open-data

This dataset provides base salary information about City of Norfolk employees. This data is provided by Norfolk's Department of Human Resources and is updated daily.

Budgeted Salaries by Position

Salary information for State of Vermont active employees from all branches. Generally, employees who are expected to work year-round have salaries stated as salary type "Annual." Temporary employees have salaries stated as salary type "Hourly." Legislators, who usually do not work year-round, have salaries stated as salary type "Weekly." The weekly rate reported here is the rate paid during the legislative session. Data as of the last Friday of each month. NOTE: Individuals covered by the Safe at Home Act (Title 15 Sections 1150-1160) have been excluded from this list.

This dataset is a listing of all active City of Chicago employees, complete with full names, departments, positions, employment status (part-time or full-time), frequency of hourly employee –where applicable—and annual salaries or hourly rate. Please note that "active" has a specific meaning for Human Resources purposes and will sometimes exclude employees on certain types of temporary leave. For hourly employees, the City is providing the hourly rate and frequency of hourly employees (40, 35, 20 and 10) to allow dataset users to estimate annual wages for hourly employees. Please note that annual wages will vary by employee, depending on number of hours worked and seasonal status. For information on the positions and related salaries detailed in the annual budgets, see https://www.cityofchicago.org/city/en/depts/obm.html

Data Disclosure Exemptions: Information disclosed in this dataset is subject to FOIA Exemption Act, 5 ILCS 140/7 (Link:https://www.ilga.gov/legislation/ilcs/documents/000501400K7.htm)

The Title and Salary Listing is a compilation of job titles under the jurisdiction of the Department of Civil Service.

The dataset contains the name, gender, county or city of residence (when possible), official title, total salary received during each fiscal year, base salary for the employee, and traveling and subsistence expense reimbursed to state personnel beginning with Fiscal Year 2007.

A status of "TERMINATED" in the column providing the base salary does not indicate that the employee was fired, only that the person no longer works in that position.

Data Description: This dataset lists all current City of Cincinnati employees, including full names, department, position title, full-time employee status, employee age range, employee race, and annual salary rate.

Data Creation: This data is pulled directly from the City's HR software; which centralizes all department HR actions city wide.

Data Created By: City Human Resource Information System (CHRIS)

Refresh Frequency: Daily

CincyInsights: The City of Cincinnati maintains an interactive dashboard portal, CincyInsights in addition to our Open Data in an effort to increase access and usage of city data. This data set has an associated dashboard available here: https://insights.cincinnati-oh.gov/stories/s/Employee-Profile/wjqv-hgc9/

Data Dictionary: A data dictionary providing definitions of columns and attributes is available as an attachment to this dataset.

Processing: The City of Cincinnati is committed to providing the most granular and accurate data possible. In that pursuit the Office of Performance and Data Analytics facilitates standard processing to most raw data prior to publication. Processing includes but is not limited: address verification, geocoding, decoding attributes, and addition of administrative areas (i.e. Census, neighborhoods, police districts, etc.).

Data Usage: For directions on downloading and using open data please visit our How-to Guide: https://data.cincinnati-oh.gov/dataset/Open-Data-How-To-Guide/gdr9-g3ad

Annual salary information including gross pay and overtime pay for all active, permanent employees of Montgomery County, MD paid in calendar year 2020. This information will be published annually each year.

Public authorities are required by Section 2800 of Public Authorities Law to submit annual reports to the Authorities Budget Office that include salary and compensation data. The dataset consists of salary data by employee reported by State Authorities that covers 8 fiscal years, which includes fiscal years ending in the most recently completed calendar year.

Annual salary information including gross pay and overtime pay for all active, permanent employees of Montgomery County, MD paid in calendar year 2019. This information will be published annually each year.

Salary disclosure is based on the calendar year ended December 31, 2020, while disclosure of car allowance, travel and other expenses for departments are for the fiscal year ended March 31, 2021. See "2021-Employee Lists - Guide to Disclosure_Listes d'employés - Guide de divulgation.pdf" under Attachments below for further information regarding the disclosures. / Les traitements sont présentés en fonction de l'année civile terminée le 31 décembre 2020 alors que les allocations d'automobile, les frais de déplacement et autres dépenses des ministères sont présentés pour l'exercice terminé le 31 mars 2021. Voir « 2021-Employee Lists - Guide to Disclosure_Listes d'employés - Guide de divulgation.pdf » dans les Pièces-jointes ci-dessous pour plus d'informations concernant les divulgations.

Annual salary information including gross pay and overtime pay for all active, permanent employees of Montgomery County, MD paid in calendar year 2023. This information will be published annually each year.

Annual salary information including gross pay and overtime pay for all active, permanent employees of Montgomery County, MD paid in calendar year 2021. This information will be published annually each year.

Salary disclosure is based on the calendar year ended December 31, 2022, while disclosure of car allowance, travel and other expenses for departments are for the fiscal year ended March 31, 2023. See "Employee Lists - Guide to Disclosure_Listes d'employés - Guide de divulgation.pdf" under Attachments below for further information regarding the disclosures. / Les traitements sont présentés en fonction de l'année civile terminée le 31 décembre 2022 alors que les allocations d'automobile, les frais de déplacement et autres dépenses des ministères sont présentés pour l'exercice terminé le 31 mars 2023. Voir « Employee Lists - Guide to Disclosure_Listes d'employés - Guide de divulgation.pdf » dans les Pièces-jointes ci-dessous pour plus d'informations concernant les divulgations.

Salary disclosure is based on the calendar year ended December 31, 2023, while disclosure of car allowance, travel and other expenses for departments are for the fiscal year ended March 31, 2024. See "Employee Lists - Guide to Disclosure_Listes d'employés - Guide de divulgation.pdf" under Attachments below for further information regarding the disclosures. / Les traitements sont présentés en fonction de l'année civile terminée le 31 décembre 2023 alors que les allocations d'automobile, les frais de déplacement et autres dépenses des ministères sont présentés pour l'exercice terminé le 31 mars 2024. Voir « Employee Lists - Guide to Disclosure_Listes d'employés - Guide de divulgation.pdf » dans les Pièces-jointes ci-dessous pour plus d'informations concernant les divulgations.

This is a multi-year state agency salary report. To learn more about state salaries visit the Oregon Transparency Program website. https://www.oregon.gov/transparency/Pages/index.aspx. To learn more about state jobs and salaries visit https://www.oregon.gov/das/hr/pages/index.aspx.

Public authorities are required by Section 2800 of Public Authorities Law to submit annual reports to the Authorities Budget Office that includes salary and compensation data. The dataset consists of salary data by employee reported by Local Authorities that covers 8 fiscal years, which includes fiscal years ending in the most recently completed calendar year.

Current salary steps (A Step - I Step) and unit designations for all job classifications.

Salary disclosure is based on the calendar year ended December 31, 2021, while disclosure of car allowance, travel and other expenses for departments are for the fiscal year ended March 31, 2022. See "2022-Employee Lists - Guide to Disclosure_Listes d'employés - Guide de divulgation.pdf" under Attachments below for further information regarding the disclosures. / Les traitements sont présentés en fonction de l'année civile terminée le 31 décembre 2021 alors que les allocations d'automobile, les frais de déplacement et autres dépenses des ministères sont présentés pour l'exercice terminé le 31 mars 2022. Voir « Employee Lists - Guide to Disclosure_Listes d'employés - Guide de divulgation.pdf » dans les Pièces-jointes ci-dessous pour plus d'informations concernant les divulgations.

Data Description: This dataset contains the minimum and maximum pay by hour and by annual salary for each City of Cincinnati employee position listed. It also contains the salary plan code, position grade, and date that the position was created.

Data Creation: This data is pulled directly from the City's HR software; which centralizes all department HR actions city wide.

Data Created By: City Human Resource Information System (CHRIS)

Refresh Frequency: Daily

CincyInsights: The City of Cincinnati maintains an interactive dashboard portal, CincyInsights in addition to our Open Data in an effort to increase access and usage of city data. This data set has an associated dashboard available here: https://insights.cincinnati-oh.gov/stories/s/Employee-Profile/wjqv-hgc9/

Data Dictionary: A data dictionary providing definitions of columns and attributes is available as an attachment to this dataset.

Processing: The City of Cincinnati is committed to providing the most granular and accurate data possible. In that pursuit the Office of Performance and Data Analytics facilitates standard processing to most raw data prior to publication. Processing includes but is not limited: address verification, geocoding, decoding attributes, and addition of administrative areas (i.e. Census, neighborhoods, police districts, etc.).

Data Usage: For directions on downloading and using open data please visit our How-to Guide: https://data.cincinnati-oh.gov/dataset/Open-Data-How-To-Guide/gdr9-g3ad

This dataset highlights the General Salary Schedule (GSS), Police Leadership Service (PLS) and Management Leadership Services (MLS) salary adjustments from Fiscal Year 2015 to current. The additional Salary Schedule information can be viewed at https://www.montgomerycountymd.gov/HR/compensation/Compensation.html

Annual salaries paid to employees by the Cook County Comptroller as of November 24, 2015. This dataset does not include salaries for Cook County Forest Preserves.

This dataset is no longer updated. Newer data is available at https://datacatalog.cookcountyil.gov/d/xu6t-uvny.

For 2014, see https://datacatalog.cookcountyil.gov/d/hdna-35se.

Annual salaries paid to employees by the Cook County Comptroller as of March 5, 2013. Does not include deduction for furlough or closure days for employees subject to furloughs and closures. Does not include amounts paid by other governmental entities. For 2014 salaries see https://datacatalog.cookcountyil.gov/resource/hdna-35se

This dataset contains the range of salaries of full-time city staff, by department and title, as of July, 2014.

This dataset contains information on estimated proposed salaries by position for all Cook County employees excluding the Forest Preserves of Cook County. Salaries are budgeted based on the fiscal year which is the 12 month period that begins on December 1 and ends on November 30 of the succeeding year. The Budgeted Salary does not include fringe benefits such as Medical Insurance, Dental Insurance, etc. The Budgeted Salary and position title may change throughout the fiscal year; any such changes will not be updated in this dataset.

It may be helpful to know the Job Code contained in the dataset is a unique 4-digit number assigned to each specific Job Title while the Position ID is a unique 8-digit number that identifies a position. This helps create consistency and accuracy in the dataset over time, in case of a name change or other change.

Cook County voluntarily provides this dataset as a service to the public. Cook County makes no warranty, representation, or guaranty as to the content, accuracy, timeliness, or completeness of any of the data provided at this website. Cook County shall assume no liability for: 1. any errors, omissions, or inaccuracies in the data provided at this website regardless how caused; or, 2. any decision made or action taken or not taken by anyone using or relying upon data provided at this website. Cook County assumes no liability for any virus or other damage to any computer that might occur during or as a result of accessing this website or the data provided herein.

This dataset contains average total, federal, state, and local salaries for full-time staff. In addition, this file provides the number of full-time equivalent positions in each organization, average years of experience, as well as average years of age. Data is aggregated at the state, district, and school level.

Annual salaries paid to employees by the Cook County Comptroller as of August 28, 2014. For 2015 data see https://datacatalog.cookcountyil.gov/d/9tzu-m4zi.

Public authorities are required by Section 2800 of Public Authorities Law to submit annual reports to the Authorities Budget Office that includes salary and compensation data. The dataset consists of salary data by employee reported by Local Development Corporations that covers 8 fiscal years, which includes fiscal years ending in the most recently completed calendar year.

THIS DATASET IS NO LONGER UPDATED In November 2018, the City-Parish switched to a new payroll system. This dataset contains annual salaries through 2017. For data from 2018 onward, visit https://data.brla.gov/Government/City-Parish-Employee-Annual-Salaries/g9vh-zeiw

City-Parish employees' annual salaries and other payroll related information. Information is calculated after the last payroll is run for the year specified.

Annual salary information including gross pay and overtime pay for all active, permanent employees of Montgomery County, MD paid in calendar year 2022. This information will be published annually each year.

Public authorities are required by Section 2800 of Public Authorities Law to submit annual reports to the Authorities Budget Office that includes salary and compensation data. The dataset consists of salary data by employee reported by Industrial Development Agencies that covers 8 fiscal years, which includes fiscal years ending in the most recently completed calendar year.

Annual salaries paid to employees by the Cook County Comptroller as of September 22, 2011. Does not include deduction for furlough or closure days for employees subject to furloughs and closures. Does not include amounts paid by other governmental entities. For 2014 salaries see https://datacatalog.cookcountyil.gov/resource/hdna-35se

Salaries and compensation for all employees of the County of San Mateo [Note: 2020 salaries are based on 27 pay periods due to leap year]

This data will be updated when further major updates occur, either as a result of collective bargaining or updates to the City’s overall salary structure resulting from the Job Architecture System Project.This dataset is a listing of all active City of Edmonton job code titles and salary ranges. The working title may be different.

Data Owner: Compensation and Classification, Employee Services

This dataset contains the range of salaries of full-time city staff, by department and title, as of July, 2013.

City-Parish employees' annual salaries and other payroll related information. Information is calculated after the last payroll is run for the year specified. Some fields, such as job title and department, are accurate as of the time the data was captured for Open Data BR. For example, if an employee worked for three departments throughout the year, only the department they worked for at the time we collected the data will be shown.

***In November of 2018, the City-Parish switched to a new payroll system. This data contains employee information from 2018 onward. For prior year data, please see the Legacy City-Parish Employee Annual Salaries https://data.brla.gov/Government/Legacy-City-Parish-Employee-Annual-Salaries/g5c2-myyj

The Annual Appropriation Ordinance is the final City operating budget as approved by the City Council. It reflects the City’s operating budget at the beginning of the fiscal year on January 1, 2011.This dataset displays the positions and related salaries detailed in the budget as of January 1. It is extracted from the personnel portion of the Appropriation Ordinance. The dataset presents the position titles (without names) and salaries described in the budget, but does not provide a reflection of the current city workforce with full names and salaries. Disclaimer: the “Total Budgeted Units” column displays either A) the number of employees AND vacancies associated with a given position, or B) the number of budgeted units (ie. hours/months) for that position. “Position Control” determines whether Total Budgeted Units column will count employees and vacancies or hours/months. If a Position Control is 1, then employees and vacancies are displayed; if a Position Control is 0, then the total number of hours/months recorded is displayed. Owner: Budget and Management. Frequency: Data is updated annually. For information on the current city workforce, with names, positions and salaries, visit the "Current Employee Names, Salaries, and Position Titles" dataset: http://j.mp/iutKlR.

This dataset displays the current salaries for City of Little Rock employees. Some employees are hourly. Their pay is reflected as an hourly rate.

This dataset contains the range of salaries of full-time city staff, by department and title, as of June, 2013.

This is a multi-year salary report for the Oregon Lottery. Visit the Oregon Transparency Program website for more information. https://www.oregon.gov/transparency/Pages/index.aspx. Or, visit the Oregon Lottery at https://www.oregonlottery.org/about/.

The Annual Appropriation Ordinance is the final City operating budget as approved by the City Council. It reflects the City’s operating budget at the beginning of the fiscal year on January 1, 2013.This dataset displays the positions and related salaries detailed in the budget as of January 1. It is extracted from the personnel portion of the Appropriation Ordinance. The dataset presents the position titles (without names) and salaries described in the budget, but does not provide a reflection of the current city workforce with full names and salaries. Disclaimer: the “Total Budgeted Units” column displays either A) the number of employees AND vacancies associated with a given position, or B) the number of budgeted units (ie. hours/months) for that position. “Position Control” determines whether Total Budgeted Units column will count employees and vacancies or hours/months. If a Position Control is 1, then employees and vacancies are displayed; if a Position Control is 0, then the total number of hours/months recorded is displayed. Owner: Budget and Management. Frequency: Data is updated annually. For information on the current city workforce, with names, positions and salaries, visit the "Current Employee Names, Salaries, and Position Titles" dataset: http://j.mp/iutKlR.

This Dataset indicates average salary by position title and grade for full-time regular employees. Data excludes elected, appointed, non-merit and temporary employees. Underfilled positions are also excluded from the dataset. Update Frequency : Annually

The Annual Appropriation Ordinance is the final City operating budget as approved by the City Council. It reflects the City’s operating budget at the beginning of the fiscal year on January 1, 2012.This dataset displays the positions and related salaries detailed in the budget as of January 1. It is extracted from the personnel portion of the Appropriation Ordinance. The dataset presents the position titles (without names) and salaries described in the budget, but does not provide a reflection of the current city workforce with full names and salaries. Disclaimer: the “Total Budgeted Units” column displays either A) the number of employees AND vacancies associated with a given position, or B) the number of budgeted units (ie. hours/months) for that position. “Position Control” determines whether Total Budgeted Units column will count employees and vacancies or hours/months. If a Position Control is 1, then employees and vacancies are displayed; if a Position Control is 0, then the total number of hours/months recorded is displayed. Owner: Budget and Management. Frequency: Data is updated annually. For information on the current city workforce, with names, positions and salaries, visit the "Current Employee Names, Salaries, and Position Titles" dataset: http://j.mp/iutKlR.

The Annual Appropriation Ordinance is the final City operating budget as approved by the City Council. It reflects the City’s operating budget at the beginning of the fiscal year on January 1, 2016.This dataset displays the positions and related salaries detailed in the budget as of January 1. It is extracted from the personnel portion of the Appropriation Ordinance. The dataset presents the position titles (without names) and salaries described in the budget, but does not provide a reflection of the current city workforce with full names and salaries. Disclaimer: the “Total Budgeted Units” column displays either A) the number of employees AND vacancies associated with a given position, or B) the number of budgeted units (ie. hours/months) for that position. “Position Control” determines whether Total Budgeted Units column will count employees and vacancies or hours/months. If a Position Control is 1, then employees and vacancies are displayed; if a Position Control is 0, then the total number of hours/months recorded is displayed. For information on the current city workforce, with names, positions and salaries, visit the "Current Employee Names, Salaries, and Position Titles" dataset: https://data.cityofchicago.org/id/xzkq-xp2w.

This data comes from the 2018 salary survey data. Please notethe following:

1. Where able, the data has been altered to reflect the annual pay of the average employee in this city and in this position based on the city's salary range.
2. Not all salaries and wages of less than 1 FTE could be confirmed. As a result, some salaries for positions with less than 1 FTE are either the annual equivelant or the actual pay of the employee throughout a year (ex. if an employee would make $50,000 as a full time employee but only works half-time, some cities marked this as $50,000 or $25,000.
3. Educational attainment often was provided with a minimum education and experience as well as a preferred level. The minimum of both categories are provided.

This dataset contains counts of full-time staff across 12 salary ranges. Data is aggregated at the state, district, and school level. Additionally, the data are aggregated by job classification, education level, gender, race, and experience.

The Annual Appropriation Ordinance is the final City operating budget as approved by the City Council. It reflects the City’s operating budget at the beginning of the fiscal year on January 1, 2015.This dataset displays the positions and related salaries detailed in the budget as of January 1. It is extracted from the personnel portion of the Appropriation Ordinance. The dataset presents the position titles (without names) and salaries described in the budget, but does not provide a reflection of the current city workforce with full names and salaries. Disclaimer: the “Total Budgeted Units” column displays either A) the number of employees AND vacancies associated with a given position, or B) the number of budgeted units (ie. hours/months) for that position. “Position Control” determines whether Total Budgeted Units column will count employees and vacancies or hours/months. If a Position Control is 1, then employees and vacancies are displayed; if a Position Control is 0, then the total number of hours/months recorded is displayed. Owner: Budget and Management. Frequency: Data are updated annually. For information on the current city workforce, with names, positions and salaries, visit the "Current Employee Names, Salaries, and Position Titles" dataset: https://data.cityofchicago.org/id/xzkq-xp2w.

This dataset includes recommended positions and salaries for 2013 by title (without names) and salary. The dataset is excerpted from the 2013 Budget Recommendations, which is the line-item budget proposed by the Mayor to the City Council for approval. Disclaimer: the “Total Budgeted Units” column displays either A) the number of employees AND vacancies associated with a given position, or B) the number of budgeted units (ie. hours/months) for that position. “Position Control” determines whether Total Budgeted Units column will count employees and vacancies or hours/months. If a Position Control is 1, then employees and vacancies are displayed; if a Position Control is 0, then the total number of hours/months recorded is displayed. Owner: Budget and Management. Frequency: Data is updated annually. For more information about the budget process, visit the Budget Documents page: http://j.mp/lPotWf.

