In 2024, around 21.83 million permanent residents were living in the administrative area of Beijing municipality. Back in 2017, the Beijing municipal government had announced plans to limit Beijing's population to 23 million by 2020 in order to mitigate the contradiction between rapid population growth and resource and environment restrictions.

In 2024, around **** percent of the population of Beijing municipality in China were 60 years old or older. The share of people aged 65 or older amounted to **** percent. The share of old people will further grow in the future as the median age of the population is gradually rising.

Population: Beijing: Usual Residence data was reported at 21,832.000 Person th in 2024. This records a decrease from the previous number of 21,858.000 Person th for 2023. Population: Beijing: Usual Residence data is updated yearly, averaging 13,851.000 Person th from Dec 1978 (Median) to 2024, with 47 observations. The data reached an all-time high of 21,954.000 Person th in 2016 and a record low of 8,715.000 Person th in 1978. Population: Beijing: Usual Residence data remains active status in CEIC and is reported by Beijing 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 natural growth rate of the resident population in Beijing municipality in China amounted to **** people per 1,000 inhabitants. This means that the number of births per 1,000 inhabitants of Beijing's total resident population exceeded the number of deaths by that number.

Beijing is the capital city of the most populous country in the world. In 2010, the resident population living in the urban areas of Beijing amounted to about ***** million inhabitants and was forecasted to grow up to almost **** million by 2024. The population of the administrative area of Beijing municipality, including the outskirts of the city, reached **** million in 2024. Population development of China As the political and cultural center of China, Beijing has proven its attractiveness to Chinese as well as foreigners as a place to work and live. Furthering its appeal, Beijing is home to some of the best education and medical resources in China. Due to China’s Hukou system, permanent residents who are registered in Beijing can enjoy social benefits that are different from those in other regions. Beijing is also one of the key destinations for migrant workers in China. These migrant workers have contributed significantly to the rapid development of this giant city over the past years. Pressure from increasing population Beijing is faced with pressure from its increasing population. Despite poor air quality, increasing traffic congestion, crowded subway trains, and unaffordable housing prices, Beijing is still perceived as a place for many young people to pursue their dreams. The government is spending more on infrastructure construction to increase the city’s capacity and to improve the connection of suburban areas to the downtown. The Daxing International Airport, which was put into operation in 2019, will alleviate the pressure on the current Beijing Capital International Airport and hopefully improve the economic development of the southern part of Beijing.

Population: Birth Rate: Beijing data was reported at 0.609 % in 2024. This records an increase from the previous number of 0.563 % for 2023. Population: Birth Rate: Beijing data is updated yearly, averaging 0.792 % from Dec 1990 (Median) to 2024, with 35 observations. The data reached an all-time high of 1.301 % in 1990 and a record low of 0.510 % in 2003. Population: Birth Rate: Beijing 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.GA: Population: Birth Rate: By Region.

Population: Natural Growth Rate: Beijing data was reported at 0.001 % in 2024. This records an increase from the previous number of -0.050 % for 2023. Population: Natural Growth Rate: Beijing data is updated yearly, averaging 0.263 % from Dec 2000 (Median) to 2024, with 25 observations. The data reached an all-time high of 0.483 % in 2014 and a record low of -0.050 % in 2023. Population: Natural Growth Rate: Beijing 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.GA: Population: Natural Growth Rate: By Region.

In 2023, the average population density of Beijing municipality was ***** people per square kilometer, slightly less than in the previous year. Beijing municipality includes the city center and the relatively large urban area around the city. The population density in different districts of Beijing municipality varies greatly.

Population: Death Rate: Beijing data was reported at 0.608 % in 2024. This records a decrease from the previous number of 0.613 % for 2023. Population: Death Rate: Beijing data is updated yearly, averaging 0.530 % from Dec 1990 (Median) to 2024, with 35 observations. The data reached an all-time high of 0.616 % in 1993 and a record low of 0.426 % in 2011. Population: Death Rate: Beijing 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.GA: Population: Death Rate: By Region.

In 2024, the mortality rate in Beijing municipality ranged at approximately **** deaths per 1,000 inhabitants. Beijing's birth rate was slightly higher than its mortality rate that year, resulting in a natural population increase on a low level. As the population is aging, the number of deaths will most likely increase in the future.

