Encuesta Nacional de Calidad de Vida 1997
Colombia, 1997
Get Microdata
Reference ID
COL_1997_ENCV_v01_M
Producer(s)
Dirección de Metodología y Producción Estadística - DIMPE
Created on
Dec 19, 2014
Last modified
Mar 29, 2019
Page views
115658
Downloads
3430
- Data files
- AGRO_REG2
- AGRO_REG3
- AGRO_REG4
- AGRO_REG5
- AGRO_REG6
- AGRO_REG7
- AGRO_REG8
- AGRO_REG9
- AGRO_REG10
- AGRO_REG11
- AGRO_REG12
- AGRO_REG13
- AGRO_REG14
- AGRO_REG15
- AGRO_REG16
- CONDICIO
- GASTOS1
- GASTOS2
- GASTOS3
- GASTOS4
- GASTOS5
- GASTOS6
- NEGOCIOS1
- NEGOCIOS2
- PERSONA
- PRECIOS1
- PRECIOS2
- REFORMA
- RURAL
- URBANA
- VIVIENDA
VALOR DE LOS INSUMOS (M4802)
Data file: AGRO_REG11
Overview
Valid:
1098
Invalid:
2116
Type:
Discrete
Decimal:
0
Start:
33
End:
40
Width:
8
Format:
Questions and instructions
Question pretext
Durante los ULTIMOS DOCE MESES, ¿el hogar compró insumos (abonos o fertilizantes, insecticidas, herbicidas, fungicidas, otros) para los cultivos?
1 Sí
2 No
0 Sin información
1 Sí
2 No
0 Sin información
Literal question
Valor de los insumos $_____________
Categories
| Value | Category |
|---|---|
| 1500 | |
| 2000 | |
| 2500 | |
| 3000 | |
| 3100 | |
| 3600 | |
| 4000 | |
| 4500 | |
| 5000 | |
| 5600 | |
| 6000 | |
| 7000 | |
| 7500 | |
| 8000 | |
| 8500 | |
| 9000 | |
| 10000 | |
| 10500 | |
| 11000 | |
| 12000 | |
| 12500 | |
| 12600 | |
| 12700 | |
| 13000 | |
| 14000 | |
| 14700 | |
| 15000 | |
| 15800 | |
| 16000 | |
| 16500 | |
| 17000 | |
| 18000 | |
| 18200 | |
| 18500 | |
| 19000 | |
| 19600 | |
| 20000 | |
| 21000 | |
| 21500 | |
| 22000 | |
| 22400 | |
| 23000 | |
| 24000 | |
| 25000 | |
| 26000 | |
| 27000 | |
| 27500 | |
| 28000 | |
| 30000 | |
| 30800 | |
| 32000 | |
| 32300 | |
| 32500 | |
| 33000 | |
| 34000 | |
| 35000 | |
| 36000 | |
| 36400 | |
| 37000 | |
| 38000 | |
| 39000 | |
| 40000 | |
| 42000 | |
| 43000 | |
| 44000 | |
| 45000 | |
| 46000 | |
| 48000 | |
| 50000 | |
| 51000 | |
| 52000 | |
| 52100 | |
| 52500 | |
| 53000 | |
| 54000 | |
| 55000 | |
| 56000 | |
| 57000 | |
| 58000 | |
| 58500 | |
| 60000 | |
| 60100 | |
| 60800 | |
| 62000 | |
| 62400 | |
| 63000 | |
| 64000 | |
| 64500 | |
| 65000 | |
| 65550 | |
| 66000 | |
| 67000 | |
| 68000 | |
| 70000 | |
| 72000 | |
| 72500 | |
| 74000 | |
| 75000 | |
| 76000 | |
| 78000 | |
| 79000 | |
| 80000 | |
| 82000 | |
| 84000 | |
| 85000 | |
| 87000 | |
| 90000 | |
| 91000 | |
| 92040 | |
| 94000 | |
| 95000 | |
| 98500 | |
| 100000 | |
| 101500 | |
| 102000 | |
| 102400 | |
| 104000 | |
| 105000 | |
| 108000 | |
| 108500 | |
| 110000 | |
| 114000 | |
| 114400 | |
| 115000 | |
| 115500 | |
| 116000 | |
| 119300 | |
| 120000 | |
| 122000 | |
| 122500 | |
| 123000 | |
| 125000 | |
| 126000 | |
| 128000 | |
| 130000 | |
| 133600 | |
| 134000 | |
| 134400 | |
| 136000 | |
| 136500 | |
| 140000 | |
| 140200 | |
| 142400 | |
| 144000 | |
| 145600 | |
| 150000 | |
| 152000 | |
| 160000 | |
| 162000 | |
| 164000 | |
| 166600 | |
| 168000 | |
| 170000 | |
| 172000 | |
