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Building statistical capacity

Statistics Denmark has participated in statistical capacity building in various countries for the past 20 years. We work closely with partner institutions and tailor advice to local needs and conditions while aspiring to international standards., Why statistics are important, A country needs statistics to describe its social, economic and environmental conditions in order to improve the lives and opportunities of its citizens. Statistics thus play an important role in planning, governing and developing societies. Statistics provide the information needed for policy-makers to make evidence-based decisions, for citizens to form opinions and hold government accountable, for businesses to make sound decisions, and for researchers to analyse society., Meeting both national and international needs for statistics, The national statistical institution plays a central role in producing official statistics. The institution must be professional and independent from the political system and have the capacity to produce impartial, relevant, reliable, timely and comparable statistics of high quality. Producing statistics for national needs as well as international monitoring of among others the Sustainable Development Goals are important tasks. This requires a competent and professional national statistical institution which is competently staffed and sufficiently funded., International cooperation, Statistics Denmark has participated in statistical capacity building in various countries for the past 20 years. We work closely with partner institutions and tailor advice to local needs and conditions while aspiring to international standards. The close cooperation with our partner ensures a high degree of ownership for the projects and creates lasting results. Our goal in capacity building is to achieve sustainable change through knowledge transfer and practical advice. Our staff transfers knowledge on the topics they work with on a daily basis. This ensures discussions on an equal level and a mutual understanding between our staff and the staff in the partner institution., Our expertise, We participate in capacity building projects in all aspects of the statistical production from data collection to processing of data to dissemination of statistics to users. We work with social, economic and business statistics. We can also build capacity on issues like quality management, administrative data sources, legislation, IT infrastructure and databases, and coordination of the national statistical system. We have experience from countries in East Europe, Caucasus, the Middle East, Central Asia, South East Asia and Africa., Financing, Our involvement in building statistical capacity is either financed by international institutions like the European Union and the World Bank or by bilateral donors. Our projects are designed in close cooperation with the partner institution and the funding agency to ensure local needs are met. , Read more on building statistical capacity (pdf),  

https://www.dst.dk/en/consulting/building-statistical-capacity

Documentation of statistics: Radio and TV Statistics, Equipment Statistics, Appliances and Distribution (Discontinued)

Contact info, Science, Technology and Culture , Get documentation of statistics as pdf, Radio and TV Statistics, Equipment Statistics, Appliances and Distribution 2016 , Previous versions, Radio and TV Statistics, Equipment Statistics, Appliances and Distribution 2015, Radio and TV Statistics, Equipment Statistics, Appliances and Distribution 2014, Radio and TV Statistics, Equipment Statistics, Appliances and Distribution 2013, These statistics are meant to provide easy, simple access to basic facts on the reception of electronic media in Denmark. For example, they show how many households receive TV via cable, satellite dish or aerial, and the proportion with special reception appliances. , Statistical presentation, Distribution shows statistics for different types of media appliances within the population. , Read more about statistical presentation, Statistical processing, The role of Statistics Denmark with respect to this statistics is solely to assure the quality and communicate information that is selected, collected, processed and disseminated by other producers of statistics/data suppliers. Please refer to the original sources for a detailed review of the statistical processing, Read more about statistical processing, Relevance, The user satisfaction is not examined. These statistics are used by ministries, students and the press., Read more about relevance, Accuracy and reliability, Overall reliability is basically satisfactory. Several equipment statistics tables are based on sources which cover 95-100 pct. of the population. These are the tables based on figures from the Danish energy Agency. Please refer directly to the source for further details concerning overall reliability., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are normally published without delay in relation to the notified date., Read more about timeliness and punctuality, Comparability, As the media industry undergoes rapid development, changes can sometimes occur which affect comparability over time. More modern media appliances are included in the statistics, whilst others are withdrawn. Rapid developments can also take place in internet media, e.g. speeds and connection types. , Read more about comparability, Accessibility and clarity, There are no press releases in connection with this statistic., There are statBank tabels with figures, StatBank, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/radio-and-tv-statistics--equipment-statistics--appliances-and-distribution--discontinued-

