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Encuesta Nacional de Programas Presupuestales 2017

Peru, 2017
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Reference ID
PER_2017_ENAPRES_v01_M
Producer(s)
Instituto Nacional de Estadística e Informática, Dirección Técnica de Demografía e Indicadores Sociales
Metadata
DDI/XML JSON
Created on
Dec 05, 2019
Last modified
Dec 05, 2019
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Nombre de la Provincia (nombrepp)

Data file: CAP_800A_URBANO_RURAL_10

Overview

Valid: 42273
Invalid: 0
Type: Discrete
Start: 40
End: 64
Width: 25
Range: -
Format: character

Questions and instructions

Categories
Value Category Cases
ABANCAY 535
1.3%
ACOBAMBA 158
0.4%
ACOMAYO 24
0.1%
AIJA 15
0%
ALTO AMAZONAS 163
0.4%
AMBO 54
0.1%
ANDAHUAYLAS 514
1.2%
ANGARAES 119
0.3%
ANTA 63
0.1%
ANTONIO RAYMONDI 16
0%
AREQUIPA 861
2%
ASCOPE 95
0.2%
ASUNCION 45
0.1%
ATALAYA 229
0.5%
AYABACA 215
0.5%
AYMARAES 118
0.3%
AZANGARO 171
0.4%
BAGUA 268
0.6%
BARRANCA 181
0.4%
BELLAVISTA 87
0.2%
BOLIVAR 16
0%
BOLOGNESI 56
0.1%
BONGARA 86
0.2%
CAJABAMBA 46
0.1%
CAJAMARCA 621
1.5%
CALCA 69
0.2%
CALLAO 1861
4.4%
CAMANA 112
0.3%
CANAS 16
0%
CANCHIS 164
0.4%
CANDARAVE 89
0.2%
CANGALLO 119
0.3%
CANTA 58
0.1%
CARABAYA 78
0.2%
CARAVELI 96
0.2%
CARHUAZ 38
0.1%
CARLOS FERMIN FITZCARRALD 21
0%
CASMA 32
0.1%
CASTILLA 118
0.3%
CASTROVIRREYNA 80
0.2%
CAYLLOMA 207
0.5%
CAÑETE 363
0.9%
CELENDIN 90
0.2%
CHACHAPOYAS 413
1%
CHANCHAMAYO 96
0.2%
CHEPEN 79
0.2%
CHICLAYO 979
2.3%
CHINCHA 280
0.7%
CHINCHEROS 157
0.4%
CHOTA 138
0.3%
CHUCUITO 107
0.3%
CHUMBIVILCAS 94
0.2%
CHUPACA 56
0.1%
CHURCAMPA 87
0.2%
CONCEPCION 112
0.3%
CONDESUYOS 63
0.1%
CONDORCANQUI 109
0.3%
CONTRALMIRANTE VILLAR 138
0.3%
CONTUMAZA 8
0%
CORONEL PORTILLO 909
2.2%
CORONGO 15
0%
COTABAMBAS 98
0.2%
CUSCO 539
1.3%
CUTERVO 66
0.2%
DANIEL ALCIDES CARRION 215
0.5%
DATEM DEL MARAÑON 39
0.1%
DOS DE MAYO 81
0.2%
EL COLLAO 99
0.2%
EL DORADO 67
0.2%
ESPINAR 97
0.2%
FERREÑAFE 129
0.3%
GENERAL SANCHEZ CERRO 362
0.9%
GRAN CHIMU 32
0.1%
GRAU 46
0.1%
HUACAYBAMBA 29
0.1%
HUALGAYOC 132
0.3%
HUALLAGA 47
0.1%
HUAMALIES 90
