National Census of Agriculture 2012
Peru, 2012
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Reference ID
PER_2012_CENAGRO_EN_M_v01_OCS
Producer(s)
National Institute of Statistics and Informatics
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Identification
Survey ID Number
PER_2012_CENAGRO_EN_M_v01_OCS
Title
National Census of Agriculture 2012
Translated Title
National Census of Agriculture 2012
Country
| Name | Country code |
|---|---|
| Peru | PER |
Study type
Agricultural Census [ag/census]
Series Information
In Peru, (before executing the IV CENAGRO) three agricultural censuses had been carried out, in 1961, 1972 and 1994. After eighteen years had elapsed and taking into account the profound transformations that occurred in the national agricultural sector during that period, it was necessary to know the characteristics and implications of these changes.
In accordance with Law No. 13248 "Census Law", in 1961, the first National Census of Agriculture was conducted jointly with the IV Population Census and I National Housing Census. Eleven years later, in 1972, the Second National Census of Agriculture was carried out independently of the VII Population Census and the II Housing Census, which were also conducted this year. The Third National Census of Agriculture, III CENAGRO, was carried out.
On October 14, 2011, through Emergency Decree No. 055-2011, the IV National Census of Agriculture (IV CENAGRO) was declared of national interest and priority and the National Institute of Statistics and Informatics (INEI) was entrusted with its execution. Emergency Decree No. 055-2011, establishes that the Consultative Commission of IV CENAGRO should conform, under the presidency of the Ministry of Agriculture and Irrigation and the vice-presidency of the INEI. The Ministry of Agriculture and Irrigation and the National Institute of Statistics and Informatics jointly carried out the planning, organizing and direction since 2011.
In accordance with Law No. 13248 "Census Law", in 1961, the first National Census of Agriculture was conducted jointly with the IV Population Census and I National Housing Census. Eleven years later, in 1972, the Second National Census of Agriculture was carried out independently of the VII Population Census and the II Housing Census, which were also conducted this year. The Third National Census of Agriculture, III CENAGRO, was carried out.
On October 14, 2011, through Emergency Decree No. 055-2011, the IV National Census of Agriculture (IV CENAGRO) was declared of national interest and priority and the National Institute of Statistics and Informatics (INEI) was entrusted with its execution. Emergency Decree No. 055-2011, establishes that the Consultative Commission of IV CENAGRO should conform, under the presidency of the Ministry of Agriculture and Irrigation and the vice-presidency of the INEI. The Ministry of Agriculture and Irrigation and the National Institute of Statistics and Informatics jointly carried out the planning, organizing and direction since 2011.
Abstract
The results of the census provide statistical information on the structure of Peru's agricultural sector, such as the number of agricultural holdings and their agricultural producers by their legal status and tenure regime. It provides information on the land parcels in accordance with the current status of the land, agricultural components, and irrigation systems. An important aspect of this study is that it provides a list of the livestock inventory, livestock practices, technical assistance, credit, and household characteristics.
The purpose of the census is to provide information on the structure of the agricultural sector in terms of the number of agricultural holdings, type of agriculture, size, spatial distribution, characteristics of tenure, land use and technology used; at the national and political-administrative divisions of the country.
More specifically, the objectives of IV CENAGRO include improving the understanding of the:
1) Basic characteristics of the agricultural holdings and of the producers that manage them
2) Characteristics of producers such as gender, access and control of productive resources and participation in peasant organizations and agricultural institutions.
3) Participation of the members of the household in agricultural work.
4) Characteristics of the livestock in the country, by species and category, at different levels of aggregation (district, province, department and national).
The purpose of the census is to provide information on the structure of the agricultural sector in terms of the number of agricultural holdings, type of agriculture, size, spatial distribution, characteristics of tenure, land use and technology used; at the national and political-administrative divisions of the country.
More specifically, the objectives of IV CENAGRO include improving the understanding of the:
1) Basic characteristics of the agricultural holdings and of the producers that manage them
2) Characteristics of producers such as gender, access and control of productive resources and participation in peasant organizations and agricultural institutions.
3) Participation of the members of the household in agricultural work.
4) Characteristics of the livestock in the country, by species and category, at different levels of aggregation (district, province, department and national).
