Thailand Population: Bangkok: TNHR: by Age: 35 to 39 Years data was reported at 379,454.000 Person in 2023. This records a decrease from the previous number of 387,094.000 Person for 2022. Thailand Population: Bangkok: TNHR: by Age: 35 to 39 Years data is updated yearly, averaging 485,332.000 Person from Dec 1993 (Median) to 2023, with 31 observations. The data reached an all-time high of 514,768.000 Person in 1999 and a record low of 379,454.000 Person in 2023. Thailand Population: Bangkok: TNHR: by Age: 35 to 39 Years data remains active status in CEIC and is reported by Department of Provincial Administration. The data is categorized under Global Database’s Thailand – Table TH.G003: Population: By Age: Bangkok.

Thailand Population: Bangkok: TNHR: Female: by Age: 42 data was reported at 46,805.000 Person in 2023. This records a decrease from the previous number of 48,343.000 Person for 2022. Thailand Population: Bangkok: TNHR: Female: by Age: 42 data is updated yearly, averaging 49,214.000 Person from Dec 1993 (Median) to 2023, with 31 observations. The data reached an all-time high of 54,895.000 Person in 2006 and a record low of 41,590.000 Person in 1994. Thailand Population: Bangkok: TNHR: Female: by Age: 42 data remains active status in CEIC and is reported by Department of Provincial Administration. The data is categorized under Global Database’s Thailand – Table TH.G003: Population: By Age: Bangkok.

Population: Bangkok: TNHR: Female: by Age: 19 data was reported at 30,013.000 Person in 2023. This records an increase from the previous number of 29,780.000 Person for 2022. Population: Bangkok: TNHR: Female: by Age: 19 data is updated yearly, averaging 38,934.000 Person from Dec 1993 (Median) to 2023, with 31 observations. The data reached an all-time high of 46,254.000 Person in 1996 and a record low of 29,780.000 Person in 2022. Population: Bangkok: TNHR: Female: by Age: 19 data remains active status in CEIC and is reported by Department of Provincial Administration. The data is categorized under Global Database’s Thailand – Table TH.G003: Population: By Age: Bangkok.

Population: Bangkok: TNHR: Female: by Age: 29 data was reported at 39,343.000 Person in 2023. This records an increase from the previous number of 38,972.000 Person for 2022. Population: Bangkok: TNHR: Female: by Age: 29 data is updated yearly, averaging 48,761.000 Person from Dec 1993 (Median) to 2023, with 31 observations. The data reached an all-time high of 55,012.000 Person in 1994 and a record low of 35,734.000 Person in 2016. Population: Bangkok: TNHR: Female: by Age: 29 data remains active status in CEIC and is reported by Department of Provincial Administration. The data is categorized under Global Database’s Thailand – Table TH.G003: Population: By Age: Bangkok.

Thailand Population: Bangkok: TNHR: Female: by Age: 21 data was reported at 30,004.000 Person in 2023. This records a decrease from the previous number of 30,123.000 Person for 2022. Thailand Population: Bangkok: TNHR: Female: by Age: 21 data is updated yearly, averaging 39,513.000 Person from Dec 1993 (Median) to 2023, with 31 observations. The data reached an all-time high of 47,017.000 Person in 1997 and a record low of 30,004.000 Person in 2023. Thailand Population: Bangkok: TNHR: Female: by Age: 21 data remains active status in CEIC and is reported by Department of Provincial Administration. The data is categorized under Global Database’s Thailand – Table TH.G003: Population: By Age: Bangkok.

Thailand Population: Bangkok: TNHR: Female: by Age: 30 to 34 Years data was reported at 198,354.000 Person in 2023. This records an increase from the previous number of 195,865.000 Person for 2022. Thailand Population: Bangkok: TNHR: Female: by Age: 30 to 34 Years data is updated yearly, averaging 252,475.000 Person from Dec 1993 (Median) to 2023, with 31 observations. The data reached an all-time high of 278,917.000 Person in 1993 and a record low of 191,533.000 Person in 2021. Thailand Population: Bangkok: TNHR: Female: by Age: 30 to 34 Years data remains active status in CEIC and is reported by Department of Provincial Administration. The data is categorized under Global Database’s Thailand – Table TH.G003: Population: By Age: Bangkok.