Population: Usual Residence: Urbanization Rate: Beijing data was reported at 88.200 % in 2024. This records an increase from the previous number of 87.800 % for 2023. Population: Usual Residence: Urbanization Rate: Beijing data is updated yearly, averaging 86.233 % from Dec 2000 (Median) to 2024, with 25 observations. The data reached an all-time high of 88.200 % in 2024 and a record low of 77.545 % in 2000. Population: Usual Residence: Urbanization Rate: Beijing data remains active status in CEIC and is reported by Beijing 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: Usual Residence: Urban: Beijing data was reported at 19,260.000 Person th in 2024. This records an increase from the previous number of 19,198.000 Person th for 2023. Population: Usual Residence: Urban: Beijing data is updated yearly, averaging 17,927.000 Person th from Dec 2000 (Median) to 2024, with 25 observations. The data reached an all-time high of 19,260.000 Person th in 2024 and a record low of 10,574.000 Person th in 2000. Population: Usual Residence: Urban: Beijing data remains active status in CEIC and is reported by Beijing Municipal Bureau of Statistics. The data is categorized under China Premium Database’s Socio-Demographic – Table CN.GE: Population: Prefecture Level City: Usual Residence: By Residence.

In 2024, approximately **** children per 1,000 regular resident population were born in Beijing municipality in China. Beijing's birth rate was slightly higher than its mortality rate in 2024, resulting in a natural population increase of **** per 1,000 residents.

The urbanization rate of Beijing municipality has increased from 57.6 percent in 1980 to 88.2 percent in 2024. The administrative area of Beijing includes several rural districts and suburbs surrounding the central metropolis.

CN: Population: Usual Residence: Rural: Beijing data was reported at 2,572.000 Person th in 2024. This records a decrease from the previous number of 2,660.000 Person th for 2023. CN: Population: Usual Residence: Rural: Beijing data is updated yearly, averaging 2,792.000 Person th from Dec 2000 (Median) to 2024, with 25 observations. The data reached an all-time high of 3,062.000 Person th in 2000 and a record low of 2,508.000 Person th in 2006. CN: Population: Usual Residence: Rural: Beijing data remains active status in CEIC and is reported by Beijing Municipal Bureau of Statistics. The data is categorized under China Premium Database’s Socio-Demographic – Table CN.GE: Population: Prefecture Level City: Usual Residence: By Residence.

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.

CHCP Overview:The human behavior and brain are shaped by genetic, environmental and cultural interactions. Recent advances in neuroimaging integrate multimodal imaging data from a large population and start to explore the large-scale structural and functional connectomic architectures of the human brain. One of the major pioneers is the Human Connectome Project (HCP) that developed sophisticated imaging protocols and has built a collection of high-quality multimodal neuroimaging, behavioral and genetic data from US population. A large-scale neuroimaging project parallel to the HCP, but with a focus on the East Asian population, will allow comparisons of brain-behavior associations across different ethnicities and cultures. The Chinese Human Connectome Project (CHCP) is launched in 2017 and led by Professor Jia-Hong GAO at Peking University, Beijing, China. CHCP aims to provide large sets of multimodal neuroimaging, behavioral and genetic data on the Chinese population that are comparable to the data of the HCP. The CHCP protocols were almost identical to those of the HCP, including the procedure for 3T MRI scanning, the data acquisition parameters, and the task paradigms for functional brain imaging. The CHCP also collected behavioral and genetic data that were compatible with the HCP dataset. The first public release of the CHCP dataset is in 2022. CHCP dataset includes high-resolution structural MR images (T1W and T2W), resting-state fMRI (rfMRI), task fMRI (tfMRI), and high angular resolution diffusion MR images (dMRI) of the human brain as well as behavioral data based on Chinese population. The unprocessed "raw" images of CHCP dataset (about 1.85 TB) have been released on the platform and can be downloaded. Considering our current cloud-storage service, sharing full preprocessed images (up to 70 TB) requires further construction. We will be actively cooperating with researchers who contact us for academic request, offering case-by-case solution to access the preprocessed data in a timely manner, such as by mailing hard disks or a third-party trusted cloud-storage service. V2 Release (Date: January 16, 2023):Here, we released the seven major domains task fMRI EVs files, including: 1) visual, motion, somatosensory, and motor systems; 2) category specific representations; 3) working memory/cognitive control systems; 4) language processing (semantic and phonological processing); 5) social cognition (Theory of Mind); 6) relational processing; and 7) emotion processing.V3 Release (Date: January 12, 2024):This version of data release primarily discloses the CHCP raw MRI dataset that underwent “HCP minimal preprocessing pipeline”, located in CHCP_ScienceDB_preproc folder (about 6.90 TB). In this folder, preprocessed MRI data includes T1W, T2W, rfMRI, tfMRI, and dMRI modalities for all young adulthood participants, as well as partial results for middle-aged and older adulthood participants in the CHCP dataset. Following the data sharing strategy of the HCP, we have eliminated some redundant preprocessed data, resulting in a final total size of the preprocessed CHCP dataset is about 6.90 TB in zip files. V4 Release (Date: December 4, 2024):In this update, we have fixed the issue with the corrupted compressed file of preprocessed data for subject 3011, and removed the incorrect preprocessed results for subject 3090. Additionally, we have updated the subject file information list. Additionally, this release includes the update of unprocessed "raw" images of the CHCP dataset in CHCP_ScienceDB_unpreproc folder (about 1.85 TB), addressing the previously insufficient anonymization of T1W and T2W modalities data for some older adulthood participants in versions V1 and V2. For more detailed information, please refer to the data descriptions in versions V1 and V2.CHCP Summary:Subjects:366 healthy adults (Chinese Han)Imaging Scanner:3T MR (Siemens Prisma)Institution:Peking University, Beijing, ChinaFunding Agencies:Beijing Municipal Science & Technology CommissionChinese Institute for Brain Research (Beijing)National Natural Science Foundation of ChinaMinistry of Science and Technology of China CHCP Citations:Papers, book chapters, books, posters, oral presentations, and all other printed and digital presentations of results derived from CHCP data should contain the following wording in the acknowledgments section: "Data were provided [in part] by the Chinese Human Connectome Project (CHCP, PI: Jia-Hong Gao) funded by the Beijing Municipal Science & Technology Commission, Chinese Institute for Brain Research (Beijing), National Natural Science Foundation of China, and the Ministry of Science and Technology of China."

