Graph and download economic data for Inflation, consumer prices for the United States (FPCPITOTLZGUSA) from 1960 to 2024 about consumer, CPI, inflation, price index, indexes, price, and USA.

Cost of food in the United States increased 3.10 percent in September of 2025 over the same month in the previous year. This dataset provides the latest reported value for - United States Food Inflation - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

Energy Inflation in the United States increased to 2.80 percent in September from 0.20 percent in August of 2025. This dataset includes a chart with historical data for the United States Energy Inflation.

In economics, the inflation rate is a measure of the change in price of a basket of goods. The most common measure being the consumer price index. It is the percentage rate of change in price level over time, and also indicates the rate of decrease in the purchasing power of money. The annual rate of inflation for 2023, was 4.1 percent higher in the United States when compared to the previous year. More information on inflation and the consumer price index can be found on our dedicated topic page. Additionally, the monthly rate of inflation in the United States can be accessed here. Inflation and purchasing power Inflation is a key economic indicator, and gives economists and consumers alike a look at changes in prices in the wider economy. For example, if an average pair of socks costs 100 dollars one year and 105 dollars the following year, the inflation rate is five percent. This means the amount of goods an individual can purchase with a unit of currency has decreased. This concept is often referred to as purchasing power. The data presents the average rate of inflation in a year, whereas the monthly measure of inflation measures the change in prices compared with prices one year ago. For example, monthly inflation in the U.S. reached a peak in June 2022 at 9.1 percent. This means that prices were 9.1 percent higher than they were in June of 2021. The purchasing power is the extent to which a person has available funds to make purchases. The Big Mac Index has been published by The Economist since 1986 and exemplifies purchasing power on a global scale, allowing us to see note the differences between different countries currencies. Switzerland for example, has the most expensive Big Mac in the world, costing consumers 6.71 U.S. dollars as of July 2022, whereas a Big Mac cost 5.15 dollars in the United States, and 4.77 dollars in the Euro area. One of the most important tools in influencing the rate of inflation is interest rates. The Federal Reserve of the United States has the capacity to make changes to the federal interest rate . Changes to the rate of inflation are thought to be an imbalance between supply and demand. After COVID-19 related lockdowns came to an end there was a sudden increase in demand for goods and services with consumers having more funds than usual thanks to reduced spending during lockdown and government funded economic support. Additionally, supply-chain related bottlenecks also due to lockdowns around the world and the Russian invasion of Ukraine meant that there was a decrease in the supply of goods and services. By increasing the interest rate, the Federal Reserve aims to reduce spending, and thus bring demand back into balance with supply.

This dataset includes various economic indicators such as stock market performance, inflation rates, GDP, interest rates, employment data, and housing index, all of which are crucial for understanding the state of the economy. By analysing this dataset, one can gain insights into the causes and effects of past recessions in the US, which can inform investment decisions and policy-making.

There are 20 columns and 343 rows spanning 1990-04 to 2022-10

The columns are:

1. Price: Price column refers to the S&P 500 lot price over the years. The S&P 500 is a stock market index that measures the performance of 500 large companies listed on stock exchanges in the United States. This variable represents the value of the S&P 500 index from 1980 to present. Industrial Production: This variable measures the output of industrial establishments in the manufacturing, mining, and utilities sectors. It reflects the overall health of the manufacturing industry, which is a key component of the US economy.

2. INDPRO: Industrial production measures the output of the manufacturing, mining, and utility sectors of the economy. It provides insights into the overall health of the economy, as a decline in industrial production can indicate a slowdown in economic activity. This data can be used by policymakers and investors to assess the state of the economy and make informed decisions.

3. CPI: CPI stands for Consumer Price Index, which measures the change in the prices of a basket of goods and services that consumers purchase. CPI inflation represents the rate at which the prices of goods and services in the economy are increasing.

4. Treasure Bill rate (3 month to 30 Years): Treasury bills (T-bills) are short-term debt securities issued by the US government. This variable represents the interest rates on T-bills with maturities ranging from 3 months to 30 years. It reflects the cost of borrowing money for the government and provides an indication of the overall level of interest rates in the economy.

5. GDP: GDP stands for Gross Domestic Product, which is the value of all goods and services produced in a country. This dataset is taking into account only the Nominal GDP values. Nominal GDP represents the total value of goods and services produced in the US economy without accounting for inflation.

6. Rate: The Federal Funds Rate is the interest rate at which depository institutions lend reserve balances to other depository institutions overnight. It is set by the Federal Reserve and is used as a tool to regulate the money supply in the economy.

