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.

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.

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 0 households where the householder is under 25 years old, 21(20.39%) households with a householder aged between 25 and 44 years, 46(44.66%) households with a householder aged between 45 and 64 years, and 36(34.95%) 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 city 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

Graph and download economic data for Income Before Taxes: Income Before Taxes by Occupation: Wage and Salary Earners: Managers and Professionals (CXUINCBEFTXLB1204M) from 1984 to 2023 about management, occupation, professional, salaries, tax, wages, income, and USA.

About this dataset

Context

The dataset presents the mean household income for each of the five quintiles in Industry, PA, 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 17,858, while the mean income for the highest quintile (20% of households with the highest income) is 165,256. 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 222,078, which is 134.38% higher compared to the highest quintile, and 1243.58% 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 median household income. You can refer the same here

Average hourly and weekly wage rate, and median hourly and weekly wage rate by North American Industry Classification System (NAICS), type of work, gender, and age group.

In 2022, the average monthly salary of people working for extraterritorial organizations and bodies in Vietnam reached over **** million Vietnamese dong, the highest among all industries. Information and communication ranked second among all industries regarding average monthly salary, followed by financial, banking and insurance activities.

Graph and download economic data for Income Before Taxes: Regular Contributions for Support by Occupation: Total Wage and Salary Earners (CXUREGCONTLB1203M) from 1984 to 2012 about contributions, occupation, salaries, tax, wages, income, and USA.

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Detailed labour market outcomes by educational characteristics, including detailed occupation, hours and weeks worked and employment income.

Graph and download economic data for National income without capital consumption adjustment: Domestic private industries: Mining (N5005C1Q027SBEA) from Q1 2001 to Q2 2025 about national income, CCADJ, mining, private industries, domestic, income, private, industry, GDP, and USA.

As of 2022, the median annual salary of a principal engineer in the Chinese technology industry reached *** thousand yuan. According to the source, junior-level employees in the technology industry gained the most from changing their jobs. In contrast, from the middle-level upwards, the salary increases are much lower after taking a position at a new employer.

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.

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 (A426RC1Q027SBEA) from Q1 1987 to Q4 2000 about national income, CCADJ, domestic, private industries, income, private, manufacturing, industry, GDP, and USA.

Workers in the construction sector in Lima, Peru had the second highest monthly income between May and July 2025. An employee in construction in the Peruvian capital earned an average of ******* Peruvian soles per month. Retail and trade, on the other hand, was the economic sector with the lowest monthly salary in Lima.

Graph and download economic data for National income without capital consumption adjustment: Domestic private industries: Construction (N5007C1A027NBEA) from 1998 to 2021 about national income, CCADJ, private industries, construction, domestic, private, income, industry, GDP, and USA.

This statistic shows the impact of the biopharmaceutical industry on personal income in the United States in 2022. In that year, the direct effect of the U.S. biopharmaceutical industry on labor income was some 166 billion U.S. dollars.

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

Business financial data provides sales, purchases, salaries and wages, and operating profit estimates for most market industries in New Zealand, and information on stocks for selected industries. This collection uses a combination of survey, tax, and other administrative data.