The INEXDA network maintains a metadata schema designed to describe microdata for research usage. Below you can find a list of datasets shared by the INEXDA members with external researchers including descriptive metadata and the access mode.
| Name of Dataset | Institution | Unit Description / Unit Identifier | Availability | Time Dimension | Temporal Coverage | Sampled Universe | Geographic Coverage | Short Description | General Resource Type | DOI Proposal | Language | Publication Date | Sampling | Collection Mode | Keywords | Alternative Identifier | Related Identifiers | Publications | ||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Adult education survey - Eurostat (europa.eu) | Eurostat | Persons / Households | Download | Every 6 years | 2007 to 2016 | Persons aged 25 to 64 living in private households | EU plus some EFTA/other countries | Survey on adult participation in education and training | Dataset | English | March 2021 | Yes | National surveys | Education, training, lifelong learning | INEXDA | https://ec.europa.eu/eurostat/web/microdata/publications | ||||||
| Aggregate balance sheet data for credit institutions - IBSI | Banque de France | Interbank code | CASD | 2011-2023 | Credit institutions | France | The aggregated balance sheet data series for credit institutions (IBSI) is an aggregated corporate balance made up of 11 dimensions. The monthly stock (securities) of Securities other than shares issued by euro area FMIs and held by euro area investment funds, which mainly invest in equity funds, denominated in euros and with a maturity of 1 year, is coded as follows: IVF.M.U2.N.10.A30.F.1.U2.1000.EUR.E. | Dataset | 10.34724/CASD.590.4815.V1 | French | NA | Electronical | INEXDA | NA | ||||||||
| Analysis of legal entities | Banque de France | SIREN | CASD | Yearly | 2022-2023, 1977-2021 | Non-financial companies | France | Company ratings are used for monetary policy purposes, for analyzing corporate risks, and for calculating the capital requirements of credit institutions under the solvency rules in force. General principles for assigning the BRIDGJES rating descriptor: company ratings and the indicators for individual managers are explained using a conventional system consisting of the letters B, R, I, D, G, J, E and S. | Dataset | 10.34724/CASD.566.4807.V1 | French | NA | Electronical | Descriptor, BRIDGES, Refcot, Managers, Quotation, Companies, Risks | INEXDA | NA | ||||||
| Annual financial statements of non-financial firms (JANIS and Ustan) | Deutsche Bundesbank | NA | On-site | NA | 1997 / 2022 | JANIS consists of individual financial statements of non-financial corporations which are provided from several sources: financial statements received by the Deutsche Bundesbank in the context of the credit assessment and from public sources like the Bundesanzeiger. | Germany (DE) | The database comprises individual annual financial statements of non-financial corporations. It contains data from the Bundesbank’s credit assessment system and from public sources. The data is part of the Financial Statements Data Pool. This dataset is available from 1997 to 2022 as a panel dataset and can be used for research purposes. It provides the balance sheet data, the profit and loss account, the asset history sheet and the statement of appropriation of income (if any) and additional information about firms, like the branch of industry or the legal form. | Dataset | 10.12757/Bbk.JANIS.9722.12.12 | English | October 2023 | Non-financial companies which submitted balance sheets to the Deutsche Bundesbank in the context of the credit assessment and public sources. | NA | Balance sheet, Enterprise, Balanche Sheet Data, Non-financial Corporations, Credit Assessment, Refinancing Business | INEXDA | NA | Becker, T., E. Biewen, D. Hüwel, and S. Schultz (2023). Individual financial statements of non-financial firms (JANIS) 1997-2022, Data Report 2023-23 – Metadata Version 12. Deutsche Bundesbank, Research Data and Service Centre. | ||||
| Assigned debts (M_CESSCRE) | Banque de France | Interbank code / SIREN | CASD | 2010-2021 | Credit Institutions | France | Assigned receivables data (the SURFI M_CESSCRE table) lists the outstanding securitized or transferred receivables for which the establishment is responsible for recovery or rights of recovery. The transfer of receivables must be effective, with removal from the balance sheet of the reporting entity. This information complements the data reported under European Central Bank Regulation (EU) No 1075/2013 of 18 October 2013 concerning statistics on the assets and liabilities of financial vehicles undertaking securitization transactions (ECB/2013/40). | Dataset | 10.34724/CASD.589.4260.V2 | French | NA | Electronical | INEXDA | NA | ||||||||
| Balance sheets of Banks of issue | Banca d'Italia | MFIs / name of issuer | Download | Time series: annual | 1894 - 1990 | Banks of issue | IT | The archive collects historical series, from 1894 to 1990, concerning balance sheets of Banca d'Italia and other issuing institutes (Banco di Napoli e Banco di Sicilia), sectored schemes of these institutes, of the Istituto Nazionale per i Cambi con l'Estero (INCE) and Ufficio Italiano dei Cambi-UIC, as well as the consolidated situation of all the aforementioned entities. | Dataset | Italian | September 2016 | Total population | Analysis of historical documents | Banks, National Central Bank, Other monetary financial insititutions, Balance sheet | https://www.bancaditalia.it/statistiche/tematiche/stat-storiche/stat-storiche-microdati/I-bilanci-degli-istituti-di-emissione-1894-1990.pdf?language_id=1 (italian only) | |||||||
| Bank Credit Market Survey | Banco de México (EconLab) | Commercial banks | On-site, Remote | Panel: semi-annual | 2015-03 to last semi-annual | All commercial banks in Mexico | MX | This survey is responded to by the executives responsible for the credit granting policies of commercial banks operating in the country. | Dataset | NA | Spanish | 2023-10 | NA | Surveys | Survey, credit, companies, consumer, mortgage, commercial banks, supply, demand | EconLab-15 | ||||||
| Bank Lending Survey für Deutschland (BLS) | Deutsche Bundesbank | NA | On-site | Panel: quarterly | 2003Q1 - 2021Q3 | NA | NA | Since January 2003, the Eurosystem has carried out a quarterly bank lending survey (BLS) to expand its knowledge about the role of lending in the monetary transmission mechanism and thus to obtain additional information for monetary policy analysis. The questionnaire comprises 23 qualitative questions on past and expected future lending policies by participating institutions to the private non-financial sector as well as on credit demand. Ad hoc questions on particularly topical issues may be added if necessary. | Dataset | 10.12757/Bbk.BLS.microdata.03Q1-21Q3.01.01 | English | August 2021 | NA | NA | NA | INEXDA | NA | Hempell, H. S. (2005), “New Bank Lending Survey of the Eurosystem: Interpretation and Use of First Results for Germany”, Journal of Business Cycle Measurement and Analysis, Vol. 2004/3. Deutsche Ergebnisse der Umfrage zum Kreditgeschäft im Euro-Währungsgebiet, Deutsche Bundesbank, Juni 2003. Bank Lending Survey: an interim assessment and current developments, Deutsche Bundesbank, Monatsberichtsaufsatz Januar 2009. Entwicklungen im Bank Lending Survey seit Beginn der Finanzkrise, Deutsche Bundesbank, Monatsberichtsaufsatz Juli 2016. Binder, N., Busch, U., Hirsch, C., Kraaz, B., Pham-Dao, L. and K. Zimmermann (2021). Bank Lending Survey for Germany, Data Report 2021-12 – Metadata ID BLS Data-Doc-v1-0. Deutsche Bundesbank, Research Data and Service Centre | ||||
| Bank_Balance_Sheet | Banco de Portugal | Bank / Bina (Bank Identification Number Anonymized) | On-site; Remote | Longitudinal | 09/1997 -12/2022 | Monetary Financial Institutions (MFIs) | Portugal | BBS is a data set constrcuted by BPLIM based on Monetary and Financial Statistics covering all MFIs resident in Portugal that are subject to the prudential supervision of Banco de Portugal. | Dataset | 10.17900/BBS.Jun2023.V1 | English | June 2023 | NA | SelfAdministeredQuestionnaire.WebBased | Bank; Balance-Sheet; Assets; Liabilities; Instrument; Counterparty | INEXDA | Is new version of DOI: 10.17900/BBS.Jun2022.V1 | Bank Balance Sheet - Researchers Manual, Banco de Portugal | ||||
| Banking data ancillary tables (BANCI) | Banca d'Italia | MFIs / internal bank id | REX | Panel: monthly | 2003-01 - | MFIs | IT | This database is made available to researchers to manage structural changes within the banking system and combine other information relevant to the use of the banking data database (IBBaSS) | Dataset | English | November 2023 | Total population | Electronical | Banks | Is supplement to IBBaSS | NA | ||||||
| Banks' profit and loss accounts (GuV) | Deutsche Bundesbank | NA | On-site | NA | NA | NA | NA | NA | Dataset | 10.12757/BBk.GuV.9922.01.01 | English | October 2023 | NA | NA | NA | INEXDA | NA | NA | ||||
| Bundesbank Online Panel – Firmen (BOP-F) | Deutsche Bundesbank | NA | On-site | Panel: quarterly | Wave 1: June 18 -- July 27 2020; Wave 2: August 26 -- September 30 2020; Wave 3: October 9 -- November 13 2020; Wave 4: January 29 -- March 2 2021; Wave 5: May 6 -- May 26 2021; Wave 6 - Wave 32: July 2021 - September 2023; | The sample for the survey is drawn from the universe of firms based in Germany with a taxable turnover of more than €22,000 or at least one employer subject to social security contributions which includes roughly 1 million firms. | Germany (DE) | The BOP-F Scientific Use File 2023Q3 Version 01 consists of the Stata files BOPF.2023Q3.01_wave01.dta to BOPF.2023Q3.01_2023Q3.dta. For more details, see the BOP-F documentation on the website of the Deutsche Bundesbank. | Dataset | 10.12757/Bbk.BOPF.2023Q3.01 | English | April 2024 | The drawing is a proportional random sample according to industry, region and size class, so that the selection probability is equal for all firms. | Self-administered questionnaire: Web-based | firm-expectations, covid-19, corona, inflation, climate change, firm finance, digitalisation | INEXDA | NA | NA | ||||
| Bundesbank Online Panel Households (BOP-HH) | Deutsche Bundesbank | NA | Delivery | Panel: monthly | 04/2019 - 12/2023 | Individuals in Germany with age 16 or higher | Germany (DE) | The BOP-HH Scientific Use File 202401 Version 01 data set continues the BOPSOCE Scientific Use File Version 1.0. It consists of the Stata files bophh_suf_202401_v02_wave01.dta to bophh_suf_202401_v02_wave48.dta. For more details, see the BOP-HH documentation on the website of the Deutsche Bundesbank. | Dataset | 10.12757/75721.6 | English | January 2024 | Random sample of individuals from an offline recruited panel maintained by the survey company forsa (forsa.omninet) | Self-administered questionnaire: Web-based | NA | INEXDA | Is a new version of: 10.12757/Bbk.BOPSOCE.01.00.00 | NA | ||||
| Business Outlook Survey of Industrial and Service Firms (SONDTEL) | Banca d'Italia | Firms / internal firm id | REX | Panel: annual | 1993 - | Firms with more than 20 employees, industry, service and construction sectors | IT | Dataset | English | November 2023 | Panel | Questionnaire to firm | Non-financial corporations | Is supplement to INVIND | https://www.bancaditalia.it/pubblicazioni/metodi-e-fonti-note/metodi-note-2017/metodologia_sondaggio_impr_industr_serv.pdf (italian only) | |||||||
| Business survey - Construction | Banque de France | SIREN | CASD | Monthly | 2009-2023 | Business surveys | France | The monthly business survey on Industry, Market Services and Building conducted by the Banque de France is a diagnosis of the French economy, in the form of business climate indicators and short-term forecasts. At the beginning of each month, it describes the economic situation of the previous month, through the answers of company executives. A opinion poll is then established from these responses. | Dataset | 10.34724/CASD.584.4809.V1 | French | NA | Electronical | INEXDA | NA | |||||||
| Business survey - Industry | Banque de France | SIREN | CASD | Monthly | 1996-2023 | Business surveys | France | The monthly business survey on Industry, Market Services and Building conducted by the Banque de France is a diagnosis of the French economy, in the form of business climate indicators and short-term forecasts. At the beginning of each month, it describes the economic situation of the previous month, through the answers of company executives. A opinion poll is then established from these responses. | Dataset | 10.34724/CASD.585.4810.V1 | French | NA | Electronical | INEXDA | NA | |||||||
| Business survey - Market Services | Banque de France | SIREN | CASD | Monthly | 2002-2023 | Business surveys | France | The monthly business survey on Industry, Market Services and Building conducted by the Banque de France is a diagnosis of the French economy, in the form of business climate indicators and short-term forecasts. At the beginning of each month, it describes the economic situation of the previous month, through the answers of company executives. A opinion poll is then established from these responses. | Dataset | 10.34724/CASD.586.4811.V1 | French | NA | Electronical | INEXDA | NA | |||||||
| Captación a plazo M.E. transaccional | Banco de México (LISF) | Households, Companies (NFC) | On-site | Daily | 1997-01 to 2024-02 | Households, Companies (NFC) | MX | This database includes data, at transactional level, of term deposits in foreign currency; as well as their characteristics such as: type of deposit, start date, maturity date, type of interest rate, interest rate, type of counterpart, currency. | Dataset | NA | Spanish | 2024-03 | NA | Regulatory reports | Term deposits, Transactional data | NA | NA | |||||
| Captación a plazo M.N. transaccional | Banco de México (LISF) | Households, Companies (NFC) | On-site | Daily | 1997-01 to 2024-02 | Households, Companies (NFC) | MX | This database includes data, at transactional level, of term deposits in national currency; as well as their characteristics such as: type of deposit, start date, maturity date, type of interest rate, interest rate, type of counterpart. | Dataset | NA | Spanish | 2024-03 | NA | Regulatory reports | Term deposits, Transactional data | NA | NA | |||||
| Captación agregada | Banco de México (LISF) | Households, Companies (NFC) | On-site | Monthly | 1994-12 to 2024-02 | Households, Companies (NFC) | MX | This database includes aggregated data of sight and term deposits, in national and foreign currency; The information contained in this database is the balances as of the last day of the month, average balance for the month, interest accrued in the month, average interest rate for the month. | Dataset | NA | Spanish | 2024-03 | NA | Regulatory reports | Sight and term deposits | NA | NA | |||||
| Cash flow forecasts (INFO_LIQU - EC) | Banque de France | Interbank code / SIREN | CASD | 2010-2021 | Credit institutions | France | Data on cash flow forecasts in credit institutions. | Dataset | 10.34724/CASD.605.4276.V2 | French | NA | Electronical | INEXDA | NA | ||||||||
| Catalog of Mexican companies | Banco de México (EconLab) | Companies | On-site, Remote | Panel: annual | 2020-01 to last year | Mexican firms | MX | Consists of a catalogue of Mexican companies that has economic and financial information on more than 2,450,000 companies. | Dataset | NA | Spanish | 2021 | NA | Collected by suppliers | Asset prices, Trading volume, Insurance companies, Bond interest rates, Securities, Non-financial corporations, Balance sheet, industry, sector. | EconLab-06 | Sumit Agarwal, Ricardo Correa, Bernardo Morais, Jessica Roldán and Claudia Ruiz Ortega (2020). 2020).“Owe a Bank Millions, the Bank Has a Problem: Credit Concentration in Bad Times.” World Bank y FED | |||||
| Census of new contracts (M_CONTRAN) | Banque de France | SIREN / Interbank code / Sort code | CASD | 2010-2021 | Credit Institutions | France | Census of new contracts data (the M_CONTRAN document) lists new euro-denominated credit contracts concluded with individuals, non-financial companies, sole proprietors, non-profit institutions serving households and local public administrations, whether or not they are resident in France. As of June 2021: - New additions implemented: Wear Rate category, Types of Counterparty and Use of Loan (the latter only applies to sole traders) - New metadata descriptions - New version of the Catalog record (Comments, Methodology, etc.) | Dataset | 10.34724/CASD.612.4814.V2 | French | NA | Electronical | INEXDA | NA | ||||||||
