Population in the largest city (% of urban population) in North America was reported at 8.1557 % in 2022, according to the World Bank collection of development indicators, compiled from officially recognized sources. North America - Population in the largest city - actual values, historical data, forecasts and projections were sourced from the World Bank on June of 2025.

Travel times in Mexico City are 63 percent longer during heavy traffic times, making it the most traffic jam-prone large city in North America. While this figure refers to additional average travel time throughout the day, on average, weekday evening peak times make traveling by car even longer. In the United States, Los Angeles overtook New York as the most congested city in 2023. Effects of traffic Although working from home became the new normal amid the pandemic, workers in the U.S. can spend, on average, some 24 to 30 minutes commuting to work, depending on the region. This can be longer in large cities, adding a significant time to people’s working days without increasing their income. Increased traffic also leads to a higher number of fatal crashes, all else being equal. Pollution concerns Transportation is also one of the leading contributors to carbon dioxide emissions, and traffic jams contribute to this by extending the time that cars are running. Local air pollution is also a concern, particularly in Mexico where almost 50,000 people died from air pollution exposure in 2019.

The highest city in the world with a population of more than one million is La Paz. The Capital of Bolivia sits ***** meters above sea level, and is more than 1,000 meters higher than the second-ranked city, Quito. La Paz is also higher than Mt. Fuji in Japan, which has a height of 3,776 meters. Many of the world's largest cities are located in South America. The only city in North America that makes the top 20 list is Denver, Colorado, which has an altitude of ***** meters.

In 2025, approximately 23 million people lived in the São Paulo metropolitan area, making it the biggest in Latin America and the Caribbean and the sixth most populated in the world. The homonymous state of São Paulo was also the most populous federal entity in the country. The second place for the region was Mexico City with 22.75 million inhabitants. Brazil's cities Brazil is home to two large metropolises, only counting the population within the city limits, São Paulo had approximately 11.45 million inhabitants, and Rio de Janeiro around 6.21 million inhabitants. It also contains a number of smaller, but well known cities such as Brasília, Salvador, Belo Horizonte and many others, which report between 2 and 3 million inhabitants each. As a result, the country's population is primarily urban, with nearly 88 percent of inhabitants living in cities. Mexico City Mexico City's metropolitan area ranks sevenths in the ranking of most populated cities in the world. Founded over the Aztec city of Tenochtitlan in 1521 after the Spanish conquest as the capital of the Viceroyalty of New Spain, the city still stands as one of the most important in Latin America. Nevertheless, the preeminent economic, political, and cultural position of Mexico City has not prevented the metropolis from suffering the problems affecting the rest of the country, namely, inequality and violence. Only in 2023, the city registered a crime incidence of 52,723 reported cases for every 100,000 inhabitants and around 24 percent of the population lived under the poverty line.

The global urban design market, valued at $32.4 billion in 2025, is poised for significant growth driven by rapid urbanization, increasing infrastructure investments, and a growing focus on sustainable city planning. The market's expansion is fueled by a surge in demand for innovative design solutions in large and small cities alike, encompassing zoning regulations, transportation networks, and sustainable infrastructure development. Key trends include the integration of smart city technologies, a rising emphasis on green building practices and resilient infrastructure to combat climate change, and the adoption of data-driven urban planning methodologies for optimized resource allocation. While challenges remain, including regulatory hurdles and funding constraints in certain regions, the long-term outlook for the urban design market remains positive, projecting robust growth through 2033. The market segmentation reveals strong demand across various applications and city sizes, with significant opportunities in North America and Asia Pacific, driven by substantial infrastructure projects and government initiatives promoting urban development. Leading players like Gensler, SOM, and HOK are strategically positioning themselves to capture market share through collaborations, technological advancements, and expertise in sustainable urban design. The projected Compound Annual Growth Rate (CAGR) for the forecast period (2025-2033), while not explicitly provided, can be reasonably estimated based on global urbanization trends and infrastructure investment projections. A conservative estimate of a 6% CAGR is plausible, reflecting both the inherent growth potential and potential economic fluctuations. This translates to substantial market expansion over the forecast period, with opportunities for specialized design firms focused on specific urban challenges like traffic management, public spaces, and sustainable energy solutions. The competitive landscape is marked by both established global players and emerging firms, creating a dynamic market with opportunities for innovation and strategic partnerships. The diverse regional dynamics highlight the importance of localized expertise and adaptability to varying regulations and cultural contexts.

