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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
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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 estafa?_nombre (P602C_13_NOM)

Data file: CAP_600_URBANO_1

Overview

Valid: 4617
Invalid: 0
Type: Discrete
Start: 4264
End: 4288
Width: 25
Range: -
Format: character

Questions and instructions

Categories
Value Category Cases
ABANCAY 63
1.4%
ACOBAMBA 23
0.5%
ACOMAYO 4
0.1%
ALTO AMAZONAS 14
0.3%
AMBO 3
0.1%
ANDAHUAYLAS 17
0.4%
ANGARAES 27
0.6%
ANTA 5
0.1%
AREQUIPA 60
1.3%
ASCOPE 16
0.3%
ATALAYA 7
0.2%
AYABACA 2
0%
AYMARAES 1
0%
AZANGARO 2
0%
BAGUA 5
0.1%
BARRANCA 29
0.6%
BELLAVISTA 5
0.1%
BONGARA 3
0.1%
CAJABAMBA 2
0%
CAJAMARCA 30
0.6%
CALCA 5
0.1%
CALLAO 326
7.1%
CAMANA 7
0.2%
CANCHIS 29
0.6%
CANGALLO 2
0%
CARABAYA 2
0%
CARHUAZ 6
0.1%
CARLOS FERMIN FITZCARRALD 3
0.1%
CASMA 6
0.1%
CASTILLA 1
0%
CAYLLOMA 8
0.2%
CAÑETE 23
0.5%
CELENDIN 7
0.2%
CHACHAPOYAS 19
0.4%
CHANCHAMAYO 14
0.3%
CHEPEN 14
0.3%
CHICLAYO 18
0.4%
CHINCHA 25
0.5%
CHINCHEROS 3
0.1%
CHOTA 4
0.1%
CHUCUITO 8
0.2%
CHUPACA 2
0%
CHURCAMPA 8
0.2%
CONCEPCION 6
0.1%
CONDORCANQUI 1
0%
CONTUMAZA 1
0%
CORONEL PORTILLO 111
2.4%
COTABAMBAS 3
0.1%
CUSCO 169
3.7%
CUTERVO 5
0.1%
DANIEL ALCIDES CARRION 9
0.2%
DATEM DEL MARAÑON 2
0%
EL COLLAO 3
0.1%
EL DORADO 7
0.2%
ESPINAR 17
0.4%
FERREÑAFE 1
0%
HUALGAYOC 2
0%
HUALLAGA 1
0%
HUAMANGA 21
0.5%
HUANCA SANCOS 1
0%
HUANCAVELICA 154
3.3%
HUANCAYO 105
2.3%
HUANTA 2
0%
HUANUCO 19
0.4%
HUARAL 18
0.4%
HUARAZ 111
2.4%
HUARI 1
0%
HUARMEY 12
0.3%
HUAROCHIRI 1
0%
HUAURA 39
0.8%
HUAYLAS 6
0.1%
ICA 123
2.7%
ILO 15
0.3%
ISLAY 2
0%
JAEN 8
0.2%
JAUJA 10
0.2%
JORGE BASADRE 5
0.1%
JULCAN 2
0%
JUNIN 2
0%
LA CONVENCION 21
0.5%
LA MAR 4
0.1%
LAMAS 2
0%
LAMBAYEQUE 2
0%
LAMPA 2
0%
LEONCIO PRADO 4
0.1%
LIMA 850
18.4%
LORETO 3
0.1%
LUYA 1
0%
MANU 25
0.5%
MARISCAL CACERES 7
0.2%
MARISCAL NIETO 20
0.4%
MARISCAL RAMON CASTILLA 2
0%
MAYNAS 77
1.7%
MELGAR 6
0.1%
MORROPON 14
0.3%
MOYOBAMBA 74
1.6%
NAZCA 15
0.3%
OTUZCO 1
0%
OXAPAMPA 15
0.3%
OYON 3
0.1%
PACASMAYO 18
0.4%
PADRE ABAD 20
0.4%
PAITA 11
0.2%
PALLASCA 4
0.1%
PASCO 125
2.7%
PATAZ 2
0%
PAUCARTAMBO 2
0%
PISCO 21
0.5%
PIURA 155
3.4%
PUERTO INCA 2
0%
PUNO 27
0.6%
QUISPICANCHI 9
0.2%
REQUENA 2
0%
RIOJA 33
0.7%
RODRIGUEZ DE MENDOZA 3
0.1%
SAN ANTONIO DE PUTINA 2
0%
SAN MARCOS 4
0.1%
SAN MARTIN 70
1.5%
SAN MIGUEL 1
0%
SAN ROMAN 53
1.1%
SANCHEZ CARRION 12
0.3%
SANTA 210
4.5%
SATIPO 9
0.2%
SECHURA 8
0.2%
SULLANA 28
0.6%
TACNA 172
3.7%
TAHUAMANU 7
0.2%
TALARA 32
0.7%
TAMBOPATA 227
4.9%
TARATA 21
0.5%
TARMA 8
0.2%
TAYACAJA 25
0.5%
TOCACHE 16
0.3%
TRUJILLO 216
4.7%
TUMBES 14
0.3%
UCAYALI 3
0.1%
URUBAMBA 8
0.2%
UTCUBAMBA 15
0.3%
VIRU 8
0.2%
YAULI 1
0%
YUNGAY 6
0.1%
YUNGUYO 3
0.1%
ZARUMILLA 3
0.1%
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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