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Encuesta Nacional Agropecuaria 2017

Peru, 2017
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Reference ID
PER_2017_ENA_v01_M
Producer(s)
Instituto Nacional de Estadística e Informática, Dirección Nacional de Censos y Encuestas
Metadata
DDI/XML JSON
Created on
Jan 16, 2021
Last modified
Jan 16, 2021
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Nombre de la provincia (NOMBREPV)

Data file: 01_Cap100_1

Overview

Valid: 29610
Invalid: 0
Type: Discrete
Start: 22
End: 46
Width: 25
Range: -
Format: character

Questions and instructions

Literal question
2. Provincia
Categories
Value Category Cases
ABANCAY 169
0.6%
ACOBAMBA 164
0.6%
ACOMAYO 30
0.1%
AIJA 13
0%
ALTO AMAZONAS 157
0.5%
AMBO 102
0.3%
ANDAHUAYLAS 463
1.6%
ANGARAES 166
0.6%
ANTA 144
0.5%
ANTABAMBA 40
0.1%
ANTONIO RAYMONDI 27
0.1%
AREQUIPA 326
1.1%
ASCOPE 63
0.2%
ASUNCION 14
0%
ATALAYA 189
0.6%
AYABACA 278
0.9%
AYMARAES 113
0.4%
AZANGARO 214
0.7%
BAGUA 151
0.5%
BARRANCA 100
0.3%
BELLAVISTA 106
0.4%
BOLIVAR 40
0.1%
BOLOGNESI 15
0.1%
BONGARA 87
0.3%
CAJABAMBA 96
0.3%
CAJAMARCA 182
0.6%
CAJATAMBO 42
0.1%
CALCA 103
0.3%
CALLAO 10
0%
CAMANA 76
0.3%
CANAS 56
0.2%
CANCHIS 122
0.4%
CANDARAVE 180
0.6%
CANGALLO 123
0.4%
CANTA 41
0.1%
CARABAYA 70
0.2%
CARAVELI 58
0.2%
CARHUAZ 180
0.6%
CARLOS FERMIN FITZCARRALD 65
0.2%
CASMA 66
0.2%
CASTILLA 142
0.5%
CASTROVIRREYNA 56
0.2%
CAYLLOMA 377
1.3%
CAÑETE 316
1.1%
CELENDIN 93
0.3%
CHACHAPOYAS 257
0.9%
CHANCHAMAYO 129
0.4%
CHEPEN 53
0.2%
CHICLAYO 227
0.8%
CHINCHA 333
1.1%
CHINCHEROS 206
0.7%
CHOTA 179
0.6%
CHUCUITO 167
0.6%
CHUMBIVILCAS 134
0.5%
CHUPACA 161
0.5%
CHURCAMPA 166
0.6%
CONCEPCION 141
0.5%
CONDESUYOS 97
0.3%
CONDORCANQUI 83
0.3%
CONTRALMIRANTE VILLAR 84
0.3%
CONTUMAZA 40
0.1%
CORONEL PORTILLO 473
1.6%
CORONGO 14
0%
COTABAMBAS 147
0.5%
CUSCO 21
0.1%
CUTERVO 165
0.6%
DANIEL ALCIDES CARRION 251
0.8%
DATEM DEL MARAÑÓN 153
0.5%
DOS DE MAYO 111
0.4%
EL COLLAO 124
0.4%
EL DORADO 56
0.2%
ESPINAR 43
0.1%
FERREÑAFE 388
1.3%
GENERAL SANCHEZ CERRO 558
1.9%
GRAN CHIMU 95
0.3%
GRAU 94
0.3%
HUACAYBAMBA 70
0.2%
HUALGAYOC 55
0.2%
HUALLAGA 70
0.2%
HUAMALIES 166
0.6%
HUAMANGA 243
0.8%
HUANCA SANCOS 29
0.1%
HUANCABAMBA 399
1.3%
HUANCANE 165
0.6%
HUANCAVELICA 295
1%
HUANCAYO 234
0.8%
