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For any question on data and metadata, please contact: Eurostat user support |
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1.1. Contact organisation | Statistics Lithuania |
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1.2. Contact organisation unit | Transport and Tourism statstics Division |
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1.5. Contact mail address | 29 Gedimino Ave., LT-01500 Vilnius, Lithuania |
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2.1. Metadata last certified | 25/03/2024 | ||
2.2. Metadata last posted | 27/06/2023 | ||
2.3. Metadata last update | 25/03/2024 |
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3.1. Data description | |||
The purpose of the survey on goods transport by goods road vehicles is to produce and publish statistical information on the amount of goods carried by road transport vehicles registered in Lithuania, vehicle-kilometres and tonne-kilometres by freight classification, the EU regions (NUTS 3 level) and countries of loading and unloading. The main statistical indicators: weight of goods transported, tonne-kilometres and vehicle-kilometres of goods road vehicles. |
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3.2. Classification system | |||
Statistics on carriage of goods by road apply the following statistical classifications:
The optional variable type of cargo follows the Classification of Cargo Types of UNECE (United Nations, Economic Commission for Europe - codes for types of cargo, packages and packaging materials, Recommendation 21 adopted by the Working Party on Facilitation of International Trade Procedures, Geneva, March 1986). |
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3.3. Coverage - sector | |||
Transport by road goods vehicles registered in Lithuania, except for transport by agricultural, military vehicles and vehicles owned by the central or local government and public postal and railway companies. |
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3.4. Statistical concepts and definitions | |||
The main concepts used in Road freight statistics are the following, more details can be found in the Road freight transport methodology manual : A goods road motor vehicle is any single road transport vehicle (lorry), or combination of road vehicles, namely road train (lorry with trailer) or articulated vehicle (road tractor with semi-trailer), designed to carry goods
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3.5. Statistical unit | |||
Goods vehicles registered in the Register of Road Vehicles of the Republic of Lithuania. |
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3.6. Statistical population | |||
Goods transport by road by goods vehicles registered in Lithuania, except for transport by agricultural, military vehicles and vehicles owned by the central or local government and public postal and railway companies. |
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3.7. Reference area | |||
All goods transport within and outside Lithuania by goods vehicles registered in Lithuania. |
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3.8. Coverage - Time | |||
Since 1995. |
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3.9. Base period | |||
Not applicable |
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Data are collected in tonnes, tonne-kilometres, vehicle-kilometres. |
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The road data are collected on a quarterly basis and are reported to Eurostat five months after the end of the reference period. |
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6.1. Institutional Mandate - legal acts and other agreements | |||
European level: |
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6.2. Institutional Mandate - data sharing | |||
From Eurostat : Eurostat submits annually semi-aggregated data (data exchange tables, see Commission Regulation (EU) No 202/2010 amending the Commission Regulation (EC) 6/2003) back to the reporting countries so that they can compile the total road freight transport on their national territories, including the operations by national hauliers and also those of all other reporting countries. These data exchange tables include more detailed breakdowns than the publicly available tables. They also include, for each value, the information on the number of observations that the estimates are based on. In this way, the reporting countries can estimate the reliability of results that they aggregate from the data exchange tables. |
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7.1. Confidentiality - policy | |||
National level:
European level:
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7.2. Confidentiality - data treatment | |||
Description of Statistical Disclosure Control Methods, approved by Order No DĮ-29 of 19 January 2024 of the Director General of Statistics Lithuania. The State Data Governance Information System Data Security Regulations and Rules for the Secure Management of Electronic Information in the State Data Governance Information System, approved by Order No DĮ-202 of 27 August 2021 of the Director General of Statistics Lithuania. |
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8.1. Release calendar | |||
Statistical information is published on the Official Statistics Portal according to the Official Statistics Calendar. |
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8.2. Release calendar access | |||
8.3. Release policy - user access | |||
Statistical information is prepared and disseminated under the principle of impartiality and objectivity, i.e. in a systematic, reliable and unbiased manner, following professional and ethical standards (the European Statistics Code of Practice), and the policies and practices followed are transparent to users and survey respondents. All users have equal access to statistical information. All statistical information is published at the same time – at 9 a.m. on the day of publication of statistical information as indicated in the calendar on the Official Statistics Portal. Relevant statistical information is sent automatically to news subscribers. The President and Prime Minister of the Republic of Lithuania, their advisers, the Ministers of Finance, Economy and Innovation, as well as Social Security and Labour or their authorized persons, as well as, in exceptional cases, external experts and researchers have the right to receive early statistical information. The specified persons are entitled to receive statistical reports on GDP, inflation, employment and unemployment and other particularly relevant statistical reports one day prior to the publication of this statistical information on the Official Statistics Portal. Before exercising the right of early receipt of statistical information, a person shall sign an undertaking not to disseminate the statistical information received before it has been officially published. Statistical information is published following the Official Statistics Dissemination Policy Guidelines and Statistical Information Dissemination and Communication Rules of Statistics Lithuania approved by Order No DĮ-176 of 2 July 2021 of the Director General of Statistics Lithuania. |
