Inflation Rate in the United States remained unchanged at 2.40 percent in February. This dataset provides - United States Inflation Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Countries with Highest Inflation. Inflation Rate data for 187 countries worldwide, covering 1960 to 2026. Sourced from World Bank, IMF, and other official statistics.

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 February of 2026 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.

The Consumer Price Index in the United States increased 0.30 percent in February of 2026 over the previous month. This dataset provides - United States Inflation Rate MoM - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Inflation and its perception by the public are often very different. 🏷 While the Central Bank tracks inflation across a wide range of goods, people typically don't buy all of them every day. 💡 This creates a disconnect between the official inflation data and public perception. But is there a correlation between the two? 🤔

This dataset explores the relationship between inflation as reported by the Central Bank of Russia and inflation expectations as captured in surveys conducted by ВЦИОМ (All-Russian Public Opinion Research Center). 📈 By analyzing both sources of data, we can understand how Russians feel about inflation and how their perception compares with the official statistics.

🗓 Dataset Overview:

• Survey Data: 💬 Data collected from surveys asking Russian citizens about their perception of inflation. The survey categorizes inflation into three levels: "Very High," "Moderate," and "Low."

• Central Bank Data: 🏦 Official data published by the Central Bank of Russia, including year-on-year inflation rates and key interest rates.

Inflation Perception Index: 🔢 The perception index is calculated using a weighted average of survey responses:

Index = ( Very High Inflation × 0.9 + Moderate Inflation × 0.5 + Low Inflation × 0.1) / Count without "I don’t know"

📅 Data Collection:

• Survey Data Source: 📊 ВЦИОМ (All-Russian Public Opinion Research Center) conducts regular surveys on inflation perceptions among Russian citizens. The survey data captures public sentiment on inflation in the last month or two.

• Inflation Data Source: 🏛 Central Bank of Russia provides official inflation statistics (year-on-year) and the key interest rate, which are critical for evaluating economic stability. The inflation target is also included in the dataset.

🧮 Key Columns:

• Date 📅: The date corresponding to each data entry.

• Key Rate, % per year 💰: The official interest rate set by the Central Bank of Russia.

• Inflation, % year-on-year 📉: The year-on-year inflation rate reported by the Central Bank.

• Inflation Target 🎯: The official target for inflation set by the Central Bank.

• Survey Responses 🗣: Data from survey questions about inflation perceptions:

  • Very High Inflation (Survey) 🚨

  • Moderate Inflation (Survey) 📊

  • Low Inflation (Survey) 🌱

  • I do not know (Survey) 🤷‍♂️

• Perception Index 🔢: The calculated index reflecting the general perception of inflation among Russians.

📈 Potential Use Cases:

• Economic Research 📚: Analyze the correlation between official inflation rates and public sentiment regarding inflation.

• Policy Evaluation 📊: Assess the effectiveness of the Central Bank's monetary policies in influencing public perceptions of inflation.

• Forecasting 🔮: Build predictive models for inflation expectations based on public sentiment and official statistics.

• Public Sentiment Analysis 💬: Explore how perceptions of inflation impact consumer behavior and business strategies.

📚 Acknowledgments:

Data Sources: 🏦 Central Bank of Russia (CBR) | 📊 ВЦИОМ (Survey Data)

For a quick summary of the case study, please click "US Economy Powerpoint" and download the Powerpoint.

This dataset was inspired by rising prices for essential goods, the abnormally high inflation rate in March of 7.9 percent of this year, and the 30 trillion-dollar debt that we have. I was extremely curious to see how sustainable this is for the average American and if wages are increasing at the same rate to help combat this inflation. This is not politically driven in the slightest nor was this made to put the blame on Americans. This dataset was inspired by rising prices for essential goods and the abnormally high inflation rate in March of 7.9 percent of this year. I was extremely curious to see how sustainable this is for the average American and if wages are increasing at the same rate to help combat this inflation. This is not politically driven in the slightest nor was this made to put the blame on Americans. All of the datasets were obtained from third party sources websites such as https://dqydj.com/household-income-by-year/ and https://www.usinflationcalculator.com/inflation/historical-inflation-rates/ and only excluding https://fred.stlouisfed.org/series/ASPUS, which is first-party data.

This dataset was inspired by rising prices for essential goods and the abnormally high inflation rate in March of 7.9 percent of this year. I was extremely curious to see how sustainable this is for the average American and if wages are increasing at the same rate to help combat this inflation. This is not politically driven in the slightest nor was this made to put the blame on Americans. This dataset was inspired by rising prices for essential goods and the abnormally high inflation rate in March of 7.9 percent of this year. I was extremely curious to see how sustainable this is for the average American and if wages are increasing at the same rate to help combat this inflation. This is not politically driven in the slightest nor was this made to put the blame on Americans. All of the datasets were obtained from third party sources websites such as https://dqydj.com/household-income-by-year/ and https://www.usinflationcalculator.com/inflation/historical-inflation-rates/ and only excluding https://fred.stlouisfed.org/series/ASPUS, which is first-party data.

