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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
Collections
Agricultural Surveys
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Created on
Sep 10, 2020
Last modified
Nov 08, 2022
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1545

Annual expenses for [NAME] on text books (s2aq23bo)

Data file: sect2_harvestw4

Overview

Valid: 6358
Invalid: 20199
Type: Discrete
Decimal: 0
Start: 482
End: 487
Width: 6
Range: 0 - 150000
Format: Numeric

Questions and instructions

Categories
Value Category Cases
0 0. FREE/NOTHING 1183
18.6%
2 2
0%
50 1
0%
60 3
0%
90 1
0%
100 21
0.3%
120 3
0%
150 16
0.3%
200 51
0.8%
210 3
0%
240 3
0%
250 23
0.4%
280 1
0%
300 69
1.1%
350 14
0.2%
360 2
0%
400 36
0.6%
420 1
0%
450 16
0.3%
500 166
2.6%
540 1
0%
550 11
0.2%
560 1
0%
580 1
0%
600 88
1.4%
640 1
0%
650 13
0.2%
675 1
0%
680 1
0%
700 58
0.9%
720 2
0%
750 18
0.3%
800 79
1.2%
810 1
0%
840 1
0%
850 9
0.1%
900 27
0.4%
950 5
0.1%
1000 281
4.4%
1050 3
0%
1060 1
0%
1100 20
0.3%
1140 1
0%
1150 3
0%
1200 146
2.3%
1250 8
0.1%
1300 27
0.4%
1350 3
0%
1400 13
0.2%
1450 7
0.1%
1500 338
5.3%
1600 18
0.3%
1650 4
0.1%
1700 22
0.3%
1750 5
0.1%
1760 1
0%
1790 1
0%
1800 69
1.1%
1850 2
0%
1870 1
0%
1900 12
0.2%
1920 3
0%
1950 4
0.1%
2000 299
4.7%
2100 17
0.3%
2150 1
0%
2200 23
0.4%
2250 2
0%
2300 17
0.3%
2350 1
0%
2400 28
0.4%
2500 231
3.6%
2560 1
0%
2600 16
0.3%
2700 14
0.2%
2750 3
0%
2800 36
0.6%
2850 1
0%
2900 2
0%
3000 313
4.9%
3050 1
0%
3100 3
0%
3200 32
0.5%
3300 4
0.1%
3400 10
0.2%
3450 3
0%
3500 187
2.9%
3550 3
0%
3600 22
0.3%
3650 1
0%
3700 6
0.1%
3750 4
0.1%
3800 27
0.4%
3900 4
0.1%
3950 1
0%
4000 179
2.8%
4050 1
0%
4100 9
0.1%
4200 21
0.3%
4250 1
0%
4300 5
0.1%
4400 6
0.1%
4420 1
0%
4500 127
2%
4550 2
0%
4600 6
0.1%
4700 8
0.1%
4800 16
0.3%
4900 8
0.1%
5000 304
4.8%
5100 2
0%
5150 1
0%
5200 22
0.3%
5350 1
0%
5400 5
0.1%
5450 2
0%
5500 52
0.8%
5550 1
0%
5600 9
0.1%
5700 2
0%
5800 14
0.2%
5900 3
0%
6000 152
2.4%
6200 8
0.1%
6250 1
0%
6280 1
0%
6300 1
0%
6400 1
0%
6500 70
1.1%
6600 1
0%
6700 3
0%
6750 3
0%
6800 7
0.1%
6850 1
0%
6900 2
0%
6950 1
0%
7000 94
1.5%
7100 1
0%
7150 1
0%
7200 5
0.1%
7300 3
0%
7400 1
0%
7500 56
0.9%
7600 1
0%
7700 1
0%
7800 4
0.1%
7850 1
0%
7900 2
0%
8000 89
1.4%
8200 5
0.1%
8250 1
0%
8400 1
0%
8500 27
0.4%
8600 1
0%
8700 3
0%
8750 1
0%
8800 2
0%
9000 41
0.6%
9200 1
0%
9350 1
0%
9500 8
0.1%
9600 1
0%
9700 2
0%
9750 1
0%
9800 2
0%
9950 1
0%
10000 159
2.5%
10500 7
0.1%
10600 2
0%
11000 17
0.3%
11200 1
0%
11500 11
0.2%
11700 1
0%
12000 51
0.8%
12400 1
0%
12500 9
0.1%
12600 2
0%
12800 5
0.1%
12850 1
0%
13000 16
0.3%
13200 1
0%
13350 2
0%
13400 2
0%
13500 7
0.1%
13750 1
0%
13900 1
0%
14000 14
0.2%
14300 2
0%
14400 1
0%
14500 3
0%
14900 1
0%
15000 99
1.6%
15200 1
0%
15400 1
0%
15500 1
0%
15700 2
0%
15800 1
0%
16000 9
0.1%
16500 3
0%
17000 12
0.2%
17450 1
0%
17500 4
0.1%
17800 1
0%
18000 32
0.5%
18500 7
0.1%
18700 1
0%
19000 2
0%
19500 1
0%
19700 1
0%
20000 64
1%
21000 6
0.1%
22000 10
0.2%
22500 3
0%
22600 1
0%
24000 7
0.1%
24650 1
0%
25000 26
0.4%
26000 7
0.1%
27000 3
0%
28000 8
0.1%
30000 16
0.3%
31000 1
0%
32000 1
0%
33000 1
0%
35000 7
0.1%
36000 3
0%
37000 1
0%
39000 1
0%
40000 9
0.1%
45000 8
0.1%
46000 1
0%
48000 1
0%
50000 7
0.1%
52000 1
0%
58000 1
0%
60000 3
0%
62500 1
0%
65000 1
0%
85000 1
0%
120000 1
0%
150000 2
0%
Sysmiss 20199
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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