In 2024, the number of data compromises in the United States stood at 3,158 cases. Meanwhile, over 1.35 billion individuals were affected in the same year by data compromises, including data breaches, leakage, and exposure. While these are three different events, they have one thing in common. As a result of all three incidents, the sensitive data is accessed by an unauthorized threat actor. Industries most vulnerable to data breaches Some industry sectors usually see more significant cases of private data violations than others. This is determined by the type and volume of the personal information organizations of these sectors store. In 2024 the financial services, healthcare, and professional services were the three industry sectors that recorded most data breaches. Overall, the number of healthcare data breaches in some industry sectors in the United States has gradually increased within the past few years. However, some sectors saw decrease. Largest data exposures worldwide In 2020, an adult streaming website, CAM4, experienced a leakage of nearly 11 billion records. This, by far, is the most extensive reported data leakage. This case, though, is unique because cyber security researchers found the vulnerability before the cyber criminals. The second-largest data breach is the Yahoo data breach, dating back to 2013. The company first reported about one billion exposed records, then later, in 2017, came up with an updated number of leaked records, which was three billion. In March 2018, the third biggest data breach happened, involving India’s national identification database Aadhaar. As a result of this incident, over 1.1 billion records were exposed.

This work is made available under the Creative Commons Attribution-NonCommercial-ShareAlike 3.0 IGO license (CC BY-NC-SA 3.0 IGO). In addition to this license, some database specific terms of use are listed: Statistical Database Terms of Use.

Latvia Hours Paid: AS: Security and Investigation Activities data was reported at 4,679,476.000 Hour in Mar 2018. This records a decrease from the previous number of 4,884,639.000 Hour for Dec 2017. Latvia Hours Paid: AS: Security and Investigation Activities data is updated quarterly, averaging 4,599,721.000 Hour from Mar 2005 (Median) to Mar 2018, with 53 observations. The data reached an all-time high of 6,071,768.000 Hour in Sep 2008 and a record low of 4,081,955.000 Hour in Jun 2012. Latvia Hours Paid: AS: Security and Investigation Activities data remains active status in CEIC and is reported by Central Statistical Bureau of Latvia. The data is categorized under Global Database’s Latvia – Table LV.G022: Hours Paid and Hours Worked: Statistical Classification of Economic Activities Revision 2.

This database automatically captures metadata, the source of which is the GOVERNMENT OF THE REPUBLIC OF SLOVENIA STATISTICAL USE OF THE REPUBLIC OF SLOVENIA and corresponding to the source database entitled “Safety in smartphone usage in the last 12 months for private purposes by individuals, by activity status, Slovenia, 2018”.

Actual data are available in Px-Axis format (.px). With additional links, you can access the source portal page for viewing and selecting data, as well as the PX-Win program, which can be downloaded free of charge. Both allow you to select data for display, change the format of the printout, and store it in different formats, as well as view and print tables of unlimited size, as well as some basic statistical analyses and graphics.

This database automatically captures metadata sourced from the GOVERNMENT OF THE REPUBLIC OF SLOVENIA STATISTICAL OF THE REPUBLIC OF SLOVENIA and corresponding to the source database entitled “Number of enterprises holding a document(s) on security measures, practices or procedures for the secure use of ICT in enterprises, by size class, Slovenia, 2019”.

Actual data are available in Px-Axis format (.px). With additional links, you can access the source portal page for viewing and selecting data, as well as the PX-Win program, which can be downloaded free of charge. Both allow you to select data for display, change the format of the printout, and store it in different formats, as well as view and print tables of unlimited size, as well as some basic statistical analyses and graphics.

During the third quarter of 2025, data breaches exposed more than ** million records worldwide. Since the first quarter of 2020, the highest number of data records were exposed in the third quarter of ****, more than **** billion data sets. Data breaches remain among the biggest concerns of company leaders worldwide. The most common causes of sensitive information loss were operating system vulnerabilities on endpoint devices. Which industries see the most data breaches? Meanwhile, certain conditions make some industry sectors more prone to data breaches than others. According to the latest observations, the public administration experienced the highest number of data breaches between 2021 and 2022. The industry saw *** reported data breach incidents with confirmed data loss. The second were financial institutions, with *** data breach cases, followed by healthcare providers. Data breach cost Data breach incidents have various consequences, the most common impact being financial losses and business disruptions. As of 2023, the average data breach cost across businesses worldwide was **** million U.S. dollars. Meanwhile, a leaked data record cost about *** U.S. dollars. The United States saw the highest average breach cost globally, at **** million U.S. dollars.

