Rents for industrial real estate in the U.S. have increased since 2017, with flexible/service space reaching the highest price per square foot in 2024. In just a year, the cost of, flex/service space rose by nearly *****U.S. dollars per square foot. Manufacturing facilities, warehouses, and distribution centers had lower rents and experienced milder growth. Los Angeles, Orange County, and Inland Empire, California, are some of the most expensive markets in the country. Office real estate is pricier Industrial real estate is far from being the most expensive commercial property type. For instance, average rental rates in major U.S. metros for office space are much higher than those for industrial space. This is most likely because office units are generally located in urban areas where there is limited space and thus higher demand, whereas industrial units are more suited to the outskirts of such urban areas. Industrial units, such as warehouses or factories, require much more space because they need to house large, heavy equipment or serve as a storage unit for future shipments. Big-box distribution space is gaining in importance Warehouses and distribution may currently command the lowest average rent per square foot among industrial space types, but the growing popularity of the asset class has earned it considerable gains over the past years. In 2021 and 2022, high occupier demand and insufficient supply led to soaring taking rent of big-box buildings. During that time, the vacancy rate of distribution centers fell below ****percent. The development of industrial and logistics facilities has accelerated since then, with the new supply coming to market, causing the vacancy rate to increase and the pressures on rent to ease.

The average rent for warehouse space in Detroit, Michigan, experienced an overall rise between 2017 and 2024, despite some fluctuations. In the first quarter of 2024, rents peaked, reaching **** U.S. dollars per square foot. Detroit is among the markets with the most industrial and logistic real estate inventory in the United States.

Commercial rents services price index (CRSPI) by North American Industry Classification System (NAICS). Monthly data are available from January 2006 for the total index and from January 2019 for all other indexes. The table presents data for the most recent reference period and the last five periods. The base period for the index is (2019=100).

The Central Business District (CBD) was the most expensive market for office real estate rental in Houston, Texas in the second quarter of 2024. The average direct asking rental rate of office space was approximately ** U.S. dollars per square feet, compared to **** U.S. dollars per square feet in FM 1960. Among the major office markets in Texas, Dallas had the most inventory, while Austin had the highest rental rates.

Malls had the most expensive rental space among the different types of retail real estate in the United States in 2023. As of the fourth quarter of the year, the average rent in malls was ***** U.S. dollars per square foot, compared to ***** U.S. dollars for all retail. General retail space, defined as single-tenant freestanding commercial buildings with parking, such as drugstores, grocery stores, and street front urban retail stores, had some of the lowest vacancy rates.

The average asking rent for Class A office space in Midtown Manhattan was ***** U.S. dollars per square foot in the second quarter of 2025. It was above the Manhattan average of ***** U.S. dollars but below that of Midtown South, which was the most expensive district at ***** U.S. dollars per square foot. What is Class A real estate?Class A real estate refers to the best properties in terms of appearance, age, quality of infrastructure and location. These properties usually command the highest rental rates, due to their high quality. In the U.S., Manhattan has the most expensive rents for Class A offices.Midtown vs Midtown SouthMidtown Manhattan contains the Empire State Building, MoMA, Grand Central Station, and the United Nations Headquarters. The most expensive submarket there was Plaza District in 2025. Meanwhile, Midtown South is home to Madison Square Garden, Pennsylvania Station, Hudson Yards, and Koreatown. In 2025, the most expensive submarket there was Hudson Yards, followed by Chelsea and Hudson Square.

Graph and download economic data for Commercial Real Estate Prices for United States (COMREPUSQ159N) from Q1 2005 to Q1 2025 about real estate, commercial, rate, and USA.

In the first quarter of 2025, offices yielded the highest rent in the U.S. commercial real estate market. The average effective rent for office space amounted to ***** U.S. dollars per square foot, which was approximately *** U.S. dollars below the asking rent.

