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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: 12_Cap500ab

Overview

Valid: 22432
Invalid: 0
Type: Discrete
Start: 22
End: 46
Width: 25
Range: -
Format: character

Questions and instructions

Categories
Value Category Cases
ABANCAY 153
0.7%
ACOBAMBA 148
0.7%
ACOMAYO 25
0.1%
AIJA 10
0%
ALTO AMAZONAS 142
0.6%
AMBO 81
0.4%
ANDAHUAYLAS 407
1.8%
ANGARAES 136
0.6%
ANTA 118
0.5%
ANTABAMBA 37
0.2%
ANTONIO RAYMONDI 18
0.1%
AREQUIPA 170
0.8%
ASCOPE 33
0.1%
ASUNCION 13
0.1%
ATALAYA 163
0.7%
AYABACA 257
1.1%
AYMARAES 101
0.5%
AZANGARO 195
0.9%
BAGUA 126
0.6%
BARRANCA 58
0.3%
BELLAVISTA 86
0.4%
BOLIVAR 36
0.2%
BOLOGNESI 10
0%
BONGARA 78
0.3%
CAJABAMBA 83
0.4%
CAJAMARCA 166
0.7%
CAJATAMBO 31
0.1%
CALCA 84
0.4%
CALLAO 10
0%
CAMANA 31
0.1%
CANAS 54
0.2%
CANCHIS 105
0.5%
CANDARAVE 94
0.4%
CANGALLO 91
0.4%
CANTA 23
0.1%
CARABAYA 57
0.3%
CARAVELI 44
0.2%
CARHUAZ 156
0.7%
CARLOS FERMIN FITZCARRALD 57
0.3%
CASMA 39
0.2%
CASTILLA 113
0.5%
CASTROVIRREYNA 43
0.2%
CAYLLOMA 301
1.3%
CAÑETE 149
0.7%
CELENDIN 79
0.4%
CHACHAPOYAS 211
0.9%
CHANCHAMAYO 85
0.4%
CHEPEN 19
0.1%
CHICLAYO 152
0.7%
CHINCHA 153
0.7%
CHINCHEROS 179
0.8%
CHOTA 170
0.8%
CHUCUITO 149
0.7%
CHUMBIVILCAS 128
0.6%
CHUPACA 122
0.5%
CHURCAMPA 135
0.6%
CONCEPCION 126
0.6%
CONDESUYOS 81
0.4%
CONDORCANQUI 74
0.3%
CONTRALMIRANTE VILLAR 81
0.4%
CONTUMAZA 35
0.2%
CORONEL PORTILLO 357
1.6%
CORONGO 14
0.1%
COTABAMBAS 141
0.6%
CUSCO 20
0.1%
CUTERVO 149
0.7%
DANIEL ALCIDES CARRION 226
1%
DATEM DEL MARAÑÓN 149
0.7%
DOS DE MAYO 106
0.5%
EL COLLAO 113
0.5%
EL DORADO 51
0.2%
ESPINAR 41
0.2%
FERREÑAFE 300
1.3%
GENERAL SANCHEZ CERRO 411
1.8%
GRAN CHIMU 78
0.3%
GRAU 85
0.4%
HUACAYBAMBA 61
0.3%
HUALGAYOC 52
0.2%
HUALLAGA 52
0.2%
HUAMALIES 147
0.7%
HUAMANGA 180
0.8%
HUANCA SANCOS 28
0.1%
HUANCABAMBA 370
1.6%
HUANCANE 127
0.6%
HUANCAVELICA 263
1.2%
HUANCAYO 193
0.9%
HUANTA 165
0.7%
HUANUCO 253
1.1%
HUARAL 134
0.6%
HUARAZ 161
0.7%
HUARI 135
0.6%
HUARMEY 12
0.1%
HUAROCHIRI 101
0.5%
HUAURA 101
0.5%
HUAYLAS 88
0.4%
HUAYTARA 98
0.4%
ICA 158
0.7%
ILO 2
0%
ISLAY 31
0.1%
JAEN 57
0.3%
JAUJA 203
0.9%
JORGE BASADRE 51
0.2%
JULCAN 76
0.3%
JUNIN 43
0.2%
LA CONVENCIÓN 183
0.8%
LA MAR 144
0.6%
LA UNION 89
0.4%
LAMAS 137
0.6%
LAMBAYEQUE 461
2.1%
LAMPA 27
0.1%
LAURICOCHA 62
0.3%
LEONCIO PRADO 45
0.2%
LIMA 100
0.4%
LORETO 102
0.5%
LUCANAS 108
0.5%
LUYA 331
1.5%
MANU 92
0.4%
MARAÑON 84
0.4%
MARISCAL CACERES 66
0.3%
MARISCAL LUZURIAGA 36
0.2%
MARISCAL NIETO 343
1.5%
MARISCAL RAMÓN CASTILLA 80
0.4%
MAYNAS 251
1.1%
MELGAR 50
0.2%
MOHO 27
0.1%
MORROPON 127
0.6%
MOYOBAMBA 176
0.8%
NAZCA 38
0.2%
OTUZCO 243
1.1%
OXAPAMPA 303
1.4%
OYON 12
0.1%
PACASMAYO 37
0.2%
PACHITEA 114
0.5%
PADRE ABAD 280
1.2%
PAITA 21
0.1%
PALLASCA 38
0.2%
PALPA 17
0.1%
PARINACOCHAS 86
0.4%
PARURO 98
0.4%
PASCO 495
2.2%
PATAZ 91
0.4%
PAUCAR DEL SARA SARA 30
0.1%
PAUCARTAMBO 87
0.4%
PICOTA 112
0.5%
PISCO 94
0.4%
PIURA 224
1%
POMABAMBA 46
0.2%
PUERTO INCA 142
0.6%
PUNO 209
0.9%
PURÚS 10
0%
QUISPICANCHI 125
0.6%
RECUAY 44
0.2%
REQUENA 86
0.4%
RIOJA 84
0.4%
RODRIGUEZ DE MENDOZA 69
0.3%
SAN ANTONIO DE PUTINA 27
0.1%
SAN IGNACIO 112
0.5%
SAN MARCOS 60
0.3%
SAN MARTIN 90
0.4%
SAN MIGUEL 82
0.4%
SAN PABLO 37
0.2%
SAN ROMAN 63
0.3%
SANCHEZ CARRION 302
1.3%
SANDIA 76
0.3%
SANTA 133
0.6%
SANTA CRUZ 69
0.3%
SANTIAGO DE CHUCO 119
0.5%
SATIPO 105
0.5%
SECHURA 44
0.2%
SIHUAS 43
0.2%
SUCRE 9
0%
SULLANA 84
0.4%
TACNA 423
1.9%
TAHUAMANU 157
0.7%
TALARA 14
0.1%
TAMBOPATA 344
1.5%
TARATA 86
0.4%
TARMA 107
0.5%
TAYACAJA 210
0.9%
TOCACHE 96
0.4%
TRUJILLO 58
0.3%
TUMBES 282
1.3%
UCAYALI 111
0.5%
URUBAMBA 56
0.2%
UTCUBAMBA 176
0.8%
VICTOR FAJARDO 94
0.4%
VILCAS HUAMAN 19
0.1%
VIRU 65
0.3%
YAROWILCA 85
0.4%
YAULI 17
0.1%
YAUYOS 99
0.4%
YUNGAY 112
0.5%
YUNGUYO 41
0.2%
ZARUMILLA 75
0.3%
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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