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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
Collections
Agricultural Surveys
Metadata
Documentation in PDF DDI/XML JSON
Created on
Sep 10, 2020
Last modified
Nov 08, 2022
Page views
161835
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1545
  • Study Description
  • Data Dictionary
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  • 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 uniform and other required clothing (s2aq23bn)

Data file: sect2_harvestw4

Overview

Valid: 6358
Invalid: 20199
Type: Discrete
Decimal: 0
Start: 477
End: 481
Width: 5
Range: -3000 - 30000
Format: Numeric

Questions and instructions

Categories
Value Category Cases
-3000 1
0%
0 0. FREE/NOTHING 1213
19.1%
1 1
0%
2 1
0%
100 3
0%
150 1
0%
180 1
0%
200 2
0%
300 3
0%
350 4
0.1%
370 1
0%
400 10
0.2%
450 1
0%
500 67
1.1%
550 8
0.1%
560 1
0%
580 1
0%
600 62
1%
620 2
0%
650 13
0.2%
700 58
0.9%
750 26
0.4%
765 1
0%
780 2
0%
800 94
1.5%
840 2
0%
850 9
0.1%
860 1
0%
870 1
0%
900 49
0.8%
950 5
0.1%
1000 332
5.2%
1050 1
0%
1100 27
0.4%
1150 3
0%
1200 257
4%
1250 6
0.1%
1300 72
1.1%
1350 11
0.2%
1400 53
0.8%
1450 3
0%
1500 626
9.8%
1550 4
0.1%
1600 53
0.8%
1650 4
0.1%
1700 59
0.9%
1750 10
0.2%
1800 109
1.7%
1850 8
0.1%
1900 7
0.1%
1950 3
0%
1980 1
0%
2000 604
9.5%
2050 2
0%
2100 23
0.4%
2150 3
0%
2180 1
0%
2200 45
0.7%
2250 1
0%
2300 14
0.2%
2350 6
0.1%
2380 1
0%
2400 31
0.5%
2450 1
0%
2500 595
9.4%
2550 2
0%
2600 15
0.2%
2700 28
0.4%
2750 4
0.1%
2800 35
0.6%
2850 3
0%
2900 6
0.1%
2950 1
0%
3000 446
7%
3050 1
0%
3100 7
0.1%
3200 31
0.5%
3300 2
0%
3350 1
0%
3400 10
0.2%
3500 222
3.5%
3600 13
0.2%
3700 14
0.2%
3750 3
0%
3800 11
0.2%
3850 1
0%
3900 4
0.1%
4000 157
2.5%
4050 1
0%
4100 4
0.1%
4150 1
0%
4200 14
0.2%
4300 2
0%
4400 1
0%
4450 1
0%
4500 117
1.8%
4600 1
0%
4700 4
0.1%
4750 1
0%
4800 6
0.1%
4850 1
0%
4900 3
0%
5000 189
3%
5100 1
0%
5150 1
0%
5200 2
0%
5250 1
0%
5300 2
0%
5400 2
0%
5500 22
0.3%
5600 3
0%
5700 2
0%
5800 4
0.1%
5900 2
0%
6000 73
1.1%
6300 2
0%
6400 2
0%
6500 21
0.3%
6700 1
0%
6900 5
0.1%
7000 38
0.6%
7200 4
0.1%
7400 1
0%
7500 28
0.4%
7600 1
0%
7800 2
0%
8000 18
0.3%
8200 1
0%
8400 2
0%
8500 11
0.2%
8700 1
0%
9000 5
0.1%
9200 1
0%
9500 3
0%
10000 37
0.6%
10500 3
0%
10750 1
0%
10800 1
0%
11000 3
0%
11500 3
0%
12000 11
0.2%
12200 1
0%
12350 1
0%
13000 2
0%
13500 4
0.1%
14000 1
0%
15000 17
0.3%
15500 1
0%
16000 2
0%
17000 1
0%
17500 1
0%
18000 2
0%
18200 1
0%
19000 1
0%
19500 2
0%
20000 1
0%
21000 3
0%
21500 1
0%
23000 2
0%
24000 3
0%
25000 4
0.1%
27000 1
0%
30000 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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