Encuesta Nacional de Programas Presupuestales 2017
Peru, 2017
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Dec 05, 2019
Last modified
Dec 05, 2019
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¿EN QUÉ PROVINCIA SUCEDIÓ EL Amenazas e intimidaciones?_NOMBRE (P602C_7_NOM)
Data file: CAP_600_URBANO_7
Overview
Valid:
1599
Invalid:
0
Type:
Discrete
Start:
2340
End:
2362
Width:
23
Range:
-
Format:
character
Questions and instructions
Literal question
602C.7 ¿En qué departamento sucedió las Amenazas e intimidaciones? - Nombre Provincia
Categories
| Value | Category | Cases | |
|---|---|---|---|
| ABANCAY | 23 |
1.4%
|
|
| ACOBAMBA | 10 |
0.6%
|
|
| ALTO AMAZONAS | 4 |
0.3%
|
|
| ANDAHUAYLAS | 11 |
0.7%
|
|
| ANGARAES | 3 |
0.2%
|
|
| ANTA | 1 |
0.1%
|
|
| AREQUIPA | 42 |
2.6%
|
|
| ASCOPE | 2 |
0.1%
|
|
| ATALAYA | 7 |
0.4%
|
|
| AYABACA | 1 |
0.1%
|
|
| AZANGARO | 13 |
0.8%
|
|
| BAGUA | 11 |
0.7%
|
|
| BARRANCA | 6 |
0.4%
|
|
| BELLAVISTA | 2 |
0.1%
|
|
| BONGARA | 3 |
0.2%
|
|
| CAJABAMBA | 2 |
0.1%
|
|
| CAJAMARCA | 14 |
0.9%
|
|
| CALCA | 5 |
0.3%
|
|
| CALLAO | 90 |
5.6%
|
|
| CAMANA | 1 |
0.1%
|
|
| CANCHIS | 13 |
0.8%
|
|
| CARABAYA | 6 |
0.4%
|
|
| CASMA | 1 |
0.1%
|
|
| CAYLLOMA | 3 |
0.2%
|
|
| CAÑETE | 7 |
0.4%
|
|
| CELENDIN | 2 |
0.1%
|
|
| CHACHAPOYAS | 15 |
0.9%
|
|
| CHANCHAMAYO | 13 |
0.8%
|
|
| CHEPEN | 3 |
0.2%
|
|
| CHICLAYO | 23 |
1.4%
|
|
| CHINCHA | 5 |
0.3%
|
|
| CHINCHEROS | 4 |
0.3%
|
|
| CHOTA | 3 |
0.2%
|
|
| CHUCUITO | 4 |
0.3%
|
|
| CHURCAMPA | 6 |
0.4%
|
|
| CONDORCANQUI | 3 |
0.2%
|
|
| CONTRALMIRANTE VILLAR | 1 |
0.1%
|
|
| CONTUMAZA | 1 |
0.1%
|
|
| CORONEL PORTILLO | 27 |
1.7%
|
|
| COTABAMBAS | 1 |
0.1%
|
|
| CUSCO | 61 |
3.8%
|
|
| CUTERVO | 2 |
0.1%
|
|
| DANIEL ALCIDES CARRION | 4 |
0.3%
|
|
| EL COLLAO | 7 |
0.4%
|
|
| ESPINAR | 1 |
0.1%
|
|
| FERREÑAFE | 1 |
0.1%
|
|
| GRAN CHIMU | 1 |
0.1%
|
|
| HUALGAYOC | 2 |
0.1%
|
|
| HUAMALIES | 1 |
0.1%
|
|
| HUAMANGA | 60 |
3.8%
|
|
| HUANCA SANCOS | 2 |
0.1%
|
|
| HUANCABAMBA | 1 |
0.1%
|
|
| HUANCANE | 1 |
0.1%
|
|
| HUANCAVELICA | 27 |
1.7%
|
|
| HUANCAYO | 37 |
2.3%
|
|
| HUANTA | 7 |
0.4%
|
|
| HUANUCO | 21 |
1.3%
|
|
| HUARAL | 11 |
0.7%
|
|
| HUARAZ | 32 |
2%
|
|
| HUAROCHIRI | 3 |
0.2%
|
|
| HUAURA | 11 |
0.7%
|
|
| ICA | 18 |
1.1%
|
|
| ILO | 9 |
0.6%
|
|
| JAEN | 13 |
0.8%
|
|
| JAUJA | 5 |
0.3%
|
|
| JORGE BASADRE | 5 |
0.3%
|
|
| JULCAN | 1 |
0.1%
|
|
| JUNIN | 1 |
0.1%
|
|