I labeled all of the datasets to be self-explanatory based off of the title of the datasets. The US Economy Notebook has most of the code that I used as well as the four of the six phases of data analysis. The last two phases are in the US Economy Powerpoint. The "US Historical Inflation Rates" dataset could have also been labeled "The Inflation Of The US Dollar Month By Month". Lastly, the Average Sales of Houses in Jan is just a filtered version of "Average Sales of Houses in the US" dataset.

Inflation Rate in Turkey increased to 31.53 percent in February from 30.65 percent in January of 2026. 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.

Measures of monthly UK inflation data including CPIH, CPI and RPI. These tables complement the consumer price inflation time series dataset.

Inflation Rate in India increased to 3.21 percent in February from 2.74 percent in January of 2026. This dataset provides - India Inflation Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Inflation Rate in Argentina increased to 33.10 percent in February from 32.40 percent in January of 2026. 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.

About this dataset

Context

The dataset presents the distribution of median household income among distinct age brackets of householders in Central High. Based on the latest 2017-2021 5-Year Estimates from the American Community Survey, it displays how income varies among householders of different ages in Central High. It showcases how household incomes typically rise as the head of the household gets older. The dataset can be utilized to gain insights into age-based household income trends and explore the variations in incomes across households.

Key observations: Insights from 2021

In terms of income distribution across age cohorts, in Central High, householders within the 45 to 64 years age group have the highest median household income at $101,336, followed by those in the 25 to 44 years age group with an income of $78,735. Meanwhile householders within the 65 years and over age group report the second lowest median household income of $58,775. Notably, householders within the under 25 years age group, had the lowest median household income at $52,289.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates. All incomes have been adjusting for inflation and are presented in 2022-inflation-adjusted dollars.

Age groups classifications include:

• Under 25 years
• 25 to 44 years
• 45 to 64 years
• 65 years and over

Variables / Data Columns

• Age Of The Head Of Household: This column presents the age of the head of household
• Median Household Income: Median household income, in 2022 inflation-adjusted dollars for the specific age group

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Central High median household income by age. You can refer the same here

About this dataset

Context

The dataset presents the median household income across different racial categories in High Springs. It portrays the median household income of the head of household across racial categories (excluding ethnicity) as identified by the Census Bureau. The dataset can be utilized to gain insights into economic disparities and trends and explore the variations in median houshold income for diverse racial categories.

Key observations

Based on our analysis of the distribution of High Springs population by race & ethnicity, the population is predominantly White. This particular racial category constitutes the majority, accounting for 76.66% of the total residents in High Springs. Notably, the median household income for White households is $90,985. Interestingly, White is both the largest group and the one with the highest median household income, which stands at $90,985.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Racial categories include:

• White
• Black or African American
• American Indian and Alaska Native
• Asian
• Native Hawaiian and Other Pacific Islander
• Some other race
• Two or more races (multiracial)

Variables / Data Columns

• Race of the head of household: This column presents the self-identified race of the household head, encompassing all relevant racial categories (excluding ethnicity) applicable in High Springs.
• Median household income: Median household income, adjusting for inflation, presented in 2023-inflation-adjusted dollars

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for High Springs median household income by race. You can refer the same here

About this dataset

Context

The dataset presents the median household income across different racial categories in Max. It portrays the median household income of the head of household across racial categories (excluding ethnicity) as identified by the Census Bureau. The dataset can be utilized to gain insights into economic disparities and trends and explore the variations in median houshold income for diverse racial categories.

Key observations

Based on our analysis of the distribution of Max population by race & ethnicity, the population is predominantly White. This particular racial category constitutes the majority, accounting for 96.52% of the total residents in Max. Notably, the median household income for White households is $61,477. Interestingly, White is both the largest group and the one with the highest median household income, which stands at $61,477.

https://i.neilsberg.com/ch/max-nd-median-household-income-by-race.jpeg" alt="Max median household income diversity across racial categories">

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Racial categories include:

• White
• Black or African American
• American Indian and Alaska Native
• Asian
• Native Hawaiian and Other Pacific Islander
• Some other race
• Two or more races (multiracial)

Variables / Data Columns

• Race of the head of household: This column presents the self-identified race of the household head, encompassing all relevant racial categories (excluding ethnicity) applicable in Max.
• Median household income: Median household income, adjusting for inflation, presented in 2022-inflation-adjusted dollars

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Max median household income by race. You can refer the same here

About this dataset

Context

The dataset presents the mean household income for each of the five quintiles in Central High, OK, as reported by the U.S. Census Bureau. The dataset highlights the variation in mean household income across quintiles, offering valuable insights into income distribution and inequality.

