In 2023, the manufacturing industry added 107 billion chained 2017 U.S. dollars of value to the gross domestic product of Illinois. The most lucrative industry in Illinois was the finance, insurance, real estate, rental, and leasing industry which contributed a value of 185.39 billion chained 2017 U.S. dollars of value to the state's GDP in 2023.

In 2023, about 1.23 million people worked in the trade, transportation, and utilities industry in Illinois -- the most out of any industry. The third-biggest employer in the state was the professional and business services industry, employing a further 950,000 people.

Israel IL: GDP: % of Manufacturing: Food, Beverages and Tobacco data was reported at 11.217 % in 2014. This records a decrease from the previous number of 11.725 % for 2013. Israel IL: GDP: % of Manufacturing: Food, Beverages and Tobacco data is updated yearly, averaging 12.346 % from Dec 1963 (Median) to 2014, with 52 observations. The data reached an all-time high of 20.725 % in 1967 and a record low of 10.447 % in 2007. Israel IL: GDP: % of Manufacturing: Food, Beverages and Tobacco data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Israel – Table IL.World Bank: Gross Domestic Product: Share of GDP. Value added in manufacturing is the sum of gross output less the value of intermediate inputs used in production for industries classified in ISIC major division D. Food, beverages, and tobacco correspond to ISIC divisions 15 and 16.; ; United Nations Industrial Development Organization, International Yearbook of Industrial Statistics.; ;

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. 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, the median income for all workers aged 15 years and older, regardless of work hours, was $49,250 for males and $30,156 for females.

These income figures highlight a substantial gender-based income gap in Industry. 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 village of Industry.

- Full-time workers, aged 15 years and older: In Industry, among full-time, year-round workers aged 15 years and older, males earned a median income of $50,982, while females earned $40,536, 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.

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

This statistic shows the revenue of the industry “wood kitchen cabinet and countertop manufacturing“ in Illinois from 2012 to 2017, with a forecast to 2024. It is projected that the revenue of wood kitchen cabinet and countertop manufacturing in Illinois will amount to approximately 453,6 million U.S. Dollars by 2024.

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 16(6.32%) households where the householder is under 25 years old, 111(43.87%) households with a householder aged between 25 and 44 years, 69(27.27%) households with a householder aged between 45 and 64 years, and 57(22.53%) households where the householder is over 65 years old.
• The age group of 45 to 64 years exhibits the highest median household income, while the largest number of households falls within the 25 to 44 years bracket. This distribution hints at economic disparities within the village 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 Total Gross Domestic Product for St. Louis, MO-IL (MSA) (NGMP41180) from 2001 to 2023 about St. Louis, IL, MO, industry, GDP, and USA.

Israel IL: GDP: % of Manufacturing: Textiles and Clothing data was reported at 1.942 % in 2014. This records a decrease from the previous number of 2.030 % for 2013. Israel IL: GDP: % of Manufacturing: Textiles and Clothing data is updated yearly, averaging 8.601 % from Dec 1963 (Median) to 2014, with 52 observations. The data reached an all-time high of 15.465 % in 1965 and a record low of 1.942 % in 2014. Israel IL: GDP: % of Manufacturing: Textiles and Clothing data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Israel – Table IL.World Bank: Gross Domestic Product: Share of GDP. Value added in manufacturing is the sum of gross output less the value of intermediate inputs used in production for industries classified in ISIC major division D. Textiles and clothing correspond to ISIC divisions 17-19.; ; United Nations Industrial Development Organization, International Yearbook of Industrial Statistics.; ;

This statistic shows the revenue of the industry “grocery stores“ in Illinois by segment from 2012 to 2017, with a forecast to 2024. It is projected that the revenue of grocery stores in Illinois will amount to approximately 25,3 billion U.S. Dollars by 2024.

About this dataset

Context

The dataset tabulates the population of Industry by gender, including both male and female populations. This dataset can be utilized to understand the population distribution of Industry across both sexes and to determine which sex constitutes the majority.

Key observations

There is a slight majority of male population, with 50.24% of total population being male. 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.

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. No further analysis is done on the data reported from the Census Bureau.

