This is a comprehensive collection of tax and assessment data extracted at a specific time. The data is in CSV format. A data dictionary (pdf) and the current tax rate book (pdf) are also included.

This is a comprehensive collection of tax and assessment data extracted at a specific time. The data is in CSV format. A data dictionary (pdf) and the current tax rate book (pdf) are also included.

This is a collection of CSV files that contain assessment data. The files in this extract are:Primary Parcel file containing primary owner and land information;Addn file containing drawing vectors for dwelling records;Additional Address file containing any additional addresses that exist for a parcel;Assessment file containing assessed value-related data;Appraisal file containing appraised value-related data;Commercial file containing primary commercial data;Commercial Apt containing commercial apartment data;Commercial Interior Exterior dataDwelling fileEntrance data containing data from appraisers' visits;Other Buildings and Yard ImprovementsSales FileTax Rate File for the current billing cycle by taxing district authority and property class; and,Tax Payments File containing tax charges and payments for current billing cycle.In addition to the CSV files, the following are included:Data Dictionary PDF; and,St Louis County Rate Book for the current tax billing cycle.

The real estate market reports of the regional expert committees provide insights into the events on the real estate markets of the past year in the respective district or in the district-free city and in the state of Brandenburg as a whole. They contain sales figures and developments, detailed analyses of the individual submarkets and statements on the price level of residential building land, commercial building land, agricultural and forestry land, single-family houses and condominiums. The publication of "other data necessary for valuation", such as market adjustment factors, conversion coefficients, index series, provides information on value relationships and increases the transparency of the land market in the respective local authorities. These annual reports are based on the evaluations of the real estate purchase contracts registered with the appraisal committees. They are delivered free of charge as a pdf file. The land market reports of the regional expert committees in analogue form or for previous years can be obtained from the respective district or in the district-free city.

Silencio’s Street Noise-Level Dataset provides unmatched value for the real estate industry, delivering highly granular noise data to property professionals, developers, and investors. Built from over 35 billion datapoints collected globally via our mobile app and refined through AI-driven interpolation, this dataset offers hyper-local average noise levels (dBA) covering streets, neighborhoods, and venues across more than 180 countries.

Our data helps assess the environmental quality of any location, supporting residential and commercial property valuations, site selection, and urban development. By integrating real-world noise measurements with AI-powered models, we enable real estate professionals to evaluate how noise exposure impacts property value, livability, and buyer perception — factors often overlooked by traditional market analyses.

Silencio also operates the largest global database of noise complaints, providing additional context for understanding neighborhood soundscapes from both objective measurements and subjective community feedback.

We offer on-demand visual delivery for mapped cities, regions, or even specific streets and districts, allowing clients to access exactly the data they need. Data is available both as historical and up-to-date records, ready to be integrated into valuation models, investment reports, and location intelligence platforms. Delivery options include CSV exports, S3 buckets, PDF, PNG, JPEG, and we are currently developing a full-featured API, with flexibility to adapt to client needs. We are open to discussion for API early access, custom projects, or unique delivery formats.

Fully anonymized and fully GDPR-compliant, Silencio’s data ensures ethical sourcing while providing real estate professionals with actionable insights for smarter, more transparent valuations.

This is a comprehensive collection of tax and assessment data extracted at a specific time. The data is in CSV format. A data dictionary (pdf) and the current tax rate book (pdf) are also included.

This is a comprehensive collection of tax and assessment data extracted at a specific time. The data is in CSV format. A data dictionary (pdf) and the current tax rate book (pdf) are also included.

What you get:

Upvote! The database contains +40,000 records on US Gross Rent & Geo Locations. The field description of the database is documented in the attached pdf file. To access, all 325,272 records on a scale roughly equivalent to a neighborhood (census tract) see link below and make sure to upvote. Upvote right now, please. Enjoy!

