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    Home / Central Data Catalog / PER_2016_ENAPRES_V01_M / variable [F18]
central

Encuesta Nacional de Programas Presupuestales 2016

Peru, 2016 - 2017
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Reference ID
PER_2016_ENAPRES_v01_M
Producer(s)
Instituto Nacional de Estadística e Informática (INEI), Dirección Nacional de Censos y Encuestas (DNCE)
Metadata
DDI/XML JSON
Created on
Dec 05, 2019
Last modified
Dec 05, 2019
Page views
72020
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  • Study Description
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  • CAP_100_URBANO_RURAL_1
  • CAP_100AB_URBANO_RURAL_1
  • CAP_200_URBANO_RURAL_1
  • CAP_200A_URBANO_RURAL_1
  • CAP_300_URBANO_RURAL_1
  • CAP_500_URBANO_RURAL_1
  • CAP_600_URBANO_1
  • CAP_700_URBANO_RURAL_1
  • CAP_800_URBANO_1
  • CAP_800A_URBANO_RURAL_1
  • CAP_900_URBANO_1
  • CAP_1000_URBANO_1

¿en quÉ provincia sucedio el amenazas e intimidaciones?_nombre (P602C_7_NOM)

Data file: CAP_600_URBANO_1

Overview

Valid: 1604
Invalid: 0
Type: Discrete
Start: 2598
End: 2620
Width: 23
Range: -
Format: character

Questions and instructions

Categories
Value Category Cases
ABANCAY 45
2.8%
ACOBAMBA 5
0.3%
AIJA 1
0.1%
ALTO AMAZONAS 6
0.4%
ANDAHUAYLAS 14
0.9%
ANGARAES 5
0.3%
AREQUIPA 50
3.1%
ASCOPE 2
0.1%
ATALAYA 4
0.2%
AZANGARO 3
0.2%
BAGUA 9
0.6%
BARRANCA 4
0.2%
BONGARA 1
0.1%
CAJABAMBA 1
0.1%
CAJAMARCA 20
1.2%
CALCA 2
0.1%
CALLAO 75
4.7%
CAMANA 3
0.2%
CANCHIS 4
0.2%
CANGALLO 1
0.1%
CARAVELI 1
0.1%
CARHUAZ 1
0.1%
CASMA 1
0.1%
CAYLLOMA 3
0.2%
CAÑETE 10
0.6%
CHACHAPOYAS 20
1.2%
CHANCHAMAYO 3
0.2%
CHEPEN 4
0.2%
CHICLAYO 25
1.6%
CHINCHA 7
0.4%
CHINCHEROS 1
0.1%
CHOTA 4
0.2%
CHUCUITO 8
0.5%
CHURCAMPA 1
0.1%
CONTRALMIRANTE VILLAR 1
0.1%
CORONEL PORTILLO 48
3%
COTABAMBAS 4
0.2%
CUSCO 71
4.4%
CUTERVO 2
0.1%
DANIEL ALCIDES CARRION 6
0.4%
EL COLLAO 5
0.3%
EL DORADO 2
0.1%
ESPINAR 8
0.5%
FERREÑAFE 2
0.1%
HUALGAYOC 1
0.1%
HUAMALIES 2
0.1%
HUAMANGA 61
3.8%
HUANCA SANCOS 7
0.4%
HUANCANE 1
0.1%
HUANCAVELICA 29
1.8%
HUANCAYO 32
2%
HUANTA 7
0.4%
HUANUCO 27
1.7%
HUARAL 2
0.1%
HUARAZ 27
1.7%
HUARI 4
0.2%
HUARMEY 1
0.1%
HUAROCHIRI 2
0.1%
HUAURA 2
0.1%
ICA 16
1%
ILO 10
0.6%
ISLAY 5
0.3%
JAEN 14
0.9%
JAUJA 3
0.2%
JORGE BASADRE 8
0.5%
JULCAN 1
0.1%
JUNIN 2
0.1%
LA CONVENCION 9
0.6%
LA MAR 4
0.2%
LAMAS 1
0.1%
LAMBAYEQUE 1
0.1%
LEONCIO PRADO 2
0.1%
LIMA 104
6.5%
LUCANAS 5
0.3%
MANU 14
0.9%
MARAÑON 1
0.1%
MARISCAL CACERES 2
0.1%
MARISCAL NIETO 29
1.8%
MARISCAL RAMON CASTILLA 2
0.1%
MAYNAS 75
4.7%
MELGAR 1
0.1%
MORROPON 2
0.1%
MOYOBAMBA 21
1.3%
NAZCA 4
0.2%
OTUZCO 2
0.1%
OXAPAMPA 8
0.5%
PACASMAYO 3
0.2%
PACHITEA 1
0.1%
PADRE ABAD 9
0.6%
PAITA 9
0.6%
PARINACOCHAS 1
0.1%
PASCO 41
2.6%
PATAZ 1
0.1%
PAUCARTAMBO 3
0.2%
PICOTA 1
0.1%
PISCO 5
0.3%
PIURA 41
2.6%
PUNO 12
0.7%
QUISPICANCHI 7
0.4%
REQUENA 4
0.2%
RIOJA 2
0.1%
RODRIGUEZ DE MENDOZA 1
0.1%
SAN ANTONIO DE PUTINA 3
0.2%
SAN MARCOS 1
0.1%
SAN MARTIN 28
1.7%
SAN MIGUEL 1
0.1%
SAN ROMAN 19
1.2%
SANCHEZ CARRION 3
0.2%
SANTA 35
2.2%
SANTIAGO DE CHUCO 1
0.1%
SATIPO 1
0.1%
SECHURA 2
0.1%
SULLANA 7
0.4%
TACNA 73
4.6%
TAHUAMANU 5
0.3%
TALARA 3
0.2%
TAMBOPATA 82
5.1%
TARATA 10
0.6%
TARMA 7
0.4%
TAYACAJA 5
0.3%
TOCACHE 4
0.2%
TRUJILLO 57
3.6%
TUMBES 29
1.8%
UCAYALI 3
0.2%
URUBAMBA 3
0.2%
UTCUBAMBA 14
0.9%
VICTOR FAJARDO 5
0.3%
VIRU 1
0.1%
YAULI 2
0.1%
YUNGAY 1
0.1%
YUNGUYO 2
0.1%
ZARUMILLA 12
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 no está considerado en el cuestionario de la Encuesta Nacional de Programas Presupuestales 2016.
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