In 2024, about 60.9 percent of the Chinese population was between 16 and 59 years old. Apart from the information given on broad age groups in this statistic, some more information is provided by a timeline for the age distribution and a population breakdown by smaller age groups. Demographic development in China China ranked as the second most populous country in the world with a population of nearly 1.41 billion as of mid 2024, surpassed only by India. As the world population reached more than eight billion in mid 2024, China represented almost one fifth of the global population. China's population increased exponentially between the 1950s and the early 1980s due to Mao Zedong's population policy. To tackle the problem of overpopulation, a one-child policy was implemented in 1979. Since then, China's population growth has slowed from more than two percent per annum in the 1970s to around 0.5 percent per annum in the 2000s, and finally turned negative in 2022. China's aging population One outcome of the strict population policy is the acceleration of demographic aging trends. According to the United Nations, China's population median age has more than doubled over the last five decades, from 18 years in 1970 to 37.5 years in 2020. Few countries have aged faster than China. The dramatic aging of the population is matched by slower growth. The total fertility rate, measuring the number of children a woman can expect to have in her life, stood at just around 1.2 children. This incremental decline in labor force could lead to future challenges for the Chinese government, causing instability in current health care and social insurance mechanisms. To learn more about demographic development of the rural and urban population in China, please take a look at our reports on population in China and aging population in China.

According to latest figures, the Chinese population decreased by 1.39 million to around 1.408 billion people in 2024. After decades of rapid growth, China arrived at the turning point of its demographic development in 2022, which was earlier than expected. The annual population decrease is estimated to remain at moderate levels until around 2030 but to accelerate thereafter. Population development in China China had for a long time been the country with the largest population worldwide, but according to UN estimates, it has been overtaken by India in 2023. As the population in India is still growing, the country is very likely to remain being home of the largest population on earth in the near future. Due to several mechanisms put into place by the Chinese government as well as changing circumstances in the working and social environment of the Chinese people, population growth has subsided over the past decades, displaying an annual population growth rate of -0.1 percent in 2024. Nevertheless, compared to the world population in total, China held a share of about 17 percent of the overall global population in 2024. China's aging population In terms of demographic developments, the birth control efforts of the Chinese government had considerable effects on the demographic pyramid in China. Upon closer examination of the age distribution, a clear trend of an aging population becomes visible. In order to curb the negative effects of an aging population, the Chinese government abolished the one-child policy in 2015, which had been in effect since 1979, and introduced a three-child policy in May 2021. However, many Chinese parents nowadays are reluctant to have a second or third child, as is the case in most of the developed countries in the world. The number of births in China varied in the years following the abolishment of the one-child policy, but did not increase considerably. Among the reasons most prominent for parents not having more children are the rising living costs and costs for child care, growing work pressure, a growing trend towards self-realization and individualism, and changing social behaviors.

In 2020, about 17.9 percent of the population in China had been 60 years and older. This share is growing rapidly and was estimated to reach 40 percent by 2050. China's aging population With China’s boomer generation growing old and life expectancy increasing at the same time, the number of people at an age of 60 or above nearly doubled between 2000 and 2020 and reached around 255 million. This development is even more pronounced for the age group of 80 and above, which nearly tripled and is expected to reach a size of roughly 132 million in 2050, up from only 32 million in 2020. At the same time, the share of the working-age population is forecasted to decrease gradually from 64 percent of the total population in 2020 to around 50 percent in 2050, which could pose a heavy economic strain on the social security system. The old-age dependency ratio, which denotes the relation of the old-age to the working-age population, is estimated to grow from 18.2 percent in 2020 to more than 50 percent in 2050, implying that by then, statistically, two working-age adults would have to support one elderly. Strain on the social security net During the last 15 years, China's government has successfully increased the coverage of the pension insurance and health insurance. Today, most of the people are covered by some kind of social insurance. Conditions in the pension system are generous, with a regular retirement age for males at 60 years and women at 50 or 55. With the number of retirees increasing quickly, the social insurance system is now under pressure. From an economic point of view, improving the productivity of China's economy would be the primary choice for mitigating alleged inconsistencies of the system. However, without increasing the burden on the working people while tightening payment conditions, balancing the social security net could prove to be challenging.

