In 2023, the total population of the Guangdong - Hong Kong - Macao Greater Bay Area in Greater China ranged at 86.88 million. The Guangdong - Hong Kong - Macao Greater Bay Area is the largest and most populated urban area in the world.

In 2022, the total population of the Guangdong - Hong Kong - Macao Greater Bay Area reached around 86.6 million. In terms of population, China's Greater Bay Area was larger than other major Bay Areas in the world. However, per capita GDP was only about half of that in the Tokyo Bay Area and only one seventh of that in the San Francisco Bay Area.

This statistic illustrates the population of the Guangdong - Hong Kong - Macao Greater Bay Area cities in 2023. That year, the population of Guangzhou amounted to approximately 18.83 million people, making it the largest city by population in the region.

The timeline shows the Hong Kong trade balance of services from 2014 to 2024. In 2024, Hong Kong had a trade surplus of about 144.95 billion Hong Kong dollars in service trade, which is a decrease compared to 2023, where the surplus was 153.39 billion Hong Kong dollars.

The data and codes that used in the research "Spatial Cooperative Simulation of Land Use-Population-Economy in the Guangdong-Hong Kong-Macao Greater Bay Area, China" was attahced as follows.The PLUS model was used as one kind of basic simulation models in this study. The software can be found in the "./plus_model" folder. A README file was included in this folder to show how the software can be utilized to implement our approach.The original data of land use, population, and economy can be found in the './original_data' folder and the corresponding driving factor data can be found in the './driving_factor' forlder. All these files was resampled into 1 km grids. These files were used as input data for simulation.The simulation results were included in the './simulated_data' folder. It included the simulation results of land use, population, and economic productions with our proposed approach. With the codes in the './ca_code' folder and the files in the './code_file' folder, the performance of our proposed approach can be evaluated with baseline approaches.The predicted scenarios of land use, population, and economic productions in the year of 2030 were included in the './predicted_data' folder.

driving_factor:Store the driver factor needed for the experiment development_probability:A file containing the development probabilities of the different elements generated by the model original_data:Storage of original element files (2010, 2020) simulated_data:File of elements for storing simulations (2020) predicted_data:Storage of forecast elements document (2030)

Abstract

The Greater Bay Area Cancer Registry (GBACR), in compliance with California state law, gathers information about all cancers diagnosed or treated in a nine-county area (Alameda, Contra Costa, Marin, Monterey, San Benito, San Francisco, San Mateo, Santa...

Documentation

PHS does NOT host these data. This listing is information only.

The Greater Bay Area Cancer Registry (GBACR), in compliance with California state law, gathers information about all cancers diagnosed or treated in a nine-county area (Alameda, Contra Costa, Marin, Monterey, San Benito, San Francisco, San Mateo, Santa Clara and Santa Cruz). This information is obtained from medical records provided by hospitals, doctors\342\200\231 offices, and other related facilities.

The information, stored under secure conditions with strict regulations that protect confidentiality, helps the GBACR understand cancer occurrence and survival in the Greater Bay Area. For each patient, the information includes basic demographic facts like age, gender, and race/ethnicity, as well as cancer type, extent of disease, treatment and survival. Combined over the diverse Bay Area population, this information gives the GBACR and all users an opportunity to learn how such characteristics may be related to cancer causes, mortality, care and prevention.

In addition to its local use, information collected by the GBACR becomes part of state and federal population-based registries whose mission is to monitor cancer occurrence at the state and national levels, respectively. Data from the GBACR have contributed to the National Cancer Institute’s Surveillance, Epidemiology and End Results (SEER) program since 1973. The nine counties are also part of the statewide California Cancer Registry (CCR), which conducts essential monitoring of cancer occurrence and survival in California.

GBACR data are of the highest quality, as recognized by national and international registry standard-setting organizations, including SEER, the National Program for Cancer Registries, and the North American Association for Central Cancer Registries (NAACCR).

The CPIC has also started collecting data on environmenal factors. These data are available in the The California Neighborhoods Data System. This a new resource for examining the impact of neighborhood characteristics on cancer incidence and outcomes in populations includes a compilation of existing geospatial and other secondary data for characterizing contextual factors

A summary and description of social and built environment data and measures in the California Neighborhoods Data System (2010) can be found here: Social and Built Environment Data and Measures

More information about this new data source can be found here: The California Neighborhoods Data System

Patient characteristics All reported cancer cases in the state of California.

Data overview Data categories Socioeconomic status Racial/ethnic composition Immigration/acculturation characteristics Racial/ethnic residential segregation Population density Urbanicity (Rural/Urban) Housing Businesses Commuting Street connectivity Parks Farmers Markets Traffic density Crime Tapestry Segmentation

Notes To apply for these data, you can see instructions here: https://www.ccrcal.org/retrieve-data/data-for-researchers/how-to-request-ccr-data/

In 2023, the total land area of the Guangdong - Hong Kong - Macao Greater Bay Area cities amounted to around 56,000 square kilometers. The land area of Zhaoqing alone was nearly 14,900 square kilometers, making it the largest city by area in the region. In terms of population size, however, Zhaoqing is one of the smaller cities in the Greater Bay Area.

