Copper rose to 5.06 USD/Lbs on July 2, 2025, up 0.24% from the previous day. Over the past month, Copper's price has risen 4.73%, and is up 11.72% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Copper - values, historical data, forecasts and news - updated on July of 2025.

About This Dataset: Copper Prices and Market Trends

    This dataset provides **insights into copper prices**, including current rates, historical trends, and key factors affecting price fluctuations. Copper is essential in **construction**, **electronics**, and **transportation** industries. Investors, traders, and analysts use accurate copper price data to guide decisions related to **trading**, **futures**, and **commodity investments**.

    ### **Key Features of the Dataset**

    #### **Live Market Data and Updates**
    Stay updated with the latest **copper price per pound** in USD. This data is sourced from exchanges like the **London Metal Exchange (LME)** and **COMEX**. Price fluctuations result from **global supply-demand shifts**, currency changes, and geopolitical factors.

    #### **Interactive Copper Price Charts**
    Explore **dynamic charts** showcasing real-time and historical price movements. These compare copper with **gold**, **silver**, and **aluminium**, offering insights into **market trends** and inter-metal correlations.

    ### **Factors Driving Copper Prices**

    #### **1. Supply and Demand Dynamics**
    Global copper supply is driven by mining activities in regions like **Peru**, **China**, and the **United States**. Disruptions in production or policy changes can cause **supply shocks**. On the demand side, **industrial growth** in countries like **India** and **China** sustains demand for copper.

    #### **2. Economic and Industry Trends**
    Copper prices often reflect **economic trends**. The push for **renewable energy** and **electric vehicles** has boosted long-term demand. Conversely, economic downturns and **inflation** can reduce demand, lowering prices.

    #### **3. Impact of Currency and Trade Policies**
    As a globally traded commodity, copper prices are influenced by **currency fluctuations** and **tariff policies**. A strong **US dollar** typically suppresses copper prices by increasing costs for international buyers. Trade tensions can also disrupt **commodity markets**.

    ### **Applications and Benefits**

    This dataset supports **commodity investors**, **traders**, and **industry professionals**:

    - **Investors** forecast price trends and manage **investment risks**. 
    - **Analysts** perform **market research** using price data to assess **copper futures**. 
    - **Manufacturers** optimize supply chains and **cost forecasts**.

    Explore more about copper investments on **Money Metals**:

    - [**Buy Copper Products**](https://www.moneymetals.com/buy/copper) 
    - [**95% Copper Pennies (Pre-1983)**](https://www.moneymetals.com/pre-1983-95-percent-copper-pennies/4) 
    - [**Copper Buffalo Rounds**](https://www.moneymetals.com/copper-buffalo-round-1-avdp-oz-999-pure-copper/297)

    ### **Copper Price Comparisons with Other Metals**

    Copper prices often correlate with those of **industrial** and **precious metals**:

    - **Gold** and **silver** are sensitive to **inflation** and currency shifts. 
    - **Iron ore** and **aluminium** reflect changes in **global demand** within construction and manufacturing sectors.

    These correlations help traders develop **hedging strategies** and **investment models**.

    ### **Data Variables and Availability**

    Key metrics include:

    - **Copper Price Per Pound:** The current market price in USD. 
    - **Copper Futures Price:** Data from **COMEX** futures contracts. 
    - **Historical Price Trends:** Long-term movements, updated regularly. 

    Data is available in **CSV** and **JSON** formats, enabling integration with analytical tools and platforms.

    ### **Conclusion**

    Copper price data is crucial for **monitoring global commodity markets**. From **mining** to **investment strategies**, copper impacts industries worldwide. Reliable data supports **risk management**, **planning**, and **economic forecasting**.

    For more tools and data, visit the **Money Metals** [Copper Prices Page](https://www.moneymetals.com/copper-prices).

Interactive chart of historical daily COMEX copper prices back to 1971. The price shown is in U.S. Dollars per pound.

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

Graph and download economic data for Wholesale Price of Copper Wire for New York (M04178US000NYM267NNBR) from Jan 1901 to Dec 1951 about copper, wired, wholesale, metals, NY, price, and USA.

Copper Production in Kazakhstan decreased to 34574 Tonnes in May from 34972 Tonnes in April of 2025. This dataset provides - Kazakhstan Copper Production- actual values, historical data, forecast, chart, statistics, economic calendar and news.

