2 datasets found
  1. Number of electric vehicles in use by type 2010-2024

    • statista.com
    Updated Jun 26, 2025
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    Statista (2025). Number of electric vehicles in use by type 2010-2024 [Dataset]. https://www.statista.com/statistics/1101415/number-of-electric-vehicles-by-type/
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    Dataset updated
    Jun 26, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide
    Description

    There were about 58.1 million electric vehicles in operation worldwide in 2024. That year, all-electric vehicles accounted for about 67.2 percent of plug-in electric vehicles. Electric vehicle market growth Globally, electric vehicle sales soared to approximately 17.3 million units in 2024. While conventional vehicle sales slumped amid the outbreak of the coronavirus pandemic, the market share of electric vehicles increased to between four and five percent in 2020, and has been rising ever since. China was the market with the largest battery-electric vehicle fleet in 2024, accounting for around 23 million of the world's battery-electric vehicle population. Manufacturers leading the Chinese market Leading the Chinese battery-electric vehicle market in 2023 was domestic manufacturer BYD. The company has been acknowledged for its innovation in battery technology. BYD also began manufacturing vehicles in foreign countries in 2015. Tesla. BYD's main competitor on the global market, was the second most popular BEV manufacturer in China.

  2. Data from: Characterization of investments profiles on the energy transition...

    • zenodo.org
    • research.science.eus
    csv
    Updated Oct 5, 2023
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    Cruz E. Borges; Cruz E. Borges; Carlos Quesada; Carlos Quesada; Diego Casado-Mansilla; Diego Casado-Mansilla; Armando Aguayo-Mendoza; Armando Aguayo-Mendoza (2023). Characterization of investments profiles on the energy transition for european citizens [Dataset]. http://doi.org/10.5281/zenodo.8407117
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    csvAvailable download formats
    Dataset updated
    Oct 5, 2023
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Cruz E. Borges; Cruz E. Borges; Carlos Quesada; Carlos Quesada; Diego Casado-Mansilla; Diego Casado-Mansilla; Armando Aguayo-Mendoza; Armando Aguayo-Mendoza
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    European Union
    Description
    • Name: Characterization of investments profiles on the energy transition for european citizens
    • Summary: The dataset contains: (1) surveyee consent form for the study, (2) different scenarios about the energy transition, (3) determinant factors about those scenarios, (4) socioeconomic description of the surveyee, (5) investment decisions, (6) and household characterization/description.
    • License: cc-BY-SA
    • Acknowledge: These data have been collected in the framework of the WHY project. This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 891943.
    • Disclaimer: The sole responsibility for the content of this publication lies with the authors. It does not necessarily reflect the opinion of the Executive Agency for Small and Medium-sized Enterprises (EASME) or the European commission (Ec). EASME or the Ec are not responsible for any use that may be made of the information contained therein.
    • Collection Date: 22/07/2022
    • Publication Date: 15/10/2023
    • DOI: 10.5281/zenodo.4455198
    • Other repositories:
    • Author: University of Deusto
    • Objective of collection: This data was originally collected to analyze quantitatively the decisions of everyday people in relation to their energy consumption and their reactions to specific political interventions.
    • Description: The dataset contains a CSV file file containing data collected from a survey about energy consumption investments. The fields that can be found for each entry are (1) Different scenarios about the energy transition and reactions to those scenarios, (money spent on energy investments, decisions about scenarios, actions taken under a blackout, etc.) (2) Determinant factors about the chosen scenarios in the previous question, which include different choices that could affect your decision about a scenario (3) socioeconomic information about the user (age, country of residence, studies), (4) estimation of the prices of various technologies related to the energy transition and (5) descriptive statistics about the household living situation (gender of user, people living in household, yearly rent, average savings per month, type of house, size of house) and also includes questions about climate change expertise. Next you can found a description of each field in the dataset
      • Section 1 - Scenarios for energy transition.
