Graph and download economic data for Consumer Price Index for All Urban Consumers: All Items in New York-Newark-Jersey City, NY-NJ-PA (CBSA) (CUURA101SA0) from Dec 1914 to Aug 2025 about CT, NJ, New York, PA, NY, all items, urban, consumer, CPI, inflation, price index, indexes, price, and USA.

Graph and download economic data for Consumer Price Index for All Urban Consumers: Food and Beverages in New York-Newark-Jersey City, NY-NJ-PA (CBSA) (CUURA101SAF) from Jan 1976 to Aug 2025 about CT, beverages, NJ, New York, PA, NY, food, urban, consumer, CPI, inflation, price index, indexes, price, and USA.

In 2024, the CPI in U.S. cities averaged at 313.7. However, the CPI for the New York-Newark-Jersey City metropolitan area amounted to about 334.21. Prices in New York City were significantly higher than the U.S. average. Nonetheless, the San Diego-Carlsbad area ranked first with a CPI of 373.32.The monthly inflation rate for the United States can be found here.

In 2023, the U.S. Consumer Price Index was 309.42, and is projected to increase to 352.27 by 2029. The base period was 1982-84. The monthly CPI for all urban consumers in the U.S. can be accessed here. After a time of high inflation, the U.S. inflation rateis projected fall to two percent by 2027. United States Consumer Price Index ForecastIt is projected that the CPI will continue to rise year over year, reaching 325.6 in 2027. The Consumer Price Index of all urban consumers in previous years was lower, and has risen every year since 1992, except in 2009, when the CPI went from 215.30 in 2008 to 214.54 in 2009. The monthly unadjusted Consumer Price Index was 296.17 for the month of August in 2022. The U.S. CPI measures changes in the price of consumer goods and services purchased by households and is thought to reflect inflation in the U.S. as well as the health of the economy. The U.S. Bureau of Labor Statistics calculates the CPI and defines it as, "a measure of the average change over time in the prices paid by urban consumers for a market basket of consumer goods and services." The BLS records the price of thousands of goods and services month by month. They consider goods and services within eight main categories: food and beverage, housing, apparel, transportation, medical care, recreation, education, and other goods and services. They aggregate the data collected in order to compare how much it would cost a consumer to buy the same market basket of goods and services within one month or one year compared with the previous month or year. Given that the CPI is used to calculate U.S. inflation, the CPI influences the annual adjustments of many financial institutions in the United States, both private and public. Wages, social security payments, and pensions are all affected by the CPI.

SCE: Distribution of 5 Year Ahead Expected Inflation Rate: 2% to 3% data was reported at 10.166 % in Apr 2025. This records a decrease from the previous number of 11.163 % for Mar 2025. SCE: Distribution of 5 Year Ahead Expected Inflation Rate: 2% to 3% data is updated monthly, averaging 11.317 % from Jan 2022 (Median) to Apr 2025, with 40 observations. The data reached an all-time high of 14.460 % in Jun 2023 and a record low of 7.899 % in May 2022. SCE: Distribution of 5 Year Ahead Expected Inflation Rate: 2% to 3% data remains active status in CEIC and is reported by Federal Reserve Bank of New York. The data is categorized under Global Database’s United States – Table US.H078: Survey of Consumer Expectations: Inflation.

In 2024, the CPI in U.S. cities averaged at 313.7. However, the CPI for the New York-Newark-Jersey City metropolitan area amounted to about 334.21. Prices in New York City were significantly higher than the U.S. average. Nonetheless, the San Diego-Carlsbad area ranked first with a CPI of 373.32.The monthly inflation rate for the United States can be found here.

SCE: Distribution of 5 Year Ahead Expected Inflation Rate: Less Than 0% data was reported at 28.374 % in Apr 2025. This records an increase from the previous number of 22.061 % for Mar 2025. SCE: Distribution of 5 Year Ahead Expected Inflation Rate: Less Than 0% data is updated monthly, averaging 21.942 % from Jan 2022 (Median) to Apr 2025, with 40 observations. The data reached an all-time high of 30.233 % in Jun 2022 and a record low of 15.468 % in Feb 2024. SCE: Distribution of 5 Year Ahead Expected Inflation Rate: Less Than 0% data remains active status in CEIC and is reported by Federal Reserve Bank of New York. The data is categorized under Global Database’s United States – Table US.H078: Survey of Consumer Expectations: Inflation.

United States SCE: Distribution of 3 Year Ahead Expected Inflation Rate: 3% to 4% data was reported at 10.561 % in Apr 2025. This records a decrease from the previous number of 10.582 % for Mar 2025. United States SCE: Distribution of 3 Year Ahead Expected Inflation Rate: 3% to 4% data is updated monthly, averaging 13.073 % from Jun 2013 (Median) to Apr 2025, with 143 observations. The data reached an all-time high of 17.812 % in Dec 2018 and a record low of 6.928 % in Jun 2022. United States SCE: Distribution of 3 Year Ahead Expected Inflation Rate: 3% to 4% data remains active status in CEIC and is reported by Federal Reserve Bank of New York. The data is categorized under Global Database’s United States – Table US.H078: Survey of Consumer Expectations: Inflation.

