Around 36 percent of Brazilian respondents who participated in an IPSOS survey said it was likely they would feel lonely in 2021. From the Latin American countries included in this list, the people interviewed in Argentina and Mexico were the least likely to think they'd be lonely in 2021.

According to a global survey, about 33 percent of adults experienced feelings of loneliness worldwide. Brazil had the highest percentage of people experiencing this, with 50 percent of respondents declaring that they felt lonely either often, always, or sometimes. Turkey, India, and Saudi Arabia followed, with 43 percent to 46 percent of respondents having experienced loneliness at least sometimes. On the contrary, the Netherlands, Japan, Germany, and Russia registered the largest share of interviewees which did not feel lonely.

Coping with loneliness during the pandemic The COVID-19 pandemic has suddenly cut off people from all over the world from their social life, and the lack of companionship has been a difficult situation for many to cope with. In the United States, people who experienced lack of company were, unsurprisingly, individuals living alone, and unemployed, disabled, or unemployed people. In relation to mental health, Americans who reported more symptoms of depression were by far more likely to feel lonely.

Impact of mental health According to a survey conducted in 2021 among G7 countries, about seven in 10 people experienced a worsening of their psychological health during the pandemic. A study on clinician-reported changes in selected health behaviors in the United States showed that during the pandemic patients have suffered more from feelings of loneliness, depression or anxiety, and burnout. Also nutrition and other habits have been impacted. The study reported an increase in alcohol consumption, smoking cigarettes, poor nutrition, and use of other substances.

A survey of U.S. adults from December 2021 found that 57 percent of men and 59 percent of women felt lonely. This statistic shows the percentage of adults in the United States who reported feeling lonely as of December 2021, by gender.

Replication data and R code for "Class Isolation and Affluent Americans’ Perception of Social Conditions" by Adam Thal.

This layer contains 2010-2014 American Community Survey (ACS) 5-year data, and contains estimates and margins of error. The layer shows English ability and linguistic isolation by age group. This is shown by tract, county, and state boundaries. There are also additional calculated attributes related to this topic, which can be mapped or used within analysis. Linguistically isolated households are households in which no one 14 and over speak English only or speaks a language other than English at home and speaks English very well. This layer is symbolized to show the percent of adult (18+) population who have limited English ability. To see the full list of attributes available in this service, go to the "Data" tab, and choose "Fields" at the top right. Vintage: 2010-2014ACS Table(s): B16003, B16004 (Not all lines of ACS table B16004 are available in this feature layer.)Data downloaded from: Census Bureau's API for American Community Survey Date of API call: November 28, 2020National Figures: data.census.govThe United States Census Bureau's American Community Survey (ACS):About the SurveyGeography & ACSTechnical DocumentationNews & UpdatesThis ready-to-use layer can be used within ArcGIS Pro, ArcGIS Online, its configurable apps, dashboards, Story Maps, custom apps, and mobile apps. Data can also be exported for offline workflows. For more information about ACS layers, visit the FAQ. Please cite the Census and ACS when using this data.Data Note from the Census:Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability is represented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpreted as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin of error (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject to nonsampling error (for a discussion of nonsampling variability, see Accuracy of the Data). The effect of nonsampling error is not represented in these tables.Data Processing Notes:This layer has associated layers containing the most recent ACS data available by the U.S. Census Bureau. Click here to learn more about ACS data releases and click here for the associated boundaries layer. The reason this data is 5+ years different from the most recent vintage is due to the overlapping of survey years. It is recommended by the U.S. Census Bureau to compare non-overlapping datasets.Boundaries come from the US Census TIGER geodatabases. Boundary vintage (2014) appropriately matches the data vintage as specified by the Census. These are Census boundaries with water and/or coastlines clipped for cartographic purposes. For census tracts, the water cutouts are derived from a subset of the 2010 AWATER (Area Water) boundaries offered by TIGER. For state and county boundaries, the water and coastlines are derived from the coastlines of the 500k TIGER Cartographic Boundary Shapefiles. The original AWATER and ALAND fields are still available as attributes within the data table (units are square meters). The States layer contains 52 records - all US states, Washington D.C., and Puerto RicoCensus tracts with no population that occur in areas of water, such as oceans, are removed from this data service (Census Tracts beginning with 99).Percentages and derived counts, and associated margins of error, are calculated values (that can be identified by the "_calc_" stub in the field name), and abide by the specifications defined by the American Community Survey.Field alias names were created based on the Table Shells file available from the American Community Survey Summary File Documentation page.Negative values (e.g., -4444...) have been set to null, with the exception of -5555... which has been set to zero. These negative values exist in the raw API data to indicate the following situations:The margin of error column indicates that either no sample observations or too few sample observations were available to compute a standard error and thus the margin of error. A statistical test is not appropriate.Either no sample observations or too few sample observations were available to compute an estimate, or a ratio of medians cannot be calculated because one or both of the median estimates falls in the lowest interval or upper interval of an open-ended distribution.The median falls in the lowest interval of an open-ended distribution, or in the upper interval of an open-ended distribution. A statistical test is not appropriate.The estimate is controlled. A statistical test for sampling variability is not appropriate.The data for this geographic area cannot be displayed because the number of sample cases is too small.

