Road Traffic Accidents 2018 Data Table

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The table is part of a dataset collection that focuses on road traffic accidents in 2018. This valuable information resource, sourced from Statistics Finland ('Tilastokeskus'), provides in-depth insights into various aspects of road accidents. By analyzing the diverse range of data within the table, one could identify patterns and trends related to road safety, potentially informing traffic management strategies and safety measures.

The data is geospatial in nature, with several columns dedicated to geographic information. These geospatial details are presented using the WGS 84 coordinate reference system, with longitude followed by latitude. This information allows for a precise understanding of where each accident occurred, making the data particularly useful for geospatial analytics. For instance, these geospatial elements could be utilized to create visualizations of accident hotspots, informing traffic planning and road safety initiatives.

The table also includes specific columns that provide unique identifiers for each row of data. The '_extract_date' column indicates when the data was extracted from the source, while the '_row_number' column denotes the row number in the data extracted on that specific date. These two columns together uniquely identify each row, ensuring the data's integrity and consistency.

In addition to these, the table contains a plethora of other detailed attributes related to each accident, such as the type of accident, severity, and the number of different types of vehicles involved. These details could be instrumental in conducting a comprehensive analysis of road traffic accidents, understanding their causes and consequences, and ultimately working towards improving road safety.

Field Descriptions

Name Data type Description
_extract_datedateThis special column contains the date when the data on the row of the table was extracted from the data source.
_row_numberlongThis special column contains the row number in the data extracted from the source on the extract date specified by the column '_extract_date'. The combination of the columns '_extract_date' and '_row_number' uniquely identifies each row.
geom_geojsonstringThis column contains geometric data in GeoJSON format, representing specific geographic locations.
geom_geotextstringThis column contains textual geographic data, likely coordinates, corresponding to the GeoJSON data.
geom_typestringThis column specifies the type of the geometric data, such as point, line, or polygon.
geom_centroidstringThis column contains the geometric center or centroid of the geographic location.
geom_center_xdoubleThis column contains the X-coordinate of the geometric center of the geographic location.
geom_center_ydoubleThis column contains the Y-coordinate of the geometric center of the geographic location.
gml_idstringThis is a unique identifier for each record in the dataset.
kellostringThis column represents specific time ranges.
kkonnlongThis column contains integer values, the meaning of which is not specified by the source.
lkmhapalongThis column contains integer values, the meaning of which is not specified by the source.
lkmjklongThis column contains integer values, the meaning of which is not specified by the source.
lkmlakalongThis column contains integer values, the meaning of which is not specified by the source.
lkmmolongThis column contains integer values, the meaning of which is not specified by the source.
lkmmplongThis column contains integer values, the meaning of which is not specified by the source.
lkmmuukulklongThis column contains integer values, the meaning of which is not specified by the source.
lkmpplongThis column contains integer values, the meaning of which is not specified by the source.
onntyyppistringThis column contains integer values, the meaning of which is not specified by the source.
vakavstringThis column contains integer values, the meaning of which is not specified by the source.
vvonnstringThis column contains string values, likely representing a specific year.
xdoubleThis column contains real values, likely representing a specific geographic coordinate.
ydoubleThis column contains real values, likely representing a specific geographic coordinate.

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Additional Information

Last updated November 11, 2024
Created November 11, 2024
License No License Provided
Geographic coverage
Geographic granularity
Temporal coverage from
Temporal coverage to
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Countryfi
Databasefi_tilastokeskus
Extract date2024-11-11
Ide1d20e9f-ba5b-4c42-83d3-5562e04943d5
Package idfcaeafc9-e25b-46e3-8449-c0db2f6b9cdd
Revision id8741eeb2-1db4-4e17-81bc-1c4ea4eaa180
Stateactive
Tabletieliikenne_tieliikenne_2018__table