| Central_Balance_Sheet | Banco de Portugal | Firm / Tina (Tax Identification Number Anonymized) | On-site; Remote | Longitudinal | 2006 to 2021 | Portuguese NFCs | Portugal | The CB Database is mostly based on information reported through Informação Empresarial Simplificada (IES, Simplified Corporate Information) and contains annual data, from 2006 onwards. | Dataset | 10.17900/CB.CBA.Jun2023.V1 | English | June 2023 | NA | SelfAdministeredQuestionnaire.WebBased | Firm, Balance Sheet, Profit, Loss, Employment, Cash Flow | INEXDA | Is new version of DOI: 10.17900/CB.CBA.Jun2022.V1 | CBA - Researchers Manual, Banco de Portugal | ||||
| Central_Balance_Sheet_Harmonized_Panel | Banco de Portugal | Firm / Tina (Tax Identification Number Anonymized) | On-site; Remote | Longitudinal | 2006 to 2021 | Portuguese NFCs | Portugal | CBHP is a data set constructed by BPLIM and is based on the CB data. It covers the period from 2006 onwards. CBHP contains only variables that were either not affected by the 2010 change in the accouting system or variables for which we could establish a direct correspondence between the two accounting systems (harmonized variables). | Dataset | 10.17900/CB.CBHP.Jun2023.V1 | English | June 2023 | NA | SelfAdministeredQuestionnaire.WebBased | Firm, Balance Sheet, Profit, Loss, Employment, Cash Flow | INEXDA | Is new version of DOI: 10.17900/CB.CBHP.Jun2022.V1 | CBA - Researchers Manual, Banco de Portugal | ||||
| Central_Credit_Responsibility_Exposure_Level | Banco de Portugal | Firm / Tina (Tax Identification Number Anonymized) Bank / Bina (Bank Identification Number Anonymized) | On-site, only to Internals | Longitudinal | 1999-2018 | Banks, saving banks, mutual agricultural credit banks, financial credit institutions, leasing companies, factoring companies, securitization companies, mutual guarantee societies, and financial companies for credit acquisitions. | Portugal | CCR_EXP database contains data at the finest level of granularity as reported by the credit-granting institutions. | Dataset | 10.17900/CRC.EXP.Jun2019.V1 | English | June 2019 | NA | SelfAdministeredQuestionnaire.WebBased | Firm-Bank; Credit Outstanding; Credit-Granting Institutions; Exposure | INEXDA | NA | Central Credit Responsability -Internal Researchers Manual, Banco de Portugal | ||||
| Central_Credit_Responsibility_Firm_Bank_Level | Banco de Portugal | Firm / Tina (Tax Identification Number Anonymized) Bank / Bina (Bank Identification Number Anonymized) | On-site; Remote | Longitudinal | 01/1999-08/2018 | Banks, saving banks, mutual agricultural credit banks, financial credit institutions, leasing companies, factoring companies, securitization companies, mutual guarantee societies, and financial companies for credit acquisitions. | Portugal | CRC_FRMBNK contains a finer level of aggregation given that it is implemented at the Firm-Bank level. | Dataset | 10.17900/CRC.FRMBNK.Jun2019.V1 | English | June 2019 | NA | SelfAdministeredQuestionnaire.WebBased | Firm-Bank; Credit Outstanding; Credit-Granting Institutions; Bank Relationships | INEXDA | NA | Central Credit Responsability -Internal Researchers Manual, Banco de Portugal | ||||
| Central_Credit_Responsibility_Firm_Level | Banco de Portugal | Firm / Tina (Tax Identification Number Anonymized) Bank | On-site; Remote | Longitudinal | 01/1999-08/2018 | Banks, saving banks, mutual agricultural credit banks, financial credit institutions, leasing companies, factoring companies, securitization companies, mutual guarantee societies, and financial companies for credit acquisitions. | Portugal | CRC_FRM covers credit portfolios (firm-level) of all credit-granting institutions operating in Portugal. | Dataset | 10.17900/CRC.FRM.Jun2019.V1 | English | June 2019 | NA | SelfAdministeredQuestionnaire.WebBased | Firms; Credit Outstanding; Credit-Granting Institutions | INEXDA | NA | Central Credit Responsability - External Researchers Manual, Banco de Portugal | ||||
| Centralised Securities Database (CSDB) | Deutsche Bundesbank | NA | On-site | NA | 2009-03-31 / 2022-06-30 | NA | NA | NA | Dataset | 10.12757/BBk.CSDB.200903-202206.01.01 | English | March 2023 | NA | NA | NA | INEXDA | Is new version of DOI: 10.12757/BBk.CSDB.200903-202012.02.01 (Dataset) | NA | ||||
| Commercial Loans Micro-Data for Mexico | Banco de México (EconLab) | Loans | On-site, Remote | Panel: monthly | 2003-12 to last month | All comertian loans in Mexico | MX | The commercial loans database includes the universe of commercial loans granted in Mexico by banking financial institutions. | Dataset | NA | Spanish | 2018 | NA | Regulatory reports | Loans, credits, commercial, financial institutions, interest, amount, federal taxpayer registry. | EconLab-01 | Bernado Morais , José Luis Peydró , Jessica Roldán Peña, Claudia Ruiz Ortega (2018).” The International Bank Lending Channel of Monetary Policy Rates and QE: Credit Supply, Reach for Yield, and Real Effects.” The Journal of Finance. - Samaniego de la Parra, Brenda and León Fernández Bujanda. “Increasing the Cost of Informal Employment: Evidence from Mexico”. American Economic Journal: Applied Economics. | |||||
| Community innovation survey - Eurostat (europa.eu) | Eurostat | Enterprises | Download | Every 2 years | 2000 to 2018 | Enterprises with at least 10 employees in core NACE categories | Most EU plus some EFTA/other countries | Survey on innovation activities in enterprises | Dataset | English | September 2022 | Yes | National surveys | Enterprises, innovation | INEXDA | https://ec.europa.eu/eurostat/web/microdata/publications | ||||||
| Community innovation survey - Eurostat (europa.eu) | Eurostat | Enterprises | On-site, Remote | Every 2 years | 2000 to 2018 | Enterprises with at least 10 employees in core NACE categories | Most EU plus some EFTA/other countries | Survey on innovation activities in enterprises | Dataset | English | September 2022 | Yes | National surveys | Enterprises, innovation | INEXDA | https://ec.europa.eu/eurostat/web/microdata/publications | ||||||
| Community statistics on information society - Eurostat (europa.eu) | Eurostat | Persons / Households | Download | Yearly | 2008 to 2022 | Households with at least 1 member aged between 16 and 74 years, and individuals aged between 16 and 74 years | EU plus some EFTA/other countries | Yearly survey on access to and use of information and communication technologies | Dataset | English | February 2024 | Yes | National surveys | ICT access, ICT use | INEXDA | https://ec.europa.eu/eurostat/web/microdata/publications | ||||||
| Conditional instruments and commitments on over-the-counter IFTs (IFT_ENGAG - EC) | Banque de France | Interbank code / SIREN | CASD | Quarterly | 2010-2021 | Credit institutions | France | The IFT_ENGAG table lists conditional instruments bought and sold and commitments on over-the-counter financial futures, excluding related receivables and payables. | Dataset | 10.34724/CASD.599.4595.V1 | French | NA | Electronical | INEXDA | NA | |||||||
| Conditional instruments and commitments on over-the-counter IFTs (IFT_ENGAG - EI) | Banque de France | Interbank code / SIREN | CASD | Quarterly | 2010-2020 | Securities, Investment | France | Contingent instruments and commitments on over-the-counter financial futures (IFT) - Securitization Undertakings and Investment Firms data (the SURFI IFT_ENGAG table) lists contingent instruments bought and sold and commitments on over-the-counter financial futures, excluding related receivables and payables. | Dataset | 10.34724/CASD.628.4300.V1 | French | NA | Electronical | INEXDA | NA | |||||||
| Conditional instruments bought and sold by counterparty residence (IFT_ResNR - EC) | Banque de France | Interbank code / SIREN | CASD | 2010-2021 | Credit institutions | France | The IFT_ResNR table lists conditional instruments purchased and sold, excluding related receivables and liabilities, broken down by residency of counterparty. | Dataset | 10.34724/CASD.598.4594.V1 | French | NA | Electronical | INEXDA | NA | ||||||||
| Continuing vocational training survey - Eurostat (europa.eu) | Eurostat | Enterprises | Download | Every 5 years | 2005 to 2020 | Enterprises with at least 10 employees, belonging to a certain group of economic activities | Most EU plus some EFTA/other countries | Survey on continuing vocational training in enterprises | Dataset | English | February 2023 | Yes | National surveys | Vocational training, lifelong learning | INEXDA | https://ec.europa.eu/eurostat/web/microdata/publications | ||||||
| CPI Micro-Data for Mexico | Banco de México (EconLab) | Products | On-site, Remote | Time series: monthly | 2009-01 to last month | Productor prices | MX | The microdata of the Consumer Price Index (CPI) | Dataset | NA | Spanish | 2018 | NA | Collected for statistical generatio | Prices, sources, relatives, CPI, Product category, retailer. | EconLab-05 | ||||||
| Credit and Debit Card Transactions Micro-Data for Mexico | Banco de México (EconLab) | Loans | On-site, Remote | Panel: monthly | 2009-01 to last month | Transactions of credit and debit cards in Mexico | MX | The --completa-- dataset contains information from the universe of transactions made at Point of Sales (PoS) terminals with credit and debit cards in Mexico. | Dataset | NA | Spanish | 2021 | NA | Electronic Registry | Point of Sale, credit, debit, Bank, issuer, transaction, postal codes. | EconLab-07 | ||||||
| Credit bureau information on SME credit applications | Banco de México (EconLab) | Loans | On-site, Remote | Ad hoc | 2015-07 to 2022-02 | Loans granted in Mexico to SMEs | MX | Dataset of loans granted in Mexico to SMEs reported by BFIs (Banking Financial Institutions) and NBFIs (Non-Banking Financial Institutions) to the Dun & Bradstreet Credit Information Society (SIC). | Dataset | NA | Spanish | 2023-10 | NA | Reports | Credit bureau, non-bank, banking, payment behaviour, credit bureau, credit information society. | EconLab-13 | ||||||
| Créditos a empresas | Banco de México (LISF) | Companies (NFC) | On-site | Monthly | 2009-07 to 2024-02 | Companies (NFC) | MX | Banking loans to firms. This database includes microdata, at company-bank level, of banking loans, their characteristics as: type of interest rate, interest rate, maturity, default probability, economic sector of the firm. | Dataset | NA | Spanish | 2024-03 | NA | Regulatory reports | Credit risk, SME, Loans, Credit terms | NA | NA | |||||
| Créditos abcd | Banco de México (LISF) | Households | On-site | Bimonthly | 2011-04 to 2023-13 | Households | MX | Bank loans intended for the acquisition of durable consumer products. This database includes microdata. Its characteristics such as: interest rate, term, credit amount, credit balance, payments, maturity, probability of non-payment, etc. | Dataset | NA | Spanish | 2024-03 | NA | Regulatory reports | Personal credits, Non-revolving credits | NA | NA | |||||
| Créditos auto | Banco de México (LISF) | Households | On-site | Bimonthly | 2011-04 to 2023-12 | Households | MX | Bank loans for the purchase of automobiles. This database includes microdata. Its characteristics such as: value of the car, interest rate, term, credit amount, credit balance, payments, maturity, probability of non-payment, etc. | Dataset | NA | Spanish | 2024-03 | NA | Regulatory reports | Automotive credit | NA | NA | |||||
| Créditos grupales | Banco de México (LISF) | Households | On-site | Bimonthly | 2011-04 to 2023-12 | Households | MX | Bank loans to individuals. This database includes microdata. Its characteristics such as: interest rate, term, credit amount, credit balance, payments, maturity, probability of non-payment, etc. | Dataset | NA | Spanish | 2024-03 | NA | Regulatory reports | Personal credits, Group credits, Non-revolving credits | NA | NA | |||||
| Créditos hipotecarios | Banco de México (LISF) | Households | On-site | Monthly | 2009-07 to 2023-11 | Households | MX | Mortgages to households. This database includes microdata of banking mortgages, their characteristics as: type of interest rate, interest rate, maturity, default probability, type of house, socioeconomic information of the client. | Dataset | NA | Spanish | 2024-03 | NA | Regulatory reports | Mortgages, Loans, Credit Risk, DTI, LTV, Households | NA | NA | |||||
| Créditos nómina | Banco de México (LISF) | Households | On-site | Bimonthly | 2011-04 to 2023-12 | Households | MX | Payroll bank loans. This database includes microdata. Its characteristics such as: interest rate, term, credit amount, credit balance, payments, maturity, probability of non-payment, etc. | Dataset | NA | Spanish | 2024-03 | NA | Regulatory reports | Payroll credits, Personal credits, Non-revolving credits | NA | NA | |||||
| Créditos otros | Banco de México (LISF) | Households | On-site | Bimonthly | 2011-04 to 2023-12 | Households | MX | Bank loans to individuals. This database includes microdata. Its characteristics such as: interest rate, term, credit amount, credit balance, payments, maturity, probability of non-payment, etc. | Dataset | NA | Spanish | 2024-03 | NA | Regulatory reports | Personal credits, Non-revolving credits | NA | NA | |||||
| Créditos personales | Banco de México (LISF) | Households | On-site | Bimonthly | 2011-04 to 2023-12 | Households | MX | Bank loans to individuals. This database includes microdata. Its characteristics such as: interest rate, term, credit amount, credit balance, payments, maturity, probability of non-payment, etc. | Dataset | NA | Spanish | 2024-03 | NA | Regulatory reports | Personal credits, Non-revolving credits | NA | NA | |||||
| Debts write-offs and assignments (M_CREANCE) | Banque de France | Interbank code / SIREN | CASD | 2010-2021 | Credit Institutions | France | Waiver and assignment of receivables data (the SURFI M_CREANCE table) lists the data needed to calculate the flow statistics required by European Bank Regulation ECB/2013/40 of October 18th, 2013. The impact of waivers, reductions or transfers of receivables to third parties must be removed from these flow calculations. The corresponding adjustments must be broken down in accordance with the breakdowns of the monthly monetary balance sheet. This information complements the data reported under European Central Bank Regulation (EC) No 1075/2013 of October 18, 2013 concerning statistics on the assets and liabilities of special purpose vehicles (ECB/2013/40). | Dataset | 10.34724/CASD.588.4259.V2 | French | NA | Electronical | INEXDA | NA | ||||||||
| Depreciations on doubtful debts (M_CREDOUT) | Banque de France | Interbank code / SIREN | CASD | 2010-2021 | Credit institutions | France | Provisions for doubtful receviables data (the SURFI M_CREDOUT table) lists depreciations in euros and foreign currencies on doubtful receivables. | Dataset | 10.34724/CASD.591.4262.V2 | French | NA | Electronical | INEXDA | NA | ||||||||
| Economic Expectations Survey | Banco Central de Chile | Economic Expectations Survey | Online | Panel: monthly | 2012 to 2024 | Economist | Chile | Economic Expectations Survey | Dataset | Spanish | April 2012 | NA | Reporting agents file their reports electronically via the web application | Expectation Survey | INEXDA | NA | https://www.bcentral.cl/contenido/-/detalle/estudio-economico-estadistico-n-82 | |||||
| Elements for calculating apparent interest rates on sight and repayable deposits, overdrafts and similar operations (M_INTDEPO) | Banque de France | Interbank code / SIREN | CASD | 2010-2021 | Credit institutions | France | Components for calculating apparent interest rates/demand deposits, repayable deposits, overdrafts and similar operations data (the SURFI M_INTDEPO table) contains the information needed to calculate interest rate statistics on outstanding amounts required by Regulation ECB/2013/34 of 24 September 2013. The reporting establishments provide the interest flows and average amounts outstanding relating to credit and deposit transactions with households and non-financial corporations which are resident in the euro area as counterparts. The M_INTDEPO table is used for statistical purposes to enable the calculation of interest rates on outstanding amounts which are consistent over time and which reflect actual changes in the rates charged by the establishment each month. In other words, the interest flows and outstanding amounts should only reflect the activity for the month under review. | Dataset | 10.34724/CASD.592.4263.V2 | French | NA | Electronical | INEXDA | NA | ||||||||
