Graph and download economic data for Financial Market: Real Effective Exchange Rates: CPI Based for New Zealand (CCRETT01NZQ661N) from Q1 1970 to Q1 2025 about New Zealand, exchange rate, currency, CPI, manufacturing, real, rate, price index, indexes, and price.

This statistic depicts the consumer price index (CPI) for food in the United States from 1960 to 2024. In December 2024, the consumer price index (CPI) for food amounted to ******, compared to the period from 1982 to 1984 (=100).

Hong Kong Composite Consumer Price Index (CPI): Housing: Rent, Including Rates data was reported at 110.200 Oct1994-Sep1995=100 in Mar 2001. This records a decrease from the previous number of 110.300 Oct1994-Sep1995=100 for Feb 2001. Hong Kong Composite Consumer Price Index (CPI): Housing: Rent, Including Rates data is updated monthly, averaging 59.550 Oct1994-Sep1995=100 from Oct 1980 (Median) to Mar 2001, with 246 observations. The data reached an all-time high of 133.200 Oct1994-Sep1995=100 in Aug 1998 and a record low of 27.000 Oct1994-Sep1995=100 in Oct 1980. Hong Kong Composite Consumer Price Index (CPI): Housing: Rent, Including Rates data remains active status in CEIC and is reported by Census and Statistics Department. The data is categorized under Global Database’s Hong Kong – Table HK.I012: Composite Consumer Price Index: 10/94-9/95=100.

Graph and download economic data for Financial Market: Real Effective Exchange Rates: CPI Based for India (CCRETT01INM661N) from Jan 1970 to May 2025 about India, exchange rate, currency, CPI, manufacturing, real, rate, price index, indexes, and price.

Industrial product price index (IPPI), by major product group by North American Product Classification System (NAPCS) 2017 Version 2.0. Monthly data are available from January 1956. The table presents data for the most recent reference period and the last four periods. The base period for the index is (202001=100).

This dataset provides values for PRODUCER PRICES reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.

In April 2025, the food price index in New Zealand had risen by around *** percent in comparison to the same period of the previous year. The rising cost of food products contributed to the overall increasing cost of living in the country.

Hong Kong SAR (China) Composite Consumer Price Index (CPI): Weights: Housing: Rent, Including Rates: Public data was reported at 2.070 % in 2006. This stayed constant from the previous number of 2.070 % for 2005. Hong Kong SAR (China) Composite Consumer Price Index (CPI): Weights: Housing: Rent, Including Rates: Public data is updated yearly, averaging 2.070 % from Dec 1980 (Median) to 2006, with 27 observations. The data reached an all-time high of 2.070 % in 2006 and a record low of 2.070 % in 2006. Hong Kong SAR (China) Composite Consumer Price Index (CPI): Weights: Housing: Rent, Including Rates: Public data remains active status in CEIC and is reported by Census and Statistics Department. The data is categorized under Global Database’s Hong Kong SAR (China) – Table HK.I018: Composite Consumer Price Index: 10/99-9/00=100: Weights: Annual.

House Price Index YoY in the United States decreased to 3 percent in April from 3.90 percent in March of 2025. This dataset includes a chart with historical data for the United States FHFA House Price Index YoY.

As of December 2024, the CPI for prescription drugs was at ***** compared to the period from 1982 to 1984 (=100). This statistic shows the consumer price index for prescription and nonprescription drugs in the United States from 1960 to 2024.

United Arab Emirates Consumer Price Index (CPI): YoY: Food and Beverages data was reported at 1.900 % in Dec 2024. This records a decrease from the previous number of 2.300 % for Sep 2024. United Arab Emirates Consumer Price Index (CPI): YoY: Food and Beverages data is updated quarterly, averaging 2.920 % from Sep 2021 (Median) to Dec 2024, with 14 observations. The data reached an all-time high of 8.500 % in Sep 2022 and a record low of -0.800 % in Sep 2021. United Arab Emirates Consumer Price Index (CPI): YoY: Food and Beverages data remains active status in CEIC and is reported by Federal Competitiveness and Statistics Centre. The data is categorized under Global Database’s United Arab Emirates – Table AE.I001: Consumer Price Index: Growth Rate.

