IDREF1252
false
2024-03-28T14:45:56.5265454+00:00
NonProductionDataflow
true
REPORTING_COUNTRY
LAYOUT_ROW
TIME_PERIOD,SOURCE
LAYOUT_COLUMN
MEASURE,VISITOR_TYPE
LAYOUT_ROW_SECTION
UNIT_MULT=0,ACTIVITY,TOURISM_FORM,FREQ
NOT_DISPLAYED
SOURCE=TDS
DEFAULT
Domestic tourism
Domestic tourism comprises the activities of a resident visitor within the country of reference.
NonProductionDataflow
true
COUNTERPART_COUNTRY
LAYOUT_ROW
TIME_PERIOD,SOURCE
LAYOUT_COLUMN
MEASURE,VISITOR_TYPE,REPORTING_COUNTRY
LAYOUT_ROW_SECTION
UNIT_MULT=0,ACTIVITY,TOURISM_FORM,FREQ
NOT_DISPLAYED
SOURCE=TSS
DEFAULT
Inbound tourism
Inbound tourism comprises the activities of a non-resident visitor within the country of reference.
NonProductionDataflow
true
COUNTERPART_COUNTRY
LAYOUT_ROW
TIME_PERIOD
LAYOUT_COLUMN
REPORTING_COUNTRY,VISITOR_TYPE
LAYOUT_ROW_SECTION
UNIT_MULT=0,ACTIVITY,TOURISM_FORM,FREQ
NOT_DISPLAYED
Outbound tourism
Outbound tourism comprises the activities of residents of a given country travelling to and staying in places outside their country of residence.
Accommodation type
ORDER
1
Total
ORDER
1
Hotels and similar establishments
ORDER
2
Private accommodation
ORDER
3
Other collective accommodation
ORDER
2
Not applicable
Reference area
Total
Andorra
United Arab Emirates
Afghanistan
Antigua and Barbuda
Anguilla
Albania
Armenia
Angola
Antarctica
Argentina
American Samoa
Austria
Australia
Aruba
Aland Islands
Azerbaijan
Bosnia and Herzegovina
Barbados
Bangladesh
Belgium
Region of Brussels-Capital
Flanders
Wallonia
Burkina Faso
Bulgaria
Bahrain
Burundi
Benin
Saint Barthelemy
Bermuda
Brunei Darussalam
Bolivia (Plurinational State of)
Bonaire, Sint Eustatius and Saba
Brazil
Bahamas
Bhutan
Bouvet Island
Botswana
Belarus
Belize
Canada
Cocos (Keeling) Islands
Congo, Democratic Republic of the
Central African Republic
Congo
Switzerland
Cote d'Ivoire
Cook Islands
Chile
Cameroon
China
Colombia
Costa Rica
Cuba
Cabo Verde
Curacao
Christmas Island
Cyprus
Czechia
Germany
Djibouti
Denmark
Dominica
Dominican Republic
Algeria
Ecuador
Estonia
Egypt
Western Sahara
Eritrea
Spain
Ethiopia
Finland
Fiji
Falkland Islands (Malvinas)
Micronesia (Federated States of)
Faroe Islands
France
Gabon
United Kingdom of Great Britain and Northern Ireland
Grenada
Georgia
French Guiana
Guernsey
Ghana
Gibraltar
Greenland
Gambia
Guinea
Guadeloupe
Equatorial Guinea
Greece
South Georgia and the South Sandwich Islands
Guatemala
Guam
Guinea-Bissau
Guyana
Hong Kong
Heard Island and McDonald Islands
Honduras
Croatia
Haiti
Hungary
Indonesia
Ireland
Israel
Isle of Man
India
British Indian Ocean Territory
Iraq
Iran (Islamic Republic of)
Iceland
Italy
Jersey
Jamaica
Jordan
Japan
Kenya
Kyrgyzstan
Cambodia
Kiribati
Comoros
Saint Kitts and Nevis
Korea (Democratic People's Republic of)
Korea, Republic of
Kuwait
Cayman Islands
Kazakhstan
Lao People's Democratic Republic
Lebanon
Saint Lucia
Liechtenstein
Sri Lanka
Liberia
Lesotho
Lithuania
Luxembourg
Latvia
Libya
Morocco
Monaco
Moldova, Republic of
Montenegro
Saint Martin (French part)
Madagascar
Marshall Islands
North Macedonia
Mali
Myanmar
Mongolia
Macao
Northern Mariana Islands
Martinique
Mauritania
Montserrat
Malta
Mauritius
Maldives
Malawi
Mexico
Malaysia
Mozambique
Namibia
New Caledonia
Niger
Norfolk Island
Nigeria
Nicaragua
Netherlands
Norway
Nepal
Nauru
Niue
New Zealand
Oman
Panama
Peru
French Polynesia
Papua New Guinea
Philippines
Pakistan
Poland
Saint Pierre and Miquelon
Pitcairn
Puerto Rico
Palestine, State of
Portugal
Palau
Paraguay
Qatar
Reunion
Romania
Serbia
Russian Federation
Rwanda
Saudi Arabia
