Graph and download economic data for Producer Price Index by Industry: Commercial Banking: Credit Cards, Overdraft Credit, and Related Plans (PCU522110522110107) from Dec 2003 to May 2025 about credit cards, credits, commercial, banks, depository institutions, PPI, industry, inflation, price index, indexes, price, and USA.

We study the response of firms' output prices to a cut in credit supply. We combine data on loans between Danish firms and banks with survey-based producer prices and transaction-based export unit values. Exploiting banks’ heterogeneous exposure to the global financial crisis, we show that loans to firms with relationships to exposed banks drop and lending rates increase. In response, firms raise prices by 3-5%. This effect is decreasing in the elasticity of firms' demand but positive for most industrial production. Our results support the idea that firms use price increases to raise cash when external sources of liquidity dry up.

In a survey conducted by Rakuten Insight in March 2023, 24 percent of the respondents in Taiwan purchased items on credit due to inflation. In comparison, nine percent of the respondents in Thailand purchased items on credit to cope with inflation as of March 2023.

Graph and download economic data for Producer Price Index by Commodity: Credit Intermediation Services (Partial): Other Loans and Loan Services (Partial) (WPU391301) from Apr 2009 to May 2025 about intermediate, credits, loans, services, commodities, PPI, inflation, price index, indexes, price, and USA.

The dataset contains data related to credit risk related factors that influence the banks in Pakistan.

The data and programs replicate tables and figures from "From Hyperinflation to Stable Prices: Argentina's Evidence on Menu Cost Models", by Alvarez, Beraja, Gonzalez-Rozada, and Neumeyer. Please see the Readme file for additional details.

Context

Understanding global economic dynamics, specifically the trends in inflation rates, is paramount for policymakers, economists, and researchers. This dataset, covering the years 1980 to 2024, offers a comprehensive perspective on inflation across various countries. The primary focus is on dissecting the data based on country-specific indicators, providing valuable insights into the multifaceted factors influencing economic environments on a global scale.

Content

The dataset comprises crucial columns including country name, indicator type, and annual average inflation rates from 1980 to 2024. This extensive collection of information facilitates detailed analysis and correlation studies, enabling researchers to uncover patterns and trends. By examining the nuanced relationships between country-specific indicators and inflation rates, valuable conclusions can be drawn about the complexities of global economic dynamics over the years. This dataset serves as a valuable resource for anyone seeking to delve into the intricacies of inflation trends and their implications across diverse nations.

Dataset Structure:

This dataset (global_inflation_data.csv) covering from 1980 to 2024 consists of the following columns:

Acknowledgment

The primary dataset was retrieved from the World Bank. I sincerely thank the team for providing the core data used in this dataset.

© Image credit: Freepik

Indonesia Inflation Nowcast: Contribution: Payment System: Clearing Settlement: Weekly: Value: Credit data was reported at 0.000 % in 12 May 2025. This stayed constant from the previous number of 0.000 % for 05 May 2025. Indonesia Inflation Nowcast: Contribution: Payment System: Clearing Settlement: Weekly: Value: Credit data is updated weekly, averaging 0.000 % from Jun 2020 (Median) to 12 May 2025, with 259 observations. The data reached an all-time high of 0.000 % in 12 May 2025 and a record low of 0.000 % in 12 May 2025. Indonesia Inflation Nowcast: Contribution: Payment System: Clearing Settlement: Weekly: Value: Credit data remains active status in CEIC and is reported by CEIC Data. The data is categorized under Global Database’s Indonesia – Table ID.CEIC.NC: CEIC Nowcast: Inflation: Headline.

Indonesia Inflation Nowcast: Contribution: Payment System: Clearing Settlement: Weekly: Volume: Credit data was reported at 7.443 % in 05 May 2025. This records an increase from the previous number of 0.000 % for 28 Apr 2025. Indonesia Inflation Nowcast: Contribution: Payment System: Clearing Settlement: Weekly: Volume: Credit data is updated weekly, averaging 0.000 % from Jun 2020 (Median) to 05 May 2025, with 258 observations. The data reached an all-time high of 16.599 % in 26 Jul 2021 and a record low of 0.000 % in 28 Apr 2025. Indonesia Inflation Nowcast: Contribution: Payment System: Clearing Settlement: Weekly: Volume: Credit data remains active status in CEIC and is reported by CEIC Data. The data is categorized under Global Database’s Indonesia – Table ID.CEIC.NC: CEIC Nowcast: Inflation: Headline.

