Home / Central Data Catalog / NGA_2018_LSS_V01_M / variable [F72]
central

Living Standards Survey 2018-2019

Nigeria, 2018 - 2019
Get Microdata
Reference ID
NGA_2018_LSS_v01_M
Producer(s)
National Bureau of Statistics (NBS)
Metadata
DDI/XML JSON
Created on
Jan 16, 2021
Last modified
Jan 16, 2021
Page views
37742
Downloads
548

What was the total amount your household repaid for the loan from [LENDER]? (s11q08)

Data file: sect11b_credit

Overview

Valid: 1865
Invalid: 4808
Type: Discrete
Decimal: 0
Start: 167
End: 173
Width: 7
Range: 99 - 2450000
Format: Numeric

Questions and instructions

Categories
Value Category Cases
99 99. DON'T KNOW 0
0%
100 1
0.1%
150 1
0.1%
300 1
0.1%
350 1
0.1%
400 2
0.1%
500 9
0.5%
1000 39
2.1%
1100 1
0.1%
1200 3
0.2%
1500 24
1.3%
1600 1
0.1%
1800 1
0.1%
2000 58
3.1%
2200 1
0.1%
2400 1
0.1%
2500 8
0.4%
2700 1
0.1%
3000 50
2.7%
3150 1
0.1%
3500 3
0.2%
3600 1
0.1%
3850 1
0.1%
4000 27
1.4%
4300 1
0.1%
4500 1
0.1%
4700 1
0.1%
4800 1
0.1%
5000 155
8.3%
5200 1
0.1%
5300 1
0.1%
5500 6
0.3%
6000 31
1.7%
6200 1
0.1%
6500 7
0.4%
6600 1
0.1%
6700 2
0.1%
7000 28
1.5%
7500 4
0.2%
7700 2
0.1%
8000 25
1.3%
8500 3
0.2%
9000 7
0.4%
9200 1
0.1%
10000 207
11.1%
10500 2
0.1%
11000 13
0.7%
11200 1
0.1%
11400 1
0.1%
11500 3
0.2%
12000 27
1.4%
12500 2
0.1%
12600 1
0.1%
13000 9
0.5%
14000 6
0.3%
15000 50
2.7%
15500 1
0.1%
16000 6
0.3%
16500 2
0.1%
17000 8
0.4%
17500 1
0.1%
18000 6
0.3%
18500 1
0.1%
19000 3
0.2%
19500 1
0.1%
20000 127
6.8%
20500 1
0.1%
20800 1
0.1%
21000 1
0.1%
21500 1
0.1%
22000 19
1%
22400 1
0.1%
22500 3
0.2%
22950 1
0.1%
23000 7
0.4%
23500 1
0.1%
24000 7
0.4%
24500 1
0.1%
25000 40
2.1%
25300 1
0.1%
25800 1
0.1%
26000 6
0.3%
27000 5
0.3%
28000 6
0.3%
30000 70
3.8%
30300 1
0.1%
31000 3
0.2%
31500 1
0.1%
32000 5
0.3%
32400 1
0.1%
33000 6
0.3%
34000 3
0.2%
34400 1
0.1%
35000 26
1.4%
36000 5
0.3%
37000 2
0.1%
39000 3
0.2%
40000 30
1.6%
42000 4
0.2%
42350 1
0.1%
43000 1
0.1%
44000 4
0.2%
45000 17
0.9%
46000 1
0.1%
47000 1
0.1%
48000 3
0.2%
49500 1
0.1%
50000 68
3.6%
51000 5
0.3%
52000 6
0.3%
52500 3
0.2%
52900 1
0.1%
53000 3
0.2%
54000 2
0.1%
55000 33
1.8%
55500 1
0.1%
56000 2
0.1%
57000 5
0.3%
57500 4
0.2%
58000 2
0.1%
59000 4
0.2%
60000 34
1.8%
61000 1
0.1%
62000 2
0.1%
62500 1
0.1%
63200 1
0.1%
65000 17
0.9%
66000 1
0.1%
68000 2
0.1%
69000 3
0.2%
70000 15
0.8%
71600 1
0.1%
72000 1
0.1%
72500 1
0.1%
72800 1
0.1%
73000 1
0.1%
75000 8
0.4%
77000 1
0.1%
77040 1
0.1%
77500 1
0.1%
78000 2
0.1%
79000 1
0.1%
80000 9
0.5%
80500 1
0.1%
81000 2
0.1%
81900 1
0.1%
82000 2
0.1%
82500 1
0.1%
83600 1
0.1%
84000 2
0.1%
85000 3
0.2%
85100 1
0.1%
86000 2
0.1%
89875 1
0.1%
90000 10
0.5%
92000 2
0.1%
95000 1
0.1%
96000 4
0.2%
97500 1
0.1%
99000 1
0.1%
100000 32
1.7%
103500 1
0.1%
103600 1
0.1%
105000 6
0.3%
107000 1
0.1%
110000 11
0.6%
112000 2
0.1%
114500 1
0.1%
115000 7
0.4%
118000 2
0.1%
120000 36
1.9%
121000 1
0.1%
125000 2
0.1%
126000 2
0.1%
126500 1
0.1%
127000 1
0.1%
128000 2
0.1%
130000 9
0.5%
132000 2
0.1%
135000 2
0.1%
140000 6
0.3%
143000 1
0.1%
145000 2
0.1%
148000 1
0.1%
150000 16
0.9%
153000 1
0.1%
155000 3
0.2%
156000 1
0.1%
157500 1
0.1%
160000 4
0.2%
165000 7
0.4%
168000 1
0.1%
170000 3
0.2%
175000 2
0.1%
177000 1
0.1%
180000 6
0.3%
190000 2
0.1%
191750 1
0.1%
195500 1
0.1%
200000 10
0.5%
214000 1
0.1%
216000 1
0.1%
220000 10
0.5%
222000 1
0.1%
224000 1
0.1%
225000 1
0.1%
230000 1
0.1%
235000 2
0.1%
240000 4
0.2%
250000 8
0.4%
255000 1
0.1%
260000 2
0.1%
262500 1
0.1%
268000 1
0.1%
300000 4
0.2%
310000 1
0.1%
324000 2
0.1%
325000 1
0.1%
330000 3
0.2%
336000 1
0.1%
340000 1
0.1%
350000 5
0.3%
360000 4
0.2%
367500 1
0.1%
389000 1
0.1%
400000 4
0.2%
406000 1
0.1%
450000 1
0.1%
460000 1
0.1%
464000 1
0.1%
500000 7
0.4%
504000 1
0.1%
530000 1
0.1%
550000 4
0.2%
560000 1
0.1%
588000 1
0.1%
600000 1
0.1%
620000 1
0.1%
650000 1
0.1%
660000 1
0.1%
700000 3
0.2%
750000 2
0.1%
756000 1
0.1%
780000 1
0.1%
800000 2
0.1%
850000 1
0.1%
900000 1
0.1%
950000 1
0.1%
1000000 3
0.2%
1100000 1
0.1%
1200000 1
0.1%
1650000 1
0.1%
1750000 1
0.1%
1785000 1
0.1%
2450000 1
0.1%
Sysmiss 4808
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.
Back to Catalog