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.

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.

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.

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.

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

Population: District under City: Household Registration: Guangdong: Guangzhou 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: District under City: Household Registration: Guangdong: Guangzhou data is updated yearly, averaging 8,840.000 Person th from Dec 2010 (Median) to 2023, with 14 observations. The data reached an all-time high of 10,566.070 Person th in 2023 and a record low of 6,642.900 Person th in 2010. Population: District under City: Household Registration: 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: District under City.

Population: Inflow: Guangdong: Guangzhou data was reported at 220.500 Person th in 2023. This records an increase from the previous number of 217.698 Person th for 2022. Population: Inflow: Guangdong: Guangzhou data is updated yearly, averaging 158.977 Person th from Dec 2000 (Median) to 2023, with 24 observations. The data reached an all-time high of 266.665 Person th in 2020 and a record low of 106.739 Person th in 2014. Population: Inflow: 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-natural Change.

As of January 2024, 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 ** million inhabitants in the Asia-Pacific region as of January 2024.

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.

As of 2023, around **** percent of the total population of Guangdong province in China were 65 years old or older. Guangdong is the most populous province in China, and its population density is higher than in many countries in the world.

The Gross Domestic Product is used as the estimator, see text. The corresponding values are plotted in Fig 6a. It is clear that the true population size of large coastal cities is not well described by the Hukou system count, but better captured by the estimates resulting from the residuals of the scaling relations for GDP.

Number of Household: Guangdong: Guangzhou data was reported at 3,421.606 Unit th in 2023. This records an increase from the previous number of 3,361.935 Unit th for 2022. Number of Household: Guangdong: Guangzhou data is updated yearly, averaging 2,620.889 Unit th from Dec 2000 (Median) to 2023, with 24 observations. The data reached an all-time high of 3,421.606 Unit th in 2023 and a record low of 2,100.434 Unit th in 2000. Number of Household: 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: No of Household.

Population: Household Registration: Rural: Guangdong: Guangzhou data was reported at 1,917.162 Person th in 2023. This records a decrease from the previous number of 1,949.437 Person th for 2022. Population: Household Registration: Rural: Guangdong: Guangzhou data is updated yearly, averaging 1,916.742 Person th from Dec 2015 (Median) to 2023, with 9 observations. The data reached an all-time high of 1,949.437 Person th in 2022 and a record low of 1,731.646 Person th in 2015. Population: Household Registration: Rural: 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: By Residence.

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.

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.

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.

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.

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.

In 2022, Guangzhou ranked as the most attractive city in China with a Population Attractive Index of *****, followed by Shenzhen and Beijing. The Population Attractive Index reflected the population influx to a city in the given period.