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    Home / Central Data Catalog / ENTERPRISE_SURVEYS / KHM_2012_ES_V01_M / variable [F1]
enterprise_surveys

Enterprise Survey 2012

Cambodia, 2012 - 2013
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Reference ID
KHM_2012_ES_v01_M
DOI
https://doi.org/10.48529/r30p-a029
Producer(s)
World Bank, Asian Development Bank
Collection(s)
Enterprise Surveys
Metadata
Documentation in PDF DDI/XML JSON
Study website
Created on
Feb 11, 2015
Last modified
Feb 11, 2015
Page views
52613
Downloads
28024
  • Study Description
  • Data Description
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  • Data files
  • cambodia_2013_full_data

q135_26. total cost of raw materials for each product sold is (q135_26)

Data file: cambodia_2013_full_data

Overview

Valid: 387
Invalid: 85
Type: Discrete
Decimal: 0
Start: 1159
End: 1169
Width: 11
Range: -9 - 20211014101
Format: Numeric

Questions and instructions

Question pretext
For the Fiscal Year 2011 [OR PREFERRED PERIOD IF NO RELIABLE INFORMATION IS AVAILABLE FOR 2011], please provide the following information about this establishment (in US$)
Literal question
Total cost of raw materials for each product sold is
Total
Categories
Value Category Cases
-9 dk 2
0.5%
-8 refuse 3
0.8%
-7 n/a 0
0%
0 3
0.8%
42 1
0.3%
60 1
0.3%
75 1
0.3%
77 1
0.3%
108 1
0.3%
120 1
0.3%
150 2
0.5%
160 1
0.3%
174 1
0.3%
185 1
0.3%
200 4
1%
210 1
0.3%
225 1
0.3%
248 1
0.3%
250 1
0.3%
260 1
0.3%
300 2
0.5%
351 1
0.3%
410 1
0.3%
430 1
0.3%
450 2
0.5%
500 2
0.5%
540 1
0.3%
575 1
0.3%
700 1
0.3%
738 1
0.3%
750 1
0.3%
800 1
0.3%
850 1
0.3%
880 1
0.3%
900 3
0.8%
932 1
0.3%
950 1
0.3%
1000 3
0.8%
1025 1
0.3%
1073 1
0.3%
1207 1
0.3%
1300 2
0.5%
1320 1
0.3%
1400 1
0.3%
1410 1
0.3%
1417.5 1
0.3%
1427 1
0.3%
1440 1
0.3%
1460 1
0.3%
1500 4
1%
1545 1
0.3%
1583 1
0.3%
1600 1
0.3%
1675 1
0.3%
1730 1
0.3%
1733 1
0.3%
1750 1
0.3%
1800 3
0.8%
1900 1
0.3%
2000 4
1%
2260 1
0.3%
2287.5 1
0.3%
2300 1
0.3%
2330 1
0.3%
2412 1
0.3%
2416 1
0.3%
2445 1
0.3%
2500 1
0.3%
2680 1
0.3%
2700 1
0.3%
2725 1
0.3%
2800 1
0.3%
2850 1
0.3%
2970 1
0.3%
3000 2
0.5%
3230 1
0.3%
3240 1
0.3%
3300 1
0.3%
3375 1
0.3%
3430 1
0.3%
3445 1
0.3%
3500 1
0.3%
3600 1
0.3%
3625 1
0.3%
3666 1
0.3%
3900 1
0.3%
4000 4
1%
4055 1
0.3%
4200 1
0.3%
4400 1
0.3%
4425 2
0.5%
4500 3
0.8%
4800 1
0.3%
4840 1
0.3%
4920 1
0.3%
5000 1
0.3%
5070 1
0.3%
5100 1
0.3%
5300 2
0.5%
5500 1
0.3%
5790 1
0.3%
5812 1
0.3%
6000 1
0.3%
6300 1
0.3%
6376 1
0.3%
6539 1
0.3%
6550 1
0.3%
6750 1
0.3%
7000 2
0.5%
7116 1
0.3%
7200 1
0.3%
7500 1
0.3%
7600 1
0.3%
7800 1
0.3%
8000 5
1.3%
8100 1
0.3%
8500 1
0.3%
8837 1
0.3%
9000 3
0.8%
9300 1
0.3%
9900 1
0.3%
10000 3
0.8%
10800 1
0.3%
10950 1
0.3%
11000 2
0.5%
11450 1
0.3%
11750 1
0.3%
12000 1
0.3%
12250 1
0.3%
13400 1
0.3%
14000 2
0.5%
14400 1
0.3%
15000 1
0.3%
15350 1
0.3%
15500 1
0.3%
15662 1
0.3%
15900 1
0.3%
16000 1
0.3%
16670 1
0.3%
16700 1
0.3%
17550 1
0.3%
18000 2
0.5%
18180 1
0.3%
18300 1
0.3%
18500 1
0.3%
18600 1
0.3%
19197 1
0.3%
19785 1
0.3%
20000 1
0.3%
20165 1
0.3%
20700 1
0.3%
21300 1
0.3%
21780 1
0.3%
22500 1
0.3%
23000 2
0.5%
24000 1
0.3%
24496 1
0.3%
25000 1
0.3%
25500 1
0.3%
