In 2023, the GDP of Maine amounted to around 75.2 billion U.S. dollars. The finance, insurance, real estate, rental, and leasing industry added the most real value to the gross domestic product of Maine, amounting to around 17.51 billion U.S. dollars. In the same year, the manufacturing industry contributed around 6.81 billion U.S. dollars.

About this dataset

Context

The dataset tabulates the Industry town population over the last 20 plus years. It lists the population for each year, along with the year on year change in population, as well as the change in percentage terms for each year. The dataset can be utilized to understand the population change of Industry town across the last two decades. For example, using this dataset, we can identify if the population is declining or increasing. If there is a change, when the population peaked, or if it is still growing and has not reached its peak. We can also compare the trend with the overall trend of United States population over the same period of time.

Key observations

In 2023, the population of Industry town was 801, a 0.50% increase year-by-year from 2022. Previously, in 2022, Industry town population was 797, an increase of 0.63% compared to a population of 792 in 2021. Over the last 20 plus years, between 2000 and 2023, population of Industry town increased by 16. In this period, the peak population was 928 in the year 2019. The numbers suggest that the population has already reached its peak and is showing a trend of decline. Source: U.S. Census Bureau Population Estimates Program (PEP).

Content

When available, the data consists of estimates from the U.S. Census Bureau Population Estimates Program (PEP).

Data Coverage:

• From 2000 to 2023

Variables / Data Columns

• Year: This column displays the data year (Measured annually and for years 2000 to 2023)
• Population: The population for the specific year for the Industry town is shown in this column.
• Year on Year Change: This column displays the change in Industry town population for each year compared to the previous year.
• Change in Percent: This column displays the year on year change as a percentage. Please note that the sum of all percentages may not equal one due to rounding of values.

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 Population by Year. You can refer the same here

About this dataset

Context

The dataset presents median income data over a decade or more for males and females categorized by Total, Full-Time Year-Round (FT), and Part-Time (PT) employment in Industry town. It showcases annual income, providing insights into gender-specific income distributions and the disparities between full-time and part-time work. The dataset can be utilized to gain insights into gender-based pay disparity trends and explore the variations in income for male and female individuals.

Key observations: Insights from 2023

Based on our analysis ACS 2019-2023 5-Year Estimates, we present the following observations: - All workers, aged 15 years and older: In Industry town, the median income for all workers aged 15 years and older, regardless of work hours, was $50,000 for males and $30,400 for females.

These income figures highlight a substantial gender-based income gap in Industry town. Women, regardless of work hours, earn 61 cents for each dollar earned by men. This significant gender pay gap, approximately 39%, underscores concerning gender-based income inequality in the town of Industry town.

- Full-time workers, aged 15 years and older: In Industry town, among full-time, year-round workers aged 15 years and older, males earned a median income of $57,981, while females earned $46,250, leading to a 20% gender pay gap among full-time workers. This illustrates that women earn 80 cents for each dollar earned by men in full-time roles. This analysis indicates a widening gender pay gap, showing a substantial income disparity where women, despite working full-time, face a more significant wage discrepancy compared to men in the same roles.

Surprisingly, the gender pay gap percentage was higher across all roles, including non-full-time employment, for women compared to men. This suggests that full-time employment offers a more equitable income scenario for women compared to other employment patterns in Industry town.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. All incomes have been adjusting for inflation and are presented in 2023-inflation-adjusted dollars.

Gender classifications include:

• Male
• Female

Employment type classifications include:

• Full-time, year-round: A full-time, year-round worker is a person who worked full time (35 or more hours per week) and 50 or more weeks during the previous calendar year.
• Part-time: A part-time worker is a person who worked less than 35 hours per week during the previous calendar year.

Variables / Data Columns

• Year: This column presents the data year. Expected values are 2010 to 2023
• Male Total Income: Annual median income, for males regardless of work hours
• Male FT Income: Annual median income, for males working full time, year-round
• Male PT Income: Annual median income, for males working part time
• Female Total Income: Annual median income, for females regardless of work hours
• Female FT Income: Annual median income, for females working full time, year-round
• Female PT Income: Annual median income, for females working part time

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Industry town median household income by race. You can refer the same here

Gross Domestic Product: Primary Metal Manufacturing (NAICS 331) in Maine was 45.70000 Mil. of $ in January of 2023, according to the United States Federal Reserve. Historically, Gross Domestic Product: Primary Metal Manufacturing (NAICS 331) in Maine reached a record high of 45.70000 in January of 2023 and a record low of 19.90000 in January of 2017. Trading Economics provides the current actual value, an historical data chart and related indicators for Gross Domestic Product: Primary Metal Manufacturing (NAICS 331) in Maine - last updated from the United States Federal Reserve on September of 2025.