The Annual Appropriation Ordinance is the final City operating budget as approved by the City Council. It reflects the City’s operating budget at the beginning of the fiscal year on January 1, 2014.This dataset displays the positions and related salaries detailed in the budget as of January 1. It is extracted from the personnel portion of the Appropriation Ordinance. The dataset presents the position titles (without names) and salaries described in the budget, but does not provide a reflection of the current city workforce with full names and salaries. Disclaimer: the “Total Budgeted Units” column displays either A) the number of employees AND vacancies associated with a given position, or B) the number of budgeted units (ie. hours/months) for that position. “Position Control” determines whether Total Budgeted Units column will count employees and vacancies or hours/months. If a Position Control is 1, then employees and vacancies are displayed; if a Position Control is 0, then the total number of hours/months recorded is displayed. Owner: Budget and Management. Frequency: Data are updated annually. For information on the current city workforce, with names, positions and salaries, visit the "Current Employee Names, Salaries, and Position Titles" dataset: https://data.cityofchicago.org/id/xzkq-xp2w.

The Annual Appropriation Ordinance is the final City operating budget as approved by the City Council. It reflects the City’s operating budget at the beginning of the fiscal year on January 1, 2022.

This dataset displays the positions and related salaries detailed in the budget as of January 1. It is extracted from the personnel portion of the Appropriation Ordinance. The dataset presents the position titles (without names) and salaries described in the budget, but does not provide a reflection of the current city workforce with full names and salaries.

Disclaimer: the “Total Budgeted Units” column displays either A) the number of employees AND vacancies associated with a given position, or B) the number of budgeted units (ie. hours/months) for that position. “Position Control” determines whether Total Budgeted Units column will count employees and vacancies or hours/months. If a Position Control is 1, then employees and vacancies are displayed; if a Position Control is 0, then the total number of hours/months recorded is displayed.

For information on the current city workforce, with names, positions and salaries, visit the "Current Employee Names, Salaries, and Position Titles" dataset: https://data.cityofchicago.org/d/xzkq-xp2w.

The Annual Appropriation Ordinance is the final City operating budget as approved by the City Council. It reflects the City’s operating budget at the beginning of the fiscal year on January 1, 2024.

This dataset displays the positions and related salaries detailed in the budget as of January 1. It is extracted from the personnel portion of the Appropriation Ordinance. The dataset presents the position titles (without names) and salaries described in the budget, but does not provide a reflection of the current city workforce with full names and salaries.

Disclaimer: the “Total Budgeted Units” column displays either A) the number of employees AND vacancies associated with a given position, or B) the number of budgeted units (ie. hours/months) for that position. “Position Control” determines whether Total Budgeted Units column will count employees and vacancies or hours/months. If a Position Control is 1, then employees and vacancies are displayed; if a Position Control is 0, then the total number of hours/months recorded is displayed.

For more information about the budget process, visit http://www.chicago.gov/budget.

For information on the current city workforce, with names, positions and salaries, visit the "Current Employee Names, Salaries, and Position Titles" dataset: https://data.cityofchicago.org/d/xzkq-xp2w.

This dataset includes recommended positions and salaries for 2014 by title (without names) and salary. The dataset is excerpted from the 2014 Budget Recommendations, which is the line-item budget proposed by the Mayor to the City Council for approval. Disclaimer: the “Total Budgeted Units” column displays either A) the number of employees AND vacancies associated with a given position, or B) the number of budgeted units (ie. hours/months) for that position. “Position Control” determines whether Total Budgeted Units column will count employees and vacancies or hours/months. If a Position Control is 1, then employees and vacancies are displayed; if a Position Control is 0, then the total number of hours/months recorded is displayed. Owner: Budget and Management. Frequency: Data is updated annually. For more information about the budget process, visit the Budget Documents page: http://j.mp/lPotWf.

State Employee Salaries by Calendar Year

Se define como la diferencia de los ingresos laborales en el trabajo principal y en el trabajo secundario, en promedio mensuales de los hombres respecto a las horas trabajadas en el trabajo principal o secundario, en promedio mensuales de las mujeres.

The Annual Appropriation Ordinance is the final City operating budget as approved by the City Council. It reflects the City’s operating budget at the beginning of the fiscal year on January 1, 2023.

This dataset displays the positions and related salaries detailed in the budget as of January 1. It is extracted from the personnel portion of the Appropriation Ordinance. The dataset presents the position titles (without names) and salaries described in the budget, but does not provide a reflection of the current city workforce with full names and salaries.

Disclaimer: the “Total Budgeted Units” column displays either A) the number of employees AND vacancies associated with a given position, or B) the number of budgeted units (ie. hours/months) for that position. “Position Control” determines whether Total Budgeted Units column will count employees and vacancies or hours/months. If a Position Control is 1, then employees and vacancies are displayed; if a Position Control is 0, then the total number of hours/months recorded is displayed.

For information on the current city workforce, with names, positions and salaries, visit the "Current Employee Names, Salaries, and Position Titles" dataset: https://data.cityofchicago.org/d/xzkq-xp2w.

Employee payroll data for all Cook County employees excluding Forest Preserves, indicating amount of base salary paid to an employee during the County fiscal quarter. Salaries are paid to employees on a bi-weekly basis. Any pay period that extended between quarters will be reported to the quarter of the Pay Period End Date. (e.g. If a Pay Period runs 02/21-03/05, that pay period would be reported in the Q2 period, as the end of the pay period falls in March - Q2)

The county fiscal quarters are: Q1: December - February Q2: March - May Q3: June - August Q4: September - November

The Employee Unique Identifier field is a unique number assigned to each employee for the purpose of this data set, that is not their internal employee ID number, and allows an employee to be identified in the data set over time, in case of a name change or other change. This number will be consistent within the data set, but we reserve the right to regenerate this number over time across the data set.

ISSUE RESOLVED: As of 4/19/2018 there was an issue regarding employee FY2016 and FY2017 payroll in which records were duplicated in the quarterly aggregation, resulting in inflated base pay amounts. Please disregard any data extracted from this dataset prior to the correction date and use this version moving forward.

KNOWN ISSUE: Several records are missing Bureau and Office information. We are working on correcting this and will update the dataset when this issue has been resolved.

For data prior to Fiscal Year 2016, see datasets at https://datacatalog.cookcountyil.gov/browse?tags=payroll

This dataset includes recommended positions and salaries for 2020 by title (without names) and salary. The dataset is excerpted from the 2020 Budget Recommendations, which is the line-item budget proposed by the Mayor to the City Council for approval. Disclaimer: the “Total Budgeted Unit” column displays either A) the number of employees AND vacancies associated with a given position, or B) the number of budgeted units (ie. hours/months) for that position. “Position Control” determines whether Total Budgeted Units column will count employees and vacancies or hours/months. If a Position Control is 1, then employees and vacancies are displayed; if a Position Control is 0, then the total number of hours/months recorded is displayed.

This dataset follows the format of the equivalent datasets from past years except that Division Code, Section Code, Subsection Code, and Position Control have changed from Number to Text (not all in the same year) in order to accommodate non-numeric values.

For more information about the budget process, visit the Budget Documents page: http://j.mp/lPotWf.

This dataset includes recommended positions and salaries for 2023 by title (without names) and salary. The dataset is excerpted from the 2023 Budget Recommendations, which is the line-item budget proposed by the Mayor to the City Council for approval. Disclaimer: the “Total Budgeted Unit” column displays either A) the number of employees AND vacancies associated with a given position, or B) the number of budgeted units (ie. hours/months) for that position. “Position Control” determines whether Total Budgeted Units column will count employees and vacancies or hours/months. If a Position Control is 1, then employees and vacancies are displayed; if a Position Control is 0, then the total number of hours/months recorded is displayed.

This dataset follows the format of the equivalent datasets from past years except that Division Code, Section Code, Subsection Code, and Position Control have changed from Number to Text (not all in the same year) in order to accommodate non-numeric values.

For more information about the budget process, visit the Budget Documents page: https://www.chicago.gov/city/en/depts/obm/provdrs/budget.html.

Salary disclosure is based on the calendar year ended December 31, 2019, while disclosure of car allowances, travel and other expenses for departments are for the fiscal year ended March 31, 2020. See "2020-Employee Lists - Guide to Disclosure_Listes d'employés - Guide de divulgation.pdf" under Attachments below for further information regarding the disclosures. / Les traitements sont présentés en fonction de l'année civile terminée le 31 décembre 2019. alors que les allocations d'automobile, les frais de déplacement et autres dépenses des ministères sont présentés pour l'exercice terminé le 31 mars 2020. Voir « 2020-Employee Lists - Guide to Disclosure_Listes d'employés - Guide de divulgation.pdf » dans les Pièces-jointes ci-dessous pour plus d'informations concernant les divulgations.

Annual salaries paid to employees by the Cook County Comptroller as of September 16, 2011. Does not include deduction for furlough or closure days for employees subject to furloughs and closures. Does not include amounts paid by other governmental entities. For 2014 salaries see https://datacatalog.cookcountyil.gov/resource/hdna-35se

General Employees Salary Schedule for Fiscal Year 2018

This dataset includes recommended positions and salaries for 2012 by title (without names) and salary. The dataset is excerpted from the 2012 Budget Recommendations, which is the line-item budget proposed by the Mayor to the City Council for approval. Disclaimer: the “Total Budgeted Units” column displays either A) the number of employees AND vacancies associated with a given position, or B) the number of budgeted units (ie. hours/months) for that position. “Position Control” determines whether Total Budgeted Units column will count employees and vacancies or hours/months. If a Position Control is 1, then employees and vacancies are displayed; if a Position Control is 0, then the total number of hours/months recorded is displayed. Owner: Budget and Management. Frequency: Data is updated annually. For more information about the budget process, visit the Budget Documents page: http://j.mp/lPotWf.

The Annual Appropriation Ordinance is the final City operating budget as approved by the City Council. It reflects the City’s operating budget at the beginning of the fiscal year on January 1, 2019.

This dataset displays the positions and related salaries detailed in the budget as of January 1. It is extracted from the personnel portion of the Appropriation Ordinance. The dataset presents the position titles (without names) and salaries described in the budget, but does not provide a reflection of the current city workforce with full names and salaries.

Disclaimer: the “Total Budgeted Units” column displays either A) the number of employees AND vacancies associated with a given position, or B) the number of budgeted units (ie. hours/months) for that position. “Position Control” determines whether Total Budgeted Units column will count employees and vacancies or hours/months. If a Position Control is 1, then employees and vacancies are displayed; if a Position Control is 0, then the total number of hours/months recorded is displayed.

For information on the current city workforce, with names, positions and salaries, visit the "Current Employee Names, Salaries, and Position Titles" dataset: https://data.cityofchicago.org/d/xzkq-xp2w.

The Annual Appropriation Ordinance is the final City operating budget as approved by the City Council. It reflects the City’s operating budget at the beginning of the fiscal year on January 1, 2018.

This dataset displays the positions and related salaries detailed in the budget as of January 1. It is extracted from the personnel portion of the Appropriation Ordinance. The dataset presents the position titles (without names) and salaries described in the budget, but does not provide a reflection of the current city workforce with full names and salaries.

Disclaimer: the “Total Budgeted Units” column displays either A) the number of employees AND vacancies associated with a given position, or B) the number of budgeted units (ie. hours/months) for that position. “Position Control” determines whether Total Budgeted Units column will count employees and vacancies or hours/months. If a Position Control is 1, then employees and vacancies are displayed; if a Position Control is 0, then the total number of hours/months recorded is displayed.

For information on the current city workforce, with names, positions and salaries, visit the "Current Employee Names, Salaries, and Position Titles" dataset: https://data.cityofchicago.org/d/xzkq-xp2w.

The Annual Appropriation Ordinance is the final City operating budget as approved by the City Council. It reflects the City’s operating budget at the beginning of the fiscal year on January 1, 2017.

This dataset displays the positions and related salaries detailed in the budget as of January 1. It is extracted from the personnel portion of the Appropriation Ordinance. The dataset presents the position titles (without names) and salaries described in the budget, but does not provide a reflection of the current city workforce with full names and salaries.

Disclaimer: the “Total Budgeted Units” column displays either A) the number of employees AND vacancies associated with a given position, or B) the number of budgeted units (ie. hours/months) for that position. “Position Control” determines whether Total Budgeted Units column will count employees and vacancies or hours/months. If a Position Control is 1, then employees and vacancies are displayed; if a Position Control is 0, then the total number of hours/months recorded is displayed.

For information on the current city workforce, with names, positions and salaries, visit the "Current Employee Names, Salaries, and Position Titles" dataset: https://data.cityofchicago.org/d/xzkq-xp2w.

The Annual Appropriation Ordinance is the final City operating budget as approved by the City Council. It reflects the City’s operating budget at the beginning of the fiscal year on January 1, 2020.

This dataset displays the positions and related salaries detailed in the budget as of January 1. It is extracted from the personnel portion of the Appropriation Ordinance. The dataset presents the position titles (without names) and salaries described in the budget, but does not provide a reflection of the current city workforce with full names and salaries.

Disclaimer: the “Total Budgeted Units” column displays either A) the number of employees AND vacancies associated with a given position, or B) the number of budgeted units (ie. hours/months) for that position. “Position Control” determines whether Total Budgeted Units column will count employees and vacancies or hours/months. If a Position Control is 1, then employees and vacancies are displayed; if a Position Control is 0, then the total number of hours/months recorded is displayed.

For information on the current city workforce, with names, positions and salaries, visit the "Current Employee Names, Salaries, and Position Titles" dataset: https://data.cityofchicago.org/d/xzkq-xp2w.

This dataset includes recommended positions and salaries for 2016 by title (without names) and salary. The dataset is excerpted from the 2016 Budget Recommendations, which is the line-item budget proposed by the Mayor to the City Council for approval. Disclaimer: the “Total Budgeted Unit” column displays either A) the number of employees AND vacancies associated with a given position, or B) the number of budgeted units (ie. hours/months) for that position. “Position Control” determines whether Total Budgeted Units column will count employees and vacancies or hours/months. If a Position Control is 1, then employees and vacancies are displayed; if a Position Control is 0, then the total number of hours/months recorded is displayed. Owner: Budget and Management. Frequency: Data are updated annually. For more information about the budget process, visit the Budget Documents page: http://j.mp/lPotWf.

This dataset includes recommended positions and salaries for 2021 by title (without names) and salary. The dataset is excerpted from the 2021 Budget Recommendations, which is the line-item budget proposed by the Mayor to the City Council for approval. Disclaimer: the “Total Budgeted Unit” column displays either A) the number of employees AND vacancies associated with a given position, or B) the number of budgeted units (ie. hours/months) for that position. “Position Control” determines whether Total Budgeted Units column will count employees and vacancies or hours/months. If a Position Control is 1, then employees and vacancies are displayed; if a Position Control is 0, then the total number of hours/months recorded is displayed.

This dataset follows the format of the equivalent datasets from past years except that Division Code, Section Code, Subsection Code, and Position Control have changed from Number to Text (not all in the same year) in order to accommodate non-numeric values.

For more information about the budget process, visit the Budget Documents page: http://j.mp/lPotWf.

This dataset includes recommended positions and salaries for 2019 by title (without names) and salary. The dataset is excerpted from the 2019 Budget Recommendations, which is the line-item budget proposed by the Mayor to the City Council for approval. Disclaimer: the “Total Budgeted Unit” column displays either A) the number of employees AND vacancies associated with a given position, or B) the number of budgeted units (ie. hours/months) for that position. “Position Control” determines whether Total Budgeted Units column will count employees and vacancies or hours/months. If a Position Control is 1, then employees and vacancies are displayed; if a Position Control is 0, then the total number of hours/months recorded is displayed.

This dataset follows the format of the equivalent datasets from past years except that Section Code and Division Code have changed from Number to Text in order to accommodate non-numeric values.

For more information about the budget process, visit the Budget Documents page: http://j.mp/lPotWf.

This dataset includes recommended positions and salaries for 2025 by title (without names) and salary. The dataset is excerpted from the 2025 Budget Recommendations, which is the line-item budget proposed by the Mayor to the City Council for approval. Disclaimer: the “Total Budgeted Unit” column displays either A) the number of employees AND vacancies associated with a given position, or B) the number of budgeted units (ie. hours/months) for that position. “Position Control” determines whether Total Budgeted Units column will count employees and vacancies or hours/months. If a Position Control is 1, then employees and vacancies are displayed; if a Position Control is 0, then the total number of hours/months recorded is displayed.

This dataset follows the format of the equivalent datasets from past years except that Division Code, Section Code, Subsection Code, and Position Control have changed from Number to Text (not all in the same year) in order to accommodate non-numeric values.

For more information about the budget process, visit the Budget Documents page: https://www.chicago.gov/city/en/depts/obm/provdrs/budget.html.

Texas public school district superintendent salary information as of October 2023.

Administrator And Teacher Salary And Benefits Charter Schools 2011

Salary rate for elected officials is determined per Charter Section 218, which states that "a Council Member's salary is equal to salary prescribed by law for judges of Municipal Court of LA Judicial District or its successor." It further stipulates that the City Controller gets 10% more than Council Member (CM), City Attorney gets 20% more than CM and the Mayor gets 30% more than CM.

All salaries as reported on Transparent California, http://transparentcalifornia.com/, for 2013

This dataset includes recommended positions and salaries for 2022 by title (without names) and salary. The dataset is excerpted from the 2022 Budget Recommendations, which is the line-item budget proposed by the Mayor to the City Council for approval. Disclaimer: the “Total Budgeted Unit” column displays either A) the number of employees AND vacancies associated with a given position, or B) the number of budgeted units (ie. hours/months) for that position. “Position Control” determines whether Total Budgeted Units column will count employees and vacancies or hours/months. If a Position Control is 1, then employees and vacancies are displayed; if a Position Control is 0, then the total number of hours/months recorded is displayed.

This dataset follows the format of the equivalent datasets from past years except that Division Code, Section Code, Subsection Code, and Position Control have changed from Number to Text (not all in the same year) in order to accommodate non-numeric values.

For more information about the budget process, visit the Budget Documents page: http://j.mp/lPotWf.

Annual salary information including gross pay and overtime pay for all active, permanent employees of Montgomery County, MD paid in calendar year 2024. This information will be published annually each year.

All salaries as reported on Transparent California, http://transparentcalifornia.com/, for 2014

All salaries as reported on Transparent California, http://transparentcalifornia.com/, for 2011

Budgeted salaries by position in Cambridge Public Schools for fiscal year 2023.

NOTE: This dataset will be incorporated into Cambridge's existing budget dataset when that dataset is updated in early summer 2022. That dataset is available at https://data.cambridgema.gov/Budget-Finance/Budget-Salaries/ixg8-tyau.

This dataset includes recommended positions and salaries for 2024 by title (without names) and salary. The dataset is excerpted from the 2024 Budget Recommendations, which is the line-item budget proposed by the Mayor to the City Council for approval. Disclaimer: the “Total Budgeted Unit” column displays either A) the number of employees AND vacancies associated with a given position, or B) the number of budgeted units (ie. hours/months) for that position. “Position Control” determines whether Total Budgeted Units column will count employees and vacancies or hours/months. If a Position Control is 1, then employees and vacancies are displayed; if a Position Control is 0, then the total number of hours/months recorded is displayed.

This dataset follows the format of the equivalent datasets from past years except that Division Code, Section Code, Subsection Code, and Position Control have changed from Number to Text (not all in the same year) in order to accommodate non-numeric values.

For more information about the budget process, visit the Budget Documents page: https://www.chicago.gov/city/en/depts/obm/provdrs/budget.html.

Berkeley payroll data as reported on Transparent California, http://transparentcalifornia.com .

This dataset includes recommended positions and salaries for 2015 by title (without names) and salary. The dataset is excerpted from the 2015 Budget Recommendations, which is the line-item budget proposed by the Mayor to the City Council for approval. Disclaimer: the “Total Budgeted Unit” column displays either A) the number of employees AND vacancies associated with a given position, or B) the number of budgeted units (ie. hours/months) for that position. “Position Control” determines whether Total Budgeted Units column will count employees and vacancies or hours/months. If a Position Control is 1, then employees and vacancies are displayed; if a Position Control is 0, then the total number of hours/months recorded is displayed. Owner: Budget and Management. Frequency: Data are updated annually. For more information about the budget process, visit the Budget Documents page: http://j.mp/lPotWf.

En este enlace encontraras información histórica de cantidad de afiliados activos por rango salarial en el Fondo Nacional del Ahorro

All salaries as reported on Transparent California, http://transparentcalifornia.com/, for 2012

Salary, educational and experience requirements collected during the 2022 City Employee Salary Survey.

The Annual Appropriation Ordinance is the final City operating budget as approved by the City Council. It reflects the City’s operating budget at the beginning of the fiscal year on January 1, 2021.

This dataset displays the positions and related salaries detailed in the budget as of January 1. It is extracted from the personnel portion of the Appropriation Ordinance. The dataset presents the position titles (without names) and salaries described in the budget, but does not provide a reflection of the current city workforce with full names and salaries.

Disclaimer: the “Total Budgeted Units” column displays either A) the number of employees AND vacancies associated with a given position, or B) the number of budgeted units (ie. hours/months) for that position. “Position Control” determines whether Total Budgeted Units column will count employees and vacancies or hours/months. If a Position Control is 1, then employees and vacancies are displayed; if a Position Control is 0, then the total number of hours/months recorded is displayed.

