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    Home / Food and Agriculture Microdata Catalogue / AGRICULTURAL-SURVEYS / NGA_2018_LSS_V01_EN_M_V01_A_OCS / variable [F53]
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
Metadata
Documentation in PDF DDI/XML JSON
Created on
Feb 01, 2021
Last modified
Nov 08, 2022
Page views
54837
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  • Study Description
  • Data Dictionary
  • Downloads
  • Get Microdata
  • Data files
  • secta_cover
  • sect_aux
  • sect1_roster
  • sect2_education
  • sect3_health
  • sect4a1_labour
  • sect4a2_labour
  • sect5_remittances
  • sect6a_meals_outside
  • sect6b_food_cons
  • sect6c_aggregate_food_1
  • sect6c_aggregate_food_2
  • sect6c_aggregate_food_3
  • sect07_7day
  • sect07_12month
  • sect07_30day
  • sect8_food_security
  • sect9a_enterprise
  • sect9b_enterprise
  • sect9c_enterprise
  • sect9d_enterprise
  • sect10_assets
  • sect11a_credit
  • sect11b_credit
  • sect11c_credit
  • sect12a_beta
  • sect12a_safety
  • sect12b_safety
  • sect13_income
  • sect14_housing
  • sect16_shocks
  • sect17_crime_security
  • sect18_agriculture
  • sect19a_land
  • sect19b_land
  • totcons
  • sectc_cover
  • sectc1_resp
  • sectc2_infra
  • sectc3_org
  • sectc4a_land
  • sectc4a_prices
  • sectc4b_credit
  • sectc5_changes
  • sectc6_conflict
  • sectc8_foodprices
  • sect_result

How much did the household pay for [NAME] to stay in the hospital or health cent (s03q21)

Data file: sect3_health

Overview

Valid: 6914
Invalid: 109406
Type: Discrete
Decimal: 0
Start: 545
End: 551
Width: 7
Range: 0 - 2500000
Format: Numeric