About this dataset

Context

This list ranks the 354 cities in the North Dakota by Black or African American population, as estimated by the United States Census Bureau. It also highlights population changes in each cities over the past five years.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 5-Year Estimates, including:

• 2019-2023 American Community Survey 5-Year Estimates
• 2018-2022 American Community Survey 5-Year Estimates
• 2017-2021 American Community Survey 5-Year Estimates
• 2016-2020 American Community Survey 5-Year Estimates
• 2015-2019 American Community Survey 5-Year Estimates

Variables / Data Columns

• Rank by Black Population: This column displays the rank of cities in the North Dakota by their Black or African American population, using the most recent ACS data available.
• cities: The cities for which the rank is shown in the previous column.
• Black Population: The Black population of the cities is shown in this column.
• % of Total cities Population: This shows what percentage of the total cities population identifies as Black. Please note that the sum of all percentages may not equal one due to rounding of values.
• % of Total North Dakota Black Population: This tells us how much of the entire North Dakota Black population lives in that cities. Please note that the sum of all percentages may not equal one due to rounding of values.
• 5 Year Rank Trend: TThis column displays the rank trend across the last 5 years.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

North America Smart City Platforms Market is expected to grow during 2025-2031

North America City Surveillance Market is expected to grow during 2025-2031

North America Smart City Platform Market is expected to grow during 2025-2031

North America city gas distribution Market is expected to grow during 2025-2031

About this dataset

Context

The dataset illustrates the median household income in North City, spanning the years from 2010 to 2023, with all figures adjusted to 2023 inflation-adjusted dollars. Based on the latest 2019-2023 5-Year Estimates from the American Community Survey, it displays how income varied over the last decade. The dataset can be utilized to gain insights into median household income trends and explore income variations.

Key observations:

From 2010 to 2023, the median household income for North City increased by $3,052 (6.44%), as per the American Community Survey estimates. In comparison, median household income for the United States increased by $5,602 (7.68%) between 2010 and 2023.

Analyzing the trend in median household income between the years 2010 and 2023, spanning 13 annual cycles, we observed that median household income, when adjusted for 2023 inflation using the Consumer Price Index retroactive series (R-CPI-U-RS), experienced growth year by year for 3 years and declined for 10 years.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. All incomes have been adjusting for inflation and are presented in 2022-inflation-adjusted dollars.

Years for which data is available:

• 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022, 0223

Variables / Data Columns

• Year: This column presents the data year from 2010 to 2023
• Median Household Income: Median household income, in 2023 inflation-adjusted dollars for the specific year
• YOY Change($): Change in median household income between the current and the previous year, in 2023 inflation-adjusted dollars
• YOY Change(%): Percent change in median household income between current and the previous year

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for North City median household income. You can refer the same here

Cost of living can vary wildly depending on the city that people live in. Some are hugely expensive while others are comparatively cheaper. This variety can also be seen in the average overnight price of hotels. In September 2023, New York held the highest hotel rate in North America when compared to other selected cities. The average overnight price for a hotel room in New York was 504 U.S. dollars.

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Urban Planning Software Market Size 2024-2028

The Urban Planning Software Market size is estimated to grow by USD 4.05 billion at a CAGR of 7.81% between 2023 and 2028. Infrastructure development is a priority area for many governments and organizations worldwide, driven by increasing investments and a growing focus on building smart cities. This trend is fueled by several factors, including the expanding middle-class population and the need for efficient, modern infrastructure to support economic growth and improve quality of life. Infrastructure projects encompass various sectors, such as transportation, energy, water supply, and telecommunications, and require significant capital investment and advanced technology. As a result, the infrastructure industry is poised for continued growth and innovation, offering opportunities for businesses and investors alike.

