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Valstybės duomenų agentūra

The goal of this statistical survey is to prepare and publish statistical information about foreigners inbound to Lithuania, their trips and trip length, modes of transportation used, types of accommodation and travel expenses. Survey consists of samples collected quarterly. The surveys are carried out for 7 days in each quarter. Foreign visitors (15 years or older) are interviewed at border control points, transport stations and hotels. The survey follows protocol TUR-04 (see https://apklausos.stat.gov.lt/statistines-anketos). Survey includes tourists and other travelers, except those who have stayed in Lithuania for more than 12 months. The data is presented here in two tables, separated into day trips and trips without an overnight stay.

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Valstybės duomenų agentūra

Lithuania's COVID-19 data. Updated daily.

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Valstybės duomenų agentūra

Number of employees according to October The purpose of preparing statistics on the amount of wages is to provide users with statistical information on the distribution of employees and changes according to groups of the amount of gross wages. Statistical information is relevant when making labor and social security and economic decisions.

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Valstybės duomenų agentūra

The classification of economic activities (NACE Rev. 2) is based on the classification “Nomenclatures des Activities de Communite Europeene” prepared by the Statistical Office of the European Union (EUROSTAT) - NACE rev. 2 (Statistical Classification of Economic Activities in the European Community - NACE Rev. 2). EVRK2 red. determines the areas of activity, codes, names of individual categories, ie sections, divisions, groups, classes, for all member states of the European Union.

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Valstybės duomenų agentūra

The aim of the survey – to produce and publish statistical information on employment, based on population survey data; to estimate the number of employed and unemployed persons, their distribution by age, sex, place of residence, economic activity, major occupational group, education, activity, employment and unemployment rates. The survey is conducted using a sampling method. Every quarter, approximately 0.5 per cent of the population aged 15 and older are interviewed; the results are recalculated for the total population.

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Valstybės duomenų agentūra

The purpose of the survey is to assess the availability of computers and Internet access in households, frequency and purposes of Internet usage, use of mobile devices, e-commerce and e-governance usage, digital skills, IT security and trust, the impact and challenges of IT use. The survey population is all private households in Lithuania with at least one member aged 16–74 and permanent residents of Lithuania aged 16–74. Individuals living in institutional households (care homes, families, prisons, monasteries) are not surveyed.

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Valstybės duomenų agentūra

In the system of national accounts, economic units that dispose of their own assets and incur liabilities in their own name by being economically active and transacting with other economic units are called institutional units. Institutional units are grouped into institutional sectors and subsectors. Institutional sector - groups of institutional units with similar economic behaviour. Institutional units are grouped into sectors according to their main activity and purpose. The following five institutional sectors are distinguished: non-financial (entities whose main activity is the sale of goods or provision of services), finance (banks, credit unions, insurance companies), general government (general government and budgetary institutions), households (sole proprietorships/individual enterprises, partnerships), non-profit institutions serving households (private non-profit organisations).

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Valstybės duomenų agentūra

Open data on all legal entities registered in the Register of Legal Entities (VĮ Registruu centras), performing economic activity and not performing it, with and without employees and/or income, including information of deregistered legal entities from the Register of Statistical Economic Entities.

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Valstybės duomenų agentūra

At the 70th session of the United Nations in 2015 September 25 the General Assembly resolution "Transforming our world: The 2030 Agenda for Sustainable Development" was adopted. One of the indicators of sustainable development prepared at the detailed level of 1 km grids: 9.1.1. Share of the rural population living within a 2 km radius of a year-round road.

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Valstybės duomenų agentūra

Geospatial data of the results of the General Population and Housing Census of the Republic of Lithuania for 2011, 2021 and 2020 are presented. Results of a pilot census conducted in The census was conducted on the basis of administrative data, using data from the main state registers and information systems (Register of Residents of the Republic of Lithuania, Register of Real Estate, Register of Addresses, SODRA Database, etc.). The geospatial data of the results of the pilot population census of the Republic of Lithuania in 2020 were obtained by summarizing the data from administrative sources and localizing them in the territory.

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Valstybės duomenų agentūra

Based on the Agricultural Census of the Republic of Lithuania 2010, point geospatial data of counties, residential areas, municipalities and elderships are presented. The census is conducted every 10 years.

