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International PPP-Adjusted Earnings by Country
Data Science and Analytics
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About
This collection of statistics provides a measure of total employee income post-taxation, standardised by Purchasing Power Parity (PPP) to account for variations in living costs between nations. The distinction is made between average wages, which pertain specifically to employed individuals' earnings, and median wages, which can differ significantly (for instance, the US 2020 average wage was $53,383 while the median was $34,612). The data spans two decades, facilitating longitudinal analysis of global economic equality and labour earnings.
Columns
The data includes 14 columns:
- Country: The name of the nation being measured. There are 35 unique countries represented, all values are valid.
- 2000 through 2020 (12 columns): These columns represent the calculated average wage, adjusted for PPP, for the respective year. Statistics indicate that all 35 records contain valid wage data for each year provided.
Distribution
The data is contained within a file named
avg_wage.csv, which is small, measuring 3.25 kB. The structure consists of 14 columns and 35 records. For the key metrics, such as the country identifier and the yearly wage figures, there are no missing or mismatched values.Usage
This dataset is suitable for high-level economic analysis and cross-country comparisons of labour earnings and living standards. Ideal applications include:
- Benchmarking wage growth or decline in relation to global standards.
- Analysing the impact of PPP adjustments on reported national earnings.
- Studying trends in average wages over a 20-year period (2000–2020).
- Supporting academic research into international economics and labour markets.
Coverage
The data provides a global geographic scope, encompassing 35 distinct countries. The temporal coverage is annual, ranging from the year 2000 up to and including 2020. The scope focuses specifically on employment-derived income, measuring the average earnings of employees.
License
CC0: Public Domain
Who Can Use It
- Economists: For macro-economic modelling, particularly concerning wealth distribution and PPP effectiveness.
- Financial Analysts: To assess comparative standards of living and economic stability in different regions.
- Academics: For educational purposes or research on global labour statistics.
- Policy Analysts: To inform decisions related to international trade and labour legislation.
Dataset Name Suggestions
- Global Average Wages Adjusted by PPP (2000–2020)
- International PPP-Adjusted Earnings by Country
- Cross-National Post-Tax Average Wage Statistics
Attributes
Original Data Source: International PPP-Adjusted Earnings by Country
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