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    Home / Food and Agriculture Microdata Catalogue / AGRICULTURAL-SURVEYS / NGA_2018-2019_GHS-W4_V01_EN_M_V01_A_OCS / variable [F45]
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
Metadata
Documentation in PDF DDI/XML JSON
Created on
Sep 10, 2020
Last modified
Nov 08, 2022
Page views
162139
Downloads
1545
  • Study Description
  • Data Dictionary
  • Downloads
  • Get Microdata
  • Data files
  • secta_plantingw4
  • sect1_plantingw4
  • sect3_plantingw4
  • sect3b_plantingw4
  • sect3q38_plantingw4
  • sect4a1_plantingw4
  • sect4a2_plantingw4
  • sect4b_plantingw4
  • sect4c1_plantingw4
  • sect4c2_plantingw4
  • sect4c3_plantingw4
  • sect5_plantingw4
  • sect7a_plantingw4
  • sect7b_plantingw4
  • sect8a_plantingw4
  • sect8b_plantingw4
  • sect8c_plantingw4
  • sect9_plantingw4
  • sect11_plantingw4
  • aux_plantingw4
  • sect11a_plantingw4
  • sect11b1_plantingw4
  • sect11b1q10_plantingw4
  • sect11c1a_plantingw4
  • sect11c1b_plantingw4
  • sect11e1_plantingw4
  • sect11e2_plantingw4
  • sect11f_plantingw4
  • sect11i_plantingw4
  • sect11j_plantingw4
  • sect11k1_plantingw4
  • sect11k2_plantingw4
  • sect11k3_plantingw4
  • sect11l1_plantingw4
  • sect11l2_plantingw4
  • sectc_plantingw4
  • sectc1_plantingw4
  • sectc2_plantingw4
  • sectc3a_plantingw4
  • sectc3b_plantingw4
  • sectc4a_plantingw4
  • sectc4b_plantingw4
  • sectc4c_plantingw4
  • secta_harvestw4
  • sect2_harvestw4
  • sect3a_harvestw4
  • sect3b_harvestw4
  • sect4a_harvestw4
  • sect6_harvestw4
  • sect9a_harvestw4
  • sect9b_harvestw4
  • sect9c_harvestw4
  • sect9d_harvestw4
  • sect10a_harvestw4
  • sect10b_harvestw4
  • sect10c_harvestw4
  • sect11a_harvestw4
  • sect11b_harvestw4
  • sect11c_harvestw4
  • sect11d_harvestw4
  • sect12_harvestw4
  • sect13_harvestw4
  • sect14a_harvestw4
  • sect14b_harvestw4
  • sect15a_harvestw4
  • aux_harvestw4
  • sectaa_harvestw4
  • secta2a_harvestw4
  • secta2b_harvestw4
  • secta3i_harvestw4
  • secta3ii_harvestw4
  • secta3iii_harvestw4
  • secta4_harvestw4
  • secta5b_harvestw4
  • secta9a_harvestw4
  • secta11c2_harvestw4
  • secta11c3_harvestw4
  • secta11c3q12_harvestw4
  • sectaphl1_harvestw4
  • sectaphl2_harvestw4
  • sectc_harvestw4
  • sectc1_harvestw4
  • sectc2_harvestw4
  • sectc3_harvestw4
  • sectc4_harvestw4
  • sectc5_harvestw4
  • sectc6_harvestw4
  • sectc7_harvestw4
  • sectc8_harvestw4
  • sectc9a_harvestw4
  • sectc9b_harvestw4
  • sect11a1_plantingw4
  • sect1_harvestw4
  • secta1_harvestw4

Annual expenses for [NAME] on school fees and registration (s2aq23bg)

Data file: sect2_harvestw4

Overview

Valid: 6358
Invalid: 20199
Type: Discrete
Decimal: 0
Start: 433
End: 438
Width: 6
Range: 0 - 750000
Format: Numeric

