Update 10/12/19: Additional info about the data - https://webpages.uncc.edu/mirsad/itcs6265/group1/index.html ^^VERY HELPFUL, especially relative to birthday/age/gender customer info (strangely encoded in the raw data). My attempt to reformat/transalate/clean some of this data: https://data.world/lpetrocelli/some-translatedreformatted-czech-banking-data
Data from a real Czech bank. From 1999.
The data about the clients and their accounts consist of following relations:
-relation account (4500 objects in the file ACCOUNT.ASC) - each record describes static characteristics of an account,
-relation client (5369 objects in the file CLIENT.ASC) - each record describes characteristics of a client,
-relation disposition (5369 objects in the file DISP.ASC) - each record relates together a client with an account i.e. this relation describes the rights of clients to operate accounts,
-relation permanent order (6471 objects in the file ORDER.ASC) - each record describes characteristics of a payment order,
-relation transaction (1056320 objects in the file TRANS.ASC) - each record describes one transaction on an account,
-relation loan (682 objects in the file LOAN.ASC) - each record describes a loan granted for a given account,
-relation credit card (892 objects in the file CARD.ASC) - each record describes a credit card issued to an account,
-relation demographic data (77 objects in the file DISTRICT.ASC) - each record describes demographic characteristics of a district.
Each account has both static characteristics (e.g. date of creation, address of the branch) given in relation "account" and dynamic characteristics (e.g. payments debited or credited, balances) given in relations "permanent order" and "transaction". Relation "client" describes characteristics of persons who can manipulate with the accounts. One client can have more accounts, more clients can manipulate with single account; clients and accounts are related together in relation "disposition". Relations "loan" and "credit card" describe some services which the bank offers to its clients; more credit cards can be issued to an account, at most one loan can be granted for an account. Relation "demographic data" gives some publicly available information about the districts (e.g. the unemployment rate); additional information about the clients can be deduced from this.
Source: http://lisp.vse.cz/pkdd99/berka.htm This database was prepared by Petr Berka and Marta Sochorova. For possible questions on the data and task description contact Petr Berka.
Download Source (download within the comment from Filip Sivák · Czech Technical University in Prague): Download all files as a zip file here - files will be in asc format https://www.researchgate.net/post/Is_there_any_public_database_for_financial_transactions_or_at_least_a_synthetic_generated_data_set
Personal Note: I am thrilled that I found this - convinced this is the only real banking data out there on the web. :)
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License information was derived automatically
Imports in Czech Republic increased to 362510 CZK Million in February from 349796 CZK Million in January of 2024. This dataset provides the latest reported value for - Czech Republic Imports - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.
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License information was derived automatically
Key information about Czech Republic Unemployment Rate
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Key information about Czech Republic New Orders Growth
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Key information about Czech Republic External Debt: % of GDP
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Key information about Czech Republic Labour Force Participation Rate
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Key information about Czech Republic Current Account Balance: % of GDP
https://fred.stlouisfed.org/legal/#copyright-citation-requiredhttps://fred.stlouisfed.org/legal/#copyright-citation-required
Graph and download economic data for Real Gross Domestic Product for Czech Republic (CLVMNACNSAB1GQCZ) from Q1 1995 to Q4 2023 about Czech Republic, real, and GDP.
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Key information about Czech Republic Household Debt: % of GDP
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Key information about Czech Republic Market Capitalization
The number of employed people in the Czech Republic was forecast to continuously increase between 2023 and 2024 by in total 0.1 million people (+2.01 percent). The number is estimated to amount to 5.02 million people in 2024. The indicator describes the number of employed people. This refers to persons who during a pre-defined period, either: a) performed wage or salary work, b) held a formal attachment to their job (even if not currently working), (c) performed for-profit work for personal or family gain, (d) were with an enterprise although temporarily not at work for any specific reason.Find more statistics on other topics about the Czech Republic with key insights such as gross domestic product in current prices, ratio of national debt to gross domestic product and ratio of government revenue to gross domestic product.
https://fred.stlouisfed.org/legal/#copyright-citation-requiredhttps://fred.stlouisfed.org/legal/#copyright-citation-required
Graph and download economic data for Real Broad Effective Exchange Rate for Czech Republic (RBCZBIS) from Jan 1994 to Feb 2024 about Czech Republic, broad, exchange rate, currency, real, and rate.
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Czech Republic Defense Market Report OverviewAs of 2023, the Czech Republic defense budget was worth $4.7 billion. The country’s defense budget is set to see high levels of growth, registering a CAGR of more than Read More
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The Czech Republic E-Commerce Market is segmented by B2C eCommerce (Beauty and Personal Care, Consumer Electronics, Fashion and Apparel, Food and Beverage, Furniture and Home), and B2B eCommerce. The market sizes and forecasts are provided in terms of value (USD million) for all the above segments.
