About this dataset

Context

The dataset presents the the household distribution across 16 income brackets among four distinct age groups in Industry: Under 25 years, 25-44 years, 45-64 years, and over 65 years. The dataset highlights the variation in household income, offering valuable insights into economic trends and disparities within different age categories, aiding in data analysis and decision-making..

Key observations

• Upon closer examination of the distribution of households among age brackets, it reveals that there are 11(1.54%) households where the householder is under 25 years old, 211(29.63%) households with a householder aged between 25 and 44 years, 245(34.41%) households with a householder aged between 45 and 64 years, and 245(34.41%) households where the householder is over 65 years old.
• The age group of 25 to 44 years exhibits the highest median household income, while the largest number of households falls within the 45 to 64 years bracket. This distribution hints at economic disparities within the borough of Industry, showcasing varying income levels among different age demographics.

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:

• Less than $10,000
• $10,000 to $14,999
• $15,000 to $19,999
• $20,000 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 $59,999
• $60,000 to $74,999
• $75,000 to $99,999
• $100,000 to $124,999
• $125,000 to $149,999
• $150,000 to $199,999
• $200,000 or more

Variables / Data Columns

• Household Income: This column showcases 16 income brackets ranging from Under $10,000 to $200,000+ ( As mentioned above).
• Under 25 years: The count of households led by a head of household under 25 years old with income within a specified income bracket.
• 25 to 44 years: The count of households led by a head of household 25 to 44 years old with income within a specified income bracket.
• 45 to 64 years: The count of households led by a head of household 45 to 64 years old with income within a specified income bracket.
• 65 years and over: The count of households led by a head of household 65 years and over old with income within a specified income bracket.

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 Industry median household income by age. You can refer the same here

About this dataset

Context

The dataset presents the mean household income for each of the five quintiles in Industry, Maine, as reported by the U.S. Census Bureau. The dataset highlights the variation in mean household income across quintiles, offering valuable insights into income distribution and inequality.

Key observations

• Income disparities: The mean income of the lowest quintile (20% of households with the lowest income) is 21,212, while the mean income for the highest quintile (20% of households with the highest income) is 186,697. This indicates that the top earners earn 9 times compared to the lowest earners.
• *Top 5%: * The mean household income for the wealthiest population (top 5%) is 301,009, which is 161.23% higher compared to the highest quintile, and 1419.05% higher compared to the lowest quintile.

Content

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

Income Levels:

• Lowest Quintile
• Second Quintile
• Third Quintile
• Fourth Quintile
• Highest Quintile
• Top 5 Percent

Variables / Data Columns

• Income Level: This column showcases the income levels (As mentioned above).
• Mean Household Income: Mean household income, in 2023 inflation-adjusted dollars for the specific income level.

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 Industry town median household income. You can refer the same here

The operating income growth rate of the EU banking industry increased in recent years, reaching roughly 16 percent in 2023. This was the highest growth rate in the observed period. The largest drop in income growth took place in 2020, due to the economic contraction caused by the COVID-19 pandemic.

About this dataset

Context

The dataset tabulates the Industry household income by gender. The dataset can be utilized to understand the gender-based income distribution of Industry income.

Content

The dataset will have the following datasets when applicable

Please note: The 2020 1-Year ACS estimates data was not reported by the Census Bureau due to the impact on survey collection and analysis caused by COVID-19. Consequently, median household income data for 2020 is unavailable for large cities (population 65,000 and above).

• Industry, CA annual median income by work experience and sex dataset : Aged 15+, 2010-2022 (in 2022 inflation-adjusted dollars)
• Industry, CA annual income distribution by work experience and gender dataset (Number of individuals ages 15+ with income, 2021)

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/.

Interested in deeper insights and visual analysis?

Explore our comprehensive data analysis and visual representations for a deeper understanding of Industry income distribution by gender. You can refer the same here

Estimated total population, per capita income, and personal income by major component and earnings by North American Industry Classification System (NAICS) industry. Data are reported in thousands of dollars unless stated otherwise.

Graph and download economic data for National income without capital consumption adjustment: Domestic private industries: Manufacturing (N5008C1Q027SBEA) from Q1 2001 to Q3 2024 about national income, CCADJ, private industries, domestic, private, income, manufacturing, industry, GDP, and USA.

