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For any question on data and metadata, please contact: Eurostat user support |
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1.1. Contact organisation | REPUBLIC OF CROATIA - CROATIAN BUREAU OF STATISTICS |
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1.2. Contact organisation unit | Spatial statistics Directorate/Agricultural, Production and Structural Statistics Department |
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1.5. Contact mail address | REPUBLIC OF CROATIA - CROATIAN BUREAU OF STATISTICS Ilica 3, 10000 Zagreb Republic of Croatia
Spatial statistics Directorate/Agricultural, Production and Structural Statistics Department Branimirova 19, 10 000 Zagreb |
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2.1. Metadata last certified | 18/03/2021 | ||
2.2. Metadata last posted | 10/03/2021 | ||
2.3. Metadata last update | 18/03/2021 |
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3.1. Data description | |||
The data describe the structure of agricultural holdings providing the general characteristics of farms and farmers and information on their land, livestock and labour force. They also describe production methods, rural development measures and agro-environmental aspects that look at the impact of agriculture on the environment. The data are used by public, researchers, farmers and policy-makers to better understand the state of the farming sector and the impact of agriculture on the environment. The data follow up the changes in the agricultural sector and provide a basis for decision-making in the Common Agricultural Policy (CAP) and other European Union policies. The statistical unit is the agricultural holding (farm). The aggregated results are disseminated through statistical tables. The data are presented at different geographical levels and over periods. |
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3.2. Classification system | |||
Data are arranged in tables using many classifications. Please find below information on most classifications. The classifications of variables are available in Annex III of Regulation (EU) 2018/1091 and in Commission Implementing Regulation (EU) 2018/1874. The farm typology means a uniform classification of the holdings based on their type of farming and their economic size. Both are determined on the basis of the standard gross margin (SGM) (until 2007) or standard output (SO) (from 2010 onward) which is calculated for each crop and animal. The farm type is determined by the relative contribution of the different productions to the total standard gross margin or the standard output of the holding. The territorial classification uses the NUTS classification to break down the regional data. The regional data is available at NUTS level 2. |
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3.3. Coverage - sector | |||
The statistics cover agricultural holdings undertaking agricultural activities as listed in item 3.5 below and meeting the minimum coverage requirements (thresholds) as listed in item 3.6 below. |
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3.4. Statistical concepts and definitions | |||
The list of core variables is set in Annex III of Regulation (EU) 2018/1091. The descriptions of the core variables as well as the lists and descriptions of the variables for the modules collected in 2019/2020 are set in Commission Implementing Regulation (EU) 2018/1874. The following groups of variables are collected in 2020:
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3.5. Statistical unit | |||
See sub-category below. |
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3.5.1. Definition of agricultural holding | |||
The agricultural holding is 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: Growing of non-perennial crops - A.01.2: Growing of perennial crops - A.01.3: Plant propagation - A.01.4: Animal production - A.01.5: Mixed farming or - 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. Regarding activities of class A.01.49, only the activities “Raising and breeding of semi-domesticated or other live animals” (with the exception of raising of insects) and “Bee-keeping and production of honey and beeswax” are included. |
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3.6. Statistical population | |||
See sub-categories below. |
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3.6.1. Population covered by the core data sent to Eurostat (main frame and if applicable frame extension) | |||
The thresholds of agricultural holdings are available in the annex. Annexes: 3.6.1. Thresholds of agricultural holdings |
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3.6.1.1. Raised thresholds compared to Regulation (EU) 2018/1091 | |||
No | |||
3.6.1.2. Lowered and/or additional thresholds compared to Regulation (EU) 2018/1091 | |||
Yes | |||
3.6.2. Population covered by the data sent to Eurostat for the modules “Labour force and other gainful activities”, “Rural development” and “Machinery and equipment” | |||
The same population of agricultural holdings defined in item 3.6.1. |
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3.6.3. Population covered by the data sent to Eurostat for the module “Animal housing and manure management” | |||
A subset of the population of agricultural holdings defined in item 3.6.2. (not only agricultural holdings with at least one of the following: bovine animals, pigs, sheep, goats, poultry). |
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3.7. Reference area | |||
See sub-categories below. |
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3.7.1. Geographical area covered | |||
The entire territory of the country. |
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3.7.2. Inclusion of special territories | |||
Not applicable. |
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3.7.3. Criteria used to establish the geographical location of the holding | |||
The main building for production The location where all agricultural activities are situated The majority of the area of the holding The most important parcel by physical size The most important parcel by economic size The residence of the farmer (manager) not further than 5 km straight from the farm |
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3.7.4. Additional information reference area | |||
Not available. |
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3.8. Coverage - Time | |||
Farm structure statistics in our country cover the period from 2007 onwards. Older time series are described in the previous quality reports (national methodological reports). |
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3.9. Base period | |||
The 2020 data are processed (by Eurostat) with 2017 standard output coefficients (calculated as a 5-year average of the period 2015-2019). For more information, you can consult the definition of the standard output. |
