|Unit||Ths. #, NSA|
|Adjustments||Not Seasonally Adjusted|
|Source||The Bank of Thailand|
|Release||Labor Force Survey|
|Labor Force||2022 Q4||40,142||40,088||Ths. #, NSA||Quarterly|
|Labor Force Employment||2022 Q4||39,591||39,565||Ths. #, NSA||Quarterly|
|Primary Industries Employment||2022 Q4||12,215||12,399||Ths. #, NSA||Quarterly|
|Secondary Industries Employment||2022 Q4||45.21||45.04||Ths. #, NSA||Quarterly|
|Tertiary Industries Employment||2022 Q4||18,603||18,628||Ths. #, NSA||Quarterly|
|Total Employment Non-Ag||2022 Q4||27,376||27,166||Ths. #, NSA||Quarterly|
|Unemployment||2022 Q4||462.49||491.41||Ths. #, NSA||Quarterly|
|Unemployment Rate||2022 Q4||1.15||1.23||%, NSA||Quarterly|
|Real Wages & Salaries||2022 Q3||14,424||10,274||Mil. THB, NSA||Quarterly|
|Wage & Salaries||2022 Q3||14,424||10,274||Mil. THB, NSA||Quarterly|
For Thailand, survey-based labor force status measures and employment by industry. Data Buffet's geo coverage is the country and Bangkok.
Thailand's labor force statistics are tripartite: employment, unemployment, and "seasonal unemployment" a.k.a. "seasonally inactive labor force." The latter pertains to the large agricultural workforce (about one-third of total employment) which is cyclically unemployed during each dry season (November to May).
Labor force statistics survey according to concepts and principles of International Labour Organization (ILO) and United Nation (UN). National Statistical Organization of Thailand has adopted concepts and definitions since the first time in 1993 to make consistency according to the real social and economic situations of Thailand even though user requirements. The improvement has continued since the first quarter in 2011 and determined the minimum age of labour force at 15 years old.
The survey is conducted simultaneously for all surveyed units nationwide during days 1 to 12 of each month. Data are collected by NSO officers through interview with head or member of the household units participated in the survey. Data compilation is based on weighted average of sampled data, the details of which appear in the NSO’s website under the topic “Labour Force Survey”.
The source writes:
The objective of the survey is to collect data on the economic activities of the population, including detailed information on employment and unemployment, characteristics of the labor force and economically inactive persons. Households covered in the survey are private households and special households (which include persons living in group, or in quarters within the compound of a factory or in a dormitory).
A Stratified Two-Stage Sampling was adopted. Provinces were constituted strata. The primary and secondary sampling units were blocks for municipal areas, villages for non-municipal areas and private households/ persons in the special households respectively. Stratification Provinces were constituted strata. There were altogether 76 Strata. Each stratum was divided into two parts according to the type of local administration, namely municipal areas and non-municipal areas. Selection of primary sampling units. The sample selection of blocks/villages was performed separately and independently. Labor force information was obtained through interviewing method of head or member of households by experienced enumerators.
The survey is based on the sample estimates and would be subject to both sampling and non-sampling errors.
Employed persons - Persons, 15 years of age and over who during the survey week:
Industry - Refers to the nature of economic activity undertaken in the establishment in which a person worked or the nature of business in which he was engaged during the survey week. If a person had more than one job, the industry corresponding to the occupation recorded was asked.
We compute seasonally adjusted counterparts for the LFS quartet using the X-13ARIMA-SEATS program. We update factors annually.
For Bangkok, we construct six estimated series (concept codes RLB^Q and XRLB^Q) that are adjusted for geo breaks at 2005Q3 and 2014Q1.
For employment by industry, we construct SA counterparts for the broad aggregates "agriculture" and "non-agriculture."
Since January 2014 change estimation which adjusted from population census 2010.
At the sources:
At IMF (SDDS):