In 2023, the share of urban population in Puerto Rico remained nearly unchanged at around 93.63 percent. However, 2023 marked the third consecutive increase of the share. The urban population refers to the share of the total population living in urban centers. Each country has their own definition of what constitutes an urban center (based on population size, area, or space between dwellings, among others), therefore international comparisons may be inconsistent.Find more key insights for the share of urban population in countries like Dominica and Haiti.

Puerto Rico urban population for 2023 was 3,001,617, a 0.42% decline from 2022.

<ul style='margin-top:20px;'>

<li>Puerto Rico urban population for 2022 was <strong>3,014,348</strong>, a <strong>1.29% decline</strong> from 2021.</li>
<li>Puerto Rico urban population for 2021 was <strong>3,053,620</strong>, a <strong>0.56% decline</strong> from 2020.</li>
<li>Puerto Rico urban population for 2020 was <strong>3,070,914</strong>, a <strong>2.76% increase</strong> from 2019.</li>
</ul>Urban population refers to people living in urban areas as defined by national statistical offices. It is calculated using World Bank population estimates and urban ratios from the United Nations World Urbanization Prospects. Aggregation of urban and rural population may not add up to total population because of different country coverages.

Data comes from a project that aimed to identify the effects of urbanization on stream habitat quality and associated odonate assemblages in Puerto Rico. In this study, 16 streams along a rural to urban gradient in the San Juan Metropolitan Area were sampled. Each stream was characterized using the Stream Visual Assessment Protocol (SVAP) for Puerto Rico and by analyzing their surrounding land cover. A 100-m segment of each stream was surveyed to assess adult odonate richness and abundance during the rainy and dry seasons. Adults were identified visually, and their abundance was recorded.

Data is a product of: Maldonado-Benítez, Mariani-Ríos & Ramírez (2022): Effects of urbanization on Odonata assemblages in tropical island streams in San Juan, Puerto Rico. International Journal of Odonatology, 25, 31–42 doi:10.48156/1388.2022.1917163

The share of urban population in Antigua and Barbuda saw no significant changes in 2023 in comparison to the previous year 2022 and remained at around 24.33 percent. But still, the share reached its lowest value of the observation period in 2023. A population may be defined as urban depending on the size (population or area) or population density of the village, town, or city. The urbanization rate then refers to the share of the total population who live in an urban setting. International comparisons may be inconsistent due to differing parameters for what constitutes an urban center.Find more key insights for the share of urban population in countries like Puerto Rico and Dominica.

Key science question:

• How does stream channel morphology respond to the addition of impervious cover in a humid tropical region adjusted to frequent large storms?

Urbanization through the addition of impervious cover can alter catchment hydrology, often resulting in increased peak flows during floods. This phenomenon and the resulting impact on stream channel morphology is well documented in temperate climatic regions, but not well documented in the humid tropics where urbanization is rapidly occurring. This study investigates the long-term effects of urbanization on channel morphology in the humid sub-tropical region of Puerto Rico, an area characterized by frequent high-magnitude flows, and steep coarse-grained rivers. Grain size, low-flow channel roughness, and the hydraulic geometry of streams across a land-use gradient that ranges from pristine forest to high density urbanized catchments are compared. In areas that have been urbanized for several decades changes in channel features were measurable, but were smaller than those reported for comparable temperate streams. Decades of development has resulted in increased fine sediment and anthropogenic debris in urbanized catchments. Materials of anthropogenic origin comprise an average of 6% of the bed material in streams with catchments with 15% or greater impervious cover. At-a-station hydraulic geometry shows that velocity makes up a larger component of discharge for rural

channels, while depth contributes a larger component of discharge in urban catchments. The average bank-full cross-sectional area of urbanized reaches was 1.5 times larger than comparable forested reaches, and less than the world average increase of 2.5. On average, stream width at bank-full height did not change with urbanization while the world average increase is 1.5 times. Overall, this study indicates that the morphologic changes that occur in response to urban runoff are less in channels that are already subject to frequent large magnitude storms. Furthermore, this study suggests that developing regions in the humid tropics shouldn’t rely on temperate analogues to determine the magnitude of impact of urbanization on stream morphology.

