In 2024, the average annual inflation rate in China ranged at around 0.2 percent compared to the previous year. For 2025, projections by the IMF expect slightly negative inflation. The monthly inflation rate in China dropped to negative values in the first quarter of 2025. Calculation of inflation The inflation rate is calculated based on the Consumer Price Index (CPI) for China. The CPI is computed using a product basket that contains a predefined range of products and services on which the average consumer spends money throughout the year. Included are expenses for groceries, clothes, rent, power, telecommunications, recreational activities, and raw materials (e.g. gas, oil), as well as federal fees and taxes. The product basked is adjusted every five years to reflect changes in consumer preference and has been updated in 2020 for the last time. The inflation rate is then calculated using changes in the CPI. As the inflation of a country is seen as a key economic indicator, it is frequently used for international comparison. China's inflation in comparison Among the main industrialized and emerging economies worldwide, China displayed comparatively low inflation in 2023 and 2024. In previous years, China's inflation ranged marginally above the inflation rates of established industrialized powerhouses such as the United States or the European Union. However, this changed in 2021, as inflation rates in developed countries rose quickly, while prices in China only increased moderately. According to IMF estimates for 2024, Zimbabwe was expected to be the country with the highest inflation rate, with a consumer price increase of about 561 percent compared to 2023. In 2023, Turkmenistan had the lowest price increase worldwide with prices actually decreasing by about 1.7 percent.

The statistic lists the 20 countries with the lowest inflation rate in 2024. In 2023, China ranked 6th with an inflation rate of about 0.21 percent compared to the previous year. Inflation rates and the financial crisis Due to relatively stagnant worker wages as well as a hesitation from banks to so easily distribute loans to the ordinary citizen, inflation has remained considerably low. Low inflation rates are most apparent in European countries, which stems from the on-going Eurozone debt crisis as well as from the global financial crisis of 2008. With continuous economical struggles and a currently sensitive economic situation throughout Europe, precautions were taken in order to maintain stability and to prevent consequential breakdowns, such as those in Greece and Spain. Additionally, the average European consumer had to endure financial setbacks, causing doubt in the general future of the entire European Union, as evident in the consumer confidence statistics, which in turn raised the question, if several handpicked countries should step out of the EU in order to improve its economic position. Greece, while perhaps experiencing the largest economic drought out of all European countries, improved on its inflation rate. The situation within the country is slowly improving itself as a result of a recent bailout as well as economic stimulus packages issued by the European Union. Furthermore, the Greek government managed its revenues and expenses more competently in comparison to the prime of the global and the Greek financial crisis, with annual expenses only slightly exceeding yearly revenues.

The Consumer Price Index in the United States increased 0.20 percent in July of 2025 over the previous month. This dataset provides - United States Inflation Rate MoM - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Core consumer prices in Japan increased 3.10 percent in July of 2025 over the same month in the previous year. This dataset provides - Japan Core Inflation Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Under "Worldwide Inflation Based Database'' there are 4 sheets. Among them, the two are of data-sheets and the rest of the two are chart-typed sheets. However, between the two of the datasheets, one’s name is "Worldwide Inflation Rate in 2022”. Noted that this datasheet's table name is " Worldwide Inflation Rate in 2022''. Moreover, under this data table, there are three fields (“Country"; " Inflation rate-year over year"; "Date"), three columns, and, 185 rows. Also, each row contains 3 cells, and so, 185 rows contain 555 cells. And also, each column contains 185 cells, so, 3 columns contain 555 cells. In addition to, focusing on the two fields' ("Country", "Inflation rate-year over year") data of the datasheet.

"Inflation Rate of Countries" named "Line" type-based chart has been made. On this chart, “Country” field values are on the horizontal axis. Whereas, “Inflation rate-year over year” field values are on the vertical axis. However, the chart shows that Zimbabwe’s highest raking inflation, and its rate is 269%, and also, its time-scale continuity is up to on 22 October,2022. On the other hand, the negative scale of the inflation rate is in South Sudan which rate is -2.50, also, its time-scale is up to on 22 August,2022.

Basically, the chart has been made following “Data Shorting Descending Process’’, and, operating focused on the field (“Inflation rate-year over year’’) ‘s data.

And, another data sheet’s table name is “COUNTRY WISE INFLATION RTAE-2’’. This table contains two fields( “Country’’; “Inflation rate-year over year’’; ), 2 columns, 185 rows. Also, each row contain two cells, and so, 185 rows contain 370 cells. Whereas, each column contains 185 cells, and so, 2 columns contain 370 cells. However, on the basis of this datasheet, “Ascending typed Shorting Process” has been operated after the accomplishment of “Filtering” process. On the basis of it, “Inflation rate- year over year’’ named “line-type” chart has been created. On this chart, “Country” named field values are on horizontal axis, whereas, “Inflation rate-year over year “ named field values are on the vertical axis.

Be that as it may, the chart shows that South Sudan’s inflation rate is on the lower negative scale. In the opposite side, Lebanon’s inflation rate is at the highest level after Zimbabwe.