United States SCE: Distribution of 1 Year Ahead Expected Inflation Rate: Less Than 0% data was reported at 22.156 % in Apr 2025. This records an increase from the previous number of 15.248 % for Mar 2025. United States SCE: Distribution of 1 Year Ahead Expected Inflation Rate: Less Than 0% data is updated monthly, averaging 9.925 % from Jun 2013 (Median) to Apr 2025, with 143 observations. The data reached an all-time high of 22.156 % in Apr 2025 and a record low of 5.226 % in Feb 2022. United States SCE: Distribution of 1 Year Ahead Expected Inflation Rate: Less Than 0% data remains active status in CEIC and is reported by Federal Reserve Bank of New York. The data is categorized under Global Database’s United States – Table US.H078: Survey of Consumer Expectations: Inflation.

United States SCE: Distribution of 3 Year Ahead Expected Inflation Rate: 0% to 1% data was reported at 5.512 % in Apr 2025. This records a decrease from the previous number of 10.762 % for Mar 2025. United States SCE: Distribution of 3 Year Ahead Expected Inflation Rate: 0% to 1% data is updated monthly, averaging 10.318 % from Jun 2013 (Median) to Apr 2025, with 143 observations. The data reached an all-time high of 14.638 % in Jan 2024 and a record low of 5.512 % in Apr 2025. United States SCE: Distribution of 3 Year Ahead Expected Inflation Rate: 0% to 1% data remains active status in CEIC and is reported by Federal Reserve Bank of New York. The data is categorized under Global Database’s United States – Table US.H078: Survey of Consumer Expectations: Inflation.

View monthly updates and historical trends for US One-Year Ahead Inflation Expectations. from United States. Source: Federal Reserve Bank of New York. Tra…

View monthly updates and historical trends for US Three-Year Ahead Inflation Expectations. from United States. Source: Federal Reserve Bank of New York. T…

United States SCE: Distribution of 5 Year Ahead Expected Inflation Rate: 1% to 2% data was reported at 7.174 % in Apr 2025. This records a decrease from the previous number of 7.233 % for Mar 2025. United States SCE: Distribution of 5 Year Ahead Expected Inflation Rate: 1% to 2% data is updated monthly, averaging 7.966 % from Jan 2022 (Median) to Apr 2025, with 40 observations. The data reached an all-time high of 10.682 % in Feb 2024 and a record low of 5.098 % in May 2022. United States SCE: Distribution of 5 Year Ahead Expected Inflation Rate: 1% to 2% data remains active status in CEIC and is reported by Federal Reserve Bank of New York. The data is categorized under Global Database’s United States – Table US.H078: Survey of Consumer Expectations: Inflation.

Dataset Overview

This dataset provides historical housing price indices for the United States, covering a span of 20 years from January 2000 onwards. The data includes housing price trends at the national level, as well as for major metropolitan areas such as San Francisco, Los Angeles, New York, and more. It is ideal for understanding how housing prices have evolved over time and exploring regional differences in the housing market.

Why This Dataset?

The U.S. housing market has experienced significant shifts over the last two decades, influenced by economic booms, recessions, and post-pandemic recovery. This dataset allows data enthusiasts, economists, and real estate professionals to analyze long-term trends, make forecasts, and derive insights into regional housing markets.

What’s Included?

Time Period: January 2000 to the latest available data (specific end date depends on the dataset). Frequency: Monthly data. Regions Covered: 20+ U.S. cities, states, and aggregates.

Columns Description

Each column represents the housing price index for a specific region or aggregate, starting with a date column:

Date: Represents the date of the housing price index measurement, recorded with a monthly frequency. U.S. National: The national-level housing price index for the United States. 20-City Composite: The aggregate housing price index for the top 20 metropolitan areas in the U.S. CA-San Francisco: The housing price index for San Francisco, California. CA-Los Angeles: The housing price index for Los Angeles, California. WA-Seattle: The housing price index for Seattle, Washington. NY-New York: The housing price index for New York City, New York. Additional Columns: The dataset includes more columns with housing price indices for various U.S. cities, which can be viewed in the full dataset preview.

Potential Use Cases

Time-Series Analysis: Investigate long-term trends and patterns in housing prices. Forecasting: Build predictive models to forecast future housing prices using historical data. Regional Comparisons: Analyze how housing prices have grown in different cities over time. Economic Insights: Correlate housing prices with economic factors like interest rates, GDP, and inflation.

Who Can Use This Dataset?

This dataset is perfect for:

Data scientists and machine learning practitioners looking to build forecasting models. Economists and policymakers analyzing housing market dynamics. Real estate investors and analysts studying regional trends in housing prices.

Example Questions to Explore

Which cities have experienced the highest housing price growth over the last 20 years? How do housing price trends in coastal cities (e.g., Los Angeles, Miami) compare to midwestern cities (e.g., Chicago, Detroit)? Can we predict future housing prices using time-series models like ARIMA or Prophet?

Graph and download economic data for All-Transactions House Price Index for New York (NYSTHPI) from Q1 1975 to Q2 2025 about appraisers, NY, HPI, housing, price index, indexes, price, and USA.

