South Korea Data Center Processor Market Report Segments the Industry Into Processor Type (GPU, CPU, FPGA, AI Accelerator), Application (Advanced Data Analytics, AI/ML Training and Inferences, and More), Architecture (x86, Non-X86 (ARM, Power and Other Processors)), Data Center Type (Enterprise, Colocation, Cloud Service Providers). The Market Forecasts are Provided in Terms of Value (USD).

The South Korea Data Center Networking Market report segments the industry into By Component (By Product, By Services) and End-User (IT & Telecommunication, BFSI, Government, Media & Entertainment, Other End-Users). Get five years of historical data alongside five-year market forecasts.

The Clinical Research Information Service (CRIS) is a public data service that integrates and manages information on clinical trials conducted in Korea. These statistics provide a comprehensive overview of research based on clinical trial information registered in CRIS. Key statistical data include study type, intervention type, disease classification, clinical trial phase, research results, medical benefits, and the name of the responsible institution. This allows for a systematic understanding of the status and trends of domestic clinical trials, serving as fundamental data for research policy development and the advancement of healthcare research. Furthermore, by enhancing the transparency and reliability of research information, it supports the public's understanding of the current state of clinical research.

South Korea Government-Financed GERD: % of GDP data was reported at 1.180 % in 2022. This records an increase from the previous number of 1.120 % for 2021. South Korea Government-Financed GERD: % of GDP data is updated yearly, averaging 0.811 % from Dec 1995 (Median) to 2022, with 28 observations. The data reached an all-time high of 1.180 % in 2022 and a record low of 0.411 % in 1995. South Korea Government-Financed GERD: % of GDP data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s South Korea – Table KR.OECD.MSTI: Gross Domestic Expenditure on Research and Development: OECD Member: Annual.

In Korea, SSH are excluded from the R&D data prior to 2007.

From 2013, GBARD data on the education objective are available separately, having previously been included in non-oriented research. Since 2008, GBARD has been broken down to fit NABS 2007 using estimation techniques.

Korea National Health and Nutrition Examination Survey 2018 ~ 2021

https://doi.org/10.5061/dryad.0p2ngf285

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Descriptions

The KNHANES is a comprehensive national survey implemented across South Korea. Its primary objective is to consistently accumulate data annually encompassing various elements, including sociodemographic indicators, economic status, and health-related characteristics and behaviors across all age demographics. Since 2007, this body of data has undergone review and received an annual endorsement by the Research Ethics Review Committee from the Korea Centers for Disease Control and Prevention Agency (KDCA). The KNHANES data is an open-access resource for scholars, enabling further exploratory analysis and research in numerous fields.

We removed and masked (categorized) individual pieces of data to avoid...

South Korea Data Center Market size was valued at $ 13.3 Bn in 2024 and is expected to reach $ 24.3 Bn by 2032, growing at a CAGR of 6% from 2026 to 2032South Korea Data Center Market: Definition/OverviewA data center is a dedicated facility that houses computer systems and their components, such as servers, storage systems, networking equipment, and security systems. It acts as the foundation for storing, processing, and distributing large amounts of data for businesses, governments, and service providers. Modern data centers are outfitted with redundant power supplies, high-speed internet connectivity, and advanced cooling systems to ensure continuous operation and maximum uptime.

The report on South Korea Data Center covers a summarized study of several factors supporting market growth, such as market size, market type, major regions, and end-user applications. The report enables customers to recognize key drivers that influence and govern the market.

South Korea GERD Financed: Government data was reported at 22.636 % in 2022. This records a decrease from the previous number of 22.802 % for 2021. South Korea GERD Financed: Government data is updated yearly, averaging 23.105 % from Dec 1995 (Median) to 2022, with 28 observations. The data reached an all-time high of 27.395 % in 2009 and a record low of 19.040 % in 1995. South Korea GERD Financed: Government data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s South Korea – Table KR.OECD.MSTI: Gross Domestic Expenditure on Research and Development: OECD Member: Annual.

In Korea, SSH are excluded from the R&D data prior to 2007.

From 2013, GBARD data on the education objective are available separately, having previously been included in non-oriented research. Since 2008, GBARD has been broken down to fit NABS 2007 using estimation techniques.

The report on South Korea Data Center Processor covers a summarized study of several factors supporting market growth, such as market size, market type, major regions, and end-user applications. The report enables customers to recognize key drivers that influence and govern the market.

According to a study conducted in South Korea in 2023, over half of the respondents indicated that they would not send their children to study abroad, while about ** percent stated the opposite. Korean students studying abroad Many Korean students choose to study abroad because they can benefit from the advanced educational system and various opportunities available. The United States is the most preferred destination for Korean students due to its status as an English-speaking country. In the 2022/23 academic year, more than ****** South Korean students were enrolled in U.S. universities. Internationalization of Korean universities In response to this trend, the South Korean government is actively working to globalize universities. The aim is to provide diverse opportunities for Korean students without the need to study abroad. The Songdo commercial district has been designated to attract universities from other countries. Furthermore, many other higher education institutions have been signing contracts with foreign partners for credit exchanges, degree programs, research projects, and instructor exchanges. As a result, local undergraduate students can now easily take courses in English and interact with foreign professors and students from diverse cultural backgrounds.