The largest reported data leakage as of January 2025 was the Cam4 data breach in March 2020, which exposed more than 10 billion data records. The second-largest data breach in history so far, the Yahoo data breach, occurred in 2013. The company initially reported about one billion exposed data records, but after an investigation, the company updated the number, revealing that three billion accounts were affected. The National Public Data Breach was announced in August 2024. The incident became public when personally identifiable information of individuals became available for sale on the dark web. Overall, the security professionals estimate the leakage of nearly three billion personal records. The next significant data leakage was the March 2018 security breach of India's national ID database, Aadhaar, with over 1.1 billion records exposed. This included biometric information such as identification numbers and fingerprint scans, which could be used to open bank accounts and receive financial aid, among other government services.

Cybercrime - the dark side of digitalization As the world continues its journey into the digital age, corporations and governments across the globe have been increasing their reliance on technology to collect, analyze and store personal data. This, in turn, has led to a rise in the number of cyber crimes, ranging from minor breaches to global-scale attacks impacting billions of users – such as in the case of Yahoo. Within the U.S. alone, 1802 cases of data compromise were reported in 2022. This was a marked increase from the 447 cases reported a decade prior. The high price of data protection As of 2022, the average cost of a single data breach across all industries worldwide stood at around 4.35 million U.S. dollars. This was found to be most costly in the healthcare sector, with each leak reported to have cost the affected party a hefty 10.1 million U.S. dollars. The financial segment followed closely behind. Here, each breach resulted in a loss of approximately 6 million U.S. dollars - 1.5 million more than the global average.

Iceland Number of Registered Enterprises: Security and Commodity Contracts Brokerage data was reported at 12.000 Unit in 2017. This stayed constant from the previous number of 12.000 Unit for 2016. Iceland Number of Registered Enterprises: Security and Commodity Contracts Brokerage data is updated yearly, averaging 14.000 Unit from Dec 2008 (Median) to 2017, with 10 observations. The data reached an all-time high of 21.000 Unit in 2009 and a record low of 10.000 Unit in 2012. Iceland Number of Registered Enterprises: Security and Commodity Contracts Brokerage data remains active status in CEIC and is reported by Statistics Iceland . The data is categorized under Global Database’s Iceland – Table IS.O013: Number of Registered Enterprises: Statistical Classification of Economic Activities Revision 2.

This database automatically captures metadata, the source of which is the GOVERNMENT OF THE REPUBLIC OF SLOVENIA STATISTICAL USE OF THE REPUBLIC OF SLOVENIA and corresponding to the source database entitled “Consequences of security incidents encountered by financial sector enterprises with 10 or more persons employed in the previous year, by enterprise activity (NACE Rev. 2), Slovenia, 2010”.

Actual data are available in Px-Axis format (.px). With additional links, you can access the source portal page for viewing and selecting data, as well as the PX-Win program, which can be downloaded free of charge. Both allow you to select data for display, change the format of the printout, and store it in different formats, as well as view and print tables of unlimited size, as well as some basic statistical analyses and graphics.

This database automatically captures metadata sourced from the GOVERNMENT OF THE REPUBLIC OF SLOVENIA STATISTICAL USE OF SLOVENIA and corresponding to the source database entitled “Number of enterprises with 10 or more employees and self-employed that encountered problems due to ICT-related security incidents by activity in the previous year (NACE Rev. 2), Slovenia, 2019”.

Actual data are available in Px-Axis format (.px). With additional links, you can access the source portal page for viewing and selecting data, as well as the PX-Win program, which can be downloaded free of charge. Both allow you to select data for display, change the format of the printout, and store it in different formats, as well as view and print tables of unlimited size, as well as some basic statistical analyses and graphics.

Latvia Average Wages and Salaries: Gross: AS: Security and Investigation Activities data was reported at 661.190 EUR in Mar 2018. This records an increase from the previous number of 604.170 EUR for Feb 2018. Latvia Average Wages and Salaries: Gross: AS: Security and Investigation Activities data is updated monthly, averaging 482.700 EUR from Jan 2005 (Median) to Mar 2018, with 159 observations. The data reached an all-time high of 661.190 EUR in Mar 2018 and a record low of 236.580 EUR in Feb 2005. Latvia Average Wages and Salaries: Gross: AS: Security and Investigation Activities data remains active status in CEIC and is reported by Central Statistical Bureau of Latvia. The data is categorized under Global Database’s Latvia – Table LV.G018: Average Wages and Salaries: Statistical Classification of Economic Activities Revision 2.