25833 1
0.3%
26000 1
0.3%
27000 1
0.3%
28000 2
0.5%
28050 1
0.3%
28500 1
0.3%
29970 1
0.3%
33300 1
0.3%
33930 1
0.3%
34000 2
0.5%
35000 1
0.3%
37400 1
0.3%
38375 1
0.3%
38875 1
0.3%
39280 1
0.3%
40000 2
0.5%
40200 1
0.3%
41077 1
0.3%
43000 1
0.3%
44000 1
0.3%
45000 1
0.3%
45960 1
0.3%
48720 1
0.3%
50000 1
0.3%
53000 1
0.3%
56000 1
0.3%
60000 1
0.3%
60750 1
0.3%
61200 1
0.3%
61500 1
0.3%
66666 1
0.3%
67500 1
0.3%
68400 1
0.3%
69000 1
0.3%
70000 2
0.5%
72000 1
0.3%
74649 1
0.3%
77599 1
0.3%
82000 1
0.3%
84000 1
0.3%
84100 1
0.3%
84800 1
0.3%
85164 1
0.3%
87950 1
0.3%
89000 1
0.3%
90000 2
0.5%
94600 1
0.3%
95000 1
0.3%
102000 1
0.3%
104166 1
0.3%
110000 1
0.3%
110250 1
0.3%
112500 1
0.3%
115000 1
0.3%
117000 1
0.3%
120000 1
0.3%
124800 1
0.3%
126000 1
0.3%
135000 1
0.3%
136000 1
0.3%
150000 1
0.3%
153766 1
0.3%
160000 1
0.3%
160300 1
0.3%
170820 1
0.3%
173280 1
0.3%
183800 1
0.3%
193599 1
0.3%
195600 1
0.3%
200000 1
0.3%
200768 1
0.3%
202500 1
0.3%
203300 1
0.3%
213250 1
0.3%
230000 1
0.3%
234000 1
0.3%
240000 2
0.5%
251942 1
0.3%
257000 1
0.3%
259350 1
0.3%
275000 1
0.3%
280000 1
0.3%
285000 1
0.3%
300000 1
0.3%
310500 1
0.3%
322500 1
0.3%
326200 1
0.3%
360000 1
0.3%
363500 1
0.3%
375000 1
0.3%
380000 1
0.3%
400000 1
0.3%
420000 1
0.3%
448500 1
0.3%
450000 1
0.3%
451200 1
0.3%
471096 1
0.3%
500000 1
0.3%
504884 1
0.3%
506110 1
0.3%
515000 1
0.3%
520000 1
0.3%
543360 1
0.3%
582808 1
0.3%
583333 1
0.3%
587800 1
0.3%
600000 3
0.8%
618000 1
0.3%
687500 1
0.3%
700000 1
0.3%
793000 1
0.3%
800000 2
0.5%
823000 1
0.3%
824850 1
0.3%
825800 1
0.3%
840000 2
0.5%
850000 1
0.3%
852000 1
0.3%
900000 2
0.5%
910000 1
0.3%
1000000 1
0.3%
1010000 1
0.3%
1250000 1
0.3%
1257600 1
0.3%
1321250 1
0.3%
1350000 1
0.3%
1395000 1
0.3%
1400000 1
0.3%
1440000 1
0.3%
1565000 1
0.3%
1566000 1
0.3%
1580000 1
0.3%
1652700 1
0.3%
1653000 1
0.3%
1712000 1
0.3%
1800000 1
0.3%
1836160 1
0.3%
1981000 1
0.3%
2087500 1
0.3%
2275000 1
0.3%
2350000 1
0.3%
2500000 1
0.3%
2601982 1
0.3%
2700000 1
0.3%
2800000 1
0.3%
2900000 1
0.3%
3003000 1
0.3%
3200000 1
0.3%
3219166 1
0.3%
3453540 1
0.3%
3700000 1
0.3%
3825000 1
0.3%
3950000 1
0.3%
4677285 1
0.3%
5009100 1
0.3%
5370000 1
0.3%
6000000 3
0.8%
6200000 1
0.3%
6336000 1
0.3%
7000000 1
0.3%
7920000 1
0.3%
9000000 1
0.3%
11000000 1
0.3%
13500000 1
0.3%
19100000 1
0.3%
23000000 1
0.3%
23880000 1
0.3%
38767200 1
0.3%
46800000 1
0.3%
20211014101 1
0.3%
Sysmiss 85
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
1) Interviewer to record codes from the list of products / services

2) INTERVIEWER TO READ ALL RESULTS IN THE TABLE OUT LOUD ONE TIME TO RESPONDENT TO CONTROL MISTAKES

3) INTERVIEWER TO CALCULATE a, b, c, AND ASK d, e, f, g, h AND CONFIRM WITH RESPONDENT EACH RESULT

4) INTERVIEWER TO CALCULATE ADDED VALUE HERE: ___________________
Calculate the value added of the firm: (a+c)-(b+d+e+g+h) …………………….. $

5) RECALCULATE IF ADDED VALUE NEGATIVE. IF ADDED VALUE STILL NEGATIVE PLEASE PROCEED AS FOLLOWS:
1) Make sure all numbers refer to the same time period, same currency, same scales (thousands, hundreds…)
2) Confirm with respondent values and % of 136
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