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For any question on data and metadata, please contact: Eurostat user support |
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1.1. Contact organisation | SURS (Statistical Office of the Republic of Slovenia) |
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1.2. Contact organisation unit | Transport, tourism and information society statistics section |
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1.5. Contact mail address |
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2.1. Metadata last certified | 29/06/2023 | ||
2.2. Metadata last posted | 29/06/2023 | ||
2.3. Metadata last update | 29/06/2023 |
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3.1. Data description | |||
Road freight data collection consists of three datasets with quarterly periodicity: |
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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 | |||
Commercial road freight transport (National Classification of Activities), referred to as "Hire or reward" road freight transport. Road freight transport by private vehicles and by vehicles owned by companies classified in other classes. This kind of transport is identified as "own account" road freight in order to satisfy production or service needs within the framework of business activities. |
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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 | |||
The observation unit for road freight transport statistics is a goods road transport vehicle and its reporting unit is the local unit (a company, as identified in the national business register). |
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3.6. Statistical population | |||
As the total number of statistical units (most commonly vehicles) is very large, sample surveys are carried out to collect information. |
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3.7. Reference area | |||
The data provided are goods vehicles registered in the declaring country uniquely, reporting national and international journeys (EU, non-EU). |
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3.8. Coverage - Time | |||
Data are available in time series since 2001 onwards. |
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3.9. Base period | |||
Not applicable. |
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Data are collected in tonnes, tonne-kilometres, vehicle-kilometres and in number of journeys (journey data) or in number of basic transport operations (BTO - goods related data). |
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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 | |||
National level: European level: |
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6.2. Institutional Mandate - data sharing | |||
National level :
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 publicaly 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 | |||
All SURS employees are obliged to protect the content of personal and individual data and data on reporting units which they learn during their work as official secrecy. All employees sign a statement of data protection and thus confirm that they are informed about the issue. The obligation to protect the official secrecy continues after the termination of employment. In line with the National Statistics Act (ZDSta) the statistical purpose is providing and disseminating aggregate data on mass phenomena. The ZDSta also stipulates that the data can be used exclusively for statistical purposes, i.e. for disseminating aggregate data, unless otherwise provided by law. On the basis of an application written by a user, individual data can be transmitted, but only in the form and way which does not enable the identification of the unit to which the data refer. The data that enable the identification of the unit to which they refer can only be transmitted to those units to which the data refer or if these units sent the data. SURS can publish the data only in aggregate form, so that it is not possible to identify the unit to which the data refer. The data must be available in the same way (at the same time and under the same conditions) to all users. Only exceptionally can SURS publish individual data: upon written consent of the reporting unit to which the data refer that they agree with the publication of data in such a way or if the data are collected from public (generally accessible) data collections (records, registers, databases, etc.). More information about statistical confidentiality and on personal data protection is available at the SURS' website. |
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8.1. Release calendar | |||
SURS provides the data users with annual data release calendar available online at https://www.stat.si/StatWeb/en/ReleaseCal?idp=22 |
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8.2. Release calendar access | |||
8.3. Release policy - user access | |||
Data are dissaminated with first press release via official website and detailed data in the SiStat database (quarterly). Data are relased to the public - all users at the same time. |
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Data are disseminated quarterly (each quarter) and once a year an annual release. |
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10.1. Dissemination format - News release | |||
There are four regular quarterly news releases (first release) on the SURS website linked to the data in the SiStat database. |
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10.2. Dissemination format - Publications | |||
Some of the data are disseminated in an annual publication Stat'o'book – Statistical Overview of Slovenia. |
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10.3. Dissemination format - online database | |||
The on-line database (SiStat) in transport domain (road goods transport) covers 17 agregated tables with quarterly and annual data from 2001 onwards. |
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10.4. Dissemination format - microdata access | |||
Interested data users (mostly researches) can apply for access to microdata, either in the data safe room on the premises or via granted safe access online. All personal identification data are removed prior to given access to micro data. |
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10.5. Dissemination format - other | |||
No other publication. |
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10.6. Documentation on methodology | |||
National characteristics of surveys, conducted in the reporting countries in 2019, were published in Methodologies used in surveys of road freight transport in Member States, EFTA and Candidate Countries (2021 edition). This latter publication also contains data on response rates, vehicle registers' quality, sampling rates and statistical errors in surveys carried out in 2018 and 2019. National methodological explanantions are available on the official website. |
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10.7. Quality management - documentation | |||
The Statistical Office of the Republic of Slovenia operates on the basis of the National Statistics Act and Regulation (EC) No. 223/2009 on European statistics; in performing its tasks it follows the general principles of quality management, the European Statistics Code of Practice and the Fundamental Principles of Official Statistics.
