Formalization Experiment Data 2008-2011
Sri Lanka, 2008 - 2011
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Reference ID
LKA_2008_SLFED_v01_M
Producer(s)
David McKenzie, Suresh de Mel, Christopher Woodruff
Collection(s)
Created on
Oct 23, 2012
Last modified
Sep 26, 2013
Page views
119685
Downloads
8968
Value if owned (Rs.): Machinery and Equipment (gas cookers, ovens, refrigerators (q2_1a_2)
Data file: InformalityAnon_March2011
Overview
Valid:
432
Invalid:
13
Minimum:
0
Maximum:
4000000
Mean:
146336.69
Standard deviation:
387677.242
Type:
Discrete
Decimal:
0
Start:
64
End:
70
Width:
7
Range:
0 - 4000000
Format:
Numeric
Questions and instructions
Literal question
Now I am going to ask you about the characteristics of any utensils, tools, machinery and equipment, vehicles and other property currently used in your business or activity. Think of the value as how much it would cost you to purchase the assets in similar condition.
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 0 | 114 |
26.4%
|
|
| 500 | 1 |
0.2%
|
|
| 1500 | 1 |
0.2%
|
|
| 2000 | 3 |
0.7%
|
|
| 2500 | 1 |
0.2%
|
|
| 3000 | 1 |
0.2%
|
|
| 3500 | 1 |
0.2%
|
|
| 5000 | 2 |
0.5%
|
|
| 6000 | 2 |
0.5%
|
|
| 7000 | 1 |
0.2%
|
|
| 8000 | 1 |
0.2%
|
|
| 8500 | 1 |
0.2%
|
|
| 9000 | 1 |
0.2%
|
|
| 10000 | 11 |
2.5%
|
|
| 10250 | 1 |
0.2%
|
|
| 11500 | 1 |
0.2%
|
|
| 12000 | 3 |
0.7%
|
|
| 12500 | 1 |
0.2%
|
|
| 15000 | 11 |
2.5%
|
|
| 16000 | 1 |
0.2%
|
|
| 18000 | 2 |
0.5%
|
|
| 20000 | 12 |
2.8%
|
|
| 23500 | 1 |
0.2%
|
|
| 24000 | 1 |
0.2%
|
|
| 25000 | 9 |
2.1%
|
|
| 30000 | 14 |
3.2%
|
|
| 35000 | 10 |
2.3%
|
|
| 36400 | 1 |
0.2%
|
|
| 40000 | 7 |
1.6%
|
|
| 45000 | 5 |
1.2%
|
|
| 46000 | 1 |
0.2%
|
|
| 50000 | 19 |
4.4%
|
|
| 57000 | 1 |
0.2%
|
|
| 58000 | 2 |
0.5%
|
|
| 60000 | 13 |
3%
|
|
| 64800 | 1 |
0.2%
|
|
| 65000 | 2 |
0.5%
|
|
| 70000 | 7 |
1.6%
|
|
| 73000 | 1 |
0.2%
|
|
| 75000 | 10 |
2.3%
|
|
| 80000 | 5 |
1.2%
|
|
| 85000 | 2 |
0.5%
|
|
| 90000 | 3 |
0.7%
|
|
| 95000 | 1 |
0.2%
|
|
| 100000 | 27 |
6.3%
|
|
| 110000 | 1 |
0.2%
|
|
| 120000 | 2 |
0.5%
|
|
| 125000 | 1 |
0.2%
|
|
| 130000 | 1 |
0.2%
|
|
| 135000 | 1 |
0.2%
|
|
| 150000 | 22 |
5.1%
|
|
| 153000 | 1 |
0.2%
|
|
| 175000 | 1 |
0.2%
|
|
| 180000 | 2 |
0.5%
|
|
| 185000 | 1 |
0.2%
|
|
| 200000 | 23 |
5.3%
|
|
| 220000 | 1 |
0.2%
|
|
| 250000 | 10 |
2.3%
|
|
| 300000 | 11 |
2.5%
|
|
| 350000 | 2 |
0.5%
|
|
| 400000 | 8 |
1.9%
|
|
| 450000 | 3 |
0.7%
|
|
| 500000 | 7 |
1.6%
|
|
| 600000 | 3 |
0.7%
|
|
| 650000 | 1 |
0.2%
|
|
| 1000000 | 3 |
0.7%
|
|
| 1100000 | 1 |
0.2%
|
|
| 1200000 | 1 |
0.2%
|
|
| 1500000 | 3 |
0.7%
|
|
| 2000000 | 1 |
0.2%
|
|
| 2300000 | 1 |
0.2%
|
|
| 3000000 | 3 |
0.7%
|
|
| 4000000 | 1 |
0.2%
|
|
| Sysmiss | 13 |
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.