South Korea Data Center Server Market Report Segments the Industry Into Type (Tier 1, Tier 2, and More), Form Factor(Half-Height Blades, Full-Height Blades, and More), End-User Verticals (BFSI, Manufacturing, and More), Data Center Type(Hyperscalers/Cloud Service Provider, and More) and Application / Workload (Virtualisation and Private Cloud, Storage-Centric and More). The Market Forecasts are Provided in Terms of Value (USD).

Comprehensive dataset containing 10 verified Study at home school businesses in South Korea with complete contact information, ratings, reviews, and location data.

The KMCC study aims to investigate the relationship between exposures to environmental factors, lifestyle factors, and host factors and the risk of cancer in South Korea. From 1993 to 2004, the study recruited over 35,000 cancer-free adults from South Korea. Participants completed baseline assessments at recruitment and were followed up until 2018 via surveillance systems.

South Korea Data Center Physical Security Market size was valued at USD 42.79 Million in 2024 and is projected to reach USD 189.63 Million by 2032, growing at a CAGR of 20.46% from 2026 to 2032.

South Korea Data Center Physical Security Market: Definition/Overview

Data center physical security refers to the measures and systems established to secure data centers from physical threats, assuring the facility's integrity and safety and the data it stores. This includes a multilayered approach incorporating perimeter security, access control systems, surveillance systems, and intrusion detection systems. Furthermore, physical security applications in data centers are vital for preventing unwanted access, theft, and damage to critical infrastructure, which protects sensitive data and ensures operational continuity.

Discover the booming South Korea data center physical security market! This report reveals a $29.38M market in 2025, projected to grow at a 20.91% CAGR until 2033, driven by cloud adoption & stringent data regulations. Learn about key players, market trends, and growth opportunities in video surveillance, access control, and more. Recent developments include: February 2024: In the latest release of the Axis operating system, AXIS OS, Axis Communications AB announced that the IEEE MAC 802.1sec security standard supports more than 200 network devices, including cameras, intercoms, and 11.8 audio speakers. Demonstrating the company's continued commitment to device and data security, Axis has become the first manufacturer of physical safety products supporting MACsec Media Access Control Security., April 2023: Schneider Electric launched a new services offer, EcoCare for Modular Data Centers services membership. Members of this innovative service plan benefit from specialized expertise to maximize modular data centers' uptime with 24/7 proactive remote monitoring and condition-based maintenance. Members also benefit from support provided in the form of a dedicated customer success management team, who become their coach, planning on-site and remote services teams and monitoring maintenance and infrastructure needs at a system level rather than an ad hoc approach for each asset only when problems arise.. Key drivers for this market are: Increasing Data Traffic and Need for Secured Connectivity are Promoting the Growth of the Data Center Physical Security Market, Rise in Cyber Threats is Causing the Data Center Physical Security Market to Grow. Potential restraints include: Increasing Data Traffic and Need for Secured Connectivity are Promoting the Growth of the Data Center Physical Security Market, Rise in Cyber Threats is Causing the Data Center Physical Security Market to Grow. Notable trends are: The Video Surveillance Segment Holds a Significant Share in the Market.

South Korea GOVERD: % of GDP data was reported at 0.489 % in 2022. This records an increase from the previous number of 0.480 % for 2021. South Korea GOVERD: % of GDP data is updated yearly, averaging 0.389 % from Dec 1995 (Median) to 2022, with 28 observations. The data reached an all-time high of 0.489 % in 2022 and a record low of 0.282 % in 2001. South Korea GOVERD: % of GDP data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s South Korea – Table KR.OECD.MSTI: Gross Domestic Expenditure on Research and Development: OECD Member: Annual.

In Korea, SSH are excluded from the R&D data prior to 2007.

From 2013, GBARD data on the education objective are available separately, having previously been included in non-oriented research. Since 2008, GBARD has been broken down to fit NABS 2007 using estimation techniques.

As of January 2025, the monthly electricity cost of a 20 megawatt data center in Singapore with the power usage effectiveness of 1.5 was estimated at 138 U.S. dollars per kilowatt-hour (kWh). In comparison, the monthly electricity cost of a data center of the same category in Auckland, New Zealand was calculated at 108 U.S. dollars per kWh.

Abstract

In order to develop various methods of comparable data collection on health and health system responsiveness WHO started a scientific survey study in 2000-2001. This study has used a common survey instrument in nationally representative populations with modular structure for assessing health of indviduals in various domains, health system responsiveness, household health care expenditures, and additional modules in other areas such as adult mortality and health state valuations.

The health module of the survey instrument was based on selected domains of the International Classification of Functioning, Disability and Health (ICF) and was developed after a rigorous scientific review of various existing assessment instruments. The responsiveness module has been the result of ongoing work over the last 2 years that has involved international consultations with experts and key informants and has been informed by the scientific literature and pilot studies.