| Elements of apparent interest rates on outstanding amounts calculation (M_INTENCO) | Banque de France | Interbank code / SIREN | CASD | 2010-2021 | Credit institutions | France | Elements for calculating apparent interest rates on outstanding sums (the SURFI M_INTENCO table) contains the information needed to calculate the statistics on interest rates on outstanding amounts required by Regulation ECB/2013/34 of 24 September 2013. The reporting establishments provide the interest flows and average amounts outstanding relating to credit and deposit transactions with households and non-financial corporations resident in the euro area as counterparts. The M_INTENCO table is used for statistical purposes to enable the calculation of interest rates on outstanding amounts which are consistent over time and which reflect actual changes in the rates charged by the establishment each month. In other words, the interest flows and outstanding amounts should only reflect the activity for the month under review. | Dataset | 10.34724/CASD.593.4264.V2 | French | NA | Electronical | INEXDA | NA | ||||||||
| EU labour force survey - Eurostat (europa.eu) | Eurostat | Persons / Households | Download | Quarterly and yearly | 1983 to 2022 | Persons living in private households | EU plus some EFTA/other countries | Quarterly survey on labour participation of people aged 15 and over and on people outside the labour force | Dataset | 10.2907/LFS1983-2022 | English | January 2024 | Yes | National surveys | Employment, unemployment, working time, education | INEXDA | https://ec.europa.eu/eurostat/web/microdata/publications | |||||
| EU statistics on income and living conditions - Eurostat (europa.eu) | Eurostat | Persons / Households | Download | Yearly and panel | 2004 to 2022 | Persons living in private households | EU plus some EFTA/other countries | Yearly survey on income, poverty, social exclusion, and living conditions | Dataset | 10.2907/EUSILC2004-2022V1 | English | October 2023 | Yes | National surveys | Income, poverty, social exclusion, living conditions | INEXDA | https://ec.europa.eu/eurostat/web/microdata/publications | |||||
| EU survey on gender-based violence - Eurostat (europa.eu) | Eurostat | Persons | Download | Pilot | 2021 | Persons aged 18 to 74 living in private households | 17 EU countries | Survey on gender-based violence against women and other forms of inter-personal violence | Dataset | English | January 2024 | Yes | National surveys | Gender-based violence | INEXDA | https://ec.europa.eu/eurostat/web/microdata/publications | ||||||
| European Community household panel - Eurostat (europa.eu) | Eurostat | Persons / Households | Download | Yearly | 1994 to 2001 | Persons living in private households | 13 EU countries plus UK | Yearly survey on income, poverty, social exclusion, and living conditions | Dataset | English | 2004 | Yes | National surveys | Income, poverty, social exclusion, living conditions | INEXDA | https://ec.europa.eu/eurostat/web/microdata/publications | ||||||
| European health interview survey - Eurostat (europa.eu) | Eurostat | Persons | Download | Every 6 years | 2007 to 2019 | Persons aged 15+ living in private households | Most EU plus some EFTA/other countries | Survey on health status, health care use, and health determinants | Dataset | English | June 2023 | Yes | National surveys | Health | INEXDA | https://ec.europa.eu/eurostat/web/microdata/publications | ||||||
| European road freight transport survey - Eurostat (europa.eu) | Eurostat | Tractive vehicles | Download | Yearly | 2011 to 2020 | Vehicles used for road freight transport | Most EU plus some EFTA/other countries | Yearly survey on road freight transport | Dataset | English | January 2024 | Yes | National surveys | Transport, road freight | INEXDA | https://ec.europa.eu/eurostat/web/microdata/publications | ||||||
| External position of banks (AUSTA – Auslandsstatus) | Deutsche Bundesbank | NA | On-site | NA | NA | NA | NA | NA | Dataset | 10.12757/BBk.Austanat22v1 | English | May 2023 | NA | NA | NA | INEXDA | NA | NA | ||||
| External position of banks (AUSTA – Auslandsstatus) | Deutsche Bundesbank | NA | On-site | NA | NA | NA | NA | NA | Dataset | 10.12757/BBk.Austafil22v1 | English | May 2023 | NA | NA | NA | INEXDA | NA | NA | ||||
| External position of banks (AUSTA – Auslandsstatus) | Deutsche Bundesbank | NA | On-site | NA | NA | NA | NA | NA | Dataset | 10.12757/BBk.Austacon22v1 | English | May 2023 | NA | NA | NA | INEXDA | NA | NA | ||||
| Farm structure survey - Eurostat (europa.eu) | Eurostat | Agricultural holdings | Download | Every 3 to 4 years | 2016 | European farms (agricultural holdings) | 14 EU countries | Survey/census on agricultural holdings | Dataset | English | September 2021 | Yes | National surveys | Farms, agricultural holdings | INEXDA | https://ec.europa.eu/eurostat/web/microdata/publications | ||||||
| Financial household survey | Banco Central de Chile | Households | Online | Panel: triannual | 2007 to 2021 | Households | Chile | Survey that gather financial information of households | Dataset | Spanish | October 2022 | NA | Face-to-face survey | Household Finance Survey | INEXDA | NA | Documento de Trabajo N° 974: Use of Financial Instruments among the Chilean households - Banco Central de Chile (bcentral.cl) | |||||
| Financial literacy and digitalization of small businesses in Italy (IAFDI) | Banca d'Italia | Firms | Download | Cross-section | 2021 | Firms with over 9 employees | IT | The survey is part of an initiative promoted by the Italian G20 Presidency for the Global Partnership for Financial Inclusion (GPFI), aimed at collecting internationally harmonized data on the financial and digital skills of small and medium-sized enterprises. | Dataset | English | November 2022 | Sample | Computer-Assisted Telephone Interviewing | Non-financial corporations | Compiles INFE (OECD) | https://www.bancaditalia.it/pubblicazioni/qef/2022-0724/index.html | ||||||
| Foreign capital in France - Stocks | Banque de France | SIREN | CASD | Yearly | 2000-2021 | Companies international activities | France | Data on Foreign social and real estate capital in France | Dataset | 10.34724/CASD.576.5104.V1 | French | NA | Electronical | INEXDA | NA | |||||||
| Foreign portfolio investment microdata (ICE) | Banco de España | Anonymised tax identification number (NIF) | On-site/Remote | Panel: quarterly | 2013 to 2023 (assets), 2019 to 2023 (liabilities) | PI covers the population of Spanish resident holders of marketable securities issued by non-residents and Spanish resident issuers whose securities are held by non-residents | PI assets: holders resident in Spain and issuers or international organisations resident in the rest of the world PI liabilities: holders or international organisations resident in the rest of the world and issuers resident in Spain | BELab provides the following portfolio investment (PI) data: - PI assets, which are Spanish residents’ holdings of marketable securities (listed shares, investment fund shares or units and debt securities)1 issued by non-residents. - PI liabilities, which are non-residents’ holdings of marketable securities issued by residents in Spain. | Dataset | 10.48719/BELab.ICE1323_01 | English | May 2023 | Sample | Banco de España. Diverse sources of Balance of Payments/International Investment Position information. | Investment Position | INEXDA | NA | List of projects in BELab | ||||
| Foreign status of non-banks (AUSTANB) | Deutsche Bundesbank | NA | On-site | Monthly: Claims and liabilities arising from financial operations with foreign banks, and with affiliated and other foreign non-banks. Quarterly: Claims and liabilities vis-à-vis foreigners arising from derivative financial instruments. | 2000-06 / 2018-12 | NA | World | The foreign status of non-banks shows all claims and liabilities of non-banks vis-à-vis foreigners arising from financial operations, transactions in goods and services, and derivative financial instruments on a monthly basis broken down by countries, currencies and maturities. Special attention is paid on whether a foreign enterprise is affiliated and what type of participating interest exist. | Dataset | 10.12757/Bbk.AUSTANB.0018.01.01 | English | December 2020 | Complete inventory above the reporting limit | NA | Foreign status, non-banks, financial credit, trade credit | INEXDA | NA | Biewen, E. and Stahl, H. (2020). Foreign status of non-banks (AUSTANB), Data Report 2020-01 – Metadata Version 1, Deutsche Bundesbank, Research Data and Service Centre. | ||||
| Foreign Trade of Mexican Merchandise | Banco de México (EconLab) | Exports and Imports | On-site, Remote | Panel: monthly | 1993-01 to last month | All exports and Imports by firm in Mexico | MX | Statistical import and export values of merchandise trade by Mexican companies, by product type, country, and transaction value, among others. | Dataset | NA | Spanish | 2018 | NA | Collected for statistical generatio | Imports, exports, companies, customs,transactions, product, FTA, tariff item, trade balance,merchandise, foreign trade. | EconLab-03 | ||||||
| French capital abroad - Stocks | Banque de France | SIREN | CASD | Yearly | 2000-2020 | Companies international activities | France | Data on French social and real estate capital abroad | Dataset | 10.34724/CASD.575.5105.V1 | French | NA | Electronical | INEXDA | NA | |||||||
| French debt instruments abroad and foreign debt instruments in France - Inventories | Banque de France | SIREN | CASD | Yearly | 2000-2021 | Companies international activities | France | Trade/financial receivables and payables of non-financial companies abroad and foreign debt instruments in France | Dataset | 10.34724/CASD.580.5106.V1 | French | NA | Electronical | INEXDA | NA | |||||||
| French direct investment flows abroad and foreign direct investment flows in France | Banque de France | SIREN | CASD | Yearly | 2000-2021 | Companies international activities | France | Direct investment flows and revenues abroad and foreign direct investment flows in France | Dataset | 10.34724/CASD.579.5114.V1 | French | NA | Electronical | INEXDA | NA | |||||||
| Futuros y Forwards | Banco de México (LISF) | Companies (NFC), Banks, Brokerage houses, Sofomes, Households | On-site | Monthly | 2015-07 to 2024-02 | Companies (NFC), Banks, Brokerage houses, Sofomes, Households | MX | This database includes microdata, at company level, of outstanding future and forward derivative contracts; as well as, their characteristics as underlying assets, prices and maturities. | Dataset | NA | Spanish | 2024-03 | NA | Regulatory reports | Derivatives, Futures, Forwards | NA | NA | |||||
| General Direct Declarants (DDG) declarations - Statement of Economic Transactions with non-residents (excluding insurance) - 2003-2012 | Banque de France | SIREN | CASD | Monthly | 2003-2012 | Companies international activities | France | The purpose of the Record of Economic Transactions (RET) is to record, on a monthly basis and for the purpose of balancing payments, all economic transactions carried out by General Direct Declarants (DDG) with non-residents (except for purchases and sales of goods, which are declared to the French customs services). | Dataset | 10.34724/CASD.577.4249.V1 | French | NA | Electronical | INEXDA | NA | |||||||
| General Direct Declarants (DDG) declarations - Statement of Economic Transactions with non-residents (excluding insurance) - Since 2013 | Banque de France | SIREN | CASD | Monthly | 2013-2021 | Companies international activities | France | The purpose of the Record of Economic Transactions (RET) is to record, on a monthly basis and for the purpose of balancing payments, all economic transactions carried out by General Direct Declarants (DDG) with non-residents (except for purchases and sales of goods, which are declared to the French customs services). It mainly includes data flows on the trade of services, primary incomes (payment of dividends, salaries) and secondary incomes (payment of fines), and direct investments. It excludes transactions in securities, which cannot be declared by the DDGs, as well as movements in loans - borrowings, current accounts and trade credits, the outstanding sums of which are included in the quarterly EFI and ECO declarations. The dates on which the respective rights in economic exchanges were established take priority. The operations are reported in terms of transactions rather than payments, in accordance with the principles of the 6th International Monetary Fund (IMF) manual. The report must be based on the company's accounting system. | Dataset | 10.34724/CASD.578.5185.V1 | French | NA | Electronical | INEXDA | NA | |||||||
| General Government Debt Microdata (DSP) | Banco de España | Anonymised tax identification number (NIF) and anonymised Transaction code | On-site/Remote | Panel: annual | 2018 to 2022 | Information on Spanish general government debt according to the methodology of the Excessive Deficit Protocol (EDP). | Public units belonging to the Spanish Public Administration sector. | Debt of units belonging to the General Government debt in the form of debt securities, loans granted by resident and non-resident entities and deposits (euro coins in circulation). | Dataset | 10.48719/BELab.DSP1822_02 | English | September 2023 | Universe | The data come from the following sources: Central Credit Register, Ministry of Finance and Public Function (MINHAFP), the statement of economic transactions and balances of liabilities abroad (Circular 4/2012, Banco de España), the BEV Database of Securities Issues, and BIV (Integrated Securities Database) of the Statistics Department of the Banco de España, the General Secretariat of the Treasury and Financial Policy and the General Comptroller of the State Administration (IGAE). | Public sector, Debt | INEXDA | NA | List of projects in BELab | ||||
| Group balance sheets - French standards | Banque de France | SIREN | CASD | Monthly | 1989-2022 | Non-financial companies | France | Company report data are statistics communicated by company groups via a tax return and, for some, include additional sheets so the Banque de France can assign BDF ratings to the company groups and their subsidiaries. These are accounting item data, corresponding to the scope of consolidation. Corporate account details are entered by the analyst and, on the group level, the consolidated accounts correspond to an aggregation of these company accounts. | Dataset | 10.34724/CASD.567.4812.V1 | French | NA | Electronical | INEXDA | NA | |||||||
| Group balance sheets - IFRS standards | Banque de France | SIREN | CASD | Monthly | 2004-2022 | Non-financial companies | France | Company report data are statistics communicated by companies via a tax return and, for some, include additional sheets so the Banque de France can assign BDF ratings to the company groups and their subsidiaries. These are accounting item data, corresponding to the scope of consolidation. Corporate account details are entered by the analyst and, on the group level, the consolidated accounts correspond to an aggregation of these company accounts. | Dataset | 10.34724/CASD.568.4808.V1 | French | NA | Electronical | INEXDA | NA | |||||||
| Harmonised European time use surveys - Eurostat (europa.eu) | Eurostat | Persons / Households | Download | Every 10 years | 2010 | Persons living in private households | 14 EU countries plus some EFTA/other countries | Survey on time use | Dataset | English | September 2021 | Yes | National surveys | Time use | INEXDA | https://ec.europa.eu/eurostat/web/microdata/publications | ||||||
| Harmonized_Central_Credit_Responsibility | Banco de Portugal | Firm / Tina (Tax Identification Number Anonymized) Bank / Bina (Bank Identification Number Anonymized) | On-site; Remote | Longitudinal | Jan 2009 - Dec 2022 | Banks, saving banks, mutual agricultural credit banks, financial credit institutions, leasing companies, factoring companies, securitization companies, mutual guarantee societies, and financial companies for credit acquisitions. | Portugal | The Portuguese Central Credit Register (with the database prior to August 2018 known as the Old CRC) underwent a major revision in September, 2018 and was replaced by a new reporting system (known as the New CRC) which started to collect granular credit data at the instrument level, as framed by ECB’s Regulation (EU) 2016/867 of 18 May 2016 and Banco de Portugal’s Instruction No. 17/2018. The Harmonized Central Credit Responsibility Database (HCRC) aims to build compatible series between the Old CRC and the New CRC by selecting a set of most relevant variables and adopting necessary steps to harmonize the data. | Dataset | 10.17900/HCRC.Jun2023.V1 | English | June 2023 | NA | SelfAdministeredQuestionnaire.WebBased | Old CRC; New CRC; Revision; Loan-by-loan; Exposure-by-exposure; Harmonized data; Firm level; Bank-firm level | INEXDA | Is new version of DOI: 10.17900/HCRC.Jun2022.V1 | Harmonized Central Credit Responsibility Database (HCRC) - Data Manual, Banco de Portugal | ||||
