In 2023, the leading market research company in terms of global research revenue was Gartner, generating approximately *** billion U.S. dollars. In the same year, American company IQVIA accrued roughly *** billion U.S. dollars. Market research companies - global players Market research is an important business strategy involving the gathering of information about an organization’s target market. In terms of global research revenue, American company Gartner was the leading market research company worldwide. Headquartered in the United States, the number of employees working for the company totaled ****** people in 2023. The sixth largest market research company in terms of global research revenue was Kantar. Kantar Group is a UK-based international network of ** companies, including Millward Brown and IMRB International. In 2022, the research revenue of Kantar amounted to approximately ***** billion U.S. dollars. Another European leader, and ranked seventh in the global ranking, was Ipsos. The company had a research revenue of over *** billion U.S. dollars. The largest share of market research revenue made by Ipsos was generated in Europe, the Middle East and Africa in 2023. United States dominant in a global market The global revenue of the market research industry reached over ** billion U.S. dollars in 2023, over half of which came from the United States. The number of full-time employees working for the top ten market research companies in the United States totaled almost ****** in 2020.

China Listed Company: Total Revenue: Research & Development data was reported at 203.436 RMB bn in 2023. This records an increase from the previous number of 201.775 RMB bn for 2022. China Listed Company: Total Revenue: Research & Development data is updated yearly, averaging 76.257 RMB bn from Dec 2012 (Median) to 2023, with 12 observations. The data reached an all-time high of 203.436 RMB bn in 2023 and a record low of 11.298 RMB bn in 2012. China Listed Company: Total Revenue: Research & Development data remains active status in CEIC and is reported by China Securities Regulatory Commission. The data is categorized under China Premium Database’s Business and Economic Survey – Table CN.OZ: Financial Data of Listed Company: Total Revenue.

The statistic shows internal research and development (R&D) expenditure of industrial enterprises in China between 2013 and 2023, as a percentage of revenue. In 2023, internal R&D expenditure of industrial companies in China amounted to **** percent of revenue.

In fiscal year 2025, Lam Research Corporation's revenue by geographical region are as follows: CHINA: $6.21 B, Europe: $562.56 M, JAPAN: $1.88 B, KOREA, REPUBLIC OF: $4.13 B, South East Asia: $837.24 M, TAIWAN, PROVINCE OF CHINA: $3.45 B, UNITED STATES: $1.38 B.

Market research companies have benefited from research and development (R&D) expenditure growth as companies develop new products to satisfy consumer demand. Downstream companies continue to rely on market research to create new products and campaigns that fit evolving consumer preferences. As companies strive to enhance consumer-centric strategies amid increased consumer spending, demand for tailored market research solutions has surged. A 10.7% surge in corporate profit over the past five years enabled businesses to outsource more of their research operations to professional market researchers. The digital shift has further transformed the landscape, with companies pioneering new research tools to tap into the vast potential of big data to enhance accessibility and participation. These trends have led to revenue growing at a CAGR of 3.8% to an estimated $36.4 billion over the past five years, including an estimated 2.1% boost in 2025 alone. Consumers' and advertisers' growing reliance on the internet has led to new metrics market researchers can use to better understand consumers. These have allowed new companies to enter the industry and driven providers to adjust services and implement new technologies. The rising use of social media to advertise and market new products across platforms like TikTok and Instagram also contributed to the growing demand for market research. These technological advancements improved data collection and analysis methods, offering actionable insights that helped companies refine marketing strategies and develop better products. New opportunities continue to drive revenue growth, but expansions to services and onboarding of new technology cut researchers’ profitability. Moving forward, the industry will benefit from acceleration in R&D budgets and technological and a data procurement evolution. Companies will strengthen their R&D budgets as economic conditions improve, further driving demand for advanced market research tools. The proliferation of online commerce and smart technologies will give researchers unprecedented access to consumer data. Technological developments, such as artificial intelligence (AI), are poised to create new metrics based on human reactions, which companies can leverage to better understand consumer behavior and preferences. Access to these metrics, however, will lead to tightening data privacy regulations, which may result in higher compliance costs that eat into profitability. Finally, growing emphasis on ethical practices, transparency and data security will shape consumer trust and research standards, creating new opportunities and challenges in a rapidly evolving marketplace. Revenue is poised to grow at a CAGR of 2.4% to an estimated $41.0 billion through the end of 2030.