BackgroundThe birth rate is an important indicator of the health of the population. However, persistently low birth rate has become a pressing demographic challenge for many countries, including China. This has significant implications for sustainable population planning.MethodsThis study applied hot spot analysis and the spatiotemporal geographically weighted regression (GTWR) modeling, used panel data of 286 cities in China from 2012 to 2021 to explore the spatiotemporal heterogeneity of the relationship between the socioeconomic development and birth rate.ResultsThe research has found that 2017 was an important turning point in China’s demographic transition. The hot spot analysis reveals that the birth rate hot spots are characterized by a multipolar kernel distribution, shifting from spatial diffusion to convergence, with the cold spots mainly located in the northeast. And the GTWR modeling found that the relationship between socioeconomic development and birth rate varies and change dynamically over space and time. Key findings include: (1) the negative impact of GDP per capita on birth rates has intensified; (2) housing prices exhibit both wealth and crowding-out effects on birth rates, and there are obvious regional differences between the north and the south; (3) fiscal education expenditure on birth rates has the most pronounced income effect in the eastern region.ConclusionThis study adopts spatiotemporal perspective to reveal the spatiotemporal heterogeneity of the association between socioeconomic development and birth rate. It provides new evidence on the influence of macro factors on fertility in China. And emphasizes the importance of incorporating regional variations into population policy design.

This brief outlines the socioeconomic implications of the aging population of the People's Republic of China. Hazards of population aging, and China’s position regarding aging are discussed. The challenges ahead are then outlined: sustaining inclusive economic growth, improving mobility and quality of the labour force, and strengthening safety nets. The brief concludes with policy directions for the PRC.

In 2020, China's hair loss population amounted to *** million, women accounting for ** million. Hair loss affects Chinese people at a younger age. The majority of them have to deal with thinning hair between ** and **, two decades earlier than the previous generation.

In 2023, about ***** million people in China were estimated by the UN to be at a working age between 15 and 64 years. After a steep increase in the second half of the 20th century, the size of the working-age population reached a turning point in 2015 and figures started to decrease thereafter. Changes in the working-age population China's demographic development is characterized by a rapid change from a high fertility rate to a low one. This has caused the development of an arc shaped graph of the working age population: quickly increasing numbers before 2010, a gradual turn with a minor second peak until around 2027, and a steep decline thereafter. The expected second maximum of the graph results from the abolishment of birth control measures after 2010, which proved less successful in increasing birth figures than expected. The same turn can be seen in the number of people eligible for work, with an accelerated downturn in the years of the coronavirus pandemic, where many people left the labor force. It is very likely that the size of the labor force will rebound slightly in the upcoming years, but the extent of the rebound, which parallels the second maximum of the working age population, might be limited. China's labor market China's labor market was once defined by its abundant and cheap labor force, but competition for talent has been getting increasingly tense in recent years. This development is very likely to further intensify and extend itself into the less skilled ranks of the labor market. As the number of people who fall within the retirement age group is increasing and adding to the burden on the economy, steps to keep labor participation high are necessary. Raising the retirement age and providing incentives to stay in the labor force, are measures being implemented by Chinese government. Strategies to increase labor productivity would be ideal to mitigate the pressure on the Chinese economy, however, realizing such strategies is challenging.