References to Other Datasets: Cross sections, grain size, and longitudinal measurements for 14 gaged streams in the NE PR region. Cross sections, grain size, longitudinal profiles, and low flow velocity for 42 field sites across a gradient of land use in the NE region of PR Relevant Publications:

Pike AS, Scatena FN. 2010. Riparian indicators of flow frequency in a tropical montane stream network. Journal of Hydrology 382 : 72-87. DOI: 10.1016/j.jhydrol.2009.12.019

Phillips CB, and Scatena FN. 2012. Reduced channel morphological response to urbanization in a flood-dominated humid tropical environment. Earth Surface Processes and Landforms. DOI: 10.1002/esp.3345. http://onlinelibrary.wiley.com/doi/10.1002/esp.3345/full

In 2025, the degree of urbanization worldwide was at 58 percent. North America, Latin America, and the Caribbean were the regions with the highest level of urbanization, with over four-fifths of the population residing in urban areas. The degree of urbanization defines the share of the population living in areas defined as "cities". On the other hand, less than half of Africa's population lives in urban settlements. Globally, China accounts for over one-quarter of the built-up areas of more than 500,000 inhabitants. The definition of a city differs across various world regions - some countries count settlements with 100 houses or more as urban, while others only include the capital of a country or provincial capitals in their count. Largest agglomerations worldwideThough North America is the most urbanized continent, no U.S. city was among the top ten urban agglomerations worldwide in 2023. Tokyo-Yokohama in Japan was the largest urban area in the world that year, with 37.7 million inhabitants. New York ranked 13th, with 21.4 million inhabitants. Eight of the 10 most populous cities are located in Asia. ConnectivityIt may be hard to imagine how the reality will look in 2050, with 70 percent of the global population living in cities, but some statistics illustrate the ways urban living differs from suburban and rural living. American urbanites may lead more “connected” (i.e., internet-connected) lives than their rural and/or suburban counterparts. As of 2021, around 89 percent of people living in urban areas owned a smartphone. Internet usage was also higher in cities than in rural areas. On the other hand, rural areas always have, and always will, attract those who want to escape the rush of the city.

In 2020, about 82.66 percent of the total population in the United States lived in cities and urban areas. As the United States was one of the earliest nations to industrialize, it has had a comparatively high rate of urbanization over the past two centuries. The urban population became larger than the rural population during the 1910s, and by the middle of the century it is expected that almost 90 percent of the population will live in an urban setting. Regional development of urbanization in the U.S. The United States began to urbanize on a larger scale in the 1830s, as technological advancements reduced the labor demand in agriculture, and as European migration began to rise. One major difference between early urbanization in the U.S. and other industrializing economies, such as the UK or Germany, was population distribution. Throughout the 1800s, the Northeastern U.S. became the most industrious and urban region of the country, as this was the main point of arrival for migrants. Disparities in industrialization and urbanization was a key contributor to the Union's victory in the Civil War, not only due to population sizes, but also through production capabilities and transport infrastructure. The Northeast's population reached an urban majority in the 1870s, whereas this did not occur in the South until the 1950s. As more people moved westward in the late 1800s, not only did their population growth increase, but the share of the urban population also rose, with an urban majority established in both the West and Midwest regions in the 1910s. The West would eventually become the most urbanized region in the 1960s, and over 90 percent of the West's population is urbanized today. Urbanization today New York City is the most populous city in the United States, with a population of 8.3 million, while California has the largest urban population of any state. California also has the highest urbanization rate, although the District of Columbia is considered 100 percent urban. Only four U.S. states still have a rural majority, these are Maine, Mississippi, Montana, and West Virginia.

