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Japan: Industry value added, billion USD: The latest value from 2022 is 1145.67 billion U.S. dollars, a decline from 1473.27 billion U.S. dollars in 2021. In comparison, the world average is 121.48 billion U.S. dollars, based on data from 182 countries. Historically, the average for Japan from 1994 to 2022 is 1472.57 billion U.S. dollars. The minimum value, 1145.67 billion U.S. dollars, was reached in 2022 while the maximum of 1903.04 billion U.S. dollars was recorded in 1995.
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Food, beverages and tobacco (% of value added in manufacturing) in Norway was reported at 6.4441 % in 2022, according to the World Bank collection of development indicators, compiled from officially recognized sources. Norway - Food, beverages and tobacco (% of value added in manufacturing) - actual values, historical data, forecasts and projections were sourced from the World Bank on July of 2025.
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This dataset compares four cities FIXED-line broadband internet speeds: - Melbourne, AU - Bangkok, TH - Shanghai, CN - Los Angeles, US - Alice Springs, AU
ERRATA: 1.Data is for Q3 2020, but some files are labelled incorrectly as 02-20 of June 20. They all should read Sept 20, or 09-20 as Q3 20, rather than Q2. Will rename and reload. Amended in v7.
*lines of data for each geojson file; a line equates to a 600m^2 location, inc total tests, devices used, and average upload and download speed - MEL 16181 locations/lines => 0.85M speedtests (16.7 tests per 100people) - SHG 31745 lines => 0.65M speedtests (2.5/100pp) - BKK 29296 lines => 1.5M speedtests (14.3/100pp) - LAX 15899 lines => 1.3M speedtests (10.4/100pp) - ALC 76 lines => 500 speedtests (2/100pp)
Geojsons of these 2* by 2* extracts for MEL, BKK, SHG now added, and LAX added v6. Alice Springs added v15.
This dataset unpacks, geospatially, data summaries provided in Speedtest Global Index (linked below). See Jupyter Notebook (*.ipynb) to interrogate geo data. See link to install Jupyter.
** To Do Will add Google Map versions so everyone can see without installing Jupyter. - Link to Google Map (BKK) added below. Key:Green > 100Mbps(Superfast). Black > 500Mbps (Ultrafast). CSV provided. Code in Speedtestv1.1.ipynb Jupyter Notebook. - Community (Whirlpool) surprised [Link: https://whrl.pl/RgAPTl] that Melb has 20% at or above 100Mbps. Suggest plot Top 20% on map for community. Google Map link - now added (and tweet).
** Python melb = au_tiles.cx[144:146 , -39:-37] #Lat/Lon extract shg = tiles.cx[120:122 , 30:32] #Lat/Lon extract bkk = tiles.cx[100:102 , 13:15] #Lat/Lon extract lax = tiles.cx[-118:-120, 33:35] #lat/Lon extract ALC=tiles.cx[132:134, -22:-24] #Lat/Lon extract
Histograms (v9), and data visualisations (v3,5,9,11) will be provided. Data Sourced from - This is an extract of Speedtest Open data available at Amazon WS (link below - opendata.aws).
**VERSIONS v.24 Add tweet and google map of Top 20% (over 100Mbps locations) in Mel Q322. Add v.1.5 MEL-Superfast notebook, and CSV of results (now on Google Map; link below). v23. Add graph of 2022 Broadband distribution, and compare 2020 - 2022. Updated v1.4 Jupyter notebook. v22. Add Import ipynb; workflow-import-4cities. v21. Add Q3 2022 data; five cities inc ALC. Geojson files. (2020; 4.3M tests 2022; 2.9M tests)
v20. Speedtest - Five Cities inc ALC. v19. Add ALC2.ipynb. v18. Add ALC line graph. v17. Added ipynb for ALC. Added ALC to title.v16. Load Alice Springs Data Q221 - csv. Added Google Map link of ALC. v15. Load Melb Q1 2021 data - csv. V14. Added Melb Q1 2021 data - geojson. v13. Added Twitter link to pics. v12 Add Line-Compare pic (fastest 1000 locations) inc Jupyter (nbn-intl-v1.2.ipynb). v11 Add Line-Compare pic, plotting Four Cities on a graph. v10 Add Four Histograms in one pic. v9 Add Histogram for Four Cities. Add NBN-Intl.v1.1.ipynb (Jupyter Notebook). v8 Renamed LAX file to Q3, rather than 03. v7 Amended file names of BKK files to correctly label as Q3, not Q2 or 06. v6 Added LAX file. v5 Add screenshot of BKK Google Map. v4 Add BKK Google map(link below), and BKK csv mapping files. v3 replaced MEL map with big key version. Prev key was very tiny in top right corner. v2 Uploaded MEL, SHG, BKK data and Jupyter Notebook v1 Metadata record
** LICENCE AWS data licence on Speedtest data is "CC BY-NC-SA 4.0", so use of this data must be: - non-commercial (NC) - reuse must be share-alike (SA)(add same licence). This restricts the standard CC-BY Figshare licence.