In 2024, around ******* undergraduate students were enrolled at public colleges and universities in Beijing in China. In addition to undergraduate students, around ******* master and doctorate students were enrolled at Beijing's universities that year.

Dataset for the textbook Computational Methods and GIS Applications in Social Science (3rd Edition), 2023 Fahui Wang, Lingbo Liu Main Book Citation: Wang, F., & Liu, L. (2023). Computational Methods and GIS Applications in Social Science (3rd ed.). CRC Press. https://doi.org/10.1201/9781003292302 KNIME Lab Manual Citation: Liu, L., & Wang, F. (2023). Computational Methods and GIS Applications in Social Science - Lab Manual. CRC Press. https://doi.org/10.1201/9781003304357 KNIME Hub Dataset and Workflow for Computational Methods and GIS Applications in Social Science-Lab Manual Update Log If Python package not found in Package Management, use ArcGIS Pro's Python Command Prompt to install them, e.g., conda install -c conda-forge python-igraph leidenalg NetworkCommDetPro in CMGIS-V3-Tools was updated on July 10,2024 Add spatial adjacency table into Florida on June 29,2024 The dataset and tool for ABM Crime Simulation were updated on August 3, 2023, The toolkits in CMGIS-V3-Tools was updated on August 3rd,2023. Report Issues on GitHub https://github.com/UrbanGISer/Computational-Methods-and-GIS-Applications-in-Social-Science Following the website of Fahui Wang : http://faculty.lsu.edu/fahui Contents Chapter 1. Getting Started with ArcGIS: Data Management and Basic Spatial Analysis Tools Case Study 1: Mapping and Analyzing Population Density Pattern in Baton Rouge, Louisiana Chapter 2. Measuring Distance and Travel Time and Analyzing Distance Decay Behavior Case Study 2A: Estimating Drive Time and Transit Time in Baton Rouge, Louisiana Case Study 2B: Analyzing Distance Decay Behavior for Hospitalization in Florida Chapter 3. Spatial Smoothing and Spatial Interpolation Case Study 3A: Mapping Place Names in Guangxi, China Case Study 3B: Area-Based Interpolations of Population in Baton Rouge, Louisiana Case Study 3C: Detecting Spatiotemporal Crime Hotspots in Baton Rouge, Louisiana Chapter 4. Delineating Functional Regions and Applications in Health Geography Case Study 4A: Defining Service Areas of Acute Hospitals in Baton Rouge, Louisiana Case Study 4B: Automated Delineation of Hospital Service Areas in Florida Chapter 5. GIS-Based Measures of Spatial Accessibility and Application in Examining Healthcare Disparity Case Study 5: Measuring Accessibility of Primary Care Physicians in Baton Rouge Chapter 6. Function Fittings by Regressions and Application in Analyzing Urban Density Patterns Case Study 6: Analyzing Population Density Patterns in Chicago Urban Area >Chapter 7. Principal Components, Factor and Cluster Analyses and Application in Social Area Analysis Case Study 7: Social Area Analysis in Beijing Chapter 8. Spatial Statistics and Applications in Cultural and Crime Geography Case Study 8A: Spatial Distribution and Clusters of Place Names in Yunnan, China Case Study 8B: Detecting Colocation Between Crime Incidents and Facilities Case Study 8C: Spatial Cluster and Regression Analyses of Homicide Patterns in Chicago Chapter 9. Regionalization Methods and Application in Analysis of Cancer Data Case Study 9: Constructing Geographical Areas for Mapping Cancer Rates in Louisiana Chapter 10. System of Linear Equations and Application of Garin-Lowry in Simulating Urban Population and Employment