Leading Economic Index Thailand increased to 161.68 in June of 2025 over the same month in the previous year. This dataset provides - Thailand Leading Composite Index - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Thailand (DC)Leading Index: sa: BOT: Real Export data was reported at 166,120.000 THB mn in Feb 2000. This records an increase from the previous number of 159,538.500 THB mn for Jan 2000. Thailand (DC)Leading Index: sa: BOT: Real Export data is updated monthly, averaging 56,860.825 THB mn from Jan 1980 (Median) to Feb 2000, with 242 observations. The data reached an all-time high of 166,120.000 THB mn in Feb 2000 and a record low of 14,880.370 THB mn in Aug 1980. Thailand (DC)Leading Index: sa: BOT: Real Export data remains active status in CEIC and is reported by Bank of Thailand. The data is categorized under Global Database’s Thailand – Table TH.S002: Business Cycle Indicators: Bank of Thailand.

Thailand Leading Economic Index (LEI): BOT: Seasonally Adjusted data was reported at 150.580 2000=100 in Sep 2018. This records a decrease from the previous number of 150.850 2000=100 for Aug 2018. Thailand Leading Economic Index (LEI): BOT: Seasonally Adjusted data is updated monthly, averaging 110.680 2000=100 from Jan 1993 (Median) to Sep 2018, with 309 observations. The data reached an all-time high of 151.910 2000=100 in Dec 2017 and a record low of 83.850 2000=100 in Feb 1993. Thailand Leading Economic Index (LEI): BOT: Seasonally Adjusted data remains active status in CEIC and is reported by Bank of Thailand. The data is categorized under Global Database’s Thailand – Table TH.S001: Business Cycle Indicators: Bank of Thailand. Leading Economic Index (LEI) is constructed from 7 components including authorized capital of newly registered companies, new construction area permitted, export volume index (exclude gold), business sentiment index (3 months), SET index, real broad Money, and oil price inverse index (Oman)

Thailand (DC)Leading Index: sa: BOT: Real M2A data was reported at 6,900,338.458 THB mn in Dec 2005. This records a decrease from the previous number of 6,935,013.525 THB mn for Nov 2005. Thailand (DC)Leading Index: sa: BOT: Real M2A data is updated monthly, averaging 2,146,266.307 THB mn from Jan 1978 (Median) to Dec 2005, with 336 observations. The data reached an all-time high of 7,267,134.302 THB mn in May 2004 and a record low of 178,454.774 THB mn in Jan 1978. Thailand (DC)Leading Index: sa: BOT: Real M2A data remains active status in CEIC and is reported by Bank of Thailand. The data is categorized under Global Database’s Thailand – Table TH.S002: Business Cycle Indicators: Bank of Thailand.

Thailand (DC)Leading Economic Index: BOT data was reported at 124.400 1990=100 in Dec 2006. This records a decrease from the previous number of 125.200 1990=100 for Nov 2006. Thailand (DC)Leading Economic Index: BOT data is updated monthly, averaging 120.850 1990=100 from Jan 1993 (Median) to Dec 2006, with 168 observations. The data reached an all-time high of 128.200 1990=100 in May 2004 and a record low of 110.800 1990=100 in Mar 1993. Thailand (DC)Leading Economic Index: BOT data remains active status in CEIC and is reported by Bank of Thailand. The data is categorized under Global Database’s Thailand – Table TH.S001: Business Cycle Indicators: Bank of Thailand. Rebased from 1990=100 to 2000=100. 2. Replacement Series ID: 136479901

Thailand (DC)Leading Index: sa: BOT: SET Index data was reported at 531.311 NA in Dec 2005. This records an increase from the previous number of 495.164 NA for Nov 2005. Thailand (DC)Leading Index: sa: BOT: SET Index data is updated monthly, averaging 373.505 NA from Jan 1978 (Median) to Dec 2005, with 336 observations. The data reached an all-time high of 1,682.850 NA in Dec 1993 and a record low of 104.000 NA in Apr 1982. Thailand (DC)Leading Index: sa: BOT: SET Index data remains active status in CEIC and is reported by Bank of Thailand. The data is categorized under Global Database’s Thailand – Table TH.S001: Business Cycle Indicators: Bank of Thailand.

