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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
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|
| Created on | May 27, 2021 |
| Last modified | May 28, 2021 |
| Page views | 1006887 |
| Downloads | 112096 |
- 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 has your household borrowed for this [NFE] in the past 12 months?
(s09q17)
File: sect9b_enterprise
File: sect9b_enterprise
Overview
Type:
Discrete Format: numeric Width: 8 Decimals: 0 Range: 0-10000000 | Valid cases: 2276 Invalid: 16067 |
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 0 | 0. NO NEW LOANS IN THE PAST 12 MONTHS | 71 |  3.1%
|
| 160 | 1 | 0.0%
| |
| 400 | 1 | 0.0%
| |
| 430 | 1 | 0.0%
| |
| 500 | 4 | 0.2%
| |
| 800 | 1 | 0.0%
| |
| 1000 | 19 | 0.8%
| |
| 1200 | 2 | 0.1%
| |
| 1400 | 1 | 0.0%
| |
| 1500 | 6 | 0.3%
| |
| 1600 | 1 | 0.0%
| |
| 2000 | 23 | 1.0%
| |
| 2300 | 1 | 0.0%
| |
| 2400 | 2 | 0.1%
| |
| 2500 | 6 | 0.3%
| |
| 2600 | 1 | 0.0%
| |
| 2800 | 1 | 0.0%
| |
| 3000 | 48 | 2.1%
| |
| 3250 | 1 | 0.0%
| |
| 3400 | 1 | 0.0%
| |
| 3500 | 17 | 0.7%
| |
| 3800 | 1 | 0.0%
| |
| 4000 | 32 | 1.4%
| |
| 4500 | 10 | 0.4%
| |
| 4700 | 1 | 0.0%
| |
| 4800 | 4 | 0.2%
| |
| 5000 | 106 | 4.7%
| |
| 5300 | 1 | 0.0%
| |
| 5500 | 1 | 0.0%
| |
| 5600 | 1 | 0.0%
| |
| 6000 | 38 | 1.7%
| |
| 6300 | 1 | 0.0%
| |
| 6500 | 1 | 0.0%
| |
| 7000 | 30 | 1.3%
| |
| 7200 | 1 | 0.0%
| |
| 7400 | 1 | 0.0%
| |
| 7500 | 4 | 0.2%
| |
| 8000 | 25 | 1.1%
| |
| 8500 | 1 | 0.0%
| |
| 9000 | 6 | 0.3%
| |
| 9500 | 1 | 0.0%
| |
| 10000 | 136 | 6.0%
| |
| 10500 | 1 | 0.0%
| |
| 11000 | 2 | 0.1%
| |
| 12000 | 19 | 0.8%
| |
| 12500 | 1 | 0.0%
| |
| 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 | 0.0%
| |
| 20000 | 149 | 6.5%
| |
| 21000 | 1 | 0.0%
| |
| 22000 | 1 | 0.0%
| |
| 23000 | 5 | 0.2%
| |
| 24000 | 3 | 0.1%
| |
| 25000 | 47 | 2.1%
| |
| 26000 | 1 | 0.0%
| |
| 27000 | 4 | 0.2%
| |
| 28000 | 3 | 0.1%
| |
| 29000 | 2 | 0.1%
| |
| 30000 | 114 | 5.0%
| |
| 32000 | 1 | 0.0%
| |
| 34000 | 1 | 0.0%
| |
| 35000 | 26 | 1.1%
| |
| 36000 | 1 | 0.0%
| |
| 40000 | 57 | 2.5%
| |
| 43000 | 2 | 0.1%
| |
| 45000 | 14 | 0.6%
| |
| 46000 | 1 | 0.0%
| |
| 48000 | 2 | 0.1%
| |
| 50000 | 266 | 11.7%
| |
| 52000 | 1 | 0.0%
| |
| 54000 | 1 | 0.0%
| |
| 55000 | 2 | 0.1%
| |
| 60000 | 56 | 2.5%
| |
| 65000 | 6 | 0.3%
| |
| 67000 | 1 | 0.0%
| |
| 68000 | 1 | 0.0%
| |
| 70000 | 50 | 2.2%
| |
| 75000 | 4 | 0.2%
| |
| 80000 | 54 | 2.4%
| |
| 85000 | 3 | 0.1%
| |
| 90000 | 13 | 0.6%
| |
| 95000 | 1 | 0.0%
| |
| 97000 | 1 | 0.0%
| |
| 100000 | 205 | 9.0%
| |
| 110000 | 2 | 0.1%
| |
| 115000 | 1 | 0.0%
| |
| 118000 | 1 | 0.0%
| |
| 120000 | 25 | 1.1%
| |
| 122000 | 1 | 0.0%
| |
| 124000 | 1 | 0.0%
| |
| 125000 | 1 | 0.0%
| |
| 130000 | 1 | 0.0%
| |
| 140000 | 5 | 0.2%
| |
| 145000 | 1 | 0.0%
| |
| 146000 | 1 | 0.0%
| |
| 150000 | 73 | 3.2%
| |
| 152000 | 1 | 0.0%
| |
| 160000 | 7 | 0.3%
| |
| 170000 | 3 | 0.1%
| |
| 180000 | 6 | 0.3%
| |
| 190000 | 2 | 0.1%
| |
| 200000 | 90 | 4.0%
| |
| 210000 | 2 | 0.1%
| |
| 215000 | 1 | 0.0%
| |
| 220000 | 4 | 0.2%
| |
| 230000 | 3 | 0.1%
| |
| 240000 | 2 | 0.1%
| |
| 250000 | 25 | 1.1%
| |
| 260000 | 3 | 0.1%
| |
| 270000 | 1 | 0.0%
| |
| 280000 | 2 | 0.1%
| |
| 290000 | 1 | 0.0%
| |
| 300000 | 39 | 1.7%
| |
| 315000 | 1 | 0.0%
| |
| 320000 | 1 | 0.0%
| |
| 335000 | 1 | 0.0%
| |
| 350000 | 8 | 0.4%
| |
| 390000 | 1 | 0.0%
| |
| 400000 | 19 | 0.8%
| |
| 450000 | 2 | 0.1%
| |
| 470000 | 1 | 0.0%
| |
| 500000 | 36 | 1.6%
| |
| 600000 | 7 | 0.3%
| |
| 650000 | 1 | 0.0%
| |
| 680000 | 1 | 0.0%
| |
| 700000 | 5 | 0.2%
| |
| 750000 | 2 | 0.1%
| |
| 780000 | 1 | 0.0%
| |
| 800000 | 8 | 0.4%
| |
| 900000 | 4 | 0.2%
| |
| 950000 | 1 | 0.0%
| |
| 1000000 | 10 | 0.4%
| |
| 1100000 | 1 | 0.0%
| |
| 1200000 | 3 | 0.1%
| |
| 1500000 | 6 | 0.3%
| |
| 1800000 | 1 | 0.0%
| |
| 2000000 | 1 | 0.0%
| |
| 2500000 | 2 | 0.1%
| |
| 3000000 | 3 | 0.1%
| |
| 4000000 | 1 | 0.0%
| |
| 5000000 | 1 | 0.0%
| |
| 10000000 | 1 | 0.0%
| |
| 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.