What will be the size of the Market During the Forecast Period?

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Market Dynamics

The market is witnessing significant growth due to the increasing number of non-residential construction projects and infrastructure development activities in response to the growing urban population. City planners are leveraging technology to efficiently manage and design urban spaces. The market is segmented into components, which include software and services, and segments, such as the cloud-based segment and web-based segment. Government bodies are also investing in urban planning software to optimize budgets and implement smart city technologies. Emerging countries are leveraging technology advancements and cloud software to enhance construction processes and infrastructure development, with a focus on designing residential buildings, roads, bridges, and rail systems, supported by skilled professionals and real estate companies, while government agencies and service companies implement training programs and resource management solutions to optimize engineering and architectural plans. The latest trends include the integration of 5G technology and data centers to enhance the functionality and efficiency of these tools. Open-source software is gaining popularity due to its cost-effectiveness and flexibility. The United Nations (UN) has emphasized the importance of urban planning to address the challenges of urbanization and sustainability. Urban planning software plays a crucial role in this regard, enabling city planners to create harmonious and livable urban spaces. The market is expected to continue its growth trajectory in the coming years, driven by the increasing demand for efficient and technologically advanced urban planning solutions.

Key Market Driver

One of the key factors driving the market growth is the growing middle-class population. The increasing middle-class population in developing countries in APAC, South America, and MEA is expected to significantly contribute to the market growth. In addition, there is an increase in per capita income due to the rapidly increasing economic activities in developing economies such as China, India, Argentina, Indonesia, and South Africa.

Moreover, the rise in the gross domestic product (GDP) per capita in these countries is also fuelling the rise in the disposable income of the population. In addition, a majority of the population is opting for long-term investment opportunities due to factors such as rapid industrial, manufacturing, and economic developments in these countries, fuelled by urbanization. As a result, there is an increasing adoption of software for different real-estate projects. Hence, such factors are positively impacting the market which, in turn, will drive the growth during the forecast period.

Significant Market Trend

A key factor shaping the market growth is the use of blockchain technology in software. There is a rapid advancement in technologies that can resolve the challenges associated with the openness of data and procedures in the market. The advent of blockchain technology enables transparency at all levels of activity in urban planning making it effective.

Moreover, the main advantage of using blockchain in urban planning is that there is a reduction in fraud and transaction duplication as every record is encrypted. Furthermore, the implementation of blockchain offers smooth and quick transactions by doing away with the necessity for a middleman. Hence, such factors are positively impacting the market trends which in turn will drive the market growth during the forecast period.

Major Market Challenge

The threat of open-source urban planning software is one of the key challenges hindering growth. There is a growing popularity for open-source software which poses a significant threat to the market. There is an increasing preference for open-source software as it is widely available on the Internet and can be downloaded easily.

Moreover, open-source software

North America Safe City Market is expected to grow during 2025-2031

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Smart City Platform Market Size 2024-2028

The smart city platform market size is forecast to increase by USD 59.1 billion at a CAGR of 23.1% between 2023 and 2028.

The market is experiencing significant growth due to the increasing demand for building automation and government initiatives aimed at developing smart cities. The need for efficient and connected urban infrastructure is driving market expansion. Security systems, powered by artificial intelligence (AI) and machine learning, are crucial for ensuring public safety and managing traffic flow. However, the market faces challenges in the form of high switching and installation costs, which may hinder the adoption of smart city platforms. These costs can be attributed to the complex nature of integrating various technologies and systems, as well as the need for specialized expertise.
Despite this obstacle, companies can capitalize on the market's potential by focusing on cost-effective solutions and collaborating with industry partners to streamline implementation processes. By addressing these challenges, market players can effectively navigate the competitive landscape and capitalize on the opportunities presented by the growing demand for smart city technologies.

What will be the Size of the Smart City Platform Market during the forecast period?