| LA CONVENCION | 4 |
0.3%
|
|
| LA MAR | 5 |
0.3%
|
|
| LAMAS | 2 |
0.1%
|
|
| LAMBAYEQUE | 2 |
0.1%
|
|
| LAMPA | 4 |
0.3%
|
|
| LEONCIO PRADO | 6 |
0.4%
|
|
| LIMA | 143 |
8.9%
|
|
| LORETO | 3 |
0.2%
|
|
| LUCANAS | 10 |
0.6%
|
|
| LUYA | 3 |
0.2%
|
|
| MANU | 7 |
0.4%
|
|
| MARAÑON | 1 |
0.1%
|
|
| MARISCAL CACERES | 4 |
0.3%
|
|
| MARISCAL NIETO | 20 |
1.3%
|
|
| MARISCAL RAMON CASTILLA | 2 |
0.1%
|
|
| MAYNAS | 66 |
4.1%
|
|
| MELGAR | 2 |
0.1%
|
|
| MOHO | 3 |
0.2%
|
|
| MORROPON | 1 |
0.1%
|
|
| MOYOBAMBA | 20 |
1.3%
|
|
| NAZCA | 5 |
0.3%
|
|
| OTUZCO | 1 |
0.1%
|
|
| OXAPAMPA | 9 |
0.6%
|
|
| OYON | 1 |
0.1%
|
|
| PACHITEA | 1 |
0.1%
|
|
| PADRE ABAD | 9 |
0.6%
|
|
| PAITA | 1 |
0.1%
|
|
| PASCO | 26 |
1.6%
|
|
| PATAZ | 2 |
0.1%
|
|
| PAUCARTAMBO | 1 |
0.1%
|
|
| PISCO | 2 |
0.1%
|
|
| PIURA | 21 |
1.3%
|
|
| PUNO | 37 |
2.3%
|
|
| QUISPICANCHI | 3 |
0.2%
|
|
| REQUENA | 3 |
0.2%
|
|
| RIOJA | 3 |
0.2%
|
|
| RODRIGUEZ DE MENDOZA | 2 |
0.1%
|
|
| SAN ANTONIO DE PUTINA | 6 |
0.4%
|
|
| SAN MARTIN | 36 |
2.3%
|
|
| SAN MIGUEL | 1 |
0.1%
|
|
| SAN ROMAN | 35 |
2.2%
|
|
| SANCHEZ CARRION | 9 |
0.6%
|
|
| SANDIA | 11 |
0.7%
|
|
| SANTA | 25 |
1.6%
|
|
| SATIPO | 3 |
0.2%
|
|
| SECHURA | 1 |
0.1%
|
|
| SULLANA | 10 |
0.6%
|
|
| TACNA | 83 |
5.2%
|
|
| TAHUAMANU | 3 |
0.2%
|
|
| TALARA | 2 |
0.1%
|
|
| TAMBOPATA | 44 |
2.8%
|
|
| TARATA | 7 |
0.4%
|
|
| TARMA | 7 |
0.4%
|
|
| TAYACAJA | 7 |
0.4%
|
|
| TOCACHE | 4 |
0.3%
|
|
| TRUJILLO | 52 |
3.3%
|
|
| TUMBES | 36 |
2.3%
|
|
| URUBAMBA | 3 |
0.2%
|
|
| UTCUBAMBA | 19 |
1.2%
|
|
| VICTOR FAJARDO | 2 |
0.1%
|
|
| VIRU | 3 |
0.2%
|
|
| YAULI | 2 |
0.1%
|
|
| YUNGAY | 4 |
0.3%
|
|
| YUNGUYO | 1 |
0.1%
|
|
| ZARUMILLA | 11 |
0.7%
|
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 permite conocer el nombre de la provincia en que sucedió las amenazas e intimidaciones.
Universe
Comprende las viviendas particulares y sus ocupantes residentes habituales del área urbana y área rural del país.
No forman parte del estudio las personas que residen en viviendas colectivas (hospitales, hoteles, asilos, claustros religiosos, cuarteles, cárceles, etc.).
No forman parte del estudio las personas que residen en viviendas colectivas (hospitales, hoteles, asilos, claustros religiosos, cuarteles, cárceles, etc.).
Source of information
Corresponde tomar información de esta pregunta a todos los residentes habituales del hogar de 14 y más años de edad.