A simple yet challenging project, to predict the housing price based on certain factors like house area, bedrooms, furnished, parking etc. Regression Techniques used to predict price of the house

View monthly updates and historical trends for Food Price Index. Source: World Bank. Track economic data with YCharts analytics.

Average House Price

Graph and download economic data for All-Transactions House Price Index for Sussex County, DE (ATNHPIUS10005A) from 1983 to 2024 about Sussex County, DE; DE; HPI; housing; price index; indexes; price; and USA.

How much do fruits and vegetables cost? ERS estimated average prices for 153 commonly consumed fresh and processed fruits and vegetables.

The price of paper is represented by a Bureau of Labor Statistics index that measures the prices received by paper manufacturers for their products. The index has a base year of 1982.

Comprehensive 2025 construction cost dataset for home improvements projects in California, including labor rates, material costs, permit fees, timeline data, and market trends

The S&P Case Shiller Portland Home Price Index has increased steadily in recent years. The index measures changes in the prices of existing single-family homes. The index value was equal to 100 as of January 2000, so if the index value is equal to *** in a given month, for example, it means that the house prices have increased by ** percent since 2000. The value of the S&P Case Shiller Portland Home Price Index amounted to ***** in August 2024. That was higher the national average.

Comprehensive 2025 construction cost dataset for home improvements projects in Philadelphia, Pennsylvania, including labor rates, material costs, permit fees, timeline data, and market trends

This dataset contains historical data on Tesla stock prices over a specific period of time. Includes data on the opening price, closing price, the highest and lowest price for each day, as well as trading volume. Use this dataset to analyze and forecast Tesla stock price movements and other financial research.

Graph and download economic data for All-Transactions House Price Index for Missoula, MT (MSA) (ATNHPIUS33540Q) from Q2 1987 to Q3 2025 about Missoula, MT, appraisers, HPI, housing, price index, indexes, price, and USA.

A "spread" can have multiple meanings, but it generally implies a difference between two comparable measures. These can be differences across space, across time, or across anything with a similar attribute. For example, in the stock market, there is a spread between the highest price a buyer is willing to pay and the lowest price a seller is willing to accept.

In this dataset, spread refers to differences in prices between two locations, an origin (e.g., Illinois, Iowa, etc.) and a destination (e.g., Louisiana Gulf, Pacific Northwest, etc.). Mathematically, it is the destination price minus the origin price.

Price spreads are closely linked to transportation. They tend to reflect the costs of moving goods from one point to another, all else constant. Fluctuations in spreads can change the flow of goods (where it may be more profitable to ship to a different location), as well as indicate changes in transportation availability (e.g., disruptions). For more information on how price spreads are linked to transportation, see the story, "Grain Prices, Basis, and Transportation" (https://agtransport.usda.gov/stories/s/sjmk-tkh6).

This is one of three companion datasets. The other two are grain prices (https://agtransport.usda.gov/d/g92w-8cn7) and grain basis (https://agtransport.usda.gov/d/v85y-3hep). These datasets are separate, because the coverage lengths differ and missing values are removed (e.g., there needs to be a cash price and a futures price to have a basis price, and there needs to be both an origin and a destination to have a price spread).

The origin and destination prices come from the grain prices dataset.

Graph and download economic data for Housing Inventory: Median Listing Price in Virginia (MEDLISPRIVA) from Jul 2016 to Oct 2025 about VA, listing, median, price, and USA.

Historical class-level data for the Consumer Prices Index including owner occupiers' housing costs (CPIH), which extends the series back to 1988. Index values for 1988 to 2004, and annual growth rates for 1989 to 2005 are provided for indicative purposes only and do not form part of the National Statistic series.

As of the second quarter of 2019, the price for *** Gigabyte amounted to approximately *** U.S. dollars, a decrease of approximately *** U.S. dollars compared to 2017. Compared to its neighboring countries like Singapore and Malaysia, the data price in Indonesia was the lowest. Affordable price versus broadband infrastructure As smartphone users tend to communicate through mobile apps such as Whatsapp or Messenger more than via text message or phone call, the affordability of mobile internet is crucial. Good broadband infrastructure and economic growth in the country determine whether the internet providers can fulfill the demand while maintaining affordable prices. In late 2019 Indonesia’s government completed the Palapa Ring Project, an infrastructure project that aimed to provide access to ** internet services across the country. With this, Indonesia’s digital economy is expected to grow faster. PT Telkomsel, the largest mobile internet provider
Other than communication related apps, shopping and social media apps had the highest reach levels among Indonesian smartphone users. On average, a smartphone user in Indonesia spent about **** minutes per day for communication. In 2018, PT Telkom Indonesia Group had a share of **** percent of the fixed broadband market in Indonesia. Besides being the largest telecommunications and network provider in Indonesia, Telkomsel is also the most popular mobile internet provider to browse the internet, followed by Indosat and XL.

Graph and download economic data for Housing Inventory: Median Listing Price in Billings, MT (CBSA) (MEDLISPRI13740) from Jul 2016 to Oct 2025 about Billings, MT, listing, median, price, and USA.

