The median annual earnings for full-time employees in Wales was approximately 34,303 British pounds in 2024, compared with 32,371 pounds in the previous year. At the start of the provided time period, in 1999, the average full-time salary in Wales was 16,457 pounds per year, with median earnings reaching 20,000 pounds per year in 2004, and exceeding 30,000 pounds by 2022.

The median annual earnings in the United Kingdom was 37,430 British pounds per year in 2024. Annual earnings varied significantly by region, ranging from 47,455 pounds in London to 32,960 pounds in the North East. Along with London, two other areas of the UK had median annual earnings above the UK average; South East England, and Scotland, at 39,038 pounds and 38,315 pounds respectively. Regional Inequality in the UK Various other indicators highlight the degree of regional inequality in the UK, especially between London and the rest of the country. Productivity in London, as measured by output per hour, was 26.2 percent higher than the UK average. By comparison, every other UK region, except the South East, fell below the UK average for productivity. In gross domestic product per head, London was also an outlier. The average GDP per head in the UK was just over 37,000 pounds in 2023, but for London it was almost 64,000 pounds. Again, the South East's GDP per head was slightly above the UK average, with every other region below it. Within London itself, there is also a great degree of inequality. In 2023, for example, the average earnings in Kensington and Chelsea were 964 pounds per week, compared with 675 pounds in Barking and Dagenham. Wages continue to grow in 2025 In March 2025, weekly wages in the UK were growing by around 5.6 percent, or 1.8 percent when adjusted for inflation. For almost two years, wages have grown faster than inflation after a long period where prices were rising faster than wages between 2021 and 2023. This was due to a sustained period of high inflation in the UK, which peaked in October 2022 at 11.1 percent. Although inflation started to slow the following month, it wasn't until June 2023 that wages started to outpace inflation. By this point, the damage caused by high energy and food inflation had led to the the worst Cost of Living Crisis in the UK for a generation.

Estimates of annual household income for the four income types for Middle layer Super Output Areas, or local areas, in England and Wales.

From April 1, 2024, doctors starting their first year of foundation training in Wales were paid a basic salary of 33,307 British pounds a year. Consultant salaries, on the other hand, started at 106,000 British pounds annually. The actual income depends on actual hours worked at night, weekend, on-call, working over 40 hrs per week, or any other potential pay premium. General practitioners (GPs) can either be employed and are salaried GPs, or independent contractors in charge of their own practices as a business (alone or in partnerships).

About this dataset

Context

The dataset presents median income data over a decade or more for males and females categorized by Total, Full-Time Year-Round (FT), and Part-Time (PT) employment in Welsh. It showcases annual income, providing insights into gender-specific income distributions and the disparities between full-time and part-time work. The dataset can be utilized to gain insights into gender-based pay disparity trends and explore the variations in income for male and female individuals.

Key observations: Insights from 2023

Based on our analysis ACS 2019-2023 5-Year Estimates, we present the following observations: - All workers, aged 15 years and older: In Welsh, the median income for all workers aged 15 years and older, regardless of work hours, was $53,111 for males and $27,908 for females.

These income figures highlight a substantial gender-based income gap in Welsh. Women, regardless of work hours, earn 53 cents for each dollar earned by men. This significant gender pay gap, approximately 47%, underscores concerning gender-based income inequality in the town of Welsh.

- Full-time workers, aged 15 years and older: In Welsh, among full-time, year-round workers aged 15 years and older, males earned a median income of $81,094, while females earned $36,123, leading to a 55% gender pay gap among full-time workers. This illustrates that women earn 45 cents for each dollar earned by men in full-time roles. This level of income gap emphasizes the urgency to address and rectify this ongoing disparity, where women, despite working full-time, face a more significant wage discrepancy compared to men in the same employment roles.

