China's main stock market index, the SHANGHAI, fell to 3560 points on August 1, 2025, losing 0.37% from the previous session. Over the past month, the index has climbed 3.04% and is up 22.53% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks this benchmark index from China. China Shanghai Composite Stock Market Index - values, historical data, forecasts and news - updated on August of 2025.

As of March 2025, the SSE Composite Index had closed at 3,335.75 points. The index reflects the performance of all stocks traded on the Shanghai Stock Exchange, including both boards, the main board, and the Star market. SSE still number one In the greater Chinese region, the stock exchange in Shanghai was the largest, beating the bourses in Shenzhen, Hong Kong, and Taiwan. In 2023, the Shanghai Stock Exchange recorded a market capitalization of over 6.5 trillion. Not only market capitalization was a unique attribute, but the Shanghai Stock Exchange was also home to the most valuable stock in mainland China, which was the baijiu producer Moutai Kweichow. Limited access Despite its size, the exchange in Shanghai only grants limited access to overseas investors. The bourse listed A-shares and B-shares. While A-shares are denominated in yuan and almost exclusively available for domestic traders, the prices of B-shares are in U.S. dollars and available for overseas investors as well. In addition, the bourse offers access to foreign investors through a trading accreditation which is supervised by the Chinese authorities. However, these tight controls are the reason why Hong Kong, despite its lower relative market capitalization, remains an important gateway to capital for mainland Chinese companies.

Key information about China Shanghai Shenzhen 300

• China Shanghai Shenzhen 300 closed at 3,890.1 points in Feb 2025, compared with 3,817.1 points at the previous month end
• China Equity Market Index: Month End: Shanghai Shenzhen 300 data is updated monthly, available from Apr 2005 to Feb 2025, with an average number of 3,388.0 points
• The data reached an all-time high of 5,688.5 points in Oct 2007 and a record low of 856.0 points in May 2005

• In the latest reports, Shanghai Stock Exchange recorded a daily P/E ratio of 14.2 in Mar 2025

Prices for China Stock Market Index (CH50) including live quotes, historical charts and news. China Stock Market Index (CH50) was last updated by Trading Economics this August 2 of 2025.

Overview: This dataset provides a comprehensive list of U.S. universities, as identified in current directories, alongside their corresponding names in Chinese. The Chinese names are sourced from 中国留学生大辞典, the CUSDOS dataset, and the MGZF_1944 dataset. However, there is no systematic one-to-one correspondence between the Chinese list and the full directory. Additionally, approximately 25 university names in Chinese remain unidentified. Each university entry includes its city and state, as well as precise geocoordinates (latitude and longitude).

Structure: The dataset consists of the following key columns:

• School_Name_ZhT: The Chinese name of the university (when available).

• School_Name: The English name of the university.

• City: The city where the university is located.

• State: The U.S. state where the university is located.

• Latitude (lat): The geographic latitude coordinate of the university.

• Longitude (lng): The geographic longitude coordinate of the university.

• Univ_Py: The pinyin transliteration of the Chinese university name.

• Country: The country where the university is located (all entries are in the United States).

• Country_ZhT: The country name in Chinese (美國).

• Notes: Additional remarks about the university entry, when applicable.

Purpose & Applications:

• Geospatial Analysis: Enables spatial mapping of U.S. universities for research purposes.

• Historical Data Matching: Facilitates linking historical Chinese records to modern university names.

• Multilingual Standardization: Supports bilingual academic classification and terminology mapping.

• Database Integration: Useful for structuring educational institution datasets in academic and archival research.

Data Quality Considerations:

• Some universities have multiple English names due to variations in Chinese representations.

• Approximately 25 Chinese university names remain unidentified in the dataset.

• The latitude and longitude values are included but should be verified for accuracy in geospatial applications.

• Some entries contain formatting issues due to delimiter inconsistencies and should be processed accordingly.

Digitized index of all placenames from the 8 volumes of Tan Qixiang "Historical Atlas of China." Each name is cross-referenced with the volume number and page number where the name occurs.

Hong Kong's main stock market index, the HK50, fell to 24508 points on August 1, 2025, losing 1.07% from the previous session. Over the past month, the index has climbed 1.18% and is up 44.63% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks this benchmark index from Hong Kong. Hong Kong Stock Market Index (HK50) - values, historical data, forecasts and news - updated on August of 2025.

In December 2023, the SME Price Index on the Shenzhen Stock Exchange reached around ***** index points which was the historic maximum of the index. The SME Price Index contained the one hundred largest companies traded on the SME Board of the Stock Exchange. As the name suggests, the companies listed on the SME Board are small and medium enterprises that had a consolidated market position and stable profitability. Compared to the ChiNext Board, the SME Board was much less volatile and had stricter listing requirements.

