100+ datasets found
  1. T

    United States Existing Home Sales

    • tradingeconomics.com
    • ar.tradingeconomics.com
    • +12more
    csv, excel, json, xml
    Updated Aug 21, 2025
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    TRADING ECONOMICS (2025). United States Existing Home Sales [Dataset]. https://tradingeconomics.com/united-states/existing-home-sales
    Explore at:
    csv, json, xml, excelAvailable download formats
    Dataset updated
    Aug 21, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 31, 1968 - Jul 31, 2025
    Area covered
    United States
    Description

    Existing Home Sales in the United States increased to 4010 Thousand in July from 3930 Thousand in June of 2025. This dataset provides the latest reported value for - United States Existing Home Sales - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

  2. Global retail e-commerce sales 2022-2028

    • statista.com
    Updated Jun 24, 2025
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    Statista (2025). Global retail e-commerce sales 2022-2028 [Dataset]. https://www.statista.com/statistics/379046/worldwide-retail-e-commerce-sales/
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    Dataset updated
    Jun 24, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Feb 2025
    Area covered
    Worldwide
    Description

    In 2024, global retail e-commerce sales reached an estimated ************ U.S. dollars. Projections indicate a ** percent growth in this figure over the coming years, with expectations to come close to ************** dollars by 2028. World players Among the key players on the world stage, the American marketplace giant Amazon holds the title of the largest e-commerce player globally, with a gross merchandise value of nearly *********** U.S. dollars in 2024. Amazon was also the most valuable retail brand globally, followed by mostly American competitors such as Walmart and the Home Depot. Leading e-tailing regions E-commerce is a dormant channel globally, but nowhere has it been as successful as in Asia. In 2024, the e-commerce revenue in that continent alone was measured at nearly ************ U.S. dollars, outperforming the Americas and Europe. That year, the up-and-coming e-commerce markets also centered around Asia. The Philippines and India stood out as the swiftest-growing e-commerce markets based on online sales, anticipating a growth rate surpassing ** percent.

  3. Number of existing homes sold in the U.S. 1995-2024, with a forecast until...

    • statista.com
    Updated Apr 28, 2025
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    Statista (2025). Number of existing homes sold in the U.S. 1995-2024, with a forecast until 2026 [Dataset]. https://www.statista.com/statistics/226144/us-existing-home-sales/
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    Dataset updated
    Apr 28, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    The number of U.S. home sales in the United States declined in 2024, after soaring in 2021. A total of four million transactions of existing homes, including single-family, condo, and co-ops, were completed in 2024, down from 6.12 million in 2021. According to the forecast, the housing market is forecast to head for recovery in 2025, despite transaction volumes expected to remain below the long-term average. Why have home sales declined? The housing boom during the coronavirus pandemic has demonstrated that being a homeowner is still an integral part of the American dream. Nevertheless, sentiment declined in the second half of 2022 and Americans across all generations agreed that the time was not right to buy a home. A combination of factors has led to house prices rocketing and making homeownership unaffordable for the average buyer. A survey among owners and renters found that the high home prices and unfavorable economic conditions were the two main barriers to making a home purchase. People who would like to purchase their own home need to save up a deposit, have a good credit score, and a steady and sufficient income to be approved for a mortgage. In 2022, mortgage rates experienced the most aggressive increase in history, making the total cost of homeownership substantially higher. Are U.S. home prices expected to fall? The median sales price of existing homes stood at 413,000 U.S. dollars in 2024 and was forecast to increase slightly until 2026. The development of the S&P/Case Shiller U.S. National Home Price Index shows that home prices experienced seven consecutive months of decline between June 2022 and January 2023, but this trend reversed in the following months. Despite mild fluctuations throughout the year, home prices in many metros are forecast to continue to grow, albeit at a much slower rate.

