The Local Employment Dynamics (LED) Partnership is a voluntary federal-state enterprise created for the purpose of merging employee, and employer data to provide a set of enhanced labor market statistics known collectively as Quarterly Workforce Indicators (QWI). The QWI are a set of economic indicators including employment, job creation, earnings, and other measures of employment flows. For the purposes of this dataset, LED data for 2018 is aggregated to Census Summary Level 070 (State + County + County Subdivision + Place/Remainder), and joined with the Emergency Solutions Grantee (ESG) areas spatial dataset for FY2018. The Emergency Solutions Grants (ESG), formally the Emergency Shelter Grants, program is designed to identify sheltered and unsheltered homeless persons, as well as those at risk of homelessness, and provide the services necessary to help those persons quickly regain stability in permanent housing after experiencing a housing crisis and/or homelessness. The ESG is a non-competitive formula grant awarded to recipients which are state governments, large cities, urban counties, and U.S. territories. Recipients make these funds available to eligible sub-recipients, which can be either local government agencies or private nonprofit organizations. The recipient agencies and organizations, which actually run the homeless assistance projects, apply for ESG funds to the governmental grantee, and not directly to HUD. Please note that this version of the data does not include Community Planning and Development (CPD) entitlement grantees. LED data for CPD entitlement areas can be obtained from the LED for CDBG Grantee Areas feature service. To learn more about the Local Employment Dynamics (LED) Partnership visit: https://lehd.ces.census.gov/, for questions about the spatial attribution of this dataset, please reach out to us at GISHelpdesk@hud.gov. Data Dictionary: DD_LED for ESG Grantee Areas

Date of Coverage: ESG-2021/LED-2018

This dataset comes from the Biennial City of Tempe Employee Survey questions related to employee engagement. Survey respondents are asked to rate their level of agreement on a scale of 5 to 1, where 5 means "Strongly Agree" and 1 means "Strongly Disagree".This dataset includes responses to the following statements:I have received fair consideration for advancement & promotion, when available, within City of TempeI have been mentored at workThe City's programs related to professional development & career mobility, such as educational partnerships, Tempe Professional Development Network, etc., are useful to meThe following adequately support my work-related needs: City Manager's OfficeThe following adequately support my work-related needs: Strategic Management & Diversity OfficeI believe my opinions seem to countConflict in my work area is resolved effectivelyI believe exceptional job performance is recognized appropriately by managers/supervisors in my work unitThe amount that I pay for health care benefits is reasonableI think the amount I am paid is adequate for the work I doCommunication between my work unit/pision & work units/pisions OUTSIDE my department is goodEmployees in my department take personal accountability for their actions and work performance (starting in 2018 survey)Participation in the survey is voluntary and confidential.This page provides data for the Employee Engagement performance measure. The performance measure dashboard is available at 2.13 Employee Engagement.Additional InformationSource: paper and digital survey submissionsContact: Aaron PetersonContact E-Mail: Aaron_Peterson@tempe.govData Source Type: ExcelPreparation Method: NAPublish Frequency: biennialPublish Method: ManualData Dictionary

Explore this visualization to see the latest quarter's data. View metadata for key information about this dataset.This data does not necessarily represent current salaries of employees and is intended for informational purposes only. Formal requests to document salary details or other personnel information should be made through the City’s Human Resources department.This dataset shows the earnings for all City employees, including elected officials and Court staff. Data is from Calendar Year (CY) 2019 Q2 to the most recent quarter of this year. Please note that since employee counts fluctuate throughout the year, the sum of the BASE_SALARY field does not reflect the total budgeted amount. Also, when the BASE_SALARY column is blank, it represents part-time, temporary, or seasonal employees paid by the hour.For questions about this dataset, contact catherine.lamb@phila.gov. For technical assistance, email maps@phila.gov.

This layer features special areas of interest (AOIs) that have been contributed to Esri Community Maps using the new Community Maps Editor app. The data that is accepted by Esri will be included in selected Esri basemaps, including our suite of Esri Vector Basemaps, and made available through this layer to export and use offline. Export DataThe contributed data is also available for contributors and other users to export (or extract) and re-use for their own purposes. Users can export the full layer from the ArcGIS Online item details page by clicking the Export Data button and selecting one of the supported formats (e.g. shapefile, or file geodatabase (FGDB)). User can extract selected layers for an area of interest by opening in Map Viewer, clicking the Analysis button, viewing the Manage Data tools, and using the Extract Data tool. To display this data with proper symbology and metadata in ArcGIS Pro, you can download and use this layer file.Data UsageThe data contributed through the Community Maps Editor app is primarily intended for use in the Esri Basemaps. Esri staff will periodically (e.g. weekly) review the contents of the contributed data and either accept or reject the data for use in the basemaps. Accepted features will be added to the Esri basemaps in a subsequent update and will remain in the app for the contributor or others to edit over time. Rejected features will be removed from the app.Esri Community Maps Contributors and other ArcGIS Online users can download accepted features from this layer for their internal use or map publishing, subject to the terms of use below.