| 175000 | |
| 176000 | |
| 180000 | |
| 181000 | |
| 182100 | |
| 190000 | |
| 191000 | |
| 192000 | |
| 194000 | |
| 198000 | |
| 200000 | |
| 203300 | |
| 204000 | |
| 207000 | |
| 209000 | |
| 210000 | |
| 211000 | |
| 215000 | |
| 216000 | |
| 218000 | |
| 219600 | |
| 220000 | |
| 222500 | |
| 225000 | |
| 230000 | |
| 231000 | |
| 232800 | |
| 240000 | |
| 248000 | |
| 250000 | |
| 252000 | |
| 255000 | |
| 260000 | |
| 262500 | |
| 264000 | |
| 270000 | |
| 272000 | |
| 280000 | |
| 280500 | |
| 282000 | |
| 299500 | |
| 300000 | |
| 301000 | |
| 302000 | |
| 306000 | |
| 310000 | |
| 315000 | |
| 320000 | |
| 325000 | |
| 330000 | |
| 332500 | |
| 335000 | |
| 336500 | |
| 340000 | |
| 346000 | |
| 350000 | |
| 360000 | |
| 380000 | |
| 390000 | |
| 392000 | |
| 400000 | |
| 402500 | |
| 408000 | |
| 408060 | |
| 430000 | |
| 432000 | |
| 435000 | |
| 450000 | |
| 454000 | |
| 455000 | |
| 458000 | |
| 462400 | |
| 465000 | |
| 468000 | |
| 469000 | |
| 476000 | |
| 486000 | |
| 494500 | |
| 500000 | |
| 510000 | |
| 519000 | |
| 520000 | |
| 525000 | |
| 534000 | |
| 537600 | |
| 540000 | |
| 550000 | |
| 555000 | |
| 568000 | |
| 580000 | |
| 585300 | |
| 590000 | |
| 600000 | |
| 614000 | |
| 650000 | |
| 651000 | |
| 653500 | |
| 660000 | |
| 670000 | |
| 680000 | |
| 681000 | |
| 693000 | |
| 697000 | |
| 700000 | |
| 708000 | |
| 720000 | |
| 727000 | |
| 750000 | |
| 753580 | |
| 800000 | |
| 850000 | |
| 890000 | |
| 898000 | |
| 900000 | |
| 950000 | |
| 983000 | |
| 1000000 | |
| 1020000 | |
| 1024000 | |
| 1080000 | |
| 1092000 | |
| 1128000 | |
| 1144000 | |
| 1200000 | |
| 1205000 | |
| 1261000 | |
| 1300000 | |
| 1320000 | |
| 1400000 | |
| 1440000 | |
| 1500000 | |
| 1600000 | |
| 1800000 | |
| 1828000 | |
| 1861200 | |
| 2000000 | |
| 2016000 | |
| 2040000 | |
| 2090000 | |
| 2160000 | |
| 2240000 | |
| 2500000 | |
| 2750000 | |
| 2800000 | |
| 2880000 | |
| 2892000 | |
| 2900000 | |
| 2960000 | |
| 3000000 | |
| 3300000 | |
| 3420000 | |
| 3500000 | |
| 3600000 | |
| 3700000 | |
| 3750000 | |
| 3840000 | |
| 4000000 | |
| 4100000 | |
| 4400000 | |
| 4474500 | |
| 4800000 | |
| 5000000 | |
| 5400000 | |
| 6000000 | |
| 6240000 | |
| 7000000 | |
| 8000000 | |
| 10000000 | |
| 23500000 | |
| 30000000 | |
| 50000000 | |
| 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.
Interviewer instructions
El objetivo es determinar el gasto efectuado por el hogar en los productos mencionados. Si la respuesta es afirmativa indague por el valor y regístrelo en el espacio correspondiente.
Question post text
Durante los ULTIMOS DOCE MESES, ¿el hogar compró empaques (costales, sacos, cajas, talegos) para los productos?
1 Sí
2 No
0 Sin información
1 Sí
2 No
0 Sin información
Description
Universe
El universo de estudio esta conformado por la población civil no institucional residente en todo el territorio nacional.
Va dirigida a todos los hogares.
Va dirigida a todos los hogares.
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.