Encuesta de Calidad de Vida de Bogotá 2007
Colombia, 2007
Get MicrodataCreated on
Sep 15, 2013
Last modified
Mar 29, 2019
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Valor de compra o construcción (D0602_VALOR_COMPRA_CONSTRUC)
Data file: Hogar
Overview
Valid:
1873
Invalid:
24998
Type:
Discrete
Decimal:
0
Start:
146
End:
154
Width:
9
Format:
Questions and instructions
Question pretext
Año de compra o construcción
Literal question
Valor $ ___________________________
Categories
| Value | Category |
|---|---|
| 99 | |
| 115000 | |
| 120000 | |
| 130000 | |
| 150000 | |
| 171000 | |
| 180000 | |
| 190000 | |
| 200000 | |
| 218000 | |
| 250000 | |
| 268000 | |
| 300000 | |
| 360000 | |
| 390000 | |
| 400000 | |
| 460000 | |
| 500000 | |
| 550000 | |
| 600000 | |
| 800000 | |
| 850000 | |
| 1000000 | |
| 1200000 | |
| 1500000 | |
| 1600000 | |
| 1800000 | |
| 2000000 | |
| 2100000 | |
| 2500000 | |
| 2670000 | |
| 2800000 | |
| 3000000 | |
| 3010000 | |
| 3080000 | |
| 3500000 | |
| 3800000 | |
| 4000000 | |
| 4500000 | |
| 4995000 | |
| 5000000 | |
| 5400000 | |
| 5500000 | |
| 5800000 | |
| 6000000 | |
| 6500000 | |
| 6800000 | |
| 7000000 | |
| 7200000 | |
| 7300000 | |
| 7533000 | |
| 7777722 | |
| 8000000 | |
| 8500000 | |
| 8800000 | |
| 8950000 | |
| 9000000 | |
| 9200000 | |
| 10000000 | |
| 10500000 | |
| 10800000 | |
| 11000000 | |
| 11500000 | |
| 12000000 | |
| 12500000 | |
| 13000000 | |
| 13500000 | |
| 14000000 | |
| 14500000 | |
| 14800000 | |
| 15000000 | |
| 15500000 | |
| 15566000 | |
| 16000000 | |
| 16532000 | |
| 16600000 | |
| 16700000 | |
| 16800000 | |
| 16900000 | |
| 17000000 | |
| 17500000 | |
| 17900000 | |
| 18000000 | |
| 18200000 | |
| 18500000 | |
| 18750000 | |
| 18900000 | |
| 19000000 | |
| 19075000 | |
| 19100000 | |
| 19170000 | |
| 19483000 | |
| 19900000 | |
| 19973000 | |
| 20000000 | |
| 20100000 | |
| 20220000 | |
| 20300000 | |
| 20500000 | |
| 20600000 | |
| 20800000 | |
| 20900000 | |
| 21000000 | |
| 21312000 | |
| 21500000 | |
| 21600000 | |
| 21650000 | |
| 21800000 | |
| 21900000 | |
| 22000000 | |
| 22200000 | |
| 22500000 | |
| 22600000 | |
| 22800000 | |
| 23000000 | |
| 23500000 | |
| 23532000 | |
| 23850000 | |
| 23900000 | |
| 24000000 | |
| 24300000 | |
| 24400000 | |
| 24500000 | |
| 24800000 | |
| 24900000 | |
| 24950000 | |
| 25000000 | |
| 25500000 | |
| 25600000 | |
| 26000000 | |
| 26600000 | |
| 26700000 | |
| 26705000 | |
| 27000000 | |
| 27500000 | |
| 27700000 | |
| 28000000 | |
| 28337000 | |
| 28400000 | |
| 28500000 | |
| 28900000 | |
| 29000000 | |
| 29000500 | |
| 29300000 | |
| 29400000 | |
| 29500000 | |
| 29600000 | |
| 29800000 | |
| 30000000 | |
| 30250000 | |
| 30450000 | |
| 31000000 | |
| 31300000 | |
| 31500000 | |
| 32000000 | |
| 32160000 | |
| 32600000 | |
| 32900000 | |
| 33000000 | |
| 33200000 | |
| 33500000 | |
| 33600000 | |
| 33700000 | |
| 33900000 | |
| 34000000 | |
| 34500000 | |
| 35000000 | |
| 35800000 | |
| 35900000 | |
| 36000000 | |
| 36018000 | |
| 36500000 | |
| 36750000 | |
| 37000000 | |
| 37500000 | |
| 37730000 | |
| 38000000 | |
| 38500000 | |
| 38800000 | |
| 38900000 | |
| 39000000 | |
| 39500000 | |
| 40000000 | |
| 41000000 | |
| 41600000 | |
| 42000000 | |
| 43000000 | |
| 43400000 | |
| 44000000 | |
| 45000000 | |
| 46000000 | |
| 46500000 | |
| 47000000 | |
| 47500000 | |
| 48000000 | |
| 48300000 | |
