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Graph and download economic data for Governmental Taxes and License Fees for Real Estate, All Establishments, Employer Firms (DISCONTINUED) (EXPGTLEF531ALLEST) from 2010 to 2017 about licenses, fees, employer firms, accounting, establishments, real estate, tax, government, services, and USA.
Access verified Commercial Real Estate Data with Licensed Contact Data for real estate professionals worldwide. Includes work emails, direct phone numbers, and decision-maker profiles. Continuously updated and AI-validated. Best price guaranteed.
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United States - Governmental Taxes and License Fees for Real Estate, All Establishments, Employer Firms (DISCONTINUED) was 23122.00000 Mil. of $ in January of 2017, according to the United States Federal Reserve. Historically, United States - Governmental Taxes and License Fees for Real Estate, All Establishments, Employer Firms (DISCONTINUED) reached a record high of 23122.00000 in January of 2017 and a record low of 16893.00000 in January of 2010. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Governmental Taxes and License Fees for Real Estate, All Establishments, Employer Firms (DISCONTINUED) - last updated from the United States Federal Reserve on August of 2025.
BatchData's property listings data provides comprehensive insights with over 140 data points and nationwide listing data inclusive of For Sale By Owner (FSBO) listings across the United States. Updated daily in most markets, the data includes:
Common Use Cases: - Recruiting Teams: Enhance talent acquisition by analyzing agents' listing counts, close rates, property types, and client profiles. - Proptech Software & Marketplaces: Integrate current and historical listings to create detailed property profiles, advanced search features, and robust analytics. - Home Service Providers: Target marketing and outreach efforts to homeowners, whether they are preparing to move or have recently relocated. - Real Estate Agents & Investors: Identify undervalued properties, connect with buyers/sellers based on activity, analyze market trends, and develop effective marketing strategies.
Our property listings data can be delivered in a variety of formats to suit your needs. Choose from API integration for seamless, real-time data access, bulk data delivery for extensive datasets, S3 bucket storage for scalable cloud solutions, and more. This flexibility ensures that you can incorporate our comprehensive property information into your systems efficiently and effectively, whether you're building a new platform, enhancing existing tools, or conducting in-depth analyses.
Unlock the Potential of U.S. National MLS Real Estate Data
Discover the wealth of information encapsulated in licensing bulk MLS (Multiple Listing Service) data, a cornerstone of the real estate realm. From property particulars to market trends, delve into the significance and multifaceted utility of MLS data across diverse industries.
MLS Real Estate Data includes:
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The North American real estate brokerage market, valued at $227.08 million in 2025, is projected to experience steady growth, driven by factors such as increasing urbanization, a rising population, and a growing preference for professionally managed real estate transactions. The market's Compound Annual Growth Rate (CAGR) of 2.30% from 2025 to 2033 indicates a consistent, albeit moderate, expansion. This growth is fueled by robust activity in the residential sector, which typically constitutes a larger portion of the market compared to non-residential. Within the services segment, sales transactions dominate, though rental brokerage is also a significant contributor, particularly in urban centers experiencing high rental demand. Market segmentation geographically reveals the United States as the leading market, followed by Canada and Mexico, with each country exhibiting distinct market characteristics and regulatory landscapes influencing brokerage practices. Competition among established players like Keller Williams Realty, RE/MAX, and Coldwell Banker is fierce, with these firms continuously innovating through technological advancements, enhanced client services, and strategic acquisitions to maintain market share. The continued influx of smaller, independent brokerage firms adds another layer of complexity to this competitive landscape. The forecast period (2025-2033) will likely witness increased adoption of proptech solutions, streamlining processes such as property listings, virtual tours, and online contract management. This will lead to higher efficiency and potentially lower transaction costs. However, regulatory changes concerning licensing, disclosure requirements, and data privacy could act as potential restraints. Maintaining consumer trust and navigating ethical considerations surrounding data usage and algorithmic bias will be crucial for brokerage firms to successfully navigate the evolving technological landscape. The market’s growth trajectory will largely depend on macroeconomic factors including interest rates, inflation, and overall economic stability, which can significantly impact buyer and seller confidence and, consequently, transaction volumes. Recent developments include: June 2024: Real Brokerage Inc., North America's fastest-growing publicly traded real estate brokerage, reported a significant expansion, surpassing 19,000 agents after a robust month of recruitment., April 2024: Compass finalized its acquisition of Latter & Blum, a prominent brokerage firm based in New Orleans. Latter & Blum, known for its strong foothold in Louisiana and other Gulf Coast metros, has now become a part of Compass. This strategic move not only solidifies Compass' presence in the region but also propels it to a significant market share, estimated at around 15% in New Orleans.. Key drivers for this market are: 4., Increasing Urbanization Driving the Market4.; Regulatory Environment Driving the Market. Potential restraints include: 4., Increasing Urbanization Driving the Market4.; Regulatory Environment Driving the Market. Notable trends are: Industrial Rental Growth Faces Challenges Amidst Changing Dynamics.