Solomon Islands
Seychelles
Sudan
Sweden
Singapore
Saint Helena, Ascension and Tristan da Cunha
Slovenia
Svalbard and Jan Mayen
Slovakia
Sierra Leone
San Marino
Senegal
Somalia
Suriname
South Sudan
Sao Tome and Principe
El Salvador
Sint Maarten (Dutch part)
Syrian Arab Republic
Eswatini
Turks and Caicos Islands
Chad
French Southern Territories
Togo
Thailand
Tajikistan
Tokelau
Timor-Leste
Turkmenistan
Tunisia
Tonga
Turkey
Trinidad and Tobago
Tuvalu
Taiwan, Province of China
Tanzania, United Republic of
Ukraine
Uganda
United States Minor Outlying Islands
United States of America
Uruguay
Uzbekistan
Holy See
Saint Vincent and the Grenadines
Venezuela (Bolivarian Republic of)
Virgin Islands (British)
Virgin Islands (U.S.)
Viet Nam
Vanuatu
Wallis and Futuna
Samoa
Yemen
Mayotte
South Africa
Zambia
Zimbabwe
Switzerland and Liechtenstein
United States and Canada
America (Continent)
Central America
North America
South America
Europe
Nordic countries
Europe not specified
Other Europe
Asia
Not applicable
Source
Tourism supply surveys
Tourism demand surveys
Not applicable
Activity
Tourism
Tourism industries
Accommodation services for visitors
5510+5520+5590+6810+6820
Hotels and similar establishments
5510
Food and beverage serving industries
5610+5629+5630
Passenger transport
5110+4911+4922+5011+5021
Air passenger transport
5110
Railways passenger transport
4911
Road passenger transport
4922
Water passenger transport
5011+5021
Passenger transport supporting services
Not specified - depends on country
Transport equipment rental
7710
Travel agencies and other reservation services industry
7911+7912+7990
Cultural industry
9000+9102+9103
Sports and recreation industry
7721+9200+9311+9319+9321+9329
Retail trade of country-specific tourism charasteristic goods
Not specified - depends on country
Other country-specific tourism industries
Not specified - depends on country
Other industries
Not specified - depends on country
Tourism form
Inbound
Outbound
Domestic
Measure
Share of GDP (direct)
Share of employment (direct)
Visitors
Nights spent in tourism accommodation establishments
Enterprises
Employment
Consumption
Expenditure
Consumption (Other)
Receipts
Share of GVA (direct)
Unit of measure
Percentage of GDP
Percentage of total employment
Percentage of total GVA
Number
Persons
National currency
Euro
US Dollar
Visitor type
ORDER
1
Total visitors
ORDER
2
Overnight visitors (tourists)
ORDER
3
Same-day visitors (excursionists)
ORDER
4
Not applicable
Visitor type
ORDER
1
All visitors
ORDER
2
Same-day visitors (excursionists)
ORDER
3
Overnight visitors (tourists)
ORDER
4
Stayed in hotels and similar establishments
ORDER
5
Stayed in private accommodation
ORDER
6
Stayed in other collective accommodation
Confidentiality Status
Statut de confidentialité
Free (free for publication)
Libre (libre pour publication)
Used for observations without any special sensitivity considerations and which can thus be freely shared. Usually, source organisations provide information and guidance on general requirements for re-dissemination (like mentioning the source) either on their websites or in their paper publications. In some institutional environments the term "unclassified" is used in a sense that still denotes implied restrictions in the circulation of information. If this is the case, the organisations concerned may probably consider that "free" (value F) is not the appropriate tag for this kind of "unclassified" category and that "Not for publication, restricted for internal use only" (value N) may be more appropriate.
