IHSN Survey Catalog
  • Home
  • Microdata Catalog
  • Citations
  • Login
    Login
    Home / Central Data Catalog / PER_2017_ENA_V01_M / variable [F40]
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
34279
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: 11_Cap400c

Overview

Valid: 4404
Invalid: 0
Type: Discrete
Start: 22
End: 46
Width: 25
Range: -
Format: character

Questions and instructions

Categories
Value Category Cases
ABANCAY 49
1.1%
ACOBAMBA 27
0.6%
ACOMAYO 15
0.3%
AIJA 1
0%
ALTO AMAZONAS 1
0%
AMBO 14
0.3%
ANDAHUAYLAS 166
3.8%
ANGARAES 42
1%
ANTA 44
1%
ANTABAMBA 17
0.4%
AREQUIPA 5
0.1%
ATALAYA 2
0%
AYABACA 56
1.3%
AYMARAES 59
1.3%
AZANGARO 38
0.9%
BAGUA 8
0.2%
BELLAVISTA 8
0.2%
BOLIVAR 2
0%
BONGARA 21
0.5%
CAJABAMBA 3
0.1%
CAJAMARCA 48
1.1%
CAJATAMBO 10
0.2%
CALCA 4
0.1%
CANAS 18
0.4%
CANCHIS 40
0.9%
CANDARAVE 62
1.4%
CANGALLO 56
1.3%
CANTA 11
0.2%
CARABAYA 3
0.1%
CARAVELI 10
0.2%
CARHUAZ 11
0.2%
CARLOS FERMIN FITZCARRALD 2
0%
CASMA 1
0%
CASTILLA 20
0.5%
CASTROVIRREYNA 31
0.7%
CAYLLOMA 61
1.4%
CAÑETE 11
0.2%
CELENDIN 11
0.2%
CHACHAPOYAS 48
1.1%
CHICLAYO 17
0.4%
CHINCHA 66
1.5%
CHINCHEROS 85
1.9%
CHOTA 51
1.2%
CHUCUITO 62
1.4%
CHUMBIVILCAS 63
1.4%
CHUPACA 13
0.3%
CHURCAMPA 49
1.1%
CONCEPCION 32
0.7%
CONDESUYOS 19
0.4%
CONTRALMIRANTE VILLAR 36
0.8%
CONTUMAZA 8
0.2%
CORONEL PORTILLO 4
0.1%
CORONGO 2
0%
COTABAMBAS 31
0.7%
CUTERVO 22
0.5%
DANIEL ALCIDES CARRION 69
1.6%
DOS DE MAYO 45
1%
EL COLLAO 53
1.2%
EL DORADO 13
0.3%
ESPINAR 17
0.4%
FERREÑAFE 111
2.5%
GENERAL SANCHEZ CERRO 48
1.1%
GRAN CHIMU 5
0.1%
GRAU 29
0.7%
HUACAYBAMBA 5
0.1%
HUALGAYOC 14
0.3%
HUALLAGA 6
0.1%
HUAMALIES 19
0.4%
HUAMANGA 92
2.1%
HUANCA SANCOS 25
0.6%
HUANCABAMBA 84
1.9%
HUANCANE 26
0.6%
HUANCAVELICA 107
2.4%
HUANCAYO 26
0.6%
HUANTA 42
1%
HUANUCO 19
0.4%
HUARAL 25
0.6%
HUARAZ 23
0.5%
HUARI 3
0.1%
HUAROCHIRI 55
1.2%
HUAURA 4
0.1%
HUAYLAS 6
0.1%
HUAYTARA 76
1.7%
ICA 3
0.1%
ISLAY 1
0%
JAEN 1
0%
JAUJA 49
1.1%
JORGE BASADRE 13
0.3%
JULCAN 12
0.3%
JUNIN 3
0.1%
LA CONVENCIÓN 8
0.2%
LA MAR 38
0.9%
LA UNION 13
0.3%
LAMAS 6
0.1%
LAMBAYEQUE 25
0.6%
LAMPA 1
0%
LAURICOCHA 80
1.8%
LEONCIO PRADO 1
0%
LIMA 6
0.1%
LUCANAS 81
1.8%
LUYA 17
0.4%
MANU 1
0%
MARAÑON 5
0.1%
MARISCAL LUZURIAGA 5
0.1%
MARISCAL NIETO 122
2.8%
MARISCAL RAMÓN CASTILLA 1
0%
MAYNAS 1
0%
MELGAR 24
0.5%
MOHO 18
0.4%
MORROPON 28
0.6%
MOYOBAMBA 27
0.6%
NAZCA 1
0%
OTUZCO 33
0.7%
OXAPAMPA 39
0.9%
OYON 4
0.1%
PACHITEA 56
1.3%
PADRE ABAD 6
0.1%
PALLASCA 2
0%
PALPA 4
0.1%
PARINACOCHAS 68
1.5%
PARURO 15
0.3%
PASCO 232
5.3%
PATAZ 1
0%
PAUCAR DEL SARA SARA 6
0.1%
PAUCARTAMBO 6
0.1%
PISCO 15
0.3%
PIURA 1
0%
PUERTO INCA 56
1.3%
PUNO 76
1.7%
QUISPICANCHI 27
0.6%
RECUAY 8
0.2%
RIOJA 14
0.3%
RODRIGUEZ DE MENDOZA 6
0.1%
SAN ANTONIO DE PUTINA 2
0%
SAN IGNACIO 4
0.1%
SAN MARTIN 5
0.1%
SAN MIGUEL 17
0.4%
SAN PABLO 7
0.2%
SAN ROMAN 29
0.7%
SANCHEZ CARRION 15
0.3%
SANDIA 3
0.1%
SANTA 17
0.4%
SANTA CRUZ 11
0.2%
SANTIAGO DE CHUCO 18
0.4%
SATIPO 2
0%
SIHUAS 1
0%
SUCRE 3
0.1%
SULLANA 3
0.1%
TACNA 32
0.7%
TALARA 5
0.1%
TAMBOPATA 12
0.3%
TARATA 20
0.5%
TARMA 6
0.1%
TAYACAJA 54
1.2%
TOCACHE 8
0.2%
TRUJILLO 2
0%
TUMBES 16
0.4%
UCAYALI 4
0.1%
URUBAMBA 5
0.1%
UTCUBAMBA 41
0.9%
VICTOR FAJARDO 21
0.5%
VILCAS HUAMAN 15
0.3%
VIRU 1
0%
YAROWILCA 45
1%
YAULI 11
0.2%
YAUYOS 51
1.2%
YUNGAY 5
0.1%
YUNGUYO 4
0.1%
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.