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.

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

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.

Population: Household Registration: Death Rate: Jiangsu: Nanjing data was reported at 6.170 ‰ in 2022. This records an increase from the previous number of 6.020 ‰ for 2021. Population: Household Registration: Death Rate: Jiangsu: Nanjing data is updated yearly, averaging 5.770 ‰ from Dec 2000 (Median) to 2022, with 23 observations. The data reached an all-time high of 7.870 ‰ in 2010 and a record low of 5.150 ‰ in 2006. Population: Household Registration: Death 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: Household Registration: Natural Growth Rate.

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.

. 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.

Univariate logistic regression for CHD risk factors.

Character data set is an important basis for the study of historical figures in the information age. This data set takes “Nanjing Centennial City History; Volume of People” as the main data source; including the information of 126 Nanjing and guest historical people with great influence in the fields of politics; education; science and technology; literature and art; which contains data items such as the common name; alias; birth and death time; birthplace; experience; and relationship of people. This data set can provide data basis for the research of Nanjing historical figures information query and statistics; figure relationship visualization and analysis; figure life map; etc.; and promote the in-depth mining and utilization of Nanjing history and culture.

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.

Distribution of worktime between sedentary and non-sedentary employed population.

Background:Aedes albopictus is an indigenous primary vector of dengue and Zika viruses in China. Wolbachia is a gram-negative and common intracellular bacteria, which is maternally inherited endosymbionts and could expand their propagation in host populations by means of various manipulations. Compared with research on the dispersion of Ae. albopictus at the macrospatial level (mainly at the country or continent level), little is known about its variation and Wolbachia infection at the microspatial level, which is essential for its management. Meanwhile, no local cases of dengue fever have been recorded in the history of Nanjing, which implies that few adulticides have been applied in the city. Thus, the present study examines how the Ae. albopictus population varies and the Wolbachia infection status of each population among microspatial regions of Nanjing City.Methods: The genetic structure of 17 Aedes albopictus populations collected from urban, urban fringe, and rural regions of Nanjing City was investigated based on 9 microsatellite loci and the mitochondrial coxI gene. The Wolbachia infection status of each population was also assessed with Wolbachia A- and Wolbachia B-specific primers.Results: Nine out of 58 tested pairs of microsatellite markers were highly polymorphic, with a mean PIC value of 0.560, and these markers were therefore chosen for microsatellite genotyping analysis. The Na value of each Ae. albopictus population was very high, and the urban area populations (7.353 ± 4.975) showed a lower mean value than the urban fringe region populations (7.866 ± 5.010). A total of 19 coxI haplotypes were observed among 329 Ae. albopictus individuals via haplotype genotyping, with the highest diversity observed among the urban fringe Ae. albopictus populations (Hd = 0.456) and the lowest among the urban populations (Hd = 0.277). Each Ae. albopictus population showed significant departure from HWE, and significant population expansion was observed in only three populations from the urban (ZSL), urban fringe (HAJY), and rural areas (HSZY) (p < 0.05). Combined with DAPC analysis, all the Ae. albopictus populations were adequately allocated to two clades with significant genetic differences according to population structure analysis, and the best K value was equal to two. AMOVA results showed that most (96.18%) of the genetic variation detected in Ae. albopictus occurred within individuals (FIT = 0.22238, p < 0.0001), while no significant positive correlation was observed via isolation by distance (IBD) analysis (R2 = 0.03262, p = 0.584). The TCS network of all haplotypes showed that haplotype 1 (H1) and haplotype 4 (H4) were the most frequent haplotypes among all populations, and the haplotype frequency significantly increased from urban regions (36.84%) to rural regions (68.42%). Frequent migration was observed among Ae. albopictus populations from rural to urban regions via the urban fringe region, with four direct migration routes between rural and urban regions. Furthermore, Wolbachia genotyping results showed that most of the individuals of each population were coinfected with Wolbachia A and Wolbachia B. The independent infection rate of Wolbachia A was slightly higher than that of Wolbachia B, and no significant differences were observed among different regions.Conclusion: In the microspatial environment of Nanjing City, the urban fringe region is an important region for the dispersion of Ae. albopictus populations between rural and urban areas, and Wolbachia A and Wolbachia B coinfection is the most common Wolbachia infection status in all Ae. albopictus populations among different regions.