In June 2025, global inflation rates and central bank interest rates showed significant variation across major economies. Most economies initiated interest rate cuts from mid-2024 due to declining inflationary pressures. The U.S., UK, and EU central banks followed a consistent pattern of regular rate reductions throughout late 2024. In the first half of 2025, Russia maintained the highest interest rate at 20 percent, while Japan retained the lowest at 0.5 percent. Varied inflation rates across major economies The inflation landscape varies considerably among major economies. China had the lowest inflation rate at 0.1 percent in June 2025. In contrast, Russia maintained a high inflation rate of 9.4 percent. These figures align with broader trends observed in early 2025, where China had the lowest inflation rate among major developed and emerging economies, while Russia's rate remained the highest. Central bank responses and economic indicators Central banks globally implemented aggressive rate hikes throughout 2022-23 to combat inflation. The European Central Bank exemplified this trend, raising rates from 0 percent in January 2022 to 4.5 percent by September 2023. A coordinated shift among major central banks began in mid-2024, with the ECB, Bank of England, and Federal Reserve initiating rate cuts, with forecasts suggesting further cuts through 2025 and 2026.

Inflation Rate in Japan decreased to 3.10 percent in July from 3.30 percent in June 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.

This statistic shows the inflation rate of housing, water and energy in Belgium from January 2018 to January 2025. In January 2025, the inflation rate for housing, water, and energy was 11.15 percent, in line with the months of negative inflation rate between October 2019 and February 2021.

Inflation Rate in Switzerland increased to 0.20 percent in July from 0.10 percent in June of 2025. This dataset provides - Switzerland Inflation Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Graph and download economic data for Consumer Price Index for All Urban Consumers: Durables in U.S. City Average (CUSR0000SAD) from Jan 1956 to Jul 2025 about durable goods, urban, consumer, goods, CPI, inflation, price index, indexes, price, and USA.

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.

Inflation Drives People to Google Negative Concepts

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

At ***** percent, Laos had by far the highest inflation rate among selected Southeast Asian economies as of February 2024. The country's inflation rate experienced a slowdown in the last year. In contrast, Thailand had a negative inflation rate of **** percent in February of the same year.

This study examined the relationship between debt servicing and foreign exchange rate unification in Nigeria from 1995 to 2023, hypothesizing that a unified exchange rate policy would significantly impact the country's debt service-to-revenue ratio. Using annual time series data from sources such as the International Monetary Fund and World Development Indicators, the study employed an Autoregressive Distributed Lag (ARDL) model to analyze the relationship between the debt service-to-revenue ratio and factors including the official foreign exchange rate, GDP growth rate, inflation rate, and oil prices. The findings revealed several notable insights. Exchange rate unification was found to have a significant negative effect on the debt service-to-revenue ratio, suggesting that a unified exchange rate policy could help reduce Nigeria's debt service burden. Both current and lagged inflation rates showed a significant negative impact on the debt service-to-revenue ratio, indicating that higher inflation might be eroding the real value of debt or increasing nominal revenues faster than debt servicing costs. Lagged exchange rates were found to negatively affect the debt service-to-revenue ratio, implying that higher exchange rates in the previous period decrease the current ratio. Oil prices demonstrated mixed effects, with current prices positively impacting the debt service-to-revenue ratio while lagged prices had a negative effect. The study also revealed strong persistence in debt servicing behavior over time, as evidenced by the significant positive correlation between current and previous year's debt service ratios. These results offer significant implications for policymakers. The negative effect of exchange rate unification on the debt service-to-revenue ratio suggests that such a policy could improve efficiency in forex markets and reduce arbitrage opportunities, ultimately helping to reduce the debt service burden. The negative relationship between inflation and the debt service-to-revenue ratio indicates that higher inflation might be beneficial for debt servicing in the short term, though this should be interpreted cautiously given the potential negative consequences of high inflation. The mixed impact of oil prices reflects the complexity of Nigeria's oil-dependent economy, highlighting the need for economic diversification. The strong persistence in debt servicing commitments points to potential structural issues in debt management or lack of fiscal flexibility. Policymakers can use these findings to inform strategies for managing Nigeria's debt burden. The results suggest that pursuing exchange rate unification, carefully managing inflation, diversifying the economy to reduce oil dependence, and improving fiscal discipline could all contribute to better management of debt servicing costs. However, it's crucial to consider the lagged effects of economic variables on debt servicing when formulating long-term fiscal strategies.