Kind of Data
Census (cen)
Unit of Analysis
Agricultural holding
Scope
Notes
The topics in IV National Census of Agriculture are as follows:
I. Geographic and Census Location
II. Characteristics of Agricultural Producer
III. Characteristics of the agricultural holding
IV. Land Tenure and Land Use
V. Sowings realized in the agricultural holding
VI. Irrigation
VII. Main agricultural Activities
VIII. Use of Electrical, Mechanical, and Animal Energy
IX. Livestock, Birds, other animals and hives
X. Livestock practices
XI. Training and Technical Assistance
XII. Agricultural Credit
XIII. Manual labor in the agricultural holding
XIV. Agricultural Infrastructure
XV. Agricultural Producer Perceptions
XVI. Household and Producer Characteristics
I. Geographic and Census Location
II. Characteristics of Agricultural Producer
III. Characteristics of the agricultural holding
IV. Land Tenure and Land Use
V. Sowings realized in the agricultural holding
VI. Irrigation
VII. Main agricultural Activities
VIII. Use of Electrical, Mechanical, and Animal Energy
IX. Livestock, Birds, other animals and hives
X. Livestock practices
XI. Training and Technical Assistance
XII. Agricultural Credit
XIII. Manual labor in the agricultural holding
XIV. Agricultural Infrastructure
XV. Agricultural Producer Perceptions
XVI. Household and Producer Characteristics
Keywords
| Keyword | Vocabulary |
|---|---|
| Refers to the set of activities aimed at enumerating and obtaining information regarding the characteristics of agricultural holdings, throughout the entire national territory, during the census period. | National Census of Agriculture |
| The natural or legal person that is responsible for the management of the agricultural holding. The producer is the person who makes decisions regarding crops, livestock raising, management and sales of the goods produced. Similarly, the agricultural producer makes decisions regarding investments and economic risks implied by the management of the agricultural holding, and it is the person who enjoys the benefits. | Agricultural Producer |
| Any plot or set of plots that is either fully or partially used for agricultural production, regardless of size, tenure, or legal status. | Agricultural Holding |
Coverage
Geographic Coverage
The census was conducted in all districts, provinces, and departments within Peru.
Urban districts without any agricultural holdings were excluded.
Urban districts without any agricultural holdings were excluded.
Universe
All Agricultural Holdings
Producers and sponsors
Primary investigators
| Name |
|---|
| National Institute of Statistics and Informatics |
Producers
| Name |
|---|
| Ministry of Agriculture and Irrigation |
| Food and Agriculture Organization of the United Nations |
Funding Agency/Sponsor
| Name |
|---|
| Internal Funding |
Other Identifications/Acknowledgments
| Name | Role |
|---|---|
| Ministry of Agriculture and Irrigation | Technical Assistance |
Sampling
Deviations from the Sample Design
Due to social problems in the department of Cajamarca, particularly in the districts of Bambamarca, Hualgayoc y Huasmin in the provinces of Hualgayoc y CelendÃn, it was not possible to conclude 100% of the census.
Data Collection
Dates of Data Collection
| Start | End |
|---|---|
| 2012-07-06 | 2012-11-30 |
Data Collection Mode
Face-to-face paper [f2f]
Data Collectors
| Name | Abbreviation |
|---|---|
| National Institute of Statistics and Informatics | INEI |
Data Processing
Data Editing
Processing and Data Consistency
This task is comprised of a set of tasks whose main purpose is to provide the data collected in the census in an organized manner in a database, which will facilitate the analysis of the census results through tabulations. This activity has the following objectives:
- To implement a centralized process in the headquarters in the department of Lima. This is done to digitize, verify and ensure consistency of the data.
- To implement a secure network to process census records
- Computer security at the software, hardware, and communications level
- Quality control
- Use of the internet to process, monitor, and supervise the activities and processes
The functional organization of the data processing task comprises the following tasks:
Information Processing Systems:
It refers to the development of the necessary programs to record the data, code responses automatically and with assistance for the open-ended questions, to process and check the consistency of the information (coverage, flows, ranges, arithmetic-logical relationships, and cross relationships), and the tabulations that will make it possible to have consistent and coherent information necessary to satisfy the objectives of statistical research.
Quality control:
It refers to the quality assurance process that is conducted for the questions processed during each batch of work. To do so, an algorithm that automatically returns the error rates created by omitted responses and variable consistency is used. The algorithm and the design of the basic reports that the system must issue to control the coverage of the omitted data are provided by the Executive Directorate of Sampling and Sample Framework (DMMM)
Consistency of Census coverage and variables:
This phase is carried out once the district is complete; It consists of verifying that the data at all levels or geographical breaks are complete, in case of missing data, it is about locating the cards and processing until the district is completely complete. Likewise, consistency rules are applied to identify
the types of errors and generate dynamic tables as input for the next phase.
Consistency:
this task consists of verifying that the data at all levels of aggregation is complete. In the event of missing data, the missing records should be located and processed until the data is complete. Consistency rules are applied to identify the types of errors present and generate dynamic tables as input for the next phase.