Not for publication, restricted for internal use only
Non destiné à la publication, réservé à un usage interne uniquement
Used to denote observations that are restricted for internal use only within organisations. This code may be accompanied with an additional observation-level attribute: CONF_REDIST which defines the secondary recipient(s) to whom the sender allows the primary recipient to forward confidential data.
Confidential statistical information
Information statistique confidentielle
Confidential statistical information (primary confidentiality) due to identifiable respondents. Measures also should be taken to prevent not only direct access, but also indirect deduction or calculation by other users and parties, probably by considering and treating additional observations as "confidential" (secondary confidentiality management).
Secondary confidentiality set by the sender, not for publication
Confidentialité secondaire définie par l'expéditeur, non destinée à la publication
Used by the sender of the data to flag (beyond the confidential statistical information) additional observations in the dataset so that the receiver knows that he/she should suppress these observations in subsequent stages of processing (especially dissemination) in order to prevent third parties to indirectly deduct the observations that are genuinely flagged with "C".
Secondary confidentiality set and managed by the receiver, not for publication
Confidentialité secondaire définie et gérée par le destinataire, pas pour publication
If senders do not manage the secondary confidentiality in their data and/or there are also other countries' data involved (with the intention to eventually compile a regional-wide aggregate that is going to be published), the value "S" is used by the receiver to flag additional suppressed observations (within sender's data and/or within the datasets of other senders) in subsequent stages of processing (especially, dissemination) in order to prevent third parties to indirectly deduct the observations that were genuinely flagged with "C" by the sender.
Primary confidentiality due to small counts
Confidentialité primaire en raison des petits comptes
A cell is flagged as confidential if less than m units ("too few units") contribute to the total of that cell. The limits of what constitutes "small counts" can vary across statistical domains, countries, etc.
Primary confidentiality due to dominance by one unit
Confidentialité primaire due à la dominance d'une unité
Used when one unit accounts for more than x % of the total of a cell. The value of x can vary across statistical domains or countries, be influenced by legislation, etc.
Primary confidentiality due to dominance by two units
Confidentialité primaire due à la dominance de deux unités
Used when two units account for more than x % of the total of a cell. The value of x can vary across statistical domains or countries, be influenced by legislation, etc.
Primary confidentiality due to dominance by one or two units
Confidentialité primaire due à la dominance d'une ou deux unités
Used when one or two units account(s) for more than x % of the total of a cell. The value of x can vary across statistical domains or countries, be influenced by legislation, etc.
Primary confidentiality due to data declared confidential based on other measures of concentration
Confidentialité primaire due aux données déclarées confidentielles sur la base d'autres mesures de concentration
Cells declared confidential using mathematical definitions of sensitive cells, e.g. p-percent, p/q or (n,k) rules.
Not for publication, restricted for internal use only (equivalent to the code N) until the embargo time elapses; Free for publication (equivalent to the code F) after the embargo time elapses.
