When surveyed in **********, ** percent of Americans felt declined confidence in retiring comfortable, due to the coronavirus pandemic. When surveyed again in *************, a lower share, only ** percent, felt declined confidence to retire. Meanwhile, a higher share (** percent) felt increased confidence in **********. This share was lower in December that year, when only ** percent had improved confidence to retire comfortably.

Reasons for leaving work and those that have returned to work during the coronavirus (COVID-19) pandemic, broken down by retirement status. Includes information on whether those looking for paid work or have looked for paid work experienced age discrimination. Data from the Over 50s Lifestyle Study, Great Britain.

Most retired people would have retired the same age as they did, even if they would have known in advance about the outbreak of the coronavirus pandemic in 2020 and its impact on the world economy. The share was slightly lower among Asian retirees though, where one fifth stated they would have retired later if they would have known, and ** percent would have retired earlier.

The impact of the coronavirus (COVID-19) pandemic on the retirement plans of households in the United States varied greatly across the generations considered. As of 2020, approximately one-quarter of the millennial surveyed (24 to 38 years of age) declared to have withdrawn from their emergency fund or savings account because of the coronavirus pandemic. On the other hand, this impact was reported by only *** percent of the respondents aged between 55 to 73 years (boomers).

When surveyed in early 2021, more than a year after the start of the COVID-19 pandemic, the French were more pessimistic than the rest of the countries in which the survey was conducted regarding the time it would take for their retirement savings balance to return to its pre-pandemic level. Just over half (** percent) thought it would take them *** year or less, compared to nearly three-quarters (** percent) of people in the rest of the countries surveyed.

In 2023, nearly *** in **** nurses said that they would retire from nursing due to the COVID-19 pandemic. According to this 2023 survey, ** percent of surveyed nurses stated they would likely retire from nursing as a consequence of the pandemic, of which ***** percent said it to be extremely likely. Nonetheless, most responding nurses stated it was unlikely for them to retire due to COVID-19.

Reasons for leaving and considering returning to work during the coronavirus (COVID-19) pandemic, broken down by retirement status. Data from the Over 50s Lifestyle Study, Great Britain.

Suppl. 1. Manuscript before English proofreading by ChatGPT. Suppl. 2. Manuscript after English proofreading by ChatGPT. Suppl. 3. Fifty-eight terms on digital standards of journal publishing (queried via ChatGPT) and the acceptability of its answers. Suppl. 4. Answer of ChatGPT (2023 Jan 9 ver.) to 58 topics on digital standards of journal publishing (cited January 19, 2023, 8:30 PM–January 21, 2023, 21:00 PM [Seoul time]).

Retirement homes depend on self-funders or local council funding that covers the retirement needs of people who satisfy financial assessment means tests. Tightening government budgets have meant publicly funded fees have failed to cover providers’ operating costs, forcing retirement homes to cross-subsidise local authority beds with fees from self-funded residents. Revenue is anticipated to climb at a compound annual rate of 3.2% over the five years through 2025-26 to £12.0 billion, and it’s set to rise by 0.8% in 2025-26. Much of this is down to care homes' fees mounting to cover costs and being paid for by self-funders, who are saw their disposable income tick upwards in 2024-25, lifting industry revenue. Although the ageing population supports revenue growth, constrained government spending, delayed reform changes and rising costs (particularly for labour) have put pressure on profit. Demand for beds far outstrips the supply, which is driving investment into the industry. Mounting demand from residents who had delayed joining a retirement home during the pandemic contributed to strong growth in revenue in 2021-22. Care homes' fees then edged up in the three years through 2024-25 to cope with enhanced staffing costs, mounting mortgage payments and heightened energy costs – these were all the result of high inflation. This has been to the dismay of many retirees whose purse strings have tightened thanks to the cost-of-living crisis, making hit harder for them to afford to move into retirement homes. Higher fees have therefore dampened some of demand for beds, but they’ve also increased the sales value of care homes, supporting revenue. Retirement home revenue is expected to rise at a compound annual rate of 1.5% over the five years through 2030-31 to £12.9 billion, driven by an ageing population. By 2036, the number of people aged 85 and over will hit 2.6 million, representing 3.5% of the UK population, according to the Office for National Statistics. However, medical advances will make an older population healthier, allowing people to live independently for longer, dampening growth. Sustainable initiatives will be incorporated into the designs of new homes, helping reduce operational costs for retirement homes and supporting profitability. As real disposable income rises, there will be greater demand for luxury retirement homes, driving sales value and supporting industry revenue growth.

