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    Home / Central Data Catalog / LSMS / NGA_2018_LSS_V01_M / variable [F52]
lsms

Living Standards Survey 2018-2019

Nigeria, 2018 - 2019
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Reference ID
NGA_2018_LSS_v01_M
DOI
https://doi.org/10.48529/8gbe-z155
Producer(s)
National Bureau of Statistics (NBS)
Collection(s)
Living Standards Measurement Study (LSMS) Fragility, Conflict and Violence
Metadata
Documentation in PDF DDI/XML JSON
Created on
Jan 12, 2021
Last modified
Jan 12, 2021
Page views
392823
Downloads
67274
  • Study Description
  • Data Description
  • Documentation
  • 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

Tuition/School fees (s02q21a)

Data file: sect2_education

Overview

Valid: 8894
Invalid: 107426
Type: Discrete
Decimal: 0
Start: 890
End: 895
Width: 6
Range: 0 - 532000
Format: Numeric

Questions and instructions

Categories
Value Category Cases
0 0. FREE/NOTHING 4244
47.7%
60 1
0%
100 6
0.1%
150 2
0%
200 69
0.8%
240 3
0%
250 2
0%
300 24
0.3%
350 2
0%
400 13
0.1%
450 8
0.1%
500 119
1.3%
540 1
0%
550 6
0.1%
560 7
0.1%
600 32
0.4%
650 5
0.1%
700 33
0.4%
750 5
0.1%
800 22
0.2%
850 7
0.1%
900 16
0.2%
950 9
0.1%
1000 247
2.8%
1050 12
0.1%
1100 20
0.2%
1150 6
0.1%
1200 52
0.6%
1250 5
0.1%
1300 25
0.3%
1350 8
0.1%
1400 8
0.1%
1450 8
0.1%
1500 211
2.4%
1520 1
0%
1550 3
0%
1600 12
0.1%
1650 3
0%
1700 18
0.2%
1750 2
0%
1800 19
0.2%
1850 3
0%
1900 2
0%
1950 10
0.1%
2000 209
2.3%
2050 2
0%
2100 29
0.3%
2167 1
0%
2200 27
0.3%
2250 5
0.1%
2300 8
0.1%
2350 1
0%
2400 11
0.1%
2500 201
2.3%
2550 5
0.1%
2600 13
0.1%
2700 5
0.1%
2800 13
0.1%
2850 2
0%
2900 8
0.1%
2950 2
0%
3000 306
3.4%
3050 2
0%
3100 4
0%
3120 1
0%
3150 1
0%
3200 9
0.1%
3250 1
0%
3300 9
0.1%
3400 7
0.1%
3450 1
0%
3470 1
0%
3500 176
2%
3600 10
0.1%
3700 5
0.1%
3750 2
0%
3800 11
0.1%
3900 4
0%
4000 200
2.2%
4050 1
0%
4100 1
0%
4200 9
0.1%
4250 1
0%
4300 4
0%
4500 124
1.4%
4550 2
0%
4600 6
0.1%
4700 10
0.1%
4800 1
0%
4850 2
0%
4900 8
0.1%
4950 2
0%
5000 291
3.3%
5050 3
0%
5060 1
0%
5100 4
0%
5200 8
0.1%
5250 1
0%
5300 1
0%
5350 2
0%
5400 6
0.1%
5500 64
0.7%
5550 3
0%
5600 7
0.1%
5700 4
0%
5750 1
0%
5800 5
0.1%
5850 1
0%
5900 3
0%
6000 153
1.7%
6100 5
0.1%
6200 6
0.1%
6250 3
0%
6300 2
0%
6400 4
0%
6500 55
0.6%
6600 2
0%
6700 6
0.1%
6750 1
0%
6800 2
0%
6900 1
0%
7000 150
1.7%
7080 1
0%
7200 9
0.1%
7300 3
0%
7400 1
0%
7450 1
0%
7500 66
0.7%
7550 3
0%
7600 1
0%
7650 1
0%
7700 3
0%
7950 2
0%
8000 102
1.1%
8500 30
0.3%
8600 5
0.1%
8700 5
0.1%
8750 5
0.1%
9000 55
0.6%
9200 1
0%
9300 1
0%
9400 1
0%
9450 2
0%
9500 26
0.3%
9600 2
0%
9700 1
0%
9750 2
0%
9900 1
0%
10000 123
1.4%
10100 1
0%
10200 2
0%
10300 2
0%
10500 38
0.4%
10600 3
0%
10700 2
0%
11000 34
0.4%
11100 3
0%
11400 2
0%
11500 12
0.1%
11550 1
0%
11600 1
0%
11700 1
0%
12000 84
0.9%
12100 2
0%
12300 1
0%
12400 2
0%
12500 15
0.2%
12850 1
0%
12900 2
0%
13000 30
0.3%
13300 1
0%
13500 24
0.3%
13550 1
0%
13750 1
0%
14000 26
0.3%
14200 2
0%
14250 1
0%
14400 2
0%
14500 3
0%
15000 97
1.1%
15200 1
0%
15400 1
0%
15500 10
0.1%
15580 1
0%
15900 1
0%
16000 15
0.2%
16500 14
0.2%
17000 12
0.1%
17100 1
0%
17500 4
0%
17700 1
0%
17850 4
0%
18000 29
0.3%
18500 2
0%
18700 1
0%
19000 8
0.1%
19500 4
0%
20000 30
0.3%
20400 2
0%
20500 1
0%
20550 2
0%
21000 12
0.1%
21500 1
0%
21900 1
0%
22000 3
0%
22500 5
0.1%
22800 1
0%
23000 7
0.1%
24000 11
0.1%
24500 1
0%
25000 27
0.3%
25200 1
0%
25250 1
0%
25300 1
0%
25500 3
0%
25800 1
0%
26000 8
0.1%
26500 1
0%
27000 3
0%
27300 1
0%
27500 2
0%
27750 1
0%
28000 6
0.1%
28950 1
0%
29000 1
0%
29900 1
0%
30000 25
0.3%
31000 2
0%
31500 2
0%
32000 9
0.1%
33000 2
0%
33600 2
0%
34000 3
0%
35000 26
0.3%
35700 2
0%
36000 9
0.1%
36500 1
0%
37000 2
0%
37500 1
0%
37600 1
0%
37800 1
0%
38000 5
0.1%
39000 1
0%
39500 1
0%
40000 10
0.1%
40500 1
0%
41000 1
0%
42000 3
0%
42500 2
0%
43000 1
0%
43500 1
0%
44000 1
0%
45000 11
0.1%
46500 2
0%
47000 1
0%
47500 1
0%
48000 4
0%
50000 8
0.1%
51000 2
0%
52000 2
0%
52500 1
0%
53150 1
0%
54000 1
0%
55000 8
0.1%
56000 3
0%
58000 1
0%
59000 2
0%
60000 13
0.1%
61000 1
0%
61500 1
0%
62000 2
0%
63000 2
0%
64000 1
0%
65000 6
0.1%
66000 1
0%
67500 3
0%
68000 3
0%
70000 1
0%
75000 3
0%
78000 1
0%
78750 1
0%
80000 6
0.1%
81000 1
0%
81500 1
0%
83100 1
0%
84000 1
0%
84150 1
0%
85000 1
0%
99000 1
0%
100000 3
0%
102000 1
0%
120000 1
0%
130000 1
0%
138000 1
0%
140000 1
0%
150000 4
0%
216000 1
0%
315000 1
0%
532000 1
0%
Sysmiss 107426
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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