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    Home / Central Data Catalog / LSMS / NGA_2018_LSS_V01_M / variable [F78]
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
393056
Downloads
67280
  • 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

During past 30 days, how much did you pay for water? (s14q39)

Data file: sect14_housing

Overview

Valid: 22121
Invalid: 0
Type: Discrete
Decimal: 0
Start: 1047
End: 1051
Width: 5
Range: 0 - 25000
Format: Numeric

Questions and instructions

Categories
Value Category Cases
0 0. NOTHING/FREE 16193
73.2%
40 1
0%
60 1
0%
100 3
0%
110 1
0%
120 26
0.1%
130 2
0%
140 2
0%
150 49
0.2%
160 7
0%
170 2
0%
180 5
0%
200 273
1.2%
210 1
0%
220 3
0%
230 3
0%
240 14
0.1%
250 60
0.3%
260 1
0%
270 3
0%
280 14
0.1%
300 286
1.3%
310 1
0%
320 15
0.1%
330 4
0%
340 3
0%
350 50
0.2%
360 8
0%
370 5
0%
380 1
0%
400 324
1.5%
410 1
0%
420 12
0.1%
430 3
0%
440 4
0%
450 51
0.2%
470 4
0%
480 33
0.1%
500 474
2.1%
510 2
0%
520 6
0%
530 3
0%
540 1
0%
550 9
0%
560 12
0.1%
580 1
0%
590 1
0%
600 322
1.5%
620 4
0%
630 1
0%
640 9
0%
650 30
0.1%
660 1
0%
680 2
0%
700 167
0.8%
720 7
0%
740 2
0%
750 42
0.2%
760 1
0%
800 262
1.2%
820 2
0%
840 12
0.1%
850 20
0.1%
860 3
0%
900 107
0.5%
930 2
0%
940 1
0%
950 5
0%
960 12
0.1%
1000 534
2.4%
1020 1
0%
1050 6
0%
1080 1
0%
1100 11
0%
1120 8
0%
1140 1
0%
1150 2
0%
1160 1
0%
1200 308
1.4%
1240 3
0%
1250 5
0%
1260 1
0%
1280 1
0%
1300 29
0.1%
1350 4
0%
1400 72
0.3%
1440 5
0%
1450 3
0%
1500 548
2.5%
1550 1
0%
1560 1
0%
1600 54
0.2%
1650 1
0%
1680 9
0%
1700 24
0.1%
1800 102
0.5%
1860 1
0%
1900 6
0%
1920 3
0%
2000 317
1.4%
2040 1
0%
2050 2
0%
2070 1
0%
2083 1
0%
2100 25
0.1%
2160 1
0%
2200 12
0.1%
2240 4
0%
2250 9
0%
2300 2
0%
2350 1
0%
2400 46
0.2%
2500 108
0.5%
2600 22
0.1%
2650 1
0%
2700 14
0.1%
2740 1
0%
2800 43
0.2%
2900 4
0%
3000 330
1.5%
3100 3
0%
3150 2
0%
3200 19
0.1%
3300 3
0%
3400 3
0%
3450 1
0%
3500 58
0.3%
3600 20
0.1%
3640 1
0%
3800 2
0%
4000 84
0.4%
4100 1
0%
4200 8
0%
4250 1
0%
4300 1
0%
4400 1
0%
4500 48
0.2%
4550 1
0%
4600 1
0%
4800 6
0%
5000 28
0.1%
5040 2
0%
5100 1
0%
5400 6
0%
5500 4
0%
5600 12
0.1%
6000 61
0.3%
6200 3
0%
6250 1
0%
6300 1
0%
6400 2
0%
6500 3
0%
6750 1
0%
7000 8
0%
7200 1
0%
7400 1
0%
7500 1
0%
8000 8
0%
8400 2
0%
9000 13
0.1%
9600 1
0%
10000 4
0%
10280 1
0%
10500 1
0%
11200 1
0%
12000 3
0%
15000 2
0%
20000 1
0%
25000 1
0%
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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