This statistic illustrates the distribution of adult population in Taiwan in 2022 by wealth range group. That year, approximately 48.5 percent of adults in Taiwan had wealth of 100,000 to one million U.S. dollars.

Taiwan: ATMs per 100,000 adults: Pour cet indicateur, La Banque mondiale fournit des données pour la Taiwan de à . La valeur moyenne pour Taiwan pendant cette période était de ATMs per 100,000 adults avec un minimum de ATMs per 100,000 adults en et un maximum de ATMs per 100,000 adults en .

According to a survey on the opinion towards Taiwan's international relations, about 54 percent of female respondents supported closer economic ties with mainland China, higher than 50 percent of male respondents. Overall, about 39 percent of female respondents had favorable views of mainland China.

Taiwan Labour Force Participation Rate: Female: Youth Adults: Aged 25+ data was reported at 53.739 % in 2020. This records a decrease from the previous number of 53.844 % for 2019. Taiwan Labour Force Participation Rate: Female: Youth Adults: Aged 25+ data is updated yearly, averaging 48.432 % from Dec 1978 (Median) to 2020, with 43 observations. The data reached an all-time high of 54.298 % in 2014 and a record low of 32.862 % in 1978. Taiwan Labour Force Participation Rate: Female: Youth Adults: Aged 25+ data remains active status in CEIC and is reported by International Labour Organization. The data is categorized under Global Database’s Taiwan – Table TW.ILO.LFS: Labour Force Participation Rate: By Sex and Age: Annual.

BackgroundPredicting physical function upon discharge among hospitalized older adults is important. This study has aimed to develop a prediction model of physical function upon discharge through use of a machine learning algorithm using electronic health records (EHRs) and comprehensive geriatrics assessments (CGAs) among hospitalized older adults in Taiwan.MethodsData was retrieved from the clinical database of a tertiary medical center in central Taiwan. Older adults admitted to the acute geriatric unit during the period from January 2012 to December 2018 were included for analysis, while those with missing data were excluded. From data of the EHRs and CGAs, a total of 52 clinical features were input for model building. We used 3 different machine learning algorithms, XGBoost, random forest and logistic regression.ResultsIn total, 1,755 older adults were included in final analysis, with a mean age of 80.68 years. For linear models on physical function upon discharge, the accuracy of prediction was 87% for XGBoost, 85% for random forest, and 32% for logistic regression. For classification models on physical function upon discharge, the accuracy for random forest, logistic regression and XGBoost were 94, 92 and 92%, respectively. The auROC reached 98% for XGBoost and random forest, while logistic regression had an auROC of 97%. The top 3 features of importance were activity of daily living (ADL) at baseline, ADL during admission, and mini nutritional status (MNA) during admission.ConclusionThe results showed that physical function upon discharge among hospitalized older adults can be predicted accurately during admission through use of a machine learning model with data taken from EHRs and CGAs.

According to a survey on the opinion towards Taiwan's international relations, about 57 percent of the respondents with more education supported closer economic ties with mainland China, higher than 49 percent of respondents with less education. About 36 percent of respondents with more education supported closer political relations with mainland China.

In Taiwan Adult Diaper Market, The growing focus on dignity, hygiene, and quality of life among elderly citizens, combined with a rising incidence of chronic health issues such as diabe

"INTRODUCTION: Numerous people with chronic conditions like to use traditional Chinese medicine (TCM) treatment, or integrated treatment of TCM and Western medicine (WM). Our study explored the associations between multiple chronic conditions (MCC) and TCM use and the use of specific types of TCM therapy among adults in Taiwan. In addition, we explored the TCM use of adults with seven common types of chronic conditions.

METHODS: In our study, a national representative sample in 2005 was used. The Chronic Condition Indicator and the Clinical Classifications System created by the U.S. Agency for Healthcare Research and Quality were used to define the number of chronic conditions of adults. Logistic regressions adjusted for demographic characteristics were used to analyze the associations. The frequency of TCM use among adults with different numbers of chronic conditions was quantified.