Nowhere has the scale and scope of urbanization been larger than in China over the last few decades. We analyze Chinese city development between the years 1996 and 2014 using data for the urbanized components of prefecture-level cities. We show that, despite much variability and fast economic and demographic change, China is undergoing transformations similar to the historical trajectory of other urban systems. We also show that the distinguishing signs of urban economies—superlinear scaling of agglomeration effects in economic productivity and economies of scale in land use—also characterize Chinese cities. We then analyze the structure of economic change in Chinese cities using a variety of metrics, characterizing employment, firms and households. Population size estimates remain a major challenge for Chinese cities, as official numbers are often reported based on the Hukou registration system. We use the information in the residuals to scaling relations for economic quantities to predict actual resident population and show that these estimates agree well with data for a subset of cities for which counts of total resident population exist. We conclude with a list of issues that must be better understood and measured to make sense of present urban development trajectories in China.

Township is so far the smallest unit for official demographic statistics in China. When correlated with administrative boundary, demographic data can be used to analyze the spatial distribution of population, which is significant for research on geography, resources, environment, ecology, disasters, sustainable development, etc. Based on the demographic data of the 31 provinces, municipalities and autonomous regions publicized by the National Bureau of Statistics in 2010, we correlated township administrative units with the number of population in each, while attending to spatial topological problems such as pattern spot gaps and overlaps between the spatial divisions. In total, 42122 spatial units were paired with their demographic data by using the decision tree. The average population density was calculated as the number of population per spatial unit, which was then converted into vector data for generating the dataset of township-level population density in China (2010). A validation of the data shows an overall accuracy of 99%, with a less than 10% deviation for each province or municipality. The dataset is in the TIFF format, with a total volume of 108 MB.

This data collection includes 'life story' interviews with Russian-speaking women from Russia, Ukraine, and Belarus who have married Chinese citizens and moved for their married lives to the People's Republic of China. Most of the recorded interviews were transcribed verbatim in Russian. Some of the non-recorded conversations are summarised in English. The topics covered in the interviews include the women's journeys to China, their experiences of family, social, and working lives, the challenges of legal, socio-cultural and emotional adaptation, and the questions of citizenship and immigration status for women and their children.The growth of mega-cities and more generally rapid urbanization in China not only include hundreds of millions internal migrants, but an increasing number of foreign (including Taiwanese and returning ethnic Chinese) migrants as well. At present, foreign migrants fill relatively small and specific skills and knowledge gaps, but also include marriage migrants, traders, investors, retirees and unskilled workers. However as China's population growth levels off, population ageing sets in. China's working age population is set to decline, slowly at first but increasingly rapidly, especially roughly after 2025. Moreover, the population's sex imbalance will become ever more pronounced and China will face an increasing shortage of marriageable and working age people. Although international migration is set to make an important contribution to these increasing demographic and labour market shortages in China, little research has as yet been done. Our project will provide estimates and projections of the role of international and internal migration on population dynamics in China. The central focus of our project is on the impact of the second demographic transition in China, including family changes, ageing, migration and regional population changes. We will collect vital data on the interaction between labour markets and population dynamics, the consequences of migration, integration policies in China, EU-China mobility, and shifting patterns of inequality and the cultural division of labour. The project therefore speaks directly to the issues under the theme Understanding Population Change of the Europe - China call for collaborative research. This research data collection includes the transcripts of life story interviews with Russian-speaking women from the Soviet Union who have married a Chinese national and moved for a family life to the People's Republic of China. The research participants for this project were recruited through a snowballing method. A written call for participation and project information were distributed through established contacts and social media, inviting interested parties to contact the researcher. A consent form with the project information was shared with prospective participants prior to the interview. The interviews took place face-to-face or through a video or audio function in Skype or in Wechat, China's most popular social media platform.

