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.

Israel IL: GDP: % of Manufacturing: Other Manufacturing data was reported at 45.759 % in 2014. This records an increase from the previous number of 43.303 % for 2013. Israel IL: GDP: % of Manufacturing: Other Manufacturing data is updated yearly, averaging 50.026 % from Dec 1963 (Median) to 2014, with 52 observations. The data reached an all-time high of 60.257 % in 1985 and a record low of 38.757 % in 2009. Israel IL: GDP: % of Manufacturing: Other Manufacturing 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. Other manufacturing, a residual, covers wood and related products (ISIC division 20), paper and related products (ISIC divisions 21 and 22), petroleum and related products (ISIC division 23), basic metals and mineral products (ISIC division27), fabricated metal products and professional goods (ISIC division 28), and other industries (ISIC divisions 25, 26, 31, 33, 36, and 37). Includes unallocated data. When data for textiles, machinery, or chemicals are shown as not available, they are included in other manufacturing.; ; United Nations Industrial Development Organization, International Yearbook of Industrial Statistics.; ;

The U.S. manufacturing sector plays a central role in the economy, accounting for 20% of U.S. capital investment, 60% of the nation's exports and 70% of business R&D. Overall, the sector's market size, measured in terms of revenue is worth roughly $6 trillion, making it a major industry to do business with. So which U.S. states are the biggest for manufacturing? This article will explore the nation's top manufacturing states, measured by number of employees, based on MNI's database of 400,000 U.S. manufacturing companies.

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.; ;

Israel IL: GDP: % of Manufacturing: Machinery and Transport Equipment data was reported at 41.081 % in 2014. This records a decrease from the previous number of 42.941 % for 2013. Israel IL: GDP: % of Manufacturing: Machinery and Transport Equipment data is updated yearly, averaging 13.657 % from Dec 1963 (Median) to 2014, with 52 observations. The data reached an all-time high of 42.941 % in 2013 and a record low of 8.559 % in 1994. Israel IL: GDP: % of Manufacturing: Machinery and Transport Equipment 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. Machinery and transport equipment correspond to ISIC divisions 29, 30, 32, 34, and 35.; ; United Nations Industrial Development Organization, International Yearbook of Industrial Statistics.; ;

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.; ;

About this dataset

Context

The dataset presents the mean household income for each of the five quintiles in Industry, IL, 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 16,760, while the mean income for the highest quintile (20% of households with the highest income) is 134,976. This indicates that the top earners earn 8 times compared to the lowest earners.
• *Top 5%: * The mean household income for the wealthiest population (top 5%) is 182,268, which is 135.04% higher compared to the highest quintile, and 1087.52% 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

Israel IL: GDP: % of Manufacturing: Chemicals data was reported at 22.382 % in 2010. This records an increase from the previous number of 18.387 % for 2009. Israel IL: GDP: % of Manufacturing: Chemicals data is updated yearly, averaging 8.560 % from Dec 1963 (Median) to 2010, with 48 observations. The data reached an all-time high of 22.382 % in 2010 and a record low of 6.328 % in 1973. Israel IL: GDP: % of Manufacturing: Chemicals 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. Chemicals correspond to ISIC division 24.; ; United Nations Industrial Development Organization, International Yearbook of Industrial Statistics.; ;

About this dataset

Context

The dataset presents the distribution of median household income among distinct age brackets of householders in Industry. Based on the latest 2019-2023 5-Year Estimates from the American Community Survey, it displays how income varies among householders of different ages in Industry. 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 2023

In terms of income distribution across age cohorts, in Industry, householders within the 45 to 64 years age group have the highest median household income at $83,125, followed by those in the 65 years and over age group with an income of $62,750. Meanwhile householders within the 25 to 44 years age group report the second lowest median household income of $54,375. Notably, householders within the under 25 years age group, had the lowest median household income at $35,000.

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.

