Russia is the largest country in the world by far, with a total area of just over 17 million square kilometers. After Antarctica, the next three countries are Canada, the U.S., and China; all between 9.5 and 10 million square kilometers. The figures given include internal water surface area (such as lakes or rivers) - if the figures were for land surface only then China would be the second largest country in the world, the U.S. third, and Canada (the country with more lakes than the rest of the world combined) fourth. Russia Russia has a population of around 145 million people, putting it in the top ten most populous countries in the world, and making it the most populous in Europe. However, it's vast size gives it a very low population density, ranked among the bottom 20 countries. Most of Russia's population is concentrated in the west, with around 75 percent of the population living in the European part, while around 75 percent of Russia's territory is in Asia; the Ural Mountains are considered the continental border. Elsewhere in the world Beyond Russia, the world's largest countries all have distinctive topographies and climates setting them apart. The United States, for example, has climates ranging from tundra in Alaska to tropical forests in Florida, with various mountain ranges, deserts, plains, and forests in between. Populations in these countries are often concentrated in urban areas, and are not evenly distributed across the country. For example, around 85 percent of Canada's population lives within 100 miles of the U.S. border; around 95 percent of China lives east of the Heihe–Tengchong Line that splits the country; and the majority of populations in large countries such as Australia or Brazil live near the coast.

The average for 2021 based on 196 countries was 656013 sq. km. The highest value was in Russia: 16376870 sq. km and the lowest value was in Monaco: 2 sq. km. The indicator is available from 1961 to 2022. Below is a chart for all countries where data are available.

Land area (sq. km) in World was reported at 129718826 sq. Km in 2022, according to the World Bank collection of development indicators, compiled from officially recognized sources. World - Land area (sq. km) - actual values, historical data, forecasts and projections were sourced from the World Bank on July of 2025.

Based on land area, Brazil is the largest country in Latin America by far, with a total area of over 8.5 million square kilometers. Argentina follows with almost 2.8 million square kilometers. Cuba, whose surface area extends over almost 111,000 square kilometers, is the Caribbean country with the largest territory.

Brazil: a country with a lot to offer

Brazil's borders reach nearly half of the South American subcontinent, making it the fifth-largest country in the world and the third-largest country in the Western Hemisphere. Along with its landmass, Brazil also boasts the largest population and economy in the region. Although Brasília is the capital, the most significant portion of the country's population is concentrated along its coastline in the cities of São Paulo and Rio de Janeiro.

South America: a region of extreme geographic variation

With the Andes mountain range in the West, the Amazon Rainforest in the East, the Equator in the North, and Cape Horn as the Southern-most continental tip, South America has some of the most diverse climatic and ecological terrains in the world. At its core, its biodiversity can largely be attributed to the Amazon, the world's largest tropical rainforest, and the Amazon river, the world's largest river. However, with this incredible wealth of ecology also comes great responsibility. In the past decade, roughly 80,000 square kilometers of the Brazilian Amazon were destroyed. And, as of late 2019, there were at least 1,000 threatened species in Brazil alone.

We (Intelligent Mining and Analysis of Remote Sensing big data, IMARS) create a large-scale annotated dataset (Globe230k) for land use/land cover (LULC) mapping, which is annotated on Google Earth image of 1 m spatial resolution. Globe230k is annotated by numerous experts and students major in survey and mapping after necessary training, through visual interpretation on very high-resolution images, as well as in-situ field survey, under the guidance of the organized annotation pipeline. Globe230k has three superiorities:

1) Large scale: the Globe230k includes 232,819 annotated images with the size of 512x512 and spatial resolution of 1 m, with more than 3x1010 annotated pixels, and it includes 10 first-level categories.

2) Rich diversity: the annotated images are sampled from worldwide regions, with coverage area of over 60,000 km2, indicating a high variability and diversity. Besides, in order to ensure the category balance, we intentionally give more chance to the rare categories to be sampled, such as wetland, ice/snow, etc.

3) Multi-modal: Globe230k not only contains RGB bands, but also include other important features for Earth system research, such as Normalized differential vegetation index (NDVI), digital elevation model (DEM), vertical-vertical polarization (VV) bands, vertical-horizontal polarization (VH) bands, which can facilitate the multi-modal data fusion research. Due to the large size of the multi-modal dataset (DEM 1.91G, NDVI 164G, VVVH 372G), these dataset are stored on Baidu Yunpan, the download link is :https://pan.baidu.com/s/12AKbiqOXSf4fnm7mYkCE0g?pwd=230k, the extraction code is 230k.

