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
101639
Downloads
7946
The total daily/ weekly/monthly/annual revenues of your business from all sources for 2007 (q5_9_2d)
Data file: InformalityAnon_Baseline
Overview
Valid:
520
Invalid:
0
Minimum:
99
Maximum:
73000000
Mean:
1072009.673
Standard deviation:
3662830.519
Type:
Discrete
Decimal:
0
Start:
524
End:
531
Width:
8
Range:
99 - 73000000
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 | 99 |
19%
|
|
| 998 | 34 |
6.5%
|
|
| 999 | 3 |
0.6%
|
|
| 36000 | 2 |
0.4%
|
|
| 52000 | 1 |
0.2%
|
|
| 60000 | 2 |
0.4%
|
|
| 72000 | 2 |
0.4%
|
|
| 84000 | 1 |
0.2%
|
|
| 90000 | 1 |
0.2%
|
|
| 96000 | 3 |
0.6%
|
|
| 100000 | 2 |
0.4%
|
|
| 108000 | 2 |
0.4%
|
|
| 117000 | 1 |
0.2%
|
|
| 117600 | 1 |
0.2%
|
|
| 120000 | 5 |
1%
|
|
| 134400 | 3 |
0.6%
|
|
| 144000 | 9 |
1.7%
|
|
| 145000 | 1 |
0.2%
|
|
| 150000 | 1 |
0.2%
|
|
| 168000 | 5 |
1%
|
|
| 180000 | 18 |
3.5%
|
|
| 182500 | 1 |
0.2%
|
|
| 187200 | 1 |
0.2%
|
|
| 192000 | 1 |
0.2%
|
|
| 201600 | 3 |
0.6%
|
|
| 216000 | 3 |
0.6%
|
|
| 234000 | 1 |
0.2%
|
|
| 235200 | 1 |
0.2%
|
|
| 240000 | 20 |
3.8%
|
|
| 252000 | 7 |
1.3%
|
|
| 259200 | 1 |
0.2%
|
|
| 264000 | 2 |
0.4%
|
|
| 268800 | 1 |
0.2%
|
|
| 270000 | 1 |
0.2%
|
|
| 288000 | 4 |
0.8%
|
|
| 290000 | 1 |
0.2%
|
|
| 292000 | 1 |
0.2%
|
|
| 300000 | 18 |
3.5%
|
|
| 306000 | 1 |
0.2%
|
|
| 324000 | 1 |
0.2%
|
|
| 336000 | 9 |
1.7%
|
|
| 360000 | 31 |
6%
|
|
| 369600 | 1 |
0.2%
|
|
| 420000 | 8 |
1.5%
|
|
| 428400 | 1 |
0.2%
|
|
| 442000 | 1 |
0.2%
|
|
| 448000 | 1 |
0.2%
|
|
| 450000 | 1 |
0.2%
|
|
| 456000 | 1 |
0.2%
|
|
| 480000 | 12 |
2.3%
|
|
| 504000 | 12 |
2.3%
|
|
| 536000 | 1 |
0.2%
|
|
| 540000 | 5 |
1%
|
|
| 571200 | 1 |
0.2%
|
|
| 600000 | 10 |
1.9%
|
|
| 604800 | 2 |
0.4%
|
|
| 648000 | 2 |
0.4%
|
|
| 660000 | 1 |
0.2%
|
|
| 672000 | 11 |
2.1%
|
|
| 720000 | 9 |
1.7%
|
|
| 750000 | 2 |
0.4%
|
|
| 816000 | 1 |
0.2%
|
|
| 840000 | 12 |
2.3%
|
|
| 875000 | 1 |
0.2%
|
|
| 882000 | 1 |
0.2%
|
|
| 900000 | 4 |
0.8%
|
|
| 960000 | 3 |
0.6%
|
|
| 1000000 | 1 |
0.2%
|
|
| 1008000 | 4 |
0.8%
|
|
| 1020000 | 3 |
0.6%
|
|
| 1040000 | 1 |
0.2%
|
|
| 1080000 | 3 |
0.6%
|
|
| 1176000 | 3 |
0.6%
|
|
| 1200000 | 11 |
2.1%
|
|
| 1344000 | 3 |
0.6%
|
|
| 1440000 | 3 |
0.6%
|
|
| 1500000 | 3 |
0.6%
|
|
| 1680000 | 4 |
0.8%
|
|
| 1800000 | 9 |
1.7%
|
|
| 1950000 | 1 |
0.2%
|
|
| 2016000 | 2 |
0.4%
|
|
| 2100000 | 1 |
0.2%
|
|
| 2400000 | 3 |
0.6%
|
|
| 2688000 | 4 |
0.8%
|
|
| 2800000 | 1 |
0.2%
|
|
| 3000000 | 8 |
1.5%
|
|
| 3024000 | 3 |
0.6%
|
|
| 3120000 | 2 |
0.4%
|
|
| 3240000 | 1 |
0.2%
|
|
| 3600000 | 4 |
0.8%
|
|
| 3900000 | 1 |
0.2%
|
|
| 4200000 | 3 |
0.6%
|
|
| 4704000 | 1 |
0.2%
|
|
| 4800000 | 2 |
0.4%
|
|
| 5000000 | 1 |
0.2%
|
|
| 5040000 | 2 |
0.4%
|
|
| 5400000 | 1 |
0.2%
|
|
| 5700000 | 1 |
0.2%
|
|
| 5880000 | 1 |
0.2%
|
|
| 6000000 | 2 |
0.4%
|
|
| 6480000 | 1 |
0.2%
|
|
| 6500000 | 1 |
0.2%
|
|
| 7000000 | 1 |
0.2%
|
|
| 7200000 | 2 |
0.4%
|
|
| 7500000 | 1 |
0.2%
|
|
| 8400000 | 1 |
0.2%
|
|
| 9000000 | 2 |
0.4%
|
|
| 9600000 | 3 |
0.6%
|
|
| 10000000 | 1 |
0.2%
|
|
| 10080000 | 2 |
0.4%
|
|
| 11100000 | 1 |
0.2%
|
|
| 15000000 | 1 |
0.2%
|
|
| 73000000 | 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)