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    Home / Central Data Catalog / NGA_2018_LSS_V01_M / variable [F67]
central

Living Standards Survey 2018-2019

Nigeria, 2018 - 2019
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Reference ID
NGA_2018_LSS_v01_M
Producer(s)
National Bureau of Statistics (NBS)
Metadata
DDI/XML JSON
Created on
Jan 16, 2021
Last modified
Jan 16, 2021
Page views
38123
Downloads
548
  • Study Description
  • Data Dictionary
  • Downloads
  • Get Microdata
  • 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.
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