Abstract (en): The China Multi-Generational Panel Dataset - Liaoning (CMGPD-LN) is drawn from the population registers compiled by the Imperial Household Agency (neiwufu) in Shengjing, currently the northeast Chinese province of Liaoning, between 1749 and 1909. It provides 1.5 million triennial observations of more than 260,000 residents from 698 communities. The population mainly consists of immigrants from North China who settled in rural Liaoning during the early eighteenth century, and their descendants. The data provide socioeconomic, demographic, and other characteristics for individuals, households, and communities, and record demographic outcomes such as marriage, fertility, and mortality. The data also record specific disabilities for a subset of adult males. Additionally, the collection includes monthly and annual grain price data, custom records for the city of Yingkou, as well as information regarding natural disasters, such as floods, droughts, and earthquakes. This dataset is unique among publicly available population databases because of its time span, volume, detail, and completeness of recording, and because it provides longitudinal data not just on individuals, but on their households, descent groups, and communities. Possible applications of the dataset include the study of relationships between demographic behavior, family organization, and socioeconomic status across the life course and across generations, the influence of region and community on demographic outcomes, and development and assessment of quantitative methods for the analysis of complex longitudinal datasets. ICPSR data undergo a confidentiality review and are altered when necessary to limit the risk of disclosure. ICPSR also routinely creates ready-to-go data files along with setups in the major statistical software formats as well as standard codebooks to accompany the data. In addition to these procedures, ICPSR performed the following processing steps for this data collection: Created variable labels and/or value labels.; Standardized missing values.; Created online analysis version with question text.; Checked for undocumented or out-of-range codes.. Smallest Geographic Unit: Chinese banners (8) The data are from 725 surviving triennial registers from 29 distinct populations. Each of the 29 register series corresponded to a specific rural population concentrated in a small number of neighboring villages. These populations were affiliated with the Eight Banner civil and military administration that the Qing state used to govern northeast China as well as some other parts of the country. 16 of the 29 populations are regular bannermen. In these populations adult males had generous allocations of land from the state, and in return paid an annual fixed tax to the Imperial Household Agency, and provided to the Imperial Household Agency such home products as homespun fabric and preserved meat, and/or such forest products as mushrooms. In addition, as regular bannermen they were liable for military service as artisans and soldiers which, while in theory an obligation, was actually an important source of personal revenue and therefore a political privilege. 8 of the 29 populations are special duty banner populations. As in the regular banner population, the adult males in the special duty banner populations also enjoyed state allocated land free of rent. These adult males were also assigned to provide special services, including collecting honey, raising bees, fishing, picking cotton, and tanning and dyeing. The remaining populations were a diverse mixture of estate banner and servile populations. The populations covered by the registers, like much of the population of rural Liaoning in the eighteenth and nineteenth centuries, were mostly descendants of Han Chinese settlers who came from Shandong and other nearby provinces in the late seventeenth and early eighteenth centuries in response to an effort by the Chinese state to repopulate the region. 2016-09-06 2016-09-06 The Training Guide has been updated to version 3.60. Additionally, the Principal Investigator affiliation has been corrected, and cover sheets for all PDF documents have been revised.2014-07-10 Releasing new study level documentation that contains the tables found in the appendix of the Analytic dataset codebook.2014-06-10 The data and documentation have been updated following re-evaluation.2014-01-29 Fixing variable format issues. Some variables that were supposed to be s...

As the global population ages, China faces unique challenges due to its rapid economic development and societal changes. The older adult population in China, especially females, is growing rapidly, with women outnumbering men in older age groups. Gender disparities in aging manifest in physiological, psychological, and social aspects, including higher risks of cardiovascular diseases in older adultmen and osteoporosis in older adult women. China’s rapidly aging population faces profound gender disparities in health outcomes, shaped by biological, social, and cultural determinants. Synthesizing data from the Global Burden of Disease study and national surveys, this perspective highlights elevated cardiovascular risks among older adult men, osteoporosis prevalence in women, and systemic inequities in healthcare access. We propose gender-sensitive strategies spanning research, policy, and societal awareness to advance equitable healthy aging.

