In December 2023, the price of beer in the off-trade channel in Ireland was 6.6 percent higher than the same month in 2023. The price of beer in the on-trade channel was also 6.5 percent higher than in December 2023.

Graph and download economic data for Producer Price Index by Industry: Breweries: Beer and Ale in Barrels and Kegs (PCU3121203121207) from Jun 1982 to May 2025 about beer, PPI, industry, inflation, price index, indexes, price, and USA.

Graph and download economic data for Producer Price Index by Industry: Breweries: Canned Beer and Ale Case Goods (PCU3121203121201) from Dec 1975 to May 2025 about beer, goods, PPI, industry, inflation, price index, indexes, price, and USA.

Graph and download economic data for Producer Price Index by Industry: Breweries: All Other Malt Beverages and Brewing Products (PCU3121203121209) from Jun 1982 to May 2025 about beverages, PPI, industry, inflation, price index, indexes, price, and USA.

In 2023, the price index value of beer was measured at 122.6. Consumer price indices are designed to measure changes in the price of everything consumers buy. More information on CPI can be found here

(CDID: CBZP) Year - Consumer price inflation time series Time series data for public sector finances and important fiscal aggregates, based on the new European System of Accounts 2010: ESA10 framework.

Graph and download economic data for Producer Price Index by Industry: Breweries (PCU3121231212) from Dec 2003 to May 2025 about beer, PPI, industry, inflation, price index, indexes, price, and USA.

In December 2024, the consumer price index (CPI) value of beer was measured at 150.7 across six capital cities in Australia, marking a considerable rise since the start of the given period, where the beer CPI was measured at around 104.4 index points. Consumer price indexes are used to measure changes in the price of goods and services which account for a high proportion of consumer household expenditure.

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.

Dutch Bros (BROS) Stock: Barista Brew or Bean Blunder?

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

This statistic depicts the year-on-year development of consumer prices for beer in Germany from 2000 to 2024. In 2024, consumer prices for beer increased by roughly *** percent compared to the previous year.

Carbon-Neutral Brewing Market Outlook

According to our latest research, the global carbon-neutral brewing market size reached USD 7.34 billion in 2024, reflecting the accelerating adoption of sustainable practices across the brewing industry. The market is experiencing robust expansion, with a compound annual growth rate (CAGR) of 12.3% anticipated from 2025 to 2033. By 2033, the market is forecasted to achieve a value of USD 20.80 billion. This remarkable growth is driven by increasing consumer demand for eco-friendly products, stringent environmental regulations, and growing corporate commitments to achieving net-zero emissions.

A primary growth factor for the carbon-neutral brewing market is the increasing consumer awareness and demand for sustainable and environmentally responsible products. As climate change and environmental sustainability become central issues for consumers worldwide, breweries are responding by adopting carbon-neutral brewing processes. The younger demographic, particularly millennials and Gen Z, are especially vocal about supporting brands that prioritize sustainability. This shift in consumer preference is compelling breweries to innovate and invest in renewable energy, carbon capture technologies, and eco-friendly packaging. Furthermore, the rise of social media and digital platforms has amplified consumer voices, making sustainability not just a preference but a critical factor in purchasing decisions, thereby fueling market growth.

Another significant driver is the tightening of environmental regulations and government incentives aimed at reducing greenhouse gas emissions. Many countries, especially in Europe and North America, have implemented strict policies and provided subsidies for companies that adopt green technologies. For example, the European Union’s Green Deal and the United States’ Inflation Reduction Act offer substantial incentives for breweries that transition to renewable energy sources or implement carbon offset programs. These regulatory frameworks not only encourage breweries to adopt carbon-neutral practices but also create a competitive advantage for early adopters. The availability of government grants and tax benefits further reduces the financial burden of transitioning to sustainable operations, thereby accelerating market adoption.

In addition, the brewing industry itself is recognizing the long-term economic and reputational benefits of carbon-neutral operations. Breweries adopting sustainable practices are able to reduce operational costs over time, particularly through energy savings and waste reduction. Moreover, carbon-neutral credentials enhance brand reputation and open up new market opportunities, especially in export markets where sustainability certifications are increasingly required. Supply chain partners, including retailers and distributors, are also prioritizing sustainable products, further integrating carbon-neutral brewing into the mainstream. These factors collectively contribute to the robust growth trajectory of the carbon-neutral brewing market.

From a regional perspective, Europe continues to dominate the carbon-neutral brewing market, accounting for over 38% of global revenue in 2024. This leadership is attributed to the region’s strong regulatory environment, established sustainability culture, and the presence of leading breweries that have set ambitious net-zero targets. North America follows closely, driven by a rapidly growing craft beer segment and increasing investment in renewable energy infrastructure. The Asia Pacific region, while currently representing a smaller share, is witnessing the fastest growth, propelled by rising urbanization, a burgeoning middle class, and increasing awareness of environmental issues. Latin America and the Middle East & Africa are also beginning to embrace carbon-neutral brewing, supported by global beverage conglomerates expanding their sustainability initiatives into these emerging markets.

