This is a statutory data collection on Children's Social Work Workforce Data, which includes: Children's Social workers and vacancies, Turnover, Sickness Absence and Agency Workers. This is Calderdale's Data that is submitted annually to the Department for Education. For more information - https://www.gov.uk/government/collections/statistics-childrens-social-care-workforce

Proportion of providers returning data to the further education workforce data collection.

The Department of Health Professions Healthcare Workforce Data Center works to improve the data collection and measurement of Virginia’s healthcare workforce through regular assessment of workforce supply and demand issues among the over 62 professions and the over 500,000 practitioners licensed in Virginia by DHP. DHP healthcare workforce data is provided online to ensure accessibility of the findings among healthcare decision makers, hospital systems, academic institutions and constituents statewide.

Proportion of providers returning data to the further education workforce data collection. Data provided for LA Providers with an Education remit, School based providers, Independent Training Providers (ITP) and Special Post-16 Institutions. These are sub groups of Private Sector Public Funded Providers and Other Public Funded Providers.

The video Keeping Track of Our Most Valuable Resource: Using Workforce Data to Improve Child Welfare Programs urges public and private child welfare agencies to assess their knowledge about their workers and to put data collection and management systems in place to gather accurate and complete workforce data. Metadata-only record linking to the original dataset. Open original dataset below.

Supports the development of The Model Community Health productivity metrics for community health services delivered in the community.

The booming field data collection software market is projected to reach $7.75 billion by 2033, growing at a 15% CAGR. This comprehensive analysis explores key market drivers, trends, and regional insights, featuring leading companies and crucial application segments. Discover the future of data collection in construction, environmental monitoring, and more!

This is the Federal Acquisition Institute's (FAI's) Annual demographic report on the Federal acquisition workforce, showing trends by occupational series, employment grade and educational level, as well as turnover and hiring data for fiscal year (FY) 2006.

The number of consultants and GPs working in the NHS was collected as at 31st March 2005. Previous data, collected on 31st December 2004, was published on 26th May 2005. The main count of NHS staff takes place annually in September and data for September 2004 were published on March 22nd 2005.

In this seminar, you will learn how Workforce for ArcGIS helps organizations reduce errors, increase data currency, and improve the entire field-to-office workflow. The presenters will demonstrate how to get started using Workforce for ArcGIS to improve field-office coordination and expedite field data collection workflows.This seminar was developed to support the following:ArcGIS OnlineWorkforce for ArcGIS

The Occupational Employment Statistics (OES) program conducts a semiannual survey designed to produce estimates of employment and wages for specific occupations. The OES program collects data on wage and salary workers in nonfarm establishments in order to produce employment and wage estimates for about 800 occupations. Data from self-employed persons are not collected and are not included in the estimates. The OES program produces these occupational estimates for the nation as a whole, by state, by metropolitan or nonmetropolitan area, and by industry or ownership. The Bureau of Labor Statistics produces occupational employment and wage estimates for approximately 415 industry classifications at the national level. The industry classifications correspond to the sector, 3-, 4-, and selected 5- and 6-digit North American Industry Classification System (NAICS) industrial groups. The OES program surveys approximately 200,000 establishments per panel (every six months), taking three years to fully collect the sample of 1.2 million establishments. To reduce respondent burden, the collection is on a three-year survey cycle that ensures that establishments are surveyed at most once every three years. The estimates for occupations in nonfarm establishments are based on OES data collected for the reference months of May and November. The OES survey is a federal-state cooperative program between the Bureau of Labor Statistics (BLS) and State Workforce Agencies (SWAs). BLS provides the procedures and technical support, draws the sample, and produces the survey materials, while the SWAs collect the data. SWAs from all fifty states, plus the District of Columbia, Puerto Rico, Guam, and the Virgin Islands participate in the survey. Occupational employment and wage rate estimates at the national level are produced by BLS using data from the fifty states and the District of Columbia. Employers who respond to states' requests to participate in the OES survey make these estimates possible. The OES features several arts-related occupations, particularly in the Arts, Design, Entertainment, Sports, and Media Occupations group (Standard Occupational Classification (SOC) code 27-0000). Several featured occupation groups include the following: Art and Design Workers (SOC 27-1000) Art Directors Fine Artists, including Painters, Sculptors, and Illustrators Multimedia Artists and Animators Fashion Designers Graphic Designers Set and Exhibit Designers Entertainers and Performers, Sports and Related Workers (SOC 27-2000) Actors Producers and Directors Athletes Coaches and Scouts Dancers Choreographers Music Directors and Composers Musicians and Singers Media and Communication Workers (SOC 27-3000) Radio and Television Announcers Reports and Correspondents Public Relations Specialists Writers and Authors Data for years 1997 through the latest release and can be found on the OES Data page. Also, see OES News Releases sections for current estimates and news releases. Users can analyze the data for the nation as a whole, by state, by metropolitan or nonmetropolitan area, and by industry or ownership. As well, OES Charts are available. Users may also explore data using OES Maps. If preferred, data can also be accessed via the Multi-Screen Data Search or Text Files using the OES Databases page.