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The real estate license school software market is experiencing robust growth, driven by increasing demand for online real estate education and the need for efficient, scalable training solutions. The market's size in 2025 is estimated at $250 million, reflecting a consistent Compound Annual Growth Rate (CAGR) of 15% between 2019 and 2024. This growth is fueled by several key factors. Firstly, the increasing popularity of online learning platforms offers flexibility and convenience to aspiring real estate agents, attracting a broader demographic. Secondly, software solutions provide real estate schools with advanced features like automated scheduling, performance tracking, and customized learning pathways, leading to improved student outcomes and operational efficiency. Thirdly, the rising adoption of mobile learning enhances accessibility and engagement. Finally, the competitive landscape with established players like Real Estate Express, VanEd, Dream Town Realty, and Aceable is further driving innovation and market expansion. However, the market also faces some challenges. One key restraint is the initial investment cost associated with adopting and implementing new software solutions. Some smaller schools may find it difficult to justify the expense. Furthermore, the need for ongoing software maintenance and updates, along with the requirement for robust technical support, adds to the overall cost. Despite these challenges, the long-term growth prospects remain positive. The market is expected to continue its upward trajectory, propelled by technological advancements, evolving learning preferences, and the consistent demand for qualified real estate professionals. Segmentation within the market is largely driven by software features (e.g., CRM integration, virtual classroom capabilities), pricing models (subscription vs. one-time purchase), and target customer size (individual schools vs. large franchises).
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According to Cognitive Market Research, the Global Real Estate Portfolio Management Software Solution market size will be USD 1684.2 million in 2024. It will expand at a compound annual growth rate (CAGR) of 5.50% from 2024 to 2031.
North America held the major market share for more than 40% of the global revenue with a market size of USD 673.68 million in 2024 and will grow at a compound annual growth rate (CAGR) of 3.7% from 2024 to 2031.
Europe accounted for a market share of over 30% of the global revenue with a market size of USD 505.26 million.
Asia Pacific held a market share of around 23% of the global revenue with a market size of USD 387.37 million in 2024 and will grow at a compound annual growth rate (CAGR) of 7.5% from 2024 to 2031.
Latin America had a market share of more than 5% of the global revenue with a market size of USD 84.21 million in 2024 and will grow at a compound annual growth rate (CAGR) of 4.9% from 2024 to 2031.
Middle East and Africa had a market share of around 2% of the global revenue and was estimated at a market size of USD 33.68 million in 2024 and will grow at a compound annual growth rate (CAGR) of 5.2% from 2024 to 2031.
The ERP is the fastest growing segment of the Real Estate Portfolio Management Software Solution industry
Market Dynamics of Real Estate Portfolio Management Software Solution Market
Key Drivers for Real Estate Portfolio Management Software Solution Market
Growing Need for Data-Driven Decision making to Boost Market Growth
The growing need for data-driven decision-making is significantly boosting the Real Estate Portfolio Management Software (REMS) market. With the increasing complexity of the real estate industry, stakeholders are adopting advanced software solutions that utilize artificial intelligence (AI), machine learning (ML), and data analytics to optimize investment strategies, enhance asset performance, and maintain regulatory compliance. These technologies facilitate real-time data analysis, predictive insights, and streamlined portfolio management, which lead to better operational efficiency and more informed decision-making. The integration of such tools ensures that real estate professionals can respond to market trends swiftly and make more accurate, strategic decisions. For instance, in August 2024, Home365 launched the ‘Profit Protect Plan,’ a service designed to enhance predictability in real estate investments by covering costs related to vacancy, delinquency, and property operations. (Source:https://markets.businessinsider.com/news/stocks/home365-launches-profit-protect-plan-to-enhance-real-estate-investment-predictability-1033710505)
Technological Advancements to Drive Market Growth
The integration of artificial intelligence (AI), machine learning (ML), and cloud-based solutions has transformed how real estate professionals manage portfolios. AI and ML enable predictive analytics, enhancing decision-making by forecasting market trends and property performance. Cloud platforms offer scalability and remote access, facilitating real-time collaboration and data sharing. These innovations streamline operations, improve efficiency, and provide deeper insights, making REMS an indispensable tool for modern real estate management. For instance, in November 2024, JLL and Slate Asset Management announced a joint venture to commercialize Slate's technology platform, resulting in JLL Asset Beacon—a SaaS platform that integrates data across asset management functions to provide real-time, end-to-end performance insights for real estate professionals. (Source:https://www.jll.com/en-us/newsroom/jll-and-slate-asset-management-announce-technology-joint-venture-to-tackle-data-challenges-for-real-estate-investors?)
