Thailand MM: Expense: Compensation of Employees
Thailand MM: Expense: Compensation of Employees data was reported at 796,719.575 THB mn in 2017. This records an increase from the previous number of 788,382.433 THB mn for 2016. Thailand MM: Expense: Compensation of Employees data is updated yearly, averaging 792,551.004 THB mn from Sep 2016 to 2017, with 2 observations. The data reached an all-time high of 796,719.575 THB mn in 2017 and a record low of 788,382.433 THB mn in 2016. Thailand MM: Expense: Compensation of Employees data remains active status in CEIC and is reported by Fiscal Policy Office. The data is categorized under Global Database’s Thailand – Table TH.F011: Government Revenue and Expenditure: GFSM 2014: Statement of Government Operations.
View Thailand's Thailand MM: Expense: Compensation of Employees from 2016 to 2016 in the chart:
What was Thailand's Thailand MM: Expense: Compensation of Employees in 2016?
| Last | Previous | Min | Max | Unit | Frequency | Range |
|---|---|---|---|---|---|---|
| 788,382.43 2016 | 0.00 - | 0.00 - | 0.00 - | THB mn | yearly | 2016 - 2016 |
Related Indicators for Thailand MM: Expense: Compensation of Employees
Accurate Macro & Micro Economic Data You Can Trust
Explore the most complete set of 6.6 million time series covering more than 200 economies, 20 industries and 18 macroeconomic sectors.
Learn more about what we doThailand Key Series
Buy Selected Data
| National Accounts | Last | Frequency | Range |
|---|---|---|---|
| Forecast: GDP PPP Per Capita (PPP Intl $) | 27,743.550 2027 | yearly | 1980 - 2027 |
| Forecast: Nominal GDP Per Capita (USD) | 10,895.376 2028 | yearly | 1980 - 2028 |
| Forecast: Real GDP Growth (%) | 3.053 2028 | yearly | 1980 - 2028 |
| GDP Deflator Growth (%) | 4.0 Dec 2022 | quarterly | Mar 1994 - Dec 2022 |
| GDP per Capita (USD) | 7,497.735 2022 | yearly | 1960 - 2022 |
| Gross Fixed Capital Formation (USD mn) | 29,305.175 Jun 2023 | quarterly | Mar 1993 - Jun 2023 |
| Gross National Product (GNP) (USD mn) | 121,818.603 Jun 2023 | quarterly | Mar 1993 - Jun 2023 |
| Gross Savings Rate (%) | 29.6 Dec 2022 | quarterly | Mar 1993 - Dec 2022 |
| Investment: % of GDP (%) | 20.7 Jun 2023 | quarterly | Mar 1993 - Jun 2023 |
| Nominal GDP (USD mn) | 119,609.7 Dec 2022 | quarterly | Mar 1993 - Dec 2022 |
| Nominal GDP Growth (%) | 2.804 Jun 2023 | quarterly | Mar 1994 - Jun 2023 |
| Private Consumption Expenditure (USD mn) | 74,902.054 Jun 2023 | quarterly | Mar 1993 - Jun 2023 |
| Private Consumption: % of GDP (%) | 60.6 Jun 2023 | quarterly | Mar 1993 - Jun 2023 |
| Public Consumption Expenditure (USD mn) | 21,754.794 Jun 2023 | quarterly | Mar 1993 - Jun 2023 |
| Public Consumption: % of GDP (%) | 16.9 Jun 2023 | quarterly | Mar 1993 - Jun 2023 |
| Real GDP Growth (%) | 2.7 Mar 2023 | quarterly | Mar 1994 - Mar 2023 |
| Total Trade of Goods & Services: % of Nominal GDP (%) | 134.144 Jun 2023 | quarterly | Mar 1993 - Jun 2023 |
| Production | Last | Frequency | Range |
|---|---|---|---|
| Gold Production (kg) | 0.000 2020 | yearly | 2001 - 2020 |