  4. F

    Median Sales Price of Houses Sold for the United States

    • fred.stlouisfed.org
    json
    Updated Jul 24, 2025
    + more versions
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    (2025). Median Sales Price of Houses Sold for the United States [Dataset]. https://fred.stlouisfed.org/series/MSPUS
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Jul 24, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Area covered
    United States
    Description

    Graph and download economic data for Median Sales Price of Houses Sold for the United States (MSPUS) from Q1 1963 to Q2 2025 about sales, median, housing, and USA.

  5. F

    Average Sales Price of Houses Sold for the United States

    • fred.stlouisfed.org
    json
    Updated Jul 24, 2025
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    (2025). Average Sales Price of Houses Sold for the United States [Dataset]. https://fred.stlouisfed.org/series/ASPUS
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Jul 24, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Area covered
    United States
    Description

    Graph and download economic data for Average Sales Price of Houses Sold for the United States (ASPUS) from Q1 1963 to Q2 2025 about sales, housing, and USA.

  6. T

    US Retail Sales

    • tradingeconomics.com
    • zh.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Aug 15, 2025
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    TRADING ECONOMICS (2025). US Retail Sales [Dataset]. https://tradingeconomics.com/united-states/retail-sales
    Explore at:
    csv, xml, excel, jsonAvailable download formats
    Dataset updated
    Aug 15, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Feb 29, 1992 - Jul 31, 2025
    Area covered
    United States
    Description

    Retail Sales in the United States increased 0.50 percent in July of 2025 over the previous month. This dataset provides - U.S. December Retail Sales Increased More Than Forecast - actual values, historical data, forecast, chart, statistics, economic calendar and news.

  7. T

    United States Retail Sales YoY

    • tradingeconomics.com
    • pt.tradingeconomics.com
    • +12more
    csv, excel, json, xml
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    TRADING ECONOMICS, United States Retail Sales YoY [Dataset]. https://tradingeconomics.com/united-states/retail-sales-annual
    Explore at:
    json, xml, csv, excelAvailable download formats
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 31, 1993 - Jul 31, 2025
    Area covered
    United States
    Description

    Retail Sales in the United States increased 3.90 percent in July of 2025 over the same month in the previous year. This dataset provides - United States Retail Sales YoY - actual values, historical data, forecast, chart, statistics, economic calendar and news.

  8. Number of home sales in the U.S. 2014-2024 with forecast until 2026

    • statista.com
    Updated Jun 20, 2025
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    Statista (2025). Number of home sales in the U.S. 2014-2024 with forecast until 2026 [Dataset]. https://www.statista.com/statistics/275156/total-home-sales-in-the-united-states-from-2009/
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    Dataset updated
    Jun 20, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    The number of home sales in the United States peaked in 2021 at almost ************* after steadily rising since 2018. Nevertheless, the market contracted in the following year, with transaction volumes falling to ***********. Home sales remained muted in 2024, with a mild increase expected in 2025 and 2026. A major factor driving this trend is the unprecedented increase in mortgage interest rates due to high inflation. How have U.S. home prices developed over time? The average sales price of new homes has also been rising since 2011. Buyer confidence seems to have recovered after the property crash, which has increased demand for homes and also the prices sellers are demanding for homes. At the same time, the affordability of U.S. homes has decreased. Both the number of existing and newly built homes sold has declined since the housing market boom during the coronavirus pandemic. Challenges in housing supply The number of housing units in the U.S. rose steadily between 1975 and 2005 but has remained fairly stable since then. Construction increased notably in the 1990s and early 2000s, with the number of construction starts steadily rising, before plummeting amid the infamous housing market crash. Housing starts slowly started to pick up in 2011, mirroring the economic recovery. In 2022, the supply of newly built homes plummeted again, as supply chain challenges following the COVID-19 pandemic and tariffs on essential construction materials such as steel and lumber led to prices soaring.