        • ID90. Rank in order of priority, from top to bottom, in which scenario you will be willing to live or to contribute/invest to make it possible.
        • ID36, ID38, ID43, ID44, ID72. Percentage of money people are willing to spend/save out of their income per scenario
        • ID191, ID192.. Amount of money people would spend based on an assumed case.
        • ID191, ID192. Priority service provision in case of Intermittent energy service. Rating energy services from 0 to 10 stars, where 0 stars means it is extremely low priority for you and 10 stars means it is absolutely necessary for you.
        • [ID325, ID326, ID327, ID328, ID329, ID330, ID331, ID332, ID333, ID334, ID335, ID336, ID337, ID338, ID339, ID340, ID341, ID133, ID242]. Priority service provision in case of Intermittent energy service. Rating energy services from 0 to 10 stars, where 0 stars means it is extremely low priority and 10 stars means it is absolutely necessary.
        • [ID251, ID256, ID257, ID292, ID293, ID294, ID295, ID296, ID297, ID298, ID299, ID301, ID302, ID303, ID304, ID305, ID306, ID250, ID251]. Priority service provision in case of full black-outs. Rating energy services from 0 to 10 stars, where 0 stars means it is extremely low priority and 10 stars means it is absolutely necessary.
        • [ID141, ID5, ID147]. Used for statements that best represent survey responder
          </li>
          <li><strong>Section 2 - Determinants (factors).</strong> Questions used to rate (from 0 to 100) factors that may influence the decision-making process contributing to make an ideal scenario possible.
          <ul>
            <li><strong>ID100</strong> Risk profile</li>
            <li><strong>ID101</strong> Added value</li>
            <li><strong>ID102</strong> Self-Satisfaction</li>
            <li><strong>ID103</strong> Technical Fit</li>
            <li><strong>ID104</strong> Own competence</li>
            <li><strong>ID105</strong> Knowledge</li>
            <li><strong>ID106</strong> Cost-Efficiency</li>
            <li><strong>ID107</strong> Safety</li>
            <li><strong>ID108</strong> Trust</li>
            <li><strong>ID109</strong> Autarky</li>
            <li><strong>ID110</strong> Legal</li>
            <li><strong>ID111</strong> Climate Protection</li>
            <li><strong>ID112</strong> Wellbeing</li>
            <li><strong>ID113</strong> Coziness</li>
            <li><strong>ID114</strong> Rights and Duties</li>
            <li><strong>ID115</strong> Peer-Pressure</li>
            <li><strong>ID116</strong> Socialising</li>
            <li><strong>ID117</strong> Support</li>
            <li><strong>ID118</strong> Agreement</li>
            <li><strong>ID119</strong> Brag</li>
            <li><strong>ID120</strong> Fun</li>
            <li><strong>ID121</strong> Novelty</li>
            <li><strong>ID122</strong> Trends</li>
            <li><strong>ID123</strong> Authority</li>
            <li><strong>ID124</strong> Own Significance</li>
            <li><strong>ID125</strong> Poseur</li>
            <li><strong>ID2</strong> Frugality</li>
            <li><strong>ID3</strong> Environmental concerns</li>
            <li><strong>ID31</strong> Adherence</li>
            <li><strong>ID52</strong> Commitment</li>
            <li><strong>ID97</strong> Profits</li>
            <li><strong>ID99</strong> Credit Score</li>
          </ul>
          </li>
          <li><strong>Section 3 - “Socio-economic” description. </strong>Questions about the socio-economic information of the survey respondents for data stratification. The indentation represents the dependency of questions and whether this data was asked
          <ul>
            <li><strong>ID164</strong> Understanding of questions</li>
            <li><strong>ID300</strong> Country of residence</li>
            <li><strong>ID137</strong> Age</li>
            <li><strong>ID178</strong> Highest level of education</li>
            <li><strong>ID136</strong> Willingness to provide data on the investment decision (respond apply for -Investment decision section)</li>
          </ul>
          </li>
          <li><strong>Section 4 - Investment decision</strong>. Questions about specific prices of potential purchases-decisions related to four scenarios (respondent's lifestyle)
          <ul>
            <li>Appliances
            <ul>
              <li><strong>ID42</strong> Affordable cost of a Regular refrigerator</li>
              <li><strong>ID45</strong> Energy efficient refrigerator costs</li>
              <li><strong>ID50</strong> Willingness to purchase an energy efficient refrigerator
              <ul>
                <li><strong>ID65</strong> Why no</li>
                <li><strong>ID66</strong> affordable cost of an energy efficient option</li>
                <li><strong>ID67</strong> Years to amortize an efficient option</li>
              </ul>
              </li>
            </ul>
            </li>
            <li>Insulation
            <ul>
