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

Key observations

• Employment patterns: Within Portland, among individuals aged 15 years and older with income, there were 252.68 thousand men and 252.53 thousand women in the workforce. Among them, 138,718 men were engaged in full-time, year-round employment, while 113,021 women were in full-time, year-round roles.
• Annual income under $24,999: Of the male population working full-time, 4.75% fell within the income range of under $24,999, while 5.93% of the female population working full-time was represented in the same income bracket.
• Annual income above $100,000: 36.25% of men in full-time roles earned incomes exceeding $100,000, while 29.51% 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 Portland median household income by race. You can refer the same here

About this dataset

Context

The dataset presents the median household income across different racial categories in Portland. It portrays the median household income of the head of household across racial categories (excluding ethnicity) as identified by the Census Bureau. The dataset can be utilized to gain insights into economic disparities and trends and explore the variations in median houshold income for diverse racial categories.

Key observations

Based on our analysis of the distribution of Portland population by race & ethnicity, the population is predominantly White. This particular racial category constitutes the majority, accounting for 90.18% of the total residents in Portland. Notably, the median household income for White households is $73,420. Interestingly, despite the White population being the most populous, it is worth noting that Black or African American households actually reports the highest median household income, with a median income of $104,293. This reveals that, while Whites may be the most numerous in Portland, Black or African American households experience greater economic prosperity in terms of median household income.

Content

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

Racial categories include:

• White
• Black or African American
• American Indian and Alaska Native
• Asian
• Native Hawaiian and Other Pacific Islander
• Some other race
• Two or more races (multiracial)

Variables / Data Columns

• Race of the head of household: This column presents the self-identified race of the household head, encompassing all relevant racial categories (excluding ethnicity) applicable in Portland.
• Median household income: Median household income, adjusting for inflation, presented in 2023-inflation-adjusted dollars

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

This dataset tracks annual diversity score from 2009 to 2023 for Portland Village School vs. Oregon and Portland School District 1j

This dataset tracks annual diversity score from 2002 to 2023 for Portland Community Education vs. Michigan and Portland Public Schools

This dataset tracks annual diversity score from 2013 to 2023 for Roosevelt High School vs. Oregon and Portland School District 1j

This dataset tracks annual diversity score from 1996 to 2023 for Portland High School vs. Maine and Portland Public Schools

This dataset tracks annual diversity score from 2016 to 2023 for Kairos Pdx vs. Oregon and Portland School District 1j

This dataset tracks annual diversity score from 1991 to 2023 for Portland School District vs. Connecticut

Species interactions are fundamental to community dynamics and ecosystem processes. Despite significant progress in describing species interactions, we lack the ability to predict changes in interactions across space and time. We outline a Bayesian approach to separate the probability of species co†occurrence, interaction and detectability in influencing interaction betadiversity. We use a multi†year hummingbird–plant time series, divided into training and testing data, to show that including models of detectability and occurrence improves forecasts of mutualistic interactions. We then extend our model to explore interaction betadiversity across two distinct seasons. Despite differences in the observed interactions among seasons, there was no significant change in hummingbird occurrence or interaction frequency between hummingbirds and plants. These results highlight the challenge of inferring the causes of interaction betadiversity when interaction detectability is low. Finally, we hig...

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

Key observations

• Employment patterns: Within Portland town, among individuals aged 15 years and older with income, there were 1,424 men and 1,150 women in the workforce. Among them, 556 men were engaged in full-time, year-round employment, while 383 women were in full-time, year-round roles.
• Annual income under $24,999: Of the male population working full-time, 8.81% fell within the income range of under $24,999, while 13.32% of the female population working full-time was represented in the same income bracket.
• Annual income above $100,000: 12.05% of men in full-time roles earned incomes exceeding $100,000, while 11.23% 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 Portland town median household income by race. You can refer the same here

This dataset tracks annual diversity score from 2003 to 2023 for Trillium vs. Oregon and Portland School District 1j

This dataset tracks annual diversity score from 2003 to 2023 for Opal School Of The Portland Children's Museum vs. Oregon and Portland School District 1j

This dataset tracks annual diversity score from 1999 to 2023 for Winterhaven School vs. Oregon and Portland School District 1j

This dataset tracks annual diversity score from 2007 to 2023 for Portland Arthur Academy Charter School vs. Oregon and Portland School District 1j

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

Key observations

• Employment patterns: Within New Portland town, among individuals aged 15 years and older with income, there were 181 men and 249 women in the workforce. Among them, 96 men were engaged in full-time, year-round employment, while 87 women were in full-time, year-round roles.
• Annual income under $24,999: Of the male population working full-time, 12.50% fell within the income range of under $24,999, while 28.74% of the female population working full-time was represented in the same income bracket.
• Annual income above $100,000: 25% of men in full-time roles earned incomes exceeding $100,000, while 10.34% 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 New Portland town median household income by race. You can refer the same here

