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Laos LA: International Tourism: Number of Arrivals data was reported at 3,315,000.000 Person in 2016. This records a decrease from the previous number of 3,543,000.000 Person for 2015. Laos LA: International Tourism: Number of Arrivals data is updated yearly, averaging 757,000.000 Person from Dec 1995 (Median) to 2016, with 22 observations. The data reached an all-time high of 3,543,000.000 Person in 2015 and a record low of 60,000.000 Person in 1995. Laos LA: International Tourism: Number of Arrivals data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Laos – Table LA.World Bank.WDI: Tourism Statistics. International inbound tourists (overnight visitors) are the number of tourists who travel to a country other than that in which they have their usual residence, but outside their usual environment, for a period not exceeding 12 months and whose main purpose in visiting is other than an activity remunerated from within the country visited. When data on number of tourists are not available, the number of visitors, which includes tourists, same-day visitors, cruise passengers, and crew members, is shown instead. Sources and collection methods for arrivals differ across countries. In some cases data are from border statistics (police, immigration, and the like) and supplemented by border surveys. In other cases data are from tourism accommodation establishments. For some countries number of arrivals is limited to arrivals by air and for others to arrivals staying in hotels. Some countries include arrivals of nationals residing abroad while others do not. Caution should thus be used in comparing arrivals across countries. The data on inbound tourists refer to the number of arrivals, not to the number of people traveling. Thus a person who makes several trips to a country during a given period is counted each time as a new arrival.; ; World Tourism Organization, Yearbook of Tourism Statistics, Compendium of Tourism Statistics and data files.; Gap-filled total;
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the Gaston population distribution across 18 age groups. It lists the population in each age group along with the percentage population relative of the total population for Gaston. The dataset can be utilized to understand the population distribution of Gaston by age. For example, using this dataset, we can identify the largest age group in Gaston.
Key observations
The largest age group in Gaston, OR was for the group of age 55-59 years with a population of 86 (13.83%), according to the 2021 American Community Survey. At the same time, the smallest age group in Gaston, OR was the 85+ years with a population of 0 (0.00%). Source: U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.
Age groups:
Variables / Data Columns
Good to know
Margin of Error
Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.
Custom data
If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.
Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.
This dataset is a part of the main dataset for Gaston Population by Age. You can refer the same here
CMPD is the largest metropolitan police department between Atlanta, GA and Washington, DC. The department consists of over 1,850 sworn and 400 non-sworn personnel committed to providing the best services possible to the residents and guests of Charlotte-Mecklenburg. We believe the department should be reflective demographically of the community we serve. We are continually striving to achieve this through recruiting efforts.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the Chattanooga population distribution across 18 age groups. It lists the population in each age group along with the percentage population relative of the total population for Chattanooga. The dataset can be utilized to understand the population distribution of Chattanooga by age. For example, using this dataset, we can identify the largest age group in Chattanooga.
Key observations
The largest age group in Chattanooga, OK was for the group of age Under 5 years years with a population of 67 (15.51%), according to the ACS 2018-2022 5-Year Estimates. At the same time, the smallest age group in Chattanooga, OK was the 85 years and over years with a population of 7 (1.62%). Source: U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates
Age groups:
Variables / Data Columns
Good to know
Margin of Error
Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.
Custom data
If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.
Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.
This dataset is a part of the main dataset for Chattanooga Population by Age. You can refer the same here
Ahead of the Paris 2024 Olympic and Paralympic Games, it was expected that 64 percent of visitors to the Olympics would be French. Meanwhile, the Paralympics were forecast to have an even higher proportion of French attendees, with 83 percent.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the Keedysville population distribution across 18 age groups. It lists the population in each age group along with the percentage population relative of the total population for Keedysville. The dataset can be utilized to understand the population distribution of Keedysville by age. For example, using this dataset, we can identify the largest age group in Keedysville.
Key observations
The largest age group in Keedysville, MD was for the group of age 45 to 49 years years with a population of 140 (11.26%), according to the ACS 2019-2023 5-Year Estimates. At the same time, the smallest age group in Keedysville, MD was the 85 years and over years with a population of 3 (0.24%). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates
Age groups:
Variables / Data Columns
Good to know
Margin of Error
Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.