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Two kinds of units are generally used:
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See sub-categories below. |
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5.1. Reference period for land variables | |||
The use of land refers to the 12-month period ending on 1st June within the reference year 2020. In the case of successive crops from the same piece of land, the land use refers to a crop that is harvested during the reference year, regardless of when the crop in question is sown. |
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5.2. Reference period for variables on irrigation and soil management practices | |||
The 12-month period ending on 1st June within the reference year 2020. |
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5.3. Reference day for variables on livestock and animal housing | |||
The reference day 1st June within the reference year 2020. |
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5.4. Reference period for variables on manure management | |||
The 12-month period ending on 1st June 2020. This period includes the reference day used for livestock and animal housing. |
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5.5. Reference period for variables on labour force | |||
The 12-month period ending on 1st June 2020 within the reference year 2020. |
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5.6. Reference period for variables on rural development measures | |||
The three-year period ending on 31 December 2020. |
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5.7. Reference day for all other variables | |||
The reference day 1st June within the reference year 2020. |
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6.1. Institutional Mandate - legal acts and other agreements | |||
See sub-categories below. |
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6.1.1. National legal acts and other agreements | |||
Legal act | |||
6.1.2. Name of national legal acts and other agreements | |||
Act on Agricultural Census 2000. |
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6.1.3. Link to national legal acts and other agreements | |||
https://narodne-novine.nn.hr/clanci/sluzbeni/2019_06_63_1233.html |
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6.1.4. Year of entry into force of national legal acts and other agreements | |||
2020 |
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6.1.5. Legal obligations for respondents | |||
Yes | |||
6.2. Institutional Mandate - data sharing | |||
Act on Agricultural Census 2020 gives Croatian Bureau of Statistics (CBS) rights to access data available in administrative sources and databases (IACS, vineyard register, records relating to rural development measures). Furthermore, there are written agreements with data providing and receiving agencies. |
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7.1. Confidentiality - policy | |||
Statistical data collected for IFS2020, according to the Law on official statistics (NN, br. 25/20.) is confidential and its purpose is restricted exclusively to statistical usage. Authorised interviewers are obliged to respect these restrictions. The results will be published in a cumulative form which prevents displaying data on individuals. Regulation (EC) No 223/2009 on European statistics (recital 24 and Article 20(4)) of 11 March 2009 (OJ L 87, p. 164), stipulates the need to establish common principles and guidelines ensuring the confidentiality of data used for the production of European statistics and the access to those confidential data with due account for technical developments and the requirements of users in a democratic society. |
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7.2. Confidentiality - data treatment | |||
See sub-categories below. |
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7.2.1. Aggregated data | |||
See sub-categories below. |
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7.2.1.1. Rules used to identify confidential cells | |||
Threshold rule (The number of contributors is less than a pre-specified threshold) Dominance rule (The n largest contributions make up for more than k% of the cell total) Secondary confidentiality rules |
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7.2.1.2. Methods to protect data in confidential cells | |||
Table redesign (Collapsing rows and/or columns) Cell suppression (Completely suppress the value of some cells) Rounding: controlled, deterministic or random (Round each cell value to a pre-specified rounding base) |
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7.2.1.3. Description of rules and methods | |||
In the ongoing CBS restructuring, it is foreseen to place the focal point for ensuring confidentiality, including provision of guidance, recommending appropriate methodologies and periodical examination of methods used for data protection, within the Statistical Business Register, Classifications, Sampling, Statistical Methods and Analyses Department. A filter is applied during the table compilation using the following processes: • dominance treatment: if any holdings account for at least 85% of the value, this value is put to zero; • small number of units: if a value is calculated from less than 3 holdings, this value is put to zero; • rounding: the values are rounded to the closer multiple of 10. |
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7.2.2. Microdata | |||
See sub-categories below. |
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7.2.2.1. Use of EU methodology for microdata dissemination | |||
Yes | |||
7.2.2.2. Methods of perturbation | |||
Micro-aggregation | |||
7.2.2.3. Description of methodology | |||
The information is provided in the Ordinance on Conditions and Terms of Using Confidential Data for Scientific Purposes (Official Gazette, No. 137/13) which defines in detail conditions, modalities and measures for protecting confidential information (research proposal submitted by independent researchers or research entities referred to in Article 2 of the Ordinance; access to confidential data on the basis of research proposals submitted and approved; confidential declaration has to be signed by any individual researcher using confidential data; special contract has to be concluded inter CBS and independent researcher or research entity; access to confidential data may be granted only for the period of the duration of the research project, max 5 years; obligations for taking all legal, administrative, technical and organisational safeguards of the confidential data for scientific purpose which have been granted; confidential data must be destroyed when the research project is finished; after expiry of the research project, the researchers or research entity are obliged to provide CBS with references to all reports that have been produced using the data; termination access to data etc.). Each usage of confidential information is regulated through a specific contract with CBS, which strictly regulates this issue. |