Context

These data were collected and disseminated according to this publication: https://www.nature.com/articles/s41597-020-00582-3

All descriptors below are taken from this publication and are copyright of the authors.

Abstract

This paper describes the release of the detailed building operation data, including electricity consumption and indoor environmental measurements, of the seven-story 11,700-m2 office building located in Bangkok, Thailand. The electricity consumption data (kW) are that of individual air conditioning units, lighting, and plug loads in each of the 33 zones of the building. The indoor environmental sensor data comprise temperature (°C), relative humidity (%), and ambient light (lux) measurements of the same zones. The entire datasets are available at one-minute intervals for the period of 18 months from July 1, 2018, to December 31, 2019. Such datasets can be used to support a wide range of applications, such as zone-level, floor-level, and building-level load forecasting, indoor thermal model development, validation of building simulation models, development of demand response algorithms by load type, anomaly detection methods, and reinforcement learning algorithms for control of multiple AC units.

Background

The global energy consumption of the building sector, which includes both commercial and residential buildings, is about 20%. With the rapid increase in population as well as economic growth, energy consumption in buildings is projected to increase at the rate of 1.3% per year from 2018 to 2050; this growing energy demand has raised significant concerns worldwide of its negative impact on the environment. In order to meet the rising electricity demand, an efficient and cost effective operation is needed.

The uniqueness of the CU-BEMS dataset described in this paper is the breakdown of building-level electricity consumption (kW) into each zone and each floor of the building. The CU-BEMS dataset captures the operation of individual AC units, lighting, and plug loads in each zone of the building at one-minute intervals. These are three major loads in commercial buildings. In addition, corresponding indoor environmental sensor data (temperature, humidity, and ambient light) are also measured in each zone at one-minute intervals.

Methods

In mid-2018, CU-BEMS –the building energy management system, developed at Chulalongkorn University using an open standard IEEE1888, was installed at the seven-story academic office building located at Chulalongkorn University. The building has an area of around 11,700 square meters (126,000 sqft) with a peak load of about 700 kW. The overall CU-BEMS system comprises Energy Monitoring Units (EMU), digital meters, multi-sensors, gateways and a CU-BEMS server.

Energy Monitoring Unit (EMU) An EMU is a communicating electrical meter that can measure power consumption of up to 36 circuits and communicate via Ethernet LAN with Modbus protocol. An EMU comprises potential transformers, a microcontroller module and an Ethernet-based communication module. An EMU can connect to up to 36 external current transformers (CT, rating up to 60 Ampere). Based on current and voltage readings, the built-in microcontroller unit calculates power consumption (Watts). Then, the Ethernet module transfers the calculated electricity consumption to the CU-BEMS server using an open standard IEEE 1888 protocol.

Digital Meter Each digital meter used is a commercial off-the-shelf product (Siemens SENTRON PAC3100), which provides basic metering and monitoring applications. It provides open communications using Modbus RTU over RS485 interface. It measures current, voltage, and provides real, reactive power measurements, meeting ANSI C12.16 (accuracy class 1.0, i.e., typical error of 1%) specification for revenue meters.

Multi-sensors Multi-sensors have been designed to measure temperature (0 °C − 90 °C ± 0.4 °C), humidity (0–100%RH ± 2%RH) and ambient light (0.11 − 10000lux). Hence, it comprises temperature, humidity and ambient light sensors, as well as a Wi-Fi communication module.

Gateway CU-BEMS gateways have been developed in house to gather data from multi-sensors. Each gateway comprises a microprocessor and an Ethernet module. It has been designed to collect data at one-minute intervals.

Data Records

The entire datasets are divided into 14 comma-separated value (csv) files according to the floor and year of the data recorded. Note that one CSV file is provided for each floor of the building. This makes the total of seven CSV files for each year. Since each file does include data of each zone on a single floor, a user has the flexibility to work with any individual zones, which can be extracted (based on the column names) from the CSV files.

Each file combines the measurements available in each zone on the same floor of the building in a parti...