Remarkably, across all roles, including non-full-time employment, women displayed a similar gender pay gap percentage. This indicates a consistent gender pay gap scenario across various employment types in Welsh, showcasing a consistent income pattern irrespective of employment status.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. All incomes have been adjusting for inflation and are presented in 2023-inflation-adjusted dollars.

Gender classifications include:

• Male
• Female

Employment type classifications include:

• Full-time, year-round: A full-time, year-round worker is a person who worked full time (35 or more hours per week) and 50 or more weeks during the previous calendar year.
• Part-time: A part-time worker is a person who worked less than 35 hours per week during the previous calendar year.

Variables / Data Columns

• Year: This column presents the data year. Expected values are 2010 to 2023
• Male Total Income: Annual median income, for males regardless of work hours
• Male FT Income: Annual median income, for males working full time, year-round
• Male PT Income: Annual median income, for males working part time
• Female Total Income: Annual median income, for females regardless of work hours
• Female FT Income: Annual median income, for females working full time, year-round
• Female PT Income: Annual median income, for females working part time

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Welsh median household income by race. You can refer the same here

The Average Salary chart presents a clear visualization of the salary progression for graduates from Johnson & Wales University-Charlotte from 2020 to 2023, illustrating the yearly average salary trends. Additionally, the chart compares these figures with the overall average salary trends of graduates from all schools, providing a comprehensive view of how Johnson & Wales University-Charlotte’s graduates stand in terms of earning potential relative to their peers nationwide. This data is crucial for prospective students assessing the ROI of their education at Johnson & Wales University-Charlotte.

The median hourly pay in 2022 for White British employees was ***** pounds per hour, while people belonging to the Asian Other category received a median of ***** pounds per hour, which was the highest hourly pay in the hourly earnings shown. White and Black Caribbean employees had the lowest median hourly earnings in 2022, at ***** pounds per hour, followed by Bangladeshi employees, at just over ** pounds per hour

About this dataset

Context

The dataset presents the detailed breakdown of the count of individuals within distinct income brackets, categorizing them by gender (men and women) and employment type - full-time (FT) and part-time (PT), offering valuable insights into the diverse income landscapes within North Wales. The dataset can be utilized to gain insights into gender-based income distribution within the North Wales population, aiding in data analysis and decision-making..

Key observations

• Employment patterns: Within North Wales, among individuals aged 15 years and older with income, there were 1,246 men and 1,334 women in the workforce. Among them, 915 men were engaged in full-time, year-round employment, while 529 women were in full-time, year-round roles.
• Annual income under $24,999: Of the male population working full-time, 1.09% fell within the income range of under $24,999, while 5.67% of the female population working full-time was represented in the same income bracket.
• Annual income above $100,000: 37.38% of men in full-time roles earned incomes exceeding $100,000, while 32.51% of women in full-time positions earned within this income bracket.
• Refer to the research insights for more key observations on more income brackets ( Annual income under $24,999, Annual income between $25,000 and $49,999, Annual income between $50,000 and $74,999, Annual income between $75,000 and $99,999 and Annual income above $100,000) and employment types (full-time year-round and part-time)

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Income brackets:

• $1 to $2,499 or loss
• $2,500 to $4,999
• $5,000 to $7,499
• $7,500 to $9,999
• $10,000 to $12,499
• $12,500 to $14,999
• $15,000 to $17,499
• $17,500 to $19,999
• $20,000 to $22,499
• $22,500 to $24,999
• $25,000 to $29,999
• $30,000 to $34,999
• $35,000 to $39,999
• $40,000 to $44,999
• $45,000 to $49,999
• $50,000 to $54,999
• $55,000 to $64,999
• $65,000 to $74,999
• $75,000 to $99,999
• $100,000 or more

Variables / Data Columns

• Income Bracket: This column showcases 20 income brackets ranging from $1 to $100,000+..
• Full-Time Males: The count of males employed full-time year-round and earning within a specified income bracket
• Part-Time Males: The count of males employed part-time and earning within a specified income bracket
• Full-Time Females: The count of females employed full-time year-round and earning within a specified income bracket
• Part-Time Females: The count of females employed part-time and earning within a specified income bracket

Employment type classifications include:

• Full-time, year-round: A full-time, year-round worker is a person who worked full time (35 or more hours per week) and 50 or more weeks during the previous calendar year.
• Part-time: A part-time worker is a person who worked less than 35 hours per week during the previous calendar year.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for North Wales median household income by race. You can refer the same here

Annual estimates of paid hours worked and earnings for UK employees by sex, and full-time and part-time, by home-based region to local and unitary authority level.

