In June 2025, approximately 13 percent of workers in Great Britain worked from home exclusively, with a further 26 percent working from home and travelling to work, while 44 percent only travelled to work. During this time period, the share of people only travelling to work was highest in March 2022, at 60 percent of respondents, with the peak for only working from home occurring in June 2020. In general, hybrid working has become steadily more popular than fully remote working, with the highest share of people hybrid working in November 2023, when 31 percent of people advising they were hybrid working. What type of workers are most likely to work from home? In 2020, over half of people working in the agriculture sector mainly worked from home, which was the highest share among UK industry sectors at that time. While this industry was one of the most accessible for mainly working at home, just 6 percent of workers in the accommodation and food services sector mainly did this, the lowest of any sector. In the same year, men were slightly more likely to mainly work from home than women, while the most common age group for mainly working from home was those aged 75 and over, at 45.4 percent. Over a long-term period, the share of people primarily home working has grown from 11.1 percent in 1998, to approximately 17.4 percent in 2020. Growth of Flexible working in the UK According to a survey conducted in 2023, working from home either on a regular, or ad-hoc basis was the most common type of flexible working arrangement offered by organizations in the UK, at 62 percent of respondents. Other popular flexible working arrangements include the ability to work flexible hours, work part-time, or take career breaks. Since 2013, for example, the number of employees in the UK that can work flextime has increased from 3.2 million, to around 4.2 million by 2024. When asked why flexible work was important to them, most UK workers said that it supported a better work-life balance, with 41 percent expressing that it made their commute to work more manageable.

As of February 2025, 5.56 billion individuals worldwide were internet users, which amounted to 67.9 percent of the global population. Of this total, 5.24 billion, or 63.9 percent of the world's population, were social media users. Global internet usage Connecting billions of people worldwide, the internet is a core pillar of the modern information society. Northern Europe ranked first among worldwide regions by the share of the population using the internet in 20254. In The Netherlands, Norway and Saudi Arabia, 99 percent of the population used the internet as of February 2025. North Korea was at the opposite end of the spectrum, with virtually no internet usage penetration among the general population, ranking last worldwide. Eastern Asia was home to the largest number of online users worldwide – over 1.34 billion at the latest count. Southern Asia ranked second, with around 1.2 billion internet users. China, India, and the United States rank ahead of other countries worldwide by the number of internet users. Worldwide internet user demographics As of 2024, the share of female internet users worldwide was 65 percent, five percent less than that of men. Gender disparity in internet usage was bigger in African countries, with around a ten percent difference. Worldwide regions, like the Commonwealth of Independent States and Europe, showed a smaller usage gap between these two genders. As of 2024, global internet usage was higher among individuals between 15 and 24 years old across all regions, with young people in Europe representing the most significant usage penetration, 98 percent. In comparison, the worldwide average for the age group 15–24 years was 79 percent. The income level of the countries was also an essential factor for internet access, as 93 percent of the population of the countries with high income reportedly used the internet, as opposed to only 27 percent of the low-income markets.

About this dataset

Context

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

Key observations

The largest age group in Prairie Home, MO was for the group of age 65 to 69 years years with a population of 41 (19.16%), according to the ACS 2019-2023 5-Year Estimates. At the same time, the smallest age group in Prairie Home, MO was the 80 to 84 years years with a population of 2 (0.93%). 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 Prairie Home is shown in this column.
• % of Total Population: This column displays the population of each age group as a proportion of Prairie Home 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 Prairie Home Population by Age. You can refer the same here

In 2020, approximately *** million people worked mainly from home in the United Kingdom, an increase of around **** million people when compared with 1998, when just *** million workers mainly worked from home. As a share of all workers in the United Kingdom, this was the equivalent of **** percent of the UK workforce, compared with **** percent in 1998. Rise of the hybrid workforce More recent figures on working location trends in Great Britain, indicate that as of June 2025, around ** percent of workers had worked from home exclusively in the last seven days, with a further ** percent only travelling to work. Just over a ******* of British workers, however, had both worked from home and traveled to work in the last seven days. Although less common than only travelling to work, hybrid working has generally been more popular than only working at home since around Spring 2022 and is possibly one of the most enduring impacts that COVID-19 had on the labor market. Demographics of homeworkers While advancements in internet connectivity and communication software have enabled more people to work from home than ever before, there are still obvious disparities in the share of homeworkers by industry. Over **** of the UK’s agriculture workforce in 2020 regularly worked from home, compared with just *** percent of those that worked in accommodation or food service. In the same year, the region with the highest share of people working from home was South West England at **** percent, while Northern Ireland had the lowest at just *** percent.