Retirement is a pivotal life transition that often changes routines, identity, and objectives. With increasing life expectancies and evolving societal norms, examining the interplay between retirement anxiety and life satisfaction is vital. This study delves into this relationship, recognising the complexities of retirement. A systematic review and meta-analysis followed PRISMA guidelines. Research from 2003 to 2023 was sourced from databases like CINAHL, PubMed/Medline, PsycINFO, ERIC, and Google Scholar, focusing on diverse methodologies and outcomes related to retirement registered in Prospero database (CRD42023427949). The quality assessment used an eight-criterion risk of bias scale, and analyses included qualitative and quantitative approaches, such as random-effects meta-analysis and moderator analyses. After reviewing 19 studies with varied geographical and demographic scopes, a mixed relationship between retirement and life satisfaction emerged: 32% of studies reported a positive relationship, 47% were negative, and 21% found no significant correlation. Meta-analysis indicated high heterogeneity and non-significant mean effect size, suggesting no consistent impact of retirement on life satisfaction. Moderator analyses highlighted the influence of measurement tools on outcomes. The findings reveal a complex interplay between retirement anxiety and life satisfaction, stressing the need for holistic retirement policies that encompass mental health, social integration, and adaptability, focusing on cultural sensitivity. Challenges include potential biases in data sources, methodological diversity, the scarcity of longitudinal studies, and difficulties in addressing recent societal shifts, like the COVID-19 pandemic. Variability in measurement tools and possible publication bias may have also influenced results. This study contributes to understanding retirement, emphasising the relationship between retirement anxiety and life satisfaction. It advocates for ongoing, detailed, culturally informed research to grasp retirement’s multifaceted aspects fully.

Interacting with family members and friends from other households is a key part of everyday life and is crucial to people’s mental well-being. The COVID-19 pandemic severely curtailed face-to-face contact between households, particularly for older adults (aged 60 and above), due to their high risk of developing severe illness if infected by COVID-19. In-person contact, where possible, was largely replaced by virtual interaction during the pandemic. This article examines how inter-household contact in face-to-face and virtual forms, as well as combinations of the two forms of contact, related to older adults’ mental well-being during the pandemic. Data from two national longitudinal surveys, collected from the same respondents before (2018–2019) and during (June 2020) the pandemic, were comparatively analysed: the Health and Retirement Study in the US and Understanding Society in the UK. The findings showed a notable increase in loneliness in the US and a decline in general mental well-being in the UK following the outbreak of COVID-19. In both countries, more frequent inter-household face-to-face contact during the pandemic was associated with better general mental well-being, but inter-household virtual contact, via means such as telephone and digital media, was not associated with general mental well-being in either the US or the UK. In the US, older adults who engaged more frequently in virtual contact were more likely to feel lonely during the pandemic, particularly if their face-to-face contact was limited. In both countries, the increase in loneliness following the outbreak of the pandemic was greater for older adults who reported more virtual contact. The findings suggest that household-centred crisis management during the COVID-19 pandemic had unintended mental health implications in both the US and the UK, despite contextual differences between the two countries. Although face-to-face contact between households helped to sustain older adults’ mental well-being, virtual contact was not a qualitatively equivalent alternative. The findings also provide an important evidence base for informing policy developments and for supporting the mental health of older people during the COVID-19 pandemic and in the longer term.

According to Cognitive Market Research, the global Retirement Home Services market is growing at a compound annual growth rate (CAGR) of 3.90% from 2023 to 2030. Rising Global Life Expectancy Is Driving The Growth of the Market

People are living longer lives than they were a few decades ago. This is due to low rates of cardiovascular and infectious disease mortality. The majority of deaths in the world were caused by three primary health conditions: ischemic heart disease, chronic obstructive pulmonary disease (COPD), and stroke.

Since the 1990s, the average number of fatalities has grown. The number of people dying from illnesses such as heart disease has increased as the world population has grown.

The decrease in age-specific mortality rates for various illnesses is evidence of the healthcare industry's success.Life expectancy increases as a result of breakthroughs in public healthcare facilities and significant developments in the healthcare business, as well as higher living standards, increased nutrition, better education, and lifestyle changes. An individual's global average age is mostly determined by living conditions and place of residence. These factors will boost market growth during the forecast period.

