This statistic represents the percent increase of the 15 fastest-growing large cities in the U.S. between July 1, 2020 and July 1, 2021. Georgetown city in Texas is at the top of the fastest-growing large cities, with a growth rate of 10.5 percent over this period.

The fastest growing city in Africa is Bujumbura, in Burundi. In 2020, this city had an estimated population of about one million. By 2035, the population of Bujumbura could increase by 123 percent and reach roughly 2.3 million people. Zinder, in Niger, had about half million inhabitants in 2020 and, with a growth rate of 118 percent, is Africa's second fastest growing city. In 2035, Zinder could have over one million residents.

As of 2021, the largest city in whole Africa is Lagos, in Nigeria. Other highly populated cities in Africa are Kinshasa, in Congo, Cairo, and Alexandria, both located in Egypt.

This graph shows the 15 fastest growing cities in the United States, by percentage increase in population, from the period April 1, 2010 to July 1, 2011. Over this time New Orleans was the fastest growing city at a rate of 4.9 percent.

According to population estimates recently released by the California Department of Housing and Community Development, the San Francisco Bay Region is the fastest growing region in the state.San Jose, followed by San Francisco and Oakland have the highest populations in the region, and three bay area cities made the top 10 ranking. In addition, our region also has 4 counties; Santa Clara (1), Alameda (2), San Francisco (5) and San Mateo (9), in the top 10 fastest growing counties. Dublin (3), Campbell (7) and Rio Vista (8) each had a significant percentage change in their population growth. The state data reports population and housing trends for 482 California cities. Last year, all but 43 cities saw an increase in residents, with the declines typically experienced in the state's rural areas.

Contains data from the World Bank's data portal. There is also a consolidated country dataset on HDX.

Cities can be tremendously efficient. It is easier to provide water and sanitation to people living closer together, while access to health, education, and other social and cultural services is also much more readily available. However, as cities grow, the cost of meeting basic needs increases, as does the strain on the environment and natural resources. Data on urbanization, traffic and congestion, and air pollution are from the United Nations Population Division, World Health Organization, International Road Federation, World Resources Institute, and other sources.

This collection contains two datasets: one, data used in TI-City model to predict future urban expansion in Accra, Ghana; and two, residential electricity consumption data used to map intra-urban living standards in Karachi, Pakistan. The TI-City model data are ASCII files of infrastructure and amenities that affect location decisions of households and developers. The residential electricity consumption data consist of average kilowatt hours (kw/h) of electricity consumed per month by ~ 2 million households in Karachi. The electricity consumption data is aggregated into 30m grid cells (count = 193050), with centroids and consumption values provided. The values of the points (centroids), captured under the field "Avg_Avg_Cs", represents the median of average monthly consumption of households within the 30m grid cells.

Our project addresses a critical gap in social research methodology that has important implications for combating urban poverty and promoting sustainable development in low and middle-income countries. Simply put, we're creating a low-cost tool for gathering critical information about urban population dynamics in cities experiencing rapid spatial-demographic and socioeconomic change. Such information is vital to the success of urban planning and development initiatives, as well as disaster relief efforts. By improving the information base of the actors involved in such activities we aim to improve the lives of urban dwellers across the developing world, particularly the poorest and most vulnerable. The key output for the project will be a freely available 'City Sampling Toolkit' that provides detailed instructions and opensource software tools for replicating the approach at various spatial scales.

Our research is motivated by the growing recognition that cities are critical arenas for action in global efforts to tackle poverty and transition towards more environmentally sustainable economic growth. Between now and 2050 the global urban population is projected to grow by over 2 billion, with the overwhelming majority of this growth taking place in low and middle-income countries in Africa and Asia. Developing evidence-based policies for managing this growth is an urgent task. As UN Secretary General Ban Ki Moon has observed: "Cities are increasingly the home of humanity. They are central to climate action, global prosperity, peace and human rights...To transform our world, we must transform its cities."

Unfortunately, even basic data about urban populations are lacking in many of the fastest growing cities of the world. Existing methods for gathering vital information, including censuses and sample surveys, have critical limitations in urban areas experiencing rapid change. And 'big data' approaches are not an adequate substitute for representative population data when it comes to urban planning and policymaking. We will overcome these limitations through a combination of conceptual innovation and creative integration of novel tools and techniques that have been developed for sampling, surveying and estimating the characteristics of populations that are difficult to enumerate. This, in turn, will help us capture the large (and sometimes uniquely vulnerable) 'hidden populations' in cities missed by traditional approaches.