About this dataset

Context

The dataset tabulates the New Home population by age cohorts (Children: Under 18 years; Working population: 18-64 years; Senior population: 65 years or more). It lists the population in each age cohort group along with its percentage relative to the total population of New Home. The dataset can be utilized to understand the population distribution across children, working population and senior population for dependency ratio, housing requirements, ageing, migration patterns etc.

Key observations

The largest age group was 18 to 64 years with a poulation of 210 (59.15% of the total population). 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 cohorts:

• Under 18 years
• 18 to 64 years
• 65 years and over

Variables / Data Columns

• Age Group: This column displays the age cohort for the New Home population analysis. Total expected values are 3 groups ( Children, Working Population and Senior Population).
• Population: The population for the age cohort in New Home is shown in the following column.
• Percent of Total Population: The population as a percent of total population of the New Home 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 New Home Population by Age. You can refer the same here

About this dataset

Context

The dataset tabulates the Sweet Home population by age cohorts (Children: Under 18 years; Working population: 18-64 years; Senior population: 65 years or more). It lists the population in each age cohort group along with its percentage relative to the total population of Sweet Home. The dataset can be utilized to understand the population distribution across children, working population and senior population for dependency ratio, housing requirements, ageing, migration patterns etc.

Key observations

The largest age group was 18 to 64 years with a poulation of 6,244 (62.58% of the total population). 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 cohorts:

• Under 18 years
• 18 to 64 years
• 65 years and over

Variables / Data Columns

• Age Group: This column displays the age cohort for the Sweet Home population analysis. Total expected values are 3 groups ( Children, Working Population and Senior Population).
• Population: The population for the age cohort in Sweet Home is shown in the following column.
• Percent of Total Population: The population as a percent of total population of the Sweet Home 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 Sweet Home Population by Age. You can refer the same here

As per Cognitive Market Research's latest published report, the Global Flexible Office market size will be $96,763.78 Million by 2030. The flexible Office Industry's Compound Annual Growth Rate will be 15.05% from 2023 to 2030.

Asia Pacific Flexible Office market size will be USD 36,218.68 Million by 2028. What is Driving Flexible Office Industry Growth?

Surge in the number of start-ups globally

Start-up is a young company that has developed unique business with an aim to make an instant impact on the market. Now-a-days many start-ups are growing especially in tech industry, launching new products and services. Technological advancements are creating more and more innovative ideas. Studies has shown that growth in start-up funding worldwide between 2012 and 2017, by industry is significant. The value of funding for block chain start-ups grew by 1,321 percent between 2012 and 2017.

Many entrepreneurs are starting new business, as they are seeing new market opportunities. More entrepreneurs are starting businesses now because they want to, not because they have to. Immigrants are more likely to be entrepreneurs: In fact, immigrants are almost twice as likely as native-born Americans to become entrepreneurs. 28.5 percent of all new entrepreneurs are immigrants in the 2015 Index, compared to 13.3 percent in the 1997 Index.

In developing countries, start-ups are growing at pace as resources of starting a start-up is getting more and more affordable. However, in the beginning of any start-up there is lot of uncertainty and have high rates of failure. Hence, rather than to invest their capital on land and other infrastructure facilities, people prefer to rent an office so that they can use land and other facilities at minimum expenses.

Hence, surging number of start-ups enhances the demand of flexible offices thereby boosting the growth of market.

Restraints for Flexible Office Market

Volatility at coworking space.(Access Detailed Analysis in the Full Report Version)

Opportunities for Flexible Office Market

Rising trend for coworking.(Access Detailed Analysis in the Full Report Version)

What is Flexible Office?

Flexible office pace is type of workspace which is designed for employees to increase their productivity in work. The employees are offered varied different spaces and ways to work without any restriction of timing. Flexible working is a term used to describe any working pattern that falls outside of traditional office hours or locations. That can mean working in different spots around the same office, working from home or at a remote desk, or working part-time or staggered hours.

Flexible office space provides open plan design, attractively designed meeting room with couch and uniform lighting, quiet areas to provide peaceful environment to employee for working, adaptable workstations, shared amenities. The benefits of flexible workspace include it increases efficiency in work of employees, they provide well-designed breathing room to bring out best capabilities of employees in their work, they can work remotely from any place at any time, they have cafe for employees, helps employees in reducing lease cost. WeWork provides dynamic, flexible, and beautifully designed workplaces that reflect the evolving needs of workers.