Population: Bangkok: TNHR: Female: by Age: 7 data was reported at 22,022.000 Person in 2023. This records a decrease from the previous number of 23,090.000 Person for 2022. Population: Bangkok: TNHR: Female: by Age: 7 data is updated yearly, averaging 32,584.000 Person from Dec 1993 (Median) to 2023, with 31 observations. The data reached an all-time high of 41,466.000 Person in 2002 and a record low of 22,022.000 Person in 2023. Population: Bangkok: TNHR: Female: by Age: 7 data remains active status in CEIC and is reported by Department of Provincial Administration. The data is categorized under Global Database’s Thailand – Table TH.G003: Population: By Age: Bangkok.

Thailand Population: Bangkok data was reported at 5,471,587.000 Person in 2023. This records a decrease from the previous number of 5,494,932.000 Person for 2022. Thailand Population: Bangkok data is updated yearly, averaging 5,674,843.000 Person from Dec 1993 (Median) to 2023, with 31 observations. The data reached an all-time high of 5,844,618.000 Person in 2003 and a record low of 5,471,587.000 Person in 2023. Thailand Population: Bangkok data remains active status in CEIC and is reported by Department of Provincial Administration. The data is categorized under Global Database’s Thailand – Table TH.G003: Population: By Age: Bangkok.

PROJECT SUMMARY

Nowadays, hypertension is a common and primary risk factor for cardiovascular diseases. It is one of the major global public health issues with the prevalence of 30.8%. The high prevalence of hypertension is reported in Thailand. According to the Thai National Health Examination Survey V (NHES V) conducted in 2015, one in four Thais had hypertension. Hypertension may worsen disease progression and lead to further complications, such as the risk of heart failure, cerebral ischemia, cerebral hemorrhage and chronic kidney diseases. Regarding recent available data concerning controlled blood pressure worldwide, the prevalence of controlled blood pressure was 68.9% and 37.5%, in the US and PR China, respectively.

Nevertheless, in Thailand, most information related to hypertension is collected in hospitals or hospital-based organizations rather than at the community level. A half of areas in Thailand are still rural (47%) where the healthcare infrastructure and healthcare provider characteristics differ from those of urban vicinities especially in remote rural areas. Furthermore, the last research related to uncontrolled hypertension was conducted in a rural community in 2012. The report showed that two-thirds patients with hypertension could not achieve the target blood pressure control. Furthermore, the other study in Thailand showed the absolute numbers of individuals with cardiovascular risk factors were greater in rural rather than urban regions.

However, only the limited information is available on factors potentially responsible for uncontrolled blood pressure among patients with hypertension in remote rural communities. The required information is essential to focus on preventing the problems. Improving blood pressure control will help to reduce disability from any complications including cardiovascular accident and chronic kidney disease, reduce medical costs and improve quality of life. The present study was conducted directly in a rural population and in primary health care (PHC) units. The objectives of the study were to determine uncontrolled blood pressure and identify risk factors associated with uncontrolled blood pressure among patients with hypertension in the remote rural communities of the central area in Thailand.

ชื่อเจ้าของฐานข้อมูล และการติดต่อ

ร.อ. ผศ.บุญทรัพย์ ศักดิ์บุญญารัตน์ ภาควิชาเวชศาสตร์ทหารและชุมชน วิทยาลัยแพทยศาสตร์พระมงกุฎเกล้า Capt. Asst.Prof.Boonsub Sakboonyarat, MD, MPH Department of Military and Community Medicine, Phramongkutklao College of Medicine, Bangkok, Thailand E-mail Boonsub1991@pcm.ac.th

Availability of data and materials

The datasets generated or analyzed during the current study are not publicly available because the data sets contain confidential information. Thus, due to ethics restrictions concerning the data sets, they are available from the corresponding author upon reasonable request.