  9. T

    United States New Home Sales

    • tradingeconomics.com
    • it.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated May 23, 2025
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    TRADING ECONOMICS (2025). United States New Home Sales [Dataset]. https://tradingeconomics.com/united-states/new-home-sales
    Explore at:
    csv, json, excel, xmlAvailable download formats
    Dataset updated
    May 23, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 31, 1963 - Jun 30, 2025
    Area covered
    United States
    Description

    New Home Sales in the United States increased to 627 Thousand units in June from 623 Thousand units in May of 2025. This dataset provides the latest reported value for - United States New Home Sales - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

  10. Dairy Supply Chain Sales Dataset

    • zenodo.org
    • data.niaid.nih.gov
    pdf, zip
    Updated Jul 12, 2024
    + more versions
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    Dimitris Iatropoulos; Konstantinos Georgakidis; Konstantinos Georgakidis; Ilias Siniosoglou; Ilias Siniosoglou; Christos Chaschatzis; Christos Chaschatzis; Anna Triantafyllou; Anna Triantafyllou; Athanasios Liatifis; Athanasios Liatifis; Dimitrios Pliatsios; Dimitrios Pliatsios; Thomas Lagkas; Thomas Lagkas; Vasileios Argyriou; Vasileios Argyriou; Panagiotis Sarigiannidis; Panagiotis Sarigiannidis; Dimitris Iatropoulos (2024). Dairy Supply Chain Sales Dataset [Dataset]. http://doi.org/10.21227/smv6-z405
    Explore at:
    zip, pdfAvailable download formats
    Dataset updated
    Jul 12, 2024
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Dimitris Iatropoulos; Konstantinos Georgakidis; Konstantinos Georgakidis; Ilias Siniosoglou; Ilias Siniosoglou; Christos Chaschatzis; Christos Chaschatzis; Anna Triantafyllou; Anna Triantafyllou; Athanasios Liatifis; Athanasios Liatifis; Dimitrios Pliatsios; Dimitrios Pliatsios; Thomas Lagkas; Thomas Lagkas; Vasileios Argyriou; Vasileios Argyriou; Panagiotis Sarigiannidis; Panagiotis Sarigiannidis; Dimitris Iatropoulos
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    1.Introduction

    Sales data collection is a crucial aspect of any manufacturing industry as it provides valuable insights about the performance of products, customer behaviour, and market trends. By gathering and analysing this data, manufacturers can make informed decisions about product development, pricing, and marketing strategies in Internet of Things (IoT) business environments like the dairy supply chain.

    One of the most important benefits of the sales data collection process is that it allows manufacturers to identify their most successful products and target their efforts towards those areas. For example, if a manufacturer could notice that a particular product is selling well in a certain region, this information could be utilised to develop new products, optimise the supply chain or improve existing ones to meet the changing needs of customers.

    This dataset includes information about 7 of MEVGAL’s products [1]. According to the above information the data published will help researchers to understand the dynamics of the dairy market and its consumption patterns, which is creating the fertile ground for synergies between academia and industry and eventually help the industry in making informed decisions regarding product development, pricing and market strategies in the IoT playground. The use of this dataset could also aim to understand the impact of various external factors on the dairy market such as the economic, environmental, and technological factors. It could help in understanding the current state of the dairy industry and identifying potential opportunities for growth and development.

    2. Citation

    Please cite the following papers when using this dataset:

    1. I. Siniosoglou, K. Xouveroudis, V. Argyriou, T. Lagkas, S. K. Goudos, K. E. Psannis and P. Sarigiannidis, "Evaluating the Effect of Volatile Federated Timeseries on Modern DNNs: Attention over Long/Short Memory," in the 12th International Conference on Circuits and Systems Technologies (MOCAST 2023), April 2023, Accepted

    3. Dataset Modalities

    The dataset includes data regarding the daily sales of a series of dairy product codes offered by MEVGAL. In particular, the dataset includes information gathered by the logistics division and agencies within the industrial infrastructures overseeing the production of each product code. The products included in this dataset represent the daily sales and logistics of a variety of yogurt-based stock. Each of the different files include the logistics for that product on a daily basis for three years, from 2020 to 2022.