| Historical Archive of Credit in Italy (ASCI) | Banca d'Italia | MFIs / ABI | Delivery | Panel: annual | 1890 - 1973 | MFIs | IT | The Italian banks database (Archivio Storico del Credito in Italia - ASCI) includes harmonized end-year (annual) balance sheet data for approximately 2,600 banks operating in Italy between 1890 and 1973. It includes more than 41,000 balance sheets. | Dataset | English | November 2018 | Total population | Analysis of reporting agents submissions | Banks, Balance Sheet | https://www.bancaditalia.it/pubblicazioni/quaderni-storia/2016-0036/QSE-36-en.pdf?language_id=1 | |||||||
| Historical_Series_PT_Banking_Sector | Banco de Portugal | Bank / Bina (Bank Identification Number Anonymized) | On-site; Remote | Longitudinal | 1990-2022 | Banking Groups and stand-alone Institutions | Portugal | SLB reports, on a consolidated basis, a wide range of series on bank’s financial statements (i.e., balance sheet, income statement, and solvency), loans to customers, interest rates, human resources, branch network, and payment systems. | Dataset | 10.17900/SLB.Oct2023.V1 | English | December 2023 | NA | CompilationSynthesis | Bank; Balance-Sheet; Income Statement; Solvency; Loans; Interest Rates; Human Resources; Branches; Payment Systems | INEXDA | Is new version of DOI: 10.17900/SLB.Oct2022.V1 | Historical Series of the Portuguese Banking Sector - Researchers Manual, Banco de Portugal | ||||
| Household budget survey - Eurostat (europa.eu) | Eurostat | Persons / Households | Download | Every 5 years | 2010 to 2020 | Persons living in private households | Most EU plus UK | Survey on household expenditure on goods and services | Dataset | English | December 2023 | Yes | National surveys | Household budget, household expenditure | INEXDA | https://ec.europa.eu/eurostat/web/microdata/publications | ||||||
| Household Finance and Consumption Survey (HFCS) | Banca d'Italia | Households / internal hh id | Download | Panel: less frequent than annual | 2010; 2014; 2017 | Households | IT | The Household Finance and Consumption Survey (HFCS) is a harmonized sample survey on euro-area households’ wealth, income and consumption carried out by the national central banks. The Italian data are from the Survey on Household Income and Wealth and have been suitably harmonized (e.g. incomes are reported as gross values, including taxes and social security contributions). | Dataset | English | February 2017 | Rotating Panel of households | Interviews | Households | Is compiled by SHIW | NA | ||||||
| Housing Loans Micro-Data for Mexico | Banco de México (EconLab) | Loans | On-site, Remote | Panel: monthly | 2009-07 to last month | All housing loans in Mexico | MX | The housing loans dataset includes all mortgages granted in Mexico by financial institutions. | Dataset | NA | Spanish | 2018 | NA | Regulatory reports | Loans, credits, mortgages, financial institutions, interest, amount, Banca múltiple, Banca de desarrollo. | EconLab-10 | ||||||
| Incentives_Systems | Banco de Portugal | Project / Anonymized Project Number | On-site; Remote | CrossSection | 2007-2020 | Projects submitted to the incentives systems funded by the European Regional Development Fund (ERDF) within the QREN (2007-2013) framework and the European Regional Development Fund and European Social Fund (ESF) within the PT2020 (2014-2020) framework. | Mainland Portugal | SI Database includes information for projects submitted to the incentives systems funded by the European Regional Development Fund (ERDF) within the QREN (2007-2013) framework and the European Regional Development Fund and European Social Fund (ESF) within the PT2020 (2014-2020) framework. The data include information on both approved and non-approved applications. | Dataset | 10.17900/SI.Nov2023.V1 | English | November 2023 | NA | Observation | Application; Incentives Systems; Beneficiary; QREN; PT2020 | INEXDA | Is new version of DOI: 10.17900/SI.Apr2021.V1 | Incentives Systems - Researchers Manual, Banco de Portugal | ||||
| Individual bank balance sheets for statistical purposes (IBBaSS) | Banca d'Italia | MFIs / internal bank id | REX | Panel: monthly | 2003-01 - | MFIs | IT | The database on banks’ individual balance sheets (IBBaSS) contains end-of-period outstanding amounts of the assets and liabilities of credit institutions operating in Italy, broken down by sector and place of residence of the counterparty, starting in January 2003. The balance sheet items are broken down by original maturity, instrument or purpose | Dataset | English | November 2023 | Total population | Electronical | Banks, Balance sheet | Is referenced by ECB_IBSI, Is supplemented by BANCI | NA | ||||||
| Insolvency data of non-financial corporations (Ida) | Deutsche Bundesbank | NA | On-site | on a daily basis | 2007 / 2022-06 | Balance sheet data of non-financial enterprises reported to the Deutsche Bundesbank in the framework of the refinancing business. | Germany (DE) | The Ida database contains information about the insolvency proceedings of non-financial corporations that are collected for the credit assessment process in the In-house credit assessment system (ICAS) of Deutsche Bundesbank. It is available from 2007 on for research purposes and provides information on the date, the reasons and the actual result of insolvency proceedings. The data can be matched via a corresponding identifier with the Ustan and JANIS data in order to get additional information concerning the financial statements of the corporations. | Dataset | 10.12757/Bbk.Ida.0722.04.04 | English | August 2022 | Ida basically consists of non-financial corporations with insolvency proceedings which are used in the framework of the credit assessment of the Deutsche Bundesbank. In addition, Ida contains minimum number of financial corporations which are either parents of groups or were previously non-financial corporations. | NA | Balance sheet, Enterprise, Insolvency Data, Non-financial Corporations, Refinancing Business | INEXDA | NA | Biewen, E., Schultz, S. and Ch. Trapani-Liu (2022). Insolvency data of non-financial firms (Ida), Data Report 2022-12 – Metadata Version 4. Deutsche Bundesbank, Research Data and Service Centre. | ||||
| Interbank transactions with non-resident credit institutions ((ITB_nRESI - EC) | Banque de France | Interbank code / SIREN | CASD | Quarterly | 2010-2022 | Credit Institutions | France | The ITB_nRESI table lists interbank operations undertaken with non-resident credit institutions, excluding related receivables and payables. | Dataset | 10.34724/CASD.606.4988.V1 | French | NA | Electronical | INEXDA | NA | |||||||
| Interbank transactions with resident credit institutions (ITB_RESID - EC) | Banque de France | Interbank code / SIREN | CASD | 2010-2021 | Credit Institutions | France | The SURFI ITB_RESID table lists interbank operations with resident credit establishments, excluding related receivables and payables. Doubtful receivables and subordinated loans are shown net of provisions, including related receivables. | Dataset | 10.34724/CASD.607.4989.V2 | French | NA | Electronical | INEXDA | NA | ||||||||
| Interbank transactions with resident credit institutions (ITB_RESID - EI) | Banque de France | Interbank code / SIREN | CASD | Quarterly | 2010-2021 | Securities, Investment | France | The SURFI ITB_RESID table lists interbank transactions with resident credit institutions (securitization undertakings and investment firms), excluding related receivables and payables. Doubtful receivables and subordinated loans are shown net of provisions, including related receivables. | Dataset | 10.34724/CASD.629.4301.V1 | French | NA | Electronical | INEXDA | NA | |||||||
| Interest rates for new aggregated contracts (M_INTNOUA) | Banque de France | Interbank code | CASD | 2010-2023 | Credit institutions | France | Aggregated new contract interest rates data (the M_INTNOUA table) lists the interest rates on new contracts in euros concluded with non-financial companies, sole traders, individuals and non-profit establishments serving households resident in France or non-resident EMUM (Member States of the monetary union). This document will be used by the Banque de France to compile the interest rate statistics on new contracts required by European Central Bank Regulation ECB/2013/34 of September 24, 2013. | Dataset | 10.34724/CASD.613.4997.V2 | French | NA | Electronical | INEXDA | NA | ||||||||
| Italian Foreign Trade | Banca d'Italia | Product / SITCA 4 digits | Download | Cross-section | 1862 - 1950 | Products | IT | The database collects Italy's import-export data towards the main trading partners from 1862 to 1950. The reconstruction produces homogeneous series, obtained through reclassification according to the international nomenclature SITC (Standard International Trade Classification), of over 6,000 categories of products detected by Italian Customs | Dataset | Italian | July 2013 | Total population | Historical reconstruction | Trade credit and advances | https://www.bancaditalia.it/pubblicazioni/collana-storica/statistiche/statistiche-04/CSBI-statistiche-04.pdf?language_id=1 (italian only) | |||||||
| Labour force survey - Eurostat (europa.eu) | Eurostat | Persons / Households | Public use files | Quarterly and yearly | 2004 to 2013 | Persons living in private households | 23 EU countries | Quarterly survey on labour participation of people aged 15 and over and on people outside the labour force | Dataset | English | 2018 | Yes | National surveys | Employment, unemployment, working time, education | INEXDA | https://ec.europa.eu/eurostat/web/microdata/publications | ||||||
| Land Registry of the Administration and Disposal of Assets Service | Banco de México (EconLab) | Real estate | On-site, Remote | Ad hoc | 2000-01 to 2019-08 | Alienation of real estate for the period of time | MX | Microdata of managed, protected properties, covered by the SAE. It registers geographic, cadastral and associated judicial process information | Dataset | NA | Spanish | 2020 | NA | Reports | Housing, Registry, Alienation. | EconLab-04 | ||||||
| Loans granted to companies by banks (SCR) | Banque de France | Interbank code / Sort code / SIREN | CASD | Monthly | 2006-2023 | Non-financial companies | France | Credit issued to companies by banks data is a risk database. The Central Risk Service (SCR) of the Banque de France is responsible for centralizing the loans granted by credit institutions and investment firms monthly, as soon as they reach, per declarable beneficiary, per institution, whatever the location or type of declaration, the threshold of €25 million set by the Banque de France. | Dataset | 10.34724/CASD.572.4813.V1 | French | NA | Electronical | Risk base, Loan, Legal category, Reporting threshold, Type of company | INEXDA | NA | ||||||
| Markets in Financial Instruments Directive (MiFID) data | Deutsche Bundesbank | NA | On-site | NA | NA | NA | NA | NA | Dataset | 10.12757/BBk.MiFID.2008-2017.02 | English | July 2021 | NA | NA | NA | INEXDA | NA | NA | ||||
| MFI-Zinsstatistik (ZISTA) | Deutsche Bundesbank | NA | On-site | NA | NA | NA | NA | NA | Dataset | 10.12757/BBk.ZISTA.03Q1-23Q2.01.01 | English | August 2023 | NA | NA | NA | INEXDA | Is new version of 10.12757/BBk.ZISTA.03Q1-22Q4.01.01 | NA | ||||
| Microdata from Survey on Business Activity (EBAE) | Banco de España | Anonymised Internal code | On-site/Remote | Panel: quarterly, annual | 2020T4 to 2022T2 | Qualitative information on the evolution of the activity of a sample of non-financial corporations, combined with quantitative indicators of the CBI. | Spanish non-financial companies | The Banco de España, in order to obtain information on the evolution of economic activity, as well as to provide a better understanding of the impact of the COVID-19 crisis on the Spanish business sector, has designed a brief questionnaire to be distributed to a sample of companies selected by the Banco de España's Central Balance Sheet Data Office. | Dataset | 10.48719/BELab.EBAE20T422T2 | English | October 2022 | Sample | Quarterly survey of a sample of Spanish non-financial corporations in order to obtain qualitative information on the evolution of economic activity. These data have been joined to a set of variables of the companies surveyed from the information available in the CBI. | Business activity | INEXDA | NA | List of projects in BELab | ||||
| Microdata on consolidated non-financial corporate groups (CBC) | Banco de España | Tax identification number (NIF) | On-site/Remote | Panel: annual | 2008 to 2022 | Economic and financial information of consolidated non-financial spanish groups | Non-financial corporate groups whose parent companies are domiciled in Spain | Microdata available at the Central Balance Sheet Data Office on consolidated groups. The Banco de España Central Balance Sheet Data Office is a service that analyses the economic and financial information of Spanish non-financial groups, based on the information provided by the Spanish Association of Mercantile and Property Registrars (CORPME), which collaborates with BELab, and the Spanish National Securities Market Commission (CNMV). | Dataset | 10.48719/BELab.CBC0822_01 | English | December 2023 | Sample | The CNMV for listed non-financial groups and obligatory filings of consolidated annual accounts in mercantile registries (CBB database) under the agreement entered into with CORPME. | Non-financial goups, Balance sheets | INEXDA | NA | List of projects in BELab | ||||
| Microdata on debt securities issuers (BEV) | Banco de España | Anonymised tax identification number (NIF) and ISIN code | On-site/Remote | Panel: monthly | 01/2010 to 06/2023 | Spanish debt securities issuances and issuers | Issues in Spain by residents and Issues abroad by residents | This is a security-by-security microdata database of fixed-income issues in Spain (issued by both resident and non-resident issuers) and abroad (issued by resident issuers and their non-resident subsidiaries) The data offered in BELab are part of the financial market data of the Banco de España’s Statistics Department. | Dataset | 10.48719/BELab.BEV0110_0623_01 | English | October 2023 | Universe | The institution’s internal sources, the CNMV, the information available on the Bolsas y Mercados Españoles website, corporate reports, other information available on isuing firms’ and international stock markets’ websites | Issues, issuers | INEXDA | NA | List of projects in BELab | ||||
| Microdata on individual enterprises (CBI) | Banco de España | Anonymised tax identification number (NIF) | On-site/Remote | Panel: annual | 1995 to 2022 | Sample of non-financial companies resident in Spain with coverage exceeding 50% of GVA (Gross Value Added) and employment | CBSO Spanish non-financial corporations | Microdata available at the Central Balance Sheet Data Office on individual enterprises. The Banco de España Central Balance Sheet Data Office is a service that analyses the economic and financial information of Spanish non-financial corporations and groups, including both that directly contributed by the reporting firms and that provided by the Spanish Association of Mercantile and Property Registrars (CORPME), which collaborates with BELab. | Dataset | 10.48719/BELab.CBI9522_01 | English | December 2023 | Sample | The data come from the mandatory deposits of annual accounts in the Mercantile Registries, on the basis of the Agreement signed between the Banco de España and CORPME. Analytical variables are offered, constructed by the Central Balance Sheet Data Office on the basis of the basic information in the annual accounts. | Non-financial corporations, Balance sheets | INEXDA | NA | List of projects in BELab | ||||