Questions and instructions

Categories
Value Category Cases
0 0. FREE/NOTHING 2008
31.6%
40 1
0%
100 8
0.1%
150 1
0%
200 24
0.4%
250 1
0%
300 16
0.3%
350 2
0%
400 11
0.2%
450 9
0.1%
460 1
0%
500 52
0.8%
550 1
0%
560 1
0%
600 24
0.4%
700 52
0.8%
750 8
0.1%
800 14
0.2%
850 2
0%
860 1
0%
870 1
0%
900 19
0.3%
960 1
0%
1000 53
0.8%
1050 2
0%
1100 5
0.1%
1150 1
0%
1200 31
0.5%
1250 2
0%
1300 1
0%
1350 8
0.1%
1400 4
0.1%
1450 1
0%
1500 174
2.7%
1600 5
0.1%
1650 4
0.1%
1680 5
0.1%
1700 5
0.1%
1750 1
0%
1800 18
0.3%
2000 72
1.1%
2100 37
0.6%
2150 1
0%
2175 1
0%
2200 2
0%
2250 8
0.1%
2300 6
0.1%
2350 1
0%
2400 17
0.3%
2450 1
0%
2500 51
0.8%
2550 1
0%
2600 2
0%
2700 11
0.2%
2750 1
0%
2800 9
0.1%
3000 202
3.2%
3100 2
0%
3150 4
0.1%
3200 4
0.1%
3300 8
0.1%
3400 1
0%
3450 1
0%
3500 44
0.7%
3540 1
0%
3600 19
0.3%
3700 3
0%
3800 3
0%
3850 3
0%
3900 2
0%
4000 45
0.7%
4050 3
0%
4100 3
0%
4150 1
0%
4200 3
0%
4300 3
0%
4400 1
0%
4500 188
3%
4600 3
0%
4700 2
0%
4750 2
0%
4800 15
0.2%
4950 1
0%
5000 99
1.6%
5100 11
0.2%
5200 3
0%
5250 4
0.1%
5300 2
0%
5350 1
0%
5400 10
0.2%
5500 26
0.4%
5550 1
0%
5600 2
0%
5700 4
0.1%
5800 6
0.1%
6000 173
2.7%
6100 1
0%
6200 1
0%
6300 4
0.1%
6330 1
0%
6350 1
0%
6450 1
0%
6500 18
0.3%
6600 6
0.1%
6650 1
0%
6700 2
0%
6800 3
0%
6900 10
0.2%
6950 2
0%
7000 38
0.6%
7050 1
0%
7200 8
0.1%
7350 1
0%
7500 159
2.5%
7600 1
0%
7740 1
0%
7750 1
0%
7800 10
0.2%
8000 32
0.5%
8050 2
0%
8100 11
0.2%
8150 1
0%
8250 3
0%
8265 2
0%
8300 1
0%
8400 2
0%
8500 8
0.1%
8600 1
0%
8700 2
0%
9000 141
2.2%
9200 1
0%
9300 3
0%
9500 13
0.2%
9600 8
0.1%
9800 1
0%
9900 1
0%
9960 1
0%
10000 49
0.8%
10050 1
0%
10150 5
0.1%
10250 1
0%
10500 106
1.7%
10650 4
0.1%
10700 1
0%
10800 5
0.1%
10900 1
0%
11000 8
0.1%
11100 8
0.1%
11200 1
0%
11400 2
0%
11500 11
0.2%
11700 1
0%
11850 1
0%
11900 1
0%
11990 1
0%
12000 115
1.8%
12150 1
0%
12300 2
0%
12400 1
0%
12450 1
0%
12500 8
0.1%
12550 1
0%
12600 7
0.1%
12660 1
0%
12750 3
0%
12900 1
0%
12950 1
0%
13000 14
0.2%
13300 1
0%
13450 1
0%
13500 83
1.3%
13800 2
0%
14000 9
0.1%
14100 2
0%
14250 2
0%
14300 1
0%
14400 2
0%
14500 5
0.1%
15000 218
3.4%
15200 1
0%
15300 4
0.1%
15400 1
0%
15450 1
0%
15500 7
0.1%
15600 5
0.1%
15750 2
0%
15800 2
0%
15900 1
0%
16000 6
0.1%
16500 34
0.5%
16600 1
0%
16800 1
0%
17000 7
0.1%
17100 2
0%
17150 1
0%
17200 1
0%
17500 19
0.3%
17700 4
0.1%
17850 1
0%
18000 99
1.6%
18400 1
0%
18500 1
0%
18900 1
0%
18990 1
0%
19000 2
0%
19200 1
0%
19500 31
0.5%
19800 3
0%
19900 1
0%
20000 34
0.5%
20100 3
0%
20500 1
0%
21000 77
1.2%
21001 1
0%
21200 1
0%
21600 1
0%
22000 3
0%
22500 21
0.3%
22800 1
0%
23000 2
0%
