Living Standards Survey, 2018-2019
Nigeria, 2018 - 2019
Get Microdata
Reference ID
NGA_2018_LSS_v01_EN_M_v01_A_OCS
Producer(s)
National Bureau of Statistics (NBS)
Collections
Metadata
Created on
Feb 01, 2021
Last modified
Nov 08, 2022
Page views
54421
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- 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 has your household borrowed for this [NFE] in the past 12 months? (s09q17)
Data file: sect9b_enterprise
Overview
Valid:
2276
Invalid:
16067
Type:
Discrete
Decimal:
0
Start:
372
End:
379
Width:
8
Range:
0 - 10000000
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 0 | 0. NO NEW LOANS IN THE PAST 12 MONTHS | 71 |
3.1%
|
| 160 | 1 |
0%
|
|
| 400 | 1 |
0%
|
|
| 430 | 1 |
0%
|
|
| 500 | 4 |
0.2%
|
|
| 800 | 1 |
0%
|
|
| 1000 | 19 |
0.8%
|
|
| 1200 | 2 |
0.1%
|
|
| 1400 | 1 |
0%
|
|
| 1500 | 6 |
0.3%
|
|
| 1600 | 1 |
0%
|
|
| 2000 | 23 |
1%
|
|
| 2300 | 1 |
0%
|
|
| 2400 | 2 |
0.1%
|
|
| 2500 | 6 |
0.3%
|
|
| 2600 | 1 |
0%
|
|
| 2800 | 1 |
0%
|
|
| 3000 | 48 |
2.1%
|
|
| 3250 | 1 |
0%
|
|
| 3400 | 1 |
0%
|
|
| 3500 | 17 |
0.7%
|
|
| 3800 | 1 |
0%
|
|
| 4000 | 32 |
1.4%
|
|
| 4500 | 10 |
0.4%
|
|
| 4700 | 1 |
0%
|
|
| 4800 | 4 |
0.2%
|
|
| 5000 | 106 |
4.7%
|
|
| 5300 | 1 |
0%
|
|
| 5500 | 1 |
0%
|
|
| 5600 | 1 |
0%
|
|
| 6000 | 38 |
1.7%
|
|
| 6300 | 1 |
0%
|
|
| 6500 | 1 |
0%
|
|
| 7000 | 30 |
1.3%
|
|
| 7200 | 1 |
0%
|
|
| 7400 | 1 |
0%
|
|
| 7500 | 4 |
0.2%
|
|
| 8000 | 25 |
1.1%
|
|
| 8500 | 1 |
0%
|
|
| 9000 | 6 |
0.3%
|
|
| 9500 | 1 |
0%
|
|
| 10000 | 136 |
6%
|
|
| 10500 | 1 |
0%
|
|
| 11000 | 2 |
0.1%
|
|
| 12000 | 19 |
0.8%
|
|
| 12500 | 1 |
0%
|
|
| 13000 | 13 |
0.6%
|
|
| 14000 | 2 |
0.1%
|
|
| 15000 | 77 |
3.4%
|
|
| 16000 | 3 |
0.1%
|
|
| 17000 | 5 |
0.2%
|
|
| 18000 | 6 |
0.3%
|
|
| 18500 | 1 |
0%
|
|
| 20000 | 149 |
6.5%
|
|
| 21000 | 1 |
0%
|
|
| 22000 | 1 |
0%
|
|
| 23000 | 5 |
0.2%
|
|
| 24000 | 3 |
0.1%
|
|
| 25000 | 47 |
2.1%
|
|
| 26000 | 1 |
0%
|
|
| 27000 | 4 |
0.2%
|
|
| 28000 | 3 |
0.1%
|
|
| 29000 | 2 |
0.1%