For information on the current city workforce, with names, positions and salaries, visit the "Current Employee Names, Salaries, and Position Titles" dataset: https://data.cityofchicago.org/d/xzkq-xp2w.

This dataset includes recommended positions and salaries for 2018 by title (without names) and salary. The dataset is excerpted from the 2018 Budget Recommendations, which is the line-item budget proposed by the Mayor to the City Council for approval. Disclaimer: the “Total Budgeted Unit” column displays either A) the number of employees AND vacancies associated with a given position, or B) the number of budgeted units (ie. hours/months) for that position. “Position Control” determines whether Total Budgeted Units column will count employees and vacancies or hours/months. If a Position Control is 1, then employees and vacancies are displayed; if a Position Control is 0, then the total number of hours/months recorded is displayed. For more information about the budget process, visit the Budget Documents page: http://j.mp/lPotWf.

This dataset includes recommended positions and salaries for 2017 by title (without names) and salary. The dataset is excerpted from the 2017 Budget Recommendations, which is the line-item budget proposed by the Mayor to the City Council for approval. Disclaimer: the “Total Budgeted Unit” column displays either A) the number of employees AND vacancies associated with a given position, or B) the number of budgeted units (ie. hours/months) for that position. “Position Control” determines whether Total Budgeted Units column will count employees and vacancies or hours/months. If a Position Control is 1, then employees and vacancies are displayed; if a Position Control is 0, then the total number of hours/months recorded is displayed. Owner: Budget and Management. Frequency: Data are updated annually. For more information about the budget process, visit the Budget Documents page: http://j.mp/lPotWf.

Administrator and teacher salary and benefits for Utah school districts in 2012.

Número de Pensionados por Colpensiones clasificados por rango salarial en escala del salario mínimo del año legal vigente.

Administrator And Teacher Salary And Benefits Charter Schools 2009

The Utah College Scorecard is an online tool, created by the United States government, for consumers to compare the cost and value of higher education institutions in the United States. It displays data in five areas: cost, graduation rate, employment rate, average amount borrowed, and loan default rate. This salary data is taken from combining US Dept of Education and the Internal Revenue Service.

The Annual Appropriation Ordinance is the final City operating budget as approved by the City Council. It reflects the City’s operating budget at the beginning of the fiscal year on January 1, 2025.

This dataset displays the positions and related salaries detailed in the budget as of January 1. It is extracted from the personnel portion of the Appropriation Ordinance. The dataset presents the position titles (without names) and salaries described in the budget, but does not provide a reflection of the current city workforce with full names and salaries.

Disclaimer: the “Total Budgeted Units” column displays either A) the number of employees AND vacancies associated with a given position, or B) the number of budgeted units (ie. hours/months) for that position. “Position Control” determines whether Total Budgeted Units column will count employees and vacancies or hours/months. If a Position Control is 1, then employees and vacancies are displayed; if a Position Control is 0, then the total number of hours/months recorded is displayed.

For more information about the budget process, visit http://www.chicago.gov/budget.

For information on the current city workforce, with names, positions and salaries, visit the "Current Employee Names, Salaries, and Position Titles" dataset: https://data.cityofchicago.org/d/xzkq-xp2w.

Public Libraries in the State of Vermont. Data from 2007 - 2012 including visitor and financial information.

Administrator And Teacher Salary And Benefits District 2011

Utah Quarterly Wages And Salaries By Major Industry 1948 1957

Administrator And Teacher Salary And Benefits District 2008

Administrator And Teacher Salary And Benefits District 2006

The average monthly salary for active Child Protective staff as of the last day of the fiscal year by staff type.

The county and region of the employees are determined by the office to which they are assigned.

More information at www.dfps.texas.gov NOTE: Child Protective Investigations (CPI), Child Care Investigations (CCI), and Child Protective Services (CPS) Staff are all included.

Child Care Investigations (CCI), which is a part of CPI and include Day Care Investigations (DCI) and Residential Child Care Investigations (RCCI) are only available from 2018 onward. This is due to the split of those job functions from Child Care Licensing, which was a part of DFPS until 2017, when it was transferred to the Health and Human Services Commission (HHSC).

This addresses Texas Human Resource Code Section 40.0516(11).

Administrator And Teacher Salary And Benefits Charter School 2010

Administrator And Teacher Salary And Benefits District 2007

Utah Quarterly Wages And Salaries By Major NAICS Industry 1998 2014

Administrator And Teacher Salary And Benefits District 2009

Administrator And Teacher Salary And Benefits District 2010

This is a list of NYC civil service title codes and descriptions used by City of New York agencies as well as if the title requires investigation before appointment.

Administrator And Teacher Salary And Benefits Charter School 2007

Data is collected because of public interest in how the City’s budget is being spent on salary and overtime pay for all municipal employees. Data is input into the City's Personnel Management System (“PMS”) by the respective user Agencies. Each record represents the following statistics for every city employee: Agency, Last Name, First Name, Middle Initial, Agency Start Date, Work Location Borough, Job Title Description, Leave Status as of the close of the FY (June 30th), Base Salary, Pay Basis, Regular Hours Paid, Regular Gross Paid, Overtime Hours worked, Total Overtime Paid, and Total Other Compensation (i.e. lump sum and/or retro payments). This data can be used to analyze how the City's financial resources are allocated and how much of the City's budget is being devoted to overtime. The reader of this data should be aware that increments of salary increases received over the course of any one fiscal year will not be reflected. All that is captured, is the employee's final base and gross salary at the end of the fiscal year. In very limited cases, a check replacement and subsequent refund may reflect both the original check as well as the re-issued check in employee pay totals.

NOTE 1: To further improve the visibility into the number of employee OT hours worked, beginning with the FY 2023 report, an updated methodology will be used which will eliminate redundant reporting of OT hours in some specific instances. In the previous calculation, hours associated with both overtime pay as well as an accompanying overtime “companion code” pay were included in the employee total even though they represented pay for the same period of time. With the updated methodology, the dollars shown on the Open Data site will continue to be inclusive of both types of overtime, but the OT hours will now reflect a singular block of time, which will result in a more representative total of employee OT hours worked. The updated methodology will primarily impact the OT hours associated with City employees in uniformed civil service titles. The updated methodology will be applied to the Open Data posting for Fiscal Year 2023 and cannot be applied to prior postings and, as a result, the reader of this data should not compare OT hours prior to the 2023 report against OT hours published starting Fiscal Year 2023. The reader of this data may continue to compare OT dollars across all published Fiscal Years on Open Data.

NOTE 2: As a part of FISA-OPA’s routine process for reviewing and releasing Citywide Payroll Data, data for some agencies (specifically NYC Police Department (NYPD) and the District Attorneys’ Offices (Manhattan, Kings, Queens, Richmond, Bronx, and Special Narcotics)) have been redacted since they are exempt from disclosure pursuant to the Freedom of Information Law, POL § 87(2)(f), on the ground that disclosure of the information could endanger the life and safety of the public servants listed thereon. They are further exempt from disclosure pursuant to POL § 87(2)(e)(iii), on the ground that any release of the information would identify confidential sources or disclose confidential information relating to a criminal investigation, and POL § 87(2)(e)(iv), on the ground that disclosure would reveal non-routine criminal investigative techniques or procedures. Some of these redactions will appear as XXX in the name columns.

Administrator And Teacher Salary And Benefits Charter Schools 2006

City employee base salary as of 12-31-2022.

Starting with 2020 data, in an effort to provide greater consumable and comparable data we're moving away from reporting individual employee earnings and instead provide base salaries as assigned per position. Due to this change this dataset cannot be directly combined with previous years' earnings data. The data represents a snapshot of salaries as of 12-31-2022 rather than actual paid amounts in 2022. Personnel spending data can be found on openbook.fcgov.com

This dataset is a listing of all current City of Chicago employees, complete with full names, departments, positions, and annual salaries. For hourly employees the annual salary is estimated. Data Owner: Human Resources. Frequency: Data is updated quarterly. For information on the positions and related salaries detailed in the annual budgets, see https://data.cityofchicago.org/browse?limitTo=datasets&q="Budget+Ordinance+-+Positions+and+Salaries"&sortBy=newest&tags=budget.

Business improvement district (BID) program/service output and expense data from FY19.

Business improvement district (BID) program/service output and expense data from FY20

Administrator And Teacher Salary And Benefits Charter Schools 2008

Administrator And Teacher Salary And Benefits Charter Schools 2012

Business improvement district (BID) program/service output and expense data from FY16

City employee base salary as of 2021-12-31.

Starting with 2020 data, in an effort to provide greater consumable and comparable data we're moving away from reporting individual employee earnings and instead provide base salaries as assigned per position. Due to this change this dataset cannot be directly combined with previous years' earnings data. The data represents a snapshot of salaries as of 2021-12-31 rather than actual paid amounts in 2021. Personnel spending data can be found on openbook.fcgov.com

These data are for the contracted position of each employee and therefore don't account for interim roles; the City of Fort Collins pay policy states that the employees in interim roles may be making up to 6% more than the reported salary.

Business improvement district (BID) program/service output and expense data from FY17

Business improvement district (BID) program/service output and expense data from FY18.

Salt Lake City MSA Occupational Projections 2012-2022

The Civil List reports the agency code (DPT), first initial and last name (NAME), agency name (ADDRESS), title code (TTL #), pay class (PC), and salary (SAL-RATE) of individuals who were employed by the City of New York at any given time during the indicated year.

Average teacher salaries by school district sourced from https://sdspending.azauditor.gov/District. Includes districts where a school is within city boundaries.

This dataset contains current job postings available on the City of New York’s official jobs site (http://www.nyc.gov/html/careers/html/search/search.shtml). Internal postings available to city employees and external postings available to the general public are included.

The County of Broome Personnel Department produces areport annually containing the Name, Title, Department,Base Earnings and Over Time Earnings of each employee who has held a position within the County anytime duringthat year.

Analysis of 2013 full-time employee earnings by gender across the major employee categories in the City of Los Angeles.

Analysis of 2015 full-time employee earnings by gender across the various Departments of the City of Los Angeles.

A List Certification includes the names of eligible candidates on an Active Civil Service List that has been established. The Certification may contain part of a list, the whole list, or multiple lists at the request of an appointing agency, to fill vacancies and/or replace provisionals. Eligible candidates on a Certification may be considered for probable appointment at the appointing Agency. For more information visit DCAS’ “Work for the City” webpage at: https://www1.nyc.gov/site/dcas/employment/take-an-exam.page

The new compensation and classification structure began in January 2025. A Compensation and Classification Modernization webpage is available for employees on RamseyNet with more information including additional benefit updates such as increased parental leave and increased floating holiday time.

Utah Quarterly Wages And Salaries By Major SIC Industry 1958 2001

Count of employees by job title, by agency, with their pay ranges.

The data file reflects data for employees who are active members in a state pension system as reported by the employer. It lists the salary eligible for pension credit for the four most recent calendar quarters reported as well as attributes that describe the status of the member for pension purposes. Additional information is in the attached dataset summary PDF (available on the [About] tab under "Attachments").

City employee base salary as of 2020-12-31.

Starting with 2020 data, in an effort to provide greater consumable and comparable data we're moving away from reporting individual employee earnings and instead provide base salaries as assigned per position. Due to this change this dataset cannot be directly combined with previous years' earnings data. The data represents a snapshot of salaries as of 2020-12-31 rather than actual paid amounts in 2020. Personnel spending data can be found on openbook.fcgov.com

These data are for the contracted position of each employee and therefore don't account for interim roles; the City of Fort Collins pay policy states that the employees in interim roles may be making up to 6% more than the reported salary.

Standard work week for salaried employees, NB / Semaine normale de travail pour les employés salariés, NB

Wages, salaries and employers' social contributions (x 1,000) / Salaires, traitements et cotisations sociales patronales (x 1 000)

Wage and classification information of City of Seattle Employees. Exclusions may apply for vulnerable populations.

Dataset that powers: http://payroll.macoupincountyil.gov/

This dataset contains data for State employees paid through the Centralized Payroll System. The data reflects payroll payments made to the employee for the calendar year through the date indicated. There are two types of records: MASTER and DETAIL. There is at least one MASTER and one DETAIL record per employee. Multiple DETAIL records for an employee will appear in the file for a specific year if the employee is paid by more than one department/agency or by more than one section during that calendar year. The sums for all of the departments/agencies appear in the columns with prefix “MASTER”. Additional information is in the attached dataset summary PDF (available on the [About] tab under "Attachments").

Sum of the full-time active positions in a title description published in alphabetical order. The Position Schedule is updated and included in the Departmental Estimates and the Supporting Schedule (updated twice a year). The minimum salary, maximum salary, mean salary and annual rate are to the dollar. This dataset is updated two times per year after publication of the Preliminary and Executive Budget, usually in January and April respectively.

THIS DATASET IS NO LONGER UPDATED In November 2018, the City-Parish switched to a new payroll system. We are in the final stages of adding employee data from the new system into Open Data BR. This data can be used to see employees as of the last day in the former payroll system.

City-Parish employees, both active and inactive, that exist in the City-Parish Payroll System.

City employee base salary as of 2024-04-17. This was updated on 2024-04-17 to include compensation of Inter-Governmental Agencies (such as Poudre Fire Authority).

Starting with 2020 data, in an effort to provide greater consumable and comparable data we're moving away from reporting individual employee earnings and instead provide base salaries as assigned per position. Due to this change this dataset cannot be directly combined with previous years' earnings data. The data represents a snapshot of salaries as of 2024-01-16 rather than actual paid amounts in 2024. Personnel spending data can be found on openbook.fcgov.com

These data are for the contracted position of each employee and therefore don't account for interim roles; the City of Fort Collins pay policy states that the employees in interim roles may be making up to 6% more than the reported salary.

The City’s compensation disclosure list includes position titles and base salary ranges as approved by Council from 2014 to present.

For more information see: Compensation disclosure list

This dataset provides annual personal income estimates for State of Iowa produced by the U.S. Bureau of Economic Analysis beginning in 1997. Data includes the following estimates: personal income, per capita personal income, wages and salaries, supplements to wages and salaries, private nonfarm earnings, compensation of employees, average compensation per job, and private nonfarm compensation.

Personal income is defined as the sum of wages and salaries, supplements to wages and salaries, proprietors’ income, dividends, interest, and rent, and personal current transfer receipts, less contributions for government social insurance. Personal income for Iowa is the income received by, or on behalf of all persons residing in Iowa, regardless of the duration of residence, except for foreign nationals employed by their home governments in Iowa. Per capita personal income is personal income divided by the Census Bureau’s annual midyear (July 1) population estimates.

Wages and salaries is defined as the remuneration receivable by employees (including corporate officers) from employers for the provision of labor services. It includes commissions, tips, and bonuses; employee gains from exercising stock options; and pay-in-kind. Judicial fees paid to jurors and witnesses are classified as wages and salaries. Wages and salaries are measured before deductions, such as social security contributions, union dues, and voluntary employee contributions to defined contribution pension plans.

Supplements to wages and salaries consists of employer contributions for government social insurance and employer contributions for employee pension and insurance funds.

Private nonfarm earnings is the sum of wages and salaries, supplements to wages and salaries, and nonfarm proprietors' income, excluding farm and government.

Compensation to employees is the total remuneration, both monetary and in kind, payable by employers to employees in return for their work during the period. It consists of wages and salaries and of supplements to wages and salaries. Compensation is presented on an accrual basis - that is, it reflects compensation liabilities incurred by the employer in a given period regardless of when the compensation is actually received by the employee.

Average compensation per job is compensation of employees divided by total full-time and part-time wage and salary employment.

Private nonfarm compensation is the sum of wages and salaries and supplements to wages and salaries, excluding farm and government.

More terms and definitions are available on https://apps.bea.gov/regional/definitions/.

Executive Recommendation for the Fiscal Year 2016 Budget Summary of Positions by Business Unit. For more information on the budget and schedule of public hearings see http://www.cookcountyil.gov/budget/

This file contains data for employees of independent authorities (NOT paid through the Centralized Payroll System). The data reflects payroll payments made to the employee for the calendar year through the date indicated. Multiple records for an employee will appear in the file for a specific year if the employee is paid by more than one authority during that calendar year. Please scroll down and click on attachment for full file description. Additional information is in the attached dataset summary PDF (available on the [About] tab under "Attachments".).

Cantidad de pensionados de Colpensiones clasificados por rango de edad, género, valor de la pensión en cantidad de salarios mínimos legales vigentes y por tipo de pensión.

Current Employment by Industry (CES) data reflect jobs by "place of work." It does not include the self-employed, unpaid family workers, and private household employees. Jobs located in the county or the metropolitan area that pay wages and salaries are counted although workers may live outside the area. Jobs are counted regardless of the number of hours worked. Individuals who hold more than one job (i.e. multiple job holders) may be counted more than once. The employment figure is an estimate of the number of jobs in the area (regardless of the place of residence of the workers) rather than a count of jobs held by the residents of the area.

This dataset provides quarterly personal income estimates for State of Iowa produced by the U.S. Bureau of Economic Analysis . Data includes the following estimates: personal income, per capita personal income, proprietors' income, farm proprietors' income, compensation of employees and private nonfarm earnings, compensation, and wages and salaries for wholesale trade. Personal income, proprietors' income, and farm proprietors' income available beginning 1997; per capita personal income available beginning 2010; and all other data beginning 1998.

Personal income is defined as the sum of wages and salaries, supplements to wages and salaries, proprietors’ income, dividends, interest, and rent, and personal current transfer receipts, less contributions for government social insurance. Personal income for Iowa is the income received by, or on behalf of all persons residing in Iowa, regardless of the duration of residence, except for foreign nationals employed by their home governments in Iowa. Per capita personal income is personal income divided by the Census Bureau’s midquarter population estimates.

Proprietors' income is the current-production income (including income in kind) of sole proprietorships, partnerships, and tax-exempt cooperatives. Corporate directors' fees are included in proprietors' income. Proprietors' income includes the interest income received by financial partnerships and the net rental real estate income of those partnerships primarily engaged in the real estate business.

Farm proprietors’ income as measured for personal income reflects returns from current production; it does not measure current cash flows. Sales out of inventories are included in current gross farm income, but they are excluded from net farm income because they represent income from a previous year’s production.

Compensation to employees is the total remuneration, both monetary and in kind, payable by employers to employees in return for their work during the period. It consists of wages and salaries and of supplements to wages and salaries. Compensation is presented on an accrual basis - that is, it reflects compensation liabilities incurred by the employer in a given period regardless of when the compensation is actually received by the employee.

Private nonfarm earnings is the sum of wages and salaries, supplements to wages and salaries, and nonfarm proprietors' income, excluding farm and government.

Private nonfarm wages and salaries is wages and salaries excluding farm and government. Wages and salaries is the remuneration receivable by employees (including corporate officers) from employers for the provision of labor services. It includes commissions, tips, and bonuses; employee gains from exercising stock options; and pay-in-kind. Judicial fees paid to jurors and witnesses are classified as wages and salaries. Wages and salaries are measured before deductions, such as social security contributions, union dues, and voluntary employee contributions to defined contribution pension plans.

More terms and definitions are available on https://apps.bea.gov/regional/definitions/.

The Quarterly Census of Employment and Wages (QCEW) program (also known as ES-202) collects employment and wage data from employers covered by New York State's Unemployment Insurance (UI) Law. This program is a cooperative program with the U.S. Bureau of Labor Statistics. QCEW data encompass approximately 97 percent of New York's nonfarm employment, providing a virtual census of employees and their wages as well as the most complete universe of employment and wage data, by industry, at the State, regional and county levels. "Covered" employment refers broadly to both private-sector employees as well as state, county, and municipal government employees insured under the New York State Unemployment Insurance (UI) Act. Federal employees are insured under separate laws, but are considered covered for the purposes of the program. Employee categories not covered by UI include some agricultural workers, railroad workers, private household workers, student workers, the self-employed, and unpaid family workers. QCEW data are similar to monthly Current Employment Statistics (CES) data in that they reflect jobs by place of work; therefore, if a person holds two jobs, he or she is counted twice. However, since the QCEW program, by definition, only measures employment covered by unemployment insurance laws, its totals will not be the same as CES employment totals due to the employee categories excluded by UI.

