The statistic shows the population of Xiamen in China from 1980 to 2010, with forecasts up until 2035. In 2010, the population of Xiamen had amounted to about **** million inhabitants and was forecasted to grow up to around **** million by 2020.

Population: Census: Fujian: Xiamen data was reported at 5,163.970 Person th in 12-01-2020. This records an increase from the previous number of 3,531.347 Person th for 12-01-2010. Population: Census: Fujian: Xiamen data is updated decadal, averaging 3,531.347 Person th from Dec 2000 (Median) to 12-01-2020, with 3 observations. The data reached an all-time high of 5,163.970 Person th in 12-01-2020 and a record low of 2,053.070 Person th in 12-01-2000. Population: Census: Fujian: Xiamen data remains active status in CEIC and is reported by Xiamen 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: Fujian: Xiamen: Usual Residence data was reported at 5,327.000 Person th in 2023. This records an increase from the previous number of 5,308.000 Person th for 2022. Population: Fujian: Xiamen: Usual Residence data is updated yearly, averaging 3,935.000 Person th from Dec 2000 (Median) to 2023, with 24 observations. The data reached an all-time high of 5,327.000 Person th in 2023 and a record low of 2,050.000 Person th in 2000. Population: Fujian: Xiamen: Usual Residence data remains active status in CEIC and is reported by Xiamen Municipal Bureau of Statistics. The data is categorized under China Premium Database’s Socio-Demographic – Table CN.GE: Population: Prefecture Level City.

Historical dataset of population level and growth rate for the Xiamen, China metro area from 1950 to 2026.

Population: Household Registration: Male: Fujian: Xiamen data was reported at 1,491.323 Person th in 2024. This records an increase from the previous number of 1,463.452 Person th for 2023. Population: Household Registration: Male: Fujian: Xiamen data is updated yearly, averaging 950.496 Person th from Dec 2000 (Median) to 2024, with 25 observations. The data reached an all-time high of 1,491.323 Person th in 2024 and a record low of 667.793 Person th in 2000. Population: Household Registration: Male: Fujian: Xiamen data remains active status in CEIC and is reported by Xiamen 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.

Population: Household Registration: Urban: Fujian: Xiamen data was reported at 2,653.000 Person th in 2023. This records an increase from the previous number of 2,565.933 Person th for 2022. Population: Household Registration: Urban: Fujian: Xiamen data is updated yearly, averaging 1,571.041 Person th from Dec 2002 (Median) to 2023, with 22 observations. The data reached an all-time high of 2,653.000 Person th in 2023 and a record low of 837.409 Person th in 2003. Population: Household Registration: Urban: Fujian: Xiamen data remains active status in CEIC and is reported by Xiamen 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: Usual Residence: Rural: Fujian: Xiamen data was reported at 489.551 Person th in 2023. This records a decrease from the previous number of 520.715 Person th for 2022. Population: Usual Residence: Rural: Fujian: Xiamen data is updated yearly, averaging 507.720 Person th from Dec 2010 (Median) to 2023, with 14 observations. The data reached an all-time high of 552.960 Person th in 2019 and a record low of 416.602 Person th in 2010. Population: Usual Residence: Rural: Fujian: Xiamen data remains active status in CEIC and is reported by Xiamen 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.

CN: Population: Household Registration: Birth Rate: Fujian: Xiamen data was reported at 7.150 ‰ in 2023. This records a decrease from the previous number of 11.250 ‰ for 2022. CN: Population: Household Registration: Birth Rate: Fujian: Xiamen data is updated yearly, averaging 12.255 ‰ from Dec 2000 (Median) to 2023, with 24 observations. The data reached an all-time high of 24.330 ‰ in 2017 and a record low of 7.150 ‰ in 2023. CN: Population: Household Registration: Birth Rate: Fujian: Xiamen data remains active status in CEIC and is reported by Xiamen 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.

CN: Population: Non-natural Change: Fujian: Xiamen data was reported at 89.863 Person th in 2022. This records an increase from the previous number of 64.552 Person th for 2021. CN: Population: Non-natural Change: Fujian: Xiamen data is updated yearly, averaging 48.786 Person th from Dec 2001 (Median) to 2022, with 22 observations. The data reached an all-time high of 150.002 Person th in 2019 and a record low of 18.707 Person th in 2009. CN: Population: Non-natural Change: Fujian: Xiamen data remains active status in CEIC and is reported by Xiamen 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.

