Bankruptcies; enterprises, SIC 2008Figures
Pronounced bankruptcies Type of bankruptcy, sector/branches (SIC 2008)
International trade; import and export value, SITC (3 digits), countriesFigures
Import, export value and trade balance of goods; SITC (3 digits) and countries.
Corporate data; turnover developments (growing and declining ), SIC 2008Figures
Businesses with a growth or decline in turnover Business activity and business size
Caribbean Netherlands; Aviation, monthly airport dataFigures
Number of aircraft movements, passenger arrivals, passengers departures, Caribbean Netherlands airports (Bonaire, St. Eustatius, Saba)
GDP, output and expenditures; changes, Quarterly National AccountsFigures
Production, expenditures, income and external economic transactions. Value, volume and price changes
GDP, output and expenditures; value, Quarterly National AccountsFigures
Production, expenditures, income and external economic transactions. Values at current prices and chainlinked volume 2015 prices
Business survey Netherlands, quarterly, seasonally adjustedFigures
Business Survey Netherlands, production, turnover, profitability Economic climate, workforce, sector/branches, seasonally adjusted
Sector accounts; seasonally adjusted data, National AccountsFigures
Transactions and balancing items of economic sectors Non seasonally adjusted and seasonally adjusted figures
Sensor Data Challenge 2021: experimenting with smart sensorsArticles
The third Sensor Data Challenge took place on 22 and 23 April 2021.
Inferring network traffic from sensors without a sampling designOther
The use of non-probability data as a primary data source in official statistics is currently an active field of research.
The need for timely official statisticsPublications
This paper discusses how Statistics Netherlands managed to respond quickly with a range of new outputs following the outbreak of the covid-19 pandemic. First, it describes the innovation process and the innovations in response to the pandemic. Then it discusses success factors and draws lessons for the future.
Unique collaboration for big data researchOther
Description of activities of Center for Big Data Statistics
Innovating statistics with data challengesArticles
The end of last year saw the second edition of the Big Data Meets Survey Science conference online: the BigSurv20.
Composition development in goods exports: flow characteristicsFigures
Export growth and Contribution to total export growth Transaction; SITC and Countries
Extracting data on road network transportation from sensor data without sample designOther
Big data has received increasing attention across several disciplines in recent years. In official statistics, big data potentially enables us to produce statistics cheaper, faster, and on a higher level of detail
Health, lifestyle, health care use and supply, causes of death; from 1900Figures
Health status, lifestyle, use of health care services, care supply, (healthy) life expectancy and causes of death
Correcting survey measurement with road sensor dataOther
Time-based diary surveys collect data over specified time intervals and impose a heavy response burden.
CBS and Utrecht University start innovative survey networkOther
The research focuses primarily on surveys using mobile devices
Sensor data improves flash estimate for inland shippingOther
Innovative research has been carried out to see whether data from Rijkswaterstaat’s Information and Safety System (IVS) can be used to improve the added value and production value of inland shipping in the Netherlands.
Expansion of maritime statistics: sea routes and cargoOther
Expansion of maritime statistics: sea routes and cargo
Manual retail price observations discontinuedArticles
Manual retail price observations discontinued
Stops and track detection in travel surveysArticles
Travel surveys with apps focus on reduction of respondent burden.
Automatic travel mode predictionArticles
App-assisted travel surveys use location and motion sensors to measure location and to predict means of transportation. This discussion paper describes the machine learning techniques to translate sensor data to transport mode predictions.