Living Standards Survey 2018-2019
Nigeria, 2018 - 2019
Get Microdata
Reference ID
NGA_2018_LSS_v01_M
Producer(s)
National Bureau of Statistics (NBS)
Metadata
Created on
Jan 12, 2021
Last modified
Jan 12, 2021
Page views
299508
Downloads
23221
- 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 SALARIES & WAGES during the last month of operation? (s09q31a)
Data file: sect9b_enterprise
Overview
Valid:
18343
Invalid:
0
Type:
Discrete
Decimal:
0
Start:
712
End:
718
Width:
7
Range:
0 - 3000000
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 0 | 0. NONE | 16401 |
89.4%
|
| 15 | 1 |
0%
|
|
| 34 | 1 |
0%
|
|
| 40 | 1 |
0%
|
|
| 100 | 1 |
0%
|
|
| 150 | 1 |
0%
|
|
| 200 | 1 |
0%
|
|
| 250 | 2 |
0%
|
|
| 300 | 9 |
0%
|
|
| 400 | 7 |
0%
|
|
| 450 | 1 |
0%
|
|
| 500 | 18 |
0.1%
|
|
| 600 | 10 |
0.1%
|
|
| 650 | 2 |
0%
|
|
| 700 | 6 |
0%
|
|
| 800 | 16 |
0.1%
|
|
| 900 | 1 |
0%
|
|
| 1000 | 37 |
0.2%
|
|
| 1100 | 1 |
0%
|
|
| 1200 | 19 |
0.1%
|
|
| 1300 | 2 |
0%
|
|
| 1400 | 1 |
0%
|
|
| 1500 | 34 |
0.2%
|
|
| 1600 | 3 |
0%
|
|
| 1800 | 5 |
0%
|
|
| 2000 | 61 |
0.3%
|
|
| 2100 | 1 |
0%
|
|
| 2300 | 1 |
0%
|
|
| 2400 | 1 |
0%
|
|
| 2500 | 20 |
0.1%
|
|
| 2600 | 1 |
0%
|
|
| 2800 | 4 |
0%
|
|
| 3000 | 74 |
0.4%
|
|
| 3200 | 1 |
0%
|
|
| 3300 | 1 |
0%
|
|
| 3500 | 13 |
0.1%
|
|
| 3600 | 1 |
0%
|
|
| 3900 | 1 |
0%
|
|
| 4000 | 49 |
0.3%
|
|
| 4200 | 1 |
0%
|
|
| 4300 | 2 |
0%
|
|
| 4500 | 10 |
0.1%
|
|
| 4800 | 1 |
0%
|
|
| 5000 | 110 |
0.6%
|
|
| 5500 | 3 |
0%
|
|
| 5600 | 2 |
0%
|
|
| 5800 | 1 |
0%
|
|
| 6000 | 82 |
0.4%
|
|
| 6500 | 3 |
0%
|
|
| 7000 | 37 |
0.2%
|
|
| 7200 | 1 |
0%
|
|
| 7500 | 6 |
0%
|
|
| 8000 | 91 |
0.5%
|
|
| 8400 | 1 |
0%
|
|
| 8500 | 2 |
0%
|
|
| 9000 | 26 |
0.1%
|
|
| 9500 | 1 |
0%
|
|
| 9600 | 1 |
0%
|
|
| 10000 | 210 |
1.1%
|
|
| 10200 | 1 |
0%
|
|
| 10500 | 3 |
0%
|
|
| 10800 | 1 |
0%
|
|
| 11000 | 5 |
0%
|
|
| 11500 | 2 |
0%
|
|
| 12000 | 60 |
0.3%
|
|
| 12500 | 3 |
0%
|
|
| 12600 | 1 |
0%
|
|
| 12800 | 1 |
0%
|
|
| 13000 | 6 |
0%
|
|
| 13500 | 5 |
0%
|
|
| 14000 | 11 |
0.1%
|
|
| 15000 | 112 |
0.6%
|
|
| 15200 | 1 |
0%
|
|
| 15500 | 1 |
0%
|
|
| 16000 | 19 |
0.1%
|
|
| 17000 | 3 |
0%
|
|
| 17500 | 1 |
0%
|
|
| 17600 | 1 |
0%
|
|
| 18000 | 17 |
0.1%
|
|
| 20000 | 146 |
0.8%
|
|
| 21000 | 4 |
0%
|
|
| 22000 | 7 |
0%
|
|
| 22500 | 2 |
0%