Patterns Case Study 10: Simulating Population and Service Employment Distributions in a Hypothetical City Chapter 11. Linear and Quadratic Programming and Applications in Examining Wasteful Commuting and Allocating Healthcare Providers Case Study 11A: Measuring Wasteful Commuting in Columbus, Ohio Case Study 11B: Location-Allocation Analysis of Hospitals in Rural China Chapter 12. Monte Carlo Method and Applications in Urban Population and Traffic Simulations Case Study 12A. Examining Zonal Effect on Urban Population Density Functions in Chicago by Monte Carlo Simulation Case Study 12B: Monte Carlo-Based Traffic Simulation in Baton Rouge, Louisiana Chapter 13. Agent-Based Model and Application in Crime Simulation Case Study 13: Agent-Based Crime Simulation in Baton Rouge, Louisiana Chapter 14. Spatiotemporal Big Data Analytics and Application in Urban Studies Case Study 14A: Exploring Taxi Trajectory in ArcGIS Case Study 14B: Identifying High Traffic Corridors and Destinations in Shanghai Dataset File Structure 1 BatonRouge Census.gdb BR.gdb 2A BatonRouge BR_Road.gdb Hosp_Address.csv TransitNetworkTemplate.xml BR_GTFS Google API Pro.tbx 2B Florida FL_HSA.gdb R_ArcGIS_Tools.tbx (RegressionR) 3A China_GX GX.gdb 3B BatonRouge BR.gdb 3C BatonRouge BRcrime R_ArcGIS_Tools.tbx (STKDE) 4A BatonRouge BRRoad.gdb 4B Florida FL_HSA.gdb HSA Delineation Pro.tbx Huff Model Pro.tbx FLplgnAdjAppend.csv 5 BRMSA BRMSA.gdb Accessibility Pro.tbx 6 Chicago ChiUrArea.gdb R_ArcGIS_Tools.tbx (RegressionR) 7 Beijing BJSA.gdb bjattr.csv R_ArcGIS_Tools.tbx (PCAandFA, BasicClustering) 8A Yunnan YN.gdb R_ArcGIS_Tools.tbx (SaTScanR) 8B Jiangsu JS.gdb 8C Chicago ChiCity.gdb cityattr.csv ...

As of 2023, the bulk of the Chinese population was aged between 25 and 59 years, amounting to around half of the population. A breakdown of the population by broad age groups reveals that around 61.3 percent of the total population was in working age between 16 and 59 years in 2023. Age cohorts below 25 years were considerably smaller, although there was a slight growth trend in recent years. Population development in China Population development in China over the past decades has been strongly influenced by political and economic factors. After a time of high fertility rates during the Maoist regime, China introduced birth-control measures in the 1970s, including the so-called one-child policy. The fertility rate dropped accordingly from around six children per woman in the 1960s to below two at the end of the 20th century. At the same time, life expectancy increased consistently. In the face of a rapidly aging society, the government gradually lifted the one-child policy after 2012, finally arriving at a three-child policy in 2021. However, like in most other developed countries nowadays, people in China are reluctant to have more than one or two children due to high costs of living and education, as well as changed social norms and private values. China’s top-heavy age pyramid The above-mentioned developments are clearly reflected in the Chinese age pyramid. The age cohorts between 30 and 39 years are the last two larger age cohorts. The cohorts between 15 and 24, which now enter childbearing age, are decisively smaller, which will have a negative effect on the number of births in the coming decade. When looking at a gender distribution of the population pyramid, a considerable gender gap among the younger age cohorts becomes visible, leaving even less room for growth in birth figures.