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8.1. Release calendar | |||
Notifications about the dissemination of statistics are published in the calendar of statistical data issues. This Calendar contains the review of publications planned to be issued in current year and by the end of May for next year, which depends on when the processing of a particular statistical survey can be finished and on whether it is feasible to make a particular kind of publication or not. All Calendars are publicly available. |
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8.2. Release calendar access | |||
8.3. Release policy - user access | |||
Data are disseminated according to a predefined calendar and are simultaneously available to all users on the pages of CBS. |
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8.3.1. Use of quality rating system | |||
No | |||
8.3.1.1. Description of the quality rating system | |||
Not applicable. |
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Every 3-4 years. |
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10.1. Dissemination format - News release | |||
See sub-categories below. |
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10.1.1. Publication of news releases | |||
Yes | |||
10.1.2. Link to news releases | |||
https://web.dzs.hr/Hrv_Eng/publication/2020/01-01-29_01_2020.htm |
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10.2. Dissemination format - Publications | |||
See sub-categories below. |
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10.2.1. Production of paper publications | |||
No | |||
10.2.2. Production of on-line publications | |||
No | |||
10.2.3. Title, publisher, year and link | |||
Not applicable. |
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10.3. Dissemination format - online database | |||
See sub-categories below. |
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10.3.1. Data tables - consultations | |||
We do not monitor and record the number of consultations of data tables in the field of farm structure. |
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10.3.2. Accessibility of online database | |||
Yes | |||
10.3.3. Link to online database | |||
Database with IFS2020 data is available on the website of CBS: Statistical database |
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10.4. Dissemination format - microdata access | |||
See sub-category below. |
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10.4.1. Accessibility of microdata | |||
Yes | |||
10.5. Dissemination format - other | |||
Not available. |
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10.5.1. Metadata - consultations | |||
Not requested. |
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10.6. Documentation on methodology | |||
See sub-categories below. |
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10.6.1. Metadata completeness - rate | |||
Not requested. |
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10.6.2. Availability of national reference metadata | |||
No | |||
10.6.3. Title, publisher, year and link to national reference metadata | |||
Not applicable. |
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10.6.4. Availability of national handbook on methodology | |||
No | |||
10.6.5. Title, publisher, year and link to handbook | |||
Not applicable. |
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10.6.6. Availability of national methodological papers | |||
Yes | |||
10.6.7. Title, publisher, year and link to methodological papers | |||
Title - Upute za popisivače; Upute za poslovne subjekte. Publisher - CROATIAN BUREAU OF STATISTICS Year - 2020 Please see the annexes. Annexes: 10.6.7 Upute za popisivače 10.6.7. Upute za poslovne subjekte |
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10.7. Quality management - documentation | |||
CBS accepted Total quality management (TQM) approach as the general model for quality management, quality assessment and quality improvement. To support implementation of this model the basic strategic document is developed where the following main cornerstones of the TQM model are explained and described: • High quality statistical processes and products • User satisfaction • Professional orientation of the employees • Efficiency of the processes • Reduction of the response burden For each of these general aims, concrete actions are foreseen and plans for their implementation described. |
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11.1. Quality assurance | |||
See sub-categories below. |
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11.1.1. Quality management system | |||
Yes | |||
11.1.2. Quality assurance and assessment procedures | |||
Training courses Use of best practices |
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11.1.3. Description of the quality management system and procedures | |||
In order to establish a comprehensive system of quality, the Croatian Bureau of Statistics applies the model of Total Quality Management, which also contains the Code of Practice of European Statistics. This model offers a possibility of continuous improvement for each business process. It focuses not only on products and services, but also to users and their satisfaction, the active participation of employees, long-term business success and social benefit. The communication is recognized as a key element of all statistical processes that affect the business success. Annexes: 11.1.3. Total quality management |
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11.1.4. Improvements in quality procedures | |||
We started preparing files for import into the Generic Statistical Business Process Model (GSBPM) application from 2019 onwards. Annexes: 11.1.4. Quality report statistical processes template |
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11.2. Quality management - assessment | |||
In general, the data quality is good. See attached files. Annexes: 11.2. Per Review Croatia 2015 11.2. Progress report on implementation of the Code of Practice 2017 |
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12.1. Relevance - User Needs | |||
Ministry of Agriculture, Faculty of Agriculture, Government of the Republic of Croatia, researchers and the general public for the purpose of forming economic policy and allocating state budget resources. |
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12.1.1. Main groups of variables collected only for national purposes | |||
Some of the characteristics were added to the questionnaire for national purposes only: • holder's name and surname, • areas under triticale (included in other cereals), • areas under secondary crops, • address of the holder, • number of trees in extensive orchards and olive groves and number of vines in vineyards – needed for calculation of production, • all spices of vegetables are added in open fields, in glasshouses and in kitchen gardens.
