Japan Copper Products: Production: Total data was reported at 30,525.000 Ton in Aug 2018. This records a decrease from the previous number of 36,658.000 Ton for Jul 2018. Japan Copper Products: Production: Total data is updated monthly, averaging 39,492.000 Ton from Jan 1989 (Median) to Aug 2018, with 356 observations. The data reached an all-time high of 50,325.000 Ton in Mar 2000 and a record low of 17,713.000 Ton in Mar 2009. Japan Copper Products: Production: Total data remains active status in CEIC and is reported by Ministry of Economy, Trade and Industry. The data is categorized under Global Database’s Japan – Table JP.B065: Production: Elongated Copper Products.

The Gross Domestic Product (GDP) in Japan was worth 4026.21 billion US dollars in 2024, according to official data from the World Bank. The GDP value of Japan represents 3.79 percent of the world economy. This dataset provides - Japan GDP - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Historical crop production database compiled from the database provided by Ministry of Agriculture, Forestry and Fisheries. For the details of data provision and term of use, please contact us by e-mail.

Success.ai’s Import Export Data for Import, Export & Trade Professionals in Asia delivers a comprehensive dataset tailored for businesses aiming to connect with key players in Asia’s dynamic trade industry. Covering professionals involved in import/export operations, international logistics, and supply chain management, this dataset provides verified contact details, firmographic insights, and actionable professional data.

With access to over 700 million verified global profiles and 70 million business datasets, Success.ai ensures your outreach, market research, and trade strategies are powered by accurate, continuously updated, and AI-validated data. Supported by our Best Price Guarantee, this solution is essential for navigating the complexities of global trade in Asia.

Why Choose Success.ai’s Import Export Data?

1. Verified Contact Data for Effective Engagement

   • Access verified work emails, phone numbers, and LinkedIn profiles of trade professionals, logistics experts, and supply chain managers.
   • AI-driven validation ensures 99% accuracy, reducing data gaps and improving communication efficiency.

2. Comprehensive Coverage of Asian Trade Markets

   • Includes profiles of professionals from key Asian markets such as China, India, Japan, South Korea, and Southeast Asia.
   • Gain insights into regional trade trends, import/export regulations, and supply chain dynamics.

3. Continuously Updated Datasets

   • Real-time updates capture changes in leadership roles, trade activities, and market expansions.
   • Stay aligned with evolving market conditions and emerging trade opportunities.

4. Ethical and Compliant

   • Fully adheres to GDPR, CCPA, and other global privacy regulations, ensuring responsible and lawful data usage for all business initiatives.

Data Highlights:

• 700M+ Verified Global Profiles: Connect with import/export professionals, logistics managers, and trade consultants across Asia.
• 70M Business Profiles: Access detailed firmographic data, including company sizes, revenue ranges, and geographic footprints.
• Contact Details: Gain verified work emails, phone numbers, and business locations for precise targeting.
• Industry Trends: Understand key import/export opportunities, supply chain challenges, and market dynamics in Asia.

Key Features of the Dataset:

1. Professional Profiles in Import/Export and Logistics

   • Identify and engage with trade professionals managing cross-border operations, customs compliance, and supply chain efficiency.
   • Target individuals responsible for vendor selection, international partnerships, and trade negotiations.

2. Firmographic and Geographic Insights

   • Access data on company structures, trade volumes, and operational hubs in key Asian markets.
   • Pinpoint high-value prospects in established and emerging trade routes for strategic engagement.

3. Advanced Filters for Precision Campaigns

   • Filter professionals by industry focus (manufacturing, wholesale, retail), geographic location, or revenue size.
   • Tailor campaigns to address specific trade needs such as market entry, cost optimization, or regulatory compliance.

4. AI-Driven Enrichment

   • Profiles enriched with actionable data allow for personalized messaging, highlight unique value propositions, and improve engagement outcomes with trade professionals.

Strategic Use Cases:

1. Sales and Business Development

   • Present trade services, logistics solutions, or supply chain optimization tools to import/export managers and trade consultants.
   • Build relationships with procurement teams and logistics managers seeking reliable partners and innovative solutions.

2. Market Research and Competitive Analysis

   • Analyze trends in Asia’s import/export landscape, including key trade routes, regulatory changes, and logistics challenges.
   • Benchmark against competitors to identify growth opportunities, underserved markets, and emerging needs.

3. Partnership Development and Trade Collaboration

   • Engage with businesses seeking partnerships for supply chain management, customs compliance, or international expansion.
   • Foster alliances that enhance efficiency, reduce costs, and drive growth in the import/export sector.

