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For any question on data and metadata, please contact: EUROPEAN STATISTICAL DATA SUPPORT |
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1.1. Contact organisation | Swiss Federal Statistical Office (FSO) |
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1.2. Contact organisation unit | Short Term inquiries (KE) |
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1.5. Contact mail address | Swiss Federal Statistical Office |
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2.1. Metadata last certified | 23/03/2021 | ||
2.2. Metadata last posted | 23/03/2021 | ||
2.3. Metadata last update | 23/03/2021 |
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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. |
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3.2. Classification system | |||
NACE Rev. 2 |
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3.3. Coverage - sector | |||
Activities covered: Division 47 Size classes covered: enterprises with more than 2 employees |
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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. |
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3.5. Statistical unit | |||
Reporting unit: Enterprise Observation unit: Enterprise |
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3.6. Statistical population | |||
All active enterprises in division 47 of NACE Rev. 2. with more than 2 employees. |
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3.7. Reference area | |||
Switzerland |
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3.8. Coverage - Time | |||
From January 2000 |
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3.9. Base period | |||
2015=100 |
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Indices |
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Month |
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6.1. Institutional Mandate - legal acts and other agreements | |||
Legal basis: Federal Law on Statistics of 9 October 1992 Bilateral agreement with the European Union |
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6.2. Institutional Mandate - data sharing | |||
Eurostat, Swiss National Bank (SNB), State Secretariat for Economic Affairs (SECO) |
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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. |
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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. |
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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). |
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8.2. Release calendar access | |||
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 |
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Monthly |
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10.1. Dissemination format - News release | |||
Standardised monthly news release by the FSO covering turnover in retail trade |
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10.2. Dissemination format - Publications | |||
no publication available |
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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. |
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10.4. Dissemination format - microdata access | |||
No microdata access in conformity with the Federal Law on Data Protection (06/19/92). |
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10.5. Dissemination format - other | |||
Data sent to Eurostat |
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10.6. Documentation on methodology | |||
not available |
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10.7. Quality management - documentation | |||
not available |
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11.1. Quality assurance | |||
Code of Practice: https://www.bfs.admin.ch/bfs/en/home/fso/quality-commitment.html |
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11.2. Quality management - assessment | |||
Fulfilled according to international regulations. |
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12.1. Relevance - User Needs | |||
The data is used by the Swiss National Bank, the State Secretariat for Economic Affairs and many other users |
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12.2. Relevance - User Satisfaction | |||
not available |
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12.3. Completeness | |||
all required time series are available |
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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. |
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13.2. Sampling error | |||
The sample method is stratified random sampling. The coefficient of variance is less than 5%. |
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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 2020): 45%, representing less than 10% of target variable (turnover) of the sample frame. Item nonresponse: 0% |
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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. |
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14.2. Punctuality | |||
Deadlines are respected and data are published on time. |
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15.1. Comparability - geographical | |||
In line with ESS/international concepts and definitions. |
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15.2. Comparability - over time | |||
Comparable monthly time series since january 2000. |
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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. |
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15.4. Coherence - internal | |||
The internal coherence is assured. |
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Global cost estimation for the FSO is about 3.5 full-time equivalent. Burden estimates for respondents is on average 30 minutes per form. |
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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. |
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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 2018 - Dec 2020): Growth rates for real calendar adjusted data (YoY): Growth rates for real seasonally adjusted data (MoM): |
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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 |
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18.2. Frequency of data collection | |||
Small and medium enterprises: quarterly collection of monthly data Big enterprises: monthly collection |
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18.3. Data collection | |||
Monthly questionnaire for big, quarterly questionnaire for small and medium enterprises, postal and online survey.
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18.4. Data validation | |||
Data are checked across months and against the samling frame |
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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. |
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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. |
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no comment |
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