The System of Health Accounts (SHA) establishes a methodological framework within which countries can produce internationally comparable estimates of their population's consumption of goods and services for health and long-term care. The compilation of these 'Health Accounts' is mandatory for the Member States of the European Union. The standardised framework allows making comparisons on how these services are provided, for what purpose and who bears part of the financing burden.

The billing statistics contain tax information in the form of a summary of taxes, fees and reductions charged. Tax information is reported for the entire country. You can see them broken down by county and type of taxpayer (physical or legal).

The Texas Department of Insurance (TDI) collects and reports information about billing rates for emergency service providers within political subdivisions as reported by those political subdivisions. The National Provider Identifier Standard (NPI) is a unique ten-digit identification number for covered health care providers. This dataset relates emergency service providers by NPI with the political subdivisions where they operate by year and quarter. There is a row for each emergency service provider operating within a political subdivision. Subdivisions with more than one provider operating in them or providers operating in more than one subdivision will be listed in multiple rows. The data includes the year and quarter the information applies to as well as the date the political subdivision submitted their report. The Texas Legislature amended Texas Insurance Code Chapter 38 via Senate Bill 2476 during the 88th session to add reporting “relating to consumer protections against certain medical and health care billing by emergency medical services providers. A political subdivision may submit to the department a rate set, controlled, or regulated by the political subdivision for emergency services.” ► For contact information, refer to dataset:  Emergency Services Billing Rates - Contact List. ► For procedure codes rates, refer to dataset:  Emergency Services Billing Rates - Code Rates. ► For ZIP codes within political subdivisions, refer to dataset:  Emergency Services Billing Rates - ZIPs. Users are responsible for reviewing and updating data before the submission deadlines. Information entered or found in this dataset is subject to change. Visit TDI’s web site disclaimer for more information. For more information related to this data, visit TDI’s FAQ page.

In 2021, the global end user carrier billing spend on content and commerce was approximately 41.63 billion U.S. dollars, with 17.26 billion U.S. dollars worth of spending coming from the Far East and China. The direct carrier billing market, which this figure encompasses, includes consumer spend on digital content billed via carrier billing, together with associated operator revenues. The content types covered include the following: games, video, music, ePublishing, lifestyle content, ticketing, gambling, and remote physical goods purchases.

Payment Statistics Quarterly is reported by payment service providers, it records non-cash payments by non-monetary financial institutions which include Credit Transfers, Direct Debits, Card based Payment Transactions, E-money Transactions and Cheques.

The Texas Department of Insurance, Division of Workers' Compensation (DWC) maintains a database of professional medical billing services (SV1). It contains charges, payments, and treatments billed on a CMS-1500 form by doctors and other health care professionals who treat injured employees, including ambulatory surgical centers, with dates of service for the last five years. For datasets going back to 2010, see professional medical billing services (SV1) header information – historical.

The header identifies insurance carriers, injured employees, employers, place of service, and diagnostic information. The bill header information groups individual line items reported in the detail section. The bill selection date and bill ID must be used to group individual line items into a single bill. Find more information in our professional medical billing services (SV1) header data dictionary.

See professional medical billing services (SV1) detail information for the corresponding detail records related to this dataset.

Go to our page on DWC medical state reporting public use data file (PUDF) to learn more about using this information.

The 'Hospital Billing' event log was obtained from the financial modules of the ERP system of a regional hospital. The event log contains events that are related to the billing of medical services that have been provided by the hospital. Each trace of the event log records the activities executed to bill a package of medical services that were bundled together. The event log does not contain information about the actual medical services provided by the hospital.

The 100,000 traces in the event log are a random sample of process instances that were recorded over three years. Several attributes such as the 'state' of the process, the 'caseType', the underlying 'diagnosis' etc. are included in the event log. Events and attribute values have been anonymized. The time stamps of events have been randomized for this purpose, but the time between events within a trace has not been altered.

More information about the event log can be found in the related publications.