Documentation of statistics

Documentation of statistics: Wholesale Trade, by Goods (Discontinued)

Contact info, Business Dynamics , Get documentation of statistics as pdf, Wholesale Trade, by Goods 2013 , Previous versions, Wholesale Trade, by Goods 2008, The purpose of the analysis is to shed light on the turnover structures of wholesale trade. Surveys have been conducted for the first time in 2009 with reference year 2008 ., Statistical presentation, The statistics provide data on the structure of wholesale trade turnover, industry turnover breakdown by product groups as well as product group wholesales by industries., Read more about statistical presentation, Statistical processing, Data are collected by web from 2,000 enterprises from Wholesales Trade sector. In the questionnaire the enterprises are asked to breakdown their turnover by a number of products, services and client categories. The reported data are checked by comparing the distribution of turnover among enterprises that are similar. Survey data is grossed up in part by including information from administrative sources on the VAT turnover in the reference year for the entire population., Read more about statistical processing, Relevance, The results are of interest to those monitoring the current business trends as well as the structural developments within wholesale trade. The statistics is in demand from trade and industry associations, bank and finance sector, politicians, public and private institutions, researchers, enterprises, news media and Eurostat. It is also of great interest to many enterprises within whole trade, as the results may allow them to compare their own business to their sector of trade or the wholesale trade more broadly., Read more about relevance, Accuracy and reliability, The survey is based on a sample and thus some uncertainty is attached to the results. For the whole retail trade sector, however, the uncertainty is considered to be small, since the coverage is extensive and the response rate high. For a few sectors with a relatively higher share of small enterprises, the limit of DKK 2.5 mil. may imply a higher uncertainty due to lower coverage., Read more about accuracy and reliability, Timeliness and punctuality, The statistics is published once every fem years and approximately 11 months after the reference year. The statistics is published usually without delay regarding to the announced date. To EU the data must be delivered within 18 months after the reference year., Read more about timeliness and punctuality, Comparability, It can be problems in comparing figures over time. This is because the data are only collected every five years. The survey has been carried out for the reference periods 2008 and 2013., Read more about comparability, Accessibility and clarity, Nyt, and , STATBANK, from Statistics Denmark., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/wholesale-trade--by-goods--discontinued-

Documentation of statistics

Vietnam 2022-2024

 , Statistics Denmark is implementing the first phase of a Strategic Sector Program in Vietnam financed by the Ministry of Foreign Affairs. Our partner is the General Statistics Office of Viet Nam (GSO). The GSO is an organization under the Ministry of Planning and Investment (MPI) performing the advisory function for the MPI Minister on state management in statistics and providing social and economic information to national and international organizations and individuals. The GSO also plays a key role in monitoring the SDGs., The overall objective, The overall objective of the Strategic Sector Program is to contribute to the development process of the Viet Nam by providing adequate and trustworthy statistics complying with the international standards and trends. , The project plays an important role in the process to informed decision-making by supporting the development of at least four areas:, Modernizing the data collection methods for population and migration statistics so that Viet Nam can improve the quality of demographic statistics and gain more reliable information on the developments m the population, Developing education statistics with the ambition that an education sector will have an informed platform to base daily operations and future development, Introducing Big Data as a new data source in Viet Nam and producing experimental statistics in order to provide more knowledge on the Vietnamese society, Developing the GSO's capacity to develop environmental-economic accounts, hence increase available knowledge on the environmental situation in Viet Nam and improve monitoring and reporting of the environmental-related SDGs., The project is structured around four outcomes and associated outputs:, A. , Foundation for using administrative data for producing population statistics information improved., Output A: Administrative data for compilation population statistics analyzed, B. Quality of education statistics is strengthened by the consistent use of administrative data on education., Output B: Administrative data on education is case studied, C. Big Data is used as a new data source for producing statistics in Viet Nam., Output C: At least one pilot experimental statistics based on Big Data is produced, D. System of environmental-economic accounts is studied, Output D: Environmental-economic accounts are compiled to have more indicators for SDG monitoring indicators are available for SDG monitoring

https://www.dst.dk/en/consulting/projects/ghana-morocco-and-vietnam-2019-2024/vietnam-2022-2024