0.2%
HUAMANGA 906
2.1%
HUANCA SANCOS 40
0.1%
HUANCABAMBA 143
0.3%
HUANCANE 55
0.1%
HUANCAVELICA 709
1.7%
HUANCAYO 728
1.7%
HUANTA 207
0.5%
HUANUCO 766
1.8%
HUARAL 254
0.6%
HUARAZ 492
1.2%
HUARI 77
0.2%
HUARMEY 48
0.1%
HUAROCHIRI 71
0.2%
HUAURA 227
0.5%
HUAYLAS 43
0.1%
HUAYTARA 46
0.1%
ICA 742
1.8%
ILO 292
0.7%
ISLAY 87
0.2%
JAEN 272
0.6%
JAUJA 175
0.4%
JORGE BASADRE 201
0.5%
JULCAN 64
0.2%
JUNIN 62
0.1%
LA CONVENCION 229
0.5%
LA MAR 205
0.5%
LA UNION 112
0.3%
LAMAS 143
0.3%
LAMBAYEQUE 425
1%
LAMPA 32
0.1%
LAURICOCHA 80
0.2%
LEONCIO PRADO 269
0.6%
LIMA 2967
7%
LORETO 104
0.2%
LUCANAS 150
0.4%
LUYA 189
0.4%
MANU 253
0.6%
MARAÑON 21
0%
MARISCAL CACERES 93
0.2%
MARISCAL LUZURIAGA 16
0%
MARISCAL NIETO 760
1.8%
MARISCAL RAMON CASTILLA 104
0.2%
MAYNAS 995
2.4%
MELGAR 60
0.1%
MOHO 69
0.2%
MORROPON 219
0.5%
MOYOBAMBA 589
1.4%
NAZCA 165
0.4%
OTUZCO 119
0.3%
OXAPAMPA 393
0.9%
OYON 45
0.1%
PACASMAYO 95
0.2%
PACHITEA 60
0.1%
PADRE ABAD 313
0.7%
PAITA 78
0.2%
PALLASCA 63
0.1%
PALPA 55
0.1%
PARINACOCHAS 62
0.1%
PARURO 48
0.1%
PASCO 843
2%
PATAZ 81
0.2%
PAUCAR DEL SARA SARA 24
0.1%
PAUCARTAMBO 80
0.2%
PICOTA 56
0.1%
PISCO 253
0.6%
PIURA 705
1.7%
POMABAMBA 30
0.1%
PUERTO INCA 43
0.1%
PUNO 421
1%
PURUS 32
0.1%
QUISPICANCHI 104
0.2%
RECUAY 13
0%
REQUENA 114
0.3%
RIOJA 168
0.4%
RODRIGUEZ DE MENDOZA 101
0.2%
SAN ANTONIO DE PUTINA 92
0.2%
SAN IGNACIO 48
0.1%
SAN MARCOS 70
0.2%
SAN MARTIN 538
1.3%
SAN MIGUEL 60
0.1%
SAN PABLO 16
0%
SAN ROMAN 359
0.8%
SANCHEZ CARRION 213
0.5%
SANDIA 56
0.1%
SANTA 513
1.2%
SANTA CRUZ 39
0.1%
SANTIAGO DE CHUCO 52
0.1%
SATIPO 198
0.5%
SECHURA 45
0.1%
SIHUAS 16
0%
SULLANA 213
0.5%
TACNA 788
1.9%
TAHUAMANU 184
0.4%
TALARA 96
0.2%
TAMBOPATA 1048
2.5%
TARATA 122
0.3%
TARMA 159
0.4%
TAYACAJA 285
0.7%
TOCACHE 131
0.3%
TRUJILLO 870
2.1%
TUMBES 851
2%
UCAYALI 133
0.3%
URUBAMBA 85
0.2%
UTCUBAMBA 455
1.1%
VICTOR FAJARDO 86
0.2%
VILCAS HUAMAN 64
0.2%
VIRU 49
0.1%
YAROWILCA 60
0.1%
YAULI 39
0.1%
YAUYOS 78
0.2%
YUNGAY 78
0.2%
YUNGUYO 61
0.1%
ZARUMILLA 293
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.
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