More information is available on the SURS website under Quality in national statistics https://www.stat.si/statweb/en/FundamentalPrinciples/QualityInStat
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11.1. Quality assurance | |||
The Statistical Office of the Republic of Slovenia (SURS) operates on the basis of the National Statistics Act and Regulation (EC) No. 223/2009 on European statistics. In performing its tasks it follows the general principles of quality management, the European Statistics Code of practice and Quality Assurance Framework of the European Statistical System. Also taking into account the following principles: professional independence, process orientation, quality of products and services, planning of improvements, stimulating working environment for employees, data providers-friendly official statistics, user-oriented official statistics. The principles in more detail are presented in the Quality Statement of the Statistical Office of the Republic of Slovenia.
In the framework of Statistical Office of the Republic of Slovenia quality approach, Statistical Office has introduced standard quality reports (standard-documentation) to be produced and kept up-to-date for all statistics. The reports are based on the ESS definition of quality in statistics and follow the European standard quality report and provide users with information about the underlying concepts, definitions, methods used and the quality of the statistics (meta-information) in a standardised format.
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11.2. Quality management - assessment | |||
To assure a high response rate, SURS emphasises the importance of filling out the questionnaire with a information letter, also sending out two remainders.
A set of validation rules and quality checks are put in place, which detect various types of issues. In case of any issues detected, the data providers are contacted to provide explanations or/and revise the data accordingly.
Standard methods and definitions of quality (standard error, response rate, quality of vehicle register) are used in the survey.
In 2023/2024 there is a plan to improve the data reporting on intermodal road transport (TEU units) by providing more datailed information for respondents and possibly ataching a detailed intermodal data collection sheet to the regular questionnaire.
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12.1. Relevance - User Needs | |||
The main users are journalists, students, and for microdata analyses researches from Universities and science institutes. |
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12.2. Relevance - User Satisfaction | |||
No special user satisfaction data are collected. |
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12.3. Completeness | |||
The data collection on road transport statistics follows the provisions of Regulation 70/2012. All variables are provided, also the voluntary ones. |
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13.1. Accuracy - overall | |||
Overall accuracy of the road transport statistics data is good. The processing with plausibility checks as well as checks done before transmitting data to Eurostat provides a high accuracy of the data providing comparable, regular, coordinated, reliable and complete information on road freight transport. The accuracy requirements concerning the percentage standard deviation are set at not higher than +/- 5% (reliability interval 95%). For Slovenia, these requirements have always been fulfilled. |
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13.2. Sampling error | |||
Datails on sampling are covered in domain 18.3 |
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13.3. Non-sampling error | |||
The road freight transport statistics is a statistical survey where data providers (source) are the owners and users of the (selected) vehicles. The respondents are also motivated via telephone to provide high quality data on time.
Unit non-response is the failure of a survey to collect data on all survey variables from all the population units in a sample, including non-response, late response or refusal. Non-response weights are adapted.
During the processing stage, incorrect use of planned methods of processing may occur, especially concerning the coding of response data provided in free text format. Visual check and comparison with other data sources may help to minimise errors.
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14.1. Timeliness | |||
Data are normally updated once per quarter. If new annual data (all four quarters of a calendar year) have become available, the annual datasets are also updated together with the quarterly datasets. |
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14.2. Punctuality | |||
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 | |||
All data are comparable between countries and regions. |
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15.2. Comparability - over time | |||
Comparable time series are compiled and disseminated since 2001. |
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15.3. Coherence - cross domain | |||
Road freight transport statistics data are difficult to compare with statistics of other transport modes or statistical domains due to the nationality principle used for road freight transport statistics and the territory principle used for the other transport modes. Also there is a difference by using a sampling method vs. a full survey. |
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15.4. Coherence - internal | |||
All statistics are coherent within the three datasets. |
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The response burden is put on the units chosen to report for their vehicles (vehicle based survey), whereas they do not have to report for all their vehicles (teritorial and enterprise sample). In the sample survey there are about 8,300 vehicles per year, reporting time for required information is not recorded.
Throughout the implementation of the survey, SURS pays attention to the costs of the survey and maintaining the quality of the data.
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17.1. Data revision - policy | |||
Data are final with quarterly release. Regular revisions are not planned.