Technological Developments Will Boost Market Expansion

During the forecast period, technological advancements in long-term healthcare are anticipated to propel market expansion. This is brought on by the increase in Internet usage, which has sparked the development of online marketplaces, mobile apps, and mHealth. There is a rising need for support services including smartphone apps, trackers, wearables, communication tools, and smart alarms. These tools allow nurses and caregivers to monitor, document, and observe patients as well as connect with medical specialists.The use of computer and mobile phone-based patient data management among these technologies is spreading throughout long-term care.

Apps that create electronic health records (EHRs) and mobile health records (MHRs) are now available, making it simpler for consumers and healthcare professionals to access and exchange health information.

(Source:health-e.in/blog/phr-apps-india/)

The main technological advancements are mHealth and mobile-based healthcare applications that produce electronic health records (EHRs) and mobile health records (MHRs). When there are medical emergencies, other technologies, like alarm integration methods, are employed to notify service providers and caregivers. As they lessen the dependency on carers, smart houses are becoming more popular in industrialized nations. Thus, the market's expansion over the course of the forecast period will be fueled by the rising acceptance of such cutting-edge technical solutions.

The Aspects of the Retirement Home Services Market are Limitingits Growth

Negative Reputation Of Retirement Homes Is A Significant Barrier To Market Growth

Though living in the comfort of one's own home is always preferable, living in an old age home has its advantages. However, just a few old age facilities provide the bare minimum of quality for a comfortable stay. The cost of services supplied by old age homes is heavily influenced by the quality of those services. Many individuals enroll in retirement homes that lack basic infrastructure and services because they cannot afford the hefty service fees. Residents at nursing facilities are rarely given privacy. The environment in certain nursing facilities frequently results in despair, boredom, neglect, and, in some cases, abuse.

Impact of COVID-19 on The Retirement Home Services Market

Due to the risk of getting the virus in communal living arrangements, the pandemic has reduced demand for retirement homes. However, the epidemic has increased demand for retirement homes that provide specialized nursing care services. Retirement homes that provide specialized services for nursing care are growing more popular as individuals seek a safe and comfortable place to live. Introduction of Retirement Home Services

A retirement home is a multi-residence living complex designed for the elderly, sometimes known as an old people's home or old age home. Everyone or a couple resides in a room or suite of rooms that is akin to an apartment. There are more facilities in the building. This will include places for gathering, eating, playing, and receiving some kind of healt...

ObjectiveThe COVID-19 pandemic has had potentially severe psychological implications for older adults, including those in retirement communities, due to restricted social interactions, but the day-to-day experience of loneliness has received limited study. We sought to investigate sequential association, if any, between loneliness, activity, and affect.MethodsWe used ecological momentary assessment (EMA) with dynamic network analysis to investigate the affective and behavioral concomitants of loneliness in 22 residents of an independent living sector of a continuing care retirement community (mean age 80.2; range 68–93 years).ResultsParticipants completed mean 83.9% of EMA surveys (SD = 16.1%). EMA ratings of loneliness were moderately correlated with UCLA loneliness scale scores. Network models showed that loneliness was contemporaneously associated with negative affect (worried, anxious, restless, irritable). Negative (but not happy or positive) mood tended to be followed by loneliness and then by exercise or outdoor physical activity. Negative affect had significant and high inertia (stability).ConclusionsThe data suggest that EMA is feasible and acceptable to older adults. EMA-assessed loneliness was moderately associated with scale-assessed loneliness. Network models in these independent living older adults indicated strong links between negative affect and loneliness, but feelings of loneliness were followed by outdoor activity, suggesting adaptive behavior among relatively healthy adults.

