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TH: Mortality Rate: Under-5: Female: per 1000 Live Births data was reported at 10.600 Ratio in 2016. This records a decrease from the previous number of 10.900 Ratio for 2015. TH: Mortality Rate: Under-5: Female: per 1000 Live Births data is updated yearly, averaging 12.900 Ratio from Dec 1990 (Median) to 2016, with 5 observations. The data reached an all-time high of 32.800 Ratio in 1990 and a record low of 10.600 Ratio in 2016. TH: Mortality Rate: Under-5: Female: per 1000 Live Births data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Thailand – Table TH.World Bank: Health Statistics. Under-five mortality rate, female is the probability per 1,000 that a newborn female baby will die before reaching age five, if subject to female age-specific mortality rates of the specified year.; ; Estimates Developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.; Weighted Average; Given that data on the incidence and prevalence of diseases are frequently unavailable, mortality rates are often used to identify vulnerable populations. Moreover, they are among the indicators most frequently used to compare socioeconomic development across countries. Under-five mortality rates are higher for boys than for girls in countries in which parental gender preferences are insignificant. Under-five mortality captures the effect of gender discrimination better than infant mortality does, as malnutrition and medical interventions have more significant impacts to this age group. Where female under-five mortality is higher, girls are likely to have less access to resources than boys.
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TwitterUNICEF's country profile for Thailand, including under-five mortality rates, child health, education and sanitation data.
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TH: Current Health Expenditure Per Capita: Current Price data was reported at 0.000 USD mn in 2015. This records a decrease from the previous number of 0.000 USD mn for 2014. TH: Current Health Expenditure Per Capita: Current Price data is updated yearly, averaging 0.000 USD mn from Dec 2000 (Median) to 2015, with 16 observations. The data reached an all-time high of 0.000 USD mn in 2014 and a record low of 0.000 USD mn in 2001. TH: Current Health Expenditure Per Capita: Current Price data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Thailand – Table TH.World Bank: Health Statistics. Current expenditures on health per capita in current US dollars. Estimates of current health expenditures include healthcare goods and services consumed during each year.; ; World Health Organization Global Health Expenditure database (http://apps.who.int/nha/database).; Weighted Average;
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TwitterContains data from World Health Organization's data portal covering various indicators (one per resource).
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TH: Newly Infected with HIV: Adults (Aged 15+) and Children (Aged 0-14) data was reported at 6,400.000 Number in 2016. This records a decrease from the previous number of 7,300.000 Number for 2015. TH: Newly Infected with HIV: Adults (Aged 15+) and Children (Aged 0-14) data is updated yearly, averaging 26,000.000 Number from Dec 1990 (Median) to 2016, with 27 observations. The data reached an all-time high of 140,000.000 Number in 1992 and a record low of 6,400.000 Number in 2016. TH: Newly Infected with HIV: Adults (Aged 15+) and Children (Aged 0-14) data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Thailand – Table TH.World Bank: Health Statistics. Number of adults (ages 15+) and children (ages 0-14) newly infected with HIV.; ; UNAIDS estimates.; ;
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TwitterBy Humanitarian Data Exchange [source]
This dataset contains an abundance of health indicators from the World Health Organization's data portal that relate to a variety of topics such as mortality, sustainable development goals, child health, infectious diseases, public health and environment, substance use and mental health, tobacco use, HIV/AIDS and other STIs nutrition, urban health and noncommunicable diseases. This dataset is designed to provide valuable insights into the determinants of various healthcare issues in Thailand by providing detailed metrics related to the state of the country's healthcare infrastructure. It includes indicators on topics ranging from financing & policy strategies to treatment capacity & coverage; human resources; information systems; youth; financial protection & AMR Glass; sexual & reproductive health; immunization services; neglect tropical diseases (NTDs); essential technologies & medical equipment as well as demographic & socioeconomic statistics. With access to an extensive range of data points covering multiple categories this collection allows users explore further trends or develop custom analysis tailored towards their particular research needs
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- 🚨 Your notebook can be here! 🚨!
