New orders in manufacturing: documentation of statistics
The documentation of the statistics describes how the statistics were compiled and what methods were used in the compilation. The data help interpret the figures of the statistics and evaluate their reliability and comparability. The quality report is based on the EU's SIMS model. The documentation also contains change releases describing changes in the statistics and possible specifying methodological descriptions.
If you are looking for statistical figures for these statistics, go to the statistics page: New orders in manufacturing
Quality report
Data description (SIMS 3.1)
The index of new orders in manufacturing describes development in the value of new orders received by enterprises for commodities and services the production of which takes place in establishments located in Finland. The data are collected from different sources and published monthly.
Sector coverage (SIMS 3.3)
In the statistics on new orders in manufacturing, manufacturing covers 2-digit industries belonging to section C Manufacturing in the Standard Industrial Classification TOL 2008: 17, 20, 21, 24, 25, 26, 27, 28, 29, 30.
The data of the index of new orders in manufacturing are published as industry-specific index series. In addition to the aggregate level Manufacturing (new orders), the published index series are the manufacture of pulp, paper and paper products (17), the chemical industry (20-21) and the metal industry (24-30).
Statistical unit (SIMS 3.5)
The statistical unit of the statistics on new orders in manufacturing is an enterprise or a kind-of-activity unit.
Statistical population (SIMS 3.6)
The statistics on new orders in manufacturing are based on a judicious sample. The population comprises industrial establishments and enterprises engaged in manufacturing activities in Finland belonging to the industries included in the statistics.
Reference area (SIMS 3.7)
The index of new orders in manufacturing is published on the level of the whole country. Only such items whose production has been planned to take place in Finland are recorded in new orders in manufacturing.
Time coverage (SIMS 3.8)
Monthly data on the statistics on new orders in manufacturing are available on the web pages starting from January 2005.
Base period (SIMS 3.9)
The base year of the time series is 2021 (2021=100).
Unit of measure (SIMS 4)
The data on the statistics on new orders in manufacturing are published as index point figures. Change percentages are also calculated based on the indices.
Reference period (SIMS 5)
The reference period for the index of new orders in manufacturing is month. The statistics are published at a lag of 40 days from the end of the statistical reference month.
Classifications (SIMS 3.2)
Statistics use the following classifications:
- Standard Industrial Classification TOL 2008
Concepts and definitions (SIMS 3.4)
Adjustment for seasonal variation
Seasonal adjustment means the estimation of seasonal variation and the elimination of its impact from a time series. The obtained result is a seasonally adjusted time series. The trend of a time series is obtained when both seasonal variation and irregular random variation are eliminated from a time series. Trading or working day adjusted series are in turn obtained when the factors caused by the variation in the number of trading days or weekdays is eliminated from the observation of the original time series. The Tramo/Seats method is used for the seasonal adjustment of time series at Statistics Finland. In the Tramo/Seats method, preadjustment is based on a regression model (which allows for outlying observations, public holidays and the weekday structure) and the seasonal adjustment proper on an ARIMA model constructed for the time series.
Annual change
Annual change is the relative change of the index in comparison with the corresponding time period one year ago (e.g. annual change of total index of consumer prices, i.e. inflation).
Base year
Base year refers to the base point in time of a time series. Mainly years divisible by five are used as a base year but other years can exceptionally be used as a base year. In releases base year is noted, for example, as 2015=100 or 2021=100. The mean for the index point figures of the base year is 100. For example, in monthly indices the index point figures of the months of the base year indicate the breakdown of the examined variable between different months.
Cancelled orders
An order is cancelled, when the producer of a commodity or service considers that a previously made agreement is no longer in force. Cancelled orders are not taken into account ex post in the calculation of the index of new orders.
Delivered orders
The value of commodities and services delivered during one month.
Index
An index is a ratio describing the relative change in a variable (e.g. price, volume or value) compared to a certain base period (e.g. one year). The index point figure for each point in time tells what percentage the given examined variable is of its respective value or volume at the base point in time. The mean of the index point figures for the base period is 100.
Index of new orders
A value index for the commodities and services that are meant to be produced by establishments located in Finland and are either delivered to Finland or exported.
