This dataset is a collection of more than 4200 China related news articles published since January 2020 on USA based news website CNN.com

News articles come with date they were published on, enabling for temporal data analysis📊

Discover prevalent discourses within China year by year from the view of CNN.com 👀

Comprehensive dataset containing 3 verified News service businesses in Beijing, China with complete contact information, ratings, reviews, and location data.

Dataset

This dataset was created by junislee

Contents

Comprehensive dataset containing 11 verified News service businesses in Zhejiang, China with complete contact information, ratings, reviews, and location data.

China AD Ind: Business Revenue: Newspaper Agency: Service Industry data was reported at 4,541.750 RMB mn in 2012. This records an increase from the previous number of 2,015.800 RMB mn for 2011. China AD Ind: Business Revenue: Newspaper Agency: Service Industry data is updated yearly, averaging 2,015.800 RMB mn from Dec 2004 (Median) to 2012, with 5 observations. The data reached an all-time high of 4,541.750 RMB mn in 2012 and a record low of 688.042 RMB mn in 2004. China AD Ind: Business Revenue: Newspaper Agency: Service Industry data remains active status in CEIC and is reported by State Administration for Market Regulation. The data is categorized under China Premium Database’s Advertising Sector – Table CN.RDA: Business Revenue: By Business Nature and Product.

The MNI China business sentiment index increased to 55.9 in December of 2016 from 53.1 in November. The reading pointed to the highest figure since August 2014, as output rose the most since September 2015 while Future Expectations Indicator went up to the highest in three months. This is a positive end to a choppy year for the Chinese business environment, said Andy Wu, Senior Economist of MNI Indicators. This dataset provides - China Mni Business Sentiment- actual values, historical data, forecast, chart, statistics, economic calendar and news.

Techsalerator offers an extensive dataset of End-of-Day Pricing Data for all 2037 companies listed on the Shanghai Stock Exchange (XSHG) in China. This dataset includes the closing prices of equities (stocks), bonds, and indices at the end of each trading session. End-of-day prices are vital pieces of market data that are widely used by investors, traders, and financial institutions to monitor the performance and value of these assets over time.

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Top 5 used data fields in the End-of-Day Pricing Dataset for China:

1. Equity Closing Price :The closing price of individual company stocks at the end of the trading day.This field provides insights into the final price at which market participants were willing to buy or sell shares of a specific company.

2. Bond Closing Price: The closing price of various fixed-income securities, including government bonds, corporate bonds, and municipal bonds. Bond investors use this field to assess the current market value of their bond holdings.

3. Index Closing Price: The closing value of market indices, such as the Botswana stock market index, at the end of the trading day. These indices track the overall market performance and direction.

4. Equity Ticker Symbol: The unique symbol used to identify individual company stocks. Ticker symbols facilitate efficient trading and data retrieval.

5. Date of Closing Price: The specific trading day for which the closing price is provided. This date is essential for historical analysis and trend monitoring.

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Top 5 financial instruments with End-of-Day Pricing Data in China:

Shanghai Stock Exchange (SSE) Domestic Company Index: The main index that tracks the performance of domestic companies listed on the Shanghai Stock Exchange. This index provides an overview of the overall market performance in China.

Shenzhen Stock Exchange (SZSE) Domestic Company Index: The index that tracks the performance of domestic companies listed on the Shenzhen Stock Exchange. This index reflects the performance of companies listed on the technology-focused exchange.

Company A: A prominent Chinese company with diversified operations across various sectors, such as technology, finance, or manufacturing. This company's stock is widely traded on either the Shanghai Stock Exchange or the Shenzhen Stock Exchange.

Company B: A leading financial institution in China, offering banking, insurance, or investment services. This company's stock is actively traded on one of the major stock exchanges in China.

Company C: A major player in the Chinese agriculture sector or other industries, involved in the production and distribution of goods or services. This company's stock is listed and actively traded on either the Shanghai Stock Exchange or the Shenzhen Stock Exchange.

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If you're interested in accessing Techsalerator's End-of-Day Pricing Data for China, please contact info@techsalerator.com with your specific requirements. Techsalerator will provide you with a customized quote based on the number of data fields and records you need. The dataset can be delivered within 24 hours, and ongoing access options can be discussed if needed.

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Data fields included:

Equity Ticker Symbol Equity Closing Price Bond Ticker Symbol Bond Closing Price Index Ticker Symbol Index Closing Price Date of Closing Price Equity Name Equity Volume Equity High Price Equity Low Price Equity Open Price Bond Name Bond Coupon Rate Bond Maturity Index Name Index Change Index Percent Change Exchange Currency Total Market Capitalization Dividend Yield Price-to-Earnings Ratio (P/E) ‍

Q&A:

1. How much does the End-of-Day Pricing Data cost in China ?

The cost of this dataset may vary depending on factors such as the number of data fields, the frequency of updates, and the total records count. For precise pricing details, it is recommended to directly consult with a Techsalerator Data specialist.