The top 50 pharmaceutical companies by prescription sales in 2024 – and their research and development (R&D) spending – included big names such as Johnson & Johnson, Novartis, and AbbVie. During that year, Johnson & Johnson's Rx sales were approximately **** billion U.S. dollars. Thus, the American pharma giant was both the largest pharmaceutical company based on pure pharma revenue worldwide and the second ranked pharmaceutical company based on R&D spending. Johnson & Johnson spent over ** billion U.S. dollars on R&D in that year. Pharmaceutical R&D spending Research and development in the pharmaceutical industry involves the identification and development of compounds used to make new drugs. The pharmaceutical industry has the largest percentage of spending attributable to R&D among all industries. Research and development spending in the pharmaceutical industry around the world is increasing over time. However, there have been variations in the growth of research and development spending with a peak during the pandemic years 2020 and 2021. New pharmaceutical products The goal of R&D is to produce new drugs and compounds. Globally, the U.S. pharmaceutical industry created the largest number of new drugs and compounds between 2019 and 2023, followed by Europe. Among U.S. pharmaceutical companies, there are various levels of success for new drugs, depending on the phase of development. The data shows that between phase I and II alone, already over half of all drugs are failing.

In 2023, Meta Platforms had a total annual revenue of over 134 billion U.S. dollars, up from 116 billion in 2022. LinkedIn reported its highest annual revenue to date, generating over 15 billion USD, whilst Snapchat reported an annual revenue of 4.6 billion USD.

The leading pharmaceutical company worldwide in 2024 was *********************, with a revenue of about ** billion U.S. dollars. ************************. followed as the second and third leading pharmaceutical companies. A global view on the industryThe total global pharmaceutical market was worth around *** trillion U.S. dollars in 2023. North America remains the strongest regional market worldwide, responsible for nearly half of the global market size. The largest national pharmaceutical market is the United States, making up almost half of global medicine spending. Thus, five of the 10 largest pharmaceutical companies worldwide were from the United States in 2023. One reason for this is that the U.S. is still the world’s largest hub for life sciences and medical research, and knowledge. The importance of innovationPharmaceutical companies are, to a considerable extent, more than in most other industries, driven by the imperative to produce innovative products and to invest in research and development. Once a new drug, for example, is launched, the clock is already ticking towards the loss of patent protection. In particular, companies that depend on a small number of blockbuster drugs are under threat of heavy revenue loss. Two effects of patent expirations for the pharma industry are high R&D concentration and a growing focus on specialty drugs.

The global medical power supply market size was USD 1.61 billion in 2024 & is projected to grow from USD 1.72 billion in 2025 to USD 3.01 billion by 2033.
Report Scope:

Report Metric	Details
Market Size in 2024	USD 1.61 Billion
Market Size in 2025	USD 1.72 Billion
Market Size in 2033	USD 3.01 Billion
CAGR	7.2% (2025-2033)
Base Year for Estimation	2024
Historical Data	2021-2023
Forecast Period	2025-2033
Report Coverage	Revenue Forecast, Competitive Landscape, Growth Factors, Environment & Regulatory Landscape and Trends
Segments Covered	By Technology,By Type,By Application,By Region.
Geographies Covered	North America, Europe, APAC, Middle East and Africa, LATAM,
Countries Covered	U.S., Canada, U.K., Germany, France, Spain, Italy, Russia, Nordic, Benelux, China, Korea, Japan, India, Australia, Singapore, Taiwan, South East Asia, UAE, Turkey, Saudi Arabia, South Africa, Egypt, Nigeria, Brazil, Mexico, Argentina, Chile, Colombia,

Microsoft's global revenue grew from fiscal year 2022 to 2025, increasing by about ********* percent year-on-year and reaching over *** billion U.S. dollars. This marks another record-setting year for the software giant in terms of sales revenue. Microsoft and Bill Gates Microsoft has become a constant figure among the world’s most valuable brands. Its founder Bill Gates is presently, and perhaps unsurprisingly, one of the richest men in the United States and among the richest billionaires worldwide, among other well-known figures such as Warren Buffet, Carlos Slim Helu, and Larry Ellison. In addition to his status as an entrepreneur, Bill Gates is also known for his philanthropy. In 2000, together with his wife, they created the Bill and Melinda Gates Foundation. The foundation has donated a considerable amount of money, in particular in the area of research and development of treatments for neglected diseases. While Bill Gates no longer heads the Microsoft Corporation, the company itself continues to show strong results around the world, with versions of its most well-known product, the Windows operating system, consistently leading the home operating system market. The Microsoft Office suite also remains the most widely used office software around the world, with few comparable competitors in sight. The fiscal year-end of the company is June 30th.

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 York town. The dataset can be utilized to gain insights into gender-based income distribution within the York town population, aiding in data analysis and decision-making..

