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.

Graph and download economic data for Real Residential Property Prices for United States (QUSR628BIS) from Q1 1970 to Q1 2025 about residential, HPI, housing, real, price index, indexes, price, and USA.

Graph and download economic data for All-Transactions House Price Index for the United States (USSTHPI) from Q1 1975 to Q1 2025 about appraisers, HPI, housing, price index, indexes, price, and USA.

Gasoline rose to 2.10 USD/Gal on July 1, 2025, up 1.85% from the previous day. Over the past month, Gasoline's price has risen 1.77%, but it is still 18.30% lower than a year ago, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Gasoline - values, historical data, forecasts and news - updated on July of 2025.

New housing price index (NHPI). Monthly data are available from January 1981. The table presents data for the most recent reference period and the last four periods. The base period for the index is (201612=100).

Historical daily dataset of the top 100 cryptocurrency. In this dataset you will get the top 100 cryptocurrency dataset, in which price , date, open, close and other information are given. Top 100 crypto on the basis of their valuation, the price of the crypto is given in the US-dollars.

Columns information: Date - Date Open - Opening price of the crypto that day High - Highest price of the crypto on that day Low - Lowest price of the crypto on that day Close - Closing price of the crypto on that day Volume - Volume traded of the crypto on that day Dividend - Dividend announce of the crypto (This is generally happened in stock , you can remove that column during analysis) Stock split - Simply remove that column during analysis, in crypto it will not happened, but before removing once check

What you can do with data - You can make a prediction model for the predicting stock price in future - You can make strategies to trade in the crypto - You can try to add some indicators and analyze them etc.

Annual descriptive price statistics for each calendar year 2005 – 2023 for 11 Local Government Districts in Northern Ireland. The statistics include: • Minimum sale price • Lower quartile sale price • Median sale price • Simple Mean sale price • Upper Quartile sale price • Maximum sale price • Number of verified sales Prices are available where at least 30 sales were recorded in the area within the calendar year which could be included in the regression model i.e. the following sales are excluded: • Non Arms-Length sales • sales of properties where the habitable space are less than 30m2 or greater than 1000m2 • sales less than £20,000. Annual median or simple mean prices should not be used to calculate the property price change over time. The quality (where quality refers to the combination of all characteristics of a residential property, both physical and locational) of the properties that are sold may differ from one time period to another. For example, sales in one quarter could be disproportionately skewed towards low-quality properties, therefore producing a biased estimate of average price. The median and simple mean prices are not ‘standardised’ and so the varying mix of properties sold in each quarter could give a false impression of the actual change in prices. In order to calculate the pure property price change over time it is necessary to compare like with like, and this can only be achieved if the ‘characteristics-mix’ of properties traded is standardised. To calculate pure property change over time please use the standardised prices in the NI House Price Index Detailed Statistics file.

How fast and how long (and to what magnitude) does a change in housing prices in one region affect its neighbors? In this paper, I apply a time series technique for measuring impulse response functions from local projections to a spatial autoregressive model of housing prices. For a dynamic panel of California counties, the data reveal that the diffusion of regional housing prices across space lasts up to two and half years. This result, and the econometric techniques employed, should be of interest not only to housing and regional economists, but to a variety of applied econometricians as well.

Key information about House Prices Growth

• Canada house prices grew 0.1% YoY in Jan 2025, following an increase of 0.1% YoY in the previous month.
• YoY growth data is updated monthly, available from Jan 1982 to Jan 2025, with an average growth rate of 1.8%.
• House price data reached an all-time high of 16.5% in Mar 1989 and a record low of -9.7% in Apr 1991.

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

Price of energy activated to maintain a balance in Elia’s control area to ensure adequacy in the Elia control area. The prices per quart-hour are indicated for every product category (if the product was actually used). Only regulation-related measures requested by Elia with a view to offsetting imbalances in the control area are included.Contains historical data since April 2018 and is refreshed daily.This dataset contains data until 21/05/2024 (before MARI local go-live).

