IHSN Survey Catalog
  • Home
  • Microdata Catalog
  • Citations
  • Login
    Login
    Home / Central Data Catalog / PER_2017_ENA_V01_M / variable [F33]
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
34450
Downloads
393
  • Study Description
  • Data Dictionary
  • Downloads
  • Get Microdata
  • Data files
  • 01_Cap100_1
  • 01_Cap100_2
  • 02_Cap200ab
  • 03_Cap200B_1
  • 04_Cap200b
  • 05_Cap200c
  • 06_Cap200d
  • 07_Cap200E
  • 08_Cap300ab
  • 09_Cap400a_1
  • 09_Cap400a_2
  • 09_Cap400a_3
  • 10_Cap400b
  • 11_Cap400c
  • 12_Cap500ab
  • 13_Cap600
  • 14_Cap700
  • 15_Cap800
  • 16_Cap900
  • 17_Cap1000
  • 18_Cap1100
  • 19_Cap1200
  • 20_Cap1200a
  • 21_Cap1200a_1
  • 22_Cap1200b
  • 23_ESPACIAL

Nombre de la provincia (NOMBREPV)

Data file: 06_Cap200d

Overview

Valid: 8037
Invalid: 0
Type: Discrete
Start: 22
End: 46
Width: 25
Range: -
Format: character

Questions and instructions

Categories
Value Category Cases
ABANCAY 112
1.4%
ACOBAMBA 88
1.1%
ACOMAYO 24
0.3%
AIJA 5
0.1%
AMBO 47
0.6%
ANDAHUAYLAS 193
2.4%
ANGARAES 110
1.4%
ANTA 79
1%
ANTABAMBA 27
0.3%
ANTONIO RAYMONDI 26
0.3%
AREQUIPA 58
0.7%
ASCOPE 7
0.1%
ASUNCION 12
0.1%
AYABACA 249
3.1%
AYMARAES 52
0.6%
AZANGARO 10
0.1%
BAGUA 2
0%
BARRANCA 11
0.1%
BELLAVISTA 1
0%
BOLIVAR 28
0.3%
BONGARA 9
0.1%
CAJABAMBA 45
0.6%
CAJAMARCA 81
1%
CAJATAMBO 10
0.1%
CALCA 45
0.6%
CAMANA 49
0.6%
CANAS 24
0.3%
CANCHIS 99
1.2%
CANDARAVE 45
0.6%
CANGALLO 78
1%
CANTA 12
0.1%
CARABAYA 3
0%
CARAVELI 27
0.3%
CARHUAZ 175
2.2%
CARLOS FERMIN FITZCARRALD 27
0.3%
CASMA 16
0.2%
CASTILLA 26
0.3%
CASTROVIRREYNA 12
0.1%
CAYLLOMA 71
0.9%
CAÑETE 52
0.6%
CELENDIN 49
0.6%
CHACHAPOYAS 25
0.3%
CHEPEN 1
0%
CHICLAYO 53
0.7%
CHINCHA 32
0.4%
CHINCHEROS 141
1.8%
CHOTA 137
1.7%
CHUCUITO 54
0.7%
CHUMBIVILCAS 82
1%
CHUPACA 86
1.1%
CHURCAMPA 91
1.1%
CONCEPCION 49
0.6%
CONDESUYOS 32
0.4%
CONTRALMIRANTE VILLAR 12
0.1%
CONTUMAZA 7
0.1%
COTABAMBAS 76
0.9%
CUSCO 16
0.2%
CUTERVO 36
0.4%
DANIEL ALCIDES CARRION 9
0.1%
DATEM DEL MARAÑÓN 1
0%
DOS DE MAYO 67
0.8%
EL COLLAO 4
0%
EL DORADO 4
0%
ESPINAR 3
0%
FERREÑAFE 99
1.2%
GENERAL SANCHEZ CERRO 150
1.9%
GRAN CHIMU 41
0.5%
GRAU 75
0.9%
HUACAYBAMBA 56
0.7%
HUALGAYOC 6
0.1%
HUALLAGA 1
0%
HUAMALIES 50
0.6%
HUAMANGA 190
2.4%
HUANCA SANCOS 17
0.2%
HUANCABAMBA 300
3.7%
HUANCANE 1
0%
HUANCAVELICA 115
1.4%
HUANCAYO 66
0.8%
HUANTA 97
1.2%
HUANUCO 114
1.4%
HUARAL 21
0.3%
HUARAZ 87
1.1%
HUARI 168
2.1%
HUARMEY 8
0.1%
HUAROCHIRI 6
0.1%
HUAURA 14
0.2%
HUAYLAS 46
0.6%
HUAYTARA 35
0.4%
ICA 45
0.6%
ISLAY 7
0.1%
JAEN 9
0.1%
JAUJA 120
1.5%
JORGE BASADRE 10
0.1%
JULCAN 42
0.5%
JUNIN 1
0%
LA CONVENCIÓN 6
0.1%
LA MAR 47
0.6%
LA UNION 84
1%
LAMBAYEQUE 208
2.6%
LAURICOCHA 4
0%
LEONCIO PRADO 9
0.1%
LIMA 3
0%
LUCANAS 3
0%
LUYA 29
0.4%
MARAÑON 52
0.6%
MARISCAL LUZURIAGA 29
0.4%
MARISCAL NIETO 122
1.5%
MAYNAS 1
0%
MELGAR 14
0.2%
MOHO 6
0.1%
MORROPON 45
0.6%
MOYOBAMBA 2
0%
NAZCA 19
0.2%
OTUZCO 151
1.9%
OXAPAMPA 5
0.1%
OYON 1
0%
PACASMAYO 8
0.1%
PACHITEA 35
0.4%
PADRE ABAD 3
0%
PAITA 14
0.2%
PALLASCA 23
0.3%
PALPA 7
0.1%
PARINACOCHAS 1
0%
PARURO 110
1.4%
PASCO 33
0.4%
PATAZ 7
0.1%
PAUCAR DEL SARA SARA 11
0.1%
PAUCARTAMBO 47
0.6%
PISCO 36
0.4%
PIURA 171
2.1%
POMABAMBA 44
0.5%
PUERTO INCA 52
0.6%
PUNO 78
1%
QUISPICANCHI 75
0.9%
RECUAY 20
0.2%
RIOJA 1
0%
RODRIGUEZ DE MENDOZA 8
0.1%
SAN IGNACIO 1
0%
SAN MARCOS 48
0.6%
SAN MARTIN 1
0%
SAN MIGUEL 32
0.4%
SAN PABLO 39
0.5%
SANCHEZ CARRION 227
2.8%
SANTA 97
1.2%
SANTA CRUZ 40
0.5%
SANTIAGO DE CHUCO 77
1%
SECHURA 59
0.7%
SIHUAS 32
0.4%
SUCRE 10
0.1%
SULLANA 14
0.2%
TACNA 54
0.7%
TAHUAMANU 1
0%
TAMBOPATA 4
0%
TARATA 34
0.4%
TARMA 12
0.1%
TAYACAJA 108
1.3%
TRUJILLO 2
0%
TUMBES 40
0.5%
URUBAMBA 36
0.4%
UTCUBAMBA 1
0%
VICTOR FAJARDO 95
1.2%
VILCAS HUAMAN 34
0.4%
VIRU 21
0.3%
YAROWILCA 56
0.7%
YAULI 1
0%
YAUYOS 23
0.3%
YUNGAY 68
0.8%
YUNGUYO 35
0.4%
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
IHSN Survey Catalog

© IHSN Survey Catalog, All Rights Reserved.