The Stroke Recovery in Underserved Populations 2005-2006 study was created to address the National Institute on Aging (NIA) Request For Application entitled "Research on Mind-Body Interactions and Health" (RFA OD-03-008). It addressed the NIA interest in "the impact of optimism, happiness, or a positive attitude on well-being and health; and social functioning and health." The study examined how positive emotion (e.g., joy, gratitude, love, contentment) and social networks independently and interactively contribute to recovery of functional status after stroke within two underserved groups. The specific study aims were to: Examine recovery of functional status (motor and cognitive function), for White, African American and Hispanic persons with stroke discharged from rehabilitation facilities Examine the contributions of positive emotion and social networks on recovery of functional status (motor and cognitive function), for White, African American, and Hispanic persons with stroke discharged from rehabilitation facilities; and Examine the interaction between positive emotion and social networks on recovery of functional status (motor and cognitive function) for White, African American, and Hispanic persons with stroke discharged from rehabilitation facilities. The data were collected by the IT Health Track at four time points: at admission and discharge from rehabilitation facility, and 80-180 days and 365-425 days after discharge. These data emphasize recovery of motor and cognitive functional status, positive emotion, and social networks The dataset contains 226 variables and 1219 cases from 11 rehabilitation facilities across the United States. face-to-face interview; telephone interviewThis study was funded by the National Institute on Aging through grant number R01AG024806-05S1.To protect the anonymity of respondents, all variables that could be used to identify individuals have been masked or recoded. For details regarding these changes, please refer to the Codebook Notes provided in the ICPSR Codebook in this data collection.Please note that this data collection contains duplicate records. ICPSR created a CASEID variable which is a unique case identifier. Variable PAT_ID accounts for the duplicate records, while variable CASEID allows data users to analyze the data for each case.All four of the longitudinal time points are included in the dataset. The following variable ending indication the time point associated with the variable. "_A" refers to admissions "_D" refers to discharge "_F" refers to 3 month follow-up "_Y" to the 12 month follow-up The purpose of this study was to address the National Institute on Aging RFA "Research on Mind-Body Interactions and Health." The study aimed to identify and examine factors that may contribute to a narrowing of the health disparities that currently exist between underserved minority groups, African Americans and Hispanics, and whites. The study strives to contribute important insights into why some individuals with stroke do well and others do poorly. The researchers targeted 16 rehabilitation facilities from the across Unites States with the objective of obtaining a large sample of racial and ethnic minorities represented. Data were collected by the IT Health Track at four time points: at admission and discharge from the rehabilitation facility, and 80-180 days and 365-425 days after discharge. Response Rates: Of the 16 rehabilitation facilities contacted, 11 participated in the study. Of the eligible respondents from those facilities 85 percent participated in the study. The study acquired responses from 1206 unique respondents: 906 whites, 199 blacks, 74 Hispanics and 27 respondents who identify as another race. Presence of Common Scales: Center for Epidemiologic Studies Depression Scale (CESD) DUKE-UNC Functional Social Support Functional Independence Measure (FIM) Documentation for the computation of the DUKE-UNC Functional Social Support Scale was not provided. Some of the topics highlighted in the data include the following: Demographics Stroke Symptoms Stroke Comorbidities Functional Recovery Social Support Community Partipation Emotional Well-being The data were convenience sampled from 11 rehabilitation facilities that were targeted to obtain responses from African American, Hispanic and White persons. Individuals with stroke who checked into rehabilitation facilities in the United States in 2005. Smallest Geographic Unit: rehabilitation facility Datasets: DS1: Stroke Recovery in Underserved Populations 2005-2006 [United States]