The data was scraped from the Magicbricks website. The following are the details of the dataset:

• Title: The title of the property listing.
• Price: The monthly rent of the property.
• Area: The total area of the property in square feet.
• BHK: The number of bedrooms in the property.
• Bathrooms: The number of bathrooms on the property.
• Furnished: Whether the property is furnished or not.
• Balconies: The number of balconies in the property.
• Floor: The floor number of the property.
• Ownership: The type of ownership of the property (i.e., freehold, leasehold, etc.).
• Facing: The direction the property faces.
• Amenities: The amenities that are available in the property or the surrounding area.
• Transaction Type: Whether the property is for sale or rent.
• Property Type: The type of property (i.e., apartment, house, villa, etc.).
• Location: The location of the property.
• Year of Construction: The year the property was built.
• Is Luxury: Whether the property is considered to be a luxury property.
• Description: A brief description of the property.
• Property Image: A link to the property image.

Key points in the dataset are :

1) This dataset can be used to gain insights into the rental market in Mumbai. For example, you could use the data to analyze the average rent for different types of properties, the most popular neighborhoods for renters, or the factors that affect the price of rent. You could also use the data to identify trends in the rental market, such as the increasing popularity of furnished apartments or the rising prices of luxury properties.

2) The dataset could also be used by real estate agents to help their clients find rental properties that meet their needs and budget. Additionally, the data could be used by developers to make informed decisions about the types of properties to build in Mumbai.

3) Overall, this dataset is a valuable resource for anyone who is interested in the rental market in Mumbai. It can be used to gain insights into the market, identify trends, and make informed decisions.

(Disclaimer: The data in this dataset has been gathered from publicly available sources. While the data is believed to be reliable and all privacy policies have been observed, No personal information such as email addresses, mobile numbers, or physical addresses hasn't been collected. I scrape data from the website Magicbricks to study the real estate market of Mumbai. ) Thank you !!!

The average monthly asking rent per square foot of shopping center real estate in the leading markets in Texas increased between 2020 and 2024. Although this trend was observed in all four major markets, Austin recorded the highest rent in 2024, at **** U.S. dollars per square foot. This was higher than both the national average and the average for the South region.

This table includes the average increase of rent paid for dwellings in the Netherlands. It shows a breakdown regarding the rent change in- and excluding rent harmonisation. Another breakdown is for the commercial and non-commercial rent movements of dwellings. The rent change is given on an annual basis and is significant input for the housing price movements in the consumer price index.

Data available from: 2009

Status of the figures: All values are definite.

Frequency: Discontinued on 10 October 2011.

Israel Rental Prices: Avg: Tel Aviv data was reported at 7,116.600 ILS in Dec 2024. This records an increase from the previous number of 7,049.600 ILS for Sep 2024. Israel Rental Prices: Avg: Tel Aviv data is updated quarterly, averaging 5,952.500 ILS from Mar 2017 (Median) to Dec 2024, with 32 observations. The data reached an all-time high of 7,116.600 ILS in Dec 2024 and a record low of 5,300.865 ILS in Mar 2017. Israel Rental Prices: Avg: Tel Aviv data remains active status in CEIC and is reported by Central Bureau of Statistics. The data is categorized under Global Database’s Israel – Table IL.EB009: Average Rental Price: Dwellings.

San Francisco's office rental market showcases significant variation across its submarkets, with Mission Bay commanding the highest rates at *** U.S. dollars per square foot in the third quarter of 2024. This premium location demanded nearly double the city's average rate, highlighting the stark differences in desirability and demand within the city's commercial real estate landscape. Economic powerhouse The San Francisco Bay Area's economic prowess is evident in its impressive economic growth over the past 20 years. The city's strength is fueled by the presence of major technology companies and a thriving startup ecosystem. The region's economic significance extends beyond local boundaries, contributing substantially to California's position as the state with the highest GDP in the country. This economic vitality helps explain the sustained demand for office space across various San Francisco submarkets. Offices: global context and market trends In a global context, San Francisco's office rental rates are relatively high but not the most expensive worldwide. In 2024, London, Hong Kong, and New York emerged as the top three most expensive office rental markets globally. Over the past five years, San Francisco has experienced a decline in office rents. This trend aligns with broader shifts in the office real estate sector, influenced by the COVID-19 pandemic and the rise of hybrid work. Despite these challenges, certain San Francisco submarkets like Mission Bay and The Presidio continue to command premium rates, reflecting their enduring appeal to commercial tenants.