Questions and instructions

Categories
Value Category Cases
0 0. NOTHING 758
11%
100 5
0.1%
150 2
0%
200 22
0.3%
250 4
0.1%
300 48
0.7%
360 1
0%
400 28
0.4%
420 1
0%
450 5
0.1%
500 180
2.6%
550 1
0%
600 80
1.2%
650 1
0%
700 27
0.4%
750 6
0.1%
800 35
0.5%
900 42
0.6%
950 3
0%
1000 394
5.7%
1100 3
0%
1150 1
0%
1200 61
0.9%
1250 1
0%
1300 9
0.1%
1350 1
0%
1400 32
0.5%
1450 1
0%
1500 342
4.9%
1600 12
0.2%
1650 1
0%
1700 7
0.1%
1750 3
0%
1800 32
0.5%
1850 1
0%
1900 4
0.1%
2000 377
5.5%
2100 22
0.3%
2200 10
0.1%
2250 1
0%
2300 8
0.1%
2400 8
0.1%
2450 1
0%
2500 241
3.5%
2600 7
0.1%
2700 9
0.1%
2750 2
0%
2800 14
0.2%
2850 2
0%
2900 2
0%
3000 352
5.1%
3050 1
0%
3200 10
0.1%
3300 3
0%
3380 1
0%
3400 8
0.1%
3500 210
3%
3600 14
0.2%
3700 5
0.1%
3750 2
0%
3800 12
0.2%
3850 2
0%
3900 1
0%
4000 219
3.2%
4200 11
0.2%
4250 2
0%
4300 2
0%
4400 1
0%
4450 1
0%
4500 116
1.7%
4600 9
0.1%
4650 1
0%
4700 1
0%
4800 7
0.1%
4900 4
0.1%
5000 336
4.9%
5200 6
0.1%
5250 1
0%
5300 3
0%
5400 1
0%
5450 1
0%
5500 34
0.5%
5600 5
0.1%
5640 1
0%
5700 1
0%
5750 1
0%
5800 4
0.1%
5900 1
0%
6000 209
3%
6100 2
0%
6200 2
0%
6300 5
0.1%
6400 3
0%
6500 57
0.8%
6600 1
0%
6700 7
0.1%
6760 1
0%
6800 4
0.1%
6900 1
0%
7000 205
3%
7350 1
0%
7500 65
0.9%
7600 1
0%
7800 5
0.1%
7850 1
0%
8000 144
2.1%
8200 3
0%
8400 4
0.1%
8500 40
0.6%
8600 3
0%
8650 1
0%
8700 2
0%
8750 1
0%
9000 59
0.9%
9300 1
0%
9400 1
0%
9500 21
0.3%
9550 1
0%
9600 2
0%
9780 1
0%
9800 2
0%
9900 2
0%
10000 232
3.4%
10300 1
0%
10500 35
0.5%
10600 1
0%
10800 2
0%
11000 30
0.4%
11300 1
0%
11500 9
0.1%
11600 2
0%
11850 1
0%
11860 1
0%
12000 114
1.6%
12200 2
0%
12300 3
0%
12360 1
0%
12400 1
0%
12500 28
0.4%
12590 1
0%
12600 2
0%
12700 1
0%
12800 2
0%
13000 23
0.3%
13500 3
0%
13570 1
0%
13600 3
0%
13800 2
0%
14000 60
0.9%
14300 1
0%
14500 7
0.1%
14700 1
0%
14800 1
0%
15000 200
2.9%
15110 1
0%
15200 3
0%
15300 2
0%
15350 1
0%
15400 1
0%
15500 7
0.1%
15600 4
0.1%
15670 2
0%
15800 3
0%
15900 1
0%
16000 20
0.3%
16440 1
0%
16500 3
0%
16800 1
0%
17000 23
0.3%
17500 6
0.1%
17850 2
0%
18000 36
0.5%
18500 9
0.1%
18700 1
0%
19000 5
0.1%
19200 1
0%
19740 1
0%
19800 1
0%
20000 109
1.6%
20500 1
0%
21000 22
0.3%
21700 1
0%
22000 17
0.2%
22500 3
0%
22600 1
0%
22670 1
0%
22750 1
0%
23000 13
0.2%
23200 1
0%
23500 3
0%
23800 1
0%
24000 15
0.2%
24500 2
0%
25000 100
1.4%
25500 4
0.1%
25700 1
0%
26000 11
0.2%
26500 1
0%
27000 10
0.1%
27500 2
0%
27800 1
0%
28000 23
0.3%
28500 3
0%
28650 1
0%
29000 3
0%
30000 82
1.2%
30500 1
0%
31000 2
0%
31500 1
0%
32000 15
0.2%
32300 1
0%
32500 2
0%
33000 7
0.1%
34000 2
0%
34700 1
0%
35000 48
0.7%
35500 1
0%
35700 1
0%
36000 11
0.2%
36200 1
0%
37000 3
0%
37500 1
0%
38000 6
0.1%
38600 1
0%
39000 1
0%
40000 35
0.5%
40500 1
0%
41000 1
0%
42000 9
0.1%
43000 3
0%
44000 1
0%
45000 23
0.3%
46000 2
0%
47000 4
0.1%
47500 1
0%
48000 11
0.2%
48650 1
0%
49000 1
0%
50000 41
0.6%
50100 1
0%
52000 4
0.1%
52500 1
0%
54000 2
0%
55000 7
0.1%
56000 3
0%
57000 2
0%
57500 1
0%
58000 3
0%
58500 1
0%
60000 16
0.2%
62000 1
0%
62500 1
0%
63000 3
0%
65000 10
0.1%
67000 1
0%
68000 2
0%
68900 1
0%
70000 13
0.2%
71000 1
0%
72000 2
0%
72500 1
0%
74000 2
0%
74500 1
0%
75000 7
0.1%
78000 2
0%
79000 1
0%
80000 20
0.3%
82000 2
0%
84500 1
0%
85000 6
0.1%
86000 2
0%
86400 1
0%
90000 5
0.1%
95000 4
0.1%
100000 15
0.2%
105000 1
0%
110000 2
0%
120000 11
0.2%
125000 1
0%
126000 1
0%
127000 2
0%
129000 1
0%
130000 2
0%
135000 1
0%
137000 1
0%
140000 2
0%
145000 4
0.1%
150000 14
0.2%
155000 1
0%
160000 2
0%
170000 1
0%
172000 1
0%
175000 1
0%
180000 2
0%
190000 2
0%
200000 6
0.1%
210000 1
0%
215000 1
0%
220000 1
0%
250000 3
0%
292000 1
0%
300000 2
0%
350000 2
0%
400000 1
0%
450000 2
0%
480000 1
0%
500000 2
0%
505000 1
0%
550000 1
0%
740000 1
0%
1000000 1
0%
1050000 1
0%
2500000 1
0%
Sysmiss 109406
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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