By 2035, nearly ** million people are predicted to call Guangzhou home. As one of the key cities in the Guangdong-Hong Kong-Macao Greater Bay Area, Guangzhou’s vibrancy is very attractive to people searching for their opportunities there.

Megacity – Guangzhou

As China’s cities become increasingly urbanized, the demographic of this megacity has also changed considerably over the years, with more and more Chinese locals and foreigners opting to dwell in Guangzhou for work and cultural opportunities. Together with Beijing, Shanghai and Shenzhen, Guangzhou is listed as one of China’s first-tier cities, indicating its great economic power and developing potential. Guangzhou has been a large port of China for over *** thousand years and has contributed significantly to the economic and cultural exchange between China and the world. Today, the Guangzhou Port is one of the largest in the world.

Multicultural hub

The traces of immigrants from different times to this city can be easily found in Guangzhou’s architecture. In the former colonial area, there are still plenty of old western style buildings. Today’s Guangzhou is one of the Chinese cities with the highest density of skyscrapers in some business areas. The Canton Tower, landmark of Guangzhou, is *** meters tall and the second tallest tower in the world after Tokyo Skytree. In this capital city of the Guangdong province, Cantonese culture is highly respected and well developed. Guangzhou is also one of the Chinese cities with the largest foreign population. Cantonese, Mandarin and English are the widely used languages of the residents in Guangzhou.

Population: Census: Guangdong: Guangzhou data was reported at 18,676.605 Person th in 12-01-2020. This records an increase from the previous number of 12,701.900 Person th for 12-01-2010. Population: Census: Guangdong: Guangzhou data is updated decadal, averaging 12,701.900 Person th from Dec 2000 (Median) to 12-01-2020, with 3 observations. The data reached an all-time high of 18,676.605 Person th in 12-01-2020 and a record low of 9,942.022 Person th in 12-01-2000. Population: Census: Guangdong: Guangzhou data remains active status in CEIC and is reported by Guangzhou Municipal Bureau of Statistics. The data is categorized under China Premium Database’s Socio-Demographic – Table CN.GE: Population: Prefecture Level City: By Census.

Population: Household Registration: Birth Rate: Guangdong: Guangzhou data was reported at 11.070 ‰ in 2023. This records an increase from the previous number of 10.720 ‰ for 2022. Population: Household Registration: Birth Rate: Guangdong: Guangzhou data is updated yearly, averaging 10.905 ‰ from Dec 2000 (Median) to 2023, with 24 observations. The data reached an all-time high of 22.730 ‰ in 2017 and a record low of 7.920 ‰ in 2003. Population: Household Registration: Birth Rate: Guangdong: Guangzhou data remains active status in CEIC and is reported by Guangzhou Municipal Bureau of Statistics. The data is categorized under China Premium Database’s Socio-Demographic – Table CN.GE: Population: Prefecture Level City: Household Registration: Natural Growth Rate.

This statistic illustrates the population of the Guangdong - Hong Kong - Macao Greater Bay Area cities in 2024. That year, the population of Guangzhou amounted to approximately ***** million people, making it the largest city by population in the region.

Historical dataset of population level and growth rate for the Guangzhou, Guangdong, China metro area from 1950 to 2025.

Population: Guangdong: Guangzhou: Household Registration data was reported at 10,566.070 Person th in 2023. This records an increase from the previous number of 10,349.074 Person th for 2022. Population: Guangdong: Guangzhou: Household Registration data is updated yearly, averaging 7,066.438 Person th from Dec 1978 (Median) to 2023, with 46 observations. The data reached an all-time high of 10,566.070 Person th in 2023 and a record low of 4,828.961 Person th in 1978. Population: Guangdong: Guangzhou: Household Registration data remains active status in CEIC and is reported by Guangzhou Municipal Bureau of Statistics. The data is categorized under China Premium Database’s Socio-Demographic – Table CN.GE: Population: Prefecture Level City.

In 2024, the population of Guangdong province in China amounted to around ***** million inhabitants, ranking first among all the provinces in China. The population density in Guangdong is also higher than in many countries in the world.

Population: Guangdong: Guangzhou: Zengcheng data was reported at 860.000 Person th in 2014. This records an increase from the previous number of 850.000 Person th for 2013. Population: Guangdong: Guangzhou: Zengcheng data is updated yearly, averaging 850.000 Person th from Dec 2004 (Median) to 2014, with 11 observations. The data reached an all-time high of 900.000 Person th in 2009 and a record low of 790.000 Person th in 2005. Population: Guangdong: Guangzhou: Zengcheng data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s Socio-Demographic – Table CN.GJ: Population: County Level Region.