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The market continues to evolve, driven by the integration of advanced technologies such as autonomous vehicles, smart city consortia, smart energy solutions, city planning, smart homes, Smart Lighting, real-time data, smart education, public transportation, predictive analytics, government services, open source, and artificial intelligence. renewable energy sources, traffic management, smart parking, smart metering, and smart waste management are also key components of this dynamic market. Smart city initiatives encompass city operations, smart infrastructure, smart mobility, citizen services, smart water, smart grid, electric vehicles, data analytics, smart buildings, edge computing, citizen engagement, data visualization, urban renewal, environmental monitoring, cloud computing, and smart retail.
These technologies are transforming urban areas, improving energy efficiency, enhancing public safety, and promoting digital transformation. Open data, public-private partnerships, big data, green technology, urban planning, and urban development are essential elements of the smart city landscape. machine learning and predictive analytics enable traffic management, energy consumption optimization, and predictive maintenance of city infrastructure. Smart city awards recognize outstanding achievements in this field, fostering innovation and competition. Data privacy and security are critical concerns in the smart city context, ensuring the protection of citizens' personal information. Smart city indexes provide valuable insights into the progress and performance of various cities in implementing smart city initiatives.
The ongoing unfolding of market activities and evolving patterns underscore the continuous dynamism of the market.

How is this Smart City Platform Industry segmented?

The smart city platform industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD billion' for the period 2024-2028, as well as historical data from 2018-2022 for the following segments.

Application

  Smart infrastructure
  Smart building
  Smart utilities
  Others


Offering

  Connectivity management platforms
  Integration platforms
  Device management platforms
  Data management platforms
  Security platforms


Services

  Professional services
  Managed services


Component

  Software Platforms
  Hardware Solutions
  Services


End-User

  Government
  Commercial Enterprises
  Residential Communities


Geography

  North America

    US
    Canada


  South America

    Brazil
    Argentina


  Middle East and Africa

    UAE


  Europe

    Germany
    Spain
    UK


  APAC

    Japan
    Australia
    India


  Rest of World (ROW)

By Application Insights

The smart infrastructure segment is estimated to witness significant growth during the forecast period.

Smart infrastructures, encompassing energy, public transport, and public safety sectors, represent a harmonious blend of physical and digital systems. These infrastructures collect data through sensors, analyze it using artificial intelligence and machine learning, and provide real-time feedback for adaptability. The adoption of smart infrastructures is driven by the increasing industrial development, commercialization, and growing awareness of energy efficiency and building optimization. Smart cities, fueled by open data and public-private partnerships, are integrating these systems to create a more efficient and sustainable urban environment. Smart energy solutions, such as r

Sustainable cities depend on urban forests. City trees -- a pillar of urban forests -- improve our health, clean the air, store CO2, and cool local temperatures. Comparatively less is known about urban forests as ecosystems, particularly their spatial composition, nativity statuses, biodiversity, and tree health. Here, we assembled and standardized a new dataset of N=5,660,237 trees from 63 of the largest US cities. The data comes from tree inventories conducted at the level of cities and/or neighborhoods. Each data sheet includes detailed information on tree location, species, nativity status (whether a tree species is naturally occurring or introduced), health, size, whether it is in a park or urban area, and more (comprising 28 standardized columns per datasheet). This dataset could be analyzed in combination with citizen-science datasets on bird, insect, or plant biodiversity; social and demographic data; or data on the physical environment. Urban forests offer a rare opportunity to intentionally design biodiverse, heterogenous, rich ecosystems. Methods See eLife manuscript for full details. Below, we provide a summary of how the dataset was collected and processed.

Data Acquisition We limited our search to the 150 largest cities in the USA (by census population). To acquire raw data on street tree communities, we used a search protocol on both Google and Google Datasets Search (https://datasetsearch.research.google.com/). We first searched the city name plus each of the following: street trees, city trees, tree inventory, urban forest, and urban canopy (all combinations totaled 20 searches per city, 10 each in Google and Google Datasets Search). We then read the first page of google results and the top 20 results from Google Datasets Search. If the same named city in the wrong state appeared in the results, we redid the 20 searches adding the state name. If no data were found, we contacted a relevant state official via email or phone with an inquiry about their street tree inventory. Datasheets were received and transformed to .csv format (if they were not already in that format). We received data on street trees from 64 cities. One city, El Paso, had data only in summary format and was therefore excluded from analyses.