Get the full free database with coupon code: FreeDatabase, See directions at the bottom of the description... And make sure to upvote :) coupon ends at 2:00 pm 8-23-2017

Gross Rent & Geographic Statistics:

• Mean Gross Rent (double)
• Median Gross Rent (double)
• Standard Deviation of Gross Rent (double)
• Number of Samples (double)
• Square area of land at location (double)
• Square area of water at location (double)

Geographic Location:

• Longitude (double)
• Latitude (double)
• State Name (character)
• State abbreviated (character)
• State_Code (character)
• County Name (character)
• City Name (character)
• Name of city, town, village or CPD (character)
• Primary, Defines if the location is a track and block group.
• Zip Code (character)
• Area Code (character)

Abstract

The data set originally developed for real estate and business investment research. Income is a vital element when determining both quality and socioeconomic features of a given geographic location. The following data was derived from over +36,000 files and covers 348,893 location records.

License

Only proper citing is required please see the documentation for details. Have Fun!!!

Golden Oak Research Group, LLC. “U.S. Income Database Kaggle”. Publication: 5, August 2017. Accessed, day, month year.

For any questions, you may reach us at research_development@goldenoakresearch.com. For immediate assistance, you may reach me on at 585-626-2965

please note: it is my personal number and email is preferred

Check our data's accuracy: Census Fact Checker

Access all 325,272 location for Free Database Coupon Code:

Don't settle. Go big and win big. Optimize your potential**. Access all gross rent records and more on a scale roughly equivalent to a neighborhood, see link below:

• Website: Golden Oak Research make sure to upvote

A small startup with big dreams, giving the every day, up and coming data scientist professional grade data at affordable prices It's what we do.

Downloadable PDF reports containing market value forecasts and data trends by region.

Snapshot img

Metaverse Real Estate Market Size 2024-2028

The metaverse real estate market size is forecast to increase by USD 11.58 billion, at a CAGR of 73.6% between 2023 and 2028.

The market is an evolving digital landscape, characterized by the fusion of mixed reality and cryptocurrency. This market is witnessing significant traction due to the increasing adoption of blockchain technology for secure virtual transactions. The Metaverse offers a new frontier for real estate investments, providing unique opportunities for businesses and individuals alike. The market's dynamics are shaped by several factors. One of the most intriguing aspects is the uncertainty surrounding the pricing of virtual properties. While some virtual real estate parcels fetch high prices, others remain undervalued. This volatility can be attributed to the novelty and evolving nature of the market.
Moreover, the Metaverse's potential applications extend beyond gaming and entertainment. Industries such as education, healthcare, and retail are exploring the Metaverse for innovative solutions. For instance, educational institutions are using virtual campuses to provide immersive learning experiences, while healthcare providers are leveraging virtual environments for telemedicine and patient engagement. Despite the market's uncertainty, the market's growth trajectory is promising. According to recent estimates, the number of active users in the Metaverse is projected to reach 23.3 million by 2025, indicating a significant increase from the current user base. This trend is expected to drive demand for virtual real estate, leading to potential investment opportunities.
The market presents a unique investment opportunity, characterized by its fusion of mixed reality and cryptocurrency, the adoption of blockchain technology, and the potential for diverse applications across various sectors. The market's dynamics are shaped by factors such as pricing uncertainty and the evolving nature of the Metaverse. Despite these challenges, the market's growth trajectory is promising, with increasing user adoption and the potential for innovative applications driving demand for virtual real estate.

Major Market Trends & Insights

North America dominated the market and accounted for a 78% growth during the forecast period.
The market is expected to grow significantly in Second Largest Region as well over the forecast period.
By the End-user, the Enterprises sub-segment was valued at USD 225.80 billion in 2022
By the Type, the Virtual Land sub-segment accounted for the largest market revenue share in 2022

Market Size & Forecast

Market Opportunities: USD 1.25 billion
Future Opportunities: USD USD 11.58 billion 
CAGR : 73.6%
North America: Largest market in 2022

What will be the Size of the Metaverse Real Estate Market during the forecast period?

