Graph and download economic data for Dow Jones Utility Average (DJUA) from 2015-06-22 to 2025-06-20 about utilities, stock market, average, and USA.

The Dow Jones U.S. Utilities index is predicted to experience a moderate increase. This prediction is based on the index's historical performance and current economic conditions. However, there are some risks associated with this prediction, including interest rate changes and economic uncertainty.

Graph and download economic data for Consumer Price Index for All Urban Consumers: Fuels and Utilities in U.S. City Average (CUUR0000SAH2) from Dec 1952 to May 2025 about utilities, fuels, urban, consumer, CPI, inflation, price index, indexes, price, and USA.

United States - Consumer Price Index for All Urban Consumers: Fuels and Utilities in U.S. City Average was 327.07700 Index 1982-84=100 in March of 2025, according to the United States Federal Reserve. Historically, United States - Consumer Price Index for All Urban Consumers: Fuels and Utilities in U.S. City Average reached a record high of 327.07700 in March of 2025 and a record low of 22.20000 in January of 1953. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Consumer Price Index for All Urban Consumers: Fuels and Utilities in U.S. City Average - last updated from the United States Federal Reserve on July of 2025.

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.

Utilities Sector Poised for Steady Growth, Analyst Forecasts for Dow Jones U.S. Utilities index

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 Index: Dow Jones: Utilities Average data was reported at 711.640 02Jan1929=85.64 in Jun 2018. This records an increase from the previous number of 695.210 02Jan1929=85.64 for May 2018. United States Index: Dow Jones: Utilities Average data is updated monthly, averaging 163.675 02Jan1929=85.64 from Jan 1953 (Median) to Jun 2018, with 786 observations. The data reached an all-time high of 770.390 02Jan1929=85.64 in Nov 2017 and a record low of 48.540 02Jan1929=85.64 in Jun 1953. United States Index: Dow Jones: Utilities Average data remains active status in CEIC and is reported by Dow Jones. The data is categorized under Global Database’s USA – Table US.Z015: Dow Jones: Indexes.

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.

Will the Utilities Index Power Through?

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 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.

Utilities Index: Will Stability Prevail?

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 - Indexes of Aggregate Weekly Payrolls of All Employees, Utilities was 187.20000 Index 2007=100 in April of 2025, according to the United States Federal Reserve. Historically, United States - Indexes of Aggregate Weekly Payrolls of All Employees, Utilities reached a record high of 193.10000 in October of 2024 and a record low of 92.90000 in March of 2006. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Indexes of Aggregate Weekly Payrolls of All Employees, Utilities - last updated from the United States Federal Reserve on July of 2025.

Russia US Dollar Denominated Indices: Electric Utilities Index data was reported at 66.980 11Jan2005=100 in Jan 2019. This records an increase from the previous number of 58.400 11Jan2005=100 for Dec 2018. Russia US Dollar Denominated Indices: Electric Utilities Index data is updated monthly, averaging 107.500 11Jan2005=100 from Jan 2005 (Median) to Jan 2019, with 169 observations. The data reached an all-time high of 466.780 11Jan2005=100 in Dec 2007 and a record low of 28.690 11Jan2005=100 in Jan 2015. Russia US Dollar Denominated Indices: Electric Utilities Index data remains active status in CEIC and is reported by Moscow Exchange. The data is categorized under Global Database’s Russian Federation – Table RU.ZA001: Moscow Exchange: Indices Denominated in USD.

United States Index: Standard & Poors: Utilities data was reported at 272.380 1941-1943=10 in Oct 2018. This records an increase from the previous number of 267.280 1941-1943=10 for Sep 2018. United States Index: Standard & Poors: Utilities data is updated monthly, averaging 127.560 1941-1943=10 from Jan 1983 (Median) to Oct 2018, with 430 observations. The data reached an all-time high of 285.520 1941-1943=10 in Nov 2017 and a record low of 14.820 1941-1943=10 in Jul 1984. United States Index: Standard & Poors: Utilities data remains active status in CEIC and is reported by Standard & Poor's. The data is categorized under Global Database’s United States – Table US.Z016: Standard & Poors: US Indexes.

France Index: ICB: CAC Utilities data was reported at 1,437.940 30Nov2005=1000 in Oct 2018. This records a decrease from the previous number of 1,449.140 30Nov2005=1000 for Sep 2018. France Index: ICB: CAC Utilities data is updated monthly, averaging 776.735 30Nov2005=1000 from Dec 1998 (Median) to Oct 2018, with 216 observations. The data reached an all-time high of 1,946.920 30Nov2005=1000 in Dec 2007 and a record low of 446.160 30Nov2005=1000 in Jan 2017. France Index: ICB: CAC Utilities data remains active status in CEIC and is reported by Euronext. The data is categorized under Global Database’s France – Table FR.Z001: Euronext: Market Index.

