{"id":26271,"date":"2021-09-08T13:08:22","date_gmt":"2021-09-08T10:08:22","guid":{"rendered":"https:\/\/www.pohjois-pohjanmaa.fi\/?page_id=26271"},"modified":"2024-08-28T12:19:39","modified_gmt":"2024-08-28T09:19:39","slug":"suhdanne","status":"publish","type":"page","link":"https:\/\/www.pohjois-pohjanmaa.fi\/en\/kehittaminen\/ennakointi-ja-tilastotieto\/suhdanne\/","title":{"rendered":"Cyclical monitoring"},"content":{"rendered":"<p class=\"wp-block-paragraph\">Cyclical monitoring indicates the situation of clusters in cooperation in cooperation with a short delay. The purpose of the cyclical data published twice a year for Northern Ostrobothnia is to provide the region in cooperation in cooperation with a snapshot of the situation through the development of cluster turnover and number of employees. \u00a0<br><br>To enlarge the report, press the arrow button \"Open in full screen mode\" on the right side of the gray Microsoft Power BI lower bar, or open the chart in a new window using the \"Open Report\" button above the chart. <\/p>\n\n\n\n<!DOCTYPE html>\n<html lang=\"fi\">\n<head>\n    <meta charset=\"UTF-8\">\n    <meta name=\"viewport\" content=\"width=device-width, initial-scale=1.0\">\n    <title>Power BI Report<\/title>\n<\/head>\n<body>\n    <!-- HTML-painike raportin avautumiseksi uudessa ikkunassa -->\n    <button id=\"openButton\" onclick=\"openReport()\">Open report<\/button>\n\n    <!-- JavaScript-koodi raportin avaamiseksi -->\n    <script>\n        function openReport() {\n            \/\/ Haetaan raportin URL\n            var reportUrl = document.getElementById('reportFrame').src;\n\n            \/\/ Avataan raportti uudessa ikkunassa\n            window.open(reportUrl, '_blank');\n        }\n    <\/script>\n\n    <!-- Upotettu Power BI -raportti iframe-elementin avulla -->\n    <iframe loading=\"lazy\" id=\"reportFrame\" title=\"Cyclical\" width=\"800\" height=\"600\" src=\"https:\/\/app.powerbi.com\/view?r=eyJrIjoiZjZhNWY1MTUtMzQzNS00NmZmLWI0OTItNmEyNmI3ODNiM2NjIiwidCI6ImI1M2E2MDQxLWVmOGQtNDliZC04ZTE1LTE2Mzk0NzcxZjcwNCIsImMiOjh9\" frameborder=\"0\" allowfullscreen=\"true\"><\/iframe>\n\n<\/body>\n<\/html>\n\n\n\n<h2 class=\"wp-block-heading\"><br>Cyclical publications (will not be published in 2021) <strong>(After)<\/strong><\/h2>\n\n\n\n<p class=\"wp-block-paragraph\"><a href=\"https:\/\/www.pohjois-pohjanmaa.fi\/wp-content\/uploads\/2022\/04\/Suhdannetiedot_joulukuulle_2021.pdf\">Trend data for Northern Ostrobothnia until December 2021<\/a><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><a href=\"https:\/\/www.pohjois-pohjanmaa.fi\/wp-content\/uploads\/2022\/04\/Suhdannetiedot_toukokuulle_2021.pdf\">Trend data for Northern Ostrobothnia until May 2021<\/a><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><a href=\"https:\/\/www.pohjois-pohjanmaa.fi\/wp-content\/uploads\/2021\/04\/Suhdannetiedot_joulukuulle_2020.pdf\">Trend data for Northern Ostrobothnia until December 2020<\/a> <\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><a href=\"https:\/\/pohjois-pohjanmaa.fi\/wp-content\/uploads\/2020\/09\/Suhdannetiedot_toukokuulle_2020.pdf\">Trend data for Northern Ostrobothnia until May 2020<\/a><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><a href=\"https:\/\/pohjois-pohjanmaa.fi\/wp-content\/uploads\/2020\/09\/Suhdannetiedot_joulukuulle_2019.pdf\">Trend data for Northern Ostrobothnia until December 2019<\/a><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><a href=\"https:\/\/pohjois-pohjanmaa.fi\/wp-content\/uploads\/2020\/09\/Suhdannetiedot_toukokuulle_2019.pdf\">Trend data for Northern Ostrobothnia up to May 2019<\/a><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><a href=\"https:\/\/pohjois-pohjanmaa.fi\/wp-content\/uploads\/2020\/09\/Suhdannetiedot_joulukuulle_2018.pdf\">Trend data for Northern Ostrobothnia until December 2018<\/a><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><a href=\"https:\/\/pohjois-pohjanmaa.fi\/wp-content\/uploads\/2020\/09\/Suhdannetiedot_toukokuulle_2018.pdf\">Trend data for Northern Ostrobothnia until May 2018<\/a><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><a href=\"https:\/\/pohjois-pohjanmaa.fi\/wp-content\/uploads\/2020\/09\/Suhdannetiedot_joulukuulle_2017.pdf\">Trend data for Northern Ostrobothnia until December 2017<\/a><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><a href=\"https:\/\/pohjois-pohjanmaa.fi\/wp-content\/uploads\/2020\/09\/Suhdannetiedot_toukokuulle_2017.pdf\">Trend data for Northern Ostrobothnia until May 2017<\/a><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><a href=\"https:\/\/pohjois-pohjanmaa.fi\/wp-content\/uploads\/2020\/09\/Suhdannetiedot_joulukuulle_2016.pdf\">Trend data for Northern Ostrobothnia up to December 