In 2023, Washington, D.C. had the highest population density in the United States, with 11,130.69 people per square mile. As a whole, there were about 94.83 residents per square mile in the U.S., and Alaska was the state with the lowest population density, with 1.29 residents per square mile. The problem of population density Simply put, population density is the population of a country divided by the area of the country. While this can be an interesting measure of how many people live in a country and how large the country is, it does not account for the degree of urbanization, or the share of people who live in urban centers. For example, Russia is the largest country in the world and has a comparatively low population, so its population density is very low. However, much of the country is uninhabited, so cities in Russia are much more densely populated than the rest of the country. Urbanization in the United States While the United States is not very densely populated compared to other countries, its population density has increased significantly over the past few decades. The degree of urbanization has also increased, and well over half of the population lives in urban centers.

Spatial datasets utilized to conduct the spatial analysis and additional information from the research article: Coastal proximity of populations in 22 Pacific Island Countries and Territories. https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0223249 https://sdd.spc.int/mapping-coastal

These files contain the key distribution metrics of center of gravity, range limits, and depth for each species in the portal. This data set covers 8 regions of the United States: Northeast, Southeast, Gulf of Mexico, West Coast, Bering Sea, Aleutian Islands, Gulf of Alaska, and Hawai'i Islands.

The West Africa Coastal Vulnerability Mapping: Population Projections, 2030 and 2050 data set is based on an unreleased working version of the Gridded Population of the World (GPW), Version 4, year 2010 population count raster but at a coarser 5 arc-minute resolution. Bryan Jones of Baruch College produced country-level projections based on the Shared Socioeconomic Pathway 4 (SSP4). SSP4 reflects a divided world where cities that have relatively high standards of living, are attractive to internal and international migrants. In low income countries, rapidly growing rural populations live on shrinking areas of arable land due to both high population pressure and expansion of large-scale mechanized farming by international agricultural firms. This pressure induces large migration flow to the cities, contributing to fast urbanization, although urban areas do not provide many opportUnities for the poor and there is a massive expansion of slums and squatter settlements. This scenario may not be the most likely for the West Africa region, but it has internal coherence and is at least plausible.

The dataset includes age- and length-based catch per unit effort data for commercial fish species collected during the Scottish West Coast Bottom Trawl Survey. This is a new survey from 2011, replacing the historical DATRAS SWC-IBTS dataset

These files contain the spatial boundaries of the NOAA Fisheries Bottom-trawl surveys. This data set covers 8 regions of the United States: Northeast, Southeast, Gulf of Mexico, West Coast, Eastern Bering Sea, Aleutian Islands, Gulf of Alaska, and Hawai'i Islands.

The West Africa Coastal Vulnerability Mapping: GPW Version 4 Population Density, Preliminary Release 1, 2010, represents the number of persons per square kilometer, and was calculated by dividing an unreleased working version of the Gridded Population of the World (GPW), Version 4, year 2010 population count raster for the West Africa region by a land area raster and cropping the result to within 200 kilometers of the coast. GPW provides globally consistent and spatially explicit human population information and data for use in research, policy making, and communications. This is a gridded (raster) data product that renders global population data at the scale and extent required to demonstrate the spatial relationship of human populations and the environment across the globe. The gridded data set is constructed from national or subnational input Units (usually administrative Units) of varying resolutions. The native grid cell resolution of GPWv4 is 30 arc-second, or ~1 km at the equator.

Transient killers whales inhabit the West Coast of the United States. Their range and movement patterns are difficult to ascertain, but are vital to understanding killer whale population dynamics and abundance trends. Satellite tagging of West Coast transient killer whales to determine range and movement patterns will provide data to assist in understanding transient killer whale populations. Locational data.

SFWMD has compiled this dataset from information submitted by the utilities and verified by staff. This data is updated by SFWMD's water supply planning regions in 5 year cycles. This dataset represents the utilities best estimate of current and additional future served areas. Each region's planning cycle is typically projected 20 to 25 years in the future. The primary purpose of this dataset is to determine future population and associated water use demands, and to prepare maps in support of Water Supply Plan updates for the South Florida Water Management District's five regional planning areas (Lower West Coast, Upper East Coast, Lower East Coast, Lower Kissimmee Basin and the Central Florida Water Initiative (CFWI).

