Formalization Experiment Data 2008-2011
Sri Lanka, 2008 - 2011
Get MicrodataCreated on
Dec 20, 2012
Last modified
Mar 29, 2019
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1979
Value if owned (Rs.): Total value of assets and rents in business (q2_1a_7)
Data file: InformalityAnon_Dec2011
Overview
Valid:
408
Invalid:
112
Minimum:
10
Maximum:
58000000
Mean:
1970687.328
Standard deviation:
5211087.464
Type:
Discrete
Decimal:
0
Start:
176
End:
183
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 |
|---|---|
| 10 | |
| 500 | |
| 1010 | |
| 1500 | |
| 2000 | |
| 3000 | |
| 3700 | |
| 4010 | |
| 5000 | |
| 5500 | |
| 6000 | |
| 6900 | |
| 7000 | |
| 9000 | |
| 10000 | |
| 11000 | |
| 12000 | |
| 14000 | |
| 15000 | |
| 15550 | |
| 16000 | |
| 17000 | |
| 20000 | |
| 20900 | |
| 21000 | |
| 22000 | |
| 24000 | |
| 24500 | |
| 27000 | |
| 28000 | |
| 29500 | |
| 30000 | |
| 30300 | |
| 31500 | |
| 32000 | |
| 34250 | |
| 35000 | |
| 37000 | |
| 38000 | |
| 39000 | |
| 40000 | |
| 42500 | |
| 45000 | |
| 46000 | |
| 47000 | |
| 48000 | |
| 49000 | |
| 50000 | |
| 53600 | |
| 55000 | |
| 55400 | |
| 56000 | |
| 57000 | |
| 58000 | |
| 59000 | |
| 59800 | |
| 60000 | |
| 61500 | |
| 63000 | |
| 65000 | |
| 70000 | |
| 74000 | |
| 75000 | |
| 76000 | |
| 78000 | |
| 85000 | |
| 86000 | |
| 90000 | |
| 92500 | |
| 93000 | |
| 100000 | |
| 105000 | |
| 106000 | |
| 107000 | |
| 110000 | |
| 111000 | |
| 112000 | |
| 115000 | |
| 116000 | |
| 117000 | |
| 120000 | |
| 127000 | |
| 130000 | |
| 131000 | |
| 132000 | |
| 134000 | |
| 135000 | |
| 145500 | |
| 150000 | |
| 151000 | |
| 151500 | |
| 155000 | |
| 157000 | |
| 158000 | |
| 158500 | |
| 160000 | |
| 165000 | |
| 167000 | |
| 169500 | |
| 170000 | |
| 171000 | |
| 175000 | |
| 180000 | |
| 185000 | |
| 190000 | |
| 196000 | |
| 200000 | |
| 200500 | |
| 207000 | |
| 208000 | |
| 209000 | |
| 210000 | |
| 211000 | |
| 220000 | |
| 221000 | |
| 230000 | |
| 235000 | |
| 240000 | |
| 243000 | |
| 244500 | |
| 250000 | |
| 256000 | |
| 259500 | |
| 260000 | |
| 263000 | |
| 267000 | |
| 280000 | |
| 281000 | |
| 282000 | |
| 292500 | |
| 295000 | |
| 302500 | |
| 304000 | |
| 308000 | |
| 310000 | |
| 312000 | |
| 320000 | |
| 321000 | |
| 325000 | |
| 330000 | |
| 335000 | |
| 343000 | |
| 362000 | |
| 370000 | |
| 374000 | |
| 375000 | |
| 378500 | |
| 380000 | |
| 385000 | |
| 400000 | |
| 402500 | |
| 412500 | |
| 413000 | |
| 424000 | |
| 430000 | |
| 431000 | |
| 445000 | |
| 454000 | |
| 467000 | |
| 470000 | |
| 502000 | |
| 506000 | |
| 515000 | |
| 519000 | |
| 520000 | |
| 526000 | |
| 530000 | |
| 538000 | |
| 550000 | |
| 551000 | |
| 560000 | |
| 580000 | |
| 592000 | |
| 606000 | |
| 610000 | |
| 615000 | |
| 626500 | |
| 644000 | |
| 670000 | |
| 680000 | |
| 695000 | |
| 700000 | |
| 714000 | |
| 727000 | |
| 730000 | |
| 745000 | |
| 760000 | |
| 773000 | |
| 785000 | |
| 800300 | |
| 804700 | |
| 810000 | |
| 822000 | |
| 860000 | |
| 865000 | |
| 883000 | |
| 897000 | |
| 905000 | |
| 943000 | |
| 996000 | |
| 997000 | |
| 1002000 | |
| 1011000 | |
| 1012000 | |
| 1015000 | |
| 1018000 | |
| 1035000 | |
| 1050000 | |
| 1080000 | |
| 1093000 | |
| 1142000 | |
| 1150000 | |
| 1202500 | |
| 1250000 | |
| 1255700 | |
| 1285000 | |
| 1335000 | |
| 1350000 | |
| 1450000 | |
| 1510500 | |
| 1553000 | |
| 1563000 | |
| 1585000 | |
| 1590000 | |
| 1591000 | |
| 1667200 | |
| 1685000 | |
| 1686500 | |
| 1718000 | |
| 1770000 | |
| 1788000 | |
| 1802000 | |
| 1804200 | |
| 1851300 | |
| 1905000 | |
| 1980000 | |
| 2000000 | |
| 2011000 | |
| 2033000 | |
| 2076500 | |
| 2082000 | |
| 2095000 | |
| 2100000 | |
| 2200000 | |
| 2300000 | |
| 2306000 | |
| 2310000 | |
| 2460000 | |
| 2500000 | |
| 2517000 | |
| 2578000 | |
| 2627000 | |
| 2805000 | |
| 2809000 | |
| 2870000 | |
| 3020000 | |
| 3048000 | |
| 3050000 | |
| 3062000 | |
| 3111000 | |
| 3123000 | |
| 3180000 | |
| 3245000 | |
| 3278000 | |
| 3313000 | |
| 3350000 | |
| 3434000 | |
| 3510000 | |
| 3514000 | |
| 3685000 | |
| 3716000 | |
| 3807500 | |
| 3925000 | |
| 4010000 | |
| 4035000 | |
| 4052000 | |
| 4080000 | |
| 4365000 | |
| 4420000 | |
| 4431000 | |
| 4450000 | |
| 4715000 | |
| 4835000 | |
| 5117500 | |
| 5147000 | |
| 5176500 | |
| 5207000 | |
| 5240000 | |
| 5250000 | |
| 5330000 | |
| 5500000 | |
| 5502000 | |
| 5660000 | |
| 6021000 | |
| 6060000 | |
| 6065600 | |
| 6190000 | |
| 6250000 | |
| 6265000 | |
| 6362000 | |
| 6522000 | |
| 7076500 | |
| 7100000 | |
| 7547000 | |
| 7720000 | |
| 8044000 | |
| 8210000 | |
| 8720000 | |
| 9265000 | |
| 10025000 | |
| 10590000 | |
| 10609000 | |
| 11935000 | |
| 12070000 | |
| 12690000 | |
| 14550000 | |
| 15135000 | |
| 16496000 | |
| 17140000 | |
| 18400000 | |
| 19564000 | |
| 20235000 | |
| 20410000 | |
| 21615000 | |
| 30405000 | |
| 53330000 | |
| 58000000 | |
| 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.