| 49000000 | |
| 50000000 | |
| 51000000 | |
| 52000000 | |
| 52400000 | |
| 53000000 | |
| 54000000 | |
| 55000000 | |
| 56000000 | |
| 57000000 | |
| 57500000 | |
| 58000000 | |
| 58500000 | |
| 59000000 | |
| 60000000 | |
| 62000000 | |
| 62780000 | |
| 63000000 | |
| 64000000 | |
| 64500000 | |
| 65000000 | |
| 66000000 | |
| 67000000 | |
| 67950000 | |
| 68000000 | |
| 68500000 | |
| 69000000 | |
| 70000000 | |
| 71000000 | |
| 72000000 | |
| 73000000 | |
| 74000000 | |
| 75000000 | |
| 75800000 | |
| 76000000 | |
| 77000000 | |
| 78000000 | |
| 78500000 | |
| 79000000 | |
| 80000000 | |
| 81000000 | |
| 81300000 | |
| 82000000 | |
| 83000000 | |
| 84000000 | |
| 85000000 | |
| 86000000 | |
| 87000000 | |
| 88000000 | |
| 89000000 | |
| 90000000 | |
| 91000000 | |
| 92000000 | |
| 93000000 | |
| 95000000 | |
| 96000000 | |
| 97000000 | |
| 98000000 | |
| 98500000 | |
| 100000000 | |
| 101000000 | |
| 103000000 | |
| 105000000 | |
| 106000000 | |
| 107000000 | |
| 108000000 | |
| 109000000 | |
| 110000000 | |
| 114000000 | |
| 115000000 | |
| 116000000 | |
| 117000000 | |
| 118000000 | |
| 118844000 | |
| 120000000 | |
| 121050000 | |
| 122000000 | |
| 123000000 | |
| 124000000 | |
| 125000000 | |
| 126000000 | |
| 127700000 | |
| 129000000 | |
| 130000000 | |
| 132000000 | |
| 132500000 | |
| 134000000 | |
| 134700000 | |
| 135000000 | |
| 136000000 | |
| 137000000 | |
| 138000000 | |
| 140000000 | |
| 142000000 | |
| 143000000 | |
| 144000000 | |
| 145000000 | |
| 147000000 | |
| 148000000 | |
| 150000000 | |
| 151000000 | |
| 152000000 | |
| 153000000 | |
| 154000000 | |
| 160000000 | |
| 163000000 | |
| 165000000 | |
| 168000000 | |
| 169000000 | |
| 170000000 | |
| 171000000 | |
| 172000000 | |
| 173000000 | |
| 175000000 | |
| 176000000 | |
| 177000000 | |
| 178000000 | |
| 180000000 | |
| 181000000 | |
| 185000000 | |
| 186000000 | |
| 187000000 | |
| 190000000 | |
| 195000000 | |
| 198000000 | |
| 200000000 | |
| 210000000 | |
| 215000000 | |
| 220000000 | |
| 227000000 | |
| 230000000 | |
| 240000000 | |
| 245000000 | |
| 247000000 | |
| 250000000 | |
| 255000000 | |
| 256000000 | |
| 260000000 | |
| 270000000 | |
| 275000000 | |
| 280000000 | |
| 285000000 | |
| 290000000 | |
| 300000000 | |
| 320000000 | |
| 330000000 | |
| 340000000 | |
| 350000000 | |
| 380000000 | |
| 400000000 | |
| 420000000 | |
| 450000000 | |
| 476000000 | |
| 480000000 | |
| 490000000 | |
| 500000000 | |
| 510000000 | |
| 520000000 | |
| 550000000 | |
| 580000000 | |
| 600000000 | |
| 630000000 | |
| 635000000 | |
| 680000000 | |
| 700000000 | |
| 800000000 | |
| 830000000 | |
| 860000000 | |
| 900000000 | |
| 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.
Question post text
¿Cuánto considera que vale esta vivienda? $__________________
Description
Universe
Esta constituido por la población civil en hogares no institucionales, residentes en las viviendas particulares de Bogotá D.C.
Este capítulo va dirigido a todos y cada uno de los hogares que están en la vivienda.
Este capítulo va dirigido a todos y cada uno de los hogares que están en la vivienda.
Others
Security
El acceso a microdatos y Mam-up se considera como de tratamiento especial respecto a la reserva estadística por tanto estará sujeto a la reglamentación que para el efecto defina el Comité de Aseguramiento de la reserva estadística. Resolución 173 de 2008.