Turnover and volume of sales index

National Reference Metadata in Euro SDMX Metadata Structure (ESMS)

Compiling agency: Swiss Federal Statistical Office (FSO)


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

Swiss Federal Statistical Office (FSO)

1.2. Contact organisation unit

Short Term inquiries  (KE)

1.5. Contact mail address

Swiss Federal Statistical Office
Short-Term Inquiries
Espace de l'Europe 10
CH-2010 Neuchâtel


2. Metadata update Top
2.1. Metadata last certified 03/07/2023
2.2. Metadata last posted 03/07/2023
2.3. Metadata last update 03/07/2023


3. Statistical presentation Top
3.1. Data description

The Retail Trade Turnover Statistics (DHU) is a monthly economic statistic describing the turnover evolution of the retail trade at the national level. It also aims at estimating the evolution of monthly private consumption.

3.2. Classification system

NACE Rev. 2

3.3. Coverage - sector

Activities covered: Division 47

Size classes covered: enterprises with more than 2 employees

3.4. Statistical concepts and definitions

Monthly turnover in retail trade by class of goods. Turnover is valued including VAT, but excluding discounts/rebates.

Qualitative assessment of the economic situation of the enterprise.

3.5. Statistical unit

Reporting unit: Enterprise

Observation unit: Enterprise

3.6. Statistical population

All active enterprises in division 47 of NACE Rev. 2. with more than 2 employees.

3.7. Reference area

Switzerland

3.8. Coverage - Time

From January 2000

3.9. Base period

2015=100


4. Unit of measure Top

Indices


5. Reference Period Top

Month


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

Legal basis:

Federal Law on Statistics of 9 October 1992
Bundesstatistikgesetz (BstatG) vom 9. Oktober 1992
Loi fédérale du 9 octobre 1992 sur la statistique fédérale (LSF)
Ordinance of 30 June 1993 on the Implementation of Statistical Surveys
Verordnung vom 30. Juni 1993 über die Durchführung von statistischen Erhebungen des Bundes
Ordonnance du 30 juin 1993 concernant l'exécution des relevés statistiques fédéraux

Bilateral agreement with the European Union

6.2. Institutional Mandate - data sharing

Eurostat, Swiss National Bank (SNB), State Secretariat for Economic Affairs (SECO)


7. Confidentiality Top
7.1. Confidentiality - policy

The compilation and publication of the data are governed by the Federal Law on Statistics (10/9/92), the Ordinance on the Execution of Statistical Surveys (06/30/93) and the Federal Law on Data Protection (06/19/92). The Federal Law on Data Protection specifies that the Swiss Federal Statistical Office cannot publish, or otherwise make available to any individual or organisation, statistics that would enable the identification of data for any individual person or entity.

7.2. Confidentiality - data treatment

All individual data are treated as confidential and rendered anonymous. Tabular data should not permit the disclosure of individual enterprises. Data are only published down to an activity level at which it is not confidential.


8. Release policy Top
8.1. Release calendar

An advance release calendar with the precise date is disseminated on the FSO Website under the page (https://www.bfs.admin.ch/bfs/en/home/news/agenda.html).

8.2. Release calendar access

https://www.bfs.admin.ch/bfs/en/home/news/agenda.html

8.3. Release policy - user access

The data are released simultaneously to all interested parties.

Internal government access to the data prior (5 days) to their release to the public is limited to the Ministry of Economy and the Swiss National Bank.

Data are transmitted to Eurostat under embargo


9. Frequency of dissemination Top

Monthly


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

Standardised monthly news release by the FSO covering turnover in retail trade

10.2. Dissemination format - Publications

no publication available

10.3. Dissemination format - online database

Monthly turnover and volume index at the 3-digit NACE level and above; gross, calendar and seasonally adjusted data.

https://www.bfs.admin.ch/bfs/en/home/statistics/industry-services/production-orders-turnover/tertiary-sector.html

https://www.pxweb.bfs.admin.ch/

10.4. Dissemination format - microdata access

No microdata access in conformity with the Federal Law on Data Protection (06/19/92).

10.5. Dissemination format - other

Data sent to Eurostat

10.6. Documentation on methodology

not available

10.7. Quality management - documentation

not available


11. Quality management Top
11.1. Quality assurance

Code of Practice: https://www.bfs.admin.ch/bfs/en/home/fso/quality-commitment.html

11.2. Quality management - assessment

Fulfilled according to international regulations.


