Geospatial data about Phoenix City Boundary. Export to CAD, GIS, PDF, CSV and access via API.

Use this layer when you just want to see dark boundaries of the City of Phoenix without a solid fill on a light background.

City of Phoenix parcel boundaries and details are shown for use to provide the best readability when used with different basemaps or aerial photos. Not intended for surveying, legal or engineering purposes. For non-commercial purposes only! This data is updated monthly.

City parcels located in Phoenix city limits.

© mapservices@phoenix.gov

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U.S. Census Bureau QuickFacts statistics for Phoenix city, Arizona. QuickFacts data are derived from: Population Estimates, American Community Survey, Census of Population and Housing, Current Population Survey, Small Area Health Insurance Estimates, Small Area Income and Poverty Estimates, State and County Housing Unit Estimates, County Business Patterns, Nonemployer Statistics, Economic Census, Survey of Business Owners, Building Permits.

This data is subject to change at any time due to personnel actions that are consistent with the City's approved Pay Plan. Employee compensation is limited to the following pay: regular wages, over time, productivity enhancement, shift differential, standby, incentive pay, allowances, and leave payouts. The data is a snapshot as of December 31st of the reported year.

Job descriptions, pay ranges, and benefits information is available at: https://www.phoenix.gov/hr/job-descriptions

Total compensation information is available at: https://www.phoenix.gov/hr/current-jobs/total-compensation-information

Employee terms by unit is available at: https://www.phoenix.gov/hr/employee-terms-by-unit

Phoenix demographic data from the American Community Survey (ACS) 1-year estimates

Geospatial data about Phoenix City Owned Parcels. Export to CAD, GIS, PDF, CSV and access via API.

About this dataset

Context

This list ranks the 90 cities in the Arizona by Non-Hispanic Black or African American population, as estimated by the United States Census Bureau. It also highlights population changes in each cities over the past five years.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 5-Year Estimates, including:

• 2019-2023 American Community Survey 5-Year Estimates
• 2018-2022 American Community Survey 5-Year Estimates
• 2017-2021 American Community Survey 5-Year Estimates
• 2016-2020 American Community Survey 5-Year Estimates
• 2015-2019 American Community Survey 5-Year Estimates

Variables / Data Columns

• Rank by Non-Hispanic Black Population: This column displays the rank of cities in the Arizona by their Non-Hispanic Black or African American population, using the most recent ACS data available.
• cities: The cities for which the rank is shown in the previous column.
• Non-Hispanic Black Population: The Non-Hispanic Black population of the cities is shown in this column.
• % of Total cities Population: This shows what percentage of the total cities population identifies as Non-Hispanic Black. Please note that the sum of all percentages may not equal one due to rounding of values.
• % of Total Arizona Non-Hispanic Black Population: This tells us how much of the entire Arizona Non-Hispanic Black population lives in that cities. Please note that the sum of all percentages may not equal one due to rounding of values.
• 5 Year Rank Trend: TThis column displays the rank trend across the last 5 years.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

The City of Phoenix (COP) zoning boundaries were digitized from a hard copy data set, by contract, in 1991. Since that time, updates to the data have been made on an ongoing basis as land is rezoned. The layer is digitized at a relatively small scale, from approximately 1:10 to 1:10,000. Changes are made when inconsistencies are found.Contact Information: zoning@phoenix.gov

City of Phoenix Street Centerlines

Street centerline for City of Phoenix.

Contact Information: str.technical.support@phoenix.gov

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).

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

Unemployment data for Phoenix, AZ from "Local Area Unemployment Statistics" provided by the U.S. Bureau of Labor Statistics.

Survey Description: Labor force and unemployment estimates for States and local areas are developed by State workforce agencies to measure local labor market conditions under a Federal-State cooperative program. The Department of Labor develops the concepts, definitions, and technical procedures which are used by State agencies for preparation of labor force and unemployment estimates.

These estimates are derived from a variety of sources, including the Current Population Survey, the Current Employment Statistics survey, the Quarterly Census of Employment and Wages, various programs at the Census Bureau, and unemployment insurance claims data from the State workforce agencies.

To establish uniform labor force concepts and definitions in all States and areas consistent with those used for the U.S. as a whole, monthly national estimates of employment and unemployment from the Current Population Survey are used as controls (benchmarks) for the State labor force statistics.

This dataset represents the network-adjusted results of relative- and absolute-gravity surveys performed from 2020 to 2023 in and near the city of Phoenix, Arizona. Relative surveys were done using a Zero Length Spring, Inc. Burris relative-gravity meter. Absolute-gravity surveys were done using a Micro-g LaCoste, Inc. A-10 absolute-gravity meter. The effect of solid Earth tides and ocean loading were removed from the data prior to network adjustment. Non-linear instrument drift was removed by evaluating gravity change during repeated measurements at one or more base stations. Vertical gradients between the relative- and absolute-gravity meters were measured at each station where both types of measurement were collected to correlate the measurements of the two instruments. Vertical gradients were measured using a relative-gravity meter and tripod set to the height of the absolute-gravity meter. Relative-gravity differences and absolute-gravity data were combined using least-squares network adjustment, as implemented in the software GSadjust (https://code.usgs.gov/sgp/gsadjust). Data are provided for 105 stations collected over 4 discrete, annual surveys.

City of Phoenix parcel boundaries and details are shown for use to provide the best readability when used with different basemaps or aerial photos. Not intended for surveying, legal or engineering purposes. For non-commercial purposes only! This data is updated monthly.

Newspapers city Phoenix, Arizona. name, publisher, image, distributor, format, political alignment, Circulation, date Ceased publication, date founded, Frequency, city Headquarters, administrative division Headquarters, country Headquarters, continent Headquarters, Country, continent, Language, Website

City-Owned parcels except Water

© City of Phoenix

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U.S. Census Bureau QuickFacts statistics for Surprise city, Arizona. QuickFacts data are derived from: Population Estimates, American Community Survey, Census of Population and Housing, Current Population Survey, Small Area Health Insurance Estimates, Small Area Income and Poverty Estimates, State and County Housing Unit Estimates, County Business Patterns, Nonemployer Statistics, Economic Census, Survey of Business Owners, Building Permits.

U.S. Census Bureau QuickFacts statistics for Maricopa city, Arizona. QuickFacts data are derived from: Population Estimates, American Community Survey, Census of Population and Housing, Current Population Survey, Small Area Health Insurance Estimates, Small Area Income and Poverty Estimates, State and County Housing Unit Estimates, County Business Patterns, Nonemployer Statistics, Economic Census, Survey of Business Owners, Building Permits.