REVISION OF STATISTICAL DATA
METHODOLOGICAL EXPLANATIONS – REVISION OF STATISTICAL DATA FROM 1 MAY
2010 ON
Purpose of revising
statistical data
Statistical surveys in which
data are revised
The
purpose of data revision is to provide users with quality statistical data.
Statistical data are numerical values
presenting the size of the observed phenomenon. For the sake of simplification,
further on the term “data” is used.
Statistical
information is statistical
signs, comments, tables, charts, figures, definitions, methodological
explanations and other text explaining the content of statistical data.
Published data: Data are published
when they are disseminated to the public via the Internet or in printed form.
The status of data determines whether
the published data are final or provisional and thus subject to revision.
Provisional data are data that will
be subject to planned revision due to the inclusion of a more
complete/additional data source or due to seasonal adjustment and/or
elimination of calendar effects.
Final data are data that will not be subject to any planned revision.
Data revision is a statistical process that changes the value of published data.
This methodological explanation does not describe unplanned data
revisions due to errors (irregularities in published statistical data and
information). Errors are described in the methodological explanation “Correction of errors
in published statistical data and information”.
The Office classifies
data revision in relation to planning, time of implementation and purpose.
(1) Types of data
revisions in relation to planning
a)
Planned data revision
Planned data revision
is subject to the following reasons:
I. Due to the needs of users for timely
information, data are published that meet the criteria of the quality of
official statistical data, but do not meet the quality that can be met with
additional statistical procedures. Final data are based on more complete
answers about the phenomenon and/or analyses and are published later on;
II. Seasonal adjustment and/or elimination of calendar effects;
III. Change in methodology and classifications.
b)
Unplanned data revision
Unplanned data
revision is not part of the regular statistical process. It appears due to
unpredictable changes in the methodology, unpredictable emergence of new and
better data, unpredictable changes regarding reporting units that transmit
their data to the Office, unpredictable obstacles in data processing and
publishing, and errors in data processing and publishing (e.g. a key unit
corrects its data for the past few months, an unpredictable change in the
administrative data source).
(2) Types of data revisions in relation to time of implementation
The reasons for
revising data in relation to time of implementation are:
a)
Regular revisions: inclusion of a more complete/additional data source or a change in the
data source, seasonal adjustment and/or elimination of calendar effects;
b)
Occasional revisions are a consequence of including a new/more complete/additional data
source that becomes the standard in later data releases or a consequence of an
unpredictable obstacle in data processing and publishing, and change in
methodology.
(3) Types of data revisions in relation to the purpose
The reasons for revising data in relation to the
purpose are:
a) Inclusion of a more complete/additional data source or a change in the
data source;
b) Seasonal adjustment and/or elimination of calendar effects;
c) Transition to a new base period;
d) Improvement of methodology due to a change in the statistical method or a
change in classifications, concepts and definitions;
e) Elimination or errors (not errors
in the sense of irregularities in publishing statistical data and information,
the correction of which is regulated by the Guideline for correction of errors
in published statistical data and information at the Statistical Office of the
Republic of Slovenia).
(4) The frequency of
planned data revisions is balanced with the need to provide
quality data and their simple use. Data are revised when newer/more quality
data can significantly contribute to the quality of data-based decision-making
and when due to publication deadlines determined by the European or national
legislation or due to unpredictable obstacles in data processing and
publication less accurate data are published on the basis of incomplete
coverage.
(5) Monitoring of
long-term effect of data revision
To improve the quality, we monitor the long-term effect of data revision
and regularly report about it in Chapter 6 “Coherence” of the Quality Reports.
(6) Informing users
about planned revisions
The planned data revisions due to the change in methodology or
classifications are announced to data users in the methodological note of the
First Release; in case of planned major revisions, users are informed in a different
way.
Any publication of statistical data in collections First Release,
Electronic Release and Rapid Reports contains in the title information about
the status of published data – i.e. whether the data are provisional or final.
In case of final data the last part of the publication title is written with
lowercase letters »- final data« and in the case of provisional data also with
lowercase letters »- provisional data«.
Examples:
Average monthly earnings, detailed data,
Turnover and new orders in industry, detailed
data,
Due to the specific character of national and regional accounts, the
statuses of published data are not marked.
Example:
Gross domestic product, main aggregates of
national accounts and employment,
After the publication of provisional data (may be repeated), final data
are also always published.
Final data are published in the following ways:
When publishing provisional data a First Release, we write in the space
intended for methodological notes when the next provisional data or the final
data will be published.
In the Statistical Yearbook, in Some Important Statistics on
In the SI-STAT database newer versions of data always replace older
ones.
Methodological explanations for individual statistical surveys contain
in the chapter on publishing and data revision notes about the policy of
publishing provisional data with the following elements: type of data revision
in relation to planning, purpose and frequency (time of implementation).
Quality Reports for individual statistical surveys contain, in addition
to information from the previous paragraph, in Chapter 6 “Coherence” also
coherence between provisional and final data and the reasons for eventual major
differences between provisional and final data.
In the SI-STAT database notes under the table contain information until
when data will be provisional and a link to Methodological explanations about
data revision at SORS.
