The total population of Taiwan stood at 23.4 million people in 2024. Between 1980 and 2024, the total population rose by 5.53 million people, though the increase followed an uneven trajectory rather than a consistent upward trend. The total population is expected to drop by 120,000 people between 2024 and 2030, showing a continuous downward movement throughout the period.This indicator describes the total population in the country at hand. This total population of the country consists of all persons falling within the scope of the census.

Key information about Taiwan population

• The Taiwan population reached 23.4 million people in Dec 2024, compared with the previously reported figure of 23.4 million people in Dec 2023
• The data reached an all-time high of 23.6 million people in Dec 2019 and a record low of 8.0 million people in Dec 1950

CEIC extends history for annual Population. The Directorate-General of Budget, Accounting and Statistics, Executive Yuan provides year-end Population. Population prior to 1957 is a Mid-year estimate sourced from the U.S. Census Bureau.


Further information about Taiwan population data

• In the latest reports, Taiwan Unemployment Rate dropped to 3.3 % in Oct 2025
• Monthly earnings of the Taiwan population was 1,891.8 USD in Sep 2025
• Taiwan Labour Force Participation Rate increased to 59.5 % in Oct 2025

In 2024, the total population of Taiwan increased to approximately 23.4 million people. The significant drop in 2021 and 2022 was mainly due to people leaving the island during the coronavirus pandemic, while the natural growth rate was also slightly negative. The return of many people in 2023 led to a growth in population. According to national statistics and projections, population numbers entered a general declining path in 2020. Taiwan's demographic development Taiwan experienced rapid population growth in the 1950s and 60s, but alongside with economic development, growth rates decreased significantly. Falling birth figures have also been attributed to Taiwan’s family planning policy, which was aimed at keeping population growth at check. This led to a situation on the island where overall population density was very high and still growing, while the total fertility rate dropped quickly and eventually reached extremely low levels compared internationally. In the 21st century, the challenges of a quickly aging society became more and more apparent and the government initiated family friendly and birth promoting policies. However, fertility still kept on decreasing and reached a historical low in 2010 at 0.9 births per woman on average, and only in recent years has the number of births increased slightly. Implications of an aging society Today's Taiwan, like many East Asian societies, faces the challenges of a rapidly aging population. While the share of the population aged 65 and older accounted to around 18 percent in 2023, it is projected to reach 43 percent in 2060. The old-age dependency ratio, which denotes the relation of people of 65 years and above to the working-age population, is expected to reach around 87 percent in those years. This puts heavy pressure on the working people and the economy as a whole. However, compared to mainland China, which is in a very much comparable demographic situation, Taiwan enjoys the advantage of a relatively wealthy society, which helps to curb the negative economic effects of an aging population.

This dataset contains Taiwan population by all provinces from 2011 to 2021.

Source: https://www.ris.gov.tw/app/portal/346

taiwan - Population for Taiwan was 2272524.00000 Thous. in January of 2024, according to the United States Federal Reserve. Historically, taiwan - Population for Taiwan reached a record high of 2272524.00000 in January of 2024 and a record low of 1762986.00000 in January of 2021. Trading Economics provides the current actual value, an historical data chart and related indicators for taiwan - Population for Taiwan - last updated from the United States Federal Reserve on December of 2025.

There were 20 576 000 Facebook users in Taiwan in December 2021, which accounted for 85.8% of its entire population. The majority of them were women - 50.9%. People aged 25 to 34 were the largest user group (5 500 000). The highest difference between men and women occurs within people aged 18 to 24, where women lead by 1 600 000.

In 2024, the average total fertility rate in Taiwan ranged at around **** children per woman over lifetime. This extremely low figure is not expected to increase over the coming years. Taiwan’s demographic development Taiwan was once known for its strong population growth. After the retreat of the Republican government to the island in 1949, the population grew quickly. However, during Taiwan’s rapid economic development thereafter, the fertility rate dropped substantially. This drastic change occurred in most East Asian countries as well, of which many have some of the lowest fertility rates in the world today. As a result, populations in many East Asian regions are already shrinking or are expected to do so soon.In Taiwan, population decreased in 2020 for the first time, and the declining trend is expected to accelerate in the years ahead. At the same time, life expectancy has increased considerably, and Taiwan’s population is now aging at fast pace, posing a huge challenge to the island’s social security net. Addressing challenges of an aging society Most east Asian countries could, until recently, afford generous public pensions and health care systems, but now need to adjust to their changing reality. Besides providing incentives to raise children, the Taiwanese government also tries to attract more immigrants by lowering requirements for permanent residency. As both strategies have been met with limited success, the focus remains on reforming the pension system. This is being done mainly by raising the retirement age, promoting late-age employment, increasing pension contributions, and lowering pension payments.

