National Agricultural Survey 2017
Peru, 2017
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Reference ID
PER_2017_ENA_v01_EN_M_v01_A_OCS
Producer(s)
National Institute of Statistics and Informatics, National Directorate of Censuses and Surveys
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Mar 26, 2020
Last modified
Jan 26, 2023
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Identification
Survey ID Number
PER_2017_ENA_v01_EN_M_v01_A_OCS
Title
National Agricultural Survey 2017
Country
| Name | Country code |
|---|---|
| Peru | PER |
Study type
Agricultural Survey [ag/oth]
Series Information
In Peru, since 2014 the National Agricultural Survey has been running, with which there is information for the construction of indicators of the agricultural sector that will allow the elaboration of a baseline, from which to monitor the gaps specifically existing in medium and small agricultural producers. Likewise, it allows us to know the main structural and dynamic characteristics of small, medium and large agricultural units.
This is the fourth survey of its kind, following the National Agricultural Survey in 2014, 2015 and 2016.
This is the fourth survey of its kind, following the National Agricultural Survey in 2014, 2015 and 2016.
Abstract
The National Institute of Statistics and Informatics (INEI), the governing body of the National Statistical System, in a strategic alliance with the Ministry of Economy and Finance (MEF) and in coordination with the Ministry of Agriculture and Irrigation (MINAGRI), has been executing the National Agricultural Survey (ENA), in the 24 regions of the country.
The fundamental purpose of the survey is to obtain statistical information that allows the characterizing of small, medium, and large agricultural units of the country. The survey is also used to generate updated information for the construction of indicators that facilitate the monitoring and evaluation of the different budgetary programs, within the framework of the budget for results that the MEF has been developing in the public sector. In this way, it contributes to the design and orientation of public policies for the improvement of the living conditions of this sector of the population, especially the small and medium-sized agricultural producers.
The survey had the following objectives:
General objectives:
- To have statistical information that allows characterizing the small, medium and large agricultural units of the country.
- To generate information for the construction of indicators of the agricultural sector, within the framework of a results-based budget, that allow for the continuous evaluation of the evolution of said indicators and contribute to the design and orientation of public policies for the improvement of the living conditions of the population, especially small and medium-sized agricultural producers.
Specific objectives:
- Determine the percentage of agricultural producers who carry out adequate agricultural and livestock practices.
- Obtain information from agricultural producers who carry out an appropriate sowing orientation.
- Determine the percentage of agricultural producers who have carried out soil analyzes and received technical assistance to implement the results of said analysis in the last three years.
- Percentage of agricultural producers who have received technical assistance on the installation and management of pastures and apply it, in the last three years.
- Percentage of agricultural producers who have been trained in pasture installation and management in the last three years.
- Obtain the percentage of agricultural producers that apply technical irrigation.
- Estimate the agricultural area with technical irrigation.
- Determine the percentage of agricultural producers informed on issues of agri-food safety.
- Obtain a baseline to measure the percentage increase in gross profit from sales of small producers.
- Determine the percentage of agricultural producers organized and managing their organizations business.
- Obtain a baseline to measure the percentage increase in the sales value of small subsistence agricultural producers.
- Obtain the percentage of organized small-scale agricultural producers that access storage infrastructure and equipment for commercialization.
The fundamental purpose of the survey is to obtain statistical information that allows the characterizing of small, medium, and large agricultural units of the country. The survey is also used to generate updated information for the construction of indicators that facilitate the monitoring and evaluation of the different budgetary programs, within the framework of the budget for results that the MEF has been developing in the public sector. In this way, it contributes to the design and orientation of public policies for the improvement of the living conditions of this sector of the population, especially the small and medium-sized agricultural producers.
The survey had the following objectives:
General objectives:
- To have statistical information that allows characterizing the small, medium and large agricultural units of the country.
- To generate information for the construction of indicators of the agricultural sector, within the framework of a results-based budget, that allow for the continuous evaluation of the evolution of said indicators and contribute to the design and orientation of public policies for the improvement of the living conditions of the population, especially small and medium-sized agricultural producers.
Specific objectives:
- Determine the percentage of agricultural producers who carry out adequate agricultural and livestock practices.
- Obtain information from agricultural producers who carry out an appropriate sowing orientation.
- Determine the percentage of agricultural producers who have carried out soil analyzes and received technical assistance to implement the results of said analysis in the last three years.