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 2023 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 median household income by age. You can refer the same here

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 (52) | Female # 10-14 years (36). 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 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 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

About this dataset

Context

The dataset presents the median household income across different racial categories in Industry. 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 population by race & ethnicity, the population is predominantly White. This particular racial category constitutes the majority, accounting for 97.66% of the total residents in Industry. Notably, the median household income for White households is $61,026. Interestingly, White is both the largest group and the one with the highest median household income, which stands at $61,026.

https://i.neilsberg.com/ch/industry-il-median-household-income-by-race.jpeg" alt="Industry median household income diversity across racial categories">

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 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.
• Median household income: Median household income, adjusting for inflation, presented 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/.

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

[Keywords] Market include Altra, Ingersoll-Rand, Gardner Denver, ABB, Lufkin Industries

The global precision fasteners market is experiencing robust growth, driven by the increasing demand across diverse sectors such as automotive, aerospace, and electronics. The market, estimated at $50 billion in 2025, is projected to exhibit a Compound Annual Growth Rate (CAGR) of 6% from 2025 to 2033, reaching an estimated value of approximately $80 billion by 2033. This growth is fueled by several key factors, including the rising adoption of lightweight materials in automotive manufacturing, the expanding aerospace industry, and the continued growth of the electronics sector, all of which necessitate the use of high-precision fasteners for optimal performance and reliability. Further driving market expansion is the ongoing technological advancements leading to the development of innovative fastener materials and designs, enhancing strength, durability, and efficiency. While challenges such as fluctuating raw material prices and supply chain disruptions exist, the long-term outlook for the precision fasteners market remains positive, driven by ongoing industrialization and technological progress across various end-use industries. The market segmentation reveals a significant contribution from the automotive and aerospace industries, which are major consumers of high-performance, specialized fasteners. Commodity-grade fasteners represent a substantial portion of the market volume, but the special grade fasteners segment is expected to witness faster growth due to its application in technologically advanced products requiring higher precision and reliability. Geographically, North America and Europe currently hold significant market shares, but the Asia-Pacific region, particularly China and India, is poised for substantial growth owing to their rapidly expanding manufacturing sectors and increasing infrastructure development. Key players in this market, including Illinois Tool Works, SFS Group, and others, are continuously innovating and expanding their product portfolios to cater to evolving industry demands, further fueling market competition and growth.

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(7.92%) households where the householder is under 25 years old, 67(33.17%) households with a householder aged between 25 and 44 years, 58(28.71%) households with a householder aged between 45 and 64 years, and 61(30.20%) 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) 2017-2021 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

Subscribers can find out export and import data of 23 countries by HS code or product’s name. This demo is helpful for market analysis.

The global industrial machinery market, valued at $668.7 million in 2025, is projected to experience robust growth, exhibiting a Compound Annual Growth Rate (CAGR) of 3.4% from 2025 to 2033. This expansion is driven by several key factors. Firstly, increasing automation across diverse sectors like manufacturing, construction, and agriculture fuels demand for sophisticated machinery. Secondly, the global infrastructure development boom, particularly in emerging economies, necessitates heavy investment in construction and mining equipment. Thirdly, the ongoing shift towards sustainable practices is fostering the adoption of energy-efficient and environmentally friendly industrial machinery. Finally, technological advancements, including the integration of artificial intelligence (AI) and the Internet of Things (IoT) in industrial machinery, are enhancing productivity and operational efficiency, further driving market growth. The market is segmented by type, encompassing diverse machinery categories such as agriculture & food machinery, construction equipment, and power & energy equipment, each contributing significantly to the overall market value. Similarly, applications span various sectors, including manufacturing (automotive, pharmaceuticals, chemicals), construction, agriculture, and power generation, highlighting the widespread utilization of industrial machinery across industries. The regional distribution of the market demonstrates significant presence in North America and Europe, driven by established industrial bases and high technological adoption rates. However, Asia-Pacific is anticipated to witness considerable growth in the forecast period due to rapid industrialization and expanding infrastructure projects within countries like China and India. While challenges like fluctuating raw material prices and economic volatility may pose some restraints, the overall market outlook remains positive, with continuous technological innovation and increasing global industrial activity expected to propel its expansion in the coming years. The presence of established players such as AO Smith Corp, Lincoln Electric Holdings, and others, along with emerging competitors, indicates a competitive landscape with continuous product development and market penetration strategies. The robust growth trajectory indicates substantial opportunities for investment and growth within the industrial machinery sector. This in-depth report provides a comprehensive analysis of the global industrial machinery market, projecting a market value exceeding $2.5 trillion by 2030. It delves into key segments, regional dynamics, emerging trends, and the competitive landscape, offering valuable insights for industry stakeholders, investors, and researchers. The report leverages extensive primary and secondary research, incorporating data from leading industry players and credible market intelligence sources. Keywords: Industrial Machinery Market Size, Industrial Machinery Market Growth, Industrial Machinery Market Trends, Industrial Machinery Manufacturers, Industrial Automation, Industrial Equipment, Heavy Machinery Market, Manufacturing Equipment Market.