RESULTS: TCM use for adults with ?5 chronic conditions (odds ratio [OR] 1.86) was higher than TCM use for adults with 2-4 chronic conditions (OR 1.51) and TCM use for adults with one chronic condition (OR 1.48). The increase in the OR of the use of Chinese herbs and traumatology manipulative therapy according to the number of chronic conditions was not as substantial as that of acupuncture-moxibustion. The frequency of TCM use exhibited an increasing trend with the increase in the number of chronic conditions (p＜.001). Among the seven common types of chronic conditions for adults, TCM use for adults with arthropathy (OR 2.01) was the highest.

CONCLUSION: The probability and frequency of TCM use increased as the number of chronic conditions increased. The probability of Chinese herbs use, traumatology manipulative therapy use, and, particularly, acupuncture-moxibustion use increased as the number of chronic conditions increased. We suggest that government policy makers emphasize administering integrated TCM and WM care to people with chronic conditions or MCC."

Graph and download economic data for Purchasing Power Parity Converted GDP Chain per equivalent adult for Taiwan (RGDPEQTWA626NUPN) from 1951 to 2010 about Taiwan, adult, chained, PPP, and GDP.

Taiwan Labour Force Participation Rate: Youth Adults: Aged 15-24 data was reported at 36.522 % in 2020. This records an increase from the previous number of 36.105 % for 2019. Taiwan Labour Force Participation Rate: Youth Adults: Aged 15-24 data is updated yearly, averaging 36.522 % from Dec 1978 (Median) to 2020, with 43 observations. The data reached an all-time high of 53.529 % in 1978 and a record low of 28.571 % in 2011. Taiwan Labour Force Participation Rate: Youth Adults: Aged 15-24 data remains active status in CEIC and is reported by International Labour Organization. The data is categorized under Global Database’s Taiwan – Table TW.ILO.LFS: Labour Force Participation Rate: By Sex and Age: Annual.

Historical price and volatility data for Bitcoin Adult in Taiwan New Dollar across different time periods.

Adults in Taiwan are still using Facebook more than any other social network platforms. A 2023 survey reported around 47 percent of surveyed Taiwanese internet users were using Facebook. Instagram followed with a huge discrepancy. The share of respondents was below 20 percent.

Facebook in Taiwan

Facebook dominates the social network landscape in Taiwan. The U.S. tech giant once stated the island has one of the world’s highest per capita penetration rate. With a high audience reach and user engagement, the platform is regarded as an essential marketing channel, especially among small and medium-sized business. However, its instant messenger is still facing a serious competition against LINE, which has been the most popular chat app in the island for the past years.

The fall of the social media giant

Although Facebook is more widely used among Taiwanese users, YouTube is used more frequently on a daily basis. On average, Taiwanese internet users spent almost 1.5 hours on the video-sharing platform per day. On the other hand, Facebook's popularity has been declining, not only in Taiwan but also worldwide. Instagram and TikTok were more beloved among Taiwanese younger generations.

Odds ratios and 95% confidence intervals for the risk of having suicide ideation (N = 1,343).

Data sets of information regarding the health and well-being of older persons in Taiwan (from 2000 and 2006), in particular the relationship between life challenges and mental and physical health, the impact of social environment on the health and well-being of the elderly, and biological markers of health and stress. The study collected self-reports of physical, psychological, and social well-being, plus extensive clinical data based on medical examinations and laboratory analyses. Examination of health outcomes included chronic illnesses, functional status, psychological well-being, and cognitive function. Questions regarding life challenges focused on perceived stress, economic difficulties, security and safety, and the consequences of a major earthquake. Biological markers were used to identify cardiovascular risk factors, metabolic process measures, immune-system activity, the hypothalamic-pituitary adrenal axis, and sympathetic nervous system activity. The study design consists of face-to-face interviews with participants drawn from a random sub-sample of participants from 27 PSUs from the 1999 Survey of Health and Living Status of the Middle Aged and Elderly in Taiwan. Hospital visits and blood and urine specimens also were collected. A second wave of SEBAS was conducted in 2006 using a similar protocol to SEBAS 2000, but with the addition of performance assessments conducted by the interviewers at the end of the home interview. * Dates of Study: -2000, 2006 * Study Features: Longitudinal, International, Anthropometric Measures * Sample Size: 27 PSUs