Within the time frame of the longevity of tree species, climate change will change faster than the ability of natural tree migration. Migration lags may result in reduced productivity and reduced diversity in forests under current management and climate change. We evaluated the efficacy of planting climate-suitable tree species (CSP), those tree species with current or historic distributions immediately south of a focal landscape, to maintain or increase aboveground biomass, productivity, and species and functional diversity. We modeled forest change with the LANDIS-II forest simulation model for 100 years (2000–2100) at a 2-ha cell resolution and five-year time steps within two landscapes in the Great Lakes region (northeastern Minnesota and northern lower Michigan, USA). We compared current climate to low- and high-emission futures. We simulated a low-emission climate future with the Intergovernmental Panel on Climate Change (IPCC) 2007 B1 emission scenario and the Parallel Climate Model Global Circulation Model (GCM). We simulated a high-emission climate future with the IPCC A1FI emission scenario and the Geophysical Fluid Dynamics Laboratory (GFDL) GCM. We compared current forest management practices (business-as-usual) to CSP management. In the CSP scenario, we simulated a target planting of 5.28% and 4.97% of forested area per five-year time step in the Minnesota and Michigan landscapes, respectively. We found that simulated CSP species successfully established in both landscapes under all climate scenarios. The presence of CSP species generally increased simulated aboveground biomass. Species diversity increased due to CSP; however, the effect on functional diversity was variable. Because the planted species were functionally similar to many native species, CSP did not result in a consistent increase nor decrease in functional diversity. These results provide an assessment of the potential efficacy and limitations of CSP management. These results have management implications for sites where diversity and productivity are expected to decline. Future efforts to restore a specific species or forest type may not be possible, but CSP may sustain a more general ecosystem service (e.g., aboveground biomass).

Portland Pozzolan Cement Market Outlook

The Portland Pozzolan Cement market size is projected to witness significant growth from 2023 to 2032. Valued at approximately USD 15 billion in 2023, the market is anticipated to reach nearly USD 25 billion by 2032, boasting a CAGR of around 5.5% during the forecast period. This growth is driven by a multitude of factors including increased construction activities worldwide, technological advancements in cement manufacturing, and heightened environmental concerns that favor sustainable building materials like Portland Pozzolan Cement. The significant rise in urbanization and infrastructure development across emerging economies further propels the demand, making the market expansion inevitable.

The growth of the Portland Pozzolan Cement market can be largely attributed to the increasing focus on sustainable construction practices. With growing awareness around carbon emissions and their impact on global warming, a shift towards eco-friendly construction materials has become evident. Portland Pozzolan Cement, known for its reduced carbon footprint compared to ordinary Portland cement, presents a viable alternative that aligns with global sustainability goals. Moreover, the cement’s inherent properties such as enhanced durability and resistance to chemical attacks make it an attractive choice in various construction applications, promoting its widespread adoption across sectors.

Rising urbanization rates, particularly in Asia Pacific and Africa, are further driving the Portland Pozzolan Cement market. As cities expand and new urban areas are developed, the demand for effective and sustainable construction materials intensifies. Governments and private sector entities are investing heavily in infrastructure projects such as roads, bridges, tunnels, and public buildings, where Portland Pozzolan Cement is increasingly being utilized. This surge in infrastructure development is not only bolstering the market growth but also fostering innovation and improvements in cement manufacturing processes to meet the evolving needs of modern construction.

Additionally, the Portland Pozzolan Cement market is benefitting from technological advancements and innovations in cement production. Manufacturers are investing in research and development to enhance the performance characteristics of Portland Pozzolan Cement, such as improved setting time and increased strength. These innovations are expanding the applicability of the cement in diverse climatic conditions and challenging environments, further encouraging its adoption. Enhanced production techniques are also making Portland Pozzolan Cement more cost-effective, thus increasing its competitiveness against traditional cement products.

From a regional perspective, Asia Pacific holds the largest share of the Portland Pozzolan Cement market, driven by rapid urbanization and extensive infrastructure development initiatives in countries such as China and India. North America and Europe are also significant markets, benefiting from stringent environmental regulations and a strong emphasis on sustainable construction practices. Meanwhile, the Middle East & Africa and Latin America present promising growth opportunities due to their expanding construction sectors and increasing investment in large-scale infrastructure projects.

Type Analysis

In the Type segment, Portland Pozzolan Cement is categorized into Natural Pozzolan and Artificial Pozzolan. Natural Pozzolan, derived from natural volcanic ash, has been used since ancient times and continues to be favored for its eco-friendly properties. It is sought after in regions with abundant natural resources, offering a cost-effective solution for sustainable construction. Natural Pozzolan’s performance in enhancing the durability and longevity of concrete structures remains a key driver for its demand across various applications. The growing emphasis on reducing carbon emissions in the construction industry is further enhancing its market prospects.

Artificial Pozzolan, on the other hand, is manufactured using industrial by-products like fly ash, silica fume, and slag. The utilization of these by-products not only contributes to waste management but also improves the sustainability profile of the cement. Artificial Pozzolan is gaining traction due to its consistent quality and the ability to tailor its properties to meet specific construction requirements. As industries seek to align with circular economy principles, the demand for Artificial Pozzolan is anticipated to grow, driven by its potential to reduce reliance on natural resources and min

This dataset tracks annual diversity score from 1991 to 2023 for Gregory-portland High School vs. Texas and Gregory-Portland Independent School District

This dataset tracks annual diversity score from 1990 to 2023 for Portland High School vs. Tennessee and Sumner County School District

This dataset tracks annual diversity score from 1990 to 2023 for Portland East Middle School vs. Tennessee and Sumner County School District