The characteristics surveyed only for national purposes are used in EAA, for updating farm register and for calculating standard output. |
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12.1.2. Unmet user needs | |||
There is no information about unmet user needs. |
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12.1.3. Plans for satisfying unmet user needs | |||
Not applicable. |
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12.2. Relevance - User Satisfaction | |||
CBS conducts user satisfaction surveys. |
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12.2.1. User satisfaction survey | |||
Yes | |||
12.2.2. Year of user satisfaction survey | |||
2015 |
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12.2.3. Satisfaction level | |||
Satisfied Annexes: 12.2.3. Satisfaction survey 2015 |
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12.3. Completeness | |||
Information on low- and zero prevalence variables is available on: Eurostat's website. |
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12.3.1. Data completeness - rate | |||
Not applicable for Integrated Farm Statistics as the not collected variables, not-significant variables and not-existent variables are completed with 0. |
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13.1. Accuracy - overall | |||
See categories below. |
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13.2. Sampling error | |||
See sub-categories below. |
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13.2.1. Sampling error - indicators | |||
Please find the relative standard errors for the main variables in the annex. Annexes: 13.2.1. Relative standard errors |
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13.2.2. Reasons for non-compliant precision requirements in relation to Regulation (EU) 2018/1091 | |||
Not applicable. Core and modules are carried out as a census. |
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13.2.3. Methodology used to calculate relative standard errors | |||
Not applicable. Core and modules are carried out as a census. |
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13.2.4. Impact of sampling error on data quality | |||
None | |||
13.3. Non-sampling error | |||
See sub-categories below. |
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13.3.1. Coverage error | |||
See sub-categories below. |
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13.3.1.1. Over-coverage - rate | |||
The over-coverage rate is available in the annex. The over-coverage rate is unweighted. Annexes: 13.3.1.1 Over-coverage rate and Unit non-response rate |
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13.3.1.1.1. Types of holdings included in the frame but not belonging to the population of the core (main frame and if applicable frame extension) | |||
Below thresholds during the reference period Temporarily out of production during the reference period Ceased activities Merged to another unit Duplicate units |
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13.3.1.1.2. Actions to minimize the over-coverage error | |||
Removal of ineligible units from the records, leaving unchanged the weights for the other units | |||
13.3.1.1.3. Additional information over-coverage error | |||
Core indicators as well as modules were surveyed as a census, no re-weighting was used and therefore ineligible units were just not taken into account when calculating totals. |
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13.3.1.2. Common units - proportion | |||
Not requested. |
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13.3.1.3. Under-coverage error | |||
See sub-categories below. |
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13.3.1.3.1. Under-coverage rate | |||
Under-coverage is very low as the frame for survey was statistical Register of agricultural holdings (SRAH) that has been updated with all available administrative sources. |
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13.3.1.3.2. Types of holdings belonging to the population of the core but not included in the frame (main frame and if applicable frame extension) | |||
Units with outdated information in the frame (variables below thresholds in the frame but above thresholds in the reference period) Other |
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13.3.1.3.3. Actions to minimise the under-coverage error | |||
Further updating of SRAH. |
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13.3.1.3.4. Additional information under-coverage error | |||
Not available. |
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13.3.1.4. Misclassification error | |||
No | |||
13.3.1.4.1. Actions to minimise the misclassification error | |||
Not applicable. |
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13.3.1.5. Contact error | |||
Yes | |||
13.3.1.5.1. Actions to minimise the contact error | |||
Contact information is constantly updated. Information comes from the SBR, IACS or direct information from respondents in the census questionnaire. |
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13.3.1.6. Impact of coverage error on data quality | |||
Low | |||
13.3.2. Measurement error | |||
See sub-categories below. |
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13.3.2.1. List of variables mostly affected by measurement errors | |||
Statistics corrects possible errors of measurement using the logic-numeric control. We are trying to avoid the measurement error by training of interviewers and supervisors, control data and process validation. Characteristics that are complicated for both respondents and interviewers are related to labour force, animal housing and manure management. After data entry, extreme values of variables are checked and corrected if necessary. |
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13.3.2.2. Causes of measurement errors | |||
Complexity of variables Unclear questions Respondents’ inability to provide accurate answers |
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13.3.2.3. Actions to minimise the measurement error | |||
Pre-testing questionnaire Pre-filled questions Explanatory notes or handbooks for enumerators or respondents On-line FAQ or Hot-line support for enumerators or respondents Training of enumerators |
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13.3.2.4. Impact of measurement error on data quality | |||
Low | |||
13.3.2.5. Additional information measurement error | |||
The CAPI application contains logic-numeric controls which warning interviewer on possible measurement caused errors. Also, the set of basic checks are implemented in CAWI application in order to reduce measurement errors. Remaining errors are mostly detected throw data processing and corrected accordingly. |
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13.3.3. Non response error | |||
See sub-categories below. |
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13.3.3.1. Unit non-response - rate | |||
The unit non-response rate is in the annex of item 13.3.1.1. The unit non-response rate is unweighted. |
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13.3.3.1.1. Reasons for unit non-response | |||
Failure to make contact with the unit Refusal to participate Inability to participate (e.g. illness, absence) |
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13.3.3.1.2. Actions to minimise or address unit non-response | |||
Follow-up interviews Reminders Imputation |
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13.3.3.1.3. Unit non-response analysis | |||
The unit non-response rate was very low and no special analysis was made. |
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13.3.3.2. Item non-response - rate | |||
The item non-response is very low and it is not specially measured. |
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13.3.3.2.1. Variables with the highest item non-response rate | |||