Footnotes:1Gender refers to an individual's personal and social identity as a man, woman or non-binary person (a person who is not exclusively a man or a woman). Gender includes the following concepts: gender identity, which refers to the gender that a person feels internally and individually; gender expression, which refers to the way a person presents their gender, regardless of their gender identity, through body language, aesthetic choices or accessories (e.g., clothes, hairstyle and makeup), which may have traditionally been associated with a specific gender. A person's gender may differ from their sex at birth, and from what is indicated on their current identification or legal documents such as their birth certificate, passport or driver's licence. A person's gender may change over time. Some people may not identify with a specific gender.2Given that the non-binary population is small, data aggregation to a two-category gender variable is sometimes necessary to protect the confidentiality of responses provided. In these cases, individuals in the category “non-binary persons” are distributed into the other two gender categories and are denoted by the “+” symbol.3Age' refers to the age of a person (or subject) of interest at last birthday (or relative to a specified, well-defined reference date).4The median income of a specified group is the amount that divides the income distribution of that group into two halves, i.e., the incomes of half of the units in that group are below the median, while those of the other half are above the median. Median incomes of individuals are calculated for those with income (positive or negative).5Average income of a specified group is calculated by dividing the aggregate income of that group by the number of units in that group. Average incomes are calculated for those with income (positive or negative).6Total income refers to the sum of certain incomes (in cash and, in some circumstances, in kind) of the statistical unit during a specified reference period. The components used to calculate total income vary between: – Statistical units of social statistical programs such as persons, private households, census families and economic families; – Statistical units of business statistical programs such as enterprises, companies, establishments and locations; and – Statistical units of farm statistical programs such as farm operator and farm family. In the context of persons, total income refers to receipts from certain sources, before income taxes and deductions, during a specified reference period. In the context of census families, total income refers to receipts from certain sources of all of its family members, before income taxes and deductions, during a specified reference period. In the context of economic families, total income refers to receipts from certain sources of all of its family members, before income taxes and deductions, during a specified reference period. In the context of households, total income refers to receipts from certain sources of all household members, before income taxes and deductions, during a specified reference period. The monetary receipts included are those that tend to be of a regular and recurring nature. Receipts that are included as income are: * employment income from wages, salaries, tips, commissions and net income from self-employment (for both unincorporated farm and non-farm activities); * income from investment sources, such as dividends and interest on bonds, accounts, guaranteed investment certificates (GICs) and mutual funds; * income from employer and personal pension sources, such as private pensions and payments from annuities and registered retirement income funds (RRIFs); * other regular cash income, such as child support payments received, spousal support payments (alimony) received and scholarships; * income from government sources, such as social assistance, child benefits, Employment Insurance benefits, Old Age Security benefits, COVID-19 benefits and Canada Pension Plan and Québec Pension Plan benefits and disability income. Receipts excluded from this income definition are: * one-time receipts, such as lottery winnings, gambling winnings, cash inheritances, lump-sum insurance settlements and tax-free savings account (TFSA) or registered retirement savings plan (RRSP) withdrawals; * capital gains because they are not by their nature regular and recurring. It is further assumed that they are more relevant to the concept of wealth than the concept of income; * employers' contributions to registered pension plans, Canada Pension Plan, Québec Pension Plan and Employment Insurance; * voluntary inter-household transfers, imputed rent, goods and services produced for barter and goods produced for own consumption.7The reference period for this variable is calendar year 2019. The variable is intended for comparison with its 2020 equivalent and other 2019 income variables. Income for 2019 is presented in 2020 constant dollars.8The sum of employment income (wages, salaries and commissions, net self-employment income from farm or non-farm unincorporated business and/or professional practice), investment income, private retirement income (retirement pensions, superannuation and annuities, including those from registered retirement savings plans [RRSPs] and registered retirement income funds [RRIFs]) and other money income from market sources during the reference period. It is equivalent to total income minus government transfers. It is also referred to as income before transfers and taxes.9The reference period for this variable is calendar year 2019. The variable is intended for comparison with its 2020 equivalent and other 2019 income variables. Income for 2019 is presented in 2020 constant dollars.10All income received as wages, salaries and commissions from paid employment and net self-employment income from farm or non-farm unincorporated business and/or professional practice during the reference period.11The reference period for this variable is calendar year 2019. The variable is intended for comparison with its 2020 equivalent and other 2019 income variables. Income for 2019 is presented in 2020 constant dollars.12Gross wages and salaries before deductions for such items as income taxes, pension plan contributions and employment insurance premiums during the reference period. While other employee remuneration such as security options benefits, board and lodging and other taxable allowances and benefits are included in this source, employer's contributions to pension plans and employment insurance plans are excluded. Other receipts included in this source are military pay and allowances, tips, commissions and cash bonuses associated with paid employment, benefits from wage-loss replacement plans or income-maintenance insurance plans, supplementary unemployment benefits from an employer or union, research grants, royalties from a work or invention with no associated expenses and all types of casual earnings during the reference period.13The reference period for this variable is calendar year 2019. The variable is intended for comparison with its 2020 equivalent and other 2019 income variables. Income for 2019 is presented in 2020 constant dollars.14Net income (gross receipts minus cost of operation and capital cost allowance) received during the reference period from self-employment activities, either on own account or in partnership. In the case of partnerships, only the person's share of income is included. Net partnership income of a limited or non-active partner is excluded. It includes farming income, fishing income and income from unincorporated business or professional practice. Commission income for a self-employed commission salesperson and royalties from a work or invention with expenses associated are also included in this source.15The reference period for this variable is calendar year 2019. The variable is intended for comparison with its 2020 equivalent and other 2019 income variables. Income for 2019 is presented in 2020 constant dollars.16All cash benefits received from federal, provincial, territorial or municipal governments during the reference period. It includes: * Old Age Security pension, Guaranteed Income Supplement, Allowance or Allowance for the Survivor; * retirement, disability and survivor benefits from Canada Pension Plan and Québec Pension Plan; * benefits from Employment Insurance and Québec parental insurance plan; * child benefits from federal and provincial programs; * social assistance benefits; * workers' compensation benefits; * Canada workers benefit (CWB); * Goods and services tax credit and harmonized sales tax credit; * other income from government sources. For the 2021 Census, this includes various benefits from new and existing federal, provincial and territorial government income programs intended to provide financial support to individuals affected by the COVID-19 pandemic and the public health measures implemented to minimize the spread of the virus.17The reference period for this variable is calendar year 2019. The variable is intended for comparison with its 2020 equivalent and other 2019 income variables. Income for 2019 is presented in 2020 constant dollars.18Refers to the sum of payments received from COVID-19 - Emergency and recovery benefits and Employment Insurance (EI) benefits.19The reference period for this variable is calendar year 2019. The variable is intended for comparison with its 2020 equivalent and other 2019 income variables. Income for 2019 is presented in 2020 constant dollars. In 2019, earning replacement benefits is equal to Employment Insurance (EI) benefits.20All Employment Insurance (EI) benefits received during the reference period, before income tax deductions. It includes benefits for unemployment, sickness, maternity, paternity, adoption, compassionate care, work sharing, retraining, and benefits to self-employed fishers