The West Africa Coastal Vulnerability Mapping: Social Vulnerability Indices data set includes three indices: Social Vulnerability, Population Exposure, and Poverty and Adaptive Capacity. The Social Vulnerability Index (SVI) was developed using six indicators: population density (2010), population growth (2000-2010), subnational poverty and extreme poverty (2005), maternal education levels circa 2008, market accessibility (travel time to markets) circa 2000, and conflict data for political violence (1997-2013). Because areas of high population density and growth (high vulnerability) are generally associated with urban areas that have lower levels of poverty and higher degrees of adaptive capacity (low vulnerability), to some degree, the population factors cancel out the poverty and adaptive capacity indicators. To account for this, the data set includes two sub-indices, a Population Exposure Index (PEI), which only includes population density and population growth; and a Poverty and Adaptive Capacity Index (PACI), composed of subnational poverty, maternal education levels, market accessibility, and conflict. These sub-indices are able to isolate the population indicators from the poverty and conflict metrics. The indices represent Social Vulnerability in the West Africa region within 200 kilometers of the coast.

This data set contains observations of dead or alive harbor porpoises made by the public, mostly around the Swedish coast. A few observations are from Norwegian, Danish, Finish and German waters. Each observation of harbor porpoise is verified at the Swedish Museum of Natural History before it is approved and published on the web. The verification consists of controlling the accuracy of number of animals sighted, if the coordinates are correct and if pictures are attached that they really show a porpoise and not another species. If any of these three seem unlikely, the reporter is contacted and asked more detailed questions. The report is approved or denied depending on the answers given. Pictures and movies that can’t be uploaded to the database due to size problems are saved at the museum server and marked with the identification number given by the database. By the end of the year the data is submitted to HELCOM who then summarize all the member state’s data from the Baltic proper to the Kattegat basin. The porpoise is one of the smallest tooth whales in the world and the only whale species that breeds in Swedish waters. They are to be found in temperate water in the northern hemisphere where they live in small groups of 1-3 individuals. The females give birth to a calf in the summer months which then suckles for about 10 months before it is left on its own and she has a new calf. The porpoises around Sweden are divided in to three groups that don’t mix very often. The North Sea population is found on the west coast in Skagerrak down to the Falkenberg area. The Belt Sea population is to be found a bit north of Falkenberg down to Blekinge archipelago in the Baltic. The Baltic proper population is the smallest population and consists only of a few hundred animals and is considered as an endangered sub species. They are most commonly found from the Blekinge archipelago up to Åland Sea with a hot spot area south of Gotland at Hoburg’s bank and the Mid-Sea bank. The Porpoise Observation Database was started in 2005 at the request of the Swedish Environmental Protection Agency to get a better understanding of where to find porpoises with the idea to use the public to expand the “survey area”. The first year 26 sightings were reported, where 4 was from the Baltic Sea. The museum is particularly interested in sightings from the Baltic Sea due to the low numbers of animals and lack of data and knowledge about this group. In the beginning only live sightings were reported but later also found dead animals were added. Some of the animals that are reported dead are collected. Depending on where it is found and its state of decay, the animal can be subsampled in the field. A piece of blubber and some teeth are then send in by mail and stored in the Environmental Specimen Bank at the Swedish Museum of Natural History in Stockholm. If the whole animal is collected an autopsy is performed at the National Veterinary Institute in Uppsala to try and determine cause of death. Organs, teeth and parasites are sampled and saved at the Environmental Specimen Bank as well. Information about the animal i.e. location, founding date, sex, age, length, weight, blubber thickness as well as type of organ and the amount that is sampled is then added to the Specimen Bank database. If there is an interest in getting samples or data from the Specimen Bank, one have to send in an application to the Department of Environmental research and monitoring and state the purpose of the study and the amount of samples needed.

