2016 Road Traffic Accidents Data

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The table in question belongs to a dataset collection focusing on road traffic accidents in 2016. The data is meticulously structured, providing detailed insights into each accident event. The table houses a vast array of columns, each offering unique pieces of data related to the accident. Key information includes the date of data extraction and the row number, which together form a unique identifier for each row, allowing for precise data referencing. Additionally, the table provides a wealth of geospatial data, such as geographical points and centroids, which use the WGS 84 coordinate reference system for accurate global positioning. This information can be invaluable in geospatial data analytics, enabling the identification of accident hotspots, for instance. The table also contains data on the time of the accidents and various other details that can be analyzed for patterns and trends. All this data has been sourced from 'Tilastokeskus' website, a Finnish statistical institute, making it a reliable source for research and analytics. Potential use cases for this data could include examining the correlation between the time of day and the severity of accidents, or analyzing the geographical data to determine high-risk areas for road traffic accidents.

Field Descriptions

Name Data type Description
_extract_datedateThe date when the data on the row was extracted from the source.
_row_numberlongThe row number in the data extracted from the source on the extract date specified by the _extract_date column. The combination of _extract_date and _row_number uniquely identifies each row.
geom_geojsonstringA GeoJSON representation of the geographical point associated with the data row.
geom_geotextstringA textual representation of the geographical point associated with the data row.
geom_typestringThe type of the geographical data, which is a point in this case.
geom_centroidstringThe central point of the geographical data.
geom_center_xdoubleThe x-coordinate of the central point of the geographical data.
geom_center_ydoubleThe y-coordinate of the central point of the geographical data.
gml_idstringA unique identifier for the geographical data.
kellostringA string representing a time range.
kkonnlongAn integer value.
lkmhapalongAn integer value.
lkmjklongAn integer value.
lkmlakalongAn integer value.
lkmmolongAn integer value.
lkmmplongAn integer value.
lkmmuukulklongAn integer value.
lkmpplongAn integer value.
onntyyppistringA string value.
vakavstringA string value.
vvonnstringA string representing a year.
xdoubleA real number representing a geographical coordinate.
ydoubleA real number representing a geographical 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
Temporal coverage to
Countryfi
Databasefi_tilastokeskus
Extract date2024-11-11
Id64054ae1-89fb-4468-98e3-c474851b5676
Package id5e55d456-c899-4813-ad04-d526f53f5f65
Revision id2d4900a5-3f7e-42c7-afb4-476144bcc713
Stateactive
Tabletieliikenne_tieliikenne_2016__table