1. How complete is the End-of-Day Pricing Data coverage in China?

Techsalerator provides comprehensive coverage of End-of-Day Pricing Data for various financial instruments, including equities, bonds, and indices. Thedataset encompasses major companies and securities traded on China exchanges.

1. How does Techsalerator collect this data?

Techsalerator collects End-of-Day Pricing Data from reliable sources, including stock exchanges, financial news outlets, and other market data providers. Data is carefully curated to ensure accuracy and reliability.

1. Can I select specific financial instruments or multiple countries with Techsalerator's End-of-Day Pricing Data?

Techsalerator offers the flexibility to select specific financial instruments, such as equities, bonds, or indices, depending on your needs. While the dataset focuses on Botswana, Techsalerator also provides data for other countries and international markets.

1. How do I pay for this dataset?

T...

China AD Ind: Business Revenue: Newspaper Agency: Finance and Insurance data was reported at 1,300.866 RMB mn in 2019. This records a decrease from the previous number of 1,509.825 RMB mn for 2018. China AD Ind: Business Revenue: Newspaper Agency: Finance and Insurance data is updated yearly, averaging 1,873.745 RMB mn from Dec 2010 (Median) to 2019, with 10 observations. The data reached an all-time high of 2,456.880 RMB mn in 2015 and a record low of 1,141.070 RMB mn in 2010. China AD Ind: Business Revenue: Newspaper Agency: Finance and Insurance data remains active status in CEIC and is reported by State Administration for Market Regulation. The data is categorized under China Premium Database’s Advertising Sector – Table CN.RDA: Business Revenue: By Business Nature and Product.

China AD Ind: Business Revenue: Newspaper Agency: Automobile data was reported at 2,417.343 RMB mn in 2019. This records a decrease from the previous number of 2,945.197 RMB mn for 2018. China AD Ind: Business Revenue: Newspaper Agency: Automobile data is updated yearly, averaging 3,109.475 RMB mn from Dec 2000 (Median) to 2019, with 14 observations. The data reached an all-time high of 6,551.570 RMB mn in 2012 and a record low of 528.344 RMB mn in 2000. China AD Ind: Business Revenue: Newspaper Agency: Automobile data remains active status in CEIC and is reported by State Administration for Market Regulation. The data is categorized under China Premium Database’s Advertising Sector – Table CN.RDA: Business Revenue: By Business Nature and Product.

China AD Ind: Business Revenue: Newspaper Agency: Other data was reported at 14,865.648 RMB mn in 2019. This records an increase from the previous number of 4,508.685 RMB mn for 2018. China AD Ind: Business Revenue: Newspaper Agency: Other data is updated yearly, averaging 8,696.804 RMB mn from Dec 2000 (Median) to 2019, with 14 observations. The data reached an all-time high of 42,765.118 RMB mn in 2000 and a record low of 4,232.690 RMB mn in 2001. China AD Ind: Business Revenue: Newspaper Agency: Other data remains active status in CEIC and is reported by State Administration for Market Regulation. The data is categorized under China Premium Database’s Advertising Sector – Table CN.RDA: Business Revenue: By Business Nature and Product.

Business Confidence in China increased to 49.20 points in November from 49 points in October of 2025. This dataset provides - China Business Confidence - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Comprehensive dataset containing 8 verified News service businesses in Shanghai, China with complete contact information, ratings, reviews, and location data.

Techsalerator’s News Event Data in Asia offers a detailed and expansive dataset designed to provide businesses, analysts, journalists, and researchers with comprehensive insights into significant news events across the Asian continent. This dataset captures and categorizes major events reported from a diverse range of news sources, including press releases, industry news sites, blogs, and PR platforms, offering valuable perspectives on regional developments, economic shifts, political changes, and cultural occurrences.