There is rising demand for flexible office in the market due to emerging trend of working in a unique flexible office, workspace environment that provides work life balance, improves restriction for standard working hours, employees work in a unique attractively designed office space that motivates and increases efficiency in work boosting the growth of company.

There are many major players of IT and entertainment industry that have collaborated with WeWork company that redesign conference rooms, provide flexibility to employees in their working increasing productivity among employees. The rising working population and changed preference of population towards work outside the company’s premises such as coworking spaces are on the rise. The pandemic situation has increased demand for flexible office working environment that propels growth of flexible office market across globe. The flexible workforce model has increased employee satisfaction, efficiency in work, improved business outcomes, work life balance, this all factors boost the growth of flexible office ...

Home Ownership Rate in the United States decreased to 65.10 percent in the first quarter of 2025 from 65.70 percent in the fourth quarter of 2024. This dataset provides the latest reported value for - United States Home Ownership Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

About this dataset

Context

The dataset tabulates the Home Lake township population by age cohorts (Children: Under 18 years; Working population: 18-64 years; Senior population: 65 years or more). It lists the population in each age cohort group along with its percentage relative to the total population of Home Lake township. The dataset can be utilized to understand the population distribution across children, working population and senior population for dependency ratio, housing requirements, ageing, migration patterns etc.

Key observations

The largest age group was 18 to 64 years with a poulation of 59 (66.29% of the total population). 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 cohorts:

• Under 18 years
• 18 to 64 years
• 65 years and over

Variables / Data Columns

• Age Group: This column displays the age cohort for the Home Lake township population analysis. Total expected values are 3 groups ( Children, Working Population and Senior Population).
• Population: The population for the age cohort in Home Lake township is shown in the following column.
• Percent of Total Population: The population as a percent of total population of the Home Lake township 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 Home Lake township Population by Age. You can refer the same here

About this dataset

Context

The dataset tabulates the Home township population by age cohorts (Children: Under 18 years; Working population: 18-64 years; Senior population: 65 years or more). It lists the population in each age cohort group along with its percentage relative to the total population of Home township. The dataset can be utilized to understand the population distribution across children, working population and senior population for dependency ratio, housing requirements, ageing, migration patterns etc.

Key observations

The largest age group was 18 to 64 years with a poulation of 265 (52.58% of the total population). 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 cohorts:

• Under 18 years
• 18 to 64 years
• 65 years and over

Variables / Data Columns

• Age Group: This column displays the age cohort for the Home township population analysis. Total expected values are 3 groups ( Children, Working Population and Senior Population).
• Population: The population for the age cohort in Home township is shown in the following column.
• Percent of Total Population: The population as a percent of total population of the Home township 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 Home township Population by Age. You can refer the same here

About this dataset

Context

The dataset tabulates the Home township population by age cohorts (Children: Under 18 years; Working population: 18-64 years; Senior population: 65 years or more). It lists the population in each age cohort group along with its percentage relative to the total population of Home township. The dataset can be utilized to understand the population distribution across children, working population and senior population for dependency ratio, housing requirements, ageing, migration patterns etc.

Key observations

The largest age group was 18 to 64 years with a poulation of 173 (60.49% of the total population). 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 cohorts:

• Under 18 years
• 18 to 64 years
• 65 years and over

Variables / Data Columns

• Age Group: This column displays the age cohort for the Home township population analysis. Total expected values are 3 groups ( Children, Working Population and Senior Population).
• Population: The population for the age cohort in Home township is shown in the following column.
• Percent of Total Population: The population as a percent of total population of the Home township 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 Home township Population by Age. You can refer the same here

About this dataset

Context

The dataset tabulates the Mountain Home population by age cohorts (Children: Under 18 years; Working population: 18-64 years; Senior population: 65 years or more). It lists the population in each age cohort group along with its percentage relative to the total population of Mountain Home. The dataset can be utilized to understand the population distribution across children, working population and senior population for dependency ratio, housing requirements, ageing, migration patterns etc.

Key observations

The largest age group was 18 to 64 years with a poulation of 9,998 (61.47% of the total population). 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 cohorts:

• Under 18 years
• 18 to 64 years
• 65 years and over

Variables / Data Columns

• Age Group: This column displays the age cohort for the Mountain Home population analysis. Total expected values are 3 groups ( Children, Working Population and Senior Population).
• Population: The population for the age cohort in Mountain Home is shown in the following column.
• Percent of Total Population: The population as a percent of total population of the Mountain Home 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 Mountain Home Population by Age. You can refer the same here

Access to electricity (% of population) in United States was reported at 100 % in 2023, according to the World Bank collection of development indicators, compiled from officially recognized sources. United States - Access to electricity (% of population) - actual values, historical data, forecasts and projections were sourced from the World Bank on July of 2025.