The Texas Department of Insurance, Division of Workers’ Compensation (DWC) maintains a database of pharmacy medical billing services (SV4). It contains charges, payments, and prescriptions billed on a DWC Form-066, Statement of Pharmacy Services by pharmacies with dates of service for the last five years. For datasets going back to 2010, see pharmacy medical billing services (SV4) header information – historical. The header identifies insurance carriers, injured employees, employers, place of service, and diagnostic information. The bill header information groups individual line items reported in the detail section. The bill selection date and bill ID must be used to group individual line items into a single bill. Find more information in our pharmacy medical billing services (SV4) header data dictionary. See pharmacy medical billing services (SV4) detail information for the corresponding detail records related to this dataset. Go to our page on DWC medical state reporting public use data file (PUDF) to learn more about using this information.

The Medical Billing Market Share size and share are expected to exceed USD 53.75 billion by 2034, with a compound annual growth rate (CAGR) of 12.1%.

Ecuador Debit Cards: Total Billing data was reported at 166,081,458.703 USD in Apr 2019. This records an increase from the previous number of 146,755,949.672 USD for Mar 2019. Ecuador Debit Cards: Total Billing data is updated monthly, averaging 106,142,177.285 USD from Jan 2015 (Median) to Apr 2019, with 52 observations. The data reached an all-time high of 205,288,079.969 USD in Dec 2018 and a record low of 59,240,238.000 USD in Feb 2015. Ecuador Debit Cards: Total Billing data remains active status in CEIC and is reported by Superintendence of Banks. The data is categorized under Global Database’s Ecuador – Table EC.KA010: Debit Cards Statistics.

The monthly card payment statistics provide data in relation to credit and debit card transactions undertaken by Irish resident households. The data includes the monthly value and volume of transactions across both credit and debit cards by Irish households. The data is collected from issuers of credit and debit cards and specifically from reporting agents that are resident in Ireland (including established foreign branches). The aggregate data is further broken down into, remote and non-remote card spending; contactless and mobile wallet card spending; sectoral card spending; domestic and non-domestic card spending; regional card spending in Ireland; and cash withdrawals. A breakdown of the number of credit & debit cards currently issued to Irish residents is also provided. Note, only Personal Cards are in scope for this reporting, business cards and cards issued to non-Irish residents are not included. Additionally, data files uploaded here follow the SDMX –ML format where Series Key are the primary identifier for a reporting period (Date for which the data is reported is represented in the Reporting Period field). For example : PCI.M.IE.W2.PCS_ALL.11.PN is the series key and each element/dimension between the delimiter “.” is expanded with a description in subsequent columns ending with the subscript “DESC” to understand the meaning of each element/dimension. The Observation_free column represents the value (€ EUR) or Volume (PN) of transactions depending on the last element/dimension, EUR or PN. For further information on the Payment Statistics Monthly, the reporting instructions in the Landing page link has additional details about the table and the column names used in this data collection.

The Texas Department of Insurance, Division of Workers' Compensation (DWC) maintains a database of institutional medical billing services (SV2). It contains charges, payments, and treatments billed on a CMS-1450 form (UB-92, UB-04) by hospitals and medical facilities that treat injured employees, excluding ambulatory surgical centers, with dates of service more than five years old. For datasets from the past five years, see institutional medical billing services (SV2) header information. The header identifies insurance carriers, injured employees, employers, place of service, and diagnostic information. The bill header information groups individual line items reported in the detail section. The bill selection date and bill ID must be used to group individual line items into a single bill. Find more information in our institutional medical billing services (SV2) header data dictionary. See institutional medical billing services (SV2) detail information- historical for the corresponding detail records related to this dataset. Go to our page on DWC medical state reporting public use data file (PUDF) to learn more about using this information.

Information on utilization and payment data for Home health agency, Hospice, skilled nursing facitlity. Information on Inpatient Prospective Payment System (IPPS) payments, Inpatient Rehabilitation Facilities (IRFs)

The CMS Program Statistics - Medicare Physician, Non-Physician Practitioner and Supplier tables provide use and payment data for physicians, other practitioners, limited-licensed practitioners, and durable medical equipment, prosthetic, and orthotic (DMEPOS) suppliers.

