Encuesta Nacional de Programas Presupuestales 2016
Peru, 2016 - 2017
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Dec 05, 2019
Last modified
Dec 05, 2019
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¿en quÉ departamento sucedio el otro?_dirección de la vivienda_nombre (P602B_15_NOM)
Data file: CAP_600_URBANO_1
Overview
Valid:
309
Invalid:
0
Type:
Discrete
Start:
4837
End:
4849
Width:
13
Range:
-
Format:
character
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| AMAZONAS | 14 |
4.5%
|
|
| ANCASH | 27 |
8.7%
|
|
| APURIMAC | 6 |
1.9%
|
|
| AREQUIPA | 4 |
1.3%
|
|
| AYACUCHO | 2 |
0.6%
|
|
| CAJAMARCA | 18 |
5.8%
|
|
| CALLAO | 11 |
3.6%
|
|
| CUSCO | 12 |
3.9%
|
|
| HUANCAVELICA | 9 |
2.9%
|
|
| HUANUCO | 7 |
2.3%
|
|
| ICA | 3 |
1%
|
|
| JUNIN | 16 |
5.2%
|
|
| LA LIBERTAD | 15 |
4.9%
|
|
| LAMBAYEQUE | 9 |
2.9%
|
|
| LIMA | 42 |
13.6%
|
|
| LORETO | 14 |
4.5%
|
|
| MADRE DE DIOS | 8 |
2.6%
|
|
| MOQUEGUA | 2 |
0.6%
|
|
| PASCO | 15 |
4.9%
|
|
| PIURA | 14 |
4.5%
|
|
| PUNO | 3 |
1%
|
|
| SAN MARTIN | 17 |
5.5%
|
|
| TACNA | 23 |
7.4%
|
|
| TUMBES | 6 |
1.9%
|
|
| UCAYALI | 12 |
3.9%
|
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 no está considerado en el cuestionario de la Encuesta Nacional de Programas Presupuestales 2016.