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Country-level Passenger Vehicle Sales Data
Data Science and Analytics
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About
This dataset offers valuable insights into total passenger car sales across 141 countries from 2005 to 2022. Each row represents a specific country, and the columns contain data for each year's passenger car sales. With 19 columns in total, including one for the country and the rest for annual sales figures, this dataset provides a rich source of information for analysing global trends, conducting market research, and understanding the automotive industry's dynamics over the years.
Columns
- Country: The name of the country. This column has 141 unique values and is 100% valid.
- 2005 Sales to 2022 Sales: These columns represent the total passenger car sales for each respective year. For most years (2005-2019), data is available for 99% of entries, with only 1% missing. However, for 2020, 2021, and 2022, there is a notable 60% of data missing for sales figures, with valid entries for 40-41% of the countries. Each sales column includes statistical measures such as mean, standard deviation, and quantiles (minimum, 25th percentile, 50th percentile, 75th percentile, and maximum sales figures).
Distribution
The dataset is typically provided as a CSV file, with a sample file named
scraped_data.csv sized at 22.25 kB. It is structured with 19 columns in total. Each of the 141 rows represents a different country. The structure is well-defined, with country names in one column and annual sales data in subsequent columns spanning from 2005 to 2022.Usage
This dataset is ideally suited for:
- Analysing global trends in passenger car sales.
- Conducting market research within the automotive sector.
- Gaining insights into the automotive industry's dynamics over nearly two decades.
- Economic modelling and forecasting related to vehicle demand.
Coverage
The dataset covers 141 countries globally. The time range for the sales data is from 2005 to 2022. It is important to note that while data for most years (2005-2019) is largely complete with only 1-2% missing values, there is a significant amount of missing data (approximately 60%) for the years 2020, 2021, and 2022. There is no specific demographic scope mentioned beyond country-level sales figures.
License
CC0: Public Domain
Who Can Use It
- Market Researchers: To identify emerging markets, assess market size, and understand regional growth patterns in the automotive industry.
- Automotive Industry Analysts: For strategic planning, competitive analysis, and tracking shifts in global vehicle demand.
- Economists and Academics: To study macroeconomic indicators, consumer behaviour, and the impact of global events on vehicle sales.
- Data Scientists: For building predictive models, time-series analysis, and data visualisations of automotive sales trends.
Dataset Name Suggestions
- Global Passenger Car Sales: 2005-2022
- Worldwide Automotive Sales Trends (2005-2022)
- Country-level Passenger Vehicle Sales Data
- Annual Global Car Sales by Country
Attributes
Original Data Source: Country-level Passenger Vehicle Sales Data
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