📈 Daily Historical Stock Price Data for Ero Copper Corp. (2017–2025)

A clean, ready-to-use dataset containing daily stock prices for Ero Copper Corp. from 2017-10-20 to 2025-05-28. This dataset is ideal for use in financial analysis, algorithmic trading, machine learning, and academic research.

  🗂️ Dataset Overview

Company: Ero Copper Corp. Ticker Symbol: ERO Date Range: 2017-10-20 to 2025-05-28 Frequency: Daily Total Records: 1910 rows (one per trading day)… See the full description on the dataset page: https://huggingface.co/datasets/khaledxbenali/daily-historical-stock-price-data-for-ero-copper-corp-20172025.

CanariaView Global Copper Supply Forecasting Dataset

  Description

This dataset encompasses economic and industrial indicators vital for constructing a copper supply forecasting model. Coverage Period: Monthly data from January 2000 to March 2023, encompassing a total of 279 months. Column Descriptions and Sources:

Copper price: MacroTrends Cash Costs (Antofagasta's Pure Mining Costs): Antofagasta Annual Report Transport (Antofagasta's Transportation Cost): Antofagasta… See the full description on the dataset page: https://huggingface.co/datasets/CanariaView/GlobalCopperSupplyForecastingDataset.

CN: Transaction Price: Electrolyse Copper, No 1: Fuzhou data was reported at 47,300.000 RMB/Ton in Nov 2019. This records a decrease from the previous number of 47,600.000 RMB/Ton for Oct 2019. CN: Transaction Price: Electrolyse Copper, No 1: Fuzhou data is updated monthly, averaging 24,250.000 RMB/Ton from Dec 1995 (Median) to Nov 2019, with 164 observations. The data reached an all-time high of 54,990.000 RMB/Ton in Dec 2017 and a record low of 16,000.000 RMB/Ton in Apr 2002. CN: Transaction Price: Electrolyse Copper, No 1: Fuzhou data remains active status in CEIC and is reported by Price Monitoring Center, NDRC. The data is categorized under China Premium Database’s Price – Table CN.PG: Copper Price.

Graph and download economic data for Global price of Copper (PCOPPUSDM) from Jan 1990 to May 2025 about copper, World, metals, and price.

Exports of Copper in the United States increased to 894.74 USD Million in February from 865.06 USD Million in January of 2024. This dataset includes a chart with historical data for the United States Exports of Copper.

CN: Transaction Price: Electrolyse Copper, No 1: Nanjing data was reported at 47,080.000 RMB/Ton in Nov 2019. This records a decrease from the previous number of 47,440.000 RMB/Ton for Oct 2019. CN: Transaction Price: Electrolyse Copper, No 1: Nanjing data is updated monthly, averaging 41,690.000 RMB/Ton from Dec 1995 (Median) to Nov 2019, with 281 observations. The data reached an all-time high of 72,275.000 RMB/Ton in Mar 2011 and a record low of 15,800.000 RMB/Ton in Mar 2002. CN: Transaction Price: Electrolyse Copper, No 1: Nanjing data remains active status in CEIC and is reported by Price Monitoring Center, NDRC. The data is categorized under China Premium Database’s Price – Table CN.PG: Copper Price.

About this dataset

Context

The dataset presents median household incomes for various household sizes in Copper Canyon, TX, as reported by the U.S. Census Bureau. The dataset highlights the variation in median household income with the size of the family unit, offering valuable insights into economic trends and disparities within different household sizes, aiding in data analysis and decision-making.

Key observations

• Of the 7 household sizes (1 person to 7-or-more person households) reported by the census bureau, Copper Canyon did not include 1, 6, or 7-person households. Across the different household sizes in Copper Canyon the mean income is $190,686, and the standard deviation is $76,227. The coefficient of variation (CV) is 39.98%. This high CV indicates high relative variability, suggesting that the incomes vary significantly across different sizes of households. Please note that the U.S. Census Bureau uses $250,001 as a JAM value to report incomes of $250,000 or more. In the case of Copper Canyon, there were 1 household sizes where the JAM values were used. Thus, the numbers for the mean and standard deviation may not be entirely accurate and have a higher possibility of errors. However, to obtain an approximate estimate, we have used a value of $250,001 as the income for calculations, as reported in the datasets by the U.S. Census Bureau.
• In the most recent year, 2021, The smallest household size for which the bureau reported a median household income was 2-person households, with an income of $132,767. It then further increased to $241,178 for 5-person households, the largest household size for which the bureau reported a median household income.

https://i.neilsberg.com/ch/copper-canyon-tx-median-household-income-by-household-size.jpeg" alt="Copper Canyon, TX median household income, by household size (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.