New domestic orders
New domestic orders in manufacturing describe the value of new domestic orders manufacturing enterprises have received during a reference month. Received new orders are regarded as indicative of future output and domestic turnover.
New export orders
New export orders describe the value of new orders received by manufacturing enterprises from export countries during the month. Received new orders are regarded as indicative of future production, turnover and exports.
New orders in manufacturing
New orders in manufacturing describe the value of new orders manufacturing enterprises have receive during a month. Received new orders are regarded as indicators of future production and turnover.
Order
An agreement by which the producer commits to delivering in the future to the customer the agreed commodities or services for the price specified in the agreement.
Order stock
An order stock is the value of undelivered orders of enterprises at the end of the month.
Original series
An index series from which the effects of factors not related to production have not been removed. Non-productional factors include variations in the number of working days per month and fluctuations in production caused by seasonal variation.
Panel calculation
Panel calculation refers to a calculation method that is used to produce certain statistics on economic trends. If there is not enough source data for the latest examined time periods, as a rule the statistical units with comparative data for both the examined month and the corresponding month of the previous year are taken into account in the calculation. Data on this population, or panel, are used to calculate the change with which an index can be calculated for the examined point in time from the index of the corresponding point in time in the year before.
Revision
Revision means added accuracy of data. The accuracy of data can increase due to changes in the data that are used in calculations or to the availability of new data.
Seasonal variation
Seasonal variation is variation in a time series within one year that is repeated more or less regularly. Seasonal variation may be caused by the temperature, rainfall, public holidays, cycles of seasons or holidays.
Trend
Trend describes the long-term development in a time series. A trend series has been adjusted for seasonal and random variations, so that the effects of e.g. weather conditions or short-term labour disputes do not show in it. By contrast, permanent changes, such as growth in demand due to changed taxation, will show in a trend. The direction indicated by the end of a trend should be interpreted with caution. The latter part of a trend indicator may change once it has been updated with data for subsequent months.
Value index
A value index is a measure (ratio) that describes change in a nominal value relative to its value in the base year. The index point figure for each point in time tells what percentage a given value is at that point in time of its respective value at the base point in time. Thus, in monthly statistics the value index point figure for an examined month describes the percentage share of the value of that month of the average monthly value for the base year.
Institutional mandate (SIMS 6)
The compilation of statistics is guided by the Statistics Act. The Statistics Act contains provisions on collection of data, processing of data and the obligation to provide data. Besides the Statistics Act, the General Data Protection Regulation, the Data Protection Act and the Act on the Openness of Government Activities are applied to processing of data when producing statistics.
Statistics Finland compiles statistics in line with the EU’s regulations applicable to statistics, which steer the statistical agencies of all EU Member States.
Further information: Statistical legislation
Legal acts and other agreements (SIMS 6.1)
The compilation of the index of new orders in manufacturing is guided by national legislation. On the national level, the production of the statistics is governed by the Statistics Act (280/2004).
The Statistics Act contains provisions on collection of data, processing of data, confidentiality of data and the obligation to provide data. In addition, the data protection legislation and the Act on the Openness of Government Activities (621/1999) are applied to the processing of data.
Data sharing (SIMS 6.2)
The data of the index of new orders in manufacturing are published monthly for national use.
Cost and burden (SIMS 16)
A total of 105 working days were spent in 2025 on producing the index of new orders in manufacturing. The labour input comprises the collection, processing, analysis and publication of data.
The response burden of the statistics was assessed with an inquiry on response burden in 2018. According to the inquiry, the average response time for the inquiry was 29 minutes.
Source data (SIMS 18.1)
The enterprises included in the sample are asked monthly about the value of new orders in Statistics Finland's own inquiry on new orders in manufacturing.
Frequency of data collection (SIMS 18.2)
The data of the index of new orders in manufacturing are collected monthly.
Data collection (SIMS 18.3)
Data for Statistics Finland's own data collection are gathered with a web questionnaire. The web questionnaire of the index of new orders in manufacturing has been tested in connection with its introduction and when changes have been made to it. In addition, the non-response rate of the inquiry is monitored monthly.