The ratio of national debt to gross domestic product in the Czech Republic was forecast to continuously decrease between 2023 and 2028 by in total 2.5 percentage points. According to this forecast in 2028, the ratio will have decreased for the fifth consecutive year to 42.91 percent. This indicator describes the general government gross debt in relation to the country's GDP. According to the International Monetary Fund, gross debt consists of all liabilities that require payment or payments of interest and/or principal by the debtor to the creditor at a date or dates in the future. The GDP, on the other hand, refers to the total value of final goods and services produced during a year.Find more key insights for the ratio of national debt to gross domestic product in countries like Slovakia, Poland and Slovenia.
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Czech Republic Cards and Payments Market Report OverviewThe annual value of card transactions in the Czech Republic cards and payments market was $75.6 billion in 2023 and will grow at a CAGR of more than 11% durin Read More
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Graph and download economic data for Production: Industry: Total Industry Excluding Construction for Czech Republic (CZEPROINDMISMEI) from Jan 1990 to Dec 2023 about Czech Republic, IP, and indexes.
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Graph and download economic data for World Uncertainty Index for Czech Republic (WUICZE) from Q2 1993 to Q4 2023 about Czech Republic, uncertainty, World, and indexes.
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The Report Covers Shipping Companies in the Czech Republic and it is segmented by Function (Freight Transport, Freight Forwarding, Warehousing, and Value-added Services and Other Services) and End User (Manufacturing and Automotive, Oil and Gas, Mining, and Quarrying, Agriculture, Fishing, and Forestry, Construction, Distributive Trade, Healthcare, and Pharmaceutical, and Other End Users). The report offers market size and forecasts for the Czech Republic Freight and Logistics Market in value (USD billion) for all the above segments.
https://fred.stlouisfed.org/legal/#copyright-citation-requiredhttps://fred.stlouisfed.org/legal/#copyright-citation-required
Graph and download economic data for Real Residential Property Prices for Czech Republic (QCZR628BIS) from Q1 2008 to Q3 2023 about Czech Republic, residential, HPI, housing, real, price index, indexes, and price.
Update 10/12/19: Additional info about the data - https://webpages.uncc.edu/mirsad/itcs6265/group1/index.html ^^VERY HELPFUL, especially relative to birthday/age/gender customer info (strangely encoded in the raw data). My attempt to reformat/transalate/clean some of this data: https://data.world/lpetrocelli/some-translatedreformatted-czech-banking-data
Data from a real Czech bank. From 1999.
The data about the clients and their accounts consist of following relations:
-relation account (4500 objects in the file ACCOUNT.ASC) - each record describes static characteristics of an account,
-relation client (5369 objects in the file CLIENT.ASC) - each record describes characteristics of a client,
-relation disposition (5369 objects in the file DISP.ASC) - each record relates together a client with an account i.e. this relation describes the rights of clients to operate accounts,
-relation permanent order (6471 objects in the file ORDER.ASC) - each record describes characteristics of a payment order,
-relation transaction (1056320 objects in the file TRANS.ASC) - each record describes one transaction on an account,
-relation loan (682 objects in the file LOAN.ASC) - each record describes a loan granted for a given account,
-relation credit card (892 objects in the file CARD.ASC) - each record describes a credit card issued to an account,
-relation demographic data (77 objects in the file DISTRICT.ASC) - each record describes demographic characteristics of a district.
Each account has both static characteristics (e.g. date of creation, address of the branch) given in relation "account" and dynamic characteristics (e.g. payments debited or credited, balances) given in relations "permanent order" and "transaction". Relation "client" describes characteristics of persons who can manipulate with the accounts. One client can have more accounts, more clients can manipulate with single account; clients and accounts are related together in relation "disposition". Relations "loan" and "credit card" describe some services which the bank offers to its clients; more credit cards can be issued to an account, at most one loan can be granted for an account. Relation "demographic data" gives some publicly available information about the districts (e.g. the unemployment rate); additional information about the clients can be deduced from this.
Source: http://lisp.vse.cz/pkdd99/berka.htm This database was prepared by Petr Berka and Marta Sochorova. For possible questions on the data and task description contact Petr Berka.
Download Source (download within the comment from Filip Sivák · Czech Technical University in Prague): Download all files as a zip file here - files will be in asc format https://www.researchgate.net/post/Is_there_any_public_database_for_financial_transactions_or_at_least_a_synthetic_generated_data_set
Personal Note: I am thrilled that I found this - convinced this is the only real banking data out there on the web. :)