The image patches and their corresponding annotated patches are respectively stored in "image_patch.zip" and "label_patch.zip" file. The RGB image is in forms of ".jpg", with size of 512x512, the pixel value is ranged from 0-255. The annotated patches is in forms of ".png", also with size of 512x512, the pixel value is ranged from 1-10, which respectively represent 1#cropland, 2#forest, 3#grass, 4#shrubland, 5#wetland, 6#water, 7#tundra, 8#impervious, 9#bareland, 10#ice/snow. The corresponding DEM, NDVI and VVVH patches are all in form of ".tif", with size of 512x512 (due to the different resolution of DEM, NDVI and VVVH patches, they are all uniformly resized to the same scale as the image patch).

The total 232,819 pairs are officially divided into training set, validation set, and test set, based on ratio of 7:1:2, which can be find in "train_num.txt","val_num.txt","test_num.txt" file. Based on this division, the official baseline accuracy of several state-of-the-art semantic segmentation can be found in the related arcticle (https://spj.science.org/doi/10.34133/remotesensing.0078).

We hope it can be used as a benchmark to promote further development of global land cover mapping and semantic segmentation algorithm development.

The international land border between the United States and Canada is the longest in the world at almost 8,900 kilometers. It includes the border between Canada and the continental U.S. as well as the border between Alaska and northern Canada.

Land Supply: Year to Date: Residential: Commodity Bldg: Deluxe & Large Size: Henan data was reported at 456.099 ha in Jun 2012. This records a decrease from the previous number of 867.830 ha for Dec 2011. Land Supply: Year to Date: Residential: Commodity Bldg: Deluxe & Large Size: Henan data is updated quarterly, averaging 586.855 ha from Jun 2010 (Median) to Jun 2012, with 4 observations. The data reached an all-time high of 867.830 ha in Dec 2011 and a record low of 380.300 ha in Jun 2010. Land Supply: Year to Date: Residential: Commodity Bldg: Deluxe & Large Size: Henan data remains active status in CEIC and is reported by Ministry of Natural Resources. The data is categorized under China Premium Database’s Real Estate Sector – Table CN.RKL: Land Supply: Residential: Commodity Building: Deluxe & Large Size: By Region.

Land Supply: Year to Date: Residential: Commodity Bldg: Deluxe & Large Size: Beijing data was reported at 47.000 ha in Jun 2012. This records a decrease from the previous number of 377.000 ha for Dec 2011. Land Supply: Year to Date: Residential: Commodity Bldg: Deluxe & Large Size: Beijing data is updated quarterly, averaging 312.500 ha from Jun 2010 (Median) to Jun 2012, with 4 observations. The data reached an all-time high of 716.000 ha in Dec 2010 and a record low of 47.000 ha in Jun 2012. Land Supply: Year to Date: Residential: Commodity Bldg: Deluxe & Large Size: Beijing data remains active status in CEIC and is reported by Ministry of Natural Resources. The data is categorized under China Premium Database’s Real Estate Sector – Table CN.RKL: Land Supply: Residential: Commodity Building: Deluxe & Large Size: By Region.

China Land Supply: Year to Date: Residential: Commodity Bldg: Deluxe & Large Size: Xinjiang Production & Construction Group data was reported at 10.923 ha in Jun 2012. This records an increase from the previous number of 9.370 ha for Dec 2011. China Land Supply: Year to Date: Residential: Commodity Bldg: Deluxe & Large Size: Xinjiang Production & Construction Group data is updated quarterly, averaging 10.923 ha from Jun 2010 (Median) to Jun 2012, with 3 observations. The data reached an all-time high of 32.234 ha in Jun 2010 and a record low of 9.370 ha in Dec 2011. China Land Supply: Year to Date: Residential: Commodity Bldg: Deluxe & Large Size: Xinjiang Production & Construction Group data remains active status in CEIC and is reported by Ministry of Natural Resources. The data is categorized under China Premium Database’s Real Estate Sector – Table CN.RKL: Land Supply: Residential: Commodity Building: Deluxe & Large Size: By Region.

China Land Supply: Year to Date: Residential: Commodity Bldg: Deluxe & Large Size data was reported at 9,569.304 ha in Jun 2012. This records a decrease from the previous number of 27,116.380 ha for Dec 2011. China Land Supply: Year to Date: Residential: Commodity Bldg: Deluxe & Large Size data is updated quarterly, averaging 20,573.988 ha from Jun 2010 (Median) to Jun 2012, with 4 observations. The data reached an all-time high of 29,621.120 ha in Dec 2010 and a record low of 9,569.304 ha in Jun 2012. China Land Supply: Year to Date: Residential: Commodity Bldg: Deluxe & Large Size data remains active status in CEIC and is reported by Ministry of Natural Resources. The data is categorized under China Premium Database’s Real Estate Sector – Table CN.RKL: Land Supply.