The China assisted living market is experiencing robust growth, driven by an aging population, increasing disposable incomes, and a rising awareness of senior care needs. With a CAGR exceeding 12% since 2019 and a projected market size of (estimated) $XX million in 2025, this sector presents significant investment opportunities. Key drivers include government initiatives promoting senior care infrastructure development, urbanization leading to increased demand for professional care services, and a growing preference for non-family-based living arrangements among older adults. The market is segmented geographically, with Shanghai, Beijing, Chongqing, Wuhan, and Chengdu representing significant hubs of activity. Leading players like China Vanke, Sino-Ocean Group, and Taikang Life are actively shaping the market landscape through strategic investments and service innovations. However, challenges remain, including the high cost of high-quality assisted living, limited availability of skilled professionals, and regional disparities in service provision. Future growth will depend on overcoming these restraints through strategic partnerships, technological advancements (such as telehealth integration), and continuous improvement in service standards to meet the evolving needs of an increasingly aging populace. The forecast period (2025-2033) anticipates continued market expansion, fueled by sustained demographic shifts and government policies that aim to improve the overall quality of senior care. While challenges related to staffing and affordability will persist, innovative service models and technological advancements are expected to mitigate some of these pressures. The expansion into secondary and tertiary cities presents a significant avenue for growth, as demand for assisted living solutions expands beyond the major metropolitan areas. Successful players will be those who can adapt quickly to changing regulatory landscapes, deliver cost-effective and high-quality services, and effectively address the diverse needs of their residents. Recent developments include: In September 2021, the Grand Opening of Lendlease's landmark senior living project in Qingpu, Shanghai, was announced. Ardo Gardens provides a welcoming and well-being-focused environment for seniors to live vibrant and active lives, supported by luxury facilities and the best services., In May 2021, New China Life Insurance Co. Ltd opened a new elderly care community in Beijing's Yanqing district, totaling 280,000 sq. m and 2,000 apartments. The community will provide about 200 long-term apartments tailored for the elderly and 100 short-term guest rooms in the project's first phase, along with entertainment, catering, sports, medical care, social exchange, and wealth management services.. Notable trends are: Increase in Senior Population and Life Expectancy.

According to the Seventh National Chinese Population Census, the age dependency ratio in China increased to 46.5 percent in 2023. This meant that for every 100 people of working age, more than 46 seniors and children had to be supported. Age dependency ratio The age dependency ratio denotes the relationship between economically dependent age groups (people who are either too old or too young to work) to those of working age. Those who are defined as being able to work, according to the source, are people between the ages of 15 and 64. The dependency ratio indicates how great a burden is placed on those of working age by those of non-working age. In international comparison, China has a relatively low age dependency ratio, when compared to age dependency in G20 countries or other countries in the Asia Pacific region. Development in China In the past two decades, China’s economy has profited from a relatively low dependency ratio. In combination with a growing working age population, these were the two main demographic causes for China’s large and cheap labor force. However, the dependency ratio has been falling since the 1970s, mainly because of lower birth rates and a resulting decrease of child dependency. This led the age dependency ratio to reach a historic low between 2005 and 2017, when it fell to levels below 40 percent. A turning point had been reached around the year 2010, when the effects of declining child dependency were neutralized by growing old-age dependency. This rapid aging of the population is the other side of the coin of decades of low birth rates, which will pose great challenges to Chinese society in the future.

The challenge of population ageing in China is an emergent area of concern with significant implications as China enters into a period referred to as 'super ageing' (Joseph and Phillips 1999). By 2008 the number of people in China who were 60 or over had reached 159 million, comprising 12 per cent of the total population. Accelerated by economic reforms, a large scale migration of younger workers from rural to urban areas has taken place since the 1990s, which has geographically separated many adult children from their ageing parents and has posed significant challenges to traditional patterns of familial support to rural older people. By focusing upon micro-level processes, the project will employ qualitative techniques to examine the impact of these socio-economic transitions on the experiences of older people in rural areas where two thirds of China's ageing population reside. Through life history interviews and in-depth studies of two rural villages, the project examines the extent to which rural-urban migration has reshaped expectations and experiences of familial support in old age and whether and how intergenerational/gender relations have been transformed by migration. 60 interviews were conducted with individual members from 17 families in 2 rural villages in China.

