Consumer Price Index CPI in the United States increased to 320.80 points in April from 319.80 points in March of 2025. This dataset provides the latest reported value for - United States Consumer Price Index (CPI) - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

In 2023, the U.S. Consumer Price Index was 309.42, and is projected to increase to 352.27 by 2029. The base period was 1982-84. The monthly CPI for all urban consumers in the U.S. can be accessed here. After a time of high inflation, the U.S. inflation rateis projected fall to two percent by 2027. United States Consumer Price Index ForecastIt is projected that the CPI will continue to rise year over year, reaching 325.6 in 2027. The Consumer Price Index of all urban consumers in previous years was lower, and has risen every year since 1992, except in 2009, when the CPI went from 215.30 in 2008 to 214.54 in 2009. The monthly unadjusted Consumer Price Index was 296.17 for the month of August in 2022. The U.S. CPI measures changes in the price of consumer goods and services purchased by households and is thought to reflect inflation in the U.S. as well as the health of the economy. The U.S. Bureau of Labor Statistics calculates the CPI and defines it as, "a measure of the average change over time in the prices paid by urban consumers for a market basket of consumer goods and services." The BLS records the price of thousands of goods and services month by month. They consider goods and services within eight main categories: food and beverage, housing, apparel, transportation, medical care, recreation, education, and other goods and services. They aggregate the data collected in order to compare how much it would cost a consumer to buy the same market basket of goods and services within one month or one year compared with the previous month or year. Given that the CPI is used to calculate U.S. inflation, the CPI influences the annual adjustments of many financial institutions in the United States, both private and public. Wages, social security payments, and pensions are all affected by the CPI.

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

Graph and download economic data for Consumer Price Index for All Urban Consumers: All Items Less Food and Energy in U.S. City Average (CPILFESL) from Jan 1957 to Apr 2025 about core, headline figure, all items, urban, consumer, CPI, inflation, price index, indexes, price, and USA.

Inflation Rate in the United States decreased to 2.30 percent in April from 2.40 percent in March of 2025. This dataset provides - United States Inflation Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

FRBOP Forecast: Core CPI Inflation: sa: Mean data was reported at 2.346 % in Mar 2019. This records an increase from the previous number of 2.116 % for Dec 2018. FRBOP Forecast: Core CPI Inflation: sa: Mean data is updated quarterly, averaging 1.873 % from Mar 2007 (Median) to Mar 2019, with 49 observations. The data reached an all-time high of 2.523 % in Sep 2008 and a record low of 0.700 % in Mar 2009. FRBOP Forecast: Core CPI Inflation: sa: Mean data remains active status in CEIC and is reported by Federal Reserve Bank of Philadelphia. The data is categorized under Global Database’s United States – Table US.I008: Consumer Price Index: Urban: sa: Forecast: Federal Reserve Bank of Philadelphia.

This dataset provides values for CONSUMER PRICE INDEX CPI reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.

Consumer Price Index CPI in Thailand increased to 100.40 points in May from 100.14 points in April of 2025. This dataset provides the latest reported value for - Thailand Consumer Price Index (CPI) - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

The graph shows the Consumer Price Index (CPI) in China as of April 2025, by sector and area. That month, the CPI for transportation and communication in urban areas resided at ** index points. Measuring inflation The Consumer Price Index (CPI) is an economic indicator that measures changes in the price level of a representative basket of consumer goods and services. It is calculated by taking price changes for each item in the market basket and averaging them. Goods and services are weighted according to their significance. The CPI can be used to assess the price changes related to the cost of living. It is also useful for identifying periods of inflation and deflation. A significant rise in CPI during a short period of time denotes inflation and a significant drop during a short period of time suggests deflation. Development of inflation in China Annual projections of China’s inflation rate forecast by the IMF estimate a relatively low increase in prices in the coming years. The implications of low inflation are two-fold for a national economy. On the one hand, price levels remain largely stable which may lead to equal or increased spending levels by domestic consumers. On the other hand, low inflation signifies an expansion slowdown of the economy, as is reflected by China’s gross domestic product growth. In recent years, inflation rates in rural areas have on average been slightly higher than in the cities. This reflects a shift of economic growth from the largest cities and coastal regions to the inner provinces and the countryside. Higher price levels in rural areas in turn relate to higher inflation rates of food products.

