Except for JPMorgan Chase, Citigroup, Capital One and Bank of America, the share of minority employees in the total U.S.-based workforce of the leading U.S. banks was less than 50 percent. Among the observed banks, JPMorgan Chase had the most diverse workforce, with 56 percent of the employees who self-identified were racial minorities. JPMorgan Chase was followed by Citigroup, where the share of people of color was approximately 53 percent. Capital One ranked third in terms of racial diversity. Here, the share of non-white employees in the U.S.-based workforce was 51.4 percent. The share was the lowest at PNC Financial Services, where approximately 38 percent of the workforce were non-white.

As of October 2024, the share of women in leadership positions at U.S. Bank Corp was on average 27.3 percent. On the board, approximately 30 percent of the directors were women. On executive and senior level, 33.7 percent of the officials and managers were female. In the Managing Committee, only 18.75 percent of the members were female, making it the least diverse leadership body of the bank.

Among the leading banks in the U.S., Citigroup had the highest share of racial minorities at executive and senior level in 2023. Here, approximately 34 percent of the executive and senior-level employees were non-white. Citigroup was followed by JPMorgan Chase, which was the only other bank where the share of racial minorities was at least 30 percent. PNC had the lowest share of non-white employees on executive and senior level.

The share of female employees among executive and senior level officials and managers varied on average between 26 and 42 percent among the largest U.S. banks in 2023. This is a relatively big difference compared to the share of female employees in the total workforce, where the share of women exceeded 50 percent at most banks. At 41.9 percent, Wells Fargo had the highest share of female executives and seniors, followed by the Citigroup (41.74 percent) and Bank of America (39 percent). The share of female employees at these levels was the lowest at TD Bank (27.1 percent) and Goldman Sachs (25.9 percent).Board diversity at leading banks A board of directors is the governing body of a company that makes key decisions on issues such as dividends, mergers, and the recruitment of senior managers. In case of a public company, the directors are elected by the shareholders. In 2023, diversity on the board of directors at the leading U.S. banks was slightly higher than at the executive and senior levels, although only Citigroup had more female directors than male ones. What is the world's leading company for gender equality? Gender equality has been in the spotlight for many years, and companies around the world attempt to address issues related to gender equality in various ways. The most common ways are to increase gender balance in the total workforce and on the board of directors, decrease gender pay gaps, and to introduce efficient policies on parental leave and sexual harassment. Based on these and other criteria, the world's leading public company for gender equality in 2022 was an Australian real estate company, called Mirvac.

As of September 2024, Citigroup led the largest U.S. banks in gender diversity on its board, with women comprising over 53 percent of directors. It was the only bank among those observed where female directors held a majority. JPMorgan Chase and TD Bank rounded out the top three in board gender diversity. At the other end of the spectrum, Fifth Third Bank had the lowest representation, with women making up 25 percent of its board.

In 2023, the share of female employees in the total workforce of most leading U.S. banks exceeded 50 percent. Among the observed banks, Truist and PNC Financial Services had the highest share of female employees in terms of the total workforce, at 62.7 and 59 percent, respectively. The lowest share of female employees was seen at Capital One and Goldman Sachs, where the share of women was less than 50 percent.Gender diversity: total workforce vs. senior management The relatively high share of female employees in the total workforce of leading U.S. banks may show gender diversity in a good light, but the devil is in the details. The share of female executives and senior level officials and managers in the largest U.S. banks was significantly lower in 2023. The relatively low share of female executives and senior managers in banks is not unique. In numerous other industries, the share of women employed on executive and senior levels tends to be lower than the share of women in the total workforce. Global gender gap index There has been a gradually increasing focus on gender equality in recent years. The global gender gap index was first introduced by the World Economic Forum in 2006 to measure the gender-based gaps among four key dimensions (economic participation and opportunity, educational attainment, health and survival, and political empowerment), and to track the progress of closing these gaps. Based on the four dimensions, the index scores each country between zero and one. In 2023, Europe held seven spots in the top ten, while the United States ranked 43rd.

