Enterprise Survey 2017
Colombia, 2017 - 2018
Get MicrodataCreated on
Mar 29, 2019
Last modified
Mar 29, 2019
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10203
- Data files
- colombia_2017_full_data.dta
For The Most Recent Loan, What Was The Value At The Time Of Approval? (k11)
Data file: colombia_2017_full_data.dta
Overview
Valid:
730
Invalid:
263
Minimum:
-9
Maximum:
5000000000000000
Type:
Discrete
Decimal:
0
Range:
-
Format:
Questions and instructions
Literal question
K. FINANCE
Referring only to this most recent line of credit or loan, what was its value at the time of approval? in Pesos
Referring only to this most recent line of credit or loan, what was its value at the time of approval? in Pesos
Categories
| Value | Category |
|---|---|
| -9 | Don't know (spontaneous) |
| -8 | Refusal (spontaneous) |
| 1000000 | |
| 4000000 | |
| 5000000 | |
| 7000000 | |
| 10000000 | |
| 12000000 | |
| 13000000 | |
| 15000000 | |
| 18000000 | |
| 20000000 | |
| 21000000 | |
| 24000000 | |
| 25000000 | |
| 28000000 | |
| 30000000 | |
| 32000000 | |
| 35000000 | |
| 36000000 | |
| 38000000 | |
| 40000000 | |
| 42000000 | |
| 45000000 | |
| 48000000 | |
| 50000000 | |
| 51000000 | |
| 55000000 | |
| 57000000 | |
| 60000000 | |
| 61000000 | |
| 70000000 | |
| 72000000 | |
| 73000000 | |
| 75000000 | |
| 77000000 | |
| 80000000 | |
| 90000000 | |
| 92000000 | |
| 95000000 | |
| 100000000 | |
| 106000000 | |
| 110000000 | |
| 120000000 | |
| 124000000 | |
| 130000000 | |
| 140000000 | |
| 142000000 | |
| 150000000 | |
| 156000000 | |
| 160000000 | |
| 165000000 | |
| 170000000 | |
| 180000000 | |
| 185000000 | |
| 188000000 | |
| 190000000 | |
| 200000000 | |
| 210000000 | |
| 220000000 | |
| 223000000 | |
| 230000000 | |
| 235000000 | |
| 246000000 | |
| 250000000 | |
| 257000000 | |
| 266000000 | |
| 270000000 | |
| 280000000 | |
| 290000000 | |
| 300000000 | |
| 312000000 | |
| 320000000 | |
| 330000000 | |
| 350000000 | |
| 360000000 | |
| 370000000 | |
| 380000000 | |
| 392000000 | |
| 400000000 | |
| 430000000 | |
| 449000000 | |
| 450000000 | |
| 460000000 | |
| 495000000 | |
| 500000000 | |
| 510000000 | |
| 550000000 | |
| 560000000 | |
| 600000000 | |
| 650000000 | |
| 670000000 | |
| 687000000 | |
| 700000000 | |
| 800000000 | |
| 900000000 | |
| 925000000 | |
| 1000000000 | |
| 1100000000 | |
| 1196000000 | |
| 1200000000 | |
| 1300000000 | |
| 1330000000 | |
| 1350000000 | |
| 1354000000 | |
| 1400000000 | |
| 1442000000 | |
| 1500000000 | |
| 1600000000 | |
| 1800000000 | |
| 1900000000 | |
| 2000000000 | |
| 2100000000 | |
| 2200000000 | |
| 2300000000 | |
| 2400000000 | |
| 2500000000 | |
| 2800000000 | |
| 2900000000 | |
| 3000000000 | |
| 3300000000 | |
| 3500000000 | |
| 3600000000 | |
| 3750000000 | |
| 3900000000 | |
| 4000000000 | |
| 5000000000 | |
| 5100000000 | |
| 5600000000 | |
| 5700000000 | |
| 6000000000 | |
| 6500000000 | |
| 7000000000 | |
| 8076000000 | |
| 9000000000 | |
| 10000000000 | |
| 11000000000 | |
| 12000000000 | |
| 13000000000 | |
| 14000000000 | |
| 15000000000 | |
| 16000000000 | |
| 19000000000 | |
| 19465000000 | |
| 20000000000 | |
| 22000000000 | |
| 30000000000 | |
| 31000000000 | |
| 32400000000 | |
| 35000000000 | |
| 40000000000 | |
| 75000000000 | |
| 80000000000 | |
| 90000000000 | |
| 100000000000 | |
| 110000000000 | |
| 300000000000 | |
| 15000000000000 | |
| 17000000000000 | |
| 23000000000000 | |
| 25000000000000 | |
| 40000000000000 | |
| 57000000000000 | |
| 70000000000000 | |
| 90000000000000 | |
| 100000000000000 | |
| 120000000000000 | |
| 130000000000000 | |
| 140000000000000 | |
| 200000000000000 | |
| 250000000000000 | |
| 300000000000000 | |
| 400000000000000 | |
| 500000000000000 | |
| 600000000000000 | |
| 800000000000000 | |
| 1000000000000000 | |
| 1400000000000000 | |
| 4000000000000000 | |
| 5000000000000000 | |
| NA |
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.