The Interviews of 61-Year-Olds study is part of the Jyväskylä Longitudinal Study of Personality and Social Development (JYLS), which has followed the same individuals since 1968. This research wave explores the lives of participants, now around 61 years old, across key areas such as family, work, housing, health and leisure. Data collection for this phase included a life situation questionnaire, a psychological interview, self-assessment forms, a health examination and monitoring of physical activity. At the beginning of the psychological interview, a life history calendar (FSD4023) was completed. The semi-structured interview covered themes including mental well-being, identity, leisure, family and other relationships, work, perceptions of ageing, life events, and future orientation. In connection with the interview, participants also completed questionnaires (FSD4026) supplementing the above-mentioned domains. The interview assessed participants' self-perception, life satisfaction, and stress. In addition, participants' views on life, society, and politics, as well as theis lifestyle were explored. Several questions were also asked about participants' leisure time, hobbies, and health-related behaviours. Interpersonal relationships, romantic relationships, parenthood, grandparenthood, and relationships with children and grandchildren were examined with several questions. Participants were also asked about their relationships with their own parents. Work-related questions covered the significance of work, time pressures, opportunities for influence, challenges, uncertainties, recovery, and the balance between work and private life. Experiences of ageing and future plans were examined by asking about retirement, age-related changes, age discrimination, and personal goals. In relation to the pandemic, participants were asked about their thoughts on the coronavirus situation and how COVID 19 had affected social contact, job insecurity, and participation in physical activity.