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

Key observations

• Employment patterns: Within Banks, among individuals aged 15 years and older with income, there were 125 men and 73 women in the workforce. Among them, 53 men were engaged in full-time, year-round employment, while 43 women were in full-time, year-round roles.
• Annual income under $24,999: Of the male population working full-time, 1.89% fell within the income range of under $24,999, while 23.26% of the female population working full-time was represented in the same income bracket.
• Annual income above $100,000: none of men in full-time roles earned incomes exceeding $100,000, while none 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)

https://i.neilsberg.com/ch/banks-al-income-distribution-by-gender-and-employment-type.jpeg" alt="Banks, AL gender and employment-based income distribution analysis (Ages 15+)">

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 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 Banks median household income by gender. You can refer the same here

Soil seed banks offer plants the possibility to disperse through time. This has implications for population and community dynamics, as recognised by ecological and evolutionary theory. In contrast, the conservation and restoration literature often find seed banks to be depauperate, weedy and without much conservation value or restoration potential. One explanation for these contrasting views might lie in a systematic bias in the sampling of seed banks versus established plant communities. We use the species–area relationship as a tool to assess and compare the per-area species richness and spatial structuring of the diversity of the established plant community versus soil seed banks. To allow this direct comparison we extensively survey the species–area relationship of the vegetation and underlying seed bank of a grassland community across twelve sites spanning regional bioclimatic gradients. We also compile a global dataset of established vegetation and seed banks from published sources. We find that seed banks have consistently higher intercepts and slopes of the relationship, and hence higher diversity at any given spatial scale, than the vegetation both in the field and literature study. This is consistent across habitat types, climate gradients, and biomes. Similarity indices are commonly used to compare vegetation and seed bank, and we find that sampling effort (% of the vegetation area sampled for seed bank) was the strongest predictor of vegetation–seed bank similarity for both the Sørensen (R2 = 0.70) and the Raup–Crick (R2 = 0.25) index. Our study suggests that the perception that seed banks are intrinsically less diverse than established plant communities has been based more on inadequate sampling than on biological reality. Across a range of ecosystems and climatic settings, we find high diversity in seed banks relative to the established community, suggesting potentially important roles of seed banks in population dynamics and diversity maintenance.

Bank of America's leadership diversity in 2024 reveals progress but also room for improvement. While 42 percent of U.S.-based manager positions were held by ethnic minorities, representation decreased at higher levels. This pattern of diminishing diversity in senior roles is common across major U.S. banks, highlighting an industry-wide challenge in promoting and retaining diverse talent in top positions.

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

Key observations

• Employment patterns: Within Red Bank, among individuals aged 15 years and older with income, there were 4,849 men and 4,948 women in the workforce. Among them, 2,698 men were engaged in full-time, year-round employment, while 2,708 women were in full-time, year-round roles.
• Annual income under $24,999: Of the male population working full-time, 6.89% fell within the income range of under $24,999, while 12% of the female population working full-time was represented in the same income bracket.
• Annual income above $100,000: 38.47% of men in full-time roles earned incomes exceeding $100,000, while 28.25% 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 Red Bank median household income by race. You can refer the same here

This is the data set used for the publication Buffering effects of soil seed banks on plant community composition in response to land use and climate, published in the journal Global Ecology and Biogeography.

Aim. Climate and land use are key determinants of biodiversity, with past and ongoing changes posing serious threats to global ecosystems. Unlike most other organism groups, plant species can possess dormant life-history stages such as soil seed banks, which may help plant communities to resist or at least postpone the detrimental impact of global changes. This study investigates the potential for soil seed banks to achieve this.

Location. Europe

Time period. 1978 – 2014

Major taxa studied. Flowering plants

Methods. Using a space-for-time/warming approach, we study plant species richness and composition in the herb layer and the soil seed bank in 2796 community plots from 54 datasets in managed grasslands, forests and intermediate, successional habitats across a climate gradient.

Results. Soil seed banks held more species than the herb layer, being compositionally similar across habitats. Species richness was lower in forests and successional habitats compared to grasslands, with annual temperature range more important than mean annual temperature for determining richness. Climate and land use effects were generally less pronounced when plant community richness included seed bank species richness, while there was no clear effect of land use and climate on compositional similarity between the seed bank and the herb layer.

Main conclusions. High seed bank diversity and compositional similarity between the herb layer and seed bank plant communities may provide a potentially important functional buffer against the impact of ongoing environmental changes on plant communities. This capacity could, however, be threatened by climate warming. Dormant life-history stages can therefore be important sources of diversity in changing environments, potentially underpinning already observed time-lags in plant community responses to global change. However, as soil seed banks themselves appear, albeit less, vulnerable to the same changes, their potential to buffer change can only be temporary, and major community shifts may still be expected.