The questions for which automatic codes are will be called "Automatic coding".
For records for which the alias table is applied, the assignment is done automatically and will be called "Automatic coding".
For records for which a specialist operator assigns the corresponding code, it will be referred to as "Assisted Coding".
Imputation: It consists of detecting data errors and applying consistency rules to make an automatic correction of errors or inconsistencies in the data, through the application of special programs for data correction.
DataBase:
Standardized Database: In the data processing phase (coverage, structure, consistency and imputation), the data will be organized in a standardized database, the standardization allows for smaller data structures that, in addition to being simpler and more stable, make data maintenance easier, as well as avoid data redundancy and protect data integrity.
- Final Database: It is the database generated with the fully corrected and consistent data, this database is the one used to generate the reports or statistical tables. It is planned that the unnamed database will be made available to users through the MINAG and INEI web pages.
Tabulation Generation
Tables will be generated consistently and coherently once the departmental databases are available, which enables the analysis of the final census results.
Documentation
It consists of organizing and ordering all the documentation concerning the design and implementation of the processing systems. All computer applications used must be documented, detailing what functions it performs, the files it works with (input and output), the lists it issues and the relationship it has with other components of the process.
Preparation of Reports
Refers to the management and development of reports that must be issued by those responsible for the processing tasks. These reports must be issued promptly for each task, to enable the monitoring of the progress of the activities.
This task also includes the preparation of a final report in which everything carried out during the process will be presented in detail, which will constitute a reference document for the development of similar activities in the future.[Processing and Data Consistency
This task is comprised of a set of tasks whose main purpose is to provide the data collected in the census in an organized manner in a database, which will facilitate the analysis of the census results through tabulations. This activity has the following objectives:
- To implement a centralized process in the headquarters in the department of Lima. This is done to digitize, verify and ensure consistency of the data.
- To implement a secure network to process census records
- Computer security at the software, hardware, and communications level
- Quality control
- Use of the internet to process, monitor, and supervise the activities and processes
The functional organization of the data processing task comprises the following tasks:
Information Processing Systems:
It refers to the development of the necessary programs to record the data, code responses automatically and with assistance for the open-ended questions, to process and check the consistency of the information (coverage, flows, ranges, arithmetic-logical relationships, and cross relationships), and the tabulations that will make it possible to have consistent and coherent information necessary to satisfy the objectives of statistical research.
Quality control:
It refers to the quality assurance process that is conducted for the questions processed during each batch of work. To do so, an algorithm that automatically returns the error rates created by omitted responses and variable consistency is used. The algorithm and the design of the basic reports that the system must issue to control the coverage of the omitted data are provided by the Executive Directorate of Sampling and Sample Framework (DMMM)
Consistency of Census coverage and variables:
This phase is carried out once the district is complete; It consists of verifying that the data at all levels or geographical breaks are complete, in case of missing data, it is about locating the cards and processing until the district is completely complete. Likewise, consistency rules are applied to identify
the types of errors and generate dynamic tables as input for the next phase.
Consistency:
this task consists of verifying that the data at all levels of aggregation is complete. In the event of missing data, the missing records should be located and processed until the data is complete. Consistency rules are applied to identify the types of errors present and generate dynamic tables as input for the next phase.
The questions for which automatic codes are will be called "Automatic coding".
For records for which the alias table is applied, the assignment is done automatically and will be called "Automatic coding".
For records for which a specialist operator assigns the corresponding code, it will be referred to as "Assisted Coding".
Imputation: It consists of detecting data errors and applying consistency rules to make an automatic correction of errors or inconsistencies in the data, through the application of special programs for data correction.
DataBase:
Standardized Database: In the data processing phase (coverage, structure, consistency and imputation), the data will be organized in a standardized database, the standardization allows for smaller data structures that, in addition to being simpler and more stable, make data maintenance easier, as well as avoid data redundancy and protect data integrity.
- Final Database: It is the database generated with the fully corrected and consistent data, this database is the one used to generate the reports or statistical tables. It is planned that the unnamed database will be made available to users through the MINAG and INEI web pages.
Tabulation Generation
Tables will be generated consistently and coherently once the departmental databases are available, which enables the analysis of the final census results.
Documentation
It consists of organizing and ordering all the documentation concerning the design and implementation of the processing systems. All computer applications used must be documented, detailing what functions it performs, the files it works with (input and output), the lists it issues and the relationship it has with other components of the process.
