Wages In the Euro Area increased 3.40 percent in March of 2025 over the same month in the previous year. This dataset provides the latest reported value for - Euro Area Wage Growth - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

Graph and download economic data for Employed full time: Median usual weekly real earnings: Wage and salary workers: 16 years and over (LEU0252881600Q) from Q1 1979 to Q2 2025 about full-time, salaries, workers, earnings, 16 years +, wages, median, real, employment, and USA.

Negotiated Wage Growth In the Euro Area decreased to 2.38 percent in the first quarter of 2025 from 4.12 percent in the fourth quarter of 2024. This dataset includes a chart with historical data for Euro Area Negotiated Wage Growth.

In the second quarter of 2025, the growth of the real gross domestic product (GDP) in China ranged at *** percent compared to the same quarter of the previous year. GDP refers to the total market value of all goods and services that are produced within a country per year. It is an important indicator of the economic strength of a country. Real GDP is adjusted for price changes and is therefore regarded as a key indicator for economic growth. GDP growth in China In 2024, China ranged second among countries with the largest gross domestic product worldwide. Since the introduction of economic reforms in 1978, the country has experienced rapid social and economic development. In 2013, it became the world’s largest trading nation, overtaking the United States. However, per capita GDP in China was still much lower than that of industrialized countries. Until 2011, the annual growth rate of China’s GDP had constantly been above nine percent. However, economic growth has cooled down since and is projected to further slow down gradually in the future. Rising domestic wages and the competitive edge of other Asian and African countries are seen as main reasons for the stuttering in China’s economic engine. One strategy of the Chinese government to overcome this transition is a gradual shift of economic focus from industrial production to services. Challenges to GDP growth Another major challenge lies in the massive environmental pollution that China’s reckless economic growth has caused over the past decades. China’s development has been powered mostly by coal consumption, which resulted in high air pollution. To counteract industrial pollution, further investments in waste management and clean technologies are necessary. In 2017, about **** percent of GDP was spent on pollution control. Surging environmental costs aside, environmental issues could also be a key to industrial transition as China placed major investments in renewable energy and clean tech projects. The consumption of green energy skyrocketed from **** exajoules in 2005 to **** million in 2022.

Graph and download economic data for Employed full time: Usual weekly nominal earnings (first quartile): Wage and salary workers: 25 years and over (LEU0252916100Q) from Q1 2000 to Q2 2025 about first quartile, full-time, 25 years +, salaries, workers, earnings, wages, employment, and USA.

Graph and download economic data for Labor Compensation: Wage Rate: Manufacturing: Hourly for Netherlands (LCWRMN01NLQ661N) from Q1 1970 to Q2 2023 about Netherlands, compensation, hours, wages, manufacturing, and rate.

Series Name: Average hourly earnings of employees by sex and occupation (local currency)Series Code: SL_EMP_AEARNRelease Version: 2020.Q2.G.03 This dataset is the part of the Global SDG Indicator Database compiled through the UN System in preparation for the Secretary-General's annual report on Progress towards the Sustainable Development Goals.Indicator 8.5.1: Average hourly earnings of employees, by sex, age, occupation and persons with disabilitiesTarget 8.5: By 2030, achieve full and productive employment and decent work for all women and men, including for young people and persons with disabilities, and equal pay for work of equal valueGoal 8: Promote sustained, inclusive and sustainable economic growth, full and productive employment and decent work for allFor more information on the compilation methodology of this dataset, see https://unstats.un.org/sdgs/metadata/

Graph and download economic data for Labor Compensation: Earnings: Manufacturing: Hourly for Euro Area (19 Countries) (LCEAMN01EZQ657S) from Q2 1996 to Q1 2025 about compensation, Euro Area, earnings, Europe, hours, and manufacturing.

Wages in Australia increased 3.40 percent in March of 2025 over the same month in the previous year. This dataset provides - Australia Wage Growth- actual values, historical data, forecast, chart, statistics, economic calendar and news.

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.

Q2 Earnings: Outlook on Revenue Growth? (QTWO)

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

Explore the upcoming Q2 earnings report of Applied Materials, with expected revenue growth and market implications.

Graph and download economic data for Labor Compensation: Wage Rate: Manufacturing: Hourly for Belgium (LCWRMN01BEQ661N) from Q1 1960 to Q2 2023 about Belgium, compensation, hours, wages, manufacturing, and rate.

Monster Beverage is expected to report a 17.1% profit increase in Q2, demonstrating resilience and growth potential despite past challenges.

Broadcom's Q2 earnings are expected to show a 20% revenue increase, fueled by AI chip demand. Analysts predict a $15.02 billion revenue, with AI growth as a key factor.

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.

Bank of America's Consumer Banking Division Poised for Strong Q2 Performance

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

Analysts remain optimistic as Micron Technology prepares to release its fiscal second-quarter results, with expectations of strong revenue and earnings growth, supported by favorable stock ratings.

CarMax's Q2 CY2025 earnings report reveals a 6.1% sales increase to $7.55 billion, surpassing profit expectations. The company's growth model shows strength with improved same-store sales and strategic expansion.

Consumer spending across India amounted to 24.57 trillion rupees by the end of the second quarter of 2024. It reached an all-time high during the fourth quarter of 2023. What is consumer spending? Consumer spending refers to the total money spent on final goods and services by individuals and households in an economy. It is an important metric that directly impacts the GDP of a country. Items that qualify as consumer spending include durable and nondurable goods and services. Various factors such as debt held by consumers, wages, supply and demand, taxes, and government-based economic stimulus can impact consumer spending in a country. Positive consumer outlook in India India’s consumer spending reflects a positive outlook with renewed consumer confidence post-COVID. Its consumer market is set to become one of the largest in the world as the number of middle- to high-income households rises with increasing amounts of disposable incomes. The country’s young demographic is also considered a driving force for increased consumer spending. Consumer electronics such as smartphones, laptops, and gaming consoles were the preferred items among Indian holiday shoppers in 2023.

Graph and download economic data for Labor Compensation: Earnings: Manufacturing: Hourly for Norway (LCEAMN01NOQ657S) from Q2 1959 to Q1 2025 about Norway, compensation, earnings, hours, and manufacturing.

Graph and download economic data for Labor Compensation: Earnings: Manufacturing: Hourly for United States (LCEAMN01USQ659S) from Q1 1956 to Q2 2025 about compensation, earnings, hours, manufacturing, and USA.