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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: 08_Cap300ab

Overview

Valid: 27564
Invalid: 0
Type: Discrete
Start: 22
End: 46
Width: 25
Range: -
Format: character

Questions and instructions

Categories
Value Category Cases
ABANCAY 164
0.6%
ACOBAMBA 163
0.6%
ACOMAYO 30
0.1%
AIJA 11
0%
ALTO AMAZONAS 157
0.6%
AMBO 98
0.4%
ANDAHUAYLAS 449
1.6%
ANGARAES 152
0.6%
ANTA 138
0.5%
ANTABAMBA 36
0.1%
ANTONIO RAYMONDI 27
0.1%
AREQUIPA 279
1%
ASCOPE 57
0.2%
ASUNCION 14
0.1%
ATALAYA 184
0.7%
AYABACA 262
1%
AYMARAES 104
0.4%
AZANGARO 208
0.8%
BAGUA 148
0.5%
BARRANCA 96
0.3%
BELLAVISTA 103
0.4%
BOLIVAR 39
0.1%
BOLOGNESI 15
0.1%
BONGARA 85
0.3%
CAJABAMBA 93
0.3%
CAJAMARCA 173
0.6%
CAJATAMBO 41
0.1%
CALCA 101
0.4%
CAMANA 69
0.3%
CANAS 56
0.2%
CANCHIS 117
0.4%
CANDARAVE 160
0.6%
CANGALLO 121
0.4%
CANTA 41
0.1%
CARABAYA 67
0.2%
CARAVELI 57
0.2%
CARHUAZ 179
0.6%
CARLOS FERMIN FITZCARRALD 64
0.2%
CASMA 66
0.2%
CASTILLA 139
0.5%
CASTROVIRREYNA 39
0.1%
CAYLLOMA 301
1.1%
CAÑETE 253
0.9%
CELENDIN 91
0.3%
CHACHAPOYAS 256
0.9%
CHANCHAMAYO 119
0.4%
CHEPEN 48
0.2%
CHICLAYO 200
0.7%
CHINCHA 261
0.9%
CHINCHEROS 201
0.7%
CHOTA 178
0.6%
CHUCUITO 150
0.5%
CHUMBIVILCAS 121
0.4%
CHUPACA 152
0.6%
CHURCAMPA 157
0.6%
CONCEPCION 138
0.5%
CONDESUYOS 84
0.3%
CONDORCANQUI 80
0.3%
CONTRALMIRANTE VILLAR 56
0.2%
CONTUMAZA 40
0.1%
CORONEL PORTILLO 447
1.6%
CORONGO 14
0.1%
COTABAMBAS 142
0.5%
CUSCO 20
0.1%
CUTERVO 157
0.6%
DANIEL ALCIDES CARRION 239
0.9%
DATEM DEL MARAÑÓN 150
0.5%
DOS DE MAYO 109
0.4%
EL COLLAO 68
0.2%
EL DORADO 56
0.2%
ESPINAR 40
0.1%
FERREÑAFE 377
1.4%
GENERAL SANCHEZ CERRO 504
1.8%
GRAN CHIMU 94
0.3%
GRAU 89
0.3%
HUACAYBAMBA 65
0.2%
HUALGAYOC 51
0.2%
HUALLAGA 64
0.2%
HUAMALIES 154
0.6%
HUAMANGA 242
0.9%
HUANCA SANCOS 29
0.1%
HUANCABAMBA 383
1.4%
HUANCANE 165
0.6%
HUANCAVELICA 263
1%
HUANCAYO 224
0.8%
HUANTA 223
0.8%
HUANUCO 283
1%
HUARAL 197
0.7%
HUARAZ 202
0.7%
HUARI 149
0.5%
HUARMEY 16
0.1%
HUAROCHIRI 133
0.5%
HUAURA 134
0.5%
HUAYLAS 97
0.4%
HUAYTARA 106
0.4%
ICA 562
2%
ILO 14
0.1%
ISLAY 59
0.2%
JAEN 73
0.3%
JAUJA 235
0.9%
JORGE BASADRE 113
0.4%
JULCAN 81
0.3%
JUNIN 54
0.2%
LA CONVENCIÓN 245
0.9%
LA MAR 178
0.6%
LA UNION 109
0.4%
LAMAS 153
0.6%
LAMBAYEQUE 581
2.1%
LAMPA 14
0.1%
LAURICOCHA 64
0.2%
LEONCIO PRADO 63
0.2%
LIMA 76
0.3%
LORETO 106
0.4%
LUCANAS 129
0.5%
LUYA 397
1.4%
MANU 123
0.4%
MARAÑON 91
0.3%
MARISCAL CACERES 84
0.3%
MARISCAL LUZURIAGA 41
0.1%
MARISCAL NIETO 553
2%
MARISCAL RAMÓN CASTILLA 89
0.3%
MAYNAS 291
1.1%
MELGAR 46
0.2%
MOHO 28
0.1%
MORROPON 170
0.6%
MOYOBAMBA 218
0.8%
NAZCA 82
0.3%
OCROS 1
0%
OTUZCO 283
1%
OXAPAMPA 372
1.3%
OYON 14
0.1%
PACASMAYO 83
0.3%
PACHITEA 119
0.4%
PADRE ABAD 376
1.4%
PAITA 26
0.1%
PALLASCA 38
0.1%
PALPA 41
0.1%
PARINACOCHAS 78
0.3%
PARURO 108
0.4%
PASCO 467
1.7%
PATAZ 96
0.3%
PAUCAR DEL SARA SARA 42
0.2%
PAUCARTAMBO 92
0.3%
PICOTA 132
0.5%
PISCO 180
0.7%
PIURA 263
1%
POMABAMBA 53
0.2%
PUERTO INCA 149
0.5%
PUNO 228
0.8%
PURÚS 13
0%
QUISPICANCHI 135
0.5%
RECUAY 47
0.2%
REQUENA 99
0.4%
RIOJA 106
0.4%
RODRIGUEZ DE MENDOZA 75
0.3%
SAN ANTONIO DE PUTINA 14
0.1%
SAN IGNACIO 151
0.5%
SAN MARCOS 65
0.2%
SAN MARTIN 95
0.3%
SAN MIGUEL 92
0.3%
SAN PABLO 41
0.1%
SAN ROMAN 56
0.2%
SANCHEZ CARRION 330
1.2%
SANDIA 194
0.7%
SANTA 182
0.7%
SANTA CRUZ 74
0.3%
SANTIAGO DE CHUCO 123
0.4%
SATIPO 134
0.5%
SECHURA 53
0.2%
SIHUAS 52
0.2%
SUCRE 14
0.1%
SULLANA 158
0.6%
TACNA 531
1.9%
TAHUAMANU 197
0.7%
TALARA 1
0%
TAMBOPATA 451
1.6%
TARATA 167
0.6%
TARMA 115
0.4%
TAYACAJA 250
0.9%
TOCACHE 151
0.5%
TRUJILLO 54
0.2%
TUMBES 563
2%
UCAYALI 118
0.4%
URUBAMBA 67
0.2%
UTCUBAMBA 205
0.7%
VICTOR FAJARDO 123
0.4%
VILCAS HUAMAN 25
0.1%
VIRU 89
0.3%
YAROWILCA 91
0.3%
YAULI 8
0%
YAUYOS 124
0.4%
YUNGAY 135
0.5%
YUNGUYO 51
0.2%
ZARUMILLA 208
0.8%
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
La variable permite conocer el nombre de la provincia donde se ubica la unidad agropecuaria.
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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