HUANTA 225
0.8%
HUANUCO 294
1%
HUARAL 231
0.8%
HUARAZ 217
0.7%
HUARI 151
0.5%
HUARMEY 18
0.1%
HUAROCHIRI 151
0.5%
HUAURA 165
0.6%
HUAYLAS 102
0.3%
HUAYTARA 119
0.4%
ICA 591
2%
ILO 14
0%
ISLAY 63
0.2%
JAEN 73
0.2%
JAUJA 256
0.9%
JORGE BASADRE 115
0.4%
JULCAN 82
0.3%
JUNIN 57
0.2%
LA CONVENCIÓN 263
0.9%
LA MAR 178
0.6%
LA UNION 110
0.4%
LAMAS 157
0.5%
LAMBAYEQUE 616
2.1%
LAMPA 27
0.1%
LAURICOCHA 64
0.2%
LEONCIO PRADO 71
0.2%
LIMA 137
0.5%
LORETO 116
0.4%
LUCANAS 137
0.5%
LUYA 402
1.4%
MANU 148
0.5%
MARAÑON 94
0.3%
MARISCAL CACERES 85
0.3%
MARISCAL LUZURIAGA 42
0.1%
MARISCAL NIETO 599
2%
MARISCAL RAMÓN CASTILLA 96
0.3%
MAYNAS 314
1.1%
MELGAR 50
0.2%
MOHO 28
0.1%
MORROPON 174
0.6%
MOYOBAMBA 225
0.8%
NAZCA 93
0.3%
OCROS 1
0%
OTUZCO 291
1%
OXAPAMPA 380
1.3%
OYON 14
0%
PACASMAYO 91
0.3%
PACHITEA 123
0.4%
PADRE ABAD 382
1.3%
PAITA 31
0.1%
PALLASCA 40
0.1%
PALPA 41
0.1%
PARINACOCHAS 95
0.3%
PARURO 109
0.4%
PASCO 566
1.9%
PATAZ 98
0.3%
PAUCAR DEL SARA SARA 42
0.1%
PAUCARTAMBO 94
0.3%
PICOTA 137
0.5%
PISCO 201
0.7%
PIURA 287
1%
POMABAMBA 56
0.2%
PUERTO INCA 155
0.5%
PUNO 240
0.8%
PURÚS 13
0%
QUISPICANCHI 139
0.5%
RECUAY 53
0.2%
REQUENA 109
0.4%
RIOJA 108
0.4%
RODRIGUEZ DE MENDOZA 76
0.3%
SAN ANTONIO DE PUTINA 28
0.1%
SAN IGNACIO 156
0.5%
SAN MARCOS 65
0.2%
SAN MARTIN 107
0.4%
SAN MIGUEL 93
0.3%
SAN PABLO 41
0.1%
SAN ROMAN 70
0.2%
SANCHEZ CARRION 345
1.2%
SANDIA 196
0.7%
SANTA 188
0.6%
SANTA CRUZ 74
0.2%
SANTIAGO DE CHUCO 127
0.4%
SATIPO 142
0.5%
SECHURA 55
0.2%
SIHUAS 53
0.2%
SUCRE 14
0%
SULLANA 166
0.6%
TACNA 678
2.3%
TAHUAMANU 215
0.7%
TALARA 14
0%
TAMBOPATA 471
1.6%
TARATA 173
0.6%
TARMA 124
0.4%
TAYACAJA 259
0.9%
TOCACHE 163
0.6%
TRUJILLO 75
0.3%
TUMBES 580
2%
UCAYALI 131
0.4%
URUBAMBA 68
0.2%
UTCUBAMBA 211
0.7%
VICTOR FAJARDO 127
0.4%
VILCAS HUAMAN 26
0.1%
VIRU 96
0.3%
YAROWILCA 96
0.3%
YAULI 17
0.1%
YAUYOS 133
0.4%
YUNGAY 144
0.5%
YUNGUYO 54
0.2%
ZARUMILLA 212
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
Es el nombre de la provincia donde se está realizando la encuesta.
Universe
La encuesta cubre a todas las unidades agropecuarias del país con menos de 50 ha y las unidades agropecuarias que son empresas agrícolas o agropecuarios.
Source of information
Encuestador.
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