Not applicable. |
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13.3.3.2.2. Reasons for item non-response | |||
Skip of due question Farmers do not know the answer |
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13.3.3.2.3. Actions to minimise or address item non-response | |||
Follow-up interviews Imputation |
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13.3.3.3. Impact of non-response error on data quality | |||
Low | |||
13.3.3.4. Additional information non-response error | |||
Unit non-response is handled by imputation of information from the available administrative sources. |
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13.3.4. Processing error | |||
See sub-categories below. |
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13.3.4.1. Sources of processing errors | |||
Data processing | |||
13.3.4.2. Imputation methods | |||
Previous data for the same unit Other |
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13.3.4.3. Actions to correct or minimise processing errors | |||
Within data validation tool exist lot of the numeric-logical controls and active signals that practically prevent the creation of processing errors. |
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13.3.4.4. Tools and staff authorised to make corrections | |||
Only employees from the Agricultural, Production and Structural Statistics Department, who were directly involved in data processing, were authorised to make corrections. |
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13.3.4.5. Impact of processing error on data quality | |||
Low | |||
13.3.4.6. Additional information processing error | |||
Not available. |
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13.3.5. Model assumption error | |||
Not applicable. |
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14.1. Timeliness | ||||||||||||
See sub-categories below. |
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14.1.1. Time lag - first result | ||||||||||||
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14.1.2. Time lag - final result | ||||||||||||
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14.2. Punctuality | ||||||||||||
See sub-categories below. |
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14.2.1. Punctuality - delivery and publication | ||||||||||||
See sub-categories below. |
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14.2.1.1. Punctuality - delivery | ||||||||||||
Not requested. |
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14.2.1.2. Punctuality - publication | ||||||||||||
Data are published according to the planned timetable. |
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15.1. Comparability - geographical | |||||||||||||||||||
See sub-categories below. |
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15.1.1. Asymmetry for mirror flow statistics - coefficient | |||||||||||||||||||
Not applicable, because there are no mirror flows in Integrated Farm Statistics. |
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15.1.2. Definition of agricultural holding | |||||||||||||||||||
See sub-categories below. |
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15.1.2.1. Deviations from Regulation (EU) 2018/1091 | |||||||||||||||||||
The definition of agricultural holdings is in accordance with Regulation (EU) 2018/1091. |
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15.1.2.2. Reasons for deviations | |||||||||||||||||||
Not applicable. |
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15.1.3. Thresholds of agricultural holdings | |||||||||||||||||||
See sub-categories below. |
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15.1.3.1. Proofs that the EU coverage requirements are met | |||||||||||||||||||
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15.1.3.2. Differences between the national thresholds and the thresholds used for the data sent to Eurostat | |||||||||||||||||||
No differences. |
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15.1.3.3. Reasons for differences | |||||||||||||||||||
Not applicable. |
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15.1.4. Definitions and classifications of variables | |||||||||||||||||||
See sub-categories below. |
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15.1.4.1. Deviations from Regulation (EU) 2018/1091 and EU handbook | |||||||||||||||||||
There are no deviations from Regulation (EU) 2018/1091 and the EU handbook. |
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15.1.4.1.1. The number of working hours and days in a year corresponding to a full-time job | |||||||||||||||||||
The information is available in the annex. Annexes: 15.1.4.1.1. AWU |
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15.1.4.1.2. Point chosen in the Annual work unit (AWU) percentage band to calculate the AWU of holders, managers, family and non-family regular workers | |||||||||||||||||||
The information is available in the annex of item 15.1.4.1.1. |
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15.1.4.1.3. AWU for workers of certain age groups | |||||||||||||||||||
The information is available in the annex of item 15.1.4.1.1. |
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15.1.4.1.4. Livestock coefficients | |||||||||||||||||||
No national livestock coefficients are used. HR has used the same livestock coefficients as those set in Regulation (EU) 2018/1091. |
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15.1.4.1.5. Livestock included in “Other livestock n.e.c.” | |||||||||||||||||||
No deviations. |
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15.1.4.2. Reasons for deviations | |||||||||||||||||||
Not applicable. |
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15.1.5. Reference periods/days | |||||||||||||||||||
See sub-categories below. |
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15.1.5.1. Deviations from Regulation (EU) 2018/1091 | |||||||||||||||||||
No deviations. |
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15.1.5.2. Reasons for deviations | |||||||||||||||||||
Not applicable. |
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15.1.6. Common land | |||||||||||||||||||
The concept of common land exists | |||||||||||||||||||
15.1.6.1. Collection of common land data | |||||||||||||||||||
Yes | |||||||||||||||||||
15.1.6.2. Reasons if common land exists and data are not collected | |||||||||||||||||||
Not applicable. |
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15.1.6.3. Methods to record data on common land | |||||||||||||||||||
Common land is included in the land of agricultural holdings renting or being allotted the land based on written or oral agreements. Common land is included in separate records representing virtual entities without managers. |
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15.1.6.4. Source of collected data on common land | |||||||||||||||||||
Surveys Administrative sources |
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15.1.6.5. Description of methods to record data on common land | |||||||||||||||||||
In IFS2020, the land used as common land was directly attached to farms and also collected as common land units at regional level. The common land is mainly in state ownership. The obtained area of common land used by the farm was mainly added to the rough grazing area of the farm. A separate questionnaire for common land was not used in FSS questionnaire. Concerning data coming from administrative source (Ministry of Agriculture), the area of common land is recorded in a special unit in the dataset at level of NUTS3 regions (15 units). In terms of tenure classification is treated as common land. The area of permanent grassland in state owned is on around 1 million hectares in Croatia based on cadastral data (but not all area is used) and in common land units utilised area of grasslands is presented. |
