This statistic presents the share of consumers in selected countries who are willing to pay social media providers at least 1 U.S. dollar per month to ensure the protection of their personal information. During the October 2018 survey period it was found that 61 percent of consumers in the United Arab Emirates were inclined to pay such a fee in to protect their personal data, while in comparison only 18 percent of consumers in New Zealand were willing to pay.

Germany Salaries: SI: Other Service Providers data was reported at 69.591 EUR bn in 2024. This records an increase from the previous number of 66.055 EUR bn for 2023. Germany Salaries: SI: Other Service Providers data is updated yearly, averaging 41.596 EUR bn from Dec 1991 (Median) to 2024, with 34 observations. The data reached an all-time high of 69.591 EUR bn in 2024 and a record low of 25.200 EUR bn in 1991. Germany Salaries: SI: Other Service Providers data remains active status in CEIC and is reported by Statistisches Bundesamt. The data is categorized under Global Database’s Germany – Table DE.G034: Wages and Salaries: WZ 2008.

7k USA citizens ' data including contact information, credit score, salary, houses valuation, financial situation, etc This can be used to train AI, ML models, for sales and marketing purposes, credit checking, fraud detection

The goal for Payroll Data Feed is to securely acquire pay data for all Federal Civilian employees by leveraging existing data extraction processes to the extent possible.Depending on the source of pay related data, one provider may submit payroll data for many agencies. Payroll data submissions from providers to EHRI represent actual payroll records in a given pay period. When a payroll data provider makes major system changes, it is responsible for ensuring that data accuracy and completeness are maintained. The Office of Personnel Management should be notified when any major system changes are planned. Then, the Office of Personnel Management will decide whether the payroll data provider should submit test data or continue to submit publication data.

This statistic presents the share of consumers in selected countries who are willing to pay healthcare providers at least 1 U.S. dollar per month to ensure the protection of their personal information. During the October 2018 survey period it was found that 72 percent of consumers in the United Arab Emirates were inclined to pay such a fee in to protect their personal data, while in comparison only 27 percent of consumers in Australia were willing to pay.

Graph and download economic data for Employed full time: Median usual weekly nominal earnings (second quartile): Wage and salary workers: Door-to-door sales workers, news and street vendors, and related workers occupations: 16 years and over (LEU0254552000A) from 2000 to 2011 about second quartile, occupation, full-time, salaries, workers, earnings, 16 years +, wages, sales, median, employment, and USA.

United States - Employed full time: Wage and salary workers: Door-to-door sales workers, news and street vendors, and related workers occupations: 16 years and over: Women was 5.00000 Thous. of Persons in January of 2024, according to the United States Federal Reserve. Historically, United States - Employed full time: Wage and salary workers: Door-to-door sales workers, news and street vendors, and related workers occupations: 16 years and over: Women reached a record high of 29.00000 in January of 2007 and a record low of 5.00000 in January of 2024. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Employed full time: Wage and salary workers: Door-to-door sales workers, news and street vendors, and related workers occupations: 16 years and over: Women - last updated from the United States Federal Reserve on March of 2025.

Brazil Pay TV: Evolution of Pay TV Accesses by Size of the Provider and Company: Large Size data was reported at 8,067,316.000 Unit in Jan 2025. This records a decrease from the previous number of 8,179,945.000 Unit for Dec 2024. Brazil Pay TV: Evolution of Pay TV Accesses by Size of the Provider and Company: Large Size data is updated monthly, averaging 15,840,780.000 Unit from Jan 2012 (Median) to Jan 2025, with 157 observations. The data reached an all-time high of 18,917,145.000 Unit in Mar 2015 and a record low of 8,067,316.000 Unit in Jan 2025. Brazil Pay TV: Evolution of Pay TV Accesses by Size of the Provider and Company: Large Size data remains active status in CEIC and is reported by National Telecommunications Agency. The data is categorized under Brazil Premium Database’s Telecommunication Sector – Table BR.TBA016: Pay TV: Evolution of Pay TV Accesses by Size of the Provider and Company.

Abstract copyright UK Data Service and data collection copyright owner.

The introduction of the National Childcare Strategy in 1998 marked a radical shift in government policy and for the first time put childcare provision firmly on the political map. Since then a wide range of childcare initiatives and funding streams have been introduced, and hence there is a need for regular data to aid the evaluation of recent policy interventions in these areas. The Childcare and Early Years Provision survey series is divided into two survey strands: the Parents’ Survey and the Providers’ Survey.