    3.1 Data Collection

    The process of building this dataset involves several steps to ensure that the data is accurate, comprehensive and relevant.

    The first step is to determine the specific data that is needed to support the business objectives of the industry, i.e., in this publication’s case the daily sales data.

    Once the data requirements have been identified, the next step is to implement an effective sales data collection method. In MEVGAL’s case this is conducted through direct communication and reports generated each day by representatives & selling points.

    It is also important for MEVGAL to ensure that the data collection process conducted is in an ethical and compliant manner, adhering to data privacy laws and regulation. The industry also has a data management plan in place to ensure that the data is securely stored and protected from unauthorised access.

    The published dataset is consisted of 13 features providing information about the date and the number of products that have been sold. Finally, the dataset was anonymised in consideration to the privacy requirement of the data owner (MEVGAL).

    File

    Period

    Number of Samples (days)

    product 1 2020.xlsx

    01/01/2020–31/12/2020

    363

    product 1 2021.xlsx

    01/01/2021–31/12/2021

    364

    product 1 2022.xlsx

    01/01/2022–31/12/2022

    365

    product 2 2020.xlsx

    01/01/2020–31/12/2020

    363

    product 2 2021.xlsx

    01/01/2021–31/12/2021

    364

    product 2 2022.xlsx

    01/01/2022–31/12/2022

    365

    product 3 2020.xlsx

    01/01/2020–31/12/2020

    363

    product 3 2021.xlsx

    01/01/2021–31/12/2021

    364

    product 3 2022.xlsx

    01/01/2022–31/12/2022

    365

    product 4 2020.xlsx

    01/01/2020–31/12/2020

    363

    product 4 2021.xlsx

    01/01/2021–31/12/2021

    364

    product 4 2022.xlsx

    01/01/2022–31/12/2022

    364

    product 5 2020.xlsx

    01/01/2020–31/12/2020

    363

    product 5 2021.xlsx

    01/01/2021–31/12/2021

    364

    product 5 2022.xlsx

    01/01/2022–31/12/2022

    365

    product 6 2020.xlsx

    01/01/2020–31/12/2020

    362

    product 6 2021.xlsx

    01/01/2021–31/12/2021

    364

    product 6 2022.xlsx

    01/01/2022–31/12/2022

    365

    product 7 2020.xlsx

    01/01/2020–31/12/2020

    362

    product 7 2021.xlsx

    01/01/2021–31/12/2021

    364

    product 7 2022.xlsx

    01/01/2022–31/12/2022

    365

    3.2 Dataset Overview

    The following table enumerates and explains the features included across all of the included files.

    Feature

    Description

    Unit

    Day

    day of the month

    -

    Month

    Month

    -

    Year

    Year

    -

    daily_unit_sales

    Daily sales - the amount of products, measured in units, that during that specific day were sold

    units

    previous_year_daily_unit_sales

    Previous Year’s sales - the amount of products, measured in units, that during that specific day were sold the previous year

    units

    percentage_difference_daily_unit_sales

    The percentage difference between the two above values

    %

    daily_unit_sales_kg

    The amount of products, measured in kilograms, that during that specific day were sold

    kg

    previous_year_daily_unit_sales_kg

    Previous Year’s sales - the amount of products, measured in kilograms, that during that specific day were sold, the previous year

    kg

    percentage_difference_daily_unit_sales_kg

    The percentage difference between the two above values

    kg

    daily_unit_returns_kg

    The percentage of the products that were shipped to selling points and were returned

    %

    previous_year_daily_unit_returns_kg

    The percentage of the products that were shipped to

  11. Apple iPhone sales worldwide 2007-2023

    • statista.com
    Updated Jul 7, 2025
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    Statista (2025). Apple iPhone sales worldwide 2007-2023 [Dataset]. https://www.statista.com/statistics/276306/global-apple-iphone-sales-since-fiscal-year-2007/
    Explore at:
    Dataset updated
    Jul 7, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide
    Description