Footnotes:1Gender refers to an individual's personal and social identity as a man, woman or non-binary person (a person who is not exclusively a man or a woman). Gender includes the following concepts: gender identity, which refers to the gender that a person feels internally and individually; gender expression, which refers to the way a person presents their gender, regardless of their gender identity, through body language, aesthetic choices or accessories (e.g., clothes, hairstyle and makeup), which may have traditionally been associated with a specific gender. A person's gender may differ from their sex at birth, and from what is indicated on their current identification or legal documents such as their birth certificate, passport or driver's licence. A person's gender may change over time. Some people may not identify with a specific gender.2Given that the non-binary population is small, data aggregation to a two-category gender variable is sometimes necessary to protect the confidentiality of responses provided. In these cases, individuals in the category “non-binary persons” are distributed into the other two gender categories and are denoted by the “+” symbol.3Age' refers to the age of a person (or subject) of interest at last birthday (or relative to a specified, well-defined reference date).4The median income of a specified group is the amount that divides the income distribution of that group into two halves, i.e., the incomes of half of the units in that group are below the median, while those of the other half are above the median. Median incomes of individuals are calculated for those with income (positive or negative).5Average income of a specified group is calculated by dividing the aggregate income of that group by the number of units in that group. Average incomes are calculated for those with income (positive or negative).6Total income refers to the sum of certain incomes (in cash and, in some circumstances, in kind) of the statistical unit during a specified reference period. The components used to calculate total income vary between: – Statistical units of social statistical programs such as persons, private households, census families and economic families; – Statistical units of business statistical programs such as enterprises, companies, establishments and locations; and – Statistical units of farm statistical programs such as farm operator and farm family. In the context of persons, total income refers to receipts from certain sources, before income taxes and deductions, during a specified reference period. In the context of census families, total income refers to receipts from certain sources of all of its family members, before income taxes and deductions, during a specified reference period. In the context of economic families, total income refers to receipts from certain sources of all of its family members, before income taxes and deductions, during a specified reference period. In the context of households, total income refers to receipts from certain sources of all household members, before income taxes and deductions, during a specified reference period. The monetary receipts included are those that tend to be of a regular and recurring nature. Receipts that are included as income are: * employment income from wages, salaries, tips, commissions and net income from self-employment (for both unincorporated farm and non-farm activities); * income from investment sources, such as dividends and interest on bonds, accounts, guaranteed investment certificates (GICs) and mutual funds; * income from employer and personal pension sources, such as private pensions and payments from annuities and registered retirement income funds (RRIFs); * other regular cash income, such as child support payments received, spousal support payments (alimony) received and scholarships; * income from government sources, such as social assistance, child benefits, Employment Insurance benefits, Old Age Security benefits, COVID-19 benefits and Canada Pension Plan and Québec Pension Plan benefits and disability income. Receipts excluded from this income definition are: * one-time receipts, such as lottery winnings, gambling winnings, cash inheritances, lump-sum insurance settlements and tax-free savings account (TFSA) or registered retirement savings plan (RRSP) withdrawals; * capital gains because they are not by their nature regular and recurring. It is further assumed that they are more relevant to the concept of wealth than the concept of income; * employers' contributions to registered pension plans, Canada Pension Plan, Québec Pension Plan and Employment Insurance; * voluntary inter-household transfers, imputed rent, goods and services produced for barter and goods produced for own consumption.7The reference period for this variable is calendar year 2019. The variable is intended for comparison with its 2020 equivalent and other 2019 income variables. Income for 2019 is presented in 2020 constant dollars.8The sum of employment income (wages, salaries and commissions, net self-employment income from farm or non-farm unincorporated business and/or professional practice), investment income, private retirement income (retirement pensions, superannuation and annuities, including those from registered retirement savings plans [RRSPs] and registered retirement income funds [RRIFs]) and other money income from market sources during the reference period. It is equivalent to total income minus government transfers. It is also referred to as income before transfers and taxes.9The reference period for this variable is calendar year 2019. The variable is intended for comparison with its 2020 equivalent and other 2019 income variables. Income for 2019 is presented in 2020 constant dollars.10All income received as wages, salaries and commissions from paid employment and net self-employment income from farm or non-farm unincorporated business and/or professional practice during the reference period.11The reference period for this variable is calendar year 2019. The variable is intended for comparison with its 2020 equivalent and other 2019 income variables. Income for 2019 is presented in 2020 constant dollars.12Gross wages and salaries before deductions for such items as income taxes, pension plan contributions and employment insurance premiums during the reference period. While other employee remuneration such as security options benefits, board and lodging and other taxable allowances and benefits are included in this source, employer's contributions to pension plans and employment insurance plans are excluded. Other receipts included in this source are military pay and allowances, tips, commissions and cash bonuses associated with paid employment, benefits from wage-loss replacement plans or income-maintenance insurance plans, supplementary unemployment benefits from an employer or union, research grants, royalties from a work or invention with no associated expenses and all types of casual earnings during the reference period.13The reference period for this variable is calendar year 2019. The variable is intended for comparison with its 2020 equivalent and other 2019 income variables. Income for 2019 is presented in 2020 constant dollars.14Net income (gross receipts minus cost of operation and capital cost allowance) received during the reference period from self-employment activities, either on own account or in partnership. In the case of partnerships, only the person's share of income is included. Net partnership income of a limited or non-active partner is excluded. It includes farming income, fishing income and income from unincorporated business or professional practice. Commission income for a self-employed commission salesperson and royalties from a work or invention with expenses associated are also included in this source.15The reference period for this variable is calendar year 2019. The variable is intended for comparison with its 2020 equivalent and other 2019 income variables. Income for 2019 is presented in 2020 constant dollars.16All cash benefits received from federal, provincial, territorial or municipal governments during the reference period. It includes: * Old Age Security pension, Guaranteed Income Supplement, Allowance or Allowance for the Survivor; * retirement, disability and survivor benefits from Canada Pension Plan and Québec Pension Plan; * benefits from Employment Insurance and Québec parental insurance plan; * child benefits from federal and provincial programs; * social assistance benefits; * workers' compensation benefits; * Canada workers benefit (CWB); * Goods and services tax credit and harmonized sales tax credit; * other income from government sources. For the 2021 Census, this includes various benefits from new and existing federal, provincial and territorial government income programs intended to provide financial support to individuals affected by the COVID-19 pandemic and the public health measures implemented to minimize the spread of the virus.17The reference period for this variable is calendar year 2019. The variable is intended for comparison with its 2020 equivalent and other 2019 income variables. Income for 2019 is presented in 2020 constant dollars.18Refers to the sum of payments received from COVID-19 - Emergency and recovery benefits and Employment Insurance (EI) benefits.19The reference period for this variable is calendar year 2019. The variable is intended for comparison with its 2020 equivalent and other 2019 income variables. Income for 2019 is presented in 2020 constant dollars. In 2019, earning replacement benefits is equal to Employment Insurance (EI) benefits.20All Employment Insurance (EI) benefits received during the reference period, before income tax deductions. It includes benefits for unemployment, sickness, maternity, paternity, adoption, compassionate care, work sharing, retraining, and benefits to self-employed fishers