Graph and download economic data for National income without capital consumption adjustment: Domestic private industries: Professional and business services (N5016C1Q027SBEA) from Q1 2001 to Q3 2024 about national income, CCADJ, professional, private industries, domestic, business, services, private, income, industry, GDP, and USA.

Net income of the U.S. banking industry - including commercial banks and savings institutions - declined much more in 2008 than in 2022. The lowest growth rate was measured in the third quarter of 2008, when the net income of the banking industry was 94 percent less than in the same quarter of the previous year. After the global financial crisis in 2007/2008, the growth rate experienced a surge in 2009 and 2010. Between 2011 and 2019, it remained relatively stable, with less extreme fluctuations. As the COVID-19 pandemic - and with it the economic downturn - hit the economy of the U.S., the growth rate dropped again in 2020, then increased in 2021. The first half of 2022 brought another negative growth rate. As of the first quarter of 2023, the quarterly income growth rate of the American banking industry was 33.6 percent.

In 2023, the average wage and salary per full-time equivalent employee in the mining industry in the United States was at 126,707 U.S. dollars. The highest wage and salary per FTE was found in the information industry, at 164,400 U.S. dollars.

Graph and download economic data for Taxes on corporate income: Domestic industries: Mining (N3106C0A144NBEA) from 1998 to 2023 about mining, tax, domestic, corporate, income, industry, GDP, and USA.

Data on employment income statistics by industry sectors (2-digit code) from the North American Industry Classification System (NAICS) 2017, Indigenous identity, highest level of education, work activity during the reference year, age and gender, for the population aged 15 years and over who reported weeks worked and employment income in 2020 in private households in Canada, provinces and territories, census metropolitan areas and census agglomerations with parts.

Graph and download economic data for Taxes on corporate income: Domestic industries: Manufacturing (N3112C0A144NBEA) from 1998 to 2023 about tax, domestic, corporate, income, manufacturing, industry, GDP, and USA.

Average and median population, population change and proportion of rural population, as well as selected resource income statistics of all communities (census subdivisions) and resource-based communities, for 2016 and 2021.

Graph and download economic data for Taxes on corporate income: Domestic industries: Depository institutions (B3191C0A144NBEA) from 1987 to 2000 about tax, domestic, corporate, depository institutions, income, industry, GDP, and USA.

About this dataset

Context

The dataset tabulates the Industry median household income by race. The dataset can be utilized to understand the racial distribution of Industry income.

Content

The dataset will have the following datasets when applicable

Please note: The 2020 1-Year ACS estimates data was not reported by the Census Bureau due to the impact on survey collection and analysis caused by COVID-19. Consequently, median household income data for 2020 is unavailable for large cities (population 65,000 and above).

• Industry, CA median household income breakdown by race betwen 2011 and 2021
• Median Household Income by Racial Categories in Industry, CA (2021, in 2022 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/.

Interested in deeper insights and visual analysis?

Explore our comprehensive data analysis and visual representations for a deeper understanding of Industry median household income by race. You can refer the same here

Graph and download economic data for Quarterly Financial Report: U.S. Corporations: All Manufacturing: Income (Loss) Before Income Taxes (QFR111MFGUSNO) from Q4 2000 to Q4 2024 about gains/losses, finance, tax, corporate, income, manufacturing, industry, and USA.

Graph and download economic data for Revenue from Businesses for Publishing Industries (Except Internet), Establishments Subject to Federal Income Tax (BUS511TAXABL144QNSA) from Q3 2006 to Q4 2024 about internet, printing, revenue, establishments, tax, federal, business, income, industry, and USA.

The Report Covers US Fixed Income Asset Management Companies and the Market is Segmented Based On the Client Type (Retail, Pension Funds, Insurance Companies, Banks, and Other Client Types), and by Asset Class (Bonds, Money Market Instruments (includes Mutual Funds), ETF, and Other Asset Classes)

Average weekly earnings by North American Industry Classification System (NAICS), type of employee and overtime status, last 5 years.

China Steel Industry: Other Income data was reported at 12,775.930 RMB mn in 2022. This records an increase from the previous number of 12,666.142 RMB mn for 2021. China Steel Industry: Other Income data is updated yearly, averaging 10,678.780 RMB mn from Dec 1995 (Median) to 2022, with 26 observations. The data reached an all-time high of 26,253.023 RMB mn in 2012 and a record low of 1,070.600 RMB mn in 1997. China Steel Industry: Other Income data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s Metal and Steel Sector – Table CN.WAH: Steel Industry: Financial Data.