As of 2024, Casablanca was the Moroccan city with the highest average prices for villas and apartments. These amounted to ****** Moroccan dirhams (MAD) per square meter (roughly ***** U.S. dollars) and ****** MAD per square meter (roughly ***** U.S. dollars), respectively. Moreover, the capital city, Rabat, followed as the second most expensive real estate hub in the country for both villas and apartments.

The average price per square foot of floor space in new single-family housing in the United States decreased after the great financial crisis, followed by several years of stagnation. Since 2012, the price has continuously risen, hitting *** U.S. dollars per square foot in 2022. In 2024, the average sales price of a new home exceeded ******* U.S. dollars. Development of house sales in the U.S. One of the reasons for rising property prices is the gradual growth of house sales between 2011 and 2020. This period was marked by the gradual recovery following the subprime mortgage crisis and a growing housing sentiment. Another significant factor for the housing demand was the growing number of new household formations each year. Despite this trend, housing transactions plummeted in 2021, amid soaring prices and borrowing costs. In 2021, the average construction cost for single-family housing rose by nearly ** percent year-on-year, and in 2022, the increase was even higher, at close to ** percent. Financing a house purchase Mortgage interest rates in the U.S. rose dramatically in 2022 and remained elevated until 2024. In 2020, a homebuyer could lock in a 30-year fixed interest rate of under ***** percent, whereas in 2024, the average rate for the same mortgage type was more than twice higher. That has led to a decline in homebuyer sentiment, and an increasing share of the population pessimistic about buying a home in the current market.

Morocco Market Capitalization: Casablanca Stock Exchange: ow CM: Real Estate data was reported at 148,000,000.000 MAD in Oct 2018. This records an increase from the previous number of 109,599,563.120 MAD for Sep 2018. Morocco Market Capitalization: Casablanca Stock Exchange: ow CM: Real Estate data is updated monthly, averaging 426,240,230.940 MAD from Apr 2005 (Median) to Oct 2018, with 155 observations. The data reached an all-time high of 13,204,508,686.000 MAD in Sep 2007 and a record low of 1,926.000 MAD in Dec 2005. Morocco Market Capitalization: Casablanca Stock Exchange: ow CM: Real Estate data remains active status in CEIC and is reported by Casablanca Stock Exchange. The data is categorized under Global Database’s Morocco – Table MA.Z002: Casablanca Stock Exchange: Market Capitalization.

Morocco Market Capitalization: Casablanca Stock Exchange: Real Estate data was reported at 9,090,310,535.400 MAD in Nov 2018. This records an increase from the previous number of 8,005,863,445.400 MAD for Oct 2018. Morocco Market Capitalization: Casablanca Stock Exchange: Real Estate data is updated monthly, averaging 28,370,326,440.550 MAD from Dec 2001 (Median) to Nov 2018, with 204 observations. The data reached an all-time high of 112,967,528,000.000 MAD in Aug 2008 and a record low of 82,229,600.000 MAD in Jul 2002. Morocco Market Capitalization: Casablanca Stock Exchange: Real Estate data remains active status in CEIC and is reported by Casablanca Stock Exchange. The data is categorized under Global Database’s Morocco – Table MA.Z002: Casablanca Stock Exchange: Market Capitalization.

Morocco Market Capitalization: Casablanca Stock Exchange: BM: Real Estate data was reported at 25.512 MAD mn in 2017. This records a decrease from the previous number of 363.695 MAD mn for 2016. Morocco Market Capitalization: Casablanca Stock Exchange: BM: Real Estate data is updated yearly, averaging 91.148 MAD mn from Dec 2002 (Median) to 2017, with 16 observations. The data reached an all-time high of 13,458.727 MAD mn in 2007 and a record low of 0.000 MAD mn in 2013. Morocco Market Capitalization: Casablanca Stock Exchange: BM: Real Estate data remains active status in CEIC and is reported by Casablanca Stock Exchange. The data is categorized under Global Database’s Morocco – Table MA.Z003: Casablanca Stock Exchange: Market Capitalization: Annual.

