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The statistic shows the gross domestic product growth rate in Canada from 2019 to 2023, with projections up until 2029. In 2023, Canada’s real GDP growth was around 1.25 percent compared to the previous year.Economy of CanadaAs an indicator for the shape of a country’s economy, there are not many factors as telling as GDP. GDP is the total market value of all final goods and services that have been produced within a country within a given period of time, usually a year. Real GDP figures serve as an even more reliable tool in determining the direction in which a country’s economy may be swaying, as they are adjusted for inflation and reflect real price changes.Canada is one of the largest economies in the world and is counted among the globe’s wealthiest nations. It has a relatively small labor force in comparison to some of the world’s other largest economic powers, amounting to just under 19 million. Unemployment in Canada has remained relatively high as the country has battled against the tide of economic woe that swept across the majority of the world after the 2008 financial meltdown, and although moving in the right direction, there is still some way to go for Canada.Canada is among the leading trading nations worldwide, owing to the absolutely vast supplies of natural resources, which make up a key part of the Canadian trading relationship with the United States, the country with which Canada trades by far the most. In recent years, around three quarters of Canadian exports went to the United States and just over half of its imports came from its neighbor to the south. The relationship is very much mutually beneficial; Canada is the leading foreign energy supplier to the United States.

Recently, the economy in Guangdong province has ranked first in the country, maintaining a good growth momentum. The prediction of Gross Domestic Product (GDP) for Guangdong province is an important issue. Through predicting the GDP, it is possible to analyze whether the economy in Guangdong province can maintain high-quality growth. Hence, to accurately forecast the economy in Guangdong, this paper proposed an Elman neural network combining with wavelet function. The wavelet function not only stimulates the forecast ability of Elman neural network, but also improves the convergence speed of Elman neural network. Experimental results indicate that our model has good forecast ability of regional economy, and the forecast accuracy reach 0.971. In terms of forecast precision and errors, our model defeats the competitors. Moreover, our model gains advanced forecast results to both individual economic indicator and multiple economic indicators. This means that our model is independently of specific scenarios in regional economic forecast. We also find that the investment in education has a major positive impact on regional economic development in Guangdong province, and the both surges positive correlation. Experimental results also show that our model does not exhibit exponential training time with the augmenting of data volume. Consequently, we propose that our model is suitable for the prediction of large-scale datasets. Additionally, we demonstrate that using wavelet function gains more profits than using complex network architectures in forecast accuracy and training cost. Moreover, using wavelet function can simplify the designs of complexity network architectures, reducing the training parameter of neural networks.

The U.S. Census Bureau.s economic indicator surveys provide monthly and quarterly data that are timely, reliable, and offer comprehensive measures of the U.S. economy. These surveys produce a variety of statistics covering construction, housing, international trade, retail trade, wholesale trade, services and manufacturing. The survey data provide measures of economic activity that allow analysis of economic performance and inform business investment and policy decisions. Other data included, which are not considered principal economic indicators, are the Quarterly Summary of State & Local Taxes, Quarterly Survey of Public Pensions, and the Manufactured Homes Survey. For information on the reliability and use of the data, including important notes on estimation and sampling variance, seasonal adjustment, measures of sampling variability, and other information pertinent to the economic indicators, visit the individual programs' webpages - http://www.census.gov/cgi-bin/briefroom/BriefRm.

Canada CA: Share in World Imports: Value Imports: Good and Services: expressed in USD data was reported at 2.310 Ratio in 2026. This records a decrease from the previous number of 2.335 Ratio for 2025. Canada CA: Share in World Imports: Value Imports: Good and Services: expressed in USD data is updated yearly, averaging 3.109 Ratio from Dec 1980 (Median) to 2026, with 47 observations. The data reached an all-time high of 4.110 Ratio in 1985 and a record low of 2.310 Ratio in 2026. Canada CA: Share in World Imports: Value Imports: Good and Services: expressed in USD data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s Canada – Table CA.OECD.EO: Trade Statistics: Share in World Trade and Performance Indicators: Forecast: OECD Member: Annual. MSHA - Share of value imports of goods and services in world imports in USD OECD calculation, see OECD Economic Outlook database documentation

The U.S. Census Bureau.s economic indicator surveys provide monthly and quarterly data that are timely, reliable, and offer comprehensive measures of the U.S. economy. These surveys produce a variety of statistics covering construction, housing, international trade, retail trade, wholesale trade, services and manufacturing. The survey data provide measures of economic activity that allow analysis of economic performance and inform business investment and policy decisions. Other data included, which are not considered principal economic indicators, are the Quarterly Summary of State & Local Taxes, Quarterly Survey of Public Pensions, and the Manufactured Homes Survey. For information on the reliability and use of the data, including important notes on estimation and sampling variance, seasonal adjustment, measures of sampling variability, and other information pertinent to the economic indicators, visit the individual programs' webpages - http://www.census.gov/cgi-bin/briefroom/BriefRm.