Population: Guangdong: Guangzhou: Usual Residence data was reported at 18,827.000 Person th in 2023. This records an increase from the previous number of 18,734.100 Person th for 2022. Population: Guangdong: Guangzhou: Usual Residence data is updated yearly, averaging 12,795.150 Person th from Dec 2000 (Median) to 2023, with 24 observations. The data reached an all-time high of 18,827.000 Person th in 2023 and a record low of 9,496.800 Person th in 2005. Population: Guangdong: Guangzhou: Usual Residence data remains active status in CEIC and is reported by Guangzhou Municipal Bureau of Statistics. The data is categorized under China Premium Database’s Socio-Demographic – Table CN.GBA: Population: GBA.

1 Continuous variables were shown as the means±standard deviation. Categorical variables were shown as numbers (percents). Variables were evaluated in conditional logistic model.2 Variables were scored as yes or no, and numbers (percents) of yes responses were listed. House decoration refers to replacement of floor board, wall, and indoor painting for almost a whole flat or house; new furniture refers to a set of new furniture for living room(s) and bed room(s). 3 Occupation was categorized into 3 levels on the basis of the intensity of occupational physical activity.4 Smoking status was defined as current smoker, ex-smoker or nonsmoker (a smoker was defined as someone smoking at least one cigarette per day for at least six months).5 Passive smoking was designated as exposure to other peoples' tobacco smoke for at least 5 minutes daily in the previous five years.6 Physical activity was defined as occupational, leisure time and household chores activity, and evaluated by metabolic equivalent hours per day (MET∙ h/d).Abbreviations: BMI: body mass index; NPC: Nasopharyngeal carcinoma; MET: metabolic equivalent1 .

Population: Household Registration: Urbanization Rate: Guangdong: Guangzhou data was reported at 81.860 % in 2023. This records an increase from the previous number of 81.160 % for 2022. Population: Household Registration: Urbanization Rate: Guangdong: Guangzhou data is updated yearly, averaging 79.900 % from Dec 2015 (Median) to 2023, with 9 observations. The data reached an all-time high of 81.860 % in 2023 and a record low of 79.690 % in 2017. Population: Household Registration: Urbanization Rate: Guangdong: Guangzhou data remains active status in CEIC and is reported by Guangzhou Municipal Bureau of Statistics. The data is categorized under China Premium Database’s Socio-Demographic – Table CN.GE: Population: Prefecture Level City: Urbanization Rate.

As of 2025, Guangzhou had the largest metropolitan population in the Asia-Pacific region, with approximately **** million inhabitants. Tokyo had the second-largest metropolitan population of around **** million inhabitants. There were a total of ** megacities with a population of over 10 million inhabitants in the Asia-Pacific region as of 2025.

Population: Usual Residence: Urbanization Rate: Guangdong: Guangzhou data was reported at 86.760 % in 2023. This records an increase from the previous number of 86.480 % for 2022. Population: Usual Residence: Urbanization Rate: Guangdong: Guangzhou data is updated yearly, averaging 84.380 % from Dec 2010 (Median) to 2023, with 14 observations. The data reached an all-time high of 86.760 % in 2023 and a record low of 83.790 % in 2010. Population: Usual Residence: Urbanization Rate: Guangdong: Guangzhou data remains active status in CEIC and is reported by Guangzhou Municipal Bureau of Statistics. The data is categorized under China Premium Database’s Socio-Demographic – Table CN.GE: Population: Prefecture Level City: Urbanization Rate.

BackgroundThis study investigated the satisfaction of migrant populations in Guangzhou with primary care and explored how community integration and economic development at the district level influenced this satisfaction. This study aimed to provide empirical evidence and recommendations for improving primary care utilization and community integration among migrant populations.MethodsWe conducted a stratified random sampling of 1,996 migrant individuals from seven districts in Guangzhou. A custom-designed questionnaire was used to collect data on demographic characteristics, satisfaction with primary care, and community integration, including willingness to seek help, neighborhood interactions, and participation in community activities. Multi-variate linear regression analysis was used to identify factors associated with satisfaction with primary care.ResultsThe mean satisfaction score for primary care was 3.29 ± 0.76. Participation in community activities was positively associated with satisfaction, with participants often reporting higher scores (increases of 0.08 and 0.28 points, respectively; p < 0.05). Greater neighborhood interaction and willingness to seek assistance from local authorities also increased satisfaction (0.11 and 0.37 points, respectively; p < 0.05). Residing in districts with moderate or good economic conditions further enhanced satisfaction (0.37 and 0.10 points, respectively; p < 0.05).ConclusionAlthough migrant populations in Guangzhou generally report high satisfaction with primary care, their level of community integration remains limited. Enhancing community public services and fostering a stronger sense of community belonging are promising strategies for improving primary care management and services for migrant populations.

