Tempe is among Arizona's most educated cities, lending to a creative, smart atmosphere. With more than a dozen colleges, trade schools, and universities, about 40 percent of our residents over the age of 25 have Bachelor's degrees or higher. Having such an educated and accessible workforce is a driving factor in attracting and growing jobs for residents in the region.The City of Tempe is a member of the Greater Phoenix Economic Council (GPEC), and with the membership, staff tracks collaborative efforts to recruit business prospects and locations. The Greater Phoenix Economic Council (GPEC) is a performance-driven, public-private partnership. GPEC partners with the City of Tempe, Maricopa County, 22 other communities, and more than 170 private-sector investors to promote the region’s competitive position and attract quality jobs that enable strategic economic growth and provide increased tax revenue for Tempe. This dataset provides the target and actual job creation numbers for the City of Tempe and the Greater Phoenix Economic Council (GPEC). The job creation target for Tempe is calculated by multiplying GPEC's target by twice Tempe's proportion of the population. This page provides data for the New Jobs Created performance measure.The performance measure dashboard is available at 5.02 New Jobs Created. Additional Information Source:Contact: Madalaine McConvilleContact Phone: 480-350-2927Data Source Type: Excel filesPreparation Method: Extracted from GPEC monthly and annual reports and proprietary Excel filesPublish Frequency: AnnuallyPublish Method: ManualData Dictionary

A collection of geo-enabled career profiles produced by Strivven Media and managed by the Esri Schools team. For more information, email schools@eseri.com

View the diversity of challenges and opportunities across America's counties within different types of rural regions and communities. Get statistics on people, jobs, and agriculture.This record was taken from the USDA Enterprise Data Inventory that feeds into the https://data.gov catalog. Data for this record includes the following resources: Data file GIS API Services Interactive map Zip of CSV files For complete information, please visit https://data.gov.

A dataset that explores Green Card sponsorship trends, salary data, and employer insights for geographic information science (gis) in the U.S.

Dataset featuring the full-time, part-time and seasonal jobs, as well as internships posted on the City's job portal @ https://www.raleighnc.gov/jobs This dataset is updated weekdays by 9am and does not contain past (non-active) postings.

This layer considers jobs and destinations to be accessible by bike if the destinations are reachable within 30 minutes. Access to jobs and destinations within a fixed time is measured using the actual networks and not a straight line distance. Destinations include grocery stores, hospitals, community services, education centers, and other significant community areas. Jobs across the region (not just within the District) were used to provide a full picture of employment access.

PurposeThis job aid will lead the GIS analyst through the process of manually creating an incident map journal and how to create additional pages for the journal. This process should be used at the beginning of an incident and then the journal should be maintained to assure it remains viable. The incident map journal serves as a curated center to place maps, apps, and dashboards relevant to the incident.

This job aid assumes a working knowledge of how to create maps, apps, and dashboards on ArcGIS Online. For a tutorial, go to the Create apps from maps - ArcGIS Tutorial.Example workflow for the Geo-Enabled Plans Session at InSPIRE. Job Aid developed by FEMA GIS to enable GIS analysts to rapidly spin-up a standardized incident journal.

h38_349_MapaEstado_AreasAgrupadas

A dataset that explores Green Card sponsorship trends, salary data, and employer insights for forest engineering (gis) in the U.S.

This layer considers jobs and destinations to be accessible by bus if the destinations are reachable within 30 minutes. Access to jobs and destinations within a fixed time is measured using the actual networks and not a straight line distance. Destinations include grocery stores, hospitals, community services, education centers, and other significant community areas. Jobs across the region (not just within the District) were used to provide a full picture of employment access.

Source: Snapshot visualization of the estimated average number of jobs at the census block level, disaggregated from LODES data.

Purpose: Tile layer utilized for visualization.

Contact Information: Charles Rudder (crudder@citiesthatwork.com)/ Alex Bell (abell@citiesthatwork.com)

GIS Programmer Job #: 1202 Jurisdiction: CMM Division: City Planning and Community Development Department: Assessment, Tax and Utility Billing

A dataset that explores Green Card sponsorship trends, salary data, and employer insights for gis in the U.S.

This project explores the integration of Geographic Information Systems (GIS) and Natural Language Processing (NLP) to improve job–candidate matching in recruitment. Traditional AI-based e-recruitment systems often ignore geographic constraints. Our hybrid model addresses this gap by incorporating both textual similarity and spatial relevance in matching candidates to job postings.Data UsedCandidate Data (CVs)Source: Scraped from emploi.maSize: 1000 CVs after cleaningContent: Candidate names (anonymized), skills, experiences, locations (coordinates), availability, etc.Job DescriptionsSource: Publicly available dataset from KaggleSize: we took 1000 job postings using category :MoroccoContent: Titles, descriptions, required skills, sector labels, and office locations...All datasets have been cleaned and anonymized for privacy and research ethics compliance.

Source: Snapshot visualization of the number of jobs accessible within a 60 minute transit ride at the TAZ level.

Purpose: Tile layer utilized for visualization.

Contact Information: Charles Rudder (crudder@citiesthatwork.com)/ Alex Bell (abell@citiesthatwork.com)

Source: Snapshot visualization of the Jobs:Housing balance in a 30 minute bike ride at the SERPM MAZ level.

Purpose: Tile layer utilized for visualization.

Contact Information: Charles Rudder (crudder@citiesthatwork.com)/ Alex Bell (abell@citiesthatwork.com)

{"definition": "Change over 3-year period, annual averages of monthly labor reports", "availableYears": "2007-2010", "name": "Employment change rate, 2007-10", "units": "Percent", "shortName": "PctEmpChange0710", "geographicLevel": "County", "dataSources": "Bureau of Labor Statistics, Local Area Unemployment Statistics"}

© PctEmpChange0710 This layer is sourced from gis.ers.usda.gov.

Source: Snapshot visualization of the Jobs:Housing balance at the census block level.

Purpose: Tile layer utilized for visualization.

Contact Information: Charles Rudder (crudder@citiesthatwork.com)/ Alex Bell (abell@citiesthatwork.com)

This dataset represents all future planned employment areas within the region.This dataset was compiled for the Edmonton Metropolitan Region Growth Plan which came into effect on October 26, 2017.

Last Updated: N/A

Source: Snapshot visualization of all jobs accessible within 60 minutes by car at the TAZ level.

Purpose: Tile layer utilized for visualization.

Contact Information: Charles Rudder (crudder@citiesthatwork.com)/ Alex Bell (abell@citiesthatwork.com)