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15.1.6.6. Possible problems in relation to the collection of data on common land and proposals for future data collections | |||||||||||||||||||
It was not possible to allocate the common land on farms with grazing livestock because data on lower NUTS were not available. |
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15.1.7. National standards and rules for certification of organic products | |||||||||||||||||||
See sub-categories below. |
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15.1.7.1. Deviations from Council Regulation (EC) No 834/2007 | |||||||||||||||||||
No deviations. |
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15.1.7.2. Reasons for deviations | |||||||||||||||||||
Not applicable. |
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15.1.8. Differences in methods across regions within the country | |||||||||||||||||||
There are no differences in methods across regions within the country. |
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15.2. Comparability - over time | |||||||||||||||||||
See sub-categories below. |
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15.2.1. Length of comparable time series | |||||||||||||||||||
10 years. |
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15.2.2. Definition of agricultural holding | |||||||||||||||||||
See sub-categories below. |
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15.2.2.1. Changes since the last data transmission to Eurostat | |||||||||||||||||||
There have been no changes | |||||||||||||||||||
15.2.2.2. Description of changes | |||||||||||||||||||
Regulation (EU) 2018/1091 newly considers agricultural holdings with only fur animals. However, our country does not raise fur animals. |
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15.2.3. Thresholds of agricultural holdings | |||||||||||||||||||
See sub-categories below. |
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15.2.3.1. Changes in the thresholds of holdings for which core data are sent to Eurostat since the last data transmission | |||||||||||||||||||
There have been some changes but not enough to warrant the designation of a break in series | |||||||||||||||||||
15.2.3.2. Description of changes | |||||||||||||||||||
A new threshold - for mushrooms - was applied in 2020 (this category was non-significant in 2016). Due to the changes in thresholds, the holdings with mushrooms are included. The impact on total utilised agricultural area and number of holdings is minor, but the impact on SO's is not negligible. |
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15.2.4. Geographical coverage | |||||||||||||||||||
See sub-categories below. |
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15.2.4.1. Change in the geographical coverage since the last data transmission to Eurostat | |||||||||||||||||||
There have been no changes | |||||||||||||||||||
15.2.4.2. Description of changes | |||||||||||||||||||
Not applicable. |
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15.2.5. Definitions and classifications of variables | |||||||||||||||||||
See sub-categories below. |
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15.2.5.1. Changes since the last data transmission to Eurostat | |||||||||||||||||||
There have been some changes but not enough to warrant the designation of a break in series | |||||||||||||||||||
15.2.5.2. Description of changes | |||||||||||||||||||
Legal personality of the agricultural holding In IFS, there is a new class (“shared ownership”) for the legal personality of the holding compared to FSS 2016, which trigger fluctuations of holdings in the classes of sole holder holdings and group holdings. Other livestock n.e.c. In FSS 2016, there was a class for the collection of equidae. That has been dropped and equidae are included in IFS in "other livestock n.e.c." Livestock units In FSS 2016, turkeys, ducks, geese, ostriches and other poultry were considered each one in a separate class with a coefficient of 0.03 for all the classes except for ostriches (coefficient 0.035). In IFS 2020, the coefficients were adjusted accordingly, with turkeys remaining at 0.03, ostriches remaining at 0.35, ducks adjusted to 0.01, geese adjusted to 0.02 and other poultry fowls n.e.c. adjusted to 0.001. Organic animals While in FSS only fully compliant (certified converted) animals were included, in IFS both animals under conversion and fully converted are to be included. |
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15.2.6. Reference periods/days | |||||||||||||||||||
See sub-categories below. |
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15.2.6.1. Changes since the last data transmission to Eurostat | |||||||||||||||||||
There have been some changes but not enough to warrant the designation of a break in series | |||||||||||||||||||
15.2.6.2. Description of changes | |||||||||||||||||||
In FSS 2016, the 12-month period for land and labour force variables is from 1 June 2015 to 31 May 2016. In IFS 2020, the 12-month period for land and labour force variables is from 2 June 2019 to 1 June 2020. |
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15.2.7. Common land | |||||||||||||||||||
See sub-categories below. |
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15.2.7.1. Changes in the methods to record common land since the last data transmission to Eurostat | |||||||||||||||||||
There have been some changes but not enough to warrant the designation of a break in series | |||||||||||||||||||
15.2.7.2. Description of changes | |||||||||||||||||||
The methods used in 2016 were as follows: - Common land is included in the land of agricultural holdings renting or being allotted the land based on written and oral agreements. - Common land is included in the land of agricultural holdings based on a statistical model. - Common land is included in separate records representing virtual entities without managers.
In 2020, these two methods have been used: - Common land is included in separate records representing virtual entities without managers - Common land is included in the land of agricultural holdings renting or being allotted the land based on written and oral agreements. |
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15.2.8. Explanations for major trends of main variables compared to the last data transmission to Eurostat | |||||||||||||||||||
Animal production statistics.
- A2120, there is increase trend of calves for fattening.
- A2300F In 2020 there is decreasing trend due to low purchase price of milk in Croatia and lot of dairy farms stopped with activity and on the other hand, the number of suckler cows is increasing.
- Number of holdings growing animals is decreasing during the years. Especially it is visible in the dairy: sector where number of holdings produces milk significantly decreased in the last decade.
Crops production statistics.
- C1300F, there has been an upward trend in barley production, especially for malting barley.
- C1400T, there is a constant decrease in the area of oats.
- F2000T, F3000T and F4000T, there is increase trend of area under figs, pomegranate, nuts (especially walnuts), berries (especially rosehip).
- Regarding the irrigable area the strategic goal (National Project of Irrigation and Land and Water Management in the in the Republic of Croatia) is to have the 65 000 hectares under irrigation until 2030.
Concerning the decreasing area under grapes for other wines and grapes for table use that is result of grubbing up and diseases.
Labour force.
- MOGA-NFAM_RH the number of non-family labour force regularly working on the holding and having other gainful activities (related to the agricultural holding) as their main activity is increased due the fact that farmers used more measures from rural development programmes that require the employment of the non-family labour force engaged in OGA.