7. BBK_Index: The BBKI are maintained and produced by the Indiana Business Research Center at the Kelley School of Business at Indiana University. The BBK Coincident and Leading Indexes and Monthly GDP Growth for the U.S. are constructed from a collapsed dynamic factor analysis of a panel of 490 monthly measures of real economic activity and quarterly real GDP growth. The BBK Leading Index is the leading subcomponent of the cycle measured in standard deviation units from trend real GDP growth.

8. Housing Index: This variable represents the value of the housing market in the US. It is calculated based on the prices of homes sold in the market and provides an indication of the overall health of the housing market.

9. Recession binary column: This variable is a binary indicator that takes a value of 1 when the US economy is in a recession and 0 otherwise. It is based on the official business cycle dates provided by the National Bureau of Economic Research.

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

Inflation Rate in Russia decreased to 7.70 percent in October from 8 percent in September of 2025. This dataset provides - Russia Inflation Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

This data package includes the underlying data files to replicate the data and charts presented in What caused the US pandemic-era inflation? PIIE Working Paper 23-4.

If you use the data, please cite as: Bernanke, Ben, and Olivier Blanchard. 2023. What caused the US pandemic-era inflation? PIIE Working Paper 23-4. Washington, DC: Peterson Institute for International Economics.

Inflation Rate in Brazil decreased to 4.68 percent in October from 5.17 percent in September of 2025. This dataset provides - Brazil Inflation Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

US Turkey Production

US Turkey Production: Value, Pounds, and Turkey Numbers

By Throwback Thursday [source]

About this dataset

The dataset titled Turkey Production in the US: 1984-2016 provides comprehensive information on the value of turkey production, pounds produced, and the number of turkeys raised in the United States. This dataset draws data from the United States Department of Agriculture Economic Research Service (USDA ERS) and covers a period spanning from 1984 to 2016.

This dataset includes multiple columns that offer crucial insights into turkey production trends over time. Firstly, there are columns dedicated to capturing the value of turkey production both in raw monetary terms and after adjusting for inflation. These values are reported in US dollars and serve as indicators of the economic significance and growth within this sector.

Additionally, this dataset presents data on pounds produced, which measures the total weight of turkeys produced within a given year. This information is essential for assessing production levels and fluctuations over time.

Moreover, another key column provides details on turkeys raised annually. This metric represents the total number of turkeys bred or developed during each specific year. By tracking changes in these figures across different years, it becomes possible to discern patterns related to turkey farming practices or industry demand.

In summary, this extensive dataset offers rich insights into various aspects relating to turkey production in the United States between 1984 and 2016. It covers significant variables such as value of production (adjusted for inflation), pounds produced, and number of turkeys raised throughout these years. With such detailed data available within this dataset, researchers can delve into analyzing historical trends while policymakers can make well-informed decisions based on an understanding of past developments in this crucial industry sector

How to use the dataset

This dataset provides information on the value of turkey production, pounds produced, and the number of turkeys raised in the United States from 1984 to 2016. It can be used for analysis or research purposes related to turkey production trends and patterns over this period.

Here's a guide on how to effectively utilize this dataset:

• Understanding the Columns:

  • Year: This column represents the year in which the data was recorded.
  • Value of Production: This column shows the total value of turkey production in dollars for a given year.
  • Value of Production - Inflation Adjusted: This column provides an adjusted value of turkey production, taking inflation into account.
  • Pounds Produced: This column displays the total weight of turkeys produced in pounds for a given year.
  • Turkeys Raised: This column indicates the total number of turkeys raised for a given year.

• Analyzing Turkey Production Trends: You can analyze how turkey production has changed over time by examining each variable individually or comparing them with each other. For example:

  • Plotting Year against Value of Production will give you an overview of how turkey production's value has evolved over the years.
  • Analyzing Pounds Produced and Turkeys Raised together could provide insights into productivity per bird.

• Identifying Factors Affecting Turkey Production: Use this dataset to investigate factors that may have influenced changes in turkey production from 1984-2016. Consider exploring these questions:

  • Are there any notable spikes or declines in value, pounds produced, or turkeys raised? What could be causing these patterns?
  • How does inflation-adjusted value differ from nominal value? Can you identify any trends related to economic conditions?

• Comparing Data Across Years: By grouping data by specific years or sets of years, you can make comparisons and identify trends. Some potential questions to explore include:

  • How has turkey production changed before and after significant events, such as economic recessions or disease outbreaks?
  • Have there been any notable shifts in turkey production methods or technology that may have affected the industry's performance?

• Potential Applications:

  • Researchers: This dataset can be valuable for researchers studying the economics and market dynamics of turkey production in the United States. You can use these data points to analyze long-term trends, identify influential factors, and develop predictive models.
  • Investors: Investors interested in the agriculture

Research Ideas

• Analyzing Trends: This dataset can be used to an...