    The number of Apple iPhone unit sales dramatically increased between 2007 and 2023. Indeed, in 2007, when the iPhone was first introduced, Apple shipped around *** million smartphones. By 2023, this number reached over *** million units. The newest models and iPhone’s lasting popularity Apple has ventured into its 17th smartphone generation with its Phone ** lineup, which, released in September 2023, includes the **, ** Plus, ** Pro and Pro Max. Powered by the A16 bionic chip and running on iOS **, these models present improved displays, cameras, and functionalities. On the one hand, such features come, however, with hefty price tags, namely, an average of ***** U.S. dollars. On the other hand, they contribute to making Apple among the leading smartphone vendors worldwide, along with Samsung and Xiaomi. In the first quarter of 2024, Samsung shipped over ** million smartphones, while Apple recorded shipments of roughly ** million units. Success of Apple’s other products Apart from the iPhone, which is Apple’s most profitable product, Apple is also the inventor of other heavy-weight players in the consumer electronics market. The Mac computer and the iPad, like the iPhone, are both pioneers in their respective markets and have helped popularize the use of PCs and tablets. The iPad is especially successful, having remained as the largest vendor in the tablet market ever since its debut. The hottest new Apple gadget is undoubtedly the Apple Watch, which is a line of smartwatches that has fitness tracking capabilities and can be integrated via iOS with other Apple products and services. The Apple Watch has also been staying ahead of other smart watch vendors since its initial release and secures around ** percent of the market share as of the latest quarter.

  12. Online Sales Dataset - Popular Marketplace Data

    • kaggle.com
    Updated May 25, 2024
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    ShreyanshVerma27 (2024). Online Sales Dataset - Popular Marketplace Data [Dataset]. https://www.kaggle.com/datasets/shreyanshverma27/online-sales-dataset-popular-marketplace-data
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    May 25, 2024
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    ShreyanshVerma27
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Description

    This dataset provides a comprehensive overview of online sales transactions across different product categories. Each row represents a single transaction with detailed information such as the order ID, date, category, product name, quantity sold, unit price, total price, region, and payment method.

    Columns:

    • Order ID: Unique identifier for each sales order.
    • Date:Date of the sales transaction.
    • Category:Broad category of the product sold (e.g., Electronics, Home Appliances, Clothing, Books, Beauty Products, Sports).
    • Product Name:Specific name or model of the product sold.
    • Quantity:Number of units of the product sold in the transaction.
    • Unit Price:Price of one unit of the product.
    • Total Price: Total revenue generated from the sales transaction (Quantity * Unit Price).
    • Region:Geographic region where the transaction occurred (e.g., North America, Europe, Asia).
    • Payment Method: Method used for payment (e.g., Credit Card, PayPal, Debit Card).

    Insights:

    • 1. Analyze sales trends over time to identify seasonal patterns or growth opportunities.
    • 2. Explore the popularity of different product categories across regions.
    • 3. Investigate the impact of payment methods on sales volume or revenue.
    • 4. Identify top-selling products within each category to optimize inventory and marketing strategies.
    • 5. Evaluate the performance of specific products or categories in different regions to tailor marketing campaigns accordingly.
  13. Tesla's vehicle sales by quarter YTD Q2 2025

    • statista.com
    Updated Aug 14, 2025
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    Statista (2025). Tesla's vehicle sales by quarter YTD Q2 2025 [Dataset]. https://www.statista.com/statistics/502208/tesla-quarterly-vehicle-deliveries/
    Explore at:
    Dataset updated
    Aug 14, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide
    Description

    How many Tesla vehicles were delivered in 2025? Tesla's vehicle deliveries in the second quarter of 2025 amounted to around 384,120 units. Quarterly deliveries decreased by around 13 percent during the second quarter of 2025, compared with the second quarter of 2024. World's most valuable brand As of March 2025, Tesla was the most valuable brand within the global automotive sector. The brand was over double the brand value of Toyota, which was second in the ranking. April 2025 also recorded Tesla among the ten leading companies in the S&P 500 Index based on market capitalization, with a market cap around 798.1 billion U.S. dollars. Tesla enters the mainstream segment The initial rise in Tesla's market value was largely due to the release of its top-selling Model 3. The Model 3 was Tesla’s successful attempt to tap into the mainstream segment. By 2024, this Model consistently ranked among the world’s best-selling all-electric vehicle models, along with the bestseller Model Y. The Model 3 faces tough competition from other Tesla models, including the Model Y and the refreshed Model S Plaid.