Key observations

• Employment patterns: Within York town, among individuals aged 15 years and older with income, there were 1,131 men and 1,259 women in the workforce. Among them, 698 men were engaged in full-time, year-round employment, while 646 women were in full-time, year-round roles.
• Annual income under $24,999: Of the male population working full-time, 0.72% fell within the income range of under $24,999, while 27.24% of the female population working full-time was represented in the same income bracket.
• Annual income above $100,000: 19.63% of men in full-time roles earned incomes exceeding $100,000, while 6.97% 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 York town median household income by race. You can refer the same here

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 Yankeetown. 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 Yankeetown, the median income for all workers aged 15 years and older, regardless of work hours, was $31,595 for males and $33,750 for females.

Contrary to expectations, women in Yankeetown, women, regardless of work hours, earn a higher income than men, earning 1.07 dollars for every dollar earned by men. This analysis indicates a significant shift in income dynamics favoring females.

- Full-time workers, aged 15 years and older: In Yankeetown, for full-time, year-round workers aged 15 years and older, the Census reported a median income of $101,667 for females, while data for males was unavailable due to an insufficient number of sample observations.

As there was no available median income data for males, conducting a comprehensive assessment of gender-based pay disparity in Yankeetown was not feasible.

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 Yankeetown median household income by race. You can refer the same here

According to the annual ranking of Forbes Global 2000 which measures the world's largest public companies, Shanghai Pharmaceuticals ranked first among the top Chinese pharmaceutical companies in terms of sales value in 2025, amounting to approximately 38 billion U.S. dollars. China Resources Pharmaceutical Group took the second place with 35.8 billion U.S. dollars in sales value. The third place belonged to Yunnan Baiyao Group with a sales revenue of 5.53 billion U.S. dollars. Staying ahead of the game China’s healthcare market is highly competitive, with over 4,000 pharmaceutical players. Industry giants like Sinopharm and Shanghai Pharmaceuticals usually have strong control over distributor networks, which are essential for reducing costs and achieving faster growth. These market leaders have been eager to progress from an imitator to an innovator, spending hundreds of millions of yuan on developing new drugs and technology. In the eight-year span between 2015 and 2022, Shanghai Pharmaceuticals increased its research and development (R&D) costs from 618 million yuan to more than 2.8 billion yuan. In some firms, the share of sales revenue spent on R&D could reach as high as 12 percent. A highly competitive market When it comes to financial health in the pharmaceuticals industry, leading in sales revenue does not always mean yielding the highest profit. In terms of annual profit, the partly state-owned Sinopharm Group stood first again in the Forbes ranking in 2023. However, Jiangsu Hengrui Medicine and Yunnan Baiyao Group overtook Shanghai Pharmaceuticals, and Jointown Pharmaceutical Group was down to the eighth spot. Given the long period of time between initial research and finally launching a product to the health market, it is always challenging for pharmaceutical companies to earn a profitable return on investment.

For its 2025 financial year, Microsoft generated *** billion U.S. dollars from its productivity and business processes segment and a further *** billion through its intelligent cloud segment. Thanks in part to the rapid growth in these two areas, 2025 proved to be the company’s most successful year ever in terms of annual revenue, with the total figure reaching over *** billion dollars. Microsoft Corporation Since its foundation in 1975, Microsoft has grown into one of the most successful tech firms in the world and has experienced years of continued success. To ensure that this growth persists, the company has added tens of thousands of employees over the past decade and invested billions into research and development. Some of Microsoft’s major business ventures include its Windows operating system, various lines of consumer electronics, software packages such as Microsoft Office, as well as newer offerings such as cloud computing capabilities. Intelligent cloud segment As Microsoft's fastest-growing business, intelligent cloud replaced the more personal computing segment in 2020 to become the company's largest business segment. The intelligent cloud segment contains Microsoft's public, private, and hybrid server products and cloud services, such as Azure, SQL Server, etc. Together with Amazon Web Services (AWS) and Google Cloud Platform (GCP), Azure is one of the most popular cloud infrastructure as a service (IaaS) offerings. The intelligent cloud segment, however, does not reflect the totality of Microsoft's cloud business, as Office 365—the company's popular cloud collaboration solution—is grouped under the productivity and business processes segment. The software giant has established a firm footing in the fast-growing cloud market.