In January 2025, it was estimated that a Big Mac burger in Argentina would cost an average of 6.95 U.S. dollars. Overall, Argentina ranked with the highest price for a Big Mac in selected Latin American countries. The Big Mac Index in Argentina The Big Mac Index is an indicator that measures an economy's purchasing power. As it is mainly a standardized product, elaborated similarly across many markets, the evolution of its cost can provide insights into variations of real consumption prices in a given country. For instance, the price for a Big Mac in Argentina decreased by almost half from 2018 to 2019. This reflects Argentina's peso devaluation in comparison to the U.S. dollar and other foreign currencies in that period, caused by high inflation rates in the country, among other macroeconomic reasons. McDonald's in Latin America Arcos Dorados Holdings Inc. is McDonald's franchisee in Latin America. The company's name was inspired by McDonald's famous logo, as 'Arcos Dorados' means 'Golden Arches' in Spanish. It manages the brand's operations in Mexico, Central America, the Caribbean, and South America. Arcos Dorados’ revenue averages three billion U.S. dollars per year, making it McDonald's largest franchisee in the world. The company is also publicly listed in the New York Stock Exchange. Based on its market capitalization value, Arcos Dorados' net worth was estimated at around 1.64 billion U.S. dollars in 2023.

Graph and download economic data for S&P CoreLogic Case-Shiller NY-New York Home Price Index (NYXRSA) from Jan 1987 to Jul 2025 about New York, NY, HPI, housing, price index, indexes, price, and USA.

United States SCE: Distribution of 5 Year Ahead Expected Inflation Rate: 3% to 4% data was reported at 12.468 % in Apr 2025. This records a decrease from the previous number of 13.853 % for Mar 2025. United States SCE: Distribution of 5 Year Ahead Expected Inflation Rate: 3% to 4% data is updated monthly, averaging 11.784 % from Jan 2022 (Median) to Apr 2025, with 40 observations. The data reached an all-time high of 14.087 % in Aug 2023 and a record low of 8.548 % in Oct 2022. United States SCE: Distribution of 5 Year Ahead Expected Inflation Rate: 3% to 4% data remains active status in CEIC and is reported by Federal Reserve Bank of New York. The data is categorized under Global Database’s United States – Table US.H078: Survey of Consumer Expectations: Inflation.

In January 2025, it was estimated that a Big Mac burger in Argentina would cost an average of 6.95 U.S. dollars. Overall, Argentina ranked with the highest price for a Big Mac in selected Latin American countries. The Big Mac Index in Argentina The Big Mac Index is an indicator that measures an economy's purchasing power. As it is mainly a standardized product, elaborated similarly across many markets, the evolution of its cost can provide insights into variations of real consumption prices in a given country. For instance, the price for a Big Mac in Argentina decreased by almost half from 2018 to 2019. This reflects Argentina's peso devaluation in comparison to the U.S. dollar and other foreign currencies in that period, caused by high inflation rates in the country, among other macroeconomic reasons. McDonald's in Latin America Arcos Dorados Holdings Inc. is McDonald's franchisee in Latin America. The company's name was inspired by McDonald's famous logo, as 'Arcos Dorados' means 'Golden Arches' in Spanish. It manages the brand's operations in Mexico, Central America, the Caribbean, and South America. Arcos Dorados’ revenue averages three billion U.S. dollars per year, making it McDonald's largest franchisee in the world. The company is also publicly listed in the New York Stock Exchange. Based on its market capitalization value, Arcos Dorados' net worth was estimated at around 1.64 billion U.S. dollars in 2023.

At **** U.S. dollars, Switzerland has the most expensive Big Macs in the world, according to the January 2025 Big Mac index. Concurrently, the cost of a Big Mac was **** dollars in the U.S., and **** U.S. dollars in the Euro area. What is the Big Mac index? The Big Mac index, published by The Economist, is a novel way of measuring whether the market exchange rates for different countries’ currencies are overvalued or undervalued. It does this by measuring each currency against a common standard – the Big Mac hamburger sold by McDonald’s restaurants all over the world. Twice a year the Economist converts the average national price of a Big Mac into U.S. dollars using the exchange rate at that point in time. As a Big Mac is a completely standardized product across the world, the argument goes that it should have the same relative cost in every country. Differences in the cost of a Big Mac expressed as U.S. dollars therefore reflect differences in the purchasing power of each currency. Is the Big Mac index a good measure of purchasing power parity? Purchasing power parity (PPP) is the idea that items should cost the same in different countries, based on the exchange rate at that time. This relationship does not hold in practice. Factors like tax rates, wage regulations, whether components need to be imported, and the level of market competition all contribute to price variations between countries. The Big Mac index does measure this basic point – that one U.S. dollar can buy more in some countries than others. There are more accurate ways to measure differences in PPP though, which convert a larger range of products into their dollar price. Adjusting for PPP can have a massive effect on how we understand a country’s economy. The country with the largest GDP adjusted for PPP is China, but when looking at the unadjusted GDP of different countries, the U.S. has the largest economy.