Population density population distribution is the main form and the main indicators to measure regional differences in population distribution. Town (Street) at the grass-roots administrative system in China, is China's smallest administrative unit of the public release of census data, population density in the township-level data can be objective and precise characterization of the spatial pattern of population distribution and trends in China, and for research on resources, environment and population issues is of great significance. Paper standardized processing has China Liaoning, and Jilin, and in Inner Mongolia (part area), and Beijing, and Tianjin, and Shanghai, and Hebei, and Henan, and Shaanxi, and Ningxia, and Shanxi, and Shandong, and Anhui, and Jiangsu, and Hunan, and Hubei, and Jiangxi, and Zhejiang, and Fujian, and Guangdong, and Hainan, and Yunnan, and Guizhou, and Qinghai, and Tibet, 25 a province (municipalities, and autonomous regions) Township (Street) level administrative line data and the fifth times census Township (Street) level population statistics data, guarantee Township border county (district) Territories consistent, and Spatial and census information for each township unit corresponds to one by one. On this basis, accurately matching the spatial extent of each township and census information, calculated the average population density of communes, form the data set.

In 2024, there were around 719 million male inhabitants and 689 million female inhabitants living in China, amounting to around 1.41 billion people in total. China's total population decreased for the first time in decades in 2022, and population decline is expected to accelerate in the upcoming years. Birth control in China From the beginning of the 1970s on, having many children was no longer encouraged in mainland China. The one-child policy was then introduced in 1979 to control the total size of the Chinese population. According to the one-child policy, a married couple was only allowed to have one child. With the time, modifications were added to the policy, for example parents living in rural areas were allowed to have a second child if the first was a daughter, and most ethnic minorities were excepted from the policy. Population ageing The birth control led to a decreasing birth rate in China and a more skewed gender ratio of new births due to boy preference. Since the negative economic and social effects of an aging population were more and more felt in China, the one-child policy was considered an obstacle for the country’s further economic development. Since 2014, the one-child policy has been gradually relaxed and fully eliminated at the end of 2015. However, many young Chinese people are not willing to have more children due to high costs of raising a child, especially in urban areas.

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APAC Healthcare Analytics Market Size 2024-2028

The APAC healthcare analytics market size is forecast to increase by USD 20.84 billion, at a CAGR of 27.94% between 2023 and 2028.

The market is experiencing significant growth due to several key trends and drivers. The integration of big data with healthcare analytics is a major catalyst for market expansion, enabling more accurate and efficient diagnosis and treatment plans. Additionally, the increasing use of digital health technologies, such as telemedicine and remote patient monitoring, is driving demand for advanced analytics solutions. However, data security and privacy concerns remain a challenge, as sensitive healthcare information is increasingly being stored and transmitted digitally.
IT services providers are addressing these concerns through cloud analytics and software solutions. The rise of 5G technology is also expected to boost market growth, enabling real-time data processing and analysis for public safety and predictive analytics applications. Insurers and healthcare services providers are also leveraging data analytics to improve operations, reduce costs, and enhance customer experience. Overall, the market is poised for strong growth, driven by these trends and the increasing adoption of digital technologies in healthcare.

What will be the size of the APAC Healthcare Analytics Market during the forecast period?

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The market is experiencing significant growth In the adoption of healthcare analytics. This trend is driven by the increasing focus on patient care, treatment costs, and patient retention. Big data analytics and digital solutions are transforming the industry, enabling healthcare providers to extract valuable insights from clinical data. The aging population in APAC is a major factor fueling this growth, as analytics tools help improve performance, efficiency, and accuracy in service delivery. Future trends include the use of predictive analytics for clinical outcomes, cost savings, and hospital readmission reduction. Security issues and cultural barriers are challenges that must be addressed as the market expands.
Healthcare costs remain a critical concern, with analytics playing a key role in addressing this challenge. Qpharma and BC platforms are leading the way in analytics adoption, with life sciences companies and healthcare providers also investing heavily in this area. The market is segmented into on-premises and cloud-based solutions, with both offering unique advantages depending on the specific needs of organizations. Overall, the market is poised for continued growth, offering significant opportunities for innovation and improvement in service delivery and clinical outcomes.

