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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: 10_Cap400b

Overview

Valid: 26919
Invalid: 0
Type: Discrete
Start: 22
End: 46
Width: 25
Range: -
Format: character

Questions and instructions

Categories
Value Category Cases
ABANCAY 187
0.7%
ACOBAMBA 165
0.6%
ACOMAYO 31
0.1%
AIJA 12
0%
ALTO AMAZONAS 148
0.5%
AMBO 85
0.3%
ANDAHUAYLAS 498
1.8%
ANGARAES 192
0.7%
ANTA 119
0.4%
ANTABAMBA 59
0.2%
ANTONIO RAYMONDI 18
0.1%
AREQUIPA 184
0.7%
ASCOPE 25
0.1%
ASUNCION 18
0.1%
ATALAYA 161
0.6%
AYABACA 348
1.3%
AYMARAES 131
0.5%
AZANGARO 376
1.4%
BAGUA 133
0.5%
BARRANCA 50
0.2%
BELLAVISTA 97
0.4%
BOLIVAR 46
0.2%
BOLOGNESI 4
0%
BONGARA 101
0.4%
CAJABAMBA 96
0.4%
CAJAMARCA 239
0.9%
CAJATAMBO 34
0.1%
CALCA 86
0.3%
CALLAO 8
0%
CAMANA 29
0.1%
CANAS 84
0.3%
CANCHIS 128
0.5%
CANDARAVE 118
0.4%
CANGALLO 135
0.5%
CANTA 28
0.1%
CARABAYA 88
0.3%
CARAVELI 45
0.2%
CARHUAZ 156
0.6%
CARLOS FERMIN FITZCARRALD 62
0.2%
CASMA 26
0.1%
CASTILLA 145
0.5%
CASTROVIRREYNA 73
0.3%
CAYLLOMA 374
1.4%
CAÑETE 104
0.4%
CELENDIN 117
0.4%
CHACHAPOYAS 271
1%
CHANCHAMAYO 88
0.3%
CHEPEN 22
0.1%
CHICLAYO 185
0.7%
CHINCHA 168
0.6%
CHINCHEROS 251
0.9%
CHOTA 261
1%
CHUCUITO 229
0.9%
CHUMBIVILCAS 198
0.7%
CHUPACA 126
0.5%
CHURCAMPA 168
0.6%
CONCEPCION 171
0.6%
CONDESUYOS 90
0.3%
CONDORCANQUI 74
0.3%
CONTRALMIRANTE VILLAR 112
0.4%
CONTUMAZA 45
0.2%
CORONEL PORTILLO 345
1.3%
CORONGO 20
0.1%
COTABAMBAS 208
0.8%
CUSCO 18
0.1%
CUTERVO 183
0.7%
DANIEL ALCIDES CARRION 285
1.1%
DATEM DEL MARAÑÓN 148
0.5%
DOS DE MAYO 133
0.5%
EL COLLAO 152
0.6%
EL DORADO 67
0.2%
ESPINAR 75
0.3%
FERREÑAFE 513
1.9%
GENERAL SANCHEZ CERRO 412
1.5%
GRAN CHIMU 94
0.3%
GRAU 118
0.4%
HUACAYBAMBA 78
0.3%
HUALGAYOC 85
0.3%
HUALLAGA 59
0.2%
HUAMALIES 185
0.7%
HUAMANGA 236
0.9%
HUANCA SANCOS 52
0.2%
HUANCABAMBA 564
2.1%
HUANCANE 198
0.7%
HUANCAVELICA 400
1.5%
HUANCAYO 198
0.7%
HUANTA 199
0.7%
HUANUCO 319
1.2%
HUARAL 103
0.4%
HUARAZ 155
0.6%
HUARI 150
0.6%
HUARMEY 10
0%
HUAROCHIRI 113
0.4%
HUAURA 66
0.2%
HUAYLAS 95
0.4%
HUAYTARA 146
0.5%
ICA 120
0.4%
ILO 1
0%
ISLAY 26
0.1%
JAEN 56
0.2%
JAUJA 288
1.1%
JORGE BASADRE 67
0.2%
JULCAN 111
0.4%
JUNIN 40
0.1%
LA CONVENCIÓN 190
0.7%
LA MAR 178
0.7%
LA UNION 97
0.4%
LAMAS 149
0.6%
LAMBAYEQUE 543
2%
LAMPA 45
0.2%
LAURICOCHA 112
0.4%
LEONCIO PRADO 45
0.2%
LIMA 85
0.3%
LORETO 97
0.4%
LUCANAS 122
0.5%
LUYA 365
1.4%
MANU 91
0.3%
MARAÑON 97
0.4%
MARISCAL CACERES 71
0.3%
MARISCAL LUZURIAGA 39
0.1%
MARISCAL NIETO 369
1.4%
MARISCAL RAMÓN CASTILLA 81
0.3%
MAYNAS 239
0.9%
MELGAR 108
0.4%
MOHO 37
0.1%
MORROPON 162
0.6%
MOYOBAMBA 202
0.8%
NAZCA 31
0.1%
OTUZCO 365
1.4%
OXAPAMPA 358
1.3%
OYON 11
0%
PACASMAYO 34
0.1%
PACHITEA 179
0.7%
PADRE ABAD 296
1.1%
PAITA 17
0.1%
PALLASCA 42
0.2%
PALPA 17
0.1%
PARINACOCHAS 100
0.4%
PARURO 112
0.4%
PASCO 678
2.5%
PATAZ 118
0.4%
PAUCAR DEL SARA SARA 22
0.1%
PAUCARTAMBO 114
0.4%
PICOTA 117
0.4%
PISCO 102
0.4%
PIURA 204
0.8%
POMABAMBA 54
0.2%
PUERTO INCA 219
0.8%
PUNO 384
1.4%
PURÚS 10
0%
QUISPICANCHI 136
0.5%
RECUAY 58
0.2%
REQUENA 81
0.3%
RIOJA 103
0.4%
RODRIGUEZ DE MENDOZA 81
0.3%
SAN ANTONIO DE PUTINA 63
0.2%
SAN IGNACIO 115
0.4%
SAN MARCOS 72
0.3%
SAN MARTIN 96
0.4%
SAN MIGUEL 128
0.5%
SAN PABLO 48
0.2%
SAN ROMAN 117
0.4%
SANCHEZ CARRION 430
1.6%
SANDIA 66
0.2%
SANTA 136
0.5%
SANTA CRUZ 79
0.3%
SANTIAGO DE CHUCO 162
0.6%
SATIPO 102
0.4%
SECHURA 48
0.2%
SIHUAS 46
0.2%
SUCRE 11
0%
SULLANA 80
0.3%
TACNA 363
1.3%
TAHUAMANU 172
0.6%
TALARA 18
0.1%
TAMBOPATA 354
1.3%
TARATA 66
0.2%
TARMA 95
0.4%
TAYACAJA 261
1%
TOCACHE 104
0.4%
TRUJILLO 57
0.2%
TUMBES 284
1.1%
UCAYALI 114
0.4%
URUBAMBA 50
0.2%
UTCUBAMBA 211
0.8%
VICTOR FAJARDO 124
0.5%
VILCAS HUAMAN 33
0.1%
VIRU 66
0.2%
YAROWILCA 112
0.4%
YAULI 25
0.1%
YAUYOS 131
0.5%
YUNGAY 92
0.3%
YUNGUYO 42
0.2%
ZARUMILLA 66
0.2%
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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