Non destiné à la publication, réservé à un usage interne uniquement (équivalent au code N) jusqu'à l'expiration du délai d'embargo ; Libre de publication (équivalent au code F) après l'expiration du délai d'embargo.
Used for embargoed data. The embargo time has to be specified in the EMBARGO_TIME attribute. This code may be accompanied with an additional observation-level attribute: CONF_REDIST which defines the secondary recipient(s) to whom the sender allows the primary recipient to forward confidential data.
Decimals
This code list provides a list of values showing the number of decimal digits used in the data. This code list was released in 2009. More information about this code list and SDMX code lists in general (e.g. list of generic codes for expressing general concepts like "Total", "Unknown", etc.; syntaxes for the creation of further codes; general guidelines for the creation of SDMX code lists) can be found at this address: https://sdmx.org/?page_id=4345.
Zero
One
Two
Three
Four
Five
Six
Seven
Eight
Nine
Ten
Eleven
Twelve
Thirteen
Fourteen
Fifteen
Frequency
This code list provides a set of values indicating the "frequency" of the data (e.g. weekly, monthly, quarterly). The concept “frequency” may refer to various stages in the production process, e.g. data collection or data dissemination. For example, a time series could be disseminated at annual frequency but the underlying data are compiled monthly. The code list is applicable for all different uses of "frequency". This code list was formally adopted on 4 December 2013. More information about and supporting material for this code list and SDMX code lists in general (e.g. list of generic codes for expressing general concepts like "Total", "Unknown", etc.; syntaxes for the creation of further codes; general guidelines for the creation of SDMX code lists) can be found at this address: https://sdmx.org/?page_id=4345.
Annual
To be used for data collected or disseminated every year.
Half-yearly, semester
To be used for data collected or disseminated every semester.
Quarterly
To be used for data collected or disseminated every quarter.
Monthly
To be used for data collected or disseminated every month.
Weekly
To be used for data collected or disseminated every week.
Daily
To be used for data collected or disseminated every day.
Hourly
To be used for data collected or disseminated every hour.
Daily – businessweek
Similar to "daily", however there are no observations for Saturdays and Sundays (so, neither "missing values" nor "numeric values" should be provided for Saturday and Sunday). This treatment ("business") is one way to deal with such cases, but it is not the only option. Such a time series could alternatively be considered daily ("D"), thus, with missing values in the weekend.
Minutely
While N denotes "minutely", usually, there may be no observations every minute (for several series the frequency is usually "irregular" within a day/days). And though observations may be sparse (not collected or disseminated every minute), missing values do not need to be given for the minutes when no observations exist: in any case the time stamp determines when an observation is observed.
Code list for Observation Status
Information on the quality of a value or an unusual or missing value.
Normal value
To be used as default value if no value is provided or when no special coded qualification is assumed. Usually, it can be assumed that the source agency assigns sufficient confidence to the provided observation and/or the value is not expected to be drama
Time series break
Observations are characterised as such when different content exists or a different methodology has been applied to this observation as compared with the preceding one (the one given for the previous period).
Definition differs
Used to indicate slight deviations from the established methodology (footnote-type information); these divergences do not imply a break in time series.
Estimated value
Observation obtained through an estimation methodology (e.g. to produce back-casts) or based on the use of a limited amount of data or ad hoc sampling and through additional calculations (e.g. to produce a value at an early stage of the production stage while not all data are available). It may also be used in case of experimental data (e.g. in the context of a pilot ahead of a full scale production process) or in case of data of (anticipated/assessed) low quality. If needed, additional information can be provided through free text using the COMMENT_OBS attribute at the observation level or at a higher level. This code is to be used when the estimation is done by a sender agency. When the imputation is carried out by a receiver agency in order to replace or fill gaps in reported data series, the flag to use is I "Value imputed by a receiving agency".
Forecast value
Value deemed to assess the magnitude which a quantity will assume at some future point of time (as distinct from "estimated value" which attempts to assess the magnitude of an already existent quantity).