The Major Household Appliance Manufacturing industry in Maine is expected to decline an annualized -x.x% to $x.x million over the five years to 2022, while the national industry will likely decline at -x.x% during the same period. Industry establishments stagnated an annualized x% to x locations. Industry employment has decreased an annualized -x.x% to xxx workers, while industry wages have decreased an annualized -x% to $x.x million.

Graph and download economic data for Gross Domestic Product: Primary Metal Manufacturing (331) in Maine (MEPRIMETMANNGSP) from 1997 to 2024 about primary metals, ME, primary, metals, durable goods, private industries, GSP, goods, private, manufacturing, industry, GDP, and USA.

The Major Label Music Production industry in Maine is expected to decline an annualized -x.x% to $x.x thousand over the five years to 2025, while the national industry will likely grow at x.x% during the same period. Industry establishments stagnated an annualized x% to x locations. Industry employment has increased an annualized x.x% to x workers, while industry wages have increased an annualized x.x% to $x.x thousand.

About this dataset

Context

The dataset tabulates the Industry town population distribution across 18 age groups. It lists the population in each age group along with the percentage population relative of the total population for Industry town. The dataset can be utilized to understand the population distribution of Industry town by age. For example, using this dataset, we can identify the largest age group in Industry town.

Key observations

The largest age group in Industry, Maine was for the group of age 30 to 34 years years with a population of 114 (11.17%), according to the ACS 2019-2023 5-Year Estimates. At the same time, the smallest age group in Industry, Maine was the 80 to 84 years years with a population of 9 (0.88%). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates

Content

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

Age groups:

• Under 5 years
• 5 to 9 years
• 10 to 14 years
• 15 to 19 years
• 20 to 24 years
• 25 to 29 years
• 30 to 34 years
• 35 to 39 years
• 40 to 44 years
• 45 to 49 years
• 50 to 54 years
• 55 to 59 years
• 60 to 64 years
• 65 to 69 years
• 70 to 74 years
• 75 to 79 years
• 80 to 84 years
• 85 years and over

Variables / Data Columns

• Age Group: This column displays the age group in consideration
• Population: The population for the specific age group in the Industry town is shown in this column.
• % of Total Population: This column displays the population of each age group as a proportion of Industry town total population. Please note that the sum of all percentages may not equal one due to rounding of values.

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 Population by Age. You can refer the same here

Real Gross Domestic Product: Primary Metal Manufacturing (NAICS 331) in Maine was 50.80000 Mil. of Chn. 2009 $ in January of 2023, according to the United States Federal Reserve. Historically, Real Gross Domestic Product: Primary Metal Manufacturing (NAICS 331) in Maine reached a record high of 50.80000 in January of 2023 and a record low of 15.70000 in January of 2006. Trading Economics provides the current actual value, an historical data chart and related indicators for Real Gross Domestic Product: Primary Metal Manufacturing (NAICS 331) in Maine - last updated from the United States Federal Reserve on September of 2025.

Graph and download economic data for Real Gross Domestic Product: Primary Metal Manufacturing (331) in Maine (MEPRIMETMANRGSP) from 1997 to 2023 about primary metals, ME, primary, metals, GSP, durable goods, private industries, goods, private, manufacturing, real, industry, GDP, and USA.

Graph and download economic data for Chain-Type Quantity Index for Real GDP: Primary Metal Manufacturing (331) in Maine (MEPRIMETMANQGSP) from 1997 to 2024 about primary metals, ME, quantity index, primary, metals, durable goods, GSP, private industries, goods, private, manufacturing, industry, GDP, and USA.

About this dataset

Context

The dataset tabulates the population of Industry town by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for Industry town. The dataset can be utilized to understand the population distribution of Industry town by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in Industry town. Additionally, it can be used to see how the gender ratio changes from birth to senior most age group and male to female ratio across each age group for Industry town.

Key observations

Largest age group (population): Male # 30-34 years (72) | Female # 0-4 years (80). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Content

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

Age groups:

• Under 5 years
• 5 to 9 years
• 10 to 14 years
• 15 to 19 years
• 20 to 24 years
• 25 to 29 years
• 30 to 34 years
• 35 to 39 years
• 40 to 44 years
• 45 to 49 years
• 50 to 54 years
• 55 to 59 years
• 60 to 64 years
• 65 to 69 years
• 70 to 74 years
• 75 to 79 years
• 80 to 84 years
• 85 years and over

Scope of gender :

Please note that American Community Survey asks a question about the respondents current sex, but not about gender, sexual orientation, or sex at birth. The question is intended to capture data for biological sex, not gender. Respondents are supposed to respond with the answer as either of Male or Female. Our research and this dataset mirrors the data reported as Male and Female for gender distribution analysis.