ObjectiveHealthcare system efficiency is a global policy priority in the background of aging populations and in pursuit of universal health coverage (UHC). Some healthcare systems in East Asia have been recognized for being highly efficient, which is attributable to healthy lifestyles, including low smoking rates. Specifically, the Guangdong-Hong Kong-Macao Greater Bay Area (GBA) has offered a unique opportunity to study the link between smoking control and healthcare system efficiency.Materials and methodsBased on the input and output data from healthcare systems across 11 cities in the GBA between 2010 and 2019, a two-stage output-oriented Data Envelopment Analysis (DEA) was employed to assess healthcare efficiency. Additionally, Tobit regression analysis was conducted to evaluate the determinants of efficiency, including smoking rates, urbanization, population aging, and the proportion of floating populations.ResultsThere has been a general trend of improved health production efficiency over the past decade despite fluctuations caused by epidemic shocks. While significant disparities across the region have been identified, Hong Kong and Macao consistently achieved higher efficiency scores compared to other cities in the GBA. The results of the Tobit regression analysis indicate that the coefficients of smoking rates are −1.961 (p = 0.000) and −2.134 (p = 0.000), respectively, with other socioeconomic confounding factors controlled.ConclusionThe healthcare systems in the GBA highlight the critical role of smoking control measures in improving healthcare efficiency in terms of population health outcomes. These findings provide evidence-based support not only for the GBA and mainland China but also for other regions aiming to achieve UHC while addressing the health challenges of aging populations.

Chart and table of population level and growth rate for the San Francisco metro area from 1950 to 2025.

This study used both temperature-humidity and wind efficiency indices at three time-scale resolutions (year, season, and month) for the first time, to analyze the spatio–temporal evolution of urban climate comfort in the Guangdong–Hong Kong–Macau Greater Bay Area (GBA). The main factors affecting human-settlement climate comfort were elucidated and the annual changes in both indices used in the study area exhibited fluctuating growth from 2005 to 2020. Moreover, the annual growth of the temperature-humidity and wind efficiency indices in the southern cities of the GBA was relatively fast. In contrast, the annual growth of these indices in the northern cities of the GBA was relatively slow. Overall, the climate of the human-settlement environments in the GBA was the most comfortable in spring and autumn, and summer and winter were characterized by hot and cold climate conditions, respectively. We did not identify any prominent change in the climate comfort of spring and autumn from 2005 to 2020; however, the climate comfort degree deteriorated in summer and ameliorated in winter. On a monthly scale, the human-settlement environments in the GBA were the coldest in December and the hottest in July. The urban human settlements were cold in January and February, hot in May, June, August, and September, and the most comfortable in March, April, October, and November in 2020. We analyzed the factors affecting the climate comfort of human-settlement environments in the study area and found that elevation, gross industrial production, population scale, and construction land area were the most influential parameters. Notably, the impact of natural factors on the climate comfort of human-settlement environments was more significant than that of anthropogenic factors. Moreover, the related factors affected the temperature-humidity index more strongly than the wind efficiency index. Overall, our results provide data-driven guidelines for improving the climate comfort of urban human settlements in the GBA.

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.

Chart and table of population level and growth rate for the Tampa metro area from 1950 to 2025.

Shenzhen is one of the fastest growing cities in China. Based on estimates, the population of Shenzhen is expected to reach over 15 million by 2035. This rapidly growing city is attracting an increasing number of young Chinese, who want to start and grow their careers.

Development history of Shenzhen 

Shenzhen is located next to Hong Kong, one of the key financial and business centers of the world.  The city has a short history - Shenzhen wasn’t technically a city until 1979. Now, it is home to the largest economy in China’s Greater Bay Area, surpassing its neighbor Hong Kong. Shenzhen is also called China’s Silicon Valley, since many China’s tech-giants are headquartered there. As a rising financial center, Shenzhen also hosts one of the two Stock Exchanges in Mainland China. The headquarter of China’s leading insurance company Ping An Insurance is in Shenzhen as well.

Immigration to Shenzhen 

Enticed by its fast-developing economy, people from across the whole country have relocated to Shenzhen to take their chances at new job and life opportunities. In its 40-year development, countless migrant workers have contributed to this city’s construction projects and labor-intensive manufacturing production. Many young graduates have found it easier to find a job in Shenzhen compared to other first-tier cities. Promotion opportunities have attracted top talent in many sectors to come to this city. Accordingly, with the rise of population, the cost of housing in Shenzhen has also seen a drastic increase.

In 2023, the population of the San Francisco-Oakland-Berkeley metropolitan area in the United States was about 4.57 million people. This is a slight decrease from the previous year, when the population was about 4.58 million people.

Spatial autocorrelation results for the public attention index in China.

Seasonal concentration index and Herfindahl index of public attention index in China.

By the end of 2023, around 11.39 million people were employed in Guangdong's capital Guangzhou. As a part of China's Guangdong-Hong Kong-Macau Greater Bay Area, Guangzhou has attracted various Chinese and foreigners to work in the city.