The source of the data to be published is the Border Control Database (PIKO). The purpose of the establishment of the border control database is to ensure internal security and public order through the processing of data collected by persons and means of transport upon crossing the border. The data contained in the border control database shall be used for the analysis and statistical purposes of activities and events related to ensuring internal security.

This database automatically captures metadata, the source of which is the GOVERNMENT OF THE REPUBLIC OF SLOVENIA STATISTICAL USE OF THE REPUBLIC OF SLOVENIA and corresponding to the source database entitled “Number of individuals in terms of security when using a smartphone in the last 3 months for private purposes, by activity status, Slovenia, 2020”.

Actual data are available in Px-Axis format (.px). With additional links, you can access the source portal page for viewing and selecting data, as well as the PX-Win program, which can be downloaded free of charge. Both allow you to select data for display, change the format of the printout, and store it in different formats, as well as view and print tables of unlimited size, as well as some basic statistical analyses and graphics.

Czech Republic Electricity Consumption: NG: Security and Investigation Activities data was reported at 11,013.035 GJ in 2022. This records an increase from the previous number of 10,767.883 GJ for 2021. Czech Republic Electricity Consumption: NG: Security and Investigation Activities data is updated yearly, averaging 130,129.000 GJ from Dec 2007 (Median) to 2022, with 16 observations. The data reached an all-time high of 291,477.000 GJ in 2010 and a record low of 10,767.883 GJ in 2021. Czech Republic Electricity Consumption: NG: Security and Investigation Activities data remains active status in CEIC and is reported by Czech Statistical Office. The data is categorized under Global Database’s Czech Republic – Table CZ.RB005: Energy Consumption: Electricity: by Industry: Statistical Classification of Economic Activities Rev. 2.

Note: AED, Adverse Effects Database; BMI, Body Mass Index; BN, Bureau of Nutrition Department of Health; BNCD, Bureau of Non-Communicable Disease; BP, Blood Pressure; BPS, Bureau of Planning and Strategy; BRFSS, Behavioral Risk Factors Surveillance System; CA, Cancer; CBC, Complete Blood count; CGRN, ConvergenceCT Global Research Network; COPD, Chronic Obstructive Pulmonary Disease; CR, Cancer Registry; DM, Diabetes Mellitus; DMH, Department of Mental Health; EBMP, Medical Data Vision EBM Provider®;EKG, Electrocardiography; ESRD, End-Stage Renal Disease; FBS, Fasting Blood Sugar; FSR, The Fukuoka Stroke Registry; HAT, The Heart Association of Thailand under the Royal Patronage; Hb, Hemoglobin;HbA1c, Hemoglobin A1c;Hct, Hematocrit; HDL, High-density Lipoprotein; HFCT, Heart Failure Council of Thailand; HIV/AIDS, Human Immunodeficiency Virus/Acquired Immunodeficiency Syndrome; HPVC, Health Product vigilance Center Thai FDA;HSRI, Health System Research Institute; HTN, Hypertension; HWS, Health and Welfare Survey; IHD, Ischemic Heart Disease; IMS NPA, IMS NPA data; JARM DB, Rehabilitation Patients Database; JARM, the Japanese Association of Rehabilitation Medicine; JDPC, The Japanese Diagnosis Procedure Combination database; JMDC, Japan Medical Data Center Claims Database; JMIRI, JMIRI Pharmacy Claims DB; JPIC, Japan Pharmaceutical Information Center; JSTAR, Japanese Study of Aging and Retirement; LDL, Low-density Lipoprotein; Mdevice, Database of Medical Device; MEDIS-DC, Medical Information System Development Center; MHLW, List of Statistical Surveys conducted by MHLW;MHLW, Ministry of Health, Labor and Welfare; MICS, Multiple Indicator Cluster Survey; NCI, National Cancer Institute; NCPCDB, NIHON CHOUZAI Pharmacy Claims DB; NDS, National Disability Survey; NESMH, National Epidemiology Survey on Mental Health; NHES, National Health Examination Survey; NHSO, National Health Security Office; NHWS, National Health and Wellness Survey; NNS, National Nutrition Survey; NSO, National Statistical Office; NST, Nephrology Society of Thailand; OU, Osaka University; PCI, Percutaneous Coronary Intervention; PCU, Primary care unit; PHC, Population and Housing Census; PMDA, Pharmaceutical and Medical Devices Agency; QOL, Quality of Life; RAD-AR, Risk/benefit Assessment of Drug-Analysis & Response; RCPT, The Royal College of Physiatrists of Thailand; RHS, Reproductive Health Survey; RIETI, The Research Institute of Economy, Trade and Industry; SES, Socio-Economic Survey; TC, Total Cholesterol; TDR, Thai Diabetes Registry; TES, Thailand Endocrinology Society; TG, Triglyceride; Thai ADHERE, Thai Acute Decompensated Heart Failure Registry; TPCIR, Thai National Percutaneous Coronary Intervention Registry; TPDR, Thai Parkinson’s Disease Registry; TRC, Thai Red Cross Society; TRRTR, Thailand Renal Replacement Therapy Registry; TSRR, Thai Stroke Rehabilitation RegistryCharacteristics of databases.

