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    Home / Food and Agriculture Microdata Catalogue / AGRICULTURAL-CENSUS / ESP_2020_CA_V01_M_V01_A_ESS
Agricultural-Census

Agricultural Census

Spain, 2020 - 2021
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Reference ID
ESP_2020_CA_v01_M_v01_A_ESS
Producer(s)
National Statistical Institute of Spain (INE, Instituto Nacional de Estadística)
Collections
Agricultural Censuses
Metadata
Documentation in PDF DDI/XML JSON
Created on
Feb 25, 2026
Last modified
Mar 05, 2026
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47
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  • Study Description
  • Downloads
  • Get Microdata
  • Identification
  • Scope
  • Coverage
  • Producers and sponsors
  • Sampling
  • Survey instrument
  • Data collection
  • Data processing
  • Data Access
  • Contacts
  • Metadata production
  • Identification

    Survey ID number

    ESP_2020_CA_v01_M_v01_A_ESS

    Title

    Agricultural Census

    Abbreviation or Acronym

    CA 2020

    Translated Title

    Censo Agrario 2020

    Country
    Name Country code
    Spain ESP
    Study type

    Agricultural Census [ag/census]

    Series Information

    The first Agricultural Census (CA, Censo Agrario) in Spain was carried out in 1962 and, since then, CAs were conducted in 1972, 1982, 1989, 1999, and 2009. The CA 2020 was the latest census conducted in the country.

    Abstract

    The Agricultural Census is a census of all agricultural holdings that takes place every ten years. It is part of an EU-wide programme of agricultural censuses carried out in 2020 under EU Regulation 2018/1091 on integrated farm statistics and conducted under the World Programme for the Census of Agriculture (https://www.fao.org/world-census-agriculture/en/). The objective of the Agricultural Census 2020 is to collect useful information on structural characteristics of agricultural holdings for the purposes of monitoring, evaluating, and revising the common agricultural policy.

    Kind of Data

    Census/enumeration data [cen]

    Unit of Analysis

    Agricultural holdings

    Scope

    Notes

    The census scope covered agricultural (crop and livestock) activities.

    The questionnaire collected information on:

    1. Identification and general characteristics
    2. Land use
    3. Crops
    4. Livestock and Poultry
    5. Irrigation
    6. Sustainable agricultural practices
    Keywords
    Structure of Agriculture Land use Crops Livestock and Poultry

    Coverage

    Geographic Coverage

    The Agricultural Census 2020 covered the entire country.

    Universe

    The statistical unit for the Agricultural Census 2020 was the agricultural holding, defined both technically and economically, which has a single management, and which undertakes agricultural activities listed in annex I of the European Parliament and Council Regulation No. 2018/1091 within the economic territory of the EU, as either its primary or secondary activity.

    For the CA 2020, the agricultural holdings that met at least one of the following thresholds were included:

    • 5 ha of utilized agricultural area (UAA)
    • 2 ha of arable land
    • 0.5 ha of UAA used for fresh vegetables, strawberries, and potatoes
    • 0.3 ha of UAA used for fruit trees, berries, nut trees, citrus fruit trees, olive trees, other permanent crops excluding nurseries and vineyards
    • 0.2 ha of UAA used for aromatic, medicinal and culinary plants, flowers and ornamental plants, seeds and seedlings, and nurseries
    • 0.1 ha of UAA used for vineyards
    • 100 m2 of UAA used for greenhouses and cultivated mushrooms
    • 1.7 livestock units

    With these thresholds, 98 percent of the total utilized agricultural area (excluding kitchen gardens) and 98 percent of the livestock units of national total were covered.

    However, for the NUTs of Galicia, these thresholds were lowered and an extended frame was formed and studied by means of a sample.

    Producers and sponsors

    Primary investigators
    Name
    National Statistical Institute of Spain (INE, Instituto Nacional de Estadística)
    Producers
    Name Affiliation
    Ministry of Agriculture, Fisheries and Food (MAPA, Ministerio de Agricultura, Pesca y Alimentación) Government of Spain
    Basque Statistics Institute (EUSTAT, Instituto Vasco de Estadística) Basque Autonomous Community

    Sampling

    Sampling Procedure

    The CA was composed of a core module and three thematic modules on labor force and other gainful activities, rural development, and animal housing and manure management.

    The frame was obtained from the Register or Census Directory maintained by Spain's National Institute of Statistics (INE). All the reporting units of this register were considered to be potential agricultural holdings. The Register was based on the use and integration of data from three key sources:

    • Integrated Administrative Control System Register
    • Spanish Agency for Tax Administration
    • Other administrative and INE statistical sources

    The CA 2020 was conducted using the combination of complete and sample enumeration, and some data was also collected from administrative records. Data for the core module was conducted using complete enumeration. Whereas, data for the thematic modules on labor force and other gainful activities, and animal housing and manure management was conducted using sample enumeration. Direct collection has been carried out for information on the variables of the modules of labor force and other gainful activities, animal housing and manure management. For the information of the Rural Development module, the administrative registers of the rural development aids were used.

    The Agricultural Census 2020 employed a stratified random sample using optimal allocation, distributing the sample across strata to improve precision. The sampling frame for the module of labor and other gainful activities was the pre-census directory formed by administrative sources referred mostly to 2019. For the module of animal housing and manure management, the sampling frame was a subset of the previous one, comprised only of those holdings that contain livestock head of cattle, goats, sheep, pigs or poultry. Approximately 0.1 percent of holdings per Autonomous Community (NUTS2) were included. Additional "take-all" holdings were including by using the Sigma Deviation Rule (Julien and Maranda, 1990) based on the variables Utilized Agricultural Area (UAA), Land Under Cultivation (LUC) and Livestock Units (LU). The procedure was carried out independently within each Autonomous Community and Two-Digit Technical-Economic Orientation (OTE2).