Board gender diversity varied among the UK's largest banks in 2025. Women comprised an average of 44.4 percent of board directors at the ten largest banks. Three banks - HSBC, Virgin Money, and NatWest Group - had female-majority boards. Metro Bank had the lowest female representation, with women holding 27.3 percent of board seats.

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

Key observations

• Employment patterns: Within Red Bank, among individuals aged 15 years and older with income, there were 4,685 men and 5,208 women in the workforce. Among them, 3,049 men were engaged in full-time, year-round employment, while 2,300 women were in full-time, year-round roles.
• Annual income under $24,999: Of the male population working full-time, 4.62% fell within the income range of under $24,999, while 7.30% of the female population working full-time was represented in the same income bracket.
• Annual income above $100,000: 17.32% of men in full-time roles earned incomes exceeding $100,000, while 9.74% 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 Red Bank 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 Banks. The dataset can be utilized to gain insights into gender-based income distribution within the Banks population, aiding in data analysis and decision-making..

Key observations

• Employment patterns: Within Banks, among individuals aged 15 years and older with income, there were 613 men and 766 women in the workforce. Among them, 464 men were engaged in full-time, year-round employment, while 254 women were in full-time, year-round roles.
• Annual income under $24,999: Of the male population working full-time, 0.86% fell within the income range of under $24,999, while 1.57% of the female population working full-time was represented in the same income bracket.
• Annual income above $100,000: 37.28% of men in full-time roles earned incomes exceeding $100,000, while 18.11% 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 Banks 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 Banks township. The dataset can be utilized to gain insights into gender-based income distribution within the Banks township population, aiding in data analysis and decision-making..

Key observations

• Employment patterns: Within Banks township, among individuals aged 15 years and older with income, there were 548 men and 521 women in the workforce. Among them, 243 men were engaged in full-time, year-round employment, while 188 women were in full-time, year-round roles.
• Annual income under $24,999: Of the male population working full-time, 9.88% fell within the income range of under $24,999, while 15.96% of the female population working full-time was represented in the same income bracket.
• Annual income above $100,000: 2.88% of men in full-time roles earned incomes exceeding $100,000, while none 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)

https://i.neilsberg.com/ch/banks-township-carbon-county-pa-income-distribution-by-gender-and-employment-type.jpeg" alt="Banks township, Carbon County, Pennsylvania gender and employment-based income distribution analysis (Ages 15+)">

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 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 Banks township median household income by gender. You can refer the same here

Anthropogenic nutrient enrichment and shifts in herbivory can lead to dramatic changes in the composition and diversity of aboveground plant communities which, in turn, can alter cryptic biodiversity storage, seed banks, in the soil. We used data from seven Nutrient Network grassland sites on four continents, encompassing a range of climatic and environmental conditions, to test the joint effects of fertilization and aboveground mammalian herbivory on seed banks and on the similarity between aboveground plant communities and seed banks. Fertilization decreased plant species richness and diversity in seed banks, and homogenized composition between aboveground and seed bank communities. Fertilization increased seed bank abundance especially in the presence of herbivores, while this effect was smaller in the absence of herbivores. Our findings highlight that nutrient enrichment can weaken the temporal storage effect as a diversity maintaining mechanism and that herbivory needs to be considered when assessing nutrient enrichment effects on seed bank abundance. Methods There are several datasets associated with this work.

A dataset that contains plant community composition data, in two parts

A seedbank dataset that was collected from sites, seeds were grown from the soil, counted and identified. An aboveground plant community dataset where plant cover was collected in m2 quadrats. Within these quadrats plants were identied to the lowest taxonomic unit, and then the percent cover was estimated

a plot information dataset that contains all the treatment data for each plot across all the sites in the experiment A dataset that contains biomass sorted to functional group for each plot in the dataset. Biomass was collected in two 0.1 m2 plots, combined, sorted to functional group (forbs, graminoids, legumes and litter), then scaled to the m2 scale.