This dataset provides comprehensive health indicators related to mortality, global health estimates, sustainable development goals, and much more. With it, you can analyze the health status of Thailand over time and help inform decision makers on important healthcare policy matters.
To get started using this dataset: - Familiarize yourself with the columns in the dataset by reading through their descriptions in the ‘About this Dataset’ section above. - Review any caveats or specific methodology associated with individual indicators in their respective resource descriptions where available. - Select which columns or areas that you want to further study or compare (e.,g., compare different regions). 4. Filter data points based on your criteria (e.,g., filter by end year). 5. Use the information presented in your analysis to help inform decision makers on important healthcare policy matters for Thailand!
- Creating an interactive visualization of the health indicators in Thailand to capture the trend over time or analyze correlations between different indicators.
- Developing a mobile app to help users access essential health indicator data for Thailand in real-time, such as rate of child deaths or number of tuberculosis cases per region.
- Creating predictive models based on these health indicators to track disease spread, forecast scarcity of certain medical resources and detect trends emerging among specific populations such as youths or males over females
If you use this dataset in your research, please credit the original authors. Data Source
See the dataset description for more information.
File: rsud-governance-policy-and-financing-prevention-indicators-for-thailand-19.csv | Column name | Description | |:----------------------------|:-----------------------------------------------------------------------| | GHO (CODE) | The Global Health Observatory code for the indicator. (String) | | GHO (DISPLAY) | The Global Health Observatory display name for the indicator. (String) | | GHO (URL) | The URL for the Global Health Observatory indicator. (URL) | | PUBLISHSTATE (CODE) | The code for the publish state of the indicator. (String) | | PUBLISHSTATE (DISPLAY) | The display name for the publish state of the indicator. (String) | | PUBLISHSTATE (URL) | The URL for the publish state of the indicator. (URL) | | YEAR (CODE) | The code for the year of the indicator. (String) | | YEAR (DISPLAY) | The display name for the year of the indicator. (String) | | YEAR (URL) | The URL for the year of the indicator. (URL) | | REGION (CODE) | The code for the region of the indicator. (String) | | REGION (DISPLAY) | The display name for the region of the indicator. (String) | | ...
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TwitterIn 2023, the value of household expenditure on healthcare amounted to approximately ***** billion Thai baht. The healthcare sector contributes to Thailand’s gross domestic product (GDP) greatly, its contribution has been steadily increasing in the past decade. Healthcare coverage in Thailand The majority of the Thai population is covered by the Universal Coverage Scheme, or UCS. This scheme allows Thai citizens to receive health care and medical treatments provided in public hospitals. The advantage of UCS is the comprehensive healthcare accessibility with a fee of as little as one dollar. However, the disadvantage of such a scheme is that only public hospitals participate in this scheme. Therefore, the waiting time can be lengthy. Since 2010, the Thai government has been adding more budget to the Universal Coverage Scheme, reaching more than *** billion Thai baht in 2023. Apart from public health insurance, the Thai people can also opt for private health insurance.
Private health insurance in Thailand Health insurance is the leading insurance product in Thailand, with the number of health insurance policies amounting to over a million every year since 2019. As of 2022, Cigna Health and Aetna Health were among the leading providers of health insurance in Thailand. The primary factor that consumers in Thailand consider when purchasing insurance is the coverage provided by the policy, including but not limited to inpatient and day-patient treatments, emergency services, and other related services.