Data Series: Average hourly earnings of employees by sex and occupation (local currency) Indicator: I.11 - Gender gap in wages, by occupation, age and persons with disabilities Source year: 2023 This dataset is part of the Minimum Gender Dataset compiled by the United Nations Statistics Division. Domain: Economic structures, participation in productive activities and access to resources

This page provides data for the Employee View Response Rate performance measure.Employee View Response cumulative score summary per fiscal year (Performance Measure 2.24)The performance measure dashboard is available at 2.24 Employee View Response Rate.Additional InformationSource: Department reportsContact: Keith SmithContact E-Mail: keith_smith@tempe.govData Source Type: ExcelPreparation Method: ManualPublish Frequency: AnnuallyPublish Method: ManualData Dictionary

This layer shows employment data in Tucson by neighborhood, aggregated from block level data for 2019. For questions, contact GIS_IT@tucsonaz.gov. The data shown is from Esri's 2019 Updated Demographic estimates.Esri's U.S. Updated Demographic (2019/2024) Data - Population, age, income, sex, race, home value, and marital status are among the variables included in the database. Each year, Esri's Data Development team employs its proven methodologies to update more than 2,000 demographic variables for a variety of U.S. geographies.Additional Esri Resources:Esri DemographicsU.S. 2019/2024 Esri Updated DemographicsEssential demographic vocabularyPermitted use of this data is covered in the DATA section of the Esri Master Agreement (E204CW) and these supplemental terms.

This layer contains 2010-2014 American Community Survey (ACS) 5-year data, and contains estimates and margins of error. The layer shows hours worked, and those unemployed and not in labor force. This is shown by tract, county, and state boundaries. There are also additional calculated attributes related to this topic, which can be mapped or used within analysis. This layer is symbolized to show the percentage of unemployed population within the civilian labor force. To see the full list of attributes available in this service, go to the "Data" tab, and choose "Fields" at the top right. Vintage: 2010-2014ACS Table(s): B23020, B23025 Data downloaded from: Census Bureau's API for American Community Survey Date of API call: November 11, 2020National Figures: data.census.govThe United States Census Bureau's American Community Survey (ACS):About the SurveyGeography & ACSTechnical DocumentationNews & UpdatesThis ready-to-use layer can be used within ArcGIS Pro, ArcGIS Online, its configurable apps, dashboards, Story Maps, custom apps, and mobile apps. Data can also be exported for offline workflows. For more information about ACS layers, visit the FAQ. Please cite the Census and ACS when using this data.Data Note from the Census:Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability is represented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpreted as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin of error (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject to nonsampling error (for a discussion of nonsampling variability, see Accuracy of the Data). The effect of nonsampling error is not represented in these tables.Data Processing Notes:This layer has associated layers containing the most recent ACS data available by the U.S. Census Bureau. Click here to learn more about ACS data releases and click here for the associated boundaries layer. The reason this data is 5+ years different from the most recent vintage is due to the overlapping of survey years. It is recommended by the U.S. Census Bureau to compare non-overlapping datasets.Boundaries come from the US Census TIGER geodatabases. Boundary vintage (2014) appropriately matches the data vintage as specified by the Census. These are Census boundaries with water and/or coastlines clipped for cartographic purposes. For census tracts, the water cutouts are derived from a subset of the 2010 AWATER (Area Water) boundaries offered by TIGER. For state and county boundaries, the water and coastlines are derived from the coastlines of the 500k TIGER Cartographic Boundary Shapefiles. The original AWATER and ALAND fields are still available as attributes within the data table (units are square meters). The States layer contains 52 records - all US states, Washington D.C., and Puerto RicoCensus tracts with no population that occur in areas of water, such as oceans, are removed from this data service (Census Tracts beginning with 99).Percentages and derived counts, and associated margins of error, are calculated values (that can be identified by the "_calc_" stub in the field name), and abide by the specifications defined by the American Community Survey.Field alias names were created based on the Table Shells file available from the American Community Survey Summary File Documentation page.Negative values (e.g., -4444...) have been set to null, with the exception of -5555... which has been set to zero. These negative values exist in the raw API data to indicate the following situations:The margin of error column indicates that either no sample observations or too few sample observations were available to compute a standard error and thus the margin of error. A statistical test is not appropriate.Either no sample observations or too few sample observations were available to compute an estimate, or a ratio of medians cannot be calculated because one or both of the median estimates falls in the lowest interval or upper interval of an open-ended distribution.The median falls in the lowest interval of an open-ended distribution, or in the upper interval of an open-ended distribution. A statistical test is not appropriate.The estimate is controlled. A statistical test for sampling variability is not appropriate.The data for this geographic area cannot be displayed because the number of sample cases is too small.