- Percentage of agricultural producers who have received technical assistance on the installation and management of pastures and apply it, in the last three years.
- Percentage of agricultural producers who have been trained in pasture installation and management in the last three years.
- Obtain the percentage of agricultural producers that apply technical irrigation.
- Estimate the agricultural area with technical irrigation.
- Determine the percentage of agricultural producers informed on issues of agri-food safety.
- Obtain a baseline to measure the percentage increase in gross profit from sales of small producers.
- Determine the percentage of agricultural producers organized and managing their organizations business.
- Obtain a baseline to measure the percentage increase in the sales value of small subsistence agricultural producers.
- Obtain the percentage of organized small-scale agricultural producers that access storage infrastructure and equipment for commercialization.
Kind of Data
Sample survey data [ssd]
Unit of Analysis
Agricultural holdings
Scope
Notes
The description of the scope includes:
1. Characteristics of the agricultural holding
2. Crop area - planting and harvesting
3. Agricultural practices
4. Livestock production
5. Good livestock practices
6. Food safety
7. Agricultural extension services
8. Organization/Association membership
9. Access to financial services
10. Production costs
11. Socio-economic characteristics of household
1. Characteristics of the agricultural holding
2. Crop area - planting and harvesting
3. Agricultural practices
4. Livestock production
5. Good livestock practices
6. Food safety
7. Agricultural extension services
8. Organization/Association membership
9. Access to financial services
10. Production costs
11. Socio-economic characteristics of household
Topics
| Topic |
|---|
| Agricultural production |
| Livestock production |
Keywords
| Keyword |
|---|
| Agricultural holding |
| Plot |
| Agricultural producer |
| Agricultural practices |
| Livestock enterprise |
| Food safety |
| Enumeration area |
| Agricultural district |
| Large producers |
| Agricultural enterprise |
Coverage
Geographic Coverage
National Coverage
Universe
The survey covers all the agricultural units of the country with less than 50 ha and the agricultural units that are agricultural or farming enterprises.
Producers and sponsors
Primary investigators
| Name | Affiliation |
|---|---|
| National Institute of Statistics and Informatics | Government of Peru |
| National Directorate of Censuses and Surveys | National Institute of Statistics and Informatics |
Producers
| Name | Affiliation | Role |
|---|---|---|
| Ministry of Agriculture and Irrigation | Government of Peru | Technical Assistance |
| Ministry of Economy and Finance | Government of Peru | Technical Assistance |
Funding Agency/Sponsor
| Name | Abbreviation | Role |
|---|---|---|
| Ministry of Economic and Finance | MEF | Financing |
Sampling
Sampling Procedure
The sampling frame for the selection of the survey sample is made up of statistical and cartographic information from the IV National Census of Agriculture 2012 (IV CENAGRO 2012).
The total sample of the National Agricultural Survey is 30,755 agricultural units, comprising of 29,218 agricultural units for medium and small producers; and 1,537 agricultural units for large agricultural producers and enterprises.
The total sample of the National Agricultural Survey is 30,755 agricultural units, comprising of 29,218 agricultural units for medium and small producers; and 1,537 agricultural units for large agricultural producers and enterprises.
Response Rate
The non-response rate of the 2017 National Agricultural Survey of small and medium producers is 0.43%, while that of large producers is 1.69%.
Data Collection
Dates of Data Collection
| Start | End |
|---|---|
| 2017-05-23 | 2017-10-31 |
Data Collection Mode
Computer Assisted Personal Interview [capi]
Data Appraisal
Data Appraisal
The tasks carried out in the information processing are described below.
1. DATA CAPTURE
The data capture in the National Agricultural Survey 2017 was through the digital form captured in a tablet application which was validated by a team of consistency analysts to ensure that they do not present difficulties during the field operation.
With this process, the survey official first filled out the digital form, then at the end of the interview he was instructed to export the database of the agricultural unit and send it to the central headquarters servers after reviewing the information completed, to which was directed to look for an internet booth, from where using the address, username and password, he proceeded to send said information through an integrated information system via the web.
For the daily income it was not necessary that the questionnaire be complete, so the application allowed him to modify the information as many times as necessary, but only until the information is completed, at which time he should save the information by placing the agricultural unit in "Closed" status so that the system can proceed with its consistency.
