Home / Central Data Catalog / PER_2017_ENA_V01_M / variable [F31]
central

Encuesta Nacional Agropecuaria 2017

Peru, 2017
Get Microdata
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
Page views
57410
Downloads
675

Nombre de la provincia (NOMBREPV)

Data file: 04_Cap200b

Overview

Valid: 26495
Invalid: 0
Type: Discrete
Start: 22
End: 46
Width: 25
Range: -
Format: character

Questions and instructions

Categories
Value Category Cases
ABANCAY 163
0.6%
ACOBAMBA 163
0.6%
ACOMAYO 28
0.1%
AIJA 11
0%
ALTO AMAZONAS 151
0.6%
AMBO 93
0.4%
ANDAHUAYLAS 448
1.7%
ANGARAES 152
0.6%
ANTA 128
0.5%
ANTABAMBA 36
0.1%
ANTONIO RAYMONDI 27
0.1%
AREQUIPA 256
1%
ASCOPE 42
0.2%
ASUNCION 14
0.1%
ATALAYA 183
0.7%
AYABACA 262
1%
AYMARAES 102
0.4%
AZANGARO 204
0.8%
BAGUA 147
0.6%
BARRANCA 83
0.3%
BELLAVISTA 87
0.3%
BOLIVAR 39
0.1%
BOLOGNESI 14
0.1%
BONGARA 81
0.3%
CAJABAMBA 90
0.3%
CAJAMARCA 168
0.6%
CAJATAMBO 41
0.2%
CALCA 97
0.4%
CAMANA 63
0.2%
CANAS 55
0.2%
CANCHIS 116
0.4%
CANDARAVE 160
0.6%
CANGALLO 121
0.5%
CANTA 38
0.1%
CARABAYA 67
0.3%
CARAVELI 53
0.2%
CARHUAZ 178
0.7%
CARLOS FERMIN FITZCARRALD 64
0.2%
CASMA 56
0.2%
CASTILLA 135
0.5%
CASTROVIRREYNA 39
0.1%
CAYLLOMA 290
1.1%
CAÑETE 214
0.8%
CELENDIN 90
0.3%
CHACHAPOYAS 249
0.9%
CHANCHAMAYO 115
0.4%
CHEPEN 41
0.2%
CHICLAYO 178
0.7%
CHINCHA 238
0.9%
CHINCHEROS 201
0.8%
CHOTA 167
0.6%
CHUCUITO 150
0.6%
CHUMBIVILCAS 121
0.5%
CHUPACA 146
0.6%
CHURCAMPA 157
0.6%
CONCEPCION 135
0.5%
CONDESUYOS 83
0.3%
CONDORCANQUI 80
0.3%
CONTRALMIRANTE VILLAR 56
0.2%
CONTUMAZA 40
0.2%
CORONEL PORTILLO 437
1.6%
CORONGO 14
0.1%
COTABAMBAS 142
0.5%
CUSCO 13
0%
CUTERVO 153
0.6%
DANIEL ALCIDES CARRION 237
0.9%
DATEM DEL MARAÑÓN 150
0.6%
DOS DE MAYO 109
0.4%
EL COLLAO 68
0.3%
EL DORADO 53
0.2%
ESPINAR 39
0.1%
FERREÑAFE 373
1.4%
GENERAL SANCHEZ CERRO 504
1.9%
GRAN CHIMU 94
0.4%
GRAU 89
0.3%
HUACAYBAMBA 65
0.2%
HUALGAYOC 51
0.2%
HUALLAGA 58
0.2%
HUAMALIES 153
0.6%
HUAMANGA 237
0.9%
HUANCA SANCOS 28
0.1%
HUANCABAMBA 383
1.4%
HUANCANE 165
0.6%
