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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.
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)
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)
Stock price prediction
Portfolio optimization
Algorithmic trading
Market sentiment analysis
Risk management
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
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
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Laos Consumer Price Index (CPI): Gas, Gold & Petrol Index data was reported at 124.410 Dec2015=100 in Aug 2018. This records a decrease from the previous number of 124.740 Dec2015=100 for Jul 2018. Laos Consumer Price Index (CPI): Gas, Gold & Petrol Index data is updated monthly, averaging 134.138 Dec2015=100 from Dec 2010 (Median) to Aug 2018, with 93 observations. The data reached an all-time high of 155.898 Dec2015=100 in Apr 2012 and a record low of 89.249 Dec2015=100 in Apr 2016. Laos Consumer Price Index (CPI): Gas, Gold & Petrol Index data remains active status in CEIC and is reported by Lao Statistics Bureau. The data is categorized under Global Database’s Laos – Table LA.I001: Consumer Price Index: Dec2015=100.
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Gold fell to 3,350.92 USD/t.oz on July 14, 2025, down 0.18% from the previous day. Over the past month, Gold's price has fallen 0.98%, but it is still 38.32% higher than a year ago, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Gold - values, historical data, forecasts and news - updated on July of 2025.
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CN: CPI: MoM: Domestic Gold Jewelry data was reported at 102.300 Prev Mth=100 in Mar 2025. This records a decrease from the previous number of 103.000 Prev Mth=100 for Jan 2025. CN: CPI: MoM: Domestic Gold Jewelry data is updated monthly, averaging 103.600 Prev Mth=100 from Mar 2024 (Median) to Mar 2025, with 6 observations. The data reached an all-time high of 108.700 Prev Mth=100 in Apr 2024 and a record low of 101.600 Prev Mth=100 in Jul 2024. CN: CPI: MoM: Domestic Gold Jewelry data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s Inflation – Table CN.IA: Consumer Price Index: Previous Month=100.
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Russia Consumer Price Index (CPI): Weights: Services: HU: Utilities: Gold Water Supply: per Cub m data was reported at 0.590 % in 2019. This records an increase from the previous number of 0.586 % for 2018. Russia Consumer Price Index (CPI): Weights: Services: HU: Utilities: Gold Water Supply: per Cub m data is updated yearly, averaging 0.556 % from Dec 2012 (Median) to 2019, with 8 observations. The data reached an all-time high of 0.590 % in 2019 and a record low of 0.289 % in 2012. Russia Consumer Price Index (CPI): Weights: Services: HU: Utilities: Gold Water Supply: per Cub m data remains active status in CEIC and is reported by Federal State Statistics Service. The data is categorized under Russia Premium Database’s Inflation – Table RU.IA027: Consumer Price Index: Weights.
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Turkey Consumer Price Index (CPI): YoY: excl AT, Energy, Unprocessed Food & Gold data was reported at 36.810 % in Apr 2025. This records a decrease from the previous number of 36.990 % for Mar 2025. Turkey Consumer Price Index (CPI): YoY: excl AT, Energy, Unprocessed Food & Gold data is updated monthly, averaging 9.170 % from Jan 2005 (Median) to Apr 2025, with 244 observations. The data reached an all-time high of 77.010 % in Oct 2022 and a record low of 2.310 % in Jun 2009. Turkey Consumer Price Index (CPI): YoY: excl AT, Energy, Unprocessed Food & Gold data remains active status in CEIC and is reported by Turkish Statistical Institute. The data is categorized under Global Database’s Turkey – Table TR.I002: Consumer Price Index: 2003=100.
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Monthly data on prices of SJC and 9999 gold as well as CPI in
Open Database License (ODbL) v1.0https://www.opendatacommons.org/licenses/odbl/1.0/
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EGPB - An Event-based Gold Price Benchmark Dataset
This benchmark dataset consists of 8030 rows and 36 variables sourced from multiple credible economic websites, covering a period from January 2001 to December 2022. This dataset can be utilized to predict gold prices specifically or to aid any economic field that is influenced by the variables in this dataset.
Key variables & Features include:
• Previous gold prices
• Future gold prices with predictions for one day, one week, and one month
• Oil prices
• Standard & Poor's 500 Index (S&P 500)
• Dow Jones Industrial (DJI)
• US dollar index
• US treasury
• Inflation rate
• Consumer price index (CPI)
• Federal funds rate
• Silver prices
• Copper prices
• Iron prices
• Platinum prices
• Palladium prices
Additionally, the dataset considers global events that may impact gold prices, which were categorized into groups and collected from three distinct sources: the Al-Jazeera website spanning from 2022 to 2019, the Investing website spanning from 2018 to 2016, and the Yahoo Finance website spanning from 2007 to 2001.
These events data were then divided into multiple groups:
• Economic data
• Politics
• logistics
• Oil
• OPEC
• Dollar currency
• Sterling pound currency
• Russian ruble currency
• Yen currency
• Euro currency
• US stocks
• Global stocks
• Inflation
• Job reports
• Unemployment rates
• CPI rate
• Interest rates
• Bonds
These events were encoded using a numeric value, where 0 represented no events, 1 represented low events, 2 represented high events, 3 represented stable events, 4 represented unstable events, and 5 represented events that were observed during the day but had no effect on the dataset.