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The alcohol wipes market size has the potential to grow by USD 513.73 million during 2021-2025, and the market’s growth momentum will accelerate at a CAGR of 6.25%.

This report provides a detailed analysis of the market by product (sensitive sanitizing and soft sanitizing), geography (APAC, Europe, MEA, North America, and South America), and key vendors.

Market Overview

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Market Competitive Analysis

The report analyzes the market’s competitive landscape and offers information on several market vendors, including:

Cardinal Health Inc. GOJO Industries Inc. Honeywell International Inc. Illinois Tool Works Inc. McKesson Corp. Medline Industries Inc. Pal International Ltd. Robinson Healthcare Ltd. The Clorox Co. Unilever Group

The alcohol wipes market is fragmented and the vendors are deploying growth strategies such as offering industry-specific alcohol wipes to compete in the market. Click here to uncover other successful business strategies deployed by the vendors.

The market players also significantly leverage external market drivers such as the increasing use of alcohol wipes for sanitizing medical equipment and devices to achieve growth opportunities. However, factors such as the availability of substitutes will challenge the growth of the market participants. To make the most of the opportunities and recover from post COVID-19 impact, market vendors should focus more on the growth prospects in the fast-growing segments, while maintaining their positions in the slow-growing segments.

Download a free sample of the alcohol wipes market forecast report for insights on complete key vendor profiles. The profiles include information on the production, sustainability, and prospects of the leading companies.

This alcohol wipes market analysis report also provides detailed information on the upcoming trends and challenges that will influence market growth. This will help companies create strategies to make the most of future growth opportunities.

Alcohol Wipes Market: Key Drivers and Trends

The increasing use of alcohol wipes for sanitizing medical equipment and devices will be one of the major factors fueling alcohol wipes market growth during the forecast period. Various equipment and devices used by the healthcare industry need to be disinfected to prevent the spread of viruses and infection on reuse. Alcohol wipes containing high concentration alcohol and purified water are widely used for infections. These alcohol wipes provide protection against bacteria, viruses, and fungi and the presence of purified water prevents the growth of pathogenic microorganisms on the infected skin. Because of these benefits, there is an increase in demand for alcohol wipes from the healthcare industry for sanitizing medical equipment and devices.

The widespread use of alcohol wipes for household cleansing applications will fuel the growth of the alcohol wipes market size. The benefits of alcohol wipes in providing protection from bacteria, viruses, and fungi have resulted in an increased adoption among consumers for cleaning household items. Alcohol wipes are extensively used for removing stains from mirrors, sink, floors, and electronic devices and gadgets. They are also used in removing grease. The alcohol used in the wipes evaporates quickly after the use leaving the surface dry which adds to their benefits. The rising awareness of alcohol wipes and their benefits will increase the demand for these wipes, during the forecast period.