|
|
| 30000 | 114 |
5%
|
|
| 32000 | 1 |
0%
|
|
| 34000 | 1 |
0%
|
|
| 35000 | 26 |
1.1%
|
|
| 36000 | 1 |
0%
|
|
| 40000 | 57 |
2.5%
|
|
| 43000 | 2 |
0.1%
|
|
| 45000 | 14 |
0.6%
|
|
| 46000 | 1 |
0%
|
|
| 48000 | 2 |
0.1%
|
|
| 50000 | 266 |
11.7%
|
|
| 52000 | 1 |
0%
|
|
| 54000 | 1 |
0%
|
|
| 55000 | 2 |
0.1%
|
|
| 60000 | 56 |
2.5%
|
|
| 65000 | 6 |
0.3%
|
|
| 67000 | 1 |
0%
|
|
| 68000 | 1 |
0%
|
|
| 70000 | 50 |
2.2%
|
|
| 75000 | 4 |
0.2%
|
|
| 80000 | 54 |
2.4%
|
|
| 85000 | 3 |
0.1%
|
|
| 90000 | 13 |
0.6%
|
|
| 95000 | 1 |
0%
|
|
| 97000 | 1 |
0%
|
|
| 100000 | 205 |
9%
|
|
| 110000 | 2 |
0.1%
|
|
| 115000 | 1 |
0%
|
|
| 118000 | 1 |
0%
|
|
| 120000 | 25 |
1.1%
|
|
| 122000 | 1 |
0%
|
|
| 124000 | 1 |
0%
|
|
| 125000 | 1 |
0%
|
|
| 130000 | 1 |
0%
|
|
| 140000 | 5 |
0.2%
|
|
| 145000 | 1 |
0%
|
|
| 146000 | 1 |
0%
|
|
| 150000 | 73 |
3.2%
|
|
| 152000 | 1 |
0%
|
|
| 160000 | 7 |
0.3%
|
|
| 170000 | 3 |
0.1%
|
|
| 180000 | 6 |
0.3%
|
|
| 190000 | 2 |
0.1%
|
|
| 200000 | 90 |
4%
|
|
| 210000 | 2 |
0.1%
|
|
| 215000 | 1 |
0%
|
|
| 220000 | 4 |
0.2%
|
|
| 230000 | 3 |
0.1%
|
|
| 240000 | 2 |
0.1%
|
|
| 250000 | 25 |
1.1%
|
|
| 260000 | 3 |
0.1%
|
|
| 270000 | 1 |
0%
|
|
| 280000 | 2 |
0.1%
|
|
| 290000 | 1 |
0%
|
|
| 300000 | 39 |
1.7%
|
|
| 315000 | 1 |
0%
|
|
| 320000 | 1 |
0%
|
|
| 335000 | 1 |
0%
|
|
| 350000 | 8 |
0.4%
|
|
| 390000 | 1 |
0%
|
|
| 400000 | 19 |
0.8%
|
|
| 450000 | 2 |
0.1%
|
|
| 470000 | 1 |
0%
|
|
| 500000 | 36 |
1.6%
|
|
| 600000 | 7 |
0.3%
|
|
| 650000 | 1 |
0%
|
|
| 680000 | 1 |
0%
|
|
| 700000 | 5 |
0.2%
|
|
| 750000 | 2 |
0.1%
|
|
| 780000 | 1 |
0%
|
|
| 800000 | 8 |
0.4%
|
|
| 900000 | 4 |
0.2%
|
|
| 950000 | 1 |
0%
|
|
| 1000000 | 10 |
0.4%
|
|
| 1100000 | 1 |
0%
|
|
| 1200000 | 3 |
0.1%
|
|
| 1500000 | 6 |
0.3%
|
|
| 1800000 | 1 |
0%
|
|
| 2000000 | 1 |
0%
|
|
| 2500000 | 2 |
0.1%
|
|
| 3000000 | 3 |
0.1%
|
|
| 4000000 | 1 |
0%
|
|
| 5000000 | 1 |
0%
|
|
| 10000000 | 1 |
0%
|
|
| Sysmiss | 16067 |
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.