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.

Relationship between occupational characteristics and CHD.

Population: Jiangsu: Nanjing: Household Registration data was reported at 7,393.604 Person th in 2022. This records an increase from the previous number of 7,337.258 Person th for 2021. Population: Jiangsu: Nanjing: Household Registration data is updated yearly, averaging 6,297.700 Person th from Dec 1996 (Median) to 2022, with 27 observations. The data reached an all-time high of 7,393.604 Person th in 2022 and a record low of 5,254.300 Person th in 1996. Population: Jiangsu: Nanjing: Household Registration 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.

Relationship between worktime, OPA and the risk of CHD.

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.

ObjectiveTo explore the association of working hours and occupational physical activity (OPA) with the occurrence of coronary heart disease (CHD) in a Chinese population.MethodsA total of 595 participants (354 and 241 patients with and without CHD, respectively) aged between 24 and 65 were enrolled in our study, which was conducted at the First Affiliated Hospital of Nanjing Medical University between December 2015 and October 2016. Participant characteristics were collected from face-to-face questionnaires, and logistic regression analysis was conducted to examine the association of working hours and OPA with the occurrence of CHD.ResultsCompared with non-employed people, long working hours (especially ≥55 hours/week) contributed to the occurrence of CHD (adjusted odds ratio[OR] = 2.213, 95% confidence interval [CI]: 1.125, 4.355, P = 0.021) after multivariate adjustment in the Chinese population. With the extension of worktime, the CHD risk increased (P for the dose-response trend = 0.022). Meanwhile, even after adjusting for engagement in physical activity during leisure time, sedentary behavior at work had an adverse effect on CHD risk (adjusted OR = 2.794, 95%CI: 1.526, 5.115, P = 0.001), and a linear relationship was also found between OPA and CHD (P for the trend = 0.005).ConclusionsLong working hours and sedentary behavior at work are associated with a high risk of CHD. In addition, prolonged working hours in sedentary occupations increases the risk of CHD, independent of engagement in leisure time physical activity.

BackgroundThe growing burden of end-stage renal disease (ESRD) has been a great challenge to the health care system of China. However, the exact epidemiological data for ESRD in China remain unclear. We aimed to investigate the epidemiology of ESRD treated by renal replacement therapy (RRT) in Nanjing based on analysing ten-year data of Nanjing three million insurance covered population.MethodsUsing the electronic registry system of Urban Employee Basic Medical Insurance (UEBMI), we included all subjects insured by UEBMI in Nanjing from 2005 to 2014 and identified subjects who developed ESRD and started RRT in this cohort.ResultsThe UEBMI population in Nanjing increased from 1,301,882 in 2005 to 2,921,065 in 2014, among which a total of 5,840 subjects developed ESRD and received RRT. Over the 10-year period, the adjusted incidence rates of RRT in the UEBMI cohort gradually decreased from 289.3pmp in 2005 to 218.8pmp in 2014. However, the adjusted prevalence rate increased steadily from 891.7pmp in 2005 to 1,228.6pmp in 2014. The adjusted annual mortality rate decreased from 138.4 per 1000 patient-years in 2005 to 97.8 per 1000 patient-years in 2014. The long-term survival rate fluctuated over the past decade, with the 1-year survival rate ranging from 85.1% to 91.7%, the 3-year survival rate from 69.9% to 78.3% and the 5-year survival rate from 58% to 65.4%.ConclusionNanjing is facing an increasing burden of ESRD with its improvement of medical reform. The ten-year complete registry data on RRT in urban employees in Nanjing provided a unique opportunity to understand the real threat of ESRD confronting China during its process of health care transition.

: Data type: statistical data

Population: Household Registration: Male: Jiangsu: Nanjing data was reported at 3,659.214 Person th in 2022. This records an increase from the previous number of 3,636.612 Person th for 2021. Population: Household Registration: Male: Jiangsu: Nanjing data is updated yearly, averaging 3,209.000 Person th from Dec 2000 (Median) to 2022, with 23 observations. The data reached an all-time high of 3,659.214 Person th in 2022 and a record low of 2,816.586 Person th in 2000. Population: Household Registration: Male: 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: By Sex.