Rent prices per square meter in the largest Dutch cities have been on an upward trend after a slight decline in 2020. Amsterdam remained the most expensive city to live in, averaging a monthly rent of 27.6 euros per square meter for residential real estate in the private rental sector. Monthly rents in Utrecht were around six euros cheaper per square meter. Both cities were above the average rent price of residential property in the Netherlands overall, whereas Rotterdam and The Hague were slightly below that. Buying versus renting, what do the Dutch prefer? The Netherlands is one of Europe’s leading countries when it comes to homeownership, having funded this with a mortgage. In 2023, around 60 percent of people living in the Netherlands were homeowners with a mortgage. This is because Dutch homeowners were able to for many years to deduct interest paid from pre-tax income (a system known in the Netherlands as hypotheekrenteaftrek). This resulted in the Netherlands having one of the largest mortgage debts across the European continent. Total mortgage debt of Dutch households reached a value of approximately 803 billion euros in 2023. Is the Dutch housing market overheating? There are several indicators for the Netherlands that allow to investigate whether the housing market is overheating or not. House price indices corrected for inflation in the Netherlands suggest, for example, that prices have declined since 2022. The Netherlands’ house-price-to-rent-ratio, on the other hand, has exceeded the pre-crisis level in 2019. These figures, however, are believed to be significantly higher for cities like Amsterdam, as it was suggested for a long time that the prices of owner-occupied houses were increasing faster than rents in the private rental sector.

Graph and download economic data for Housing Inventory: Active Listing Count in Washington-Arlington-Alexandria, DC-VA-MD-WV (CBSA) (ACTLISCOU47900) from Jul 2016 to Jun 2025 about DC, Washington, MD, WV, active listing, VA, listing, and USA.

According to Cognitive Market Research, The Global American Furniture market will grow at a compound annual growth rate (CAGR) of 4.0% from 2023 to 2030.

The demand for American Furniture is rising due to the raising of people's discretionary incomes.
Demand for indoor remains higher in the American Furniture market.
The wood held the highest American Furniture market revenue share in 2023.
North America will continue to lead, whereas the Europe American Furniture market will experience the strongest growth until 2030.

Housing Market Strength to Provide Viable Market Output

A significant market driver for American Furniture has been strength. Housing demand was driven by low mortgage rates and people's need for greater room as they spent more time at home. Demand for furniture rose as more people looked for new residences or started remodeling projects. This tendency is anticipated to continue, with the housing sector being a major factor in supporting furniture purchases. Due to the increase in remote work, the requirement for dedicated home offices has also increased demand for office furniture. The housing market will continue to be a major factor driving the American furniture market as long as it remains robust.

E-commerce and Digitation to Propel Market Growth

The increasing use of e-commerce and digital transformation is a major factor propelling the American furniture business. The pandemic changed consumer behavior: furniture purchases are now made online. Manufacturers and retailers swiftly adjusted, strengthening their online presence and e-commerce skills. Thanks to this shift, customers could now shop for furniture online, even for larger purchases. Online shopping's ease and security have allowed furniture sales to grow significantly through e-commerce. The expansion of digital furniture retail is further fueled by the development of augmented reality and virtual showrooms, which offer immersive online furniture purchasing experiences. The American furniture market is changing, and one of the main factors driving this change is the continued digital transformation of the sector and the ease it provides to consumers.

Rise in disposable income and increased consumer spending will propel market growth 

Market Dynamics of the American Furniture Market

Key Drivers of American Furniture Market

Rising Homeownership and Renovation Activities

With increasing homeownership rates, especially among millennials and Gen Z, and a growing culture of home renovation and remodeling, demand for furniture—both essential and decorative—continues to rise. Government incentives for homebuyers and low mortgage rates (historically) have further accelerated the trend of furniture spending.

Growth of E-commerce and Omnichannel Retailing

Digital transformation in the furniture industry has enabled consumers to browse, customize, and purchase furniture online. Brands like Wayfair, Ashley, and IKEA have optimized omnichannel strategies that combine physical showrooms with online platforms, offering greater convenience, personalization, and access to a wider product range.

Restraints of American Furniture Market

High Raw Material and Transportation Costs

The cost of wood, steel, foam, and upholstery materials has surged due to supply chain disruptions, tariffs, and inflation. Additionally, rising freight charges and labor costs have strained manufacturer margins and driven up retail prices, making furniture less affordable for certain customer segments.

Long Lead Times and Supply Chain Delays

The market has been affected by global shipping delays, port congestion, and shortages of key materials—particularly since the pandemic. Extended delivery timelines and backorders impact customer satisfaction and hinder inventory planning for retailers, leading to lost sales opportunities.

Key Trends of American Furniture Market

Growing Demand for Sustainable and Eco-Friendly Furniture

Consumers are increasingly favoring furniture made from reclaimed wood, recycled materials, and non-toxic finishes. Brands are responding with green certifications (e.g., FSC-certified wood), transparency in supply chains, and eco-conscious product lines—making sustainability a key market differentiator.

Personalization and Customization Options

There's rising interest ...