United States - Producer Price Index by Industry: Utilities was 186.19000 Index Dec 2003=100 in May of 2025, according to the United States Federal Reserve. Historically, United States - Producer Price Index by Industry: Utilities reached a record high of 293.50000 in February of 2021 and a record low of 100.00000 in December of 2003. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Producer Price Index by Industry: Utilities - last updated from the United States Federal Reserve on July of 2025.

China Index: CSI 300 Index: Utilities data was reported at 2,610.289 31Dec2004=1000 in Apr 2025. This records an increase from the previous number of 2,526.053 31Dec2004=1000 for Mar 2025. China Index: CSI 300 Index: Utilities data is updated monthly, averaging 1,862.947 31Dec2004=1000 from Jul 2007 (Median) to Apr 2025, with 214 observations. The data reached an all-time high of 3,608.440 31Dec2004=1000 in Sep 2007 and a record low of 1,142.540 31Dec2004=1000 in Jan 2014. China Index: CSI 300 Index: Utilities data remains active status in CEIC and is reported by China Securities Index Co., Ltd.. The data is categorized under China Premium Database’s Financial Market – Table CN.ZA: China Securities Index .

United States Index: Dow Jones: Utilities data was reported at 263.240 31Dec1991=100 in Jun 2018. This records an increase from the previous number of 257.650 31Dec1991=100 for May 2018. United States Index: Dow Jones: Utilities data is updated monthly, averaging 184.310 31Dec1991=100 from Aug 2005 (Median) to Jun 2018, with 155 observations. The data reached an all-time high of 282.780 31Dec1991=100 in Nov 2017 and a record low of 118.000 31Dec1991=100 in Feb 2009. United States Index: Dow Jones: Utilities data remains active status in CEIC and is reported by Dow Jones. The data is categorized under Global Database’s USA – Table US.Z015: Dow Jones: Indexes.

United States PPI: Utilities: PG: PT: ED: PP: Commercial Electric Power (CE) data was reported at 228.034 Dec1990=100 in Mar 2025. This records an increase from the previous number of 227.991 Dec1990=100 for Feb 2025. United States PPI: Utilities: PG: PT: ED: PP: Commercial Electric Power (CE) data is updated monthly, averaging 104.300 Dec1990=100 from Jan 1958 (Median) to Mar 2025, with 807 observations. The data reached an all-time high of 240.416 Dec1990=100 in Jun 2024 and a record low of 24.700 Dec1990=100 in Nov 1966. United States PPI: Utilities: PG: PT: ED: PP: Commercial Electric Power (CE) data remains active status in CEIC and is reported by U.S. Bureau of Labor Statistics. The data is categorized under Global Database’s United States – Table US.I082: Producer Price Index: by Industry: Utilities and Construction.

United States New York Stock Exchange: Index: S&P 500 Utilities Sector data was reported at 400.990 NA in Apr 2025. This records an increase from the previous number of 400.810 NA for Mar 2025. United States New York Stock Exchange: Index: S&P 500 Utilities Sector data is updated monthly, averaging 293.950 NA from Aug 2013 (Median) to Apr 2025, with 141 observations. The data reached an all-time high of 418.720 NA in Nov 2024 and a record low of 188.440 NA in Aug 2013. United States New York Stock Exchange: Index: S&P 500 Utilities Sector data remains active status in CEIC and is reported by Exchange Data International Limited. The data is categorized under Global Database’s United States – Table US.EDI.SE: New York Stock Exchange: S&P: Monthly.

United States - Consumer Price Index for All Urban Wage Earners and Clerical Workers: Fuels and Utilities in U.S. City Average was 324.74700 Index 1982-84=100 in March of 2025, according to the United States Federal Reserve. Historically, United States - Consumer Price Index for All Urban Wage Earners and Clerical Workers: Fuels and Utilities in U.S. City Average reached a record high of 324.74700 in March of 2025 and a record low of 22.10000 in December of 1952. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Consumer Price Index for All Urban Wage Earners and Clerical Workers: Fuels and Utilities in U.S. City Average - last updated from the United States Federal Reserve on July of 2025.

United States - Indexes of Aggregate Weekly Hours of All Employees, Utilities was 108.30000 Index 2007=100 in April of 2025, according to the United States Federal Reserve. Historically, United States - Indexes of Aggregate Weekly Hours of All Employees, Utilities reached a record high of 111.60000 in October of 2024 and a record low of 96.10000 in March of 2006. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Indexes of Aggregate Weekly Hours of All Employees, Utilities - last updated from the United States Federal Reserve on July of 2025.

Graph and download economic data for Consumer Price Index for All Urban Consumers: Utility (Piped) Gas Service in U.S. City Average (CUUR0000SEHF02) from Mar 1935 to May 2025 about utilities, gas, urban, consumer, services, CPI, price index, indexes, price, and USA.