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


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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/commune Number of passenger cars registered by Number of passenger cars per 1,000 inhabitants
natural persons business entities natural persons business entities Total
1 Warsaw 591,643 424,988 337 242 578
2 Poznań 192,088 96,411 356 179 535
3 Wrocław 223,571 89,406 350 140 490
4 Krakow 269,860 88,201 352 115 467
5 Katowice 101,949 59,623 343 201 544
6 Gdańsk 148,380 46,056 320 99 419
7 Łódź 241,237 43,812 348 63 411
8 Szczecin 134,205 27,073 332 67 399
9 Rzeszów 67,972 24,474 359 129 489
10 Lublin 122,279 24,424 359 72 431
11 Gdynia 83,067 24,194 337 98 435
12 Kampinos 2,261 21,456 527 4,998 5,525
13 Bydgoszcz 114,726 21,438 325 61 385
14 Bielsko-Biała 67,901 20,150 395 117 512
15 Opole 48,270 16,671 377 130 507

Authorities responsible for collecting and sharing motorisation statistics in Poland.

Period Place of vehicle registration Vehicle register Source of GUS data
Until 1990 Commune office Province (n = 49) WEP
1990–1998 Rejon* office Province (n = 49) WEP
1999–2001 District office Province (n = 16) WEP
2002–2003 District office Province (n = 16) District databases
2004–2008 District office Central (version 1.0) District databases
2008–2017 District office Central (version 1.0) CEP ver. 1.0
Since November 2017 District office Central (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.

Segment Population density Revenues from vehicle tax per inhabitant PIT revenues per inhabitant Share of orchards in total area
Basic segments 0.312** 0.328** 0.603** 0.088
LAVs 0.271** 0.456** 0.564** 0.075
Medium-sized vans −0.128* 0.383** 0.063 0.502**
eISSN:
2081-6383
Language:
English
Publication timeframe:
4 times per year
Journal Subjects:
Geosciences, Geography