Core Consumer Prices in Thailand increased to 101.51 points in August from 101.40 points in July of 2025. This dataset provides the latest reported value for - Thailand Core Consumer Prices - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

Die Kernverbraucherpreise in Thailand stiegen im August 2025 im Vergleich zum gleichen Monat des Vorjahres um 0,81 Prozent. Diese Seite bietet den neuesten gemeldeten Wert für die - Kerninflationsrate in Thailand - sowie frühere Veröffentlichungen, historische Höchst- und Tiefststände, kurzfristige Prognosen und langfristige Vorhersagen, Wirtschaftskalender, Umfragekonsens und Nachrichten.

Key information about Thailand Core CPI Change

• Thailand Core CPI Change was reported at 1.548 % in May 2023.
• This records a decrease from the previous number of 1.657 % for Apr 2023.
• Thailand Core CPI Change data is updated monthly, averaging 1.749 % from Dec 1985 to May 2023, with 450 observations.
• The data reached an all-time high of 8.425 % in Apr 1998 and a record low of -1.221 % in Jul 2009.
• Thailand Core CPI Change data remains active status in CEIC and is reported by CEIC Data.
• The data is categorized under World Trend Plus’s Global Economic Monitor – Table: Core CPI: Y-o-Y Growth: Monthly: Asia.

In 2024, the core consumer price index (CPI) in Thailand was at ****** index points, indicating a slight increase compared to the previous year. The core consumer price index is used to measure the changes in the price of goods and services, excluding raw food and energy.

Thailand SO: Core Consumer Price Index (CPI): Weight data was reported at 64.070 % in Dec 2024. This stayed constant from the previous number of 64.070 % for Nov 2024. Thailand SO: Core Consumer Price Index (CPI): Weight data is updated monthly, averaging 64.100 % from Nov 1975 (Median) to Dec 2024, with 590 observations. The data reached an all-time high of 64.100 % in Dec 2008 and a record low of 64.070 % in Dec 2024. Thailand SO: Core Consumer Price Index (CPI): Weight data remains active status in CEIC and is reported by Trade Policy and Strategy Office. The data is categorized under Global Database’s Thailand – Table TH.I019: Consumer Price Index: 2019=100: By Region: Weights.

Thailands Core-CPI-Änderung belief sich im 2023-05 auf 1.548 %. Dies stellt einen Rückgang im Vergleich zu den vorherigen Zahlen von 1.657 % für 2023-04 dar. Thailands Core-CPI-Änderung werden monatlich aktualisiert, mit einem Durchschnitt von 1.749 % von 1985-12 bis 2023-05, mit 450 Beobachtungen. Die Daten erreichten ein Allzeithoch in Höhe von 8.425 % im 1998-04 und ein Rekordtief in Höhe von -1.221 % im 2009-07. Thailands Core-CPI-Änderung Daten behalten den Aktiv-Status in CEIC und werden von CEIC Data gemeldet. Die Daten werden unter World Trend Pluss Global Economic Monitor – Table: Core CPI: Y-o-Y Growth: Monthly: Asia kategorisiert.

Thailand Core Consumer Price Index (CPI): Seasonally Adjusted data was reported at 107.715 2010=100 in Mar 2025. This records a decrease from the previous number of 107.898 2010=100 for Feb 2025. Thailand Core Consumer Price Index (CPI): Seasonally Adjusted data is updated monthly, averaging 99.053 2010=100 from Jan 1987 (Median) to Mar 2025, with 459 observations. The data reached an all-time high of 107.898 2010=100 in Feb 2025 and a record low of 55.724 2010=100 in Jan 1987. Thailand Core Consumer Price Index (CPI): Seasonally Adjusted 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.GEM: Consumer Price Index.

Thailand Core Consumer Price Index (CPI): Central data was reported at 109.620 2007=100 in Dec 2012. This records an increase from the previous number of 109.580 2007=100 for Nov 2012. Thailand Core Consumer Price Index (CPI): Central data is updated monthly, averaging 92.200 2007=100 from Dec 1984 (Median) to Dec 2012, with 337 observations. The data reached an all-time high of 109.620 2007=100 in Dec 2012 and a record low of 50.100 2007=100 in Dec 1984. Thailand Core Consumer Price Index (CPI): Central 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.I019: Consumer Price Index: 2007=100: By Region .

In 2023, the consumer price index (CPI) for medical and personal care in Thailand stood at ****** index points. In that same year, the overall core consumer price index (CPI) in Thailand was at ****** index points.

400 Global import shipment records of Core,board with prices, volume & current Buyer's suppliers relationships based on actual Global export trade database.

Abstract

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.

Geographic coverage

National

Analysis unit

• Household
• Women age 15-49

Universe

The population covered by the 1987 THADHS is defined as the universe of all women Ever-married women in the reproductive ages (i.e., women 15-49). This covered women in private households on the basis of a de facto coverage definition. Visitors and usual residents who were in the household the night before the first visit or before any subsequent visit during the few days the interviewing team was in the area were eligible. Excluded were the small number of married women aged under 15 and women not present in private households.