** Other uses of Speedtest Open Data; - see link at Speedtest below.
https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain
Graph and download economic data for 10-Year Real Interest Rate (REAINTRATREARAT10Y) from Jan 1982 to Jul 2025 about 10-year, interest rate, interest, real, rate, and USA.
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Gold fell to 3,372.61 USD/t.oz on July 24, 2025, down 0.45% from the previous day. Over the past month, Gold's price has risen 1.19%, and is up 42.68% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Gold - values, historical data, forecasts and news - updated on July of 2025.
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Textiles and clothing (% of value added in manufacturing) in Hungary was reported at 111 % in 2022, according to the World Bank collection of development indicators, compiled from officially recognized sources. Hungary - Textiles and clothing (% of value added in manufacturing) - actual values, historical data, forecasts and projections were sourced from the World Bank on July of 2025.
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Food, beverages and tobacco (% of value added in manufacturing) in Poland was reported at 14.82 % in 2022, according to the World Bank collection of development indicators, compiled from officially recognized sources. Poland - Food, beverages and tobacco (% of value added in manufacturing) - actual values, historical data, forecasts and projections were sourced from the World Bank on June of 2025.
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Money Supply M2 in the United States increased to 21942 USD Billion in May from 21862.40 USD Billion in April of 2025. This dataset provides - United States Money Supply M2 - actual values, historical data, forecast, chart, statistics, economic calendar and news.
The total amount of data created, captured, copied, and consumed globally is forecast to increase rapidly, reaching *** zettabytes in 2024. Over the next five years up to 2028, global data creation is projected to grow to more than *** zettabytes. In 2020, the amount of data created and replicated reached a new high. The growth was higher than previously expected, caused by the increased demand due to the COVID-19 pandemic, as more people worked and learned from home and used home entertainment options more often. Storage capacity also growing Only a small percentage of this newly created data is kept though, as just * percent of the data produced and consumed in 2020 was saved and retained into 2021. In line with the strong growth of the data volume, the installed base of storage capacity is forecast to increase, growing at a compound annual growth rate of **** percent over the forecast period from 2020 to 2025. In 2020, the installed base of storage capacity reached *** zettabytes.
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Indonesia: Industry value added, billion USD: The latest value from 2023 is 551.43 billion U.S. dollars, an increase from 546.49 billion U.S. dollars in 2022. In comparison, the world average is 124.18 billion U.S. dollars, based on data from 168 countries. Historically, the average for Indonesia from 1983 to 2023 is 198.98 billion U.S. dollars. The minimum value, 27.02 billion U.S. dollars, was reached in 1986 while the maximum of 551.43 billion U.S. dollars was recorded in 2023.
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Food, beverages and tobacco (% of value added in manufacturing) in Spain was reported at 8.6104 % in 2022, according to the World Bank collection of development indicators, compiled from officially recognized sources. Spain - Food, beverages and tobacco (% of value added in manufacturing) - actual values, historical data, forecasts and projections were sourced from the World Bank on July of 2025.