  14. F

    E-Commerce Retail Sales as a Percent of Total Sales

    • fred.stlouisfed.org
    json
    Updated Aug 19, 2025
    + more versions
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    (2025). E-Commerce Retail Sales as a Percent of Total Sales [Dataset]. https://fred.stlouisfed.org/series/ECOMPCTSA
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Aug 19, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Description

    Graph and download economic data for E-Commerce Retail Sales as a Percent of Total Sales (ECOMPCTSA) from Q4 1999 to Q2 2025 about e-commerce, retail trade, percent, sales, retail, and USA.

  15. d

    Louisville Metro KY - Landbank Sales Historical Data

    • catalog.data.gov
    • louisville-metro-opendata-lojic.hub.arcgis.com
    • +1more
    Updated Jul 30, 2025
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    Louisville/Jefferson County Information Consortium (2025). Louisville Metro KY - Landbank Sales Historical Data [Dataset]. https://catalog.data.gov/dataset/louisville-metro-ky-landbank-sales-historical-data
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    Dataset updated
    Jul 30, 2025
    Dataset provided by
    Louisville/Jefferson County Information Consortium
    Area covered
    Kentucky, Louisville
    Description

    Develop Louisville Focuses on the full range of land development activities, including planning and design, vacant property initiatives, advanced planning, housing & community development programs, permits and licensing, land acquisition, public art and clean and green sustainable development partnerships.Data Dictionary:“LBA” is the abbreviation for the Louisville and Jefferson County LBA Authority, Inc."Parcel ID" is an identification code assigned to a piece of real estate by the Jefferson County Property Valuation Administration. The Parcel ID is used for record keeping and tax purposes.“IMPROV” stands for whether or not the real estate parcel had an “improvement” (i.e., a structure) situated on it at the time it was sold. “1” indicates that a structure existed when the parcel was sold and “0” indicates that the parcel was an empty, piece of land.“APPLICANT” is the individual(s) or active business entity that submitted an Application to Purchase the real estate parcel and whose application was presented to and approved by the LBA’s Board of Directors. The Board of Directors must approve each application before a transfer deed is officially recorded with the Office of the County Clerk of Jefferson County, Kentucky.“SALE DATE” is the date that the Applicant signed the transfer deed for the respective real estate parcel.“SALE AMOUNT” is the amount that the Applicant paid to purchase the respective real estate parcel.“SALE PROGRAM” is the LBA’s disposition program that the Applicant participated in to acquire the real estate parcel.The Office of Community Development defines each “Sale Program” as follows:Budget Rate (“Budget Rate Policy for New Construction Projects”) – Applicant submitted a proposed construction project for the empty, piece of land.Cut It Keep It - Applicant requested to maintain the empty piece of land situated on the same block as a real estate parcel owned by the Applicant. Applicant must retain ownership of the lot for three (3) years before the Applicant can sell it.Demo for Deed (“Last Look – Demo for Deed”) – Applicant requested to demolish the structure situated on the real estate parcel and retain the land for a future use.Flex Rate (“Flex Rate Policy for New Construction Projects”) – Applicant submitted a proposed construction project for the empty, piece of land but did not have proof of funding or a timeline as to when the project would be completed.Metro Redevelopment – The real estate parcel was part of a redevelopment project being considered by Metro Government.Minimum Pricing Policy – The pricing policy that was approved by the LBA’s Board of Directors and in effect as of the real estate parcel’s sale date.RFP (“Request for Proposals”) - Applicant requested to rehabilitate the structure in order to place it back into productive use within the neighborhood.Save the Structure (“Last Look – Save the Structure”) - Applicant requested to rehabilitate the structure in order to place it back into productive use within the neighborhood.Side Yard – The Applicant requested to acquire the LBA’s adjoining piece of land to make the Applicant’s occupied, real estate parcel larger and more valuable.SOI (“Solicitation of Interest”) – The LBA assembled two (2) or more real estate parcels and the Applicant submitted a redevelopment project for the subject parcels.For more information about each of the current disposition programs that the LBA offers, please refer to the following website pages:https://louisvilleky.gov/government/community-development/vacant-lot-sales-programshttps://louisvilleky.gov/government/community-development/vacant-structures-saleContact:Connie Suttonconnie.sutton@louisvilleky.gov