Preparation of Reports
Refers to the management and development of reports that must be issued by those responsible for the processing tasks. These reports must be issued promptly for each task, to enable the monitoring of the progress of the activities.
This task also includes the preparation of a final report in which everything carried out during the process will be presented in detail, which will constitute a reference document for the development of similar activities in the future.
This task is comprised of a set of tasks whose main purpose is to provide the data collected in the census in an organized manner in a database, which will facilitate the analysis of the census results through tabulations. This activity has the following objectives:
- To implement a centralized process in the headquarters in the department of Lima. This is done to digitize, verify and ensure consistency of the data.
- To implement a secure network to process census records
- Computer security at the software, hardware, and communications level
- Quality control
- Use of the internet to process, monitor, and supervise the activities and processes
The functional organization of the data processing task comprises the following tasks:
Information Processing Systems:
It refers to the development of the necessary programs to record the data, code responses automatically and with assistance for the open-ended questions, to process and check the consistency of the information (coverage, flows, ranges, arithmetic-logical relationships, and cross relationships), and the tabulations that will make it possible to have consistent and coherent information necessary to satisfy the objectives of statistical research.
Quality control:
It refers to the quality assurance process that is conducted for the questions processed during each batch of work. To do so, an algorithm that automatically returns the error rates created by omitted responses and variable consistency is used. The algorithm and the design of the basic reports that the system must issue to control the coverage of the omitted data are provided by the Executive Directorate of Sampling and Sample Framework (DMMM)
Consistency of Census coverage and variables:
This phase is carried out once the district is complete; It consists of verifying that the data at all levels or geographical breaks are complete, in case of missing data, it is about locating the cards and processing until the district is completely complete. Likewise, consistency rules are applied to identify
the types of errors and generate dynamic tables as input for the next phase.
Consistency:
this task consists of verifying that the data at all levels of aggregation is complete. In the event of missing data, the missing records should be located and processed until the data is complete. Consistency rules are applied to identify the types of errors present and generate dynamic tables as input for the next phase.
The questions for which automatic codes are will be called "Automatic coding".
For records for which the alias table is applied, the assignment is done automatically and will be called "Automatic coding".
For records for which a specialist operator assigns the corresponding code, it will be referred to as "Assisted Coding".
Imputation: It consists of detecting data errors and applying consistency rules to make an automatic correction of errors or inconsistencies in the data, through the application of special programs for data correction.
DataBase:
Standardized Database: In the data processing phase (coverage, structure, consistency and imputation), the data will be organized in a standardized database, the standardization allows for smaller data structures that, in addition to being simpler and more stable, make data maintenance easier, as well as avoid data redundancy and protect data integrity.
- Final Database: It is the database generated with the fully corrected and consistent data, this database is the one used to generate the reports or statistical tables. It is planned that the unnamed database will be made available to users through the MINAG and INEI web pages.
Tabulation Generation
Tables will be generated consistently and coherently once the departmental databases are available, which enables the analysis of the final census results.
Documentation
It consists of organizing and ordering all the documentation concerning the design and implementation of the processing systems. All computer applications used must be documented, detailing what functions it performs, the files it works with (input and output), the lists it issues and the relationship it has with other components of the process.
Preparation of Reports
Refers to the management and development of reports that must be issued by those responsible for the processing tasks. These reports must be issued promptly for each task, to enable the monitoring of the progress of the activities.
This task also includes the preparation of a final report in which everything carried out during the process will be presented in detail, which will constitute a reference document for the development of similar activities in the future.[Processing and Data Consistency
This task is comprised of a set of tasks whose main purpose is to provide the data collected in the census in an organized manner in a database, which will facilitate the analysis of the census results through tabulations. This activity has the following objectives:
- To implement a centralized process in the headquarters in the department of Lima. This is done to digitize, verify and ensure consistency of the data.
- To implement a secure network to process census records
- Computer security at the software, hardware, and communications level
- Quality control
- Use of the internet to process, monitor, and supervise the activities and processes
The functional organization of the data processing task comprises the following tasks:
Information Processing Systems:
It refers to the development of the necessary programs to record the data, code responses automatically and with assistance for the open-ended questions, to process and check the consistency of the information (coverage, flows, ranges, arithmetic-logical relationships, and cross relationships), and the tabulations that will make it possible to have consistent and coherent information necessary to satisfy the objectives of statistical research.