Abstract

Food price inflation is an important metric to inform economic policy but traditional sources of consumer prices are often produced with delay during crises and only at an aggregate level. This may poorly reflect the actual price trends in rural or poverty-stricken areas, where large populations reside in fragile situations. This data set includes food price estimates and is intended to help gain insight in price developments beyond what can be formally measured by traditional methods. The estimates are generated using a machine-learning approach that imputes ongoing subnational price surveys, often with accuracy similar to direct measurement of prices. The data set provides new opportunities to investigate local price dynamics in areas where populations are sensitive to localized price shocks and where traditional data are not available.

Geographic coverage notes

The data cover the following areas: Afghanistan, Armenia, Bangladesh, Burkina Faso, Burundi, Cameroon, Central African Republic, Chad, Congo, Dem. Rep., Congo, Rep., Gambia, The, Guinea, Guinea-Bissau, Haiti, Indonesia, Iraq, Kenya, Lao PDR, Lebanon, Liberia, Libya, Malawi, Mali, Mauritania, Mozambique, Myanmar, Niger, Nigeria, Philippines, Senegal, Somalia, South Sudan, Sri Lanka, Sudan, Syrian Arab Republic, Yemen, Rep.

Graph and download economic data for Financial Market: Real Effective Exchange Rates: CPI Based for Colombia (COLCCRETT01IXOBM) from Jan 1997 to May 2025 about Colombia, exchange rate, currency, CPI, real, rate, price index, indexes, and price.

The dataset contains All India Monthly Wholesale Price Index in Old Format from Handbook of Statistics on Indian Economy.

In June 2025, consumer prices for food products in China decreased by 0.3 percent compared to the same month of the previous year. On an annual average basis, food inflation reached -0.6 percent in 2024. This was lower than overall consumer price inflation, which ranged at 0.2 percent in 2024.

Japan JP: Real Effective Exchange Rate Index: Based on Consumer Price Index data was reported at 75.823 2010=100 in 2017. This records a decrease from the previous number of 79.708 2010=100 for 2016. Japan JP: Real Effective Exchange Rate Index: Based on Consumer Price Index data is updated yearly, averaging 100.929 2010=100 from Dec 1980 (Median) to 2017, with 38 observations. The data reached an all-time high of 131.933 2010=100 in 1995 and a record low of 69.880 2010=100 in 1982. Japan JP: Real Effective Exchange Rate Index: Based on Consumer Price Index data remains active status in CEIC and is reported by International Monetary Fund. The data is categorized under Global Database’s Japan – Table JP.IMF.IFS: Nominal and Real Effective Exchange Rate Index: Annual.

Real Effective Exchange Rates Based on Manufacturing Consumer Price Index for the Slovak Republic was 109.92700 Index 2010=1.00 in April of 2025, according to the United States Federal Reserve. Historically, Real Effective Exchange Rates Based on Manufacturing Consumer Price Index for the Slovak Republic reached a record high of 110.03920 in November of 2024 and a record low of 49.27080 in August of 1993. Trading Economics provides the current actual value, an historical data chart and related indicators for Real Effective Exchange Rates Based on Manufacturing Consumer Price Index for the Slovak Republic - last updated from the United States Federal Reserve on June of 2025.

Indonesia Consumer Price Index (CPI): Central Java: Surakarta: Housing: Cost for Housing data was reported at 127.570 2002=100 in May 2008. This records an increase from the previous number of 127.400 2002=100 for Apr 2008. Indonesia Consumer Price Index (CPI): Central Java: Surakarta: Housing: Cost for Housing data is updated monthly, averaging 110.610 2002=100 from Jan 2002 (Median) to May 2008, with 77 observations. The data reached an all-time high of 127.570 2002=100 in May 2008 and a record low of 96.570 2002=100 in Jan 2002. Indonesia Consumer Price Index (CPI): Central Java: Surakarta: Housing: Cost for Housing data remains active status in CEIC and is reported by Central Bureau of Statistics. The data is categorized under Global Database’s Indonesia – Table ID.IA038: Consumer Price Index: by Cities: Java: Surakarta.

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.

What happens to gold if CPI increases?

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

In 2023, the average price for aluminum stood at 2,256 nominal U.S. dollars per metric ton. This statistic depicts the average annual prices for aluminum from 2014 through 2026.