United States CSI: Economic: Expected Business Condition: Next Yr: Good Times data was reported at 55.000 % in May 2018. This records an increase from the previous number of 49.000 % for Apr 2018. United States CSI: Economic: Expected Business Condition: Next Yr: Good Times data is updated monthly, averaging 44.000 % from Jan 1978 (Median) to May 2018, with 485 observations. The data reached an all-time high of 77.000 % in Jan 2000 and a record low of 11.000 % in Apr 1980. United States CSI: Economic: Expected Business Condition: Next Yr: Good Times data remains active status in CEIC and is reported by University of Michigan. The data is categorized under Global Database’s USA – Table US.H028: Consumer Sentiment Index: Economic Conditions. The question was: Now turning to business conditions in the country as a whole -- do you think that during the next 12 months we'll have good times financially or bad times or what?

The U.S. Census Bureau.s economic indicator surveys provide monthly and quarterly data that are timely, reliable, and offer comprehensive measures of the U.S. economy. These surveys produce a variety of statistics covering construction, housing, international trade, retail trade, wholesale trade, services and manufacturing. The survey data provide measures of economic activity that allow analysis of economic performance and inform business investment and policy decisions. Other data included, which are not considered principal economic indicators, are the Quarterly Summary of State & Local Taxes, Quarterly Survey of Public Pensions, and the Manufactured Homes Survey. For information on the reliability and use of the data, including important notes on estimation and sampling variance, seasonal adjustment, measures of sampling variability, and other information pertinent to the economic indicators, visit the individual programs' webpages - http://www.census.gov/cgi-bin/briefroom/BriefRm.

The U.S. Census Bureau.s economic indicator surveys provide monthly and quarterly data that are timely, reliable, and offer comprehensive measures of the U.S. economy. These surveys produce a variety of statistics covering construction, housing, international trade, retail trade, wholesale trade, services and manufacturing. The survey data provide measures of economic activity that allow analysis of economic performance and inform business investment and policy decisions. Other data included, which are not considered principal economic indicators, are the Quarterly Summary of State & Local Taxes, Quarterly Survey of Public Pensions, and the Manufactured Homes Survey. For information on the reliability and use of the data, including important notes on estimation and sampling variance, seasonal adjustment, measures of sampling variability, and other information pertinent to the economic indicators, visit the individual programs' webpages - http://www.census.gov/cgi-bin/briefroom/BriefRm.

Russia Enterprises in Good or Normal Financial Situation data was reported at 94.000 % in Dec 2018. This records an increase from the previous number of 82.000 % for Nov 2018. Russia Enterprises in Good or Normal Financial Situation data is updated monthly, averaging 61.000 % from Jan 1993 (Median) to Dec 2018, with 312 observations. The data reached an all-time high of 94.000 % in Dec 2018 and a record low of 12.000 % in Jan 1996. Russia Enterprises in Good or Normal Financial Situation data remains active status in CEIC and is reported by Institute of World Economy and International Relations. The data is categorized under Russia Premium Database’s Business and Economic Survey – Table RU.SB003: Russian Economic Barometer: Enterprises Indicators.

Argentina AR: Share in World Exports: Value Exports: Good and Services: expressed in USD data was reported at 0.689 Ratio in 2026. This records an increase from the previous number of 0.497 Ratio for 2025. Argentina AR: Share in World Exports: Value Exports: Good and Services: expressed in USD data is updated yearly, averaging 0.364 Ratio from Dec 1993 (Median) to 2026, with 34 observations. The data reached an all-time high of 0.689 Ratio in 2026 and a record low of 0.276 Ratio in 2023. Argentina AR: Share in World Exports: Value Exports: Good and Services: expressed in USD data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s Argentina – Table AR.OECD.EO: Trade Statistics: Share in World Trade and Performance Indicators: Forecast: Non OECD Member: Annual. XSHA - Share of value exports of goods and services in world exports in USD OECD calculation, see OECD Economic Outlook database documentation

There are eight parent indicators, each of which includes many sub indicators.