In 2024, Japan had an average inflation rate estimated at 2.74 percent, marking the highest rate of inflation in Japan in almost a decade. However, this figure was still very low compared to most other major economies, such as Japan's fellow G7 members, four of which had inflation rates around six or seven percent in 2023 due to the global inflation crisis. Why is Japan's inflation rate lower? There are a number of contributing factors to Japan's relatively low inflation rate, even during economic crises. Japan eased its Covid restrictions more slowly than most other major economies, this prevented post-pandemic consumer spending that may have driven inflation through supply chain issues caused by higher demand. As the majority of Japan's food and energy comes from overseas, and has done so for decades, the government has mechanisms in place to prevent energy and wheat prices from rising too quickly. Because of this, Japan was able to shield its private sector from many of the negative knock on effects from Russia's invasion of Ukraine, which had a significant impact on both sectors globally. Persistent deflation and national debt An additional factor that has eased the impact of inflation on Japan's economy is the fact that it experienced deflation before the pandemic. Deflation has been a persistent problem in Japan since the asset price bubble burst in 1992, and has been symptomatic of Japan's staggering national debt thereafter. For almost 30 years, a combination of quantitative easing, low interest rates (below 0.5 percent since 1995, and at -0.1% since 2016), and a lack of spending due to low wages and an aging population have combined to give Japan the highest national debt in the world in absolute terms, and second-highest debt in relation to its GDP, after Venezuela. Despite this soaring debt, Japan remains the fourth-largest economy in the world, behind the U.S., China, and Germany.

Results of ARDL bound test and ECM.

Economic welfare is essential in the modern economy since it directly reflects the standard of living, distribution of resources, and general social satisfaction, which influences individual and social well-being. This study aims to explore the relationship between national income accounting different attributes and the economic welfare in Pakistan. However, this study used data from 1950 to 2022, and data was downloaded from the World Bank data portal. Regression analysis is used to investigate the relationship between them and is very effective in measuring the relationship between endogenous and exogenous variables. Moreover, generalized methods of movement (GMM) are used as the robustness of the regression. Our results show that foreign direct investment outflow, Gross domestic product growth rate, GDP per capita, higher Interest, market capitalization, and population growth have a significant negative on the unemployment rate, indicating the rise in these factors leads to a decrease in the employment rate in Pakistan. Trade and savings have a significant positive impact on the unemployment rate, indicating the rise in these factors leads to an increase in the unemployment rate for various reasons. Moreover, all the factors of national income accounting have a significant positive relationship with life expectancy, indicating that an increase in these factors leads to an increase in economic welfare and life expectancy due to better health facilities, many resources, and correct economic policies. However, foreign direct investment, inflation rate, lending interest rate, and population growth have significant positive effects on age dependency, indicating these factors increase the age dependency. Moreover, GDP growth and GDP per capita negatively impact age dependency. Similarly, all the national income accounting factors have a significant negative relationship with legal rights that leads to decreased legal rights. Moreover, due to better health facilities and health planning, there is a negative significant relationship between national income accounting attributes and motility rate among children. Our study advocated the implications for the policymakers and the government to make policies for the welfare and increase the social factors.

Unit root tests for stationarity–GDP and INF.

We estimate the size of US consumer gains from Chinese imports during 2004–2015. Using barcode-level price and expenditure data, we construct inflation rates under CES preferences, and use Chinese exports to Europe as an instrument. We find significant negative effects of Chinese imports on US prices. This effect is driven by both changes in the prices of existing goods and the entry of new goods, and it is similar across consumer groups by income or region. A simple benchmarking exercise suggests that Chinese imports led to a 0.19 percentage point annual reduction in the price index for consumer tradables.

In 2020, the consumer price index (CPI) in the United Arab Emirates (UAE) was the highest for beverages and tobacco, amounting to nearly ***. Since 2016, the consumer price index for beverages and tobacco has significantly increased from *** to ***. Consumer price index and inflation The consumer price index is an economic indicator that measures the average changes in the price of consumer goods and services over time. The consumer price index helps in identifying periods of inflation and deflation. In 2020, the inflation rate in the Gulf Cooperation Council varied among member states; the United Arab Emirates had a negative inflation rate of *** percent. Inflation in the United Arab Emirates The negative inflation rate in the UAE resulted from consumers' high purchase power due to the low unemployment rate and the government's effectiveness in trade and policy. In 2021, the United Arab Emirates had one of the lowest inflation rates in the world.

About this dataset

Context

The dataset illustrates the median household income in Bad Axe, spanning the years from 2010 to 2023, with all figures adjusted to 2023 inflation-adjusted dollars. Based on the latest 2019-2023 5-Year Estimates from the American Community Survey, it displays how income varied over the last decade. The dataset can be utilized to gain insights into median household income trends and explore income variations.

Key observations:

From 2010 to 2023, the median household income for Bad Axe increased by $9,419 (24.71%), as per the American Community Survey estimates. In comparison, median household income for the United States increased by $5,602 (7.68%) between 2010 and 2023.

Analyzing the trend in median household income between the years 2010 and 2023, spanning 13 annual cycles, we observed that median household income, when adjusted for 2023 inflation using the Consumer Price Index retroactive series (R-CPI-U-RS), experienced growth year by year for 8 years and declined for 5 years.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. All incomes have been adjusting for inflation and are presented in 2022-inflation-adjusted dollars.

Years for which data is available:

• 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022, 0223

Variables / Data Columns

• Year: This column presents the data year from 2010 to 2023
• Median Household Income: Median household income, in 2023 inflation-adjusted dollars for the specific year
• YOY Change($): Change in median household income between the current and the previous year, in 2023 inflation-adjusted dollars
• YOY Change(%): Percent change in median household income between current and the previous year

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 Bad Axe median household income. You can refer the same here