Key Restraint for the Real Estate Portfolio Management Software Solution Market
High Initial Cost to Hamper Market Growth
The substantial initial investment required for implementing Real Estate Portfolio Management Software (REMS) poses a significant barrier to market growth. Expenses encompass software licensing, hardware infrastructure, data migration, integration with existing systems, and training, which can be prohibitive for small to medium-sized enterprises with limited budgets. This financial burden may deter potential adopters, hindering the widespread implementation of REMS solutions. Additionally, the co...
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According to Cognitive Market Research, the Global Real Estate Property Software market size will be USD 10654.2 million in 2024. It will expand at a compound annual growth rate (CAGR) of 13.30% from 2024 to 2031.
North America held the major market share for more than 40% of the global revenue with a market size of USD 4261.68 million in 2024 and will grow at a compound annual growth rate (CAGR) of 11.5% from 2024 to 2031.
Europe accounted for a market share of over 30% of the global revenue with a market size of USD 3196.26 million in 2024 and will grow at a compound annual growth rate (CAGR) of 11.8% from 2024 to 2031.
Asia Pacific held a market share of around 23% of the global revenue with a market size of USD 2450.47 million in 2024 and will grow at a compound annual growth rate (CAGR) of 15.3% from 2024 to 2031.
Latin America had a market share of more than 5% of the global revenue with a market size of USD 532.71 million in 2024 and will grow at a compound annual growth rate (CAGR) of 12.7% from 2024 to 2031.
Middle East and Africa had a market share of around 2% of the global revenue and was estimated at a market size of USD 213.08 million in 2024 and will grow at a compound annual growth rate (CAGR) of 13.0% from 2024 to 2031.
Customer Relationship Management Software held the highest Real Estate Property Software market revenue share in 2024.
Market Dynamics of Real Estate Property Software Market
Key Drivers for Real Estate Property Software Market
Increasing Demand for Cloud-based Solutions to Boost Market Growth
The increasing demand for cloud-based solutions is a key driver in the growth of real estate property management software. Cloud technology offers scalability, flexibility, and cost-efficiency, enabling property managers to streamline operations, automate tasks, and improve overall service delivery. With the shift towards digital transformation in the real estate sector, cloud-based platforms help enhance collaboration, allow remote access, and centralize data management. This drives increased adoption of Software-as-a-Service (SaaS) models, which improve efficiency, reduce operational costs, and provide better customer experiences, making cloud solutions a crucial element for market growth in property management software.
Growing Demand for SaaS-based Property Management Software to Propel Market Growth
The increasing adoption of Software-as-a-Service (SaaS) platforms is a significant driver in the growth of property management software. SaaS solutions offer scalability, flexibility, and cost-efficiency, enabling property managers to streamline operations, automate tasks, and enhance tenant experiences. These cloud-based platforms provide centralized access to various functionalities, including accounting, maintenance tracking, and tenant communication, facilitating real-time data access and improved decision-making. As the real estate industry embraces digital transformation, the demand for SaaS-based property management software continues to rise, contributing to the market's expansion. For instance, in February 2025, Summer pivoted to a Software-as-a-Service (SaaS) model by launching SummerOS, an asset management platform designed specifically for short-term rental operators, enabling data-driven decisions and improved property performance. (Source:https://shorttermrentalz.com/news/summer-saas-pivot-summeros-launch/)
Key Restraint for the Real Estate Property Software Market
Budget Constraints to Hamper Market Growth
Budget constraints pose a significant challenge to the growth of the property management software market. High implementation costs, including software licensing, hardware infrastructure, data migration, and employee training, can deter small and medium-sized enterprises from adopting these solutions. Additionally, the complexity of integrating new software with existing systems and the need for customized configurations can add to the establishment costs, further discouraging potential buyers. These financial barriers hinder the widespread adoption of property management software, limiting its market expansion. For instance, in April 2025, San Diego proposed a ban on rent-pricing algorithms used by landlords, claiming that these systems inflate rents through collusion, which may hamper the use of property management software in the city. (Source:https://w...
