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Documentation of statistics: Interest and Share Price Indices

Contact info, Government Finances , Jesper Søgaard Dreesen , +45 51 64 92 61 , JSD@dst.dk , Get documentation of statistics as pdf, Interest and Share Price Indices 2024 , Previous versions, Interest and Share Price Indices 2023, Interest and Share Price Indices 2022, Interest and Share Price Indices 2021, Interest and Share Price Indices 2020, Interest and Share Price Indices 2019, Interest and Share Price Indices 2018, Interest and Share Price Indices 2017, The purpose of these statistics is to illustrate developments in interest rates and share indices in the financial markets. These statistics are intended for analysis purposes. The daily updates can be found at Nasdaq OMX Nordic or other media covering this financial area., Statistical presentation, The selected information includes for example a selection of money market interest rates, effective rate on leading bonds and share price indices., Read more about statistical presentation, Statistical processing, The primary statistical data are not stored by Statistics Denmark but by the individual producers of the statistics., Read more about statistical processing, Relevance, The primary users are public authorities, private business sector and interested citizens., Read more about relevance, Accuracy and reliability, The figures originate directly from observations in the financial markets. The published figures are therefore not based on calculations and no estimations are made. The statistics show the actual historical values in the markets and are not revised later. For further information please refer to the authorities that collect the basic information., Read more about accuracy and reliability, Timeliness and punctuality, The publication time of these statistics is 20 to 45 days after the reference period expires depending on the time series. These statistics is usually published without delay in relation to the scheduled date., Read more about timeliness and punctuality, Comparability, There are generally high comparability over time, there may be some problems of comparability for some time series statistics. For comparisons across countries should be obtained from the concerned authority collecting basic information., Read more about comparability, Accessibility and clarity, Data can be found in the following tables in the StatBank: , Danmarks Nationalbanks official interest rates, inter-bank interest rate and average bond, , , Share index, , , The bank's average deposit and lending interest rates, , , Effective rate on bonds, and , Government bond yields by country, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/interest-and-share-price-indices

Documentation of statistics

Documentation of statistics: Research and development in the public sector

Contact info, Science, Technology and Culture, Business Statistics , Mille Wilhjelm Poulsen , +45 40 18 78 40 , MWP@dst.dk , Get documentation of statistics as pdf, Research and development in the public sector 2024 , Previous versions, Research and development in the public sector 2023, Research and development in the public sector 2022, Research and development in the public sector 2021, Research and development in the public sector 2020, Research and development in the public sector 2019, Research and development in the public sector 2018, Research and development in the public sector 2017, Research and development in the public sector 2016, Research and development in the public sector 2015, Statistics on Research and Development – Public sector 2014, Statistics on Research and Development – Public Sector 2013, Statistics on Research and Development – Public sector 2012, The purpose of the statistics on Research and Development in the public sector is to illustrate the extent of R&D activities carried out within the public sector. The statistics are used, among other things, to assess the share of GDP devoted to research and development. The survey is conducted according to the OECD guidelines for research and development (R&D) statistics, as set out in the Frascati Manual. The statistics have been produced since 1997, but are comparable in their current form from 2007 onwards., Statistical presentation, The statistics provide an annual account of R&D in the public sector, showing both expenditure (in millions of kroner) and personnel (in numbers and full-time equivalents). The data are distributed by main sectors, types of expenditure, scientific fields, and type of research., Read more about statistical presentation, Statistical processing, The statistics are based on questionnaires and are collected annually from approximately 650 public and private non-profit units, which together are assumed to carry out all significant R&D in the public sector. The reported data undergo extensive validation, focusing on a number of high-priority variables, particularly R&D expenditure and R&D full-time equivalents. Validation is performed at both the macro and micro level., Read more about statistical processing, Relevance, There is a general political objective of increasing the share of GDP, which is applied for research and development, and in the light of this objective, there is great interest in compiling statistics on research and development. The main users are Ministries, public authorities, business organisations, researchers, private business enterprises and the media. In addition, the European Commission (The statistical office Eurostat) and the OECD are important users. Data are available for purposes of research., Read more about relevance, Accuracy and reliability, They are based on a complete census, of the expected research-active institutions, of approximately 650 public institutions, with a response rate close to 100 percent. The large dataset undergoes extensive validation, and except for a single question, the extent of imputation for missing values is relatively limited. Imputation may, for example, involve inserting calculated values from other institutions’ reports in place of missing information., Read more about accuracy and reliability, Timeliness and punctuality, National release is done 1 year after the end of the reference period. It is the aim to publish preliminary figures 1 year after the end of the reference period. Final figures are published 1 year after the preliminary figures. Transmission of data to Eurostat follows rules laid down in the relevant legal act. , Read more about timeliness and punctuality, Comparability, Comparable figures are available for 1997–2006, when the statistics were compiled by the Centre for Research Analysis, and from 2007 onwards. In the 2007 statistics, some changes were made to the accounting principles compared with earlier compilations, and between 2006 and 2007 a number of structural changes affected a large number of research institutions. This means that the data in the new survey are only partially comparable with previous surveys., Read more about comparability, Accessibility and clarity, These statistics are published yearly in a Danish press release, at the same time as the tables are updated in the StatBank. In the StatBank, these statistics can be found under the subject , Research and development, . For further information, go to the , subject page, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/research-and-development-in-the-public-sector

