Farm Structure Survey 2003
Latvia, 2003
Created on
Apr 25, 2019
Last modified
Apr 25, 2019
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Identification
Survey ID Number
LVA_2003_FSS_v01_M
Title
Farm Structure Survey 2003
Country
| Name | Country code |
|---|---|
| Latvia | LVA |
Study type
Agricultural Survey [ag/oth]
Series Information
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.
Information 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.
After 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.
Information 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.
After 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.
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.
Kind of Data
Sample survey data [ssd]
Unit of Analysis
Farms
Scope
Notes
The scope of the FSS 2003 includes the following:
· General description of the farm and holder (user)
· Land use
· Utilisation of arable land
· Number of livestock and poultry
· Stock of agricultural machines
· Farm storage facilities of manure and irrigation devices
· Farm labour force, permanent and temporary
· Rural development
· General description of the farm and holder (user)
· Land use
· Utilisation of arable land
· Number of livestock and poultry
· Stock of agricultural machines
· Farm storage facilities of manure and irrigation devices
· Farm labour force, permanent and temporary
· Rural development
Coverage
Geographic Coverage
National
Universe
All economically active farms - farms, which produce agricultural production, were involved in the target population for the FSS 2003.
The definition of a holding is in line with the EU Farm Structure Survey definition.
Agricultural 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.
The definition of a holding is in line with the EU Farm Structure Survey definition.
Agricultural 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.
Producers and sponsors
Primary investigators
| Name |
|---|
| Central Statistical Bureau of Latvia |
Producers
| Name |
|---|
| Eurostat |
Sampling
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.
Response Rate
The unit non-response was 2%, re-weighting was used to adjust it.
Data Collection
Dates of Data Collection
| Start | End |
|---|---|
| 2003-05-30 | 2003-06-15 |
Data Collection Mode
Face-to-face [f2f]
Data Collectors
| Name | Abbreviation |
|---|---|
| Central Statistical Bureau of Latvia | CSB |
Data Appraisal
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).
Access policy
Access authority
| Name | URL | |
|---|---|---|
| Central Statistical Bureau | info@csb.gov.lv | http://www.csb.gov.lv/ |
Contacts
| Name | Affiliation | URL | |
|---|---|---|---|
| Anita Raubena/Departamenta Direktora Vietnieks | Central Statistical Bureau of Latvia | Anita.Raubena@csb.gov.lv | http://www.csb.gov.lv/ |
| Central Statistical Bureau of Latvia | info@csb.gov.lv | http://www.csb.gov.lv/ | |
| Microdata Library | World Bank | microdatalib@worldbank.org |
Confidentiality
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.
Citation requirements
Use of the dataset must be acknowledged using a citation which would include:
- the Identification of the Primary Investigator
- the title of the survey (including country, acronym and year of implementation)
- the survey reference number
- the source and date of download
- the Identification of the Primary Investigator
- the title of the survey (including country, acronym and year of implementation)
- the survey reference number
- the source and date of download
Disclaimer and copyrights
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.
Metadata production
DDI Document ID
DDI_LVA_2013_FSS_v01_M_WB
Producers
| Name | Abbreviation | Affiliation | Role |
|---|---|---|---|
| Development Economics Data Group | DECDG | The World Bank | Documentation of the DDI |
Date of Metadata Production
2013-10-10
DDI Document version
Version 01 (October 2013)