For additional information on enrollment, providers, and Medicare use and payment, visit the CMS Program Statistics page.

These data do not exist in a machine-readable format, so the view data and API options are not available. Please use the download function to access the data.

Below is the list of tables:

MDCR PHYSSUPP 1. Medicare Physicians, Non-Physician Practitioners, and Suppliers: Utilization, Program Payments, Cost Sharing, and Balance Billing for Original Medicare Beneficiaries, by Type of Entitlement, Yearly Trend MDCR PHYSSUPP 2. Medicare Physicians, Non-Physician Practitioners, and Suppliers: Utilization, Program Payments, Cost Sharing, and Balance Billing for Original Medicare Beneficiaries, by Demographic Characteristics and Medicare-Medicaid Enrollment Status MDCR PHYSSUPP 3. Medicare Physicians, Non-Physician Practitioners, and Suppliers: Utilization, Program Payments, Cost Sharing, and Balance Billing for Original Medicare Beneficiaries, by Area of Residence MDCR PHYSSUPP 4. Medicare Physicians, Non-Physician Practitioners, and Suppliers: Utilization, Program Payments, and Balance Billing for Original Medicare Beneficiaries, by Type of Service MDCR PHYSSUPP 5. Medicare Physicians, Non-Physician Practitioners, and Suppliers: Utilization, Program Payments, and Balance Billing for Original Medicare Beneficiaries, by Place of Service MDCR PHYSSUPP 6. Medicare Physicians, Non-Physician Practitioners, and Suppliers: Utilization, Program Payments, and Balance Billing for Original Medicare Beneficiaries, by Physician Specialty MDCR PHYSSUPP 7. Medicare Physicians, Non-Physician Practitioners, and Suppliers: Utilization and Program Payments for Original Medicare Beneficiaries, by Berenson-Eggers Type of Service (BETOS) Classification

The dataset contains year, month and payment application-wise UPI Apps Transaction Statistics like Customer Initiated Transactions, B2C Transactions, B2B Transactions and On-us Transactions Note: 1) Unified Payments Interface(UPI) is an instant real-time payment system developed by National Payments Corporation of India. The interface facilitates inter-bank peer-to-peer and person-to-merchant transactions 2) From January 2021 onwards, ‚On-us Transactions‚ in UPI that are not processed and settled through the UPI Central System is shown under ‚ On-us Transactions column 3) Apps which has volume less than 10,000 is included under‚ Other Apps. 4) App volume in table is basis the Payer App logic, i.e the financial transaction is attributed to the PSP in UPI on the Payer's side. 5) BHIM Volume is inclusive of *99# volume. 6) For WhatsApp, Maximum registered user base of hundred (100) million in UPI

 Primary Parcel file containing primary owner and land information; Addn file containing drawing vectors for dwelling records; Additional Address file containing any additional addresses that exist for a parcel; Assessment file containing assessed value-related data; Appraisal file containing appraised value-related data; Commercial file containing primary commercial data; Commercial Apt containing commercial apartment data; Commercial Interior Exterior data Dwelling file Entrance data containing data from appraisers' visits; Other Buildings and Yard Improvements Sales File Tax Rate File for the current billing cycle by taxing district authority and property class; and, Tax Payments File containing tax charges and payments for current billing cycle.In addition to the CSV files, the following are included: Data Dictionary PDF; and, St Louis County Rate Book for the current tax billing cycle.

A July 2022 survey of American adults found that 47 percent of responding online payment users aged 18 to 49 years were somewhat confident that payment apps or sites keep their information safe from hackers or unauthorized users. Among those aged 50 years and older, almost four in ten were a little or not at all concerned about this.

According to a survey conducted in Australia, about 87.5 percent of health services in Australia required no payment from the patients in the financial year 2020. In the previous fiscal year, bulking billing covered 86.5 percent of the health services' costs.

A July 2022 survey of American adults found that 46 percent of digital payment users were somewhat confident that payment apps or sites keep their information safe from hackers or unauthorized users. A further 34 percent of respondents were a little or not at all concerned about this.