Plant invasions result in biodiversity losses and altered ecological functions, though quantifying loss of multiple ecosystem functions presents a research challenge. Plant phylogenetic diversity correlates with a range of ecosystem functions, and can be used as a proxy for ecosystem multifunctionality. Laurentian Great Lakes coastal wetlands are ideal systems for testing invasive species management effects because they support diverse biological communities, provide numerous ecosystem services, and are increasingly dominated by invasive macrophytes. Invasive cattails are among the most widespread and abundant of these taxa. We conducted a three-year study in two Great Lakes wetlands, testing the effects of a gradient of cattail removal intensities (mowing, harvest, complete biomass removal) within two vegetation zones (emergent marsh, wet meadow) on plant taxonomic and phylogenetic diversity. To evaluate native plant recovery potential, we paired this with a seed-bank emergence study that quantified diversity metrics in each zone under experimentally manipulated hydroperiods. Pre-treatment, we found that wetland zones had distinct plant community composition. Wet meadow seed banks had greater taxonomic and phylogenetic diversity than emergent marsh seed banks, and high-water treatments tended to inhibit diversity by reducing germination. Aboveground harvesting of cattails and their litter increased phylogenetic diversity and species richness in both zones, more than doubling richness compared to unmanipulated controls. In the wet meadow, harvesting shifted the community toward an early successional state, favoring seed-bank germination from early seral species, whereas emergent marsh complete removal treatments shifted the community toward an aquatic condition, favoring floating-leaved plants. Removing cattails and their litter increased taxonomic and phylogenetic diversity across water levels, a key environmental gradient, thereby potentially increasing the multifunctionality of these ecosystems. Killing invasive wetland macrophytes but leaving their biomass in situ does not address their underlying mechanism of dominance and is less effective than more intensive treatments that also remove their litter.

From 2003 to 2025, the central banks of the United States, United Kingdom, and European Union exhibited remarkably similar interest rate patterns, reflecting shared global economic conditions. In the early 2000s, rates were initially low to stimulate growth, then increased as economies showed signs of overheating prior to 2008. The financial crisis that year prompted sharp rate cuts to near-zero levels, which persisted for an extended period to support economic recovery. The COVID-19 pandemic in 2020 led to further rate reductions to historic lows, aiming to mitigate economic fallout. However, surging inflation in 2022 triggered a dramatic policy shift, with the Federal Reserve, Bank of England, and European Central Bank significantly raising rates to curb price pressures. As inflation stabilized in late 2023 and early 2024, the ECB and Bank of England initiated rate cuts by mid-2024, and the Federal Reserve also implemented its first cut in three years, with forecasts suggesting a gradual decrease in all major interest rates between 2025 and 2026. Divergent approaches within the European Union While the ECB sets a benchmark rate for the Eurozone, individual EU countries have adopted diverse strategies to address their unique economic circumstances. For instance, Hungary set the highest rate in the EU at 13 percent in September 2023, gradually reducing it to 6.5 percent by October 2024. In contrast, Sweden implemented more aggressive cuts, lowering its rate to 2.25 percent by February 2025, the lowest among EU members. These variations highlight the complex economic landscape that European central banks must navigate, balancing inflation control with economic growth support. Global context and future outlook The interest rate changes in major economies have had far-reaching effects on global financial markets. Government bond yields, for example, reflect these policy shifts and investor sentiment. As of June 2024, the United States had the highest 10-year government bond yield among developed economies at 4.09 percent, while Switzerland had the lowest at 0.69 percent. These rates serve as important benchmarks for borrowing costs and economic expectations worldwide.

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

Key observations

• Employment patterns: Within Red Bank, among individuals aged 15 years and older with income, there were 4,731 men and 4,906 women in the workforce. Among them, 2,548 men were engaged in full-time, year-round employment, while 2,511 women were in full-time, year-round roles.
• Annual income under $24,999: Of the male population working full-time, 9.73% fell within the income range of under $24,999, while 7.13% of the female population working full-time was represented in the same income bracket.
• Annual income above $100,000: 29.98% of men in full-time roles earned incomes exceeding $100,000, while 26.88% 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)

https://i.neilsberg.com/ch/red-bank-nj-income-distribution-by-gender-and-employment-type.jpeg" alt="Red Bank, NJ gender and employment-based income distribution analysis (Ages 15+)">

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 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 Red Bank median household income by gender. You can refer the same here

In 2023, white employees were the predominant group across nearly all job categories at PNC Financial Services in the United States. At the executive and senior levels, over 83 percent of employees identified as white, making it the least racially diverse category at the company. Among professionals and first- and mid-level officials and managers, the share of white employees ranged from 71 to 73 percent. Non-white employees were more represented among administrative support roles, and in the sales category, white employees made up less than half, with around 48.6 percent identifying as white.