Japón

NetIndex provides you with a few great ways to visualize our comprehensive global broadband and mobile performance data, our licensable data product, NetMetrics, gives your organization the ability to dive even deeper. Powered by millions of verified Ookla Speedtest results from around the globe, each record contains over 20 individual data points such as GPS or GeoIP location, ISP, throughput, latency, OS, browser, device and more. Gain unparalleled insight into cable, DSL, and fiber performance, as well as cellular 3G/4G and LTE connectivity around the world.

Data cited at : https://www.bis.org/statistics/index.htm

Global growth is forecast at 3.5 percent in 2015 and 3.8 percent in 2016, with uneven prospects across the main countries and regions of the world. The distribution of risks to near-term global growth has become more balanced relative to the October World Economic Outlook but is still tilted to the downside. The decline in oil prices could boost activity more than expected. Geopolitical tensions continue to pose threats, and risks of disruptive shifts in asset prices remain relevant. In some advanced economies, protracted low inflation or deflation also pose risks to activity. The chapter takes a region-by-region look at the recent development in the world economy and the outlook for 2015, with particular attention to notable development in countries within each region.

Data cited at: Our World in data-https://ourworldindata.org/coronavirus-source-data 

These Community Mobility Reports aim to provide insights into what has changed in response to policies aimed at combating COVID-19. The reports chart movement trends over time by geography, across different categories of places such as retail and recreation, groceries and pharmacies, parks, transit stations, workplaces, and residential.

Please refer metadata information related to this dataset pulled from CUPID database - https://datapipeline.knoema.com/jlwqreb/lme-closing-price-last-trading-price-metadata-from-cupid

Maastricht criterion bond yields (mcby) are long-term interest rates, used as a convergence criterion for the European Monetary Union, based on the Maastricht Treaty

A yield curve, also known as term structure of interest rates, represents the relationship between market remuneration (interest) rates and the remaining time to maturity of debt securities. The information content of a yield curve reflects the asset pricing process on financial markets. When buying and selling bonds, investors include their expectations of  future inflation, real interest rates and their assessment of risks. An investor calculates the price of a bond by discounting the expected future cash flows (coupon payments and/or redemption). ECB estimates zero-coupon yield curves for the euro area and also derives forward and par yield curves. A zero coupon bond is a bond that pays no cupon and is sold at a discount from its face value. The zero coupon curve represents the yield to maturity of hypothetical zero coupon bonds, since they are not directly observable in the market for a wide range of maturities. They must therfore be estimatedfrom existing zero coupon bonds and fixed coupon bond prices or yields.  The forward curve shows the short-term (instantaneous) interest rate for future periods implied in the yield curve. The par yield reflects hypothetical yields, namely the interest rates the bonds would have yielded had they been priced at par (i.e. at 100).

This dataset contains the exchange rate of 1USD to their country local currency.

Data cited at: Global Database of Events, Language, and Tone   The GDELT Event Database records over 300 categories of physical activities around the world, from riots and protests to peace appeals and diplomatic exchanges, georeferenced to the city or mountain top, across the entire planet dating back to January 1, 1979 and updated every 15 minutes. Essentially it takes a sentence like "The United States criticized Russia yesterday for deploying its troops in Crimea, in which a recent clash with its soldiers left 10 civilians injured" and transforms this blurb of unstructured text into three structured database entries, recording US CRITICIZES RUSSIA, RUSSIA TROOP-DEPLOY UKRAINE (CRIMEA), and RUSSIA MATERIAL-CONFLICT CIVILIANS (CRIMEA). Nearly 60 attributes are captured for each event, including the approximate location of the action and those involved. This translates the textual descriptions of world events captured in the news media into codified entries in a grand "global spreadsheet."

Data cited at: Economic Policy Uncertainty The Global Economic Policy Uncertainty (GEPU) Index is a GDP-weighted average of national EPU indices for 20 countries: Australia, Brazil, Canada, Chile, China, France, Germany, Greece, India, Ireland, Italy, Japan, Mexico, the Netherlands, Russia, South Korea, Spain, Sweden, the United Kingdom, and the United States.

Global Stock Market Indexes, Daily Update

Note: Daily data is getting released with a time gap of T-2. For example, 16-March-2020 data is released on 18-March-2020   This dataset gives Google Web Search Trend for search item - "coronavirus" for past 90 days. Interest over time: Numbers represent search interest relative to the highest point on the chart for the given region and time. A value of 100 is the peak popularity for the term. A value of 50 means that the term is half as popular. A score of 0 means there was not enough data for this term.