Deadline for the publication of quarterly results of road freight data is 105 days following the end of the quarter.
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17.2. Data revision - practice | |||
Regular revisions are not planned for the road freight transport statistics. |
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18.1. Source data | |||
Sampling register used for the surveyName of register: Central Register of Vehicles and Traffic Documents Name of organisation who maintains the register: Ministry of Infrastructure Frequency of update: Monthly Frequency of access to draw the samples: Quarterly Arrangements for accessing the register: Bilateral institutional agreement by the Statistical Office of the Republic of Slovenia and the Ministry of Infrastructure and Spatial Planning. The replication of the statistical version of the Central Register of Vehicles and Traffic Documents at the Ministry of Infrastructure and Spatial Planning is made on the last day of every month. Before each quarterly sampling, the Central Register of Vehicles and Traffic Documents is matched with the Business Register of Slovenia to obtain information on activity and address for owners and users of vehicle. Information obtained from the register: Central Register of Vehicles and Traffic Documents: identification of the owner/user, type of owner, registration number, type of vehicle, type of body, unladen weight, maximum permissible laden weight, year of manufacture, number of axles, date of first registration, date of first registration in Slovenia, type of fuel used. Used in stratification:
Business Register: main activity of the operator, name of the owner/user, address of the owner/user. Procedure for reminders: First reminder – two weeks following the observation period Second reminder - four weeks following the observation period |
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18.2. Frequency of data collection | |||
Data collection is carried out quarterly (Q1-Q4). |
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18.3. Data collection | |||
Sampling methodologyStatistical unit: Tractive vehicle Types of units excluded: Agricultural vehicles, military vehicles, public service vehicles, special purpose vehicles and vehicles belonging to users that could not be matched with the business register. Vehicles with load capacity below 2 tonnes. Time unit: One week Time units of quarter 1 of 2022 included in the survey: All (13 weeks) Stratification: Strata were defined with the type of ownership (2 classes: legal entities, natural persons) and loading capacity (4 classes: 2.00 - 4.99, 5.00 - 9.99, 10.00 and more tonnes, road tractors). The allocation of units among the strata is proportional with slight corrections due to fact that the sample size in each stratum should be divisible by 13 (weeks in a quarter). Recording of weight of goods: Gross weight of goods is collected; containers and swap bodies are excluded, but pallets might be included. Recording of journey data sent to Eurostat: Single stop: In case of more than one type of goods in the same journey, the main type of goods carried is used for the classification of goods. However, total weight of all goods is recorded. Multi stop: In case of more than one type of goods in the same journey, the main type of goods carried is used for the classification of goods. However, total weight of all goods is recorded. Dataset A3 is set up with the assumption that goods loaded first are unloaded first (FIFO). Collection/delivery: In case of more than one type of goods in the same journey, the main type of goods carried is used for the classification of goods. However, total weight of all goods is recorded. Origin is the first place of loading or the first place from where the empty vehicle is set out to pick up goods. Destination is the furthest town in a circular journey. Empty kilometres are not recorded in A3 or A2; however, they are included in A1_8_2. In case of collection/delivery in international journey, type 2 or simplified type 1 journey is used. Tonne-kilometres for type 3 journeys are calculated as follows: n stops number DL distance travelled loaded WL weight of goods loaded WC weight of goods collected Other variables: In case of usage of more than one trailer in the surveyed week, only information on the trailer used in majority of cases is collected. Calculation of weighting factors: Weights for each stratum are calculated as follows. Weights due to non-response: Weights due to sample selection: Eligible units are units that respond to the questionnaire regardless of the activity of the vehicle (also inactive: no work, holiday, etc..).. Ineligible units are units beyond the target population that were included in the sample. These include cases were the capacity of the vehicle was below 2 tonnes or the vehicle was temporarily or permanently withdrawn from the Register. Vehicles with unknown addresses and other mistakes in the register, sold, leased or subcontracted vehicles and vehicles whose respondents refused to answer or dispatched unusable questionnaires are treated as non-response. Additional (optional) variables collected compared to the legal requirements: Environmental impact related variables: Type of fuel used, and quantity of fuel purchased. A1. Vehicle-related variables:
A2. Journey-related variables:
A3. Goods-related variables:
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18.4. Data validation | |||
National level :
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 | |||
Data compilation process includes data editing, weighting and adjustment for non-response. |
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18.6. Adjustment | |||
National road freight data are not seasonally adjusted. |
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No comments. |
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