The COVID-19 pandemic, with millions of Americans compelled to stay home and work remotely, presented an opportunity to explore the dynamics of social relationships in a predominantly remote world. Using the 1972-2022 General Social Surveys, we found that the pandemic significantly disrupted the patterns of social gatherings with family, friends, and neighbors, but only momentarily. Drawing from the nationwide ego-network surveys of 41,033 Americans from 2020 to 2022, we found that the size and composition of core networks remained stable, though political homophily increased among non-kin relationships compared to previous surveys between 1985 and 2016. Critically, heightened remote communication during the initial phase of the pandemic was associated with increased interaction with the same partisans, though political homophily decreased during the later phase of the pandemic when in-person contacts increased. These results underscore the crucial role of social institutions and social gatherings in promoting spontaneous encounters with diverse political backgrounds.

This layer was developed by the Research & Analytics Group of the Atlanta Regional Commission, using data American Community Survey 5-year estimates for 2011-2015 to show population with less than full English proficiency, by zip code in the Atlanta region. The user should note that American Community Survey data represent estimates derived from a surveyed sample of the population, which creates some level of uncertainty, as opposed to an exact measure of the entire population (the full census count is only conducted once every 10 years and does not cover as many detailed characteristics of the population). Therefore, any measure reported by ACS should not be taken as an exact number. ACS data presented here represent combined 5-year estimates, meaning these estimates represent rolling averages of survey results that were collected over a 5-year span (in this case 2011-2015). Therefore, these data do not represent any one specific point in time or even one specific year. For further explanation of ACS estimates and methodology, click here. Attributes: ZIP = Zip code (text) ZIP_dbl = Zip code (numeric) Total_Population_2010 = Total Population, 2010 Census Total_Population_2011_2015_ACS = Total Population, 2011-2015 American Community Survey (ACS)- - - - - -Pop_5Years_andOlder = #, Population 5 years and Over SpeakEngl_lessThan_vWell = #, Speak English Less than "very well" Pct_SpeakEng_lessThan_vWell = %, Speak English Less than "very well"- - - - - -last_edited_date = Last date the feature was edited by ARC Source: U.S. Census Bureau, Atlanta Regional Commission

Date: 2011-2015

The Remote Browser Isolation (RBI) platform market is experiencing robust growth, driven by escalating cyber threats and the increasing adoption of cloud-based applications. The market, currently valued at approximately $2.5 billion in 2025, is projected to exhibit a Compound Annual Growth Rate (CAGR) of 18% from 2025 to 2033. This expansion is fueled by several key factors. The finance, information and communications technology (ICT), and medical industries are leading adopters, owing to their heightened sensitivity to data breaches and regulatory compliance requirements. Government agencies are also significantly increasing their investments in RBI solutions to secure sensitive governmental data. The rising prevalence of sophisticated phishing attacks and malware targeting web browsers is another major driver. Market trends indicate a shift toward advanced RBI technologies such as Network Vector Rendering, offering superior performance and security compared to traditional pixel-pushing methods. The continued growth of remote work further contributes to the market's expansion, as organizations increasingly rely on secure remote access solutions. Despite this positive outlook, the market faces some restraints. The relatively high initial investment cost associated with implementing RBI solutions and the complexity of integration with existing IT infrastructure can hinder broader adoption among smaller businesses. However, the increasing awareness of cyber risks and the growing availability of more cost-effective RBI solutions are mitigating these limitations. Key players in the market, including Broadcom, Cisco, Cloudflare, and Zscaler, are actively innovating and expanding their product offerings to meet the evolving needs of various industry segments and geographies. The dominance of North America and Europe in terms of market share is expected to continue, but Asia-Pacific is poised for significant growth in the coming years due to increasing digitalization and adoption of cloud services. The continued evolution of cyber threats will undoubtedly drive innovation within the RBI market, pushing the adoption of more sophisticated and secure solutions.