Documentation of statistics

Documentation of statistics: Labour Market Account

Contact info, Labour Market , Pernille Stender , +45 24 92 12 33 , PSD@dst.dk , Get documentation of statistics as pdf, Labour Market Account 2021 , Previous versions, Labour Market Account 2019, Labour Market Account 2016, Labour Market Account 2015, Labour Market Account 2013, Labour Market Account 2014, New Labour Market Account concerning the population´s labour market status have been developed by Statistics Denmark. , The primary purpose of the Labour Market Accounts (LMA) is to provide a complete overview of the population´s labour market status compiled in terms of full-time persons, covering a given period of time or a given point-in-time., Statistical presentation, The Labour Market Account is compiled annually and provides information on the population´s labour market status, where labour-market related activities are given the highest priority. The statistics are compiled in terms of full-time persons. , Data on the population´s labour market status are broken down by socio-economic groups i.e. persons in employment, students, unemployed persons and other persons receiving public benefits, children and young people and other people outside the labour force., Read more about statistical presentation, Statistical processing, The primary statistical data for the LMA is a newly developed register called the AMR-UN (LMA without standardization of hours)., The AMR-UN is composed of administrative data, which are integrated and harmonised in a statistical system. , On the basis of the AMR-UN, the LMA is constructed by means of an hourly standardization of the population´s labour market status, where a person can at maximum contribute with 37 hours per week, corresponding to the existing hourly standard., Read more about statistical processing, Relevance, Over a number of years Statistics Denmark has carried out work on developing the LMA. Several users have indicated their great interest in and expectations with regard to the statistics/register. , Users of the LMA are typical ministries, organisations and research institutes, etc., Read more about relevance, Accuracy and reliability, In the LMA, a wide range of data sources are subjected to data editing and harmonisation in one statistical system. This implies that the LMA can conduct far better analyses of the labour market than the analyses that can be conducted by each individual statistic. At the same time, the LMA constitutes a census of the population and consequently, the statistical uncertainty is reduced compared to statistics compiled on the basis of sample surveys., Against this background, the quality of the statistics is considered to be relatively high. Despite this, there is still some degree of uncertainty linked to the statistics., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published approximately 15 months after the reference year., Read more about timeliness and punctuality, Comparability, The statistics cover the period 2008 to 2021, and during this period the development are comparable. , Read more about comparability, Accessibility and clarity, The statistic is published i the statbank , Labour market accounts, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/labour-market-account

