Home / Food and Agriculture Microdata Catalogue / AGRICULTURAL-SURVEYS / NGA_2018_LSS_V01_EN_M_V01_A_OCS / variable [F67]
agricultural-surveys

Living Standards Survey, 2018-2019

Nigeria, 2018 - 2019
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Reference ID
NGA_2018_LSS_v01_EN_M_v01_A_OCS
Producer(s)
National Bureau of Statistics (NBS)
Collections
Agricultural Surveys
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Created on
Feb 01, 2021
Last modified
Nov 08, 2022
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How much was spent on TRANSPORT during the last month of operation? (s09q31c)

Data file: sect9b_enterprise

Overview

Valid: 18343
Invalid: 0
Type: Discrete
Decimal: 0
Start: 727
End: 733
Width: 7
Range: 0 - 3000000
Format: Numeric

Questions and instructions

Categories
Value Category Cases
0 0. NONE 5685
31%
50 7
0%
80 6
0%
100 157
0.9%
120 1
0%
140 11
0.1%
150 37
0.2%
160 2
0%
180 1
0%
200 514
2.8%
240 2
0%
250 28
0.2%
300 424
2.3%
320 1
0%
350 14
0.1%
360 2
0%
370 1
0%
400 563
3.1%
450 8
0%
480 1
0%
500 979
5.3%
550 5
0%
560 3
0%
600 455
2.5%
650 4
0%
670 1
0%
680 1
0%
700 133
0.7%
750 21
0.1%
800 452
2.5%
850 4
0%
880 1
0%
900 43
0.2%
950 2
0%
960 1
0%
1000 1394
7.6%
1040 1
0%
1050 4
0%
1100 18
0.1%
1150 2
0%
1200 477
2.6%
1250 4
0%
1300 63
0.3%
1350 10
0.1%
1400 93
0.5%
1440 1
0%
1450 1
0%
1500 797
4.3%
1560 1
0%
1600 106
0.6%
1700 10
0.1%
1750 1
0%
1800 89
0.5%
1850 1
0%
1900 8
0%
1950 4
0%
2000 1327
7.2%
2050 1
0%
2100 19
0.1%
2150 1
0%
2200 27
0.1%
2300 17
0.1%
2350 1
0%
2400 103
0.6%
2500 368
2%
2600 27
0.1%
2700 7
0%
2750 1
0%
2800 42
0.2%
2850 1
0%
2900 2
0%
3000 825
4.5%
3100 1
0%
3150 2
0%
3160 1
0%
3200 32
0.2%
3300 3
0%
3360 1
0%
3400 16
0.1%
3500 170
0.9%
3600 15
0.1%
3700 4
0%
3750 3
0%
3800 14
0.1%
3900 1
0%
4000 364
2%
4100 2
0%
4200 12
0.1%
4250 1
0%
4300 1
0%
4400 2
0%
4420 1
0%
4500 70
0.4%
4600 5
0%
4680 1
0%
4700 4
0%
4800 27
0.1%
5000 647
3.5%
5100 1
0%
5200 11
0.1%
5300 1
0%
5400 1
0%
5500 20
0.1%
5600 17
0.1%
5700 4
0%
5800 2
0%
5850 1
0%
6000 221
1.2%
6200 1
0%
6300 3
0%
6400 4
0%
6500 14
0.1%
6600 2
0%
6700 2
0%
6800 2
0%
7000 66
0.4%
7200 4
0%
7300 1
0%
7400 1
0%
7500 18
0.1%
7600 1
0%
7680 1
0%
7800 1
0%
8000 130
0.7%
8200 1
0%
8400 6
0%
8500 10
0.1%
8600 1
0%
8800 1
0%
9000 25
0.1%
9500 2
0%
9600 4
0%
9700 1
0%
9800 1
0%
10000 253
1.4%
10200 3
0%
10400 2
0%
10500 2
0%
10800 2
0%
11000 8
0%
11200 1
0%
11500 1
0%
11800 1
0%
12000 81
0.4%
12400 1
0%
12500 6
0%
12600 1
0%
12800 2
0%
13000 5
0%
13200 1
0%
13500 2
0%
14000 11
0.1%
14500 2
0%
14700 1
0%
15000 120
0.7%
15600 1
0%
16000 10
0.1%
16700 1
0%
16800 3
0%
17000 5
0%
17300 1
0%
17500 1
0%
17800 1
0%
18000 12
0.1%
18200 1
0%
18500 1
0%
20000 115
0.6%
21000 4
0%
21600 2
0%
22000 3
0%
23000 2
0%
24000 10
0.1%
24800 1
0%
25000 36
0.2%
25200 1
0%
25670 1
0%
26000 2
0%
26400 1
0%
27000 1
0%
28000 4
0%
28850 1
0%
30000 43
0.2%
31200 1
0%
31500 1
0%
32000 1
0%
32500 1
0%
35000 16
0.1%
36000 3
0%
36800 1
0%
37200 1
0%
38000 1
0%
39000 2
0%
40000 14
0.1%
42000 2
0%
45000 7
0%
47500 1
0%
48000 2
0%
49500 1
0%
50000 34
0.2%
52000 1
0%
53000 1
0%
55000 3
0%
60000 9
0%
60400 1
0%
65000 5
0%
66000 1
0%
70000 5
0%
75000 2
0%
78000 1
0%
80000 6
0%
83000 1
0%
88000 1
0%
93000 1
0%
95000 1
0%
100000 2
0%
110000 3
0%
120000 3
0%
124000 1
0%
140000 1
0%
150000 4
0%
178000 1
0%
180000 1
0%
196000 2
0%
200000 6
0%
250000 1
0%
300000 3
0%
320000 1
0%
350000 2
0%
400000 1
0%
500000 1
0%
600000 1
0%
650000 1
0%
750000 1
0%
950000 1
0%
1500000 1
0%
3000000 1
0%
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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