The average annual rent for manufacturing space in Cleveland, Ohio, soared in 2023. In the first quarter of 2024, the rental cost rose even higher, hitting amounted to nearly **** U.S. dollars per square foot. Despite the increase, below the average rent for manufacturing space in the United States.

The property listings dataset contains information about real estate properties available for sale or rent in Brazil. It includes details such as property type (apartment, house, commercial property), location (city, neighborhood), size (square footage, number of rooms), price, amenities, and contact information for the property owner or real estate agent. This dataset can be used for market analysis, property valuation, and identifying trends in the real estate market.

Sales and Rental Prices Dataset: The sales and rental prices dataset provides information about the prices of real estate properties in Brazil. It includes data on property transactions, including sale prices and rental prices per square meter or per month. This dataset can be used to analyze price trends, compare property prices across different regions, and identify areas with high or low real estate market demand.

Property Characteristics Dataset: The property characteristics dataset contains detailed information about the features and attributes of real estate properties. It includes data such as the number of bedrooms, bathrooms, parking spaces, floor plan, construction year, building amenities, and property condition. This dataset can be used for property classification, identifying popular property features, and evaluating property quality.

Geographical Data: Geographical data includes information about the location and spatial features of real estate properties in Brazil. It can include data such as latitude and longitude coordinates, zoning information, proximity to amenities (schools, hospitals, parks), and neighborhood demographics. This dataset can be used for spatial analysis, identifying hotspots or desirable locations, and understanding the neighborhood characteristics.

Property Market Trends Dataset: The property market trends dataset provides information about market conditions and trends in the real estate sector in Brazil. It includes data such as the number of property listings, average time on the market, price fluctuations, mortgage interest rates, and economic indicators that impact the real estate market. This dataset can be used for market forecasting, understanding market dynamics, and making informed investment decisions.

Real Estate Regulatory Data: Real estate regulatory data includes information about legal and regulatory aspects of the real estate sector in Brazil. It can include data on property ownership, property taxes, zoning regulations, building permits, and legal restrictions on property transactions. This dataset can be used for legal compliance, understanding property ownership rights, and assessing the legal framework for real estate transactions.

Historical Data: Historical real estate data includes past records and trends of property prices, market conditions, and sales volumes in Brazil. This dataset can span several years and can be used to analyze long-term market trends, compare current market conditions with historical data, and assess the performance of the real estate market over time.

The cost of rent for office space in London is the highest in Europe. In the fourth quarter of 2023, the West End had average rents per square foot of *** British pounds. The average annual rent in London for prime office space was substantially higher than in any other European market. Prime yields For commercial real estate investors, prime yields in London averaged **** percent in 2023. As compared to the rest of the United Kingdom, yields for prime office space in London were notably lower. Commercial investments Office real estate, which comes under the broader term of commercial real estate, traditionally accounts for the lion's share of commercial real estate investments. In recent years, however, this share has been gradually declining. Despite this trend, the UK is one of the leading office real estate investment markets in Europe.

Rent Inflation in China decreased to -0.10 percent in October from 0 percent in September of 2025. This dataset includes a chart with historical data for China Rent Inflation.

Real Estate Rentals in Ecuador

Analyzing Location, Price, and Amenities

By [source]

About this dataset

This dataset provides a comprehensive overview of rental properties in Ecuador. It contains a wealth of information about the properties, such as their titles and locations, as well as the number of bedrooms, bathrooms and garages within them. Furthermore, it also includes valuable data points like area size to aid informed decisions for those looking to rent or lease property within the country. The data can be used for various reasons such as analyzing trends in properties offered for rent and looking into pricing differences between regions or localities. It is an invaluable resource for anyone interested in real estate within Ecuador and beyond!

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How to use the dataset

This dataset is an ideal starting point for anyone looking to dive into the rental market in Ecuador. With this data, you can explore the different rental properties, look at their prices and features and compare them with other properties in the same area. Additionally, it gives you insight into what type of property would best suit your needs and budget, as well as how many bedrooms and bathrooms are necessary to get your desired living space.