Documentation of statistics

Each of the statistical products is described in Documentation of statistics., Browse documentation of statistics, People, Labour and income, Economy, Social conditions, Education and research, Business, Transport, Culture and leisure, Environment and energy, Economy, National accounts, Gross Fixed Capital Formation in Housing and Type of Repair (Discontinued), Income and consumption distribution in the household sector (experimental statistics), Multiplier Tables, National Accounts, Financial Accounts, National Accounts: Annual, National Accounts: Employment and Compensation of Employees, National Accounts: Fixed Capital Stock, National Accounts: Household Consumption Expenditure, National Accounts: Input-Output and Supply-Use, National Accounts: Institutional Sectors, National Accounts: Quarterly, Productivity, Quarterly national accounts (Discontinued), Regional Accounts, General government economy, Budgets and accounts of municipalities and regions, Budgets of General Government, Cereal Prices used for Regulation of Land Rents, Corporate Taxation, Educational expenditure (UOE Finance), Financial accounts for general government, Financial assets and liabilities of local government, Financial Assets and Liabilities of Local Government (Discontinued), Government budget allocations for research and development, Government deficit and debt in the EU-countries, Government Finance , Quarterly Accounts (Discontinued), Government Finance Statistics, Health care expenditures (SHA), Key Figures for Municipalities Accounts, Local Government Personal Income Taxation and Church Tax, Municipality Accounts (Discontinued), Municipality and Region accounts (Discontinued), Municipality and Region Budgets (Discontinued), Municipality Budgets (Discontinued), National Accounts: Annual, Overdue Tax (Discontinued), Personal income taxes, Public arrears, Real property taxes, Social protection expenditure, Taxes and Duties (Discontinued), The Budgeted Use of Manpower in Municipalities (Discontinued), The Public Sector Finances, Balance of payments and international trade, Balance of Payments, External Trade of Organic Products, International Trade in Goods, International Trade in Goods by Enterprise Characteristics, International Trade in Services, International Trade in Services by Enterprise Characteristics, Price index, Consumer Price Index, Development in Rents (housing), Harmonized Index of Consumer Prices (HICP), Industrial Production and New Orders Statistics (base year 2000, 1985-2006) (Discontinued), Net Price Index, Producer and Import Price Index for Commodities, Producer Price Index for Services, Purchasing Power Parities (PPP), Consumption, Consumer Expectations Survey, Farm Structure Survey, Home Appliances (Discontinued), Household Budget Survey, Human Consumption of Food (Discontinued), Radio and TV Statistics, Equipment Statistics, Appliances and Distribution (Discontinued), Property, Announcements of forced sales of real property, Rent indices for commercial real estate (Experimental statistics), Rent indices for housing, Sales of housing cooperatives, Sales of real property, Financial markets, Banks and mortgage-credit institutions, Interest and Share Price Indices, Profit and Loss Accounts of Danmarks Nationalbank