HUANCAVELICA 263
1%
HUANCAYO 214
0.8%
HUANTA 221
0.8%
HUANUCO 277
1%
HUARAL 182
0.7%
HUARAZ 201
0.8%
HUARI 147
0.6%
HUARMEY 13
0%
HUAROCHIRI 132
0.5%
HUAURA 109
0.4%
HUAYLAS 91
0.3%
HUAYTARA 106
0.4%
ICA 500
1.9%
ILO 14
0.1%
ISLAY 54
0.2%
JAEN 70
0.3%
JAUJA 228
0.9%
JORGE BASADRE 110
0.4%
JULCAN 81
0.3%
JUNIN 53
0.2%
LA CONVENCIÓN 236
0.9%
LA MAR 177
0.7%
LA UNION 109
0.4%
LAMAS 143
0.5%
LAMBAYEQUE 545
2.1%
LAMPA 14
0.1%
LAURICOCHA 64
0.2%
LEONCIO PRADO 60
0.2%
LIMA 62
0.2%
LORETO 106
0.4%
LUCANAS 128
0.5%
LUYA 397
1.5%
MANU 121
0.5%
MARAÑON 91
0.3%
MARISCAL CACERES 78
0.3%
MARISCAL LUZURIAGA 40
0.2%
MARISCAL NIETO 552
2.1%
MARISCAL RAMÓN CASTILLA 89
0.3%
MAYNAS 283
1.1%
MELGAR 37
0.1%
MOHO 28
0.1%
MORROPON 165
0.6%
MOYOBAMBA 217
0.8%
NAZCA 79
0.3%
OTUZCO 281
1.1%
OXAPAMPA 292
1.1%
OYON 14
0.1%
PACASMAYO 77
0.3%
PACHITEA 119
0.4%
PADRE ABAD 357
1.3%
PAITA 23
0.1%
PALLASCA 38
0.1%
PALPA 40
0.2%
PARINACOCHAS 78
0.3%
PARURO 108
0.4%
PASCO 455
1.7%
PATAZ 96
0.4%
PAUCAR DEL SARA SARA 42
0.2%
PAUCARTAMBO 91
0.3%
PICOTA 121
0.5%
PISCO 161
0.6%
PIURA 243
0.9%
POMABAMBA 53
0.2%
PUERTO INCA 49
0.2%
PUNO 225
0.8%
PURÚS 13
0%
QUISPICANCHI 132
0.5%
RECUAY 47
0.2%
REQUENA 99
0.4%
RIOJA 103
0.4%
RODRIGUEZ DE MENDOZA 68
0.3%
SAN ANTONIO DE PUTINA 14
0.1%
SAN IGNACIO 149
0.6%
SAN MARCOS 63
0.2%
SAN MARTIN 77
0.3%
SAN MIGUEL 92
0.3%
SAN PABLO 41
0.2%
SAN ROMAN 54
0.2%
SANCHEZ CARRION 326
1.2%
SANDIA 194
0.7%
SANTA 170
0.6%
SANTA CRUZ 74
0.3%
SANTIAGO DE CHUCO 122
0.5%
SATIPO 132
0.5%
SECHURA 53
0.2%
SIHUAS 52
0.2%
SUCRE 14
0.1%
SULLANA 142
0.5%
TACNA 513
1.9%
TAHUAMANU 195
0.7%
TALARA 1
0%
TAMBOPATA 422
1.6%
TARATA 167
0.6%
TARMA 114
0.4%
TAYACAJA 248
0.9%
TOCACHE 141
0.5%
TRUJILLO 39
0.1%
TUMBES 558
2.1%
UCAYALI 112
0.4%
URUBAMBA 66
0.2%
UTCUBAMBA 202
0.8%
VICTOR FAJARDO 122
0.5%
VILCAS HUAMAN 25
0.1%
VIRU 66
0.2%
YAROWILCA 89
0.3%
YAULI 5
0%
YAUYOS 123
0.5%
YUNGAY 129
0.5%
YUNGUYO 49
0.2%
ZARUMILLA 207
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.
Back to Catalog