The Parents’ Survey provides data on parents’ take-up, views and experiences of childcare. Families in England are randomly selected from the Child Benefit Records and all parents had children aged 0-14 years. They are asked about their use and experiences of childcare for all children in the family and to give more detailed information about childcare for a particular child (selected at random where there is more than one child in the family). The current Parents' Survey series replaces two previous surveys: the Survey of Parents of Three and Four-Year-Old Children and Their Use of Early Years Services (conducted between 1997 and 2002) and Parents' Demand for Childcare, conducted in 1999 and 2001 (see SNs 4380 and 4970 respectively).

The Providers' Survey monitors the characteristics and development of childcare and early years providers and the workforce in England. Information was collected on the number and characteristics of providers, the characteristics of the children enrolled, workforce composition, qualifications and training, recruitment and retention, and business operation. The 2016 survey underwent an extensive redesign, which means findings are not comparable with previous surveys.

The 2020 survey was cancelled due to the COVID-19 pandemic

Further information is available on the GOV.UK Childcare and Early Years Statistics webpage.

Special licence dataAdditional, more detailed variables from the Providers' Survey in 2018, 2019 and 2021 are available under Special Licence (SL). The SL data have more restrictive access conditions than those made available under the standard End User Licence (EUL) agreement. Prospective users of the SL version will need to complete an extra application form and demonstrate to the data owners exactly why they need access to the additional variables in order to get permission to use that version. Users are advised to consult the EUL version first and the list of variables available under each study before applying.

The Childcare and Early Years Provision: Providers' Survey, 2018 (CCEYP 2018) collected information on the main characteristics of childcare and early years provision in England to allow the evaluation of policy initiatives. The Department for Education (DfE) commissioned the National Centre for Social Research (NatCen) and Frontier Economics to conduct the CCEYP 2018. Data were collected via a large scale Computer Assisted Telephone Interviewing (CATI) survey. The 2018 survey was designed to be comparable with the 2016 survey, notwithstanding some changes to improve the quality of data and to reflect new policy priorities. Other differences between the 2016 and 2018 surveys, such as minor differences to the sampling process, are detailed in the technical report.

The SL version of CCEYP 2018 is available from the UK Data Archive under SN 8955.

Latest edition information
For the second edition (May 2022), the data and documentation have been updated. Further information is available in the documentation.

Main Topics:

This data covers a variety of subjects such as attendance and capacity; staff-to-child ratios; delivery of Government policies including funded entitlements and TFC; children with Special Educational Needs and Disabilities (SEND); staff qualifications and pay; and the financial side of providing childcare such as costs, incomes and fees.

Graph and download economic data for Employed full time: Wage and salary workers: Door-to-door sales workers, news and street vendors, and related workers occupations: 16 years and over: Women (LEU0254712200A) from 2000 to 2024 about occupation, females, full-time, salaries, workers, 16 years +, wages, sales, employment, and USA.

This data collection contains two data files derived from information gathered in the initial screening and Round 1 interviews of the Household Survey component of the 1987 NATIONAL MEDICAL EXPENDITURE SURVEY (NMES). The Person File contains data on each person sampled in the first round of the Household Survey. Data are included on each sampled person's self-reported coverage under private health insurance and public programs such as Medicaid, Medicare, and CAMPUS/CAMPVA. In addition, data describe difficulties and help with activities of daily living such as bathing, dressing, eating, toileting, handling money, walking, shopping, preparation of meals, light housekeeping, and the use of telephones and transportation. For persons with difficulties in activities of daily living, there is also information on prior nursing home institutionalization and the use of special equipment, adult day care, senior centers, home-delivered and congregate meals, special transportation, and telephone assurance. The Person File covers a broad range of personal background variables: age, sex, race, ethnicity, Hispanic ancestry, marital status, family relationships, educational status, employment status, occupation, industry, wages and salary, length of time at work, characteristics of the workplace, union membership, and military service. The Home Health Provider File contains data (as reported by the Household Survey respondents) on each provider of formal or informal services who came to the home of a person in the Household Survey sample within a month of the Round 1 interview. Information in the Home Health Provider File includes date of the provider's last visit, length of stay in the home, type of services rendered, provider's place of work, provider's medical specialty, if any, and whether or not the provider was a relative of the person receiving help.