FocusEconomics' economic data is provided by official state statistical reporting agencies as well as our global network of leading banks, think tanks and consultancies. Our datasets provide not only historical data, but also Consensus Forecasts and individual forecasts from the aformentioned global network of economic analysts. This includes the latest forecasts as well as historical forecasts going back to 2010. Our global network consists of over 1000 world-renowned economic analysts from which we calculate our Consensus Forecasts. In this specific dataset you will find economic data for France Exports G&S.

This analysis presents a rigorous exploration of financial data, incorporating a diverse range of statistical features. By providing a robust foundation, it facilitates advanced research and innovative modeling techniques within the field of finance.

Taiwan Weighted Index: A Reliable Indicator of Economic Health?

Financial data:

• Historical daily stock prices (open, high, low, close, volume)

• Fundamental data (e.g., market capitalization, price to earnings P/E ratio, dividend yield, earnings per share EPS, price to earnings growth, debt-to-equity ratio, price-to-book ratio, current ratio, free cash flow, projected earnings growth, return on equity, dividend payout ratio, price to sales ratio, credit rating)

• Technical indicators (e.g., moving averages, RSI, MACD, average directional index, aroon oscillator, stochastic oscillator, on-balance volume, accumulation/distribution A/D line, parabolic SAR indicator, bollinger bands indicators, fibonacci, williams percent range, commodity channel index)

Machine learning features:

• Feature engineering based on financial data and technical indicators

• Sentiment analysis data from social media and news articles

• Macroeconomic data (e.g., GDP, unemployment rate, interest rates, consumer spending, building permits, consumer confidence, inflation, producer price index, money supply, home sales, retail sales, bond yields)

Potential Applications:

• Stock price prediction

• Portfolio optimization

• Algorithmic trading

• Market sentiment analysis

• Risk management

Use Cases:

• Researchers investigating the effectiveness of machine learning in stock market prediction

• Analysts developing quantitative trading Buy/Sell strategies

• Individuals interested in building their own stock market prediction models

• Students learning about machine learning and financial applications

Additional Notes:

• The dataset may include different levels of granularity (e.g., daily, hourly)

• Data cleaning and preprocessing are essential before model training

• Regular updates are recommended to maintain the accuracy and relevance of the data

United States CSI: Home Buying Conditions: Good Time: Prices Low data was reported at 14.000 % in May 2018. This records a decrease from the previous number of 15.000 % for Apr 2018. United States CSI: Home Buying Conditions: Good Time: Prices Low data is updated monthly, averaging 21.000 % from Feb 1978 (Median) to May 2018, with 467 observations. The data reached an all-time high of 74.000 % in May 2009 and a record low of 2.000 % in May 1979. United States CSI: Home Buying Conditions: Good Time: Prices Low data remains active status in CEIC and is reported by University of Michigan. The data is categorized under Global Database’s USA – Table US.H036: Consumer Sentiment Index: Home Buying and Selling Conditions. The question was: Generally speaking, do you think now is a good time or a bad time to buy a house? Responses to the query 'Why do you say so?'

FocusEconomics' economic data is provided by official state statistical reporting agencies as well as our global network of leading banks, think tanks and consultancies. Our datasets provide not only historical data, but also Consensus Forecasts and individual forecasts from the aformentioned global network of economic analysts. This includes the latest forecasts as well as historical forecasts going back to 2010. Our global network consists of over 1000 world-renowned economic analysts from which we calculate our Consensus Forecasts. In this specific dataset you will find economic data for Australia Exports G&S.

The U.S. Census Bureau.s economic indicator surveys provide monthly and quarterly data that are timely, reliable, and offer comprehensive measures of the U.S. economy. These surveys produce a variety of statistics covering construction, housing, international trade, retail trade, wholesale trade, services and manufacturing. The survey data provide measures of economic activity that allow analysis of economic performance and inform business investment and policy decisions. Other data included, which are not considered principal economic indicators, are the Quarterly Summary of State & Local Taxes, Quarterly Survey of Public Pensions, and the Manufactured Homes Survey. For information on the reliability and use of the data, including important notes on estimation and sampling variance, seasonal adjustment, measures of sampling variability, and other information pertinent to the economic indicators, visit the individual programs' webpages - http://www.census.gov/cgi-bin/briefroom/BriefRm.

FocusEconomics' economic data is provided by official state statistical reporting agencies as well as our global network of leading banks, think tanks and consultancies. Our datasets provide not only historical data, but also Consensus Forecasts and individual forecasts from the aformentioned global network of economic analysts. This includes the latest forecasts as well as historical forecasts going back to 2010. Our global network consists of over 1000 world-renowned economic analysts from which we calculate our Consensus Forecasts. In this specific dataset you will find economic data for Greece Exports G&S.