BackgroundCervical cancer is primarily caused by HPV infection. The epidemiology of HPV infection in specific areas is of great meaning of guide cervical cancer screening and formulating HPV vaccination strategies. Here, we evaluated the epidemiological characteristics of HPV infection in Xiamen population.MethodsIn total, 159,049 cervical exfoliated cell samples collected from female outpatients in Women and Children’s Hospital, School of Medicine, Xiamen between January 2013 and July 2023 were analyzed. HPV DNA detection was performed using HPV genotyping kits (Hybribio Limited Corp, China). An analysis was conducted on the prevalence of HPV infection, taking into account factors such as age, year, and multiple patterns of HPV infection. The differences in prevalence among age groups and years were compared using χ2 test.ResultsThe overall prevalence of any 21 HPV genotypes was 18.4%, of which the high-risk HPV (HR-HPV) positive rate was 14.6%. The age-specific prevalence of HPV infection showed a bimodal distribution, with two distinct peaks, one at

CN: Population: Inflow: Fujian: Xiamen data was reported at 177.776 Person th in 2022. This records an increase from the previous number of 152.856 Person th for 2021. CN: Population: Inflow: Fujian: Xiamen data is updated yearly, averaging 100.993 Person th from Dec 2001 (Median) to 2022, with 22 observations. The data reached an all-time high of 230.726 Person th in 2019 and a record low of 34.938 Person th in 2002. CN: Population: Inflow: Fujian: Xiamen data remains active status in CEIC and is reported by Xiamen 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.

This dataset contains historical air quality time series for Xiamen covering 2022-08-01 to 2026-02-18. It includes key air pollution indicators such as AQI indices and major pollutants, plus city metadata including coordinates, administrative areas, and population. Use this dataset to analyze long-run air quality trends in Xiamen, compare Xiamen with other cities, and build models that link air quality to urban characteristics. Air quality values are retrieved from the Open-Meteo Air Quality service using the cams_global domain, and city metadata is derived from the GeoNames city list. Nitiraj Kulkarni

CN: Population: Household Registration: Rural: Fujian: Xiamen data was reported at 367.800 Person th in 2023. This records an increase from the previous number of 364.089 Person th for 2022. CN: Population: Household Registration: Rural: Fujian: Xiamen data is updated yearly, averaging 365.945 Person th from Dec 2002 (Median) to 2023, with 22 observations. The data reached an all-time high of 580.170 Person th in 2003 and a record low of 336.656 Person th in 2016. CN: Population: Household Registration: Rural: Fujian: Xiamen data remains active status in CEIC and is reported by Xiamen 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.

CN: Population: Household Registration: Natural Change: Fujian: Xiamen data was reported at 23.507 Person th in 2022. This records a decrease from the previous number of 24.152 Person th for 2021. CN: Population: Household Registration: Natural Change: Fujian: Xiamen data is updated yearly, averaging 17.425 Person th from Dec 2000 (Median) to 2022, with 23 observations. The data reached an all-time high of 41.185 Person th in 2017 and a record low of 4.783 Person th in 2000. CN: Population: Household Registration: Natural Change: Fujian: Xiamen data remains active status in CEIC and is reported by Xiamen 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.