This dataset is about stocks per day. It has 3,077 rows and is filtered where the stock is WCHS. It features 3 columns: stock, and highest price.

Interactive chart of historical daily coffee prices back to 1969. The price shown is in U.S. Dollars per pound.

This dataset is about stocks per day. It has 76 rows and is filtered where the stock is KY7.F. It features 3 columns: stock, and highest price.

Bitcoin Historical Data (2018-2024) - 15M, 1H, 4H, and 1D Timeframes

Dataset Overview

This dataset contains historical price data for Bitcoin (BTC/USDT) from January 1, 2018, to the present. The data is sourced using the Binance API, providing granular candlestick data in four timeframes: - 15-minute (15M) - 1-hour (1H) - 4-hour (4H) - 1-day (1D)

This dataset includes the following fields for each timeframe: - Open time: The timestamp for when the interval began. - Open: The price of Bitcoin at the beginning of the interval. - High: The highest price during the interval. - Low: The lowest price during the interval. - Close: The price of Bitcoin at the end of the interval. - Volume: The trading volume during the interval. - Close time: The timestamp for when the interval closed. - Quote asset volume: The total quote asset volume traded during the interval. - Number of trades: The number of trades executed within the interval. - Taker buy base asset volume: The volume of the base asset bought by takers. - Taker buy quote asset volume: The volume of the quote asset spent by takers. - Ignore: A placeholder column from Binance API, not used in analysis.

Data Sources

Binance API: Used for retrieving 15-minute, 1-hour, 4-hour, and 1-day candlestick data from 2018 to the present.

File Contents

1. btc_15m_data_2018_to_present.csv: 15-minute interval data from 2018 to the present.
2. btc_1h_data_2018_to_present.csv: 1-hour interval data from 2018 to the present.
3. btc_4h_data_2018_to_present.csv: 4-hour interval data from 2018 to the present.
4. btc_1d_data_2018_to_present.csv: 1-day interval data from 2018 to the present.

Automated Daily Updates

This dataset is automatically updated every day using a custom Python program.
The source code for the update script is available on GitHub:
🔗 Bitcoin Dataset Kaggle Auto Updater

Licensing

This dataset is provided under the CC0 Public Domain Dedication. It is free to use for any purpose, with no restrictions on usage or redistribution.

This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.

Median Home Sale Price: All Residential: Bridgeport, CT data was reported at 493.000 USD th in Jul 2020. This records an increase from the previous number of 485.000 USD th for Jun 2020. Median Home Sale Price: All Residential: Bridgeport, CT data is updated monthly, averaging 385.000 USD th from Feb 2015 (Median) to Jul 2020, with 66 observations. The data reached an all-time high of 493.000 USD th in Jul 2020 and a record low of 336.000 USD th in Feb 2019. Median Home Sale Price: All Residential: Bridgeport, CT data remains active status in CEIC and is reported by Redfin. The data is categorized under Global Database’s United States – Table US.EB056: Median Home Sale Price: by Metropolitan Areas.

Graph and download economic data for All-Transactions House Price Index for Iowa (IASTHPI) from Q1 1975 to Q1 2025 about IA, appraisers, HPI, housing, price index, indexes, price, and USA.

Median Home Sale Price: All Residential: Beaver Dam, WI data was reported at 193.000 USD th in Jul 2020. This records a decrease from the previous number of 197.000 USD th for Jun 2020. Median Home Sale Price: All Residential: Beaver Dam, WI data is updated monthly, averaging 131.000 USD th from Feb 2012 (Median) to Jul 2020, with 102 observations. The data reached an all-time high of 197.000 USD th in Jun 2020 and a record low of 87.000 USD th in Mar 2013. Median Home Sale Price: All Residential: Beaver Dam, WI data remains active status in CEIC and is reported by Redfin. The data is categorized under Global Database’s United States – Table US.EB056: Median Home Sale Price: by Metropolitan Areas.

Interactive chart of historical daily palladium prices back to 1987. The price shown is in U.S. Dollars per troy ounce.