4. Recruitment and Talent Acquisition

   • Target HR professionals and hiring managers recruiting for roles in international trade, logistics, or operations.
   • Provide workforce optimization platforms or training solutions tailored to the trade and logistics industry.

Why Choose Success.ai?

1. Best Price Guarantee

   • Access premium-quality import/export data at competitive prices, ensuring maximum ROI for your marketing, sales, and trade initiatives.

2. Seamless Integration

   • Integrate verified trade data into CRM systems, analytics platforms, or marketing tools via APIs or downloadable formats, simplifying workflows and ...

1) Data Introduction • The Hepatitis C EHRs from Japan Dataset contains electronic health records (EHR) of hepatitis C patients collected at Kanazawa University, Japan. This dataset includes clinical data from 123 patients and a total of 13 clinical indicators, including whether each patient has cirrhosis in addition to hepatitis C. Each patient is labeled as having only hepatitis C or both hepatitis C and cirrhosis.

2) Data Utilization (1) Characteristics of the Hepatitis C EHRs from Japan Dataset: • With detailed clinical indicators and diagnosis results, this dataset is well suited for medical AI research, including early diagnosis of hepatitis C and cirrhosis, and high-risk group prediction.

(2) Applications of the Hepatitis C EHRs from Japan Dataset: • Disease Classification and Prediction Model Development: Clinical indicators can be used to develop machine learning models that classify whether hepatitis C patients also have cirrhosis. • Clinical Feature Analysis: The dataset enables studies on the correlation between clinical variables and disease, development of patient-specific diagnostic algorithms, and research on decision support in medical practice.

Burberry web scraped data

  About the website

The Fashion Industry in the Asia Pacific, particularly in Japan, has seen a significant growth in recent years. High-end, luxury brands like Burberry have established themselves firmly in the region. Its a fast-paced, highly consumer-driven industry that heavily incorporates the latest technology and trends. One noteworthy trend in Japans fashion industry is the rapid expansion of Ecommerce platforms. The dataset observed… See the full description on the dataset page: https://huggingface.co/datasets/DBQ/Burberry.Product.prices.Japan.

Imports in Japan decreased to 8599.61 JPY Billion in February from 10606.91 JPY Billion in January of 2025. This dataset provides the latest reported value for - Japan Imports - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

dataplor specializes in delivering highly precise, actionable intelligence tailored for businesses operating within the complex Japanese market. Our in-depth Point of Interest and foot traffic dataset for Japan is a cornerstone for businesses seeking to optimize operations and expand their footprint across the country.

Unlocking Japan's Potential with dataplor's POI Data Third-party Logistics / Order Fulfillment: Leverage our dataset to optimize delivery routes, identify optimal warehouse locations in bustling cities like Tokyo, Osaka, and Nagoya, and enhance last-mile delivery efficiency in densely populated urban areas.

Consumer Product Goods (CPGs): Gain a competitive edge by identifying ideal store locations in high-traffic areas, understanding consumer preferences across different regions and optimizing product distribution strategies. Telecommunication: Identify areas with high smartphone penetration, analyze competitor tower locations, and optimize network coverage in major cities and rural prefectures.

Finance and Investment: Evaluate potential investment opportunities by analyzing POI density and distribution in different regions (Tokyo, Osaka, Fukuoka), identifying affluent neighborhoods, and assessing the competitive landscape.

Store Location Data: Identify ideal store locations based on factors such as population density, competition, and consumer spending patterns in cities like Tokyo, Osaka, and Nagoya. Real Estate Intelligence: Assess property values based on location and surrounding amenities in major cities and regional areas.

Audience Targeting Data: Create highly targeted marketing campaigns through targeted marketing placement in high-density POI areas across Tokyo, Osaka, and Kyoto.

Travel Booking Data: Identify popular tourist destinations, analyze hotel and accommodation availability, and optimize travel itineraries for domestic and international visitors. dataplor's Japan POI dataset offers unparalleled granularity and accuracy, empowering businesses to make informed decisions and achieve sustainable growth in this dynamic market.

Japan JP: GDP: Linked Series data was reported at 590,694,100.000 JPY mn in 2023. This records an increase from the previous number of 559,710,100.000 JPY mn for 2022. Japan JP: GDP: Linked Series data is updated yearly, averaging 530,527,400.000 JPY mn from Dec 1990 (Median) to 2023, with 34 observations. The data reached an all-time high of 590,694,100.000 JPY mn in 2023 and a record low of 461,295,100.000 JPY mn in 1990. Japan JP: GDP: Linked Series data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Japan – Table JP.World Bank.WDI: Gross Domestic Product: Nominal. GDP is the sum of gross value added by all resident producers in the economy plus any product taxes and minus any subsidies not included in the value of the products. It is calculated without making deductions for depreciation of fabricated assets or for depletion and degradation of natural resources. This series has been linked to produce a consistent time series to counteract breaks in series over time due to changes in base years, source data and methodologies. Thus, it may not be comparable with other national accounts series in the database for historical years. Data are in current local currency.;World Bank staff estimates based on World Bank national accounts data archives, OECD National Accounts, and the IMF WEO database.;;

This dataset shows information on top 20 products for Malaysia-Japan Economic Partnership Agreement (MJEPA) scheme of Preferential Certificate of Origin( PCO) by month.