Utility equipment industry is regarded as a foundation that plays an important role in people livelihood as well as economic development, Therefore, growth of Utility equipment industry is consistent with electricity demand in each year is depends on main factors that consists of population growth, industry growth and economic growth. In the past, electricity generation, electricity demand and the country GDP have been in the same direction. The electrical usage data for the period of 10 years from 2002 to 2012 was gathered in this study in order to forecasting the trends of usage level segregated by the user types; industry, agriculture, business, government and households. The lead indicators which can predict electrical demand are identified. It turns out that demand in industrial customer group leads overall demand and other demand of others customer group. In addition, detail about product characteristics which impact customer decisions in the utility equipment industry are price, quality, product variety, promotion, easy to find, on-time delivery, payment, technical supporting, innovation etc. The questionnaire was applied with 4P technique and Benchmarking to distributed to industry users. As a results, the proper strategy is formulated based on lead indicator in such that the market distribution at the first priority, and then follow by quality of product, on time delivery and after sales service in order to gain the higher sale performance and market share in the future in Thailand utility equipment industry.

Thailand: Stock market value traded w/o top 10 firms, % of total value traded: The latest value from 2020 is 68.17 percent, an increase from 56.57 percent in 2019. In comparison, the world average is 48.10 percent, based on data from 28 countries. Historically, the average for Thailand from 1998 to 2020 is 67.71 percent. The minimum value, 50.44 percent, was reached in 2008 while the maximum of 79.4 percent was recorded in 2000.

Thailand (DC)Leading Index: sa: BOT: Oil Price Index, Oman data was reported at 0.760 NA in Feb 2000. This records a decrease from the previous number of 0.810 NA for Jan 2000. Thailand (DC)Leading Index: sa: BOT: Oil Price Index, Oman data is updated monthly, averaging 1.275 NA from Jan 1986 (Median) to Feb 2000, with 170 observations. The data reached an all-time high of 2.498 NA in Jul 1986 and a record low of 0.710 NA in Oct 1990. Thailand (DC)Leading Index: sa: BOT: Oil Price Index, Oman data remains active status in CEIC and is reported by Bank of Thailand. The data is categorized under Global Database’s Thailand – Table TH.S002: Business Cycle Indicators: Bank of Thailand.

Thailand (DC)Leading Index: sa: 1970=100: Medium Run data was reported at 105.387 1970=100 in Dec 2005. This records an increase from the previous number of 104.447 1970=100 for Nov 2005. Thailand (DC)Leading Index: sa: 1970=100: Medium Run data is updated monthly, averaging 107.300 1970=100 from Jan 1986 (Median) to Dec 2005, with 240 observations. The data reached an all-time high of 118.700 1970=100 in Nov 2003 and a record low of 94.600 1970=100 in Feb 1986. Thailand (DC)Leading Index: sa: 1970=100: Medium Run data remains active status in CEIC and is reported by Bureau of Trade and Economic Indices. The data is categorized under Global Database’s Thailand – Table TH.S009: Business Cycle Indicators: Ministry of Commerce (Discontinued).

Thailand (DC)Leading Index: sa: BOT: Number of Tourists data was reported at 948,154.890 Person in Dec 2005. This records a decrease from the previous number of 1,006,533.853 Person for Nov 2005. Thailand (DC)Leading Index: sa: BOT: Number of Tourists data is updated monthly, averaging 444,007.000 Person from Jan 1978 (Median) to Dec 2005, with 336 observations. The data reached an all-time high of 1,109,720.125 Person in Jan 2004 and a record low of 98,613.000 Person in Jun 1978. Thailand (DC)Leading Index: sa: BOT: Number of Tourists data remains active status in CEIC and is reported by Bank of Thailand. The data is categorized under Global Database’s Thailand – Table TH.S002: Business Cycle Indicators: Bank of Thailand.

