The gross domestic product (GDP) per capita in Thailand was estimated at about 7.49 thousand U.S. dollars in 2024. Between 1980 and 2024, the GDP per capita rose by approximately 6.79 thousand U.S. dollars, though the increase followed an uneven trajectory rather than a consistent upward trend. The GDP per capita will steadily rise by around 1.61 thousand U.S. dollars over the period from 2024 to 2030, reflecting a clear upward trend.This indicator describes the gross domestic product per capita at current prices. Thereby, the gross domestic product was first converted from national currency to U.S. dollars at current exchange rates and then divided by the total population. The gross domestic product is a measure of a country's productivity. It refers to the total value of goods and service produced during a given time period (here a year).

The statistic shows gross domestic product (GDP) per capita in the ASEAN countries from 2020 to 2023, with projections up until 2030. In 2025, GDP per capita in Singapore was projected to be almost ****** U.S. dollars: more than 10 times the total of most other ASEAN countries, and almost 80 times larger than that of Myanmar.

This dataset provides values for GDP PER CAPITA reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.

Malaysia's GDP per capita based on its purchasing power parity (PPP) for 2020 amounted to about ** thousand current international dollars, indicating that on average, Malaysian inhabitants own more money to spend than their neighboring countries Indonesia, Thailand, Vietnam, and the Philippines.

In 2023, the estimated total GDP of all ASEAN states amounted to approximately 3.8 trillion U.S. dollars, a significant increase from the previous years. In fact, the GDP of the ASEAN region has been skyrocketing for a few years now, reflecting the region’s thriving economy. Power in the EastThe Association of Southeast Asian Nations (ASEAN) comprises Brunei, Cambodia, Indonesia, Laos, Malaysia, Myanmar, the Philippines, Singapore, Thailand, and Vietnam. It was established in 1967 among five of these countries (Indonesia, Malaysia, Thailand, Singapore, and the Philippines) to facilitate trade and economic growth, as well as promote cultural development and social structures in the region. To date, they have been joined by another five nations. The ASEAN marketThe founding of the ASEAN organization provides the collaborating nations with more autonomy and influence on the global economy than they would have had by themselves. Additionally, struggling participating countries, such as Laos, are given an opportunity to grow on an ASEAN single market.

Human capital is a nation’s primary source of inner strength to achieve sustainable economic growth and development. Meanwhile, income inequality is a critical issue preventing sustainable economic growth and social transformation, especially in developing countries. This paper investigates the effect of human capital on income inequality in both the short and long term using the mean group, pooled mean group, and threshold regressions for the ASEAN-7 (including Indonesia, Laos, Malaysia, the Philippines, Singapore, Thailand, and Vietnam) from 1992 to 2018. The paper develops a theoretical linkage between human capital and income inequality by combining the learning theory and the Kuznets hypothesis. This linkage is then tested using data from the ASEAN countries. Findings from the paper indicate that human capital reduces income inequality in the short run in the ASEAN countries. However, the effect is reverted in the long run, suggesting that human capital may increase the income gap in these countries. Particularly, the inverted U-shaped relationship between human capital and income inequality is established for the ASEAN countries whose GDP per capita is lower than USD 8.2 thousand per year. In contrast, the U-shaped relationship is found for the countries with income per capital of more than USD 8.2 thousand. All these findings suggest that social policies targeting reducing income inequality should be prioritized and stay at the centre of any economic policies to achieve sustainable economic growth and development in the ASEAN countries.

This study investigates the asymmetric effects of business cycles (measured by real GDP per capita) on population health (measured by life expectancy at birth) from the ASEAN countries, namely, Brunei, Cambodia, Indonesia, Laos, Malaysia, Myanmar, Philippines, Singapore, Thailand, and Vietnam. The panel vector error correction model, together with various panel unit root tests and cointegration tests, suggested a hidden cointegrated relationship between life expectancy at birth and the positive and negative components of real GDP per capita, and the asymmetric effects of business cycles on population health were identified in both in the short run and in the long run. Policymakers should focus on the harmful effects of business cycles on population health, and government interventions should be more forceful in times of economic expansion than during periods of economic recession.

The statistic shows the national debt of countries in the ASEAN region of Asia in relation to gross domestic product (GDP) from 2020 to 2030. The ASEAN (Association of Southeast Asian Nations) countries are Brunei, Cambodia, Indonesia, Laos, Malaysia, Myanmar, Philippines, Singapore, Thailand and Vietnam. In 2021, the national debt of Myanmar amounted to ***** percent of the country's gross domestic product.

The value of Thailand's pharmaceutical market amounted to around *** billion Thai baht in 2023, making it the third-biggest market in Southeast Asia. The market is expected to reach *** billion Thai baht in 2024. Pharmaceuticals market in Thailand The Ministry of Public Health regulates pharmaceuticals in Thailand. Despite the low spending per person on drugs, the market was still expected to expand, resulting in a forecasted rise in the share of pharmaceutical sales as a part of GDP. Antibiotics were the leading pharmaceuticals exported from Thailand. The leading exporting destinations for Thailand for pharmaceuticals and medical supplies are Vietnam, Myanmar, and Cambodia.

Pharmaceutical manufacturing industry in Thailand Since medicine costs are a major expense borne by the public health system, the modern pharmaceutical manufacturing industry is one of the most important industries in Thailand. Thailand issued almost *** pharmaceutical licenses for manufacturing modern medicine in 2022. Pharmaceutical solutions and tablets were the major pharmaceutical products produced in the country, with over **** metric tons manufactured as of May 2023.

The per capita consumer spending on healthcare in the Philippines was forecast to continuously increase between 2024 and 2029 by in total **** U.S. dollars (+***** percent). After the ninth consecutive increasing year, the healthcare-related per capita spending is estimated to reach ****** U.S. dollars and therefore a new peak in 2029. Consumer spending, in this case healthcare-related spending per capita, refers to the domestic demand of private households and non-profit institutions serving households (NPISHs). Spending by corporations and the state is not included. The forecast has been adjusted for the expected impact of COVID-19.Consumer spending is the biggest component of the gross domestic product as computed on an expenditure basis in the context of national accounts. The other components in this approach are consumption expenditure of the state, gross domestic investment as well as the net exports of goods and services. Consumer spending is broken down according to the United Nations' Classification of Individual Consumption By Purpose (COICOP). The shown data adheres broadly to group **. As not all countries and regions report data in a harmonized way, all data shown here has been processed by Statista to allow the greatest level of comparability possible. The underlying input data are usually household budget surveys conducted by government agencies that track spending of selected households over a given period.The data is shown in nominal terms which means that monetary data is valued at prices of the respective year and has not been adjusted for inflation. For future years the price level has been projected as well. The data has been converted from local currencies to US$ using the average exchange rate of the respective year. For forecast years, the exchange rate has been projected as well. The timelines therefore incorporate currency effects.Find more key insights for the per capita consumer spending on healthcare in countries like Vietnam and Thailand.