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

Consumer Price Index CPI in Germany increased to 121.80 points in May from 121.70 points in April of 2025. This dataset provides the latest reported value for - Germany Consumer Price Index (CPI) - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

Key information about US Consumer Price Index CPI growth

• US Consumer Price Index (CPI) growth was measured at 2.8 % YoY in Feb 2025, compared with a rate of 3.0 % in the previous month.
• US Consumer Price Index growth data is updated monthly, available from Jan 1948 to Feb 2025, with an averaged number of 2.9 % YoY.
• The data reached an all-time high of 14.6 % YoY in Mar 1980 and a record low of -3.0 % YoY in Aug 1949.

CEIC calculates Consumer Price Index Growth from monthly Consumer Price Index. U.S. Bureau of Labor Statistics provides Consumer Price Index with base 1982-1984=100. Consumer Price Index covers Urban areas only. [COVID-19-IMPACT]

Consumer Price Index CPI in Hong Kong remained unchanged at 108.60 points in March. This dataset provides the latest reported value for - Hong Kong Consumer Price Index (CPI) - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

Inflation Rate in Vietnam increased to 3.24 percent in May from 3.12 percent in April of 2025. This dataset provides the latest reported value for - Vietnam Inflation Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

In January 2025, gasoline prices were around 0.2 percent lower than in January 2024. The data represents city averages in the United States. The defined base period is: 1982-84=100. CPI is defined by the United States Bureau of Labor Statistics as "a measure of the average change over time in the prices paid by urban consumers for a market basket of consumer goods and services". It is based on prices of food, clothing, shelter, fuels, transportation fares, charges for doctors’ and dentists’ services, drugs, and other goods and services that people buy for day-to-day living. The annual inflation rate in the U.S. since 1990 can be accessed here.

FRBOP Forecast: Core CPI Inflation: sa: Median data was reported at 2.205 % in Jun 2018. This records a decrease from the previous number of 2.241 % for Mar 2018. FRBOP Forecast: Core CPI Inflation: sa: Median data is updated quarterly, averaging 1.899 % from Mar 2007 (Median) to Jun 2018, with 46 observations. The data reached an all-time high of 2.500 % in Sep 2008 and a record low of 0.600 % in Mar 2009. FRBOP Forecast: Core CPI Inflation: sa: Median 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.

FRBOP Forecast: Annual Core CPI Inflation: sa: Mean: Current data was reported at 2.497 % in Jun 2018. This records an increase from the previous number of 2.226 % for Mar 2018. FRBOP Forecast: Annual Core CPI Inflation: sa: Mean: Current data is updated quarterly, averaging 1.964 % from Mar 2007 (Median) to Jun 2018, with 46 observations. The data reached an all-time high of 2.497 % in Jun 2018 and a record low of 0.808 % in Dec 2010. FRBOP Forecast: Annual Core CPI Inflation: sa: Mean: Current 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.

Inflation Rate in Japan remained unchanged at 3.60 percent in April. This dataset provides the latest reported value for - Japan Inflation Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

FRBOP Forecast: Core CPI Inflation: sa: Mean: Plus 1 Qtr data was reported at 2.226 % in Mar 2019. This records a decrease from the previous number of 2.327 % for Dec 2018. FRBOP Forecast: Core CPI Inflation: sa: Mean: Plus 1 Qtr data is updated quarterly, averaging 1.951 % from Mar 2007 (Median) to Mar 2019, with 49 observations. The data reached an all-time high of 2.365 % in Jun 2018 and a record low of 1.127 % in Mar 2009. FRBOP Forecast: Core CPI Inflation: sa: Mean: Plus 1 Qtr data remains active status in CEIC and is reported by Federal Reserve Bank of Philadelphia. The data is categorized under Global Database’s United States – Table US.I008: Consumer Price Index: Urban: sa: Forecast: Federal Reserve Bank of Philadelphia.

Consumer Price Index CPI in Peru decreased to 115.51 points in May from 115.58 points in April of 2025. This dataset provides the latest reported value for - Peru Consumer Price Index (CPI) - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.