Variables / Data Columns

• Gender: This column displays the Gender (Male / Female)
• Population: The population of the gender in the Industry is shown in this column.
• % of Total Population: This column displays the percentage distribution of each gender as a proportion of Industry 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 Population by Race & Ethnicity. You can refer the same here

About this dataset

Context

The dataset tabulates the Industry 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. The dataset can be utilized to understand the population distribution of Industry by age. For example, using this dataset, we can identify the largest age group in Industry.

Key observations

The largest age group in Industry, IL was for the group of age 10 to 14 years years with a population of 88 (13.90%), according to the ACS 2019-2023 5-Year Estimates. At the same time, the smallest age group in Industry, IL was the 80 to 84 years years with a population of 8 (1.26%). 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 is shown in this column.
• % of Total Population: This column displays the population of each age group as a proportion of Industry 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 Population by Age. You can refer the same here

The global glass manufacturing market is experiencing robust growth, driven by increasing demand across diverse sectors. While precise figures for market size and CAGR weren't explicitly provided, based on industry reports and observed trends, a reasonable estimation suggests a 2025 market size of approximately $150 billion, exhibiting a Compound Annual Growth Rate (CAGR) of around 5% from 2025 to 2033. This expansion is fueled by several key factors. The construction industry, a major consumer of flat glass, is experiencing significant growth globally, particularly in developing economies. Simultaneously, the burgeoning electronics and telecommunications sectors are driving demand for specialized glass types used in displays, smartphones, and fiber optics. The packaging industry's continued reliance on container glass, alongside advancements in fiberglass for automotive and infrastructure applications, further contribute to the market's expansion. However, the market also faces certain challenges. Fluctuations in raw material prices, particularly silica sand and soda ash, can impact production costs and profitability. Environmental regulations concerning glass production and waste management are also becoming increasingly stringent, potentially increasing compliance costs for manufacturers. Despite these restraints, technological advancements in glass production, such as improved energy efficiency and the development of new glass compositions with enhanced properties, are expected to mitigate some of these challenges and sustain market growth over the forecast period. The competitive landscape is characterized by both large multinational corporations and regional players, with ongoing consolidation and strategic alliances shaping the market dynamics. This in-depth report provides a comprehensive overview of the global glass manufacturing industry, analyzing market dynamics, key players, emerging trends, and future growth prospects. Valued at an estimated $250 billion in 2023, the market is projected to experience significant expansion driven by factors outlined below. This report is essential for investors, manufacturers, and stakeholders seeking a detailed understanding of this dynamic sector.

The global plastic fasteners market, valued at $5.52 billion in 2025, is projected to experience robust growth, driven by the increasing demand across diverse end-use sectors. A Compound Annual Growth Rate (CAGR) of 4.5% is anticipated from 2025 to 2033, indicating a significant market expansion. This growth is fueled by several key factors. The automotive industry's ongoing reliance on lightweight and durable components is a major driver, alongside the burgeoning electronics and electrical sectors, where plastic fasteners offer crucial insulation and ease of assembly. Furthermore, the construction industry's adoption of plastic fasteners for their corrosion resistance and cost-effectiveness contributes significantly to market expansion. The rise of supermarkets and retail chains further fuels demand, as they utilize plastic fasteners extensively in packaging and display solutions. While challenges exist, such as fluctuating raw material prices and environmental concerns regarding plastic waste, innovative solutions like biodegradable plastic fasteners and improved recycling initiatives are expected to mitigate these restraints. Geographical expansion, particularly in rapidly developing economies of APAC, presents significant opportunities for market players. The competitive landscape is dynamic, with both established multinational corporations and regional players vying for market share. Companies like Stanley Black & Decker, Illinois Tool Works, and Avery Dennison are key players, leveraging their strong brand recognition and extensive distribution networks. Their competitive strategies focus on innovation, product diversification, and strategic partnerships. However, maintaining a competitive edge necessitates continuous R&D investment to develop advanced materials and manufacturing processes. The market's future trajectory will depend on factors such as advancements in plastic technology, evolving consumer preferences, and stringent environmental regulations. Successful players will be those who can effectively balance sustainability initiatives with market demands for cost-effective and high-performance solutions.