In April 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 early 2025, Russia maintained the highest interest rate at 21 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 April 2025. In contrast, Russia maintained a high inflation rate of 10.2 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 in 2022 changed payment behavior for online shopping in the UK, with four out of 10 respondents now paying with a credit card. This according to a survey held in 10 different countries across North America, Europe, and Latin America, and purely asked on whether cost of living had changed payment behavior in those countries. Credit cards, BNPL, and crypto were all used more often, but neither saw the largest growth: 57 percent of respondents who changed their payment habits because of the rising cost of living in 2022 are paying online with debit cards more often than they did in the previous year.

Inflation in 2022 changed payment behavior for online shopping in Brazil, with five out of 10 respondents now paying with a credit card. This according to a survey held in 10 different countries across North America, Europe, and Latin America, and purely asked on whether cost of living had changed payment behavior in those countries. BNPL, and crypto were all used more often, but neither saw the largest growth: 52 percent of respondents who changed their payment habits because of the rising cost of living in 2022 are paying online with credit cards more often than they did in the previous year. The source adds this is different from other countries it surveyed, stating that debit cards were often the payment method with the highest increase.

Investigating the credit channel and monetary policy risk channel in Iran’s economy is the aim of this article. According to empirical studies, expansionary monetary policy increases the risk of banks, and on the other hand, the risk of banks affects economic activities and price levels. In order to investigate the mechanism of the credit channel and the risk channel (as a new channel), the effect of monetary policy on real variables and price levels in Iran’s economy, the Dynamic Stochastic General Equilibrium (DSGE) model has been used by entering the information of the banking system and considering moral hazard and adverse choices. The obtained results show that there is a credit channel and a monetary policy risk channel for Iran’s economy, and the expansionary monetary policy shock causes output, inflation, private sector consumption, investment, net worth in the economy and lending to increase. Also, when a credit shock occurs, with the increase in banks’ lending power, production, private sector consumption, investment, net worth and total lending increase and the inflation level decreases. Also, by applying the risk shock caused by the increase in inflation and the decrease in consumption and investment, the volume of lending increases and the level of production does not change much.

The Inflation Reduction Act (IRA) in the United States has an estimated expenditure of approximately *** billion U.S. dollars in clean electricity tax credits between 2022 and 2031. This was the largest amount granted by the IRA for clean energy and climate and will mainly be used to fund renewable power production.

Graph and download economic data for Producer Price Index by Commodity: Credit Intermediation Services (Partial): Credit Cards, Overdraft Credit, and Related Plans (Partial) (WPU39120301) from Apr 2009 to May 2025 about intermediate, credit cards, credits, services, commodities, PPI, inflation, price index, indexes, price, and USA.

The GDP of ASEAN member states is crucial for determining their economic growth. Factors such as foreign direct investment (FDI), tourism, banking credit, and inflation rates play a significant role in boosting GDP. High inflation can lead to economic instability, particularly for developing countries like those in ASEAN. The ASEAN Economic Community (AEC) aims to address these issues by promoting tourism, increasing investment, and offering low-interest credit to businesses. A study was conducted to analyze the impact of FDI, foreign visitors, bank credit, and inflation on the GDP of ASEAN member nations. The findings revealed that while inflation has a negative impact on GDP, FDI, tourism, and bank credit have a positive impact.

About this dataset

Context

The dataset illustrates the median household income in Credit River township, spanning the years from 2010 to 2021, with all figures adjusted to 2022 inflation-adjusted dollars. Based on the latest 2017-2021 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 2021, the median household income for Credit River township increased by $5,240 (3.63%), as per the American Community Survey estimates. In comparison, median household income for the United States increased by $4,559 (6.51%) between 2010 and 2021.

