Consumer Price Index (CPI) in India, May, 2025 The most recent value is 193 index points as of May 2025, an increase compared to the previous value of 192.6 index points. Historically, the average for India from January 2011 to May 2025 is 140.6514 index points. The minimum of 88.4 index points was recorded in February 2011, while the maximum of 196.8 index points was reached in October 2024. | TheGlobalEconomy.com

Consumer Price Index CPI in India increased to 193 points in May from 192.60 points in April of 2025. This dataset provides - India Consumer Price Index (CPI) - actual values, historical data, forecast, chart, statistics, economic calendar and news.

United States FRBOP Forecast: Core(CPI) Consumer Price IndexInflation: sa: Median: Plus 4 Qtrs data was reported at 2.400 % in Jun 2018. This records an increase from the previous number of 2.300 % for Mar 2018. United States FRBOP Forecast: Core(CPI) Consumer Price IndexInflation: sa: Median: Plus 4 Qtrs data is updated quarterly, averaging 2.053 % from Mar 2007 (Median) to Jun 2018, with 46 observations. The data reached an all-time high of 2.400 % in Jun 2018 and a record low of 1.500 % in Dec 2009. United States FRBOP Forecast: Core(CPI) Consumer Price IndexInflation: sa: Median: Plus 4 Qtrs data remains active status in CEIC and is reported by Federal Reserve Bank of Philadelphia. The data is categorized under Global Database’s USA – Table US.I008: Consumer Price Index: Urban: sa: Forecast: Federal Reserve Bank of Philadelphia.

Consumer Price Index CPI in Pakistan increased to 264.22 points in June from 263.60 points in May of 2025. This dataset provides - Pakistan Consumer Price Index (CPI) - actual values, historical data, forecast, chart, statistics, economic calendar and news.

CPI: Prev Month=100: RC: AV: Recording Media data was reported at 99.000 Prev Mth=100 in Jun 2018. This records a decrease from the previous number of 100.000 Prev Mth=100 for May 2018. CPI: Prev Month=100: RC: AV: Recording Media data is updated monthly, averaging 99.700 Prev Mth=100 from Jan 2007 (Median) to Jun 2018, with 138 observations. The data reached an all-time high of 101.000 Prev Mth=100 in Jun 2017 and a record low of 97.900 Prev Mth=100 in Feb 2017. CPI: Prev Month=100: RC: AV: Recording Media data remains active status in CEIC and is reported by Hungarian Central Statistical Office. The data is categorized under Global Database’s Hungary – Table HU.I005: Consumer Price Index: COICOP: Previous Month=100.

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.

What happens to gold if CPI increases?

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

Average weekly earnings for the whole economy, for total and regular pay, in real terms (adjusted for consumer price inflation), UK, monthly, seasonally adjusted.

Belgium Consumer Price Index (CPI): Weights: LC: AP: Recording Media data was reported at 0.875 Per 1000 in 2025. This records an increase from the previous number of 0.863 Per 1000 for 2024. Belgium Consumer Price Index (CPI): Weights: LC: AP: Recording Media data is updated yearly, averaging 1.169 Per 1000 from Dec 2006 (Median) to 2025, with 15 observations. The data reached an all-time high of 5.170 Per 1000 in 2010 and a record low of 0.817 Per 1000 in 2023. Belgium Consumer Price Index (CPI): Weights: LC: AP: Recording Media data remains active status in CEIC and is reported by Directorate-General Statistics - Statistics Belgium. The data is categorized under Global Database’s Belgium – Table BE.I010: Consumer Price Index: Weights.

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.

Surging Services: Will Dow Jones CPI Signal Continued Consumer Strength?

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

CPI: Weights: RC: AP: Recording Media data was reported at 0.851 Per 1000 in 2025. This records a decrease from the previous number of 0.987 Per 1000 for 2024. CPI: Weights: RC: AP: Recording Media data is updated yearly, averaging 1.283 Per 1000 from Dec 2017 (Median) to 2025, with 9 observations. The data reached an all-time high of 1.447 Per 1000 in 2017 and a record low of 0.851 Per 1000 in 2025. CPI: Weights: RC: AP: Recording Media data remains active status in CEIC and is reported by National Statistics Institute. The data is categorized under Global Database’s Spain – Table ES.I017: Consumer Price Index: Weights.

Macau Composite Consumer Price Index (CPI): RC: AV: Recording Media data was reported at 113.818 Jul2004-Jun2005=100 in Sep 2009. This records an increase from the previous number of 112.762 Jul2004-Jun2005=100 for Aug 2009. Macau Composite Consumer Price Index (CPI): RC: AV: Recording Media data is updated monthly, averaging 103.447 Jul2004-Jun2005=100 from Jan 2006 (Median) to Sep 2009, with 45 observations. The data reached an all-time high of 113.818 Jul2004-Jun2005=100 in Sep 2009 and a record low of 97.000 Jul2004-Jun2005=100 in Feb 2006. Macau Composite Consumer Price Index (CPI): RC: AV: Recording Media data remains active status in CEIC and is reported by Statistics and Census Service. The data is categorized under Global Database’s Macau – Table MO.I019: Composite Consumer Price Index: July 04- June 05=100.

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.

What is cpi?

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

Ireland Consumer Price Index (CPI): AV: Recording Media data was reported at 83.100 Dec2001=100 in Dec 2006. This records an increase from the previous number of 82.300 Dec2001=100 for Nov 2006. Ireland Consumer Price Index (CPI): AV: Recording Media data is updated monthly, averaging 92.300 Dec2001=100 from Jan 2002 (Median) to Dec 2006, with 59 observations. The data reached an all-time high of 102.100 Dec2001=100 in Sep 2002 and a record low of 82.300 Dec2001=100 in Nov 2006. Ireland Consumer Price Index (CPI): AV: Recording Media data remains active status in CEIC and is reported by Central Statistics Office of Ireland. The data is categorized under Global Database’s Ireland – Table IE.I008: Consumer Price Index: Dec2001=100.