Source data of publication “Land grabbing” and REDD+: global synthesis of drivers and risks by Ameur M. Manceur, Sarah Carter, Louis Verchot, Martin Herold and Ralf Seppelt

Land area (sq. km) in United States was reported at 9147420 sq. Km in 2022, according to the World Bank collection of development indicators, compiled from officially recognized sources. United States - Land area (sq. km) - actual values, historical data, forecasts and projections were sourced from the World Bank on August of 2025.

This dataset consists of 1,759,830 multi-spectral image patches from the Sentinel-2 mission, annotated with image- and pixel-level land cover and land usage labels from the German land cover model LBM-DE2018 with land cover classes based on the CORINE Land Cover database (CLC) 2018. It includes pixel synchronous examples from each of the four seasons, plus an additional snowy set, spanning the time from April 2018 to February 2019. The patches were taken from 519,547 unique locations, covering the whole surface area of Germany, with each patch covering an area of 1.2km x 1.2km. The set is split into two overlapping grids, consisting of roughly 880,000 samples each, which are shifted by half the patch size in both dimensions. The images in each of the both grids themselves do not overlap.

Contents

Each sample includes:

• 3 10m resolution bands (RGB), 120px x 120px
• 1 10m resolution band (infrared), 120px x 120px
• 6 20m resolution bands, 60px x 60px
• 2 60m resolution bands, 20xp x 20px
• 1 pixel-level label map
• 2 binary masks for cloud and snow coverage
• 2 binary masks for easy and medium segmentation difficulties, marks areas <300px and <100px respectively
• 1 JSON-file containing additional meta-information

The meta.csv contains the following information about each sample:

• Which season it belongs to
• Which of the two grids it belongs to
• Coordinates of the patch center
• Whether it was acquired from Sentinel-2 Satellite A or B
• Date and time of image acquisition
• Snow and cloud coverage percentages
• Image-level multi-class labels
• Three additional image-level urbanization labels, based on the center pixel (details below)
• The path to the sample

Classes

ID	Class
1	Continuous urban fabric
2	Discontinuous urban fabric
3	Industrial or commercial units
4	Road and rail networks and associated land
5	Port areas
6	Airports
7	Mineral extraction sites
8	Dump sites
9	Construction sites
10	Green urban areas
11	Sport and leisure facilities
12	Non-irrigated arable land
13	Vineyards
14	Fruit trees and berry plantations
15	Pastures
16	Broad-leaved forest
17	Coniferous forest
18	Mixed forest
19	Natural grasslands
20	Moors and heathland
21	Transitional woodland/shrub
22	Beaches, dunes, sands
23	Bare rock
24	Sparsely vegetated areas
25	Inland marshes
26	Peat bogs
27	Salt marshes
28	Intertidal flats
29	Water courses
30	Water bodies
31	Coastal lagoons
32	Estuaries
33	Sea and ocean

Urbanization classes

• SLRAUM
  • 0: None
  • 1: Ländlicher Raum (~ rural area)
  • 2: Städtischer Raum (~ urban area)
• RTYP3
  • 0: None
  • 1: Ländliche Regionen (~ rural areas)
  • 2: Regionen mit Verstädterungsansätzen (~ urbanizing areas)
  • 3: Städtische Regionen (~ urban areas)
• KTYP4
  • 0: None
  • 1: Dünn besiedelte ländliche Kreise
  • 2: Kreisfreie Großstädte
  • 3: Ländliche Kreise mit Verdichtungsansätzen
  • 4: Städtische Kreise

Further information on the urbanization classes can be found here:

SLRAUM

https://www.bbsr.bund.de/BBSR/DE/forschung/raumbeobachtung/Raumabgrenzungen/deutschland/kreise/staedtischer-laendlicher-raum/kreistypen.html

RTYP3

https://www.bbsr.bund.de/BBSR/DE/forschung/raumbeobachtung/Raumabgrenzungen/deutschland/regionen/siedlungsstrukturelle-regionstypen/regionstypen.html

KTYP4

https://www.bbsr.bund.de/BBSR/DE/forschung/raumbeobachtung/Raumabgrenzungen/deutschland/kreise/siedlungsstrukturelle-kreistypen/kreistypen.html

License of landcover model

Bundesamt für Kartographie und Geodäsie

dl-de/by-2-0 from https://www.govdata.de/dl-de/by-2-0

© GeoBasis-DE / BKG 2022

Source of landcover model

https://gdz.bkg.bund.de/index.php/default/catalog/product/view/id/1071/s/corine-land-cover-5-ha-stand-2018-clc5-2018/

The statistic shows the largest countries in South America, based on land area. Brazil is the largest country by far, with a total area of over 8.5 million square kilometers, followed by Argentina, with almost 2.8 million square kilometers.