The continuous development of urbanization has dramatically changed people’s living environment and lifestyle, accompanied by the increased prevalence of chronic diseases. However, there is little research on the effect of urbanization on gut microbiome in residents. Here we investigated the relation between living environment and gut microbiota in a homogenous population along an urban-rural gradient in Ningxia China. According to the degree of urbanization, the population is divided into four groups: mountainous rural (MR) represents non-urbanized areas, mountainous urban (MU) and plain rural (PR) represent preliminary urbanization, and plain urban (PU) is a representative of complete urbanization. Studies have found that with the deepening of urbanization, the prevalence of chronic diseases, such as diabetes, dyslipidemia, fatty liver, gallstones, and renal cysts, have gradually increased. The intestinal richness and diversity of the microbial community were significantly reduced in the PR and the PU groups compared with the MR and the MU groups. Based on linear discriminant analysis selection, the significantly enriched genera Faecalibacterium, Prevotella, and Pseudobutyrivibrio in the MR group gradually decreased in the MU, the PR, and the PU groups. Effect size results revealed that both residence and diet had an effect on intestinal microbiota. Our results suggested that the disparate patterns of gut microbiota composition were revealed at different levels of urbanization, providing an opportunity to understand the pathogenesis of chronic diseases and the contribution of the “rural microbiome” in potential protection against the occurrence of chronic diseases.

The share of urban population in the Bahamas saw no significant changes in 2023 in comparison to the previous year 2022 and remained at around 83.62 percent. Nevertheless, 2023 still represents a peak in the share in the Bahamas. A population may be defined as urban depending on the size (population or area) or population density of the village, town, or city. The urbanization rate then refers to the share of the total population who live in an urban setting. International comparisons may be inconsistent due to differing parameters for what constitutes an urban center.Find more key insights for the share of urban population in countries like Barbados and Puerto Rico.

This statistic shows the percentage of the total population living in urban areas worldwide from 1950 to 2050, by regional development level. By 2050, more developed regions of the world will have 86.6 percent of their populations living in urban areas.

The San Juan Bay Estuary, Puerto Rico, contains mangrove forests that store significant amounts of organic carbon in soils and biomass. There is a strong urbanization gradient across the estuary, from the highly urbanized and clogged Caño Martin Peña in the western part of the estuary, a series of lagoons in the center of the estuary, and a tropical forest reserve (Piñones) in the easternmost part with limited urbanization. We collected sediment cores to determine carbon burial rates and vertical sediment accretion from five sites in the San Juan Bay Estuary. Cores were radiometrically-dated using lead-210 and the Plum age model. Sites had soil C burial rates ranging from 50 grams per meter squared per year (g m-2 y-1) in the San José lagoon to 632 g m-2 y-1 in the Caño Martin Peña in recent decades. Soil accretion and carbon burial rates were greater in recent decades (1970-2016) compared to historic decades (1930-1970) at some of the forest mangrove sites (i.e. Caño Martin Peña). Apparently, not only urbanization, but site-specific flushing patterns, landscape setting, and soil characteristics affected soil C burial rates. This dataset can help evaluate how differences in urbanization (low in the forest preserve to high in the clogged canal), flushing, and landscape setting influence soil accretion and carbon burial in urban, tropical mangrove forests.