In July 2019, the Metropolitan Police Department (MPD) implemented new data collection methods that enabled officers to collect more comprehensive information about each police stop in an aggregated manner. More specifically, these changes have allowed for more detailed data collection on stops, protective pat down (PPDs), searches, and arrests. (For a complete list of terms, see the glossary on page 2.) These changes support data collection requirements in the Neighborhood Engagement Achieves Results Amendment Act of 2016 (NEAR Act).The accompanying data cover all MPD stops including vehicle, pedestrian, bicycle, and harbor stops for the period from July 22, 2019 to December 31, 2022. A stop may involve a ticket (actual or warning), investigatory stop, protective pat down, search, or arrest.If the final outcome of a stop results in an actual or warning ticket, the ticket serves as the official documentation for the stop. The information provided in the ticket include the subject’s name, race, gender, reason for the stop, and duration. All stops resulting in additional law enforcement actions (e.g., pat down, search, or arrest) are documented in MPD’s Record Management System (RMS). This dataset includes records pulled from both the ticket (District of Columbia Department of Motor Vehicles [DMV]) and RMS sources. Data variables not applicable to a particular stop are indicated as “NULL.” For example, if the stop type (“stop_type” field) is a “ticket stop,” then the fields: “stop_reason_nonticket” and “stop_reason_harbor” will be “NULL.” Each row in the data represents an individual stop of a single person, and that row reveals any and all recorded outcomes of that stop (including information about any actual or warning tickets issued, searches conducted, arrests made, etc.). A single traffic stop may generate multiple tickets, including actual, warning, and/or voided tickets. Additionally, an individual who is stopped and receives a traffic ticket may also be stopped for investigatory purposes, patted down, searched, and/or arrested. If any of these situations occur, the “stop_type” field would be labeled “Ticket and Non-Ticket Stop.” If an individual is searched, MPD differentiates between person and property searches. The “stop_location_block” field represents the block-level location of the stop and/or a street name. The age of the person being stopped is calculated based on the time between the person’s date ofbirth and the date of the stop.There are certain locations that have a high prevalence of non-ticket stops. These can be attributed to some centralized processing locations. Additionally, there is a time lag for data on some ticket stops as roughly 20 percent of tickets are handwritten. In these instances, the handwritten traffic tickets are delivered by MPD to the DMV, and then entered into data systems by DMV contractors. On August 1, 2021, MPD transitioned to a new version of its current records management system, Mark43 RMS.Due to this transition, the data collection and structures for the period between August 1, 2021 – December 31, 2021 were changed. The list below provides explanatory notes to consider when using this dataset.New fields for data collection resulted in an increase of outliers in stop duration (affecting 0.98% of stops). In order to mitigate the disruption of outliers on any analysis, these values have been set to null as consistent with past practices.Due to changes to the data structure that occurred after August 1, 2021, six attributes pertaining to reasons for searches of property and person are only available for the first seven months of 2021. These attributes are: Individual’s Actions, Information Obtained from Law Enforcement Sources, Information Obtained from Witnesses or Informants, Characteristics of an Armed Individual, Nature of the Alleged Crime, Prior Knowledge. These data structure changes have been updated to include these attributes going forward (as of April 23, 2022).Out of the four attributes for types of property search, warrant property search is only available for the first seven months of 2021. Data structure changes were made to include this type of property search in future datasets.The following chart shows how certain property search fields were aligned prior to and after August 1, 2021. A glossary is also provided following the chart. As of August 2, 2022, these fields have reverted to the original alignment.https://mpdc.dc.gov/sites/default/files/dc/sites/mpdc/publication/attachments/Explanatory%20Notes%202021%20Data.pdfIn October 2022 several fields were added to the dataset to provide additional clarity differentiating NOIs issued to bicycles (including Personal Mobility Devices, aka stand-on scooters), pedestrians, and vehicles as well as stops related specifically to MPD’s Harbor Patrol Unit and stops of an investigative nature where a police report was written. Please refer to the Data Dictionary for field definitions.In March 2023 an indicator was added to the data which reflects stops related to traffic enforcement and/or traffic violations. This indicator will be 1 if a stop originated as a traffic stop (including both stops where only a ticket was issued as well as stops that ultimately resulted in police action such as a search or arrest), involved an arrest for a traffic violation, and/or if the reason for the stop was Response to Crash, Observed Moving Violation, Observed Equipment Violation, or Traffic Violation.Between November 2021 and February 2022 several fields pertaining to items seized during searches of a person were not available for officers to use, leading to the data showing that no objects were seized pursuant to person searches during this time period. Finally, MPD is conducting on-going data audits on all data for thorough and complete information. For more information regarding police stops, please see: https://mpdc.dc.gov/stopdataFigures are subject to change due to delayed reporting, on-going data quality audits, and data improvement processes.