There were 16 840 000 Messenger users in Taiwan in June 2021, which accounted for 70.2% of its entire population. The majority of them were women - 50.8%. People aged 25 to 34 were the largest user group (4 300 000). The highest difference between men and women occurs within people aged 55 to 64, where women lead by 880 000.

TW: Industrial Employment data was reported at 9,936.000 Person th in 2021. This records a decrease from the previous number of 9,999.000 Person th for 2020. TW: Industrial Employment data is updated yearly, averaging 8,880.000 Person th from Dec 1991 (Median) to 2021, with 31 observations. The data reached an all-time high of 10,014.000 Person th in 2019 and a record low of 7,479.348 Person th in 1991. TW: Industrial Employment data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s Taiwan – Table TW.OECD.MSTI: Population, Labour Force and Employment: Non OECD Member: Annual. In ChineseTaipei, since 2003, the business sector includes R&D data of private enterprises in the sectors of electricity, gas and water supply; construction; and services, which were not surveyed before. Postgraduate students engaged in R&D were not included in the higher education sector until 2002. Defence GBARD is included from 2001.

The dataset provides detailed insights into mortality rates across different causes of death for the years 2018 to 2021. Each entry is characterized by an ICD-10 code, the year of record, gender (M/F), and a description of the cause of death in both English and Mandarin. The data further dives into metrics like the total death toll, the mortality rate per 100,000 population, the standardized mortality rate per 100,000 population, and the mortality structure percentage.

Sources: https://data.gov.tw/

In 2024, Taiwan’s gross domestic product amounted to around 782.44 billion U.S. dollars. Gross domestic product (GDP) denotes the aggregate value of all services and goods produced within a country in any given year. Taiwan’s GDP is projected to reach 960.13 billion U.S. dollars by 2030. Taiwan has the largest economy of any nation not a member of the United Nations (UN). Analyzing Taiwan’s economy Taiwan’s services sector generates the highest share of its GDP, at around 62 percent, though its industry sector also contributes about 35 percent to overall GDP in Taiwan. During the last decade, Taiwan has consistently held a trade surplus, and is known for its exports of electronics, machinery, and petrochemicals. Taiwan’s population Taiwan is a densely populated state, with a total population of about 23 million people, most of whom are between the ages of 15-64 years. Many members of the population are working; the unemployment rate was at only 3.8 percent in 2017. As one of the world’s technology hardware centers, Taiwan’s work force is comprised of high-skilled workers capable of navigating new technologies, such as artificial intelligence and blockchain.