If once closed, it was necessary to modify the information, this process was only possible, through the computer team, who coordinated the cases with the consistency area and, according to their need, proceeded to correct them.
2. BASIC CONSISTENCY
Coverage: The coverage process is carried out by the INEI Consistency staff, consisting of the crossing of information between the framework and what was actually found in the field. In the case of the National Agricultural Survey, we worked in two stages according to the natural region; First stage: Sierra; Second stage: Costa-Selva. The progress of coverage at the national level was monitored from the Lima headquarters through a series of reports, which guaranteed that the agricultural units are covered and consistent according to their natural region.
Structure: The structure process is carried out by INEI's OTIN staff. This process consisted of ensuring the integrity of the chapters that correspond to each agricultural unit according to their agricultural activity carried out by that agricultural producer in the reference period.
Basic consistency: Basic consistency is performed by the ENA and OTIN consistency staff together. The consistency analyst defines a set of flow rules, default values, etc. that apply to the database. The OTIN programmer implements and incorporates these rules into the basic consistency application. The process operators execute the basic consistency application and the consistency analyst verifies the obtained result.
3. CODING
The coding process is automatic in the tablet application, however there are cases in which the interviewer was unable to determine the name and / or type of the crop, sub product and / or derivative, in these cases the coding is carried out by INEI's coding analysts and OTIN process operators using an interface to assign their corresponding codes in the database.
4. CONSISTENCY
Consistency is performed by ENA and OTIN Consistency staff together. The consistency analyst defines a set of consistency rules that apply to the database. The OTIN developer implements and incorporates these rules into the consistency application. The process operators execute the consistency application and the consistency analyst verifies the obtained result. To facilitate the work of process operators, the process application for data processing was implemented, which consolidates in a single application all the processes involved in this task. Consistency was also a parallel action with the collection of information because, when entered into the survey database in a timely manner, it was immediately reviewed, consistent, verified and if errors or omissions were detected, they were gradually delivered to the operational headquarters for their timely recovery, correction and / or verification in the field and, if necessary, the information was returned to the headquarters.
5. RESULTS
Generation of results: 23 data tables were generated according to each chapter of the form, each identified with a unique identifier (ID) in each table.
6. PRODUCTS
From the database of the definitive results of the National Agricultural Survey, the microdata is generated as a product in the SPSS Database, which includes all the chapters and sections of the virtual form.
1. DATA CAPTURE
The data capture in the National Agricultural Survey 2017 was through the digital form captured in a tablet application which was validated by a team of consistency analysts to ensure that they do not present difficulties during the field operation.
With this process, the survey official first filled out the digital form, then at the end of the interview he was instructed to export the database of the agricultural unit and send it to the central headquarters servers after reviewing the information completed, to which was directed to look for an internet booth, from where using the address, username and password, he proceeded to send said information through an integrated information system via the web.
For the daily income it was not necessary that the questionnaire be complete, so the application allowed him to modify the information as many times as necessary, but only until the information is completed, at which time he should save the information by placing the agricultural unit in "Closed" status so that the system can proceed with its consistency.
If once closed, it was necessary to modify the information, this process was only possible, through the computer team, who coordinated the cases with the consistency area and, according to their need, proceeded to correct them.
2. BASIC CONSISTENCY
Coverage: The coverage process is carried out by the INEI Consistency staff, consisting of the crossing of information between the framework and what was actually found in the field. In the case of the National Agricultural Survey, we worked in two stages according to the natural region; First stage: Sierra; Second stage: Costa-Selva. The progress of coverage at the national level was monitored from the Lima headquarters through a series of reports, which guaranteed that the agricultural units are covered and consistent according to their natural region.
Structure: The structure process is carried out by INEI's OTIN staff. This process consisted of ensuring the integrity of the chapters that correspond to each agricultural unit according to their agricultural activity carried out by that agricultural producer in the reference period.
Basic consistency: Basic consistency is performed by the ENA and OTIN consistency staff together. The consistency analyst defines a set of flow rules, default values, etc. that apply to the database. The OTIN programmer implements and incorporates these rules into the basic consistency application. The process operators execute the basic consistency application and the consistency analyst verifies the obtained result.
3. CODING
The coding process is automatic in the tablet application, however there are cases in which the interviewer was unable to determine the name and / or type of the crop, sub product and / or derivative, in these cases the coding is carried out by INEI's coding analysts and OTIN process operators using an interface to assign their corresponding codes in the database.