12. Relevance Top
12.1. Relevance - User Needs

The data is used by the Swiss National Bank, the State Secretariat for Economic Affairs and many other users

12.2. Relevance - User Satisfaction

not available

12.3. Completeness

all required time series are available


13. Accuracy Top
13.1. Accuracy - overall

The sampling and non-sampling errors in the data are small, the first estimates are not biased. Revisions from the first to the final estimate are less than 1 percentage point, results are considered final after 5 months. The most significant sources of error are coverage errors, classification changes and data processing errors.

13.2. Sampling error

The sample method is stratified random sampling. The coefficient of variance is less than 5%.

13.3. Non-sampling error

The Retail trade turnover survey includes enterprises that have their main activity in Division 47 (NACE Rev. 2). But the frame is constructed using a "frozen" version of the business register, so enterprises entering into the business register after this freezing moment or enterprises wrongly classified outside of retail trade represent undercoverage. Enterprises exiting the frame (closures, wrongly classified) after this moment are excluded from the survey, so overcoverage should be minimal.

Unit nonresponse (September 2022): 45%, representing less than 10% of target variable (turnover) of the sample frame.

Item nonresponse: 0%


14. Timeliness and punctuality Top
14.1. Timeliness

Timeliness: First estimate at t+1 month, final results at t+5 months

Timetable of data collection: The questionnaires are sent out during the last week of the reference month. The deadline for replies is 2 weeks after the end of the reference period. A reminder is sent after the deadline. Selective phone reminders are used by necessity.

14.2. Punctuality

Deadlines are respected and data are published on time.


15. Coherence and comparability Top
15.1. Comparability - geographical

In line with ESS/international concepts and definitions.

15.2. Comparability - over time

Comparable monthly time series since january 2000.

15.3. Coherence - cross domain

SBS and STS data are coherent to a limited extent only. The reason is, among others, different methods of compiling the respective statistics due to different purposes of SBS and STS statistics. However, these limitations have no impact on the validity of the statistics themselves. Basically, the monthly statistics present the economic development in trade whereas the annual survey delivers information on the structure of the enterprises, their economic situation and their earnings.

15.4. Coherence - internal

The internal coherence is assured.


16. Cost and Burden Top

Global cost estimation for the FSO is about 3.5 full-time equivalent. Burden estimates for respondents is on average 30 minutes per form.


17. Data revision Top
17.1. Data revision - policy

First estimate at t+1 month, revisions at t+2 months and t+3 months, final estimate at t+5 months.

Change of base year and weights every 5 years, in the years X0 and X5.

Major methodological changes and revisions are announced in advance.

The same revision policy is applied to STS data released nationally and transmitted to Eurostat.

17.2. Data revision - practice

According to Eurostat guidlines on Quality Indicators MAR (Mean Absolute Revision) and MR (Mean Revision) are calculated for the last 36 months (Jan 2020 - Dec 2022):

Growth rates for real calendar adjusted data (YoY):
MR: 0.50
MAR: 0.90

Growth rates for real seasonally adjusted data (MoM):
MR: 0.22
MAR: 0.81


18. Statistical processing Top
18.1. Source data

Type of source: statistical survey

Frame on which the source is based: Swiss Business register of enterprises and establishments (REE)

Sample or census: stratified sample

Criteria for stratification: turnover and activity

Threshold values and percentages: small: 10%; medium: 100%; large: 100%

Frequency of updating the sample: 5 years

18.2. Frequency of data collection

Small and medium enterprises: quarterly collection of monthly data

Big enterprises: monthly collection

18.3. Data collection

Monthly questionnaire for big, quarterly questionnaire for small and medium enterprises, postal and online survey.

 

18.4. Data validation

Data are checked across months and against the samling frame

18.5. Data compilation

Data compilation process:

Treatment of non-response: non-response is treated by weighting

Method for grossing-up: turnover is grossed-up to the 3-digit level of the Nace to calculate a rate of change compared to the same period of the previous year.

Type of index: Laspeyres. The existing index is extended one period at a time by calculating the rate of change in the latest period compared to the same period of the previous year.

Method of weighting and chaining: The index is weighted by the monthly values of the underlying strata.

18.6. Adjustment

The turnover index is deflated using the consumer price index (Landesindex der Konsumentenpreise, LIK).

For seasonal and calendar adjustment X13-ARIMA is used. NACE aggregates are calculated by using the direct method. The calendar adjustment is based on a country-specific calendar and is performed within the RegARIMA part of the program, including regressors for easter effects and leap year.
Models/Filters are selected automatically, if the automatic choice is not considered adequate it is corrected manually; models are fixed for at least one year, parameters are estimated every time a new value becomes available; the whole series is revised every time a new value becomes available.


19. Comment Top

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Related metadata Top


Annexes Top