Documentation of statistics

Regions, provinces and municipalities, v1:2007-

Name: , NUTS_V1_2007_DK , Description: , With the Danish Structural Reform, which came into force on 1 January 2007, The counties were abolished and replaced by 5 new regions. In addition, 98 municipalities were formed, which replaced the previous 271. For statistical purposes, the 5 regions are further divided into 11 provinces., The reform resulted by law in a new local and regional structure of the whole country with two administrative levels - regions and municipalities - and thereby a change of administrative units. Of the 98 municipalities, 32 municipalities retained the same municipal code and title before and after the reform., This classification includes Christiansø (code 411). Christiansø does not belong to a municipality, but is managed directly by the state via the Ministry of Defense., The geographical breakdown of regions and provinces is consistent with the Nomenclature of territorial units for statistics (NUTS).Municipalities correspond to local administrative units (LAU), which complement the NUTS nomenclature., Valid from: , January 1, 2007 , Office: , Metode og Data Science , Contact: , Søren Kristensen, , skr@dst.dk, , ph. +45 20 51 64 42 , Codes and categories, Open hierarchy, Download , CSV, DDI, 084: Capital Region of Denmark, 01: Province City of Copenhagen, 101: København, 147: Frederiksberg, 155: Dragør, 185: Tårnby, 02: Province Copenhagen environs, 165: Albertslund, 151: Ballerup, 153: Brøndby, 157: Gentofte, 159: Gladsaxe, 161: Glostrup, 163: Herlev, 167: Hvidovre, 169: Høje-Taastrup, 183: Ishøj, 173: Lyngby-Taarbæk, 175: Rødovre, 187: Vallensbæk, 03: Province North Zealand, 201: Allerød, 240: Egedal, 210: Fredensborg, 250: Frederikssund, 190: Furesø, 270: Gribskov, 260: Halsnæs, 217: Helsingør, 219: Hillerød, 223: Hørsholm, 230: Rudersdal, 04: Province Bornholm, 400: Bornholm, 411: Christiansø, 085: Region Zealand, 05: Province East Zealand, 253: Greve, 259: Køge, 350: Lejre, 265: Roskilde, 269: Solrød, 06: Province West and South Zealand, 320: Faxe, 376: Guldborgsund, 316: Holbæk, 326: Kalundborg, 360: Lolland, 370: Næstved, 306: Odsherred, 329: Ringsted, 330: Slagelse, 340: Sorø, 336: Stevns, 390: Vordingborg, 083: Region of Southern Denmark, 07: Province Fyn, 420: Assens, 430: Faaborg-Midtfyn, 440: Kerteminde, 482: Langeland, 410: Middelfart, 480: Nordfyns, 450: Nyborg, 461: Odense, 479: Svendborg, 492: Ærø, 08: Province South Jutland, 530: Billund, 561: Esbjerg, 563: Fanø, 607: Fredericia, 510: Haderslev, 621: Kolding, 540: Sønderborg, 550: Tønder, 573: Varde, 575: Vejen, 630: Vejle, 580: Aabenraa, 082: Central Denmark Region, 09: Province East Jutland, 710: Favrskov, 766: Hedensted, 615: Horsens, 707: Norddjurs, 727: Odder, 730: Randers, 741: Samsø, 740: Silkeborg, 746: Skanderborg, 706: Syddjurs, 751: Aarhus, 10: Province West Jutland, 657: Herning, 661: Holstebro, 756: Ikast-Brande, 665: Lemvig, 760: Ringkøbing-Skjern, 779: Skive, 671: Struer, 791: Viborg, 081: North Denmark Region, 11: Province North Jutland, 810: Brønderslev, 813: Frederikshavn, 860: Hjørring, 849: Jammerbugt, 825: Læsø, 846: Mariagerfjord, 773: Morsø, 840: Rebild, 787: Thisted, 820: Vesthimmerlands, 851: Aalborg, All versions, Name, Valid from, Valid to, Regions, provinces and municipalities, v1:2007-, January 1, 2007, Still valid

https://www.dst.dk/en/Statistik/dokumentation/nomenklaturer/nuts

Documentation of statistics: Rent indices for commercial real estate (Experimental statistics)