Custom data
If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.
Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.
This dataset is a part of the main dataset for Keedysville Population by Age. You can refer the same here
In 2022, the United Kingdom was the most important tourism source market for the Canary Island of Tenerife. Close to *********** British tourists visited this Spanish island that year, roughly three times the number of Spanish tourists from the mainland.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
France Hotel Arrivals: Auvergne, Rhône-Alpes: Total data was reported at 1,225.840 Person th in Oct 2018. This stayed constant from the previous number of 1,225.840 Person th for Sep 2018. France Hotel Arrivals: Auvergne, Rhône-Alpes: Total data is updated monthly, averaging 1,038.475 Person th from Jan 2010 (Median) to Oct 2018, with 106 observations. The data reached an all-time high of 1,552.280 Person th in Jul 2017 and a record low of 681.510 Person th in Nov 2010. France Hotel Arrivals: Auvergne, Rhône-Alpes: Total data remains active status in CEIC and is reported by French National Institute for Statistics and Economic Studies. The data is categorized under Global Database’s France – Table FR.Q007: Hotels Statistics: Guest Arrivals.
The number of visitors to the United States from Russia decreased in 2022. In that year, the number of visitors to the U.S. from Russia fell to approximately **** thousand, down from the previous year's total of approximately **** thousand.
Financial overview and grant giving statistics of High Sierra Visitors Council
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the data for the Morgan''S Point Resort, TX population pyramid, which represents the Morgan''S Point Resort population distribution across age and gender, using estimates from the U.S. Census Bureau American Community Survey 5-Year estimates. It lists the male and female population for each age group, along with the total population for those age groups. Higher numbers at the bottom of the table suggest population growth, whereas higher numbers at the top indicate declining birth rates. Furthermore, the dataset can be utilized to understand the youth dependency ratio, old-age dependency ratio, total dependency ratio, and potential support ratio.
Key observations
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.
Age groups:
Variables / Data Columns
Good to know
Margin of Error
Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.
Custom data
If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.
Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.
This dataset is a part of the main dataset for Morgan''S Point Resort Population by Age. You can refer the same here
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Congo, Republic of CG: International Tourism: Number of Arrivals data was reported at 158,000.000 Person in 2018. This records an increase from the previous number of 151,000.000 Person for 2017. Congo, Republic of CG: International Tourism: Number of Arrivals data is updated yearly, averaging 224,000.000 Person from Dec 2010 (Median) to 2018, with 9 observations. The data reached an all-time high of 345,000.000 Person in 2013 and a record low of 151,000.000 Person in 2017. Congo, Republic of CG: International Tourism: Number of Arrivals data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Congo, Republic of – Table CG.World Bank.WDI: Tourism Statistics. International inbound tourists (overnight visitors) are the number of tourists who travel to a country other than that in which they have their usual residence, but outside their usual environment, for a period not exceeding 12 months and whose main purpose in visiting is other than an activity remunerated from within the country visited. When data on number of tourists are not available, the number of visitors, which includes tourists, same-day visitors, cruise passengers, and crew members, is shown instead. Sources and collection methods for arrivals differ across countries. In some cases data are from border statistics (police, immigration, and the like) and supplemented by border surveys. In other cases data are from tourism accommodation establishments. For some countries number of arrivals is limited to arrivals by air and for others to arrivals staying in hotels. Some countries include arrivals of nationals residing abroad while others do not. Caution should thus be used in comparing arrivals across countries. The data on inbound tourists refer to the number of arrivals, not to the number of people traveling. Thus a person who makes several trips to a country during a given period is counted each time as a new arrival.;World Tourism Organization, Yearbook of Tourism Statistics, Compendium of Tourism Statistics and data files.;Gap-filled total;
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
BA: International Tourism: Receipts: for Travel Items data was reported at 426.000 USD mn in 2020. This records a decrease from the previous number of 1.173 USD bn for 2019. BA: International Tourism: Receipts: for Travel Items data is updated yearly, averaging 615.000 USD mn from Dec 1998 (Median) to 2020, with 23 observations. The data reached an all-time high of 1.173 USD bn in 2019 and a record low of 233.000 USD mn in 2000. BA: International Tourism: Receipts: for Travel Items data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Bosnia and Herzegovina – Table BA.World Bank.WDI: Tourism Statistics. International tourism receipts for travel items are expenditures by international inbound visitors in the reporting economy. The goods and services are purchased by, or on behalf of, the traveler or provided, without a quid pro quo, for the traveler to use or give away. These receipts should include any other prepayment made for goods or services received in the destination country. They also may include receipts from same-day visitors, except in cases where these are so important as to justify a separate classification. Excluded is the international carriage of travelers, which is covered in passenger travel items. Data are in current U.S. dollars.;World Tourism Organization, Yearbook of Tourism Statistics, Compendium of Tourism Statistics and data files.;Gap-filled total;
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the Dana population distribution across 18 age groups. It lists the population in each age group along with the percentage population relative of the total population for Dana. The dataset can be utilized to understand the population distribution of Dana by age. For example, using this dataset, we can identify the largest age group in Dana.
