Occupancy of tourist accommodation establishments (tour_occ)

National Reference Metadata in Euro SDMX Metadata Structure (ESMS)

Compiling agency: Central Statistical Bureau


Eurostat metadata
Reference metadata
1. Contact
2. Metadata update
3. Statistical presentation
4. Unit of measure
5. Reference Period
6. Institutional Mandate
7. Confidentiality
8. Release policy
9. Frequency of dissemination
10. Accessibility and clarity
11. Quality management
12. Relevance
13. Accuracy
14. Timeliness and punctuality
15. Coherence and comparability
16. Cost and Burden
17. Data revision
18. Statistical processing
19. Comment
Related Metadata
Annexes (including footnotes)
 



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1. Contact Top
1.1. Contact organisation

Central Statistical Bureau
1.2. Contact organisation unit

Transport and Tourism Statistics Section
1.5. Contact mail address

Central Statistical Bureau of Latvia, 1 Lāčplēša street, Riga, LV1010


2. Metadata update Top
2.1. Metadata last certified 06/05/2024
2.2. Metadata last posted 06/05/2024
2.3. Metadata last update 06/05/2024


3. Statistical presentation Top
3.1. Data description

[Optional]
3.2. Classification system

Classification according to NACE Rev.2 classification (groups 55.1, 55.2, 55.3):

1. Hotels and similar establishments - includes hotels, motels, rehabilitation centres, spa hotels and guesthouses (with daily cleaning)

2. Holidays and other short-stay accommodation -  includes holiday/guesthouses, guest apartments, youth hostels - hostels, tourism and holiday complexes/centres

3. Camping grounds, recreational vehicle parks and trailer parks - includes campsites, trailer parks, rest places with overnight stays (for hunting, fishing, etc.)

 

National Classification of Administrative Territories and Territorial Units.

Nomenclature of countries based on ISO 3166 (alpha-2) classification.
3.3. Coverage - sector

NACE Rev.2 - 55.1, 55.2 and 55.3
3.4. Statistical concepts and definitions
3.4.1 Statistical concepts and definitions

See Regulation 692/2011 and Methodological Manual for Tourism Statistics
3.4.2 Additional comments (if deviations from the Regulation)
3.5. Statistical unit

Local kind-of-activity unit (accommodation establishment) offering short-stay accommodation to tourists.
3.6. Statistical population
3.6.1 Statistical population 

All local kind-of-activity unit (accommodation establishment) offering short-stay accommodation as a paid service (although the price might be partially or fully subsidised) to tourists as defined in NACE 55.1, 55.2 and 55.3
3.6.2 Additional comments

The list of respondents includes enterprises and individuals whose main or second business activity corresponds to NACE Rev. 2. 5510, 5520, 5530, and also other enterprises and individuals providing accommodation services in addition to its other main industry services.
3.7. Reference area
3.7.1 Reference area 
3.7.2 Regional coverage / granularity (e.g. lowest level of regional detail available)  

 LAU2
3.8. Coverage - Time

Coverage - Time [data comparable since (YYYY)]

3.8.1 Hotels and similar accommodation (NACE 55.1) (Year)

1997
3.8.2 Holiday and other short-stay accommodation (NACE 55.2) (Year)

1997
3.8.3 Camping grounds, etc. (NACE 55.3) (Year)

1997
3.8.4 Additional comments (e.g. if different for CAP or OCC; older series for some vars; incoherence across regions; etc.)
3.9. Base period

Not applicable.


4. Unit of measure Top

Not applicable.


5. Reference Period Top
5.1 Capacity 

2022
5.2 Occupancy 

Annual = 2022

Monthly = July 2022


6. Institutional Mandate Top
6.1. Institutional Mandate - legal acts and other agreements
6.1.1 European level

Regulation 692/2011

Regulation 1051/2011

Delegated Regulation 2019/1681

Delegated Regulation 2020/1569

 
6.1.2 National level
6.2. Institutional Mandate - data sharing

Not applicable.


7. Confidentiality Top
7.1. Confidentiality - policy

Statistics Law, Section 17

CSB Confidentiality Handbook (2009)
7.2. Confidentiality - data treatment

According to CSB Confidentiality Handbook (2009):

  • Threshold rule - A tabular cell is confidential, if less than 3 entities contribute to the total of that cell.


