0.2%
103000 1
0.2%
105000 7
1.1%
108000 1
0.2%
109000 1
0.2%
110000 8
1.2%
112000 1
0.2%
115000 9
1.4%
118000 2
0.3%
120000 9
1.4%
120200 1
0.2%
120500 1
0.2%
121200 1
0.2%
123000 1
0.2%
124200 1
0.2%
125000 5
0.8%
129612 1
0.2%
130000 1
0.2%
132000 2
0.3%
135000 3
0.5%
140000 3
0.5%
144000 1
0.2%
145000 1
0.2%
150000 9
1.4%
152000 1
0.2%
155000 1
0.2%
157500 1
0.2%
160000 3
0.5%
165000 5
0.8%
166000 1
0.2%
178000 1
0.2%
180000 4
0.6%
182000 1
0.2%
188500 1
0.2%
195000 2
0.3%
200000 5
0.8%
210000 1
0.2%
212000 1
0.2%
220000 9
1.4%
230000 1
0.2%
240000 5
0.8%
246000 1
0.2%
249000 1
0.2%
250000 5
0.8%
260000 1
0.2%
265000 1
0.2%
275000 2
0.3%
300000 7
1.1%
305000 1
0.2%
310000 1
0.2%
315000 1
0.2%
330000 8
1.2%
385000 2
0.3%
423000 1
0.2%
425000 1
0.2%
436000 1
0.2%
440000 2
0.3%
450000 2
0.3%
462000 1
0.2%
500000 3
0.5%
520000 1
0.2%
521000 1
0.2%
550000 3
0.5%
600000 3
0.5%
620000 1
0.2%
627500 1
0.2%
650000 1
0.2%
750000 1
0.2%
757000 1
0.2%
800000 1
0.2%
812000 1
0.2%
840000 1
0.2%
920000 1
0.2%
1000000 1
0.2%
1040000 1
0.2%
1100000 2
0.3%
1120000 1
0.2%
1200000 1
0.2%
1335000 1
0.2%
1550000 1
0.2%
1750000 1
0.2%
2000000 1
0.2%
2150000 1
0.2%
2200000 1
0.2%
2400000 1
0.2%
4500000 1
0.2%
10000001 .A 1
Sysmiss 189
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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