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Quarterly, annual |
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10.1. Dissemination format - News release | |||
A news release is published not later than on the 82nd calendar day after the end of the reference quarter. |
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10.2. Dissemination format - Publications | |||
Statistical information is released in publication Regions of Lithuania and Lithuania in figures. |
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10.3. Dissemination format - online database | |||
The statistics are published in the Database of Indicators (Transport and communications -> Road transport -> Indicators of goods transport by road). The Indicators Database page is for viewing and analyzing statistical information. For more information on the Indicators Database, see the Indicators Database User Guide. |
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10.4. Dissemination format - microdata access | |||
Statistics Lithuania may, on the basis of contracts concluded with higher education institutions or research institutes, provide statistical data to researchers of these higher education institutions and research institutes to carry out specific statistical analyses for research purposes. Statistical data are provided in accordance with the provisions specified in the Description of Procedure for Data Depersonalisation and Pseudonymisation (only in Lithuanian). More information is available on the Official Statistics Portal, in the section Data Provision. |
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10.5. Dissemination format - other | |||
Statistical information is published in the Eurostat database, provided to the Organization for Economic Co-operation and Development (OECD), international organizations, published on social networks, in video messages.Statistical information is published in the Eurostat database, provided to the Organization for Economic Co-operation and Development (OECD), international organizations, published on social networks, in video messages. Statistical information can also be provided upon individual requests (more information on the Official Statistics Portal, in section Services). |
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10.6. Documentation on methodology | |||
Methodological documents are published in the Road Transport section of the Official Statistics Portal. |
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10.7. Quality management - documentation | |||
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11.1. Quality assurance | |||
The quality of statistical information and its production process is ensured by the provisions of the European Statistics Code of Practice and ESS Quality Assurance Framework. In 2007, a quality management system, conforming to the requirements of the international quality management system standard ISO 9001, was introduced at Statistics Lithuania. The main trends in activity of Statistics Lithuania aimed at quality management and continuous development in the institution are established in the Quality Policy. Monitoring of the quality indicators of statistical processes and their results and self-evaluation of statistical survey managers is regularly carried out in order to identify the areas which need improvement and to promptly eliminate the shortcomings. |
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11.2. Quality management - assessment | |||
Data quality is in line with the accuracy, timeliness and punctuality, comparability and compatibility requirements. Before presenting the results for users, additional quality control of statistical data at the macro level is performed. Statistical indicator estimates are compared with the previous period’s estimates. |
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12.1. Relevance - User Needs | |||
The main users of statistical information are State and municipal authorities and agencies, international organisations, the media, research and business communities, students, whose needs are satisfied without a breach of the confidentiality principle. |
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12.2. Relevance - User Satisfaction | |||
Since 2005, user opinion surveys have been conducted on a regular basis. Official Statistics Portal traffic is monitored, website visitor opinion polls, general opinion poll on the products and services of Statistics Lithuania, target user group opinion polls and other surveys are conducted. In 2007, the compilation of a user satisfaction index was launched. The said surveys are aimed at the assessment of the overall demand for and necessity of statistical information in general and specific statistical indicators in particular. More information on user opinion surveys and results thereof are published in the User Surveys section on the Statistics Lithuania website. |
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12.3. Completeness | |||
All indicators established by the legislation are published. |
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13.1. Accuracy - overall | ||||||||||||||||||||||||||||||
The survey is carried out using a sampling method. The sampling list covers transport vehicles registered in the Register of Road Motor Vehicles of the Republic of Lithuania.The sample size per quarter is 3900 goods road vehicles, the survey sample per week - 300 goods road vehicles. When calculating the estimates, statistical data are analysed by estimating outliers; data are edited. The coefficient of variation (relative standard error), used as the main measure of the accuracy of estimate, does not exceed 3 per cent. |
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13.2. Sampling error | ||||||||||||||||||||||||||||||
Coefficient of variation, %:
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13.3. Non-sampling error | ||||||||||||||||||||||||||||||
Errors not related to the sample are not counted. |