This table presents data on all children living in households that have a household income below 60 per cent of the UK median household income after housing costs are paid.

As of September 2024, people working in insulation were the construction subcontractor workers with the highest pay in England and Wales, amounting to ***** British pounds per week. On the other side of the spectrum, roofing workers had a weekly wage of *** British pounds on average. Overall, the pay in the construction sector in the UK in March 2024 amounted to *** British pounds per week.

In September 2024, the weekly pay of subcontractor trade workers in the construction sector in the East of England was somewhat higher than in London. North East was the region with the lowest salary in England and Wales at *** British pounds per week. Meanwhile, the average weekly wage of construction workers in Wales was *** British pounds. Meanwhile, the weekly earnings in the construction sector in the UK as a whole amounted to *** British pounds in March 2024.

Australia Average Annualised Wage Increases: Federal Agreement: Processed in the Quarter: New South Wales data was reported at 4.100 % in Dec 2024. This records an increase from the previous number of 3.900 % for Sep 2024. Australia Average Annualised Wage Increases: Federal Agreement: Processed in the Quarter: New South Wales data is updated quarterly, averaging 3.450 % from Mar 2005 (Median) to Dec 2024, with 80 observations. The data reached an all-time high of 5.500 % in Sep 2023 and a record low of 1.600 % in Dec 2020. Australia Average Annualised Wage Increases: Federal Agreement: Processed in the Quarter: New South Wales data remains active status in CEIC and is reported by Department of Employment and Workplace Relations. The data is categorized under Global Database’s Australia – Table AU.G107: Average Annualized Wage Increases: Federal Agreement: by State.

Australia Average Annualised Wage Increases: Federal Agreement: Current: New South Wales data was reported at 3.900 % in Dec 2024. This stayed constant from the previous number of 3.900 % for Sep 2024. Australia Average Annualised Wage Increases: Federal Agreement: Current: New South Wales data is updated quarterly, averaging 3.500 % from Mar 2005 (Median) to Dec 2024, with 80 observations. The data reached an all-time high of 4.300 % in Sep 2005 and a record low of 2.500 % in Dec 2019. Australia Average Annualised Wage Increases: Federal Agreement: Current: New South Wales data remains active status in CEIC and is reported by Department of Employment and Workplace Relations. The data is categorized under Global Database’s Australia – Table AU.G107: Average Annualized Wage Increases: Federal Agreement: by State.

Model-based estimates of the proportion of households with mean weekly income lower than 60% of the national median weekly income, by middle layer super output area, England and Wales.

Affordability ratios calculated by dividing house prices by gross annual workplace-based earnings. Based on the median and lower quartiles of both house prices and earnings in England and Wales.

About this dataset

Context

The dataset presents the detailed breakdown of the count of individuals within distinct income brackets, categorizing them by gender (men and women) and employment type - full-time (FT) and part-time (PT), offering valuable insights into the diverse income landscapes within Wales town. The dataset can be utilized to gain insights into gender-based income distribution within the Wales town population, aiding in data analysis and decision-making..

