Enterprise Survey 2003-2006-2010-2017
Ecuador, 2003 - 2017
Get MicrodataCreated on
Sep 19, 2018
Last modified
Sep 19, 2018
Page views
22433
Downloads
95
- Data files
- Ecuador_2003_2006_2010_2017
net fixed assets $ in 2002 (_2003_s134_16)
Data file: Ecuador_2003_2006_2010_2017
Overview
Valid:
298
Invalid:
1540
Type:
Discrete
Decimal:
0
Start:
4764
End:
4772
Width:
9
Range:
-
Format:
Questions and instructions
Literal question
Por favor, provea la siguiente información sobre los balances de su fábrica:
- Activo Fijo Neto (valor en libros: valor de compra menos depreciación)
- Activo Fijo Neto (valor en libros: valor de compra menos depreciación)
Categories
| Value | Category |
|---|---|
| -999 | No responde |
| -777 | No aplica |
| -666 | No sabe |
| 0 | |
| 1000 | |
| 2000 | |
| 2100 | |
| 3000 | |
| 5000 | |
| 6000 | |
| 7000 | |
| 8000 | |
| 10000 | |
| 12000 | |
| 13000 | |
| 14000 | |
| 15000 | |
| 16000 | |
| 17000 | |
| 19000 | |
| 20000 | |
| 21000 | |
| 23000 | |
| 24000 | |
| 25000 | |
| 26000 | |
| 28000 | |
| 30000 | |
| 32000 | |
| 33000 | |
| 35000 | |
| 38000 | |
| 40000 | |
| 42000 | |
| 43000 | |
| 44000 | |
| 45000 | |
| 47000 | |
| 50000 | |
| 52000 | |
| 53000 | |
| 54000 | |
| 55000 | |
| 58000 | |
| 59000 | |
| 60000 | |
| 63000 | |
| 64000 | |
| 67000 | |
| 70000 | |
| 71000 | |
| 72000 | |
| 73000 | |
| 76000 | |
| 77000 | |
| 79000 | |
| 80000 | |
| 82000 | |
| 90000 | |
| 100000 | |
| 102000 | |
| 107000 | |
| 114000 | |
| 116000 | |
| 120000 | |
| 122000 | |
| 124000 | |
| 125000 | |
| 130000 | |
| 132000 | |
| 140000 | |
| 150000 | |
| 155000 | |
| 160000 | |
| 163000 | |
| 164000 | |
| 167000 | |
| 175000 | |
| 180000 | |
| 185000 | |
| 194000 | |
| 198000 | |
| 200000 | |
| 203000 | |
| 204000 | |
| 206000 | |
| 209000 | |
| 212000 | |
| 220000 | |
| 222000 | |
| 224000 | |
| 230000 | |
| 235000 | |
| 237000 | |
| 238000 | |
| 250000 | |
| 256000 | |
| 261000 | |
| 268000 | |
| 275000 | |
| 281000 | |
| 286000 | |
| 300000 | |
| 304000 | |
| 320000 | |
| 328000 | |
| 340000 | |
| 341000 | |
| 343000 | |
| 348000 | |
| 350000 | |
| 380000 | |
| 400000 | |
| 412000 | |
| 423000 | |
| 440000 | |
| 460000 | |
| 467000 | |
| 470000 | |
| 479000 | |
| 488000 | |
| 500000 | |
| 509000 | |
| 552000 | |
| 567000 | |
| 580000 | |
| 600000 | |
| 605000 | |
| 620000 | |
| 625000 | |
| 630000 | |
| 638000 | |
| 648000 | |
| 684000 | |
| 700000 | |
| 719000 | |
| 730000 | |
| 784000 | |
| 785000 | |
| 825000 | |
| 850000 | |
| 855000 | |
| 881000 | |
| 900000 | |
| 930000 | |
| 949000 | |
| 960000 | |
| 967000 | |
| 1000000 | |
| 1023000 | |
| 1061000 | |
| 1165000 | |
| 1200000 | |
| 1206000 | |
| 1242000 | |
| 1271000 | |
| 1317000 | |
| 1400000 | |
| 1458000 | |
| 1500000 | |
| 1600000 | |
| 1656000 | |
| 1700000 | |
| 1712000 | |
| 1721000 | |
| 1796000 | |
| 1800000 | |
| 1893000 | |
| 1939000 | |
| 2000000 | |
| 2099000 | |
| 2125000 | |
| 2160000 | |
| 2200000 | |
| 2300000 | |
| 2700000 | |
| 2792000 | |
| 3000000 | |
| 3260000 | |
| 3298000 | |
| 3400000 | |
| 3407000 | |
| 3588000 | |
| 3600000 | |
| 3650000 | |
| 3929000 | |
| 4035000 | |
| 5000000 | |
| 5120000 | |
| 5500000 | |
| 5528000 | |
| 6000000 | |
| 6300000 | |
| 6388000 | |
| 6802000 | |
| 8100000 | |
| 8300000 | |
| 8500000 | |
| 9359000 | |
| 9500000 | |
| 9960000 | |
| 11013000 | |
| 11500000 | |
| 14000000 | |
| 15000000 | |
| 15671000 | |
| 19000000 | |
| 20000000 | |
| 21000000 | |
| 27000000 | |
| 30000000 | |
| 43200000 | |
| 58500000 | |
| 122000000 | |
| 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.