Background & Aims: Hepatitis B virus (HBV) infection is a significant cause of liver function damage. However, previous studies on HBV mainly aimed at ordinary people, and there is a lack of consensus on the relationship between HBV infection and gestational diabetes mellitus (GDM) and whether HBV-infected pregnant women should undergo antiviral treatment. In addition, systematic studies on the impact of HBV infection on GDM have rarely been studied directly. Therefore, the overall goal of this study was to pursue the association between HBV infection, liver function, and GDM using Xiamen area gestational big data.Methods: Using the Xiamen Primary Health Information System-maternal and child health information system, the data on participants (138,867 in total) expected confinement between 2008 and 2018 were included. Using univariate and multivariate logistic regressions, we constructed models to determine the role of HBV infection and liver function status in GDM. In addition, an analysis of variance tests was performed to study whether the relationship between HBsAg and GDM differed in the normal liver function and the abnormal liver function subgroups.Results: HBsAg's positive status showed a substantial correlation with GDM onset in univariate and multivariate logistic regressions (p < 0.001). Subgroup analysis among HBsAg, liver function, and GDM suggests that both HBsAg and liver function affect the onset of GDM and have the highest prevalence of both abnormalities. Furthermore, ANOVA was used to investigate the association of HBsAg positive (p < 0.001), abnormal liver function (p < 0.001), and their interaction (p = 0.302) on the onset of GDM. This result showed that HBsAg is an independent factor of GDM pathogenesis, regardless of liver function status.Conclusion: HBsAg and liver function are independent factors in GDM. Therefore, regarding these results, while clinicians consider the traditional risk factors of GDM, it is necessary to consider the HBV infection status. Conducting a dietary intervention for HBsAg-positive pregnant women at the early stage of pregnancy is conducive to reducing the adverse effects.

Tibetan and Mongolian Committee Staff Number Statistics Table

Months, departure time............................

To adapt to the complex and dark underwater environment, dolphins have evolved the ability to use sound for sensing their surroundings, navigation, foraging, and communication. Dolphin vocalizations primarily consist of two main types: pulsed signals and frequency-modulated communication whistles. Pulsed signals, including echolocation clicks, burst pulses, and buzzes, are characterized by high-frequency, broadband properties and are typically produced in trains. Whistles are narrow-band signals with modulated frequencies and are predominantly used for communication. Dolphin vocalizations are complex and dynamic yet critical for their survival. Analysis of dolphin vocalizations provides valuable insights into their behaviors and population status.

Acoustic data in this dataset were collected using an autonomous underwater recorder in Xiamen Bay, China, which is inhabited by a small population of Indo-Pacific humpback dolphins. 

Original Audio File.zip is a compressed file containing the original recordings, including 35 WAV audio files sequentially named according to the recording time (e.g., Ori_Recording_01.wav, Ori_Recording_02.wav, Ori_Recording_03.wav).

Whistles.zip comprises 143 identified whistle signals saved as individual sequentially-named WAV files (Whistle_001, Whistle_002, Whistle_003, etc), accompanied by PNG image files illustrating their respective spectrograms. Whistle signals were mannually extracted from the original recordings, of which 100 were identified as high-quality based on visual inspection. Each whistle signal was visually categorized into one of six tonal types. Subsequently, 13 key acoustic parameters were manually measured from the spectrograms of the high-quality whistles. These 13 parameters were: duration, start frequency, end frequency, frequency change, absolute frequency gradient, minimum frequency, maximum frequency, delta frequency, number of extrema, number of inflection points, number of saddle points, number of breaks, and presence/absence of harmonics. Detailed information was presented in the Excel spreadsheet named "Whistles.xlsx".

Click Trains.zip, Burst Pulse Trains.zip, and Buzz Trains.zip contain WAV audio files corresponding to the detected click trains, burst pulse trains, and buzz trains, respectively. Pulse signals were detected and classified following the published methodologies and procedures. After manual verification, a total of 897 pulse trains were included in the dataset, comprising 832 echolocation click trains, 15 burst pulse trains, and 50 buzz trains. Each pulse train, along with its constituent individual pulses, were saved as separate WAV files in a separate subfolder. These subfolders were sequentially named according to the chronological order of the pulse train (e.g., PulseTrain_001, PulseTrain_002, PulseTrain_003). For each pulse train, six acoustic parameters were measured for the pulsed signals: (a) inter-pulse-interval (IPI), (b) sound pressure level (SPLpp), (c) duration, (d) peak frequency (Fpeak), (e) -3dB bandwidth (-3dBBW), and (f) -10dB bandwidth (-10dBBW). Values of these parameters were presented in a tab-separated TXT file named “PulseParameters.txt”, which was included in the subfolder.

Results.xlsx is an Excel file containing detailed information on the original acoustic recordings and quantitative data on whistles and pulsed signals detected within each original acoustic file:

1. recording dates when the original acoustic data were collected;
2. Geographic coordinates (latitude and longitude) of the recording locations;
3. start and end times of each original acoustic file;
4. number of pulse trains detected within each original acoustic file;
5. number of identified whistles, including counts of high-quality whistles (Grade 2 and 3) for each original acoustic file;

6. additional information about the recordings, including seasons, tides, water depth, dolphin group size, and behavioral state of dolphins.