Contact info, Prices and Consumption , Get documentation of statistics as pdf, Rent indices for commercial real estate (Experimental statistics) 2024 , Previous versions, Rent indices for commercial real estate (Experimental statistics) 2023, The rent indices for commercial real estate is an experimental statistics for rented property units in the commercial real estate market. The purpose of the statistics is to measure change over time. The statistics is published since 2023 with indices going back to 2021., Statistical presentation, The statistics is a quarterly statistics for the Denmark., Read more about statistical presentation, Statistical processing, The rent indices is based on a sample of commercial real estate that are privately rented. The sample covers app. 140,000 property units out of a population of app. 700,000 property units. The index is calculated by the match models method, i.e. the change in rent is measured by comparing the rent of the same property unit between two adjacent periods., Read more about statistical processing, Relevance, The statistics is primary used as a business cycle indicator by the European Systemic Risk Board and the European Central Bank. Other uses of the statistics is to shed light on developments of rent in the rental market for commercial real estate., Read more about relevance, Accuracy and reliability, It is not possible to quantify the statistical uncertainty in the rent indices for commercial real estate because the sample is not randomly drawn from the population, thus there is a potential for a sample bias.. The rent is collected on the first day of the first month of the relevant quarter. Thus, there will be uncertainty associated with changes to the rent within the quarter that are not captured., Read more about accuracy and reliability, Timeliness and punctuality, The statistic is published on the 15th or the first working day thereafter, in the first month after the quarter. Only final indices are published., Read more about timeliness and punctuality, Comparability, The calculation is based on a uniform basis since 2021. The statistics is not necessary comparable with other statistics that cover the same population due to differences in calculation method., Read more about comparability, Accessibility and clarity, The statistics is published under the subject of Rent indices for housing., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/rent-indices-for-commercial-real-estate--experimental-statistics-

Documentation of statistics

Documentation of statistics: Government deficit and debt in the EU-countries

Contact info, Government Finances, Economic Statistics , Jesper Lillebro Feddersen , +45 20 51 61 92 , JEF@dst.dk , Get documentation of statistics as pdf, Government deficit and debt in the EU-countries 2025 , Previous versions, Government deficit and debt in the EU-countries 2024, Government deficit and debt in the EU-countries 2023, Government deficit and debt in the EU-countries 2022, Government deficit and debt in the EU-countries 2021, Government deficit and debt in the EU-countries 2020, Government deficit and debt in the EU-countries 2019, EMU-Deficit and EMU-Debt in Denmark and Government Deficit and Debt in the EU 2018, EMU-Deficit and EMU-Debt in Denmark and Government Deficit and Debt in the EU 2017, EMU-Deficit and EMU-Debt in Denmark and Government Deficit and Debt in the EU 2016, EMU-Deficit and EMU-Debt in Denmark and Government Deficit and Debt in the EU 2015, EMU-Deficit and EMU-Debt in Denmark and Government Deficit and Debt in the EU 2014, EMU-Deficit and EMU-Debt in Denmark and Government Deficit and Debt in the EU 2013, EMU-debt and EMU-deficit (Government deficit and debt) is the statistical data required for the excessive deficit procedure (EDP) in the Economic and Monetary Union in according to the Maastricht Treaty and Stability- and Growth Pact. The EU-Commission uses the statistics to monitor and examine the development of the budgetary situation and government debt in Denmark in accordance with the Maastricht Treaty convergence criteria. The Compilations are based on the European System of Accounts (ESA2010). However, on some points they differ from ESA2010, e.g. on the valuation of debt, which is at nominal value., Statistical presentation, The compilation of consolidated gross debt at nominal value for general government is sometimes referred to as EMU-debt/government debt. The deficit is sometimes referred to as the EMU-deficit/government deficit. Government deficit and debt in EU covers data on ESA2010 back from 2010, at the moment. Danish Government deficit and debt covers data on ESA2010 back from 2000., Read more about statistical presentation, Statistical processing, Main sources are balance sheets and income statements from the central government, regions and municipalities and and social security funds. Frequency of data collection is Semi-annual and quarterly. Because of the number of consistency checks and data confrontations facilitated by the system of accounts. Further more Eurostat/EU-commission assess the quality of EDP-data by a detailed inventory, a clarificationproces after the notifications and by standard dialogue and upstream visits every second year., Read more about statistical processing, Relevance, High., Read more about relevance, Accuracy and reliability, The government deficit and debt is based on accounts figures for the whole general government sector that have a very limited degree of inaccuracy. , The statistical uncertainty is not calculated. , The overall accuracy is considered to be relatively high., Read more about accuracy and reliability, Timeliness and punctuality, Debt: End of the quarter and end of the year., Deficit: Current year., The statistics are usually published without delay in relation to the scheduled date., Read more about timeliness and punctuality, Comparability, Government EMU-debt is to a certain degree comparable with quarterly financial accounts for general government since both statistics are based on the sectors and instruments defined in ESA2010. The primary differences are: Government EMU-debt is based on nominal values, while quarterly financial accounts for General Government are based on market values., In a similar way, Government Deficit is comparable with the national accounts compilations of net-lending for General Government in the so called March- and June-versions., Read more about comparability, Accessibility and clarity, These statistics are published in a Danish press release and in the StatBank under the subject , EMU debt and EMU balance, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/government-deficit-and-debt-in-the-eu-countries