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15.2.9. Maintain of statistical identifiers over time | |||||||||||||||||||
Yes | |||||||||||||||||||
15.3. Coherence - cross domain | |||||||||||||||||||
See sub-categories below. |
|||||||||||||||||||
15.3.1. Coherence - sub annual and annual statistics | |||||||||||||||||||
Not applicable to Integrated Farm Statistics, because there are no sub annual data collections in agriculture. |
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15.3.2. Coherence - National Accounts | |||||||||||||||||||
Not applicable, because Integrated Farm Statistics have no relevance for national accounts. |
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15.3.3. Coherence at micro level with data collections in other domains in agriculture | |||||||||||||||||||
See sub-categories below. |
|||||||||||||||||||
15.3.3.1. Analysis of coherence at micro level | |||||||||||||||||||
Yes | |||||||||||||||||||
15.3.3.2. Results of analysis at micro level | |||||||||||||||||||
IFS micro level data were compared with “Annual Crop Statistics” and “Animal Production Statistics”. There were differences related to the animal production statistics occurred due to the different reference dates. |
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15.3.4. Coherence at macro level with data collections in other domains in agriculture | |||||||||||||||||||
See sub-categories below. |
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15.3.4.1. Analysis of coherence at macro level | |||||||||||||||||||
Yes | |||||||||||||||||||
15.3.4.2. Results of analysis at macro level | |||||||||||||||||||
For animal production statistics, the differences occurred between IFS and animal production statistics are due to the different reference dates. |
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15.4. Coherence - internal | |||||||||||||||||||
The data are internally consistent. This is ensured by the application of a wide range of validation rules. |
|
|||
See sub-categories below. |
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16.1. Coordination of data collections in agricultural statistics | |||
Within the framework of the IFS2020, the regular annual Survey on Areas Sown and Survey on early crops and fruits was carried out. With this kind of organisation we carried out only one survey and reduced the response burden on farmers. On the other hand, we have to provide results for the Survey on Areas Sown much earlier than for the IFS, which means more burdens for the CBS. The biggest burden is on biggest units for which we have full coverage in the sample and for all cycles of surveys while for the smaller units the Classifications, Sampling, Statistical Methods and Analyses Department controlled that the same unit is not included in the sample in consecutive number of times. |
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16.2. Efficiency gains since the last data transmission to Eurostat | |||
Further automation Increased use of administrative data |
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16.2.1. Additional information efficiency gains | |||
Not available. |
|||
16.3. Average duration of farm interview (in minutes) | |||
See sub-categories below. |
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16.3.1. Core | |||
Not available. |
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16.3.2. Module ‘Labour force and other gainful activities‘ | |||
Not available. |
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16.3.3. Module ‘Rural development’ | |||
Not relevant (data were collected from the administrative source). |
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16.3.4. Module ‘Animal housing and manure management’ | |||
Not available. |
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17.1. Data revision - policy | |||
Revision Policy of the Croatian Bureau of Statistics is based on the principles of the European Statistics Code of Practice. Revision policy of the Croatian Bureau of Statistics distinguishes three types of revisions: regular revisions, major revisions and unscheduled revisions. Unplanned revision of the IFS2020 may be carried out. In any case it is necessary to clarify the reasons for a revision (mistake in data sources or calculations or due to the unexpected changes in the methodology or data sources). |
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17.2. Data revision - practice | |||
Data revision is not planned so far. |
|||
17.2.1. Data revision - average size | |||
Not requested. |
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Annexes: 18. Timetable_statistical_process |
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18.1. Source data | |||
See sub-categories below. |
|||
18.1.1. Population frame | |||
See sub-categories below. |
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18.1.1.1. Type of frame | |||
List frame | |||
18.1.1.2. Name of frame | |||
Statistical Register of Agricultural holdings. |
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18.1.1.3. Update frequency | |||
Annual | |||
18.1.2. Core data collection on the main frame | |||
See sub-categories below. |
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18.1.2.1. Coverage of agricultural holdings | |||
Census | |||
18.1.2.2. Sampling design | |||
Not applicable for 2019/2020. |
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18.1.2.2.1. Name of sampling design | |||
Not applicable | |||
18.1.2.2.2. Stratification criteria | |||
Not applicable | |||
18.1.2.2.3. Use of systematic sampling | |||
Not applicable | |||
18.1.2.2.4. Full coverage strata | |||
Not applicable for 2019/2020. |
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18.1.2.2.5. Method of determination of the overall sample size | |||
Not applicable for 2019/2020. |
|||
18.1.2.2.6. Method of allocation of the overall sample size | |||
Not applicable | |||
18.1.3. Core data collection on the frame extension | |||
See sub-categories below. |
|||
18.1.3.1. Coverage of agricultural holdings | |||
Census | |||
18.1.3.2. Sampling design | |||
Not applicable. |
|||
18.1.3.2.1. Name of sampling design | |||
Not applicable | |||
18.1.3.2.2. Stratification criteria | |||
Not applicable | |||
18.1.3.2.3. Use of systematic sampling | |||
Not applicable | |||
18.1.3.2.4. Full coverage strata | |||
Not applicable. |
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18.1.3.2.5. Method of determination of the overall sample size | |||
Not applicable. |