              <li><strong>ID47</strong> Affordable cost of updating to a state of the art insulation on the facade</li>
              <li><strong>ID56</strong> Willingness for paying/invest
              <ul>
                <li><strong>ID74</strong> Why no?</li>
                <li><strong>ID20</strong> affordable cost of an energy efficient option</li>
                <li><strong>ID34</strong> Years to amortize an energy efficient option</li>
              </ul>
              </li>
            </ul>
            </li>
            <li>Energy Generation
            <ul>
              <li><strong>ID68</strong> Affordable cost of a solar photovoltaic system</li>
              <li><strong>ID76</strong> Willingness for paying/invest
              <ul>
                <li><strong>ID84</strong> Why no?</li>
                <li><strong>ID132</strong> Affordable cost of a photovoltaic system</li>
                <li><strong>ID138</strong> Years that amortize a photovoltaic system</li>
              </ul>
              </li>
            </ul>
            </li>
            <li>Energy Storage
            <ul>
              <li><strong>ID142</strong> Affordable cost of an energy storage system</li>
              <li><strong>ID146</strong> Willingness for paying/invest
              <ul>
                <li><strong>ID181</strong> Why no? </li>
                <li><strong>ID182</strong> Affordable cost of an energy storage system </li>
                <li><strong>ID183</strong> Years that amortize an energy storage systems</li>
              </ul>
              </li>
            </ul>
            </li>
            <li>Heating
            <ul>
              <li><strong>ID140</strong> Affordable cost of a gas boiler</li>
              <li><strong>ID209</strong> Affordable cost of an energy efficient heating system</li>
              <li><strong>ID217</strong> Willingness for paying/invest
              <ul>
                <li><strong>ID238</strong> Why no?</li>
                <li><strong>ID239</strong> Affordable cost of a energy efficient option</li>
                <li><strong>ID241</strong> Years that amortize a heat pumps</li>
              </ul>
              </li>
            </ul>
            </li>
            <li>Mobility
            <ul>
              <li><strong>ID41</strong> Average kilometers traveled a typical day</li>
              <li><strong>ID51</strong> Usual travel option</li>
              <li><strong>ID264</strong> Affordable cost of a diesel or gasoline mid-range brand new car</li>
              <li><strong>ID265</strong> Affordable cost of a mid-range brand new electric car</li>
              <li><strong>ID281</strong> Willingness to buy an electric car
              <ul>
                <li><strong>ID289</strong> Why no?</li>
                <li><strong>ID290</strong> Affordable price of an electric car</li>
                <li><strong>ID291</strong> Years that amortize an electric car</li>
              </ul>
              </li>
            </ul>
            </li>
          </ul>
          </li>
          <li><strong>Section 5 - Household characterization</strong>
          <ul>
            <li><strong>ID127</strong> Selecting an asked value</li>
            <li><strong>ID189</strong> Type of living area</li>
            <li><strong>ID202</strong> Gender
        
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Statista (2025). Number of electric vehicles in use by type 2010-2024 [Dataset]. https://www.statista.com/statistics/1101415/number-of-electric-vehicles-by-type/
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Number of electric vehicles in use by type 2010-2024

Explore at:
7 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Jun 26, 2025
Dataset authored and provided by
Statistahttp://statista.com/
Area covered
Worldwide
Description

There were about 58.1 million electric vehicles in operation worldwide in 2024. That year, all-electric vehicles accounted for about 67.2 percent of plug-in electric vehicles. Electric vehicle market growth Globally, electric vehicle sales soared to approximately 17.3 million units in 2024. While conventional vehicle sales slumped amid the outbreak of the coronavirus pandemic, the market share of electric vehicles increased to between four and five percent in 2020, and has been rising ever since. China was the market with the largest battery-electric vehicle fleet in 2024, accounting for around 23 million of the world's battery-electric vehicle population. Manufacturers leading the Chinese market Leading the Chinese battery-electric vehicle market in 2023 was domestic manufacturer BYD. The company has been acknowledged for its innovation in battery technology. BYD also began manufacturing vehicles in foreign countries in 2015. Tesla. BYD's main competitor on the global market, was the second most popular BEV manufacturer in China.

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