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Thailand TH: Domestic Private Health Expenditure: % of Current Health Expenditure data was reported at 21.100 % in 2015. This records a decrease from the previous number of 22.190 % for 2014. Thailand TH: Domestic Private Health Expenditure: % of Current Health Expenditure data is updated yearly, averaging 24.021 % from Dec 2000 (Median) to 2015, with 16 observations. The data reached an all-time high of 42.044 % in 2000 and a record low of 20.952 % in 2011. Thailand TH: Domestic Private Health Expenditure: % of Current Health Expenditure data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Thailand – Table TH.World Bank: Health Statistics. Share of current health expenditures funded from domestic private sources. Domestic private sources include funds from households, corporations and non-profit organizations. Such expenditures can be either prepaid to voluntary health insurance or paid directly to healthcare providers.; ; World Health Organization Global Health Expenditure database (http://apps.who.int/nha/database).; Weighted Average;
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The Thai Demographic and Health Survey (TDHS) was a nationally representative sample survey conducted from March through June 1988 to collect data on fertility, family planning, and child and maternal health. A total of 9,045 households and 6,775 ever-married women aged 15 to 49 were interviewed. Thai Demographic and Health Survey (TDHS) is carried out by the Institute of Population Studies (IPS) of Chulalongkorn University with the financial support from USAID through the Institute for Resource Development (IRD) at Westinghouse. The Institute of Population Studies was responsible for the overall implementation of the survey including sample design, preparation of field work, data collection and processing, and analysis of data. IPS has made available its personnel and office facilities to the project throughout the project duration. It serves as the headquarters for the survey. The Thai Demographic and Health Survey (TDHS) was undertaken for the main purpose of providing data concerning fertility, family planning and maternal and child health to program managers and policy makers to facilitate their evaluation and planning of programs, and to population and health researchers to assist in their efforts to document and analyze the demographic and health situation. It is intended to provide information both on topics for which comparable data is not available from previous nationally representative surveys as well as to update trends with respect to a number of indicators available from previous surveys, in particular the Longitudinal Study of Social Economic and Demographic Change in 1969-73, the Survey of Fertility in Thailand in 1975, the National Survey of Family Planning Practices, Fertility and Mortality in 1979, and the three Contraceptive Prevalence Surveys in 1978/79, 1981 and 1984.
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TwitterIn 2021, the consumption value of health and wellness products in Thailand amounted to around *** billion U.S. dollars. Such value was forecast to increase in the next few years. Additionally, the compound annual growth rate from 2018 to 2021 for these products in Thailand was *** percent.
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Thailand: Health spending as percent of GDP: The latest value from 2022 is 5.35 percent, an increase from 5.15 percent in 2021. In comparison, the world average is 6.74 percent, based on data from 185 countries. Historically, the average for Thailand from 2000 to 2022 is 3.66 percent. The minimum value, 3.03 percent, was reached in 2001 while the maximum of 5.35 percent was recorded in 2022.
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TwitterIn 2023, the number of health insurance policies in Thailand amounted to approximately **** million, reflecting a slight decrease compared to the previous year. The increase in health insurance purchases in 2020 was a result of the COVID-19 pandemic and the increased awareness of the state of health among Thai people.
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TwitterIn 2021, government expenditure on health in Thailand amounted to approximately ***** billion Thai baht, a significant increase from the previous year. Throughout the examined period, the government's health expenditure has been on the rise. Government spending in Thailand Government spending in Thailand has gradually increased recently. As of 2022, the government of Thailand spent at least *** trillion Thai baht or around *** million U.S. dollars across different sectors. Most of the spending is distributed to civil administration organizations, private businesses, and corporations to boost economic activity. Additionally, most of these expenditures are focused on Bangkok and nearby metropolitan areas, since there is a high concentration of corporations and small-medium enterprises within these regions. Thailand’s healthcare system The healthcare sector is the*******leading sector with the highest government expenditure, following the education and social work sector. The Ministry of Public Health oversees three central healthcare schemes in Thailand: the civil service welfare sector, social security for private employees, and a universal coverage scheme. Although the healthcare system is diversified for citizens of all socioeconomic statuses, there are still challenges regarding the quality of medical services provided by public hospitals. Patients under these schemes often experience longer waiting times and occasionally subpar medical assistance due to the high number of patients. Hence, a considerable number of individuals opt to pay a higher fee for healthcare services rendered by private hospitals, thereby contributing to the anticipated continuous rise in healthcare expenditure per capita in the country.
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TwitterIn 2021, there were around **** million people who are covered by health insurance in Thailand. In that same year, the majority of health-insured people had universal coverage cards, accounting for around **** percent of all insured people.