Analyzing the trend in median household income between the years 2010 and 2021, spanning 11 annual cycles, we observed that median household income, when adjusted for 2022 inflation using the Consumer Price Index retroactive series (R-CPI-U-RS), experienced growth year by year for 4 years and declined for 7 years.

https://i.neilsberg.com/ch/credit-river-township-mn-median-household-income-trend.jpeg" alt="Credit River Township, Minnesota median household income trend (2010-2021, 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. 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

Variables / Data Columns

• Year: This column presents the data year from 2010 to 2021
• Median Household Income: Median household income, in 2022 inflation-adjusted dollars for the specific year
• YOY Change($): Change in median household income between the current and the previous year, in 2022 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 Credit River township median household income. You can refer the same here

India Inflation Nowcast: Contribution: International Reserves: RBI: Sources: RBI Credit to Banks & Comm. Sector data was reported at 0.232 % in 12 May 2025. This stayed constant from the previous number of 0.232 % for 05 May 2025. India Inflation Nowcast: Contribution: International Reserves: RBI: Sources: RBI Credit to Banks & Comm. Sector data is updated weekly, averaging 0.126 % from Jul 2020 (Median) to 12 May 2025, with 254 observations. The data reached an all-time high of 5.311 % in 07 Oct 2024 and a record low of 0.000 % in 14 Apr 2025. India Inflation Nowcast: Contribution: International Reserves: RBI: Sources: RBI Credit to Banks & Comm. Sector data remains active status in CEIC and is reported by CEIC Data. The data is categorized under Global Database’s India – Table IN.CEIC.NC: CEIC Nowcast: Inflation: Headline.

Credit card processors and money transferring companies have witnessed substantial growth fueled by an expanding adoption of electronic payments. Recent trends show a remarkable increase in electronic transactions, with more businesses embracing a credit card-friendly approach. This has directly contributed to burgeoning revenue streams for providers. The heightened use of debit and credit cards, along with solid economic growth that has bolstered consumer spending and per capita disposable income, underpin this upward trajectory. Additionally, digitization trends, accelerated by the push towards e-commerce, have further cemented the integration of cards in everyday transactions, demonstrating the industry's resilience and adaptability to evolving market demands. Shifting economic conditions have significantly impacted revenue volatility for credit card processors and money transfer services. Initially, the pandemic reduced consumer spending, leading to a decreased demand for these services in 2020. Despite this, e-commerce sales surged, permitting some stability in revenue. As the US economy reopened, consumer spending increased, leading to substantial revenue growth in 2021. However, rampant inflation in 2022 dampened e-commerce performance, yet high wage growth kept revenue positive. This inflation also caused consumers to bolster their use of credit cards to cover rising expenses, raising profit. More recently, recessionary fears, spurred by higher interest rates, further constrained consumer spending and corporate expenditures, slowing growth. Despite these challenges, strong e-commerce activities have kept the industry resilient. Overall, revenue for credit card processing and money transferring companies has swelled at a CAGR of 6.9% over the past five years, reaching $147.7 billion in 2025. This includes a 2.7% rise in revenue in that year. Looking forward, economic growth is expected to alleviate recessionary fears and reinvigorate consumer spending. This, coupled with falling interest rates, should enhance market conditions and foster stronger revenue growth trajectories for providers. Increasing emphasis on security through biometric authentication and AI-driven solutions promises to elevate user confidence, making digital payment methods even more attractive. As cash use dwindles, the reliance on digital payment forms will surge, creating opportunities for both established players and emerging entrants. Larger providers will likely wield their financial clout to innovate and expand market reach, while smaller entities may need to differentiate and innovate to sustain competitive advantages. Overall, revenue for credit card processors and money transferrers is forecast to expand at a CAGR of 3.1% over the next five years, reaching $171.9 billion in 2030.

This series measures the probability that the expected personal consumption expenditures price index (PCEPI) inflation rate (12-month percent changes) over the next 12 months will range between 1.5 and 2.5 percent.

For additional information on the Price Pressures Measure and its construction, see Introducing the St. Louis Fed Price Pressures Measure (https://research.stlouisfed.org/publications/economic-synopses/2015/11/06/introducing-the-st-louis-fed-price-pressures-measure/).

As of April 5, 2023, the MZM Money Stock measure, in SA billions of dollars, has been replaced with the series Revolving Consumer Credit Outstanding (break-adjusted), in SA billions of dollars, from the Federal Reserve’s monthly G.19 release. This change was made because the MZM series was discontinued.

As of February 3, 2020, the Emerging and Developing Asia and Western Hemisphere Consumer Prices Indexes have been replaced with Asia/Pacific Rim and Latin America Consumer Price Indexes respectively. These changes were made to facilitate a more timely updating of the PPM. Switching the Consumer Prices Indexes produced no meaningful change in the PPM series.

As of January 29, 2021, the Adjusted Monetary Base (including Deposits to Satisfy Clearing Balance Contracts) Seasonally Adjusted, in billions of dollars has been replaced with the series, Monetary Base, NSA, in billions of dollars.