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
101577
Downloads
7946
The total daily/ weekly/monthly/annual revenues of your business from all sources for 2006 (q5_9_1d)
Data file: InformalityAnon_Baseline
Overview
Valid:
520
Invalid:
0
Minimum:
99
Maximum:
91250000
Mean:
1295712.894
Standard deviation:
4476881.202
Type:
Discrete
Decimal:
0
Start:
516
End:
523
Width:
8
Range:
99 - 91250000
Format:
Numeric
Questions and instructions
Literal question
Can you tell me the total daily/ weekly/monthly/annual revenues of your business from all sources for 2006 and 2007:
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 99 | 68 |
13.1%
|
|
| 998 | 23 |
4.4%
|
|
| 999 | 3 |
0.6%
|
|
| 24000 | 1 |
0.2%
|
|
| 48000 | 1 |
0.2%
|
|
| 54000 | 1 |
0.2%
|
|
| 60000 | 2 |
0.4%
|
|
| 72000 | 1 |
0.2%
|
|
| 84000 | 2 |
0.4%
|
|
| 96000 | 4 |
0.8%
|
|
| 100000 | 2 |
0.4%
|
|
| 104000 | 1 |
0.2%
|
|
| 108000 | 1 |
0.2%
|
|
| 120000 | 5 |
1%
|
|
| 144000 | 5 |
1%
|
|
| 150000 | 1 |
0.2%
|
|
| 168000 | 5 |
1%
|
|
| 175000 | 1 |
0.2%
|
|
| 180000 | 15 |
2.9%
|
|
| 182000 | 1 |
0.2%
|
|
| 187200 | 1 |
0.2%
|
|
| 192000 | 1 |
0.2%
|
|
| 200000 | 1 |
0.2%
|
|
| 216000 | 3 |
0.6%
|
|
| 240000 | 22 |
4.2%
|
|
| 252000 | 5 |
1%
|
|
| 260000 | 1 |
0.2%
|
|
| 264000 | 2 |
0.4%
|
|
| 268800 | 3 |
0.6%
|
|
| 270000 | 2 |
0.4%
|
|
| 276000 | 1 |
0.2%
|
|
| 288000 | 9 |
1.7%
|
|
| 292000 | 1 |
0.2%
|
|
| 300000 | 13 |
2.5%
|
|
| 306000 | 1 |
0.2%
|
|
| 319200 | 1 |
0.2%
|
|
| 324000 | 2 |
0.4%
|
|
| 336000 | 8 |
1.5%
|
|
| 360000 | 37 |
7.1%
|
|
| 365000 | 2 |
0.4%
|
|
| 400000 | 1 |
0.2%
|
|
| 403200 | 1 |
0.2%
|
|
| 420000 | 10 |
1.9%
|
|
| 480000 | 11 |
2.1%
|
|
| 504000 | 17 |
3.3%
|
|
| 536000 | 1 |
0.2%
|
|
| 540000 | 8 |
1.5%
|
|
| 600000 | 16 |
3.1%
|
|
| 604800 | 1 |
0.2%
|
|
| 660000 | 5 |
1%
|
|
| 672000 | 20 |
3.8%
|
|
| 672222 | 1 |
0.2%
|
|
| 720000 | 14 |
2.7%
|
|
| 780000 | 2 |
0.4%
|
|
| 800000 | 1 |
0.2%
|
|
| 810000 | 1 |
0.2%
|
|
| 840000 | 11 |
2.1%
|
|
| 900000 | 3 |
0.6%
|
|
| 960000 | 3 |
0.6%
|
|
| 1000000 | 1 |
0.2%
|
|
| 1008000 | 10 |
1.9%
|
|
| 1080000 | 4 |
0.8%
|
|
| 1176000 | 4 |
0.8%
|
|
| 1200000 | 17 |
3.3%
|
|
| 1260000 | 2 |
0.4%
|
|
| 1300000 | 1 |
0.2%
|
|
| 1344000 | 3 |
0.6%
|
|
| 1440000 | 1 |
0.2%
|
|
| 1500000 | 1 |
0.2%
|
|
| 1512000 | 1 |
0.2%
|
|
| 1536000 | 1 |
0.2%
|
|
| 1630000 | 1 |
0.2%
|
|
| 1680000 | 4 |
0.8%
|
|
| 1700000 | 1 |
0.2%
|
|
| 1800000 | 8 |
1.5%
|
|
| 2000000 | 1 |
0.2%
|
|
| 2016000 | 2 |
0.4%
|
|
| 2100000 | 1 |
0.2%
|
|
| 2160000 | 1 |
0.2%
|
|
| 2352000 | 2 |
0.4%
|
|
| 2400000 | 4 |
0.8%
|
|
| 2688000 | 1 |
0.2%
|
|
| 2700000 | 1 |
0.2%
|
|
| 2760000 | 1 |
0.2%
|
|
| 2800000 | 1 |
0.2%
|
|
| 2880000 | 3 |
0.6%
|
|
| 3000000 | 7 |
1.3%
|
|
| 3180000 | 1 |
0.2%
|
|
| 3360000 | 4 |
0.8%
|
|
| 3600000 | 4 |
0.8%
|
|
| 3900000 | 1 |
0.2%
|
|
| 4000000 | 1 |
0.2%
|
|
| 4032000 | 2 |
0.4%
|
|
| 4050000 | 1 |
0.2%
|
|
| 4200000 | 1 |
0.2%
|
|
| 4760000 | 1 |
0.2%
|
|
| 4800000 | 3 |
0.6%
|
|
| 5400000 | 3 |
0.6%
|
|
| 5760000 | 2 |
0.4%
|
|
| 6000000 | 5 |
1%
|
|
| 6480000 | 1 |
0.2%
|
|
| 6720000 | 1 |
0.2%
|
|
| 6900000 | 1 |
0.2%
|
|
| 7000000 | 1 |
0.2%
|
|
| 7200000 | 3 |
0.6%
|
|
| 8400000 | 2 |
0.4%
|
|
| 9000000 | 1 |
0.2%
|
|
| 10080000 | 3 |
0.6%
|
|
| 11040000 | 1 |
0.2%
|
|
| 12000000 | 2 |
0.4%
|
|
| 14400000 | 2 |
0.4%
|
|
| 16800000 | 1 |
0.2%
|
|
| 91250000 | 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.
Interviewer instructions
(Interviewer: Use daily/ weekly/monthly revenues to estimate annual revenue. It is expected to estimate “d “column by using either one of the a,b, or c columns)