4. CONSISTENCY
Consistency is performed by ENA and OTIN Consistency staff together. The consistency analyst defines a set of consistency rules that apply to the database. The OTIN developer implements and incorporates these rules into the consistency application. The process operators execute the consistency application and the consistency analyst verifies the obtained result. To facilitate the work of process operators, the process application for data processing was implemented, which consolidates in a single application all the processes involved in this task. Consistency was also a parallel action with the collection of information because, when entered into the survey database in a timely manner, it was immediately reviewed, consistent, verified and if errors or omissions were detected, they were gradually delivered to the operational headquarters for their timely recovery, correction and / or verification in the field and, if necessary, the information was returned to the headquarters.
5. RESULTS
Generation of results: 23 data tables were generated according to each chapter of the form, each identified with a unique identifier (ID) in each table.
6. PRODUCTS
From the database of the definitive results of the National Agricultural Survey, the microdata is generated as a product in the SPSS Database, which includes all the chapters and sections of the virtual form.
Access policy
Contacts
| Name | Affiliation | URL | |
|---|---|---|---|
| Roberto Quijano Luzardo | National Institute of Statistics and Informatics | [email protected] | Link |
Confidentiality
The National Agricultural Survey 2016, maintains the confidentiality of the information collected, protected by Supreme Decree 043-2001-PCM that mentions that the information provided by the sources is secret and cannot be revealed individually, even if there is an administrative or judicial order.
STATISTICAL CONFIDENTIALITY AND DATA PRIVACY.
Supreme Decree No. 043-2001-PCM Art. 97.
The information provided by the sources is of a secret nature and may not be disclosed individually, even by administrative or judicial order. It may only be disclosed or published in an unnamed form. The information provided may not be used for tax or police purposes either.
Access conditions
The INEI makes all the information contained on the web site available to users, on an individual basis, as an end-user licence. Any commercialisation of this right of access is therefore prohibited. The INEI does not undertake to update the information immediately and reserves the right to modify, increase, update, change or correct any omission or information contained on this website at any time.
Citation requirements
The INEI authorizes the use of the information whenever the source is cited. (Source: National Institute of Statistics and Informatics - National Agricultural Survey 2017).
Therefore, the copying or reproduction of the information contained in any electronic medium (networks, databases or electronic publications) that allows the availability of this information to multiple users without the prior written consent of INEI is totally prohibited.
Therefore, the copying or reproduction of the information contained in any electronic medium (networks, databases or electronic publications) that allows the availability of this information to multiple users without the prior written consent of INEI is totally prohibited.
Disclaimer and copyrights
Disclaimer
1. Supreme Decree No. 043-2001-PCM: Regulations on the Organisation and Functions of the INEI and R.J. No. 108-94 /INEI approving Directive No. 006-94-INEI/DNEB "Regulations on the application of fines, for failure to provide statistical information, requested by the bodies of the National Statistics System".
Mandatory:
Supreme Decree No. 043-2001-PCM Art. 81
The sources of statistical information of the National System of Statistics are the natural or legal persons that are in the country, which are obliged to provide the information of statistical use to the organs of the System, in the form, terms and deadlines that are set, in forms approved by the Head of the INEI and published in the official newspaper "El Peruano". Likewise, the administrative records of the Public Sector are sources of information. This obligation does not apply to sources whose information is considered classified and affects national security.
Sanctions:
Supreme Decree No. 043-2001-PCM Art. 87.
Natural or legal persons who refuse to provide data, maliciously falsify the truth, or unjustifiably delay the established terms, will be liable for the fines established in Article 89, without prejudice to any civil or criminal liability.
Supreme Decree No. 043-2001-PCM Article 88.
Fines will be applied by the governing body of the National System of Statistics and Information Technology for the purpose of improving statistical production.
Supreme Decree No. 043-2001-PCM Article 89.
In order to sanction the non-compliance with the requested information, the following fines are established:
a) Natural persons: from 1% to 50% of the ITU in force at the date of cancellation
b) Legal entities: from 10 % of the ITU to 10 ITU at the date of cancellation Art. 93
The payment of the fine does not exempt the sources from the obligation to provide the requested information. Consequently, whether or not payment of the fine has been made, it may be applied as often as the obligation is not fulfilled.