Data revealed that the number of traditional pay TV households in the United States stood at around 58 million in 2023. This figure will likely drop further over the next few years and amount to less than 41 million by 2028. Meanwhile, digital pay TV is becoming increasingly popular. Pay TV is fighting an uphill battle The United States is one of the largest pay TV markets worldwide based on penetration. But even though millions of viewers frequently tune in to watch their favorite shows, news broadcasts, and sports events on the small screen, the U.S. pay TV industry is facing enormous challenges. More viewers are canceling their cable or satellite subscriptions than ever, be it because of mounting prices, limited content offerings, or the proliferation of over-the-top (OTT) video services and streaming platforms. Based on the latest data, over half of TV households in the country are currently without a telco, cable, or satellite TV provider. Can cable companies combat subscriber loss? The cord-cutting movement and other recent changes in consumer behavior have had a substantial impact on the pay TV landscape and its players. In 2023, U.S. pay TV providers suffered a combined net subscriber loss of around five million viewers. This downward trend also extends to the largest pay TV providers in the U.S., such as Charter and Comcast. However, they have recently ventured into the world of streaming to offset subscriber losses, but whether this expansion will be enough to effectively combat churn remains to be seen.

Wages in Russia increased to 128665 RUB/Month in December from 86399 RUB/Month in November of 2024. This dataset provides the latest reported value for - Russia Average Monthly Wages - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

List of entities that install and maintain pay telephones in commercial and/or in public space(s).

Graph and download economic data for Internet Service Providers, Web Search Portals, and Data Processing Services Payroll Employment in Texas (TX518000M158FRBDAL) from Feb 1990 to Dec 2024 about internet, processed, payrolls, TX, services, employment, rate, and USA.

These files present complaints recorded by Ofcom against the largest telecoms and pay-TV providers. Since May 2015 we have released these quarterly datasets in csv format.

This information is intended to help consumers make better-informed decisions. We believe that the publication of such information is useful for consumers, especially those who are thinking about changing provider or purchasing a new service. We also believe that publication of provider-specific complaint volumes incentivises providers to improve their performance.

Snapshot img

Payroll Outsourcing Services Market Size 2025-2029

The payroll outsourcing services market size is forecast to increase by USD 6.52 billion, at a CAGR of 5% between 2024 and 2029.

The market is experiencing significant growth due to several key trends. One of the primary drivers is the increasing need for payroll cost visibility, as businesses seek to better manage their labor expenses. Another trend is the rise of multi-country and centralized outsourcing models, which enable organizations to manage their global payroll operations more efficiently. However, there are also challenges associated with payroll outsourcing, such as issues related to geographical transition and ensuring data security. By addressing these challenges, payroll outsourcing providers can offer valuable solutions to businesses looking to streamline their payroll processes and reduce operational costs. In summary, the market is poised for continued growth due to these market trends and the benefits they offer to businesses.

What will be the Size of the Market During the Forecast Period?

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Payroll outsourcing has become an increasingly popular solution for businesses seeking to offload administrative tasks related to employee pay and wages. A payroll outsourcing firm acts as a third-party service provider, assuming responsibility for payroll processing, tax withholding, and generating payroll reports. By outsourcing these functions, businesses can focus on their core competencies and streamline operations. The payroll outsourcing market caters to businesses of all sizes, from small to large enterprises. For small and medium-sized businesses, outsourcing payroll processes offers cost savings and access to specialized expertise without the need for extensive in-house resources. Larger businesses, too, benefit from the efficiency gains and reduced risk of non-compliance with complex labor laws.
The payroll system employed by payroll outsourcing firms is typically advanced and capable of handling a multitude of payroll processes, including tax calculations, bonuses, and wage adjustments. These firms invest heavily in training their staff to ensure accurate and timely payroll processing. Data security is a critical concern for businesses when outsourcing payroll processes. Reputable payroll outsourcing firms employ strong data security measures to protect sensitive employee information and prevent data breaches. Hybrid payroll solutions, which combine both in-house and outsourced payroll processing, offer businesses the flexibility to maintain control over certain aspects of their payroll while outsourcing others.

How is this market segmented and which is the largest segment?

The market research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD billion' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments.