By using freely available satellite imagery, we can get an idea of the current shape of a rapidly changing city and create a 'sampling frame' from which we then identify respondents for our survey. Importantly, and in contrast with previous approaches, we aren't simply going to count official city residents. We are interested in understanding the characteristics of the actually present population, including recent migrants, temporary residents, and those living in informal or illegal settlements, who are often not considered formal residents in official enumeration exercises. In other words, our 'inclusion criterion' for the survey exercise is presence not residence. By adopting this approach, we hope to capture a more accurate picture of city populations. We will also limit the length of our survey questionnaire to maximise responses and then use novel statistical techniques to reconstruct a rich statistical portrait that reflects a wide range of demographic and socioeconomic information.

We will pilot our methodology in a city in Pakistan, which recently completed a national census exercise that has generated some controversy with regard to the accuracy of urban population counts. To our knowledge this would be the first project ever to pilot and validate a new sampling and survey methodology at the city scale in a developing country.

Not many studies have documented climate and air quality changes of settlements at early stages of development. This is because high quality climate and air quality records are deficient for the periods of the early 18th century to mid 20th century when many U.S. cities were formed and grew. Dramatic landscape change induces substantial local climate change during the incipient stage of development. Rapid growth along the urban fringe in Phoenix, coupled with a fine-grained climate monitoring system, provide a unique opportunity to study the climate impacts of urban development as it unfolds. Generally, heat islands form, particularly at night, in proportion to city population size and morphological characteristics. Drier air is produced by replacement of the countryside's moist landscapes with dry, hot urbanized surfaces. Wind is increased due to turbulence induced by the built-up urban fabric and its morphology; although, depending on spatial densities of buildings on the land, wind may also decrease. Air quality conditions are worsened due to increased city emissions and surface disturbances. Depending on the diversity of microclimates in pre-existing rural landscapes and the land-use mosaic in cities, the introduction of settlements over time and space can increase or decrease the variety of microclimates within and near urban regions. These differences in microclimatic conditions can influence variations in health, ecological, architectural, economic, energy and water resources, and quality-of-life conditions in the city. Therefore, studying microclimatic conditions which change in the urban fringe over time and space is at the core of urban ecological goals as part of LTER aims. In analyzing Phoenix and Baltimore long-term rural/urban weather and climate stations, Brazel et al. (In progress) have discovered that long-term (i.e., 100 years) temperature changes do not correlate with populations changes in a linear manner, but rather in a third-order nonlinear response fashion. This nonlinear temporal change is consistent with the theories in boundary layer climatology that describe and explain the leading edge transition and energy balance theory. This pattern of urban vs. rural temperature response has been demonstrated in relation to spatial range of city sizes (using population data) for 305 rural vs. urban climate stations in the U.S. Our recent work on the two urban LTER sites has shown that a similar climate response pattern also occurs over time for climate stations that were initially located in rural locations have been overrun bu the urban fringe and subsequent urbanization (e.g., stations in Baltimore, Mesa, Phoenix, and Tempe). Lack of substantial numbers of weather and climate stations in cities has previously precluded small-scale analyses of geographic variations of urban climate, and the links to land-use change processes. With the advent of automated weather and climate station networks, remote-sensing technology, land-use history, and the focus on urban ecology, researchers can now analyze local climate responses as a function of the details of land-use change. Therefore, the basic research question of this study is: How does urban climate change over time and space at the place of maximum disturbance on the urban fringe? Hypotheses 1. Based on the leading edge theory of boundary layer climate change, largest changes should occur during the period of peak development of the land when land is being rapidly transformed from open desert and agriculture to residential, commercial, and industrial uses. 2. One would expect to observe, on average and on a temporal basis (several years), nonlinear temperature and humidity alterations across the station network at varying levels of urban development. 3. Based on past research on urban climate, one would expect to see in areas of the urban fringe, rapid changes in temperature (increases at night particularly), humidity (decreases in areas from agriculture to urban; increases from desert to urban), and wind speed (increases due to urban heating). 4. Changes of the surface climate on the urban fringe are expected to be altered as a function of various energy, moisture, and momentum control parameters, such as albedo, surface moisture, aerodynamic surface roughness, and thermal admittance. These parameters relate directly to population and land-use change (Lougeay et al. 1996).

