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Consumer Confidence in the United States increased to 61.80 points in July from 60.70 points in June of 2025. This dataset provides the latest reported value for - United States Consumer Sentiment - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.
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Consumer Confidence Economic Expectations in the United States decreased to 80.20 in July from 83.90 in June of 2017. This dataset includes a chart with historical data for the United States Consumer Confidence Economic Expectations.
Israel's consumer confidence index reached ** points in January 2025, showing a slight improvement from December 2024. Still, public sentiment remained below the previous 12-month average of ** points. This figure reflected the ongoing impact of the Israel-Hamas conflict on consumer sentiment, which has been relatively low since the war began in October 2023. The index provides insight into Israeli households' perceptions of their financial situations and major purchasing plans. Public consumption recovers Despite the subdued consumer confidence, the consumer market in Israel tells a different story. Private consumption reached over *** billion Israeli shekels (about ** billion U.S. dollars) in the third quarter of 2024, representing an increase of almost ** percent from the previous quarter. This was part of a longer upward trend in spending for ***** consecutive quarters. The gradual improvement in consumer spending suggests a steady recovery in the consumption side of the economy. Credit card transactions are growing Credit card transactions also demonstrated signs of recovery. In the first quarter of 2024, the total value of credit card transactions in Israel amounted to over *** billion Israeli shekels (about ** billion U.S. dollars), marking a **** percent increase from the previous quarter. This growth was observed across both large and small businesses, with transactions in large businesses reaching over ** billion Israeli shekels (about ** billion U.S. dollars) during the first months of 2024.
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Key information about China Consumer Confidence: Net Balance
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Key information about Turkey Consumer Confidence: Net Balance
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Key information about Serbia Consumer Confidence: Net Balance
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Key information about Japan Consumer Confidence: Net Balance
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Key information about Romania Consumer Confidence: Net Balance
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Key information about Estonia Consumer Confidence: Net Balance
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Key information about Latvia Consumer Confidence: Net Balance
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Key information about Mexico Consumer Confidence: Net Balance
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Key information about Qatar Consumer Confidence: Net Balance
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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.
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)
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)
Stock price prediction
Portfolio optimization
Algorithmic trading
Market sentiment analysis
Risk management
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
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
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Key information about Sweden Consumer Confidence: Net Balance
The statistic shows the gross domestic product (GDP) per capita in Japan from 1987 to 2024, with projections up until 2030. In 2024, the estimated gross domestic product per capita in Japan was around 32,498.15 U.S. dollars. For further information, see Japan's GDP. Japan's economy Japan is the world’s second largest developed economy and a member of the Group of Eight, also known as G8, which is comprised of the eight leading industrialized countries. Due to a weak financial sector, overregulation and a lack of demand, Japan suffered substantially from the early 1990s until 2000, a time referred to as ‘’The Lost Decade’’. Japan’s economy is still slowly recovering from the country’s asset price bubble collapse; however it continues to struggle to retain economic milestones achieved in the 1980s. Japan’s response to the crash was to stimulate the economy, which in turn resulted in extensive amounts of debt that further increased into the 21st century, most notably after the 2008 financial crisis. Despite maintaining a surprisingly low unemployment rate, demand within the country remains inadequate, primarily because Japanese residents spend a rather small fraction of the money they earned from the workplace. Lower demand often has a direct effect on production, with companies seeing not enough profits to continue production at such a high rate. Based on the consumer confidence index, Japanese households found that their quality of life, income growth, employment and propensity to durable goods was below satisfactory standards, perhaps due to these households still experiencing the effects of the 1990s bubble crash.
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Key information about Thailand Consumer Confidence: Net Balance
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Key information about France Consumer Confidence: Net Balance
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The global functional weighing indicator market size was valued at approximately USD 1.2 billion in 2023 and is projected to reach USD 1.9 billion by 2032, growing at a CAGR of 5.3% during the forecast period. The growth of this market is primarily driven by the increasing demand for precision weighing solutions across various industries such as manufacturing, logistics, and healthcare.
