IRL_2020_CA_v01_M_v01_A_ESS
Census of Agriculture 2020
CA 2020
| Name | Country code |
|---|---|
| Ireland | IRL |
Agricultural Census [ag/census]
Ireland has participated in all WCA rounds. Agricultural censuses were conducted in 1929, 1949, 1960, 1970, 1980, 1991, 2000, and 2010.
The Census of Agriculture (CA) 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 purpose of the CA 2020 is to compile statistics on the structure of all agricultural holdings, labor force, animal housing, and manure management practices on Irish Farms. The data is required to meet national and EU needs for regular statistics on agricultural activity.
Census/enumeration data [cen]
Agricultural holdings
The census scope covered agricultural (crop and livestock production) activities.
The three questionnaires collected information on:
The CA 2020 covered the entire country.
The statistical unit was the agricultural holding, defined as a single unit, both technically and economically, that has a single management and that undertakes economic activities in agriculture in accordance with Regulation (EC) No 1893/2006 belonging to groups A.01.1, A.01.2, A.01.3, A.01.4, A.01.5 or to the "maintenance of agricultural land in good agricultural and environmental condition" of group A.01.6 within the economic territory of the Union, either as its primary or secondary activity, as it is stated in the Regulation (EU) No. 2018/1091 of the European Parliament and of the Council on integrated agricultural statistics. Regarding activities of class A.01.49, only the activities "Raising and breeding of semi-domesticated or other live animals" (except for raising insects) and "Beekeeping and production of honey and beeswax" were included.
The following thresholds were applied:
The animal housing and manure management module covered the subset of the population of agricultural holdings defined before with at least one cattle, pig, sheep, goat, or poultry.
| Name |
|---|
| Central Statistics Office of Ireland, Agriculture Surveys Section |
| Government of Ireland, Department of Agriculture, Food and the Marine |
| Name | Role |
|---|---|
| Agriculture and Food Development Authority | Technical assistance |
| Name | Abbreviation |
|---|---|
| Statistical Office of the European Communities | Eurostat |
The CA 2020 comprised a core module and three thematic modules on labor force and other gainful activities, rural development, and animal housing and manure management. Some census data for the core and the animal housing and manure management modules, and all census data related to the rural development thematic module were collected directly from administrative registers.
The Agriculture Register, hosted in the Central Statistics Office (CSO) Data Management System, was the list frame used in the CA 2020. The register was finalized after the Farm Structure Survey (FSS) 2016, it was updated annually and again in April 2020 (prior to the Census) to add 4 687 new births identified as newly active holdings in the Department of Agriculture, Food, and the Marine's administrative databases. Administrative databases include IACS, Bovine, Ovine, Poultry and Organic farming Registers.
The CA 2020 used a combination of complete and sample enumeration. The core and the rural development modules were collected using complete enumeration, while data for the supplementary thematic modules referred to labor force and other gainful activities, and animal housing and manure management were collected using sample enumeration. The sample was selected using a one-stage stratified random sample of size 10 000 for each supplementary thematic module. The stratification variables were the NUTS 3 regions and size, location, and specialization of the holdings. The sample size was designed and calculated at NUTS 2 to meet the precision requirements set out in Annex V of Regulation (EU) 2018/1091. Such as a relative standard error less than 5 percent where prevalence in the relevant population for: land variables in core data is 7.5 percent or more of the UAA in the region; livestock variables is 7.5 percent or more of the livestock units in the region and 5 percent or more of the variable in the country. Sample size was allocated between strata using proportional allocation. The intensive pig and poultry enterprises were selected using complete enumeration. Sampling weights were adjusted for non-response within the sampling strata. Different samples from the original census frame were chosen for each of the two modules.
The response rate was just under 80 percent for core data collected from non-administrative sources (including the postal system).
Three questionnaires were used in the CA 2020: one for the core module, and two for the supplementary thematic modules referring to labor force and other gainful activities, and animal housing and manure management. The questionnaires covered 22 out of 23 essential items recommended in the WCA 2020. Data for 18 essential items were collected from administrative sources.
In an effort to reduce the response burden on farmers, the questionnaires contained no questions relating to cattle and crops as sufficient data is available from existing administrative data sources from Department of Agriculture, Food and the Marine (DAFM).
| Start | End |
|---|---|
| 2020-09 | 2021-01 |
Reference day: 1 June 2020, for livestock and animal housing
Reference periods:
The CA 2020 involved 2 statisticians, 2 higher executive officers (HEO), 3 executive officers (EO), 4 clerical officers (CO), and 12 temporary clerical officers (TCO). Other Central Statistics Office (CSO) staff from support sections from graphic design, printing, IT, Irish office and more, assisted the census in relevant stages.
The CA was conducted by post (mail-out/mail-back), CAWI and CATI methods. CAWI and CATI were used to collect information on grassland, farm labor, livestock that did not fall into the cattle, sheep pigs or poultry categories, animal housing and manure management variables. Information on livestock, crops, and rural development were collected from administrative registers: IACS, bovine register, ovine register, organic farming register, and rural development measures.
QUALITY ASSURANCE
The CSO carried out different procedures to assure and assess quality: training courses, use of best practices, quality guidelines, and self-assessment. The CSO Quality Strategy 2020-2023 has led to several improvements in quality procedures. A new metadata management application (Colectica) is being utilized across the office which has modernized and standardized the processes around questionnaire design, variable specifications, and metadata management. This will be very valuable over the remainder of the decade for IFS data collections. Several actions were carried out to minimize non-sampling errors in the CA 2020: update of registers to minimize under-coverage; explanatory notes or handbooks for enumerators or respondents to minimize measurement errors; reminders, imputation, and weight adjustment to minimize non-response error; different team members worked on the same questionnaires at each stage of the process to minimize processing errors.
Staff used the CSOs Data Management System (DMS) software to correct data. Ineligible digits and data were highlighted and corrected on screen by referring to previous returns or by deduction. Then the data was passed through a range of pre-programmed edit checks carried out by staff from local departments. Arithmetic checks, range checks, and comparison with previous rounds of data collection and with other domains in agricultural statistics were carried out and the data was examined. These edits were processed through the DMS before more edits were carried out in SAS and R-Studio software. Imputation was carried out using deductive, cold deck and random hot deck methods. Administrative data within the reference year was available for close to 100 percent of the unit non-responders. This also meant that it could be determined if there was true item non-response when data was missing. The nature of the core data collected using the census instrument and the available auxiliary information meant that accurate deductive imputation could be performed. Most of the imputation was performed in SAS with imputation of a small proportion of INSPIRE grid cell codes performed using SAS in parallel with R-Studio. For data compilation, design weights obtained from the inverse of the inclusion probabilities adjusted for non-response within sampling strata were used.
DATA PROCESSING
Direct data capture was ensured by the CAWI and CATI method. For paper questionnaires, Optical Character Recognition (OCR) was used. This software was configured to flag errors or erroneous data at scanning.
Sampling errors were calculated and of the 65 eligible cases for the precision requirements in relation to Regulation (EU) 2018/1091, five were not met.
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.
| Name | Affiliation | URL | |
|---|---|---|---|
| Agriculture Surveys Section | Central Statistics Office of Ireland | [email protected] | http://www.cso.ie/en/index.html |
DDI_IRL_2020_CA_v01_M_v01_A_ESS_FAO
| Name | Abbreviation | Affiliation | Role |
|---|---|---|---|
| Agriculture Surveys Section | Central Statistics Office of Ireland | Metadata producer | |
| Statistics Division | ESS | Food and Agriculture Organization of the United Nations | Metadata adapted for FAM |