Kind of data

Sample survey data

Sampling procedure

SAMPLE SIZE AND ALLOCATION

The objective of the survey was to provide reliable estimates for major domains of the country. This consisted of two overlapping sets of reporting domains: (a) Five regions of the country namely Bangkok, north, northeast, central region (excluding Bangkok), and south; (b) Bangkok versus all provincial urban and all rural areas of the country. These requirements could be met by defining six non-overlapping sampling domains (Bangkok, provincial urban, and rural areas of each of the remaining 4 regions), and allocating approximately equal sample sizes to them. On the basis of past experience, available budget and overall reporting requirement, the target sample size was fixed at 7,000 interviews of ever-married women aged 15-49, expected to be found in around 9,000 households. Table A.I shows the actual number of households as well as eligible women selected and interviewed, by sampling domain (see Table i.I for reporting domains).

THE FRAME AND SAMPLE SELECTION

The frame for selecting the sample for urban areas, was provided by the National Statistical Office of Thailand and by the Ministry of the Interior for rural areas. It consisted of information on population size of various levels of administrative and census units, down to blocks in urban areas and villages in rural areas. The frame also included adequate maps and descriptions to identify these units. The extent to which the data were up-to-date as well as the quality of the data varied somewhat in different parts of the frame. Basically, the multi-stage stratified sampling design involved the following procedure. A specified number of sample areas were selected systematically from geographically/administratively ordered lists with probabilities proportional to the best available measure of size (PPS). Within selected areas (blocks or villages) new lists of households were prepared and systematic samples of households were selected. In principle, the sampling interval for the selection of households from lists was determined so as to yield a self weighting sample of households within each domain. However, in the absence of good measures of population size for all areas, these sampling intervals often required adjustments in the interest of controlling the size of the resulting sample. Variations in selection probabilities introduced due to such adjustment, where required, were compensated for by appropriate weighting of sample cases at the tabulation stage.

SAMPLE OUTCOME

The final sample of households was selected from lists prepared in the sample areas. The time interval between household listing and enumeration was generally very short, except to some extent in Bangkok where the listing itself took more time. In principle, the units of listing were the same as the ultimate units of sampling, namely households. However in a small proportion of cases, the former differed from the latter in several respects, identified at the stage of final enumeration: a) Some units listed actually contained more than one household each b) Some units were "blanks", that is, were demolished or not found to contain any eligible households at the time of enumeration. c) Some units were doubtful cases in as much as the household was reported as "not found" by the interviewer, but may in fact have existed.

Mode of data collection

Face-to-face

Research instrument

The DHS core questionnaires (Household, Eligible Women Respondent, and Community) were translated into Thai. A number of modifications were made largely to adapt them for use with an ever- married woman sample and to add a number of questions in areas that are of special interest to the Thai investigators but which were not covered in the standard core. Examples of such modifications included adding marital status and educational attainment to the household schedule, elaboration on questions in the individual questionnaire on educational attainment to take account of changes in the educational system during recent years, elaboration on questions on postnuptial residence, and adaptation of the questionnaire to take into account that only ever-married women are being interviewed rather than all women. More generally, attention was given to the wording of questions in Thai to ensure that the intent of the original English-language version was preserved.

a) Household questionnaire

The household questionnaire was used to list every member of the household who usually lives in the household and as well as visitors who slept in the household the night before the interviewer's visit. Information contained in the household questionnaire are age, sex, marital status, and education for each member (the last two items were asked only to members aged 13 and over). The head of the household or the spouse of the head of the household was the preferred respondent for the household questionnaire. However, if neither was available for interview, any adult member of the household was accepted as the respondent. Information from the household questionnaire was used to identify eligible women for the individual interview. To be eligible, a respondent had to be an ever-married woman aged 15-49 years old who had slept in the household 'the previous night'.

Prior evidence has indicated that when asked about current age, Thais are as likely to report age at next birthday as age at last birthday (the usual demographic definition of age). Since the birth date of each household number was not asked in the household questionnaire, it was not possible to calculate age at last birthday from the birthdate. Therefore a special procedure was followed to ensure that eligible women just under the higher boundary for eligible ages (i.e. 49 years old) were not mistakenly excluded from the eligible woman sample because of an overstated age. Ever-married women whose reported age was between 50-52 years old and who slept in the household the night before birthdate of the woman, it was discovered that these women (or any others being interviewed) were not actually within the eligible age range of 15-49, the interview was terminated and the case disqualified. This attempt recovered 69 eligible women who otherwise would have been missed because their reported age was over 50 years old or over.

b) Individual questionnaire

The questionnaire administered to eligible women was based on the DHS Model A Questionnaire for high contraceptive prevalence countries. The individual questionnaire has 8 sections: - Respondent's background - Reproduction - Contraception - Health and breastfeeding - Marriage - Fertility preference - Husband's background and woman's work - Heights and weights of children and mothers

The questionnaire was modified to suit the Thai context. As noted above, several questions were added to the standard DHS core questionnaire not only to meet the interest of IPS researchers hut also because of their relevance to the current demographic situation in Thailand. The supplemental questions are marked with an asterisk in the individual questionnaire. Questions concerning the following items were added in the individual questionnaire: - Did the respondent ever

25 Global import shipment records of Paper Core with prices, volume & current Buyer's suppliers relationships based on actual Global export trade database.