8. Release policy Top
8.1. Release calendar

Advance dissemination calendar of publications, press releases and statistical tables planned for the next year is published on the website of Central Statictical Bureau:

https://stat.gov.lv/lv/kalendars?Dates=%22N%C4%81kamais+gads%22&Themes=%222377%22
8.2. Release calendar access

Planned:

https://stat.gov.lv/en/calendar?Dates=%22Next+year%22&Organizations=%22Central+Statistics+Bureau+of+Latvia%22&Themes=%222377%22

Recently published:

https://stat.gov.lv/lv/meklet?Search=%22%22&DataSource=%22publications%22&PublicationType=%5B%22press_release%22%5D&Themes=%222478%22
8.3. Release policy - user access

[Optional]


9. Frequency of dissemination Top

Monthly


10. Accessibility and clarity Top
10.1. Dissemination format - News release

From 2020 news releases of accommodation data are published monthly - arrivals by country of residence and administrative breakdown (LAU2), number of nights spent by country of residence.

The news releases can be viewed on the website:

https://stat.gov.lv/en/statistics-themes/business-sectors/tourism#press-releases
10.2. Dissemination format - Publications

Tourism in Latvia 2023 - Collection of Statistical data for year 2022

Statistical Yearbook of Latvia 2023

Statistics in Brief. Latvia 2023
10.3. Dissemination format - online database

Accommodation data are published monthly, quarterly and annualy in online database under the theme: Business sectors - Tourism.

https://data.stat.gov.lv/pxweb/en/OSP_PUB/START__NOZ__TU__TUV/?tablelist=true

 
10.4. Dissemination format - microdata access

Not applicable
10.5. Dissemination format - other
10.6. Documentation on methodology

Metadata:

https://stat.gov.lv/en/metadata/2699-activities-hotels-and-other-accommodation-establishments
10.7. Quality management - documentation

Not publicly available


11. Quality management Top
11.1. Quality assurance

CSB quality documentation:

https://www.csp.gov.lv/en/quality-assurance-framework
11.2. Quality management - assessment
Restricted from publication


12. Relevance Top
12.1. Relevance - User Needs
12.1.1 European level

See: Regulation 692/2011
12.1.2 Main users on a national level

Data are available in regular tables in online database and on request.

The main users of statistical information are State and municipal authorities and agencies (also regular data requests from City councils), research and business communities, the media, students.
12.2. Relevance - User Satisfaction

[Optional]
12.3. Completeness

12.3.1 Completeness

12.3.1.1 Completeness

Compliant with the requirements of Regulation on tourism statistics 692/2011 as well as recommendations laid down in the Methodological Manual for tourism statistics.
12.3.1.2 If not complete, please specify why and list deviations from Reg.


12.3.2 Thresholds used ("limitation of the scope")

12.3.2.1 Hotels and similar accommodation (NACE 55.1)

no threshold
12.3.2.2 Holiday and other short-stay accommodation (NACE 55.2)

no threshold
12.3.2.3 Camping grounds, etc. (NACE 55.3)

no threshold


13. Accuracy Top
13.1. Accuracy - overall

Survey on accommodation statistics is not a sample survey, so the estimates do not contain sampling error. The undercoverage error might occur because of the situation that not all units that offer accommodation services are always registered in relevant activity (NACE) in the Business Register of Latvia or might not be registered at all and so might not be included in survey as well as there are respondents who have refused to provide data at all. Also the accommodation establishments which started to operate during the second half of the year are mostly included in the survey starting from the January of next year. Data of capacity of all types of accommodation establishments has a high level of accuracy. The data are verified and anlysed in individual level and in aggregated level. There are very few missing answers and the survey is fully completed by respondents. The imputation of missing data is used when regular respondent has not submitted the data for the actual month - data is then imputed from the same month of previous year (if available) or previous month.
13.2. Sampling error

13.2.1 Sampling errors - indicators (Occupancy only)

Information on Sampling errors may also be provided in the attached file.  Estimated value  CV 
13.2.1.1 Annual number of arrivals (res + non-res.)

Not applicable

Not applicable
13.2.1.2 Annual number of nights spent (res + non-res.)