Product

  Hybrid
  Fully outsourced


Type

  Mid-market
  National
  Multinational


Geography

  North America

    Canada
    US


  Europe

    Germany
    UK
    France
    Italy
    Spain


  APAC

    China
    Japan


  South America

    Brazil


  Middle East and Africa

By Product Insights

The hybrid segment is estimated to witness significant growth during the forecast period.

Payroll outsourcing is a strategic business decision that enables organizations to offload the complex and time-consuming process of managing employee salaries and wages to specialized service providers. By outsourcing payroll processes, companies can focus on their core businesses while ensuring data confidentiality and work automation. Payroll outsourcing services offer country-specific models tailored to various governance systems, processes, and policies, enabling organizations to optimize their payroll operations. Highly transactional processes, such as payroll, are ideal for outsourcing due to their clear sub-processes and required skill sets. Outsourcing payroll also facilitates record-keeping, reduces costs, and enables labor arbitrage. Global organizations increasingly adopt payroll outsourcing services to streamline their payroll processes and maintain compliance with local regulations.

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The hybrid segment was valued at USD 13.35 billion in 2019 and showed a gradual increase during the forecast period.

Regional Analysis

North America is estimated to contribute 56% to the growth of the global market during the forecast period.

Technavio's analysts have elaborately explained the regional trends and drivers that shape the market during the forecast period.

For more insights on the market share of various regions Request Free Sample

Payroll outsourcing services in North America are experiencing steady growth, particularly in the

Subscribers can find out export and import data of 23 countries by HS code or product’s name. This demo is helpful for market analysis.

Abstract

This study examines various dimensions of primary health care delivery in Uganda, using a baseline survey of public and private dispensaries, the most common lower level health facilities in the country.

The survey was designed and implemented by the World Bank in collaboration with the Makerere Institute for Social Research and the Ugandan Ministries of Health and of Finance, Planning and Economic Development. It was carried out in October - December 2000 and covered 155 local health facilities and seven district administrations in ten districts. In addition, 1617 patients exiting health facilities were interviewed. Three types of dispensaries (both with and without maternity units) were included: those run by the government, by private for-profit providers, and by private nonprofit providers, mainly religious.

This research is a Quantitative Service Delivery Survey (QSDS). It collected microlevel data on service provision and analyzed health service delivery from a public expenditure perspective with a view to informing expenditure and budget decision-making, as well as sector policy.

Objectives of the study included: 1) Measuring and explaining the variation in cost-efficiency across health units in Uganda, with a focus on the flow and use of resources at the facility level; 2) Diagnosing problems with facility performance, including the extent of drug leakage, as well as staff performance and availability;
3) Providing information on pricing and user fee policies and assessing the types of service actually provided; 4) Shedding light on the quality of service across the three categories of service provider - government, for-profit, and nonprofit; 5) Examining the patterns of remuneration, pay structure, and oversight and monitoring and their effects on health unit performance; 6) Assessing the private-public partnership, particularly the program of financial aid to nonprofits.

Geographic coverage

The study districts were Mpigi, Mukono, and Masaka in the central region; Mbale, Iganga, and Soroti in the east; Arua and Apac in the north; and Mbarara and Bushenyi in the west.

Analysis unit

• local dispensary with or without maternity unit

Universe

The survey covered government, for-profit and nonprofit private dispensaries with or without maternity units in ten Ugandan districts.

Kind of data

Sample survey data [ssd]

Sampling procedure

The survey covered government, for-profit and nonprofit private dispensaries with or without maternity units in ten Ugandan districts.

The sample design was governed by three principles. First, to ensure a degree of homogeneity across sampled facilities, attention was restricted to dispensaries, with and without maternity units (that is, to the health center III level). Second, subject to security constraints, the sample was intended to capture regional differences. Finally, the sample had to include facilities in the main ownership categories: government, private for-profit, and private nonprofit (religious organizations and NGOs). The sample of government and nonprofit facilities was based on the Ministry of Health facility register for 1999. Since no nationwide census of for-profit facilities was available, these facilities were chosen by asking sampled government facilities to identify the closest private dispensary.

Of the 155 health facilities surveyed, 81 were government facilities, 30 were private for-profit facilities, and 44 were nonprofit facilities. An exit poll of clients covered 1,617 individuals.

