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.

This statistic shows the 20 countries with the highest population growth rate in 2024. In SouthSudan, the population grew by about 4.65 percent compared to the previous year, making it the country with the highest population growth rate in 2024. The global population Today, the global population amounts to around 7 billion people, i.e. the total number of living humans on Earth. More than half of the global population is living in Asia, while one quarter of the global population resides in Africa. High fertility rates in Africa and Asia, a decline in the mortality rates and an increase in the median age of the world population all contribute to the global population growth. Statistics show that the global population is subject to increase by almost 4 billion people by 2100. The global population growth is a direct result of people living longer because of better living conditions and a healthier nutrition. Three out of five of the most populous countries in the world are located in Asia. Ultimately the highest population growth rate is also found there, the country with the highest population growth rate is Syria. This could be due to a low infant mortality rate in Syria or the ever -expanding tourism sector.

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.

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.

This feature layer was created for use with the Tennessee State Data Center County Population Estimates and Components of Change Dashboard and its design is specific to that application. The map is updated each March when an additional year is added to the estimate series. The layer contains overlapping geographic features (one county polygon for each year in the estimate vintage). In other words for a Knox County, there would be a polygon feature and associated attributes for 2020, 2021, 2022 and so on. Therefore, for general use the map must be filtered to show only a single year from the estimate series. Each county's population, numeric change and percent change are provided for every year in the population estimate times series. Additional columns providing ranks of the fastest-growing counties by size and rank order by population size.The layers includes a number of Tennessee specific, geographic classification systems that are found in Classifications are from the 2023 Tennessee County Geographic Classifier Reference File

Development Districts2020 Urban and Rural Counties; Tennessee Department of Economic and Community Development2023 Metropolitan and Micropolitan Statistical Areas

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.

EPA data for Air Quality Index (AQI) for 11 of the fastest growing cities in the US for 2010 and 2019. US Official Census data for respective city growth from 2010-2019.

There are 4 labeled tabs. First is EPA data for each city for years 2010 and 2019. Second is US census data for each city's growth, region, population. Third is a key for AQI scores, Fourth is a key for air pollutant types.

Data is from US official census data and Environmental Protection Agency data. Cite both of these websites. Also, EPA data is county data from which the respective city belongs to. This is because county data is the most drilled down AQI data that the EPA website offers, or at least that I saw.

The average for 2023 based on 196 countries was 1.15 percent. The highest value was in Singapore: 4.86 percent and the lowest value was in Ukraine: -2.67 percent. The indicator is available from 1961 to 2023. Below is a chart for all countries where data are available.

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.

Lithuania had the fastest-growing population in Central and Eastern Europe (CEE), at an annual rate of 1.14 percent in 2022. Estonia ranked second, with the population growth of 1.03 percent year-on-year. In most CEE countries, the population marked a decrease from the previous year. Ukraine reported the most dramatic population decline, at nearly 14.2 percent.

Forecasts indicate significant growth in the e-commerce sectors of Asia in 2024. Topping the list are the Philippines and India, poised for a surge of approximately ** percent and ** percent in online sales, respectively. Following closely behind, Malaysia secures the third spot with an **** percent growth rate. Meanwhile, Bolivia and Mexico were expected to outpace other nations, with e-retail sales forecast to grow by over ** percent. A growing global e-retail market Partly fueled by a rapid increase in internet users worldwide over recent years, along with mobility constraints and the shutdown of physical stores during the COVID-19 pandemic, the global e-commerce retail market expanded fourfold from 2014 to 2022. Central to this growth has been the widespread adoption of mobile commerce, which entails online shopping through smartphones, particularly prominent in various regions of the global South. Forecasts suggested that m-commerce sales in Argentina are poised to surge by around *** times between 2022 and 2026. Fast-growing markets fueled by local players While online retail giants Amazon and Alibaba Group wield global dominance in the e-commerce landscape, they do not hold the top positions in many of the fastest-growing e-commerce markets. Based on monthly website traffic, Singaporean e-retailer Shopee is the leading e-commerce site in Singapore by a significant margin. This trend is even more pronounced in Argentina, where Mercado Libre garners nearly ** times the traffic witnessed on Amazon's Spanish page, amazon.es.

Homeless Students in Arkansas (2024–25): What the data says

TL;DR: 10.9k Arkansas students experienced homelessness in 2024–25 (0.8% of enrollment). Most are “Doubled Up”, sharing housing because of loss of housing or economic hardship. Geography matters: large, fast-growing counties report the highest counts even when they aren’t the poorest, and poverty explains much but not all of variation in homelessness.

Data & Method

Sources: Arkansas Department of Education 2024–2025; NIH poverty estimates (see workbook notes).

Unit of analysis: county-level counts of students

Tools: Tableau Public dashboard + worksheets; regression overlay on county scatter.

What to look at in the dashboard

County Map – Homeless students by county. Use the map to spot hotspots, hover for counts and enrollment context.

Housing Type Breakdown – Statewide composition: Doubled-Up 89.3%, Awaiting Foster Care 4.9%, Hotels/Motels 3.9%, Unsheltered 1.9%. Hidden homelessness dominates the lived experience of students.

Poverty vs. Homeless Students (Scatter) – A clear positive relationship (R² ≈ 0.59, p < 0.0001) indicates poverty is a strong driver, but not the whole story—some populous counties sit above/below the line.

County Comparison Bars – For larger counties (e.g., Benton, Pulaski, Washington), most identified students are Doubled-Up, and that share typically ranges 80–92%, underscoring the need for family-stability interventions.

Key findings

Scale: ~10,872 students (≈0.8% of 1.46M enrollment) were identified as experiencing homelessness statewide.