Demographic processes that ensure the recovery and resilience of marine populations are critical as climate change sends an increasing proportion on a trajectory of decline. Yet for some populations, recovery potential remains high. We conducted annual monitoring over 9-years (2012–2020) to assess the recovery of coral populations belonging to genus Pocillopora. These populations experienced a catastrophic collapse following a severe typhoon in 2009. From the start of the monitoring period, high initial recruitment led to the establishment of a juvenile population that rapidly transitioned to sexually mature adults, which dominated the population within six years after the disturbance. As a result, coral cover increased from 1.1% to 20.2% during this time. To identify key demographic drivers of recovery and population growth rates (λ), we applied kernel resampled Integral Projection Models (IPMs), constructing eight successive models to examine annual change. IPMs were able to capture reproductive traits as key demographic drivers over the initial 3 years, whilst individual growth was a continuous key demographic driver throughout the entire monitoring period. IPMs further detected a pulse of reproductive output subsequent to two further Category 5 typhoon events during the monitoring period, exemplifying key mechanisms of resilience for coral populations impacted by disturbance. Despite rapid recovery, (i.e., increased coral cover, individual colony growth, low mortality), IPMs estimated predominantly negative values of λ, indicating a declining population. Indeed, whilst λ translates to a change in the number of individuals, the recovery of coral populations can also be driven by an increase in the size of coral surviving colonies. Our results illustrate that accumulating long-term data of historical dynamics and applying IPMs to extract demographic drivers are crucial for future predictions that are based on comprehensive and robust understandings of ecological change. Methods Data collection Orchid Island (22°03′N, 121°32′E) is a 45 km2 volcanic, tropical island 64 km off the coast of Taiwan, encircled by a narrow fringing reef (5–10 m depth), leading to a dramatic drop-off. Such reef topography is sensitive to typhoons that are both frequent and intense in the region (Ribas-Deulofeu et al., 2021). In 2009, the island was severely affected by Typhoon Morakot (Hall et al., 2013), the deadliest typhoon to hit Taiwan in recorded history, which caused a ~66% decline in mean live coral cover (~60% to ~20%) along reefs in southern Taiwan (Kuo et al., 2011). Three years after this major disturbance in 2012, three parallel 20 m transects were established at ~8 m depth spaced ~2.5 m apart at a site to the southwest of the island (named Green Grassland; 22°00'N 121°34'E). Usually, this reef site is relatively sheltered from both the waves generated by the winter north-easterly monsoon and summer south-westerly winds. However, on this occasion was proven susceptible to the typhoon in 2009, impacted by a west to south-westerly swell. To the side of each transect, 50 cm × 50 cm permanent quadrats (n = 11) were haphazardly positioned to assess demographic changes over time (Appendix S1: Figure S1 and Figure S2). A total of 33 quadrats were made permanent by placing markers (iron pegs) at each corner with tags attached indicating the designated identification number, making the quadrat easier to detect for future monitoring. With this method, only four quadrats were lost in subsequent surveys, whereas the position of the other quadrats (n = 29) remained. However, the precise location may slightly vary due to the ever-changing dynamics of the reef. For this reason, when quadrats were placed at each marked position, a wide-scale community picture was taken ca. 2 m above the substrate, in order to correct any error in positioning during the analysis, if necessary (Appendix S1: Figure S1a). The quadrat was then photographed at a higher-resolution ca. 1 m above the substrate in order to capture the overall benthic composition (Appendix S1: Figure S1b). The quadrat was then divided into four sections, which were individually captured in order to attain high-resolution images of individual colonies (Appendix S1: Figure S1c). In each of these sections, smaller sized individuals (ca. < 5 cm in length) were photographed with close-up images and scale. This protocol was repeated annually between 2012 and 2020. From photographs of the 29 permanent quadrats, every colony (n = 336) observed was first measured for its two-dimensional (2D) colony size (projected area) using Image J software (Schneider, Rasband and Eliceiri, 2012). The 2D colony size was used for the analysis of annual change in coral cover. Coral cover (%) was determined by measuring the sum of 2D projected areas of coral colonies relative to the area of all quadrats combined. All quadrats were originally occupied by Pocillopora, but from 2016 to the end of the monitoring period, 1 quadrat was empty of Pocillopora colonies with the cover calculation still taking this area into consideration. In the rare case of a slight overlap of colonies (n = 4), the 2D projected area could be easily deduced for the unseen part of colonies. Measurement of demographic vital rates In this study, we focused on locally dominant genus Pocillopora spp. The relative contribution of species to the Pocillopora complex was genetically examined by randomly sampling colonies at the site and barcoding mtORF region after extraction of genomic DNA (Johnston, Forsman and Toonen, 2018). Out of 31 sampled Pocillopora colonies, 17 were P. verrucosa and 14 were P. meandrina (Appendix S1: Table S1 and S2). Besides the two dominant Pocillopora species, there were at least two other Pocillopora species present; Pocillopora eydouxi and Pocillopora sp. These species are broadcast-spawners, with the exception of Pocillopora sp., which is a brooder (Mulla et al. 2021). Due to the difficulty in identifying species morphologically in the field, especially at the early life stages, we treated species as a Pocillopora complex (Pocillopora populations). As corals are 3D structures, colony size (surface area) was used for Pocillopora colonies in the IPMs, which allowed us to build higher-resolution models. 3D surface area (cm2) was allometric and estimated from 2D projections using a pre-established relationship. Detailed information on the 2D to 3D conversion can be found in Appendix Figure S3. We extracted information on colony growth, survival and recruitment of Pocillopora populations over the 9-year period using size-thresholds in 3D to distinguish visible recruits (0.4–10 cm2; n = 154), juveniles (10.1–100 cm2; n = 369) and adults (> 100.1 cm2; n = 532). These threshold for visible recruits was determined from the size range of newly appearing individuals from each year from the second year of monitoring. The threshold for juveniles was determined by the maximum size of visible recruits and the minimum size of sexually mature individuals (described in more detail below). These thresholds differentiate sexually immature (visible recruits/juveniles) to mature (adults) individuals, used for ecological interpretation. To identify size-specific relationships of demographic traits associated with reproduction, two nubbins (~5 cm in branch length) were collected from 40 colonies of varying size of P. verrucosa (probably including P. meandrina: 68.2–685.8 cm2 in 3D size) during the reproductive season (April, 2017) at neighbouring Green Island (Lin and Nozawa, 2017). In addition, a further 20 nubbins (of the same size) were collected (68.2–364.7 cm2 in 3D size) to determine the minimum size of sexual maturity at the same time. Nubbins were fixed in a 10% formalin-seawater solution and examined using standard histological methods. Tissue of nubbins were decalcified and dehydrated in an alcohol series using a tissue processor (Thermo Scientific, Excelsior ES, USA) and embedded in paraffin wax (Thermo Scientific Histoplast PE, USA). Samples were then cut with a microtome (Thermo Scientific, Finesse 325) at 6 µm thick intervals. Xylene was used to deparaffin samples and tissue sections were mounted on glass slides, stained with hematoxylin and eosin using a staining machine (Shandon Varistain, Thermo Scientific, USA) and then preserved with Organol/Limonene mounting medium and a glass cover. Sections were examined under a BX51 light microscope (Olympus, Japan). For each nubbin, 2 polyps were haphazardly chosen and the number of oocytes per polyp was determined by observing the entire section of each polyp (a total of 4 polyps per colony). The probability of a colony being reproductively active was determined by the presence or absence of oocytes over colony size.