Not applicable

Not applicable
13.2.1.3 Annual number of nights spent (residents)

Not applicable

Not applicable
13.2.1.4 Annual number of nights spent (non-residents)

Not applicable

Not applicable
13.2.1.5 Annual number of nights spent (res + non-res), NACE 55.1

Not applicable

Not applicable
13.2.1.6 Annual number of nights spent (res + non-res), NACE 55.2

Not applicable

Not applicable
13.2.1.7 Annual number of nights spent (res + non-res), NACE 55.3

Not applicable

Not applicable
13.2.1.8 Monthly number of nights spent (res + non-res) (for the reference month mentioned under 5.2)

Not applicable

Not applicable


13.2.2 Additional comments on sampling error

Survey on accommodation statistics is not a sample survey, so the estimates do not contain sampling error.


Annexes:
13.2 Sampling error
13.3. Non-sampling error

13.3.1 Coverage-errors

13.3.1.1 Over-coverage

Over-coverage might occure due to the fact that the units are registered in the accommodation activities by NACE, but in fact they do not offer accommodation services to tourists so they are excluded from observation, but the rate can not be calculated. The precise value of over-coverage error can not be calculated.
13.3.1.2 Under-coverage

The undercoverage error might occur because of the situation that not all units that offer accommodation services are always registered in relevant activity (NACE) in the Business Register of Latvia or might not be registered at all and so might not be included in survey. The precise value of undercoverage error can not be calculated.


13.3.2 Unit non-response (for the reference month mentioned under 5.2)

Information on Unit non-response may also be provided in the attached file.  NACE 55.1  NACE 55.2  NACE 55.3 
13.3.2.1 Number of ineligible units/ elements

18

42

8
13.3.2.2 Number of eligible units/elements

338

772

100
13.3.2.3 Number of non-contacts

1

3

1
13.3.2.4 Number of refusals

17

37

7
13.3.2.5 Number of rejected questionnaires

0

0

0
13.3.2.6 Number of other types of non-response

0

0

0
13.3.2.7 Total non-response

18

40

8
13.3.2.8 Unit non-response rate

5.3

5.2

8.0


13.3.3 Methods used for dealing with/minimising unit-non response

Reminding e-mails of the survey participation, phone calls

Imputation based on background characteristics and seasonality


13.3.4 Item non-response

13.3.4.1 Item non-response 

No significant item non-response
13.3.4.2 Methods used for dealing with/minimising item-non-response

Not applicable.


13.3.5 Additional comments on non-sampling error (e.g. in case the reference month is very different from other months in terms of non-response)


Annexes:
13.3.2 Unit non-response


14. Timeliness and punctuality Top
14.1. Timeliness
14.1.1 Capacity

45
14.1.2 Occupancy (annual data)

45
14.1.3 Occupancy (monthly data) (for the reference month mentioned under 5.2)

45
14.2. Punctuality
14.2.1 Capacity

2022 annual capacity data have been transmitted to Eurostat 1 day before the deadline.
14.2.2 Occupancy (annual data)

2022 annual occupancy data have been transmitted to Eurostat 1 day before the deadline.
14.2.3 Occupancy (monthly data) (for the reference month mentioned under 5.2)

July 2022 monthly data on nights spent (rapid key indicators) have been transmitted to Eurostat on time.


15. Coherence and comparability Top
15.1. Comparability - geographical

Data are geographically comparable.
15.2. Comparability - over time
15.2.1 Hotels and similar accommodation (NACE 55.1)

See 3.8.1

Break in time series in 2012:

Until 2012, 'Hotels and similar accommodation' (NACE 55.1) included guest houses.
15.2.2 Holiday and other short-stay accommodation (NACE 55.2)

See 3.8.2

Break in time series in 2012:

Since 2012, guest houses are included in 'Holiday and other short-stay accommodation' (NACE 55.2).
15.2.3 Camping grounds, etc. (NACE 55.3)

See 3.8.3
15.3. Coherence - cross domain

Coherence has not been evaluated.
15.4. Coherence - internal

Coherence between annual and monthly data: for occupancy data annual data equals the sum of monthly data.


16. Cost and Burden Top
Restricted from publication


17. Data revision Top
17.1. Data revision - policy
17.1.1 Capacity 

Data are published as final and are not subject to revision. Published data may be revised for mistakes or significant improved information and changes.
17.1.2 Occupancy 

Data are published as final and are not subject to revision. Published data may be revised for mistakes or significant improved information and changes.
17.2. Data revision - practice
17.2.1 Capacity 

Data are published as final and are not subject to revision. Published data may be revised for mistakes or significant improved information and changes.
17.2.2 Occupancy 

Data are published as final and are not subject to revision. Published data may be revised for mistakes or significant improved information and changes.


