The price of gold per troy ounce increased considerably between 1990 and 2025, despite some fluctuations. A troy ounce is the international common unit of weight used for precious metals and is approximately **** grams. At the end of 2024, a troy ounce of gold cost ******* U.S. dollars. As of * June 2025, it increased considerably to ******** U.S. dollars. Price of – additional information In 2000, the price of gold was at its lowest since 1990, with a troy ounce of gold costing ***** U.S. dollars in that year. Since then, gold prices have been rising and after the economic crisis of 2008, the price of gold rose at higher rates than ever before as the market began to see gold as an increasingly good investment. History has shown, gold is seen as a good investment in times of uncertainty because it can or is thought to function as a good store of value against a declining currency as well as providing protection against inflation. However, unlike other commodities, once gold is mined it does not get used up like other commodities (for example, such as gasoline). So while gold may be a good investment at times, the supply demand argument does not apply to gold. Nonetheless, the demand for gold has been mostly consistent.

View yearly updates and historical trends for Gold Price in US Dollars. from United States. Source: Gold Council. Track economic data with YCharts analyti…

Dataset

This dataset was created by Nguyễn Văn Phong

Contents

Dataset of historical annual gold prices from 1970 to 2024, including significant events and acts that impacted gold prices.

Context

Gold rates differ from place to place, here is the dataset which included major six countries' Gold rates. This data can also be viewed as a Time Series data.

Content

This dataset contains two csv files - -**Daily gold rates** : which includes daily data of gold rates from 1st Jan 1985 to 8th September 2023 -**Annual average gold rates** : this file includes average annual gold rate in their national currency from 1978 to 2021 -The rates are in their national currencies and per troy ounce -Currencies included are USD, INR, AED, EUR, GBP, CNY

Acknowledgements

This data was collected from https://www.gold.org/goldhub and then cleaned. Banner by Unsplash

Inspiration

Things which can be done with this data: - Time series analysis and prediction - EDA and Visualization of the gold rates - Country that has highest and lowest rate in their national currency (Latest Years)

Chile Average Price: Gold data was reported at 1,249.887 USD/Troy oz in Dec 2018. This records an increase from the previous number of 1,221.275 USD/Troy oz for Nov 2018. Chile Average Price: Gold data is updated monthly, averaging 400.616 USD/Troy oz from Jan 1978 (Median) to Dec 2018, with 492 observations. The data reached an all-time high of 1,780.648 USD/Troy oz in Sep 2011 and a record low of 173.200 USD/Troy oz in Jan 1978. Chile Average Price: Gold data remains active status in CEIC and is reported by Chilean Copper Commission. The data is categorized under Global Database’s Chile – Table CL.P001: Metal Prices.

Banking and stock markets consider gold to be an important component of their economic and financial status. There are various factors that influence the gold price trend and its fluctuations. Accurate and reliable prediction of the gold price is an essential part of financial and portfolio management. Moreover, it could provide insights about potential buy and sell points in order to prevent financial damages and reduce the risk of investment. In this paper, different architectures of deep neural network (DNN) have been proposed based on long short-term memory (LSTM) and convolutional-based neural networks (CNN) as a hybrid model, along with automatic parameter tuning to increase the accuracy, coefficient of determination, of the forecasting results. An illustrative dataset from the closing gold prices for 44 years, from 1978 to 2021, is provided to demonstrate the effectiveness and feasibility of this method. The grid search technique finds the optimal set of DNNs’ parameters. Furthermore, to assess the efficiency of DNN models, three statistical indices of RMSE, RMAE, and coefficient of determination (R2), were calculated for the test set. Results indicate that the proposed hybrid model (CNN-Bi-LSTM) outperforms other models in total bias, capturing extreme values and obtaining promising results. In this model, CNN is used to extract features of input dataset. Furthermore, Bi-LSTM uses CNN’s outputs to predict the daily closing gold price.