The need for accurate and reliable weighing systems has become more critical than ever due to the increasing automation in manufacturing processes and quality control measures. Additionally, the rise in global trade and logistics has necessitated the use of efficient weighing solutions to ensure compliance with international standards and regulations. Moreover, advancements in weighing technologies, such as the integration of IoT and AI for real-time data monitoring and analytics, are further propelling the market growth. These technological advancements are enabling end-users to achieve greater operational efficiency and cost savings, which is a significant growth factor for the market.
Another major driver for the functional weighing indicator market is the expansion of the food and beverage industry. As consumers become more health-conscious, there is an increased focus on precise measurement and portion control, which is critical for maintaining nutritional standards. The healthcare sector is also witnessing a surge in demand for accurate weighing systems for applications such as patient monitoring and pharmaceutical manufacturing. These industries require high levels of accuracy and reliability, making functional weighing indicators indispensable tools. The growth in these sectors is expected to significantly contribute to the market's expansion over the forecast period.
The stringent regulatory requirements and standards imposed by various governments and international bodies are also playing a crucial role in driving the market. Compliance with these regulations ensures that products meet specific quality and safety standards, thereby boosting consumer confidence. Industries such as pharmaceuticals, food and beverage, and logistics are particularly impacted by these regulations, leading to increased adoption of advanced weighing solutions. The need for compliance not only drives the demand for functional weighing indicators but also encourages continuous technological innovation in the market.
In the context of industrial applications, the role of an Industrial Scale Indicator becomes increasingly vital. These indicators are specifically designed to withstand the rigorous demands of industrial environments, providing precise and reliable measurements that are crucial for maintaining product quality and operational efficiency. Industrial Scale Indicators are equipped with robust features such as high durability, resistance to harsh conditions, and advanced connectivity options, making them indispensable in sectors like manufacturing and logistics. Their ability to integrate seamlessly with existing systems and provide real-time data analytics ensures that industries can maintain compliance with stringent regulatory standards while optimizing their production processes. As industries continue to evolve towards more automated and data-driven operations, the demand for Industrial Scale Indicators is expected to rise, further driving the growth of the functional weighing indicator market.
Regionally, North America and Europe are expected to hold significant market shares due to their advanced industrial infrastructure and stringent regulatory frameworks. The Asia Pacific region is anticipated to witness the highest growth rate, driven by rapid industrialization, urbanization, and increasing investments in infrastructure development. The growing e-commerce sector in the Asia Pacific region is also contributing to the rising demand for efficient weighing solutions. Overall, the regional outlook for the functional weighing indicator market remains positive, with substantial growth opportunities across various regions.
The functional weighing indicator market is segmented into digital and analog types. Digital weighing indicators are expected to dominate the market due to their high precision, ease of use, and advanced features such as digital displays, data storage, and connectivity options. These indicators are widely used in applications requiring high accuracy and real-time data monitor
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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.
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)
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)
Stock price prediction
Portfolio optimization
Algorithmic trading
Market sentiment analysis
Risk management
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
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
In 2023, consumers in Russia spent an average of ***** U.S. dollars, marking an increase by roughly *** U.S. dollars in the average annual household expenditure per capita compared to the previous year. Consumption in Russia The consumer confidence index (CCI) which measures consumers’ perception of job prospects, personal finances, and spending intentions, was measured at ** points in the last quarter of 2021 in Russia. That marked a 10-index-point-increase compared to the equivalent period of the previous year. Even though Russian consumers were more optimistic in 2021 than the year before, at least one-third of the population aged over 18 years reported their disposition to spend less over the next year, according to a 2021 survey. Food consumption in Russia Food-related expenses of an average Russian accounted for roughly one-third of the total consumer budget in the country. This share was greater in 2020, which can be explained by COVID-19-related lockdowns and pandemic-induced grocery stocking. Meat, fish, and cheese were among the priciest grocery items in Russia in 2022. Butter was the third-most expensive food product after domestic cognac and black leaf tea in that year, with an average retail price of over *** Russian rubles per kilogram.
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License information was derived automatically
Consumer Confidence in the United States increased to 61.80 points in July from 60.70 points in June of 2025. This dataset provides the latest reported value for - United States Consumer Sentiment - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.