Thailand (DC)Leading Index: sa: BOT: Construction Area Permitted data was reported at 5,363.013 sq m th in Aug 2005. This records an increase from the previous number of 4,138.127 sq m th for Jul 2005. Thailand (DC)Leading Index: sa: BOT: Construction Area Permitted data is updated monthly, averaging 910.313 sq m th from Jan 1978 (Median) to Aug 2005, with 332 observations. The data reached an all-time high of 6,367.000 sq m th in Jan 1993 and a record low of 342.000 sq m th in Jan 1982. Thailand (DC)Leading Index: sa: BOT: Construction Area Permitted data remains active status in CEIC and is reported by Bank of Thailand. The data is categorized under Global Database’s Thailand – Table TH.S002: Business Cycle Indicators: Bank of Thailand.

Thailand (DC)Leading Index: sa: BOT: Authorized Capital of Newly Registered C data was reported at 8,890.675 THB mn in Dec 2005. This records an increase from the previous number of 7,028.201 THB mn for Nov 2005. Thailand (DC)Leading Index: sa: BOT: Authorized Capital of Newly Registered C data is updated monthly, averaging 4,884.500 THB mn from Jan 1978 (Median) to Dec 2005, with 336 observations. The data reached an all-time high of 39,369.000 THB mn in Jun 1994 and a record low of 335.000 THB mn in Jan 1979. Thailand (DC)Leading Index: sa: BOT: Authorized Capital of Newly Registered C data remains active status in CEIC and is reported by Bank of Thailand. The data is categorized under Global Database’s Thailand – Table TH.S002: Business Cycle Indicators: Bank of Thailand.

Thailand (DC)Leading Index: sa: 1990=100 data was reported at 132.533 1990=100 in Dec 2005. This records an increase from the previous number of 132.401 1990=100 for Nov 2005. Thailand (DC)Leading Index: sa: 1990=100 data is updated monthly, averaging 109.700 1990=100 from Jan 1986 (Median) to Dec 2005, with 240 observations. The data reached an all-time high of 133.091 1990=100 in Jun 2005 and a record low of 73.200 1990=100 in May 1986. Thailand (DC)Leading Index: sa: 1990=100 data remains active status in CEIC and is reported by Bureau of Trade and Economic Indices. The data is categorized under Global Database’s Thailand – Table TH.S009: Business Cycle Indicators: Ministry of Commerce (Discontinued). Rebased from 1990=100 to 2002=100. Replacement Series ID: 101642301

Thailand Leading Index: sa: 2002=100: Medium Run data was reported at 105.400 2002=100 in Dec 2016. This records an increase from the previous number of 103.700 2002=100 for Nov 2016. Thailand Leading Index: sa: 2002=100: Medium Run data is updated monthly, averaging 96.000 2002=100 from Jan 1970 (Median) to Dec 2016, with 564 observations. The data reached an all-time high of 109.500 2002=100 in Mar 2011 and a record low of 82.300 2002=100 in Mar 1991. Thailand Leading Index: sa: 2002=100: Medium Run data remains active status in CEIC and is reported by Bureau of Trade and Economic Indices. The data is categorized under Global Database’s Thailand – Table TH.S009: Business Cycle Indicators: Ministry of Commerce (Discontinued).

Thailand TH: Imports: Lead Time: Median Case data was reported at 1.000 Day in 2016. This stayed constant from the previous number of 1.000 Day for 2014. Thailand TH: Imports: Lead Time: Median Case data is updated yearly, averaging 1.000 Day from Dec 2007 (Median) to 2016, with 5 observations. The data reached an all-time high of 2.620 Day in 2010 and a record low of 1.000 Day in 2016. Thailand TH: Imports: Lead Time: Median Case 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: Trade Statistics. Lead time to import is the median time (the value for 50 percent of shipments) from port of discharge to arrival at the consignee. Data are from the Logistics Performance Index survey. Respondents provided separate values for the best case (10 percent of shipments) and the median case (50 percent of shipments). The data are exponentiated averages of the logarithm of single value responses and of midpoint values of range responses for the median case.; ; World Bank and Turku School of Economics, Logistic Performance Index Surveys. Data are available online at : http://www.worldbank.org/lpi. Summary results are published in Arvis and others' Connecting to Compete: Trade Logistics in the Global Economy, The Logistics Performance Index and Its Indicators report.; Unweighted average;