Graph and download economic data for Producer Price Index by Commodity: Miscellaneous Products: Jewelry (Gold and Platinum) and Silverware (WPU159402) from Dec 1978 to Aug 2025 about platinum, jewelry, miscellaneous, gold, commodities, PPI, inflation, price index, indexes, price, and USA.

Banking and stock markets consider gold to be an important component of their economic and financial status. There are various factors that influence the gold price trend and its fluctuations. Accurate and reliable prediction of the gold price is an essential part of financial and portfolio management. Moreover, it could provide insights about potential buy and sell points in order to prevent financial damages and reduce the risk of investment. In this paper, different architectures of deep neural network (DNN) have been proposed based on long short-term memory (LSTM) and convolutional-based neural networks (CNN) as a hybrid model, along with automatic parameter tuning to increase the accuracy, coefficient of determination, of the forecasting results. An illustrative dataset from the closing gold prices for 44 years, from 1978 to 2021, is provided to demonstrate the effectiveness and feasibility of this method. The grid search technique finds the optimal set of DNNs’ parameters. Furthermore, to assess the efficiency of DNN models, three statistical indices of RMSE, RMAE, and coefficient of determination (R2), were calculated for the test set. Results indicate that the proposed hybrid model (CNN-Bi-LSTM) outperforms other models in total bias, capturing extreme values and obtaining promising results. In this model, CNN is used to extract features of input dataset. Furthermore, Bi-LSTM uses CNN’s outputs to predict the daily closing gold price.

United States - Producer Price Index by Commodity: Miscellaneous Products: Jewelry (Gold and Platinum) and Silverware was 348.02500 Index 1982=100 in August of 2025, according to the United States Federal Reserve. Historically, United States - Producer Price Index by Commodity: Miscellaneous Products: Jewelry (Gold and Platinum) and Silverware reached a record high of 348.44300 in July of 2025 and a record low of 57.30000 in December of 1978. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Producer Price Index by Commodity: Miscellaneous Products: Jewelry (Gold and Platinum) and Silverware - last updated from the United States Federal Reserve on November of 2025.

Banking and stock markets consider gold to be an important component of their economic and financial status. There are various factors that influence the gold price trend and its fluctuations. Accurate and reliable prediction of the gold price is an essential part of financial and portfolio management. Moreover, it could provide insights about potential buy and sell points in order to prevent financial damages and reduce the risk of investment. In this paper, different architectures of deep neural network (DNN) have been proposed based on long short-term memory (LSTM) and convolutional-based neural networks (CNN) as a hybrid model, along with automatic parameter tuning to increase the accuracy, coefficient of determination, of the forecasting results. An illustrative dataset from the closing gold prices for 44 years, from 1978 to 2021, is provided to demonstrate the effectiveness and feasibility of this method. The grid search technique finds the optimal set of DNNs’ parameters. Furthermore, to assess the efficiency of DNN models, three statistical indices of RMSE, RMAE, and coefficient of determination (R2), were calculated for the test set. Results indicate that the proposed hybrid model (CNN-Bi-LSTM) outperforms other models in total bias, capturing extreme values and obtaining promising results. In this model, CNN is used to extract features of input dataset. Furthermore, Bi-LSTM uses CNN’s outputs to predict the daily closing gold price.

Graph and download economic data for Producer Price Index by Industry: Jewelry and Silverware Manufacturing: Jewelry, Gold and Platinum (PCU3399103399101) from Dec 1978 to Sep 2025 about utensils, jewelry, manufacturing, PPI, industry, inflation, price index, indexes, price, and USA.

United States PPI: Misc Pdts: Oth: Jewelry & Pdts: Jewelry, Platinum & Karat Gold data was reported at 227.500 1982=100 in Jun 2018. This records a decrease from the previous number of 228.300 1982=100 for May 2018. United States PPI: Misc Pdts: Oth: Jewelry & Pdts: Jewelry, Platinum & Karat Gold data is updated monthly, averaging 128.350 1982=100 from Dec 1978 (Median) to Jun 2018, with 474 observations. The data reached an all-time high of 247.400 1982=100 in Mar 2013 and a record low of 57.300 1982=100 in Dec 1978. United States PPI: Misc Pdts: Oth: Jewelry & Pdts: Jewelry, Platinum & Karat Gold data remains active status in CEIC and is reported by Bureau of Labor Statistics. The data is categorized under Global Database’s USA – Table US.I017: Producer Price Index: By Commodities.