This database automatically includes metadata, the source of which is the GOVERNMENT OF THE REPUBLIC OF SLOVENIA STATISTICAL USE OF THE REPUBLIC OF SLOVENIA and corresponding to the source database entitled “Number of enterprises with 10 or more employees and self-employed persons applying security measures or procedures when using ICT in an enterprise, cohesion region, Slovenia, multiannually”.

Actual data are available in Px-Axis format (.px). With additional links, you can access the source portal page for viewing and selecting data, as well as the PX-Win program, which can be downloaded free of charge. Both allow you to select data for display, change the format of the printout, and store it in different formats, as well as view and print tables of unlimited size, as well as some basic statistical analyses and graphics.

​Eurodac (European Asylum Dactyloscopy Database) is a large-scale IT system that helps with the management of European asylum applications since 2003, by storing and processing the digitalised fingerprints of asylum seekers and irregular migrants who have entered a European country. In this way, the system helps to identify new asylum applications against those already registered in the database.

It is used by 32 countries: 27 EU Member States, 4 Associated Countries (Iceland, Liechtenstein, Norway and Switzerland) and the United Kingdom. EU Member States connected as per December 2019 were: Austria, Belgium, Bulgaria, Cyprus, Croatia, Czech Republic, Denmark, Estonia, Finland, France, Germany, Greece, Hungary, Ireland, Italy, Latvia, Lithuania, Luxembourg, Malta, the Netherlands, Poland, Portugal, Romania, Slovakia, Slovenia, Spain and Sweden.

National asylum authorities use Eurodac to store new fingerprints and compare existing records on asylum seekers.

Statistical data on the work of the Eurodac Central System are made public at the end of each year in accordance with the Eurodac Regulation (Article 8(2) of Regulation (EU) No 603/2013). The statistics contain a breakdown of data for each Member State.