18. Statistical processing Top
18.1. Source data

18.1.1 Source data

18.1.1.1 Source data Census
18.1.1.2 Name of data collection in national language

Pārskats par viesnīcu un citu tūristu mītņu darbību
18.1.1.3 Name of data collection in English

Survey of hotels and other accommodation establishments
18.1.1.4 Additional comments, if any (e.g. differences per NACE class, use of statistical estimation techniques)


18.1.2 Population frame

18.1.2.1 Population frame 
18.1.2.1.1 Capacity Statistical business register
18.1.2.1.2 Occupancy  Statistical business register
18.1.2.2 Update of population frame 
18.1.2.2.1 Capacity  Continuously (e.g. daily or weekly automated delivery)
18.1.2.2.2 Occupancy  Continuously (e.g. daily or weekly automated delivery)
18.1.2.3 Other or additional comments 
18.1.2.4 Coverage errors of population frame 
18.1.2.4.1 Capacity 

Overcoverage - due to incorrect auxiliary information (NACE) assigned
18.1.2.4.2 Occupancy 

Overcoverage - due to incorrect auxiliary information (NACE) assigned. Also some number of guests which are not tourists (seasonal workers, students) are reported by accommodation establishments because they can not exclude them from their statistics. The precise value of overcoverage error can not be calculated.


18.1.3 Sampling design

Census survey


18.1.4 Other or additional comments on source data, population frame or sampling design (e.g. differences per NACE class)
18.2. Frequency of data collection
18.2.1 Capacity Monthly
18.2.2 Occupancy  Monthly
18.2.3 If other frequency or additional comments (e.g. differences per NACE class), please specify
18.3. Data collection

18.3.1 Type of survey

18.3.1.1 Capacity Business survey collected by the NSI
18.3.1.2 Occupancy Business survey collected by the NSI
18.3.1.3 If other type or non-NSI, or additional comments (e.g. differences per NACE class), please specify


18.3.2 Data collection methods

18.3.2.1 Capacity Electronic/online survey via webform
18.3.2.2 Occupancy Electronic/online survey via webform
18.3.2.3 If other or additional comments (e.g. differences per NACE class), please specify
18.3.2.4 If a combination of data collection methods is used, please indicate the share of reporting establishments per method (as well as their share in total nights spent)
18.3.2.5 Questionnaire in national language (Annex/Link)

 

"1-tūristu mītnes" - Pārskats par viesnīcu un citu tūristu mītņu darbību

https://www.csp.gov.lv/lv/katalogs/parskats-par-viesnicu-un-citu-turistu-mitnu-darbibu-2
18.3.2.6 Questionnaire in English (Annex/Link)

Not available
18.3.2.7 Interviewer instructions in English (Annex/Link)

Not available
18.4. Data validation
18.4.1 Capacity 

According to the capacity data the preprint of number of rooms and beds for each respondent is used in the online-survey questionnaire in Electronic Data Collection (EDC) system based on the information given by respondent on the first submission. In case of change it is corrected. Another data validation rules are carried out during loading the questionnaire into the database - check for large changes compared to previous period, logical relation between values. Errors are corrected on logical basis or by contacting the respondents.
18.4.2 Occupancy 

Primary data controls are introduced for the online-survey questionnaire in Electronic Data Collection (EDC) system. List of data validation rules is carried out during the data entry of respondent - logical relation between values, arithmetic errors of values, missing values​​. Another data validation rules are carried out during loading the questionnaire into the database - completeness, check for large changes compared to previous period, logical relation between values. After that raw source data are checked and analysed - the comparability of data overtime, ratio of rooms/beds booked, occupancy rates for each respondent, abnormal values of nationalities of the guests. Errors are corrected on logical basis or by contacting the respondents.
18.5. Data compilation

Missing responses are imputed with data given by the same respondent from previous period (data of the same month of previous year or previous month). For some non-contact respondents the information of reviews of guests by nationality in reservation platform is used (if there are more reviews than number of guests respondent submitted in previous periods).
18.6. Adjustment

Not applicable.


19. Comment Top

[Optional]


Related metadata Top


Annexes Top