Thailand MOF Forecast: Core Inflation: YoY data was reported at 0.700 % in 2018. This records an increase from the previous number of 0.600 % for 2017. Thailand MOF Forecast: Core Inflation: YoY data is updated yearly, averaging 0.850 % from Dec 2013 (Median) to 2018, with 6 observations. The data reached an all-time high of 1.600 % in 2013 and a record low of 0.600 % in 2017. Thailand MOF Forecast: Core Inflation: YoY data remains active status in CEIC and is reported by Ministry of Finance. The data is categorized under Global Database’s Thailand – Table TH.I002: Inflation: Forecast: Ministry of Finance.

In 2023, the private label product channel accounted for ** percent sales share of Thai Union Group Public Company Limited. The core products of Thai Union PCL consist of ambient seafood and pet food, among other consumables.

49780 Global export shipment records of Core with prices, volume & current Buyer's suppliers relationships based on actual Global export trade database.

All reporting countries - Cross-border total claims of banks with headquaters in All countries (total) vis-a-vis residents of Thailand, non-financial sectors (amounts outstanding / stocks, loans and deposits in all currencies (=d+f+u), All currencies excl. core )

Thailand Core Consumer Price Index (CPI): Non Seasonally Adjusted data was reported at 107.815 2010=100 in 2025. This records an increase from the previous number of 107.809 2010=100 for 2024. Thailand Core Consumer Price Index (CPI): Non Seasonally Adjusted data is updated yearly, averaging 99.679 2010=100 from Dec 1987 (Median) to 2025, with 39 observations. The data reached an all-time high of 107.815 2010=100 in 2025 and a record low of 56.489 2010=100 in 1987. Thailand Core Consumer Price Index (CPI): Non Seasonally Adjusted 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.GEM: Consumer Price Index: Annual.

The Multiple Indicator Cluster Survey (MICS) is a household survey programme developed by UNICEF to assist countries in filling data gaps for monitoring human development in general and the situation of children and women in particular. MICS is capable of producing statistically sound, internationally comparable estimates of social indicators. The current round of MICS is focused on providing a monitoring tool for the Millennium Development Goals (MDGs), the World Fit for Children (WFFC), as well as for other major international commitments, such as the United Nations General Assembly Special Session (UNGASS) on HIV/AIDS and the Abuja targets for malaria. Survey Objectives The 2006 Thailand Multiple Indicator Cluster Survey has as its primary objectives: To provide up-to-date information for assessing the situation of children and women in Thailand; To furnish data needed for monitoring progress toward goals established by the Millennium Development Goals (MDG), the goals of A World Fit for Children (WFFC) and other internationally agreed upon goals, as a basis for future action at national and provincial level; and To contribute to the improvement of data and monitoring systems on the situation of children and women in Thailand and strengthening technical expertise for the design, implementation, and analysis of such systems. Survey Content MICS questionnaires are designed in a modular fashion that can be easily customized to the needs of a country. They consist of a household questionnaire, a questionnaire for women aged 15-49 and a questionnaire for children under the age of five (to be administered to the mother or caretaker). Other than a set of core modules, countries can select which modules they want to include in each questionnaire. Survey Implementation The survey was implemented by the National Statistical Office of Thailand, with the support and assistance of UNICEF and other partners. Technical assistance and training for the surveys is provided through a series of regional workshops, covering questionnaire content, sampling and survey implementation; data processing; data quality and data analysis; report writing and dissemination.

Abstract

The GSHS is a school-based survey which uses a self-administered questionnaire to obtain data on young people's health behaviour and protective factors related to the leading causes of morbidity and mortality among children and adults worldwide.

Geographic coverage

National

Analysis unit

Individuals

Universe

School-going adolescents aged 13-17 years.

Kind of data

Sample survey data [ssd]

Sampling procedure

A two-stage cluster sample design was used to produce data representative of all students in grades 7-12 in Thailand. At the first stage, schools were selected with probability proportional to enrollment size. At the second stage, classes were randomly selected and all students in selected classes were eligible to participate.

Mode of data collection

self-administered

Research instrument

The following core modules were included in the survey: alcohol use dietary behaviours drug use hygiene mental health physical activity protective factors sexual behaviours tobacco use violence and unintentional injury

Cleaning operations

All data processing (scanning, cleaning, editing, and weighting) was conducted at WHO and the US Centers for Disease Control.

Response rate

The school response rate was 92%, the student response rate was 90%, and the overall response rate was 83%.

554 Global import shipment records of Transformer Core with prices, volume & current Buyer's suppliers relationships based on actual Global export trade database.