Key observations

• Employment patterns: Within Wales town, among individuals aged 15 years and older with income, there were 771 men and 634 women in the workforce. Among them, 487 men were engaged in full-time, year-round employment, while 251 women were in full-time, year-round roles.
• Annual income under $24,999: Of the male population working full-time, 0.62% fell within the income range of under $24,999, while 3.98% of the female population working full-time was represented in the same income bracket.
• Annual income above $100,000: 28.54% of men in full-time roles earned incomes exceeding $100,000, while 19.52% of women in full-time positions earned within this income bracket.
• Refer to the research insights for more key observations on more income brackets ( Annual income under $24,999, Annual income between $25,000 and $49,999, Annual income between $50,000 and $74,999, Annual income between $75,000 and $99,999 and Annual income above $100,000) and employment types (full-time year-round and part-time)

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Income brackets:

• $1 to $2,499 or loss
• $2,500 to $4,999
• $5,000 to $7,499
• $7,500 to $9,999
• $10,000 to $12,499
• $12,500 to $14,999
• $15,000 to $17,499
• $17,500 to $19,999
• $20,000 to $22,499
• $22,500 to $24,999
• $25,000 to $29,999
• $30,000 to $34,999
• $35,000 to $39,999
• $40,000 to $44,999
• $45,000 to $49,999
• $50,000 to $54,999
• $55,000 to $64,999
• $65,000 to $74,999
• $75,000 to $99,999
• $100,000 or more

Variables / Data Columns

• Income Bracket: This column showcases 20 income brackets ranging from $1 to $100,000+..
• Full-Time Males: The count of males employed full-time year-round and earning within a specified income bracket
• Part-Time Males: The count of males employed part-time and earning within a specified income bracket
• Full-Time Females: The count of females employed full-time year-round and earning within a specified income bracket
• Part-Time Females: The count of females employed part-time and earning within a specified income bracket

Employment type classifications include:

• Full-time, year-round: A full-time, year-round worker is a person who worked full time (35 or more hours per week) and 50 or more weeks during the previous calendar year.
• Part-time: A part-time worker is a person who worked less than 35 hours per week during the previous calendar year.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Wales town median household income by race. You can refer the same here

United Kingdom GHP: Mean: Wales: Professional Occupations data was reported at 20.830 GBP in 2017. This records an increase from the previous number of 20.770 GBP for 2016. United Kingdom GHP: Mean: Wales: Professional Occupations data is updated yearly, averaging 20.250 GBP from Dec 2011 (Median) to 2017, with 7 observations. The data reached an all-time high of 20.830 GBP in 2017 and a record low of 19.470 GBP in 2012. United Kingdom GHP: Mean: Wales: Professional Occupations data remains active status in CEIC and is reported by Office for National Statistics. The data is categorized under Global Database’s UK – Table UK.G049: Gross Hourly Pay: Mean: by Region.

Abstract copyright UK Data Service and data collection copyright owner.

The aim of this project was to create a synthetic dataset without using the original (secure, controlled) dataset to do so, and instead using only publicly available analytical output (i.e. output that was cleared for publication) to create the synthetic data. Such synthetic data may allow users to gain familiarity with and practise on data that is like the original before they gain access to the original data (where time in a secure setting may be limited).

The Annual Survey of Hours and Earnings 2011 and Census 2011: Synthetic Data was created without access to the original ASHE-2011 Census dataset (which is only available in a secure setting via the ONS Secure Research Service: "Annual Survey of Hours and Earnings linked to 2011 Census - England and Wales"). It was created as a teaching aid to support a training course "An Introduction to the linked ASHE-2011 Census dataset" organised by Administrative Data Research UK and the National Centre for Research Methods. The synthetic dataset contains a subset of the variables in the original dataset and was designed to reproduce the analytical output contained in the ASHE-Census 2011 Data Linkage User Guide.

Main Topics:

Variables available in this study relate to synthetic employment, earnings and demographic information for adults employed in England and Wales in 2011.

Graph and download economic data for 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Prince of Wales-Outer Ketchikan Census Area, AK (DISCONTINUED) (MHICILBAK02201A052NCEN) from 1989 to 2008 about Prince of Wales-Hyder Census Area, AK; AK; households; median; income; and USA.