Overview

Huq Industries is delighted to introduce our premium Daily Footfall Data feed, expertly tailored to meet the needs of real estate professionals, investors, retailers, and government bodies focused on local economic forecasting. Our product offers extensive insights into foot traffic patterns across the UK, covering over 2,741 retail centres and utilising more than 1.1 million H3 hexbins at Level 12 resolution. With a robust client base of over 600 satisfied customers, our data is a trusted resource for making informed decisions across various sectors.

Key Features and Specifications

• Valued by 600+ Customers: Our data is trusted by a diverse client base, proving its reliability and utility across numerous analytical needs. • Accuracy Backtested & Verified: Our data's accuracy is rigorously backtested and verified, demonstrating high correlation with benchmarks such as DCMS / British Museum entrants and sales data from Walmart, Petco, and Boot Barn. • Daily Footfall Statistics: Updated daily to deliver the most current and actionable insights. • UK-Wide Coverage: Comprehensive geographic insights covering the entire United Kingdom. • High-Resolution Data: Hex 12 (19m) resolution ensures detailed and precise geographic information. • Unique Visitor Footfall: Provides clear insights into the number of unique visitors.

Why Choose Huq Industries' Footfall Data?

Local Economic Forecasting

Our footfall data is an essential tool for local economic forecasting, offering deep insights into foot traffic patterns and consumer behaviour. Real estate professionals, investors, retailers, and government bodies can leverage this data to understand economic trends, predict market movements, and make informed decisions about resource allocation. The granularity and frequency of our data enable precise analysis, which is crucial for accurate economic forecasting.

Foot Traffic Measurement

For accurate foot traffic measurement, our data provides detailed insights into visitor numbers, peak times, and movement patterns. This information is invaluable for assessing the performance of retail locations, understanding consumer behaviour, and optimising store layouts and operations.

Asset Management

Our data is instrumental in asset management, allowing investors to monitor the performance of their assets accurately. The detailed footfall data helps in evaluating the viability and performance of retail locations, providing a clear picture of asset performance and potential for improvement.

Property Investment

Investors can utilise our data for property investment decisions, gaining insights into market demand, foot traffic trends, and consumer behaviour. This information is crucial for identifying high-potential investment opportunities and mitigating risks.

Asset Tracking

Our data supports asset tracking, enabling real-time monitoring and assessment of property performance. By understanding foot traffic patterns and consumer behaviour, investors and property managers can make data-driven decisions to enhance asset value and achieve better returns.

Data Schema and Cadence

Our data schema is designed for clarity and ease of use, featuring properties such as:

• Datestamp: The date on which the observation was made. • Polygon ID: The ID of the CDRC defining the enclosing retail centre. • Centre Name: The name of the CDRC retail centre. • Centre Type: The classification of the CDRC retail centre. • Centre Region: The NUTS2/UK2 value for the region where the centre is located. • H3 Key: The H3 ID at level 12 for the geographic unit. • Latitude and Longitude: The geographic coordinates of the H3 unit centroid. • Footfall Value: The number of unique population member observations, adjusted for geographic sampling bias.

The cadence of our data ensures daily updates, providing the most current and actionable insights. This regular update cycle allows for timely decision-making and rapid responses to changing conditions, a critical advantage in today's fast-paced business environment.

Conclusion

Huq Industries' Daily Footfall Data feed is a powerful solution for any organisation looking to leverage location data for strategic advantage. Whether for local economic forecasting, foot traffic measurement, asset management, property investment, or asset tracking, our data provides the quality, frequency, and granularity needed to make informed decisions and drive success. Join over 600 satisfied customers and unlock the full potential of foot traffic data with Huq Industries.

The U.S. Census Bureau.s economic indicator surveys provide monthly and quarterly data that are timely, reliable, and offer comprehensive measures of the U.S. economy. These surveys produce a variety of statistics covering construction, housing, international trade, retail trade, wholesale trade, services and manufacturing. The survey data provide measures of economic activity that allow analysis of economic performance and inform business investment and policy decisions. Other data included, which are not considered principal economic indicators, are the Quarterly Summary of State & Local Taxes, Quarterly Survey of Public Pensions, and the Manufactured Homes Survey. For information on the reliability and use of the data, including important notes on estimation and sampling variance, seasonal adjustment, measures of sampling variability, and other information pertinent to the economic indicators, visit the individual programs' webpages - http://www.census.gov/cgi-bin/briefroom/BriefRm.