House price index in South Korea, June, 2025 The most recent value is 142.39 index points as of Q2 2025, an increase compared to the previous value of 142.34 index points. Historically, the average for South Korea from Q1 1990 to Q2 2025 is 94.5 index points. The minimum of 57.48 index points was recorded in Q4 1998, while the maximum of 154.12 index points was reached in Q2 2022. | TheGlobalEconomy.com

All-Transactions House Price Index for Ann Arbor, MI (MSA) was 329.82000 Index 1995 Q1=100 in April of 2025, according to the United States Federal Reserve. Historically, All-Transactions House Price Index for Ann Arbor, MI (MSA) reached a record high of 329.82000 in April of 2025 and a record low of 46.01000 in April of 1978. Trading Economics provides the current actual value, an historical data chart and related indicators for All-Transactions House Price Index for Ann Arbor, MI (MSA) - last updated from the United States Federal Reserve on December of 2025.

Techsalerator offers an extensive dataset of End-of-Day Pricing Data for all 93 companies listed on the Bucharest Stock Exchange* (XBSE) in Romania. This dataset includes the closing prices of equities (stocks), bonds, and indices at the end of each trading session. End-of-day prices are vital pieces of market data that are widely used by investors, traders, and financial institutions to monitor the performance and value of these assets over time.

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Top 5 used data fields in the End-of-Day Pricing Dataset for Romania:

1. Equity Closing Price :The closing price of individual company stocks at the end of the trading day.This field provides insights into the final price at which market participants were willing to buy or sell shares of a specific company.

2. Bond Closing Price: The closing price of various fixed-income securities, including government bonds, corporate bonds, and municipal bonds. Bond investors use this field to assess the current market value of their bond holdings.

3. Index Closing Price: The closing value of market indices, such as the Botswana stock market index, at the end of the trading day. These indices track the overall market performance and direction.

4. Equity Ticker Symbol: The unique symbol used to identify individual company stocks. Ticker symbols facilitate efficient trading and data retrieval.

5. Date of Closing Price: The specific trading day for which the closing price is provided. This date is essential for historical analysis and trend monitoring.

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Top 5 financial instruments with End-of-Day Pricing Data in Romania:

Bucharest Stock Exchange Domestic Company Index: The main index that tracks the performance of domestic companies listed on the Bucharest Stock Exchange. This index provides an overview of the overall market performance in Romania.

Bucharest Stock Exchange Foreign Company Index: The index that tracks the performance of foreign companies listed on the Bucharest Stock Exchange. This index reflects the performance of international companies operating in Romania.

Company A: A prominent Romanian company with diversified operations across various sectors, such as manufacturing, technology, or finance. This company's stock is widely traded on the Bucharest Stock Exchange.

Company B: A leading financial institution in Romania, offering banking, insurance, or investment services. This company's stock is actively traded on the Bucharest Stock Exchange.

Company C: A major player in the Romanian energy or consumer goods sector, involved in the production and distribution of related products. This company's stock is listed and actively traded on the Bucharest Stock Exchange.

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If you're interested in accessing Techsalerator's End-of-Day Pricing Data for Romania, please contact info@techsalerator.com with your specific requirements. Techsalerator will provide you with a customized quote based on the number of data fields and records you need. The dataset can be delivered within 24 hours, and ongoing access options can be discussed if needed.

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Data fields included:

Equity Ticker Symbol Equity Closing Price Bond Ticker Symbol Bond Closing Price Index Ticker Symbol Index Closing Price Date of Closing Price Equity Name Equity Volume Equity High Price Equity Low Price Equity Open Price Bond Name Bond Coupon Rate Bond Maturity Index Name Index Change Index Percent Change Exchange Currency Total Market Capitalization Dividend Yield Price-to-Earnings Ratio (P/E) ‍

Q&A:

1. How much does the End-of-Day Pricing Data cost in Romania ?

The cost of this dataset may vary depending on factors such as the number of data fields, the frequency of updates, and the total records count. For precise pricing details, it is recommended to directly consult with a Techsalerator Data specialist.

1. How complete is the End-of-Day Pricing Data coverage in Romania ?

Techsalerator provides comprehensive coverage of End-of-Day Pricing Data for various financial instruments, including equities, bonds, and indices. Thedataset encompasses major companies and securities traded on Romania exchanges.

1. How does Techsalerator collect this data?

Techsalerator collects End-of-Day Pricing Data from reliable sources, including stock exchanges, financial news outlets, and other market data providers. Data is carefully curated to ensure accuracy and reliability.

1. Can I select specific financial instruments or multiple countries with Techsalerator's End-of-Day Pricing Data?

Techsalerator offers the flexibility to select specific financial instruments, such as equities, bonds, or indices, depending on your needs. While the dataset focuses on Botswana, Techsalerator also provides data for other countries and international markets.

1. How do I pay for this dataset?

Techsalerator accepts various payment methods, including credit cards, direct transfers, ACH,...

In 2024, the instant coffee segment led the coffee market in the United States in terms of average price per unit, reaching approximately ***** U.S. dollars. The roast coffee segment followed, with an average price per unit of around ***** U.S. dollars.