This dataset provides information about the number of properties, residents, and average property values for City Lights Drive cross streets in Albuquerque, NM.

U.S. Census Bureau QuickFacts statistics for Albuquerque city, New Mexico. 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.

A dataset listing New Mexico cities by population for 2024.

This dataset provides information about the number of properties, residents, and average property values for Atlantic City Avenue cross streets in Albuquerque, NM.

Geospatial data about City of Albuquerque, New Mexico Major Bike Paths. Export to CAD, GIS, PDF, CSV and access via API.

This dataset includes periodic water level exports and well construction information for CABQ landfill monitoring wells. Groundwater monitoring activities consist of groundwater sampling collection and measuring hydrologic parameters. The monitoring program provides consistent and representative data aimed at assessing the chemical water quality of Albuquerque's underground aquifer. It determines spatial and temporal trends in water quality. Approximately 170 samples are collected from Environmental Services Division wells an an annual basis. Water table elevations are also measured to track short and long term hydrologic changes.

The information gathered through the groundwater monitoring program is used to assess the groundwater resource, project future conditions of, address contamination concerns, and provide the information necessary to protect our underground aquifer. It is available and shared with local, state and federal organizations.

More information about CABQ Groundwater Monitoring can be found here: https://www.cabq.gov/environmentalhealth/landfill-groundwater-monitoring/ground-water-monitoring

The dataset includes bacteria concentrations and microbial source indicator concentrations collected by Daniel B. Stephens and Associates, Inc. on behalf of the City of Albuquerque in the Middle Rio Grande in Albuquerque, NM, in 2018. These data are a subset of data from the City of Albuquerque, 2019, FY19 MS4 Annual Report: Microbial Source Tracking Study, p. 464-621, accessed November 30, 2021 at https://documents.cabq.gov/municipal-development/city-of-albuquerque-fy19-ms4-annual-report-nmr04A014.pdf

The purpose of this data collection was to measure the validity or accuracy of four recidivism prediction instruments: the INSLAW, RAND, SFS81, and CGR scales. These scales estimate the probability that criminals will commit subsequent crimes quickly, that individuals will commit crime frequently, that inmates who are eligible for release on parole will commit subsequent crimes, and that defendants awaiting trial will commit crimes while on pretrial arrest or detention. The investigators used longitudinal data from five existing independent studies to assess the validity of the four predictive measures in question. The first data file was originally collected by the Vera Institute of Justice in New York City and was derived from an experimental evaluation of a jobs training program called the Alternative Youth Employment Strategies Project implemented in Albuquerque, New Mexico, Miami, Florida, and New York City, New York. The second file contains data from a RAND Corporation study, EFFECTS OF PRISON VERSUS PROBATION IN CALIFORNIA, 1980-1982 (ICPSR 8700), from offenders in Alameda and Los Angeles counties, California. Parts 3 through 5 pertain to serious juvenile offenders who were incarcerated during the 1960s and 1970s in three institutions of the California Youth Authority. A portion of the original data for these parts was taken from EARLY IDENTIFICATION OF THE CHRONIC OFFENDER, 1978-1980: CALIFORNIA. All files present demographic and socioeconomic variables such as birth information, race and ethnicity, education background, work and military experience, and criminal history, including involvement in criminal activities, drug addiction, and incarceration episodes. From the variables in each data file, standard variables across all data files were constructed. Constructed variables included those on background (such as drug use, arrest, conviction, employment, and education history), which were used to construct the four predictive scales, and follow-up variables concerning arrest and incarceration history. Scores on the four predictive scales were estimated.

This metadata describes three separate comma deliminated tables that contain the groundwater well elevations and construction data for 2008 and 2016. Each table has data from sources including the U.S. Geological Survey, Kirtland Air Force Base Air Force Civil Engineering Center, City of Albuquerque, and Sandia National Laboratory. Data provided include source, well name, latitude, longitude, reference elevation, screened interval (top and bottom) in feet, screened interval (top and bottom) in elevation, water level collection date, water level in feet, water-level elevation, and notes.

In 2023, around 3,640.56 violent crimes per 100,000 residents were reported in Oakland, California. This made Oakland the most dangerous city in the United States in that year. Four categories of violent crimes were used: murder and non-negligent manslaughter; forcible rape; robbery; and aggravated assault. Only cities with a population of at least 200,000 were considered.

Urban heat islands are small areas where temperatures are unnaturally high - usually due to dense buildings, expansive hard surfaces, or a lack of tree cover or greenspace. People living in these communities are exposed to more dangerous conditions, especially as daytime high and nighttime low temperatures increase over time. NOAA Climate Program Office and CAPA Strategies have partnered with cities around the United States to map urban heat islands. Using Sentinel-2 satellite thermal data along with on-the-ground sensors, air temperature and heat indexes are calculated for morning, afternoon, and evening time periods. The NOAA Visualization Lab, part of the NOAA Satellite and Information Service, has made the original heat mapping data available as dynamic image services.Dataset SummaryPhenomenon Mapped: Sensing package time step valuesUnits: decimal degrees Cell Size: 30 metersPixel Type: 32 bit floating pointData Coordinate Systems: WGS84 Mosaic Projection: WGS84 Extent: cities within the United StatesSource: NOAA and CAPA StrategiesPublication Date: September 20, 2021What can you do with this layer?This imagery layer supports communities' UHI spatial analysis and mapping capabilities. The symbology can be manually changed, or a processing template applied to the layer will provide a custom rendering. Each city can be queried.Cities IncludedBaltimore, Boise, Boston, Fort Lauderdale, Honolulu, Los Angeles, Nampa, Oakland-Berkeley, Portland, Richmond, Sacramento, San Bernardino, San Juan, Victorville, Washington, West Palm Beach, Worcester, Charleston and YonkersCities may apply to be a part of the Heat Watch program through the CAPA Strategies website. Attribute Table Informationcity_name: Albuquerque NMAfternoon air temperatures in cities