| Microdata on Loans from CCR and Economic Indicators from Central Balance Sheet Data Office (CIR_CBI) | Banco de España | Anonymised internal debtor and loan codes, and anonymised tax identification number (NIF) | On-site/Remote | Panel: annual | 2016 to 2022 | Two different sets of information are provided. The first group consists of non-financial companies resident in Spain from the CB that have loans declared to the CIR. The second group consists of CB companies that do not have loans declared to the CIR. The attribute ""CIR_data"" allows distinguishing between these two sets of companies. | CBSO Spanish non-financial corporations | The CIR_CBI microdata constitute a database on companies resulting from combining the loans, transaction by transaction, to legal persons declared to the Banco de España's Central Credit Register (CIR) by the reporting institutions, with a set of economic and financial ratios calculated by the Central Balance Sheet Data Office (CB) on the basis of the annual accounts filed by companies with the Mercantile Registries. | Dataset | 10.48719/BELab.CIR_CBI_1622_01 | English | January 2024 | Sample | Information declared according to Circular 1/2013 of the Bank of Spain regarding the Risk Information Center. - Information derived from the mandatory deposits of annual accounts in the Commercial Registries, based on the Agreement signed between the Bank of Spain and CORPME. | Non-financial companies, loans, risk | INEXDA | NA | List of projects in BELab | ||||
| Microdata on loans to legal persons from the Central Credit Register (CIR) | Banco de España | Anonymised internal debtor and loan codes. | On-site/Remote | Panel: annual | 2016 to 2022 | Information on loans to legal persons | Loans extended to legal persons resident and non-resident in Spain and reported to the CCR by the reporting agents | The CIR microdata constitute a granular, transaction-by-transaction database with information on loans granted by financial institutions to legal persons resident and non-resident in Spain. The data offered form part of the information maintained by the Central Credit Register (CIR) | Dataset | 10.48719/BELab.CIR1622_01 | English | October 2023 | Universe | Banco de España. Information reported in accordance with Banco de España Circular 1/2013 on the Central Credit Register. | loans, legal persons, Risk | INEXDA | NA | List of projects in BELab | ||||
| Microdata on Spanish non-bank Fintech entities (FIN) | Banco de España | Tax Identification Number (NIF) | On-site/Remote | Panel: annual | 2018 to 2021 | Economic-financial information on Spanish non-banks identified as FinTechs | Spanish non-banks identified as FinTechs | A census of Spanish non-banks identified as FinTechs is provided, obtained from various sources, mainly the Spanish Fintech and Insurtech Association (AEFI), Finnovating and the Spanish National Securities Market Commission (CNMV). The file contains just three variables: company name, trade name and Spanish tax identification number (NIF). | Dataset | 10.48719/BELab.FIN1821_01 | English | June 2023 | Sample | direct and voluntary data contributions by reporting firms (CBA database) and obligatory filings of annual accounts in mercantile registries (CBB database) under the agreement entered into with CORPME | Fintech, Balance Sheet | INEXDA | NA | List of projects in BELab | ||||
| Microdata on Sustainability Indicators (CBS) | Banco de España | Tax identification number (NIF) | On-site/Remote | Panel: annual | 2018 to 2021 | Qualitative and quantitative information on a set of sustainability indicators (E-Environmental, S-Social, G-Governance) of the activity of a sample of Spanish non-financial groups, mostly listed groups | Spanish non-financial groups | CBS is a Dataset developed by Central Balance sheet data office containing sustainability indicators (ESG - Environment, Social and Governance) collected from the sustainability reports and Non-Financial Information Statements of Spanish non-financial groups, using international reference standards. | Dataset | 10.48719/BELab.CBS1822_01 | English | October 2023 | Sample | The data are taken from the non-financial statements, sustainability reports and consolidated reports of the sample of selected firms. | Non-financial goups, ESG | INEXDA | NA | List of projects in BELab | ||||
| Microdata on the structures of non-financial corporate groups from the Central Balance Sheet Data Office (GRP) | Banco de España | Tax Identification Number (NIF) and internal identificator | On-site/Remote | Panel: annual | 2021 | Hierarchical relationships between non-financial corporations within consolidated non-financial corporate groups | Non-financial corporate groups whose parent companies are resident in Spain | The microdata on the structure of non-financial corporate groups from the Central Balance Sheet Data Office show the dependency relationships of non-financial companies within consolidated non-financial groups. | Dataset | 10.48719/BELab.GRP2021_01 | English | February 2023 | Sample | Information obtained from the consolidated and individual annual accounts filed with the Mercantile Registries. In the case of listed groups, the information is obtained from the official statements filed with the CNMV, mainly from the annual report. | Group structure | INEXDA | NA | List of projects in BELab | ||||
| Microdatabase Direct investment (MiDi – “Mikrodatenbank Direktinvestitionen”) | Deutsche Bundesbank | NA | On-site | Panel: annual | 1999 - 2021 | NA | NA | A full survey of German inward and outward investment | Dataset | 10.12757/Bbk.MiDi.9921.11.10 | English | October 2023 | NA | Reporting agents file their reports electronically via the ExtraNet of the Deutsche Bundesbank. | NA | INEXDA | Is new version of DOI: 10.12757/Bbk.MiDi.9920.10.09 | Schild, C.-J., Scholz, D., Lipponer, A., Blank, S. (2020): Microdatabase Direct Investment (MiDi) - A full survey of German inward and outward investment. In: German Economic Review 2020, Volume 21, p. 273-311. | ||||
| Money Market Statistical Reporting – MMSR (German Part) | Deutsche Bundesbank | NA | On-site | NA | NA | A MFI has an obligation by the ECB to submit reports, if its total main balance sheet assets relative to the total main balance sheet assets for all euro area MFIs make up more than 0.35%, as of December 31, 2014.4) Under this criterion, 14 MFIs domiciled in Germany are obliged to report. In addition, the MMSR-regulation allows appointing further reporting agents by National Central Banks (NCBs). Deutsche Bundesbank enlarged the set of MFIs with an obligation to report due to the heterogeneous structure of the German banking sector. The enlarged set of MFIs with an obligation to report to Deutsche Bundesbank currently contains 115 institutes domiciled in Germany. Reporting criteria are: – usage of a TARGET2-Payment-Module-Account, – relevant balance sheet assets of more than 1 billion Euro (as of December 31, 2014). Generally, all relevant money market transactions conducted in Euro with the following entities have to be reported: financial corporations (except central banks where the transaction is not for investment purposes), general government or non-financial corporations classified as “wholesale” according to the Basel III LCR framework.5) Reporting agents are required to report all transactions relating to money market instruments booked in their Union and European Free Trade Association (EFTA) -located branches. All transactions contain the following information: information about the attributes identifying the transaction, counterparty information, trading, settlement, and maturity dates, as well as volume and terms of the transaction. For the respective market segments, additional information is reported. Both sides of the trade are reportable if both counterparties are reporting agents, irrespective of whether it is the borrowing or lending party. If both transaction parties report, the transaction shows up twice. | The German part of the MMSR data described in this data report is constituted by reporting agents domiciled in Germany. All eligible money market transactions from those MFIs are subject to report, irrespective of counterparty domicile, which can be in Germany, the Eurozone, or the rest of the world. | The Money Market Statistical Reporting (MMSR) is a transaction-by-transaction dataset about the Euro money market. The collection of data is based on European Central Bank (ECB) regulation. Under this regulation, the 50 biggest Monetary Financial Institutes (MFIs) in the Eurozone are obliged to report money market transactions. The Deutsche Bundesbank provides access to the German subset of the MMSR. In total, this subset currently contains 115 Reporting Agents (including 14 MFIs based upon the ECB criterion). Reporting agents are obliged to report to Deutsche Bundesbank all money market transactions conducted with financial corporations (except central banks where the transaction is not for investment purposes), general government or non-financial corporations classified as “wholesale” according to the Basel III LCR framework. Data is available from July 2016 onwards. Starting in October 2019, the MMSR data will be the base for the Euro Short-Term Rate which represents a new reference rate index by the Eurosystem. | Dataset | 10.12757/BBk.mmsr.201607-202212.01.01 | English | May 2023 | NA | NA | transaction-by-transaction, secured money market, unsecured money market, foreign exchange swaps, FX euro overnight index swaps, EONIA | INEXDA | Is new version of DOI: BBk.mmsr.201607-202206.01.01 (Dataset) | Blaschke, J, Hirsch, C., and Yalcin-Roder, E. (2023). Money Market Statistical Reporting (German Part) (MMSR), Data Report 2023-13 - Metadata Version MMSR-Data-Doc-v4.0. Deutsche Bundesbank, Research Data and Service Centre. | ||||
| Monthly balance sheet statistics (BISTA – Bilanzstatistik) | Deutsche Bundesbank | NA | On-site | NA | NA | NA | NA | NA | Dataset | 10.12757/BBk.BISTA.99Q1-23Q4.01.01 | English | March 2024 | NA | NA | NA | INEXDA | NA | NA | ||||
| Monthly situation (M_SITMENS) | Banque de France | Interbank code / SIREN | CASD | 2010-2022 | Credit Institutions | France | The SURFI M_SITMENS table relates to credit institutions. This document is a summary tracing the monthly activity statement of reporting establishments by category of operation. | Dataset | 10.34724/CASD.618.4995.V1 | French | NA | Electronical | INEXDA | NA | ||||||||
| Monthly Survey of Regional Economic Activity | Banco de México (EconLab) | Companies | On-site, Remote | Panel: monthly | 2009-06 to last month | Come mexican companies | MX | Survey of business information on production, orders, inventories, delivery time, number of workers, among other variables to mexican companies. | Dataset | NA | Spanish | 2023-10 | NA | Surveys | Regional, manufacturing, Non-manufacturing. | EconLab-14 | ||||||
| Network banks counter transactions (M_RESEAUG) | Banque de France | SIREN / Interbank code / Sort code | CASD | 2010-2020 | Credit Institutions | France | Network bank branch operations data (the SURFI M_RESEAUG table) lists the outstanding deposits and credits held by each branch of the reporting establishments. This table will be used by the Banque de France to compile the sample of credit institutions, finance companies and branches required to submit the M_CONTRAN document. | Dataset | 10.34724/CASD.617.4289.V1 | French | NA | Electronical | INEXDA | NA | ||||||||
| New contracts interest rates by branch (M_INTNOUG) | Banque de France | Interbank code / Sort code | CASD | 2010-2014 | Credit Institutions | France | New contract interest rates by branch data (the M_INTNOUG table) lists the interest rates on new contracts in euros concluded with non-financial companies, sole traders, individuals and non-profit establishments serving households resident in France or non-resident EMUM (Member States of the monetary union). This document will be used by the Banque de France to compile the interest rate statistics on new contracts required by European Central Bank Regulation ECB/2013/34 of September 24, 2013. | Dataset | 10.34724/CASD.614.4285.V1 | French | NA | Electronical | INEXDA | NA | ||||||||
| New loans flows and interest rates (IMIR) | Banque de France | MFI Code / Interbank code | CASD | 2010-2023 | Credit institutions | France | Data on flows and interest rates of new loans. | Dataset | 10.34724/CASD.597.5112.V1 | French | NA | Electronical | INEXDA | NA | ||||||||
| New loans to companies (enhanced database of the Enterprise Directorate) | Banque de France | Interbank code / Sort code / SIREN | CASD | Quarterly | 2006-2023 | Non-financial companies | France | New credits to companies data is a matched database, which is enriched with data from the Direction des Entreprises. New contracts are defined as all financial contracts that specify for the first time the interest rate of a deposit or a loan. They also include all cases of renegotiation of deposits or loans with modification of the initial contractual credit or debit conditions. The monthly data on new contracts reported by the credit institutions correspond to contracts concluded irrevocably from their perspective, i.e. at the latest at the time of the final signature of the contract and its recording in the off-balance sheet, during the month in question. This database is completed by matching the French company register numbers (SIREN) of the companies for which the information is collected with the categories of company size and credit risk assigned to these companies by the Companies Directorate. | Dataset | 10.34724/CASD.573.4980.V2 | French | NA | Electronical | INEXDA | NA | |||||||
| OECD/INFE Survey of Adult Financial Literacy Competencies in Germany | Deutsche Bundesbank | NA | Delivery | NA | 2022 | Adults aged between 18 and 79 | Germany (DE) | The survey collects relevant information about respondents’ financial literacy, financial inclusion and socio-demographics. Of particular interest are the financial knowledge, financial behaviour and financial attitudes as well as awareness and holding of financial products of adults in Germany. The questionnaire covers topics such as keeping track of finances, making-ends-meet and longer-term financial planning. Furthermore, numeracy skills within a financial context and basic knowledge of financial concepts (e.g. time-value of money, compound interest or diversification) are tested. The survey is coordinated by the OECD International Network on Financial Education (INFE) and was developed to provide internationally comparable data on financial literacy and financial inclusion. The third wave was carried out in 2019, and in total 1003 telephone interviews were conducted via random digit dialling by BaFin in collaboration with an external survey institute. The anonymized micro data is available as a Scientific Use File. | Dataset | 10.12757/Bbk.FL.2019.01.01 | English | Novmeber 2023 | Random digit dialling, stratified by region | Telephone interview: CATI | Financial Literacy, Knowledge of financial concepts, numeracy skills, financial behaviour, financial attitudes, financial inclusion, product awareness, prooduct holding, socio demographics, International Network on Financial Education | INEXDA | Continues DOI: 10.12757/Bbk.FL.2019.01.01 | Ergebnisse zur Verbraucherbefragung zur finanziellen Bildung von Erwachsenen im Jahr 2022 https://www.bafin.de/SharedDocs/Downloads/DE/Anlage/dl_OECD_Digitalisierung_2023.pdf;jsessionid=302CD83E29C59A0C2D3C6747FA173BB1.internet952?__blob=publicationFile&v=2 | ||||
| Opciones | Banco de México (LISF) | Companies (NFC), Banks, Brokerage houses, Sofomes, Households | On-site | Monthly | 2015-09 to 2024-02 | Companies (NFC), Banks, Brokerage houses, Sofomes, Households | MX | This database includes microdata, at company level, of outstanding options derivative contracts; as well as, their characteristics as underlying assets, strike prices and maturities. | Dataset | NA | Spanish | 2024-03 | NA | Regulatory reports | Derivatives, Options | NA | NA | |||||
| Outstanding amounts and interest rates on outstanding amounts (IMIR) | Banque de France | MFI Code / Interbank code | CASD | 2010-2023 | Credit institutions | France | Data on outstanding sums and interest rates on outstanding sums. | Dataset | 10.34724/CASD.596.5111.V1 | French | NA | Electronical | INEXDA | NA | ||||||||
| Outstanding amounts of electronic money (M_ELECTRO) | Banque de France | Interbank code / SIREN | CASD | 2010-2021 | Credit Institutions | France | The M_ELECTRO table lists the outstanding sums of electronic money held by recharging banks and issued by issuing banks on a quarterly basis. | Dataset | 10.34724/CASD.595.4591.V1 | French | NA | Electronical | INEXDA | NA | ||||||||
| Over-the-counter (OTC) derivatives | Banque de France | Interbank code | CASD | Half-yearly | 2013-2023 | International Banking Statistics | France | Semi-annual survey on over-the-counter derivatives | Dataset | 10.34724/CASD.587.4979.V1 | French | NA | Electronical | INEXDA | NA | |||||||
