PER_2015_ENA_M_EN_v01_OCS_A_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 2015 ENA 2015 PER_2015_ENA_M_EN_v01_A_OCS National Institute of Statistics and Informatics National Directorate of Censuses and Surveys Ministry of Agriculture and Irrigation Ministry of Economics and Finance 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 agricultural situation within the country. However, to periodically update information such as 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 with the census. The first National Agricultural survey was carried out in 2014 for the first time. The information obtained from this survey was used to develop indicators for the Peruvian agricultural sector that serve as a baseline, which enable the monitoring of the sector over time. The 2015 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 that fall 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 orientation of public policies that aim to improve the living standards of agricultural producers. The specific objectives of the 2015 National Agricultural Survey are: - To estimate land-use, the 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 agricultural sector indicators 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 National Coverage 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 and harvested in the agricultural holding in the last 12 months 3. Crop area- planting and harvesting 4. Agricultural Practices 5. Livestock Production 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 2015 National Agricultural Survey is made up of 29,218 agricultural holdings of small and medium producers, 2,359 agricultural holdings of large agricultural producers; and 2,020 agricultural holdings of natural persons of special stratum. From the sampling design, it was expected that a total of 30,577 agricultural holdings would be surveyed, out of which 29,218 are small and medium, and 1,359 are large agricultural holdings (enterprises, poultry farms, pig farms). In the sample, a total of 27,948 agricultural enterprises were surveyed, out of which 26,874 are small and medium and 1,074 belong to large (enterprises, poultry farms, pig farms) agricultural holdings. Face-to-face [f2f] I.Development of the Data Entry System ENA 2015 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) - Basic Consistency Module - Indicator Calculation Module - Report Module II. Information Analysis This task consisted of evaluating, identifying, and fixing the errors and missing values in variables in the dataset. This task is under the mandate of the National Supervisor and is supervised by a team in charge of data processing and methodology in the headquarters III. Development and analysis of the quality-check indicators This task entails the development of 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 1.6% The non-response rate of small and medium agricultural holdings in the coastal region was 2.0% The non-response rate of small and medium agricultural holdings in the mountainous region was 1.1% The non-response rate of small and medium agricultural holdings in the jungle region was 2.4% 2. The non-response rate of large agricultural units was 1.7% The information provided by the sources is confidential and cannot be disclosed individually, even by an administrative or a judicial order. 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