Encuesta Nacional Agropecuaria 2017
Peru, 2017
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Jan 16, 2021
Last modified
Jan 16, 2021
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- 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: 23_ESPACIAL
Overview
Valid:
2086
Invalid:
0
Type:
Discrete
Start:
28
End:
52
Width:
25
Range:
-
Format:
character
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| ABANCAY | 12 |
0.6%
|
|
| ACOBAMBA | 12 |
0.6%
|
|
| ACOMAYO | 2 |
0.1%
|
|
| AIJA | 1 |
0%
|
|
| ALTO AMAZONAS | 11 |
0.5%
|
|
| AMBO | 7 |
0.3%
|
|
| ANDAHUAYLAS | 34 |
1.6%
|
|
| ANGARAES | 12 |
0.6%
|
|
| ANTA | 10 |
0.5%
|
|
| ANTABAMBA | 3 |
0.1%
|
|
| ANTONIO RAYMONDI | 2 |
0.1%
|
|
| AREQUIPA | 22 |
1.1%
|
|
| ASCOPE | 3 |
0.1%
|
|
| ASUNCION | 1 |
0%
|
|
| ATALAYA | 14 |
0.7%
|
|
| AYABACA | 20 |
1%
|
|
| AYMARAES | 8 |
0.4%
|
|
| AZANGARO | 15 |
0.7%
|
|
| BAGUA | 11 |
0.5%
|
|
| BARRANCA | 7 |
0.3%
|
|
| BELLAVISTA | 7 |
0.3%
|
|
| BOLIVAR | 3 |
0.1%
|
|
| BOLOGNESI | 1 |
0%
|
|
| BONGARA | 6 |
0.3%
|
|
| CA?ÑETE | 5 |
0.2%
|
|
| CA?æETE | 13 |
0.6%
|
|
| CAJABAMBA | 7 |
0.3%
|
|
| CAJAMARCA | 14 |
0.7%
|
|
| CAJATAMBO | 3 |
0.1%
|
|
| CALCA | 8 |
0.4%
|
|
| CALLAO | 1 |
0%
|
|
| CAMANA | 5 |
0.2%
|
|
| CANAS | 4 |
0.2%
|
|
| CANCHIS | 9 |
0.4%
|
|
| CANDARAVE | 13 |
0.6%
|
|
| CANGALLO | 9 |
0.4%
|
|
| CANTA | 3 |
0.1%
|
|
| CARABAYA | 5 |
0.2%
|
|
| CARAVELI | 4 |
0.2%
|
|
| CARHUAZ | 13 |
0.6%
|
|
| CARLOS FERMIN FITZCARRALD | 5 |
0.2%
|
|
| CASMA | 4 |
0.2%
|
|
| CASTILLA | 10 |
0.5%
|
|
| CASTROVIRREYNA | 4 |
0.2%
|
|
| CAYLLOMA | 26 |
1.2%
|
|
| CELENDIN | 7 |
0.3%
|
|
| CHACHAPOYAS | 18 |
0.9%
|
|
| CHANCHAMAYO | 9 |
0.4%
|
|
| CHEPEN | 3 |
0.1%
|
|
| CHICLAYO | 14 |
0.7%
|
|
| CHINCHA | 22 |
1.1%
|
|
| CHINCHEROS | 15 |
0.7%
|
|
| CHOTA | 13 |
0.6%
|
|
| CHUCUITO | 12 |
0.6%
|
|
| CHUMBIVILCAS | 10 |
0.5%
|
|
| CHUPACA | 11 |
0.5%
|
|
| CHURCAMPA | 12 |
0.6%
|
|
| CONCEPCION | 10 |
0.5%
|
|
| CONDESUYOS | 7 |