Contains data from the World Bank's data portal. There is also a consolidated country dataset on HDX.

Cities can be tremendously efficient. It is easier to provide water and sanitation to people living closer together, while access to health, education, and other social and cultural services is also much more readily available. However, as cities grow, the cost of meeting basic needs increases, as does the strain on the environment and natural resources. Data on urbanization, traffic and congestion, and air pollution are from the United Nations Population Division, World Health Organization, International Road Federation, World Resources Institute, and other sources.

This statistics shows the top 20 fastest growing large-metropolitan areas in the United States between July 1st, 2022 and July 1st, 2023. The total population in the Wilmington, North Carolina, metropolitan area increased by 0.05 percent from 2022 to 2023.

Make cities and human settlements inclusive, safe, resilient and sustainable : The 2017 World Risk Report identified the Pacific as the region of highest risk, measured over a five-year timeframe; In the last three years, the Pacific has faced a number of disaster events causing significant economic impacts, injury and loss of life. Post-disaster needs assessments indicated significant damages and losses, equivalent to 30% of national GDP in Fiji (2016), and 64% in Vanuatu (2015) for example.

Find more Pacific data on PDH.stat.

Contains data from the World Bank's data portal. There is also a consolidated country dataset on HDX.

Cities can be tremendously efficient. It is easier to provide water and sanitation to people living closer together, while access to health, education, and other social and cultural services is also much more readily available. However, as cities grow, the cost of meeting basic needs increases, as does the strain on the environment and natural resources. Data on urbanization, traffic and congestion, and air pollution are from the United Nations Population Division, World Health Organization, International Road Federation, World Resources Institute, and other sources.

This study was designed to collect comprehensive data on the types of "crime prevention through environmental design" (CPTED) methods used by cities of 30,000 population and larger, the extent to which these methods were used, and their perceived effectiveness. A related goal was to discern trends, variations, and expansion of CPTED principles traditionally employed in crime prevention and deterrence. "Security by design" stems from the theory that proper design and effective use of the built environment can lead to a reduction in the incidence and fear of crime and an improvement in quality of life. Examples are improving street lighting in high-crime locations, traffic re-routing and control to hamper drug trafficking and other crimes, inclusion of security provisions in city building codes, and comprehensive review of planned development to ensure careful consideration of security. To gather these data, the United States Conference of Mayors (USCM), which had previously studied a variety of issues including the fear of crime, mailed a survey to the mayors of 1,060 cities in 1994. Follow-up surveys were sent in 1995 and 1996. The surveys gathered information about the role of CPTED in a variety of local government policies and procedures, local ordinances, and regulations relating to building, local development, and zoning. Information was also collected on processes that offered opportunities for integrating CPTED principles into local development or redevelopment and the incorporation of CPTED into decisions about the location, design, and management of public facilities. Questions focused on whether the city used CPTED principles, which CPTED techniques were used (architectural features, landscaping and landscape materials, land-use planning, physical security devices, traffic circulation systems, or other), the city department with primary responsibility for ensuring compliance with CPTED zoning ordinances/building codes and other departments that actively participated in that enforcement (mayor's office, fire department, public works department, planning department, city manager, economic development office, police department, building department, parks and recreation, zoning department, city attorney, community development office, or other), the review process for proposed development, security measures for public facilities, traffic diversion and control, and urban beautification programs. Respondents were also asked about other security-by-design features being used, including whether they were mandatory or optional, if optional, how they were instituted (legislation, regulation, state building code, or other), and if applicable, how they were legislated (city ordinance, city resolution, or state law). Information was also collected on the perceived effectiveness of each technique, if local development regulations existed regarding convenience stores, if joint code enforcement was in place, if banks, neighborhood groups, private security agencies, or other groups were involved in the traffic diversion and control program, and the responding city's population, per capita income, and form of government.

