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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_800_URBANO_9

Overview

Valid: 74141
Invalid: 0
Type: Discrete
Start: 40
End: 64
Width: 25
Range: -
Format: character

Questions and instructions

Categories
Value Category Cases
ABANCAY 1231
1.7%
ACOBAMBA 204
0.3%
ACOMAYO 58
0.1%
ALTO AMAZONAS 192
0.3%
AMBO 73
0.1%
ANDAHUAYLAS 700
0.9%
ANGARAES 155
0.2%
ANTA 42
0.1%
AREQUIPA 2211
3%
ASCOPE 240
0.3%
ATALAYA 164
0.2%
AYABACA 40
0.1%
AYMARAES 59
0.1%
AZANGARO 150
0.2%
BAGUA 448
0.6%
BARRANCA 352
0.5%
BELLAVISTA 104
0.1%
BOLOGNESI 28
0%
BONGARA 134
0.2%
CAJABAMBA 43
0.1%
CAJAMARCA 1190
1.6%
CALCA 46
0.1%
CALLAO 5423
7.3%
CAMANA 115
0.2%
CANCHIS 205
0.3%
CANGALLO 67
0.1%
CANTA 20
0%
CARABAYA 65
0.1%
CARAVELI 81
0.1%
CARHUAZ 19
0%
CARLOS FERMIN FITZCARRALD 20
0%
CASMA 57
0.1%
CASTILLA 19
0%
CAYLLOMA 149
0.2%
CAÑETE 524
0.7%
CELENDIN 85
0.1%
CHACHAPOYAS 859
1.2%
CHANCHAMAYO 164
0.2%
CHEPEN 131
0.2%
CHICLAYO 2412
3.3%
CHINCHA 531
0.7%
CHINCHEROS 180
0.2%
CHOTA 118
0.2%
CHUCUITO 89
0.1%
CHUPACA 15
0%
CHURCAMPA 49
0.1%
CONCEPCION 85
0.1%
CONDORCANQUI 92
0.1%
CONTRALMIRANTE VILLAR 93
0.1%
CONTUMAZA 23
0%
CORONEL PORTILLO 1881
2.5%
COTABAMBAS 90
0.1%
CUSCO 1437
1.9%
CUTERVO 150
0.2%
DANIEL ALCIDES CARRION 215
0.3%
DATEM DEL MARAÑON 31
0%
DOS DE MAYO 47
0.1%
EL COLLAO 78
0.1%
EL DORADO 36
0%
ESPINAR 77
0.1%
FERREÑAFE 195
0.3%
HUALGAYOC 96
0.1%
HUALLAGA 41
0.1%
HUAMALIES 70
0.1%
HUAMANGA 2140
2.9%
HUANCA SANCOS 42
0.1%
HUANCANE 22
0%
HUANCAVELICA 1462
2%
HUANCAYO 1565
2.1%
HUANTA 253
0.3%
HUANUCO 1484
2%
HUARAL 341
0.5%
HUARAZ 1208
1.6%
HUARI 35
0%
HUARMEY 79
0.1%
HUAROCHIRI 65
0.1%
HUAURA 486
0.7%
HUAYLAS 38
0.1%
ICA 1417
1.9%
ILO 729
1%
ISLAY 142
0.2%
JAEN 532
0.7%
JAUJA 155
0.2%
JORGE BASADRE 219
0.3%
JULCAN 14
0%
JUNIN 33
0%
LA CONVENCION 234
0.3%
LA MAR 231
0.3%
LAMAS 120
0.2%
LAMBAYEQUE 279
0.4%
LAMPA 71
0.1%
LAURICOCHA 30
0%
LEONCIO PRADO 384
0.5%
LIMA 8626
11.6%
LORETO 75
0.1%
LUCANAS 129
0.2%
LUYA 82
0.1%
MANU 205
0.3%
MARAÑON 21
0%
MARISCAL CACERES 88
0.1%
MARISCAL NIETO 1326
1.8%
MARISCAL RAMON CASTILLA 63
0.1%
MAYNAS 2274
3.1%
MELGAR 61
0.1%
MOHO 14
0%
MORROPON 246
0.3%
MOYOBAMBA 1222
1.6%
NAZCA 130
0.2%
OTUZCO 69
0.1%
OXAPAMPA 261
0.4%
OYON 62
0.1%
PACASMAYO 221
0.3%
PACHITEA 40
0.1%
PADRE ABAD 322
0.4%
PAITA 235
0.3%
PALLASCA 32
0%
PALPA 24
0%
PARINACOCHAS 23
0%
PASCO 1648
2.2%
PATAZ 21
0%
PAUCAR DEL SARA SARA 12
0%
PAUCARTAMBO 34
0%
PICOTA 29
0%
PISCO 357
0.5%
PIURA 1681
2.3%
PUERTO INCA 27
0%
PUNO 819
1.1%
QUISPICANCHI 73
0.1%
REQUENA 110
0.1%
RIOJA 282
0.4%
RODRIGUEZ DE MENDOZA 54
0.1%
SAN ANTONIO DE PUTINA 140
0.2%
SAN IGNACIO 36
0%
SAN MARCOS 60
0.1%
SAN MARTIN 1413
1.9%
SAN MIGUEL 40
0.1%
SAN ROMAN 836
1.1%
SANCHEZ CARRION 121
0.2%
SANDIA 70
0.1%
SANTA 1431
1.9%
SANTA CRUZ 14
0%
SANTIAGO DE CHUCO 20
0%
SATIPO 127
0.2%
SECHURA 140
0.2%
SULLANA 480
0.6%
TACNA 1650
2.2%
TAHUAMANU 125
0.2%
TALARA 194
0.3%
TAMBOPATA 1876
2.5%
TARATA 129
0.2%
TARMA 231
0.3%
TAYACAJA 317
0.4%
TOCACHE 180
0.2%
TRUJILLO 2490
3.4%
TUMBES 1590
2.1%
UCAYALI 153
0.2%
URUBAMBA 93
0.1%
UTCUBAMBA 626
0.8%
VICTOR FAJARDO 79
0.1%
VIRU 95
0.1%
YAULI 79
0.1%
YUNGAY 46
0.1%
YUNGUYO 42
0.1%
ZARUMILLA 412
0.6%
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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