Land Transaction: Floor Price: Fuzhou data was reported at 196.520 RMB/sq m in 27 Jun 2021. This records a decrease from the previous number of 5,791.280 RMB/sq m for 23 May 2021. Land Transaction: Floor Price: Fuzhou data is updated daily, averaging 8,694.815 RMB/sq m from Feb 2016 to 27 Jun 2021, with 76 observations. The data reached an all-time high of 42,203.780 RMB/sq m in 09 Sep 2018 and a record low of 171.620 RMB/sq m in 23 Aug 2020. Land Transaction: Floor Price: Fuzhou data remains active status in CEIC and is reported by China Index Academy. The data is categorized under High Frequency Database’s Real Estates – Table CN.RKT: China Index Academy (Soufun): Land Transaction Price: Weekly. contact us
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In 2025, stock markets in the United States accounted for roughly ** percent of world stocks. The next largest country by stock market share was China, followed by the European Union as a whole. The New York Stock Exchange (NYSE) and the NASDAQ are the largest stock exchange operators worldwide. What is a stock exchange? The first modern publicly traded company was the Dutch East Industry Company, which sold shares to the general public to fund expeditions to Asia. Since then, groups of companies have formed exchanges in which brokers and dealers can come together and make transactions in one space. Stock market indices group companies trading on a given exchange, giving an idea of how they evolve in real time. Appeal of stock ownership Over half of adults in the United States are investing money in the stock market. Stocks are an attractive investment because the possible return is higher than offered by other financial instruments.

These three files are the index files for the three types of data extracted from the BDRC:

• Index of persons

• Index of institutions

• Index of Locations

Each file comes with the full list of names in theri original denomination (Wade & Giles transliteration or English). Whenever possible, we have added the Chinese characters and the pinyin transliteration for persons. Institutions are generally provided in English only.

Land Transaction: Residential: Floor Price: Taiyuan data was reported at 3,068.450 RMB/sq m in 01 Aug 2021. This records a decrease from the previous number of 8,585.900 RMB/sq m for 04 Jul 2021. Land Transaction: Residential: Floor Price: Taiyuan data is updated daily, averaging 2,128.145 RMB/sq m from Jan 2016 to 01 Aug 2021, with 116 observations. The data reached an all-time high of 8,585.900 RMB/sq m in 04 Jul 2021 and a record low of 516.110 RMB/sq m in 29 Dec 2019. Land Transaction: Residential: Floor Price: Taiyuan data remains active status in CEIC and is reported by China Index Academy. The data is categorized under High Frequency Database’s Real Estates – Table CN.RKT: China Index Academy (Soufun): Land Transaction Price: Residential: Weekly. contact us
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Baidu Search Index is a big data analytics tool developed by Baidu to track changes in keyword search popularity within its search engine. By analyzing trends in the Baidu Search Index for specific keywords, users can effectively monitor public interest in topics, companies, or brands.

As an ecosystem partner of Baidu Index, Datago has direct access to keyword search index data from Baidu's database, leveraging this information to build the BSIA-Consumer. This database encompasses popular brands that are actively searched by Chinese consumers, along with their commonly used names. By tracking Baidu Index search trends for these keywords, Datago precisely maps them to their corresponding publicly listed stocks.

The database covers over 1,100 consumer stocks and 3,000+ brand keywords across China, the United States, Europe, and Japan, with a particular focus on popular sectors like luxury goods and vehicles. Through its analysis of Chinese consumer search interest, this database offers investors a unique perspective on market sentiment, consumer preferences, and brand influence, including:

• Brand Influence Tracking – By leveraging Baidu Search Index data, investors can assess the level of consumer interest in various brands, helping to evaluate their influence and trends within the Chinese market.

• Consumer Stock Mapping – BSIA-consumer provides an accurate linkage between brand keywords and their associated consumer stocks, enabling investor analysis driven by consumer interest.

• Coverage of Popular Consumer Goods – BSIA-consumer focuses specifically on trending sectors like luxury goods and vehicles, offering valuable insights into these industries.

• Coverage: 1000+ consumer stocks

• History: 2016-01-01

• Update Frequency: Daily

Land Transaction: Residential: Floor Price: Tianjin data was reported at 9,206.580 RMB/sq m in 16 May 2021. This records an increase from the previous number of 5,047.230 RMB/sq m for 28 Mar 2021. Land Transaction: Residential: Floor Price: Tianjin data is updated daily, averaging 6,914.620 RMB/sq m from Jan 2016 to 16 May 2021, with 172 observations. The data reached an all-time high of 31,928.930 RMB/sq m in 30 Oct 2016 and a record low of 2,121.170 RMB/sq m in 18 Sep 2016. Land Transaction: Residential: Floor Price: Tianjin data remains active status in CEIC and is reported by China Index Academy. The data is categorized under High Frequency Database’s Real Estates – Table CN.RKT: China Index Academy (Soufun): Land Transaction Price: Residential: Weekly. contact us
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Beijing stock exchange focuses on equity trading and plans to expand its asset class to convertible bond in the near future.