This dataset includes the Fiscal Year* 2014 Council-approved operating budget for Montgomery County. The dataset does not include revenues and agency budget information; each agency, such as Montgomery County Public Schools, maintain their individual budget information. The data can be sorted, filtered, and exported by the following elements: Function (grouping, such as “Public Safety”), Department, Program, Cost Center (activity within a program), Fund Type , Fund Subtype, Fund Name, Subfund Name, Personnel & Operating Expenses, Object Name, and Account Name. *The 12-month period to which the annual operating and capital budgets and their respective appropriations apply. The Montgomery County fiscal year starts on July 1st and ends on June 30th. Update Frequency: Annually

This dataset includes the Fiscal Year* 2013 Council-approved operating budget for Montgomery County. The dataset does not include revenues and agency budget information; each agency, such as Montgomery County Public Schools, maintain their individual budget information. The data can be sorted, filtered, and exported by the following elements: Function (grouping, such as “Public Safety”), Department, Program, Cost Center (activity within a program), Fund Type , Fund Subtype, Fund Name, Subfund Name, Personnel & Operating Expenses, Object Name, and Account Name.

*The 12-month period to which the annual operating and capital budgets and their respective appropriations apply. The Montgomery County fiscal year starts on July 1st and ends on June 30th.

Update Frequency: Annually

The Montgomery County Government has a diverse workforce of employees that cross five generations and multiple age, race, gender and ethnic groups. The dataset is a summary of the County's size and composition by generational category, age, race, ethnicity, gender, years of service and job class. Update Frequency : Annually

Executive Recommendation for the Fiscal Year 2017 Budget Summary of Positions by Business Unit. For more information on the budget and schedule of public hearings see http://www.cookcountyil.gov/budget/

This dataset includes the Fiscal Year* 2016 County Executive Recommended operating budget for Montgomery County. The dataset does not include revenues and detailed agency budget information (only includes agency budget information by fund); each agency, such as Montgomery County Public Schools, maintain their individual budget information. *The 12-month period to which the annual operating and capital budgets and their respective appropriations apply. The Montgomery County fiscal year starts on July 1st and ends on June 30th. Update Frequency: Annually

City employee base salary as of 2023-12-31.

Starting with 2020 data, in an effort to provide greater consumable and comparable data we're moving away from reporting individual employee earnings and instead provide base salaries as assigned per position. Due to this change this dataset cannot be directly combined with previous years' earnings data. The data represents a snapshot of salaries as of 2023-12-31 rather than actual paid amounts in 2023. Personnel spending data can be found on openbook.fcgov.com

These data are for the contracted position of each employee and therefore don't account for interim roles; the City of Fort Collins pay policy states that the employees in interim roles may be making up to 6% more than the reported salary.

This dataset includes the Fiscal Year* 2015 County Executive Recommended and County Council Approved operating budgets for Montgomery County, for comparison purposes. The dataset does not include revenues and agency budget information; each agency, such as Montgomery County Public Schools, maintain their individual budget information. The data can be sorted, filtered, and exported by the following elements: Function (grouping, such as “Public Safety”), Department, Program, Cost Center (activity within a program), Fund Type , Fund Subtype, Fund Name, Subfund Name, Personnel & Operating Expenses, Object Name, and Account Name. *The 12-month period to which the annual operating and capital budgets and their respective appropriations apply. The Montgomery County fiscal year starts on July 1st and ends on June 30th. Update Frequency: Annually

Position & Salary information for San Mateo County Job Classifications

The measurement is percent of teachers who were paid on salary steps 1-5 at OUSD schools (data from charters and private schools were not available). Salary steps are a proxy for teaching experience, as teachers move one step up the salary schedule for each year of teaching. In theory, teachers on salary steps 1-5 have between 1-5 years of teaching experience (not just in OUSD, but anywhere). However, it is important to note that salary steps are just a proxy and not always exactly equal to years of teaching experience.

Percents are then calculated at the school level by dividing the number of teachers on salary steps 1-5 by the total number of teachers at that school. Schools are placed into groups based on the racial and ethnic breakdown of their student population (see note below data table for full explanation of grouping). Average percent of teachers on salary steps 1-5 is then calculated for each group of schools.

This dataset describes total amount of tax assessed by the City of Mesa by month as well as the salary & fringe benefits of the City of Mesa employees in the collections area.

The job title, job class code, hours per pay period, number of steps, hourly step rates, and yearly step rates per job classification.

Job vacancies, payroll employees, and job vacancy rate, NB / Postes vacants, employés salariés et taux de postes vacants, NB

K-12 and higher education - expenditures, institutions, and attainment.

City-Parish employees, both active and inactive, that exist in the City-Parish Payroll System. The information includes employee current pay information, including any special pay. Special pay is earned per pay period.

***In November of 2018, the City-Parish switched to a new payroll system. This dataset contains employee information from this new system. For data prior to 2018, please see the Legacy City-Parish Employees at https://data.brla.gov/Government/Legacy-City-Parish-Employees/gyhq-w3h3

Position details for the Adopted Fiscal Year 2017 Budget Summary of Positions by Business Unit. For more information on the budget see http://www.cookcountyil.gov/budget/

This dataset contains data on transit agency employees as reported to the National Transit Database in the 2022 and 2023 report years. It is organized by agency, mode, type of service, and Employee Type (Full Time or Part Time Employee).

The NTD Data Tables organize and summarize data from the 2022 and 2023 National Transit Database in a manner that is more useful for quick reference and summary analysis

This dataset is based on the 2022 and 2023 Employees database files, which are published to the NTD at https://transit.dot.gov/ntd/ntd-data.

Only Full Reporters report data on employees, and only for Directly Operated modes. Other reporter types, and Purchased Transportation service, do not appear in this file.

This dataset contains Iowa civilian employed population estimate for individuals 16 years or older by by sex and class of worker for State of Iowa, individual Iowa counties, Iowa places and census tracts within Iowa. Data is from the American Community Survey, Five Year Estimates, Table B24080.

Sex includes the following: Both, Male, and Female.

Class of Worker includes the following: All Classes; Private-for-Profit Wage and Salary Workers; Private-for-Profit Wage and Salary Workers, Employee; Private-for-Profit Wage and Salary Workers, Self-Employed in Own INC; Private Not-for-Profit Wage and Salary Workers; Local Government Workers; State Government Workers; Federal Government Workers; Self-Employed; and Unpaid Family Workers.

FY2016 MCPS Operating Budget

Effective April 5, 2020 the City of Cincinnati is transitioning to a new temporary staffing model citywide. While every City position is vital in terms of our general operations, for the time being we are moving to a COVID-19 response and core critical service only model. In order to meet staffing needs, limit community spread and cope with other mitigating circumstances, the City implemented a Temporary Emergency Leave (TEL) process for the majority of employees deemed noncritical to providing core services or addressing the public health emergency response.

This data set is updated as changes are made to the list, usage and references to this data set should include the date and time it was pulled.

This dataset will be updated daily.

Funcionarios de carrera administrativa y provisional que actualmente labora en las diferentes secretarias y oficinas de la administración municipal / Administrative and provisional career officials who currently work in the different secretaries and offices of the municipal administration.

Fair Student Funding Budget Detail FY 2015 - Part II This detail data contains one row for each school's data and calculations displayed on the Details screen starting from the "TOTAL FAIR STUDENT FUNDING WEIGHTED REGISTER AND FORMULA" to the bottom of the page. Click Here for further information- http://schools.nyc.gov/offices/d_chanc_oper/budget/dbor/allocationmemo/fy14_15/Fair_School_Funding_FY2015.html

Industrial Development Agencies (IDA) are required by section 859 of General Municipal Law to submit annual financial statements and are required by Section 2800 of Public Authorities Law to submit annual reports to the Authorities Budget Office. The reported information includes financial assistance provided by the IDA and job creation/retention for each project receiving assistance. The dataset includes project data as reported by each IDA that covers 8 fiscal years, which includes fiscal years ending in the most recently completed calendar year.

Average wage by key and local industries in New Orleans, 2016. Wages refer to average wages, salaries, and proprietor earnings. They do not include benefits, supplements, or similar non-salary additions.

The checkbook summaries located below are copies of the Claims and Officers report presented to and approved by the County Board each meeting. This means the reports run one month behind. For example, if you are looking for January 2012 information, you would have to check the February 2012 Claims and Officers Report.

These reports have a variety of information on them. They include a monthly summary of expenses by line item, various revenue reports, salary information and beginning in December 2013, a listing of the checkbook from the General fund.

Some reports are not on file. For those months that the report can not be partially recreated a note of (Not on file) is placed after the month. If part of the report could be recreated, a note of (Partial) is placed after the month.

City employee base salary as of 2025-01-14.

The 2025 data provides base salaries for every position's compensation. The data represents a snapshot of base salaries for all employees as of 2025-01-14 for the City of Fort Collins in an hourly rate or annual salary format for 2025 rather than a forecasted amount of actual salary payments for 2025. Personnel spending data can be found on openbook.fcgov.com

The amount of tax and non-tax revenue collected and the employee costs to collect.

This dataset includes the Internal Service Fund data included in the annual operating budget. Internal Service Funds (ISF) are proprietary funds used to record activity (primarily goods and services) provided by one department to other departments of the County government on a cost-reimbursable basis. The County uses this type of fund to account for Motor Pool, Central Duplicating, Liability and Property Coverage Self-Insurance, and Employee Health Benefits Self-Insurance. Update Frequency: Annually

State employee salary, benefits and expense reimbursement information starting with fiscal year 2015. For the purpose of this report, all employees of the Department of States Attorneys and Sheriffs are included. Employees in the respective county offices , such as States Attorneys, Sheriffs and Deputy States Attorneys are County employees not State employees. To access the pay and expense data for Fiscal years 2009-2014, please see data set: Total Pay and Expenses FY2009-2014. NOTE: Individuals covered by the Safe At Home Act (Title 15 Sections 1150-1160) have been excluded from this list. 2017 Change - Temporary employees now earn sick leave per 21 V.S.A. § 487. Capping this data set at five years. Please see new data set Total Compensation and Expenses FY2020 - 2021 for the next five year set

Note this dataset is no longer being updated. Please use the updated payroll dataset with current pay year information: https://controllerdata.lacity.org/Payroll/City-Employee-Payroll-Current-/g9h8-fvhu.

Payroll information for all Los Angeles City Employees including the City's three proprietary departments: Water and Power, Airports and Harbor. Data is updated on a quarterly basis by the Los Angeles City Controller's Office. Payroll information for employees of the Department of Water and Power is provided by the Department.

This dataset includes the Fiscal Year* 2015 County Executive Recommended operating budget for Montgomery County. The dataset does not include revenues and detailed agency budget information (only includes agency budget information by fund); each agency, such as Montgomery County Public Schools, maintain their individual budget information. The data can be sorted, filtered, and exported by the following elements: Function (grouping, such as “Public Safety”), Department, Program, Cost Center (activity within a program), Fund Type , Fund Subtype, Fund Name, Subfund Name, Personnel & Operating Expenses, Object Name, and Account Name. *The 12-month period to which the annual operating and capital budgets and their respective appropriations apply. The Montgomery County fiscal year starts on July 1st and ends on June 30th. Update Frequency: Annually

Base de datos en la cual se encuentra la información básica de los servidores públicos (funcionarios de planta) de la administración municipal / Database in which the basic information of the public servants (staff officials) of the municipal administration can be found

State employee salary and expense reimbursement information for the fiscal years 2009 through 2014. Starting with fiscal year 2015, this data is in a new data set with additional benefits data, please see data set: Total Compensation and Expenses FY2015-19 and Total Compensation and Expenses FY2020- *Notes: From time to time, pay categories for reporting purposes are reviewed and adjusted. Paid leave has been re-categorized from "other pay" to "pay." Total pay is not affected.
Base pay for certain law enforcement positions includes premium pay at overtime rates for a specified number of regularly scheduled hours each pay period. Within FY13/14, categorization of this premium base pay has been reviewed and adjusted. It has been re-categorized to "pay" from "overtime." Total pay is not affected. It was adjusted back to "overtime" in Jan.2014

Certified Report of Public Employment and Compensation for as submitted by the EIN Name of “City of Bloomington”

This data is reported exactly as entered by local officials.

Use of this data must be pursuant to Indiana Code 5-14-3-3(f), thus any information, including the names and addresses of government employees, obtained by viewing, printing and/or downloading will not be used for commercial or political purposes.

The following dataset is updated nightly and pulls from the City of Bloomington Payroll records dataset.

Please keep the following in mind when viewing or visualizing the data:

Compensation is the preferred term over salaries due to the fact that almost all employees are paid hourly. The only Salaried employees are those in elected positions (Mayor, Clerk, City Council people). For historical completed years, an employee’s compensation may include items such as, but not limited to: overtime, certifications, “on call” pay, etc.

For past years, the compensation would be as reported to the IRS with an effective date of the last day of the year. All data within the current year is a predicted compensation and may not reflect what the compensation will be by the end of the year. Previous years reflect what compensation was actually earned.

The “City of Bloomington '' has a wide variety of employee types: Regular Full Time, Regular Part Time, Temporary, Seasonal, Union and Non Union employees. Temporary and Seasonal employees can have multiple jobs at different pay rates. This data set reflects a combination of all these variables and just sums the compensation into one yearly amount.

Human Resources provides daily reports of all vacant positions within the county. This dataset takes those daily reports, and appends (full joins) them to each other. The 'Report Date' column shows which days' report that record came from.

Total payroll earnings for each employee for calendar year 2019.

FY2017 MCPS Operating Budget

Annual City employee earnings for calendar-year 2017. Earnings figures are those taxed by Medicare.

This dataset cannot be directly combined with previous- or future- year earnings because it doesn't account for title changes or other job status changes. Further, the data represents paid amounts rather than stated salaries – i.e. if an employee worked March-December of a given year, the data reflects 10 months of compensation for the year.

The purpose of this Spending Disclosure FY14 dataset is to allow the public to search and view summary information on payments made to recipients (referred to as suppliers) that received $25,000 or more in a fiscal year. Note that salary and benefit payments to employees, pension payments to retirees, and any information that is confidential under State or Federal law is excluded from disclosure.

The purpose of this Spending Disclosure Fiscal Year 12 dataset is to allow the public to search and view summary information on payments made to recipients (referred to as suppliers) that received $25,000 or more in a fiscal year. Note that salary and benefit payments to employees, pension payments to retirees, and any information that is confidential under State or Federal law is excluded from disclosure.

Personal que labora en la empresa-

A list of all State of Vermont payments to vendors. The payments shown here are exclusive of direct payments to state employees for salaries, benefits, and, prior to May 2013, employee reimbursable expenses. The payments are also exclusive of any payments deemed confidential by state and/or federal statutes and rules, or the confidential nature of the recipients of certain payments, like direct program benefit payments. (Approximately 1% of all non-employee payments are excluded under these guidelines.) Payments are made through the VISION statewide financial system. Agencies and departments are responsible for entering their transactions into VISION. While VISION is the state’s principal financial system, it is not the sole financial system in use by the state. This data is not intended to be legal advice nor is it designed or intended to be relied upon as authoritative financial, investment, or professional advice. No entity affiliated with, employed by, or constituting part of the state of Vermont warrants, endorses, assures the accuracy of, or accepts liability for the content of any information on this site.

The purpose of this Spending Disclosure FY11 dataset is to allow the public to search and view summary information on payments made to recipients (referred to as suppliers) that received $25,000 or more in a fiscal year. Note that salary and benefit payments to employees, pension payments to retirees, and any information that is confidential under State or Federal law is excluded from disclosure.

The purpose of this Spending Disclosure FY13 dataset is to allow the public to search and view summary information on payments made to recipients (referred to as suppliers) that received $25,000 or more in a fiscal year. Note that salary and benefit payments to employees, pension payments to retirees, and any information that is confidential under State or Federal law is excluded from disclosure.

The EEOC collects workforce data from employers with more than 100 employees, including State and Local governments. Federal agencies use the report to develop new strategies in furtherance of EEO practices, helping jurisdictions to establish benchmarks and provide guidance in the evaluation of internal programs to ensure equal employment opportunity. The City of New York is legally mandated to submit the federal EEO-4 report every two years. The report provides a summary of a jurisdiction's workforce composition by agency function, job category, salary, race/ethnicity, and gender.

The purpose of this Spending Disclosure FY15 dataset is to allow the public to search and view summary information on payments made to recipients (referred to as suppliers) that received $25,000 or more in a fiscal year. Note that salary and benefit payments to employees, pension payments to retirees, and any information that is confidential under State or Federal law is excluded from disclosure.

"This table presents the wage gap between women in men in the same occupations within the province of New Brunswick for the years of 2014 to 2018. In Canada in 2018, the Gaps in hourly wages ranged from 8.5% in New Brunswick to 17.6% in British Columbia. The gender gap in hourly wages for Prince Edward Island was -0.1%. Provincial Hourly Wage Gaps (This will be a link) (https://www2.gnb.ca/content/dam/gnb/Departments/eco-bce/WEB-EDF/PSI/PDF-E/Provincial-Hourly-Wage-Gap-E.pdf)" / Ce tableau présente l'écart salarial entre les femmes et les hommes dans les mêmes professions au Nouveau-Brunswick pour les années 2014 à 2018. Au Canada, en 2018, les écarts dans les salaires horaires variaient de 8,5 % au Nouveau-Brunswick à 17,6 % en Colombie-Britannique. L'écart entre les sexes dans les salaires horaires à l'Île-du-Prince-Édouard était de -0,1 %.

The County of San Diego measures staffing in staff years. In concept, a staff year is one person working full-time for one year; it is equivalent to the hours per year a full-time employee is expected to work. A normal fiscal year equals 2,088 staff hours (occasionally 2,080 or 2,096 staff hours). Two workers, each working half that number of hours, together equal one staff year. County salaries and benefits are based on the number of staff years required to provide a service.

This dataset includes the County Council Approved operating budgets expenditures for Montgomery County. The data can be sorted, filtered, and exported by the following elements: Service, Department, Program, Cost Center (activity within a program), Fund Type , Expense Category, Subfund Name, Expense Type, and Account Name. Update Frequency : Annually

The State Library of Oregon collects annual service measures, financial data, and other statistics from all legally-established public libraries in the state, as per Oregon Revised Statue 357.520 (Annual report). The data reporting period matches the state fiscal year (July 1 through June 30). This dataset includes all Oregon Public Library Statistical Report data from each year starting in FY2009-2010, and is updated annually. Reporting periods are identified as the year the report was submitted (i.e., FY2009-2010 data is identified as 2010 in the Year column).

State employee salary, benefits and expense reimbursement information starting with fiscal year 2020. For the purpose of this report, all employees of the Department of States Attorneys and Sheriffs are included. Employees in the respective county offices , such as States Attorneys, Sheriffs and Deputy States Attorneys are County employees not State employees. To access the pay and expense data for Fiscal years 2009-2014, please see data set: Total Pay and Expenses FY2009-2014. To access the previous 5 years of this data set, please see: Total Compensation and Expenses FY2015-2019. NOTE: Individuals covered by the Safe At Home Act (Title 15 Sections 1150-1160) have been excluded from this list. 2017 Change - Temporary employees now earn sick leave per 21 V.S.A. § 487. NOTE: Family and Medical Leave Insurance (FMLI) in Fiscal Year 2024 was not paid for by departments. In Fiscal Year 2025 it will be paid for by departments and included in the Total Compensation and Expenses report. This data set will be capped when it reaches five fiscal years of data.

This dataset includes the Fiscal Year* 2023 County Executive Recommended operating budgets for Montgomery County. The data can be sorted, filtered, and exported by the following elements: Function (grouping, such as “Public Safety”), Department, Program, Cost Center (activity within a program), Fund Type , Subfund Name, Expense Type, Recommended Amount, and Account Name.The Montgomery County fiscal year starts on July 1st and ends on June 30th. Update Frequency: Annually

This dataset includes expenditure data reported by school districts, charter schools, and virtual schools starting with fiscal year 2009. It also includes student enrollment, demographic, and performance indicators as well as teacher salary and staffing data.

In addition to showing the overall cost per pupil, this dataset provides detail about how much districts spend in major functional areas such as administration, teaching, and maintenance. For more information about the data and how to interpret it, please visit the School Finance Dashboard.

Economically Disadvantaged was used 2015-2021. Low Income was used prior to 2015, and a different version of Low Income has been used since 2022. Please see the DESE Researcher's Guide for more information.

This dataset is one of three containing the same data that is also published in the School Finance Dashboard: District Expenditures by Spending Category District Expenditures by Function Code School Expenditures by Spending Category

List of Indicators by Category

Student EnrollmentIn-District FTE PupilsOut-of-District FTE PupilsTotal FTE PupilsStudent DemographicsStudent HeadcountLow-Income % HeadcountEnglish Learner % HeadcountStudents with Disabilities % HeadcountTeacher SalariesTeacher FTETeachers per 100 FTE StudentsAverage Teacher SalaryOther StaffInstructional Coach FTEInstructional Support FTESpecial Education Instructional Support FTEParaprofessional FTEMCAS PerformanceELA Grades 3-8 % Meets ExceedsMath Grades 3-8 % Meets ExceedsELA Grade 10 % Meets ExceedsMath Grade 10 % Meets ExceedsExpendituresAdministrationInstructional LeadershipTeachersOther Teaching ServicesProfessional DevelopmentInstructional Materials, Equipment and TechnologyGuidance, Counseling and TestingPupil ServicesOperations and MaintenanceInsurance, Retirement Programs and OtherTotal In-District ExpendituresTotal Expenditures

Annual City employee earnings for calendar-year 2019. Earnings figures are those taxed by Medicare.

