The statistic shows the population of Nanjing in China from 1980 to 2010, with forecasts up until 2035. In 2010, the population of Nanjing had amounted to about **** million inhabitants and was forecasted to reach **** million in 2019.

Population: Census: Jiangsu: Nanjing data was reported at 9,314.685 Person th in 12-01-2020. This records an increase from the previous number of 8,004.680 Person th for 12-01-2010. Population: Census: Jiangsu: Nanjing data is updated decadal, averaging 8,004.680 Person th from Dec 2000 (Median) to 12-01-2020, with 3 observations. The data reached an all-time high of 9,314.685 Person th in 12-01-2020 and a record low of 6,126.165 Person th in 12-01-2000. Population: Census: Jiangsu: Nanjing data remains active status in CEIC and is reported by Nanjing Municipal Bureau of Statistics. The data is categorized under China Premium Database’s Socio-Demographic – Table CN.GE: Population: Prefecture Level City: By Census.

. China Population: Household Registration: Urbanization Rate: Jiangsu: Nanjing data remains active status in CEIC and is reported by Nanjing Municipal Bureau of Statistics. The data is categorized under China Premium Database’s Socio-Demographic – Table CN.GE: Population: Prefecture Level City: Urbanization Rate.

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

Population: Usual Residence: Urban: Jiangsu: Nanjing data was reported at 8,325.000 Person th in 2023. This records an increase from the previous number of 8,258.000 Person th for 2022. Population: Usual Residence: Urban: Jiangsu: Nanjing data is updated yearly, averaging 7,283.300 Person th from Dec 2005 (Median) to 2023, with 19 observations. The data reached an all-time high of 8,325.000 Person th in 2023 and a record low of 5,259.035 Person th in 2005. Population: Usual Residence: Urban: Jiangsu: Nanjing data remains active status in CEIC and is reported by Nanjing 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.

Population: Household Registration: Number of Birth: Jiangsu: Nanjing data was reported at 49.888 Person th in 2022. This records a decrease from the previous number of 52.786 Person th for 2021. Population: Household Registration: Number of Birth: Jiangsu: Nanjing data is updated yearly, averaging 55.053 Person th from Dec 2000 (Median) to 2022, with 23 observations. The data reached an all-time high of 90.768 Person th in 2017 and a record low of 34.615 Person th in 2002. Population: Household Registration: Number of Birth: Jiangsu: Nanjing data remains active status in CEIC and is reported by Nanjing 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 Change.

Population: District under City: Household Registration: Jiangsu: Nanjing data was reported at 7,390.000 Person th in 2022. This records an increase from the previous number of 7,337.258 Person th for 2021. Population: District under City: Household Registration: Jiangsu: Nanjing data is updated yearly, averaging 6,630.000 Person th from Dec 2010 (Median) to 2022, with 13 observations. The data reached an all-time high of 7,390.000 Person th in 2022 and a record low of 5,483.700 Person th in 2010. Population: District under City: Household Registration: Jiangsu: Nanjing data remains active status in CEIC and is reported by Nanjing 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.

As of 2023, around **** million people were living in the city Nanjing. Nanjing is the largest city of Jiangsu province and was designated as capital in several dynasties in Chinese history.

Population: Inflow: Jiangsu: Nanjing data was reported at 91.655 Person th in 2022. This records a decrease from the previous number of 147.497 Person th for 2021. Population: Inflow: Jiangsu: Nanjing data is updated yearly, averaging 160.085 Person th from Dec 2000 (Median) to 2022, with 23 observations. The data reached an all-time high of 231.863 Person th in 2006 and a record low of 91.655 Person th in 2022. Population: Inflow: Jiangsu: Nanjing data remains active status in CEIC and is reported by Nanjing 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: Jiangsu: Nanjing: Liuhe data was reported at 949.500 Person th in 2020. This records an increase from the previous number of 920.000 Person th for 2017. Population: Jiangsu: Nanjing: Liuhe data is updated yearly, averaging 890.000 Person th from Dec 2004 (Median) to 2020, with 14 observations. The data reached an all-time high of 949.500 Person th in 2020 and a record low of 860.000 Person th in 2004. Population: Jiangsu: Nanjing: Liuhe 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.

In 2019, around ****** babies were born in the city Nanjing, while ****** people passed away there. Nanjing is the largest city of Jiangsu province and was designated as capital in several dynasties in Chinese cities.

Univariate logistic regression for CHD risk factors.

Population: Jiangsu: Nanjing: Gaochun data was reported at 450.000 Person th in 2017. This records an increase from the previous number of 440.000 Person th for 2016. Population: Jiangsu: Nanjing: Gaochun data is updated yearly, averaging 427.000 Person th from Dec 2004 (Median) to 2017, with 13 observations. The data reached an all-time high of 450.000 Person th in 2017 and a record low of 420.000 Person th in 2006. Population: Jiangsu: Nanjing: Gaochun 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.

Multivariate logistic regression for CHD risk factors.

