Pickup Trucks
Europe
Vehicle Sales by make
in the Pickup Trucks market in thousand vehicles
Reading Support Pickup Trucks unit sales are expected to reach 40.4t in 2023.
Fuel or Drive-Type Share
in the Pickup Trucks market in percent
Reading Support Diesel cars accounted for 100.00% of sales in 2018.
Analyst Opinion
Pickup Trucks statistics are exclusive to the United States market. There, they are protected by the so-called “chicken tax” which exempts them from strict CO2 emission regulations on one hand and on the other, make them more commercially available for the general public.

Revenue by make
in the Pickup Trucks market in million AU$
Reading Support Revenue in the Pickup trucks market segment is expected to reach AU$1,626m in 2021.
Average Price
in the Pickup Trucks market in AU$
Reading Support The volume weighted average price of Pickup Trucks in 2021 is expected to amount to AU$40,163.
Key Market Indicators
The following Key Market Indicators give an overview of the social and economic outlook of the selected region and provide additional insights into relevant market-specific developments. These indicators, together with data from statistical offices, trade associations and companies serve as the foundation for the Statista market models.
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Population in m Number of individuals (all ages) living in the selected region, the data is based on the United Nations' medium variant of World Population Prospects as well as similar projections by national statistical offices | Source: Statista, based on UN DESA and national statistical offices | ||||||||||||||||||||||
0-14 years in m Number of individuals (age 0-14) living in the selected region, the data is based on the United Nations' medium variant of World Population Prospects as well as similar projections by national statistical offices | Source: Statista, based on UN DESA and national statistical offices | ||||||||||||||||||||||
15-24 years in m Number of individuals (age 15-24) living in the selected region, the data is based on the United Nations' medium variant of World Population Prospects as well as similar projections by national statistical offices | Source: Statista, based on UN DESA and national statistical offices | ||||||||||||||||||||||
25-34 years in m Number of individuals (age 25-34) living in the selected region, the data is based on the United Nations' medium variant of World Population Prospects as well as similar projections by national statistical offices | Source: Statista, based on UN DESA and national statistical offices | ||||||||||||||||||||||
35-44 years in m Number of individuals (age 35-44) living in the selected region, the data is based on the United Nations' medium variant of World Population Prospects as well as similar projections by national statistical offices | Source: Statista, based on UN DESA and national statistical offices | ||||||||||||||||||||||
45-54 years in m Number of individuals (age 45-54) living in the selected region, the data is based on the United Nations' medium variant of World Population Prospects as well as similar projections by national statistical offices | Source: Statista, based on UN DESA and national statistical offices | ||||||||||||||||||||||
55+ years in m Number of individuals (age 55 and older) living in the selected region, the data is based on the United Nations' medium variant of World Population Prospects as well as similar projections by national statistical offices | Source: Statista, based on UN DESA and national statistical offices | ||||||||||||||||||||||
Consumer spending, per capita (current prices) Average consumer spending per capita of private households in the selected region (in current prices, constant exchange rate) | Source: Statista, based on IMF, UN, World Bank, Eurostat and national statistical offices | ||||||||||||||||||||||
Transport Consumer spending per capita for transport (according to the Classification of Individual Consumption Purposes, COICOP) in the selected region (in current prices, constant exchange rate). This group inlcudes the purchase of vehicles, maintenenace of vehicles as well as transportation services. | Source: Statista, based on IMF, UN, World Bank, Eurostat and national statistical offices | ||||||||||||||||||||||
Consumer price index (CPI) Consumer price index (CPI) for a weighted basket of goods and services. The weights of the components vary by country according to local consumption patterns. The base year (100) has been set to 2017 for all countries, the base year of the input data may vary. | Source: Statista, based on IMF WEOD | ||||||||||||||||||||||
Price level (U.S.=100) Estimated price level index for all goods and services for individual private consumption (U.S.=100). Data has been extrapolated from the last iteration of the World Bank's International Comparison Program (ICP) using inflation data (GDP deflator). The indicator is valued at the current exchange rate of the respective year versus the US$. Numbers above 100 signal that prices are on average higher in this region than in the U.S., numbers below would mean prices in this region are on average lower than in the U.S. | Source: Statista, based on World Bank, IMF, Eurostat and national statistical offices | ||||||||||||||||||||||
Transport Estimated price level index for transport (U.S.=100). This group inlcudes the purchase of vehicles, maintenenace of vehicles as well as transportation services. Data has been extrapolated from the last iteration of the World Bank's International Comparison Program (ICP) using inflation and exchange rate data . The indicator is valued at the current exchange rate of the respective year versus the US$. | Source: Statista, based on World Bank, IMF, Eurostat and national statistical offices | ||||||||||||||||||||||
Recreation, culture Estimated price level index for recreation and culture (U.S.=100). Data has been extrapolated from the last iteration of the World Bank's International Comparison Program (ICP) using inflation and exchange rate data . The indicator is valued at the current exchange rate of the respective year versus the US$. | Source: Statista, based on World Bank, IMF, Eurostat and national statistical offices | ||||||||||||||||||||||
Mobility Click arrow to expand | ||||||||||||||||||||||
Passenger km (road) in pkm Total movement of passengers on roads using inland transport on a given network. Data are expressed in passenger-kilometres per-capita, which represents the transport of each one passenger on a distance of one kilometre. | Source: Statista, based on OECD | ||||||||||||||||||||||
Passenger km (rail) in pkm Total movement of passengers by rail using inland transport on a given network, data are expressed in passenger-kilometres per capita, which represents the transport of each one passenger on a distance of one kilometre | Source: Statista, based on OECD | ||||||||||||||||||||||
Air passengers in m Number of passengers carried by air transport in the selected region | Source: Statista, based on ICAO, World Bank | ||||||||||||||||||||||
International trade Click arrow to expand | ||||||||||||||||||||||
Trade (% of GDP) in % Sum of exports and imports of goods and services in relation to total gross domestic product (GDP) | Source: Statista, based on World Bank, OECD | ||||||||||||||||||||||
Households in m The indicator shows the total number of private households in the selected region. Households denote residential communties of people living and keeping house together. Business facilities as well as institutional housholds (like unversity dormitories or retire homes) are not counted as households. | Source: Statista, based on national and international statistical offices | ||||||||||||||||||||||
Urban population share in % Estimated share of the total population in the selected region living in urban areas | Source: Statista, based on UN DESA and national statistical offices | ||||||||||||||||||||||
GDP, per capita (current prices) Gross domestic product (in current prices, constant exchange rate) of the selected region per capita | Source: Statista, based on IMF, World Bank, European Commission, OECD, ADB | ||||||||||||||||||||||
Source: Statista, January 2021 |
Methodology
We collect over 32 million data points from various sources, including but not limited to company reports and websites, vehicle registries, car dealers, and environment agencies. The data is modelled and forecasted using machine learning techniques in combination with the experience and knowledge of a team of international analysts, in order to produce the best market estimates and predictions.

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