Find key information on state library agencies.

These data include imputed values for state libraries that did not submit information in this data collection.

Imputation is a procedure for estimating a value for a specific data item where the response is missing.

Download SLAA data files to see imputation flag variables or learn more on the imputation methods at https://www.imls.gov/research-evaluation/data-collection/state-library-administrative-agency-survey

Census workforce data for those parts of the Healthcare workforce that are currently collected within the workforce Minimum Dataset (wMDS) as at 31 March 2015, giving national level statistics for each area covering Hospital and Community Services (Medical and Dental staff; and Non-medical staff); General and Personal Medical Services; and Independent Sector Healthcare Providers. As a new collection its results must be further understood, as such these statistics are experimental and subject to change.

Primary Care Networks were created in July 2019 to provide accessible and integrated primary, mental health, and community care for patients. The PCN contract is a Directed Enhanced Service and aims to increase the primary care workforce by 26,000 by 2024. The bulk of the PCN workforce consists of Direct Patient Care staff, funded by the Additional Roles Reimbursement Scheme (ARRS), and each PCN has the flexibility and autonomy to determine which roles are required to meet the specific needs of their local populations. Initially, recruitment focused on clinical pharmacists and social prescribing link workers, with more roles being included over subsequent years. Information about the PCN workforce is provided directly by each PCN, and recorded in the National Workforce Reporting Service (NWRS) which is the same system that is used to collect information about the general practice workforce. This report includes England, Integrated Care Board (ICB), Sub-ICB Location and PCN-level figures for Clinical Directors, Direct Patient Care Workers and Admin/Non-Clinical staff working in PCNs on 30 June 2022. The level of detail in the information that we can collect about each individual varies, as there are different ways that individuals can be contracted to work for their PCN. Some staff work directly for the PCN, including Clinical Directors, administrative workers, and some Direct Patient Care staff. These individuals may have been newly recruited to the PCN, or could be staff transferring some or all of their working hours from a general practice or other organisation. Alternatively, an individual may be employed by a member organisation within the PCN – such as a hospital trust or charity – and deployed to work for the PCN. In both cases, details about the staff member, including the hours worked for the PCN, are recorded in the NWRS. However, in some cases, a role – for example a physiotherapist – is not staffed permanently by a specific individual. Instead, the working hours are covered by a group of physiotherapists, employed by another organisation such as the local ICB, and deployed to the PCN as a “contracted service,” which up until the September 2020 release were referred to in this publication series as “pooled resource”. In these cases, the providing organisation holds a contract with the PCN to deliver the physiotherapy service and supplies appropriately qualified staff, possibly on a rota’d basis. Where the healthcare provision is covered by a contracted service of this nature, it is not possible to identify the separate individuals working within the PCN and in these cases, the PCN provides us with information about the average weekly working hours covered by that “contracted service”. This means that although we can calculate proxy full-time equivalent (FTE) figures relating to the service, no information about headcount or workforce characteristics can be inferred. This means that headcount figures presented in the accompanying Bulletin do not include provision from these “contracted services.” In July 2021, we introduced a new version of the National Workforce Reporting Service (NWRS). The new workforce reporting service is easier to use and has been designed with direct feedback from users. In the contracted services section of the new NWRS, users now need to set the average weekly hours to zero where that service has not been used in the latest period. Previously, users marked the relevant record as inactive. The contracted services data in the June 2022 collection showed a continuing increase in FTE at a greater rate than was seen prior to June 2021. It is possible that this is in part due to PCNs leaving hours information untouched within records for services they have not used, rather than setting them to zero. Guidance has since been issued directly to PCNs to explain this process and it is expected that this will result in more accurate contracted services information being submitted for future collections. For this release, it should be noted that all September 2021, December 2021 and March 2022 FTE figures relating to Direct Patient Care job roles may be inflated as a result of this issue. The completeness and coverage of PCN workforce data is improving and more PCNs are using the new NWRS. We are continuing to monitor progress with the aim of moving to a monthly extraction of PCN workforce data when data quality allows. In May 2022 we introduced a quarterly publication using additional data sources to complement this publication, which brings together FTE staff working in Primary Care Networks, including ad-hoc locums, and those working in General Practice. The first experimental edition was released on 19 May, initially presenting FTE primary care workforce statistics for the direct patient care, nurse and admin/non-clinical staff groups. Tables covering the GP staff group were added to the publication on 16 June, once final ad-hoc locum data became available. See https://digital.nhs.uk/data-and-information/publications/statistical/primary-care-workforce-quarterly-update for more information. We are working continually to improve our publications and we welcome feedback from all users by email to: PrimaryCareWorkforce@nhs.net. Links to other publications presenting healthcare workforce information can be found under Related Links.