Questions on household expenditure and proportionate expenditure on health have been borrowed from existing surveys. The survey instrument has been developed in multiple languages using cognitive interviews and cultural applicability tests, stringent psychometric tests for reliability (i.e. test-retest reliability to demonstrate the stability of application) and most importantly, utilizing novel psychometric techniques for cross-population comparability.

The study was carried out in 61 countries completing 71 surveys because two different modes were intentionally used for comparison purposes in 10 countries. Surveys were conducted in different modes of in- person household 90 minute interviews in 14 countries; brief face-to-face interviews in 27 countries and computerized telephone interviews in 2 countries; and postal surveys in 28 countries. All samples were selected from nationally representative sampling frames with a known probability so as to make estimates based on general population parameters.

The survey study tested novel techniques to control the reporting bias between different groups of people in different cultures or demographic groups ( i.e. differential item functioning) so as to produce comparable estimates across cultures and groups. To achieve comparability, the selfreports of individuals of their own health were calibrated against well-known performance tests (i.e. self-report vision was measured against standard Snellen's visual acuity test) or against short descriptions in vignettes that marked known anchor points of difficulty (e.g. people with different levels of mobility such as a paraplegic person or an athlete who runs 4 km each day) so as to adjust the responses for comparability . The same method was also used for self-reports of individuals assessing responsiveness of their health systems where vignettes on different responsiveness domains describing different levels of responsiveness were used to calibrate the individual responses.

This data are useful in their own right to standardize indicators for different domains of health (such as cognition, mobility, self care, affect, usual activities, pain, social participation, etc.) but also provide a better measurement basis for assessing health of the populations in a comparable manner. The data from the surveys can be fed into composite measures such as "Healthy Life Expectancy" and improve the empirical data input for health information systems in different regions of the world. Data from the surveys were also useful to improve the measurement of the responsiveness of different health systems to the legitimate expectations of the population.

Kind of data

Sample survey data [ssd]

Sampling procedure

3,000 named individuals were randomly selected from the Telephone Directory published in December 1999. The latter is stratified by local authority.

Addresses were selected from the 171 Telephone Directory Registries.

Mode of data collection

Mail Questionnaire [mail]

Cleaning operations

Data Coding At each site the data was coded by investigators to indicate the respondent status and the selection of the modules for each respondent within the survey design. After the interview was edited by the supervisor and considered adequate it was entered locally.

Data Entry Program A data entry program was developed in WHO specifically for the survey study and provided to the sites. It was developed using a database program called the I-Shell (short for Interview Shell), a tool designed for easy development of computerized questionnaires and data entry (34). This program allows for easy data cleaning and processing.

The data entry program checked for inconsistencies and validated the entries in each field by checking for valid response categories and range checks. For example, the program didn’t accept an age greater than 120. For almost all of the variables there existed a range or a list of possible values that the program checked for.

In addition, the data was entered twice to capture other data entry errors. The data entry program was able to warn the user whenever a value that did not match the first entry was entered at the second data entry. In this case the program asked the user to resolve the conflict by choosing either the 1st or the 2nd data entry value to be able to continue. After the second data entry was completed successfully, the data entry program placed a mark in the database in order to enable the checking of whether this process had been completed for each and every case.

Data Transfer The data entry program was capable of exporting the data that was entered into one compressed database file which could be easily sent to WHO using email attachments or a file transfer program onto a secure server no matter how many cases were in the file. The sites were allowed the use of as many computers and as many data entry personnel as they wanted. Each computer used for this purpose produced one file and they were merged once they were delivered to WHO with the help of other programs that were built for automating the process. The sites sent the data periodically as they collected it enabling the checking procedures and preliminary analyses in the early stages of the data collection.

Data quality checks Once the data was received it was analyzed for missing information, invalid responses and representativeness. Inconsistencies were also noted and reported back to sites.

Data Cleaning and Feedback After receipt of cleaned data from sites, another program was run to check for missing information, incorrect information (e.g. wrong use of center codes), duplicated data, etc. The output of this program was fed back to sites regularly. Mainly, this consisted of cases with duplicate IDs, duplicate cases (where the data for two respondents with different IDs were identical), wrong country codes, missing age, sex, education and some other important variables.

Korea Fishing: Research & Development Costs to Sales data was reported at 0.110 % in 2017. This stayed constant from the previous number of 0.110 % for 2016. Korea Fishing: Research & Development Costs to Sales data is updated yearly, averaging 0.110 % from Dec 2015 (Median) to 2017, with 3 observations. The data reached an all-time high of 0.130 % in 2015 and a record low of 0.110 % in 2017. Korea Fishing: Research & Development Costs to Sales data remains active status in CEIC and is reported by The Bank of Korea. The data is categorized under Global Database’s Korea – Table KR.S031: Financial Statement Analysis: KSIC 10th Revision: Complete Enumeration: Fishing.

especially semantic analysis