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics?subject=3

Ghana and Morocco advance in Open Data

Both countries have made significant strides in enhancing their ODIN scores., 27 May 2025 12:00 , By , Klaus Munch Haagensen, Between 2020 and 2024, both Ghana and Morocco have made significant strides in enhancing their Open Data Inventory (ODIN) scores, reflecting their commitment to data transparency and accessibility. We use ODIN as a supplementary measure to track progress in our Strategic Sector Cooperation projects and to identify new areas to work on. You can read more about our Strategic Sector Cooperation (SSC) projects in Ghana and Morocco here:, Ghana, Morocco, The SSCs are financed by the Danish Ministyry of Foreign Affairs.,  , Facts about ODIN, The Open Data Inventory (ODIN) is developed by Open Data Watch, an international non-profit organization dedicated to improving the availability and openness of official statistics worldwide. ODIN assesses the coverage and openness of official statistics to identify gaps, promote open data policies, and improve access to data. You can read more about ODIN here: , https://odin.opendatawatch.com/,  , Ghana, : ODIN score increased from 39 to 54, elevating its overall global rank from 143, rd, to 107, th, . Significant advancements were observed in data coverage, particularly in economic and environmental statistics. In Ghana the progress is very much related to the launch of the StatsBank -https://statsbank.statsghana.gov.gh/ which has greatly improved access to data from 2023 and onwards. Despite improvements, challenges persist in data coverage, particularly in environmental and health statistics., Morocco, : ODIN score rose from 65 to 77, moving up to the overall rank as 25, th, globally from numer 41, st, . Improvements were most profound in data openness, supported by digital transformation initiatives and enhanced dissemination platforms. While Morocco has advanced in data openness, there is a need to improve the availability of disaggregated data, especially in health, gender and food security and nutrition statistics. Although there has been efforts to improve documentation and metadata, strengthening metadata documentation even more would definitely also enhance data usability., These improvements highlight focused efforts in enhancing data coverage and openness, contributing to better-informed decision-making and governance.

https://www.dst.dk/en/consulting/news-from-international-consulting/2025/27-05-2025-Ghana-and-Morocco-Advance-In-Open-Data

Ghana 2019-2023

 , Statistics Denmark is implementing the first phase of a Strategic Sector Program financed by the Ministry of Foreign Affairs in Ghana. Our partner is the Ghana Statistical Service (GSS) which is the main producer of official Statistics in Ghana., The overall objective of the Strategic Sector Program in Ghana is to lay the foundation for a statistical system that needs fewer surveys, while at the same time having more and higher quality data. To reach this objective the cooperation supports Ghana in:, strengthening the foundation of evidence-based decision making at all levels in Ghana by reinforcing the quality, dissemination and communication of relevantstatistics to users in Ghana andinternational organisations working with Ghana,, boosting the modernisation of the nationalstatistical system in Ghanaby strengthening data and quality management and new data sources in the entire statistical production process, , improving the monitoring and reporting of the UN Sustainable Development Goals in Ghana., The project is structured around seven outcomes and associated outputs:, A. Use of Administrative Data Sources for Statistical Production Increased, Output A1: Analysis of demographic data available in GSS, BDR and NIA, Output A2: Ghana Immigration Service data transferred in second pilot, Value and use of administrative data demonstrated to decision-makers and media, B. Improved IT with focus on data storage and dissemination (databases and databank)., Output B1: IT system setup for pilot data transfer and storage defined, Output B2: Statistical Databank developed and launched, C. Quality and methodology in statistical production are imptoved and harmonised throughout institution., Output C1: Structure and processes for quality principles are formalised and standardized, Output C2: Change towards increased unified methodology mapped and roadmap finalised, D. Accuracy and Coverage of Economic Statistics improved., Output D1: , Consumer Price Index transformed from 10 to 16 r, egions and updated, Output D2: Unit Value Index updated and improved , Output D3: National Accounts Database System introduced, Output D4: Input/Output tables methodology introduced, Output D5: Environmental Accounts/Green GDP methodology introduced, E. Staff trained in general statistical competences, Output E1: , Staff trained in R or Python software, Output E2: Staff trained in Generic Statistical Business Process Model (GSBPM), Output E3: Staff trained in Sampling Technique,  , Watch the video about the Strategic Sector Cooperation in Ghana between Statistics Denmark and Ghana Statistical Service

https://www.dst.dk/en/consulting/projects/ghana-morocco-and-vietnam-2019-2024/ghana-2019-2023

Documentation of statistics: Public libraries (Discontinued)

