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TwitterApache License, v2.0https://www.apache.org/licenses/LICENSE-2.0
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This dataset offers a detailed comparison of key global players like USA, Russia, China, India, Canada, Australia, and others across various economic, social, and environmental metrics. By comparing countries on indicators such as GDP, population, healthcare access, education levels, internet penetration, military spending, and much more, this dataset provides valuable insights for researchers, policymakers, and analysts.
🔍 Key Comparisons:
Economic Indicators: GDP, inflation rates, unemployment rates, etc. Social Indicators: Literacy rates, healthcare quality, life expectancy, etc. Environmental Indicators: CO2 emissions, renewable energy usage, protected areas, etc. Technological Advancements: Internet users, mobile subscriptions, tech exports, etc. Military Spending: Defense budgets, military personnel numbers, etc. This dataset is perfect for those who want to compare countries in terms of development, growth, and global standing. It can be used for data analysis, policy planning, research, and even education.
✨ Key Features:
Comprehensive Coverage: Includes multiple countries with key metrics. Multiple Domains: Economic, social, environmental, technological, and military data. Up-to-date Information: Covers data from the last decade to provide recent insights. Research Ready: Suitable for academic research, visualizations, and analysis.
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TwitterOpen Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
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This table contains 3549 series, with data for years 1972 - 2018 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (13 items: Canada; Newfoundland and Labrador; Prince Edward Island; Nova Scotia; ...) Country of residence (273 items: Total non-resident travellers, countries other than the United States; North America, Central America and Caribbean, total; Anguilla; Antigua and Barbuda; ...).
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TwitterA joint venture involving the National Atlas programs in Canada (Natural Resources Canada), Mexico (Instituto Nacional de Estadstica Geografa e Informtica), and the United States (U.S. Geological Survey), as well as the North American Commission for Environmental Co-operation, has led to the release (June 2004) of several new products: an updated paper map of North America, and its associated geospatial data sets and their metadata. These data sets are available online from each of the partner countries both for download. This data has been revised and re-released in 2006. The North American Atlas data are standardized geospatial data sets at 1:10,000,000 scale. A variety of basic data layers (e.g. roads, railroads, populated places, political boundaries, hydrography, bathymetry, sea ice and glaciers) have been integrated so that their relative positions are correct. This collection of data sets forms a base with which other North American thematic data may be integrated. Any data outside of Canada, Mexico, and the United States of America included in the North American Atlas data sets is strictly to complete the context of the data. The North American Atlas - Political Boundaries data set shows political entities in North America as polygons representing jurisdictional areas, and as lines representing political boundaries, including International boundaries, Provincial boundaries, State or territory boundaries, and the International Date Line.
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TwitterThe international boundary data featured in this shapefile consists of the boundary between the United States and Canada and the United States and Mexico. Each country's section is administered independently. The United States and Canada border data was provided by the International Boundary Commission, United States and Canada (IBC). The International Boundary and Water Commission (IBWC) provided the United States and Mexico section of the border data. Geospatial data files provided individually by the IBC and IBWC were used to re-align the Census Bureau's MAF/TIGER System data for the agency's representation of the international boundaries of United States with Canada and Mexico. The Census Bureau's MAF/TIGER System and the IBWC source file data for the portion of the United States and Mexico border featured a gap between Cameron County, Texas and the three-mile limit in the Gulf of Mexico. The National Oceanic and Atmospheric Administration Coast Survey Office's representation of the United States and Mexico boundary used to fill this gap.