  16. F

    Data from: Existing Home Sales

    • fred.stlouisfed.org
    json
    Updated Aug 21, 2025
    + more versions
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    (2025). Existing Home Sales [Dataset]. https://fred.stlouisfed.org/series/EXHOSLUSM495S
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    jsonAvailable download formats
    Dataset updated
    Aug 21, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-citation-requiredhttps://fred.stlouisfed.org/legal/#copyright-citation-required

    Description

    Graph and download economic data for Existing Home Sales (EXHOSLUSM495S) from Jul 2024 to Jul 2025 about headline figure, sales, housing, and USA.

  17. Daily Store Sales and Revenue of 600 plus SKUs

    • kaggle.com
    Updated Nov 30, 2024
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    Dr. Pradeep K Mavuluri, Ph.D (2024). Daily Store Sales and Revenue of 600 plus SKUs [Dataset]. https://www.kaggle.com/datasets/pradeep13/daily-store-sales-and-revenue-of-600-plus-skus/suggestions?status=pending&yourSuggestions=true
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Nov 30, 2024
    Dataset provided by
    Kaggle
    Authors
    Dr. Pradeep K Mavuluri, Ph.D
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Description

    Daily Store Sales with Revenue and on Promotion across 600 plus SKUs and 35 stores that help in feature engineering and modelling aspects related to business questions of price elasticity, promotional effectiveness using either linear models or regression based boosting models and also for linear mixed models.

    Other Datasets by Author: 15 Min Freq Electricity Load Hz and Penalty Data - Link

  18. Annual car sales worldwide 2010-2024, with a forecast for 2025-2026

    • statista.com
    Updated Aug 18, 2025
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    Statista (2025). Annual car sales worldwide 2010-2024, with a forecast for 2025-2026 [Dataset]. https://www.statista.com/statistics/200002/international-car-sales-since-1990/
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    Dataset updated
    Aug 18, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide
    Description

    Worldwide car sales grew to around ** million automobiles in 2024, up from around **** million units in 2023. Throughout 2020 and 2021, the sector experienced a downward trend on the back of a slowing global economy, while COVID-19 and the Russian war on Ukraine contributed to shortages in the automotive semiconductor industry and further supply chain disruptions in 2022. Despite these challenges, 2023 and 2024 sales surpassed pre-pandemic levels and are forecast to keep rising through 2025 and 2026. Covid-19 hits car demand It had been estimated pre-pandemic that international car sales were on track to reach ** million. While 2023 sales are still far away from that goal, this was the first year were car sales exceeded pre-pandemic values. The automotive market faced various challenges in 2023, including supply shortages, automotive layoffs, and strikes in North America. However, despite these hurdles, the North American market was among the fastest-growing regions in 2024, along with Eastern Europe and Asia, as auto sales in these regions increased year-on-year. Chinese market recovers After years of double-digit growth, China's economy began to lose steam in 2022, and recovery has been slow through 2023. China was the largest automobile market based on sales with around **** million units in 2023. However, monthly car sales in China were in free-fall in April 2022 partly due to shortages, fears over a looming recession, and the country grappling with the COVID-19 pandemic. By June of that same year, monthly sales in China were closer to those recorded in 2021.

