This report presents a statistical analysis of earnings data, focusing on comparisons between men and women in the public and private sectors. It utilizes hypothesis testing, specifically t-tests, to determine significant differences in earnings. The report includes time charts illustrating earnings trends over several years and calculates annual growth rates for different groups. Furthermore, the analysis extends to hourly pay rates across various UK regions, employing median calculations, quartile analysis, and standard deviation to assess pay disparities. Data visualization techniques, such as bar and pie charts, are used to present the findings and provide a clear understanding of the relationships between variables, such as the number of bedrooms and house prices in different streets. The report concludes by summarizing the key findings and their implications.