Data Cleaning All code used is in the zipped folder Data S5 in the eLife publication. Before cleaning the data, we ensured that all reported trees for each city were located within the greater metropolitan area of the city (for certain inventories, many suburbs were reported - some within the greater metropolitan area, others not). First, we renamed all columns in the received .csv sheets, referring to the metadata and according to our standardized definitions (Table S4). To harmonize tree health and condition data across different cities, we inspected metadata from the tree inventories and converted all numeric scores to a descriptive scale including “excellent,” “good”, “fair”, “poor”, “dead”, and “dead/dying”. Some cities included only three points on this scale (e.g., “good”, “poor”, “dead/dying”) while others included five (e.g., “excellent,” “good”, “fair”, “poor”, “dead”). Second, we used pandas in Python (W. McKinney & Others, 2011) to correct typos, non-ASCII characters, variable spellings, date format, units used (we converted all units to metric), address issues, and common name format. In some cases, units were not specified for tree diameter at breast height (DBH) and tree height; we determined the units based on typical sizes for trees of a particular species. Wherever diameter was reported, we assumed it was DBH. We standardized health and condition data across cities, preserving the highest granularity available for each city. For our analysis, we converted this variable to a binary (see section Condition and Health). We created a column called “location_type” to label whether a given tree was growing in the built environment or in green space. All of the changes we made, and decision points, are preserved in Data S9. Third, we checked the scientific names reported using gnr_resolve in the R library taxize (Chamberlain & Szöcs, 2013), with the option Best_match_only set to TRUE (Data S9). Through an iterative process, we manually checked the results and corrected typos in the scientific names until all names were either a perfect match (n=1771 species) or partial match with threshold greater than 0.75 (n=453 species). BGS manually reviewed all partial matches to ensure that they were the correct species name, and then we programmatically corrected these partial matches (for example, Magnolia grandifolia-- which is not a species name of a known tree-- was corrected to Magnolia grandiflora, and Pheonix canariensus was corrected to its proper spelling of Phoenix canariensis). Because many of these tree inventories were crowd-sourced or generated in part through citizen science, such typos and misspellings are to be expected. Some tree inventories reported species by common names only. Therefore, our fourth step in data cleaning was to convert common names to scientific names. We generated a lookup table by summarizing all pairings of common and scientific names in the inventories for which both were reported. We manually reviewed the common to scientific name pairings, confirming that all were correct. Then we programmatically assigned scientific names to all common names (Data S9). Fifth, we assigned native status to each tree through reference to the Biota of North America Project (Kartesz, 2018), which has collected data on all native and non-native species occurrences throughout the US states. Specifically, we determined whether each tree species in a given city was native to that state, not native to that state, or that we did not have enough information to determine nativity (for cases where only the genus was known). Sixth, some cities reported only the street address but not latitude and longitude. For these cities, we used the OpenCageGeocoder (https://opencagedata.com/) to convert addresses to latitude and longitude coordinates (Data S9). OpenCageGeocoder leverages open data and is used by many academic institutions (see https://opencagedata.com/solutions/academia). Seventh, we trimmed each city dataset to include only the standardized columns we identified in Table S4. After each stage of data cleaning, we performed manual spot checking to identify any issues.

Smart City & Connected City Solutions Market Outlook

The global market size for Smart City & Connected City Solutions is poised to grow from $520 billion in 2023 to an impressive $1.2 trillion by 2032, exhibiting a robust CAGR of 9.5% over the forecast period. This substantial growth is driven by advancements in IoT technology, increased urbanization, and the rising demand for energy-efficient systems and infrastructure.

One of the primary growth factors for this market is the rapid urbanization across the globe. More than half of the world’s population now resides in urban areas, and this figure is expected to rise exponentially over the coming decades. As cities grow, the strain on infrastructure, energy resources, and governance systems increases, creating a necessity for smarter and more efficient solutions. The integration of IoT and AI technologies into urban planning and management is enabling cities to meet these demands by optimizing resource use, reducing waste, and improving the quality of life for residents.

