Labor Force Survey 2014
Sierra Leone, 2014
Get Microdata
Reference ID
SLE_2014_LFS_v01_M
Producer(s)
Statistics Sierra Leone
Metadata
Created on
Oct 03, 2016
Last modified
Oct 03, 2016
Page views
67080
Downloads
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K.22. If suddenly the HH was faced with an unexpected situation and needed money (K_22)
Data file: merged K de-ID
Overview
Valid:
3318
Invalid:
2027
Type:
Discrete
Decimal:
0
Start:
301
End:
308
Width:
8
Range:
0 - 70000000
Format:
Numeric
Questions and instructions
Literal question
If suddenly the HH was faced with an unexpected situation and needed money in 2 weeks for this enterprise, what is the maximum amount of money that the household would be able to borrow?
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 0 | Would not be able to borrow any money | 1620 |
48.8%
|
| 88 | One billion or more | 1 |
0%
|
| 99 | 4 |
0.1%
|
|
| 5000 | 6 |
0.2%
|
|
| 7000 | 1 |
0%
|
|
| 8000 | 1 |
0%
|
|
| 10000 | 9 |
0.3%
|
|
| 13000 | 1 |
0%
|
|
| 15000 | 4 |
0.1%
|
|
| 20000 | 29 |
0.9%
|
|
| 25000 | 1 |
0%
|
|
| 30000 | 22 |
0.7%
|
|
| 32000 | 1 |
0%
|
|
| 35000 | 1 |
0%
|
|
| 36000 | 1 |
0%
|
|
| 38000 | 1 |
0%
|
|
| 40000 | 9 |
0.3%
|
|
| 45000 | 1 |
0%
|
|
| 50000 | 118 |
3.6%
|
|
| 60000 | 17 |
0.5%
|
|
| 70000 | 13 |
0.4%
|
|
| 80000 | 21 |
0.6%
|
|
| 84000 | 1 |
0%
|
|
| 85000 | 1 |
0%
|
|
| 90000 | 3 |
0.1%
|
|
| 95000 | 1 |
0%
|
|
| 100000 | 194 |
5.8%
|
|
| 110000 | 1 |
0%
|
|
| 120000 | 4 |
0.1%
|
|
| 130000 | 6 |
0.2%
|
|
| 150000 | 65 |
2%
|
|
| 160000 | 2 |
0.1%
|
|
| 180000 | 1 |
0%
|
|
| 200000 | 173 |
5.2%
|
|
| 230000 | 1 |
0%
|
|
| 240000 | 1 |
0%
|
|
| 250000 | 32 |
1%
|
|
| 270000 | 1 |
0%
|
|
| 280000 | 1 |
0%
|
|
| 300000 | 121 |
3.6%
|
|
| 350000 | 7 |
0.2%
|
|
| 400000 | 52 |
1.6%
|
|
| 420000 | 2 |
0.1%
|
|
| 450000 | 3 |
0.1%
|
|
| 500000 | 212 |
6.4%
|
|
| 600000 | 32 |
1%
|
|
| 650000 | 1 |
0%
|
|
| 700000 | 10 |
0.3%
|
|
| 800000 | 20 |
0.6%
|
|
| 850000 | 2 |
0.1%
|
|
| 900000 | 12 |
0.4%
|
|
| 1000000 | 150 |
4.5%
|
|
| 1500000 | 26 |
0.8%
|
|
| 1800000 | 2 |
0.1%
|
|
| 2000000 | 110 |
3.3%
|
|
| 2500000 | 7 |
0.2%
|
|
| 3000000 | 43 |
1.3%
|
|
| 4000000 | 17 |
0.5%
|
|
| 4900000 | 1 |
0%
|
|
| 5000000 | 48 |
1.4%
|
|
| 6000000 | 10 |
0.3%
|
|
| 7000000 | 3 |
0.1%
|
|
| 8000000 | 1 |
0%
|
|
| 10000000 | 26 |
0.8%
|
|
| 12000000 | 1 |
0%
|
|
| 15000000 | 5 |
0.2%
|
|
| 20000000 | 16 |
0.5%
|
|
| 30000000 | 2 |
0.1%
|
|
| 50000000 | 5 |
0.2%
|
|
| 70000000 | 1 |
0%
|
|
| Sysmiss | 2027 |
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.