Ubanization has placed burgeoning pressures on the physical, environmental, social, cultural, legal and institutional systems and financial resources of the Government. Corresponding with this, the capital city of Apia has experienced extreme and extensive impacts from climate change and natural disaster events. Thus this strategy is to guide the development of Apia as an urban area.

The Urban Growth Area is used to manage future growth around densely populated areas. The urban growth area is the city/town and adjacent unincorporated growth area identified by the cities/towns/county to receive urban growth in the future. Outside of the boundary only rural growth is permissible.

Correction to this data can only be made through a Comprehensive Plan change or at the direction of Thurston County Long Range Planning due to a scrivener's error. The 1990 Washington State Growth Management Act requires the state's fastest growing cities and counties to designate UGAs around each city and town to accommodate the expected population growth over the next 20 years. In Thurston County, UGAs surround Bucoda, Lacey, Olympia, Rainier, Tumwater, Tenino, and Yelm. The current boundaries of the UGAs were established in 1990 and updated via the 2015 adoption of the Thurston County Comprehensive Plan: CHAPTER II - LAND USE II.URBAN GROWTH AREAS History and Purpose of Thurston County's Urban Growth Areas: In 1983, Thurston County, along with the cities of Olympia, Lacey and Tumwater, blazed the trail for growth management in Washington State by signing an interlocal government agreement called the "Urban Growth Management Agreement." That early agreement included an Urban Growth Management Boundary around the three cities to serve as a limit for the cities' expansion for 20 years. The purposes of the county's original growth areas remain relevant today: To provide for higher intensity development around the county's incorporated cities and towns and unincorporated community centers in order to concentrate development in areas where minimal impact to the environment, natural resources and rural atmosphere will occur. To minimize public costs and conserve energy by using services and facilities efficiently through concentration of development and integration of jobs, shopping, services and housing. To phase urban growth and infill with the provision of urban public services and facilities. One of the main effects of an urban growth area is to provide a limit for the extension of urban utilities, especially sewer service. To that end, overall residential density in urban growth areas should be high enough to support urban public services and to provide affordable housing choices. There should be a variety of housing types, with most densities ranging from 4 to 16 dwelling units per acre. Map M-14 identifies the urban growth areas for each city or town in Thurston County. The UGAs must accommodate the urban growth projected over the next 20 years including a reasonable market factor. Policies and actions emphasize the provision of urban land uses and services and include provisions specifically aimed at reducing low density residential sprawl. Joint plans established with each city and town include planning policies for each UGA. Joint plans are contained in separate documents, but are incorporated as part of the Thurston County Comprehensive Plan. Detailed land use designations for all UGAs around cities and towns are provided in the following joint plans (Map M-14 is keyed to the numbering below):Olympia/Thurston County Joint PlanLacey/Thurston County Joint Plan Tumwater/Thurston County Joint PlanYelm/Thurston County Joint PlanRainier/Thurston County Joint PlanTenino/Thurston County Joint PlanBucoda/Thurston County Joint PlanList of Map Correction's (Correction can only be made through a Comprehensive Plan change or at the direction of Thurston County Long Range Planning due to a scrivener's error.)Made on 5 AUG 2014 by KLW. Made on 15 July 2016 by KAH. - Correction of scrivener's error in Tenino UGA Boundary at the Teitge Annexations. This error was due to parcel and city mapping issues. The UGA has been fixed to be consistent with the parcel legal descriptions and the legal description included in the annexation ordinance approved by the City of Tenino, and the annexation approved by the Boundary Review Board.

Triggering economic growth is a requirement to promote human welfare and realize sustainable development in many developing countries. However, place-based policies’ impact on economic growth is debatable, and its underlying mechanism is unknown. China’s Old Revolutionary Development Program (ORDP) is a large-scale and novel type of place-based policy targeted at undeveloped regions in China. We evaluate the effect of ORDP on economic growth by employing a time-varying difference-in-differences model and further explore the potential mechanisms and heterogeneity effects. VIIRS/DNB nightlight data is used to measure economic growth. We find that ORDP can significantly promote economic growth by 4.0% and the result is still robust after several tests. Mechanism analysis shows that ORDP can improve economic growth through government intervention, industrial structure optimization, and information infrastructure construction. Heterogeneity analysis indicates that the ORDP performs better on economic growth in central Chinese cities and high-economy cities. At the same time, our paper provides three practical suggestions for stimulating economic growth in ORDP, which can be enlightening for other developing countries.