This dataset cannot be directly combined with previous- or future- year earnings because it doesn't account for title changes or other job status changes. Further, the data represents paid amounts rather than stated salaries – i.e. if an employee worked March-December of a given year, the data reflects 10 months of compensation for the year.

This dataset includes the Fiscal Year* 2015 Council-approved operating budget for Montgomery County. The dataset does not include revenues and detailed agency budget information (only includes agency budget information by fund); each agency, such as Montgomery County Public Schools, maintain their individual budget information. The data can be sorted, filtered, and exported by the following elements: Function (grouping, such as “Public Safety”), Department, Program, Cost Center (activity within a program), Fund Type , Fund Subtype, Fund Name, Subfund Name, Personnel & Operating Expenses, Object Name, and Account Name. *The 12-month period to which the annual operating and capital budgets and their respective appropriations apply. The Montgomery County fiscal year starts on July 1st and ends on June 30th. Update Frequency: Annually

Sum of earnings for calendar year 2019 for each job class by employee.

This dataset provides annual personal income estimates for State of Iowa counties produced by the U.S. Bureau of Economic Analysis beginning in 1997. Data includes the following estimates: personal income and per capita personal income.

Personal income is defined as the sum of wages and salaries, supplements to wages and salaries, proprietors’ income, dividends, interest, and rent, and personal current transfer receipts, less contributions for government social insurance. Personal income is the income received by, or on behalf of all persons residing in the Iowa county, regardless of the duration of residence, except for foreign nationals employed by their home governments in Iowa. Per capita personal income is personal income divided by the Census Bureau’s annual midyear (July 1) population estimates for the county.

More terms and definitions are available on https://apps.bea.gov/regional/definitions/. Less

This dataset contains a list of all Montgomery County job classifications, grades and specifications. The Classification Plan table can be viewed at https://www2.montgomerycountymd.gov/OHRClassification/jobclass.aspx Update Frequency : Annually

This dataset details operating expenses for each applicable agency, mode, and type of service (TOS), split by expense type or "Object Class" reporting to the National Transit Database in the 2022 and 2023 report years.. Object classes include salaries and wages, fuel, and others.

Only Full Reporters report expenses by function and type. Expenses from other reporter types are included under Reduced Reporter Expenses.

NTD Data Tables organize and summarize data from the 2022 and 2023 National Transit Database in a manner that is more useful for quick reference and summary analysis. This dataset is based on the 2022 and 2023 Operating Expenses database files.

In years 2015-2021, you can find this data in the "Operating Expenses" data table on NTD Program website, at https://transit.dot.gov/ntd/ntd-data.

If you have any other questions about this table, please contact the NTD Help Desk at NTDHelp@dot.gov.

Workforce summary - employed, unemployed, and average wages.

Average Annual Wages By Degree And Discipline 2011. Data is from the Utah System of Higher Education.

This dataset contains school-level expenditures reported by major functional spending category starting with fiscal year 2019. It also includes school-level enrollment, demographic, and performance indicators as well as teacher salary and staffing data.

The dataset shows school-level per pupil expenditures by major functional expenditure categories and funding sources, including state and local funds (general fund and state grants) and federal funds.

School districts only report instructional expenditures by school. This report attributes other costs to each school on a per pupil basis to show a full resource picture. The three cost centers are: Non-instructional per pupil spending reported at the school district level;Instructional per pupil spending reported at the district level; andInstructional per pupil spending reported at the school levelEconomically Disadvantaged was used 2015-2021. Low Income was used prior to 2015, and a different version of Low Income has been used since 2022. Please see the DESE Researcher's Guide for more information.

This dataset is one of three containing the same data that is also published in the School Finance Dashboard: District Expenditures by Spending Category District Expenditures by Function Code School Expenditures by Spending Category

List of Indicators by Category

Student EnrollmentIn-District FTE PupilsOut-of-District FTE PupilsTotal FTE PupilsStudent DemographicsStudent HeadcountLow-Income % HeadcountEnglish Learner % HeadcountStudents with Disabilities % HeadcountTeacher SalariesTeacher FTETeachers per 100 FTE StudentsAverage Teacher SalaryOther StaffInstructional Coach FTEInstructional Support FTESpecial Education Instructional Support FTEParaprofessional FTEMCAS PerformanceELA Grades 3-8 % Meets ExceedsMath Grades 3-8 % Meets ExceedsELA Grade 10 % Meets ExceedsMath Grade 10 % Meets ExceedsDistrict-Level FTE PupilsDistrict-Level State and Local Non-Instructional ExpendituresAdministrationBenefits and Fixed CostsOperations and MaintenancePupil ServicesDistrict-Level Federal Non-Instructional ExpendituresAdministrationBenefits and Fixed CostsOperations and MaintenancePupil ServicesSub-total ADistrict-Level State and Local Instructional ExpendituresGuidance and Psychological ServicesInstructional LeadersInstructional MaterialsOther Teaching ServicesProfessional DevelopmentTeachersDistrict-Level Federal Instructional ExpendituresGuidance and Psychological ServicesInstructional LeadersInstructional MaterialsOther Teaching ServicesProfessional DevelopmentTeachersSub-total BSchool-Level State and Local Instructional ExpendituresGuidance and Psychological Services<li

Annual City employee earnings for calendar-year 2018. Earnings figures are those taxed by Medicare.

This dataset cannot be directly combined with previous- or future- year earnings because it doesn't account for title changes or other job status changes. Further, the data represents paid amounts rather than stated salaries – i.e. if an employee worked March-December of a given year, the data reflects 10 months of compensation for the year.

Workforce summary - employment, unemployment, participation rates, earnings, establishments. Data is updated and various times and is used to power the Dept. of Commerce Data Explorer Dashboard.

This dataset includes the Board of Commissioners-approved operating budget for Fulton County for the four most recent fiscal years. Also included are actual expenditures. The budget and expenditures are given at the level of the object, which represents a specific type of spending such as salaries, printing, office supplies, professional services, etc. within each program of each department. The data can be sorted, filtered and grouped by fiscal year, fund, department, program (unit) and object.

The dataset consists of closed compliance evaluations and compliant investigations, conducted by the OFCCP, since FY 2004. This data provides information on the OFCCP's efforts to enforce the EEO-mandated laws and regulations within the Federal Contractor Community (those companies which have been provided government contracts).

This data is drawn from Vermont's submissions to the Public Library Survey, administered by the Institute of Museum and Library Services (IMLS). The survey is intended to capture a statistical "year in the life" of a public library, and is intended to be filled out by every library in the country every year.

This data set contains Direct Instructional Expenditures per FTE by school in Utah from 2000-2015. Direct instructional costs include the direct costs of having a teacher in front of the class. These costs generally are limited to the faculty member’s salary and benefits and instructional equipment and supplies. For an entire institution, it may include salaries and benefits for staff who support the delivery of the instruction. All of these calculations are made using appropriated funds – the General Fund, Education Fund, and Dedicated Credits (tuition) that the Legislature approves and all funds, which includes the appropriated funds as well as grants, contracts, gifts, and investment income. The difference between the appropriated funds and all funds can be significant, depending on the institution and its mission.

This dataset contains pension benefit data for retired employees paid through a State retirement system. The data reflects year-to-date payments and the monthly allowances for each pensioner during the time period noted. Additional information is in the attached dataset summary PDF (available on the [About] tab under "Attachments".).

Total employee compensation by municipality for 2015. A note of caution: A municipality can update information at any time after submission of a form. The Municipal Statistics site is built to reflect any data updates, the following day, in the Public Reports section of the Municipal Statistics site. http://munstats.pa.gov/public/

Affordable Housing - This indicator shows the percentage of housing units sold that are affordable on the median teacher’s salary. Affordable housing can improve health by providing greater stability and reducing stress. Having affordable housing can allow family resources to be used for other needs like healthy food and healthcare. Link to Data Details

Number of Staff Positions and School Personnel Costs, based on 2013-2014 school year.

The Occupational Employment and Wage Statistics (OEWS) survey is a semiannual mail survey of employers that measures occupational employment and occupational wage rates for wage and salary workers in nonfarm establishments, by industry. OEWS estimates are constructed from a sample of about 41,400 establishments. Each year, forms are mailed to two semiannual panels of approximately 6,900 sampled establishments, one panel in May and the other in November.

Base de datos en la cual se encuentra la información básica de los servidores públicos (funcionarios de planta) de la administración municipal / Database in which the basic information of the public servants (staff officials) of the municipal administration can be found

Sound recording and music publishing, summary statistics, Atlantic / Enregistrement sonore et édition musicale, statistiques sommaires, Atlantique

City of Austin current budget fiscal year Operating Budget showing budget versus expenditures. This budget is at the Fund, Department, Unit level. This data set includes a build date and will be updated on a quarterly basis. The data contained in this data set is for informational purposes. Certain Austin Energy budget items have been excluded as competitive matters under Texas Government Code Section 552.133 and City Council Resolution 20051201-002.

The comparison of actual expenditures to budget may appear inconsistent. That is because base wages for personnel are fully budgeted in the expense categories regular wages—full-time, regular wages—part-time or regular wages—civil service. The budget does not assume expenditure levels for the various leave categories, such as sick pay, vacation pay, or jury leave. However, actual expenses for various leave categories are recorded based on timesheet coding. The result is that actual expenditures for regular wages are spread across multiple expense categories while the budget is shown in one expense category.

Personnel savings is budgeted to account for the likely savings in personnel costs generated through attrition. However, the savings is realized in the expense categories regular wages—full-time, regular wages—part-time and regular wages—civil service. Therefore, the actual expenditures in the personnel savings expense category will always be zero.

Annual employee position earnings from 2013 through 2019. Column TOTAL EARNINGS contains the annual total earnings. The other columns contain the detail earnings by payment type.

Annual City employee earnings for calendar-year 2016. Earnings figures are those taxed by Medicare.

This dataset cannot be directly combined with previous- or future- year earnings because it doesn't account for title changes or other job status changes. Further, the data represents paid amounts rather than stated salaries – i.e. if an employee worked March-December of a given year, the data reflects 10 months of compensation for the year.

All Data Items – Files containing data for all items on the F-33 survey form, as well as unit identifiers, descriptive variables, and summary data items. Each file contains data for all school systems.

Annual City employee earnings for calendar-year 2010. Earnings figures are those taxed by Medicare.

This dataset cannot be directly combined with previous- or future- year earnings because it doesn't account for title changes or other job status changes. Further, the data represents paid amounts rather than stated salaries – i.e. if an employee worked March-December of a given year, the data reflects 10 months of compensation for the year.

Annual City employee earnings for calendar-year 2014. Earnings figures are those taxed by Medicare.

This dataset cannot be directly combined with previous- or future- year earnings because it doesn't account for title changes or other job status changes. Further, the data represents paid amounts rather than stated salaries – i.e. if an employee worked March-December of a given year, the data reflects 10 months of compensation for the year.

This budget overview represents the New York City Fair Student Formula school budget allocation from July 2014 - June 2015. Click Here for further information- http://schools.nyc.gov/offices/d_chanc_oper/budget/dbor/allocationmemo/fy14_15/Fair_School_Funding_FY2015.html

Human Resources Statistics from the City of Franklin, Tennessee

This dataset details operating expenses for each applicable agency, mode, and type of service (TOS), split by expense type reporting to the National Transit Database in the 2022 and 2023 report years. Expense types include Vehicle Operations, General Administration, and more.

Only Full Reporters report expenses by function and type. Expenses from other reporter types are included under Reduced Reporter Expenses.

NTD Data Tables organize and summarize data from the 2022 and 2023 National Transit Database in a manner that is more useful for quick reference and summary analysis. This dataset is based on the 2022 and 2023 Operating Expenses database files.

In years 2015-2021, you can find this data in the "Operating Expenses" data table on NTD Program website, at https://transit.dot.gov/ntd/ntd-data.

If you have any other questions about this table, please contact the NTD Help Desk at NTDHelp@dot.gov.

Annual City employee earnings for calendar-year 2012. Earnings figures are those taxed by Medicare.

This dataset cannot be directly combined with previous- or future- year earnings because it doesn't account for title changes or other job status changes. Further, the data represents paid amounts rather than stated salaries – i.e. if an employee worked March-December of a given year, the data reflects 10 months of compensation for the year.

DIRECTORIO DE FUNCIONARIOS Y CONTRATISTAS ALCALDIA JENESANO

Salary disclosure is based on the calendar year ended December 31, 2020, while disclosure of constituency office expenses, car allowances, travel and other expenses are for the fiscal year ended March 31, 2021. See "2021-Employee Lists - Guide to Disclosure_Listes d'employés - Guide de divulgation.pdf" under Attachments below for further information regarding the disclosures. / Les traitements sont présentés en fonction de l'année civile terminée le 31 décembre 2020, tandis que la divulgation des dépenses de bureau de circonscription, les allocations d'automobile, les frais de déplacement et autres dépenses sont présentés pour l'exercice terminé le 31 mars 2021. Voir « 2021-Employee Lists - Guide to Disclosure_Listes d'employés - Guide de divulgation.pdf » dans les Pièces-jointes ci dessous pour plus d'informations concernant les divulgations.

Salary disclosure is based on the calendar year ended December 31, 2022, while disclosure of constituency office expenses, car allowances, travel and other expenses are for the fiscal year ended March 31, 2023. See "Employee Lists - Guide to Disclosure_Listes d'employées - Guide de divulgation.pdf" under Attachments below for further information regarding the disclosures. / Les traitements sont présentés en fonction de l'année civile terminée le 31 décembre 2022, tandis que la divulgation des dépenses de bureau de circonscription, les allocations d'automobile, les frais de déplacement et autres dépenses sont présentés pour l'exercice terminé le 31 mars 2023. Voir « Employee Lists - Guide to Disclosure_Listes d'employées - Guide de divulgation.pdf » dans les Pièces-jointes ci dessous pour plus d'informations concernant les divulgations.

Diversity in the ACTPS workforce from June 2012

The ACTPS continues to encourage voluntary disclosure by employees. Diversity percentages are based on total ACTPS headcount which assumes that all respondents do not identify as one or more of the diversity groups, which is likely to result in under-reporting of the actual proportion of diversity groups in the ACTPS.
Diversity statistics are also provided in Annual Reports and monitored through the ACTPS Respect, Equity and Diversity Framework. Workforce data in this section has been presented in a way that protects the identity of individual employees.

Note on Averages: Salary averages here are inclusive of part-time and casual employees.

Please see the attached document for additional notes.

[State of the Service 2012]

Annual City employee earnings for calendar-year 2011. Earnings figures are those taxed by Medicare.

This dataset cannot be directly combined with previous- or future- year earnings because it doesn't account for title changes or other job status changes. Further, the data represents paid amounts rather than stated salaries – i.e. if an employee worked March-December of a given year, the data reflects 10 months of compensation for the year.

Annual City employee earnings for calendar-year 2013. Earnings figures are those taxed by Medicare.

This dataset cannot be directly combined with previous- or future- year earnings because it doesn't account for title changes or other job status changes. Further, the data represents paid amounts rather than stated salaries – i.e. if an employee worked March-December of a given year, the data reflects 10 months of compensation for the year.

Annual City employee earnings for calendar-year 2015. Earnings figures are those taxed by Medicare.

This dataset cannot be directly combined with previous- or future- year earnings because it doesn't account for title changes or other job status changes. Further, the data represents paid amounts rather than stated salaries – i.e. if an employee worked March-December of a given year, the data reflects 10 months of compensation for the year.

Salary disclosure is based on the calendar year ended December 31, 2021, while disclosure of constituency office expenses, car allowances, travel and other expenses are for the fiscal year ended March 31, 2022. See "Employee Lists - Guide to Disclosure_Listes d'employées - Guide de divulgation.pdf" under Attachments below for further information regarding the disclosures. / Les traitements sont présentés en fonction de l'année civile terminée le 31 décembre 2021, tandis que la divulgation des dépenses de bureau de circonscription, les allocations d'automobile, les frais de déplacement et autres dépenses sont présentés pour l'exercice terminé le 31 mars 2022. Voir « Employee Lists - Guide to Disclosure_Listes d'employées - Guide de divulgation.pdf » dans les Pièces-jointes ci dessous pour plus d'informations concernant les divulgations.

Monthly estimates of labor force, employment and unemployment by county for the seven county metro area.

This dataset includes the County Council Approved operating budgets expenditures for Montgomery County. The data can be sorted, filtered, and exported by the following elements: Service, Department, Program, Cost Center (activity within a program), Fund Type , Expense Category, Subfund Name, Expense Type, and Account Name. Update Frequency : Annually

Funcionarios de carrera administrativa y provisional que actualmente labora en las diferentes secretarias y oficinas de la administración municipal.

Financial Assistance Services expenditures broken out by service area and personnel and administrative costs and contracted and other service costs.

Salary disclosure is based on the calendar year ended December 31, 2023, while disclosure of constituency office expenses, car allowances, travel and other expenses are for the fiscal year ended March 31, 2024. See "Employee Lists - Guide to Disclosure_Listes d'employées - Guide de divulgation.pdf" under Attachments below for further information regarding the disclosures. / Les traitements sont présentés en fonction de l'année civile terminée le 31 décembre 2023, tandis que la divulgation des dépenses de bureau de circonscription, les allocations d'automobile, les frais de déplacement et autres dépenses sont présentés pour l'exercice terminé le 31 mars 2024. Voir « Employee Lists - Guide to Disclosure_Listes d'employées - Guide de divulgation.pdf » dans les Pièces-jointes ci dessous pour plus d'informations concernant les divulgations.

Data set includes the filings for Client Registrations and Periodic Reports filed by Lobbyist.

The financial expenditures of Correctional Services to administer custodial and community-based sentences in the province. This dataset provides financial information such as the gross expenditures on Nova Scotia Corrections; the per capita expenditures on Nova Scotia Corrections, which is calculated using the total population in Nova Scotia; and the average daily cost in adult custody in Nova Scotia, which is calculated using the adult offender population in adult facilities. Fluctuations in the cost of Corrections may be driven by a number of factors, including but not limited to: the level of crime, legislative and policy responses to crime, sentencing practices, and administrative changes relating to organizational structure and the delivery of services, as well as changes in salaries and benefits for staff. The source for the financial information is the Nova Scotia Department of Justice, Financial Services Corporate Service Unit (CSU). Population data is sourced from Statistics Canada Table 17-10-0009-01 (formerly CANSIM 051-0005) -Population estimates, quarterly.

The Public Libraries data set aggregates individual library services and finance data to the town level.

Public libraries provide free borrowing privileges and services to their patrons and receive financial support from local tax funds. Public libraries may be municipal, which are established by and administrative units of local government, or association, which are not units of town government but receive some public funding. Some towns are served by more than one public library.

Library visits include all persons entering a library for any purpose, including persons attending meetings or activities and persons requiring no staff assistance. Circulation counts all library materials of all formats lent out for use outside the library, including renewals. Registered borrowers are all town residents to whom a library has issued membership. Reference questions counts all interactions in which library staff provide information, knowledge, or recommendations to patrons. Town tax appropriation indicates the funds allotted to the library's operation budget from the town. The Adjusted Equalized Net Grand List per Capita (AENGLC) measures town wealth based on property tax and income per capita.

This dataset includes the Fiscal Year* 2024 County Executive Recommended operating budgets for Montgomery County. The data can be sorted, filtered, and exported by the following elements: Function (grouping, such as “Public Safety”), Department, Program, Cost Center (activity within a program), Fund Type , Subfund Name, Expense Type, Recommended Amount, and Account Name.The Montgomery County fiscal year starts on July 1st and ends on June 30th. Update Frequency: Annually

Hospital financial data, yearly cost center section

This is table generated off of a report for the Michigan legislature. To see the full report and footnotes, go to https://transparency.michigan.gov/Michigan-Film-and-Digital-Media-Production-Incenti/Michigan-Film-Incentives-FY2014-Report/ybzj-pviz

The Skilled Nursing Facility (SNF) Cost Report dataset is a public use file that provides select measures from the skilled nursing facility annual cost report. This data includes provider information such as facility characteristics, utilization data, cost and charges by cost center (in total and for Medicare), Medicare settlement data, and financial statement data organized by CMS Certification Number.

This table is generated off of a report for the Michigan legislature. To see the full report and footnotes, go to https://transparency.michigan.gov/Michigan-Economic-Development-Corporation/FY2015-Michigan-Strategic-Fund-Act-Annual-Report/wrfw-fizh

Results from the Elected Officials Compensation Survey from 2019.

