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    Home / Central Data Catalog / ENTERPRISE_SURVEYS / SLV_2006-2016_ES-P_V01_M / variable [F5]
enterprise_surveys

Enterprise Survey 2006-2010-2016, Panel Data

El Salvador, 2006 - 2016
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Reference ID
SLV_2006-2016_ES-P_v01_M
DOI
https://doi.org/10.48529/j0f7-mn33
Producer(s)
World Bank
Collection(s)
Enterprise Surveys
Metadata
Documentation in PDF DDI/XML JSON
Study website
Created on
May 12, 2017
Last modified
Sep 11, 2017
Page views
31754
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  • Study Description
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  • ElSalvador_2006_2010_2016

For The Most Recent Loan, What Was The Value At The Time Of Approval? (k11)

Data file: ElSalvador_2006_2010_2016

Overview

Valid: 994
Invalid: 778
Type: Discrete
Decimal: 0
Start: 2048
End: 2056
Width: 9
Range: -9 - 250000000
Format: Numeric

Questions and instructions

Literal question
Referring only to this most recent loan or line of credit, what was its value at the time of approval?
Categories
Value Category Cases
-9 Don't know (spontaneous) 34
3.4%
-8 Refusal (spontaneous) 91
9.2%
408 1
0.1%
500 1
0.1%
600 2
0.2%
950 1
0.1%
1000 3
0.3%
1300 2
0.2%
1500 2
0.2%
1700 1
0.1%
2000 5
0.5%
2500 2
0.2%
3000 6
0.6%
3200 1
0.1%
3500 3
0.3%
4000 7
0.7%
5000 17
1.7%
5500 1
0.1%
5700 1
0.1%
6000 10
1%
6500 2
0.2%
6700 1
0.1%
6800 1
0.1%
7000 5
0.5%
7500 2
0.2%
8000 6
0.6%
9000 4
0.4%
10000 14
1.4%
10200 1
0.1%
11000 3
0.3%
12000 7
0.7%
13000 1
0.1%
14000 4
0.4%
15000 16
1.6%
16000 4
0.4%
17000 2
0.2%
18000 2
0.2%
20000 24
2.4%
21000 1
0.1%
22000 1
0.1%
22600 1
0.1%
23000 3
0.3%
25000 18
1.8%
26000 2
0.2%
26088 1
0.1%
28000 3
0.3%
28500 1
0.1%
28600 1
0.1%
29000 2
0.2%
30000 17
1.7%
32000 1
0.1%
33000 2
0.2%
34000 1
0.1%
35000 12
1.2%
36000 3
0.3%
37000 1
0.1%
38000 2
0.2%
40000 20
2%
41000 1
0.1%
42000 2
0.2%
43000 1
0.1%
44950 1
0.1%
45000 8
0.8%
50000 32
3.2%
52000 1
0.1%
54000 1
0.1%
55000 1
0.1%
60000 24
2.4%
64000 1
0.1%
65000 5
0.5%
66000 1
0.1%
70000 6
0.6%
71000 1
0.1%
72000 2
0.2%
72913 1
0.1%
74000 2
0.2%
75000 7
0.7%
78000 1
0.1%
80000 12
1.2%
81000 1
0.1%
85000 1
0.1%
90000 8
0.8%
91000 1
0.1%
94000 2
0.2%
100000 36
3.6%
102000 1
0.1%
105000 1
0.1%
111000 1
0.1%
113000 1
0.1%
115000 1
0.1%
120000 6
0.6%
121600 1
0.1%
122000 1
0.1%
124000 1
0.1%
125000 3
0.3%
127000 1
0.1%
130000 4
0.4%
135000 2
0.2%
140000 5
0.5%
142000 1
0.1%
145000 1
0.1%
148571 1
0.1%
149000 1
0.1%
150000 29
2.9%
155000 1
0.1%
160000 1
0.1%
170000 2
0.2%
171000 1
0.1%
171428 1
0.1%
175000 6
0.6%
180000 9
0.9%
200000 37
3.7%
209470 1
0.1%
210000 2
0.2%
215000 1
0.1%
220000 1
0.1%
225000 3
0.3%
228000 1
0.1%
230000 3
0.3%
245000 1
0.1%
250000 11
1.1%
290000 2
0.2%
300000 29
2.9%
321532 1
0.1%
325000 1
0.1%
330000 1
0.1%
335000 1
0.1%
340000 1
0.1%
350000 7
0.7%
360000 1
0.1%
365000 1
0.1%
375000 1
0.1%
380000 2
0.2%
400000 16
1.6%
410000 1
0.1%
415000 1
0.1%
440000 1
0.1%
450000 2
0.2%
472000 1
0.1%
476000 1
0.1%
480000 1
0.1%
495000 1
0.1%
500000 34
3.4%
507000 1
0.1%
543200 1
0.1%
580000 1
0.1%
600000 8
0.8%
625000 2
0.2%
650000 1
0.1%
700000 7
0.7%
750000 5
0.5%
800000 6
0.6%
900000 4
0.4%
950000 2
0.2%
1000000 33
3.3%
1100000 1
0.1%
1180000 1
0.1%
1200000 10
1%
1250000 1
0.1%
1275000 1
0.1%
1300000 1
0.1%
1350000 1
0.1%
1400000 2
0.2%
1500000 12
1.2%
1510000 1
0.1%
1600000 2
0.2%
1700000 1
0.1%
1800000 2
0.2%
2000000 18
1.8%
2150000 1
0.1%
2200000 1
0.1%
2280000 1
0.1%
2500000 10
1%
2600000 2
0.2%
2650000 1
0.1%
2700000 1
0.1%
2800000 1
0.1%
2900000 1
0.1%
3000000 11
1.1%
3300000 1
0.1%
3500000 3
0.3%
3600000 2
0.2%
3740000 1
0.1%
4000000 6
0.6%
4100000 1
0.1%
4190000 1
0.1%
4500000 1
0.1%
5000000 3
0.3%
6000000 4
0.4%
6500000 1
0.1%
6700000 1
0.1%
7000000 1
0.1%
8000000 3
0.3%
9000000 1
0.1%
10000000 1
0.1%
12000000 2
0.2%
14000000 1
0.1%
15000000 2
0.2%
17000000 1
0.1%
18000000 1
0.1%
27000000 1
0.1%
30000000 2
0.2%
40000000 2
0.2%
50000000 1
0.1%
250000000 1
0.1%
Sysmiss 778
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
Value of the loan. This question refers to the original loan value, as it was specified in the credit agreement. Thus, the respondent should answer according to what was specified in the loan contract, not what happened in practice (e.g. if they paid off the loan early or later than the term of the loan).
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