0.3%
|
|
| CONDORCANQUI | 6 |
0.3%
|
|
| CONTRALMIRANTE VILLAR | 6 |
0.3%
|
|
| CONTUMAZA | 3 |
0.1%
|
|
| CORONEL PORTILLO | 35 |
1.7%
|
|
| CORONGO | 1 |
0%
|
|
| COTABAMBAS | 11 |
0.5%
|
|
| CUSCO | 1 |
0%
|
|
| CUTERVO | 13 |
0.6%
|
|
| DANIEL ALCIDES CARRION | 18 |
0.9%
|
|
| DATEM DEL MARA?Ñ?áN | 4 |
0.2%
|
|
| DATEM DEL MARA?æ?ôN | 7 |
0.3%
|
|
| DOS DE MAYO | 8 |
0.4%
|
|
| EL COLLAO | 9 |
0.4%
|
|
| EL DORADO | 4 |
0.2%
|
|
| ESPINAR | 3 |
0.1%
|
|
| FERRE?ÑAFE | 6 |
0.3%
|
|
| FERRE?æAFE | 22 |
1.1%
|
|
| GENERAL SANCHEZ CERRO | 41 |
2%
|
|
| GRAN CHIMU | 7 |
0.3%
|
|
| GRAU | 7 |
0.3%
|
|
| HUACAYBAMBA | 5 |
0.2%
|
|
| HUALGAYOC | 4 |
0.2%
|
|
| HUALLAGA | 5 |
0.2%
|
|
| HUAMALIES | 12 |
0.6%
|
|
| HUAMANGA | 17 |
0.8%
|
|
| HUANCA SANCOS | 2 |
0.1%
|
|
| HUANCABAMBA | 29 |
1.4%
|
|
| HUANCANE | 12 |
0.6%
|
|
| HUANCAVELICA | 22 |
1.1%
|
|
| HUANCAYO | 16 |
0.8%
|
|
| HUANTA | 16 |
0.8%
|
|
| HUANUCO | 21 |
1%
|
|
| HUARAL | 14 |
0.7%
|
|
| HUARAZ | 16 |
0.8%
|
|
| HUARI | 11 |
0.5%
|
|
| HUARMEY | 1 |
0%
|
|
| HUAROCHIRI | 11 |
0.5%
|
|
| HUAURA | 9 |
0.4%
|
|
| HUAYLAS | 7 |
0.3%
|
|
| HUAYTARA | 9 |
0.4%
|
|
| ICA | 40 |
1.9%
|
|
| ILO | 1 |
0%
|
|
| ISLAY | 4 |
0.2%
|
|
| JAEN | 5 |
0.2%
|
|
| JAUJA | 18 |
0.9%
|
|
| JORGE BASADRE | 8 |
0.4%
|
|
| JULCAN | 6 |
0.3%
|
|
| JUNIN | 4 |
0.2%
|
|
| LA CONVENCI?áN | 6 |
0.3%
|
|
| LA CONVENCI?ôN | 13 |
0.6%
|
|
| LA MAR | 13 |
0.6%
|
|
| LA UNION | 8 |
0.4%
|
|
| LAMAS | 11 |
0.5%
|
|
| LAMBAYEQUE | 42 |
2%
|
|
| LAMPA | 2 |
0.1%
|
|
| LAURICOCHA | 5 |
0.2%
|
|
| LEONCIO PRADO | 5 |
0.2%
|
|
| LIMA | 8 |
0.4%
|
|
| LORETO | 9 |
0.4%
|
|
| LUCANAS | 10 |
0.5%
|
|
| LUYA | 29 |
1.4%
|
|
| MANU | 11 |
0.5%
|
|
| MARA?ÑON | 2 |
0.1%
|
|
| MARA?æON | 5 |
0.2%
|
|
| MARISCAL CACERES | 6 |
0.3%
|
|
| MARISCAL LUZURIAGA | 3 |
0.1%
|
|
| MARISCAL NIETO | 44 |
2.1%
|
|
| MARISCAL RAM?áN CASTILLA | 2 |
0.1%
|
|
| MARISCAL RAM?ôN CASTILLA | 7 |
0.3%
|
|
| MAYNAS | 23 |
1.1%
|
|
| MELGAR | 3 |
0.1%