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

Key observations

• Employment patterns: Within Industry, among individuals aged 15 years and older with income, there were 184 men and 213 women in the workforce. Among them, 105 men were engaged in full-time, year-round employment, while 127 women were in full-time, year-round roles.
• Annual income under $24,999: Of the male population working full-time, 5.71% fell within the income range of under $24,999, while 26.77% of the female population working full-time was represented in the same income bracket.
• Annual income above $100,000: 8.57% of men in full-time roles earned incomes exceeding $100,000, while 1.57% 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 Industry median household income by race. You can refer the same here

This statistic shows the revenue of the industry “metal window and door manufacturing“ in Illinois from 2012 to 2017, with a forecast to 2024. It is projected that the revenue of metal window and door manufacturing in Illinois will amount to approximately 646,2 million U.S. Dollars by 2024.

The Data Analytics in Retail Industry is segmented by Application (Merchandising and Supply Chain Analytics, Social Media Analytics, Customer Analytics, Operational Intelligence, Other Applications), by Business Type (Small and Medium Enterprises, Large-scale Organizations), and Geography. The market size and forecasts are provided in terms of value (USD billion) for all the above segments.

Mcdonald’s Corporation is a public company headquartered in Illinois with an estimated 150,000 employees. In the US, the company has a notable market share in at least three industries: Intellectual Property Licensing, Accommodation and Food Services, Burger Restaurants and Accommodation and Food Services. Their largest market share is in the Intellectual Property Licensing industry, where they account for an estimated 4.0% of total industry revenue and are considered a Rising Star because they display lower market share, but displaying stronger profit and revenue growth than some of their peers.

About this dataset

Context

The dataset tabulates the population of Industry by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for Industry. The dataset can be utilized to understand the population distribution of Industry by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in Industry. 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.

Key observations

Largest age group (population): Male # 10-14 years (48) | Female # 10-14 years (34). Source: U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2018-2022 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 population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Industry is shown in the following column.
• Population (Female): The female population in the Industry 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 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 Population by Gender. You can refer the same here

About this dataset

Context

The dataset presents a breakdown of households across various income brackets in Industry, IL, as reported by the U.S. Census Bureau. The Census Bureau classifies households into different categories, including total households, family households, and non-family households. Our analysis of U.S. Census Bureau American Community Survey data for Industry, IL reveals how household income distribution varies among these categories. The dataset highlights the variation in number of households with income, offering valuable insights into the distribution of Industry households based on income levels.

Key observations

• For Family Households: In Industry, the majority of family households, representing 16.96%, earn $100,000 to $124,999, showcasing a substantial share of the community families falling within this income bracket. Conversely, the minority of family households, comprising 0.0%, have incomes falling $40,000 to $44,999, representing a smaller but still significant segment of the community.
• For Non-Family Households: In Industry, the majority of non-family households, accounting for 18.29%, have income $30,000 to $34,999, indicating that a substantial portion of non-family households falls within this income bracket. On the other hand, the minority of non-family households, comprising 0.0%, earn $40,000 to $44,999, representing a smaller, yet notable, portion of non-family households in the community.

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:

• 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
• $125,000 to $149,999
• $150,000 to $199,999
• $200,000 or more

Variables / Data Columns

• Income Level: The income level represents the income brackets ranging from Less than $10,000 to $200,000 or more in Industry, IL (As mentioned above).
• All Households: Count of households for the specified income level
• % All Households: Percentage of households at the specified income level relative to the total households in Industry, IL
• Family Households: Count of family households for the specified income level
• % Family Households: Percentage of family households at the specified income level relative to the total family households in Industry, IL
• Non-Family Households: Count of non-family households for the specified income level
• % Non-Family Households: Percentage of non-family households at the specified income level relative to the total non-family households in Industry, IL

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

About this dataset

Context

The dataset tabulates the data for the Industry, IL population pyramid, which represents the Industry 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, IL, is 58.9.
• Old-age dependency ratio, which is the number of persons aged 65 or over per 100 persons aged 15-64, for Industry, IL, is 19.4.
• Total dependency ratio for Industry, IL is 78.3.
• Potential support ratio, which is the number of youth (working age population) per elderly, for Industry, IL is 5.1.

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 population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Industry for the selected age group is shown in the following column.
• Population (Female): The female population in the Industry for the selected age group is shown in the following column.
• Total Population: The total population of the Industry 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 Population by Age. You can refer the same here