Household Sizes:

• 1-person households
• 2-person households
• 3-person households
• 4-person households
• 5-person households
• 6-person households
• 7-or-more-person households

Variables / Data Columns

• Household Size: This column showcases 7 household sizes ranging from 1-person households to 7-or-more-person households (As mentioned above).
• Median Household Income: Median household income, in 2022 inflation-adjusted dollars for the specific household size.

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 Copper Canyon median household income. You can refer the same here

This data release provides descriptions and locations of 134 significant deposits in Alaska. Approximately 99 percent of past production and remaining identified resources of gold, silver, copper, lead, and zinc in the United States are accounted for by deposits that originally contained at least 2 metric tons (t) of gold, 85 t silver, 50,000 t copper, 30,000 t lead, and 50,000 t zinc. Deposits of this size comprise a very small fraction of the total number of mines, prospects, and occurrences for these metals in the United States. They are called significant deposits because they are few in number yet collectively represent almost the totality of domestic production and resources of these metals. The significant deposits database was first published by the U.S. Geological Survey (USGS) as part of the 1996 National Mineral Resource Assessment (NMRA), which was limited to these five metals. The database was intended to characterize known mineral resources for comparison with estimates of undiscovered resources provided by the NMRA. Data on location, deposit type, past production, and remaining reserves for 1,118 individual significant deposits comprised the original database. During the 20 years since the original database was published, there has been substantial new production and additions to resources at many of the deposits in the database and many new discoveries that meet the criteria for a significant deposit. New information on a few deposits has revealed that some of the deposits in the original database do not meet the criteria for significant deposits and these have been deleted. This data release is a revision of the Alaska portion of the original 1996 database, with updated production and resource data, improved locations, added data on land ownership, and addition of new discoveries. The Excel table provides locations for and information on significant deposits in Alaska. The geodatabase contains a single point layer which represents the locations of these deposits. The attributes of the point layer contain the same information as the Excel database. A detailed description of the original database and its interpretation was published as Long, Keith R., DeYoung, John H., Jr., and Ludington, Steve, 2000, Significant deposits of gold, silver, copper, lead, and zinc in the United States: Economic Geology, v. 95, p. 629-644 (more information available at https://pubs.er.usgs.gov/publication/70022329).

This dataset contains monthly historical prices of 10 different commodities from January 1980 to April 2023. The data was collected from the Alpha Vantage API using Python. The commodities included in the dataset are WTI crude oil, cotton, natural gas, coffee, sugar, aluminum, Brent crude oil, corn, copper, and wheat. Prices are reported in USD per unit of measurement for each commodity. The dataset contains 520 rows and 12 columns, with each row representing a monthly observation of the prices of the 10 commodities. The 'All_Commodities' column is new.

WTI: WTI crude oil price per unit of measurement (USD). COTTON: Cotton price per unit of measurement (USD). NATURAL_GAS: Natural gas price per unit of measurement (USD). ALL_COMMODITIES: A composite index that represents the average price of all 10 commodities in the dataset, weighted by their individual market capitalizations. Prices are reported in USD per unit of measurement. COFFEE: Coffee price per unit of measurement (USD). SUGAR: Sugar price per unit of measurement (USD). ALUMINUM: Aluminum price per unit of measurement (USD). BRENT: Brent crude oil price per unit of measurement (USD). CORN: Corn price per unit of measurement (USD). COPPER: Copper price per unit of measurement (USD). WHEAT: Wheat price per unit of measurement (USD).

Note that some values are missing in the dataset, represented by NaN. These missing values occur for some of the commodities in the earlier years of the dataset.

It may be useful for time series analysis and predictive modeling.

NaN values were included so that you as a Data Scientist can get some practice on dealing with NaN values.

https://www.alphavantage.co/documentation/

Get the latest insights on price movement and trend analysis of Copper Scrap in different regions across the world (Asia, Europe, North America, Latin America, and the Middle East Africa).

This dataset encapsulates a detailed examination of market dynamics over a five-year period, focusing on the fluctuation of prices and trading volumes across a diversified portfolio. It covers various sectors including energy commodities like natural gas and crude oil, metals such as copper, platinum, silver, and gold, cryptocurrencies including Bitcoin and Ethereum, and key stock indices and companies like the S&P 500, Nasdaq 100, Apple, Tesla, Microsoft, Google, Nvidia, Berkshire Hathaway, Netflix, Amazon, and Meta Platforms. This dataset serves as a valuable resource for analyzing trends and patterns in global markets.