Contact info, Science, Technology and Culture , Get documentation of statistics as pdf, Public Libraries 2018 , Previous versions, Public Libraries 2016, Public Libraries 2015, Public Libraries 2014, The purpose of the statistics is to disseminate the activity in the area of public libraries in Denmark. The statistics are produced by Statistics Denmark on behalf of the Ministry of Culture. From 2000 and up to and including 2009 the statistics was produced by the Ministry of Culture. . The main information is stock, growth, lending, renewal of loans and interlibrary loans., Statistical presentation, The purpose of the statistics is to disseminate the activity in the area of public libraries in Denmark. The statistics are produced by Statistics Denmark on behalf of the Ministry of Culture. Up to and including 2009 the statistics was produced by the Ministry of Culture., Read more about statistical presentation, Statistical processing, Statistics Denmark process the collected data, them validate and publish them in Statbank a half years after the reference year., Read more about statistical processing, Relevance, The statistics are available for all who are interested in the library business such as politicians, media, students and NGOs. There has been no study of user satisfaction in this statistic. There is regular contact with the Danish Culture authority on the quality and relevance of the statistics. , Read more about relevance, Accuracy and reliability, The statistic includes all public libraries in Denmark. Uncertainty caused by incorrectly reported figures are sought minimized thorough massive inspection of the reported figures., For the reference years 2016 and 2017 will numbers of loans, stock, growth, interlibrary loans and active loaners not be published. This is due to problems caused by the change in administrative IT-systems for the libraries in these years. , Read more about accuracy and reliability, Timeliness and punctuality, Data is collected by Statistics Denmark in the first half of the year immediately following the survey year. Publishing occurs in early July. The total production time is six months. The statistics are published according to the schedule without delay. Due to problems with datacollection is the statistic for reference years 2016 and 2017 delayed. , Read more about timeliness and punctuality, Comparability, Use of standards within the library in Denmark reflects both concrete Danish needs but also the organization of the international standard work. Statistics on public libraries are thus comparable with international statistics to the extent they are based on the same international standards., Read more about comparability, Accessibility and clarity, Publishing is in the following channels:, News from Statistics Denmark http://www.Statbank.dk, Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/public-libraries--discontinued-

Documentation of statistics

Standard multipliers

The multiplier experiments are carried out by changing one or a few of the exogenous variables. Then the model is simulated to calculate the effect on the endogenous variables. There is no provision for possible ties between the exogenous variables. This means that one has to be careful when interpreting the experiments as real world economic events are rarely confined to changes in one exogenous variable., All experiments expand economic activity. In some experiments the effect is temporary and in others the effect is permanent. In general, a demand shock in ADAM like an additional public purchase of goods, affects production and employment in the short run. However, in the long run a demand shock has no effect on employment. In contrast, a supply shock such as an increase in the labor force has a permanent effect on employment. This is in line with most models of a small open economy with a fixed exchange rate and a Phillips curve., There is no monetary reaction function and there is no fiscal reaction function in ADAM, which should be taken into consideration when comparing to models for other countries. Also the specific laws and rules modelled in ADAM (e.g. regulatory mechanisms in taxes and transfers) affect the comparison with other countries., ADAM multipliers - October 2015 (preliminary version), Starting with the October 2015 version, the labour supply multiplier is also calculated with increased export price elasticity in the model., The calculations are made with the model version October 2015 using the baseline lang15., ADAM multipliers - October 2014, The calculations are made with the model version October 2014 using the baseline lang14., ADAM multipliers - June 2014, From the June 2014 version and onwards, all shocks to economic policy instruments have been scaled to represent 0.1 per cent of GDP at constant prices. For multipliers on earlier model versions, the policy shock represented 1000 mill. Dkr. at constant prices., The calculations are made with the model version June 2014 using the baseline lang14., ADAM multipliers - July 2013, The calculations are made with the model version July 2013 using the baseline lang13., ADAM multipliers - October 2012, The calculations are made with the model version October 2012 using the baseline lang13., ADAM multipliers - December 2009, From the December 2009 version and onwards, two multipliers (the public purchase multiplier and the labour supply multiplier) have also been calculated under a budget constraint to illustrate the consequences of a fiscal rule., The calculations are made with the model version December 2009 using the baseline lang11.

https://www.dst.dk/en/Statistik/ADAM/Multiplikatorer/multiplikatorer

Inflation calculator

Compare prices from previously with today and see how the price level has developed over the years.

https://www.dst.dk/en/Statistik/laer-om-statistik/prisberegner