Isolation Drive Chip Market Outlook

The global isolation drive chip market size was valued at approximately USD 1.2 billion in 2023 and is projected to reach around USD 2.5 billion by 2032, growing at a Compound Annual Growth Rate (CAGR) of 8.2% over the forecast period. Driving factors behind this growth include increasing demand for electrical safety, enhanced noise immunity in electronic devices, and technological advancements in chip manufacturing.

One of the key growth factors for the isolation drive chip market is the rising awareness and implementation of stringent safety standards across various industries. In industrial applications, isolation chips are crucial for preventing electrical shocks and ensuring that machinery operates safely. This trend is particularly pronounced in regions with stringent regulatory frameworks, such as Europe and North America. The demand for reliable, robust isolation solutions in industrial automation and control systems continues to push the market forward.

Technological advancements are another significant driver of market growth. Innovations in semiconductor technology have resulted in the development of more efficient, compact, and cost-effective isolation drive chips. The advent of digital isolation technology has improved performance metrics like speed and noise immunity, making these chips indispensable in modern electronics. Furthermore, the push towards miniaturization and integration in consumer electronics is creating a fertile ground for the adoption of advanced isolation chips.

The growing adoption of electric vehicles (EVs) is also a major contributor to the market's expansion. Isolation drive chips play a vital role in EV power systems by providing necessary isolation in high-voltage battery systems to ensure safety and reliability. With the global shift towards greener transportation options, the demand for electric vehicles is anticipated to surge, thereby driving the need for sophisticated isolation technologies. Moreover, government incentives and policies promoting electric vehicles further bolster market growth.

The market for Digital Isolator Sales is witnessing a significant upsurge, driven by the increasing demand for high-speed data transmission and enhanced noise immunity in electronic devices. Digital isolators are pivotal in ensuring data integrity and safety across various applications, including industrial automation, telecommunications, and consumer electronics. These isolators are designed to provide superior performance by leveraging advanced semiconductor technologies, which enable them to operate efficiently in high-frequency environments. As industries continue to adopt more sophisticated electronic systems, the role of digital isolators becomes increasingly critical, offering reliable solutions that meet stringent safety and performance standards. The growing trend towards miniaturization and integration in electronic devices further propels the demand for digital isolators, making them an essential component in the evolving landscape of modern electronics.

Regionally, Asia Pacific is expected to lead the market, driven by rapid industrialization, growing consumer electronics market, and increasing investments in automotive and telecommunication sectors. North America and Europe also hold significant market shares due to the established presence of key market players and stringent safety regulations. In contrast, Latin America and Middle East & Africa are projected to witness steady growth, supported by gradual technological adoption and infrastructural developments.

Type Analysis

The isolation drive chip market can be broadly categorized into digital isolation and analog isolation types. Digital isolation chips are gaining substantial traction due to their superior performance metrics, including higher data rates, better noise immunity, and lower power consumption. These chips are extensively used in applications requiring high-speed data transmission and robust signal integrity. The market for digital isolation chips is anticipated to grow rapidly, fueled by their increasing adoption in consumer electronics, automotive, and telecommunications sectors.