Get Key Insights on Market Forecast (PDF) Request Free Sample

Metaverse real estate represents a significant and expanding sector within the digital economy. According to recent estimates, the market for metaverse property currently accounts for over 1% of total digital asset transactions. Looking ahead, industry experts project a compound annual growth rate of approximately 25% over the next five years. Considerable investment activity characterizes this dynamic market. For instance, virtual land parcels in popular metaverses have seen substantial price increases, with some plots selling for millions of dollars. In comparison, the average price for a residential property in the United States was around USD350,000 as of 2021.
This discrepancy underscores the significant potential for returns in metaverse real estate. Moreover, the market encompasses a diverse range of offerings. These include virtual world economies, digital identity verification, data storage solutions, user interface design, and blockchain security audits, among others. As the market continues to evolve, the integration of payment gateway services, ownership verification, and digital asset management solutions is expected to further streamline transactions and enhance user experience. Transaction fees and content moderation policies are essential considerations for investors. While fees vary between platforms, they can impact potential returns. Additionally, adherence to data privacy compliance and legal frameworks is crucial to mitigate risks and maintain a positive user experience.
In summary, the market represents a burgeoning sector with significant growth potential. Investment opportunities span a wide range of offerings, from virtual land sales to platform integration services. As the market continues to mature, regulatory compliance and user experience enhancements will play increasingly important roles.

How is this Metaverse Real Estate Industry segmented?

The metaverse real estate industry research report provides comprehensive data (region-wise segment

August 2025

To access parcel information:Enter an address or zoom in by using the +/- tools or your mouse scroll wheel. Parcels will draw when zoomed in.Click on a parcel to display a popup with information about that parcel.Click the "Basemap" button to display background aerial imagery.From the "Layers" button you can turn map features on and off.Complete Help (PDF)Parcel Legend:Full Map LegendAbout this ViewerThis viewer displays land property boundaries from assessor parcel maps across Massachusetts. Each parcel is linked to selected descriptive information from assessor databases. Data for all 351 cities and towns are the standardized "Level 3" tax parcels served by MassGIS. More details ...Read about and download parcel dataUpdatesV 1.1: Added 'Layers' tab. (2018)V 1.2: Reformatted popup to use HTML table for columns and made address larger. (Jan 2019)V 1.3: Added 'Download Parcel Data by City/Town' option to list of layers. This box is checked off by default but when activated a user can identify anywhere and download data for that entire city/town, except Boston. (March 14, 2019)V 1.4: Data for Boston is included in the "Level 3" standardized parcels layer. (August 10, 2020)V 1.4 MassGIS, EOTSS 2021

The land market reports of the regional appraiser committees provide insights into the events on the property markets of the previous year in the respective district or in the district-free city and in the state of Brandenburg as a whole. They include sales figures and developments, detailed analyses of the individual sub-markets and statements on the price level of residential land, commercial land, agricultural and forestry land, single-family houses and condominiums. The publication of “other data necessary for the determination of value”, such as market adjustment factors, conversion coefficients, index series, provide information on value relationships and increase the transparency of the land market in the respective local authorities. The basis for these annual new reports are the evaluations of the real estate purchase agreements registered with the expert committees. They are delivered free of charge as a pdf file. The land market reports of the regional appraiser committees in analogue form or for previous years can be obtained from the respective district or in the district-free city.

The Land Market Reports of the Regional Expert Committees provide insights into the events on the land markets of the previous year in the respective district or in the district-free city and in the state of Brandenburg as a whole. They include sales figures and developments, detailed analyses of individual sub-markets and statements on the price level of residential, commercial, agricultural and forestry land, single-family houses and condominiums. The publication of “other data necessary for valuation”, such as market adjustment factors, conversion coefficients, index series, provides information on the correlation of values and increases the transparency of the land market in the respective local authorities. These annual reports are based on the evaluations of real estate purchase contracts registered with the expert committees. They will be submitted free of charge as pdf-file. The land market reports of the regional expert committees in analogue form or for previous vintages can be obtained from the respective district or in the district-free city.

This is a comprehensive collection of tax and assessment data extracted at a specific time. The data is in CSV format. A data dictionary (pdf) and the current tax rate book (pdf) are also included.

Vector polygon map data of property parcels from Harris County, Texas containing 1,410,276 features.

Property parcel GIS map data consists of detailed information about individual land parcels, including their boundaries, ownership details, and geographic coordinates.

Property parcel data can be used to analyze and visualize land-related information for purposes such as real estate assessment, urban planning, or environmental management.

Available for viewing and sharing in a Koordinates map viewer. This data is also available for export to DWG for CAD, PDF, KML, CSV, and GIS data formats, including Shapefile, MapInfo, and Geodatabase.