2016<\/a><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><a href=\"https:\/\/pohjois-pohjanmaa.fi\/wp-content\/uploads\/2020\/09\/Suhdannetiedot_toukokuulle_2016.pdf\">Trend data for Northern Ostrobothnia up to May 2016<\/a><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><a href=\"https:\/\/pohjois-pohjanmaa.fi\/wp-content\/uploads\/2020\/09\/Suhdannetiedot_joulukuulle_2015.pdf\">Trend data for Northern Ostrobothnia up to December 2015<\/a><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><a href=\"https:\/\/pohjois-pohjanmaa.fi\/wp-content\/uploads\/2020\/09\/Suhdannetiedot_toukokuulle_2015.pdf\">Trend data for Northern Ostrobothnia up to May 2015<\/a><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><a href=\"https:\/\/pohjois-pohjanmaa.fi\/wp-content\/uploads\/2020\/09\/Suhdannetiedot_joulukuulle_2014.pdf\">Trend data for Northern Ostrobothnia until December 2014<\/a><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><a href=\"https:\/\/pohjois-pohjanmaa.fi\/wp-content\/uploads\/2020\/09\/Suhdannetiedot_toukokuulle_2014.pdf\">Trend data for Northern Ostrobothnia up to May 2014<\/a><\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Concepts<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>The original series<\/strong>&nbsp;includes all monthly variations in the industry.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Seasonally adjusted series<\/strong>&nbsp;Systematic variation in cooperation in cooperation within the year has been eliminated. Seasonal fluctuation is often caused by some non-economic phenomenon, such as changes in weather conditions and seasons, and people's ways of working.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Trend series<\/strong>&nbsp;describes the direction of development in the longer term. When interpreting the downstream part of a trend, it is a good idea to exercise caution, as the latter part of the trend graph often changes after updating future monthly data. Alongside the trend, it is also worth studying the behavior of the original index. The trend graph is also well suited for comparing different industries and regions.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Change percentages<\/strong>&nbsp;calculated from the original index series and comparing the development of the period under consideration in cooperation in cooperation with the corresponding period of the previous year. The quarterly, half-yearly and year-on-year change percentages are calculated by comparing the sum of the index point figures for the desired period of the original index series in cooperation in cooperation with the corresponding sum of the previous year. Turnover is calculated net of VAT. The turnover to be described may include some non-turnover items in the profit and loss account, such as sales of fixed assets, other income, extraordinary items, purchases in cooperation in cooperation with inverse tax liability, own use of products and sale of agencies. Exceptional items are removed from the calculation.&nbsp;<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Number of staff<\/strong>-indicator refers to the number of full-time employed persons in enterprises during a calendar month. Two half-time employees are equivalent to one full-time employee. The personnel volume indicator is produced on the basis of the personnel volume data of the enterprise register two years ago and the salary sum development adjusted for changes in the level of earnings. The number of employees of self-employed persons is estimated on the basis of the development of turnover. For enterprises that do not have personnel data from two years ago, the number of employees is calculated by dividing the wages and salaries sum of the enterprise by the average wages and salaries of the industry.&nbsp;<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Turnover<\/strong>\u00a0Calculated in cooperation in cooperation without VAT. The turnover of the OAV data may include some non-turnover items in the profit and loss account, such as sales of fixed assets, other income, extraordinary items, purchases in cooperation in cooperation with inverse tax liability, own use of products and sales of agencies. Exceptional items are removed from the calculation of the index.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Export data<\/strong>&nbsp;They are part of the turnover. Exports consist of non-taxable turnover, intra-EU exports and extra-EU exports. Exports are distributed to the region on the basis of the share of the turnover of the establishment located in the region of the company. The export turnover highlights the importance of the location of the head office, as the head office's turnover is usually higher.