The Quarterly Census of Employment and Wages (QCEW) program is a cooperative program involving the Bureau of Labor Statistics (BLS) of the United States Department of Labor and the State Employment Security Agencies (SESAs). The QCEW program produces a comprehensive tabulation of employment and wage information for workers covered by State unemployment insurance (UI) laws and Federal workers covered by the Unemployment Compensation for Federal Employees (UCFE) program. Publicly available data files include information on the number of establishments, monthly employment, and quarterly wages, by NAICS industry, by county, by ownership sector, for the entire United States. These data are aggregated to annual levels, to higher industry levels (NAICS industry groups, sectors, and supersectors), and to higher geographic levels (national, State, and Metropolitan Statistical Area (MSA)). To download and analyze QCEW data, users can begin on the QCEW Databases page. Downloadable data are available in formats such as text and CSV. Data for the QCEW program that are classified using the North American Industry Classification System (NAICS) are available from 1990 forward, and on a more limited basis from 1975 to 1989. These data provide employment and wage information for arts-related NAICS industries, such as: Arts, entertainment, and recreation (NAICS Code 71) Performing arts and spectator sports Museums, historical sites, zoos, and parks Amusements, gambling, and recreation Professional, scientific, and technical services (NAICS Code 54) Architectural services Graphic design services Photographic services Retail trade (NAICS Code 44-45) Sporting goods, hobby, book and music stores Book, periodical, and music stores Art dealers For years 1975-2000, data for the QCEW program provide employment and wage information for arts-related industries are based on the Standard Industrial Classification (SIC) system. These arts-related SIC industries include the following: Book stores (SIC 5942) Commercial photography (SIC Code 7335) Commercial art and graphic design (SIC Code 7336) Museums, Botanical, Zoological Gardens (SIC Code 84) Dance studios, schools, and halls (SIC Code 7911) Theatrical producers and services (SIC Code 7922) Sports clubs, managers, & promoters (SIC Code 7941) Motion Picture Services (SIC Code 78) The QCEW program serves as a near census of monthly employment and quarterly wage information by 6-digit NAICS industry at the national, state, and county levels. At the national level, the QCEW program provides employment and wage data for almost every NAICS industry. At the State and area level, the QCEW program provides employment and wage data down to the 6-digit NAICS industry level, if disclosure restrictions are met. Employment data under the QCEW program represent the number of covered workers who worked during, or received pay for, the pay period including the 12th of the month. Excluded are members of the armed forces, the self-employed, proprietors, domestic workers, unpaid family workers, and railroad workers covered by the railroad unemployment insurance system. Wages represent total compensation paid during the calendar quarter, regardless of when services were performed. Included in wages are pay for vacation and other paid leave, bonuses, stock options, tips, the cash value of meals and lodging, and in some States, contributions to deferred compensation plans (such as 401(k) plans). The QCEW program does provide partial information on agricultural industries and employees in private households. Data from the QCEW program serve as an important source for many BLS programs. The QCEW data are used as the benchmark source for employment by the Current Employment Statistics program and the Occupational Employment Statistics program. The UI administrative records collected under the QCEW program serve as a sampling frame for BLS establishment surveys. In addition, data from the QCEW program serve as a source to other Federal and State programs. The Bureau of Economic Analysis (BEA) of the Department of Commerce uses QCEW data as the base for developing the wage and salary component of personal income. The Employment and Training Administration (ETA) of the Department of Labor and the SESAs use QCEW data to administer the employment security program. The QCEW data accurately reflect the ex

Dataset Description

This dataset is sourced from FAOSTAT, the comprehensive statistical database maintained by the Food and Agriculture Organization (FAO) of the United Nations. It provides detailed and reliable data on global agriculture, food security, nutrition, and related topics. The dataset covers the period from 1971 to 2022, offering a 50-year perspective on trends and changes in agricultural production, trade, resource use, and environmental impacts.

Visit the FAOSTAT website: https://www.fao.org/faostat/.

Variables :

• Year: The year for which the data is recorded (e.g., 1971, 2022).
• China: A metric (likely percentage change or growth rate) for China in the given year.
• India: A metric for India in the given year.
• Pakistan: A metric for Pakistan in the given year.
• United Arab Emirates: A metric for the UAE in the given year.
• United Kingdom: A metric for the UK in the given year.
• United States of America: A metric for the USA in the given year.

Each column (except Year) represents a country and contains numerical values, possibly indicating growth rates, percentage changes, or other metrics over time.

Possible Sources International Organizations: FAOSTAT (Food and Agriculture Organization): Provides data on agriculture, food security, and related metrics. World Bank: Offers economic, demographic, and environmental data. United Nations (UN): Publishes data on global development indicators. IMF (International Monetary Fund): Provides financial and economic data. Government Agencies: National statistical offices (e.g., Census Bureau, Ministry of Agriculture). Central banks or economic departments. Research Institutions: Universities or think tanks that collect and analyze data for specific studies

This dataset contains replication data files for the paper “Price and Volatility Transmission from International to Domestic Food and Fertilizer Markets in Central America.” The study analyzes how international prices affect domestic price levels and volatility for key food commodities and agricultural inputs in selected Central American countries. The dataset includes time series data on domestic and international prices for 26 staple foods, cash crops, and agricultural inputs across seven Central American countries: Costa Rica, Dominican Republic, El Salvador, Guatemala, Honduras, Panama, and Nicaragua. It covers: Staple foods essential to local diets: rice, beans, maize (corn), and wheat Major export crops: bananas and coffee Commonly used fertilizers: diammonium phosphate (DAP), urea, and ammonium nitrate Domestic prices were compiled from sources such as the Food and Agriculture Organization of the United Nations (FAO), the World Food Programme (WFP), and national market information systems. International prices were obtained from the FAO Statistical Database (FAOSTAT), Bloomberg, the International Coffee Organization, and the United States Department of Agriculture (USDA). All prices are reported in United States dollars (USD) and include monthly returns, enabling analysis of both price levels and price volatility. The replication files include raw and processed price data; Stata or Matlab scripts used in the analysis. These materials are intended to allow full replication of the results reported in the paper and support further research on food price transmission and volatility in developing regions.