   Whistles.xlsx is an Excel file that provides detailed descriptions of each whistle signal:

7. the original acoustic file from which the whistle signal was extracted;

8. start and end times of each whistle signal within the original acoustic file, relative to the file’s start, expressed in seconds;

9. contour type classification for each whistle signal (constant, upsweep, downsweep, concave, convex, and sinusoidal);

10. quality grading for each whistle (Grade 1, Grade 2, and Grade 3);

11. acoustic parameters of each whistle signal: Duration, Start Frequency, End Frequency, Frequency Change, Absolute Frequency Gradient, Minimum Frequency, Maximum Frequency, Delta Frequency, Number of Extrema, Number of Inflection Points, Number of Saddle Points, Number of Breaks, and Presence/Absence of Harmonics.

    ClickTrains.xlsx, BurstPulseTrains.xlsx, and BuzzTrains.xlsx are Excel files containing detailed information on each identified pulse train type:

12. serial number of pulse trains denoting their order of appearance within original recordings;

13. original acoustic file from which each pulse train was extracted;

14. start and end times of each pulse train within the original acoustic file, relative to the file’s start, expressed in seconds;

15. lengths of each pulse train (Length);

16. number of pulsed signals within each pulse train (NumP);

17. mean values of acoustic parameters of the pulsed signals within each pulse train: mean SNR (Mean_SNR), mean IPI (Mean_IPI), mean sound pressure level (Mean_SPLpp), mean duration (Mean_Duration), mean peak frequency (Mean_Fpeak), mean -3dB bandwidth (Mean_-3dBBW), and mean -10dB bandwidth (Mean_-10dB BW).

    Further information is provided in the accompanying Data Descriptor published in Scientific Data.

The In-Home Care & Other Household Services industry in China has not developed very well in the past few years. Due to the COVID-19 pandemic, many services provided by the industry cannot be implemented, resulting in a decrease in industry revenue. Industry revenue is expected to decrease at an annualized rate of 4.7% over the five years through 2024 to $7.1 billion. The continuous growth of China's population and the trend of aging have led to a great demand for industries in society, and currently the industry has not formed a good supply-demand relationship.Industry profit is expected to total 3.7% of revenue in 2024. Total wages are expected to decrease by an annualized 3.8% over the five years through 2024 to $3.2 billion. The technological barriers in the industry are low, resulting in a large workforce and low profits. The industry is typically labor-intensive, with wages accounting for 45.8% of industry revenue in 2024. There are large number of small-size companies and self-employed practitioners in the industry. Industry concentration is very low. The largest company in the industry represents only 0.3% of industry revenue in 2024. Most participants operate in local markets only, and just a small number of franchise chain companies are able to cover multiple regions.The industry is forecast to continue growing strongly in the next five years, benefiting from Chinese residents' upgrading consumption, the third-child policies implemented in 2022, and as China becomes an aging society. Industry revenue is expected to increase an annualized 1.5% over the five years through 2029 to total $7.6 billion. Market shares are expected to increase towards franchise chain companies, which are encouraged by the Government. The industry's concentration level will rise, but still stay low. Customers will likely prefer high-end services, due to their increasing purchasing power. Furthermore, O2O platforms are projected to become a major channel for both consumers and industry practitioners in the industry.

Population: Usual Residence: Urbanization Rate: Fujian: Xiamen data was reported at 90.810 % in 2023. This records an increase from the previous number of 90.190 % for 2022. Population: Usual Residence: Urbanization Rate: Fujian: Xiamen data is updated yearly, averaging 89.050 % from Dec 2010 (Median) to 2023, with 14 observations. The data reached an all-time high of 90.810 % in 2023 and a record low of 88.300 % in 2010. Population: Usual Residence: Urbanization Rate: Fujian: Xiamen data remains active status in CEIC and is reported by Xiamen Municipal Bureau of Statistics. The data is categorized under China Premium Database’s Socio-Demographic – Table CN.GE: Population: Prefecture Level City: Urbanization Rate.