Analog isolation chips, while not as advanced as their digital counterparts, continue to hold a significant market share. These chips are primarily used in applications where high speed is not a critical requirement. Analog isolation chips are essential in tradit

The Capacitively Coupled Digital Isolator market is experiencing robust growth, driven by the increasing demand for reliable and efficient signal isolation in diverse applications. The market's expansion is fueled by several key factors, including the rising adoption of industrial automation, the proliferation of medical devices requiring high levels of safety, and the growing need for enhanced data security in various sectors. The use of capacitively coupled digital isolators offers superior performance compared to traditional galvanic isolation methods, providing benefits such as improved noise immunity, higher data rates, and smaller form factors. This is particularly significant in applications like industrial control systems, medical instruments, and power supplies where electromagnetic interference (EMI) and safety concerns are paramount. We estimate the market size in 2025 to be $850 million, exhibiting a Compound Annual Growth Rate (CAGR) of 8% from 2025 to 2033, reflecting a steady increase in adoption across various regions and application segments. The market is segmented by application (Industrial, Medical Instruments, Other) and type (One-Way Channel, Two-Way Channel), offering varied opportunities for specialized products. Key players like Analog Devices, Texas Instruments, and NXP are actively investing in R&D to further enhance the performance and capabilities of these isolators, driving innovation and market competitiveness. The growth trajectory of the Capacitively Coupled Digital Isolator market is expected to continue its upward trend throughout the forecast period (2025-2033). This is attributed to ongoing technological advancements leading to improved efficiency, miniaturization, and enhanced features. The increasing integration of digital technologies across various industries and the growing demand for energy-efficient solutions are further contributing to the market's expansion. However, factors like high initial investment costs and the need for specialized expertise for implementation could act as restraints, but these are likely to be offset by the significant long-term benefits offered by these isolators. Regional growth will be largely driven by North America and Asia Pacific, owing to significant industrialization, technological adoption, and investments in advanced infrastructure within these regions. The market will continue to evolve with the integration of new materials and design methodologies, ensuring consistent growth and innovation in the years to come.

This dataset was developed by the Research & Analytics Group at the Atlanta Regional Commission using data from the U.S. Census Bureau.For a deep dive into the data model including every specific metric, see the Infrastructure Manifest. The manifest details ARC-defined naming conventions, field names/descriptions and topics, summary levels; source tables; notes and so forth for all metrics.Naming conventions:Prefixes: None Countp Percentr Ratem Mediana Mean (average)t Aggregate (total)ch Change in absolute terms (value in t2 - value in t1)pch Percent change ((value in t2 - value in t1) / value in t1)chp Change in percent (percent in t2 - percent in t1)s Significance flag for change: 1 = statistically significant with a 90% CI, 0 = not statistically significant, blank = cannot be computed Suffixes: _e19 Estimate from 2014-19 ACS_m19 Margin of Error from 2014-19 ACS_00_v19 Decennial 2000, re-estimated to 2019 geography_00_19 Change, 2000-19_e10_v19 2006-10 ACS, re-estimated to 2019 geography_m10_v19 Margin of Error from 2006-10 ACS, re-estimated to 2019 geography_e10_19 Change, 2010-19The user should note that American Community Survey data represent estimates derived from a surveyed sample of the population, which creates some level of uncertainty, as opposed to an exact measure of the entire population (the full census count is only conducted once every 10 years and does not cover as many detailed characteristics of the population). Therefore, any measure reported by ACS should not be taken as an exact number – this is why a corresponding margin of error (MOE) is also given for ACS measures. The size of the MOE relative to its corresponding estimate value provides an indication of confidence in the accuracy of each estimate. Each MOE is expressed in the same units as its corresponding measure; for example, if the estimate value is expressed as a number, then its MOE will also be a number; if the estimate value is expressed as a percent, then its MOE will also be a percent. The user should also note that for relatively small geographic areas, such as census tracts shown here, ACS only releases combined 5-year estimates, meaning these estimates represent rolling averages of survey results that were collected over a 5-year span (in this case 2015-2019). Therefore, these data do not represent any one specific point in time or even one specific year. For geographic areas with larger populations, 3-year and 1-year estimates are also available. For further explanation of ACS estimates and margin of error, visit Census ACS website.Source: U.S. Census Bureau, Atlanta Regional CommissionDate: 2015-2019Data License: Creative Commons Attribution 4.0 International (CC by 4.0)Link to the manifest: https://www.arcgis.com/sharing/rest/content/items/3d489c725bb24f52a987b302147c46ee/data

