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: Total value of assets in business (q5_1a7)
Data file: InformalityAnon_Baseline
Overview
Valid:
520
Invalid:
0
Minimum:
1400
Maximum:
36050000
Mean:
1146578.173
Standard deviation:
3288818.101
Type:
Discrete
Decimal:
0
Start:
378
End:
385
Width:
8
Range:
-
Format:
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 |
|---|---|
| 1400 | |
| 2000 | |
| 3000 | |
| 4000 | |
| 4200 | |
| 4500 | |
| 5000 | |
| 6000 | |
| 6500 | |
| 10000 | |
| 10500 | |
| 11000 | |
| 11200 | |
| 12000 | |
| 13000 | |
| 15000 | |
| 17000 | |
| 18000 | |
| 20000 | |
| 21000 | |
| 22500 | |
| 23000 | |
| 24000 | |
| 25000 | |
| 25500 | |
| 25900 | |
| 26000 | |
| 26500 | |
| 27000 | |
| 28000 | |
| 29000 | |
| 30000 | |
| 31000 | |
| 32500 | |
| 33000 | |
| 33500 | |
| 35000 | |
| 36000 | |
| 37000 | |
| 40000 | |
| 41000 | |
| 43000 | |
| 45000 | |
| 50000 | |
| 51000 | |
| 52000 | |
| 52500 | |
| 53000 | |
| 53500 | |
| 55000 | |
| 58000 | |
| 60000 | |
| 63000 | |
| 65000 | |
| 66000 | |
| 70000 | |
| 75000 | |
| 76000 | |
| 77500 | |
| 80000 | |
| 83000 | |
| 85000 | |
| 86000 | |
| 89000 | |
| 91000 | |
| 92000 | |
| 93000 | |
| 95000 | |
| 97000 | |
| 98000 | |
| 100000 | |
| 103000 | |
| 105000 | |
| 108000 | |
| 110000 | |
| 113000 | |
| 115000 | |
| 120000 | |
| 122000 | |
| 125000 | |
| 128000 | |
| 130000 | |
| 135000 | |
| 136000 | |
| 140000 | |
| 141000 | |
| 143000 | |
| 145000 | |
| 148000 | |
| 150000 | |
| 153000 | |
| 154000 | |
| 155000 | |
| 157000 | |
| 158000 | |
| 160000 | |
| 170000 | |
| 174000 | |
| 175000 | |
| 178000 | |
| 183000 | |
| 185000 | |
| 200000 | |
| 202000 | |
| 210000 | |
| 215000 | |
| 217000 | |
| 219000 | |
| 220000 | |
| 225000 | |
| 226000 | |
| 230000 | |
| 234000 | |
| 235000 | |
| 245000 | |
| 250000 | |
| 257000 | |
| 259000 | |
| 260000 | |
| 265000 | |
| 266000 | |
| 270000 | |
| 272000 | |
| 275000 | |
| 286000 | |
| 295000 | |
| 300000 | |
| 301000 | |
| 303500 | |
| 305000 | |
| 310000 | |
| 312000 | |
| 320000 | |
| 325000 | |
| 325500 | |
| 327000 | |
| 332000 | |
| 334000 | |
| 337000 | |
| 339000 | |
| 344000 | |
| 350000 | |
| 351000 | |
| 353000 | |
| 355000 | |
| 365000 | |
| 370000 | |
| 385000 | |
| 400000 | |
| 403000 | |
| 403100 | |
| 405000 | |
| 410000 | |
| 415000 | |
| 416000 | |
| 417000 | |
| 420000 | |
| 430000 | |
| 435000 | |
| 437000 | |
| 440000 | |
| 445000 | |
| 457000 | |
| 460000 | |
| 465500 | |
| 470000 | |
| 475000 | |
| 490000 | |
| 500000 | |
| 501000 | |
| 502000 | |
| 505000 | |
| 510000 | |
| 512000 | |
| 520000 | |
| 533000 | |
| 535000 | |
| 550000 | |
| 555000 | |
| 559000 | |
| 560000 | |
| 563000 | |
| 565000 | |
| 572000 | |
| 575000 | |
| 578000 | |
| 590000 | |
| 600000 | |
| 600850 | |
| 608000 | |
| 610000 | |
| 612000 | |
| 625000 | |
| 627500 | |
| 628000 | |
| 637500 | |
| 640000 | |
| 663000 | |
| 700000 | |
| 705000 | |
| 707000 | |
| 708000 | |
| 710000 | |
| 715000 | |
| 716000 | |
| 720000 | |
| 731000 | |
| 732000 | |
| 740000 | |
| 750000 | |
| 753000 | |
| 755000 | |
| 760000 | |
| 770000 | |
| 788000 | |
| 820000 | |
| 840000 | |
| 851000 | |
| 857000 | |
| 860000 | |
| 870000 | |
| 875000 | |
| 878500 | |
| 890000 | |
| 902000 | |
| 903000 | |
| 905000 | |
| 947000 | |
| 950000 | |
| 959000 | |
| 1020000 | |
| 1026000 | |
| 1040000 | |
| 1045000 | |
| 1060000 | |
| 1065000 | |
| 1075000 | |
| 1085000 | |
| 1090000 | |
| 1100000 | |
| 1109000 | |
| 1110000 | |
| 1120000 | |
| 1152000 | |
| 1154000 | |
| 1180000 | |
| 1200000 | |
| 1205000 | |
| 1220000 | |
| 1240000 | |
| 1277000 | |
| 1300000 | |
| 1303000 | |
| 1450000 | |
| 1470000 | |
| 1512000 | |
| 1515000 | |
| 1520000 | |
| 1530000 | |
| 1580000 | |
| 1602500 | |
| 1605000 | |
| 1606000 | |
| 1635000 | |
| 1665000 | |
| 1690000 | |
| 1700000 | |
| 1810000 | |
| 1900000 | |
| 2065000 | |
| 2100000 | |
| 2125000 | |
| 2175000 | |
| 2190000 | |
| 2252500 | |
| 2263000 | |
| 2265000 | |
| 2270000 | |
| 2360000 | |
| 2400000 | |
| 2503000 | |
| 2520000 | |
| 2550000 | |
| 2600000 | |
| 2710000 | |
| 2730000 | |
| 3010000 | |
| 3021000 | |
| 3035000 | |
| 3100000 | |
| 3115000 | |
| 3174000 | |
| 3310000 | |
| 3500000 | |
| 4070000 | |
| 4515000 | |
| 5050000 | |
| 5065000 | |
| 5094000 | |
| 5150000 | |
| 5305000 | |
| 5425000 | |
| 5500000 | |
| 6080000 | |
| 6140000 | |
| 6360000 | |
| 6400000 | |
| 7005000 | |
| 7850000 | |
| 8008000 | |
| 8100000 | |
| 8525000 | |
| 10000000 | |
| 10003000 | |
| 10005000 | |
| 10008000 | |
| 10011000 | |
| 10074000 | |
| 10085000 | |
| 10135000 | |
| 11550000 | |
| 12510000 | |
| 15001000 | |
| 23100000 | |
| 29010000 | |
| 35810000 | |
| 36050000 |
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.