This dataset comes from the Biennial City of Tempe Employee Survey questions related to employee support of work-related needs. Survey respondents are asked to rate their level of agreement on a scale of 5 to 1, where 5 means "Strongly Agree" and 1 means "Strongly Disagree" (without "don't know" as an option).Participation in the survey is voluntary and confidential. This page provides data for the Employee Work-Related Needs performance measure. Please note that in 2022, due to strategic transformational changes, the Strategic Management and Diversity Office was reorganized into the Strategic Management and Innovation Office and the Office of Diversity, Equity and Inclusion. The performance measure dashboard is available at 2.25 Employee Work Related Needs. Additional InformationSource: paper and digital survey submissionsContact: Wydale HolmesContact E-Mail: wydale_holmes@tempe.govData Source Type: ExcelPreparation Method: Extracted from employee survey resultsPublish Frequency: BiennialPublish Method: ManualData Dictionary

This layer features special areas of interest (AOIs) that have been contributed to Esri Community Maps using the new Community Maps Editor app. The data that is accepted by Esri will be included in selected Esri basemaps, including our suite of Esri Vector Basemaps, and made available through this layer to export and use offline. Export DataThe contributed data is also available for contributors and other users to export (or extract) and re-use for their own purposes. Users can export the full layer from the ArcGIS Online item details page by clicking the Export Data button and selecting one of the supported formats (e.g. shapefile, or file geodatabase (FGDB)). User can extract selected layers for an area of interest by opening in Map Viewer, clicking the Analysis button, viewing the Manage Data tools, and using the Extract Data tool. To display this data with proper symbology and metadata in ArcGIS Pro, you can download and use this layer file.Data UsageThe data contributed through the Community Maps Editor app is primarily intended for use in the Esri Basemaps. Esri staff will periodically (e.g. weekly) review the contents of the contributed data and either accept or reject the data for use in the basemaps. Accepted features will be added to the Esri basemaps in a subsequent update and will remain in the app for the contributor or others to edit over time. Rejected features will be removed from the app.Esri Community Maps Contributors and other ArcGIS Online users can download accepted features from this layer for their internal use or map publishing, subject to the terms of use below.

This page provides data for the Employee View Response Rate performance measure.Description of Employee View submissions.The performance measure dashboard is available at 2.24 Employee View Response Rate.Additional InformationSource: Department reportsContact: Keith SmithContact E-Mail: keith_smith@tempe.govData Source Type: ExcelPreparation Method: ManualPublish Frequency: AnnuallyPublish Method: ManualData Dictionary

This layer shows the Hong Kong Working Population by Employment Status by 18 districts in 2021. It is a subset of the 2021 Population Census made available by the Census and Statistics Department under the Government of Hong Kong Special Administrative Region (the "Government") at https://portal.csdi.gov.hk ("CSDI Portal"). The source data is in CSV format and has been processed and converted into Esri File Geodatabase format and then uploaded to Esri’s ArcGIS Online platform for sharing and reference purpose. The objectives are to facilitate our Hong Kong ArcGIS Online users to use the data in a spatial ready format and save their data conversion effort.For details about the data, source format and terms of conditions of usage, please refer to the website of CSDI Portal at https://portal.csdi.gov.hk.

Historical information about the total Employees and Businesses Dataset is a snapshot of the total number of businesses that are currently in Mesa, as well as the total number of employees that work in Mesa. Source: ESRI Community Analyst. It is important to note that in this dataset, a “Full-Time Employee (FTE)” in Mesa is someone who may not necessarily live in Mesa, however, they are employed at a business that is located in Mesa. This is a distinct difference between the “Employment” number in Mesa, which is stated in the “Employment Dataset.” Employment refers to the total number of Mesa residents that are employed, within or outside of the City of Mesa.

This web map shows the location of Racial Diversity Employment Programme (RDEP) which provide one-stop employment services to ethnic minority job seekers through a case management approach in collaboration with non-governmental organisations (NGOs) in Hong Kong. It is a set of data made available by the Labour Department under the Government of Hong Kong Special Administrative Region (the "Government") at https://portal.csdi.gov.hk ("CSDI Portal"). The source data has been processed and converted into Esri File Geodatabase format and then uploaded to Esri’s ArcGIS Online platform for sharing and reference purpose. The objectives are to facilitate our Hong Kong ArcGIS Online users to use the data in a spatial ready format and save their data conversion effort.For details about the data, source format and terms of conditions of usage, please refer to the website of Hong Kong CSDI Portal at https://portal.csdi.gov.hk.

