The statistic shows the distribution of employment in Latvia by economic sector from 2011 to 2021. In 2021, 6.81 percent of the employees in Latvia were active in the agricultural sector, 23.55 percent in industry and 69.64 percent in the service sector.

Graph and download economic data for Infra-Annual Labor Statistics: Employment: Economic Activity: Agriculture, Forestry and Fishing: Total for Latvia (LVALFEAAGTTSTSAQ) from Q1 2008 to Q3 2024 about Latvia, agriculture, labor force, and labor.

Latvia Employment: NACE 2: Male: Annual: Agriculture, Forestry and Fishing data was reported at 42.300 Person th in 2017. This records a decrease from the previous number of 45.600 Person th for 2016. Latvia Employment: NACE 2: Male: Annual: Agriculture, Forestry and Fishing data is updated yearly, averaging 48.950 Person th from Dec 2008 (Median) to 2017, with 10 observations. The data reached an all-time high of 53.700 Person th in 2008 and a record low of 42.300 Person th in 2017. Latvia Employment: NACE 2: Male: Annual: Agriculture, Forestry and Fishing data remains active status in CEIC and is reported by Central Statistical Bureau of Latvia. The data is categorized under Global Database’s Latvia – Table LV.G008: Labour Force Survey: Employment: by Industry: Statistical Classification of Economic Activities Revision 2.

Latvia Employment: NACE 2: Female: Annual: Agriculture, Forestry and Fishing data was reported at 19.100 Person th in 2017. This records a decrease from the previous number of 23.000 Person th for 2016. Latvia Employment: NACE 2: Female: Annual: Agriculture, Forestry and Fishing data is updated yearly, averaging 22.900 Person th from Dec 2008 (Median) to 2017, with 10 observations. The data reached an all-time high of 30.200 Person th in 2008 and a record low of 19.100 Person th in 2017. Latvia Employment: NACE 2: Female: Annual: Agriculture, Forestry and Fishing data remains active status in CEIC and is reported by Central Statistical Bureau of Latvia. The data is categorized under Global Database’s Latvia – Table LV.G008: Labour Force Survey: Employment: by Industry: Statistical Classification of Economic Activities Revision 2.

Abstract

The main target of the FSS 2007 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.

Geographic coverage

National

Analysis unit

Farms

Universe

All economically active farms - farms, which produce agricultural production, were involved in the target population for the FSS 2007. 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.

Kind of data

Sample survey data [ssd]

Sampling procedure

The Latvian farm structure survey 2007 was made as combination of exhaustive enumeration and sample. All units were sampled in the part of sampling frame where exhaustive enumeration was done. Stratified simple random sampling was done in the sampling part of the frame. For more details see 3.3.2 of the Methodological Report available as external resources.. For each farm structure survey new sample is drawn. Procedure for sample selection is self-made using SPSS®. In 2007 total sample size comprised 58.0 thousand holdings.

Mode of data collection

Face-to-face [f2f]

Research instrument

The questionnaire form of FSS 2007 was developed in co-operation with the Ministry of Agriculture and other State institutions concerned. The list of characteristics included in the survey was compliant with EU requirements concerning the Farm Structure Survey 2007 (Commission Regulation (EC) No 204/2006 of February 6, 2006 adapting Council Regulation (EEC) No 571/88 and amending Commission Decision No 2000/115/EC with a view to the organization of Community surveys on the structure of agriculture holdings in 2007).

For all types of farms (private farms, state farms and statutory companies) Latvia has only one type of questionnaire form. The questionnaire form of FSS 2007 was developed in co-operation with the Ministry of Agriculture and other State institutions concerned.The questionnaire form was designed so that later it can easily be processed on scanners. The size of the questionnaire form is 8 pages. The following parts are included: · 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

Cleaning operations

Data Control of the FSS 2007 was carried out as follows: Manual Control: The first visual control of questionnaire forms was done in regional offices. Regional supervisory stuff and other staff in regional offices carried out a preliminary verification to see if the forms were filled in correctly and completely. Verification and Logical Control: For data entering scanners were used. After scanning the verification of the logical and arithmetical control was done in the CSB in accordance with specially developed verification programme. There were approximately 200 different logical and arithmetical controls. After interviewers or farmers were contacted by phone the re-addressing of errors was done. Due to the error shown by logical control program, if necessary, land users were contacted by phone in, e.g., to find out volume of sown areas, number of livestock, etc. thus needed information was obtained, and there non-response in such cases does not exist. Comparison of the FSS with other data sources: After logical control was finished, the FSS data were compared with information from Statistical Farm Register (information on holder (user) of farm, land areas belonging to farm and other), with information from other statistical surveys (previous livestock survey), with Animal Register information (Agricultural Data Centre) on June 1, 2007, and with the list of Organic farms received from Ministry of Agriculture and Integrated Administration an Control System – IACS (Rural Support Service)

Response rate

Details on non-response are available in section 3.4.5 of the Methodological Report available as external resources.