Salary disclosure is based on the calendar year ended December 31, 2019, while disclosure of constituency office expenses, car allowances, travel and other expenses are for the fiscal year ended March 31, 2020. See “2020-Employee Lists – Guide to Disclosure_Listes d’employés – Guide de divulgation.pdf” under Attachments below for further information regarding the disclosures. / Les traitements sont présentés en fonction de l'année civile terminée le 31 décembre 2019, tandis que la divulgation des dépenses de bureau de circonscription, les allocations d'automobile, les frais de déplacement et autres dépenses sont présentés pour l'exercice terminé le 31 mars 2020. Voir « 2020-Employe Lists – Guide to Disclosure_Listes d 'employés – Guide de divulgation.pdf » dans les Pièces-jointes ci-dessous pour plus d'informations concernant les divulgations.

Information about each regular hire* employee at specific points in time, at the end of each calendar year. Employee-related information includes ethnicity, gender and age range. Age range can change from year to year. Job-related information includes date of regular hire, type of regular hire, date of any termination, department, title, SOC job code, SOC job code description, EEO4 job code and management level.

Data is at the end of each calendar year for each of 2013 through 2018. Data is updated annually.

Hire dates for regular hire employees hired before 2013 are all set to December 31, 2012, so accurate employee longevity counts cannot be determined. Employee numbers in the data set are masked, and are not actual employee numbers.

• Regular hire employees have full salaries and benefits and do not have fixed terms on their employment.

This dataset includes the Internal Service Fund data included in the annual operating budget. Internal Service Funds (ISF) are proprietary funds used to record activity (primarily goods and services) provided by one department to other departments of the County government on a cost-reimbursable basis. The County uses this type of fund to account for Motor Pool, Central Duplicating, Liability and Property Coverage Self-Insurance, and Employee Health Benefits Self-Insurance. Update Frequency: Annual

Information about each regular hire* employee at specific points in time, at the end of every year. Employee-related information includes ethnicity, gender and age range. Age range can change from year to year. Job-related information includes date of regular hire, date of any termination, department, title, and management level.

Data is at the end of each calendar year from 2021 forward. Data is updated annually.

Employee numbers in the data set are masked, and are not actual employee numbers.

• Regular hire employees have full salaries and benefits and do not have fixed terms on their employment.

This dataset includes the Internal Service Fund data included in the annual operating budget. Internal Service Funds (ISF) are proprietary funds used to record activity (primarily goods and services) provided by one department to other departments of the County government on a cost-reimbursable basis. The County uses this type of fund to account for Motor Pool, Central Duplicating, Liability and Property Coverage Self-Insurance, and Employee Health Benefits Self-Insurance.

Update Frequency: Annual

This dataset includes hours of comp time earned, holiday earned and overtime paid for state employees within Executive Branch by pay period starting with the pay period ending July 8, 1999. Pay periods are two weeks long and end every other Thursday. Comp time and overtime reflect hours worked above an employee's regular work hours.

This data set contains the Centers for Medicare & Medicaid Services (CMS) annual update to the Utah Hospital Cost Report Public Use File (Hospital Cost Report PUF) with data for 2015. The PUF is organized at the hospital-level and includes select facility characteristics, utilization measures, cost and charges by cost center (in total and for Medicare), Medicare settlement data, and financial statement data.

This dataset contains a record of all employee separations, as well as the date, reason, position information, and salary information at time of separation.

This dataset reports annual operating and capital expenditures by the Asotin County (WA) Library District. The Library District reports the figures annually to the Public Library Survey administered by the Washington State Library in cooperation with the U.S. Institute of Museum and Library Services (IMLS). Data reflects actual figures reported during the particular year and are not adjusted for inflation. For a detailed glossary of terms and more information about the survey, visit the Statistics page at the Washington State Library: https://www.sos.wa.gov/library/libraries/libdev/publications.aspx#WAStats

PLEASE READ THIS DATASET DESCRIPTION IN FULL BEFORE EXPORTING ANY DATA. This dataset, specific to funding for FTE salaries etc., shows operating budget in these categories by fiscal year

Maryland's FY2017-FY2024 (Actual Expenditures), FY2025 (Working), and FY2026 (Governor's Allowance). The data for each FY should be considered in the state listed above.

Data are provided by DBM to the Department of Information Technology (DoIT), which uploads and maintains this dataset. Please note that this dataset is subject to change as new data become available from DBM. Therefore, DBM and DoIT can make no guarantee that the data in this dataset are fully accurate or complete. By accessing this dataset, or by accessing this dataset's metadata, you acknowledge that DBM and DoIT do not guarantee the accuracy nor the completeness of the dataset.

Additional documents on Maryland Operating Budgets are available at http://dbm.maryland.gov/budget/Pages/operbudhome.aspx

This dataset contains budget and spending data for City Initiatives that use American Rescue Plan Act of 2021 (ARPA) or Coronavirus Response and Relief Supplemental Appropriations Act of 2021 (CRRSAA) federal funds. Each row is a different "Initiative Detailed", which is IBO's understanding of the purpose of the funding. IBO developed seven categories of initiative to standardize the comparison of budgeted and spent amounts across agencies: "Initiative Category". The IBO definitions of these categories are below, in order of prioritization (e.g. if a budget code fits the definition of 2. COVID Response – Public Programs and 4. Programmatic Support, it is listed under 2). If readers require more detailed information on spending, the underlying data with the previous initiative names is available for download.

1. Covid Response – City Operations: Spending to keep city agencies operating during the Covid pandemic, such as city employee leave for quarantining and vaccinations, air purifiers, personal protective equipment (PPE) for city employees, etc.
2. Covid Response – Public Programs: Programs created to protect people in New York City from Covid-19.
3. Direct Human Services: Public services provided to meet the financial, physical, or mental needs of New York City residents. This includes ongoing services for housing, food, addiction treatment, childcare, education, anti-poverty, etc. These services are either provided by the government or a nonprofit.
4. Programmatic Support: Funds used on temporary governmental programs. Note: this includes youth training and summer work programs because they are optional and extra-curricular, while public education and adult job training programs are direct human services.
5. Government Operations: Federal funding supplemented lost revenue during the pandemic-related recession. These funds are for Other than Personal Spending, those administrative costs or public services provided in perpetuity (as opposed to services defined as Programmatic Support).
6. Personnel/Staffing: Federal funding supplemented lost revenue during the pandemic-related recession. These funds are for salaries and wages paid to city employees, often called “Personal Services.” Salaries and wages related to Covid response, temporary programs, and direct human services are excluded from this category.
7. Hiring & Attrition Management: Administrative costs related to managing the inflow and outflow of city employees.

This dataset includes the County Council Approved operating budgets expenditures for Montgomery County. The data can be sorted, filtered, and exported by the following elements: Service, Department, Program, Cost Center (activity within a program), Fund Type , Expense Category, Subfund Name, Expense Type, and Account Name. Update Frequency : Annually

The Agency Report Table aggregates pay and employment characteristics in accordance with the requirements of Local Law 18 of 2019. The Table is a point-in-time snapshot of employees who were either active or on temporary leave (parental leave, military leave, illness, etc.) as of December 31st of each year the data is available (see Column "Data Year"). In addition, the Table contains snapshot data of active employees in seasonal titles as of June 30th. To protect the privacy of employees, the sign “<5” is used instead of the actual number for groups of less than five (5) employees, in accordance with the Citywide Privacy Protection Policies and Protocols. The Pay and Demographics Report, and the list of agencies included is available on the MODA Open Source Analytics Library: https://modaprojects.cityofnewyork.us/local-law-18/

Each row represents a group of employees with a common agency, EEO-4 Job Category, pay band, employee status and demographic attributes, which include race, ethnicity and gender.

This dataset includes the Fiscal Year* 2026 County Executive Recommended operating budgets for Montgomery County. The data can be sorted, filtered, and exported by the following elements: Function (grouping, such as “Public Safety”), Department, Program, Cost Center (activity within a program), Fund Type , Subfund Name, Expense Type, Recommended Amount, and Account Name.The Montgomery County fiscal year starts on July 1st and ends on June 30th. Update Frequency: Annually

The Hospital Provider Cost Report dataset provides select measures from the hospital annual cost report. This data includes provider information such as facility characteristics, utilization data, cost and charges by cost center (in total and for Medicare), Medicare settlement data, and financial statement data organized by CMS Certification Number.

Public authorities are required by Section 2800 of Public Authorities Law to submit annual reports to the Authorities Budget Office that includes summary financial information. The dataset consists of information from the statement of net assets and the statement of revenues, expenses and change in net assets reported by State Authorities The dataset contains information that covers 8 fiscal years, which includes fiscal years ending in the most recently completed calendar year.

Public authorities are required by Section 2800 of Public Authorities Law to submit annual reports to the Authorities Budget Office that includes summary financial information. The dataset consists of information from the statement of net assets and the statement of revenues, expenses and change in net assets reported by Industrial Development Agencies that covers 8 fiscal years, which includes fiscal years ending in the most recently completed calendar year.

This program has ended. Please see notes below and datasets for past clients.

Reporting covers July 1 to June 30, annually. For more information on Oregon's program visit https://www.oregon.gov/biz/programs/NMTC/Pages/default.aspx

Please see notes regarding specific columns in the table below.

Eligibility Determination made by Community Development Entity - *Wells Fargo Community Development took over the credits for Albina Community Bank when they ceased operations.

Total Costs of Professionals Fees - *CDE does not charge fees.

Maximum Amount of Tax Credit Made Available to Quality Equity Investor in Current Tax Year - * Advantage Capital has one QEI

Beginning with tax year 2015, the Department of Taxation and Finance (hereafter “the Department”) began producing a new annual population data study file to provide more comprehensive statistical information on New York State personal income tax returns. The data are from full‐year resident, nonresident, and part‐year resident returns filed between January 1 and December 31 of the year after the start of the liability period (hereafter referred to as the “processing year”). The four datasets display major income tax components by tax year. This includes the distribution of New York adjusted gross income and tax liability by county or place of residence, as well as the value of deductions, exemptions, taxable income and tax before credits by size of income. In addition, three of the four datasets include all the components of income, the components of deductions, and the addition/subtraction modifications. Caution: The current datasets are based on population data. For tax years prior to 2015, data were based on sample data. Data customers are advised to use caution when drawing conclusions comparing data for tax years prior to 2015 and subsequent tax years. Further details are included in the Overview.

Public authorities are required by Section 2800 of Public Authorities Law to submit annual reports to the Authorities Budget Office that includes summary financial information. The dataset consists of information from the statement of net assets and the statement of revenues, expenses and change in net assets reported by Local Development Corporations that covers 8 fiscal years, which includes fiscal years ending in the most recently completed calendar year.

Public authorities are required by Section 2800 of Public Authorities Law to submit annual reports to the Authorities Budget Office that includes summary financial information. The dataset consists of information from the statement of net assets and the statement of revenues, expenses and change in net assets reported by Local Authorities that covers 8 fiscal years, which includes fiscal years ending in the most recently completed calendar year.

The following datasets and tables correspond to the data elements reported in the annual Public Library Service – PLS (formerly the Federal State Cooperative System [FSCS] for Public Library Data) survey published by the Institute of Museum and Library Services (IMLS). These data elements are a sub-set of the “Statistical Annual Report of Public Library Services” survey administered by the Utah State Library Division.

Beginning with tax year 2015, the Department of Taxation and Finance (hereafter “the Department”) began producing a new annual population data study file to provide more comprehensive statistical information on New York State personal income tax returns. The data are from full‐year resident, nonresident, and part‐year resident returns filed between January 1 and December 31 of the year after the start of the liability period (hereafter referred to as the “processing year”). The four datasets display major income tax components by tax year. This includes the distribution of New York adjusted gross income and tax liability by county or place of residence, as well as the value of deductions, exemptions, taxable income and tax before credits by size of income. In addition, three of the four datasets include all the components of income, the components of deductions, and the addition/subtraction modifications. Caution: The current datasets are based on population data. For tax years prior to 2015, data were based on sample data. Data customers are advised to use caution when drawing conclusions comparing data for tax years prior to 2015 and subsequent tax years. Further details are included in the Overview.

The following datasets and tables correspond to the data elements reported in the annual Public Library Service – PLS (formerly the Federal State Cooperative System [FSCS] for Public Library Data) survey published by the Institute of Museum and Library Services (IMLS). These data elements are a sub-set of the “Statistical Annual Report of Public Library Services” survey administered by the Utah State Library Division.

En la ejecución de los presupuestos municipales, el Alcalde toma decisiones de acuerdo al incremento salarial que se deberá asumir durante el año; estos incrementos se presentan al Departamento de Nariño para su estudio y análisis, por su parte el Departamento entrega el concepto de ejecución presupuestal pertinente pero quien toma en definitiva la ejecución presupuestal del Municipio es su representante legal.

The following datasets and tables correspond to the data elements reported in the annual Public Library Service – PLS (formerly the Federal State Cooperative System [FSCS] for Public Library Data) survey published by the Institute of Museum and Library Services (IMLS). These data elements are a sub-set of the “Statistical Annual Report of Public Library Services” survey administered by the Utah State Library Division.

Charitable organizations’ expenses from the previous and current tax year as reported to the IRS with Form 990, provided by Colorado Department of State (CDOS) since 2011.

Municipal Fiscal Indicators is an annual compendium of information compiled by the Office of Policy and Management, Office of Finance, Municipal Finance Services Unit (MFS). Municipal Fiscal Indicators contains the most current financial data available for each of Connecticut's 169 municipalities. The data contained in Indicators provides key financial and demographic information on municipalities in Connecticut. The data includes selected demographic and economic data relating to, or having an impact upon, a municipality’s financial condition.

The majority of this data was compiled from the audited financial statements that are filed annually with the State of Connecticut, Office of Policy and Management, Office of Finance. Unlike prior years' where the audited financial information was compiled by OPM, the FY 2021 information in this edition was based upon the self-reporting by municipalities of their own audited data.

The most recent edition is for the Fiscal Years Ended 2018-2022 published in September 2024.

Note: For 2020, this dataset does not include data for the following municipalities, which did not complete the UCOA reporting process in Ansonia, Bloomfield, Bozrah, Danbury, Derby, East Haven, East Lyme, Easton, Hamden, Hebron, Meriden, New Canaan, Norfolk, North Branford, North Canaan, North Haven, Prospect, Seymour, Southington, Stonington, West Haven, Westbrook, Wethersfield, Willington, and Wilton.

For 2021, this dataset does not include data for: Andover, Bolton, Bozrah, Bridgewater, Colebrook, Danbury, East Haven, East Lyme, Easton, Enfield, Mansfield, New Britain, New Haven, Norfolk, North Branford, North Canaan, North Haven, Seymour, Southington, Warren, West Hartford, West Haven, Willington, Wilton, and Woodbury.

For 2022, this dataset does not include data for: Andover, Colchester, Danbury, East Lyme, Marlborough, Norfolk, North Canaan, Prospect, Westbrook, and Wethersfield.

The most recent data on the Municipal Fiscal Indicators is included in the following datasets:

Municipal-Fiscal-Indicators: Financial Statement Information, 2020-2022 https://data.ct.gov/d/d6pe-dw46

Municipal-Fiscal-Indicators: Uniform Chart of Accounts, 2020-2022 https://data.ct.gov/d/e2qt-k238

Municipal Fiscal Indicators: Pension Funding Information for Defined Benefit Pension Plans, 2020-2022 https://data.ct.gov/d/73q3-sgr8

Municipal Fiscal Indicators: Type and Number of Pension Plans, 2020-2022 https://data.ct.gov/d/i84g-vvfb

Municipal Fiscal Indicators: Other Post-Employment Benefits (OPEB), 2020-2022 https://data.ct.gov/d/ei7n-pnn9

Municipal Fiscal Indicators: Economic and Grand List Data, 2019-2024 https://data.ct.gov/d/xgef-f6jp

Municipal Fiscal Indicators: Benchmark Labor Data, 2020-2024 https://data.ct.gov/d/5ijb-j6bn

Municipal Fiscal Indicators: Bond Ratings, 2019-2022 https://data.ct.gov/d/a65i-iag5

Municipal Fiscal Indicators: Individual Town Data, 2014-2022 https://data.ct.gov/d/ej6f-y2wf

Municipal Fiscal Indicators: Totals and Averages, 2014-2022 https://data.ct.gov/d/ryvc-y5rf

The following datasets and tables correspond to the data elements reported in the annual Public Library Service – PLS (formerly the Federal State Cooperative System [FSCS] for Public Library Data) survey published by the Institute of Museum and Library Services (IMLS). These data elements are a sub-set of the “Statistical Annual Report of Public Library Services” survey administered by the Utah State Library Division.

The Quarterly Census of Employment and Wages (QCEW) program (also known as ES-202) collects employment and wage data from employers covered by New York State's Unemployment Insurance (UI) Law. This program is a cooperative program with the U.S. Bureau of Labor Statistics. QCEW data encompass approximately 97 percent of New York's nonfarm employment, providing a virtual census of employees and their wages as well as the most complete universe of employment and wage data, by industry, at the State, regional and county levels. "Covered" employment refers broadly to both private-sector employees as well as state, county, and municipal government employees insured under the New York State Unemployment Insurance (UI) Act. Federal employees are insured under separate laws, but are considered covered for the purposes of the program. Employee categories not covered by UI include some agricultural workers, railroad workers, private household workers, student workers, the self-employed, and unpaid family workers. QCEW data are similar to monthly Current Employment Statistics (CES) data in that they reflect jobs by place of work; therefore, if a person holds two jobs, he or she is counted twice. However, since the QCEW program, by definition, only measures employment covered by unemployment insurance laws, its totals will not be the same as CES employment totals due to the employee categories excluded by UI.

The following datasets and tables correspond to the data elements reported in the annual Public Library Service – PLS (formerly the Federal State Cooperative System [FSCS] for Public Library Data) survey published by the Institute of Museum and Library Services (IMLS). These data elements are a sub-set of the “Statistical Annual Report of Public Library Services” survey administered by the Utah State Library Division.

Expenditures of election campaigns.

This data is pulled from the annual Financial Trends Monitoring System (FTMS). The KCSTAT dashboards for Finance and Governance provide visualizations of this data, along with narrative to explain what these indicators mean.

The FTMS report itself goes also provides a great deal of narrative, and can be viewed by visiting: https://kcstat.kcmo.org/Finance/2013-FTMS-7-29-14-Revised/n7p4-kkha

Charitable organizations’ expenses from the previous and current tax year as reported to the IRS with Form 990EZ, provided by Colorado Department of State (CDOS) since 2011.

This is the survey responses for the 2017 State of the Cities Report. This data has been coded based on survey response choices. Please consult the attached copy of the survey for more information.

The audit team surveyed City staff from January 29th, 2024 to February 14th, 2024. All employees who received the survey link were eligible to respond. See the full audit report at: https://www.austintexas.gov/sites/default/files/files/Auditor/Audit_Reports/Citywide_Retention_August_2024.pdf

The data are from the Census Bureau's Consolidated Federal Funds Reports on Federal expenditures and obligations for grants, salaries and wages, procurements, direct payments, direct loans, guaranteed loans, and insurance obtained from Federal Government agencies. Each file contains Federal outlays by program for each county in the State. County population is also included so that per capita spending can be calculated. Summary of the data for the United States and a ZIP file for all States are also available.

Contributions to election campaigns.

detailed characteristics of people and housing for individual 2010 census block groups

VITAL SIGNS INDICATOR Jobs (LU2)

FULL MEASURE NAME Employment estimates by place of work

LAST UPDATED October 2019

DESCRIPTION Jobs refers to the number of employees in a given area by place of work. These estimates do not include self-employed and private household employees.

DATA SOURCE California Employment Development Department: Current Employment Statistics 1990-2018 http://www.labormarketinfo.edd.ca.gov/

U.S. Census Bureau: LODES Data Longitudinal Employer-Household Dynamics Program (2005-2010) http://lehd.ces.census.gov/

U.S. Census Bureau: American Community Survey 5-Year Estimates, Tables S0804 (2010) and B08604 (2010-2017) https://factfinder.census.gov/

Bureau of Labor Statistics: Current Employment Statistics Table D-3: Employees on nonfarm payrolls (1990-2018) http://www.bls.gov/data/

METHODOLOGY NOTES (across all datasets for this indicator) The California Employment Development Department (EDD) provides estimates of employment, by place of employment, for California counties. The Bureau of Labor Statistics (BLS) provides estimates of employment for metropolitan areas outside of the Bay Area. Annual employment data are derived from monthly estimates and thus reflect “annual average employment.” Employment estimates outside of the Bay Area do not include farm employment. For the metropolitan area comparison, farm employment was removed from Bay Area employment totals. Both EDD and BLS data report only wage and salary jobs, not the self-employed.