Tract_Centroids

It is important to identify any barriers in recruitment, hiring, and employee retention practices that might discourage any segment of our population from applying for positions or continuing employment at the City of Tempe. This information will provide better awareness for outreach efforts and other strategies to attract, hire, and retain a diverse workforce.This page provides data for the Employee Vertical Diversity performance measure.The performance measure dashboard is available at 2.20 Employee Vertical Diversity.Additional InformationSource:PeopleSoft HCM, Maricopa County Labor Market Census DataContact: Lawrence LaVictoireContact E-Mail: lawrence_lavicotoire@tempe.govData Source Type: Excel, PDFPreparation Method: PeopleSoft query and PDF are moved to a pre-formatted excel spreadsheet.Publish Frequency: Every six monthsPublish Method: ManualData Dictionary

Created for CEO-ARDI and DCBA in response to a Board of Supervisors motion on workers' rights to develop a targeted outreach plan for "high need"/impacted communities.Data (mostly) from US Census ACS 5-year estimates 2023. See the Equity Explorer layer descriptions for detailed source information: https://experience.arcgis.com/experience/9d7a43397ea84ab98a534be5b5376fba/page/Layer-Details/ Data featured on the Workers' Rights Income and Employment Index Dashboard.For questions or more information please contact egis@isd.lacounty.gov.

ABOUT THE CITY OF TEMPE EMPLOYEE SURVEY REPORTS DATASETThis data set includes the results from the Tempe Employee Survey, conducted every other year, to gather input from employees about issues in six major areas: professional development and career mobility; organizational support; supervisions and working environment; compensation and benefits; employee engagement; and peer relationships. Participation in the survey is voluntary and confidential. Employees are able to complete the survey during work hours or at home, with surveys directly returned to the vendor conducting the survey.PERFORMANCE MEASURESData collected in this survey applies directly to the following Performance Measures for the City of Tempe:1. Safe & Secure Communities1.11 Feeling Safe in City Facilities2. Strong Community Connections2.13 Employee Engagement2.25 Employee Work-Related NeedsThe City of Tempe Employee Survey was first conducted in 2016 and will occur every two years.Additional InformationSource: Employee SurveyContact (author): Aaron PetersonContact E-Mail (author): aaron_peterson@tempe.govContact (maintainer): Aaron PetersonContact E-Mail (maintainer): aaron_peterson@tempe.govData Source Type: ExcelPreparation Method: NAPublish Frequency: BiennialPublish Method: ManualData Dictionary

Turnover data by fiscal year for the City of Tempe compared to the seven market cities which included Chandler, Gilbert, Glendale, Mesa, Phoenix, Peoria and Scottsdale. There are two totals, one with and one without retires.Please note that the Valley Benchmark Cities’ annual average is unavailable for FY 2020/2021 due to a gap in data collection during that year.Please note that corrections were made to the data, including historic data, due to additional review and research on the data on 10/2/2024.This page provides data for the Employee Turnover performance measure.The performance measure dashboard is available at 5.07 Employee Turnover.Additional InformationSource: Department ReportsContact: Lawrence La VictoireContact E-Mail: lawrence_lavictoire@tempe.govData Source Type: ExcelPreparation Method: Extracted from PeopleSoft and requested data from other cities is entered manually into a spreadsheet and calculations are conducted to determine percent of turnover per fiscal yearPublish Frequency:AnnuallyPublish Method: ManualData Dictionary

ABOUT THE CITY OF TEMPE EMPLOYEE SURVEY REPORTS DATASETThis data set includes the results from the Tempe Employee Survey, conducted every other year, to gather input from employees about issues in six major areas: professional development and career mobility; organizational support; supervisions and working environment; compensation and benefits; employee engagement; and peer relationships. Participation in the survey is voluntary and confidential. Employees are able to complete the survey during work hours or at home, with surveys directly returned to the vendor conducting the survey.PERFORMANCE MEASURESData collected in this survey applies directly to the following Performance Measures for the City of Tempe:1. Safe & Secure Communities1.11 Feeling Safe in City Facilities2. Strong Community Connections2.13 Employee Engagement2.25 Employee Work-Related NeedsThe City of Tempe Employee Survey was first conducted in 2016 and will occur every two years.Additional InformationSource: Employee SurveyContact (author): Aaron PetersonContact E-Mail (author): aaron_peterson@tempe.govContact (maintainer): Aaron PetersonContact E-Mail (maintainer): aaron_peterson@tempe.govData Source Type: ExcelPreparation Method: NAPublish Frequency: BiennialPublish Method: ManualData Dictionary