|
|
| 23000 | 1 |
0%
|
|
| 24000 | 27 |
0.1%
|
|
| 25000 | 27 |
0.1%
|
|
| 26000 | 1 |
0%
|
|
| 26500 | 1 |
0%
|
|
| 27000 | 2 |
0%
|
|
| 28000 | 8 |
0%
|
|
| 29500 | 1 |
0%
|
|
| 30000 | 92 |
0.5%
|
|
| 30500 | 1 |
0%
|
|
| 32000 | 8 |
0%
|
|
| 33000 | 2 |
0%
|
|
| 33500 | 1 |
0%
|
|
| 34000 | 1 |
0%
|
|
| 35000 | 12 |
0.1%
|
|
| 36000 | 12 |
0.1%
|
|
| 38000 | 4 |
0%
|
|
| 39000 | 2 |
0%
|
|
| 40000 | 37 |
0.2%
|
|
| 41000 | 1 |
0%
|
|
| 42000 | 4 |
0%
|
|
| 44000 | 2 |
0%
|
|
| 44400 | 1 |
0%
|
|
| 45000 | 22 |
0.1%
|
|
| 46000 | 1 |
0%
|
|
| 48000 | 5 |
0%
|
|
| 49000 | 1 |
0%
|
|
| 50000 | 24 |
0.1%
|
|
| 51000 | 1 |
0%
|
|
| 53000 | 1 |
0%
|
|
| 54000 | 1 |
0%
|
|
| 55000 | 6 |
0%
|
|
| 58000 | 1 |
0%
|
|
| 60000 | 37 |
0.2%
|
|
| 62500 | 1 |
0%
|
|
| 63000 | 1 |
0%
|
|
| 65000 | 4 |
0%
|
|
| 70000 | 9 |
0%
|
|
| 70400 | 1 |
0%
|
|
| 72000 | 2 |
0%
|
|
| 75000 | 4 |
0%
|
|
| 80000 | 13 |
0.1%
|
|
| 83500 | 1 |
0%
|
|
| 84000 | 2 |
0%
|
|
| 85000 | 5 |
0%
|
|
| 86000 | 2 |
0%
|
|
| 90000 | 9 |
0%
|
|
| 94000 | 1 |
0%
|
|
| 95000 | 1 |
0%
|
|
| 98000 | 1 |
0%
|
|
| 100000 | 22 |
0.1%
|
|
| 105000 | 1 |
0%
|
|
| 108000 | 1 |
0%
|
|
| 110000 | 4 |
0%
|
|
| 112500 | 1 |
0%
|
|
| 114000 | 1 |
0%
|
|
| 118000 | 1 |
0%
|
|
| 120000 | 14 |
0.1%
|
|
| 121000 | 1 |
0%
|
|
| 125000 | 2 |
0%
|
|
| 126000 | 1 |
0%
|
|
| 133000 | 1 |
0%
|
|
| 135000 | 1 |
0%
|
|
| 140000 | 7 |
0%
|
|
| 144000 | 1 |
0%
|
|
| 150000 | 9 |
0%
|
|
| 155000 | 1 |
0%
|
|
| 158000 | 2 |
0%
|
|
| 160000 | 1 |
0%
|
|
| 168000 | 2 |
0%
|
|
| 170000 | 1 |
0%
|
|
| 180000 | 6 |
0%
|
|
| 200000 | 3 |
0%
|
|
| 201000 | 1 |
0%
|
|
| 201600 | 1 |
0%
|
|
| 204000 | 1 |
0%
|
|
| 205000 | 1 |
0%
|
|
| 210000 | 1 |
0%
|
|
| 213000 | 1 |
0%
|
|
| 225000 | 1 |
0%
|
|
| 230000 | 1 |
0%
|
|
| 240000 | 1 |
0%
|
|
| 244000 | 1 |
0%
|
|
| 245000 | 1 |
0%
|
|
| 250000 | 2 |
0%
|
|
| 270000 | 1 |
0%
|
|
| 300000 | 6 |
0%
|
|
| 310000 | 1 |
0%
|
|
| 320000 | 1 |
0%
|
|
| 350000 | 2 |
0%
|
|
| 360000 | 1 |
0%
|
|
| 390000 | 1 |
0%
|
|
| 400000 | 3 |
0%
|
|
| 420000 | 1 |
0%
|
|
| 500000 | 2 |
0%
|
|
| 540000 | 1 |
0%
|
|
| 580000 | 1 |
0%
|
|
| 750000 | 1 |
0%
|
|
| 920000 | 1 |
0%
|
|
| 960000 | 1 |
0%
|
|
| 1100000 | 1 |
0%
|
|
| 2000000 | 1 |
0%
|
|
| 3000000 | 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.