Variables / Data Columns

• Age Group: This column displays the age group for the Industry town population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Industry town is shown in the following column.
• Population (Female): The female population in the Industry town is shown in the following column.
• Gender Ratio: Also known as the sex ratio, this column displays the number of males per 100 females in Industry town for each age group.

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 Population by Gender. You can refer the same here

The Primary Care Doctors industry in Maine is expected to grow an annualized x.x% to $x.x billion over the five years to 2025, while the national industry will likely grow at x.x% during the same period. Industry establishments decreased an annualized -x% to xxx locations. Industry employment has decreased an annualized -x.x% to x,xxx workers, while industry wages have decreased an annualized -x.x% to $x.x million.

About this dataset

Context

The dataset presents the median household income across different racial categories in Industry town. 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 Industry town population by race & ethnicity, the population is predominantly White. This particular racial category constitutes the majority, accounting for 93.44% of the total residents in Industry town. Notably, the median household income for White households is $63,125. Interestingly, White is both the largest group and the one with the highest median household income, which stands at $63,125.

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

The global poultry and eggs market is a substantial and dynamic sector, exhibiting robust growth driven by increasing global population, rising disposable incomes, and shifting dietary preferences towards protein-rich foods. The market's expansion is further fueled by advancements in poultry farming technologies, leading to improved efficiency and increased production. While challenges exist, such as fluctuations in feed prices and concerns regarding animal welfare and disease outbreaks, these are largely mitigated by ongoing innovation in disease prevention and sustainable farming practices. The market is segmented by various factors including poultry type (chicken, turkey, duck, etc.), egg type (table eggs, hatching eggs), and geographical regions, each exhibiting unique growth trajectories. Major players, including Cal-Maine Foods, Tyson Foods, and others listed, are actively involved in consolidating market share through mergers, acquisitions, and strategic partnerships, leading to increased competitiveness and consolidation within the industry. Future growth will likely be shaped by consumer demand for organic and free-range products, alongside increasing emphasis on traceability and food safety standards. The forecast period (2025-2033) anticipates continued expansion of the poultry and eggs market, driven by sustained global population growth and urbanization. Emerging economies are particularly promising, given the rising demand for affordable protein sources. However, regional variations are expected due to differing economic conditions, dietary habits, and regulatory frameworks. Companies are likely to focus on innovation to meet evolving consumer preferences, including developing value-added products like ready-to-eat meals and processed poultry items. Sustainable and environmentally friendly practices will gain increasing prominence as consumers and regulators place a higher premium on ethical and responsible sourcing. Therefore, successful market participation will hinge on agility, responsiveness to consumer trends, and a commitment to sustainable production methods.

About this dataset

Context

The dataset illustrates the median household income in Industry town, spanning the years from 2010 to 2023, with all figures adjusted to 2023 inflation-adjusted dollars. Based on the latest 2019-2023 5-Year Estimates from the American Community Survey, it displays how income varied over the last decade. The dataset can be utilized to gain insights into median household income trends and explore income variations.

Key observations:

From 2010 to 2023, the median household income for Industry town increased by $2,735 (4.82%), as per the American Community Survey estimates. In comparison, median household income for the United States increased by $5,602 (7.68%) between 2010 and 2023.

Analyzing the trend in median household income between the years 2010 and 2023, spanning 13 annual cycles, we observed that median household income, when adjusted for 2023 inflation using the Consumer Price Index retroactive series (R-CPI-U-RS), experienced growth year by year for 6 years and declined for 7 years.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. All incomes have been adjusting for inflation and are presented in 2022-inflation-adjusted dollars.

Years for which data is available:

• 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022, 0223

Variables / Data Columns

• Year: This column presents the data year from 2010 to 2023
• Median Household Income: Median household income, in 2023 inflation-adjusted dollars for the specific year
• YOY Change($): Change in median household income between the current and the previous year, in 2023 inflation-adjusted dollars
• YOY Change(%): Percent change in median household income between current and the previous 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 Industry town median household income. You can refer the same here