The final sample consisted of 155 primary health care facilities drawn from ten districts in the central, eastern, northern, and western regions of the country. It included government, private for-profit, and private nonprofit facilities. The nonprofit sector includes facilities owned and operated by religious organizations and NGOs. Approximately one third of the surveyed facilities were dispensaries without maternity units; the rest provided maternity care. The facilities varied considerably in size, from units run by a single individual to facilities with as many as 19 staff members.

Ministry of Health facility register for 1999 was used to design the sampling frame. Ten districts were randomly selected. From the selected districts, a sample of government and private nonprofit facilities and a reserve list of replacement facilities were randomly drawn. Because of the unreliability of the register for private for-profit facilities, it was decided that for-profit facilities would be identified on the basis of information from the government facilities sampled. The administrative records for facilities in the original sample were first reviewed at the district headquarters, where some facilities that did not meet selection criteria and data collection requirements were dropped from the sample. These were replaced by facilities from the reserve list. Overall, 30 facilities were replaced.

The sample was designed in such a way that the proportion of facilities drawn from different regions and ownership categories broadly mirrors that of the universe of facilities. Because no nationwide census of for-profit health facilities is available, it is difficult to assess the extent to which the sample is representative of this category. A census of health care facilities in selected districts, carried out in the context of the Delivery of Improved Services for Health (DISH) project supported by the U.S. Agency for International Development (USAID), suggests that about 63 percent of all facilities operate on a for-profit basis, while government and nonprofit providers run 26 and 11 percent of facilities, respectively. This would suggest an undersampling of private providers in the survey. It is not clear, however, whether the DISH districts are representative of other districts in Uganda in terms of the market for health care.

For the exit poll, 10 interviews per facility were carried out in approximately 85 percent of the facilities. In the remaining facilities the target of 10 interviews was not met, as a result of low activity levels.

Sampling deviation

In the first stage in the sampling process, eight districts (out of 45) had to be dropped from the sample frame due to security concerns. These districts were Bundibugyo, Gulu, Kabarole, Kasese, Kibaale, Kitgum, Kotido, and Moroto.

Mode of data collection

Face-to-face [f2f]

Research instrument

The following survey instruments are available:

• District Health Team Questionnaire;
• District Facility Data Sheets;
• Uganda Health Facility Survey Questionnaire;
• Facility Data Sheets;
• Facility Patient Exit Poll Questionnaire.

The survey collected data at three levels: district administration, health facility, and client. In this way it was possible to capture central elements of the relationships between the provider organization, the frontline facility, and the user. In addition, comparison of data from different levels (triangulation) permitted cross-validation of information.

At the district level, a District Health Team Questionnaire was administered to the district director of health services (DDHS), who was interviewed on the role of the DDHS office in health service delivery. Specifically, the questionnaire collected data on health infrastructure, staff training, support and supervision arrangements, and sources of financing.

The District Facility Data Sheet was used at the district level to collect more detailed information on the sampled health units for fiscal 1999-2000, including data on staffing and the related salary structures, vaccine supplies and immunization activity, and basic and supplementary supplies of drugs to the facilities. In addition, patient data, including monthly returns from facilities on total numbers of outpatients, inpatients, immunizations, and deliveries, were reviewed for the period April-June 2000.

At the facility level, the Uganda Health Facility Survey Questionnaire collected a broad range of information related to the facility and its activities. The questionnaire, which was administered to the in-charge, covered characteristics of the facility (location, type, level, ownership, catchment area, organization, and services); inputs (staff, drugs, vaccines, medical and nonmedical consumables, and capital inputs); outputs (facility utilization and referrals); financing (user charges, cost of services by category, expenditures, and financial and in-kind support); and institutional support (supervision, reporting, performance assessment, and procurement). Each health facility questionnaire was supplemented by a Facility Data Sheet (FDS). The FDS was designed to obtain data from the health unit records on staffing and the related salary structure; daily patient records for fiscal 1999-2000; the type of patients using the facility; vaccinations offered; and drug supply and use at the facility.

Finally, at the facility level, an exit poll was used to interview about 10 patients per facility on the cost of treatment, drugs received, perceived quality of services, and reasons for using that unit instead of alternative sources of health care.

Cleaning operations

Detailed information about data editing procedures is available in "Data Cleaning Guide for PETS/QSDS Surveys" in external resources.

STATA cleaning do-files and the data quality reports on the datasets can also be found in external resources.