Key observations

• Income disparities: The mean income of the lowest quintile (20% of households with the lowest income) is 27,966, while the mean income for the highest quintile (20% of households with the highest income) is 204,467. This indicates that the top earners earn 7 times compared to the lowest earners.
• *Top 5%: * The mean household income for the wealthiest population (top 5%) is 357,608, which is 174.90% higher compared to the highest quintile, and 1278.72% higher compared to the lowest quintile.

https://i.neilsberg.com/ch/central-high-ok-mean-household-income-by-quintiles.jpeg" alt="Mean household income by quintiles in Central High, OK (in 2022 inflation-adjusted dollars))">

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Income Levels:

• Lowest Quintile
• Second Quintile
• Third Quintile
• Fourth Quintile
• Highest Quintile
• Top 5 Percent

Variables / Data Columns

• Income Level: This column showcases the income levels (As mentioned above).
• Mean Household Income: Mean household income, in 2022 inflation-adjusted dollars for the specific income level.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Central High median household income. You can refer the same here

About this dataset

Context

The dataset presents the median household income across different racial categories in Broad Top City. It portrays the median household income of the head of household across racial categories (excluding ethnicity) as identified by the Census Bureau. The dataset can be utilized to gain insights into economic disparities and trends and explore the variations in median houshold income for diverse racial categories.

Key observations

Based on our analysis of the distribution of Broad Top City population by race & ethnicity, the population is predominantly White. This particular racial category constitutes the majority, accounting for 99.07% of the total residents in Broad Top City. Notably, the median household income for White households is $68,375. Interestingly, White is both the largest group and the one with the highest median household income, which stands at $68,375.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Racial categories include:

• White
• Black or African American
• American Indian and Alaska Native
• Asian
• Native Hawaiian and Other Pacific Islander
• Some other race
• Two or more races (multiracial)

Variables / Data Columns

• Race of the head of household: This column presents the self-identified race of the household head, encompassing all relevant racial categories (excluding ethnicity) applicable in Broad Top City.
• Median household income: Median household income, adjusting for inflation, presented in 2023-inflation-adjusted dollars

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Broad Top City median household income by race. You can refer the same here

About this dataset

Context

The dataset presents the median household income across different racial categories in Central High. It portrays the median household income of the head of household across racial categories (excluding ethnicity) as identified by the Census Bureau. The dataset can be utilized to gain insights into economic disparities and trends and explore the variations in median houshold income for diverse racial categories.

Key observations

Based on our analysis of the distribution of Central High population by race & ethnicity, the population is predominantly White. This particular racial category constitutes the majority, accounting for 90.93% of the total residents in Central High. Notably, the median household income for White households is $72,219. Interestingly, despite the White population being the most populous, it is worth noting that American Indian and Alaska Native households actually reports the highest median household income, with a median income of $119,846. This reveals that, while Whites may be the most numerous in Central High, American Indian and Alaska Native households experience greater economic prosperity in terms of median household income.

https://i.neilsberg.com/ch/central-high-ok-median-household-income-by-race.jpeg" alt="Central High median household income diversity across racial categories">

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Racial categories include:

• White
• Black or African American
• American Indian and Alaska Native
• Asian
• Native Hawaiian and Other Pacific Islander
• Some other race
• Two or more races (multiracial)

Variables / Data Columns

• Race of the head of household: This column presents the self-identified race of the household head, encompassing all relevant racial categories (excluding ethnicity) applicable in Central High.
• Median household income: Median household income, adjusting for inflation, presented in 2022-inflation-adjusted dollars

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Central High median household income by race. You can refer the same here

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

About this dataset

Context

The dataset presents the mean household income for each of the five quintiles in High Hill, MO, as reported by the U.S. Census Bureau. The dataset highlights the variation in mean household income across quintiles, offering valuable insights into income distribution and inequality.

Key observations

• Income disparities: The mean income of the lowest quintile (20% of households with the lowest income) is 12,836, while the mean income for the highest quintile (20% of households with the highest income) is 116,546. This indicates that the top earners earn 9 times compared to the lowest earners.
• *Top 5%: * The mean household income for the wealthiest population (top 5%) is 137,050, which is 117.59% higher compared to the highest quintile, and 1067.70% higher compared to the lowest quintile.

https://i.neilsberg.com/ch/high-hill-mo-mean-household-income-by-quintiles.jpeg" alt="Mean household income by quintiles in High Hill, MO (in 2022 inflation-adjusted dollars))">

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Income Levels:

• Lowest Quintile
• Second Quintile
• Third Quintile
• Fourth Quintile
• Highest Quintile
• Top 5 Percent

Variables / Data Columns

• Income Level: This column showcases the income levels (As mentioned above).
• Mean Household Income: Mean household income, in 2022 inflation-adjusted dollars for the specific income level.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for High Hill median household income. You can refer the same here

Inflation Rate in Venezuela increased to 617.90 percent in February from 594.80 percent in January of 2026. This dataset provides - Venezuela Inflation Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.