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Alcohol Wipes Market: Segmentation by Geography

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45% of the market’s growth will originate from North America during the forecast period. The US is a key market for alcohol wipes in North America. Market growth in this region will be faster than the growth of the market in Europe, MEA, and South America.

The increasing awareness to prevent infections from spreading is one of the prime factors that will facilitate the alcohol wipes market growth in North America over the forecast period. To garner further competitive intelligence and regional opportunities in store for vendors, view our sample report.

Alcohol Wipes Market: Segmentation by Product

Request for a FREE sample and Get more information on the market contribution of various segments

Sensitive sanitizing alcohol wipes contain standards to the high concentration of alcohol. The alcohol concentration in these wipes ranges from 70% to 99%, depending upon the application type. These wipes eliminate microorganisms such as yeast, bacteria, and viruses without leaving any residue. The use of

This dataset contains replication files for "The Fading American Dream: Trends in Absolute Income Mobility Since 1940" by Raj Chetty, David Grusky, Maximilian Hell, Nathaniel Hendren, Robert Manduca, and Jimmy Narang. For more information, see https://opportunityinsights.org/paper/the-fading-american-dream/. A summary of the related publication follows. One of the defining features of the “American Dream” is the ideal that children have a higher standard of living than their parents. We assess whether the U.S. is living up to this ideal by estimating rates of “absolute income mobility” – the fraction of children who earn more than their parents – since 1940. We measure absolute mobility by comparing children’s household incomes at age 30 (adjusted for inflation using the Consumer Price Index) with their parents’ household incomes at age 30. We find that rates of absolute mobility have fallen from approximately 90% for children born in 1940 to 50% for children born in the 1980s. Absolute income mobility has fallen across the entire income distribution, with the largest declines for families in the middle class. These findings are unaffected by using alternative price indices to adjust for inflation, accounting for taxes and transfers, measuring income at later ages, and adjusting for changes in household size. Absolute mobility fell in all 50 states, although the rate of decline varied, with the largest declines concentrated in states in the industrial Midwest, such as Michigan and Illinois. The decline in absolute mobility is especially steep – from 95% for children born in 1940 to 41% for children born in 1984 – when we compare the sons’ earnings to their fathers’ earnings. Why have rates of upward income mobility fallen so sharply over the past half-century? There have been two important trends that have affected the incomes of children born in the 1980s relative to those born in the 1940s and 1950s: lower Gross Domestic Product (GDP) growth rates and greater inequality in the distribution of growth. We find that most of the decline in absolute mobility is driven by the more unequal distribution of economic growth rather than the slowdown in aggregate growth rates. When we simulate an economy that restores GDP growth to the levels experienced in the 1940s and 1950s but distributes that growth across income groups as it is distributed today, absolute mobility only increases to 62%. In contrast, maintaining GDP at its current level but distributing it more broadly across income groups – at it was distributed for children born in the 1940s – would increase absolute mobility to 80%, thereby reversing more than two-thirds of the decline in absolute mobility. These findings show that higher growth rates alone are insufficient to restore absolute mobility to the levels experienced in mid-century America. Under the current distribution of GDP, we would need real GDP growth rates above 6% per year to return to rates of absolute mobility in the 1940s. Intuitively, because a large fraction of GDP goes to a small fraction of high-income households today, higher GDP growth does not substantially increase the number of children who earn more than their parents. Of course, this does not mean that GDP growth does not matter: changing the distribution of growth naturally has smaller effects on absolute mobility when there is very little growth to be distributed. The key point is that increasing absolute mobility substantially would require more broad-based economic growth. We conclude that absolute mobility has declined sharply in America over the past half-century primarily because of the growth in inequality. If one wants to revive the “American Dream” of high rates of absolute mobility, one must have an interest in growth that is shared more broadly across the income distribution.