การขอเข้าถึง Protocol และ ข้อมูล

กดที่ ปุ่ม ร้องขอข้อมูล ที่ หน้า Protocol และ ข้อมูล

On the basis of the global tropical cyclone track dataset, the global disaster events and losses dataset, the global tide level observation dataset and DEM data, coastline distribution data, land cover information, population and other related data of the Belt and Road, indicators related to the disaster risk and vulnerability of storm surge in each unit are extracted and calculated using100 meter grid as evaluation unit, such as historical intensity of tide level frequency of storm historic arrival, historical loss, population density, land cover type, etc. The comprehensive index of storm surge disaster risk is constructed, and the risk index of storm surge is obtained by using the weighted method. Finally, the storm surge risk index is normalized to 0-1, which can be used to evaluate the risk level of storm surge in each assessment unit.At the same time, the data set includes the corresponding risk index, exposure index and vulnerability assessment results.The key nodes data set only contains 11 nodes which have risks ((Chittagong port, Bangladesh; Kyaukpyu Port, Myanmar; Kolkata, India; Yangon Port, Myanmar; Karachi, Pakistan; Dhaka, Bangladesh; Mumbai, India; Hambantota Port, Sri Lanka; Bangkok, Thailand; China-Myanmar Oil and Gas Pipeline; Jakarta-Bandung High-speed Railway).

PROJECT SUMMARY

 COPD is a principle condition leading to several serious complications, ie, cor pulmonale, recurrent pneumonia, pneumothorax and respiratory failure. Although the pathogenic mechanisms of COPD remain unclear, various risk factors such as genetic constitution, bronchial hyper-responsiveness, perinatal factors, childhood asthma, air pollution and cigarette smoking were identified to cause the disease. In addition, COPD is considered a common occupational disease in particular populations including tunnel workers, coal miners and agricultural workers. Related studies have reported the prevalence of COPD among agricultural workers including cattle, swine and poultry breeders was relatively high compared with that among nonfarming workers. Agricultural workers can be exposed to biochemical, organic and inorganic substances which may contribute to COPD, for instance, dust, biomass smoke, ammonia, silica and endotoxins. 
 Approximately one half of the Thai population live in rural areas where the characteristics of healthcare infrastructure and providers differ from those of urban settings especially in remote rural areas. According to Thai national health policies, some noncommunicable diseases including type 2 diabetes and hypertension, but not COPD have been actively surveyed at the community level. Thus, the current situation of COPD in rural communities remains limited. Most of the Thai population in rural communities works as agriculturists. However, the information of factors potentially responsible for COPD among agriculturists remains limited, which is essential to focus on preventing the disease. Attenuating the risk factors of COPD will also help to slow disease progression and reduce associated complications. The present study aimed to determine the prevalence and risk factors of COPD among agriculturists in a remote rural community in Chachoengsao Province, central Thailand

ชื่อเจ้าของฐานข้อมูล และการติดต่อ

ร.อ. ผศ.บุญทรัพย์ ศักดิ์บุญญารัตน์ ภาควิชาเวชศาสตร์ทหารและชุมชน วิทยาลัยแพทยศาสตร์พระมงกุฎเกล้า Capt. Asst.Prof.Boonsub Sakboonyarat, MD, MPH Department of Military and Community Medicine, Phramongkutklao College of Medicine, Bangkok, Thailand E-mail Boonsub1991@pcm.ac.th

Availability of data and materials

The datasets generated or analyzed during the current study are not publicly available because the data sets contain confidential information. Thus, due to ethics restrictions concerning the data sets, they are available from the corresponding author upon reasonable request.

การขอเข้าถึง Protocol และ ข้อมูล

กดที่ ปุ่ม ร้องขอข้อมูล ที่ หน้า Protocol และ ข้อมูล

Population: Bangkok: TNHR: Female: by Age: 11 data was reported at 27,396.000 Person in 2023. This records an increase from the previous number of 26,157.000 Person for 2022. Population: Bangkok: TNHR: Female: by Age: 11 data is updated yearly, averaging 36,166.000 Person from Dec 1993 (Median) to 2023, with 31 observations. The data reached an all-time high of 43,104.000 Person in 2006 and a record low of 25,766.000 Person in 2021. Population: Bangkok: TNHR: Female: by Age: 11 data remains active status in CEIC and is reported by Department of Provincial Administration. The data is categorized under Global Database’s Thailand – Table TH.G003: Population: By Age: Bangkok.

Thailand Population: Bangkok: TNHR: by Age: 100 data was reported at 797.000 Person in 2023. This records an increase from the previous number of 708.000 Person for 2022. Thailand Population: Bangkok: TNHR: by Age: 100 data is updated yearly, averaging 382.000 Person from Dec 1993 (Median) to 2023, with 31 observations. The data reached an all-time high of 797.000 Person in 2023 and a record low of 312.000 Person in 1995. Thailand Population: Bangkok: TNHR: by Age: 100 data remains active status in CEIC and is reported by Department of Provincial Administration. The data is categorized under Global Database’s Thailand – Table TH.G003: Population: By Age: Bangkok.