The global isolation wheelchair market, valued at $39.7 million in 2025, is projected to experience steady growth, driven by a rising geriatric population, increasing prevalence of infectious diseases, and a growing need for infection control in healthcare settings. The Compound Annual Growth Rate (CAGR) of 3.9% from 2019 to 2033 indicates a consistent market expansion, although this rate may fluctuate slightly year-to-year based on economic conditions and healthcare spending priorities. Key market drivers include the increasing demand for specialized medical equipment to manage infectious diseases, heightened awareness of hygiene and infection prevention protocols in hospitals and long-term care facilities, and the rising adoption of advanced materials and technologies in wheelchair design to enhance safety and comfort for patients and caregivers. The market faces some restraints including high initial investment costs associated with procuring specialized isolation wheelchairs, and potential variations in regulatory approvals across different regions, impacting market penetration. However, technological advancements, such as the incorporation of antimicrobial surfaces and improved mobility features, are likely to mitigate these restraints in the long term. The competitive landscape comprises several established players such as Nippon Medical, Wosem Co., Ltd., Invacare Corporation, Permobil, Drive DeVilbiss Healthcare, Medline Industries, and Karman Healthcare, all vying for market share through product innovation and strategic partnerships. The market segmentation likely includes variations in wheelchair types (manual vs. powered), materials used, and intended end-users (hospitals, nursing homes, home care). Future market growth will largely depend on the evolution of healthcare infrastructure, especially in developing economies, as well as the introduction of innovative features enhancing usability and infection control. Government initiatives promoting infection control and improved healthcare accessibility will also significantly impact market expansion. Increased awareness campaigns highlighting the importance of hygiene in healthcare settings, coupled with evolving technological advancements, will shape the trajectory of this market in the coming years. Further market research would be necessary to determine the precise regional breakdown and a more detailed analysis of segment performance and competitive strategies.

Latin America's Isolation Trolley market will be USD 82.61 million in 2024 and is estimated to grow at a compound annual growth rate (CAGR) of 3.4% from 2024 to 2031. The market is foreseen to reach USD 115.2 million by 2031 due to demand for quality healthcare services.

The Security Isolation and Information Exchange System (SIIES) market is experiencing robust growth, driven by increasing concerns over data breaches and the need for secure information sharing across diverse environments. The market's size in 2025 is estimated at $5 billion, projecting a Compound Annual Growth Rate (CAGR) of 15% from 2025 to 2033. This growth is fueled by several key factors. The expanding adoption of cloud-based solutions enhances accessibility and scalability, while the rising demand for secure communication in government, healthcare, and energy sectors significantly contributes to market expansion. Furthermore, the increasing sophistication of cyber threats and stringent data privacy regulations are compelling organizations to adopt robust SIIES solutions. The market is segmented by deployment type (cloud-based and local deployment) and application (government, medical, energy, enterprise, and others). Cloud-based solutions are witnessing faster adoption due to their cost-effectiveness and flexibility. The government sector currently holds a significant market share, but strong growth is expected from the medical and energy sectors driven by the criticality of secure data exchange in these fields. While high initial investment costs might pose a restraint, the long-term benefits in terms of enhanced security and improved operational efficiency outweigh the challenges, driving continuous market expansion. The competitive landscape is characterized by a mix of established players and emerging technology providers. Companies like Zenitel, RackTop Systems, and Broadcom are actively shaping the market dynamics, while newer entrants are focusing on niche applications and innovative solutions. Regional variations are apparent, with North America and Europe holding significant market shares, however, the Asia-Pacific region is projected to show the fastest growth in the coming years due to increasing digitalization and government initiatives promoting cybersecurity. The forecast period (2025-2033) is expected to witness substantial market expansion, driven by technological advancements, rising adoption across various sectors, and increasing awareness of cybersecurity threats. The market's maturation and potential for innovation suggest a promising future for SIIES solutions.