Net-Receivables Time Series for NH Foods Ltd. NH Foods Ltd. engages in manufacturing and selling ham, sausage, processed food, meat, and dairy product in Japan and internationally. The company's Processed Foods Business division offers ham and sausages under the SCHAU ESSEN brand; and Chinese food meal kits under the Chuka Meisai brand; chilled pizza under the Ishigama Kobo brand; and other meat product under the Hokkaido Carl Ramon and Kamakura Ham Tomioka brands. This segment also provides dairy products, such as cheese and yogurt products. The Fresh Meats Business division is involved in the production and raising, slaughtering, processing, distribution, and sale of fresh meat product. The company's Overseas Business division produces and sells chicken, ham, sausage, processed meat, seafood, and vegetables. It also engages in the operation of a football club, baseball club, and ballpark. The company also exports its products. The company was formerly known as Nippon Meat Packers Inc. and changed its name to NH Foods Ltd. in June 2014. NH Foods Ltd. was founded in 1942 and is headquartered in Osaka, Japan.

Net-a-Porter web scraped data

  About the website

The e-commerce industry in the Asia Pacific region is flourishing, with a distinctive leap in Japan. Net-a-Porter, a pilot retailer in the luxury fashion online retail industry, has made an intriguing impression. The Japanese market, known for its pioneering technology and advancement, is a hotbed for luxury fashion e-commerce platforms. Rapid digital transformation and high consumer acceptance of online shopping have only… See the full description on the dataset page: https://huggingface.co/datasets/DBQ/Net.a.Porter.Product.prices.Japan.

Other-Non-Cash-Items Time Series for JIN Co Ltd. JINS HOLDINGS Inc., through its subsidiaries, engages in the planning, manufacturing, sales, and import/export of eyewear in Japan and internationally. It also engages in Agricultural work contracting and farm. The company was formerly known as JINS Inc. and changed its name to JINS HOLDINGS Inc. in July 2019. JINS HOLDINGS Inc. was incorporated in 1988 and is headquartered in Tokyo, Japan.

Stock Price Time Series for Hachi-Ban Co Ltd. Hachi-Ban Co., Ltd. engages in the restaurant management business in Japan and internationally. The company also produces and sells food products, soups, and extracts; wholesales food for commercial use; and sells, imports, and exports food, seasonings, and ingredients. In addition, it is involved in the restaurant franchise and property letting business. Hachi-Ban Co., Ltd. was founded in 1967 and is headquartered in Kanazawa, Japan.

Comprehensive dataset of 2 Agricultural product wholesalers in Toyama, Japan as of August, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.

Success.ai’s Fashion & Apparel Data for Apparel, Fashion & Luxury Goods Professionals in Asia provides a robust dataset tailored for businesses seeking to connect with key players in Asia’s thriving fashion and luxury goods industries. Covering roles such as brand managers, designers, retail executives, and supply chain leaders, this dataset includes verified contact details, professional insights, and actionable business data.

With access to over 700 million verified global profiles and 130 million profiles focused on Asia, Success.ai ensures your outreach, marketing, and business development strategies are supported by accurate, continuously updated, and AI-validated data. Backed by our Best Price Guarantee, this solution positions you to succeed in Asia’s competitive and ever-growing fashion markets.

Why Choose Success.ai’s Fashion & Apparel Data?

1. Verified Contact Data for Precision Outreach

   • Access verified work emails, phone numbers, and LinkedIn profiles of professionals in apparel, fashion, and luxury goods industries across Asia.
   • AI-driven validation ensures 99% accuracy, reducing bounce rates and enhancing communication efficiency.

2. Comprehensive Coverage of Asian Fashion Professionals

   • Includes profiles from major fashion hubs such as China, India, Japan, South Korea, and Southeast Asia.
   • Gain insights into regional consumer trends, emerging fashion markets, and luxury goods opportunities.

3. Continuously Updated Datasets

   • Real-time updates capture changes in leadership, market expansions, and product launches.
   • Stay aligned with evolving industry trends and capitalize on new opportunities effectively.