Solomon Islands SB: International Liquidity: Total Reserves: Including Gold at Market Price data was reported at 617.514 USD mn in Jun 2018. This records a decrease from the previous number of 621.758 USD mn for May 2018. Solomon Islands SB: International Liquidity: Total Reserves: Including Gold at Market Price data is updated monthly, averaging 36.945 USD mn from Dec 1977 (Median) to Jun 2018, with 487 observations. The data reached an all-time high of 633.524 USD mn in Apr 2018 and a record low of 2.568 USD mn in Jan 1978. Solomon Islands SB: International Liquidity: Total Reserves: Including Gold at Market Price data remains active status in CEIC and is reported by International Monetary Fund. The data is categorized under Global Database’s Solomon Islands – Table SB.IMF.IFS: International Liquidity.

Gabon GA: International Liquidity: Total Reserves: Including Gold at Market Price data was reported at 848.419 USD mn in Mar 2018. This records a decrease from the previous number of 965.054 USD mn for Dec 2017. Gabon GA: International Liquidity: Total Reserves: Including Gold at Market Price data is updated quarterly, averaging 146.069 USD mn from Mar 1965 (Median) to Mar 2018, with 213 observations. The data reached an all-time high of 3.004 USD bn in Dec 2013 and a record low of -34.515 USD mn in Mar 1978. Gabon GA: International Liquidity: Total Reserves: Including Gold at Market Price data remains active status in CEIC and is reported by International Monetary Fund. The data is categorized under Global Database’s Gabon – Table GA.IMF.IFS: International Liquidity: Quarterly.

CV: International Liquidity: Gold at Market Price data was reported at 0.000 XDR mn in Jun 2018. This stayed constant from the previous number of 0.000 XDR mn for Mar 2018. CV: International Liquidity: Gold at Market Price data is updated quarterly, averaging 0.000 XDR mn from Mar 1978 (Median) to Jun 2018, with 160 observations. CV: International Liquidity: Gold at Market Price data remains active status in CEIC and is reported by International Monetary Fund. The data is categorized under Global Database’s Cabo Verde – Table CV.IMF.IFS: International Liquidity: Quarterly.

Seychelles SC: International Liquidity: Total Reserves: Including Gold at Market Price data was reported at 553.450 USD mn in Jun 2018. This records a decrease from the previous number of 554.767 USD mn for Mar 2018. Seychelles SC: International Liquidity: Total Reserves: Including Gold at Market Price data is updated quarterly, averaging 29.754 USD mn from Dec 1978 (Median) to Jun 2018, with 159 observations. The data reached an all-time high of 555.341 USD mn in Mar 2016 and a record low of 2.359 USD mn in Sep 1986. Seychelles SC: International Liquidity: Total Reserves: Including Gold at Market Price data remains active status in CEIC and is reported by International Monetary Fund. The data is categorized under Global Database’s Seychelles – Table SC.IMF.IFS: International Liquidity: Quarterly.

Seychelles SC: International Liquidity: Total Reserves: Including Gold at Market Price data was reported at 545.203 USD mn in 2017. This records an increase from the previous number of 523.504 USD mn for 2016. Seychelles SC: International Liquidity: Total Reserves: Including Gold at Market Price data is updated yearly, averaging 30.802 USD mn from Dec 1978 (Median) to 2017, with 40 observations. The data reached an all-time high of 545.203 USD mn in 2017 and a record low of 5.400 USD mn in 1984. Seychelles SC: International Liquidity: Total Reserves: Including Gold at Market Price data remains active status in CEIC and is reported by International Monetary Fund. The data is categorized under Global Database’s Seychelles – Table SC.IMF.IFS: International Liquidity: Annual.