|
|
| MOHO | 2 |
0.1%
|
|
| MORROPON | 12 |
0.6%
|
|
| MOYOBAMBA | 17 |
0.8%
|
|
| NAZCA | 7 |
0.3%
|
|
| OTUZCO | 21 |
1%
|
|
| OXAPAMPA | 22 |
1.1%
|
|
| OYON | 1 |
0%
|
|
| PACASMAYO | 6 |
0.3%
|
|
| PACHITEA | 9 |
0.4%
|
|
| PADRE ABAD | 28 |
1.3%
|
|
| PAITA | 2 |
0.1%
|
|
| PALLASCA | 3 |
0.1%
|
|
| PALPA | 3 |
0.1%
|
|
| PARINACOCHAS | 7 |
0.3%
|
|
| PARURO | 8 |
0.4%
|
|
| PASCO | 40 |
1.9%
|
|
| PATAZ | 7 |
0.3%
|
|
| PAUCAR DEL SARA SARA | 3 |
0.1%
|
|
| PAUCARTAMBO | 7 |
0.3%
|
|
| PICOTA | 9 |
0.4%
|
|
| PISCO | 13 |
0.6%
|
|
| PIURA | 19 |
0.9%
|
|
| POMABAMBA | 4 |
0.2%
|
|
| PUERTO INCA | 4 |
0.2%
|
|
| PUNO | 17 |
0.8%
|
|
| PUR?ÜS | 1 |
0%
|
|
| QUISPICANCHI | 10 |
0.5%
|
|
| RECUAY | 4 |
0.2%
|
|
| REQUENA | 8 |
0.4%
|
|
| RIOJA | 8 |
0.4%
|
|
| RODRIGUEZ DE MENDOZA | 5 |
0.2%
|
|
| SAN ANTONIO DE PUTINA | 2 |
0.1%
|
|
| SAN IGNACIO | 11 |
0.5%
|
|
| SAN MARCOS | 5 |
0.2%
|
|
| SAN MARTIN | 6 |
0.3%
|
|
| SAN MIGUEL | 7 |
0.3%
|
|
| SAN PABLO | 3 |
0.1%
|
|
| SAN ROMAN | 5 |
0.2%
|
|
| SANCHEZ CARRION | 25 |
1.2%
|
|
| SANDIA | 14 |
0.7%
|
|
| SANTA | 13 |
0.6%
|
|
| SANTA CRUZ | 6 |
0.3%
|
|
| SANTIAGO DE CHUCO | 9 |
0.4%
|
|
| SATIPO | 10 |
0.5%
|
|
| SECHURA | 4 |
0.2%
|
|
| SIHUAS | 4 |
0.2%
|
|
| SUCRE | 1 |
0%
|
|
| SULLANA | 11 |
0.5%
|
|
| TACNA | 48 |
2.3%
|
|
| TAHUAMANU | 15 |
0.7%
|
|
| TALARA | 1 |
0%
|
|
| TAMBOPATA | 33 |
1.6%
|
|
| TARATA | 13 |
0.6%
|
|
| TARMA | 9 |
0.4%
|
|
| TAYACAJA | 19 |
0.9%
|
|
| TOCACHE | 11 |
0.5%
|
|
| TRUJILLO | 3 |
0.1%
|
|
| TUMBES | 42 |
2%
|
|
| UCAYALI | 9 |
0.4%
|
|
| URUBAMBA | 5 |
0.2%
|
|
| UTCUBAMBA | 15 |
0.7%
|
|
| VICTOR FAJARDO | 9 |
0.4%
|
|
| VILCAS HUAMAN | 2 |
0.1%
|
|
| VIRU | 5 |
0.2%
|
|
| YAROWILCA | 7 |
0.3%
|
|
| YAULI | 1 |
0%
|
|
| YAUYOS | 10 |
0.5%
|
|
| YUNGAY | 10 |
0.5%
|
|
| YUNGUYO | 4 |
0.2%
|
|
| ZARUMILLA | 16 |
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 determinar el nombre de 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