According to Cognitive Market Research, the global Remote PC Access Software market size is USD 3158.5 million in 2024. It will expand at a compound annual growth rate (CAGR) of 10.60% from 2024 to 2031.

North America held the major market share for more than 40% of the global revenue with a market size of USD 1263.40 million in 2024 and will grow at a compound annual growth rate (CAGR) of 8.8% from 2024 to 2031.
Europe accounted for a market share of over 30% of the global revenue with a market size of USD 947.5 million.
Asia Pacific held a market share of around 23% of the global revenue with a market size of USD 726.4 million in 2024 and will grow at a compound annual growth rate (CAGR) of 12.6% from 2024 to 2031.
Latin America had a market share for more than 5% of the global revenue with a market size of USD 157.9 million in 2024 and will grow at a compound annual growth rate (CAGR) of 10.0% from 2024 to 2031.
Middle East and Africa had a market share of around 2% of the global revenue and was estimated at a market size of USD 63.17 million in 2024 and will grow at a compound annual growth rate (CAGR) of 10.3% from 2024 to 2031.
On-Premise held the highest Remote PC Access Software market revenue share in 2024.

Market Dynamics of Remote PC Access Software Market

Key Drivers for Remote PC Access Software Market

Growing Internet penetration fuels the expansion of the remote PC access software market

Increased internet usage is predicted to drive future growth in the remote PC access software market. Internet penetration is the proportion of a country's population that has access to the internet, as measured by the number of internet users there. Internet penetration is critical in improving the effectiveness and usability of remote desktop software. For instance, according to a report released in November 2021 by the International Telecommunication Union (ITU), a Swiss-based specialized UN body, the number of users increased by 782 million, accounting for 63% of the global population in 2021 compared to the previous year

Rising Demand For E-Learning And Distance Education Boosts Remote PC access software market

The rise in popularity of online learning and distance education is leading to the expansion of the remote desktop software industry. An electronic learning platform relies on using electronic tools to facilitate teaching. Distance learning, also known as e-learning and online learning, is an educational approach that utilizes various technologies to enhance communication between teachers and students as well as among students. The growing desire for online education and distance learning will lead to a greater requirement for remote desktop software to facilitate convenient learning from a distance. In January 2022, Eurostat - a Luxembourg-based statistical office of the EU - reported that 27% of adults aged 16-74 in the EU had taken an online course or used online study materials in the last three months of 2021, up by 4 percentage points from 23% in 2020. Further, ThinkImpact's data reveals that 75% of schools in the US intended to operate exclusively through online methods in 2021. Roughly 4.8% of schools provided all classes through online means, while about 2.9% of schools offered half of their courses online. The remote PC access software market is expected to expand due to the increasing popularity of e-learning and distance learning education.

Restraint Factor for the Remote PC Access Software Market

Slow internet network and downtime to impede market growth.

Robust and dependable internet connectivity is required for remote desktop applications to function properly. This requirement applies to both the client and server ends, as even tiny interruptions in the internet connection can dramatically hamper connectivity and disrupt existing operations. The usefulness of remote work management is dependent on this critical need for a successful workflow.

Impact of Covid-19 on the Remote PC Access Software Market

The COVID-19 epidemic had a positive impact on the remote PC access software market. As a result of the lockdown, which forced businesses and institutions to close, more people began working from home, increasing demand for remote access software. According to the Current Population Survey, 48.7 million persons (about 35% of the employed population) reported working from home over the previous four weeks i...

About this dataset

Context

The dataset tabulates the Home township population by age cohorts (Children: Under 18 years; Working population: 18-64 years; Senior population: 65 years or more). It lists the population in each age cohort group along with its percentage relative to the total population of Home township. The dataset can be utilized to understand the population distribution across children, working population and senior population for dependency ratio, housing requirements, ageing, migration patterns etc.

Key observations

The largest age group was 18 to 64 years with a poulation of 1,506 (55.21% of the total population). 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 cohorts:

• Under 18 years
• 18 to 64 years
• 65 years and over

Variables / Data Columns

• Age Group: This column displays the age cohort for the Home township population analysis. Total expected values are 3 groups ( Children, Working Population and Senior Population).
• Population: The population for the age cohort in Home township is shown in the following column.
• Percent of Total Population: The population as a percent of total population of the Home township 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 Home township Population by Age. You can refer the same here

During the COVID-19 lockdown, Instacart became an essential service for millions of Americans trapped at home. Even as early as February, Instacart started noticing unusual demand for items such as...