Key observations
The largest age group in Dana, IN was for the group of age 25 to 29 years years with a population of 88 (13.54%), according to the ACS 2019-2023 5-Year Estimates. At the same time, the smallest age group in Dana, IN was the 70 to 74 years years with a population of 5 (0.77%). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates
Age groups:
Variables / Data Columns
Good to know
Margin of Error
Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.
Custom data
If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.
Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.
This dataset is a part of the main dataset for Dana Population by Age. You can refer the same here
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Ecuador EC: International Tourism: Number of Arrivals data was reported at 1,418,000.000 Person in 2016. This records a decrease from the previous number of 1,544,000.000 Person for 2015. Ecuador EC: International Tourism: Number of Arrivals data is updated yearly, averaging 850,500.000 Person from Dec 1995 (Median) to 2016, with 22 observations. The data reached an all-time high of 1,557,000.000 Person in 2014 and a record low of 440,000.000 Person in 1995. Ecuador EC: International Tourism: Number of Arrivals data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Ecuador – Table EC.World Bank.WDI: Tourism Statistics. International inbound tourists (overnight visitors) are the number of tourists who travel to a country other than that in which they have their usual residence, but outside their usual environment, for a period not exceeding 12 months and whose main purpose in visiting is other than an activity remunerated from within the country visited. When data on number of tourists are not available, the number of visitors, which includes tourists, same-day visitors, cruise passengers, and crew members, is shown instead. Sources and collection methods for arrivals differ across countries. In some cases data are from border statistics (police, immigration, and the like) and supplemented by border surveys. In other cases data are from tourism accommodation establishments. For some countries number of arrivals is limited to arrivals by air and for others to arrivals staying in hotels. Some countries include arrivals of nationals residing abroad while others do not. Caution should thus be used in comparing arrivals across countries. The data on inbound tourists refer to the number of arrivals, not to the number of people traveling. Thus a person who makes several trips to a country during a given period is counted each time as a new arrival.; ; World Tourism Organization, Yearbook of Tourism Statistics, Compendium of Tourism Statistics and data files.; Gap-filled total;
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the data for the Oak Lawn, IL population pyramid, which represents the Oak Lawn population distribution across age and gender, using estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. It lists the male and female population for each age group, along with the total population for those age groups. Higher numbers at the bottom of the table suggest population growth, whereas higher numbers at the top indicate declining birth rates. Furthermore, the dataset can be utilized to understand the youth dependency ratio, old-age dependency ratio, total dependency ratio, and potential support ratio.
Key observations
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
Age groups:
Variables / Data Columns
Good to know
Margin of Error
Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.
Custom data
If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.
Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.
This dataset is a part of the main dataset for Oak Lawn Population by Age. You can refer the same here
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the New Haven population distribution across 18 age groups. It lists the population in each age group along with the percentage population relative of the total population for New Haven. The dataset can be utilized to understand the population distribution of New Haven by age. For example, using this dataset, we can identify the largest age group in New Haven.