Date: The date of the recorded data, formatted as DD-MM-YYYY. Natural_Gas_Price: Price of natural gas in USD per million British thermal units (MMBtu). Natural_Gas_Vol.: Trading volume of natural gas Crude_oil_Price: Price of crude oil in USD per barrel. Crude_oil_Vol.: Trading volume of crude oil Copper_Price: Price of copper in USD per pound. Copper_Vol.: Trading volume of copper Bitcoin_Price: Price of Bitcoin in USD. Bitcoin_Vol.: Trading volume of Bitcoin Platinum_Price: Price of platinum in USD per troy ounce. Platinum_Vol.: Trading volume of platinum Ethereum_Price: Price of Ethereum in USD. Ethereum_Vol.: Trading volume of Ethereum S&P_500_Price: Price index of the S&P 500. Nasdaq_100_Price: Price index of the Nasdaq 100. Nasdaq_100_Vol.: Trading volume for the Nasdaq 100 index Apple_Price: Stock price of Apple Inc. in USD. Apple_Vol.: Trading volume of Apple Inc. stock Tesla_Price: Stock price of Tesla Inc. in USD. Tesla_Vol.: Trading volume of Tesla Inc. stock Microsoft_Price: Stock price of Microsoft Corporation in USD. Microsoft_Vol.: Trading volume of Microsoft Corporation stock Silver_Price: Price of silver in USD per troy ounce. Silver_Vol.: Trading volume of silver Google_Price: Stock price of Alphabet Inc. (Google) in USD. Google_Vol.: Trading volume of Alphabet Inc. stock Nvidia_Price: Stock price of Nvidia Corporation in USD. Nvidia_Vol.: Trading volume of Nvidia Corporation stock Berkshire_Price: Stock price of Berkshire Hathaway Inc. in USD. Berkshire_Vol.: Trading volume of Berkshire Hathaway Inc. stock Netflix_Price: Stock price of Netflix Inc. in USD. Netflix_Vol.: Trading volume of Netflix Inc. stock Amazon_Price: Stock price of Amazon.com Inc. in USD. Amazon_Vol.: Trading volume of Amazon.com Inc. stock Meta_Price: Stock price of Meta Platforms, Inc. (formerly Facebook) in USD. Meta_Vol.: Trading volume of Meta Platforms, Inc. stock Gold_Price: Price of gold in USD per troy ounce. Gold_Vol.: Trading volume of gold

Image attribute : Image by Freepik

This dataset is about artists. It has 1 row and is filtered where the artworks is A Copper-Smelting Works at Swansea. It features 9 columns including birth date, death date, country, and gender.

📈 Daily Historical Stock Price Data for Elvalhalcor Hellenic Copper and Aluminium Industry S.A. (1996–2025)

A clean, ready-to-use dataset containing daily stock prices for Elvalhalcor Hellenic Copper and Aluminium Industry S.A. from 1996-12-27 to 2025-05-28. This dataset is ideal for use in financial analysis, algorithmic trading, machine learning, and academic research.

  🗂️ Dataset Overview

Company: Elvalhalcor Hellenic Copper and Aluminium Industry S.A. Ticker… See the full description on the dataset page: https://huggingface.co/datasets/khaledxbenali/daily-historical-stock-price-data-for-elvalhalcor-hellenic-copper-and-aluminium-industry-sa-1996.

CN: Transaction Price: Electrolyse Copper, No 1: Chengdu data was reported at 48,200.000 RMB/Ton in Nov 2019. This records a decrease from the previous number of 48,500.000 RMB/Ton for Oct 2019. CN: Transaction Price: Electrolyse Copper, No 1: Chengdu data is updated monthly, averaging 43,500.000 RMB/Ton from Dec 1995 (Median) to Nov 2019, with 280 observations. The data reached an all-time high of 78,166.670 RMB/Ton in May 2006 and a record low of 14,800.000 RMB/Ton in Feb 1999. CN: Transaction Price: Electrolyse Copper, No 1: Chengdu data remains active status in CEIC and is reported by Price Monitoring Center, NDRC. The data is categorized under China Premium Database’s Price – Table CN.PG: Copper Price.