The U.S. home organization products market is valued at USD 11.79 Billion in 2023 and is projected to reach USD 16.15 Billion by 2030, registering a CAGR of 4.6% for the forecast period 2023-2030. Driving factor of the Home Organization Products

Rising awareness about benefits of home organization products

The benefits of Home Organization Products play a significant role in driving the Home Organization Products market. These benefits make organization products attractive to consumers and encourage them to invest in such products.

Benefits of home organization products:

Improved Efficiency

Products for home organizing make it easier for people to find and access goods. Time is saved, and the frustration of looking for items is reduced.

Maximized Space

They utilize vertical and covert storage options to maximize space, especially in tiny homes or flats.

Reduced Clutter

Stress and a sense of disorder can be brought on by clutter. Products for home organizing assist keep possessions orderly, reducing clutter and fostering a more relaxing environment.

Improved Aesthetics

Numerous organizational goods are made with aesthetics in mind, which contributes to making a house that is more aesthetically pleasant.

Increasing awareness about these products coupled with marketing strategies increasing adoption of home organization products worldwide. For instance, YouTube has become powerful platform in today’s world due to the growing penetration of internet in developing as well as developed countries. Many companies and youtubers are using these platforms to introduce, demonstrate the home organization products usability etc. In addition, DIY products videos becoming popular day by day among users.

For instance, IKEA has its YouTube channel with more than 271K subscribers assist its customers through its video of different products with real life use and appearance. 

(Source:www.youtube.com/@IKEA/videos)

Rising urbanization and growing residential construction in developing region

Rising urbanization and growing residential construction have a significant positive impact on the home organization products market. Urbanization often leads to smaller living spaces, such as apartments and condos, due to the high population density in cities. This limitation of space creates a need for efficient storage and organization solutions. Home organization products, such as compact shelving units, closet organizers, and space-saving furniture, become essential for urban dwellers who want to maximize their available living space.

According to the Statista; approximately a third of the total population in India lived in cities. The trend shows an increase of urbanization by almost 4 percent in the last decade, meaning people have moved away from rural areas to find work and make a living in the cities.

(Source:www.statista.com/statistics/271312/urbanization-in-india/#:~:text=Urbanization%20in%20India%202021&text=In%202021%2C%20approximately%20a%20third,a%20living%20in%20the%20cities.)

According to estimates from the World Population review, India’s population reached 1.4 billion people in the end of 2022. 

(Source:frontline.thehindu.com/news/explained-india-now-has-14-billion-people-what-does-it-mean-for-their-health/article66575826.ece)

According to the Statista; in 2022, approximately 65.2 percent of the total population in China lived in cities. The urbanization rate has increased steadily in China over the last decades.

(Source:www.statista.com/statistics/270162/urbanization-in-china/)

In 2015, Indian government has launched Pradhan Mantri Awas Yojana (Urban) Mission, which intends to provide housing for all in urban areas by year 2022. The Mission provides Central Assistance to the implementing agencies through States/Union Territories (UTs) and Central Nodal Agencies (CNAs) for providing houses to all eligible families/ beneficiaries against the validated demand for houses. This encourages the residential constructions in India. 

(Source:pmaymis.gov.in/)

The demand for efficient and space-saving organization solutions in urban areas is on the rise, driving the need for a wide range of home organization products.

Rising focus and implementation of minimalism in people's daily lifestyle

Restraining Factor of the Home Organization Products

Competitive market

The market for home or...

Home Ownership Rate in Netherlands decreased to 68.80 percent in 2024 from 69.30 percent in 2023. This dataset provides the latest reported value for - Netherlands Home Ownership Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

In 2025, there were around 1.53 billion people worldwide who spoke English either natively or as a second language, slightly more than the 1.18 billion Mandarin Chinese speakers at the time of survey. Hindi and Spanish accounted for the third and fourth most widespread languages that year. Languages in the United States The United States does not have an official language, but the country uses English, specifically American English, for legislation, regulation, and other official pronouncements. The United States is a land of immigration, and the languages spoken in the United States vary as a result of the multicultural population. The second most common language spoken in the United States is Spanish or Spanish Creole, which over than 43 million people spoke at home in 2023. There were also 3.5 million Chinese speakers (including both Mandarin and Cantonese),1.8 million Tagalog speakers, and 1.57 million Vietnamese speakers counted in the United States that year. Different languages at home The percentage of people in the United States speaking a language other than English at home varies from state to state. The state with the highest percentage of population speaking a language other than English is California. About 45 percent of its population was speaking a language other than English at home in 2023.