PER_2015_ENA_M_EN_v01_A_OCS_FAO Office of the Chief Statistician National Institute of Statistics and Informatics Centre for Research and Development <_value> NADA PER_2015_ENA_M_EN_v01_A_OCS National Agricultural Survey 2014 ENA 2014 PER_2014_ENA_M_EN_v01_A_OCS National Institute of Statistics and Informatics National Directorate of Censuses and Surveys Ministry of Economics and Finance Ministry of Agriculture and Irrigation NADA National Institute of Statistics and Informatics Gisella Cañote Fajardo Agricultural Survey [ag/oth] The 2012 National Census of Agriculture (IV CENAGRO) helped obtain a picture of the country's agricultural sector. However, to update periodically information on production, use of resources, prices, among others, it is important to have annual or continuous surveys. The purpose of these surveys is to track farms over time, which is not possible to do with the census. Prior to the 2014 National Agricultural Survey, there were no continuous agricultural surveys that enabled the collection of reliable and opportune data regarding Peru's agricultural sector. The 2014 ENA serves as a staring point for the development and evaluation of socio-economic projects with the agricultural sector. From the results of the IV CENAGRO, it is estimated that 81.8% of observations were small and medium holdings whose producers depend on agricultural work. Is it therefore important to determine the needs of their agricultural activities. The 2014 National Agricultural Survey is a statistical investigation that has as its fundamental purpose to generate up to date information that can be used to construct indicators that facilitate the monitoring and evaluation of the various budgetary programs within the framework of the Budget for Results that the Ministry of Economics and Finance has been implementing in the public sector, and in this way, contribute to the design and guidance of public policies that aim to improve the living standards of agricultural producers. The specific objectives of the 2014 National Agricultural Survey are: - To estimate land-use, area planted and harvested, the production and yield of the main temporary and permanent crops, milk production, minor species and livestock inventory. - To obtain the necessary information to construct indicators of the agricultural sector that facilitate the monitoring of existing gaps between medium and small agricultural producers. - To provide information that enables the comparison of indicators of the budgetary programs for small and medium agricultural producers over time. Peru The survey covers all agricultural holdings within the country that are less than 50 ha and the agricultural units that are agricultural or farming enterprises Agricultural holdings The survey covers all agricultural holdings within the country that are less than 50 ha and the agricultural units that are agricultural or farming enterprises Sample survey data [ssd] 1. Characteristics of the agricultural holding 2. Crops planted and harvested in the agricultural holding within the last 12 months 3. Agricultural practices 4. Livestock production 5. Livestock practices 6. Food safety 7. Agricultural extension services 8. Organization/Association membership 9. Access to financial services 10. Agricultural production costs 11.Socio-economic characteristics of the household The sampling frame for the selection of the survey sample is made up of statistical information from the IV National Census of Agriculture 2012 (IV CENAGRO). The total sample of the 2014 National Agricultural Survey is made up of 27,081 agricultural holdings, out of which 26,119 questionnaires were completed and 58 were incomplete among small and medium agricultural holdings. In terms of large agricultural holdings, 885 questionnaires were completed and 19 were incomplete. In the sampling design, it was expected that a total of 30,323 agricultural holdings would be interviewed, out of which 26,119 of holdings are small and medium producers, 1,007 are large holdings (Enterprises, poultry farms, pig farms). In the final sample a total 27,978 agricultural enterprises were interviewed, out of which 26,119 questionnaires were completed and 58 were incomplete among small and medium agricultural holdings. In terms of large agricultural holdings, 885 questionnaires were completed and 19 were incomplete. Face-to-face [f2f] The data collection stage was conducted using tablets and GPS systems. The tablets were pre-programmed with the questionnaires and to obtain the size of the parcels the GPS was used. ORGANIZATION OF DATA PROCESSING I. Functional The organization that is responsible for the handling, implementation, and supervision of the data processing process of the ENA is under the responsibility of the National Directorate of Censuses and Surveys through the Technical Coordination of the ENA. II. Area personnel in charge of system development - An area manager is a person responsible for system development and coordinates with the executive directors and project managers. - Coordinate with the project manager/managers on the definition of the requirements - Analyze and evaluate the requirements requested by the area managers - Plan the methodology and schedule the development of the system - Select staff for the development of the system. - Monitor and track compliance with the delivery schedule of the system developed for the application to be used in the field. - Report on the progress of the development of the application system. DESCRIPTION OF TASKS TO BE CONDUCTED I. An Integrated System is developed to provide support to the project. This system contains the following modules: - Tablet Coverage Module - Segmentation Module - Monitoring Module - Data Transfer Module (Export) - Indicator Calculation Module - Report Module II. Information Analytics This task consisted of evaluating, identifying, and fixing the errors and missing values of variables in the dataset. This task is under the mandate of the National Supervisor and is supervised by the team in charge of data processing and methodology in the headquarters. III. Development and Analysis of the quality-check indicators This task entails developing methodological rules and procedures through which the Monitoring and Data Entry System generates the specified quality-check indicators, after checking the consistency of the data. IV. Exporting the Database in a Stata or SPSS format The microdata is generated in either a Stata or SPSS format. 1. The rate of non-response of the small and medium agricultural holdings was 1.2% The non-response rate of small and medium agricultural holdings in the coastal region was 0.7% The non-response rate of small and medium agricultural holdings in the mountainous region was 1.3% The non-respsonse rate of small and medium agricultural holdings in the jungle region was 1.6% 2. The non-response rate of large agricultural units was 4.3% The INEI authorizes the use of the information provided as long as the source is cited (Source: National Institute of Statistics and Informatics- National Agricultural Survey 2014). Therefore, copying or reproducing the information in any electronic medium (networks, databases, or electronic publications) that makes the information available to multiple users without prior written consent is totally prohibited. The INEI makes all the information contained in the web site available to users, individually, as an end-user license. Therefore, any commercialization of this right of access is prohibited. The INEI does not commit to updating the information immediately and reserves the right to modify, increase, update, change or correct any omission of information contained in this web site at any time. Supreme Decree No. 043-2001- PCM: Organization and Functions Regulation of the INEI and R.J. No. 108-94/INEI that approves Directive No. 006-94-INEI/DNEB "Rules for the application of fines, for non-compliance with the delivery of statistical information, requested by the Bodies of the National Statistical System". Mandatory: Supreme Decree No. 043-2001- PCM Art. 81.