| Panel on Household Finances (PHF) | Deutsche Bundesbank | NA | Delivery | Panel: less than annual | 19.04.2021 / 09.01.2022 (Forth wave). The forth PHF wave was originally scheduled to take place in 2020 and was postponed to 2021 due to Covid-19 pandemic. | All private households located in Germany except institutional households (in old-age homes, prisons, barracks etc.) | Germany (DE) | The PHF scientific use file (SUF) Wave 4 Version 1.0 data set is the first version of the wave 4 PHF data set and consists of the following five Stata files: PHF_h_wave4_v1_0.dta, PHF_p_wave4_v1_0.dta, PHF_m_wave4_v1_0.dta, PHF_d_wave4_v1_0.dta and PHF_w_wave4_v1_0.dta. | Dataset | 10.12757/BBk.PHF.04.01.01 | English | May 2023 | Stratified random sample based on population registers; oversampling of wealthy households | Telephone interview: Computer-assisted telephone interviews (CATI); Comuter-assisted personal interviews (CAPI) | assets, finance, consumption, demographic situation, credit, intergenerational relations, income, pension, insurance, expectation, private economy, private household, real assets and their financing, other liabilities/credit constraints, private businesses and financial assets, intergenerational transfers and gifts, pension and insurance | INEXDA | Continues DOI: 10.12757/Bbk.PHF.03.03.01 (Dataset) | Deutsche Bundesbank (2023), Vermögen und Finanzen privater Haushalte in Deutschland: Ergebnisse der Vermögensbefragung 2021, Monatsbericht 4/2023, S. 25-58. Knerr, P., Chudziak, N., Kleudgen, M., Steinwede, A. (2022): Methodenbericht Private Haushalte und ihre Finanzen (PHF), 4. Erhebnungswelle 2021 - anonymisierte Fassung. Infas. | ||||
| PPI microdata for Mexico | Banco de México (EconLab) | Products | On-site, Remote | Time series: monthly | 2009-01 to last month | Consumer prices | MX | The Producer Price Index (PPI) micro-data | Dataset | NA | Spanish | 2018 | NA | Collected for statistical generatio | Prices, sources, relatives, CPP, Product category, retailer. | EconLab-08 | ||||||
| Quarterly borrowers statistics (VJKRE – Vierteljährliche Kreditnehmerstatistik) | Deutsche Bundesbank | NA | On-site | quarterly | NA | NA | NA | NA | Dataset | 10.12757/BBk.VJKRE.99Q1-22Q4.01.01 | English | October 2023 | NA | NA | NA | INEXDA | NA | Krodel, T., Krüger, M., and Schäfer, M. (2023). Quarterly borrowers statistics (VJKRE), Data Report 2023-20 – Metadata Version VJKRE-Data-Doc-v3-1. Deutsche Bundesbank, Research Data and Service Centre. | ||||
| Real Estate Market Dynamics. | Banco de México (EconLab) | Real estate | On-site, Remote | Panel: monthly | 2006-03 to last month | Mexican new properties | MX | Construction industry microdata about properties sold by the developers. | Dataset | NA | Spanish | 2019 | NA | Collected by suppliers | Housing, development, developer, real estate, credit, financing, down payment. | EconLab-12 | ||||||
| Replies to ECEIS survey | Banque de France | SIREN | CASD | Yearly | 2011-2021 | Companies international activities | France | The Supplementary Survey on the International Trade of Services (ECEIS) is complementary to the SET SDDG survey (companies which trade more than 30M€ on a service line). It concerns all resident non-financial companies (not subject to SET) and participating in the international trade of services. It aims to quantify the amounts, services and countries of counterparts of the exchanges of services by the companies within its scope. | Dataset | 10.34724/CASD.581.5107.V1 | French | NA | Electronical | INEXDA | NA | |||||||
| Replies to ECO survey | Banque de France | SIREN | CASD | Yearly | 2011-2021 | Companies international activities | France | Responses to the Annual Survey of Commercial Receivables and Payables to Non-residents (ECO) | Dataset | 10.34724/CASD.582.5108.V1 | French | NA | Electronical | INEXDA | NA | |||||||
| Replies to EFI survey | Banque de France | SIREN | CASD | Yearly | 2011-2021 | Companies international activities | France | The annual survey of financial receivables and payables regarding non-residents (EFI) reports Financial Exposure to non-resident counterparties - affiliated and non-affiliated - and the interest accruing on these positions in the case of affiliated counterparties. | Dataset | 10.34724/CASD.583.5109.V1 | French | NA | Electronical | INEXDA | NA | |||||||
| Reportos | Banco de México (LISF) | Companies (NFC), Banks, Brokerage houses, Households | On-site | Daily | 1999-10 to 2024-02 | Companies (NFC), Banks, Brokerage houses, Households | MX | This database includes microdata, at company level, of repo and reverse repo transactions, in domestic and foreign currency, including characteristics as purchase date, repurchase date, repo rate, collateral and counterparty. | Dataset | NA | Spanish | 2024-03 | NA | Regulatory reports | Repo, reverse repo | NA | NA | |||||
| Repurchase agreements (M_PENLIVR) | Banque de France | Interbank code / SIREN | CASD | 2010-2022 | Credit Institutions | France | The SURFI M_PENLIVR table lists repurchase agreements, excluding related receivables and payables, as defined in Article 5 of amended Regulation 89-07. | Dataset | 10.34724/CASD.616.4991.V1 | French | NA | Electronical | INEXDA | NA | ||||||||
| Repurchase agreements and securities lent (PENS_LIVR) - EC | Banque de France | Interbank code / SIREN | CASD | Monthly | 2010-2022 | Credit Institutions | France | Repurchase agreements and securities lent - Credit institutions data (the SURFI PENS_LIVR table) lists repurchase agreements, excluding related receivables and payables, as defined in Article 5 of Banking Regulation Committee Regulation 89-07, and loaned securities. | Dataset | 10.34724/CASD.621.4992.V1 | French | NA | Electronical | INEXDA | NA | |||||||
| Repurchase agreements and securities lent (PENS_LIVR) - EI | Banque de France | Interbank code / SIREN | CASD | Quarterly | 2010-2021 | Securities, Investment | France | Repurchase agreements and loaned securities - Securitization Organizations and Investment Firms data (the SURFI PENS_LIVR table) lists repurchase agreements, as defined in Article 5 of Banking Regulation Committee Regulation 89-07, excluding related receivables and payables, and loaned securities. | Dataset | 10.34724/CASD.630.4302.V1 | French | NA | Electronical | INEXDA | NA | |||||||
| Risks related to international banking activity (ENGAG_INT) | Banque de France | Interbank code / SIREN | CASD | 2010-2021 | Credit Institutions | France | Risks related to international banking data (the SURFI ENGAG_INT table) lists international activities within the overall framework of the company. The scope of prudential consolidation used is established in accordance with the provisions of Regulation 2000-03 of the French Banking and Financial Regulatory Committee (Comité de la Réglementation Bancaire et Financière) relating to supervision based on consolidated financial statements. The financial assets and liabilities reported in the ENGAG_INT statement concern operations carried out with resident and non-resident counterparties (positions based on the immediate counterparty criterion) or whose successful completion depends on the situation of resident and non-resident individuals or private or public entities (positions based on the ultimate risk criterion), in accordance with the methodology for statistics on consolidated bank claims available on the Bank for International Settlements website (https://www.bis.org/statistics/bankstatsguide.htm) | Dataset | 10.34724/CASD.604.4275.V2 | French | NA | Electronical | INEXDA | NA | ||||||||
| Securities holdings by sector - France (Revised) | Banque de France | CASD | Quarterly | 2013-2023 | Holdings and issues of securities | France | The Securities Holding by Sector - France - Revised subcategory is derived from SHS-S (Securities Holdings Statstics - Sector) data, which tracks security holdings by institutional sector. This "France" subcategory contains holdings held in France (regardless of the holding country or issuance of the security) as well as all French bank holdings (regardless of the holding country). | Dataset | 10.34724/CASD.637.5116.V1 | French | NA | Electronical | INEXDA | NA | ||||||||
| Securities holdings by sector - France (security-by-security) | Banque de France | CASD | Quarterly | 2020-2023, 2019-2022, 2018-2021 | Holdings and issues of securities | France | The Securities Holdings by Sector - France subcategory is derived from SHS-S (Securities Holdings Statstics - Sector) data, which tracks security holdings by institutional sector. This "France" subcategory contains holdings held in France (regardless of the country of holding or issuance of the security) as well as all French bank holdings (regardless of the holding country). | Dataset | 10.34724/CASD.639.5110.V1 | French | NA | Electronical | INEXDA | NA | ||||||||
| Securities holdings by sector - France (Totals) | Banque de France | CASD | Quarterly | 2013-2021 | Holdings and issues of securities | France | The Securities Holdings by Sector - France (totals) subcategory is derived from SHS-S (Securities Holdings Statstics - Sector) data, which tracks security-by-security holdings by institutional sector. This "France" subcategory contains holdings held in France (regardless of the holding country or issuance of the security) as well as all French bank holdings (regardless of the holding country). These totals detail outstanding sums in market value and par value by: - reporting country, - holding country and institutional sector, - issuing country and institutional sector, - issuing currency and type of security. | Dataset | 10.34724/CASD.638.4356.V1 | French | NA | Electronical | INEXDA | NA | ||||||||
| Securities Holdings Statistics (SHS-Base plus) | Deutsche Bundesbank | NA | On-site | NA | NA | NA | NA | NA | Dataset | 10.12757/SHSBaseplus.05122212 | English | January 2023 | NA | NA | NA | INEXDA | Is new version of DOI: 10.12757/SHSBaseplus.05122206 (Dataset) | NA | ||||
| Securities portfolio (book value) (M_TITVALC) | Banque de France | Interbank code / SIREN | CASD | 2010-2021 | Credit Institutions | France | Securities portfolio (accounting valuation) data (the SURFI M_TITVALC table) lists outstanding sums for investment portfolios, shares in affiliated companies, equity securities and other financial assets, broken down by economic category of issuing agent and according to different accounting valuation methods. These data are necessary to calculate the flow statistics required by European Central Bank Regulation ECB/2009/25 of December 19, 2008. | Dataset | 10.34724/CASD.620.4598.V1 | French | NA | Electronical | INEXDA | NA | ||||||||
| Securities portfolio (market valuation) (M_TITPRIM) | Banque de France | Interbank code / SIREN | CASD | 2010-2021 | Credit Institutions | France | Securities portfolio (market valuation) (the SURFI M_TITPRIM table) lists, the investment securities portfolio on the one hand, and the investment securities portfolio on the other hand, and specifies the nature of the securities by indicating their legal category and whether they are listed on a stock exchange, the valuation method applied and the security issuing entity, excluding related receivables and payables. | Dataset | 10.34724/CASD.619.4599.V1 | French | NA | Electronical | INEXDA | NA | ||||||||
| Securities portfolio and issued securities (M_OPETITR) | Banque de France | Interbank code / SIREN | CASD | 2010-2022 | Credit Institutions | France | Securities portfolio and securities issued data (the SURFI M_OPETITR table) lists the securities portfolio, excluding receivables and related payables, including loaned securities, shares in affiliated companies, equity investments and other financial assets, and securities issued. Short term investment securities, and longer-term investment securities, where applicable, are recorded net of provisions for depreciation. Receivables from loaned securities are included under the various headings, as are borrowed securities and securities sold under repurchase agreements. | Dataset | 10.34724/CASD.615.4993.V1 | French | NA | Electronical | INEXDA | NA | ||||||||
| Securities portfolio and issued securities (TITRE_PTF - EC) | Banque de France | Interbank code / SIREN | CASD | 2010-2021 | Credit Institutions | France | Securities portfolio and securities issued - Credit institutions data (the SURFI TITRE_PTF table) lists the securities portfolio and securities issued, excluding related receivables and payables. Investment securities and portfolio securities, longer-term investment securities where applicable, shares in affiliated companies; equity securities and other financial assets are recorded net of provisions for depreciation. Loaned securities are valued in the same way as the original securities. The entire securities portfolio is recorded "including loaned securities", loaned securities being isolated in the "Additional data" in the first part of the table. Investment securities, longer-term investment securities and shares in affiliated companies are recorded net of provisions in accordance with the valuation methods specific to each category of securities. | Dataset | 10.34724/CASD.624.4994.V1 | French | NA | Electronical | INEXDA | NA | ||||||||
| Securities portfolio and issued securities (TITRE_PTF - EI) | Banque de France | Interbank code / SIREN | CASD | Quarterly | 2010-2021 | Securities, Investment | France | Operations in transaction securities, miscellaneous operations and fixed assets - Securitization Undertakings and Investment Firms data (the table SURFI TITRE_PTF) lists the securities portfolio and securities issued, excluding related receivables and payables. Financial investment securities and portfolio securities, investment securities where applicable, shares in affiliated companies, equity securities and other financial assets are recorded net of provisions for depreciation. Receivables representing loaned securities are valued in the same way as the original securities. The entire securities portfolio is recorded "including loaned securities", loaned securities being isolated in the "Additional Data" section of the first part of the table. Investment securities and shares in affiliated companies are recorded net of provisions in accordance with the valuation methods specific to each category of securities. | Dataset | 10.34724/CASD.633.4305.V1 | French | NA | Electronical | INEXDA | NA | |||||||
| Selected master data for foreign affiliates of MFIs (MaMFI-FIL) | Deutsche Bundesbank | NA | On-site | NA | NA | NA | NA | NA | Dataset | 10.12757/Bbk.MaMFI_FIL.200203-202212.01.01 | English | March 2023 | NA | NA | NA | INEXDA | NA | NA | ||||
| Selected master data for MFIs (MaMFI) | Deutsche Bundesbank | NA | On-site | NA | NA | NA | NA | NA | Dataset | 10.12757/Bbk.MaMFI.199901-202312.01.01 | English | March 2023 | NA | NA | NA | INEXDA | NA | NA | ||||
| Short stay rentals in Mexico | Banco de México (EconLab) | Real estate | On-site, Remote | Panel: monthly | 2020-07 to last month | Short stay rentals of some companies in Mexico | MX | Microdata of properties offered as short-term accommodation in Mexico through the vacation rental platforms. | Dataset | NA | Spanish | 2021 | NA | Collected by suppliers | Rent, Real estate, Vacation rental platforms, Vrbo | EconLab-09 | ||||||
| Social balance sheets - Descriptions | Banque de France | SIREN | CASD | Yearly | 1989-2023 | Non-financial companies | France | The Social reports data contains descriptions of the legal nature of enterprises and NES codes. The summary economic classification, adopted by INSEE in 1994, is an aggregated double national nomenclature - of economic activities and products - used for economic analysis. The "Social reports - Descriptions" database also includes the country code and region code, in order to locate companies in France and abroad. | Dataset | 10.34724/CASD.571.4243.V1 | French | NA | Electronical | INEXDA | NA | |||||||
| Social balance sheets - Fixed history of the Central Balance Sheet Office (1989-2010) | Banque de France | SIREN | CASD | Quarterly | 1989-2010 | Non-financial companies | France | Data on Social reports - Fixed record of the Statement of Accounts Repository (1989-2010). | Dataset | 10.34724/CASD.570.4242.V1 | French | NA | Electronical | INEXDA | NA | |||||||
| Social Security Micro-Data for Mexico | Banco de México (EconLab) | Workers | On-site, Remote | Panel: monthly | 2004-11 to last month | All formal workers in Mexico | MX | The administrative data for social security records that contains salaries, job type, gender, etc. | Dataset | NA | Spanish | 2018 | NA | Electronical | Salaries, employees, social security, employer | EconLab-02 | Calderón, Mariana. Josué Cortés, Jorge Pérez Pérez , Alejandrina Salcedo. (2023). “Disentangling the Effects of Large Minimum Wage and VAT Changes on Prices: Evidence from Mexico.” Labour Economics - Osuna, Daniel. (2023). "The impact of the COVID 19 pandemic on post great recession entrants: Evidence from Mexico", Labour Economics - Puggioni , Daniela. Mariana Calderón, Alfonso Cebreros Zurita, León Fernández Bujanda, José Antonio Inguanzo González, and David Jaume. (2022). “ Inequality, income dynamics, and worker transitions: The case of Mexico.” Quantitative Economics | |||||
