Graph and download economic data for Resident Population in Phoenix-Mesa-Scottsdale, AZ (MSA) (PHXPOP) from 2000 to 2024 about Phoenix, AZ, residents, population, and USA.

In 2023, the population of the Phoenix-Mesa-Chandler metropolitan area in the United States was about 5.1 million people. This is a slight increase from the previous year, when the population was about 5.02 million people.

Chart and table of population level and growth rate for the Phoenix metro area from 1950 to 2025.

Graph and download economic data for Employed Persons in Phoenix-Mesa-Scottsdale, AZ (MSA) (LAUMT043806000000005) from Jan 1990 to May 2025 about Phoenix, AZ, household survey, employment, persons, and USA.

Phoenix-Mesa-Chandler, AZ - Resident Population in Phoenix-Mesa-Scottsdale, AZ (MSA) was 5186.95800 Thous. of Persons in January of 2024, according to the United States Federal Reserve. Historically, Phoenix-Mesa-Chandler, AZ - Resident Population in Phoenix-Mesa-Scottsdale, AZ (MSA) reached a record high of 5186.95800 in January of 2024 and a record low of 3278.66100 in January of 2000. Trading Economics provides the current actual value, an historical data chart and related indicators for Phoenix-Mesa-Chandler, AZ - Resident Population in Phoenix-Mesa-Scottsdale, AZ (MSA) - last updated from the United States Federal Reserve on July of 2025.

Graph and download economic data for Unemployment Rate in Phoenix-Mesa-Scottsdale, AZ (MSA) (LAUMT043806000000003A) from 1990 to 2024 about Phoenix, AZ, household survey, unemployment, rate, and USA.

These data represent a geospatial analysis of Hispanic population as percentage of total population, population density for 2000 within the Greater Phoenix Area.

Graph and download economic data for Unemployed Persons in Phoenix-Mesa-Scottsdale, AZ (MSA) (LAUMT043806000000004) from Jan 1990 to May 2025 about Phoenix, AZ, household survey, unemployment, persons, and USA.

Population Density per square mile - 2000. Visit https://dataone.org/datasets/knb-lter-cap.20.6 for complete metadata about this dataset.

Graph and download economic data for Civilian Labor Force in Phoenix-Mesa-Scottsdale, AZ (MSA) (LAUMT043806000000006A) from 1990 to 2024 about Phoenix, AZ, civilian, labor force, labor, household survey, and USA.

Change in percent of Hispanic population from 1980-2000 for the Phoenix metropolitan area covered by the Central Arizona-Phoenix long term ecological research (CAP LTER) project.

These data represent the general age distribution of the population for the greater Phoenix area, central Arizona, based on the 2000 Census.

PASS is an interdisciplinary collaboration between researchers affiliated with the Central Arizona-Phoenix LTER (CAP LTER) and the Decision Center for a Desert City at Arizona State University. PASS uses social surveys of individuals in selected neighborhoods as methodology to explain the choices and actions of households and communities that influence the biophysical environment and the feedbacks of the environment to the quality of human life. After a successful pilot study in 2001-2002, data gathering for a much larger survey of 800 households in 40 neighborhoods is nearly completed. PASS 2006 is the benchmark for planned long-term social monitoring that will complement ecological monitoring in the CAP LTER study region

These data represent the spatial distribution of median single-family home sale prices for new and resale homes for the period 2001.

Determination of what degree of human modification influences the frequency of scorpion stings by looking at the number of scorpion stings in different zip code areas of the Phoenix metropolitan area. Results from this study may be useful in making recommendations on land development so scorpion stings are minimal.

Distribution of Ragweed pollen sampled in Greater Phoenix

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).

The spread of urbanization is inevitable in both the developed and developing nations of the world. As cities continue to spread the impact on the environment, flora and fauna of their local ecosystems increases. In a southwestern U.S. city (Phoenix, AZ), we assess the effects of urban development on the local raptor population both in terms of casualties and nesting behavior.