Achieving high coverage of HIV testing services is critical in many health systems, especially where HIV testing services remain centralized and inconvenient for many. As a result, planning the optimal spatial distribution of HIV testing sites is increasingly important. We aimed to assess the relationship between geographic distance and uptake of HIV testing services among the general population in Guangzhou, China. Utilizing spatial epidemiological methods and stratified household random sampling, we studied 666 adults aged 18–59. Computer-assisted interviews assessed self-reported HIV testing history. Spatial scan statistic assessed the clustering of participants who have ever been tested for HIV, and two-level logistic regression models assessed the association between uptake of HIV testing and the mean driving distance from the participant’s residence to all HIV testing sites in the research sites. The percentage of participants who have ever been tested for HIV was 25.2% (168/666, 95%CI: 21.9%, 28.5%), and the majority (82.7%) of participants tested for HIV in Centres for Disease Control and Prevention, public hospitals or STIs clinics. None reported using self-testing. Spatial clustering analyses found a hotspot included 48 participants who have ever been tested for HIV and 25.8 expected cases (Rate Ratio = 1.86, P = 0.002). Adjusted two-level logistic regression found an inverse relationship between geographic distance (kilometers) and ever being tested for HIV (aOR = 0.90, 95%CI: 0.84, 0.96). Married or cohabiting participants (aOR = 2.14, 95%CI: 1.09, 4.20) and those with greater social support (aOR = 1.04, 95%CI: 1.01, 1.07) were more likely to be tested for HIV. Our findings underscore the importance of considering the geographical distribution of HIV testing sites to increase testing. In addition, expanding HIV testing coverage by introducing non-facility based HIV testing services and self-testing might be useful to achieve the goal that 90% of people living with HIV knowing their HIV status by the year 2020.

Population: Non Agricultural: Guangdong: Guangzhou data was reported at 7,662.869 Person th in 2014. This records an increase from the previous number of 7,530.842 Person th for 2013. Population: Non Agricultural: Guangdong: Guangzhou data is updated yearly, averaging 6,681.980 Person th from Dec 1996 (Median) to 2014, with 19 observations. The data reached an all-time high of 7,662.869 Person th in 2014 and a record low of 4,032.700 Person th in 1996. Population: Non Agricultural: Guangdong: Guangzhou data remains active status in CEIC and is reported by Guangzhou Municipal Bureau of Statistics. The data is categorized under China Premium Database’s Socio-Demographic – Table CN.GE: Population: Prefecture Level City: Non Agricultural. The agricultural population and nonagricultural population were cataloged by residence registration before 2003. From 2003 to 2014 the statistical coverage of nonagricultural population has been adjusted in accordance with The Notice about Some Items on Changing the Annual Reporting Tables of Population Statistics Transmitted from the Ministry of Public Security stipulated by Guangdong Provincial Bureau of Public Security. The permanent population living in the region of sub-district offices under the jurisdiction of districts, neighborhood committees under the jurisdiction of towns and village committees where town governments seat are cataloged to non-agricultural population. 农业与非农业人口统计，2003年以前按户口性质分类。2003-2014年，非农业人口的统计口径根据省公安厅《转发公安部办公厅关于修改人口统计年报表等有关问题的通知》（广公（办）字[2003]146号）调整为：设区市的区和不设区市的市区所辖街道办事处区域内的常住人口和市辖镇、县辖镇所辖居民委员会或镇政府驻地村委会区域内的常住人口按非农业人口统计。

BackgroundA novel avian-origin influenza A(H7N9) caused a major outbreak in Mainland China in early 2013. Exposure to live poultry was believed to be the major route of infection. There are limited data on how the general public changes their practices regarding live poultry exposure in response to the early outbreak of this novel influenza and the frequency of population exposure to live poultry in different areas of China.MethodologyThis study investigated population exposures to live birds from various sources during the outbreak of H7N9 in Guangzhou city, China in 2013 and compared them with those observed during the 2006 influenza A(H5N1) outbreak. Adults were telephone-interviewed using two-stage sampling, stratified by three residential areas of Guangzhou: urban areas and two semi-rural areas in one of which (Zengcheng) A(H7N9) virus was detected in a chicken from wet markets. Logistic regression models were built to describe practices protecting against avian influenza, weighted by age and gender, and then compare these practices across residential areas in 2013 with those from a comparable 2006 survey.Principal FindingsOf 1196 respondents, 45% visited wet markets at least daily and 22.0% reported buying live birds from wet markets at least weekly in April-May, 2013, after the H7N9 epidemic was officially declared in late March 2013. Of those buying live birds, 32.3% reported touching birds when buying and 13.7% would slaughter the poultry at home. Although only 10.1% of the respondents reported raising backyard birds, 92.1% of those who did so had physical contact with the birds they raised. Zengcheng respondents were less likely to report buying live birds from wet markets, but more likely to buy from other sources when compared to urban respondents. Compared with the 2006 survey, the prevalence of buying live birds from wet markets, touching when buying and slaughtering birds at home had substantially declined in the 2013 survey.Conclusion/SignificanceAlthough population exposures to live poultry were substantially fewer in 2013 compared to 2006, wet markets and backyard poultry remained the two major sources of live bird exposures for the public in Guangzhou in 2013. Zengcheng residents seemed to have reduced buying live birds from wet markets but not from other sources in response to the detection of H7N9 virus in wet markets.