| Spanish Survey of Household Finances (EFF) | Banco de España | Anonymised Household ID | Download | Panel: triennal until 2020, biennal from 2020 | 2002 to 2020 (every three years) | The target population of the EFF is the population of private (non-institutionalised) households in Spain every three years (every two since 2020). | Population of households living in Spain. | The Spanish Survey of Household Finances is a household survey conducted by Banco de España since 2002 every three years (every two since 2020) to provide detailed information on the financial position and decisions of Spanish households. In particular, the survey provides information on demographics, real assets and their associated debts, other debts, financial assets, pension plans and insurance, employment status and related income, labour and non-labour income in the previous calendar year, means of payment, and consumption. It is the only statistical source in Spain that allows linking these dimensions for Spanish households and it is also part of the Household Finance and Consumption Survey (HFCS), conducted by the system of euro area central Banks. Two important characteristics of the EFF are the oversampling of wealthy households and the panel component of the sample. Regarding the longitudinal dimension, some of the households that participated in previous editions have been re-interviewed from the second edition onwards. As a result, the combination of samples from the different editions allows a common sub-set of households to be observed at several points in time and, in certain cases, over a period of nearly ten years. To reconcile these two characteristics with the requirement of the cross-sectional representativeness of the overall sample, a refreshment sample is designed and added to the longitudinal component in each wave. The sample for each wave is obtained thanks to the cooperation of the National Statistics Institute (INE) and the tax authorities, through a coordination mechanism that enables household wealth levels to be assigned observing strict confidentiality and anonymity requirements at all times, in order to achieve the objectives set by the sample design. This ensures the representativeness of the information obtained, while securing accurate information on the behaviour of the richest household segment and including a longitudinal component. A procedure for replacing non-respondent households with others with very similar income and wealth levels is included in the sample design, thus ensuring that the desired characteristics of the sample are maintained. The interviews to households are conducted by interviewers with specific training and are computed-assisted (CAPI), with the exception of interviews in 2020, which were conducted fully by telephone (CATI). From 2022 onwards, the most preferable interviewing mode is F2F but households have also the possibility of being interviewed by phone. A strict and comprehensive monitoring of interviewers performance and data quality is conducted during the entire fieldwork process. | Dataset | Spanish/English | Microdata are released two years after the start of the fieldwork | Probability sample | Interviews conducted by interviewers with specific training and computer-assisted (CAPI). Interviews corresponding to the EFF2020 were conducted fully by telephone (CATI). From 2022 onwards, the telephone interviewing mode is only provided as a second option to households who are reluctant to conduct a F2F interview. | Household survey, household finance, debts, assets, income, employment, demographics, consumption, expectations | INEXDA | NA | Papers: Barceló, C. (2008). "The impact of alternative imputation methods on the measurement of income and wealth: evidence from the Spanish Survey of Household Finances", Working Paper no. 0829, Banco de España. Barceló, C. and E. Villanueva (2016). "The response of household wealth to the risk of job loss: Evidence from differences in severance payments", Labour Economics, Vol. 39, pp.35-54. Bover, O.(2005). "Wealth effects on consumption: microeconometric estimates from a new survey of household finances", CEPR Discussion Paper, no. 5874. Bover, O. (2010). "Wealth inequality and household structure: US vs. Spain", Review of Income and Wealth, Vol. 56, pp.259-290. Bover, O. (2010). "Housing purchases and the dynamics of housing wealth", Working Paper no. 1036, Banco de España. Bover, O. (2015). "Measuring expectations from household surveys: new results on subjective probabilities of future house prices", SERIEs, Journal of the Spanish Economic Association, Vol.6(4), pp.361-405. Bover, O., Casado, J.M., Costa, S., Du Caju, P., McCarthy, Y., Sierminska, E., Tzamourani, P., Villanueva, E., and T. Zavadil. (2016). "The Distribution of Debt Across Euro Area Countries: The Role of Individual Characteristics, Institutions and Credit Conditions", forthcoming in International Journal of Central Banking. Brindusa, A., Basso, H., Bover, O., Casado, J.M., Hospido, L., Izquierdo, M., Kataryniuk, I.A., Lacuesta, A., Montero, J.M. and E. Vozmediano. (2018). "Income, consumption and wealth inequality in Spain", Occasional Paper no. 1806, Banco de España. Masier, G. and E. Villanueva. (2011). "Consumption and initial mortgage conditions: Evidence from survey data", Working Paper no. 1101, Banco de España. Description and Methods: Barceló, C. (2006). "Imputation of the 2002 wave of the Spanish Survey of Household Finances", Occasional Paper no. 0603, Banco de España. Bover, O. (2004). "The Spanish Survey of Household Finances (EFF): description and methods of the 2002 wave", Occasional Paper no. 0409, Banco de España. Bover, O. (2008). "The Spanish Survey of Household Finances (EFF): description and methods of the 2005 wave", Occasional Paper no. 0803, Banco de España. Bover, O. (2011). "The Spanish Survey of Household Finances (EFF): description and methods of the 2008 wave", Occasional Paper no. 1103, Banco de España. Bover, O., Coronado, E. and P. Velilla. (2014). "The Spanish Survey of Household Finances (EFF): description and methods of the 2011 wave", Occasional Paper no. 1407, Banco de España. Bover,O., Crespo, L., Gento, C. and I. Moreno. (2018). "The Spanish Survey of Household Finances (EFF): description and methods of the 2014 wave", Occasional Paper no. 1804, Banco de España. Piluca Alvargonzález, Marina Asensio, Cristina Barceló, Olympia Bover, Lucía Cobreros, Laura Crespo, Najiba El Amrani, Sandra García-Uribe, Carlos Gento, Marina Gómez, Paloma Urcelay, Ernesto Villanueva and Elena Vozmediano.: The Spanish survey of household finances (EFF): description and methods of the 2020 wave., Occasional Paper Nº 2405 Cristina Barceló, Laura Crespo, Sandra García-Uribe, Carlos Gento, Marina Gómez and Alicia de Quinto.: The Spanish survey of household finances (EFF): description and methods of the 2017 wave. Occasional Paper Nº 2033 Piluca Alvargonzález, Marina Gómez, Carmen Martínez-Carrascal, Myroslav Pidkuyko and Ernesto Villanueva.: Analysis of labor flows and consumption in Spain during COVID-19 Laura Crespo, Najiba El Amrani, Carlos Gento and Ernesto Villanueva.: Heterogeneidad en el uso de los medios de pago y la banca online: un análisis a partir de la encuesta financiera de las familias (2002-2020). Occasional Paper Nº2308 Olympia Bover, Laura Crespo and Sandra García-Uribe.: Household indebtedness according to the Spanish Survey of Household Finances and the Central Credit Register: a comparative analysis. Occasional Paper Nº 2205 Laura Crespo, Marina Gómez-García, Pau Jovell, Blanca Rivera and Ernesto Villanueva.: 2023/Q4 Article 05. Income and employment losses during the COVID-19 pandemic and the financial situation of households: evidence from the EFF. Economic Bulletin 2023/Q4 Olympia Bover, Laura Crespo, Sandra García-Uribe, Marina Gómez-García, Paloma Urcelay and Pilar Velilla.: Micro and macro data on household wealth, income and expenditure: comparing the Spanish Survey of Household Finances (EFF) to other statistical sources. Occasional Paper Nº 2407 | |||||
| Special Survey of Italian Households (ISF) | Banca d'Italia | Households | Download | Cross-section | 2020-05; 2020-09; 2020-11; 2021-02; 2021-04; 2021-09 | Households | IT | In 2020, because of the spread of the Covid-19 epidemic, the Bank of Italy has suspended the fieldwork activities of the surveys on households carried out through personal interviews, in order to ensure the health of both households and interviewers. In order to fill the information gap and gather timely information on the economic situation of households during the pandemic crisis, the Bank of Italy has launched a Special Survey of Italian Households, administered using remote devices. | Dataset | Italian | November 2021 | Panel | Computer-Assisted Telephone Interviewing | Households | Is variant form of SHIW | https://www.bancaditalia.it/statistiche/tematiche/indagini-famiglie-imprese/indag-straord-famiglie-italiane/index.html | ||||||
| Statistics on income and living conditions - Eurostat (europa.eu) | Eurostat | Persons / Households | Public use files | Yearly | 2004 to 2013 | Persons living in private households | 24 EU countries plus UK | Yearly survey on income, poverty, social exclusion, and living conditions | Dataset | English | 2018 | Yes | National surveys | Income, poverty, social exclusion, living conditions | INEXDA | https://ec.europa.eu/eurostat/web/microdata/publications | ||||||
| Statistics on international financial and capital transactions (SIFCT) | Deutsche Bundesbank | NA | On-site | NA | NA | NA | NA | NA | Dataset | 10.12757/Bbk.SIFCT.200101-202312.01.01 | English | March 2024 | NA | NA | NA | INEXDA | NA | NA | ||||
| Statistics on International Trade in Services (SITS) | Deutsche Bundesbank | NA | On-site | Monthly | 2001-01 / 2023-07 | Cross-border service transactions between German residents and non-residents above 12500€ or its equivalent in another currency. | Germany, World (countries) | Germany’s statistics on international trade in services are collected by the Deutsche Bundesbank in order to compile Germany’s balance of payments statistics and serve as the basis for the research dataset SITS. Service transactions between German residents and non-residents that exceed €12,500 or its equivalent in another currency must be reported to the Deutsche Bundesbank. The reporting requirement applies to German firms including banks, as well as to individuals and public authorities. The research dataset provides detailed information for service transactions of firms engaged in cross-border service trade, such as the transaction value for services exports and imports, the type of exported and imported services (eg transport, R&D etc), partner country and sector classification of the resident firm. The research data are available from 2001 as a panel dataset with a monthly frequency. | Dataset | 10.12757/Bbk.SITS.01010723.07.01 | English | January 2024 | Complete inventory above the reporting threshold: service transactions between German residents and non-residents that exceed 12500€. | NA | Cross-border service trade, service exports, service imports | INEXDA | NA | Biewen, E., and Meinusch, A. (2023). Statistics on international trade in services (SITS) 01/2001 - 07/2023, Data Report 2023-24 – Metadata Version 7, Deutsche Bundesbank, Research Data and Service Centre. | ||||
| Statistik über Investmentvermögen (IFS-Base) | Deutsche Bundesbank | NA | On-site | NA | NA | NA | NA | NA | Dataset | 10.12757/IFSBase.09092312 | English | 2024 | NA | NA | NA | INEXDA | Is new version of DOI: https://doi.org/10.12757/IFSBase.09092212 (Dataset) | NA | ||||
| Structure of earnings survey - Eurostat (europa.eu) | Eurostat | Enterprises | Download | Every 4 years | 2002 to 2018 | Enterprises with at least 10 employees, except public administration | Most EU plus some EFTA/other countries | Survey on (structure of) earnings | Dataset | English | September 2021 | Yes | National surveys | Earnings | INEXDA | https://ec.europa.eu/eurostat/web/microdata/publications | ||||||
| Structure of earnings survey - Eurostat (europa.eu) | Eurostat | Enterprises | On-site, Remote | Every 4 years | 2002 to 2018 | Enterprises with at least 10 employees, except public administration | Most EU plus some EFTA/other countries | Survey on (structure of) earnings | Dataset | English | September 2021 | Yes | National surveys | Earnings | INEXDA | https://ec.europa.eu/eurostat/web/microdata/publications | ||||||
| Summary of activity by transaction and geographical area (SITUATION - EC) | Banque de France | Interbank code / SIREN | CASD | 2010-2022 | Credit institutions | France | Summary of activities by operation and geographical area - Credit Institutions data (the SURFI SITUATION) table is a summary document, common to all reporting institutions, which traces their activity on a corporate basis and according to French accounting standards, by category of operations and by geographical area, including operations carried out by foreign branches. It is supplemented, where appropriate, by other tables which provide more detailed breakdowns of certain items. Amounts relating to items in the SITUATION (balance sheet) table are recorded net of depreciation and amortization, with the exception of lines relating to doubtful receivables, which are recorded gross. | Dataset | 10.34724/CASD.622.4996.V1 | French | NA | Electronical | INEXDA | NA | ||||||||
| Summary of operations by business and geographical area (SITUATION - EI) | Banque de France | SIREN / CIB | CASD | Quarterly | 2010-2022 | Securities, Investment | France | Summary of activity by type of operation and geographical area - Securitization Undertaking and Investment Firms data (the SITUATION table) is a summary document, common to all the institutions subject to the law, which traces their activity by category of operation and by geographical area, including their activity carried out by branches abroad. It is supplemented, where appropriate, by other tables which provide more detailed breakdowns of certain items. Amounts relating to items in the SITUATION table are recorded net of depreciation and amortization, with the exception doubtful receivables lines, which are recorded in gross sums. | Dataset | 10.34724/CASD.631.4985.V1 | French | NA | Electronical | INEXDA | NA | |||||||