How is this market segmented and which is the largest segment?

The market research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD billion' for the period 2024-2028, as well as historical data from 2018-2022 for the following segments.

Component

  Services
  Software
  Hardware


Deployment

  On-premises
  Cloud-based


Geography

  APAC

    China
    India
    Japan
    South Korea

By Component Insights

The services segment is estimated to witness significant growth during the forecast period.

In the APAC region, the healthcare analytics market is primarily driven by the services segment, which accounted for the largest market share in 2023. This segment encompasses consulting, implementation, training, and support services offered by healthcare analytics companies. With the growing emphasis on patient-centric care and the need to adhere to stringent regulatory requirements such as FDA regulations and HIPAA legislation, healthcare providers are increasingly relying on IT services and solutions. The healthcare sector is heavily regulated due to the importance of public safety standards. Big data analytics, digital solutions, and analytics tools are transforming patient care, treatment costs, patient retention, and clinical outcomes In the APAC region.

Key trends include the use of cloud analytics for healthcare fraud analytics, infectious diseases, and medical insurance fraud. Future trends include the integration of 5G technology, telemedicine platforms, electronic health records, and personal health records. Performance, efficiency, accuracy, service delivery, clinical outcomes, and healthcare costs are critical factors influencing market growth. Security issues, cultural barriers, confidentiality, a skilled workforce, analytics network, international political relations, economic relations, federal regulations, and quality care are also significant considerations.

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The services segment was valued at USD 1.31 billion in 2018 and showed a gradual increase during the forecast period.

Market Dynamics

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China is an emerging country, and government intervention is always considered as an important part of the solutions when people facing challenges in China. Under the impact of the coronavirus disease 2019 (COVID-19) epidemic and the global economic downturn, the Chinese government quickly brought the epidemic under control and restored the positive economic growth through strong intervention. Based on the panel data of provincial level in China and the government intervention as the threshold variable, this paper empirically analyzed the non-linear effect of business cycle on population health by using the panel threshold regression model. The empirical results show that the impact of the business cycle on population health is significantly negative, and government intervention has a single threshold effect on the relationship between business cycle and population health. When the government intervention is below the threshold value, the business cycle has a significant negative effect on the improvement of the population health level; when the level of government intervention exceeds the threshold value, the relationship between business cycle and population health becomes significantly positive. To some extent, the conclusions of this paper can guide the formulation and revision of government health policy and help to adjust the direction and intensity of government intervention. The Chinese government and other governments of emerging countries should do more to harness the power of state intervention in their response to the business cycle.

Urban Parents’ Parenting Challenges Survey Data Dataset Name: Urban Parents’ Parenting Challenges Survey Data Abstract: This dataset contains survey data on the challenges faced by urban parents in China in raising children aged 2-6 years. The data aims to understand the primary challenges faced by parents, the demographic factors affecting these challenges, and the strategies parents typically use to seek support. Data Collection Method: The data was collected via an online survey conducted from July 2023 to December 2023. Data Structure: File Format: CSV Rows: Each row represents the response of a single participant. Columns: Includes variables such as respondent ID, grade, gender, birth order, parental ages, socioeconomic status (SES), and 16 parenting challenge scores. Variable Descriptions: id: Unique identifier for each respondent. Birth Order: 1 for first-born, 2 for not first-born. Child’s Gender: Gender of the child. Kindergarten Grade: 3 for lower grade, 4 for middle grade, 5 for upper grade. Grandparent Involvement: Indicates whether grandparents are involved in childcare, 1 for involved, 0 for not involved. Maternal Age, Paternal Age: 1 for