Supreme Decree No. 043-2001-PCM Article 91
The INEI, by means of a Sub-Jefatural Resolution published in the official newspaper El Peruano, will make known the list of natural and legal persons affected by the fine; by means of a Jefatural Resolution the appeal is determined in the last instance.
Supreme Decree No. 043-2001-PCM Article 93
The payment of the fine does not exempt the sources from the obligation to provide the requested information. Consequently, whether or not payment of the fine has been made, it may be applied as often as the obligation is not fulfilled.
Supreme Decree No. 043-2001-PCM Article 94
The fines will be paid at the Banco de la Nación, in the current account No. 20131369981 that the INEI has opened for this purpose.
2. Supreme Decree No. 043-2001-PCM on Statistical Secrecy and Confidentiality of Information
The INEI does not guarantee the operation of the communications network and therefore does not assume responsibility for the availability of this service. The data server may be disconnected without prior notice. Every effort will be made to keep the impact of maintenance tasks to a minimum. Likewise, it is not responsible for any damage or harm suffered by the user derived from the access to this server or from the use of information or applications contained in it.
Mandatory:
Supreme Decree No. 043-2001-PCM Art. 81
The sources of statistical information of the National System of Statistics are the natural or legal persons that are in the country, which are obliged to provide the information of statistical use to the organs of the System, in the form, terms and deadlines that are set, in forms approved by the Head of the INEI and published in the official newspaper "El Peruano". Likewise, the administrative records of the Public Sector are sources of information. This obligation does not apply to sources whose information is considered classified and affects national security.
Sanctions:
Supreme Decree No. 043-2001-PCM Art. 87.
Natural or legal persons who refuse to provide data, maliciously falsify the truth, or unjustifiably delay the established terms, will be liable for the fines established in Article 89, without prejudice to any civil or criminal liability.
Supreme Decree No. 043-2001-PCM Article 88.
Fines will be applied by the governing body of the National System of Statistics and Information Technology for the purpose of improving statistical production.
Supreme Decree No. 043-2001-PCM Article 89.
In order to sanction the non-compliance with the requested information, the following fines are established:
a) Natural persons: from 1% to 50% of the ITU in force at the date of cancellation
b) Legal entities: from 10 % of the ITU to 10 ITU at the date of cancellation Art. 93
The payment of the fine does not exempt the sources from the obligation to provide the requested information. Consequently, whether or not payment of the fine has been made, it may be applied as often as the obligation is not fulfilled.
Supreme Decree No. 043-2001-PCM Article 91
The INEI, by means of a Sub-Jefatural Resolution published in the official newspaper El Peruano, will make known the list of natural and legal persons affected by the fine; by means of a Jefatural Resolution the appeal is determined in the last instance.
Supreme Decree No. 043-2001-PCM Article 93
The payment of the fine does not exempt the sources from the obligation to provide the requested information. Consequently, whether or not payment of the fine has been made, it may be applied as often as the obligation is not fulfilled.
Supreme Decree No. 043-2001-PCM Article 94
The fines will be paid at the Banco de la Nación, in the current account No. 20131369981 that the INEI has opened for this purpose.
2. Supreme Decree No. 043-2001-PCM on Statistical Secrecy and Confidentiality of Information
The INEI does not guarantee the operation of the communications network and therefore does not assume responsibility for the availability of this service. The data server may be disconnected without prior notice. Every effort will be made to keep the impact of maintenance tasks to a minimum. Likewise, it is not responsible for any damage or harm suffered by the user derived from the access to this server or from the use of information or applications contained in it.
Metadata production
DDI Document ID
DDI_PER_2017_ENA_v01_EN_M_v01_A_OCS_FAO
Producers
| Name | Abbreviation | Affiliation | Role |
|---|---|---|---|
| Office of Chief Statistician | OCS | Food and Agriculture Organization | Metadata adapted for FAM |
| National Institute of Statistics and Informatics | INEI | Government of Peru | |
| National Directorate of Censuses and Surveys | DNCE | National Institute of Statistics and Informatics | Statistical research producer |
| Research and Development Centre | CIDE | National Institute of Statistics and Informatics | Documentation, review and validation of the metadata |
DDI Document version
PER_2017_ENA_v01_EN_M_v01_A_OCS_v01