Product Type Analysis

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(CDID: DOBI) Month - Consumer price inflation time series Time series data for public sector finances and important fiscal aggregates, based on the new European System of Accounts 2010: ESA10 framework.

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.

Starbucks (SBUX) - Brewing Growth or Facing a Cold Brew?

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

The Irish Beer Production industry is experiencing a slump, primarily due to inflation-related turbulence and ever-growing health consciousness, which is reducing overall alcohol consumption. In response to these challenges, businesses have shown remarkable adaptability by introducing non-alcoholic ranges to cater to health-conscious consumers. Additionally, large companies have started acquiring independent craft breweries to tap into the rising interest in craft beers among Irish consumers. Industry revenue is set to drop at a compound annual rate of 0.5% over the five years through 2024 to €1.9 billion, but revenue is estimated to inch upwards by 2.5% in 2024. Declining footfall in on-trade sectors like pubs, driven by weak consumer sentiment and increased awareness of responsible drinking, has dented demand in these areas. However, alcohol consumption in supermarkets has risen, mitigating some lost sales from the on-trade market. Many companies are responding to the growing trend of low alcohol consumption by releasing non-alcoholic alternatives to their alcoholic counterparts. Guinness, for example, has seen massive success with its non-alcoholic range, prompting an expansion in production. Industry revenue is forecast to swell at a compound annual rate of 1% over the five years through 2029 to just shy of €2 billion. Well-known and established beer brands will only grow stronger by acquiring up-and-coming craft breweries. Domestic and global demand for Irish craft beer will continue to climb, prompting new and innovative brewing companies to enter. The domestic popularity of US and European craft beer brands will drive import levels to the disadvantage of industry performance.

Russia Consumer Price Index (CPI): Prev Dec=100: Alcoholic Beverages: Beer: Imported data was reported at 98.470 Prev Dec=100 in Dec 2018. This records a decrease from the previous number of 98.660 Prev Dec=100 for Nov 2018. Russia Consumer Price Index (CPI): Prev Dec=100: Alcoholic Beverages: Beer: Imported data is updated monthly, averaging 104.885 Prev Dec=100 from Jan 1997 (Median) to Dec 2018, with 264 observations. The data reached an all-time high of 175.110 Prev Dec=100 in Dec 1998 and a record low of 97.960 Prev Dec=100 in Nov 2017. Russia Consumer Price Index (CPI): Prev Dec=100: Alcoholic Beverages: Beer: Imported data remains active status in CEIC and is reported by Federal State Statistics Service. The data is categorized under Russia Premium Database’s Inflation – Table RU.IA018: Consumer Price Index: Previous December=100: Food.

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.

Starbuck's (SBUX) Future Brew: Worth the Grind?

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

In 2024, beer at the Oktoberfest in Munich in Germany cost from 13.6 to 15.3 euros. The lowest value recorded an increase of one euro versus 2023. The highest increases since the beginning of the 2000s took place after the COVID-19 pandemic.

Graph and download economic data for Producer Price Index by Industry: Beer, Wine, and Liquor Retailers (PCU4453144531) from Jun 2000 to May 2025 about spirits, wine, beer, PPI, industry, inflation, price index, indexes, price, and USA.

Russia Consumer Price Index (CPI): Same Mth PY=100: Alcoholic Beverages: Beer: Domestic data was reported at 101.920 Same Mth PY=100 in Dec 2018. This records an increase from the previous number of 101.830 Same Mth PY=100 for Nov 2018. Russia Consumer Price Index (CPI): Same Mth PY=100: Alcoholic Beverages: Beer: Domestic data is updated monthly, averaging 111.435 Same Mth PY=100 from Jan 1995 (Median) to Dec 2018, with 276 observations. The data reached an all-time high of 341.880 Same Mth PY=100 in Jun 1995 and a record low of 101.830 Same Mth PY=100 in Nov 2018. Russia Consumer Price Index (CPI): Same Mth PY=100: Alcoholic Beverages: Beer: Domestic data remains active status in CEIC and is reported by Federal State Statistics Service. The data is categorized under Russia Premium Database’s Inflation – Table RU.IA014: Consumer Price Index: Same Month Previous Year=100: Food.

Russia Consumer Price Index (CPI): Weights: Food: Alcoholic Beverages: Beer data was reported at 1.210 % in 2019. This records an increase from the previous number of 1.186 % for 2018. Russia Consumer Price Index (CPI): Weights: Food: Alcoholic Beverages: Beer data is updated yearly, averaging 1.308 % from Dec 2012 (Median) to 2019, with 8 observations. The data reached an all-time high of 1.434 % in 2013 and a record low of 1.186 % in 2018. Russia Consumer Price Index (CPI): Weights: Food: Alcoholic Beverages: Beer data remains active status in CEIC and is reported by Federal State Statistics Service. The data is categorized under Russia Premium Database’s Inflation – Table RU.IA027: Consumer Price Index: Weights.