Thailand Population: Bangkok: TNHR: Female: by Age: 78 data was reported at 15,209.000 Person in 2023. This records an increase from the previous number of 14,727.000 Person for 2022. Thailand Population: Bangkok: TNHR: Female: by Age: 78 data is updated yearly, averaging 8,363.000 Person from Dec 1993 (Median) to 2023, with 31 observations. The data reached an all-time high of 15,209.000 Person in 2023 and a record low of 3,261.000 Person in 1997. Thailand Population: Bangkok: TNHR: Female: by Age: 78 data remains active status in CEIC and is reported by Department of Provincial Administration. The data is categorized under Global Database’s Thailand – Table TH.G003: Population: By Age: Bangkok.

Thailand Population: Bangkok: Female data was reported at 2,916,162.000 Person in 2023. This records a decrease from the previous number of 2,922,958.000 Person for 2022. Thailand Population: Bangkok: Female data is updated yearly, averaging 2,974,684.000 Person from Dec 1993 (Median) to 2023, with 31 observations. The data reached an all-time high of 3,022,438.000 Person in 2003 and a record low of 2,812,232.000 Person in 1993. Thailand Population: Bangkok: Female data remains active status in CEIC and is reported by Department of Provincial Administration. The data is categorized under Global Database’s Thailand – Table TH.G003: Population: By Age: Bangkok.

Thailand Population: Bangkok: TNHR: by Age: 73 data was reported at 43,213.000 Person in 2023. This records an increase from the previous number of 41,767.000 Person for 2022. Thailand Population: Bangkok: TNHR: by Age: 73 data is updated yearly, averaging 21,908.000 Person from Dec 1993 (Median) to 2023, with 31 observations. The data reached an all-time high of 43,213.000 Person in 2023 and a record low of 9,456.000 Person in 1994. Thailand Population: Bangkok: TNHR: by Age: 73 data remains active status in CEIC and is reported by Department of Provincial Administration. The data is categorized under Global Database’s Thailand – Table TH.G003: Population: By Age: Bangkok.

Thailand Population: Bangkok: TNHR: by Age: 10 data was reported at 50,704.000 Person in 2023. This records a decrease from the previous number of 55,590.000 Person for 2022. Thailand Population: Bangkok: TNHR: by Age: 10 data is updated yearly, averaging 73,226.000 Person from Dec 1993 (Median) to 2023, with 31 observations. The data reached an all-time high of 86,507.000 Person in 2005 and a record low of 50,704.000 Person in 2023. Thailand Population: Bangkok: TNHR: by Age: 10 data remains active status in CEIC and is reported by Department of Provincial Administration. The data is categorized under Global Database’s Thailand – Table TH.G003: Population: By Age: Bangkok.

Thailand Population: Bangkok: TNHR: by Age: 94 data was reported at 3,037.000 Person in 2023. This records an increase from the previous number of 2,832.000 Person for 2022. Thailand Population: Bangkok: TNHR: by Age: 94 data is updated yearly, averaging 978.000 Person from Dec 1993 (Median) to 2023, with 31 observations. The data reached an all-time high of 3,037.000 Person in 2023 and a record low of 659.000 Person in 1997. Thailand Population: Bangkok: TNHR: by Age: 94 data remains active status in CEIC and is reported by Department of Provincial Administration. The data is categorized under Global Database’s Thailand – Table TH.G003: Population: By Age: Bangkok.

Thailand Population: Bangkok: TNHR: by Age: 65 data was reported at 64,194.000 Person in 2023. This records an increase from the previous number of 62,916.000 Person for 2022. Thailand Population: Bangkok: TNHR: by Age: 65 data is updated yearly, averaging 34,012.000 Person from Dec 1993 (Median) to 2023, with 31 observations. The data reached an all-time high of 64,194.000 Person in 2023 and a record low of 21,450.000 Person in 1994. Thailand Population: Bangkok: TNHR: by Age: 65 data remains active status in CEIC and is reported by Department of Provincial Administration. The data is categorized under Global Database’s Thailand – Table TH.G003: Population: By Age: Bangkok.