The West Africa Coastal Vulnerability Mapping: Economic Systems Index is a composite index based on several spatial indicators, including gridded Gross Domestic Product (GDP), nighttime lights as a proxy for urban built-up and industrial areas, and cocoa, coconut, palm oil, rubber, and banana production in metric tons. It covers the coastal region of West Africa within 200 km of the coast. Population growth in the coastal zone is mostly a function of migration related to coastal economic activities; this indicator provides insights into highly exposed coastal areas that not only have high levels of economic activity but also high population growth and migration.

The West Africa Coastal Vulnerability Mapping: GPW Version 4 Population Growth, Preliminary Release 1, 2000-2010, represents positive or negative growth in the number of persons per grid cell, and was calculated by subtracting an unreleased working version of the Gridded Population of the World (GPW), Version 4, year 2000 population count raster for the West Africa region from an unreleased working version of the GPWv4 year 2010 population count raster and cropping the result to within 200 kilometers of the coast. GPW provides globally consistent and spatially explicit human population information and data for use in research, policy making, and communications. This is a gridded (raster) data product that renders global population data at the scale and extent needed to demonstrate the spatial relationship of human populations and the environment globally. The gridded data set is constructed from national or subnational input Units (usually administrative Units) of varying resolutions. The native grid cell resolution of GPWv4 is 30 arc-second, or ~1 km at the equator.

Due to continued coastal population growth and increased threats of erosion, current data on trends and rates of shoreline movement are required to inform shoreline and floodplain management. The Massachusetts Office of Coastal Zone Management launched the Shoreline Change Project in 1989 to identify erosion-prone areas of the coast. In 2001, a 1994 shoreline was added to calculate both long- and short-term shoreline change rates at 40-meter intervals along ocean-facing sections of the Massachusetts coast. The Coastal and Marine Geology Program of the U.S. Geological Survey (USGS) in cooperation with the Massachusetts Office of Coastal Zone Management, has compiled reliable historical shoreline data along open-facing sections of the Massachusetts coast under the Massachusetts Shoreline Change Mapping and Analysis Project 2013 Update. Two oceanfront shorelines for Massachusetts (approximately 1,800 km) were (1) delineated using 2008/09 color aerial orthoimagery, and (2) extracted from topographic LIDAR datasets (2007) obtained from NOAA's Ocean Service, Coastal Services Center. The new shorelines were integrated with existing Massachusetts Office of Coastal Zone Management (MA CZM) and USGS historical shoreline data in order to compute long- and short-term rates using the latest version of the Digital Shoreline Analysis System (DSAS).

These files contain the spatial boundaries of the NOAA Fisheries Bottom-trawl surveys. This data set covers 8 regions of the United States: Northeast, Southeast, Gulf of Mexico, West Coast, Bering Sea, Aleutian Islands, Gulf of Alaska, and Hawai'i Islands.

Population, classified by sex, of each province, county, city and town, suburb or environs, urban area, rural area, regional authority area, electoral division, constituency, local electoral area, gaeltacht area, and inhabited islands off the coast.

Appendix M to the Recovery Plan. Detailed maps of each of these locations are given in Appendix L. Locations of current or historical Snowy Plover breeding and wintering areas. The following maps (Figures L-77 through L-149) show the general locations of current or historical western snowy plover breeding or wintering areas on the U.S. Pacific coast within each recovery unit. The breeding and wintering locations and recovery units include only the coastal beaches, estuaries, gravel bars and salt ponds that provide western snowy plover habitat; inland areas of counties are illustrated on Figures L-77 through L-149 solely for reference. Location numbers on the maps are referenced to the numbers in parentheses shown after the location names found in the left-hand column of Table B-1 (Appendix B) and Table C-1 (Appendix C).Appendix M. Agency and Public Comment on the Western Snowy Plover (Charadrius alexandrinus nivosus) Pacific Coast Population Draft Recovery Plan.