Bird surveys are conducted along transect lines located in various locations within the CAP LTER study area, with particular emphasis on golf courses, new and old residential areas, and desert remnants. Birds are being surveyed by both LTER researchers and by local interest groups and individuals (e.g., Maricopa Audubon Society). A new interactive bird population web site is now posted. One can obtain results for bird censuses that have been going on since 1 May 1998. Volunteers in combination with LTER birders have been censusing birds in over 70 transects located throughout the Phoenix metropolitan area. The goals of this project are (1) to document the changes in avian richness and abundance over time and space, and (2) to determine the biotic/abiotic factors and socioeconomic/political factors that cause these changes to occur. We have developed a census protocol and have started conducting bird censuses in four key habitats in the CAP LTER study area.

Animals utilize their environment across a range of scales, which is bounded by their extent, the broadest spatial area which organisms respond to their environment within their lifetime, and the spatial grain, the smallest area they respond to their environment (Kotlier and Wiens 1990). Within this range, organisms likely respond to their environment at a hierarchy of levels. Johnson (1980) recognizes four distinct levels of hierarchical habitat selection. At the very largest scale, first order selection, includes the entire area that an organism utilizes within its lifetime, and is also known as an organisms global home range or extent. In contrast, second order selection is an organisms local home range, or the area that it occupies within a unique ecosystem. This distinction is most apparent with migratory animals who utilize more than one distinct landscape for their survival (i.e. summer vs. winter feeding grounds), and much less so for organisms resident of one specific landscape for their entire life span. Third order selection is the selection of specific habitat patches within an ecosystem. For example, a Monarch butterfly would tend to select patches of milkweed within a prairie. And the lowest level, fourth order selection, involves the physical procurement of food within a selected patch, in our example, specific flowers within a milkweed patch, and is also known as grain. Realizing the importance of hierarchical habitat selection, it has become apparent that single-scale studies of animals responses to their environment may fail to adequately represent how that specific animal is responding to ecological parameter of interest, especially if they are not responding to the landscape at that scale (Holling 1992). The range of scales which an animal of interest is utilizing a landscape is important to determine prior to any further ecological investigation, as inappropriate scalar mismatch between organism and environment can lead to ambiguous or even deceptive conclusions. To do this, we compared the correlation coefficients of bird abundances for different functional groups (e.g. foraging guilds, natives vs. exotics) with vegetation cover, as a proxy for habitat, across a range of scales (from 100m to 10km). Theoretically, a unimodal (hump-shaped) relationship should exist for the correlation coefficients across a range of scales, under the assumption that vegetation cover is an adequate estimate of bird abundance. The peak of that relationship, if statistically significant, would represent the strongest correlation between habitat and bird abundance, and thus signifies the average third order selection unit for that group. A strong peak is expected for species directly dependent on vegetation for food (herbivores), a weaker peak for omnivores, and the weakest relationship for those species indirectly dependent on vegetation (insectivores). The regional distributional patterns of the varying bird functional groups was also estimated by utilizing interpolation techniques designed for avian censuses in urban systems. Exotic species were expected to be spatially aligned to the urban ecosystem, and native species tied to the desert ecosystem. Herbivores were expected to exist in higher densities were vegetation is greatest, which typically exists within the city and agricultural fields in arid ecosystems. The ongoing project (since October 2000) is documenting the abundance and distribution of birds in four habitats (51 sites): Urban (18) Desert (15) Riparian (11) and agricultural (7). The 40 non-riparian sites are a subset of the 200 CAP- LTER points. We are using point counts to survey birds four times a year (January, April, July and October). During each session each point is visited by three birders who count all birds seen or heard for 15 minutes. Our goal is to study how different land-use forms affect bird abundance, distribution and diversity in the grea... Visit https://dataone.org/datasets/knb-lter-cap.394.7 for complete metadata about this dataset.