Discover the latest resources, maps and information about the coronavirus (COVID-19) outbreak in Albuquerque, NM

This is one of the upper air data sets developed for the Ice in Clouds Experiment 2007 (ICE-L 2007). This data set includes 487 high vertical resolution (1-second) Radiosonde Replacement System (RRS) soundings from the four National Weather Service (NWS) rawinsonde stations in the PLOWS 2008-2009 region (Grand Junction, CO; Boise, IA; Riverton, WY; and Salt Lake City, UT). Additionally, 245 high vertical resolution (6-second) MicroArt soundings from from Albuquerque, NM and Denver International Airport, CO NWS rawinsonde stations are included. The data cover the period from 1 November to 31 December 2007. The soundings were typically released twice a day (0000 and 1200 UTC). The data are in EOL Sounding Composite format (columnar ascii).

The Environmental Services Division conducts aquifer groundwater monitoring at approximately 130 selected wells within the Albuquerque city limits. Groundwater monitoring activities consist of groundwater sampling collection and measuring hydrologic parameters. The monitoring program provides consistent and representative data aimed at assessing the chemical water quality of Albuquerque's underground aquifer. It determines spatial and temporal trends in water quality. Approximately 170 samples are collected from Environmental Services Division wells an an annual basis. Water table elevations are also measured to track short and long term hydrologic changes.

The information gathered through the groundwater monitoring program is used to assess the groundwater resource, project future conditions of, address contamination concerns, and provide the information necessary to protect our underground aquifer. It is available and shared with local, state and federal organizations.

This application provides two different ways to explore City of Albuquerque Groundwater Level Measurements. One is a mapping application and the other is a dashboard. Select a tab on the top to switch between the two applications. All data is collected and provided by the City of Albuquerque, Environmental Health Department, Environmental Services Division. The mapping and well data presented on this page is presented for informational purposes and is provisional and has not been reviewed for completeness or accuracy. Please see the disclaimer of liability at: http://www.cabq.gov/abq-apps/abq-data-disclaimer-1

This map features new data from the US CDC, mapping Behavioral Risk Factors Data at the Census Tract level for the first time.For more info, see the CDC webpage on Chronic Disease and Health Promotion Data & Indicators: https://chronicdata.cdc.gov/health-area/behavioral-risk-factors.NMCDC has built the feature service that runs this map and made it available for sharing on your own AGOL map. It contains 27 adult behavioral risk factors for 206 census tracts in NM's four major cities (Albuquerque, Rio Rancho, Santa Fe and Las Cruces). Feature service information at - http://nmcdc.maps.arcgis.com/home/item.html?id=bd74a088596e48358b22ae76a32a2631#overview "The purpose of the 500 Cities Project is to provide city- and census tract-level small area estimates for chronic disease risk factors, health outcomes, and clinical preventive service use for the largest 500 cities in the United States. These small area estimates will allow cities and local health departments to better understand the burden and geographic distribution of health-related variables in their jurisdictions, and assist them in planning public health interventions. Learn more about the 500 Cities Project(https://www.cdc.gov/500cities/about.htm)."

This map shows all Overlay zones within the City of Albuquerque. It includes Airport Overlay zones (APO), Character Protection Overlay zones (CPO), Historic Protection Overlay Zones (HPO), and View Protection Overlay zones (VPO). For more information about the regulations associated with each Overlay zone, see Part 3-1, page 59 of the IDO. Enter your address or zoom to the property you are interested in. Click on the property for a pop-up window with more information about the IDO Zone District, the previous Zone Designation, and a link to a PDF showing the allowable uses for that zone. If you click “Layers” in the top left corner of this page, you can turn different layers on and off.The Integrated Development Ordinance (IDO) is one document that contains all of the land use and zoning regulations that relate to development in Albuquerque. This document can be accessed at: https://ido.abc-zone.com

Description: Zoning and Overlay Zones in the City of Albuquerque Updated: Data refreshed monthly Contact: abctoz@cabq.gov

This map features new data from the US CDC, mapping Behavioral Risk Factors Data and Trends at the Census Tract level.For more info, see the CDC webpage on Chronic Disease and Health Promotion Data & Indicators: https://chronicdata.cdc.gov/health-area/behavioral-risk-factors.NMCDC has built the feature service that runs this map and made it available for sharing on your own AGOL map. It contains 27 adult behavioral risk factors for 206 census tracts in NM's four major cities (Albuquerque, Rio Rancho, Santa Fe and Las Cruces). Responses can be explored for two time periods (2014 and 2017), and trends over time are also dislayed.Feature service information at - https://nmcdc.maps.arcgis.com/home/item.html?id=2a261f56deb5452982233de0f87a6dd2#overview"The purpose of the 500 Cities Project is to provide city- and census tract-level small area estimates for chronic disease risk factors, health outcomes, and clinical preventive service use for the largest 500 cities in the United States. These small area estimates will allow cities and local health departments to better understand the burden and geographic distribution of health-related variables in their jurisdictions, and assist them in planning public health interventions. Learn more about the 500 Cities Project(https://www.cdc.gov/500cities/about.htm)."