Note, 8/11/2020: Please see http://dev.cityofchicago.org/open%20data/data%20portal/2020/08/11/city-owned-property.html for information about changes to this dataset. -- Property currently or historically owned and managed by the City of Chicago. Information provided in the database, or on the City’s website generally, should not be used as a substitute for title research, title evidence, title insurance, real estate tax exemption or payment status, environmental or geotechnical due diligence, or as a substitute for legal, accounting, real estate, business, tax or other professional advice. The City assumes no liability for any damages or loss of any kind that might arise from the reliance upon, use of, misuse of, or the inability to use the database or the City’s web site and the materials contained on the website. The City also assumes no liability for improper or incorrect use of materials or information contained on its website. All materials that appear in the database or on the City’s web site are distributed and transmitted "as is," without warranties of any kind, either express or implied as to the accuracy, reliability or completeness of any information, and subject to the terms and conditions stated in this disclaimer.

Web mapping application depicting Map 2.A of the City of Sioux Falls Growth Management Plan, titled "Development Areas".

Nationwide rapid urbanization has been a key driver of economic growth, energy consumption, and carbon emission in China. To avoid the high energy consumption and pollution present in other industrialized countries, China is making the economic and social transition from a high-carbon model to a low-carbon model. The low-carbon city pilots (LCCPs) programme was launched by the National Development and Reform Commission (NDRC) to resolve the dilemma between economic development and transitioning to a low-carbon model. The status quos of these pilots in different regions have set CO2 intensity per unit of gross domestic product (GDP), CO2 emissions per capita, CO2 reduction targets, and CO2 discharge peak times. Traditional policies, including those aimed at improving energy efficiency, applying renewable energy, adjusting sector structure, and increasing carbon sequestration capacity, are being widely applied in the form of command-mandatory tools, market-economic tools, and voluntary tools. By summarizing these policies, low-carbon development plans, LCCP governments reports, and a case study focusing on Zhenjiang (practical experiences based on city features), this article proposes implications for how to achieve the LCCPs’ low-carbon goals.

Policy relevance

China has launched a low-carbon city pilots (LCCPs) programme to promote its future low-carbon urbanization, but the cities concerned have not yet managed to achieve true ‘low-carbon' status in terms of CO2 per unit of GDP and CO2 per capita. To improve the performance of LCCPs, central government should provide guidance on institutional framework and policies, while local governments should establish carbon management systems. Both central and local governments should establish a policy assessment system and use integrated policy tools as part of their low-carbon development plans.

Milan, Bologna, Genoa, Florence, and Turin recorded a population increase between 2022 and 2023. In fact, all the other largest municipalities registered a decrease, most prominently in the south and on the islands. However, Naples is the third-largest Italian municipality, after Rome and Milan.

Cambridge was the fastest growing city in the United Kingdom between 2012 and 2022, with its population increasing by 17.9 percent. Peterborough, Milton Keynes and Exeter also grew quite fast, with their populations increasing by 15.4 percent, 15 percent, and 14.4 percent, respectively. Largest UK urban areas When looking at cities defined by their urban agglomerations, as of 2023, London had approximately 9.65 million people living there, far larger than any other city in the United Kingdom. The urban agglomeration around the city of Birmingham had a population of approximately 2.67 million, while the urban areas around Manchester and Leeds had populations of 2.79 and 1.92 million respectively. London not only dominated other UK cities in terms of its population, but in its importance to the UK economy. In 2022, the gross domestic product of Greater London was approximately 508.3 billion British pounds, compared with 90.8 billion for Greater Manchester, and 77 billion in the West Midlands Metropolitan Area centered around Birmingham. UK population growth In 2022, the overall population of the United Kingdom was estimated to have reached approximately 67.6 million, compared with around 58.9 million in 2000. Since 1970, the year with the highest population growth rate was 2016 when the population grew by around 0.86 percent, and was at its lowest in 1982 when it shrank by 0.12 percent. Although the UK's birth rate has declined considerably in recent years, immigration to the UK has been high enough to drive population growth in the UK, which has had a positive net migration rate since 1994.