Encuesta Nacional de Uso del Tiempo 2010
Peru, 2010
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Reference ID
PER_2010_ENUT_v01_M
Producer(s)
Instituto Nacional de Esatadística e Informática (INEI)
Created on
Oct 10, 2017
Last modified
Oct 10, 2017
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¿cuanto tiempo le dedico a.de lunes a viernes? _anot realiza (P502C_3_ANOT)
Data file: 05_capitulo_500
Overview
Valid:
1221
Invalid:
0
Type:
Discrete
Start:
1954
End:
1983
Width:
30
Format:
Questions and instructions
Literal question
502.C. ¿Cuánto tiempo le dedicó a matar y lavar animales, desgranar, tostar, moler, lavar granos, u otro tipo de preparación previa, de lunes a viernes, en horas y minutos?
Categories
| Value | Category |
|---|---|
| ( 10M +10M ) X 1D | |
| ( 1H + 2M ) X 1D | |
| ( 1H + 30M ) X 1D | |
| (10M + 10M) X 2D | |
| (10M + 10M) X 5D | |
| (10M + 1H) X 1D | |
| (10M + 20M) X 1D | |
| (15M + 20M) X 5D | |
| (1H + 15M) X 1D | |
| (1H + 15M) X 1D | |
| (1H + 20M) X 1D | |
| (1H + 30M ) X 5D | |
| (1H + 30M) X 1D | |
| (1H + 30M) X 2D | |
| (1H + 30M) X 2D + 1H X 1D | |
| (1H + 30M) X 3D | |
| (1H + 30M) X 4D | |
| (1H + 30M) X 5D | |
| (1H + 30M)X 1D | |
| (1H + 40M) X 1D | |
| (1H + 45M) X 1D | |
| (1H + 5M) X 1D | |
| (1H +15M ) X 1D | |
| (1H +3 0M) X 1D | |
| (1H +30M) X1D | |
| (1H X 1D) | |
| (1H X 20M) X 1D | |
| (20M X 1D) | |
| (2H + 10M) X 3D | |
| (2H + 30M) X 2D | |
| (2H + 30M) X 1D | |
| (2H + 30M) X 3D | |
| (2H + 30M) X1D | |
| (2H X 2D) | |
| (30M + 20M) X 1D | |
| (30M + 2H) X 1D | |
| (30M X 1D) | |
| (30M X 1D) + (1H X 1D) | |
| (30M X 1D) + (20M X 1D) | |
| (3H X 1D) + (2H X 1D) | |
| (4H + 20M) X 1D | |
| (4H + 30M) X 2D | |
| (5M + 15M) X 3D | |
| (5M + 2M) X 1D | |
| (5M + 5M + 5M) X 2D | |
| (5M +15M )X1D | |
| 10H X 2D | |
| 10M X 1D | |
| 10M X 1D + 10M X 1D | |
| 10M +30M X 1D | |
| 10M X 1D | |
| 10M X 1D + 20M X 3D | |
| 10M X 1D + 10M X 1D | |
| 10M X 1D + 1H X 1D | |
| 10M X 2D | |
| 10M X 2D + 1H X 3D | |
| 10M X 3D | |
| 10M X 3D + 10M X 3D | |
| 10M X 5D | |
| 10M X 5D + 10M X 5D + 10M X 5D | |
| 10M X 5D + 10M X 5D + 6M X 5D | |
| 10M X1D | |
| 10M X2D | |
| 15M X 1D | |
| 15M X 1D + 15M X 1D | |
| 15M X 1D + 30M X 1D | |
| 15M X 2D | |
| 15M X 3D | |
| 15M X 3D + 1H X 1 D | |
| 15M X 4D | |
| 15M X 5D | |
| 15M X1D | |
| 17M X 1D | |
| 19M X 1D | |
| 1H X 2D | |
| 1H + 30M X 1D | |
| 1H + 30M X 2D | |
| 1H X 1D | |
| 1H X 1D | |
| 1H X 1D + (1H + 30M) X 1D | |
| 1H X 1D + 15M X 1D | |
| 1H X 1D + 1H X 1D | |
| 1H X 1D + 20M X 1D | |
| 1H X 1D + 30M X 1D | |
| 1H X 1D +30M X 1D | |
| 1H X 2D | |
| 1H X 3D | |
| 1H X 4D | |
| 1H X 5D | |
| 1H X1D | |
| 1H X2D | |
| 1HX 1D | |
| 1HX 1D | |
| 1HX 3D | |
| 1M X 1D | |
| 1M X 3D | |
| 20 M X 1D | |
| 20M X 1D | |
| 20M X 1D | |
| 20M X 1D | |
| 20M X 1D+ 10M X 1D | |
| 20M X 2D | |
| 20M X 3D | |
| 20M X 4D | |
| 20M X 5D | |
| 20M X 5D + 2H X 2D | |
| 20MX 1D +10M X 1D | |
| 22M X 1D | |
| 25M X 1D | |
| 25M X 2D | |
| 2H X 1D | |
| 2H X 1D | |
| 2H X 1D + 30M X 1D | |
| 2H X 1D + 30M X 4D | |
| 2H X 1D3 | |
| 2H X 2D | |
| 2H X 3D | |
| 2H X 5D | |
| 2H X1D | |
| 2H X3D | |
| 2HX 1D | |
| 2M X 1D | |
| 2M X 2D | |
| 2M X 3D | |
| 2M X 5D | |
| 2M X1D | |
| 30 M X1D | |
| 30M X 1D | |
| 30M X 5D | |
| 30M X1D | |
| 30M X 1 D | |
| 30M X 1D | |
| 30M X 1D + 3M X 2D | |
| 30M X 1D +15M X 1D | |
| 30M X 2D | |
| 30M X 2D + 5M X 5D | |
| 30M X 3D | |
| 30M X 4D | |
| 30M X 5D | |
| 30M X1D | |
| 30M X2D | |
| 30M X5D | |
| 30MX 1D | |
| 30MX 1D | |
| 36M X 3D | |
| 3H X 1D | |
| 3H X 2D | |
| 3H X 3D | |
| 3M X 1D | |
| 3M X 2D | |
| 3M X 3D | |
| 3M X 5D | |
| 40M X 1D | |
| 40M X 1D + (1H + 30M) X 1D | |
| 40M X 1D + 30M X 1D | |
| 40M X 2D | |
| 40M X 3D | |
| 40M X1D | |
| 45M X 1 D | |
| 45M X 1D | |
| 45M X 1D +15M X 1D +15M X 1D | |
| 45M X 5D | |
| 4H X 1D | |
| 4M X 1D | |
| 4M X 5D | |
| 5H X 1D | |
| 5M + 30M X 1D | |
| 5M X 1D | |
| 5M X 1D + 10M X 2D | |
| 5M X 2D | |
| 5M X 3D | |
| 5M X 4D | |
| 5M X 5D | |
| 5M X 5D + 14M X 5D + 4M X 5D | |
| 5M X 5D + 30M X 1D | |
| 6H X 1D | |
| 6H X 5D | |
| 7H X 1D | |
| 8M X 2D | |
| 8M X 3D | |
| 9H X 1D |
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.
Description
Definition
Esta variable nos permite saber el tiempo en horas y minutos, que le dedicó el encuestado a realizar con horas o días de anticipación la preparación de alimentos como: matar y lavar animales, desgranar, tostar, moler, lavar granos, u otro tipo de preparación previa, de lunes a viernes.
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