For measuring jobs below the county level, Vital Signs assigns collections of incorporated cities and towns to sub-county areas. For example, the cities of East Palo Alto, Menlo Park, Portola Valley, Redwood City and Woodside are considered South San Mateo County. Because Bay Area counties differ in footprint, the number of sub-county city groupings varies from one (San Francisco and San Jose counties) to four (Santa Clara County). Estimates for sub-county areas are the sums of city-level estimates from the U.S. Census Bureau: American Community Survey (ACS) 2010-2017.

The following incorporated cities and towns are included in each sub-county area: North Alameda County – Alameda, Albany, Berkeley, Emeryville, Oakland, Piedmont East Alameda County - Dublin, Livermore, Pleasanton South Alameda County - Fremont, Hayward, Newark, San Leandro, Union City Central Contra Costa County - Clayton, Concord, Danville, Lafayette, Martinez, Moraga, Orinda, Pleasant Hill, San Ramon, Walnut Creek East Contra Costa County - Antioch, Brentwood, Oakley, Pittsburg West Contra Costa County - El Cerrito, Hercules, Pinole, Richmond, San Pablo Marin – all incorporated cities and towns Napa – all incorporated cities and towns San Francisco – San Francisco North San Mateo - Brisbane, Colma, Daly City, Millbrae, Pacifica, San Bruno, South San Francisco Central San Mateo - Belmont, Burlingame, Foster City, Half Moon Bay, Hillsborough, San Carlos, San Mateo South San Mateo - East Palo Alto, Menlo Park, Portola Valley, Redwood City, Woodside North Santa Clara - Los Altos, Los Altos Hills, Milpitas, Mountain View, Palo Alto, Santa Clara, Sunnyvale San Jose – San Jose Southwest Santa Clara - Campbell, Cupertino, Los Gatos, Monte Sereno, Saratoga South Santa Clara - Gilroy, Morgan Hill East Solano - Dixon, Fairfield, Rio Vista, Suisun City, Vacaville South Solano - Benicia, Vallejo North Sonoma - Cloverdale, Healdsburg, Windsor South Sonoma - Cotati, Petaluma, Rohnert Park, Santa Rosa, Sebastopol, Sonoma

The data are from the Census Bureau's Consolidated Federal Funds Reports on Federal expenditures and obligations for grants, salaries and wages, procurements, direct payments, direct loans, guaranteed loans, and insurance obtained from Federal Government agencies. Each file contains Federal outlays by program for each county in the State. County population is also included so that per capita spending can be calculated. Summary of the data for the United States and a ZIP file for all States are also available.

VITAL SIGNS INDICATOR Jobs by Wage Level (EQ1)

FULL MEASURE NAME Distribution of jobs by low-, middle-, and high-wage occupations

LAST UPDATED January 2019

DESCRIPTION Jobs by wage level refers to the distribution of jobs by low-, middle- and high-wage occupations. In the San Francisco Bay Area, low-wage occupations have a median hourly wage of less than 80% of the regional median wage; median wages for middle-wage occupations range from 80% to 120% of the regional median wage, and high-wage occupations have a median hourly wage above 120% of the regional median wage.

DATA SOURCE California Employment Development Department OES (2001-2017) http://www.labormarketinfo.edd.ca.gov/data/oes-employment-and-wages.html

American Community Survey (2001-2017) http://api.census.gov

CONTACT INFORMATION vitalsigns.info@bayareametro.gov

METHODOLOGY NOTES (across all datasets for this indicator) Jobs are determined to be low-, middle-, or high-wage based on the median hourly wage of their occupational classification in the most recent year. Low-wage jobs are those that pay below 80% of the regional median wage. Middle-wage jobs are those that pay between 80% and 120% of the regional median wage. High-wage jobs are those that pay above 120% of the regional median wage. Regional median hourly wages are estimated from the American Community Survey and are published on the Vital Signs Income indicator page. For the national context analysis, occupation wage classifications are unique to each metro area. A low-wage job in New York, for instance, may be a middle-wage job in Miami. For the Bay Area in 2017, the median hourly wage for low-wage occupations was less than $20.86 per hour. For middle-wage jobs, the median ranged from $20.86 to $31.30 per hour; and for high-wage jobs, the median wage was above $31.30 per hour.

Occupational employment and wage information comes from the Occupational Employment Statistics (OES) program. Regional and subregional data is published by the California Employment Development Department. Metro data is published by the Bureau of Labor Statistics. The OES program collects data on wage and salary workers in nonfarm establishments to produce employment and wage estimates for some 800 occupations. Data from non-incorporated self-employed persons are not collected, and are not included in these estimates. Wage estimates represent a three-year rolling average.

Due to changes in reporting during the analysis period, subregion data from the EDD OES have been aggregated to produce geographies that can be compared over time. West Bay is San Mateo, San Francisco, and Marin counties. North Bay is Sonoma, Solano and Napa counties. East Bay is Alameda and Contra Costa counties. South Bay is Santa Clara County from 2001-2004 and Santa Clara and San Benito counties from 2005-2017.

Due to changes in occupation classifications during the analysis period, all occupations have been reassigned to 2010 SOC codes. For pre-2009 reporting years, all employment in occupations that were split into two or more 2010 SOC occupations are assigned to the first 2010 SOC occupation listed in the crosswalk table provided by the Census Bureau. This method assumes these occupations always fall in the same wage category, and sensitivity analysis of this reassignment method shows this is true in most cases.

In order to use OES data for time series analysis, several steps were taken to handle missing wage or employment data. For some occupations, such as airline pilots and flight attendants, no wage information was provided and these were removed from the analysis. Other occupations did not record a median hourly wage (mostly due to irregular work hours) but did record an annual average wage. Nearly all these occupations were in education (i.e. teachers). In this case, a 2080 hour-work year was assumed and [annual average wage/2080] was used as a proxy for median income. Most of these occupations were classified as high-wage, thus dispelling c

VITAL SIGNS INDICATOR Jobs (LU2)

FULL MEASURE NAME Employment estimates by place of work

LAST UPDATED October 2019

DESCRIPTION Jobs refers to the number of employees in a given area by place of work. These estimates do not include self-employed and private household employees.

DATA SOURCE California Employment Development Department: Current Employment Statistics 1990-2018 http://www.labormarketinfo.edd.ca.gov/

U.S. Census Bureau: LODES Data Longitudinal Employer-Household Dynamics Program (2005-2010) http://lehd.ces.census.gov/

U.S. Census Bureau: American Community Survey 5-Year Estimates, Tables S0804 (2010) and B08604 (2010-2017) https://factfinder.census.gov/

Bureau of Labor Statistics: Current Employment Statistics Table D-3: Employees on nonfarm payrolls (1990-2018) http://www.bls.gov/data/

METHODOLOGY NOTES (across all datasets for this indicator) The California Employment Development Department (EDD) provides estimates of employment, by place of employment, for California counties. The Bureau of Labor Statistics (BLS) provides estimates of employment for metropolitan areas outside of the Bay Area. Annual employment data are derived from monthly estimates and thus reflect “annual average employment.” Employment estimates outside of the Bay Area do not include farm employment. For the metropolitan area comparison, farm employment was removed from Bay Area employment totals. Both EDD and BLS data report only wage and salary jobs, not the self-employed.

For measuring jobs below the county level, Vital Signs assigns collections of incorporated cities and towns to sub-county areas. For example, the cities of East Palo Alto, Menlo Park, Portola Valley, Redwood City and Woodside are considered South San Mateo County. Because Bay Area counties differ in footprint, the number of sub-county city groupings varies from one (San Francisco and San Jose counties) to four (Santa Clara County). Estimates for sub-county areas are the sums of city-level estimates from the U.S. Census Bureau: American Community Survey (ACS) 2010-2017.

The following incorporated cities and towns are included in each sub-county area: North Alameda County – Alameda, Albany, Berkeley, Emeryville, Oakland, Piedmont East Alameda County - Dublin, Livermore, Pleasanton South Alameda County - Fremont, Hayward, Newark, San Leandro, Union City Central Contra Costa County - Clayton, Concord, Danville, Lafayette, Martinez, Moraga, Orinda, Pleasant Hill, San Ramon, Walnut Creek East Contra Costa County - Antioch, Brentwood, Oakley, Pittsburg West Contra Costa County - El Cerrito, Hercules, Pinole, Richmond, San Pablo Marin – all incorporated cities and towns Napa – all incorporated cities and towns San Francisco – San Francisco North San Mateo - Brisbane, Colma, Daly City, Millbrae, Pacifica, San Bruno, South San Francisco Central San Mateo - Belmont, Burlingame, Foster City, Half Moon Bay, Hillsborough, San Carlos, San Mateo South San Mateo - East Palo Alto, Menlo Park, Portola Valley, Redwood City, Woodside North Santa Clara - Los Altos, Los Altos Hills, Milpitas, Mountain View, Palo Alto, Santa Clara, Sunnyvale San Jose – San Jose Southwest Santa Clara - Campbell, Cupertino, Los Gatos, Monte Sereno, Saratoga South Santa Clara - Gilroy, Morgan Hill East Solano - Dixon, Fairfield, Rio Vista, Suisun City, Vacaville South Solano - Benicia, Vallejo North Sonoma - Cloverdale, Healdsburg, Windsor South Sonoma - Cotati, Petaluma, Rohnert Park, Santa Rosa, Sebastopol, Sonoma

The data are from the Census Bureau's Consolidated Federal Funds Reports on Federal expenditures and obligations for grants, salaries and wages, procurements, direct payments, direct loans, guaranteed loans, and insurance obtained from Federal Government agencies. Each file contains Federal outlays by program for each county in the State. County population is also included so that per capita spending can be calculated. Summary of the data for the United States and a ZIP file for all States are also available.

VITAL SIGNS INDICATOR Jobs (LU2)

FULL MEASURE NAME Employment estimates by place of work

LAST UPDATED March 2020

DESCRIPTION Jobs refers to the number of employees in a given area by place of work. These estimates do not include self-employed and private household employees.

DATA SOURCE California Employment Development Department: Current Employment Statistics 1990-2018 http://www.labormarketinfo.edd.ca.gov/

U.S. Census Bureau: LODES Data Longitudinal Employer-Household Dynamics Program (2005-2010) http://lehd.ces.census.gov/

U.S. Census Bureau: American Community Survey 5-Year Estimates, Tables S0804 (2010) and B08604 (2010-2017) https://factfinder.census.gov/

Bureau of Labor Statistics: Current Employment Statistics Table D-3: Employees on nonfarm payrolls (1990-2018) http://www.bls.gov/data/

METHODOLOGY NOTES (across all datasets for this indicator) The California Employment Development Department (EDD) provides estimates of employment, by place of employment, for California counties. The Bureau of Labor Statistics (BLS) provides estimates of employment for metropolitan areas outside of the Bay Area. Annual employment data are derived from monthly estimates and thus reflect “annual average employment.” Employment estimates outside of the Bay Area do not include farm employment. For the metropolitan area comparison, farm employment was removed from Bay Area employment totals. Both EDD and BLS data report only wage and salary jobs, not the self-employed.

For measuring jobs below the county level, Vital Signs assigns collections of incorporated cities and towns to sub-county areas. For example, the cities of East Palo Alto, Menlo Park, Portola Valley, Redwood City and Woodside are considered South San Mateo County. Because Bay Area counties differ in footprint, the number of sub-county city groupings varies from one (San Francisco and San Jose counties) to four (Santa Clara County). Estimates for sub-county areas are the sums of city-level estimates from the U.S. Census Bureau: American Community Survey (ACS) 2010-2017.

The following incorporated cities and towns are included in each sub-county area: North Alameda County – Alameda, Albany, Berkeley, Emeryville, Oakland, Piedmont East Alameda County - Dublin, Livermore, Pleasanton South Alameda County - Fremont, Hayward, Newark, San Leandro, Union City Central Contra Costa County - Clayton, Concord, Danville, Lafayette, Martinez, Moraga, Orinda, Pleasant Hill, San Ramon, Walnut Creek East Contra Costa County - Antioch, Brentwood, Oakley, Pittsburg West Contra Costa County - El Cerrito, Hercules, Pinole, Richmond, San Pablo Marin – all incorporated cities and towns Napa – all incorporated cities and towns San Francisco – San Francisco North San Mateo - Brisbane, Colma, Daly City, Millbrae, Pacifica, San Bruno, South San Francisco Central San Mateo - Belmont, Burlingame, Foster City, Half Moon Bay, Hillsborough, San Carlos, San Mateo South San Mateo - East Palo Alto, Menlo Park, Portola Valley, Redwood City, Woodside North Santa Clara - Los Altos, Los Altos Hills, Milpitas, Mountain View, Palo Alto, Santa Clara, Sunnyvale San Jose – San Jose Southwest Santa Clara - Campbell, Cupertino, Los Gatos, Monte Sereno, Saratoga South Santa Clara - Gilroy, Morgan Hill East Solano - Dixon, Fairfield, Rio Vista, Suisun City, Vacaville South Solano - Benicia, Vallejo North Sonoma - Cloverdale, Healdsburg, Windsor South Sonoma - Cotati, Petaluma, Rohnert Park, Santa Rosa, Sebastopol, Sonoma

These data are collected from Washington Workers' Compensation system files (State Fund and Self-Insured). They provide industry specific Work-related Musculoskeletal Disorder (WMSD) claim rates. Risks for WMSDs vary across industries. The rates are for ‘compensable’ claims which are those that typically involve expenses beyond medical treatment such as wage replacement, or disability payments. The rate of compensable claims, expressed as the number of compensable claims per 1,000 full-time equivalent workers, is provided for the Washington workers’ compensation risk classifications, and four levels of the North American Industry Classification System - industry sector, industry sub-sector, industry group and industry. A comparison measure of the industry’s rate to the overall state workers’ compensable WMSD claim rate, a ‘rate ratio’ is provided.

This dataset outlines details of city governance compiled from 242 city charters.

The data are from the Census Bureau's Consolidated Federal Funds Reports on Federal expenditures and obligations for grants, salaries and wages, procurements, direct payments, direct loans, guaranteed loans, and insurance obtained from Federal Government agencies. Each file contains Federal outlays by program for each county in the State. County population is also included so that per capita spending can be calculated. Summary of the data for the United States and a ZIP file for all States are also available.

The data are from the Census Bureau's Consolidated Federal Funds Reports on Federal expenditures and obligations for grants, salaries and wages, procurements, direct payments, direct loans, guaranteed loans, and insurance obtained from Federal Government agencies. Each file contains Federal outlays by program for each county in the State. County population is also included so that per capita spending can be calculated. Summary of the data for the United States and a ZIP file for all States are also available.

VITAL SIGNS INDICATOR Jobs (LU2)

FULL MEASURE NAME Employment estimates by place of work

LAST UPDATED October 2019

DESCRIPTION Jobs refers to the number of employees in a given area by place of work. These estimates do not include self-employed and private household employees.

DATA SOURCE California Employment Development Department: Current Employment Statistics 1990-2018 http://www.labormarketinfo.edd.ca.gov/

U.S. Census Bureau: LODES Data Longitudinal Employer-Household Dynamics Program (2005-2010) http://lehd.ces.census.gov/

U.S. Census Bureau: American Community Survey 5-Year Estimates, Tables S0804 (2010) and B08604 (2010-2017) https://factfinder.census.gov/

Bureau of Labor Statistics: Current Employment Statistics Table D-3: Employees on nonfarm payrolls (1990-2018) http://www.bls.gov/data/

METHODOLOGY NOTES (across all datasets for this indicator) The California Employment Development Department (EDD) provides estimates of employment, by place of employment, for California counties. The Bureau of Labor Statistics (BLS) provides estimates of employment for metropolitan areas outside of the Bay Area. Annual employment data are derived from monthly estimates and thus reflect “annual average employment.” Employment estimates outside of the Bay Area do not include farm employment. For the metropolitan area comparison, farm employment was removed from Bay Area employment totals. Both EDD and BLS data report only wage and salary jobs, not the self-employed.

For measuring jobs below the county level, Vital Signs assigns collections of incorporated cities and towns to sub-county areas. For example, the cities of East Palo Alto, Menlo Park, Portola Valley, Redwood City and Woodside are considered South San Mateo County. Because Bay Area counties differ in footprint, the number of sub-county city groupings varies from one (San Francisco and San Jose counties) to four (Santa Clara County). Estimates for sub-county areas are the sums of city-level estimates from the U.S. Census Bureau: American Community Survey (ACS) 2010-2017.

The following incorporated cities and towns are included in each sub-county area: North Alameda County – Alameda, Albany, Berkeley, Emeryville, Oakland, Piedmont East Alameda County - Dublin, Livermore, Pleasanton South Alameda County - Fremont, Hayward, Newark, San Leandro, Union City Central Contra Costa County - Clayton, Concord, Danville, Lafayette, Martinez, Moraga, Orinda, Pleasant Hill, San Ramon, Walnut Creek East Contra Costa County - Antioch, Brentwood, Oakley, Pittsburg West Contra Costa County - El Cerrito, Hercules, Pinole, Richmond, San Pablo Marin – all incorporated cities and towns Napa – all incorporated cities and towns San Francisco – San Francisco North San Mateo - Brisbane, Colma, Daly City, Millbrae, Pacifica, San Bruno, South San Francisco Central San Mateo - Belmont, Burlingame, Foster City, Half Moon Bay, Hillsborough, San Carlos, San Mateo South San Mateo - East Palo Alto, Menlo Park, Portola Valley, Redwood City, Woodside North Santa Clara - Los Altos, Los Altos Hills, Milpitas, Mountain View, Palo Alto, Santa Clara, Sunnyvale San Jose – San Jose Southwest Santa Clara - Campbell, Cupertino, Los Gatos, Monte Sereno, Saratoga South Santa Clara - Gilroy, Morgan Hill East Solano - Dixon, Fairfield, Rio Vista, Suisun City, Vacaville South Solano - Benicia, Vallejo North Sonoma - Cloverdale, Healdsburg, Windsor South Sonoma - Cotati, Petaluma, Rohnert Park, Santa Rosa, Sebastopol, Sonoma

Información de los servidores públicos con una vinculación activa en el Sistema de Información y Gestión del Empleo Público -SIGEP, de acuerdo con el Título 17 del Decreto 1083 de 2015, no se incluye planta privada, personal uniformado, docentes y trabajadores oficiales.

Nos interesa conocer su opinión sobre nuestros conjuntos de datos. Lo invitamos a diligenciar esta breve encuesta de satisfacción de datos abiertos: https://www.funcionpublica.gov.co/encuesta-institucional2

Any Principal Lobbyist (including Public Corporations) required to file a Statement of Registration for a Client in a biennial period must also file Bi-monthly Reports, regardless of Compensation, Expenses, or Lobbying Activity, up to the Lobbying Agreement Termination (End) Date. The Bi-monthly Report requires the Filer to disclose the Lobbying Activities that occurred, and monies spent during the applicable reporting period. Proper disclosure of these Lobbying Activities necessitates a level of specificity that makes clear to the public exactly what and who was being lobbied during the specific Bi monthly reporting period.

VITAL SIGNS INDICATOR Jobs by Wage Level (EQ1)

FULL MEASURE NAME Distribution of jobs by low-, middle-, and high-wage occupations

LAST UPDATED January 2019

DESCRIPTION Jobs by wage level refers to the distribution of jobs by low-, middle- and high-wage occupations. In the San Francisco Bay Area, low-wage occupations have a median hourly wage of less than 80% of the regional median wage; median wages for middle-wage occupations range from 80% to 120% of the regional median wage, and high-wage occupations have a median hourly wage above 120% of the regional median wage.

DATA SOURCE California Employment Development Department OES (2001-2017) http://www.labormarketinfo.edd.ca.gov/data/oes-employment-and-wages.html

American Community Survey (2001-2017) http://api.census.gov

CONTACT INFORMATION vitalsigns.info@bayareametro.gov

METHODOLOGY NOTES (across all datasets for this indicator) Jobs are determined to be low-, middle-, or high-wage based on the median hourly wage of their occupational classification in the most recent year. Low-wage jobs are those that pay below 80% of the regional median wage. Middle-wage jobs are those that pay between 80% and 120% of the regional median wage. High-wage jobs are those that pay above 120% of the regional median wage. Regional median hourly wages are estimated from the American Community Survey and are published on the Vital Signs Income indicator page. For the national context analysis, occupation wage classifications are unique to each metro area. A low-wage job in New York, for instance, may be a middle-wage job in Miami. For the Bay Area in 2017, the median hourly wage for low-wage occupations was less than $20.86 per hour. For middle-wage jobs, the median ranged from $20.86 to $31.30 per hour; and for high-wage jobs, the median wage was above $31.30 per hour.

Occupational employment and wage information comes from the Occupational Employment Statistics (OES) program. Regional and subregional data is published by the California Employment Development Department. Metro data is published by the Bureau of Labor Statistics. The OES program collects data on wage and salary workers in nonfarm establishments to produce employment and wage estimates for some 800 occupations. Data from non-incorporated self-employed persons are not collected, and are not included in these estimates. Wage estimates represent a three-year rolling average.