Documentation of statistics

Social protection expenditure (ESSPROS)

Unknown

https://www.dst.dk/en/Statistik/dokumentation/nomenklaturer/esspros?id=030223c4-9c9d-440c-b4ad-5b506baa070a

The Combined Nomenclature (CN)

Unknown

https://www.dst.dk/en/Statistik/dokumentation/nomenklaturer/kn?id=6b82e360-3b3b-4ca9-8ead-47dd359f111d

Documentation of statistics: Social protection expenditure

Contact info, Government Finances, Economic Statistics , Marianne Ahle Møller , +45 24 66 00 28 , MNM@dst.dk , Get documentation of statistics as pdf, Social protection expenditure 2024 , Previous versions, Social protection expenditure 2023, Social protection expenditure 2022, Social protection expenditure 2021, Social protection expenditure 2020, Social protection expenditure 2018, Social protection expenditure 2017, Social protection expenditure 2016, Social protection expenditure 2015, Social protection expenditure 2014, Social protection expenditure 2013, The purpose of the Social Expenditure Statistics is to illuminate expenditure connected to social protection targeting individuals and households. Social protection encompasses a society’s interventions intended to relieve individuals and households of the financial burden of a defined set of risks or needs, e.g. illness. The statistics provide an overview of the development in expenditures related to social protection in Denmark and can be used to compare the level of social protection internationally. The statistics have been compiled since 2007 and are based on a European statistics system., Statistical presentation, The statistics are an annual statement of expenditures on benefits connected to social protection assessed in DKK million. Social benefits are benefits intended to relieve households and individuals of the financial burden of a defined set of risks or needs, e.g. illness or unemployment. The statement includes both cash benefits and benefits in kind (e.g. free health care services). The statistics are divided into eight main areas and includes the whole of Denmark as well as some Danish pensioners abroad. The benefits include both public and private expenses., Read more about statistical presentation, Statistical processing, The data for this statistic is collected yearly via the main sources: central and local accounts. It is supplemented with internal data deliveries from insurance- and pensions subsectors, application matrixes, hours and days of absence from work, and an external data delivery on tax rates used for enumerating the statistic from the Ministry of Finance., The collected data is validated via removal of potential errors, coding, and treatment processes leading to the final result, which, amongst other things, demands reviews and quality assurance of codes, expenditures and developments over time., Read more about statistical processing, Relevance, Data on social expenditure is in big demand from international organizations, e.g. from Eurostat and Directorate-General for Employment, Social Affairs and Inclusion (DG EMPL)., Read more about relevance, Accuracy and reliability, This statistic is based on the statistic for General Government Finances, and is relevant for users interested in expenditures connected to social protection (expenditures linked to education are excluded from this statistic)., The statistic is published on a yearly basis and is revised two years back in time in every production, which ensures consistency and transparency in the data., In regards to possible uncertainties, the level of the total social expenditures to be slightly underestimated., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published annually, approximately 10 months after the end of the calendar year. The statistics are usually published without delay in relation to the scheduled date., Read more about timeliness and punctuality, Comparability, The statistic is comparable from 2007 and onwards. It is comparable to the statistic for General Government Finances, which follows the principles of National Accounts., The statistic is regulated by order by the EU and is also published by Eurostat via the , ESSPROS, -system (European System of Integrated Social PROtection Statistics), albeit in slightly different categories than those presented in the Danish Stat bank. This makes the statistic internationally comparable with statistics in other countries reporting to the ESSPROS system in Eurostat., Read more about comparability, Accessibility and clarity, The statistic is published annually in the form of two statistics tables in the , Statbank, and a Danish news release in , Nyt fra Danmarks Statistik, . , In addition, internationally comparable figures for this statistic are available in the Social protection expenditures available on , Eurostat's website, . , More information is available on the page of Social Expenditures at , Statistics Denmark’s website, , as well as on the , site on classifications, , where e.g. codes, categories and manuals in for the statistic are accessible., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/social-protection-expenditure