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
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Charges for the use of intellectual property, payments (BoP, current US$) in United States was reported at 58013000000 USD in 2024, according to the World Bank collection of development indicators, compiled from officially recognized sources. United States - Royalty and license fees, payments (BoP, current US$) - actual values, historical data, forecasts and projections were sourced from the World Bank on September of 2025.
Our Price Paid Data includes information on all property sales in England and Wales that are sold for value and are lodged with us for registration.
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Contains HM Land Registry data © Crown copyright and database right 2021. This data is licensed under the Open Government Licence v3.0.
Price Paid Data is released under the http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/">Open Government Licence (OGL). You need to make sure you understand the terms of the OGL before using the data.
Under the OGL, HM Land Registry permits you to use the Price Paid Data for commercial or non-commercial purposes. However, OGL does not cover the use of third party rights, which we are not authorised to license.
Price Paid Data contains address data processed against Ordnance Survey’s AddressBase Premium product, which incorporates Royal Mail’s PAF® database (Address Data). Royal Mail and Ordnance Survey permit your use of Address Data in the Price Paid Data:
If you want to use the Address Data in any other way, you must contact Royal Mail. Email address.management@royalmail.com.
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The July 2025 release includes:
As we will be adding to the July data in future releases, we would not recommend using it in isolation as an indication of market or HM Land Registry activity. When the full dataset is viewed alongside the data we’ve previously published, it adds to the overall picture of market activity.
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These include standard and additional price paid data transactions received at HM Land Registry from 1 January 1995 to the most current monthly data.
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The data is updated monthly and the average size of this file is 3.7 GB, you can download:
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Charges for the use of intellectual property, payments (BoP, current US$) in Brazil was reported at 9775503723 USD in 2024, according to the World Bank collection of development indicators, compiled from officially recognized sources. Brazil - Royalty and license fees, payments (BoP, current US$) - actual values, historical data, forecasts and projections were sourced from the World Bank on July of 2025.
Product Overview
You’re a few short steps away from accessing the largest and most comprehensive Pre-Foreclosure and Foreclosure database in the country. Whether you want to conduct property research, data analysis, purchase distressed properties, or market your services, licensing Pre-Foreclosure and Foreclosure Data provides in-depth intelligence on distressed properties across the country that will inform your next move.
What is Foreclosure?
Foreclosure is the legal process of taking possession of a mortgaged property when the borrower fails to keep up with mortgage payments. The foreclosure process varies from state to state, depending on whether the state has a judicial or nonjudicial process. Judicial process requires court action on a foreclosed property, where a nonjudicial process does not.
Foreclosure and Pre-Foreclosure Data Includes:
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Charges for the use of intellectual property, receipts (BoP, current US$) in United States was reported at 144449000000 USD in 2024, according to the World Bank collection of development indicators, compiled from officially recognized sources. United States - Royalty and license fees, receipts (BoP, current US$) - actual values, historical data, forecasts and projections were sourced from the World Bank on September of 2025.
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Charges for the use of intellectual property, receipts (BoP, current US$) in Peru was reported at 43392923 USD in 2024, according to the World Bank collection of development indicators, compiled from officially recognized sources. Peru - Royalty and license fees, receipts (BoP, current US$) - actual values, historical data, forecasts and projections were sourced from the World Bank on August of 2025.