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14.1. Timeliness | |||
Statistical information is published not later than on the 56nd day after the end of the reference quarter. |
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14.2. Punctuality | |||
Statistical information is published in accordance with an Official Statistics Calendar. In case of delay, users are notified in advance by indicating the reason and a new date of publication. Road freight data are transmitted to Eurostat within 5 months after the end of the reference period, as specified in the Regulation (EU) 70//2012. |
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15.1. Comparability - geographical | |||
Statistical information is comparable across the EU. |
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15.2. Comparability - over time | |||
Carriage of goods by road transport – since 1995. Data are comparable and comply with the requirements provided in Regulation (EU) No 70/2012 of the European Parliament and of the Council, applied to the main indicators starting from 2000. |
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15.3. Coherence - cross domain | |||
Not applicable |
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15.4. Coherence - internal | |||
Quarterly and annual statistics are coherent. |
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In 2022, the average time spent by respondents to complete the statistical report on the carriage of goods by road – 48 minutes. Compared to the 2021 year, the statistical reporting burden has increased |
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17.1. Data revision - policy | |||
The revision policy applied by Statistics Lithuania is described in the Description of Procedure for Performance, Analysis and Publication of Revisions of Statistical Information. |
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17.2. Data revision - practice | |||
The results published are final and not revised later. |
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18.1. Source data | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Source of statistical information – statistical survey on road goods transport. |
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18.2. Frequency of data collection | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Weekly. |
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18.3. Data collection | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Sampling methodology
Statistical unit: Tractive vehicle Types of units excluded:
Goods road vehicle which are not covered by survey:
For vehicles less than 6 tonnes maximum permissible weight, estimations are carried out for the vehicle kilometres. Time unit: 1 week Time units of quarter 1 of 2023 included in the survey: All (13 weeks) Stratification: The sample for one quarter is obtained using a sample in each stratum. All goods transport vehicles are distributed in 15 strata. Road goods vehicles are distributed in the following way:
Recording of weight of goods: Gross weight of goods is collected, i.e. containers swap bodies and pallets are excluded. Recording of journey data sent to Eurostat: Single stop and multi stop: Only the commodity with highest weight is taken into account. Other variables: Currently only 5 countries are reported as countries crossed in transit (variable A2.7) as this is the maximum limit, although Lithuanian trucks can cross more than 5 transit countries. Lithuania may identify more than five transit countries. Calculation of weighting factors: Weighting factor=13*N/(S+S’) N= number of vehicles in the register (in a stratum) S= number of questionnaires used in analysis (in A1 dataset) S’= number of vehicles for which no activity was recorded, but vehicles could be considered as active (holiday, no work, etc.), sold, scrapped, leased, with load capacity too low.
Additional (optional) variables collected compared to the legal requirements:
A1. Vehicle-related variables:
A2. Journey-related variables:
A3. Goods-related variables:
Environmental impact-related variables:
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18.4. Data validation | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
National level : To ensure the quality of the statistics, the statistics are checked and validated. The logical relationship between the values is checked, the arithmetic errors and the omitted values are searched. In case of significant deviations, the reasons for them are explained to the respondents, if necessary. Errors in statistics are corrected.
From Eurostat : Since 1999, micro-data from the reporting countries have to be submitted according to Commission Regulation 2163/2001. The data are then checked and validated by EUROSTAT (verification of many different codes used (NUTS 3, numeric or alphabetic variables) correctness of linked questionnaires in the different dataset, etc…). Detected errors are then reported back to the data sender with the request for correction, this is an iterative process until at least 99.5% of all data records are validated and loaded in the database. |
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18.5. Data compilation | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
The survey is carried out using a sampling method. The sampling design is a stratified sample with a simple random sample in strata. The distribution of the population is random. To determine the sample size in strata, the optimal (Neyman) allocation is applied. The main data source – statistical survey on goods transport by road. Data are checked for completeness and reliability. Primary database check is performed (re-editing, statistical data validation). The results received are analysed: compared with the corresponding period of the previous year; to detect outliers in the strata, a quartile method is used. In case of significant deviations, the reasons thereof are determined. If necessary, respondents are contacted. If errors are detected, they are corrected. When the results are considered acceptable, the indicator estimates are calculated: the Horvitz–Thompson population total estimator is applied. The relative standard error (coefficient of variation) of each estimator is calculated. Statistical survey on goods transport by road methodology (only in Lithuanian) |
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18.6. Adjustment | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
The influence of the season and the number of working days on the statistics on the carriage of goods by road is not assessed. |
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