Quality control:
It refers to the quality assurance process that is conducted for the questions processed during each batch of work. To do so, an algorithm that automatically returns the error rates created by omitted responses and variable consistency is used. The algorithm and the design of the basic reports that the system must issue to control the coverage of the omitted data are provided by the Executive Directorate of Sampling and Sample Framework (DMMM)
Consistency of Census coverage and variables:
This phase is carried out once the district is complete; It consists of verifying that the data at all levels or geographical breaks are complete, in case of missing data, it is about locating the cards and processing until the district is completely complete. Likewise, consistency rules are applied to identify
the types of errors and generate dynamic tables as input for the next phase.
Consistency:
this task consists of verifying that the data at all levels of aggregation is complete. In the event of missing data, the missing records should be located and processed until the data is complete. Consistency rules are applied to identify the types of errors present and generate dynamic tables as input for the next phase.
The questions for which automatic codes are will be called "Automatic coding".
For records for which the alias table is applied, the assignment is done automatically and will be called "Automatic coding".
For records for which a specialist operator assigns the corresponding code, it will be referred to as "Assisted Coding".
Imputation: It consists of detecting data errors and applying consistency rules to make an automatic correction of errors or inconsistencies in the data, through the application of special programs for data correction.
DataBase:
Standardized Database: In the data processing phase (coverage, structure, consistency and imputation), the data will be organized in a standardized database, the standardization allows for smaller data structures that, in addition to being simpler and more stable, make data maintenance easier, as well as avoid data redundancy and protect data integrity.
- Final Database: It is the database generated with the fully corrected and consistent data, this database is the one used to generate the reports or statistical tables. It is planned that the unnamed database will be made available to users through the MINAG and INEI web pages.
Tabulation Generation
Tables will be generated consistently and coherently once the departmental databases are available, which enables the analysis of the final census results.
Documentation
It consists of organizing and ordering all the documentation concerning the design and implementation of the processing systems. All computer applications used must be documented, detailing what functions it performs, the files it works with (input and output), the lists it issues and the relationship it has with other components of the process.
Preparation of Reports
Refers to the management and development of reports that must be issued by those responsible for the processing tasks. These reports must be issued promptly for each task, to enable the monitoring of the progress of the activities.
This task also includes the preparation of a final report in which everything carried out during the process will be presented in detail, which will constitute a reference document for the development of similar activities in the future.
Access policy
Confidentiality
The information provided by the sources is confidential 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 as stated in article 97 of the Supreme Decree No. 043-2001-PCM.
Access authority
| Name |
|---|
| National Institutes of Statistics and Informatics |
Disclaimer and copyrights
Disclaimer
The IV CENAGRO is in concordance with Law No. 13248 "Law of Censuses", which states, that starting in 1960 and every five years, economic censuses are to be conducted, among others, agriculture. The execution of the IV CENAGRO, has been ordered by the Emergency Decree No. 055-2011, of October 14, 2011.
Through Supreme Resolution, the Consultative Commission of IV CENAGRO will be formed, as the highest level body in the organization and execution of the Census.
The legal considerations state that :
- "That article 88 of the political constitution of Peru establishes that the state preferably supports agrarian development;"
- "That the agricultural sector is of great importance in the development of the country, because a high percentage of the economically active population is dedicated to agricultural production;"
"That Law No. 13248 establishes that, beginning in 1960 and every five years, economic censuses will be conducted, among others, agriculture;"
"That, the III National Census of Agriculture of 1994, was carried out between October 15 and November 14 of that year, the information and results of which are completely outdated to date, with ignorance of the structure of the agricultural sector, determining the impossibility of obtaining basic statistical information for the formulation and evaluation of development plans in said sector; "
Through Supreme Resolution, the Consultative Commission of IV CENAGRO will be formed, as the highest level body in the organization and execution of the Census.
The legal considerations state that :
- "That article 88 of the political constitution of Peru establishes that the state preferably supports agrarian development;"
- "That the agricultural sector is of great importance in the development of the country, because a high percentage of the economically active population is dedicated to agricultural production;"
"That Law No. 13248 establishes that, beginning in 1960 and every five years, economic censuses will be conducted, among others, agriculture;"
"That, the III National Census of Agriculture of 1994, was carried out between October 15 and November 14 of that year, the information and results of which are completely outdated to date, with ignorance of the structure of the agricultural sector, determining the impossibility of obtaining basic statistical information for the formulation and evaluation of development plans in said sector; "
Metadata production
DDI Document ID
PER_2012_CENAGRO_EN_M_v01_OCS_FAO
Producers
| Name | Abbreviation | Affiliation | Role |
|---|---|---|---|
| Office of the Chief Statistician | OCS | FAO | Adapt Metadata for the FAM |
| National Institute of Statistics and Informatics | INEI | PCM | |
| National Directorate of Censuses and Surveys | DNCE | INEI |