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.

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.

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Monthly and long-term Mexico Inflation data: historical series and analyst forecasts curated by FocusEconomics.

Inflation is generally defined as the continued increase in the average prices of goods and services in a given region. Following the extremely high global inflation experienced in the 1980s and 1990s, global inflation has been relatively stable since the turn of the millennium, usually hovering between three and five percent per year. There was a sharp increase in 2008 due to the global financial crisis now known as the Great Recession, but inflation was fairly stable throughout the 2010s, before the current inflation crisis began in 2021. Recent years Despite the economic impact of the coronavirus pandemic, the global inflation rate fell to 3.26 percent in the pandemic's first year, before rising to 4.66 percent in 2021. This increase came as the impact of supply chain delays began to take more of an effect on consumer prices, before the Russia-Ukraine war exacerbated this further. A series of compounding issues such as rising energy and food prices, fiscal instability in the wake of the pandemic, and consumer insecurity have created a new global recession, and global inflation in 2024 is estimated to have reached 5.76 percent. This is the highest annual increase in inflation since 1996. Venezuela Venezuela is the country with the highest individual inflation rate in the world, forecast at around 200 percent in 2022. While this is figure is over 100 times larger than the global average in most years, it actually marks a decrease in Venezuela's inflation rate, which had peaked at over 65,000 percent in 2018. Between 2016 and 2021, Venezuela experienced hyperinflation due to the government's excessive spending and printing of money in an attempt to curve its already-high inflation rate, and the wave of migrants that left the country resulted in one of the largest refugee crises in recent years. In addition to its economic problems, political instability and foreign sanctions pose further long-term problems for Venezuela. While hyperinflation may be coming to an end, it remains to be seen how much of an impact this will have on the economy, how living standards will change, and how many refugees may return in the coming years.

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.

Inflation Rate in Morocco decreased to 0.10 percent in October from 0.40 percent in September of 2025. This dataset provides - Morocco Inflation Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

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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.

Monthly and long-term Argentina Inflation data: historical series and analyst forecasts curated by FocusEconomics.

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.

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.

Monthly and long-term Saudi Arabia Inflation data: historical series and analyst forecasts curated by FocusEconomics.

Monthly and long-term Peru Inflation data: historical series and analyst forecasts curated by FocusEconomics.

Monthly and long-term Korea Inflation data: historical series and analyst forecasts curated by FocusEconomics.

As Table 8 but for the 2nd 3-variate system including the core CPI inflation.

Inflation Rate in Venezuela increased to 172 percent in April from 136 percent in March of 2025. This dataset provides - Venezuela 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 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.