Auditor ResponsibilitiesReal Estate Appraisal and AssessmentThe Lucas County Auditor sets fair and equitable values for each parcel in Lucas County. By Ohio law, the County Auditor must complete a reappraisal every 6 years and an update based on market trends 3 years after a reappraisal. An update was conducted in 2021 and a reappraisal will occur in 2024.Lucas County Real Estate Appraisal and AssessmentWeights and MeasuresThe Lucas County Auditor protects County residents and businesses by ensuring all commercial weighing and measuring devices are accurate. Weights & Measures checks gas pumps, price scanners, meat and produce scales.Lucas County Weights & Measures DepartmentLicensingLicensing for dogs, kennels, vendors, and cigarettes are issued by the Lucas County Auditor.Lucas County Vendor and Cigarette Licensing InformationLucas County Dog Licensing InformationSteward of Public FundsThe Lucas County Auditor is the watchdog of County funds. As Lucas County’s Chief Financial Officer, the Auditor:• Accounts for hundreds of millions of dollars received by Lucas County each year.• Issue payments for all County obligations, including the distribution of taxes to townships, villages, cities, school districts, libraries, and County agencies.• Administer and distribute tax and license revenues including real estate taxes, personal property taxes, motor vehicle license fees, gasoline taxes, estate taxes, manufactured home taxes, local government funds, and other state subsidies.• Administer the Lucas County payroll.• Produce the County’s annual financial report.
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The Review Committee on Land Values in the City of Wuppertal publishes an annual land market report based on statistical evaluations of all previous year’s purchase contracts for buildings and undeveloped land in the city area of Wuppertal. Since 2004, the land market report has been titled with the year of its publication. The “Property Market Report 2019” refers to the purchase case data of the year 2018 and thus reflects the average conditions of the real estate market in 2018. The land market report makes the Wuppertal real estate market transparent and comprehensible, including for valuation experts and private individuals who want to buy or sell real estate. It informs about sales, price developments and price levels in the individual sub-markets. In addition, it contains the so-called “other data required for valuation” according to §193 Building Code (e.g. index series, real estate interest rates and market adjustment factors) as well as information on commercial rents. Since 01.01.2016 the digital issues of the real estate market reports have been under an open data license, as of 01.03.2020 the license was changed to the data license Deutschland — Zero — Version 2.0 (dl-zero-de/2.0). The Wuppertal Review Committee therefore makes all land market reports available for download under dl-zero-de/2.0 since reference year 2000, even if different conditions of use are listed in the imprint of the respective documents, valid at the time of publication.
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The valuation committee for land values in the city of Wuppertal publishes an annual land market report, which is based on statistical evaluations of all purchase contracts of the previous year for built-up and undeveloped land in the urban area of Wuppertal. Since 2004, the land market report has been titled with the year of its publication. The "Land Market Report 2023" therefore refers to the purchase case data for 2022 and thus reflects the average conditions of the real estate market in 2022. The real estate market report makes the Wuppertal real estate market transparent and understandable, among other things for valuation experts and private individuals who want to buy or sell real estate. It provides information on sales, price developments and price levels in the individual submarkets. In addition, it contains the so-called "other data required for valuation" in accordance with Section 193 of the Building Code (e.g. index series, real estate interest rates and market adjustment factors) as well as information on commercial rents. Since 01.01.2016, the digital editions of the land market reports have been under an open data license, and on 01.03.2020, the license was switched to the data license Germany – Zero – Version 2.0 (dl-zero-en/2.0). The Wuppertal Expert Committee therefore provides all real estate market reports since the reference year 2000 under the dl-zero-en/2.0 for download, even if in the imprint of the respective documents still deviating, at the time of publication valid terms of use are listed.
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The Review Committee on Land Values in the City of Wuppertal publishes an annual land market report based on statistical evaluations of all previous year’s purchase contracts for buildings and undeveloped land in the city area of Wuppertal. Since 2004, the land market report has been titled with the year of its publication. The “Property Market Report 2000” therefore refers to the purchase case data of the year 2000, thus reflecting the average conditions of the real estate market in 2000. The land market report makes the Wuppertal real estate market transparent and comprehensible, including for valuation experts and private individuals who want to buy or sell real estate. It informs about sales, price developments and price levels in the individual sub-markets. In addition, it contains the so-called “other data required for valuation” according to §193 Building Code (e.g. index series, real estate interest rates and market adjustment factors) as well as information on commercial rents. Since 01.01.2016 the digital issues of the real estate market reports have been under an open data license, as of 01.03.2020 the license was changed to the data license Deutschland — Zero — Version 2.0 (dl-zero-de/2.0). The Wuppertal Review Committee therefore makes all land market reports available for download under dl-zero-de/2.0 since reference year 2000, even if different conditions of use are listed in the imprint of the respective documents, valid at the time of publication.
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Graph and download economic data for Governmental Taxes and License Fees for Real Estate, All Establishments, Employer Firms (DISCONTINUED) (EXPGTLEF531ALLEST) from 2010 to 2017 about licenses, fees, employer firms, accounting, establishments, real estate, tax, government, services, and USA.