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Do Motorisation Statistics Reflect the Real Geography of Car Ownership in Poland?1 Cover

Do Motorisation Statistics Reflect the Real Geography of Car Ownership in Poland?1

Open Access
|Jun 2022

Figures & Tables

Fig. 1

Impact of the shortcomings of motorisation statistics and their causes on the number of passenger cars registered in a given territorial unit.AC – autocasco comprehensive insurance, OC – liability car insurance.Source: own study.
Impact of the shortcomings of motorisation statistics and their causes on the number of passenger cars registered in a given territorial unit.AC – autocasco comprehensive insurance, OC – liability car insurance.Source: own study.

Fig. 2

End-of-life vehicles by their years of production and first registration in Poland (as at 31 December 2018).Source: authors’ own elaboration based on CEP data.
End-of-life vehicles by their years of production and first registration in Poland (as at 31 December 2018).Source: authors’ own elaboration based on CEP data.

Fig. 3

Spatial distribution of end-of-life cars in Polish districts (as at 31 December 2018), in line with the country’s former administrative division into 49 provinces (1975–1998).Source: authors’ own elaboration based on CEP data.
Spatial distribution of end-of-life cars in Polish districts (as at 31 December 2018), in line with the country’s former administrative division into 49 provinces (1975–1998).Source: authors’ own elaboration based on CEP data.

Fig. 4

Spatial distribution of LGVs (permissible load capacity <1.5 tonnes) in Poland by three selected groups (as at 31 December 2018).LGV – large goods vehicles.Source: authors’ own elaboration based on CEP data.
Spatial distribution of LGVs (permissible load capacity <1.5 tonnes) in Poland by three selected groups (as at 31 December 2018).LGV – large goods vehicles.Source: authors’ own elaboration based on CEP data.

Fig. 5

Spatial distribution of car ownership rate values in Poland, in line with data from GUS (A) and CEP, as corrected by the authors (B) (31 December 2018).Source: authors’ own elaboration based on GUS and CEP data.
Spatial distribution of car ownership rate values in Poland, in line with data from GUS (A) and CEP, as corrected by the authors (B) (31 December 2018).Source: authors’ own elaboration based on GUS and CEP data.

Fig. 6

Collation of the spatial distribution of car ownership rate values in Poland, in line with GUS and CEP data, following the authors’ correction (31 December 2018).GUS – Statistics Poland; CEP – Central Vehicle Register.Source: authors’ own elaboration based on GUS and CEP data.
Collation of the spatial distribution of car ownership rate values in Poland, in line with GUS and CEP data, following the authors’ correction (31 December 2018).GUS – Statistics Poland; CEP – Central Vehicle Register.Source: authors’ own elaboration based on GUS and CEP data.

The 15 cities and communes in Poland with the largest number of company cars_

No.City/communeNumber of passenger cars registered byNumber of passenger cars per 1,000 inhabitants
natural personsbusiness entitiesnatural personsbusiness entitiesTotal
1Warsaw591,643424,988337242578
2Poznań192,08896,411356179535
3Wrocław223,57189,406350140490
4Krakow269,86088,201352115467
5Katowice101,94959,623343201544
6Gdańsk148,38046,05632099419
7Łódź241,23743,81234863411
8Szczecin134,20527,07333267399
9Rzeszów67,97224,474359129489
10Lublin122,27924,42435972431
11Gdynia83,06724,19433798435
12Kampinos2,26121,4565274,9985,525
13Bydgoszcz114,72621,43832561385
14Bielsko-Biała67,90120,150395117512
15Opole48,27016,671377130507

Authorities responsible for collecting and sharing motorisation statistics in Poland_

PeriodPlace of vehicle registrationVehicle registerSource of GUS data
Until 1990Commune officeProvince (n = 49)WEP
1990–1998Rejon* officeProvince (n = 49)WEP
1999–2001District officeProvince (n = 16)WEP
2002–2003District officeProvince (n = 16)District databases
2004–2008District officeCentral (version 1.0)District databases
2008–2017District officeCentral (version 1.0)CEP ver. 1.0
Since November 2017District officeCentral (version 2.0)CEP ver. 2.0

Correlation coefficients between the number of LGVs (permissible load capacity <1_5 tonnes) per 1,000 inhabitants by their segments and selected socio-economic features_

SegmentPopulation densityRevenues from vehicle tax per inhabitantPIT revenues per inhabitantShare of orchards in total area
Basic segments0.312**0.328**0.603**0.088
LAVs0.271**0.456**0.564**0.075
Medium-sized vans−0.128*0.383**0.0630.502**
DOI: https://doi.org/10.2478/quageo-2022-0016 | Journal eISSN: 2081-6383 | Journal ISSN: 2082-2103
Language: English
Page range: 95 - 108
Submitted on: Jan 25, 2022
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Published on: Jun 24, 2022
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
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© 2022 Bartłomiej Kołsut, Tadeusz Stryjakiewicz, Jędrzej Gadziński, published by Adam Mickiewicz University
This work is licensed under the Creative Commons Attribution 4.0 License.