Real Estate Services Market Outlook

The global real estate services market size is projected to reach approximately USD 15.2 trillion by 2032, growing at a compound annual growth rate (CAGR) of 5.1% from USD 9.5 trillion in 2023. This growth is driven by several factors, including increasing urbanization, rising disposable incomes, and growing demand for both residential and commercial properties. The market is benefiting significantly from technological advancements that streamline property management and investment processes, making them more accessible and efficient for a wider range of end-users.

One of the primary growth factors for the real estate services market is the rapid urbanization occurring across the globe. As more people migrate to urban centers in search of better employment opportunities and enhanced quality of life, the demand for residential as well as commercial properties is increasing. This urban shift is not only limited to developed countries but is also highly pronounced in developing nations, where burgeoning middle-class populations are driving demand for modern housing and commercial spaces. Additionally, government initiatives focused on urban development and smart cities are further propelling the growth of the real estate services market.

Rising disposable incomes and changing lifestyle preferences are also contributing to the growth of the real estate services market. As individuals and families attain higher income levels, their purchasing power increases, enabling them to invest in more luxurious and better-located properties. This trend is especially evident in emerging economies, where economic growth is opening up new opportunities for property investment. Furthermore, the increased availability of mortgage options and favorable interest rates are making it easier for people to invest in both residential and commercial real estate, thus driving market expansion.

Technological advancements are another significant growth factor in the real estate services market. The integration of advanced technologies such as artificial intelligence, big data analytics, and blockchain in real estate transactions and property management is revolutionizing the industry. These technologies are enhancing the efficiency, transparency, and accessibility of real estate services. For instance, virtual tours and augmented reality are becoming popular tools for property viewing, making it easier for buyers and investors to make informed decisions. Additionally, online platforms are simplifying the property search and transaction process, thereby expanding the market's reach to a broader audience.

The role of IT in Real Estate has become increasingly significant as the industry embraces digital transformation. IT solutions are being leveraged to enhance operational efficiency, improve customer experiences, and provide data-driven insights. For instance, property management software and customer relationship management (CRM) systems are streamlining processes and enabling real estate firms to manage their portfolios more effectively. Additionally, the use of data analytics is helping firms to better understand market trends, customer preferences, and investment opportunities. As technology continues to evolve, the integration of IT in Real Estate is expected to drive further innovation and growth in the sector.

From a regional perspective, the Asia Pacific region is expected to witness substantial growth in the real estate services market. The region's rapid economic development, coupled with increasing urbanization and industrialization, is driving demand for both residential and commercial properties. Countries such as China, India, and Southeast Asian nations are experiencing significant investments in real estate, supported by favorable government policies and a thriving construction sector. North America and Europe are also key players in the market, with steady demand for real estate services driven by economic stability and robust real estate infrastructure.

Service Type Analysis

The real estate services market is broadly segmented into various service types, including property management, brokerage services, real estate investment, valuation services, and others. Property management services are crucial for maintaining and enhancing the value of real estate assets. These services encompass a range of activities such as rent collection, maintenance, tenant management, and compliance with regulations. The demand for p

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Residential Real Estate Market Size 2025-2029

The residential real estate market size is forecast to increase by USD 485.2 billion at a CAGR of 4.5% between 2024 and 2029.

The market is experiencing significant growth, fueled by increasing marketing initiatives that attract potential buyers and tenants. This trend is driven by the rising demand for housing solutions that cater to the evolving needs of consumers, particularly in urban areas. However, the market's growth trajectory is not without challenges. Regulatory uncertainty looms large, with changing policies and regulations posing a significant threat to market stability. Notably, innovative smart home technologies, such as voice-activated assistants and energy-efficient appliances, are gaining traction, offering enhanced convenience and sustainability for homeowners.
As such, companies seeking to capitalize on the opportunities presented by the growing the market must navigate these challenges with agility and foresight. The residential construction industry's expansion is driven by urbanization and the rising standard of living in emerging economies, including India, China, Thailand, Malaysia, and Indonesia. By staying abreast of regulatory changes and implementing innovative marketing strategies, they can effectively meet the evolving needs of consumers and maintain a competitive edge. These regulatory shifts can impact everything from property prices to financing options, making it crucial for market players to stay informed and adapt quickly.

