Formalization Experiment Data 2008-2011
Sri Lanka, 2008 - 2011
Get Microdata
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
128006
Downloads
9156
Value if owned: Machinery and Equipment (q5_1a2)
Data file: InformalityAnon_Baseline
Overview
Valid:
520
Invalid:
0
Minimum:
0
Maximum:
5000000
Mean:
123211.346
Standard deviation:
366928.095
Type:
Discrete
Decimal:
0
Start:
342
End:
348
Width:
7
Range:
0 - 5000000
Format:
Numeric
Questions and instructions
Question pretext
In this section we ask about assets, expenses, income and profits.
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. Please tell me the approximate value of your assets in each of the following categories. Think of the value as how much it would cost you to replace the assets with ones in similar condition
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 0 | 185 |
35.6%
|
|
| 400 | 1 |
0.2%
|
|
| 1000 | 1 |
0.2%
|
|
| 2000 | 3 |
0.6%
|
|
| 3000 | 2 |
0.4%
|
|
| 4000 | 1 |
0.2%
|
|
| 5000 | 4 |
0.8%
|
|
| 6000 | 1 |
0.2%
|
|
| 7000 | 1 |
0.2%
|
|
| 7500 | 1 |
0.2%
|
|
| 8000 | 2 |
0.4%
|
|
| 10000 | 7 |
1.3%
|
|
| 12000 | 3 |
0.6%
|
|
| 15000 | 9 |
1.7%
|
|
| 18000 | 3 |
0.6%
|
|
| 20000 | 10 |
1.9%
|
|
| 21000 | 1 |
0.2%
|
|
| 25000 | 11 |
2.1%
|
|
| 30000 | 22 |
4.2%
|
|
| 32000 | 1 |
0.2%
|
|
| 33000 | 1 |
0.2%
|
|
| 35000 | 7 |
1.3%
|
|
| 36000 | 1 |
0.2%
|
|
| 40000 | 11 |
2.1%
|
|
| 45000 | 5 |
1%
|
|
| 50000 | 17 |
3.3%
|
|
| 56000 | 1 |
0.2%
|
|
| 60000 | 10 |
1.9%
|
|
| 65000 | 3 |
0.6%
|
|
| 70000 | 8 |
1.5%
|
|
| 75000 | 9 |
1.7%
|
|
| 78000 | 1 |
0.2%
|
|
| 80000 | 8 |
1.5%
|
|
| 85000 | 2 |
0.4%
|
|
| 90000 | 1 |
0.2%
|
|
| 100000 | 35 |
6.7%
|
|
| 110000 | 1 |
0.2%
|
|
| 120000 | 2 |
0.4%
|
|
| 125000 | 3 |
0.6%
|
|
| 130000 | 2 |
0.4%
|
|
| 150000 | 25 |
4.8%
|
|
| 175000 | 4 |
0.8%
|
|
| 180000 | 1 |
0.2%
|
|
| 200000 | 26 |
5%
|
|
| 225000 | 1 |
0.2%
|
|
| 240000 | 1 |
0.2%
|
|
| 250000 | 10 |
1.9%
|
|
| 280000 | 2 |
0.4%
|
|
| 300000 | 14 |
2.7%
|
|
| 320000 | 1 |
0.2%
|
|
| 350000 | 2 |
0.4%
|
|
| 400000 | 12 |
2.3%
|
|
| 450000 | 1 |
0.2%
|
|
| 500000 | 9 |
1.7%
|
|
| 600000 | 2 |
0.4%
|
|
| 610000 | 1 |
0.2%
|
|
| 800000 | 2 |
0.4%
|
|
| 1000000 | 2 |
0.4%
|
|
| 1400000 | 1 |
0.2%
|
|
| 1500000 | 1 |
0.2%
|
|
| 2500000 | 3 |
0.6%
|
|
| 4000000 | 1 |
0.2%
|
|
| 5000000 | 1 |
0.2%
|
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.