Another significant driver is the rising governmental and private sector investment in smart city initiatives. Governments worldwide are recognizing the benefits of smart city solutions in terms of energy conservation, better traffic management, enhanced security, and improved public services. For example, the European Union has committed substantial funding for smart city projects under its Horizon 2020 initiative, focusing on sustainability and technological innovation. Similarly, various countries in Asia-Pacific, North America, and the Middle East are launching extensive smart city programs, backed by both public and private investments.

The proliferation of advanced technologies such as 5G, blockchain, and AI is also playing a crucial role in the market's growth. 5G technology, in particular, is set to revolutionize smart city infrastructure by providing faster, more reliable connectivity. This will enable the high-speed data transfer required for real-time applications in smart governance, smart healthcare, and smart mobility. Additionally, blockchain technology offers enhanced security and transparency for various smart city applications, including energy grids, public services, and transportation systems.

The regional outlook for the Smart City & Connected City Solutions market is highly promising, with Asia-Pacific and North America leading the charge. Asia-Pacific is expected to witness the highest growth rate due to the rapid urbanization in countries like China and India and substantial government initiatives focused on building smart cities. North America, with its advanced technological infrastructure and significant investments in smart city projects, is also poised for considerable growth.

Component Analysis

The Smart City & Connected City Solutions market can be segmented by components into hardware, software, and services. Each of these components plays a critical role in the development and implementation of smart city solutions. The hardware segment includes sensors, cameras, smart meters, and other connected devices that form the backbone of smart city infrastructure. These devices collect vast amounts of data, which is crucial for monitoring and managing various urban functions. The increasing adoption of IoT devices is driving the growth of this segment, as cities aim to become more efficient and responsive.

Software solutions are essential for analyzing the data collected by hardware components and transforming it into actionable insights. This segment covers a wide range of applications, including data analytics platforms, urban planning software, and smart governance solutions. The demand for such software is growing as cities seek to harness the power of big data and AI to improve decision-making processes. Cloud-based software solutions have become particularly popular due to their scalability, flexibility, and cost-effectiveness, contributing to the overall growth of the software segment.

Services are another vital component of the Smart City & Connected City Solutions market. These services include consulting, system integration, and maintenance services, which are crucial for the successful implementation and ongoing operation of smart city projects. The complexity of integrating various hardware and software components into a cohesive system necessitates specialized expertise. As a result, there is a growing market for service providers who can offer end-to-end solutions, from initial planning and design to implementation and continuous support.<

How many incorporated places are registered in the U.S.?

There were 19,502 incorporated places registered in the United States as of July 31, 2019. 16,410 had a population under 10,000 while, in contrast, only 10 cities had a population of one million or more.

Small-town America

Suffice it to say, almost nothing is more idealized in the American imagination than small-town America. When asked where they would prefer to live, 30 percent of Americans reported that they would prefer to live in a small town. Americans tend to prefer small-town living due to a perceived slower pace of life, close-knit communities, and a more affordable cost of living when compared to large cities.

An increasing population

Despite a preference for small-town life, metropolitan areas in the U.S. still see high population figures, with the New York, Los Angeles, and Chicago metro areas being the most populous in the country. Metro and state populations are projected to increase by 2040, so while some may move to small towns to escape city living, those small towns may become more crowded in the upcoming decades.

The global market for Climate Resilient City is projected to grow from XXX million in 2025 to XXX million by 2033, at a CAGR of XX%. The key drivers of this growth include the increasing frequency and severity of extreme weather events, the rising population of urban areas, and the growing awareness of the importance of climate resilience. However, the market is also constrained by the high cost of implementing climate-resilient measures and the lack of awareness about the benefits of these measures. North America is the largest regional market for climate resilient cities, followed by Europe and Asia-Pacific. The United States is the largest market in North America, due to its large population and its exposure to a variety of extreme weather events. China is the largest market in Asia-Pacific, due to its rapid urbanization and its growing awareness of the importance of climate resilience.