In 2024, the computer peripherals producer Logitech reported sales revenues of 4.29 billion U.S. dollars, of which 1.23 billion U.S. dollars was generated by its gaming segment. A further 821.44 million U.S. dollars in revenue was made from keyboard and keyboard-and-mouse combination (combo) sales. Logitech’s History The international company, Logitech, was founded in 1981 by three individuals: Daniel Borel, Pierluigi Zappacosta, and Giacomo Marini. Collectively, the group of computer scientists and engineers chose the name Logitech due to the root of the French word for software, “logiciel”. The company started as a consulting firm with contract work in publishing-related software development and hardware architecture. However, the Logitech team quickly changed paths when the computer mouse began to surface, and the birth of the computer peripherals company began. Logitech operates across the world, with its headquarters based in Lausanne, Switzerland, and with corporate offices in both California and Taiwan. Research & Development Logitech has maintained a solid level of expenditure on research and development (R&D), allowing the company to diversify and broaden its range of products, including gaming gear. In the past, pointing devices such as computer mouse products and wireless trackballs were the largest contributing segment for revenue. However, this segment has been overtaken by keyboards and combos, and gaming. The popularity of gaming products translated to revenue has almost tripled over the past five years.

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 Texas. The dataset can be utilized to gain insights into gender-based income distribution within the Texas population, aiding in data analysis and decision-making..

Key observations

• Employment patterns: Within Texas, among individuals aged 15 years and older with income, there were 10.23 million men and 9.51 million women in the workforce. Among them, 6.19 million men were engaged in full-time, year-round employment, while 4.53 million women were in full-time, year-round roles.
• Annual income under $24,999: Of the male population working full-time, 9.50% fell within the income range of under $24,999, while 14.90% of the female population working full-time was represented in the same income bracket.
• Annual income above $100,000: 28.10% of men in full-time roles earned incomes exceeding $100,000, while 15.19% 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 Texas median household income by race. You can refer the same here

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 Ashland town. The dataset can be utilized to gain insights into gender-based income distribution within the Ashland town population, aiding in data analysis and decision-making..

Key observations

• Employment patterns: Within Ashland town, among individuals aged 15 years and older with income, there were 848 men and 837 women in the workforce. Among them, 341 men were engaged in full-time, year-round employment, while 356 women were in full-time, year-round roles.
• Annual income under $24,999: Of the male population working full-time, 11.14% fell within the income range of under $24,999, while 9.55% of the female population working full-time was represented in the same income bracket.
• Annual income above $100,000: 15.84% of men in full-time roles earned incomes exceeding $100,000, while 17.13% 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 Ashland town median household income by race. You can refer the same here

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 Washington. The dataset can be utilized to gain insights into gender-based income distribution within the Washington population, aiding in data analysis and decision-making..

Key observations

• Employment patterns: Within Washington, among individuals aged 15 years and older with income, there were 2.91 million men and 2.70 million women in the workforce. Among them, 1.61 million men were engaged in full-time, year-round employment, while 1.11 million women were in full-time, year-round roles.
• Annual income under $24,999: Of the male population working full-time, 4.67% fell within the income range of under $24,999, while 6.70% of the female population working full-time was represented in the same income bracket.
• Annual income above $100,000: 39.35% of men in full-time roles earned incomes exceeding $100,000, while 26.39% 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 Washington median household income by race. You can refer the same here

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 Norway. 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 Norway, the median income for all workers aged 15 years and older, regardless of work hours, was $49,167 for males and $38,750 for females.

These income figures indicate a substantial gender-based pay disparity, showcasing a gap of approximately 21% between the median incomes of males and females in Norway. With women, regardless of work hours, earning 79 cents to each dollar earned by men, this income disparity reveals a concerning trend toward wage inequality that demands attention in thecity of Norway.

- Full-time workers, aged 15 years and older: In Norway, among full-time, year-round workers aged 15 years and older, males earned a median income of $63,333, while females earned $38,750, leading to a 39% gender pay gap among full-time workers. This illustrates that women earn 61 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 lower gender pay gap percentage. This indicates that Norway offers better opportunities for women in non-full-time positions.

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 Norway median household income by race. You can refer the same here

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 Yountville. 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 Yountville, the median income for all workers aged 15 years and older, regardless of work hours, was $34,646 for males and $37,963 for females.

Contrary to expectations, women in Yountville, women, regardless of work hours, earn a higher income than men, earning 1.1 dollars for every dollar earned by men. This analysis indicates a significant shift in income dynamics favoring females.

- Full-time workers, aged 15 years and older: In Yountville, among full-time, year-round workers aged 15 years and older, males earned a median income of $53,972, while females earned $96,250

Contrary to expectations, in Yountville, women, earn a higher income than men, earning 1.78 dollars for every dollar earned by men. This analysis showcase a consistent trend of women outearning men, when working full-time or part-time in the city of Yountville.

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 Yountville median household income by race. You can refer the same here