I. Overview The long-term sequence China Vegetation Index dataset is mainly for the normalized vegetation index (NDVI), based on four bands synthesized every 10 days from 1 April 1998 to 31 December 2011 with a spatial resolution of 1 km. Spectral reflectance and 10-day maximized NDVI dataset. Ⅱ. Data processing description The VEGETATION sensor was launched by SPOT-4 in March 1998, and has received SP0T VGT data for global vegetation coverage observation since April 1998. It has a very complete and efficient image ground processing mechanism system. The VEGETATION data is mainly received by the Kiruna ground station in Sweden. The image quality monitoring center in Toulouse, France is responsible for image quality and provides related parameters (such as calibration coefficients). Finally, the image processing and archiving center of VITO Institute in Belgium Global VEGETATION data archiving and user orders. Among them, VGT-P (prototype) data products mainly provide scientific researchers with high-quality physical quantity prototype data in order to facilitate their research and development of algorithms and application models. The data undergoes strict systematic error correction and resampling into a longitude and latitude network projection, the pixel resolution is lkm, and the pixel brightness value is the reflectivity of the ground features on the top layer of the atmosphere. In addition to providing four bands of raw data, relevant auxiliary parameters such as atmospheric conditions, system information (solar zenith angle, azimuth, field of view, and reception time) and terrain data are also provided according to user needs. VGT-S (synthesis) products provide atmospheric-corrected surface reflectance data, and use multi-band synthesis techniques to obtain a normalized vegetation index (w) data set with lkm resolution. VGI-S products include the spectral reflectance and NDVI data set (s1) of four bands synthesized daily, the spectral reflectance of four bands synthesized every 10 days, and the maximum NDVI data set (S10) every 10 days to reduce cloud and The impact of BRDF, while S10 was also resampled into 4km resolution (S10.4) and 8km resolution (S10.8) datasets. VGT-S products are widely used for their high time resolution. This data set contains the spectral reflectance of four bands synthesized every 10 days and the 10-day maximized NDVI data set (S10). The pre-processing of SPOT source data includes atmospheric correction, radiation correction, and geometric correction. NDVI data with a maximum of 10 days of synthesis is generated, and the values ​​of -1 to -0.1 are set to -0.1, and then formula YDN = (JNDVI +0.1) /0.004 Convert to a YDN value from 0 to 250. Ⅲ. Data content description The long-term sequence China Vegetation Index dataset is mainly for the normalized vegetation index (NDVI), based on four bands synthesized every 10 days from 1 April 1998 to 31 December 2011 with a spatial resolution of 1 km. Spectral reflectance and 10-day maximized NDVI dataset. The SPOT-VEGETATION-NDVI data set contains .zip compressed files with time resolution from April 1, 1998 to December 31, 2011. After decompression, it is an ESRI-GRID file with a scene every 10 days. The SPO-VEGETATION-NDVI data set naming rules are: v-yymmdd, where v is the abbreviation of vegetation, yymmdd represents the date of the file, and is the main identifier that distinguishes other files. Ⅳ. Data usage description An important feature of the Vegetation Index product is that it can be converted into leaf crown biophysical parameters. Vegetation index (VI) also plays an "intermediate variable" in the acquisition of vegetation biophysical parameters (such as foliar index LAI, green shade, fAPAR, etc.). The relationship between vegetation indices and vegetation biophysical parameters is currently being studied using globally representative ground, aircraft and satellite observation datasets. These data can be used to evaluate the performance of the VI algorithm before satellite launch, and also provide the conversion coefficient between the vegetation index product and the biophysical characteristics of the leaf crown. The use of biophysical data is part of the Vegetation Index Verification Program. Vegetation index products will play a major role in several Earth Observation System (EOS) studies and are also part of global and regional biosphere model products in recent years.

Browse LSEG's Shanghai Stock Exchange (SSE) Data, and view multiple asset classes including equities, bonds, indices, funds and stock options.

Names of 4478 persons from Wuzhou/Jinhua prefecture in the China Biographical Database as of 2019-07. Includes names in Chinese and romanization, address, permanent identifier, and index year. Used for generating queries relating to kinship and social associations.

Cluster analysis and naming results of physiological function indexes in freestyle skiing aerials athletes.

Cluster analysis and naming results of body form indexes in freestyle skiing aerials athletes.