Although the American Community Survey (ACS) produces population, demographic and housing unit estimates, for 2020, the 2020 Census provides the official counts of the population and housing units for the nation, states, counties, cities, and towns. For 2016 to 2019, the Population Estimates Program provides estimates of the population for the nation, states, counties, cities, and towns and intercensal housing unit estimates for the nation, states, and counties..This table provides geographical mobility for persons relative to their previous place of residence. The characteristics crossed by geographical mobility reflect the current survey year. The estimates do not include people who moved to other U.S. Island Areas or Foreign Countries..Supporting documentation on code lists, subject definitions, data accuracy, and statistical testing can be found on the American Community Survey website in the Technical Documentation section.Sample size and data quality measures (including coverage rates, allocation rates, and response rates) can be found on the American Community Survey website in the Methodology section..Source: U.S. Census Bureau, 2016-2020 American Community Survey 5-Year Estimates.Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability is represented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpreted roughly as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin of error (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject to nonsampling error (for a discussion of nonsampling variability, see ACS Technical Documentation). The effect of nonsampling error is not represented in these tables..Tables for Geographical Mobility by Residence 1 Year Ago in Puerto Rico are only available for Puerto Rico; Municipios; Places; Combined Statistical Areas; Metropolitan and Micropolitan Statistical Areas, and their associated Principal Cities..The 2016-2020 American Community Survey (ACS) data generally reflect the September 2018 Office of Management and Budget (OMB) delineations of metropolitan and micropolitan statistical areas. In certain instances, the names, codes, and boundaries of the principal cities shown in ACS tables may differ from the OMB delineation lists due to differences in the effective dates of the geographic entities..Estimates of urban and rural populations, housing units, and characteristics reflect boundaries of urban areas defined based on Census 2010 data. As a result, data for urban and rural areas from the ACS do not necessarily reflect the results of ongoing urbanization..Explanation of Symbols:- The estimate could not be computed because there were an insufficient number of sample observations. For a ratio of medians estimate, one or both of the median estimates falls in the lowest interval or highest interval of an open-ended distribution.N The estimate or margin of error cannot be displayed because there were an insufficient number of sample cases in the selected geographic area. (X) The estimate or margin of error is not applicable or not available.median- The median falls in the lowest interval of an open-ended distribution (for example "2,500-")median+ The median falls in the highest interval of an open-ended distribution (for example "250,000+").** The margin of error could not be computed because there were an insufficient number of sample observations.*** The margin of error could not be computed because the median falls in the lowest interval or highest interval of an open-ended distribution.***** A margin of error is not appropriate because the corresponding estimate is controlled to an independent population or housing estimate. Effectively, the corresponding estimate has no sampling error and the margin of error may be treated as zero.

CN: Population: Usual Residence: Urbanization Rate: Anhui data was reported at 62.570 % in 2024. This records an increase from the previous number of 61.510 % for 2023. CN: Population: Usual Residence: Urbanization Rate: Anhui data is updated yearly, averaging 50.140 % from Dec 2005 (Median) to 2024, with 20 observations. The data reached an all-time high of 62.570 % in 2024 and a record low of 35.460 % in 2005. CN: Population: Usual Residence: Urbanization Rate: Anhui data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s Socio-Demographic – Table CN.GA: Population: Urbanization Rate.

CN: Population: Usual Residence: Urbanization Rate: Gansu data was reported at 56.830 % in 2024. This records an increase from the previous number of 55.490 % for 2023. CN: Population: Usual Residence: Urbanization Rate: Gansu data is updated yearly, averaging 19.185 % from Dec 1949 (Median) to 2024, with 76 observations. The data reached an all-time high of 56.830 % in 2024 and a record low of 9.460 % in 1949. CN: Population: Usual Residence: Urbanization Rate: Gansu data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s Socio-Demographic – Table CN.GA: Population: Urbanization Rate.

CN: Population: Usual Residence: Urbanization Rate: Hainan data was reported at 63.080 % in 2024. This records an increase from the previous number of 62.460 % for 2023. CN: Population: Usual Residence: Urbanization Rate: Hainan data is updated yearly, averaging 17.850 % from Dec 1952 (Median) to 2024, with 69 observations. The data reached an all-time high of 63.080 % in 2024 and a record low of 7.480 % in 1982. CN: Population: Usual Residence: Urbanization Rate: Hainan data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s Socio-Demographic – Table CN.GA: Population: Urbanization Rate.

CN: Population: Usual Residence: Urbanization Rate: Sichuan data was reported at 60.100 % in 2024. This records an increase from the previous number of 59.490 % for 2023. CN: Population: Usual Residence: Urbanization Rate: Sichuan data is updated yearly, averaging 47.390 % from Dec 2005 (Median) to 2024, with 20 observations. The data reached an all-time high of 60.100 % in 2024 and a record low of 32.990 % in 2005. CN: Population: Usual Residence: Urbanization Rate: Sichuan data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s Socio-Demographic – Table CN.GA: Population: Urbanization Rate.

Proportion of population living in Urban and Rural areas for the Pacific Island and Territories. The Degree of Urbanization classifies the entire territory of a country along the urban-rural continuum.

Find more Pacific data on PDH.stat.