Brazilian E-Commerce Public Dataset by Olist

Welcome! This is a Brazilian ecommerce public dataset of orders made at Olist Store. The dataset has information of 100k orders from 2016 to 2018 made at multiple marketplaces in Brazil. Its features allows viewing an order from multiple dimensions: from order status, price, payment and freight performance to customer location, product attributes and finally reviews written by customers. We also released a geolocation dataset that relates Brazilian zip codes to lat/lng coordinates.

This is real commercial data, it has been anonymised, and references to the companies and partners in the review text have been replaced with the names of Game of Thrones great houses.

Join it With the Marketing Funnel by Olist

We have also released a Marketing Funnel Dataset. You may join both datasets and see an order from Marketing perspective now!

Instructions on joining are available on this Kernel.

Context

This dataset was generously provided by Olist, the largest department store in Brazilian marketplaces. Olist connects small businesses from all over Brazil to channels without hassle and with a single contract. Those merchants are able to sell their products through the Olist Store and ship them directly to the customers using Olist logistics partners. See more on our website: www.olist.com

After a customer purchases the product from Olist Store a seller gets notified to fulfill that order. Once the customer receives the product, or the estimated delivery date is due, the customer gets a satisfaction survey by email where he can give a note for the purchase experience and write down some comments.

Attention

1. An order might have multiple items.
2. Each item might be fulfilled by a distinct seller.
3. All text identifying stores and partners where replaced by the names of Game of Thrones great houses.

Example of a product listing on a marketplace

https://i.imgur.com/JuJMns1.png" alt="Example of a product listing on a marketplace">

Data Schema

The data is divided in multiple datasets for better understanding and organization. Please refer to the following data schema when working with it: https://i.imgur.com/HRhd2Y0.png" alt="Data Schema">

Classified Dataset

We had previously released a classified dataset, but we removed it at Version 6. We intend to release it again as a new dataset with a new data schema. While we don't finish it, you may use the classified dataset available at the Version 5 or previous.

Inspiration

Here are some inspiration for possible outcomes from this dataset.

NLP:
This dataset offers a supreme environment to parse out the reviews text through its multiple dimensions.

Clustering:
Some customers didn't write a review. But why are they happy or mad?

Sales Prediction:
With purchase date information you'll be able to predict future sales.

Delivery Performance:
You will also be able to work through delivery performance and find ways to optimize delivery times.

Product Quality:
Enjoy yourself discovering the products categories that are more prone to customer insatisfaction.

Feature Engineering:
Create features from this rich dataset or attach some external public information to it.

Acknowledgements

Thanks to Olist for releasing this dataset.

As of September 2024, renting a one-bedroom apartment in the city center in Morocco costed around ***** Moroccan dirhams, some *** U.S. dollars. This was slightly lower than renting a three-bedroom apartment outside the city center, which costed around ***** Moroccan dirhams on average, around *** U.S. dollars.

Ambulatory healthcare was the type of building with the highest construction costs in Ontario (Canada) in 2023. The cost of that type of building ranged from 7,110 to 8,750 Canadian dollars per square meter. Townhouses with mid-end specifications were, along with warehouses, among the cheapest buildings to construct, even though the townhouse sale price in Canada was much higher in 2023 than in a decade earlier. On the other side of the residential spectrum, the construction cost of high-rise buildings with mid-end specifications could reach up to 5,370 Canadian dollars per square meter. The housing sector in Ontario The fast population growth in Toronto, the main city in Ontario, has put pressure on its housing market. From 2001 to 2022, the number of people living in Canada’s largest city increased by over 37 percent. During the past years, house prices in Ontario rose at a similarly fast pace. Combined, these elements signal a strong demand for homes in Toronto and Ontario as a whole. The construction sector has responded to this trend: In 2022, most housing starts in Canada took place in the province of Ontario. That same year, EllisDon Corporation, with headquarters in Mississauga (Ontario), was the second-largest contractor in Canada. One of its largest residential/mixed-use projects under development is the 489-539 King St. West Development, in Toronto. Construction cost in North America Building construction costs in Quebec, the second most populous province in Canada after Ontario, had a similar cost range: Ambulatory healthcare buildings were the most expensive, and warehouses were the cheapest to build. However, enclosed malls and higher education buildings were significantly more expensive in Quebec than in Ontario. Across the border, the cities with the highest residential construction costs in the U.S. were San Francisco for multi-family housing, and New York City for single-family housing. Meanwhile, Los Angeles, San Francisco, and New York had the highest hotel construction costs in the U.S.