Data validation (SIMS 18.4)
The data are checked at the enterprise level by examining the values of new orders for all enterprises included in the sample for the month to be calculated. The value of the enterprise's calculated month is compared with the previous values of the time series. In addition, all enterprise reorganisations and enterprise closures are examined. The data are also compared with the data of other statistics in the statistical description area, such as the index of turnover in industry and the volume index of industrial output. Erroneous data detected in the data are corrected or their impact is eliminated.
Data compilation (SIMS 18.5)
The calculation is based on estimation of change. Sums by industry are calculated at the 2-digit level with data on the enterprises for which comparable data are available for both the examined month and the corresponding month of the previous year. The obtained sums are used to calculate annual changes by industry. These annual changes are used to raise the index of new orders for the corresponding month of the year before. The calculation of annual changes also allows for enterprise reorganisations and for changes of industries. Indices for aggregated levels of the classification are obtained by weighting the indices at the 2-digit level of the industrial classification. Estimates of the values of the entire population’s new orders at the 2-digit level are used as weights.
The weight structure of published industries is available in the documentation section of the statistics.
Seasonal adjustment (SIMS 18.6.1)
Seasonal adjustment is a statistical method used to process time series. The method is used to remove variation occurring fairly regularly within a year from the data. The Tramo/Seats method and JDemetra+ software are used in the statistics. In addition, seasonal adjustment is based on the ESS Guidelines on Seasonal Adjustment.
Seasonal variation is often caused by an occurrence not attributable to enterprises, such as variation in weather conditions and seasons, and people's modes of action. More detailed information about seasonal variation in time series and the method used for seasonal adjustment can be found in the report on Seasonal adjustment with the Tramo/Seats method.
User needs (SIMS 12.1)
The data of the statistics are used to monitor and analyse the development of business services. Public administrations, business and research institutes use the data to assess the development of markets and competitors.
Overall accuracy (SIMS 13.1)
The data on the statistics on new orders in manufacturing become revised in later releases. The main reasons for data revisions are supplementations or corrections to the data retrospectively and updating of the weight structure. In addition, seasonally adjusted series and trend series may change even if no changes took place in the original series. The models used in seasonal adjustment are updated once a year, when revisions can be larger than usual.
Quality assurance (SIMS 11.1)
Quality management requires comprehensive guidance of activities. The European Statistics Code of Practice forms the basis for the common quality system of the European Statistical System.
The Code of Practice is based on 16 principles that concern statistical authorities' independence, accountability and the quality of the processes and data to be published.
The principles are in line with the Fundamental Principles of Official Statistics approved by the United Nations Statistics Commission and are supplementary to them. The quality criteria of Official Statistics of Finland are compatible with the European Statistics Code of Practice.
Further information: European Statistics Code of Practice | Statistics Finland and Recommendations of the Advisory Board of Official Statistics of Finland | Statistics Finland
Quality assessment (SIMS 11.2)
The quality of the statistics on new orders in manufacturing is evaluated in several different stages of the statistical process. Revisions to the unit-level data of the statistics are examined monthly and coherence analyses are made with other statistics on economic trends.
Data revision - policy (SIMS 17.1)
Revisions to published statistical data are part of normal statistics production. A revision usually means improvements in the quality of the available data or a significant methodological change where the time series is also revised retrospectively.
Statistical data usually become revised due to supplementation of the data. Then the new, revised statistical figure is based on a wider data basis.
Revisions of statistical data may also be caused by the calculation method used, such as annual benchmarking or updating of weight structures. The data may also become revised due to changes in the base year and classifications. Major revisions in national accounts are made when updating the manuals of national accounts.
The description must also reveal the magnitude of the revisions, as well as for how long the data will be subject to revisions after their initial release and whether certain data are subject to larger revisions than others.
If the data of the statistics are revised substantially more than usual, the reasons for it are separately explained in the release.
Data revision - practice (SIMS 17.2)
The data of the index of new orders in manufacturing are revised as the data become supplemented. The revisions are mainly due to the data being supplemented over time and to enterprises being able to revise previously reported data for one year. The indices of the statistics are recalculated at each release. The size and development of revisions between different releases are monitored regularly.