23100 2
0%
23500 1
0%
24000 55
0.9%
24500 2
0%
24600 2
0%
24800 1
0%
25000 30
0.5%
25200 2
0%
25300 1
0%
25400 1
0%
25500 16
0.3%
26000 6
0.1%
26100 1
0%
26350 1
0%
27000 24
0.4%
27600 2
0%
28000 6
0.1%
28050 2
0%
28500 6
0.1%
28750 1
0%
28900 3
0%
29100 1
0%
29500 2
0%
29700 1
0%
30000 83
1.3%
30150 1
0%
30300 2
0%
30500 2
0%
30600 2
0%
31500 11
0.2%
32000 5
0.1%
32100 1
0%
32500 1
0%
32600 1
0%
32650 1
0%
33000 14
0.2%
33300 1
0%
34000 3
0%
34200 2
0%
34500 4
0.1%
34800 1
0%
35000 23
0.4%
35500 1
0%
36000 32
0.5%
36500 2
0%
37000 3
0%
37200 2
0%
37500 4
0.1%
38000 5
0.1%
38400 2
0%
38500 1
0%
38700 1
0%
39000 14
0.2%
39900 1
0%
40000 19
0.3%
40300 1
0%
40500 6
0.1%
41000 3
0%
42000 10
0.2%
42400 1
0%
42500 1
0%
42520 1
0%
43000 5
0.1%
43500 2
0%
43800 1
0%
44000 1
0%
45000 85
1.3%
45300 1
0%
45500 2
0%
45600 2
0%
46500 6
0.1%
46800 1
0%
47000 3
0%
47400 1
0%
47700 1
0%
48000 15
0.2%
48600 2
0%
48800 2
0%
49000 3
0%
49050 1
0%
49500 5
0.1%
50000 20
0.3%
50700 1
0%
51000 11
0.2%
51100 1
0%
52000 3
0%
52500 5
0.1%
54000 14
0.2%
55000 15
0.2%
55300 1
0%
55500 5
0.1%
56000 4
0.1%
56500 1
0%
57000 5
0.1%
58000 3
0%
58500 3
0%
59000 1
0%
60000 50
0.8%
60500 1
0%
60750 2
0%
60900 1
0%
62000 1
0%
63000 6
0.1%
64000 2
0%
64500 4
0.1%
65000 10
0.2%
65900 1
0%
66000 6
0.1%
66750 1
0%
67000 1
0%
67500 2
0%
68000 2
0%
68500 1
0%
69000 9
0.1%
69750 1
0%
70000 14
0.2%
72000 4
0.1%
73000 1
0%
73500 1
0%
74000 1
0%
75000 36
0.6%
76500 1
0%
77500 1
0%
78000 6
0.1%
80000 9
0.1%
80100 1
0%
81000 3
0%
82000 1
0%
82500 1
0%
83000 1
0%
84000 5
0.1%
84500 1
0%
85000 4
0.1%
87000 7
0.1%
90000 28
0.4%
92000 2
0%
93000 1
0%
95000 2
0%
96000 5
0.1%
98000 2
0%
99000 1
0%
100000 8
0.1%
102000 1
0%
103000 1
0%
104000 1
0%
105000 10
0.2%
106000 2
0%
108000 1
0%
109500 1
0%
110000 2
0%
111000 1
0%
112000 1
0%
112500 1
0%
115000 2
0%
116000 2
0%
117000 1
0%
118000 2
0%
119400 1
0%
120000 19
0.3%
120500 1
0%
124900 1
0%
125000 1
0%
126000 5
0.1%
127000 1
0%
128000 1
0%
129000 1
0%
130000 3
0%
135000 7
0.1%
138000 1
0%
143000 2
0%
146000 1
0%
147000 1
0%
148500 1
0%
150000 16
0.3%
155000 1
0%
156000 1
0%
160000 3
0%
165000 2
0%
167000 1
0%
170000 3
0%
174000 1
0%
174900 1
0%
180000 5
0.1%
190000 2
0%
200000 3
0%
201000 1
0%
210000 4
0.1%
220000 1
0%
225000 5
0.1%
240000 4
0.1%
243000 1
0%
247500 1
0%
256500 1
0%
260000 2
0%
278000 1
0%
300000 1
0%
320000 1
0%
330000 1
0%
350000 4
0.1%
378000 1
0%
405000 1
0%
418000 1
0%
495000 1
0%
585000 1
0%
675000 1
0%
750000 3
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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