Experimental value
Data collected on the basis of definitions or (alternative) collection methods under development. Data not of guaranteed quality as normally expected from provider.
Value imputed by a receiving agency
Observation imputed by a receiving agency to replace or fill gaps in reported data series. This code is intended to cover all cases where a receiving agency publishes data about a sending agency that do not come from an official source in the sender agency's reporting framework.When the estimation is done by the sender agency, the flag to use is E "Estimated value".
Data included in another category
This code is used when data for a given category are missing and are included in another category, sub-total or total. Generally where code "K" is used there should be a corresponding code "W - Includes data from another category" assigned to the over-cov
Includes data from another category
This code is used when data include another category, or go beyond the scope of the data collection and are therefore over-covered. Generally, where code "W" is used there should be a corresponding code "K - Data included in another category" assigned to
Missing value
This code is to be used when no breakdown is made between the reasons why data are missing. Data can be missing due to many reasons: data cannot exist, data exist but are not collected (e.g. because they are below a certain threshold or subject to a derog
Missing value; data cannot exist
Used to denote empty cells resulting from the impossibility to collect a statistical value (e.g. a particular education level or type of institution may be not applicable to a given country's education system).
Provisional value
An observation is characterised as "provisional" when the source agency - while it bases its calculations on its standard production methodology - considers that the data, almost certainly, are expected to be revised.
Strike and other special events
Special circumstances (e.g. strike) affecting the observation or causing a missing value.
Missing value; data exist but were not collected
Used, for example, when some data are not reported/disseminated because they are below a certain threshold.
Missing value; holiday or weekend
Used in some daily data flows.
Missing value; suppressed
Used, for example, when data are suppressed due to statistical confidentiality considerations.
Derogation
Clause in an agreement (e.g. legal act, gentlemen's agreement) stating that some provisions in the agreement are not to be implemented by designated parties; these derogations may affect the observation or cause a missing value. In general, derogations ar
Not significant
Used to indicate a value which is not a "real" zero (e.g. a result of 0.0004 rounded to zero).
Low reliability
This indicates existing observations, but for which the user should also be aware of the low quality assigned.
Unvalidated value
Observation as received from the respondent without further evaluation of data quality.
Unit Multiplier
Units
In scientific notation, expressed as ten raised to the power of zero (10^0)
Tens
In scientific notation, expressed as ten raised to the power of one (10^1)
Hundreds
In scientific notation, expressed as ten raised to the power of two (10^2)
Thousands
In scientific notation, expressed as ten raised to the power of three (10^3)
Tens of thousands
In scientific notation, expressed as ten raised to the power of four (10^4)
Hundreds of thousands
In scientific notation, expressed as ten raised to the power of five(10^5)
Millions
In scientific notation, expressed as ten raised to the power of six (10^6)
Tens of millions
In scientific notation, expressed as ten raised to the power of seven (10^7)
Hundreds of millions
In scientific notation, expressed as ten raised to the power of eight (10^8)
Billions
In scientific notation, expressed as ten raised to the power of nine (10^9)
Tens of billions
In scientific notation, expressed as ten raised to the power of ten (10^10)
Hundreds of billions
In scientific notation, expressed as ten raised to the power of eleven (10^11)
Trillions
In scientific notation, expressed as ten raised to the power of twelve (10^12)
Tens of trillions
In scientific notation, expressed as ten raised to the power of thirteen (10^13)
Hundreds of trillions
In scientific notation, expressed as ten raised to the power of fourteen (10^14)
Quadrillions
In scientific notation, expressed as ten raised to the power of fifteen (10^15)
Concept scheme for tourism
Reporting country
Top counterpart country
Reference area
Measure
Tourism form
Visitor type
Accommodation type
Activity
Source
Unit of measure
Frequency of observation
Time period
Observation value
Unit multiplier
Observation status
Observation status nr 2
Confidentiality status
Decimals
DSD for tourism trips