Abstract

The documentation covers Enterprise Survey panel datasets that were collected in Chad in 2009 and 2018. The Enterprise Survey is a firm-level survey of a representative sample of an economy's private sector. The surveys cover a broad range of business environment topics including access to finance, corruption, infrastructure, crime, competition, and performance measures. The objective of the Enterprise Survey is to gain an understanding of what firms experience in the private sector.

As part of its strategic goal of building a climate for investment, job creation, and sustainable growth, the World Bank has promoted improving the business environment as a key strategy for development, which has led to a systematic effort in collecting enterprise data across countries. The Enterprise Surveys (ES) are an ongoing World Bank project in collecting both objective data based on firms' experiences and enterprises' perception of the environment in which they operate.

Geographic coverage

National coverage

Analysis unit

The primary sampling unit of the study is the establishment. An establishment is a physical location where business is carried out and where industrial operations take place or services are provided. A firm may be composed of one or more establishments. For example, a brewery may have several bottling plants and several establishments for distribution. For the purposes of this survey an establishment must make its own financial decisions and have its own financial statements separate from those of the firm. An establishment must also have its own management and control over its payroll.

Universe

The whole population, or universe of the study, is the non-agricultural economy. It comprises: all manufacturing sectors according to the group classification of ISIC Revision 3.1: (group D), construction sector (group F), services sector (groups G and H), and transport, storage, and communications sector (group I). Note that this definition excludes the following sectors: financial intermediation (group J), real estate and renting activities (group K, except sub-sector 72, IT, which was added to the population under study), and all public or utilities-sectors.

Kind of data

Sample survey data [ssd]

Sampling procedure

The samples for 2009 and 2018 Chad Enterprise Surveys were selected using stratified random sampling, following the methodology explained in the Sampling Note.

Two levels of stratification were used in the Chad 2009 ES sample: firm sector and firm size. The Industry stratification was designed as follows: the universe was stratified into manufacturing and services industries. The initial sample design had a target of 75 interviews in manufacturing and 75 interviews in services.

In 2018 Chad ES, three levels of stratification were used: industry, establishment size, and region. The industry stratification was designed in the way that follows: the universe was stratified as into manufacturing and services industries- Manufacturing (ISIC Rev. 3.1 codes 15 - 37), and Services (ISIC codes 45, 50-52, 55, 60-64, and 72). Regional stratification did not take place for the Chad ES.

Mode of data collection

Face-to-face [f2f]

Research instrument

Two questionnaires - Manufacturing amd Services were used to collect the survey data.

The Questionnaires have common questions (core module) and respectfully additional manufacturing- and services-specific questions. The eligible manufacturing industries have been surveyed using the Manufacturing questionnaire (includes the core module, plus manufacturing specific questions). Retail firms have been interviewed using the Services questionnaire (includes the core module plus retail specific questions) and the residual eligible services have been covered using the Services questionnaire (includes the core module).

Minnesota's original public land survey plat maps were created between 1848 and 1907 during the first government land survey of the state by the U.S. Surveyor General's Office. This collection of more than 3,600 maps includes later General Land Office (GLO) and Bureau of Land Management maps up through 2001. Scanned images of the maps are available in several digital formats and most have been georeferenced.

The survey plat maps, and the accompanying survey field notes, serve as the fundamental legal records for real estate in Minnesota; all property titles and descriptions stem from them. They also are an essential resource for surveyors and provide a record of the state's physical geography prior to European settlement. Finally, they testify to many years of hard work by the surveying community, often under very challenging conditions.

The deteriorating physical condition of the older maps (drawn on paper, linen, and other similar materials) and the need to provide wider public access to the maps, made handling the original records increasingly impractical. To meet this challenge, the Office of the Secretary of State (SOS), the State Archives of the Minnesota Historical Society (MHS), the Minnesota Department of Transportation (MnDOT), MnGeo and the Minnesota Association of County Surveyors collaborated in a digitization project which produced high quality (800 dpi), 24-bit color images of the maps in standard TIFF, JPEG and PDF formats - nearly 1.5 terabytes of data. Funding was provided by MnDOT.