Key Features of the Dataset: Extensive Coverage:

The dataset aggregates news events from a wide range of sources such as company press releases, industry-specific news outlets, blogs, PR sites, and traditional media. This broad coverage ensures a diverse array of information from multiple reporting channels. Categorization of Events:

News events are categorized into various types including business and economic updates, political developments, technological advancements, legal and regulatory changes, and cultural events. This categorization helps users quickly find and analyze information relevant to their interests or sectors. Real-Time Updates:

The dataset is updated regularly to include the most current events, ensuring users have access to the latest news and can stay informed about recent developments as they happen. Geographic Segmentation:

Events are tagged with their respective countries and regions within Asia. This geographic segmentation allows users to filter and analyze news events based on specific locations, facilitating targeted research and analysis. Event Details:

Each event entry includes comprehensive details such as the date of occurrence, source of the news, a description of the event, and relevant keywords. This thorough detailing helps users understand the context and significance of each event. Historical Data:

The dataset includes historical news event data, enabling users to track trends and perform comparative analysis over time. This feature supports longitudinal studies and provides insights into the evolution of news events. Advanced Search and Filter Options:

Users can search and filter news events based on criteria such as date range, event type, location, and keywords. This functionality allows for precise and efficient retrieval of relevant information. Asian Countries and Territories Covered: Central Asia: Kazakhstan Kyrgyzstan Tajikistan Turkmenistan Uzbekistan East Asia: China Hong Kong (Special Administrative Region of China) Japan Mongolia North Korea South Korea Taiwan South Asia: Afghanistan Bangladesh Bhutan India Maldives Nepal Pakistan Sri Lanka Southeast Asia: Brunei Cambodia East Timor (Timor-Leste) Indonesia Laos Malaysia Myanmar (Burma) Philippines Singapore Thailand Vietnam Western Asia (Middle East): Armenia Azerbaijan Bahrain Cyprus Georgia Iraq Israel Jordan Kuwait Lebanon Oman Palestine Qatar Saudi Arabia Syria Turkey (partly in Europe, but often included in Asia contextually) United Arab Emirates Yemen Benefits of the Dataset: Strategic Insights: Businesses and analysts can use the dataset to gain insights into significant regional developments, economic conditions, and political changes, aiding in strategic decision-making and market analysis. Market and Industry Trends: The dataset provides valuable information on industry-specific trends and events, helping users understand market dynamics and identify emerging opportunities. Media and PR Monitoring: Journalists and PR professionals can track relevant news across Asia, enabling them to monitor media coverage, identify emerging stories, and manage public relations efforts effectively. Academic and Research Use: Researchers can utilize the dataset for longitudinal studies, trend analysis, and academic research on various topics related to Asian news and events. Techsalerator’s News Event Data in Asia is a crucial resource for accessing and analyzing significant news events across the continent. By offering detailed, categorized, and up-to-date information, it supports effective decision-making, research, and media monitoring across diverse sectors.

Comprehensive dataset containing 2 verified News service businesses in Xinjiang, China with complete contact information, ratings, reviews, and location data.

China AD Ind: Business Revenue: Newspaper Agency: Information Industry data was reported at 886.793 RMB mn in 2019. This records a decrease from the previous number of 1,098.559 RMB mn for 2018. China AD Ind: Business Revenue: Newspaper Agency: Information Industry data is updated yearly, averaging 1,293.360 RMB mn from Dec 2009 (Median) to 2019, with 11 observations. The data reached an all-time high of 1,716.100 RMB mn in 2015 and a record low of 886.793 RMB mn in 2019. China AD Ind: Business Revenue: Newspaper Agency: Information Industry data remains active status in CEIC and is reported by State Administration for Market Regulation. The data is categorized under China Premium Database’s Advertising Sector – Table CN.RDA: Business Revenue: By Business Nature and Product.

Comprehensive dataset containing 3 verified News service businesses in Hubei, China with complete contact information, ratings, reviews, and location data.

The statistic shows the financial news share in newspaper retail market in China from 2013 to 2015. As of 2015, financial newspapers accounted for around ***** percent of China's newspaper retail market.

China's main stock market index, the SHANGHAI, fell to 3898 points on December 2, 2025, losing 0.42% from the previous session. Over the past month, the index has declined 1.98%, though it remains 15.36% higher than a year ago, 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 December of 2025.

China AD Ind: Business Revenue: Newspaper Agency: Tourism data was reported at 524.134 RMB mn in 2019. This records a decrease from the previous number of 720.673 RMB mn for 2018. China AD Ind: Business Revenue: Newspaper Agency: Tourism data is updated yearly, averaging 983.850 RMB mn from Dec 2000 (Median) to 2019, with 9 observations. The data reached an all-time high of 1,459.880 RMB mn in 2014 and a record low of 435.594 RMB mn in 2000. China AD Ind: Business Revenue: Newspaper Agency: Tourism data remains active status in CEIC and is reported by State Administration for Market Regulation. The data is categorized under China Premium Database’s Advertising Sector – Table CN.RDA: Business Revenue: By Business Nature and Product.

Comprehensive dataset containing 2 verified News service businesses in Liaoning, China with complete contact information, ratings, reviews, and location data.