Original provider: The Center for Conservation Biology

Dataset credits: Data provider Center for Conservation Biology Originating data center Satellite Tracking and Analysis Tool (STAT) Project partner Funding, staff, and additional resources for this project were provided by the following partners: The Nature Conservancy (Virginia and Georgia Chapters), Georgia Department of Natural Resources, US Fish and Wildlife Service, Canadian Wildlife Service, Manomet Center for Conservation Studies, and the Center for Conservation Biology.

Abstract: The whimbrel is a large, holarctic, highly migratory shorebird. The North American race includes two disjunct breeding populations both of which winter primarily in Central and South America. The western population breeds in Alaska and the Northwest Territories of Canada. The eastern population breeds south and west of Hudson Bay in Manitoba and Ontario. It has generally been believed that the western population follows a Pacific Coast migration route between breeding and wintering areas and that the Hudson Bay population follows an Atlantic Coast route. Both populations are of high conservation concern due to dramatic declines in recent decades.

For more than a decade, scientists have believed that the seaside of the lower Delmarva Peninsula in Virginia played a significant role in the life cycle of the whimbrel. During spring migration in the mid-1990s, Bryan Watts from the Center for Conservation Biology at the College of William and Mary and Barry Truitt of The Nature Conservancy documented the densest concentration of whimbrels ever recorded in the western hemisphere within the barrier island lagoon system of the lower Delmarva Peninsula. Since that time, it has been believed that the Eastern Shore of Virginia represents a critical, coastal staging area where birds feed on the staggering numbers of fiddler crabs that inhabit the lagoon system and build up energy reserves before making their last overland flight to the breeding grounds. However, it has always been assumed that the birds staging along the lower Delmarva were exclusively from the Hudson Bay population. The flight documented in spring 2008 (see Winnie's map) has forced a change in thinking regarding the origin of birds using this stopover site.

Beginning in 2008, the Center for Conservation Biology collaborated with The Nature Conservancy to investigate the stopover ecology of whimbrels along the Delmarva Peninsula. The study includes aerial surveys to estimate seasonal numbers, traditional transmitters to examine stopover periods, and satellite transmitters to document migration pathways and breeding destinations for birds leaving the site. The seaside of the Delmarva Peninsula has been recognized as a globally important bird area, a hemispheric shorebird reserve, and a UNESCO biosphere reserve. The discovery that whimbrels use the site as a terminal staging area before embarking on a transcontinental flight suggests that the site is uniquely suited to provide the tremendous amount of energy required to prepare birds for such a flight.

Continued research planned by CCB and TNC in Virginia will investigate whimbrel stopover ecology and the broader strategic importance of this site to whimbrel populations.

In 2010, Georgia Department of Natural Resources began tracking Whimbrel from another important migration stopover on the east coast of North America. Georgia's barrier island and salt-marsh complex provide excellent stopover habitat for refueling on their migration from their wintering grounds in South America to the breeding grounds in the Arctic.

Names for the Vriginia Whimbrels are landmarks near where the Whimbrel congregate on the Eastern Shore of Virginia (Hope Creek, Box Tree, Fowling Point, Elkins Marsh, Hope Creek, Indian Creek, town of Machipongo, Webb Island, Ramshorn Channel, Mill Creek, and Kitt Creek).

Supplemental information: Visit STAT's project page for additional information.

This dataset is a summarized representation of the telemetry locations aggregated per species per 1-degree cell.

This dataset shows the population of Japanese descent, by county, in 1945. The data was manually digitized from Table 13: Number of Evacuees Known to Have Returned to West Coast States Compared with 1940 Population of Japanese Descent by County, and Post Office Address: California, Washington and Oregon in The Evacuated People: A Quantitative Description, a report published by the War Relocation Authority (the civilian agency that oversaw the forced relocation/internment program) in 1946.The original scanned tables are available on InternmentArchives.org.Featured in Justice Deferred.

This data set contains the supplemental information documents for New Partial Estimates of Pre-Contact Indigenous Populations in Western British Columbia. Included documents include R code for calculating population estimates, sample population biometric data, error calculations, protein limit calculations, and radiocarbon samples for Barkley Sound archaeology sites.