Thailand Population: Female: Unknown or Lunar Calendar data was reported at 28.000 Person in 2017. This records a decrease from the previous number of 29.000 Person for 2016. Thailand Population: Female: Unknown or Lunar Calendar data is updated yearly, averaging 123,137.500 Person from Dec 1994 (Median) to 2017, with 24 observations. The data reached an all-time high of 635,797.000 Person in 1994 and a record low of 28.000 Person in 2017. Thailand Population: Female: Unknown or Lunar Calendar 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.G001: Population: By Region and Registration.

The total population in Guatemala was estimated at 17.8 million people in 2024, according to the latest census figures and projections from Trading Economics. This dataset provides - Guatemala Population - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Thailand Population: Male: Unknown or Lunar Calendar data was reported at 22.000 Person in 2017. This records a decrease from the previous number of 24.000 Person for 2016. Thailand Population: Male: Unknown or Lunar Calendar data is updated yearly, averaging 104,569.500 Person from Dec 1994 (Median) to 2017, with 24 observations. The data reached an all-time high of 497,268.000 Person in 1994 and a record low of 22.000 Person in 2017. Thailand Population: Male: Unknown or Lunar Calendar 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.G001: Population: By Region and Registration.

The most popular type of advent calendar among the German population in 2019 is the purchased advent calendar. 73 percent of respondents would gift a purchased advent calendar, while 23 percent would buy an advent calendar you can personalize.

The total population in Honduras was estimated at 9.8 million people in 2023, according to the latest census figures and projections from Trading Economics. This dataset provides - Honduras Population - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Thailand Population: Age Unknown or Lunar Calendar data was reported at 50.000 Person in 2017. This records a decrease from the previous number of 53.000 Person for 2016. Thailand Population: Age Unknown or Lunar Calendar data is updated yearly, averaging 227,707.000 Person from Dec 1994 (Median) to 2017, with 24 observations. The data reached an all-time high of 1,133,065.000 Person in 1994 and a record low of 50.000 Person in 2017. Thailand Population: Age Unknown or Lunar Calendar 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.G002: Population: By Age.

According to the figures at hand the most popular advent calendar filling among German females and males in 2020 was chocolate. For females, the least popular advent calendar content were tools.

Apprenticeships by Age (youth), Population County, Calendar Half, Gender and Dimensions: Number of persons, amount paid

The total population in Finland was estimated at 5.6 million people in 2023, according to the latest census figures and projections from Trading Economics. This dataset provides - Finland Population - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Thailand Population: Chai Nat: Unknown or Lunar Calendar data was reported at 0.000 Person in 2023. This stayed constant from the previous number of 0.000 Person for 2022. Thailand Population: Chai Nat: Unknown or Lunar Calendar data is updated yearly, averaging 8.000 Person from Dec 1993 (Median) to 2023, with 31 observations. The data reached an all-time high of 3,328.000 Person in 1993 and a record low of 0.000 Person in 2023. Thailand Population: Chai Nat: Unknown or Lunar Calendar 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.G006: Population: By Age: Chai Nat.

Study grant abroad by School form, Population Register County/municipal, calendar half-year, Gender and Number of persons, amount paid

This data set includes annual counts and percentages of Medicaid and Children’s Health Insurance Program (CHIP) enrollees by race and ethnicity overall and by three subpopulation topics: scope of Medicaid and CHIP benefits, age group, and eligibility category. These results were generated using Transformed Medicaid Statistical Information System (T-MSIS) Analytic Files (TAF) Release 1 data and the Race/Ethnicity Imputation Companion File. This data set includes Medicaid and CHIP enrollees in all 50 states, the District of Columbia, and Puerto Rico who were enrolled for at least one day in the calendar year. Enrollees in Guam, American Samoa, the Northern Mariana Islands, and the U.S. Virgin Islands are not included. Results shown for the age group and eligibility category subpopulation topics only include enrollees with comprehensive Medicaid and CHIP benefits in the year. Some rows in the data set have a value of "DS," which indicates that data were suppressed according to the Centers for Medicare & Medicaid Services’ Cell Suppression Policy for values between 1 and 10. This data set is based on information shown in the brief: "Race and ethnicity of the national Medicaid and CHIP population in 2020." Enrollees are assigned to six race and ethnicity categories using the state-reported race and ethnicity information in TAF when it is available and of good quality; if it is missing or unreliable, race and ethnicity is indirectly estimated using an enhanced version of Bayesian Improved Surname Geocoding (BISG). Enrollees are assigned to a child (ages 0-18) or adult (ages 19 and older) subpopulation using age as of December 31st of the calendar year. Enrollees are assigned to the comprehensive benefits or limited benefits subpopulation according to the criteria in the "Identifying Beneficiaries with Full-Scope, Comprehensive, and Limited Benefits in the TAF" DQ Atlas brief. Enrollees are assigned to an eligibility category subpopulation using their latest reported eligibility group code, CHIP code, and age in the calendar year. Please refer to the full brief for additional context about the methodology and detailed findings. Future updates to this data set will include more recent data years as the TAF data become available.