The General Practice Workforce series of Official Statistics presents a snapshot of the primary care general practice workforce. A snapshot statistic relates to the situation at a specific date, which for these workforce statistics is the last calendar day in the reporting period. Until July 2021, the snapshots have been produced each quarter and were a record as of 31 March, 30 June, 30 September, and 31 December. However, from July 2021, we are collecting and publishing data on the general practice workforce on a monthly basis and the snapshot will therefore relate to the last calendar day of each month, including weekends and public holidays. This release is the third monthly snapshot, reflecting the general practice workforce at 30 September 2021. These statistics present full-time equivalent (FTE) and headcount figures by four staff groups, (GPs, Nurses, Direct Patient Care (DPC) and administrative staff), with breakdowns of individual job roles within these high-level groups. This is the third release to be based on the monthly collection of general practice workforce information and all figures presented are provisional and potentially subject to revision. In August 2021 we revised the entire time series back to September 2015, making several methodological changes to the way in which the workforce numbers are calculated. Please refer to the Methodological Change Notice in the June 2021 publication. Following stakeholder feedback and the move to monthly publications we are reviewing the implementation of these changes, the impact on the timeseries and the length of time series included in each of these new monthly publications. See the Methodology Review page for more information. Until this review is complete, all published figures remain provisional and we will not be presenting a time series. Therefore, only statistics relating to September 2021 are included in this release. The time series will be reinstated once the review has been concluded and a methodology agreed. For the purposes of NHS workforce statistics, we define full-time working to be 37.5 hours per week. Full-time equivalent is a standardised measure of the workload of an employed person. Using FTE, we can convert part-time and additional working hours into an equivalent number of full-time staff. For example, an individual working 37.5 hours would be classed as 1.0 FTE while a colleague working 30 hours would be 0.8 FTE. The term “headcount” relates to distinct individuals, and as the same person may hold more than one role, care should be taken when interpreting headcount figures. Please refer to the Using this Publication section for information and guidance about the contents of this publication and how it can and cannot be used. The Excel file available with this release presents September 2021 figures only, including CCG-level FTE and headcount breakdowns. CSVs containing practice-level summaries and CCG-level counts of individuals are also available. Please refer to the Publication content, analysis, and release schedule in the Using this publication section for more details of what’s available. England-level time series figures for all job roles back to September 2015 when this series of Official Statistics began are available in the Excel bulletin tables of the June 2021 release of this publication. The June 2021 release also includes the individual and practice-level CSVs back to September 2015. In addition to the snapshot of the main general practice workforce, Annex B in the Excel Bulletin table includes figures relating to the number of ad-hoc locum GPs working in general practice and information about their working hours. These figures used to be included in the main totals, but data relating to ad-hoc locum workforce is collected differently and these figures do not constitute a snapshot. As a result, because they are not directly comparable to the snapshot, we are now reporting these figures separately rather than including them in the overall totals. We are also planning to introduce a quarterly publication, initially focusing on the GP workforce, to complement this new monthly publication, which will bring together GPs working in general practice , including ad-hoc locums and those working in Primary Care Networks and potentially other settings such as A&E streaming. We will continue to provide updates on these plans as they develop. We are continually working to improve our publications to ensure their contents are as useful and relevant as possible for our users. We welcome feedback from all users to PrimaryCareWorkforce@nhs.net.

Discover the booming field data collection software market! This in-depth analysis reveals key trends, growth drivers, leading companies (SafetyCulture, ArcGIS, etc.), and regional market share projections to 2033. Learn how this technology is transforming industries like construction, oil & gas, and environmental management.

This dataset contains information about the Workforce 1 service, a service offered by the Department of Small Business Services (SBS) that connects New Yorkers to job opportunities. Each row in the dataset represents the number of public housing residents on a City Council District-level who receive or utilize this service. For datasets related to other services provided to NYCHA residents, view the data collection “Services available to NYCHA Residents - Local Law 163”.

This data collection contains October 1977 employment and payroll figures by function for state and local governments. Full-time and part-time employment and payrolls are shown for corrections, education, administration, fire protection, health, libraries, police, public welfare, utilities, parks, transit, sewage, and highways. Data are also included for labor-management relations, employee benefits, health, hospital or disability insurance, and life insurance. There are seven files in this data collection. Parts 1-5 provide data for each individual state and local government. Part 6 includes data for county areas (local governmental units within each county). Part 7 contains a United States summary and state summaries for the following types of governments: state and local government total, state government, local government total, local governments in standard metropolitan statistical areas (SMSAs), counties, municipalities, townships, school districts, and special districts.

This is a dataset on 460,452 individuals employed by the Dutch East India Company (Verenigde Oost-Indische Compagnie, VOC) in the seventeenth and especially the eighteenth centuries, developed from 774,200 muster records in the ‘VOC-opvarenden’ collection. The original data has been enhanced through the disambiguation of individual records, the standardization of 44,152 unique place names, and the addition of wage details and rank structure.

This collection includes the original ‘VOC-opvarenden’ dataset (comprising three files), enriched files (totaling nine), integrated external data, and Jupyter notebooks documenting the transformation from original to enriched datasets. The accompanying data paper provides an in-depth overview of the original dataset, the enhancement process, and potential applications. Additionally, it features appendices serving as codebooks, offering concise descriptions of each variable present in the enriched data files.

Enabling research into career patterns, network structures, and migration trends, this resource is of significant value to the study of early modern history, social and economic history, and sociology.