Formalization Experiment Data 2008-2011
Sri Lanka, 2008 - 2011
Get MicrodataCreated on
Dec 20, 2012
Last modified
Mar 29, 2019
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Value if owned (Rs.) : Total value of above assets in the business (q2_1a_7)
Data file: InformalityAnon_March2011
Overview
Valid:
432
Invalid:
13
Minimum:
0
Maximum:
53110000
Mean:
1892581.597
Standard deviation:
5252688.914
Type:
Discrete
Decimal:
0
Start:
101
End:
108
Width:
8
Range:
-
Format:
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 |
|---|---|
| 0 | |
| 300 | |
| 700 | |
| 1000 | |
| 1250 | |
| 1500 | |
| 2000 | |
| 3000 | |
| 3100 | |
| 3500 | |
| 4800 | |
| 5000 | |
| 6000 | |
| 6500 | |
| 6700 | |
| 7000 | |
| 7850 | |
| 8000 | |
| 8500 | |
| 9000 | |
| 9500 | |
| 10000 | |
| 11000 | |
| 11250 | |
| 11500 | |
| 12000 | |
| 12300 | |
| 15000 | |
| 15200 | |
| 15250 | |
| 16500 | |
| 17000 | |
| 17500 | |
| 18000 | |
| 18500 | |
| 18700 | |
| 20000 | |
| 21300 | |
| 22400 | |
| 22500 | |
| 23500 | |
| 24000 | |
| 24500 | |
| 25000 | |
| 27000 | |
| 27200 | |
| 28000 | |
| 29000 | |
| 29500 | |
| 30000 | |
| 31000 | |
| 32000 | |
| 33500 | |
| 34000 | |
| 35000 | |
| 36000 | |
| 37000 | |
| 37500 | |
| 39000 | |
| 40000 | |
| 43000 | |
| 44000 | |
| 44500 | |
| 46000 | |
| 50000 | |
| 50050 | |
| 50300 | |
| 52000 | |
| 55000 | |
| 55600 | |
| 59000 | |
| 59100 | |
| 59500 | |
| 60000 | |
| 62500 | |
| 63000 | |
| 64000 | |
| 65000 | |
| 68000 | |
| 69300 | |
| 70000 | |
| 73000 | |
| 75000 | |
| 75400 | |
| 77000 | |
| 78000 | |
| 80000 | |
| 82000 | |
| 83200 | |
| 85000 | |
| 89000 | |
| 90000 | |
| 91000 | |
| 93000 | |
| 94000 | |
| 96500 | |
| 98000 | |
| 100000 | |
| 100800 | |
| 101000 | |
| 102200 | |
| 102500 | |
| 103000 | |
| 104000 | |
| 104500 | |
| 105000 | |
| 107000 | |
| 108000 | |
| 110000 | |
| 111000 | |
| 112000 | |
| 113000 | |
| 114000 | |
| 116000 | |
| 117000 | |
| 120000 | |
| 122000 | |
| 122500 | |
| 125050 | |
| 126000 | |
| 130000 | |
| 132000 | |
| 133000 | |
| 140000 | |
| 142500 | |
| 142750 | |
| 145200 | |
| 150000 | |
| 150500 | |
| 150800 | |
| 152500 | |
| 158000 | |
| 160000 | |
| 165000 | |
| 165100 | |
| 165250 | |
| 171000 | |
| 172000 | |
| 173000 | |
| 175000 | |
| 178800 | |
| 182000 | |
| 184000 | |
| 185000 | |
| 186500 | |
| 187000 | |
| 197000 | |
| 200750 | |
| 202000 | |
| 204500 | |
| 205000 | |
| 207600 | |
| 208000 | |
| 209000 | |
| 213000 | |
| 215000 | |
| 220000 | |
| 225000 | |
| 225700 | |
| 227300 | |
| 228000 | |
| 230000 | |
| 230500 | |
| 232000 | |
| 237000 | |
| 238500 | |
| 240200 | |
| 250000 | |
| 257000 | |
| 261000 | |
| 265000 | |
| 271000 | |
| 275000 | |
| 290000 | |