Croatia Consumer Price Index (CPI): Same Mth PY=100: RC: AV: Recording Media for Pictures & Sound data was reported at 101.300 Same Mth PY=100 in Mar 2025. This records an increase from the previous number of 100.900 Same Mth PY=100 for Feb 2025. Croatia Consumer Price Index (CPI): Same Mth PY=100: RC: AV: Recording Media for Pictures & Sound data is updated monthly, averaging 97.950 Same Mth PY=100 from Jun 2004 (Median) to Mar 2025, with 250 observations. The data reached an all-time high of 105.700 Same Mth PY=100 in Jul 2022 and a record low of 90.800 Same Mth PY=100 in Apr 2021. Croatia Consumer Price Index (CPI): Same Mth PY=100: RC: AV: Recording Media for Pictures & Sound data remains active status in CEIC and is reported by Croatian Bureau of Statistics. The data is categorized under Global Database’s Croatia – Table HR.I009: Consumer Price Index: Same Month Previous Year=100.

In 2023, the usual median hourly rate of a worker's wage in the United States was 19.24 U.S. dollars, a decrease from the previous year. Dollar value is based on 2023 U.S. dollars. In 1979, the median hourly earnings in the U.S. was 17.48 dollars.

Luxembourg Consumer Price Index (CPI): Weights: RC: Press Bookshop and Stationery: Newspapers and Periodicals data was reported at 6.900 Per 1000 in 2018. This records a decrease from the previous number of 7.100 Per 1000 for 2017. Luxembourg Consumer Price Index (CPI): Weights: RC: Press Bookshop and Stationery: Newspapers and Periodicals data is updated yearly, averaging 8.000 Per 1000 from Dec 2000 (Median) to 2018, with 19 observations. The data reached an all-time high of 13.200 Per 1000 in 2001 and a record low of 3.100 Per 1000 in 2009. Luxembourg Consumer Price Index (CPI): Weights: RC: Press Bookshop and Stationery: Newspapers and Periodicals data remains active status in CEIC and is reported by The Portal of Statistics of Luxembourg. The data is categorized under Global Database’s Luxembourg – Table LU.I006: Consumer Price Index: Weights.

Luxembourg Consumer Price Index (CPI): Weights: RC: Press Bookshop and Stationery data was reported at 11.700 Per 1000 in 2018. This records an increase from the previous number of 11.500 Per 1000 for 2017. Luxembourg Consumer Price Index (CPI): Weights: RC: Press Bookshop and Stationery data is updated yearly, averaging 20.100 Per 1000 from Dec 1995 (Median) to 2018, with 24 observations. The data reached an all-time high of 27.100 Per 1000 in 2001 and a record low of 8.800 Per 1000 in 2009. Luxembourg Consumer Price Index (CPI): Weights: RC: Press Bookshop and Stationery data remains active status in CEIC and is reported by The Portal of Statistics of Luxembourg. The data is categorized under Global Database’s Luxembourg – Table LU.I006: Consumer Price Index: Weights.

Finland Consumer Price Index (CPI): Weights: RC: AD: Recording media data was reported at 0.121 % in 2025. This records a decrease from the previous number of 0.142 % for 2024. Finland Consumer Price Index (CPI): Weights: RC: AD: Recording media data is updated yearly, averaging 0.127 % from Dec 2016 (Median) to 2025, with 10 observations. The data reached an all-time high of 0.165 % in 2021 and a record low of 0.101 % in 2018. Finland Consumer Price Index (CPI): Weights: RC: AD: Recording media data remains active status in CEIC and is reported by Statistics Finland. The data is categorized under Global Database’s Finland – Table FI.I014: Consumer Price Index: Weights.

Germany Consumer Price Index (CPI): Weights: RC: AE: Recording Media data was reported at 1.990 Per 1000 in Jul 2025. This stayed constant from the previous number of 1.990 Per 1000 for Jun 2025. Germany Consumer Price Index (CPI): Weights: RC: AE: Recording Media data is updated monthly, averaging 3.400 Per 1000 from Jan 2000 (Median) to Jul 2025, with 307 observations. The data reached an all-time high of 3.400 Per 1000 in Dec 2012 and a record low of 1.990 Per 1000 in Jul 2025. Germany Consumer Price Index (CPI): Weights: RC: AE: Recording Media data remains active status in CEIC and is reported by Statistisches Bundesamt. The data is categorized under Global Database’s Germany – Table DE.I031: Consumer Price Index: Weights.

Ecuador Consumer Price Index (CPI): RC: AE: Recording Media (RM) data was reported at 95.451 2004=100 in Dec 2014. This stayed constant from the previous number of 95.451 2004=100 for Nov 2014. Ecuador Consumer Price Index (CPI): RC: AE: Recording Media (RM) data is updated monthly, averaging 94.114 2004=100 from Jan 2005 (Median) to Dec 2014, with 120 observations. The data reached an all-time high of 100.187 2004=100 in Dec 2011 and a record low of 84.321 2004=100 in Aug 2008. Ecuador Consumer Price Index (CPI): RC: AE: Recording Media (RM) data remains active status in CEIC and is reported by National Institute of Statistics and Census. The data is categorized under Global Database’s Ecuador – Table EC.I016: Consumer Price Index: 2004=100.