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TwitterThe 2020 North American Land Cover 30-meter dataset was produced as part of the North American Land Change Monitoring System (NALCMS), a trilateral effort between Natural Resources Canada, the United States Geological Survey, and three Mexican organizations including the National Institute of Statistics and Geography (Instituto Nacional de Estadística y Geografía), National Commission for the Knowledge and Use of the Biodiversity (Comisión Nacional Para el Conocimiento y Uso de la Biodiversidad), and the National Forestry Commission of Mexico (Comisión Nacional Forestal). The collaboration is facilitated by the Commission for Environmental Cooperation, an international organization created by the Canada, Mexico, and United States governments under the North American Agreement on Environmental Cooperation to promote environmental collaboration between the three countries. The general objective of NALCMS is to devise, through collective effort, a harmonized multi-scale land cover monitoring approach which ensures high accuracy and consistency in monitoring land cover changes at the North American scale and which meets each country’s specific requirements. This 30-meter dataset of North American Land Cover reflects land cover information for 2020 from Mexico and Canada, 2019 over the conterminous United States and 2021 over Alaska. Each country developed its own classification method to identify Land Cover classes and then provided an input layer to produce a continental Land Cover map across North America. Canada, Mexico, and the United States developed their own 30-meter land cover products; see specific sections on data generation below. The main inputs for image classification were 30-meter Landsat 8 Collection 2 Level 1 data in the three countries (Canada, the United States and Mexico). Image selection processes and reduction to specific spectral bands varied among the countries due to study-site-specific requirements. While Canada selected most images from the year 2020 with a few from 2019 and 2021, the Conterminous United States employed mainly images from 2019, while Alaska land cover maps are mainly based on the use of images from 2021. The land cover map for Mexico was based on land cover change detection between 2015 and 2020 Mexico Landsat 8 mosaics. In order to generate a seamless and consistent land cover map of North America, national maps were generated for Canada by the CCRS; for Mexico by CONABIO, INEGI, and CONAFOR; and for the United States by the USGS. Each country chose their own approaches, ancillary data, and land cover mapping methodologies to create national datasets. This North America dataset was produced by combining the national land cover datasets. The integration of the three national products merged four Land Cover map sections, Alaska, Canada, the conterminous United States and Mexico.
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TwitterEach workbook contains daily COVID-19 stats by each country affected. Additional sheets have also been added for more specific breakdown by different locations within Australia, Canada, China, and USA. Worked with BNO News to put this together. Additional credits include: Michael Van Poppel and Carlos Robles. Github updated every 24 hrs can be found here: https://github.com/jamesvalles/CORONAVIUS-COVID-19-DAILYSTATS
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TwitterNumber of passenger vehicles crossing into the United States via Canada and Mexico, and number of freight trucks crossing into U.S. via Niagara Falls.
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TwitterThis dataset displays the annual import of both beef and veal stocks into the United States. The figures are given in a carcass wt. 1,000 pounds scale. Data is available from 2003 to January of 2008. The main sources being Australia, Canada, and New Zealand.
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TwitterOpen Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
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Total visitor spending in Ontario grouped by selected U.S. regions. ## Related * Inbound visitor spending * Inbound visits by country * Inbound visitor spending by country * Inbound visits * Inbound Visits by U.S. State *[U.S.]: United States
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TwitterThis dataset illustrates the largest difference between high and low temperatures and the smallest difference between high and low temperatures in cities with 50,000 people or more. A value of -1 means that the data was not applicable. Also included are the rankings, the inverse ranking to be used for mapping purposes, the popualtion, the name of city and state, and the temperature degree difference. Source City-Data URL http//www.city-data.com/top2/c489.html http//www.city-data.com/top2/c490.html Date Accessed November 13,2007
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TwitterThis table contains 45 series, with data for years 2014 - 2014 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (1 item: Canada) Countries visited (15 items: United States; Mexico; United Kingdom; France; ...) Travel characteristics (3 items: Visits; Nights; Spending in country).
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TwitterThis dataset displays the annual beef and veal exports by country from the United States. This is on a Carcass wt. 1000 pound scale. The time period covered stretches from 2003 to January of 2008.