In the current period, the US egg industry has experienced revenue growth primarily driven by historically high egg prices, a direct consequence of recurrent HPAI outbreaks. These outbreaks have been the most disruptive force over the past five years, leading to significant flock reductions and persistent supply shortages. As millions of hens have been culled due to disease, the scarcity has caused retail egg prices to soar, with some months seeing prices more than double year-over-year. This price surge has helped offset revenue losses from flock reductions but increased input costs for some producers; the overall uneven impact has prompted an industry-wide shift towards improved biosecurity measures and contingency planning to mitigate future risks and maintain current price levels. Overall, revenue has climbed at a CAGR of 15.5% to an estimated $19.8 billion after a decrease of 4.4% in 2025. Trade dynamics and input costs are significantly challenging profit, despite rising egg prices. The US has increased imports to make up for domestic shortages, sourcing eggs from countries less affected by HPAI, like Mexico. However, new tariffs on imports and critical feed ingredients stand to raise costs for US egg producers, diminishing competitiveness abroad and driving higher domestic prices. Retaliatory tariffs, especially from Canada, and increased costs for foreign-manufactured equipment have further strained profit. While elevated egg prices have provided some revenue relief, high input costs, especially for feed, have suppressed overall profit levels across the industry. Looking ahead, the outlook for the US egg industry will be driven by steady production growth and price normalization. With the expected recovery from disease shocks and ongoing investments in capacity expansion, output is projected to rise through 2030, matching climbing per capita egg consumption. As supply stabilizes, egg prices will drop sharply from recent peaks to near pre-HPAI levels by 2026. Consequently, revenue is forecast to decline at a CAGR of 6.0% to reach $14.5 billion in 2030. Nevertheless, specialty eggs like organic and cage-free are expected to maintain stronger margins due to regulatory mandates and evolving consumer preferences. Producers are increasingly investing in operational efficiency initiatives, supported by emerging livestock-care technologies and methods and lower borrowing costs, as they prepare for a more competitive pricing environment while preserving sustainable growth.

About this dataset

Context

The dataset tabulates the population of Industry town by race. It includes the population of Industry town across racial categories (excluding ethnicity) as identified by the Census Bureau. The dataset can be utilized to understand the population distribution of Industry town across relevant racial categories.

Key observations

The percent distribution of Industry town population by race (across all racial categories recognized by the U.S. Census Bureau): 93.44% are white, 0.49% are Black or African American, 0.20% are some other race and 5.88% are multiracial.

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: This column displays the racial categories (excluding ethnicity) for the Industry town
• Population: The population of the racial category (excluding ethnicity) in the Industry town is shown in this column.
• % of Total Population: This column displays the percentage distribution of each race as a proportion of Industry town total population. Please note that the sum of all percentages may not equal one due to rounding of values.

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 Population by Race & Ethnicity. You can refer the same here

About this dataset

Context

The dataset tabulates the data for the Industry, Maine population pyramid, which represents the Industry town population distribution across age and gender, using estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. It lists the male and female population for each age group, along with the total population for those age groups. Higher numbers at the bottom of the table suggest population growth, whereas higher numbers at the top indicate declining birth rates. Furthermore, the dataset can be utilized to understand the youth dependency ratio, old-age dependency ratio, total dependency ratio, and potential support ratio.

Key observations

• Youth dependency ratio, which is the number of children aged 0-14 per 100 persons aged 15-64, for Industry, Maine, is 41.7.
• Old-age dependency ratio, which is the number of persons aged 65 or over per 100 persons aged 15-64, for Industry, Maine, is 37.1.
• Total dependency ratio for Industry, Maine is 78.8.
• Potential support ratio, which is the number of youth (working age population) per elderly, for Industry, Maine is 2.7.

Content

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

Age groups:

• Under 5 years
• 5 to 9 years
• 10 to 14 years
• 15 to 19 years
• 20 to 24 years
• 25 to 29 years
• 30 to 34 years
• 35 to 39 years
• 40 to 44 years
• 45 to 49 years
• 50 to 54 years
• 55 to 59 years
• 60 to 64 years
• 65 to 69 years
• 70 to 74 years
• 75 to 79 years
• 80 to 84 years
• 85 years and over

Variables / Data Columns

• Age Group: This column displays the age group for the Industry town population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Industry town for the selected age group is shown in the following column.
• Population (Female): The female population in the Industry town for the selected age group is shown in the following column.
• Total Population: The total population of the Industry town for the selected age group is shown in the following column.

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 Population by Age. You can refer the same here

About this dataset

Context

The dataset presents the distribution of median household income among distinct age brackets of householders in Industry town. Based on the latest 2018-2022 5-Year Estimates from the American Community Survey, it displays how income varies among householders of different ages in Industry town. It showcases how household incomes typically rise as the head of the household gets older. The dataset can be utilized to gain insights into age-based household income trends and explore the variations in incomes across households.

Key observations: Insights from 2022

In terms of income distribution across age cohorts, in Industry town, the median household income stands at $71,152 for householders within the 45 to 64 years age group, followed by $61,173 for the 65 years and over age group. Notably, householders within the 25 to 44 years age group, had the lowest median household income at $51,446.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates. All incomes have been adjusting for inflation and are presented in 2023-inflation-adjusted dollars.

Age groups classifications include:

• Under 25 years
• 25 to 44 years
• 45 to 64 years
• 65 years and over

Variables / Data Columns

• Age Of The Head Of Household: This column presents the age of the head of household
• Median Household Income: Median household income, in 2022 inflation-adjusted dollars for the specific age group

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 by age. You can refer the same here