Inflation Rate in Turkey decreased to 32.87 percent in October from 33.29 percent in September of 2025. This dataset provides the latest reported value for - Turkey Inflation Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

Inflation Rate in Japan increased to 3 percent in October from 2.90 percent in September of 2025. 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.

US Recorded Music Revenue by Format

Recorded music revenue in the US by format and week 10

By Throwback Thursday [source]

About this dataset

This dataset offers a comprehensive analysis of the recorded music revenue in the United States, specifically focusing on the 10th week of the year. The data is meticulously categorized based on different formats, shedding light on the diverse ways in which music is consumed and purchased by individuals. The dataset includes key columns that provide relevant information, such as Format, Year, Units, Revenue, and Revenue (Inflation Adjusted). These columns offer valuable insights into the specific format of music being consumed or purchased, the respective year in which this data was recorded, the number of units of music sold within each format category, and both the total revenue generated from sales and its corresponding inflation-adjustment amount. By analyzing this dataset with its extensive range of information about recorded music revenue in various formats during a specific week within a given year in the United States market context can help derive meaningful patterns and trends for industry professionals to make informed decisions regarding marketing strategies or investments

How to use the dataset

Introduction:

• Familiarize Yourself with Columns:

  • Format: This column categorizes how music is consumed or purchased.
  • Year: This column represents the year when each data point was recorded.
  • Units: The number of units of music sold within a particular format during a given week.
  • Revenue: The total revenue generated from sales of music within a specific format during a given week.
  • Revenue (Inflation Adjusted): The total revenue generated from sales of music adjusted for inflation within a specific format during a given week.

• Understanding Categorical Formats: In this dataset, formats refer to different ways in which music is consumed or purchased. Examples include physical formats like CDs and vinyl records, as well as digital formats such as downloads and streaming services.

• Analyzing Trends over Time: By exploring data across multiple years, you can identify trends and patterns related to how formats have evolved over time. Use statistical techniques or visualization tools like line graphs or bar charts to gain insights into any fluctuations or consistent growth.

• Comparing Units Sold vs Revenue Generated: Analyze both units sold and revenue generated columns simultaneously to understand if there are any significant differences between different formats' popularity versus their financial performance.

• Examining Adjusted Revenue for Inflation Effects: Comparison between Revenue and Revenue (Inflation Adjusted) can provide insights into whether changes in revenue are due solely to changes in purchasing power caused by inflation or influenced by other factors affecting format popularity.

• Identifying Format Preferences: Explore how units and revenue differ across various formats to determine whether consumer preferences are shifting towards digital formats or experiencing a resurgence in physical formats like vinyl.

• Comparing Revenue Performance Between Formats: Use statistical analysis or data visualization techniques to compare revenue performance between different formats. Identify which format generates the highest revenue and whether there have been any changes in dominance over time.

• Supplementary Research Opportunities: Combine this dataset with external sources on music industry trends, technological advancements, or major events like album releases to gain a deeper understanding of the factors influencing recorded music sales

Research Ideas

• Trend analysis: This dataset can be used to analyze the trends in recorded music revenue by format over the years. By examining the revenue and units sold for each format, one can identify which formats are growing in popularity and which ones are declining.
• Comparison of revenue vs inflation-adjusted revenue: The dataset includes both total revenue and inflation-adjusted revenue for each format. This allows for a comparison of the actual revenue generated with the potential impact of inflation on that revenue. It can provide insights into whether the increase or decrease in revenue is solely due to changes in market demand or if it is influenced by changes in purchasing power.
• Format preference analysis: By analyzing the units sold for each format, one can identify which formats are preferred by consumers during a particular week. This information can be useful for music industry professionals and marketers to under...

Inflation Rate in Argentina decreased to 31.30 percent in October from 31.80 percent in September of 2025. This dataset provides the latest reported value for - Argentina Inflation Rate - 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 Personal Saving Rate (PSAVERT) from Jan 1959 to Aug 2025 about savings, personal, rate, and USA.

Graph and download economic data for Dates of U.S. recessions as inferred by GDP-based recession indicator (JHDUSRGDPBR) from Q4 1967 to Q1 2025 about recession indicators, GDP, and USA.

Inflation Rate in China increased to 0.20 percent in October from -0.30 percent in September of 2025. This dataset provides - China Inflation Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Inflation Rate in Mexico decreased to 3.57 percent in October from 3.76 percent in September of 2025. This dataset provides - Mexico Inflation Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Inflation Rate in Germany remained unchanged at 2.30 percent in November. This dataset provides the latest reported value for - Germany Inflation Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

Inflation Rate in Vietnam decreased to 3.25 percent in October from 3.38 percent in September 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.