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

By 2035, nearly 17 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 two 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 604 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: 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: 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.

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.

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.

In 2024, the population of Guangdong province in China amounted to around 127.8 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: 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.

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.

Population: Non-natural Change: Guangdong: Guangzhou data was reported at 177.700 Person th in 2023. This records a decrease from the previous number of 181.213 Person th for 2022. Population: Non-natural Change: Guangdong: Guangzhou data is updated yearly, averaging 87.912 Person th from Dec 2000 (Median) to 2023, with 24 observations. The data reached an all-time high of 226.086 Person th in 2020 and a record low of 27.485 Person th in 2012. Population: Non-natural Change: 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.

Population: Household Registration: Death Rate: Guangdong: Guangzhou data was reported at 7.350 ‰ in 2023. This records an increase from the previous number of 5.610 ‰ for 2022. Population: Household Registration: Death Rate: Guangdong: Guangzhou data is updated yearly, averaging 5.625 ‰ from Dec 2000 (Median) to 2023, with 24 observations. The data reached an all-time high of 7.350 ‰ in 2023 and a record low of 5.140 ‰ in 2019. Population: Household Registration: Death 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.

Population: Household Registration: Urban: Guangdong: Guangzhou data was reported at 8,648.908 Person th in 2023. This records an increase from the previous number of 8,399.637 Person th for 2022. Population: Household Registration: Urban: Guangdong: Guangzhou data is updated yearly, averaging 7,620.415 Person th from Dec 2015 (Median) to 2023, with 9 observations. The data reached an all-time high of 8,648.908 Person th in 2023 and a record low of 6,810.267 Person th in 2015. Population: Household Registration: Urban: 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.

BackgroundIdentifying individuals at high risk of atherosclerotic cardiovascular disease (ASCVD) and implementing targeted prevention strategies might be the key to reducing the heavy disease burden in China. This study aimed to evaluate the prevalence, awareness, treatment, and risk factor control among individuals with high 10-year ASCVD risk in Guangzhou, China.MethodsThis study included 15,165 adults (aged 18 years and older) from 138 urban and rural communities in the 2018 survey of China Chronic Disease and Risk Factors Surveillance in Guangzhou. 10-year ASCVD risk was estimated using the risk assessment models recommended in the Chinese Guideline for the Prevention of Cardiovascular Disease 2017. The prevalence, awareness, treatment, and risk factor control of high ASCVD risk (defined as 10-year risk ≥10%) were examined.ResultsAmong the study population, the weighted proportion of men was 51.9%, and the mean age was 41.27 ± 0.52 years. The overall standardized prevalence of high 10-year ASCVD risk was 13.8% (95% CI, 12.4%–15.3%). The awareness rates for hypertension, diabetes, and hyperlipidemia were 48.0% (95% CI, 42.8%–53.4%), 48.3% (95% CI, 43.0%–53.7%), and 17.9% (95% CI, 14.4%–22.1%) among those with corresponding risk factors. The proportions of drug use in prevention were relatively low in primary prevention, with the rates of using BP-lowering, glucose-lowering, lipid-lowering, and aspirin being 37.7% (95% CI, 32.8%–42.8%), 41.4% (95% CI, 35.8%–47.3%), 6.7% (95% CI, 4.5%–10.0%), and 1.0% (95% CI, 0.6%–1.8%), respectively. As for risk factor control, only 29.3% (95% CI, 25.7%–33.2%), 16.8% (95% CI, 15.0%–18.6%), and 36.0% (95% CI, 31.1%–41.2%) of individuals with high ASCVD risk had ideal levels of blood pressure, LDL-C, and body weight.ConclusionThe estimated prevalence of 10-year high ASCVD risk was high in Guangzhou, while the rates of treatment and risk factor control in primary prevention were still far from optimal, especially for lipid management. These findings suggested that substantial improvement in ASCVD prevention is needed in this population.

Excel S1 A Scoring System for Nonspecific LBP among the general Population in Guangzhou. (XLSX 25 kb)

As of 2023, about 19.6 percent of the population of Shanghai municipality in China were 65 years and older. This share is expected to grow rapidly in the coming decades. Shanghai is one of the four first tier cities in China, the other three being Beijing, Shenzhen, and Guangzhou.

As of January 2024, Guangzhou had the largest metropolitan population in the Asia-Pacific region, with approximately 70.1 million inhabitants. Tokyo had the second-largest metropolitan population of around 41 million inhabitants. There were a total of 28 megacities with a population of over 10 million inhabitants in the Asia-Pacific region as of January 2024.

Population: Household Registration: Female: Guangdong: Guangzhou data was reported at 5,233.571 Person th in 2022. This records an increase from the previous number of 5,102.784 Person th for 2021. Population: Household Registration: Female: Guangdong: Guangzhou data is updated yearly, averaging 4,020.013 Person th from Dec 2000 (Median) to 2022, with 23 observations. The data reached an all-time high of 5,233.571 Person th in 2022 and a record low of 3,401.415 Person th in 2000. Population: Household Registration: Female: 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 Sex.