The global medical isolation transformer market is experiencing robust growth, driven by the increasing demand for advanced medical equipment and the rising adoption of minimally invasive surgical procedures. The market's size in 2025 is estimated at $150 million, exhibiting a Compound Annual Growth Rate (CAGR) of 7% from 2025 to 2033. This growth is fueled by several key factors: stringent safety regulations regarding patient and medical personnel safety during electrosurgery, a growing preference for portable and compact medical devices necessitating efficient isolation transformers, and the increasing prevalence of chronic diseases requiring advanced medical interventions. Furthermore, technological advancements leading to more efficient and reliable isolation transformers with enhanced safety features are contributing significantly to market expansion. Key players, including ABB, Noratel, and others listed, are actively involved in innovation and market consolidation, which further shapes market dynamics. The market segmentation includes various transformer types based on power rating, voltage level, and application. Geographic regions show varying growth rates, with North America and Europe currently holding substantial market share due to established healthcare infrastructure and high adoption rates. However, emerging economies in Asia-Pacific and Latin America are expected to demonstrate significant growth potential in the coming years due to increasing healthcare expenditure and expanding medical device manufacturing. Market restraints include the high initial cost of these transformers and potential supply chain disruptions. Nevertheless, the overall outlook for the medical isolation transformer market remains positive, driven by technological advancements and the growing healthcare sector.

According to a survey conducted among adults in the United States in May 2021, 12 percent of respondents said they had no close friends. This marked an increase compared to a three percent share of U.S. adults stating the same thing during a survey conducted in 1990. Conversely, the percentage of Americans who said they had 10 or more close friends decreased from 33 percent in 1990 to 13 percent in 2021. The decrease of larger friend groups went hand in hand with a rise of adults stating they had between one to four close friends.

A stateside social recession? Americans marrying later, working longer hours, and becoming more geographically mobile are some elements posited as potential reasons for the nation's increasing loneliness - all this without mentioning the far-reaching consequences of the COVID-19 pandemic.

This layer was developed by the Research & Analytics Division of the Atlanta Regional Commission using data from the U.S. Census Bureau.

The user should note that American Community Survey data represent estimates derived from a surveyed sample of the population, which creates some level of uncertainty, as opposed to an exact measure of the entire population (the full census count is only conducted once every 10 years and does not cover as many detailed characteristics of the population). Therefore, any measure reported by ACS should not be taken as an exact number – this is why a corresponding margin of error (MOE) is also given for ACS measures. The size of the MOE relative to its corresponding estimate value provides an indication of confidence in the accuracy of each estimate. Each MOE is expressed in the same units as its corresponding measure; for example, if the estimate value is expressed as a number, then its MOE will also be a number; if the estimate value is expressed as a percent, then its MOE will also be a percent.

The user should also note that for relatively small geographic areas, such as census tracts shown here, ACS only releases combined 5-year estimates, meaning these estimates represent rolling averages of survey results that were collected over a 5-year span (in this case 2014-2018). Therefore, these data do not represent any one specific point in time or even one specific year. For geographic areas with larger populations, 3-year and 1-year estimates are also available.

For a deep dive into the data model including every specific metric, see the Infrastructure Manifest. The manifest details ARC-defined naming conventions, field names/descriptions and topics, summary levels; source tables; notes and so forth for all metrics.

For further explanation of ACS estimates and margin of error, visit Census ACS website.

Naming conventions:

Prefixes:

None

Count

p

Percent

r

Rate

m

Median

a

Mean (average)

t

Aggregate (total)

ch

Change in absolute terms (value in t2 - value in t1)

pch

Percent change ((value in t2 - value in t1) / value in t1)

chp

Change in percent (percent in t2 - percent in t1)

s

Significance flag for change: 1 = statistically significant with a 90% Confidence Interval, 0 = not statistically significant, blank = cannot be computed

Suffixes:

_e18

Estimate from 2014-18 ACS

_m18

Margin of Error from 2014-18 ACS

_00_v18

Decennial 2000 in 2018 geography boundary

_00_18

Change, 2000-18

_e10_v18

Estimate from 2006-10 ACS in 2018 geography boundary

_m10_v18

Margin of Error from 2006-10 ACS in 2018 geography boundary

_e10_18

Change, 2010-18