• A reduced set of the official results of the 2020 FI Survey from Reddit (r/financialindependence). Only responses that represent the respondent (not other contributors in the household) are listed. Does not include retired individuals. As per instructed, respondents give dollar values in their native currency.
• A data frame with 1998 rows and 65 variables.

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The new pension reform of 2023 was adopted on March 17th. But according to a survey conducted at the beginning of March only ** percent of French respondents had accepted the raise of legal retirement age from ** to **. Weaknesses of the pension system When talking about pension schemes, it is common to distinguish between two systems: the distribution system and the capitalization system. The distribution system is based on the principle of solidarity between generations: working people pay monthly contributions to the pension funds, which redistribute them to current retirees. The capitalization system, on the other hand, requires working people to save throughout their working lives, thus accumulating a sort of rent (a capital) that they will draw on once they have retired. While in practice many countries combine the two methods, France is the exception with its system set up in 1945, based solely on distribution. Although it is presented as a stable system, unique in the world, it has a weakness: it depends on demographics and a balanced ratio between the number of active contributors and the number of retirees so that enough people can finance the pensions of older people. Yet, population aging, longer life expectancy, and the growing share of seniors in the French demographic imply that people spend more time in retirement today than they did a few decades ago. This system is therefore tending to run out of steam, which makes the question of its financing a key issue. Hence the desire of the public authorities to seek solutions to ensure its sustainability and the reform proposals. Raising legal retirement age, an ineffective measure? If the COVID 19 pandemic had made Emmanuel Macron renounce his project of universal pension - then considered unfair by Solidaires Finances Publiques (1st union of the French Public Finance Department) - the government would not abandoned the idea of a reform, which made the preservation of the social model depend. This time, the goal is financial: pension expenses represented **** percent of the gross domestic product in 2023, and are increasing, and the current government persists in wanting to reduce the share of wealth devoted to these expenses. However, although the postponement of the legal retirement age is presented as a necessary measure by the government, Solidaires Finances Publiques estimated, in its fiscal and social report of the five-year term, that "in a context of mass unemployment, raising the retirement age is an economic aberration that only shifts the question of financing inactivity to other social benefits (unemployment, disability, minimum income)". According to the Cour des Comptes (France's supreme audit institution), the increase in the legal retirement age from ** to ** in 2017 generated approximately ************* euros in additional expenses. Raising the legal retirement age without addressing the issue of unemployment, and in particular that of seniors, and without measures to improve working conditions would thus be a dead end according to unions.Presenting pension reform as the only way to preserve the French social model has an advantage for the presidential majority. This assertion makes it possible to disqualify anyone who would protest against the reform, which many consider to be anti-social and which would lead to a significant loss of income for part of the population. By making the pension reform the only way to preserve a unique system in the world, the government, through its rhetoric, presents the opponents as the destroyers of the French social system, which it could perpetuate by making other budgetary choices, such as the fight against tax evasion, which costs France several billions of euros each year, the implementation of a tax on super-profits, or the re-establishment of the wealth tax.