Geography ≠ poverty alone: Benton County reports the highest count despite not being among the highest poverty counties, reflecting population growth and housing pressure.

Mechanism: “Doubled Up” is the dominant pathway into homelessness for students. It's far more common than shelters, motels, or unsheltered situations. Supports that keep families stably housed (rent/utility assistance, eviction prevention, rapid re-housing) are likely to reach the largest group.

How analysts can use this

Targeting: Combine county counts with local enrollment to compute rates and flag counties that are high count and high rate for prioritization.

Program design: Given the 89% Doubled Up share, expect needs around transportation, documentation, and quick stabilization rather than shelter capacity alone.

Further work: Add rental vacancy, eviction filings, and new construction permits to the model to explain outliers.

Caveats

Counts reflect identification, not true prevalence; under identification is common for Doubled Up students.

County differences may reflect district identification practices and local resources.

Exploration tips: Use the dashboard’s tooltips, legend toggles (to isolate housing types), and the regression line on the scatter to compare counties to the statewide trend.

Plan ObjectivesThe main focus of this plan is to connect Northern Colorado together, while also grouping R mainly rural and D more urban leaning areas together to give a balanced approach to redistricting.The fast growing counties of Larimer and Weld together with Longmont have unique growth needs. This is a newly proposed Northern Colorado district "8" It is also a competitive district.District 5 and District 7 have a rural focus and lean R and are Strong R respectively. District 4 focused on Colorado Springs/Jefferson County is another lean R district.Urban districts are kept in tact and have a strong D or lean D factor. District 1 Denver is universal with most maps with a Strong D focus. District 6 includes Boulder and other Western Suburbs. District 2 focuses on North and North Eastern Suburbs. District 3 is focused on the Southern and South Eastern Suburbs.In summary this map keeps rural and urban areas together while also connecting the fast growing area of Northern Colorado. The districts break out to 2 Strong D 2 Lean D 1 Strong R 2 Lean R and 1 tossup a strong match to where Colorado is politically.

The increased world population is among the fierce problems the world is facing right now and it will get uncontrolled in the coming future if proper steps for its betterment were not taken immediately. This world has observed the fastest growth during the 20th century. In the 1950s world population was 2.7 billion, By the end of this year it will cross 8 billion. This dataset is uploaded with the assumption to use your Data Science, Machine learning, and Predictive analytics skills and answer the following questions. 1. Which countries have the highest growth rate. 2. What are the densely populated countries in the world. 3. Keeping in view all the variables in mind which countries should take serious steps to control their population.

This statistic shows the 25 largest counties in the United States in 2022, by population. In 2022, about 9.72 million people were estimated to be living in Los Angeles County, California.

Additional information on urbanization in the United States

Urbanization is defined as the process by which cities grow or by which societies become more urban. Rural to urban migration in the United States, and around the world, is often undertaken in the search for employment or to enjoy greater access to services such as healthcare. The largest cities in the United States are steadily growing. Given their size, incremental increases yield considerable numerical gains as seen by New York increasing by 69,777 people in 2011, the most of any city. However in terms of percentage growth, smaller cities outside the main centers are growing the fastest, such as Georgetown city and Leander city in Texas.

Urbanization has increased slowly in the United States, rising from 80.77 percent of the population living in urban areas in 2010 to 82.66 percent in 2020. In 2018, the United States ranked 14th in a ranking of countries based on their degree of urbanization. Unlike fully urbanized countries such as Singapore and Hong Kong, the United States maintains a sizeable agricultural industry. Although technological developments have reduced demands for rural labor, labor in the industry and supporting services are still required.

The European countries which saw the greatest population growth in 2025 were Gibraltar, Kosovo and Iceland. Overall, Europe's population declined by 3.3 percent in 2025, with this varying by region from a 0.19 percent decline in northern Europe to 4.6 percent in southern Europe. All the countries which saw the largest declines in their population in 2025 were central and eastern European countries.

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.

Estimated number of persons by quarter of a year and by year, Canada, provinces and territories.

The regional veterinary ocular medicine market showcased varied growth patterns in 2024, with Russia recording the highest expansion at 19.04%, followed by the Rest of Europe at 18.73%, and the United Kingdom at 14.47%. The veterinary ocular medicine market is estimated to strengthen further in 2025, with Russia reaching 19.17%, driven by expanding veterinary healthcare infrastructure and an increasing emphasis on ocular diagnostics in companion animals. The United Kingdom’s share is also expected to rise to 14.52%, supported by advancements in ophthalmic formulations and distribution networks. From 2026 to 2032, the Europe Veterinary Ocular Medicine Market is projected to maintain consistent momentum, led by Russia’s market share progression to 20.13% by 2032. The Rest of Europe is anticipated to follow with 18.54%, indicating sustained adoption across emerging veterinary clinics. The United Kingdom’s steady growth to 14.85% underscores innovation-led market participation and increasing demand for therapeutic eye care solutions across the continent.

Rising income inequality challenges economic and social stability in developing countries. For China, the fastest-growing global digital economy, it could be an effective tool to promote inclusive development, narrowing urban–rural income disparity. It investigates the role of digital financial inclusion (DFI) in narrowing the urban–rural income gap. The study uses panel data from 52 counties in Zhejiang Province, China, from 2014 to 2020. The results show that the development of DFI significantly reduces rural–urban and rural income inequality. The development of DFI helps optimize industrial structure and upgrade the internal structure of agriculture, facilitating income growth for people in rural areas. Such effects are greater in poorer counties. Our findings provide insights into why rapid DFI and the narrowing of the rural–urban income disparity exist in China. Moreover, our results provide clear policy implications on how to reduce the disparity. The most compelling suggestion is that promoting the optimization of industrial structure through DFI is crucial for narrowing the urban–rural income gap.