To use this dataset effectively, start by selecting specific columns that correspond to important information such as location (Provincia), price (Precio) or number of bedrooms & bathrooms (Num. dormitorios & Num. banos). With these columns selected, run some analysis on the data such as averages or mode/median values for each selection of parameters; this will give you a general idea on pricing within certain areas or specific types of houses/apartments available for rent in Ecuador. You may also wish to include all variables within your analysis; this will give more comprehensive insights about which variables are impacting price the most in a given area, allowing for further comparisons between different regions throughout Ecuador . With these tools at your disposal you'll have all the info needed to decipher which properties will fit your needs without sacrificing quality!

Research Ideas

• Use this dataset to determine the average rental costs in different provinces of Ecuador, which can be used to inform the user on how much they should expect to pay for rent when visiting or relocating.
• Analyze and compare rental prices within a certain city or neighborhood by using the data provided on rental properties in that area.
• Generate heat maps that show the variation in prices across different areas based on specific criteria such as size, number of bedrooms, etc., which could give users a better understanding of where it is most affordable and valuable to buy or rent property in Ecuador

Acknowledgements

If you use this dataset in your research, please credit the original authors. Data Source

License

License: CC0 1.0 Universal (CC0 1.0) - Public Domain Dedication No Copyright - You can copy, modify, distribute and perform the work, even for commercial purposes, all without asking permission. See Other Information.

Columns

File: real_state_ecuador_dataset.csv | Column name | Description | |:---------------------|:--------------------------------------------------------| | Titulo | Title of the rental property. (String) | | Precio | Price of the rental property. (Numeric) | | Provincia | Province where the rental property is located. (String) | | Lugar | Location of the rental property. (String) | | Num. dormitorios | Number of bedrooms in the rental property. (Numeric) | | Num. banos | Number of bathrooms in the rental property. (Numeric) | | Area | Area of the rental property. (Numeric) | | Num. garages | Number of garages in the rental property. (Numeric) |

Acknowledgements

If you use this dataset in your research, please credit the original authors. If you use this dataset in your research, please credit .

This dataset contains detailed information about rental properties across various locations in the UK. The data was collected by scraping Rightmove, a popular real estate platform. Each entry in the dataset includes the property's address, subdistrict code, rental price, deposit amount, letting type, furnish type, council tax details, property type, number of bedrooms and bathrooms, size in square feet, average distance to the nearest train station, and the count of nearest stations.

Researchers and analysts interested in the UK rental market can utilize this dataset to explore rental trends, pricing variations based on location and property type, amenities preferences, and more. The dataset provides a valuable resource for machine learning models, statistical analysis, and market research in the real estate sector.

Metadata: Source: The data was collected by scraping the Rightmove real estate platform, a leading source for property listings in the UK. Date Range: The dataset covers rental property listings available during the scraping period. Geographical Coverage: Primarily focused on various locations across the UK, providing insights into regional rental markets. Data Fields: Address: The location of the rental property. Subdistrict Code: A code representing the subdistrict or area of the property. Rent: The monthly rental price in GBP (£) for the property. Deposit: The deposit amount required for renting the property. Let Type: Indicates whether the property is available for short-term or long-term rental. Furnish Type: Describes the furnishing status of the property (e.g., furnished, unfurnished, or flexible options). Council Tax: Information about the council tax associated with the property. Property Type: Specifies the type of property, such as apartment, flat, maisonette, etc. Bedrooms: The number of bedrooms in the property. Bathrooms: The number of bathrooms in the property. Size: The size of the property in square feet (sq ft). Average Distance to Nearest Station: The average distance (in miles) to the nearest train station from the property. Nearest Station Count: The count of nearest train stations within a certain distance from the property. Data Quality: The data may contain missing values or "Ask agent" placeholders, which require direct inquiry with agents or landlords for specific information. Potential Uses: The dataset can be used for market analysis, rental price prediction models, understanding property preferences, and exploring the impact of location and amenities on rental properties in the UK.

Rent Inflation in Canada increased to 5.20 percent in October from 4.80 percent in September of 2025. This dataset includes a chart with historical data for Canada Rent Inflation.