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TwitterHealth expenditure per capita of Thailand rose by 1.72% from 364 US dollars in 2021 to 370 US dollars in 2022. Since the 5.20% jump in 2012, health expenditure per capita soared by 83.42% in 2022. Current expenditures on health per capita in current US dollars. Estimates of current health expenditures include healthcare goods and services consumed during each year.
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Historical dataset showing Thailand healthcare spending per capita by year from 2000 to 2022.
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TwitterIn 2024, the Thai government allocated approximately ****** billion Thai baht budget for the Ministry of Public Health. The budget value for the ministry has slightly fluctuated over the examined period.
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Thailand TH: Current Health Expenditure: % of GDP data was reported at 3.771 % in 2015. This records an increase from the previous number of 3.712 % for 2014. Thailand TH: Current Health Expenditure: % of GDP data is updated yearly, averaging 3.491 % from Dec 2000 (Median) to 2015, with 16 observations. The data reached an all-time high of 3.866 % in 2009 and a record low of 3.151 % in 2001. Thailand TH: Current Health Expenditure: % of GDP data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Thailand – Table TH.World Bank: Health Statistics. Level of current health expenditure expressed as a percentage of GDP. Estimates of current health expenditures include healthcare goods and services consumed during each year. This indicator does not include capital health expenditures such as buildings, machinery, IT and stocks of vaccines for emergency or outbreaks.; ; World Health Organization Global Health Expenditure database (http://apps.who.int/nha/database).; Weighted Average;
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The urban indicators data available here are analyzed, compiled and published by UN-Habitat’s Global Urban Observatory which supports governments, local authorities and civil society organizations to develop urban indicators, data and statistics. Urban statistics are collected through household surveys and censuses conducted by national statistics authorities. Global Urban Observatory team analyses and compiles urban indicators statistics from surveys and censuses. Additionally, Local urban observatories collect, compile and analyze urban data for national policy development. Population statistics are produced by the United Nations Department of Economic and Social Affairs, World Urbanization Prospects.
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Thailand TH: Out-of-Pocket Health Expenditure Per Capita: Current Price data was reported at 0.000 USD mn in 2015. This records a decrease from the previous number of 0.000 USD mn for 2014. Thailand TH: Out-of-Pocket Health Expenditure Per Capita: Current Price data is updated yearly, averaging 0.000 USD mn from Dec 2000 (Median) to 2015, with 16 observations. The data reached an all-time high of 0.000 USD mn in 2014 and a record low of 0.000 USD mn in 2006. Thailand TH: Out-of-Pocket Health Expenditure Per Capita: Current Price data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Thailand – Table TH.World Bank.WDI: Health Statistics. Health expenditure through out-of-pocket payments per capita in USD. Out of pocket payments are spending on health directly out of pocket by households in each country.; ; World Health Organization Global Health Expenditure database (http://apps.who.int/nha/database).; Weighted average;
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TH: Mortality Rate: Under-5: Female: per 1000 Live Births data was reported at 10.600 Ratio in 2016. This records a decrease from the previous number of 10.900 Ratio for 2015. TH: Mortality Rate: Under-5: Female: per 1000 Live Births data is updated yearly, averaging 12.900 Ratio from Dec 1990 (Median) to 2016, with 5 observations. The data reached an all-time high of 32.800 Ratio in 1990 and a record low of 10.600 Ratio in 2016. TH: Mortality Rate: Under-5: Female: per 1000 Live Births data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Thailand – Table TH.World Bank: Health Statistics. Under-five mortality rate, female is the probability per 1,000 that a newborn female baby will die before reaching age five, if subject to female age-specific mortality rates of the specified year.; ; Estimates Developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.; Weighted Average; Given that data on the incidence and prevalence of diseases are frequently unavailable, mortality rates are often used to identify vulnerable populations. Moreover, they are among the indicators most frequently used to compare socioeconomic development across countries. Under-five mortality rates are higher for boys than for girls in countries in which parental gender preferences are insignificant. Under-five mortality captures the effect of gender discrimination better than infant mortality does, as malnutrition and medical interventions have more significant impacts to this age group. Where female under-five mortality is higher, girls are likely to have less access to resources than boys.