Revenue for the Musical Instrument Manufacturing industry is expected to decline at an annualized 13.2% over the five years to 2024, to $4.4 billion. This trend includes a 21.9% decrease in the current year. The industry was previously highly export-oriented, with exports reaching a high of 69.0% of industry revenue in 2005. This share has substantially declined over the subsequent decade. Exports are forecast to increase at an annualized 6.3% over the five years through 2029. Domestic demand for musical instruments is steadily increasing as people pay more attention to leisure and entertainment. In addition, children's education in art and culture has become increasingly important for young parents. Profit margins have recovered to 4.8% of industry revenue in 2024. An estimated 282 enterprises operate in the industry, with approximately 87,504 employees. The top four musical instrument manufacturers account for 7.5% of industry revenue. However, market share concentration is expected to increase over the next five years, due to increased merger and acquisition activity. Domestic musical instrument manufacturers are concentrated in the low- and mid-end markets, while foreign enterprises such as Yamaha mainly operate in high-end markets due to their advanced technology and brand awareness. However, many domestic manufacturers like Guangzhou Pearl River Piano Group are increasingly investing in research and development, and have started implementing branding strategies to compete with larger foreign players. Industry competition is set to intensify over the next five years. Domestic enterprises will continue to build their brands, and more leading foreign enterprises will enter the industry to benefit from the large potential market in China. China's population participating in art training accounts for about 2.5% of the total population, which is far lower than the 20% penetration rate of developed countries. With the improvement of living standards and the deepening of quality education, more people learn to buy musical instruments, and the market scale of this industry is expected to continue to expand. Industry revenue is forecast to grow at an annualized 6.1% over the five years to 2029, to reach $5.9 billion.

BackgroundThe association of prediabetes and diabetes on health-related quality of life (HRQoL) remains inconclusive in current epidemiological research. In this investigation, we administered 5-level EuroQoL-5 dimension version (EQ-5D-5L) to systematically assess HRQoL across glycemic strata (diabetes, prediabetes, and normal glycemic levels) in Guangzhou, and to offer baseline data that can be easily compared to other regions in China or across countries.MethodThis investigation utilized baseline cross-sectional data extracted from a three-year prospective cohort study conducted at the Health Management Center of Guangzhou 11th People’s Hospital. Propensity score matching was implemented at a 1:1:4 ratio to balance participants across diabetes, prediabetes, and normal glycemic group. HRQoL outcomes, operationalized through EQ-Index and EQ visual analog scale (EQ-VAS) measurements, were compared across groups using one-way ANOVA or Wilcoxon rank-sum tests. Multivariate linear regression was constructed to adjust for potential confounders, followed by subgroup analyses stratified by sex, age categories, body mass index (BMI) classifications, and hypertension comorbidity status.ResultsA total of 18,605 participants were included in the study. After propensity score matching, 533 participants allocated to the prediabetes group, 533 to the diabetes group, and 2064 to the normal glycemic group. Intergroup comparisons demonstrated significantly lower EQ-VAS scores in the diabetes group (79.11) compared to both prediabetes (80.67) and normal glycemic group (81.65). Similarly, the diabetes group exhibited the lowest EQ-Index scores (0.968) relative to prediabetes (0.972) and normal glycemic group (0.972). Multivariate linear regression adjusted with sex, age, BMI, etc. revealed a 2.139-point reduction in EQ-VAS scores for the diabetes group versus normal glycemic group (95% CI: -3.748, -0.530; P=0.009). Subgroup analyses identified particularly compromised HRQoL in diabetes and prediabetes populations among female participants, individuals with obesity, and those aged ≥60 years.DiscussionPrediabetes and diabetes mellitus are associated with diminished HRQoL compared to normal glycemic levels, with a more pronounced negative associations observed among female populations, older adults, and individuals with obesity. These findings emphasize the clinical necessity for implementing targeted interventions to optimize HRQoL outcomes in these high-risk subgroups, which aligns with the fundamental objectives of contemporary diabetes management frameworks.Clinical trial registrationClinicalTrials.gov ID: NCT05315895.

Klebsiella aerogenes is a common infectious bacterium that poses a threat to human health. Nevertheless, there are limited data on the population structure, genetic diversity, and pathogenicity of K. aerogenes, especially among men who have sex with men (MSM). The present study aimed to clarify the sequence types (STs), clonal complexes (CCs), resistance genes, and virulence factors of popular strains. Multilocus sequence typing was used to describe the population structure of K. aerogenes. The Virulence Factor Database and Comprehensive Antibiotic Resistance Database were used to assess the virulence and resistance profiles. In this study, next-generation sequencing was performed on nasal swabs specimens collected in an HIV Voluntary Counseling Testing outpatient department in Guangzhou, China, from April to August 2019. The identification results showed that a total of 258 K. aerogenes isolates were collected from 911 participants. We found that the isolates were most resistant to furantoin (89.53%, 231/258) and ampicillin (89.15%, 230/258), followed by imipenem (24.81%, 64/258) and cefotaxime (18.22%, 47/258). The most common STs in carbapenem-resistant K. aerogenes were ST4, ST93, and ST14. The population has at least 14 CCs, including several novel ones identified in this study (CC11-CC16). The main mechanism of drug resistance genes was antibiotic efflux. Based on the presence of the iron carrier production genes irp and ybt, we identified two clusters according to virulence profiles. In cluster A, CC3 and CC4 carry the clb operator encoding the toxin. Increased monitoring is needed for the three main ST type strains carried by MSM. The main clone group CC4 has a large number of toxin genes, and it spreads among MSM. Caution is needed to prevent further spread of this clone group in this population. In sum, our results may provide a foundation for the development of new therapeutic and surveillance strategies for treating MSM.