This document contains information about the American White Pelican population for the Anaho Island National Wildlife Refuge in the Stillwater National Wildlife Refuge Complex from calendar years 1971 to 1980. Documents within in the collection include hand-written notes, offices memorandums, bird counts, typed reports, newspaper clippings and aerial photographs. Species covered in the research are American White Pelican, Double-crested Cormorant, Canada Goose, California Gull, Caspian Tern, Great Blue Heron, and miscellaneous other birds. Research and survey proposals and post mortem health reports are among the documents in this collection.

This data set includes annual counts and percentages of Medicaid and Children’s Health Insurance Program (CHIP) enrollees by primary language spoken (English, Spanish, and all other languages). Results are shown overall; by state; and by five subpopulation topics: race and ethnicity, age group, scope of Medicaid and CHIP benefits, urban or rural residence, and eligibility category. These results were generated using Transformed Medicaid Statistical Information System (T-MSIS) Analytic Files (TAF) Release 1 data and the Race/Ethnicity Imputation Companion File. This data set includes Medicaid and CHIP enrollees in all 50 states, the District of Columbia, Puerto Rico, and the U.S. Virgin Islands who were enrolled for at least one day in the calendar year, except where otherwise noted. Enrollees in Guam, American Samoa, the Northern Mariana Islands, and select states with data quality issues with the primary language variable in TAF are not included. Results shown for the race and ethnicity subpopulation topic exclude enrollees in the U.S. Virgin Islands. Results shown overall (where subpopulation topic is "Total enrollees") exclude enrollees younger than age 5 and enrollees in the U.S. Virgin Islands. Results for states with TAF data quality issues in the year have a value of "Unusable data." Some rows in the data set have a value of "DS," which indicates that data were suppressed according to the Centers for Medicare & Medicaid Services’ Cell Suppression Policy for values between 1 and 10. This data set is based on the brief: "Primary language spoken by the Medicaid and CHIP population in 2020." Enrollees are assigned to a primary language category based on their reported ISO language code in TAF (English/missing, Spanish, and all other language codes) (Primary Language). Enrollees are assigned to a race and ethnicity subpopulation using the state-reported race and ethnicity information in TAF when it is available and of good quality; if it is missing or unreliable, race and ethnicity is indirectly estimated using an enhanced version of Bayesian Improved Surname Geocoding (BISG) (Race and ethnicity of the national Medicaid and CHIP population in 2020). Enrollees are assigned to an age group subpopulation using age as of December 31st of the calendar year. Enrollees are assigned to the comprehensive benefits or limited benefits subpopulation according to the criteria in the "Identifying Beneficiaries with Full-Scope, Comprehensive, and Limited Benefits in the TAF" DQ Atlas brief. Enrollees are assigned to an urban or rural subpopulation based on the 2010 Rural-Urban Commuting Area (RUCA) code associated with their home or mailing address ZIP code in TAF (Rural Medicaid and CHIP enrollees in 2020). Enrollees are assigned to an eligibility category subpopulation using their latest reported eligibility group code, CHIP code, and age in the calendar year. Please refer to the full brief for additional context about the methodology and detailed findings. Future updates to this data set will include more recent data years as the TAF data become available.

The total population in Georgia was estimated at 3.7 million people in 2023, according to the latest census figures and projections from Trading Economics. This dataset provides - Georgia Population - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Thailand Population: Bangkok: Unknown or Lunar Calendar: Female data was reported at 0.000 Person in 2023. This stayed constant from the previous number of 0.000 Person for 2022. Thailand Population: Bangkok: Unknown or Lunar Calendar: Female data is updated yearly, averaging 91.000 Person from Dec 1993 (Median) to 2023, with 31 observations. The data reached an all-time high of 12,099.000 Person in 1993 and a record low of 0.000 Person in 2023. Thailand Population: Bangkok: Unknown or Lunar Calendar: 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.

Conversion study support by form of aid, Population register county/municipal, calendar half-year, Gender and number of persons, Payed amount

Study grant in Sweden by form of support, Population registration county, calendar half-year, Gender and number of persons, Amount paid

Study aid in Sweden by grant form, Population registration county, calendar half-year, Gender and Dimensions: Number of persons, amount paid

The total population in Panama was estimated at 4.5 million people in 2023, according to the latest census figures and projections from Trading Economics. This dataset provides - Panama Population - actual values, historical data, forecast, chart, statistics, economic calendar and news.