Cite this dataset: Farah Mansour and Wael Etaiwi, "EGPBD: An Event-based Gold Price Benchmark Dataset," 2023 3rd International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME), Tenerife, Canary Islands, Spain, 2023, pp. 1-7, doi: 10.1109/ICECCME57830.2023.10252987.
@INPROCEEDINGS{10252987, author={Mansour, Farah and Etaiwi, Wael}, booktitle={2023 3rd International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME)}, title={EGPBD: An Event-based Gold Price Benchmark Dataset}, year={2023}, volume={}, number={}, pages={1-7}, doi={10.1109/ICECCME57830.2023.10252987}}
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Forecast: Gold Used in American Eagle Gold Bullion Coin Production in the US 2024 - 2028 Discover more data with ReportLinker!
This statistic displays the distribution of gold bar and coin demand worldwide in 2018, with a breakdown by region. In that year, Asia accounted for a ** percent share of the global demand for gold bars and coins.
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Turkey Consumer Price Index (CPI): Goods: GE: Alcoholic Beverages, Tobacco & Gold data was reported at 686.770 2003=100 in Oct 2018. This records a decrease from the previous number of 696.170 2003=100 for Sep 2018. Turkey Consumer Price Index (CPI): Goods: GE: Alcoholic Beverages, Tobacco & Gold data is updated monthly, averaging 299.265 2003=100 from Jan 2003 (Median) to Oct 2018, with 190 observations. The data reached an all-time high of 696.170 2003=100 in Sep 2018 and a record low of 92.500 2003=100 in May 2003. Turkey Consumer Price Index (CPI): Goods: GE: Alcoholic Beverages, Tobacco & Gold data remains active status in CEIC and is reported by Turkish Statistical Institute. The data is categorized under Global Database’s Turkey – Table TR.I002: Consumer Price Index: 2003=100.
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Core consumer prices in the United States increased 2.80 percent in May of 2025 over the same month in the previous year. This dataset provides - United States Core Inflation Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.
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Exports of Gold Coin Whether Or Not Legal Tender in Australia increased to 167 AUD Million in February from 66 AUD Million in January of 2024. This dataset includes a chart with historical data for Australia Exports of Gold Coin Whether Or Not Legal Tender.
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Turkey Investment Yield: Gold: Real:(CPI) Consumer Price IndexBased: 3 Month data was reported at 8.030 % pa in Jun 2018. This records a decrease from the previous number of 9.860 % pa for May 2018. Turkey Investment Yield: Gold: Real:(CPI) Consumer Price IndexBased: 3 Month data is updated monthly, averaging 0.215 % pa from Jan 1997 (Median) to Jun 2018, with 258 observations. The data reached an all-time high of 44.400 % pa in Apr 2001 and a record low of -25.700 % pa in Jan 2002. Turkey Investment Yield: Gold: Real:(CPI) Consumer Price IndexBased: 3 Month data remains active status in CEIC and is reported by Turkish Statistical Institute. The data is categorized under Global Database’s Turkey – Table TR.Z022: Yield on Financial Investments.
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Statistics illustrates consumption, production, prices, and trade of Coin (other than gold coin), not being legal tender in American Samoa from 2007 to 2024.
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This study focuses on factors supportive of gold’s bull run. In the light of the increasing complexity of the bullion market, we try to use a comprehensive robust framework to examine the importance of each factor in determining the prices. The random tree regression results show that macro factors such as central bank buying and inflows into gold ETFs, the Fed’s policy tilts and U.S. government debt, have played a crucial role while short-term factors, like 10-Year Treasury Inflation-Indexed Security Rate, S&P 500, gold to silver ratio, USD Index, employment report, and CPI, have taken a back seat. Gold acts as a quintessential hedge against inflation and uncertainties.
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Statistics illustrates consumption, production, prices, and trade of Coin (other than gold coin), not being legal tender in Kosovo from 2007 to 2024.
Subscribers can find out export and import data of 23 countries by HS code or product’s name. This demo is helpful for market analysis.
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55 Global export shipment records of Gold Coin with prices, volume & current Buyer's suppliers relationships based on actual Global export trade database.
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Context
The dataset illustrates the median household income in Gold Bar, spanning the years from 2010 to 2023, with all figures adjusted to 2023 inflation-adjusted dollars. Based on the latest 2019-2023 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 2023, the median household income for Gold Bar increased by $18,187 (23.59%), as per the American Community Survey estimates. In comparison, median household income for the United States increased by $5,602 (7.68%) between 2010 and 2023.
Analyzing the trend in median household income between the years 2010 and 2023, spanning 13 annual cycles, we observed that median household income, when adjusted for 2023 inflation using the Consumer Price Index retroactive series (R-CPI-U-RS), experienced growth year by year for 7 years and declined for 6 years.
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. All incomes have been adjusting for inflation and are presented in 2022-inflation-adjusted dollars.
Years for which data is available:
Variables / Data Columns
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.
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/.
This dataset is a part of the main dataset for Gold Bar median household income. You can refer the same here
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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.
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)
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)
Stock price prediction
Portfolio optimization
Algorithmic trading
Market sentiment analysis
Risk management
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
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