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

Explore in-depth regional segment analysis with market size data - historical 2019-2023 and forecasts 2025-2029 - in the full report.
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In the dynamic housing market analysis, small flats continue to be a popular choice for both investors and first-time homebuyers, driven by affordability and urban growth. International investment in housing projects, including apartments and condominiums, remains strong, offering attractive investment returns. Real estate syndication and property management software facilitate efficient property ownership and management. Real estate loans, property insurance, and urban planning are essential components of the housing market, ensuring the development of affordable housing and addressing the needs of the middle class and upper middle class. Property disputes, property tax assessments, and real estate litigation are ongoing challenges, requiring careful attention from stakeholders.
Property search engines streamline the process of finding the perfect property, from studio apartments to luxury homes. Real estate auctions, land banking, and nano apartments are innovative solutions in the market, while property flipping and short sales provide opportunities for savvy investors. Urban growth and community development are key trends, with a focus on sustainable, planned cities and the integration of technology, such as real estate blockchain, into the industry. Developers secure building permits, review inspection reports, and manage escrow accounts during real estate transactions. Key services include contract negotiation, dispute resolution, and tailored investment strategies for portfolio management. Financial aspects cover tax implications, estate planning, retirement planning, taxdeferred exchanges, capital gains, tax deductions, and maintaining positive cash flow for sustained returns.

How is this Residential Real Estate Industry segmented?

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

Mode Of Booking

  Sales
  Rental or lease


Type

  Apartments and condominiums
  Landed houses and villas


Location

  Urban
  Suburban
  Rural


End-user

  Mid-range housing
  Affordable housing
  Luxury housing


Geography

  North America

    US
    Canada
    Mexico


  Europe

    France
    Germany
    UK


  APAC

    Australia
    Japan
    South Korea


  South America

    Brazil


  Rest of World (ROW)

By Mode Of Booking Insights

The sales segment is estimated to witness significant growth during the forecast period. The sales segment dominates the global residential real estate market and will continue to dominate during the forecast period. The sales segment includes the sale of any property that is majorly used for residential purposes, such as single-family homes, condos, cooperatives, duplexes, townhouses, and multifamily residences. With the growing population and urbanization, the demand for homes is also increasing, which is the major factor driving the growth of the sales segment. Moreover, real estate firms work with developers to sel

The total involved land refers to the total size of deals currently in operation for each dataset.

Japan Urban Land Price Index: Biggest 6 Cities: Average data was reported at 75.200 31Mar2000=100 in Sep 2017. This records an increase from the previous number of 74.100 31Mar2000=100 for Mar 2017. Japan Urban Land Price Index: Biggest 6 Cities: Average data is updated semiannually, averaging 69.950 31Mar2000=100 from Mar 1955 (Median) to Sep 2017, with 126 observations. The data reached an all-time high of 291.140 31Mar2000=100 in Sep 1990 and a record low of 1.660 31Mar2000=100 in Mar 1955. Japan Urban Land Price Index: Biggest 6 Cities: Average data remains active status in CEIC and is reported by Japan Real Estate Institute. The data is categorized under Global Database’s Japan – Table JP.EB016: Urban Land Price Index: 31Mar2000=100. Rebased from 31Mar2000=100 to 31Mar2010=100 Replacement series ID: 403770597

Land Supply: Year to Date: Residential: Commodity Bldg: Deluxe & Large Size: Jilin data was reported at 78.188 ha in Jun 2012. This records a decrease from the previous number of 383.590 ha for Dec 2011. Land Supply: Year to Date: Residential: Commodity Bldg: Deluxe & Large Size: Jilin data is updated quarterly, averaging 325.300 ha from Jun 2010 (Median) to Jun 2012, with 4 observations. The data reached an all-time high of 383.590 ha in Dec 2011 and a record low of 78.188 ha in Jun 2012. Land Supply: Year to Date: Residential: Commodity Bldg: Deluxe & Large Size: Jilin data remains active status in CEIC and is reported by Ministry of Natural Resources. The data is categorized under China Premium Database’s Real Estate Sector – Table CN.RKL: Land Supply: Residential: Commodity Building: Deluxe & Large Size: By Region.

Memberships of world countries to the G20 and Paris Club groups.