The note reads: »Data for XX are provisional. With each release the data
for all months of the current year can be corrected and supplemented with new
data.« or »Data for the last XX months are provisional. With each release the
data for the last XX months can be corrected and supplemented with new data.«
From 1 January 2012 on statistical surveys:
1
Notification of Birth (DEM-ROJ)
2
Registration of Death (DEM-UMR)
3
Acknowledgement of Paternity and Adoption of Child (DEM-PRIZ)
4
Registration of Marriage (DEM-POR)
5
Registration of Divorce (DEM-RAZ)
6
Registration of Permanent Residence and Departure Notice; Registration
of Change of Address (SEL)
7
Statistical Survey on Hours Worked (ZAP-DELURE/ČL)
8
Monthly Report on Earnings and Persons in Paid Employment in
Enterprises, Companies and Organisations (ZAP/M)
9
Labour Cost Survey (ZAP-SD/4L)
10 Labour Costs – annual estimates (ZAP-SD/L)
11 Labour Cost Index
(ISD/ČL)
12
Structure of Earnings Survey (LPSR 2011)
13 Structure of Earnings Statistics (ZAP-SP/L)
14 Persons in Paid Employment by Amount of Gross
and Net Earnings (ZAP-BNP/L)
15 Monthly
Report on Earnings Paid by Registered Natural Persons (ZAP-RFO-D/M)
16 Statistical Survey Enrolment of Students in
Higher Education Institutions and Vocational Colleges (ŠOL-ŠTUD-PP)
17
Expenditure for
Education
18 Statistical Survey on
Continuing Vocational Training of Employees in Enterprises (ŠOL-ZAP)
19 Adult Education
Survey (AIO)
20 Statistics on Income and Living Conditions
(EU-SILC/L,A)
21 European
System of Integrated Social Protection Statistics
22 Trading of Goods between EU Member States
INTRASTAT
23 Export and Import of Goods (Non-Member
Countries) EXTRASTAT (ZT-IUB/M)
24 Unit Value Indices of Exports and Imports
(ZT-IPVIU/ČL)
25 Annual Statistics on Performance of Enterprises (SSP/L)
26 Annual Statistical
Survey on Industrial Production
(IND/L)
27 Monthly Statistical
Survey on Turnover, New Orders and Value of Stocks in Industry (IND-PN/M)
28 Monthly Statistical
Survey on Construction (GRAD/M)
29 Monthly Questionnaire on
Building Permits (GRAD_GD/M)
30 Monthly Report on
Business and Other Service Activities (STOR/M)
31 Monthly Statistical Survey on Enterprises
Registered in Wholesale and Commission Trade (TRG-D/M)
32 Monthly Statistical Survey on Retail Trade, Motor
Trade and Repair of Motor Vehicles (TRG/Ma, TRG/Mb)
33 Monthly Statistical Survey on Electricity and
Heat Production (E1-EE/M)
34 Monthly Statistical Survey of Autoproducers of Electricity and Heat
(E2-SP/M)
35 Monthly Statistical Survey on Heat Supply (E3-TOP/M)
36 Monthly Statistical Survey on Electricity Transmission (E4-EEP/M)
37 Monthly Statistical Survey on Production and Supply with Crude Oil, Natural Gas, Refinery Feedstocks, Additives and Other Hydrocarbons (E6-NAF/M)
38 Monthly Statistical Survey on
Petroleum Products Production (E7-NP/M)
39 Monthly Statistical
Survey on Petroleum Products Trade
(E8-NPT/M)
40 Monthly Statistical Survey on
Gas Supply (E9-PL/M)
41 Monthly Statistical Survey on
Solid Fuels Trade (E10-TGT/M)
42 Monthly Statistical Survey on Coal Mining
(E11-TG/M)
43 Monthly Statistical Survey on Electricity
Distribution (E5-EED/M)
44 Road Infrastructure (TR-CES-I/L)
45 Monthly Statistical Survey on Tourist
Arrivals and Overnight Stays (TU/M)
46 Business Demography (SPR-DEM/L)
47 Employer Business
Demography and High-Growth Enterprises (SPR-DEM(EBD)/L)
48 Agricultural Census in the
49 Sample Survey of Areas Sown – as of 1 June
(KME - JUN)
50 Census of Horticulture (POPIS-VRT/3L)
51 Animal Production (KME-ŽIV/L)
52 Monitoring Data on Environmental Protection
for Non-Industrial Activities
53 Statistical Survey on Research and
Development Activity in Enterprises and Companies (R-RD-PS)
54 Statistical Survey on Research and
Development Activity of Private Researchers (R-RD-ZR)
55 Statistical Survey on Research and
Development Activity of Institutions (R-RD-JRZ)
56 Statistical Survey on Research and
Development Activity of Higher Education Institutions (R-RD-VŠZ)
57 Statistical Survey on Innovation Activity in
Manufacturing and Selected Service Activities (INOV-P-S)
58 Crop Supply Balance
Sheets (KME-BIL-RAST/L)
59 Animal Supply
Balance Sheets (KME-BIL-ŽIV/L)
60 Real Estate
Register
Tomaž Smrekar
12.
1. 2012