Nigeria - Nigeria Living Standards Survey 2018-2019
Reference ID | NGA-NBS-NLSS-2018-v01 |
Year | 2018 - 2019 |
Country | Nigeria |
Producer(s) | National Bureau of Statistics (NBS) - Federal Government of Nigeria |
Sponsor(s) | Federal Government of Nigeria - FGN - Funded the study The World Bank - WB - Funded the study Department for International Development - DFID - Funded the study National Social Safety-Net Coordinating Office - NASSCO - Funded the study |
Metadata | Documentation in PDF Download DDI Download RDF |
Created on | May 27, 2021 |
Last modified | May 28, 2021 |
Page views | 1029740 |
Downloads | 112866 |
- secta_cover
- sect_aux
- sect_result
- sect1_roster
- sect2_education
- sect3_health
- sect4a1_labour
- sect4a2_labour
- sect5_remittances
- sect6a_meals_outside
- sect6b_food_cons
- sect6c_aggregate_foo
d_1 - sect6c_aggregate_foo
d_2 - sect6c_aggregate_foo
d_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_securit
y - 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
How much does it cost (one-way) to go to [INFRA] by [Q3]?
(c02q04)
File: sectc2_infra
File: sectc2_infra
Overview
Type:
Discrete Format: numeric Width: 4 Decimals: 0 Range: 0-4000 | Valid cases: 5245 Invalid: 45585 |
Categories
Value | Category | Cases | |
---|---|---|---|
0 | 0. NOTHING/FREE | 46 | 0.9% |
1 | 1 | 0.0% | |
2 | 2 | 0.0% | |
5 | 6 | 0.1% | |
8 | 1 | 0.0% | |
10 | 9 | 0.2% | |
15 | 2 | 0.0% | |
20 | 7 | 0.1% | |
25 | 1 | 0.0% | |
30 | 12 | 0.2% | |
35 | 1 | 0.0% | |
40 | 8 | 0.2% | |
50 | 1296 | 24.7% | |
58 | 1 | 0.0% | |
60 | 19 | 0.4% | |
70 | 159 | 3.0% | |
80 | 47 | 0.9% | |
100 | 1184 | 22.6% | |
120 | 9 | 0.2% | |
130 | 1 | 0.0% | |
150 | 405 | 7.7% | |
170 | 3 | 0.1% | |
180 | 1 | 0.0% | |
200 | 761 | 14.5% | |
230 | 1 | 0.0% | |
250 | 132 | 2.5% | |
300 | 338 | 6.4% | |
350 | 19 | 0.4% | |
400 | 163 | 3.1% | |
450 | 9 | 0.2% | |
500 | 269 | 5.1% | |
600 | 89 | 1.7% | |
700 | 41 | 0.8% | |
750 | 3 | 0.1% | |
800 | 39 | 0.7% | |
900 | 14 | 0.3% | |
1000 | 62 | 1.2% | |
1100 | 2 | 0.0% | |
1200 | 3 | 0.1% | |
1300 | 3 | 0.1% | |
1500 | 40 | 0.8% | |
1600 | 2 | 0.0% | |
2000 | 21 | 0.4% | |
2500 | 7 | 0.1% | |
4000 | 6 | 0.1% | |
Sysmiss | 45585 |
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.