4. Ethical and Compliant

   • Fully adheres to GDPR, CCPA, and other global data privacy regulations, ensuring responsible and lawful data usage.

Data Highlights:

• 700M+ Verified Global Profiles: Connect with professionals across the global fashion and apparel industries, with a focus on Asia.
• 130M+ Profiles in Asia: Gain detailed insights into professionals shaping the region’s fashion and luxury goods markets.
• Verified Contact Details: Access work emails, phone numbers, and business locations for precise targeting.
• Leadership Insights: Engage with designers, brand managers, and retail leaders driving Asia’s fashion trends.

Key Features of the Dataset:

1. Comprehensive Professional Profiles

   • Identify and connect with decision-makers in apparel design, luxury goods branding, retail operations, and supply chain management.
   • Target individuals leading innovation in sustainable fashion, fast fashion, and digital transformation.

2. Advanced Filters for Precision Campaigns

   • Filter professionals by industry focus (luxury goods, ready-to-wear, footwear), geographic location, or job function.
   • Tailor campaigns to align with specific market needs, such as emerging e-commerce platforms or regional fashion preferences.

3. Industry and Regional Insights

   • Leverage data on consumer behaviors, market growth, and regional trends in Asia’s fashion and luxury goods sectors.
   • Refine marketing strategies, product development, and partnership outreach based on actionable insights.

4. AI-Driven Enrichment

   • Profiles enriched with actionable data allow for personalized messaging, highlight unique value propositions, and improve engagement outcomes.

Strategic Use Cases:

1. Marketing Campaigns and Brand Expansion

   • Design targeted campaigns to promote apparel, luxury goods, or retail solutions to fashion professionals in Asia.
   • Leverage multi-channel outreach, including email, phone, and social media, to maximize engagement.

2. Product Development and Consumer Insights

   • Utilize data on regional trends and consumer preferences to guide product development and marketing strategies.
   • Collaborate with brand managers and designers to tailor collections or launch new offerings aligned with market demands.

3. Partnership Development and Retail Collaboration

   • Build relationships with retail chains, luxury brands, and supply chain leaders seeking strategic alliances.
   • Foster partnerships that expand distribution channels, enhance brand visibility, or improve operational efficiencies.

4. Market Research and Competitive Analysis

   • Analyze trends in Asia’s fashion industry to refine business strategies, identify market gaps, and anticipate consumer demands.
   • Benchmark against competitors to stay ahead in the fast-paced fashion landscape.

Why Choose Success.ai?

1. Best Price Guarantee

   • Access premium-quality fashion and apparel data at competitive prices, ensuring strong ROI for your marketing, sales, and product development efforts.

2. Seamless Integration

   • Integrate verified data into CRM systems, analytics platforms, or marketing tools via APIs or downloadable formats, streamlining workfl...

Comprehensive dataset of 4 Agricultural product wholesalers in Chiba, Japan as of July, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.

Techsalerator offers an extensive dataset of End-of-Day Pricing Data for all 4 companies listed on the Nagoya Stock Exchange (XNGO) in Japan. 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 Japan:

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 Japan:

Nikkei 225: The main index that tracks the performance of major companies listed on the Tokyo Stock Exchange. This index provides an overview of the overall market performance in Japan.

TOPIX: The index that tracks the performance of all domestic companies listed on the Tokyo Stock Exchange. This index reflects the performance of a broader range of companies in the Japanese market.

Company A: A prominent Japanese company with diversified operations across various sectors, such as automotive, electronics, or manufacturing. This company's stock is widely traded on the Tokyo Stock Exchange.

Company B: A leading financial institution in Japan, offering banking, insurance, or investment services. This company's stock is actively traded on the Tokyo Stock Exchange.

Company C: A major player in the Japanese consumer goods sector or other industries, involved in the production and distribution of consumer products. This company's stock is listed and actively traded on the Tokyo Stock Exchange.

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If you're interested in accessing Techsalerator's End-of-Day Pricing Data for Japan, 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 Japan ?

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 Japan?

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 Japan 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?

Techsalerator accepts various payment methods, including credit cards, direct transfers, ACH, and wire transfers, facilitating a convenient and secure payment process.

1. How do I receive...

Loro Piana web scraped data

  About the website

Loro Piana operates within the luxury fashion industry in the Asia Pacific region, particularly Japan. This industry is noted for its high-end products and services, catering to a demographic that values exclusivity, quality, and prestige. Japan is a major market, with a sophisticated consumer base that posseses a keen interest in luxury fashion. The ecommerce sector in this region has seen substantial growth, with… See the full description on the dataset page: https://huggingface.co/datasets/DBQ/Loro.Piana.Product.prices.Japan.

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.