| Industrial Production Index Growth (%) | -3.3 Jul 2023 | monthly | Jan 2012 - Jul 2023 |
| Minerals Production (Metric Ton) | 63,226,444.000 2021 | yearly | 2009 - 2021 |
| Motor Vehicle Production (Unit) | 1,883,515.000 2022 | yearly | 1997 - 2022 |
| Silver Production (Metric Ton) | 0.000 2020 | yearly | 2008 - 2020 |
| Construction and Properties | Last | Frequency | Range |
|---|---|---|---|
| Building Permits (Unit) | 24,123.000 May 2023 | monthly | Jan 2017 - May 2023 |
| House Prices Growth (%) | 8.5 Sep 2021 | monthly | Mar 2009 - Sep 2021 |
| Nominal Residential Property Price Index (2010=100) | 158.958 Jun 2022 | quarterly | Mar 1991 - Jun 2022 |
| Nominal Residential Property Price Index Growth (%) | 4.803 Mar 2023 | quarterly | Mar 1992 - Mar 2023 |
| Real Residential Property Price Index (2010=100) | 133.778 Mar 2023 | quarterly | Mar 1991 - Mar 2023 |
| Real Residential Property Price Index Growth (%) | 0.892 Mar 2023 | quarterly | Mar 1992 - Mar 2023 |
| Government and Public Finance | Last | Frequency | Range |
|---|---|---|---|
| Consolidated Fiscal Balance: % of GDP (%) | -3.7 Jun 2023 | quarterly | Sep 2002 - Jun 2023 |
| Forecast: Government Expenditure (THB bn) | 5,630.675 2028 | yearly | 1995 - 2028 |
| Forecast: Government Net Debt (THB bn) | 13,464.958 2028 | yearly | 1996 - 2028 |
| Forecast: Government Revenue (THB bn) | 4,826.234 2028 | yearly | 1995 - 2028 |
| Government Debt: % of GDP (%) | 53.9 Jun 2023 | quarterly | Dec 1997 - Jun 2023 |
| Tax Revenue (USD mn) | 68,602.250 2021 | yearly | 1984 - 2021 |
| National Government Debt (USD mn) | 281,881.7 Jul 2023 | monthly | Oct 1997 - Jul 2023 |
| Consolidated Fiscal Balance (USD mn) | -1,558.745 Jul 2023 | monthly | Oct 2001 - Jul 2023 |
| Tax Revenue: % of GDP (%) | 13.3 2021 | yearly | 1990 - 2021 |
| Demographic and Labour Market | Last | Frequency | Range |
|---|---|---|---|
| Employed Persons (Person) | 40,125,800.000 Jul 2023 | monthly | Jan 2001 - Jul 2023 |
| Forecast: Employment (Person mn) | 0.000 | yearly | - |
| Forecast: Population (Person mn) | 70.397 2028 | yearly | 1980 - 2028 |
| Forecast: Unemployment Rate (%) | 1.000 2028 | yearly | 2001 - 2028 |
| Labour Force Participation Rate (%) | 68.9 Jul 2023 | monthly | Jan 2011 - Jul 2023 |
| Labour Productivity Growth (%) | 0.07 Jun 2023 | quarterly | Mar 2002 - Jun 2023 |
| Monthly Earnings (USD) | 451 Jul 2023 | monthly | Jan 2001 - Jul 2023 |
| Population (Person mn) | 66.1 2022 | yearly | 1950 - 2022 |
| Unemployment Rate (%) | 1.15 Jul 2023 | monthly | Jan 2001 - Jul 2023 |
More Indicators for Thailand
Check out our pricing options.
Explore the most complete set of 6.6 million time series covering more than 200 economies, 20 industries and 18 macroeconomic sectors.
View pricing optionsCEIC Flex
Entry level access to the CEIC platform for individual users. Download limits apply. Payable monthly by credit card.
CEIC Unlimited
Full and unlimited access to CEIC data for multiple users. Suitable for enterprise usage. Available via annual subscription to one or more of CEIC’s global and premium databases.