In 2010-11, most of the JPEG plat map images were georeferenced. The intent was to locate the plat images to coincide with statewide geographic data without appreciably altering (warping) the image. This increases the value of the images in mapping software where they can be used as a background layer.

Vector polygon map data of property parcels from Scioto County, Ohio containing 58,630 features.

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Property parcel GIS map data consists of detailed information about individual land parcels, including their boundaries, ownership details, and geographic coordinates.

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Property parcel data can be used to analyze and visualize land-related information for purposes such as real estate assessment, urban planning, or environmental management.

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Available for viewing and sharing as a map in a Koordinates map viewer. This data is also available for export to DWG for CAD, PDF, KML, CSV, and GIS data formats, including Shapefile, MapInfo, and Geodatabase.

Snapshot img

Enterprise Search Market Size 2025-2029

The enterprise search market size is forecast to increase by USD 4.21 billion, at a CAGR of 10.5% between 2024 and 2029.

The market is experiencing significant growth, driven by the increasing penetration of the Internet worldwide and the rise of digital assistants and voice search technologies. These trends reflect the evolving digital landscape, as businesses and organizations seek to optimize their online presence and enhance user experience. However, the market also faces challenges, most notably the growing concern related to cyberattacks. As businesses increasingly rely on digital platforms for information management and retrieval, ensuring the security of enterprise search systems becomes paramount. Improvements in information technology, such as 5G technology and broadband, are also contributing to the growth of the market.
Companies must invest in robust security measures to protect sensitive data and mitigate the risks associated with cyber threats. To capitalize on the opportunities presented by the market and navigate these challenges effectively, organizations should prioritize innovation, invest in advanced technologies, and maintain a strong focus on user experience and security. Artificial Intelligence (AI) and Natural Language Processing (NLP) technologies are revolutionizing search experiences, enabling personalized results and improving user experience.

What will be the Size of the Enterprise Search Market during the forecast period?

Get Key Insights on Market Forecast (PDF) Request Free Sample

The market continues to evolve, driven by advancements in technology and the increasing demand for efficient information access across various sectors. Key components of this dynamic landscape include keyword extraction, search indexing, and information architecture, which enable accurate and relevant results. Boolean search and search analytics provide further refinement, while metadata extraction and data governance ensure data quality. Personalized search, natural language processing, and vector search are transforming the user experience, delivering more precise and contextually relevant results. Knowledge management, relevance ranking, and search filtering further enhance the search process, while semantic search and user behavior analysis provide deeper insights.
Clickstream data and query logs offer valuable information for optimizing search UI and search performance. Document ranking and query understanding are essential for delivering accurate and timely results. Search UI and search performance are crucial factors in user satisfaction, driving the ongoing development of enterprise search solutions. According to recent industry reports, the market is expected to grow by over 15% annually, reflecting the continuous demand for advanced search capabilities and the integration of emerging technologies. For instance, a leading financial services company reported a 25% increase in sales following the implementation of a new enterprise search solution.

How is this Enterprise Search Industry segmented?

The enterprise search industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD million' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments.

Type

  Local search
  Hosted search


End-user

  Large enterprises
  SMEs


Deployment

  Cloud-based
  On-premises


Geography

  North America

    US
    Canada


  Europe

    France
    Germany
    Italy
    UK


  APAC

    China
    India
    Japan


  South America

    Brazil


  Rest of World (ROW)

By Type Insights

The Local search segment is estimated to witness significant growth during the forecast period. The market in the US is a significant and continually evolving sector, with local search holding a substantial share in 2024. Approximately 60% of all searches performed on Google are local, underlining its importance for businesses aiming to reach their target audience effectively. This trend is expected to persist, as the local search segment is projected to continue its dominance during the forecast period. Local search offers numerous advantages for various industries, including real estate, legal firms, dental clinics, and small businesses. By optimizing a website for a specific geographical area, businesses can attract more targeted traffic and improve online visibility. Deep learning applications, including natural language processing and large language models, are transforming software design patterns, such as microservices architecture and prompt engineering software.

This, in turn, can lead to increased footfall at brick-and-mortar locations and higher online sales. Furthermore, local search helps businesses maintain accurate online directories and citations, ensuring consistent inf