Nigeria Living Standards Survey 2018-2019
Nigeria, 2018 - 2019
Get Microdata
Reference ID
NGA-NBS-NLSS-2018-v01
Producer(s)
National Bureau of Statistics (NBS)
Metadata
Created on
May 27, 2021
Last modified
May 28, 2021
Page views
1047101
Downloads
113093
- 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 was spent on FUEL FOR GENERATOR during the last month of operation? (s09q31d)
Data file: sect9b_enterprise
Overview
Valid:
1689
Invalid:
16654
Type:
Discrete
Decimal:
0
Start:
734
End:
740
Width:
7
Range:
0 - 1250000
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 0 | 0. NONE | 119 |
7%
|
| 250 | 1 |
0.1%
|
|
| 300 | 1 |
0.1%
|
|
| 350 | 1 |
0.1%
|
|
| 400 | 3 |
0.2%
|
|
| 440 | 1 |
0.1%
|
|
| 500 | 25 |
1.5%
|
|
| 580 | 1 |
0.1%
|
|
| 600 | 9 |
0.5%
|
|
| 640 | 1 |
0.1%
|
|
| 700 | 7 |
0.4%
|
|
| 750 | 3 |
0.2%
|
|
| 800 | 4 |
0.2%
|
|
| 880 | 1 |
0.1%
|
|
| 900 | 1 |
0.1%
|
|
| 1000 | 95 |
5.6%
|
|
| 1200 | 24 |
1.4%
|
|
| 1300 | 3 |
0.2%
|
|
| 1400 | 1 |
0.1%
|
|
| 1450 | 5 |
0.3%
|
|
| 1500 | 96 |
5.7%
|
|
| 1600 | 4 |
0.2%
|
|
| 1700 | 2 |
0.1%
|
|
| 1750 | 2 |
0.1%
|
|
| 1800 | 13 |
0.8%
|
|
| 2000 | 154 |
9.1%
|
|
| 2030 | 1 |
0.1%
|
|
| 2200 | 3 |
0.2%
|
|
| 2400 | 7 |
0.4%
|
|
| 2500 | 70 |
4.1%
|
|
| 2600 | 1 |
0.1%
|
|
| 2800 | 2 |
0.1%
|
|
| 2900 | 4 |
0.2%
|
|
| 3000 | 186 |
11%
|
|
| 3200 | 3 |
0.2%
|
|
| 3300 | 2 |
0.1%
|
|
| 3400 | 2 |
0.1%
|
|
| 3500 | 41 |
2.4%
|
|
| 3600 | 2 |
0.1%
|
|
| 3800 | 2 |
0.1%
|
|
| 4000 | 109 |
6.5%
|
|
| 4060 | 1 |
0.1%
|
|
| 4200 | 3 |
0.2%
|
|
| 4350 | 1 |
0.1%
|
|
| 4500 | 40 |
2.4%
|
|
| 4700 | 2 |
0.1%
|
|
| 4800 | 2 |
0.1%
|
|
| 5000 | 155 |
9.2%
|
|
| 5200 | 1 |
0.1%
|
|
| 5500 | 6 |
0.4%
|
|
| 5600 | 1 |
0.1%
|
|
| 5800 | 4 |
0.2%
|
|
| 6000 | 80 |
4.7%
|
|
| 6090 | 1 |
0.1%
|
|
| 6200 | 1 |
0.1%
|
|
| 6300 | 2 |
0.1%
|
|
| 6400 | 1 |
0.1%
|
|
| 6450 | 1 |
0.1%
|
|
| 6500 | 5 |
0.3%
|
|
| 6800 | 1 |
0.1%
|
|
| 7000 | 25 |
1.5%
|
|
| 7200 | 1 |
0.1%
|
|
| 7250 | 1 |
0.1%
|
|
| 7500 | 12 |
0.7%
|
|
| 8000 | 37 |
2.2%
|
|
| 8400 | 3 |
0.2%
|
|
| 8500 | 7 |
0.4%
|
|
| 8700 | 1 |
0.1%
|
|
| 8800 | 1 |
0.1%
|
|
| 9000 | 17 |
1%
|
|
| 9600 | 2 |
0.1%
|
|
| 10000 | 75 |
4.4%
|
|
| 10500 | 4 |
0.2%
|
|
| 11000 | 1 |
0.1%
|
|
| 11200 | 2 |
0.1%
|
|
| 11250 | 1 |
0.1%
|
|
| 11500 | 2 |
0.1%
|
|
| 12000 | 23 |
1.4%
|
|
| 12500 | 3 |
0.2%
|
|
| 13000 | 3 |
0.2%
|
|
| 13950 | 1 |
0.1%
|
|
| 14000 | 7 |
0.4%
|
|
| 14300 | 1 |
0.1%
|
|
| 14500 | 1 |
0.1%
|
|
| 14800 | 1 |
0.1%
|
|
| 15000 | 47 |
2.8%
|
|
| 15500 | 1 |
0.1%
|
|
| 15800 | 1 |
0.1%
|
|
| 16000 | 2 |
0.1%
|
|
| 17000 | 1 |
0.1%
|
|
| 17200 | 1 |
0.1%
|
|
| 17400 | 1 |
0.1%
|
|
| 18000 | 8 |
0.5%
|
|
| 20000 | 18 |
1.1%
|
|
| 21600 | 1 |
0.1%
|
|
| 22000 | 1 |
0.1%
|
|
| 23000 | 1 |
0.1%
|
|
| 24000 | 5 |
0.3%
|
|
| 25000 | 8 |
0.5%
|
|
| 28000 | 3 |
0.2%
|
|
| 30000 | 15 |
0.9%
|
|
| 30500 | 1 |
0.1%
|
|
| 32000 | 1 |
0.1%
|
|
| 34800 | 1 |
0.1%
|
|
| 35000 | 1 |
0.1%
|
|
| 36000 | 1 |
0.1%
|
|
| 40000 | 4 |
0.2%
|
|
| 48000 | 1 |
0.1%
|
|
| 50000 | 2 |
0.1%
|
|
| 55000 | 1 |
0.1%
|
|
| 60000 | 4 |
0.2%
|
|
| 80000 | 1 |
0.1%
|
|
| 90000 | 1 |
0.1%
|
|
| 200000 | 2 |
0.1%
|
|
| 500000 | 1 |
0.1%
|
|
| 1250000 | 1 |
0.1%
|
|
| Sysmiss | 16654 |
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.