The COVID-19 pandemic created critical challenges with preventing and managing outbreaks in long-term care homes (LTCH) and retirement homes (RH) in Canada and worldwide. To further understand these gaps, our research team identified and appraised guidelines regarding preventing and managing COVID-19 LTCH transmission. These guidelines suggested that robust surveillance and monitoring programs accompanied by environmental cleaning measures and supporting personal protective equipment (PPE) use, hand/respiratory hygiene, essential visitor policies, and physical distancing are the optimal approach. This evidence was in-line with the IPAC best practices outlined in PHO’s LTCH IPAC screening surveys and checklists. We used these guidelines to create a rapidly scalable intervention to support wellness, infection prevention and control (IPAC), vaccine uptake, and other wraparound care needs (titled Wellness Hub) to improve wellbeing and prevent infections across LTCH/RH staff, residents, their families and household members.

The purpose of our study is to estimate 1) the change in prevalence of, as well as correlates of, prior SARS-CoV-2 infection, 2) factors associated with infection, and to understand 3) immune correlates of infection and disease in a diverse population of LTCH/RH residents, their families, LTCH/RH staff and their household members. Additionally, the purpose of this study is to use an integrated knowledge translation (KT) approach to implement and evaluate the impact of Wellness Hub in preventing infections across these four populations. Wellness Hub will integrate immunity study results to tailor delivery to improve COVID-19 preparedness and outbreak management

Overall, Wellness Hub is a research and support program designed to aid long-term Care and retirement homes in their pandemic response.

As per Cognitive Market Research's latest published report, the Global Pension Administration Software market size was $5.21 Billion in 2022 and it is forecasted to reach $12.16 Billion by 2030. Pension Administration Software Industry's Compound Annual Growth Rate will be 11.87% from 2023 to 2030. What is Driving Pension Administration Software Market?

Increasing advancement in technology for pension administration software helps to enhance the organization’s bottom line, and efficiencies across the board and decrease procurement costs. This is the key factor expected to drive the growth of the pension administration software market. In addition, investing and managing pension funds in retired employees’ saving accounts is made easy to adopt pension administration software technology expected to drive the growth of the target market.

Pension Administration Software Market Opportunities:

Increasing technological advancements such as the automatic process of pension fund allocation, less process time less paperwork, and innovative technology are projected to create growth opportunities for the pension administration software market.

Rising adoption of cloud-based services are fueling the market

One of the primary drivers of the Pension Administration Software market is the increasing move toward cloud-based solutions, which have many benefits over traditional, on-premises models. Cloud-based pension administration software supports scalability, flexibility, and cost-efficiency, which are particularly attractive to pension funds of all sizes. Unlike traditional systems, cloud platforms reduce the need to support physical servers or in-house IT staff, and hence have greatly reduced infrastructure and maintenance expenses. These systems also provide real-time updates, software upgrades on auto-pilot, and advanced cybersecurity functionalities, promoting compliance with changing regulatory demands without the need for manual inputs. Cloud-based solutions facilitate smooth data access, management, and sharing between departments or geographic locations, facilitating more effective and cooperative pension administration operations. For instance, Bhavishya Portal, developed by the National Informatics Centre (NIC). This online Pension Sanction and Payment Tracking System ensures timely issuance of Pension Payment Orders (PPOs) and disbursement of retirement benefits. (Source - https://bhavishya.nic.in/ ) Furthermore, cloud platforms support remote access, a feature whose significance has drastically increased in the post-pandemic work setup. This convenience permits pension administrators and stakeholders to access information and execute necessary tasks from anywhere, enhancing responsiveness and decision-making. More and more organizations seeking to digitize their pension systems at affordable costs means that the market for cloud-based pension administration software is increasing, propelling the entire market.

Pension Administration Software Market Restraints:

Technology limitations for old age people and the technology to streamline the work associated with a pension is a task and making the aging acquainted. This is anticipated to hamper the growth of the pension administration software market.

Opportunity

Growing adoption of e-government initiatives on a global basis is an opportunity for the market One of the major opportunities available to the Pension Administration Software market is in the growing adoption of e-government initiatives on a global basis, particularly across emerging economies. Governments are getting more interested in modernizing archaic pension programs in order to enhance transparency, lower administrative fault, and provide timely services to pensioners. This transition presents a huge chance for software firms to provide scalable, end-to-end solutions optimized for public pension plans. For instance, Bhavishya Portal, developed by the National Informatics Centre (NIC) under the Ministry of Personnel, Public Grievances & Pensions. For example, numerous governments are currently seeking to centralize pension information and automate the payment of retirement benefits via digital platforms. This generates demand for pension administration software that enables functionalities such as automated calculations, compliance monitoring, e-filing, digital identity authenticati...