As of 2021, there were almost ** million e-payment users in Taiwan, which meant that more than half of the island's population used digital payments. Whereas in mainland China WeChat Pay and Alipay were the most popular mobile payment services, Taiwanese e-payment users preferred Line Pay and Apple Pay.

Taiwan: People with bank accounts, percent of the population over 14 years of age: Pour cet indicateur, La Banque mondiale fournit des données pour la Taiwan de 2011 à 2021. La valeur moyenne pour Taiwan pendant cette période était de 91.9 pour cent avec un minimum de 87.31 pour cent en 2011 et un maximum de 94.71 pour cent en 2021.

As of the end of 2021, Facebook advertising was estimated to reach around 16.35 million people in Taiwan, nearly 69 percent of its total population. As reported earlier in that year, more than 63 percent of such ad audience in Taiwan accessed Facebook only via mobile phones.

Percentage of Population Exposure to Hot Days在2021达0.000%，相较于2020的35.900%有所下降。Percentage of Population Exposure to Hot Days数据按每年更新，1990至2021期间平均值为0.000%，共32份观测结果。该数据的历史最高值出现于2020，达35.900%，而历史最低值则出现于2021，为0.000%。CEIC提供的Percentage of Population Exposure to Hot Days数据处于定期更新的状态，数据来源于Organisation for Economic Co-operation and Development，数据归类于Global Database的中国台湾地区 – Table TW.OECD.GGI: Social: Air Quality and Health: Non OECD Member: Annual。

Percentage of Population Exposure to Icing Days在2021达0.000%，相较于2020的0.000%保持不变。Percentage of Population Exposure to Icing Days数据按每年更新，1990至2021期间平均值为0.000%，共32份观测结果。该数据的历史最高值出现于2016，达15.570%，而历史最低值则出现于2021，为0.000%。CEIC提供的Percentage of Population Exposure to Icing Days数据处于定期更新的状态，数据来源于Organisation for Economic Co-operation and Development，数据归类于Global Database的中国台湾地区 – Table TW.OECD.GGI: Social: Air Quality and Health: Non OECD Member: Annual。

In 2024, the Italian region that registered the highest fertility rate was Trentino-South Tyrol, where the average number of children born per woman reached 1.39 infants. Over the last years, the fertility rate in Italy has constantly decreased, except for 2021, when a slight increase of 0.01 points was recorded. Fewer and fewer children born per womanThe average number of children born per woman significantly varied from the middle of the twentieth century to the present day. In 2017, Italian women were on average a mother of one child, whereas about seven decades earlier, females had on average at least two kids. The lowest fertility rates worldwide From the global perspective, Italy was one of the world's twenty countries with the lowest fertility rate in 2024. This figure in Taiwan reached only 1.11 children per woman, placing the territory on top of the ranking.

The fertility rates have fallen in all five Nordic countries over the last years. However, in 2021, the birth rates increased again in all five Nordics countries, besides in Sweden, where the fertility rate stayed the same. This can be explained by the higher number of babies born during the COVID-19 pandemic. In 2022, Iceland had the highest fertility rate of the Nordic countries, with *** children born per woman in reproductive age. The global trend of decreasing fertility The Nordics are not the only region with decreasing fertility rates. Globally, fertility rates have been on a steady decline since 2000. While lower-income countries have had more significant declines, they still have more children born per woman than higher-income countries. In 2000, almost * children were born per woman in low-income countries, decreasing to **** in 2021. By comparison, nearly **** children were born per woman in high-income countries, falling slightly to **** by 2021. Overall, in 2023, Niger, Angola, and the Democratic Republic of Congo had the highest fertility rates, while Taiwan, South Korea, and Singapore had the lowest fertility rates. Impacts of low fertility Greater access to education, challenges between work-life balance, and the costs of raising children can all be linked to falling fertility rates. However, this decline is not without consequences, and many countries are facing social and economic challenges because of aging and shrinking populations. For example, in Japan, where nearly ** percent of the country is aged 65 or older, an increasing proportion of the government expenditure is going towards social security benefits. Moreover, the very low unemployment rate in Japan can partially be attributed to having a shrinking labor force and fewer people to support the economy.

There were 9 254 300 Instagram users in Taiwan in September 2021, which accounted for 38.6% of its entire population. The majority of them were women - 53.3%. People aged 25 to 34 were the largest user group (3 400 000). The highest difference between men and women occurs within people aged 18 to 24, where women lead by 1 000 000.