&nbsp;<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Structural data<\/strong> include the number of enterprises and establishments included in the assignment, the annual absolute number of turnover, exports or wages and salaries sum in euros, depending on the variable to be described, or the total annual number of employees. Structural data are produced for the most recent publication year of Statistics Finland's statistics on the structure and financial statements of enterprises. The business register is also used as the source of personnel figures and turnover data in euros.\u00a0<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Sources<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">The data source for the business cycle publication for clusters is Statistics Finland's customer-specific business cycle service. The monthly indices of the business cycle service measure the change in the variable under review relative to the level of the base year. The base year is 2021 (2021=100). The source material of the statistics is the Tax Administration's self-assessed tax data (OAV data), in addition to which Statistics Finland's direct data collection and annual statistics are used.\u00a0The calculation of the indices is based on change estimation and the so-called panel method is used in the calculation. The method compares the comparable observations of the month under review and the corresponding month of the previous year by taking into account, among other things, mergers and acquisitions and changes in reporting practices related to accounting. The data also covers start-ups and closures.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The data will be revised through future publications due to, for example, changes in the data available for calculation or new information received. For the latest month, the coverage of the Tax Administration's OAV data, measured by turnover, is approximately 95-98 per cent. The OAV data is collected for a period of 12 months, during which time companies can also report changes to the data they have previously reported. The annual data of the Business Register are also updated in cooperation in cooperation with a delay of 2-12 months from the end of the period under review. Mergers and acquisitions, changes in the location structure of enterprises, changes in industries and start-ups and closures also cause revisions to the data.<\/p>","protected":false},"excerpt":{"rendered":"<p>Cyclical monitoring indicates the situation of clusters in cooperation in cooperation with a short delay. The purpose of the cyclical data published twice a year for Northern Ostrobothnia is to provide the region in cooperation in cooperation with a snapshot of the situation through the development of cluster turnover and number of employees. \u00a0 To enlarge the report, press the arrow button \"Open in full screen mode\" on the right side of the gray Microsoft Power BI lower bar, or open the chart in a new window using the \"Open Report\" button above the chart. Power BI Report Open report Business cycle publications (not published after 2021) Business cycle data for Northern Ostrobothnia until December 2021 Business cycle data for Northern Ostrobothnia until May 2021 Business cycle data for Northern Ostrobothnia until December 2020 Business cycle data for Northern Ostrobothnia until May 2020 Business cycle data for Northern Ostrobothnia until December 2019 Business cycle data for Northern Ostrobothnia until May 2019 Business cycle data for Northern Ostrobothnia until December 2018 Business cycle data for Northern Ostrobothnia until May 2018 Business cycle data for Northern Ostrobothnia until December 2017 Business cycle data for Northern Ostrobothnia until December 2016 Business cycle data for Northern Ostrobothnia until May 2016 Business cycle data for Northern Ostrobothnia until December 2015 Business cycle data for Northern Ostrobothnia until December 2014 Business cycle data for Northern Ostrobothnia until May 2014 Concepts The original series includes all monthly fluctuations in the industry. [\u2026]<\/p>","protected":false},"author":46,"featured_media":0,"parent":6403,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"om_disable_all_campaigns":false,"_monsterinsights_skip_tracking":false,"_uf_show_specific_survey":0,"_uf_disable_surveys":false,"footnotes":""},"class_list":["post-26271","page","type-page","status-publish","hentry"],"acf":{"alternative-title":"","color_layout":true},"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.4 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Suhdanneseuranta - Pohjois-Pohjanmaan liitto<\/title>\n<meta name=\"description\" content=\"Suhdanneseuranta kertoo klustereiden tilanteen lyhyell\u00e4 viiveell\u00e4. 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