Key observations
The largest age group in New Haven, IL was for the group of age 20-24 years with a population of 105 (25.86%), according to the 2021 American Community Survey. At the same time, the smallest age group in New Haven, IL was the 30-34 years with a population of 0 (0.00%). Source: U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.
Age groups:
Variables / Data Columns
Good to know
Margin of Error
Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.
Custom data
If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.
Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.
This dataset is a part of the main dataset for New Haven Population by Age. You can refer the same here
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the Gattman population distribution across 18 age groups. It lists the population in each age group along with the percentage population relative of the total population for Gattman. The dataset can be utilized to understand the population distribution of Gattman by age. For example, using this dataset, we can identify the largest age group in Gattman.
Key observations
The largest age group in Gattman, MS was for the group of age 40 to 44 years years with a population of 47 (31.76%), according to the ACS 2019-2023 5-Year Estimates. At the same time, the smallest age group in Gattman, MS was the 5 to 9 years years with a population of 0 (0%). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates
Age groups:
Variables / Data Columns
Good to know
Margin of Error
Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.
Custom data
If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.
Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.
This dataset is a part of the main dataset for Gattman Population by Age. You can refer the same here
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the Scotts Hill population distribution across 18 age groups. It lists the population in each age group along with the percentage population relative of the total population for Scotts Hill. The dataset can be utilized to understand the population distribution of Scotts Hill by age. For example, using this dataset, we can identify the largest age group in Scotts Hill.
Key observations
The largest age group in Scotts Hill, TN was for the group of age 30-34 years with a population of 166 (14.14%), according to the 2021 American Community Survey. At the same time, the smallest age group in Scotts Hill, TN was the 75-79 years with a population of 17 (1.45%). Source: U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.
Age groups:
Variables / Data Columns
Good to know
Margin of Error
Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.
Custom data
If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.
Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.
This dataset is a part of the main dataset for Scotts Hill Population by Age. You can refer the same here
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the Louisville population distribution across 18 age groups. It lists the population in each age group along with the percentage population relative of the total population for Louisville. The dataset can be utilized to understand the population distribution of Louisville by age. For example, using this dataset, we can identify the largest age group in Louisville.
Key observations
The largest age group in Louisville, IL was for the group of age 15 to 19 years years with a population of 140 (10.87%), according to the ACS 2019-2023 5-Year Estimates. At the same time, the smallest age group in Louisville, IL was the 80 to 84 years years with a population of 29 (2.25%). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates
Age groups:
Variables / Data Columns
Good to know
Margin of Error
Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.
Custom data
If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.
Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.
This dataset is a part of the main dataset for Louisville Population by Age. You can refer the same here
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Laos LA: International Tourism: Number of Arrivals data was reported at 3,315,000.000 Person in 2016. This records a decrease from the previous number of 3,543,000.000 Person for 2015. Laos LA: International Tourism: Number of Arrivals data is updated yearly, averaging 757,000.000 Person from Dec 1995 (Median) to 2016, with 22 observations. The data reached an all-time high of 3,543,000.000 Person in 2015 and a record low of 60,000.000 Person in 1995. Laos LA: International Tourism: Number of Arrivals data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Laos – Table LA.World Bank.WDI: Tourism Statistics. International inbound tourists (overnight visitors) are the number of tourists who travel to a country other than that in which they have their usual residence, but outside their usual environment, for a period not exceeding 12 months and whose main purpose in visiting is other than an activity remunerated from within the country visited. When data on number of tourists are not available, the number of visitors, which includes tourists, same-day visitors, cruise passengers, and crew members, is shown instead. Sources and collection methods for arrivals differ across countries. In some cases data are from border statistics (police, immigration, and the like) and supplemented by border surveys. In other cases data are from tourism accommodation establishments. For some countries number of arrivals is limited to arrivals by air and for others to arrivals staying in hotels. Some countries include arrivals of nationals residing abroad while others do not. Caution should thus be used in comparing arrivals across countries. The data on inbound tourists refer to the number of arrivals, not to the number of people traveling. Thus a person who makes several trips to a country during a given period is counted each time as a new arrival.; ; World Tourism Organization, Yearbook of Tourism Statistics, Compendium of Tourism Statistics and data files.; Gap-filled total;