Understanding how ecological and cultural resources may change in the future is an important component of conservation planning and for the implementation of long-term environmental monitoring. We modeled six future scenarios of urbanization and sea level rise to investigate their potential effects on the Peninsular Florida Landscape Conservation Cooperative's Priority Resources (PFLCC 2016), which were identified as important for conservation through a cooperative multi-partner effort to prioritize conservation efforts on a state-wide scale. These data represent conservation targets for the Coastal Uplands at present, and under six future scenarios of sea level rise and urbanization.

Although the American Community Survey (ACS) produces population, demographic and housing unit estimates, the decennial census is the official source of population totals for April 1st of each decennial year. In between censuses, the Census Bureau's Population Estimates Program produces and disseminates the official estimates of the population for the nation, states, counties, cities, and towns and estimates of housing units for states and counties..This table provides geographical mobility for persons relative to their previous place of residence. The characteristics crossed by geographical mobility reflect the current survey year. The estimates do not include people who moved to other U.S. Island Areas or Foreign Countries..Information about the American Community Survey (ACS) can be found on the ACS website. Supporting documentation including code lists, subject definitions, data accuracy, and statistical testing, and a full list of ACS tables and table shells (without estimates) can be found on the Technical Documentation section of the ACS website.Sample size and data quality measures (including coverage rates, allocation rates, and response rates) can be found on the American Community Survey website in the Methodology section..Source: U.S. Census Bureau, 2022 American Community Survey 1-Year Estimates.Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability is represented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpreted roughly as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin of error (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject to nonsampling error (for a discussion of nonsampling variability, see ACS Technical Documentation). The effect of nonsampling error is not represented in these tables..Tables for Geographical Mobility by Residence 1 Year Ago in Puerto Rico are only available for Puerto Rico; Municipios; Places; Combined Statistical Areas; Metropolitan and Micropolitan Statistical Areas, and their associated Principal Cities..The 2022 American Community Survey (ACS) data generally reflect the March 2020 Office of Management and Budget (OMB) delineations of metropolitan and micropolitan statistical areas. In certain instances the names, codes, and boundaries of the principal cities shown in ACS tables may differ from the OMB delineations due to differences in the effective dates of the geographic entities..Estimates of urban and rural populations, housing units, and characteristics reflect boundaries of urban areas defined based on 2020 Census data. As a result, data for urban and rural areas from the ACS do not necessarily reflect the results of ongoing urbanization..Explanation of Symbols:- The estimate could not be computed because there were an insufficient number of sample observations. For a ratio of medians estimate, one or both of the median estimates falls in the lowest interval or highest interval of an open-ended distribution. For a 5-year median estimate, the margin of error associated with a median was larger than the median itself.N The estimate or margin of error cannot be displayed because there were an insufficient number of sample cases in the selected geographic area. (X) The estimate or margin of error is not applicable or not available.median- The median falls in the lowest interval of an open-ended distribution (for example "2,500-")median+ The median falls in the highest interval of an open-ended distribution (for example "250,000+").** The margin of error could not be computed because there were an insufficient number of sample observations.*** The margin of error could not be computed because the median falls in the lowest interval or highest interval of an open-ended distribution.***** A margin of error is not appropriate because the corresponding estimate is controlled to an independent population or housing estimate. Effectively, the corresponding estimate has no sampling error and the margin of error may be treated as zero.

The U.S. Environmental Protection Agency (EPA) National Priorities List (NPL) Sites Point Data with CIESIN Modifications, Version 2 is a modified version of the 2014 EPA NPL list. It includes all the sites that are proposed, currently on, or deleted from the Final NPL as of February 27, 2014. CIESIN has fixed eleven of the original coordinates by correcting latitude or longitude coordinates. It contains the point locations, including the eleven corrections, for 1,747 U.S. hazardous waste sites on the National Priorities List (NPL) of EPA's Comprehensive Environmental Response, Compensation, and Liability Information System (CERCLIS) for the fifty states, Puerto Rico, and 4 other territorial areas plus the now independent Palau, Federated States of Micronesia. The sites in CERCLIS are also known as Superfund Sites. The NPL is intended primarily to guide the EPA in determining which sites warrant further investigation.