| Survey of Financial Competences (ECF) | Banco de España | Anonymised Individual ID | Download | Every five years | 2016 and 2021 | Population of individuals aged 18-79 living in private households in Spain | Population of individuals from 18 to 79 living in Spain. It is also representative at the regional level. | The 2016 Spanish Survey of Financial Competences (ECF) was a joint initiative of the Banco de España (BdE) and the Comisión Nacional del Mercado de Valores (CNMV) aimed at measuring the financial competences of the adult population in Spain. The 2021 wave is an initiative of BdE. Information has been collected for a large sample of individuals provided by the National Statistical Institute, representative of the whole Spanish population and of each of its regions. In addition to financial competences, this face-to-face survey elicits basic information on demographics, household financial pressure as well as measures of individual’s expectations about their retirement, labor market opportunities and the evolution of housing prices. The ECF follows a blueprint questionnaire elaborated by the International Network of Financial Education (INFE), an assessment of the financial knowledge, attitudes and behavior of representative samples of the adult population recently implemented in a large number of countries under the coordination of the Organization of Economic Cooperation and Development (OECD). However, the ECF also includes some adaptations to the Spanish context. Firstly, the ECF asks about labor market status, individual expectations about employment loss (if employed) or employment finding (if unemployed), as well as measures of impatience. A second feature of the ECF is that it is not only a survey on individuals, but also aims at collecting information about the household’s level of financial competence. Namely, the 2016 survey asked each individual (sample person) if he or she is familiarized with household’s asset and debt holdings, as well as about the reasons that determined some financial choices. If the individual is not familiar with the financial matters, an informed person provides complementary information about the household portfolio and his or her own financial competences. In the 2021 wave, information about financial competences was also elicited from the person who knows most about the household financial matters. Thirdly, with the aim of disentangling financial from other generic competences, the ECF also includes items measuring basic reading comprehension (extracted from the 1994 International Adult Literacy Survey) as well as, in its 2016 wave, graph comprehension (extracted from the 2012 Program for International Adult Competences, PIAAC). Finally, following the National Capability Survey in the United States, the ECF includes a module on housing, where respondents provide information about whether they own or rent the house of main residence, the reasons for their choice and their expectations about the evolution of the price of the dwelling. If they financed the purchase of their house with a loan, the survey collects some information about basic loan characteristics. | Dataset | Spanish/English | 2021 | Sample | Face-to-face personal interviews conducted by interviewers with specific training and computer-assisted (CAPI). In the 2021 wave the information was collected by in-person or telephone interviews with the individuals between November 2021 and July 2022. Priority was given to in-person interviews, but telephone interviews were also allowed given the restrictions imposed by the COVID-19 pandemic in some locations or the health concerns of some interviewees | Individuals, financial literacy, knowledge of financial products, holding and acquisition of financial products, economic vulnerability, expectations | INEXDA | NA | Paper: Amer, J., O. Bover, L. Hospido, and E. Villanueva (2017): Measuring financial competences in a large-scale survey: the Spanish Survey of Financial Competences, The role of data in supporting financial inclusion policy, Proceedings of the Bank of Morocco – CEMLA – IFC Satellite Seminar at the 61st ISI World Statistics Congress, Marrakech, Morocco, 14 July 2017. (https://www.bis.org/ifc/publ/ifcb47e.pdf) Main results are available at the BdE webpage: Survey of Financial Competences (ECF) 2021: main results, November 2023. (https://www.bde.es/f/webbe/SES/Secciones/Publicaciones/Competencias_financieras/EncuestaCompetencias_2021_Ing.pdf) Occasional papers: Olympia Bover, Laura Hospido and Ernesto Villanueva: The survey of financial competences (ECF): description and methods of the 2016 wave (https://www.bde.es/f/webbde/SES/Secciones/Publicaciones/PublicacionesSeriadas/DocumentosOcasionales/19/Files/do1909e.pdf) Laura Hospido, Margarita Machelett, Myroslav Pidkuyko, Ernesto Villanueva (2023) Survey of Financial Competences 2021 https://doi.org/10.53479/34792 | |||||
| Survey of Small Enterprises’ Financial Literacy | Banco de España | Numeric ID | Download | Panel: annual | 2021 | Financial literacy among owners of micro, small and medium enterprises (MSMEs). Numer of employees: 50 or less. | ES | Answers to a questionnaire designed to capture information about financial behaviour, attitudes and knowledge of MSMEs’ owners, in order to assess their level of financial literacy and gain insights about the financial inclusion of their businesses. | Dataset | English | 2021 | Sample | Surveys sent by Banco de España to small enterprises (less than 50 employees) | Financial competencies, Small Enterprises, Online Survey, COVID-19, Digitalization | INEXDA | NA | Paper: Brindusa Anghel, Aitor Lacuesta and Federico Tagliati. "2021 Survey of Small Enterprises’ Financial Literacy: Main Results" (https://www.bde.es/wbe/en/publicaciones/analisis-economico-investigacion/documentos-ocasionales/encuesta-competencias-financieras-pequenas-empresas-2021-principales-resultados.html) | |||||
| Survey on cross-border transactions in services by non-financial and insurance firms - direct reporting main sections of the site (DR) | Banca d'Italia | Firms | REX | Time series: annual | 2013 - | Firms with over €10 million turnover | IT | The survey is the main source for compiling the ‘other services’ component of Italy’s balance of payments, i.e. the section covering services other than ‘travel’ and ‘transport' | Dataset | English | Ottobre 2023 | Panel | Questionnaire to firm | Non-financial corporations, International business | https://www.bancaditalia.it/statistiche/basi-dati/rdc/rex/methods_DR_EN.pdf?language_id=1 | |||||||
| Survey on Financial literacy of Italian adults (IACOFI) | Banca d'Italia | Households | Download | Cross-section | 2017; 2020; 2023 | Adults | IT | The Bank of Italy has been conducting a triennial survey on the financial literacy in Italy (IACOFI) since 2017. The survey is based on a harmonized methodology developed by the International Network on Financial Education (INFE) of the OECD. Questions assessing the digital financial skills of respondents have been introduced into the 2023 edition, which is conducted simultaneously in approximately 30 countries. | Dataset | English | July 2023 | Sample | Computer-Assisted Telephone Interviewing | Households | Compiles INFE (OECD) | http://www.oecd.org/financial/education/oecd-infe-2020-international-survey-of-adult-financial-literacy.pdf | ||||||
| Survey on Household Income and Wealth (SHIW) | Banca d'Italia | Households / internal hh id | Download | Panel: less frequent than annual | 1987 - | Households | IT | The Survey on Household Income and Wealth (SHIW) was begun in the 1960s to gather data on the incomes and savings of Italian households. Over the years, the survey has grown in scope and now includes wealth and other aspects of households' economic and financial behaviour, including, for instance, the payment methods employed. | Dataset | English | April 2023 | Rotating Panel of housholds | Interviews | Households | Compiles HFCS | https://www.bancaditalia.it/statistiche/tematiche/indagini-famiglie-imprese/bilanci-famiglie/metodologia-ibf/index.html | ||||||
| Survey on Industrial and Service Firms (INVIND) | Banca d'Italia | Firms / internal firm id | REX | Panel: annual | 1984 - | Firms with more than 20 employees, industry, service and construction sectors | IT | Each year the survey gathers information on investments, gross sales, workforce and other economic variables relating to Italian industrial and service firms with 20 or more employees. | Dataset | English | June 2023 | Panel | Questionnaire to firm | Non-financial corporations | Is supplemented by SONDTEL | https://www.bancaditalia.it/pubblicazioni/metodi-e-fonti-note/metodi-note-2017/metodologia_indagine_impr_industr_serv.pdf (italian only) | ||||||
| Survey on inflation and growth expectations (SIGE) | Banca d'Italia | Firms /internal firm id | REX | Panel: quarterly | 1999 - | Firms with more than 50 employees | IT | The survey looks at the firms' expectations for consumer price inflation, developments in their own selling prices, and their views on the macroeconomic outlook. | Dataset | English | April 2024 | Panel | Questionnaire to firm | Non-financial corporations | https://www.bancaditalia.it/pubblicazioni/metodi-e-fonti-note/metodi-note-2022/IAI_methods_and_sources.pdf?language_id=1 | |||||||
| Survey on International Tourism (INDTUR) | Banca d'Italia | Households | Download | Cross-section | 1996 - | Households | IT | The sample survey on international tourism is conducted by the Bank of Italy since 1996. It provides data on tourism expenditure, the number of visitors, the main characteristics of the trip and of inbound and outbound visitors, with details about their countries of origin and destination, purpose of the trip, and type of accommodation used. | Dataset | English | June 2023 | Sample | Interviews | Households | https://www.bancaditalia.it/pubblicazioni/metodi-e-fonti-note/metodi-note-2017/tourism_note_met-en.pdf?language_id=1 | |||||||
| Survey on Italian housing market (HOUSING) | Banca d'Italia | Firms / internal agency id | REX | Panel: quarterly | 2009 - | Real-estate agents | IT | The dataset describes agents' opinions regarding the course of house sales, price trends compared with the previous quarter and the short-term outlook at local and national level. | Dataset | English | March 2024 | Panel | Questionnaire to agency | Non-financial corporations | https://www.bancaditalia.it/pubblicazioni/metodi-e-fonti-note/metodi-note-2022/italian-housing.pdf | |||||||
| Swaps | Banco de México (LISF) | Companies (NFC), Banks, Brokerage houses, Sofomes, Households | On-site | Monthly | 2015-07 to 2024-02 | Companies (NFC), Banks, Brokerage houses, Sofomes, Households | MX | This database includes microdata, at company level, of outstanding swaps derivative contracts; as well as, their characteristics as underlying assets, rates and maturities. | Dataset | NA | Spanish | 2024-03 | NA | Regulatory reports | Derivatives, Swaps, IRS, CCS | NA | NA | |||||
| Tarjetas de crédito | Banco de México (LISF) | Households | On-site | Bimonthly | 2009-12 to 2023-12 | Households | MX | Bank loans to individuals through credit cards. This database includes microdata. Its characteristics such as: interest rate, amount drawn on the line of credit, credit balance, payments, probability of non-payment, etc. | Dataset | NA | Spanish | 2024-03 | NA | Regulatory reports | Credit cards, Revolving credits | NA | NA | |||||
| Transactions in trading securities, miscellaneous transactions and fixed assets (TIT_TRANS - EI) | Banque de France | Interbank code / SIREN | CASD | Quarterly | 2010-2021 | Securities, Investment | France | Operations in transaction securities, miscellaneous operations and fixed assets - Securitization Undertakings and Investment Firms data (the SURFI TIT_TRANS table) lists transactions in trading securities, miscellaneous transactions and fixed assets, excluding related receivables and payables. | Dataset | 10.34724/CASD.632.4984.V1 | French | NA | Electronical | INEXDA | NA | |||||||
| Transactions in trading securities, miscellaneous transactions and fixed assets (TIT_TRANS) - EC | Banque de France | Interbank code / SIREN | CASD | 2010-2022 | Credit Institutions | France | The SURFI TIT_TRANS table lists transactions in trading securities, miscellaneous transactions and fixed assets, excluding related receivables and payables. | Dataset | 10.34724/CASD.623.4990.V1 | French | NA | Electronical | INEXDA | NA | ||||||||
| Transactions with non-resident agents (M_AGENTnR) | Banque de France | Interbank code / SIREN | CASD | 2010-2021 | Credit Institutions | France | The M_AGENTnR table lists transactions with non-resident agents, excluding related receivables and payables, including doubtful receivables at their gross amount. | Dataset | 10.34724/CASD.608.4279.V2 | French | NA | Electronical | INEXDA | NA | ||||||||
| Transactions with non-resident customers (CLIENT_nR - EC) | Banque de France | Interbank code / SIREN | CASD | 2010-2021 | Credit institutions | France | The SURFI CLIENT_NR table shows operations undertaken with non-resident clients, excluding related receivables and payables, distinguishing between EMUM (Member States of the monetary union) and non-EMUM areas. Clients include both non-financial clients and financial clients (money market funds and financial clients excluding money market funds). As an exception, doubtful receivables lines include related receivables services. | Dataset | 10.34724/CASD.602.4273.V2 | French | NA | Electronical | INEXDA | NA | ||||||||
| Transactions with non-resident customers EMUM (M_CLIENnR - EC) | Banque de France | Interbank code / SIREN | CASD | 2010-2021 | Credit Institutions | France | The M_CLIENnR table shows transactions with non-resident clients in the EMUM (Member States of the monetary union) zone, excluding related receivables and payables. Exceptionally, doubtful receivables lines are served including related receivables. | Dataset | 10.34724/CASD.609.4280.V2 | French | NA | Electronical | INEXDA | NA | ||||||||
| Transactions with resident customers (CLIENT_RE - EC) | Banque de France | Interbank code / SIREN | CASD | 2010-2021 | Credit Institutions | France | Operations with resident clients data (the M_CLIENRE table) lists operations with clients, excluding related receivables and payables, which are recorded in categories 2, 4 and 5. Clients include financial clients on the one hand, and non-financial clients (money market funds, financial clients excluding money market funds, interbank clearing houses, holding companies of non-financial companies, French special purpose vehicle, French securitised mutual funds and securitization companies) on the other hand. As an exception, doubtful receivables lines are served including related receivables. | Dataset | 10.34724/CASD.611.4597.V1 | French | NA | Electronical | INEXDA | NA | ||||||||
| Transactions with resident customers (CLIENT_RE - EI) | Banque de France | Interbank code / SIREN | CASD | Quarterly | 2010-2021 | Securities, Investment | France | Transactions with resident clients - Securitization Undertakings and Investment Firms data (the SURFI CLIENT_RE table) lists transactions with resident clients, excluding related receivables and payables. Customers include non-financial customers on the one hand, and financial customers (money market funds, non-money market funds, financial customers excluding funds) on the other. As an exception, doubtful receivables lines are shown including related receivables. | Dataset | 10.34724/CASD.626.4983.V1 | French | NA | Electronical | INEXDA | NA | |||||||
| Transactions with resident customers (M_CLIENRE) | Banque de France | Interbank code / SIREN | CASD | 2010-2021 | Credit Institutions | France | The SURFI CLIENT_RE table lists operations with resident clients, excluding related receivables and payables. Clients include non-financial clients on the one hand, and financial clients (money market funds, non-money market funds, financial clients excluding funds) on the other. As an exception, doubtful receivables lines are served including related receivables. | Dataset | 10.34724/CASD.603.4596.V1 | French | NA | Electronical | INEXDA | NA | ||||||||
| Unique Housing Registry | Banco de México (EconLab) | Real estate | On-site, Remote | Panel: monthly | 2015-10 to 2022-08 | Mexican real estate prices an characteristics | MX | Prices and characteristics of dwellings developed by the construction sector in Mexico. | Dataset | NA | Spanish | 2018 | NA | Collected by suppliers | Housing market, Construction, Mortgage market, Housing prices, Housing registry. | EconLab-11 | ||||||
| Uses and resources by currency and country (DEVI_SITU - EC) | Banque de France | Interbank code / SIREN | CASD | Quarterly | 2010-2022 | Credit Institutions | France | Employment and resources by currency and country - Credit Institutions data (the SURFI DEVI_SITU table) lists transactions with resident and non-resident agents, excluding related receivables and payables, including doubtful receivables for their gross amount, broken down by category of transaction and initial duration according to several currency groups, by country of residence and nationality of the counterparty. As an exception, doubtful receivables are served including related receivables. Receivables representing loaned securities are included under the various headings relating to securities transactions. | Dataset | 10.34724/CASD.594.4987.V1 | French | NA | Electronical | Transactions, resident, non-resident, country, resources | INEXDA | NA | ||||||
| Uses and resources by currency and country (DEVI_SITU - EI) | Banque de France | Interbank code / SIREN | CASD | Quarterly | 2010-2022 | Securities, Investment | France | Uses and resources by currency and country - Securitization Undertakings and Investment Firms data (the SURFI DEVI_SITU table) lists transactions with resident and non-resident agents, excluding related receivables and payables, including doubtful receivables in gross amount, broken down by category of transaction and initial duration in several currency groups, by country of residence and nationality of the counterparty. Exceptionally, doubtful receivables are shown including related receivables. Receivables representing loaned securities are included under the various headings relating to securities transactions. | Dataset | 10.34724/CASD.627.4982.V1 | French | NA | Electronical | Transactions, resident, non-resident, country, resources | INEXDA | NA |