  19. Tesla revenue 2008-2024

    • statista.com
    Updated Aug 13, 2025
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    Statista (2025). Tesla revenue 2008-2024 [Dataset]. https://www.statista.com/statistics/272120/revenue-of-tesla/
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    Dataset updated
    Aug 13, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide, United States
    Description

    Tesla’s revenue grew to nearly **** billion U.S. dollars in the 2024 fiscal year, a *** percent increase from the previous year. The United States is Tesla's largest sales market. The fiscal year end of the company is December 31st. Revenue rises on model additions Nearly **** billion U.S. dollars of the company's revenue is generated from Tesla's automotive segment, which includes the design, manufacturing, and sales of vehicles. As of the first quarter of 2025, the electric vehicle (EV) maker has a model range that includes the Tesla Model S, Tesla Model X, Tesla Model 3, Tesla Model Y, and the tesla Cybertruck. Model 3 legacy The Model Y has emerged as Tesla's best-selling vehicle, leading the ranking in worldwide plug-in vehicle sales in 2024. In June 2021, the Model 3 became the first electric car to pass *********** global sales.Much of Tesla’s spending has specifically been on production of its Model 3 and Model Y, a strongly popular vehicles with high demand. One response to this surge in popularity for the Model 3 was Tesla’s 2018 purchase of land for the construction of a Gigafactory in Shanghai, China. A factory within China provides Tesla steady access to the Chinese electric vehicle market, a consistency welcomed in the midst of tensions between the U.S. and China over trade policies.

  20. Average sales price of new homes sold in the U.S. 1965-2024

    • statista.com
    Updated Jan 30, 2025
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    Statista (2025). Average sales price of new homes sold in the U.S. 1965-2024 [Dataset]. https://www.statista.com/statistics/240991/average-sales-prices-of-new-homes-sold-in-the-us/
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    Dataset updated
    Jan 30, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    The average sales price of new homes in the United States experienced a slight decrease in 2024, dropping to 512,2000 U.S. dollars from the peak of 521,500 U.S. dollars in 2022. This decline came after years of substantial price increases, with the average price surpassing 400,000 U.S. dollars for the first time in 2021. The recent cooling in the housing market reflects broader economic trends and changing consumer sentiment towards homeownership. Factors influencing home prices and affordability The rapid rise in home prices over the past few years has been driven by several factors, including historically low mortgage rates and increased demand during the COVID-19 pandemic. However, the market has since slowed down, with the number of home sales declining by over two million between 2021 and 2023. This decline can be attributed to rising mortgage rates and decreased affordability. The Housing Affordability Index hit a record low of 98.1 in 2023, indicating that the median-income family could no longer afford a median-priced home. Future outlook for the housing market Despite the recent cooling, experts forecast a potential recovery in the coming years. The Freddie Mac House Price Index showed a growth of 6.5 percent in 2023, which is still above the long-term average of 4.4 percent since 1990. However, homebuyer sentiment remains low across all age groups, with people aged 45 to 64 expressing the most pessimistic outlook. The median sales price of existing homes is expected to increase slightly until 2025, suggesting that affordability challenges may persist in the near future.

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TRADING ECONOMICS (2025). United States Existing Home Sales [Dataset]. https://tradingeconomics.com/united-states/existing-home-sales

United States Existing Home Sales

United States Existing Home Sales - Historical Dataset (1968-01-31/2025-07-31)

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9 scholarly articles cite this dataset (View in Google Scholar)
csv, json, xml, excelAvailable download formats
Dataset updated
Aug 21, 2025
Dataset authored and provided by
TRADING ECONOMICS
License

Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically

Time period covered
Jan 31, 1968 - Jul 31, 2025
Area covered
United States
Description

Existing Home Sales in the United States increased to 4010 Thousand in July from 3930 Thousand in June of 2025. This dataset provides the latest reported value for - United States Existing Home Sales - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

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