Thailand Leading Index: sa: 2002=100 data was reported at 126.900 2002=100 in Dec 2016. This records an increase from the previous number of 125.000 2002=100 for Nov 2016. Thailand Leading Index: sa: 2002=100 data is updated monthly, averaging 80.600 2002=100 from Jan 1970 (Median) to Dec 2016, with 564 observations. The data reached an all-time high of 127.500 2002=100 in Sep 2016 and a record low of 36.100 2002=100 in Nov 1973. Thailand Leading Index: sa: 2002=100 data remains active status in CEIC and is reported by Bureau of Trade and Economic Indices. The data is categorized under Global Database’s Thailand – Table TH.S009: Business Cycle Indicators: Ministry of Commerce (Discontinued).

Thailand TH: Firm with Female Top Manager: % of Firms data was reported at 64.800 % in 2016. Thailand TH: Firm with Female Top Manager: % of Firms data is updated yearly, averaging 64.800 % from Dec 2016 (Median) to 2016, with 1 observations. Thailand TH: Firm with Female Top Manager: % of Firms 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: Company Statistics. Firms with female top manager refers to the percentage of firms in the private sector who have females as top managers. Top manager refers to the highest ranking manager or CEO of the establishment. This person may be the owner if he/she works as the manager of the firm. The results are based on surveys of more than 100,000 private firms.; ; World Bank, Enterprise Surveys (http://www.enterprisesurveys.org/).; Unweighted average; Relevance to gender indicator: Women are vastly underrepresented in decision making positions at the top level in the private sector and this indicator monitors progress that has been made.

Thailand TH: Exports: Lead Time: Median Case data was reported at 1.000 Day in 2016. This stayed constant from the previous number of 1.000 Day for 2014. Thailand TH: Exports: Lead Time: Median Case data is updated yearly, averaging 1.590 Day from Dec 2007 (Median) to 2016, with 5 observations. The data reached an all-time high of 3.400 Day in 2007 and a record low of 1.000 Day in 2016. Thailand TH: Exports: Lead Time: Median Case 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: Trade Statistics. Lead time to export is the median time (the value for 50 percent of shipments) from shipment point to port of loading. Data are from the Logistics Performance Index survey. Respondents provided separate values for the best case (10 percent of shipments) and the median case (50 percent of shipments). The data are exponentiated averages of the logarithm of single value responses and of midpoint values of range responses for the median case.; ; World Bank and Turku School of Economics, Logistic Performance Index Surveys. Data are available online at : http://www.worldbank.org/lpi. Summary results are published in Arvis and others' Connecting to Compete: Trade Logistics in the Global Economy, The Logistics Performance Index and Its Indicators report.; Unweighted average;

Thailand TH: Imports: Lead Time data was reported at 13.000 Day in 2014. This stayed constant from the previous number of 13.000 Day for 2013. Thailand TH: Imports: Lead Time data is updated yearly, averaging 13.000 Day from Dec 2005 (Median) to 2014, with 10 observations. The data reached an all-time high of 22.000 Day in 2006 and a record low of 13.000 Day in 2014. Thailand TH: Imports: Lead Time 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: Trade Statistics. Time to import is the time necessary to comply with all procedures required to import goods. Time is recorded in calendar days. The time calculation for a procedure starts from the moment it is initiated and runs until it is completed. If a procedure can be accelerated for an additional cost, the fastest legal procedure is chosen. It is assumed that neither the exporter nor the importer wastes time and that each commits to completing each remaining procedure without delay. Procedures that can be completed in parallel are measured as simultaneous. The waiting time between procedures--for example, during unloading of the cargo--is included in the measure.; ; World Bank, Doing Business project (http://www.doingbusiness.org/).; Unweighted average; Data are presented for the survey year instead of publication year.