{"type":"survey","doc_desc":{"title":"LVA_2003_FSS_v01_M","idno":"DDI_LVA_2013_FSS_v01_M_WB","producers":[{"name":"Development Economics Data Group","abbreviation":"DECDG","affiliation":"The World Bank","role":"Documentation of the DDI"}],"prod_date":"2013-10-10","version_statement":{"version":"Version 01 (October 2013)"}},"study_desc":{"title_statement":{"idno":"LVA_2003_FSS_v01_M","title":"Farm Structure Survey 2003","alt_title":"FSS 2003"},"authoring_entity":[{"name":"Central Statistical Bureau of Latvia","affiliation":""}],"production_statement":{"producers":[{"name":"Eurostat","affiliation":"","role":""}]},"distribution_statement":{"contact":[{"name":"Anita Raubena\/Departamenta Direktora Vietnieks","affiliation":"Central Statistical Bureau of Latvia","email":"Anita.Raubena@csb.gov.lv","uri":"http:\/\/www.csb.gov.lv\/"},{"name":"Central Statistical Bureau of Latvia","affiliation":"","email":"info@csb.gov.lv","uri":"http:\/\/www.csb.gov.lv\/"},{"name":"Microdata Library","affiliation":"World Bank","email":"microdatalib@worldbank.org","uri":""}]},"series_statement":{"series_name":"Agricultural Survey [ag\/oth]","series_info":"The first Farm Structure Survey in accordance to the requirements of EP Regulation (EEC) No 571\/88 was carried out in 2001 in the form of census. The list of indicators included in the survey was formed in accordance to the EU requirements and needs of national users. Before that Agricultural Census was carried out in 1939, but results of this census were not completely compiled due to the war.\n\nInformation acquired in the Agricultural Census of 2001 was essential for national needs. In this Census basic information on the number of agricultural farms, their size, structure and economic activities was obtained. This information served as base for the creation of farm concept in the Statistical Farm Register, which was built up at household level in 1999.\n\nAfter Agricultural Census, Farm Structure Surveys are carried out every second year. The main target of the Farm Structure Surveys is to obtain information on structure and types of agricultural farms and their agricultural activities in Latvia in accordance with the EU and national requirements. The information obtained in the FSS survey is very important also for the local users, for analysis of the situation in agriculture of Latvia, and to draw up its development trends. In 2003 and 2005 Latvia organized FSS surveys similar to other EU Member States. All individual data files and methodological descriptions of FSS were sent to Eurostat."},"study_info":{"abstract":"A farm structure survey was carried out in all EU Member States in 2003 (2002 in Poland). The detailed results are now available for 10 Member States: Belgium, Denmark, Ireland, Latvia, Luxembourg, Hungary, Malta, Finland, Sweden and the United Kingdom.The objective of Latvia FSS 2003 was to obtain information about structure and typology of the agricultural farms and their agricultural activities in Latvia in accordance with EU and national requirements.","coll_dates":[{"start":"2003-05-30","end":"2003-06-15","cycle":""}],"nation":[{"name":"Latvia","abbreviation":"LVA"}],"geog_coverage":"National","analysis_unit":"Farms","universe":"All economically active farms - farms, which produce agricultural production, were involved in the target population for the FSS 2003.\nThe definition of a holding is in line with the EU Farm Structure Survey definition.\nAgricultural holding is a single unit both technically and economically, which has a single management and the output of which is agricultural production. The holding may also provide other supplementary (non-agricultural) products and services.","data_kind":"Sample survey data [ssd]","notes":"The scope of the FSS 2003 includes the following:\n\u00b7 General description of the farm and holder (user)\n\u00b7 Land use\n\u00b7 Utilisation of arable land\n\u00b7 Number of livestock and poultry\n\u00b7 Stock of agricultural machines\n\u00b7 Farm storage facilities of manure and irrigation devices\n\u00b7 Farm labour force, permanent and temporary\n\u00b7 Rural development","study_scope":"The scope of the FSS 2003 includes the following:\n\u00b7 General description of the farm and holder (user)\n\u00b7 Land use\n\u00b7 Utilisation of arable land\n\u00b7 Number of livestock and poultry\n\u00b7 Stock of agricultural machines\n\u00b7 Farm storage facilities of manure and irrigation devices\n\u00b7 Farm labour force, permanent and temporary\n\u00b7 Rural development"},"method":{"data_collection":{"data_collectors":[{"name":"Central Statistical Bureau of Latvia","abbreviation":"CSB","affiliation":""}],"sampling_procedure":"The  survey was a sample one. Prior full-scale agricultural census was conducted in 2001. The target population was all economically active farms which  produce agricultural products; indeed  some holdings may provide other supplementary (non-agricultural) products and  services. These holdings are included in the statistical farm register, which is  updated regularly (from  statistical  surveys and from administrative  sources like Business and  Population Registers). The frame was stratified by economic size (8 categories), by location (NUTS4 level), by type of farming (3 groups) and by special characteristics (active, non-active and new). For non-active farms owned by natural person a 20 hectare agricultural land threshold was applied. In practice all holdings have an economic size of at least 2 ESU were included, while from the other strata sample was drawn by simple random method. The sampling rate is bigger for the important strata. Altogether 49,7 thousand holdings were chosen to be surveyed.","coll_mode":"Face-to-face [f2f]"},"analysis_info":{"response_rate":"The unit non-response was 2%, re-weighting was used to adjust it.","data_appraisal":"The data are multi-level checked. For each activity (`enterprise`) on a farm (for instance wheat, dairy cow or vineyard), a standard gross margin (SGM) is estimated, based on the area (or the number of heads) and a regional coefficient. The sum of such margins in a farm is its economic size, expressed in European Size Units (ESU). 1 ESU is equal to 1200 euros. Due to differences in the coverage of units of less than 1 ESU across Member States, these data are not comparable between countries.  That is why the present analysis and graphs focus on the holdings of at least one ESU. Each farm is classified in the community typology by its economic size and its type of farming, depending on the share of each enterprise in its economic size. For instance, a farm where breeding sows account for more than 2\/3 of the economic size is classified as specialist pig rearing (type 5011). Depending on the level of aggregation, farms are grouped into 8 to 70 types. Annual working unit  (AWU)  means the labour force working yearly like a worker employed on full time basis, it is 1800 hours (225 working days of 8 working hours per day)."}},"data_access":{"dataset_use":{"conf_dec":[{"txt":"Confidentiality of the information provided by respondents is protected by Section 18 of the Official Statistics Law stipulating rights and obligations of the Central Statistical Bureau and other state authorities producing official statistics.Section 19 of the Official Statistics Law determines confidentiality exceptions.","required":"yes","form_no":"","uri":""}],"contact":[{"name":"Central Statistical Bureau","affiliation":"","email":"info@csb.gov.lv","uri":"http:\/\/www.csb.gov.lv\/"}],"cit_req":"Use of the dataset must be acknowledged using a citation which would include:\n- the Identification of the Primary Investigator\n- the title of the survey (including country, acronym and year of implementation)\n- the survey reference number\n- the source and date of download","disclaimer":"The user of the data acknowledges that the original collector of the data, the authorized distributor of the data, and the relevant funding agency bear no responsibility for use of the data or for interpretations or inferences based upon such uses."}}},"data_files":[],"variables":[],"variable_groups":[]}