Sampling error estimates

Please see section 3.5.2 of the Methodological Report (available as external resources) for a detailed explanation procedure used to estimate sampling errors.

Data appraisal

Comparison of the FSS with other data sources: After logical control was finished, the FSS data were compared with information from Statistical Farm Register (information on holder (user) of farm, land areas belonging to farm and other), with information from other statistical surveys (previous livestock survey), with Animal Register information (Agricultural Data Centre) on June 1, 2007, and with the list of Organic farms received from Ministry of Agriculture and Integrated Administration an Control System - IACS (Rural Support Service).

International comparability Eurostat Statistical Office of the European Union (Eurostat) on its homepage published information on agriculture on EU-27 and on each country separately. Main indicators are available in section: Main tables/ Agriculture, forestry and fisheries/ Agriculture/ Structure of agricultural holdings. More detailed Farm Structure Data: Database/ Agriculture, forestry and fisheries/ Agriculture/ Structure of agricultural holdings. Eurostat has published reports on agriculture in EU countries on its webpage: Publications/ Collections/ Statistics in focus.

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.

Geographic 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. 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.

Kind of data

Sample survey data [ssd]

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.

Mode of data collection

Face-to-face [f2f]

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).

The study gives updated and policy-relevant information on living conditions in the three countries, with special focus on housing and residential environment, the labour market (unemployment, working conditions), and income. (Household roster) Topics: 1.) Housing conditions/residential environment 2.) Labour Force 3.) Economic self-assessment 4.) Income Demography 1.) Dwelling type; owner of dwelling; becoming owner of dwelling; quality of amenities; problems paying for rent or communal services; owing money for rent or communal services; number of rooms available to the household; dwelling space in square meters; damp/humid rooms and ability to keep home adequately warm; dwellings’ exposure to noise; exhausts from traffic/industry in vicinity of dwelling; respondents’ satisfaction with housing conditions; condition of dwelling; plans for removal to another dwelling; reasons for planning of removal to another dwelling; supply with consumer goods. 2.) Household members’ occupation last week; absence of occupation last week; reason for absence of occupation last week; actively seeking work; reasons for not seeking work; ways of seeking work; number of months seeking work; general availability for work; paid work in last 12 months; household members’ reason for stopping work; status in employment; full-time or part-time job; working hours at main job; additional jobs; working hours at additional jobs; seeking additional work. 3.) Capacity to get things that people sometimes cannot afford; economic situation of household; possibility to raise money for a sudden need; current economic situation compared with situation 5 years ago; assessment of future economic situation. 4.) Main contributor to household budget; wage income; self employment income non-agricultural; self employment income agricultural; non-government transfer income; government transfer income in total and income of pension, unemployment benefit, child benefit, social assistance and housing support; property income; other monetary income; total income; income of last calendar month is typical income; employment status of household (employee or self-employed); received benefits through employer or workplace; received in-kind support from relatives, friends, churches or charity organisations; household member owning/renting a farm; household living on farm; farming type of household; garden or land available for subsistence agriculture; household receives food from relatives or friends; household practices aspects of subsistence economy. Demography: Sex; age; relation of household members; ethnicity; citizenship; respondent applied for citizenship in a Baltic country; household type; type of child care; household expenditure on childcare; highest level of general education of household members; highest vocational education of household members; household members currently attending school/studying; reasons for not attending school.

就业：NACE第2版：年度：农业、林业和渔业在12-01-2017达61.400千人，相较于12-01-2016的68.700千人有所下降。就业：NACE第2版：年度：农业、林业和渔业数据按年更新，12-01-2008至12-01-2017期间平均值为72.600千人，共10份观测结果。该数据的历史最高值出现于12-01-2008，达83.900千人，而历史最低值则出现于12-01-2017，为61.400千人。CEIC提供的就业：NACE第2版：年度：农业、林业和渔业数据处于定期更新的状态，数据来源于Latvijas Statistika，数据归类于Global Database的拉脱维亚 – 表 LV.G008：劳动力调查：就业：按行业分类：经济活动统计分类修订版2。