| 295000 | |
| 300000 | |
| 305400 | |
| 310000 | |
| 313000 | |
| 315000 | |
| 318000 | |
| 322000 | |
| 328000 | |
| 329500 | |
| 330000 | |
| 332500 | |
| 340000 | |
| 342000 | |
| 355000 | |
| 356000 | |
| 370000 | |
| 387000 | |
| 390000 | |
| 393000 | |
| 394000 | |
| 397000 | |
| 403000 | |
| 412500 | |
| 420000 | |
| 430000 | |
| 450000 | |
| 456000 | |
| 460000 | |
| 465000 | |
| 470000 | |
| 503000 | |
| 505000 | |
| 506000 | |
| 510000 | |
| 511300 | |
| 515500 | |
| 520000 | |
| 522000 | |
| 532000 | |
| 535000 | |
| 542000 | |
| 570000 | |
| 604000 | |
| 621000 | |
| 630000 | |
| 635000 | |
| 660600 | |
| 661000 | |
| 666000 | |
| 674750 | |
| 709000 | |
| 729500 | |
| 740000 | |
| 758000 | |
| 811000 | |
| 841000 | |
| 868000 | |
| 913000 | |
| 916000 | |
| 925500 | |
| 955000 | |
| 960000 | |
| 967000 | |
| 995000 | |
| 1006000 | |
| 1007000 | |
| 1022500 | |
| 1035000 | |
| 1069000 | |
| 1102000 | |
| 1110000 | |
| 1180000 | |
| 1184000 | |
| 1222800 | |
| 1237000 | |
| 1253000 | |
| 1275500 | |
| 1277500 | |
| 1279500 | |
| 1293000 | |
| 1350000 | |
| 1356500 | |
| 1420000 | |
| 1540000 | |
| 1601000 | |
| 1620000 | |
| 1625000 | |
| 1653500 | |
| 1707000 | |
| 1712000 | |
| 1808000 | |
| 1883600 | |
| 1930000 | |
| 1975000 | |
| 2004500 | |
| 2007500 | |
| 2010000 | |
| 2059000 | |
| 2100000 | |
| 2165000 | |
| 2301000 | |
| 2381300 | |
| 2431000 | |
| 2513000 | |
| 2537000 | |
| 2540000 | |
| 2557000 | |
| 2625000 | |
| 2653000 | |
| 2704000 | |
| 2848000 | |
| 2860000 | |
| 2982500 | |
| 3000000 | |
| 3011000 | |
| 3018500 | |
| 3048000 | |
| 3095000 | |
| 3100000 | |
| 3188000 | |
| 3225000 | |
| 3315000 | |
| 3515000 | |
| 3572500 | |
| 3612000 | |
| 3837200 | |
| 3843000 | |
| 3925000 | |
| 4018000 | |
| 4020000 | |
| 4050000 | |
| 4051000 | |
| 4121000 | |
| 4125000 | |
| 4238000 | |
| 4480000 | |
| 4530000 | |
| 4550000 | |
| 4855000 | |
| 5000000 | |
| 5005000 | |
| 5011000 | |
| 5032000 | |
| 5035000 | |
| 5040000 | |
| 5043500 | |
| 5055000 | |
| 5070000 | |
| 5082500 | |
| 5096500 | |
| 5172000 | |
| 5199000 | |
| 5210000 | |
| 5248000 | |
| 5321000 | |
| 5360000 | |
| 5440000 | |
| 5748000 | |
| 6058000 | |
| 6157000 | |
| 6202000 | |
| 6255000 | |
| 7205000 | |
| 7512000 | |
| 7569000 | |
| 7960000 | |
| 8108000 | |
| 8195000 | |
| 8460000 | |
| 8508000 | |
| 8518000 | |
| 9050000 | |
| 9225000 | |
| 10053000 | |
| 10058000 | |
| 10070000 | |
| 10560000 | |
| 11005000 | |
| 11600000 | |
| 12220000 | |
| 12255000 | |
| 13400000 | |
| 15328000 | |
| 20265000 | |
| 21420000 | |
| 22170000 | |
| 23635000 | |
| 50202500 | |
| 53049500 | |
| 53110000 | |
| Sysmiss |
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.