IntroductionAs a developing country with the largest older adult population in the world, strengthening the research on falls among the older adults is undoubtedly an urgent item in China. This study aimed to explore the prevalence and risk factors associated with falls and injury from falls among community-dwelling older adults in Guangzhou, China, particularly focusing on their associations with chronic diseases.MethodsA total of 1,629 participants aged 65 years and above were selected from 11 counties in Guangzhou by the multi-stage stratified random sampling method in 2021. Socio-demographic characteristics, health and lifestyle factors, the status of falls, and injury from falls were measured by structured questionnaires through face-to-face interviews. Chi-square tests and logistic regression analysis were used to identify factors associated with falls and injury from falls. Chord diagrams were used to explore their associations with chronic diseases.ResultsA total of 251 participants (15.41%, 95% CI: 13.98%−17.25%) reported falls, and 162 participants (9.46%, 95% CI:7.72%−11.55%) indicated an injury from falls. Logistic regression analysis showed the results as follows: female patients (adjusted OR = 1.721, 95% CI: 1.681–1.761) aged ≥80 years (1.910, 1.847–1.975), unemployed (1.226, 1.171–1.284), uninsured (1.555, 1.448–1.671), average monthly household income of 2,001–4,000 CNY (1.878, 1.827–1.930), number of services provided by the community health center ≥13 times per year (1.428, 1.383–1.475), illness within 2 weeks (1.633, 1.595–1.672), high-intensity physical activity (2.254, 2.191–2.32), sedentary (1.094, 1.070–1.117), and number of chronic disease illnesses ≥3 (1.930, 1.870–1.993). Meanwhile, those risk factors were also associated with injury from falls. The older adults with medium-intensity physical activity were at lower risk (0.721, 0.705–0.737) of falls and higher risk (1.086, 1.057–1.117) of being injured from falls. Chord diagrams showed the correlations between chronic diseases and falls and injury from falls among community-dwelling older adults in Guangzhou, China.ConclusionThe high prevalence of falls is found among community-dwelling older adults in Guangzhou, China, which is related to multiple factors such as demographic variables, lifestyle, and health status, especially for chronic diseases. Therefore, targeted interventions should be developed and implemented urgently.

BackgroundRecent surveillance data suggest that mean birth weight has begun to decline in several developed countries. The aim of this study is to examine the changes in birth weight among singleton live births from 2002 to 2012 in Guangzhou, one of the most rapidly developed cities in China.MethodsWe used data from the Guangzhou Perinatal Health Care and Delivery Surveillance System for 34108 and 54575 singleton live births with 28–41 weeks of gestation, who were born to local mothers, in 2002 and 2012, respectively. The trends in birth weight, small (SGA) and large (LGA) for gestational age and gestational length were explored in the overall population and gestational age subgroups.ResultsThe mean birth weight decreased from 3162 g in 2002 to 3137 g in 2012 (crude mean difference, −25 g; 95% CI, −30 to −19). The adjusted change in mean birth weight appeared to be slight (−6 g from 2002 to 2012) after controlling for maternal age, gestational age, educational level, parity, newborn's gender and delivery mode. The percentages of SGA and LGA in 2012 were 0.6% and 1.5% lower than those in 2002, respectively. The mean gestational age dropped from 39.2 weeks in 2002 to 38.9 weeks in 2012. In the stratified analysis, we observed the changes in birth weight differed among gestational age groups. The mean birth weight decreased among very preterm births (28–31 weeks), while remained relatively stable among other gestational age subcategories.ConclusionsAmong local population in Guangzhou from 2002 to 2012, birth weight appeared to slightly decrease. The percentage of SGA and LGA also simultaneously dropped, indicating that newborns might gain a healthier weight for gestational age.

Multivariable ordinal regression analysis examining the association between socio-demographic variables and sexual orientation among undergraduate students in Guangzhou, China.