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18.1.3.2.6. Method of allocation of the overall sample size | |||
Not applicable | |||
18.1.4. Module “Labour force and other gainful activities” | |||
See sub-categories below. |
|||
18.1.4.1. Coverage of agricultural holdings | |||
Census | |||
18.1.4.2. Sampling design | |||
Not applicable. |
|||
18.1.4.2.1. Name of sampling design | |||
Not applicable | |||
18.1.4.2.2. Stratification criteria | |||
Not applicable | |||
18.1.4.2.3. Use of systematic sampling | |||
Not applicable | |||
18.1.4.2.4. Full coverage strata | |||
Not applicable. |
|||
18.1.4.2.5. Method of determination of the overall sample size | |||
Not applicable. |
|||
18.1.4.2.6. Method of allocation of the overall sample size | |||
Not applicable | |||
18.1.4.2.7. If sampled from the core sample, the sampling and calibration strategy | |||
Not applicable | |||
18.1.5. Module “Rural development” | |||
See sub-categories below. |
|||
18.1.5.1. Coverage of agricultural holdings | |||
Census | |||
18.1.5.2. Sampling design | |||
Not applicable. |
|||
18.1.5.2.1. Name of sampling design | |||
Not applicable | |||
18.1.5.2.2. Stratification criteria | |||
Not applicable | |||
18.1.5.2.3. Use of systematic sampling | |||
Not applicable | |||
18.1.5.2.4. Full coverage strata | |||
Not applicable. |
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18.1.5.2.5. Method of determination of the overall sample size | |||
Not applicable. |
|||
18.1.5.2.6. Method of allocation of the overall sample size | |||
Not applicable | |||
18.1.5.2.7. If sampled from the core sample, the sampling strategy and calibration strategy | |||
Not applicable | |||
18.1.6. Module “Animal housing and manure management module” | |||
See sub-categories below. |
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18.1.6.1. Coverage of agricultural holdings | |||
Census | |||
18.1.6.2. Sampling design | |||
Not applicable. |
|||
18.1.6.2.1. Name of sampling design | |||
Not applicable | |||
18.1.6.2.2. Stratification criteria | |||
Not applicable | |||
18.1.6.2.3. Use of systematic sampling | |||
Not applicable | |||
18.1.6.2.4. Full coverage strata | |||
Not applicable. |
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18.1.6.2.5. Method of determination of the overall sample size | |||
Not applicable. |
|||
18.1.6.2.6. Method of allocation of the overall sample size | |||
Not applicable | |||
18.1.6.2.7. If sampled from the core sample, the sampling strategy and calibration strategy | |||
Not applicable | |||
18.1.12. Software tool used for sample selection | |||
Not applicable. |
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18.1.13. Administrative sources | |||
See sub-categories below. |
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18.1.13.1. Administrative sources used and the purposes of using them | |||
The information is available on Eurostat's website. |
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18.1.13.2. Description and quality of the administrative sources | |||
See the attached Excel file in the Annex. Annexes: 18.1.13.2. Description_quality_administrative sources |
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18.1.13.3. Difficulties using additional administrative sources not currently used | |||
None | |||
18.1.14. Innovative approaches | |||
The information on innovative approaches is available on Eurostat's website. |
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18.2. Frequency of data collection | |||
The agricultural census is conducted every 10 years. The decennial agricultural census is complemented by sample or census-based data collections organised every 3-4 years in-between. |
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18.3. Data collection | |||
See sub-categories below. |
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18.3.1. Methods of data collection | |||
Postal, non-electronic version Postal, electronic version (email) Face-to-face, electronic version Telephone, electronic version Use of Internet |
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18.3.2. Data entry method, if paper questionnaires | |||
Not applicable | |||
18.3.3. Questionnaire | |||
Please find the questionnaire in annex. Annexes: 18.3.3 Questionnaire for private family farms in Croatian 18.3.3 Questionnaire for business entities in Croatian 18.3.3 Questionnaire for private family farms in English 18.3.3 Questionnaire for business entities in English |
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18.4. Data validation | |||
See sub-categories below. |
|||
18.4.1. Type of validation checks | |||
Completeness checks Range checks Comparisons with previous rounds of the data collection |
|||
18.4.2. Staff involved in data validation | |||
Interviewers Supervisors Staff from local departments Staff from central department Other |
|||
18.4.3. Tools used for data validation | |||
Validation rules were used in the questionnaires and within special data processing tool. Additional validations were done through special queries. |
|||
18.5. Data compilation | |||
Not applicable. |
|||
18.5.1. Imputation - rate | |||
The imputation rate is 6,9%. Imputation is done for unit non-response and includes all corresponding variables from the administrative sources. |
|||
18.5.2. Methods used to derive the extrapolation factor | |||
Not applicable | |||
18.6. Adjustment | |||
Covered under Data compilation. |
|||
18.6.1. Seasonal adjustment | |||
Not applicable to Integrated Farm Statistics, because it collects structural data on agriculture. |
|
|||
See sub-categories below. |
|||
19.1. List of abbreviations | |||
AWU - Annual working unit CAP – Common Agricultural Policy CAPI – Computer Assisted Personal Interview CATI – Computer Assisted Telephone Interview CAWI – Computer Assisted Web Interview CBS - Croatian Bureau of Statistics EAA - Economic accounts for Agriculture EU - European Union FSS – Farm Structure Survey GSBPM - Generic Statistical Business Process Model IACS – Integrated Administration and Control System IFS – Integrated Farm Statistics LSU – Livestock units NACE – Nomenclature of Economic Activities NUTS – Nomenclature of territorial units for statistics PAPI – Paper and Pencil Interview SBR - Statistical business register SO – Standard output SRAH - Register of agricultural holdings TQM - Total quality management UAA – Utilised agricultural area |
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19.2. Additional comments | |||
No additional comments. |
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