A recent genome-wide association study (GWAS) has identified a new subset of susceptibility loci of Tetralogy of Fallot (TOF), one form of cyanotic congenital heart disease (CHD), on chromosomes 10p11, 10p14, 12q24, 13q31, 15q13 and 16q12 in Europeans. In the current study, we conducted a case-control study in a Chinese population including 1,010 CHD cases [atrial septal defect (ASD), ventricular septal defect (VSD) and TOF] and 1,962 controls to evaluate the associations of these loci with risk of CHD. We found that rs2228638 in NRP1 on 10p11 was significantly increased the risk of TOF (OR = 1.52, 95% CI = 1.13–2.04, P = 0.006), but not in other subgroups including ASD and VSD. In addition, no significant associations were observed between the other loci and the risk of ASD, VSD or TOF. Our results suggested that the genetic variants on 10p11 may serve as candidate markers for TOF susceptibility in Chinese population.

Population: Outflow: Jiangsu: Nanjing data was reported at 39.975 Person th in 2022. This records a decrease from the previous number of 45.038 Person th for 2021. Population: Outflow: Jiangsu: Nanjing data is updated yearly, averaging 103.951 Person th from Dec 2000 (Median) to 2022, with 23 observations. The data reached an all-time high of 157.555 Person th in 2010 and a record low of 39.975 Person th in 2022. Population: Outflow: Jiangsu: Nanjing data remains active status in CEIC and is reported by Nanjing 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.

Relationship between worktime, OPA and the risk of CHD.

Population: Jiangsu: Nanjing: Lishui data was reported at 440.000 Person th in 2017. This records an increase from the previous number of 430.000 Person th for 2016. Population: Jiangsu: Nanjing: Lishui data is updated yearly, averaging 413.700 Person th from Dec 2004 (Median) to 2017, with 13 observations. The data reached an all-time high of 440.000 Person th in 2017 and a record low of 400.000 Person th in 2005. Population: Jiangsu: Nanjing: Lishui 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.

Characteristics of CHD and non-CHD groups.

The 'financialisation' of Chinese housing, land and infrastructure - the use of financial instruments to convert the built environment into investment opportunities - generates momentum and vitality in the Chinese economy and has led to wealth accumulation. This study explores how the Chinese housing boom has been financed in the absence of a more developed financial system, and to what extent the financial sector has contributed to the overall appreciation of housing and land assets. A large questionnaire survey was conducted in six case cities including Shanghai, Shenzhen, Chengdu, Xi'an, Nanjing and Tianjin.The Chinese financial system has fostered rapid economic growth in recent decades through so-called 'land-based financing' (tudi chaizhen) in housing, land and infrastructure development. The 'financialisation' of Chinese housing, land and infrastructure - the use of financial instruments to convert the built environment into investment opportunities - generates momentum and vitality in the Chinese economy and has led to wealth accumulation. Real estate financing instruments such as the real estate investment trust (REITS), mortgage securitisation, reverse mortgages and public-private partnerships (PPP) in infrastructure have been recently invented. On the other hand, traditional real estate financial products such as household mortgages and real estate loans benefit from new internet-based finance. Chinese real estate finance has now entered a phase of 'financial explosion'. However, the concrete channels, complex arrangements and new instruments are not entirely known. This research project aims to investigate how housing, land and infrastructure are actually financed, what are the new financial instruments, to what extent there is a trend of 'financialisation', and what are the risks associated with this transformation. We examine the recent trend of financialisation in terms of the forms and extent of the involvement of both the formal and the unofficial ('shadow banking') sectors in real estate development. Recent developments in REITS and PPP will be examined to show the inflow of financial capital in housing, land, and infrastructure projects. We explore how the Chinese housing boom has been financed in the absence of a more developed financial system, and to what extent the financial sector has contributed to the overall appreciation of housing and land assets. We will also try to understand the potential impacts of financialisation on households, enterprises and local government finances (i.e. the issue of 'local debt') and what are the main factors affecting financial stability. The project investigates three levels of financing mechanisms: projects and enterprises, local governments, and individual households. We choose six case cities: in the coastal region, Shanghai and Shenzhen; the central region: Zhengzhou and Changsha; the western region: Chongqing and Chengdu. At the local government (city) level, we will examine the institutional environment and policies regarding built environment finance, including the involvement of housing provident funds. This research project will assess the recent trend of financialisation in Chinese housing, land and infrastructure sectors and provide a nuanced understanding of the changing financial mode, its dynamics and the new institutional environment. The project will examine emerging financial products and new channels in these sectors and their operational mechanisms. The project will focus on household financial behaviour to understand the new trend of financialisation of real estate and its impact on housing consumption, investment behaviour, and job preference. The project will further assess macroeconomic implications such as the impact on the Chinese financial system, financial product innovation, fiscal policies and company investment. Finally, these findings will lead to an assessment of the potential risks associated with financialisation and recommendations for risk management. The sample was collected through random face to face interview at the site of China Housing Provident Fund Centres in six cities (Shanghai, Shenzhen, Tianjin, Nanjing, Chengdu, Xi’an). Verbal consent was made before interview by the Centre in the same way as other NSFC projects. The rejection rate was 9.6%. The sample reflects the population of housing provident fund applicants rather than the total urban resident population. But because housing provident fund is a mainstream compulsory scheme, the sample reflects the population who qualifies housing provident funds and has the intention to apply for the mortgage.