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TwitterOpen Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
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Number of outbound visits by residents of Ontario to selected Overseas Countries. ## Related * Outbound visits * Outbound visitor spending * Outbound visitor spending by province * Outbound visitor spending by country * Outbound visits by province * Outbound visits by U.S. state * Outbound visitor spending by U.S. state *[U.S.]: United States
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TwitterThis dataset represents the top five countries to import into Canada for the years 1995 - 2002. This data is from Statistics Canada. The total imports for each year are as follows in million of Canadian dollars: 1995 - $ 225,553, 1996 - $232,566, 1997 - $272,946, 1998 - $298,386, 1999 - $320,409, 2000 - $356,862, 2001 - $343,076, 2002 - $348,445.
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TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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This dataset provides values for RETIREMENT AGE MEN reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.
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TwitterUSDA publishes weekly reports on the meat and poultry imports from country of origin. Of the 250 or so countries, US imports come from less than 40 countries. Total imports amount is a nearly 31.9 Metric tons, much of it coming from just a handful of countries such as Canada, Australia, Mexico, New Zealand, Nicargua. The dataset for this map was published on 14th May, 2007. Source: USDA Market News Portal.
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TwitterA data set of observed daily and monthly averaged precipitation, maximum and minimum temperature, gridded to a 1/16° (~6km) resolution that spans the entire country of Mexico, the conterminous U.S. (CONUS), and regions of Canada south of 53° N for the period 1950-2013. The dataset improves previous products in spatial extent, orographic precipitation adjustment over Mexico and parts of Canada, and reduction of transboundary discontinuities. The precipitation is adjusted for orographic effects using an elevation-aware 1981-2010 precipitation climatology. Because of the consistent gridding methodology, the current product reduces transboundary discontinuities making it suitable for estimating large-scale hydrometeorologic phenomena. Also included are daily wind data from the National Centers for Environmental Prediction - National Centers for Atmospheric Research (NCEP - NCAR) resampled to the same grid as temperature and precipitation.
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TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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This dataset provides values for INFLATION RATE reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.
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TwitterThe National Waterway Network is a comprehensive network database of the nation's navigable waterways. The data set covers the 48 contiguous states plus the District of Columbia, Hawaii, Alaska, Puerto Rico and water links between. The nominal scale of the dataset varies with the source material. The majority of the information is at 1:100,000 with larger scales used in harbor/bay/port areas and smaller scales used in open waters. Purpose: The National Waterway Network is a geographic database of navigable waterways in and around the United States, for analytical studies of waterway performance, for compiling commodity flow statistics, and for mapping purposes.
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TwitterThis is a map of the locations of all of the WalMart stores throughout the United States. This dataset geocodes the street address of the Walmarts and shows their locations on the map along with their phone numbers for more information. This data was found at a Walmart Locations website which aggregated the locations by state. here is our Source for the information: http://www.priceviewer.com/walmart_locations/
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TwitterApache License, v2.0https://www.apache.org/licenses/LICENSE-2.0
License information was derived automatically
This dataset offers a detailed comparison of key global players like USA, Russia, China, India, Canada, Australia, and others across various economic, social, and environmental metrics. By comparing countries on indicators such as GDP, population, healthcare access, education levels, internet penetration, military spending, and much more, this dataset provides valuable insights for researchers, policymakers, and analysts.
🔍 Key Comparisons:
Economic Indicators: GDP, inflation rates, unemployment rates, etc. Social Indicators: Literacy rates, healthcare quality, life expectancy, etc. Environmental Indicators: CO2 emissions, renewable energy usage, protected areas, etc. Technological Advancements: Internet users, mobile subscriptions, tech exports, etc. Military Spending: Defense budgets, military personnel numbers, etc. This dataset is perfect for those who want to compare countries in terms of development, growth, and global standing. It can be used for data analysis, policy planning, research, and even education.
✨ Key Features:
Comprehensive Coverage: Includes multiple countries with key metrics. Multiple Domains: Economic, social, environmental, technological, and military data. Up-to-date Information: Covers data from the last decade to provide recent insights. Research Ready: Suitable for academic research, visualizations, and analysis.