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Israel: Industry value added, billion USD: The latest value from 2022 is 99.18 billion U.S. dollars, an increase from 88.27 billion U.S. dollars in 2021. In comparison, the world average is 121.48 billion U.S. dollars, based on data from 182 countries. Historically, the average for Israel from 1995 to 2022 is 48.7 billion U.S. dollars. The minimum value, 24.82 billion U.S. dollars, was reached in 1995 while the maximum of 99.18 billion U.S. dollars was recorded in 2022.
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San Marino: Manufacturing value added, billion USD: The latest value from 2022 is 0.62 billion U.S. dollars, an increase from 0.61 billion U.S. dollars in 2021. In comparison, the world average is 76.78 billion U.S. dollars, based on data from 167 countries. Historically, the average for San Marino from 2015 to 2022 is 0.5 billion U.S. dollars. The minimum value, 0.4 billion U.S. dollars, was reached in 2015 while the maximum of 0.62 billion U.S. dollars was recorded in 2022.
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Italy: Agriculture value added, billion USD: The latest value from 2023 is 42.72 billion U.S. dollars, an increase from 39.77 billion U.S. dollars in 2022. In comparison, the world average is 23.49 billion U.S. dollars, based on data from 166 countries. Historically, the average for Italy from 1990 to 2023 is 37.8 billion U.S. dollars. The minimum value, 29.09 billion U.S. dollars, was reached in 2001 while the maximum of 45.28 billion U.S. dollars was recorded in 2008.
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United States - Value Added by Industry: Government as a Percentage of GDP was 11.40% in January of 2025, according to the United States Federal Reserve. Historically, United States - Value Added by Industry: Government as a Percentage of GDP reached a record high of 14.20 in April of 2009 and a record low of 11.20 in July of 2022. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Value Added by Industry: Government as a Percentage of GDP - last updated from the United States Federal Reserve on July of 2025.
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Bermuda: Manufacturing value added, billion USD: The latest value from 2022 is 0.03 billion U.S. dollars, unchanged from 0.03 billion U.S. dollars in 2021. In comparison, the world average is 76.78 billion U.S. dollars, based on data from 167 countries. Historically, the average for Bermuda from 2001 to 2022 is 0.05 billion U.S. dollars. The minimum value, 0.02 billion U.S. dollars, was reached in 2020 while the maximum of 0.08 billion U.S. dollars was recorded in 2001.
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Industry (including construction), value added (current US$) in New Zealand was reported at 48915048980 USD in 2022, according to the World Bank collection of development indicators, compiled from officially recognized sources. New Zealand - Industry, value added - actual values, historical data, forecasts and projections were sourced from the World Bank on July of 2025.
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Natural gas fell to 3.25 USD/MMBtu on July 22, 2025, down 2.13% from the previous day. Over the past month, Natural gas's price has fallen 14.59%, but it is still 48.80% higher than a year ago, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Natural gas - values, historical data, forecasts and news - updated on July of 2025.
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Machinery and transport equipment (% of value added in manufacturing) in Colombia was reported at 3.5419 % in 2022, according to the World Bank collection of development indicators, compiled from officially recognized sources. Colombia - Machinery and transport equipment (% of value added in manufacturing) - actual values, historical data, forecasts and projections were sourced from the World Bank on June of 2025.
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Japan: Industry value added, billion USD: The latest value from 2022 is 1145.67 billion U.S. dollars, a decline from 1473.27 billion U.S. dollars in 2021. In comparison, the world average is 121.48 billion U.S. dollars, based on data from 182 countries. Historically, the average for Japan from 1994 to 2022 is 1472.57 billion U.S. dollars. The minimum value, 1145.67 billion U.S. dollars, was reached in 2022 while the maximum of 1903.04 billion U.S. dollars was recorded in 1995.