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Valstybės duomenų agentūra

[Please pay a very close attention to the section "IMPORTANT NOTES"'] DATA SOURCE: Data from Lithuania's centralised health register "eSveikata" (ESPBI IS): digital medical death certificates (Form E106), which the Centre of Registers daily provides to the State Data Governance Information System (SDG IS) of the State Data Agency. SAMPLE, SCOPE, UPDATE: Persons who have died of any cause and whose death is documented on a digital medical death certificate (Form E106) in the eSveikata system. Only the persons with a valid Lithuanian personal identification number (according to the structure and check digit) on the death certificate are covered here. Deaths occurring between 1 January 2018 and the seventh day before the table update date are presented. The data is updated weekly. TABLE STRUCTURE: The table is aggregated on five attributes: year of death, month of death, age group of the deceased, sex, unrevised main cause of death (ICD-10-AM diagnosis code, shortened to the first 3 symbols). Each row is therefore a unique combination of these five attributes. The last column (number of deaths) is never equal to 0, i.e. if in a specific year, in a specific month, in a specific age and sex group, no person died from a specific cause, this row is simply not included in the table. CAUSES OF DEATH: Unrevised ICD-10-AM code entered by the doctor in the main cause of death section of the medical death certificate. Codes are shortened to first 3 symbols. CONTACTS: State Data Governance team: vdv@stat.gov.lt. IMPORTANT NOTES: [1] These are not official statistics on the causes of death produced by the Institute of Hygiene. In this table, the causes of death are unrevised, i.e. are as entered by the health professional into the medical death certificate. In official statistics, these entries would be revised and recoded in the State Register of Deaths and Causes of Death and the primary cause of death is determined in accordance with the international rules of the World Health Organisation (WHO). For more information on the concepts 'primary cause of death', 'intermediate cause of death' and 'immediate cause of death', see here: https://hi.lt/uploads/pdf/padaliniai/MPR/MML_rekomendacijos.pdf. [2] In rare cases, data can be retrospectively updated (e.g. due to expert examination by the State Forensic Medicine Service). [3] These data do not include perinatal deaths (medical certificates of perinatal death, Form E106-2-1). [4] These data will differ from the more accurate death records kept by the Institute of Hygiene: The Institute of Hygiene additionally collects non-digital (i.e., paper) medical death certificates (they could make up around 1% of total deaths); however, this table includes only digital medical death certificates. [5] These data will slightly differ from the official mortality statistics compiled by the State Data Agency, where only the resident population is included and the actual date of death is not used (the date on which the death was reported is used); however, in this table, the scope may cover deaths of non-Lithuanian citizens or persons who are not permanent residents of Lithuania who died in the territory of the Republic of Lithuania, and the actual date of death is used. [6] The data also exclude the deaths of persons who did not have a valid Lithuanian personal identification number on their medical death certificate.

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Valstybės duomenų agentūra

[Please pay a very close attention to the section "IMPORTANT NOTES"'] DATA SOURCE: Data from Lithuania's centralised health register "eSveikata" (ESPBI IS): digital medical death certificates (Form E106), which the Centre of Registers daily provides to the State Data Governance Information System (SDG IS) of the State Data Agency. SAMPLE, SCOPE, UPDATE: Persons who have died of any cause and whose death is documented on a digital medical death certificate (Form E106) in the eSveikata system. Only the persons with a valid Lithuanian personal identification number (according to the structure and check digit) on the death certificate are covered here. Deaths occurring between 1 January 2018 and the seventh day before the table update date are presented. The data is updated weekly. TABLE STRUCTURE: The table is aggregated on three attributes: date of death, age group of the deceased, sex. Each row is therefore a unique combination of these three attributes. The last column (number of deaths) is never equal to 0, i.e. if on a specific date, in a specific age and sex group, no person died from a specific cause, this row is simply not included in the table. CONTACTS: State Data Governance team: vdv@stat.gov.lt. IMPORTANT NOTES: [1] These are not official statistics on the causes (and counts) of death produced by the Institute of Hygiene. [2] In rare cases, data can be retrospectively updated (e.g. due to expert examination by the State Forensic Medicine Service). [3] These data do not include perinatal deaths (medical certificates of perinatal death, Form E106-2-1). [4] These data will differ from the more accurate death records kept by the Institute of Hygiene: The Institute of Hygiene additionally collects non-digital (i.e., paper) medical death certificates (they could make up around 1% of total deaths); however, this table includes only digital medical death certificates. [5] These data will slightly differ from the official mortality statistics compiled by the State Data Agency, where only the resident population is included and the actual date of death is not used (the date on which the death was reported is used); however, in this table, the scope may cover deaths of non-Lithuanian citizens or persons who are not permanent residents of Lithuania who died in the territory of the Republic of Lithuania, and the actual date of death is used. [6] The data also exclude the deaths of persons who did not have a valid Lithuanian personal identification number on their medical death certificate.

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Valstybės duomenų agentūra

The forest condition survey data, prepared according to the data of the project "Experimental Ecosystem Volume and Forest Condition Account", at the level of municipalities. The data is linked to the second stage of the experimental ecosystem statistics project - the basic data set of forest indicators according to the groups and classes of indicators of the state of ecosystems. The indicators are calculated and presented according to the relevant spatial units at the beginning of the period, around 2000. (denoted by the letter 'x') and at the end - 2021.

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Valstybės duomenų agentūra

Annual household budget survey. * Consumption expenditure in 2008 recalculated to compare with 2012 ** Consumption expenditure in 2008 recalculated to compare with 2012

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Valstybės duomenų agentūra

The aim of the survey is to compile comparable statistical information with other European Union (EU) countries on gross and disposable income of the household, housing conditions, physical and social environment of the household, ability to meet certain needs, employment of household members over the age of 16, health status and problems and access to health care, and to assess indicators of at-risk-of-poverty and material deprivation and social exclusion.

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Valstybės duomenų agentūra

A stable territorial unit is used in Lithuania to publish statistical information. The lattice network is drawn up in the LKS-94 Lithuanian state coordinate system. The dataset contains rectangular 1x1 km and hexagonal 1 km grids

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