This table presents data on Government appropriations or outlays for RD (GBAORD) by socio-economic objective (SEO), using the NABS 2007 classification i.e.: Exploration and exploitation of the Earth, Environment, Exploration and exploitation of space, Transport, telecommunication and other infrastructures, Energy, Industrial production and technology, Health, Agriculture, Education, Culture, recreation, religion and mass media, Political and social systems, structures and processes, General advancement of knowledge: RD financed from General University Funds (GUF), General advancement of knowledge: RD financed from sources other than GUF, Defence. Please note that in this new NABS 2007 classification, the three socio-economic objectives -- Education, Culture, recreation, religion and mass media, and Political and social systems, structures and processes -- were previously grouped under a single objective: Social structures and relationships. At the time of this publication there is no breakdown of historical data into the three new SEOs. Another issue relating to the transition from NABS 1993 to NABS 2007 is that what was formerly Other civil research is now to be distributed among the other chapters. This distribution has not yet been done in this database. Therefore, until the countries are in a position to provide breakdown according to the NABS 2007 classification, in some cases GBAORD by SEO is greater than the sum of its chapters.

University of Oxford baseline measure of variation in governments’ responses is the COVID-19 Government Response Stringency Index. This composite measure is a simple additive score of seven indicators measured on an ordinal scale, rescaled to vary from 0 to 100. Please note that this measure is for comparative purposes only, and should not necessarily be interpreted as rating of the appropriateness or effectiveness of a country's response.   Data cited at: Hale, Thomas and Samuel Webster (2020). Oxford COVID-19 Government Response Tracker. Data use policy: Creative Commons Attribution CC BY standard.

CDS-implied sovereign default probabilities for various recovery rate assumptions computed by Deutsche Bank Research Team from CDS spreads. For more information about computation consult DB Research notes

The data of the sector includes the number of visitors to by tourist location and category of visitors, and hotel services whose data reflect indicators of the number of guests distributed by hotel, governorate, room type, hotel type, nationality of guests, and hotel revenues by type of service.

Data updates are released on every Thursday.

Global growth is projected at 3.3 percent both in 2025 and 2026, below the historical (2000–19) average of 3.7 percent. The forecast for 2025 is broadly unchanged from that in the October 2024 World Economic Outlook (WEO), primarily on account of an upward revision in the United States offsetting downward revisions in other major economies. Global headline inflation is expected to decline to 4.2 percent in 2025 and to 3.5 percent in 2026, converging back to target earlier in advanced economies than in emerging market and developing economies. Medium-term risks to the baseline are tilted to the downside, while the near-term outlook is characterized by divergent risks. Upside risks could lift already-robust growth in the United States in the short run, whereas risks in other countries are on the downside amid elevated policy uncertainty. Policy-generated disruptions to the ongoing disinflation process could interrupt the pivot to easing monetary policy, with implications for fiscal sustainability and financial stability. Managing these risks requires a keen policy focus on balancing trade-offs between inflation and real activity, rebuilding buffers, and lifting medium-term growth prospects through stepped-up structural reforms as well as stronger multilateral rules and cooperation.

Global growth is projected at 3.3 percent both in 2025 and 2026, below the historical (2000–19) average of 3.7 percent. The forecast for 2025 is broadly unchanged from that in the October 2024 World Economic Outlook (WEO), primarily on account of an upward revision in the United States offsetting downward revisions in other major economies. Global headline inflation is expected to decline to 4.2 percent in 2025 and to 3.5 percent in 2026, converging back to target earlier in advanced economies than in emerging market and developing economies. Medium-term risks to the baseline are tilted to the downside, while the near-term outlook is characterized by divergent risks. Upside risks could lift already-robust growth in the United States in the short run, whereas risks in other countries are on the downside amid elevated policy uncertainty. Policy-generated disruptions to the ongoing disinflation process could interrupt the pivot to easing monetary policy, with implications for fiscal sustainability and financial stability. Managing these risks requires a keen policy focus on balancing trade-offs between inflation and real activity, rebuilding buffers, and lifting medium-term growth prospects through stepped-up structural reforms as well as stronger multilateral rules and cooperation.