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Background: Single-item measures of physical and mental health are feasible for older adults, but their validity for that age group is unclear. This study tested validity of a global self-rated health and a global self-rated happiness measure in a large sample of community-dwelling older adults in Taiwan.Methods: A cross-sectional sample of 3,982 men and women aged 65 or older in Yilan, Taiwan, provided data on global self-rated health and happiness using 100-point numerical scales. The Physical Component Summary of the 12-Item Short Form Health Survey (version 2) and the Groningen Activity Restriction Scale were used to test the validity of the self-rated health item. The Mental Component of that 12-item scale and the Hospital Anxiety and Depression Scale were validators regarding the self-rated happiness item. Criterion validity was tested using the 12-Item Short Form Health Survey (version 2).Results: The correlations between the self-rated health and happiness measures and the 12-Item Short Form Health Survey (version 2) validators were positive and statistically significant, supporting convergent validity. Sufficient divergent validity was demonstrated through the negative and significant relationship between the self-rated health item and the Groningen Activity Restriction Scale scores and the negative and significant relationship between the self-rated happiness item and the Hospital Anxiety and Depression Scale. Optimal cut-off scores for physical and mental health states depended on age and gender.Conclusion: The global self-rated health and happiness measures were validated. Cut-off scores for evaluating older adults' physical and mental health should be age- and gender-specific.

Taiwan Labour Force Participation Rate: Male: Youth Adults: Aged 15+ data was reported at 67.240 % in 2020. This records a decrease from the previous number of 67.340 % for 2019. Taiwan Labour Force Participation Rate: Male: Youth Adults: Aged 15+ data is updated yearly, averaging 69.930 % from Dec 1978 (Median) to 2020, with 43 observations. The data reached an all-time high of 77.960 % in 1978 and a record low of 66.400 % in 2009. Taiwan Labour Force Participation Rate: Male: Youth Adults: Aged 15+ data remains active status in CEIC and is reported by International Labour Organization. The data is categorized under Global Database’s Taiwan – Table TW.ILO.LFS: Labour Force Participation Rate: By Sex and Age: Annual.

ObjectivesMost researchers have examined forms of loneliness as discrete and emotional distress. The approach proposed in this study captures the reality that many persons experience more than one dimension of loneliness—varying degrees coupled with their psychological well-being in a family context. This study explores the latent structure of loneliness during young adulthood and its association with psychological well-being, as well as how these are related to their family characteristics in adolescence.MethodsData are from 2,748 young people, a cohort sample from the Taiwan Youth Project (TYP). Loneliness was assessed by a 6-item de Jong-Gierveld short scale with emotional and social loneliness domains. We describe the clustering between loneliness domains and psychological well-being, namely depressive symptoms, self-esteem, suicidal thoughts, and alcohol use using latent class cluster analysis. In addition to incorporating the Taiwanese family context, multivariate multinomial logistic regression models included data on family cohesion and parental guan (parental control) in adolescence. This might be associated with choices in partnership and childbearing, and influence loneliness in young adulthood.ResultsOur results demonstrate a three-cluster model of loneliness involving emotional loners, serious emotional loners, and severe emotional/social loners. We also found that a feeling of serious emotional loneliness and severe emotional/social loneliness were significantly associated with psychological well-being, even adjusting for individual characteristics. Among young adults who had a partner, the married adults were significantly less likely to feel serious emotional loneliness than those who were living alone. Furthermore, young adults with stronger family cohesion during early adolescence were less likely to suffer from serious emotional loneliness (Relative risk ratios [RRR] 0.77, 95% CI 0.65–0.91) and severe emotional/social loneliness (RRR 0.54, 95% CI 0.34–0.85) in young adulthood.DiscussionThis measurement strategy provides a foundation for future research into how experts can address loneliness clusters in order to better understand psychological well-being during young adulthood and family context in adolescence. This is important because our results suggest that the various loneliness domains do not occur independently, but rather are embedded in patterns and are associated with family characteristics.

An Example of Dietary Fiber Intake Calculation. (DOC)

According to a projected five-year age distribution of the population of Taiwan as of end of 2024, the largest age cohort was that between 40 and 44 years of age, amounting to around two million people. The total population of Taiwan ranged at approximately 23.4 million people at the end of 2024. A breakdown of the population by broad age groups reveals that around 69 percent of the total population was in working age between 15 and 64 years in 2024.