Timeliness (SIMS 14.1)
The data on the statistics on new orders in manufacturing are published at a lag of 40 days.
Punctuality (SIMS 14.2)
The data are published on the days indicated in the release calendar.
Comparability - over time (SIMS 15.2)
The statistics on new orders in manufacturing have been produced monthly since 2005. Efforts have been made to make the data as temporally comparable as possible. However, changes have taken place over time in the calculation method of the statistics and the source data used, so the data cannot be considered fully comparable over time.
Coherence – cross domain (SIMS 15.3)
Business statistics produced by Statistics Finland can be divided into structural statistics and business trend statistics. The differences in the statistics are caused by their length of the description period, publication delay and the extent of the data content so that the description period and release delay of business trend statistics are shorter and their data content more limited than in the structural statistics. Structural business statistics include structural business and financial statement statistics that describe the structure and activities of enterprises on the annual level. Business trend statistics include monthly trend indicators. Annual statistics are cross-sectional data on business activities in the year in question. By contrast, business trend data have been made temporally comparable as concerns enterprise reorganisations and industry transfers so that the indicators describe changes in each industry.
Coherence - sub-annual and annual statistics (SIMS 15.3.1)
Only monthly data are published on the index of new orders in manufacturing.
Coherence - internal (SIMS 15.4)
The statistics on new orders in manufacturing belong to statistics on economic trends that describe short-term development in various factors and areas of the economy. The data of the statistics cannot be fully compared with other indicators of output in manufacturing because the industry coverage is different.
There are also differences in the calculation methods of the indices. The over-the-year method is used in the calculation of the index of new orders in manufacturing, where each month is compared with the corresponding month of the previous year. The annual overlap method is used in the calculation of the volume index of industrial output, where each month is compared to the previous year's average.
Release calendar (SIMS 8.1)
Statistics Finland publishes new statistical data at 8 am on weekdays in its web service. The release times of statistics are given in advance in the release calendar available in the web service. The data become public after they have been updated in the web service.
Further information: Publication principles for statistics at Statistics Finland
Release calendar access (SIMS 8.2)
User access (SIMS 8.3)
The data are released to all users at the same time. Statistical data may be processed at Statistics Finland and information on them may be given before release only by persons involved in the production of the statistics concerned or who need the data of the statistics concerned in their own work before the data are published.
Further information: Publication principles for statistics
Unless otherwise specifically stated in connection with the product, data or service concerned, Statistics Finland is the producer and copyright owner of the data. The terms of use for statistical data.
Frequency of dissemination (SIMS 9)
The data of the statistics are published monthly on Statistics Finland's website.
News release (SIMS 10.1)
The release is published monthly on the home page of the statistics.
Online database (SIMS 10.3)
The database tables of the statistics can be found in the StatFin database.
Micro-data access (SIMS 10.4)
Unit-level data of the statistics are used only for producing the statistics and others than producers of statistics do not have access to them.
Confidentiality - policy (SIMS 7.1)
The data protection of data collected for statistical purposes is guaranteed. The compilation of statistics is guided by the Statistics Act. Alongside the Statistics Act, the EU’s General Data Protection Regulation and the Finnish Data Protection Act are applied to the processing of personal data. Provisions on the confidentiality of data collected for statistical purposes are laid down in the Act on the Openness of Government Activities.
The data are processed only by persons who need the data in their work. The use of data is restricted by usage rights. All persons employed by Statistics Finland have signed a pledge of secrecy, where they have obliged to keep secret the data prescribed as confidential by virtue of the Statistics Act or the Act on the Openness of Government Activities.
Further information: Data protection | Statistics Finland (stat.fi)
Confidentiality - data treatment (SIMS 7.2)
The publication of the statistics on new orders in manufacturing does not include unit-level data. Industries 20, 21, 24, 25, 26, 27, 28, 29 and 30 are not published separately because they contain dominant enterprises. They are published as combined industries and they are included in the figures for the aggregate level 17, 20-21, 24-30 Manufacturing (new orders).