    The sampling frame for the module of labor and other gainful activities was stratified by combining Autonomous Community, OTE2, and between 1 and 6 size groups, according to the characteristics of the distributions of the auxiliary variables and the number of holdings. The auxiliary variables used to define the size groups for agricultural OTE2 were UAA and LUC, whereas for the main livestock OTE2 were UAA and gross output (UG). For each of these variables, the size groups were initially created by applying the Cumulative Square Root of the Frequency Rule (Cochran, 1977).
    The sampling frame for the module of animal housing and manure management was stratified by combining Autonomous Community, OTE2, and between 1 and 5 size groups, according to the distributions' characteristics of the auxiliary variable and the number of holdings. The auxiliary variable used to define the size groups was LU.

    Annex V of Regulation 2018/1091 determined the precision requirements to be applied. Specifically, the core and module data shall be statistically representative for the relevant populations of agricultural holdings at:

    • NUTS 2 level (Autonomous Community) for regions with at least 10 000 agricultural holdings in the relevant population
    • NUTS 1 level for regions with at least 1000 agricultural holdings in the relevant population
    • National Level if the above conditions are not met

    For the module of labor and other gainful activities a maximum relative error of five percent was set to establish the sample size, while for module animal housing and manure management a 7.5 percent error was set. When a precision level for Autonomous Community was required, the agricultural and livestock characteristics considered relevant by the Regulation were those which fulfil the following conditions:

    • for agricultural characteristics: those that represent 7.5 percent or more of the UAA of the Autonomous Community
    • for livestock characteristics: those that represent 7.5 percent or more of the LU of the Autonomous Community and more than five percent of the national total

    The samples were obtained by applying the Permanent Random Number technique with positive coordination to get maximum overlap between samples of the two modules.

    Survey instrument

    Questionnaires

    Two types of questionnaires were used for data collection of the Agricultural Census 2020: one for the AC, and one for supplementary information on labor force, other gainful activities, animal housing and manure management.

    The CA 2020 questionnaire covered 20 out of 23 essential items recommended in the WCA 2020. The items were collected both by administrative register (70 percent of farms) and by direct collection through the questionnaire (the remaining 30 percent). The items collected by administrative register were the same as those collected by direct questionnaire.

    Data collection

    Dates of Data Collection
    Start End
    2020-10 2021-03
    Time Method

    Reference day: 30 September 2020 for inventory items, such as livestock numbers

    Reference periods:

    • Agricultural year 2020 (from 1 October 2019 to 30 September 2020) for characteristics relating to land and labour force, etc.
    • Past three years (from 1 January 2018 to 31 December 2020) for rural development support and landscape characteristics
    Mode of data collection
    • Computer Assisted Web Interview [cawi], Computer Assisted Telephone Interview [cati]
    Data Collection Notes

    The AC 2020 data were collected in two phases. In the first phase, data was collected using postal mail, CAWI and CATI methods from October 2020 to March 2021. In the second phase, a follow-up using CAPI was planned for holders that had not yet responded at the end of phase 1. However, due to the pandemic, the personal interview collection phase was cancelled. But an attempt was made to recontact five percent of informants for whom data was not collected.

    INE has developed in recent years a multichannel collection system (IRIA) for the collection of economic and social surveys. To not influence ordinary data collection of surveys, a second specific IRIA system was implemented for the census. The tasks to be carried out prior to and during the census collection were: installation, design of the questionnaire for each collection channel, configuration and parameterization of the system, administration, monitoring, exploitation of data and attention to users.

    QUALITY ASSURANCE
    For quality assurance purposes, Member States shall transmit a quality report describing the statistical process, and in particular:

    • metadata describing the methodology used and how technical specifications were achieved by reference to those laid down by the Regulation
    • information on compliance with the minimum requirements for the sampling frames used, including their development and update, as required by European Regulation

    Data processing

    Data Editing

    Editing processes were established to ensure the consistency of the information. The execution of manual, semi-automatic and automatic editing tasks was foreseen. A customized interactive application was used for central data manual debugging. The design and the development parts of this interactive application was outsourced. Subsequently, other automatic editing processes were implemented in order to solve and correct inconsistencies.

    The intermediate and final files of data collected directly or through administrative sources were analyzed. The units were recontacted, and the error lists were determined for further debugging or editing. Subsequently, data from administrative sources and those obtained by direct collection were integrated.

    Once data editing was finalized, some processes to calculate aggregated variables and other information needed for the publication were initiated.

    Data Access

    Access conditions

    The data request procedure and the data request form are available at "How to apply for microdata access?" at https://ec.europa.eu/eurostat/web/microdata/farm-statistics.

    Contacts

    Contacts
    Name Affiliation URL
    National Statistical Institute of Spain (INE, Instituto Nacional de Estadística) Ministry of Economy, Trade, and Business (Ministerio de Economía, Comercio y Empresa) https://www.ine.es/censoagrario2020/presentacion/index.htm

    Metadata production

    DDI Document ID

    DDI_ESP_2020_CA_v01_M_v01_A_ESS_FAO

    Producers
    Name Abbreviation Affiliation Role
    National Statistical Institute of Spain (Instituto Nacional de Estadística) INE Metadata producer
    Statistics Division ESS Food and Agriculture Organization of the United Nations Metadata adapted for FAM
    Back to Catalog
    Food and Agriculture Organization of the United Nations

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