Due to changes in reporting during the analysis period, subregion data from the EDD OES have been aggregated to produce geographies that can be compared over time. West Bay is San Mateo, San Francisco, and Marin counties. North Bay is Sonoma, Solano and Napa counties. East Bay is Alameda and Contra Costa counties. South Bay is Santa Clara County from 2001-2004 and Santa Clara and San Benito counties from 2005-2017.

Due to changes in occupation classifications during the analysis period, all occupations have been reassigned to 2010 SOC codes. For pre-2009 reporting years, all employment in occupations that were split into two or more 2010 SOC occupations are assigned to the first 2010 SOC occupation listed in the crosswalk table provided by the Census Bureau. This method assumes these occupations always fall in the same wage category, and sensitivity analysis of this reassignment method shows this is true in most cases.

In order to use OES data for time series analysis, several steps were taken to handle missing wage or employment data. For some occupations, such as airline pilots and flight attendants, no wage information was provided and these were removed from the analysis. Other occupations did not record a median hourly wage (mostly due to irregular work hours) but did record an annual average wage. Nearly all these occupations were in education (i.e. teachers). In this case, a 2080 hour-work year was assumed and [annual average wage/2080] was used as a proxy for median income. Most of these occupations were classified as high-wage, thus dispelling c

The following datasets and tables correspond to the data elements reported in the annual Public Library Service – PLS (formerly the Federal State Cooperative System [FSCS] for Public Library Data) survey published by the Institute of Museum and Library Services (IMLS). These data elements are a sub-set of the “Statistical Annual Report of Public Library Services” survey administered by the Utah State Library Division.

The following datasets and tables correspond to the data elements reported in the annual Public Library Service – PLS (formerly the Federal State Cooperative System [FSCS] for Public Library Data) survey published by the Institute of Museum and Library Services (IMLS). These data elements are a sub-set of the “Statistical Annual Report of Public Library Services” survey administered by the Utah State Library Division.

The following datasets and tables correspond to the data elements reported in the annual Public Library Service – PLS (formerly the Federal State Cooperative System [FSCS] for Public Library Data) survey published by the Institute of Museum and Library Services (IMLS). These data elements are a sub-set of the “Statistical Annual Report of Public Library Services” survey administered by the Utah State Library Division.

The data are from the Census Bureau's Consolidated Federal Funds Reports on Federal expenditures and obligations for grants, salaries and wages, procurements, direct payments, direct loans, guaranteed loans, and insurance obtained from Federal Government agencies. Each file contains Federal outlays by program for each county in the State. County population is also included so that per capita spending can be calculated. Summary of the data for the United States and a ZIP file for all States are also available.

Beginning with tax year 2015, the Department of Taxation and Finance (hereafter “the Department”) began producing a new annual population data study file to provide more comprehensive statistical information on New York State personal income tax returns. The data are from full‐year resident, nonresident, and part‐year resident returns filed between January 1 and December 31 of the year after the start of the liability period (hereafter referred to as the “processing year”). The four datasets display major income tax components by tax year. This includes the distribution of New York adjusted gross income and tax liability by county or place of residence, as well as the value of deductions, exemptions, taxable income and tax before credits by size of income. In addition, three of the four datasets include all the components of income, the components of deductions, and the addition/subtraction modifications. Caution: The current datasets are based on population data. For tax years prior to 2015, data were based on sample data. Data customers are advised to use caution when drawing conclusions comparing data for tax years prior to 2015 and subsequent tax years. Further details are included in the Overview.

The following datasets and tables correspond to the data elements reported in the annual Public Library Service – PLS (formerly the Federal State Cooperative System [FSCS] for Public Library Data) survey published by the Institute of Museum and Library Services (IMLS). These data elements are a sub-set of the “Statistical Annual Report of Public Library Services” survey administered by the Utah State Library Division.

This dataset includes school district expenditures by function code starting with fiscal year 2009.

Function codes describe discrete expenditures within major functional areas such as administration, teaching, and maintenance. The report also distinguishes between in-district and out-of-district programs and spending is categorized by funding source, including general fund and grants and revolving funds. For more information about the data and how to interpret it, please visit the School Finance Dashboard.

This dataset only includes school district expenditures. Due to differences how data is reported by school districts and charter schools and virtual schools, charter school and virtual school data is not available at the function code level. Visit the charter school financial report page for more information.

This dataset is one of three containing the same data that is also published in the School Finance Dashboard: District Expenditures by Spending Category District Expenditures by Function Code School Expenditures by Spending Category

List of Functional Spending Codes by Category

*Function code discontinued starting in fiscal year 2018

ADMN Administration1110 School Committee1210 Superintendent1220 Assistant Superintendents1230 Other District-Wide Administration1410 Business and Finance1420 Human Resources and Benefits1430 Legal Service for School Committee1435 Legal Settlements1450 Administrative Technology-DistrictwideLDRS Instructional Leadership2110 Curriculum Directors and Dept. Heads (Supervisory)2120 Curriculum Directors and Dept. Heads (Non-Supervisory)2130 Instructional Technology Leadership and Training2210 School Leadership2220 Curriculum/Dept Leaders (School Level)2250 Administrative Technology and Support (Schools)2315 Instructional Coordinators (Non-Supervisory)TCHR Teachers2305 Teachers, Classroom2310 Teachers, SpecialistsTSER Other Teaching Services2320 Medical/ Therapeutic Services2324 Substitutes, Long-Term2325 Substitutes, Short-Term2330 Paraprofessionals2340 Librarians/Media Center Directors2345 Distance Learning and Online CourseworkPDEV Professional Development2351 Professional Development Leadership2352 Instructional Coaches2353 Instructional Staff-Professional Days2354 Stipends for Teachers Providing Instructional Coaching2355 Substitutes for Prof. Development2356 Costs for Instructional Staff to Attend Professional Development2357 Prof. Dev. Stipends, Providers, Expenses*2358 Outside Professional Development Providers for Instructional StaffMATL Instructional Materials, Equipment and Technology2410 Textbooks2

DETAILED CHARACTERISTICS OF PEOPLE AND HOUSING FOR INDIVIDUAL 2010 CENSUS TRACT PORTIONS INSIDE OR OUTSIDE KCMO - Some demographic data are from the 2010 Census while other data are from the 2013-2017 American Community Survey (ACS). The ACS replaces what until 2000 was the Long Form of the census; both have been based on surveys of a partial sample of people. The ACS sample is so small that surveys from five years must be combined to be reliable. The 2013-2017 ACS is the most recent grouping of 5 years of data. ACS data have been proportioned to conform with 2010 Census total population and total households.

The following datasets and tables correspond to the data elements reported in the annual Public Library Service – PLS (formerly the Federal State Cooperative System [FSCS] for Public Library Data) survey published by the Institute of Museum and Library Services (IMLS). These data elements are a sub-set of the “Statistical Annual Report of Public Library Services” survey administered by the Utah State Library Division.

The data are from the Census Bureau's Consolidated Federal Funds Reports on Federal expenditures and obligations for grants, salaries and wages, procurements, direct payments, direct loans, guaranteed loans, and insurance obtained from Federal Government agencies. Each file contains Federal outlays by program for each county in the State. County population is also included so that per capita spending can be calculated. Summary of the data for the United States and a ZIP file for all States are also available.

VITAL SIGNS INDICATOR Jobs by Wage Level (EQ1)

FULL MEASURE NAME Distribution of jobs by low-, middle-, and high-wage occupations

LAST UPDATED January 2019

DESCRIPTION Jobs by wage level refers to the distribution of jobs by low-, middle- and high-wage occupations. In the San Francisco Bay Area, low-wage occupations have a median hourly wage of less than 80% of the regional median wage; median wages for middle-wage occupations range from 80% to 120% of the regional median wage, and high-wage occupations have a median hourly wage above 120% of the regional median wage.

DATA SOURCE California Employment Development Department OES (2001-2017) http://www.labormarketinfo.edd.ca.gov/data/oes-employment-and-wages.html

American Community Survey (2001-2017) http://api.census.gov

CONTACT INFORMATION vitalsigns.info@bayareametro.gov

METHODOLOGY NOTES (across all datasets for this indicator) Jobs are determined to be low-, middle-, or high-wage based on the median hourly wage of their occupational classification in the most recent year. Low-wage jobs are those that pay below 80% of the regional median wage. Middle-wage jobs are those that pay between 80% and 120% of the regional median wage. High-wage jobs are those that pay above 120% of the regional median wage. Regional median hourly wages are estimated from the American Community Survey and are published on the Vital Signs Income indicator page. For the national context analysis, occupation wage classifications are unique to each metro area. A low-wage job in New York, for instance, may be a middle-wage job in Miami. For the Bay Area in 2017, the median hourly wage for low-wage occupations was less than $20.86 per hour. For middle-wage jobs, the median ranged from $20.86 to $31.30 per hour; and for high-wage jobs, the median wage was above $31.30 per hour.

Occupational employment and wage information comes from the Occupational Employment Statistics (OES) program. Regional and subregional data is published by the California Employment Development Department. Metro data is published by the Bureau of Labor Statistics. The OES program collects data on wage and salary workers in nonfarm establishments to produce employment and wage estimates for some 800 occupations. Data from non-incorporated self-employed persons are not collected, and are not included in these estimates. Wage estimates represent a three-year rolling average.

Due to changes in reporting during the analysis period, subregion data from the EDD OES have been aggregated to produce geographies that can be compared over time. West Bay is San Mateo, San Francisco, and Marin counties. North Bay is Sonoma, Solano and Napa counties. East Bay is Alameda and Contra Costa counties. South Bay is Santa Clara County from 2001-2004 and Santa Clara and San Benito counties from 2005-2017.

Due to changes in occupation classifications during the analysis period, all occupations have been reassigned to 2010 SOC codes. For pre-2009 reporting years, all employment in occupations that were split into two or more 2010 SOC occupations are assigned to the first 2010 SOC occupation listed in the crosswalk table provided by the Census Bureau. This method assumes these occupations always fall in the same wage category, and sensitivity analysis of this reassignment method shows this is true in most cases.

In order to use OES data for time series analysis, several steps were taken to handle missing wage or employment data. For some occupations, such as airline pilots and flight attendants, no wage information was provided and these were removed from the analysis. Other occupations did not record a median hourly wage (mostly due to irregular work hours) but did record an annual average wage. Nearly all these occupations were in education (i.e. teachers). In this case, a 2080 hour-work year was assumed and [annual average wage/2080] was used as a proxy for median income. Most of these occupations were classified as high-wage, thus dispelling c

Recent modifications in the data transformation process may result in data changes. Additional details about the changes can be found here: https://data.colorado.gov/stories/s/pbek-aaa3

Non-profit organization (NPO) data of campaign reports for solicitation notices from the Colorado Department of State (CDOS) Division of Charity.

A historical tabulation of selected tax return statistics by counties and other geographic areas reported every year by the Research Section at the Department of Revenue. Source data comes from Tables A through D in the "Returns by county, other states, and city" spreadsheet that accompanies every annual Personal Income Tax publication. Data are reported for all 36 Oregon counties as well as five areas outside Oregon, based on the mailing address on the return when it was filed. Clark County, Washington, is reported separately from the remainder of Washington because so many Clark County residents work in Portland. Idaho and California also have individual tables. Returns from all other states (and outside of the US) are grouped together as "Other". For full-year resident returns, Oregon AGI is the same as federal AGI. For part-year resident and nonresident returns, Oregon AGI is determined from Oregon sourced income and adjustments. Note that some rows have blank cells indicating that data has been omitted, often for disclosure reasons. See "data limitations" below.

detailed 1980 characteristics of people and housing for individual 2010 census tract portions inside or outside KCMO

DETAILED CHARACTERISTICS OF PEOPLE AND HOUSING FOR INDIVIDUAL 2010 CENSUS TRACT PORTIONS INSIDE OR OUTSIDE KCMO - Some demographic data are from the 2010 Census while other data are from the 2015-2019 American Community Survey (ACS). The ACS replaces what until 2000 was the Long Form of the census; both have been based on surveys of a partial sample of people. The ACS sample is so small that surveys from five years must be combined to be reliable. The 2015-2019 ACS is the most recent grouping of 5 years of data. ACS data have been proportioned to conform with 2010 Census total population and total households.

The following datasets and tables correspond to the data elements reported in the annual Public Library Service – PLS (formerly the Federal State Cooperative System [FSCS] for Public Library Data) survey published by the Institute of Museum and Library Services (IMLS). These data elements are a sub-set of the “Statistical Annual Report of Public Library Services” survey administered by the Utah State Library Division.

Data for the Austin Council District Profiles, displayed on the Austin Demographics site, published in Spring 2023.

Data is from 2020-2022, depending on the data.

City of Austin Open Data Terms of Use – https://data.austintexas.gov/stories/s/ranj-ccc

Any Principal Lobbyist required to file a Statement of Registration for a Client in a biennial period must also file Bi-monthly Reports, regardless of Compensation, Expenses, or Lobbying Activity, up to the Lobbying Agreement Termination (End) Date. The Bi-monthly Report requires the Filer to disclose the Lobbying Activities that occurred, and monies spent during the applicable reporting period. Proper disclosure of these Lobbying Activities necessitates a level of specificity that makes clear to the public exactly what and who was being lobbied during the specific Bi-monthly reporting period.

Any Contractual Client retaining, employing or designating a Lobbyist or Lobbyists (whether or not any such Lobbyist was required to file a Statement of Registration or Bi-monthly Report) who incurs or reasonably anticipates incurring more than $5,000 in combined Reportable Compensation and Expenses for Lobbying Activities on a State and/or Municipal level, is required to submit a Client Semi-Annual (“CSA”) Report. The CSA Report requires disclosure of the actual Lobbying Activities that occurred during the specific reporting period. The CSA reporting period covers January/June; or July/December.

Listing of all City expenses per department. This data includes transactions paid by check as well as payroll transactions and transactions paid by wire or electronic draft. Includes record date, payee, amount and the accounting string that describes which fund, organizational department and the activity roll up of the department that benefited from the transaction. The data contained on this website is for informational purposes only and represents expenditure transactions of the City of Mesa. The data includes check payments as well as payroll transactions and transactions paid by wire or electronic draft. The data as represented is unaudited and may contain omissions. For audited financial statements please reference the Comprehensive Annual Financial Report (CAFR). Certain Mesa vendor and customer names have been redacted for confidentiality and safety issues; therefore, not all vendor or customer names are represented. Payments that are voided in a subsequent Fiscal Year may appear as a negative amount. Certain Activity assignments may change mid-year. This year-to-date information is updated monthly and represents the most current activity assignment regardless of the assignment at the time of the transaction.

Dataset showing the average income in dollars per capita by race and ethnicity.

Información relacionada con la vinculación de las personas con discapacidad en las entidades públicas que permite caracterizar a las personas con discapacidad vinculadas en las entidades públicas así como realizar el respectivo seguimiento al cumplimiento del Decreto Ley 2011 de 2017.

Nos interesa conocer su opinión sobre nuestros conjuntos de datos. Lo invitamos a diligenciar esta breve encuesta de satisfacción de datos abiertos: https://www.funcionpublica.gov.co/encuesta-institucional2

Economic characteristics for the timespan 2007-2011 from the US Census Bureau

This is a collection of data reported in LACERS Annual Financial Report since Fiscal Year End 1990, which includes selective data from the yearly Actuarial Valuation, Audited Financial Statement, and Investments Reporting generated after the end of each Fiscal Year. Average Healthcare Subsidies data are the exception and are pulled from Health division dashboards at fiscal year end. Yearly and multi-year investment return averages are based on time-weighted reporting. Some figures are rounded, as reported in the documents referenced above. Actuarial Valuations and Annual Financial Report documents, in electronic form, can be found on the LACERS.org website at https://www.lacers.org/reports-and-statistics.

Data from the American Communities Survey 2014. This data includes information on household income, city industries composition, and class of workers.

A table of Census data on poverty in the Bronx. This table can by joined with the Bronx Census Tract shapefile, using the census tract field as the common factor. Field definitions are in attached metadata file.

This City Demographics data comes from the American Community Survey 2014. This list includes information on median household income, class of employment and the type of industry city residents are employed in.

A table of the employment and poverty data per Bronx census tract, from the American Community Survey pertaining to 2006-2010 population and records

Community-Based Survey of Supports for Healthy Eating and Active Living (CBS HEAL) is a CDC survey of a nationally representative sample of U.S. municipalities to better understand existing community-level policies and practices that support healthy eating and active living. The survey collects information about policies such as nutrition standards, incentives for healthy food retail, bike/pedestrian-friendly design, and Complete Streets. About 2,000 municipalities respond to the survey. Participating municipalities receive a report that allows them to compare their policies and practices with other municipalities of similar geography, population size, and urban status.

The CBS HEAL survey was first administered in 2014 and was administered again in 2021. Data is provided in multiple formats for download including as a SAS file. A methods report and a SAS program for formatting the data are also provided.

Public Monies are funds that have been designated for programs, grants or discretionary funds, but which have not been allocated by law to specific recipients and are not part of a Governmental Procurement. Disbursement of Public Monies Bi-Monthly Reports (‘DPM’) are required only if the Lobbyist already has at least one active Registration on file for non-public money lobbying, and the Lobbyist exceeds or anticipates exceeding an additional $5,000 related to Attempts to Influence the disbursement of Public Monies in excess of $15,000. DPM reports are filed in accordance with the same schedule applicable to Bi-monthly Reports, but are only required to be filed if DPM lobbying occurred during the applicable bi-monthly period.

This data is pulled from the U.S. Census website. This data is for years Calendar Years 2009-2014. Product: SAHIE File Layout Overview Small Area Health Insurance Estimates Program - SAHIE Filenames: SAHIE Text and SAHIE CSV files 2009 – 2014 Source: Small Area Health Insurance Estimates Program, U.S. Census Bureau. Internet Release Date: May 2016 Description: Model‐based Small Area Health Insurance Estimates (SAHIE) for Counties and States File Layout and Definitions

The Small Area Health Insurance Estimates (SAHIE) program was created to develop model-based estimates of health insurance coverage for counties and states. This program builds on the work of the Small Area Income and Poverty Estimates (SAIPE) program. SAHIE is only source of single-year health insurance coverage estimates for all U.S. counties.

For 2008-2014, SAHIE publishes STATE and COUNTY estimates of population with and without health insurance coverage, along with measures of uncertainty, for the full cross-classification of: •5 age categories: 0-64, 18-64, 21-64, 40-64, and 50-64

•3 sex categories: both sexes, male, and female

•6 income categories: all incomes, as well as income-to-poverty ratio (IPR) categories 0-138%, 0-200%, 0-250%, 0-400%, and 138-400% of the poverty threshold

•4 races/ethnicities (for states only): all races/ethnicities, White not Hispanic, Black not Hispanic, and Hispanic (any race).

In addition, estimates for age category 0-18 by the income categories listed above are published.

Each year’s estimates are adjusted so that, before rounding, the county estimates sum to their respective state totals and for key demographics the state estimates sum to the national ACS numbers insured and uninsured.

This program is partially funded by the Centers for Disease Control and Prevention's (CDC), National Breast and Cervical Cancer Early Detection ProgramLink to a non-federal Web site (NBCCEDP). The CDC have a congressional mandate to provide screening services for breast and cervical cancer to low-income, uninsured, and underserved women through the NBCCEDP. Most state NBCCEDP programs define low-income as 200 or 250 percent of the poverty threshold. Also included are IPR categories relevant to the Affordable Care Act (ACA). In 2014, the ACA will help families gain access to health care by allowing Medicaid to cover families with incomes less than or equal to 138 percent of the poverty line. Families with incomes above the level needed to qualify for Medicaid, but less than or equal to 400 percent of the poverty line can receive tax credits that will help them pay for health coverage in the new health insurance exchanges.

We welcome your feedback as we continue to research and improve our estimation methods. The SAHIE program's age model methodology and estimates have undergone internal U.S. Census Bureau review as well as external review. See the SAHIE Methodological Review page for more details and a summary of the comments and our response.

The SAHIE program models health insurance coverage by combining survey data from several sources, including: •The American Community Survey (ACS) •Demographic population estimates •Aggregated federal tax returns •Participation records for the Supplemental Nutrition Assistance Program (SNAP), formerly known as the Food Stamp program •County Business Patterns •Medicaid •Children's Health Insurance Program (CHIP) participation records •Census 2010

Margin of error (MOE). Some ACS products provide an MOE instead of confidence intervals. An MOE is the difference between an estimate and its upper or lower confidence bounds. Confidence bounds can be created by adding the margin of error to the estimate (for the upper bound) and subtracting the margin of error from the estimate (for the lower bound). All published ACS margins of error are based on a 90-percent confidence level.