Documentation of statistics

Documentation of statistics: Consumer Expectations Survey

Contact info, Prices and Consumption, Economic Statistics , Zdravka Bosanac , +45 61 15 16 74 , ZBO@dst.dk , Get documentation of statistics as pdf, Consumer Expectations Survey 2025 , Previous versions, Consumer Expectations Survey 2024, Consumer Expectations Survey 2023, Consumer Expectations Survey 2022, Consumer Expectations Survey 2021, Consumer Expectations Survey 2020, Consumer Expectations Survey 2019, Consumer Expectations Survey 2018, Consumer Expectations Survey 2017, Consumer Expectations Survey 2016, Consumer Expectations Survey 2015, The purpose of the survey is to analyze the consumer climate through questions about the economic situation as perceived by consumers at a given time concerning both the general economic situation in Denmark and the financial situation of the family. The main results are coordinated in the so-called consumer confidence indicator. The Danish surveys have been conducted since 1974. From 1996 data is collected in all 12 months of the year., Statistical presentation, Consumer monthly questions for: financial situation, general economic situation, price trends, unemployment, major purchases and savings. Consumer quarterly questions for: intention to buy a car, purchase or build a home, home improvements., Read more about statistical presentation, Statistical processing, This survey are sample surveys, where a representative sample of persons 16-74 years are asked among other things about the consumer expectations. The results are corrected from the effects of non-sampling and non-response and then enumerated so that the figures can directly be classed with the population of adult persons and families in Denmark. Data are validated using logical validation rules. A seasonal pattern could not be identified in the series and no seasonal adjustment was undertaken., Read more about statistical processing, Relevance, The most important user is the European Commission for Economy and Finances (ECFIN), which receives detailed tables for all questions and publishes seasonally adjusted consumer confidence indicators for all EU member states. The figures are also of great interest to the news media., Read more about relevance, Accuracy and reliability, As the results are based on a sample survey, they are subject to a certain degree of statistical uncertainty. This depends on both the size of the sample and the number of completed interviews, which vary from survey to survey. With a sample of approximately 1,500 persons and a response rate of about 65%, which has normally been achieved in the last few years, the statistical uncertainty is in 95 pct. of the cases estimated ranged within +/- 3 percentage points. A change in an indicator should be greater than 5 percentage points to indicate a significant change., Read more about accuracy and reliability, Timeliness and punctuality, There is no difference between planned and actual release time., Read more about timeliness and punctuality, Comparability, The questions asked in connection with these statistics in Denmark are also asked in the European Commission's Consumer confidence survey '. The European Commission publishes figures for all EU countries in its database. Eurostat's consumer confidence is based on a slightly different composition of questions than the current one in Denmark. Therefore, the overall consumer confidence indicators calculated in Denmark and in Eurostat are not directly comparable, whereas all sub-indicators are directly comparable. The questions shown in the section 2.01. Data description, have been asked in all the omnibus surveys since 1974. Due to minor changes in the calculation method, an immediate comparison is only possible from 2007 onwards. , Read more about comparability, Accessibility and clarity, The results are published in , News from Statistics Denmark, and , Statbank Denmark, . Further, there is a subject page for , Consumer Expectations, ., After each survey, Statistics Denmark submits detailed tables giving a number of background variables as well as the consumer confidence indicator and net figures to the European Commission, which publishes monthly both seasonally adjusted and not seasonally adjusted indicator and the net figures for each members state (incl. Denmark), at European Commission database: , European Commission database, The access to the more detailed data and Micro-data can be granted through Statistics Denmark's agreement for researchers., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/consumer-expectations-survey

Documentation of statistics