Finance
20 columns
201 rows
8 formats

Bank Account Details

This dataset provides comprehensive bank account details for testing and validating banking systems, including account types, balances, transaction limits, and detailed account holder information. It is ideal for simulating real-world banking scenarios, performing system integration tests, and validating compliance requirements in financial applications.

last updated 29 Oct 2025
by GoMask

The brief that made it

Testing and validating banking system functionalities

Sample rows

preview · 8 of 201 rows · all 20 columns

account_idstring	account_typestring	balancefloat	is_activeboolean	holder_countrystring	account_numberstring	currencystring	daily_transaction_limitfloat	monthly_transaction_limitfloat	opened_datedate	account_holder_idstring	holder_first_namestring	holder_last_namestring	holder_date_of_birthdate	holder_emailstring	holder_phonestring	holder_street_addressstring	holder_citystring	holder_statestring	holder_postal_codestring
A1B2C3D4E5F6G7H8	checking	8123.45	true	USA	10001234567891	USD	5000	25000	2022-03-18	HLD1001	Michael	Smith	1992-07-09	michael.smith01@usmail.com	+16125551234	201 Main St	New York	NY	10011
J3K4L5M6N7O8P9Q0	savings	56543.12	true	USA	10008765432109	USD	10000	50000	2011-07-24	HLD1002	Linda	Johnson	1974-03-21	linda.johnson74@usmail.com	+19175554321	12 Elm Avenue	Buffalo	NY	14222
Q1W2E3R4T5Y6U7I8	business	2234567.89	true	India	20004561238974	INR	500000	2000000	2018-02-13	HLD1003	Rajesh	Kumar	1982-11-05	rajesh.kumar@indmail.in	+919876543210	44 MG Road	Mumbai	MH	400001
Z9X8C7V6B5N4M3A2	student	45.67	true	USA	30002345678912	USD	250	1000	2023-09-12	HLD1004	Emily	Williams	2004-02-17	emily.williams@student.edu	blank	89 College Rd	Boston	MA	02115
F1G2H3J4K5L6M7N8	joint	350000	false	UK	40005678912340	GBP	20000	100000	2008-11-03	HLD1005	Peter	Brown	1955-01-09	peter.brown55@ukmail.co.uk	+447911123456	54 Queen St	Liverpool	Merseyside	L18 1BX
S2D3F4G5H6J7K8L9	checking	15500	true	France	50007890123456	EUR	6000	30000	2021-05-06	HLD1006	Sophie	Martin	1995-05-12	sophie.martin95@frmail.fr	+33123456789	120 Rue Lafayette	Paris	Ile-de-France	75010
M1N2B3V4C5X6Z7A8	business	12500000	false	USA	60002345678913	USD	1000000	5000000	2010-06-18	HLD1007	David	Miller	1972-09-30	david.miller@corpusa.com	+17184447777	88 Wall St	New York	NY	10005
U3I4O5P6A7S8D9F0	student	0	false	Australia	70005678912341	AUD	0	0	2023-02-01	HLD1008	Olivia	Taylor	2005-10-24	olivia.taylor05@unimail.edu.au	blank	23 Campus Lane	Melbourne	VIC	3000
P0O9I8U7Y6T5R4E3	joint	480000	true	Switzerland	80002345678914	CHF	35000	200000	2009-07-25	HLD1009	Helena	Schmidt	1962-12-19	helena.schmidt@swissmail.ch	+41791234567	35 Bahnhofstrasse	Zurich	ZH	8001
L8K7J6H5G4F3D2S1	savings	78000	true	Canada	90007654321089	CAD	12000	60000	2013-04-15	HLD1010	Daniel	Clark	1980-08-21	daniel.clark80@canmail.ca	+15145550011	101 King St W	Toronto	ON	M5H 1J9
C3V4B5N6M7L8K9J0	checking	9720.5	true	USA	10102345678915	USD	3500	18000	2020-08-30	HLD1001	Michael	Smith	1992-07-09	michael.smith02@usmail.com	+16125551234	201 Main St	New York	NY	10011
V7B8N9M0L1K2J3H4	savings	99000.75	true	Italy	10208765432110	EUR	13000	70000	2016-09-17	HLD1011	Ana	Rossi	1978-06-18	ana.rossi@itmail.it	+390612345678	22 Via Roma	Rome	Lazio	00184
A2S3D4F5G6H7J8K9	business	8945000	true	France	10304561238975	EUR	350000	1500000	2019-12-02	HLD1012	Claire	Durand	1989-11-30	claire.durand@frcorp.fr	+33198765432	76 Avenue de France	Paris	Ile-de-France	75013
S9D8F7G6H5J4K3L2	student	99.99	true	UK	10407890123457	GBP	500	2500	2024-01-14	HLD1013	Amelia	Evans	2003-08-12	amelia.evans@stmail.ac.uk	+447911222333	10 University Rd	Manchester	Greater Manchester	M13 9PL
F2G3H4J5K6L7M8N9	joint	820000	false	Australia	10505678912342	AUD	40000	240000	2006-05-22	HLD1014	Greg	Harris	1958-04-16	greg.harris@ozmail.com.au	+61412345678	7 Beach Rd	Gold Coast	QLD	4217
M2N3B4V5C6X7Z8A9	business	38450000	true	Switzerland	10602345678916	CHF	800000	3200000	2015-03-09	HLD1015	Lukas	Meier	1975-09-02	lukas.meier@swisscorp.ch	+41791234988	101 Seefeldstrasse	Zurich	ZH	8008
U4I5O6P7A8S9D0F1	student	13.5	false	Japan	10705678912343	JPY	100	500	2022-11-11	HLD1016	Yuki	Sato	2006-05-21	yuki.sato@student.jp	blank	2-12 Sakura St	Osaka	Osaka	530-0002
P1O2I3U4Y5T6R7E8	joint	420000	true	Canada	10802345678917	CAD	18000	90000	2012-02-20	HLD1017	Janet	Turner	1966-02-11	janet.turner@canmail.ca	+16045551234	33 River St	Montreal	QC	H2X 1Y9
L9K8J7H6G5F4D3S2	savings	66000	true	Japan	10907654321090	JPY	15000	75000	2014-10-19	HLD1018	Takashi	Nakamura	1979-04-27	takashi.nakamura@jpmail.jp	+819012345678	8-15 Ginza	Tokyo	Tokyo	104-0061
C4V5B6N7M8L9K0J1	checking	11850.9	true	Australia	11002345678918	AUD	3800	16000	2021-01-03	HLD1019	Lucas	Baker	1997-03-22	lucas.baker@ozmail.com.au	+61412345999	14 St Kilda Rd	Melbourne	VIC	3004

What the 201 rows show

from the 201-row sample

Business (account type) stands out: mean balance is 121,517,275, against 205,756 for the rest.

76%is_active = true
85,000median balance
8currencies
54holder cities
54holder states
9,500median daily_transaction_limit

Mean balance by account_type201 rows

balance201 rows, in bands of 100M

Median 85,000, from 0.0 to 900,000,000.

holder_country201 rows · 10 values

USA35
Australia26
Switzerland26
UK25
Canada24
India19
Japan14
France13
Italy13
Germany6

20 columns by typefrom the column list below

string 14
float 3
date 2
boolean 1

Columns

20 columns in four groups

blueprint · 20 columns
column	type	description	example
Text 14 columns
`account_id`	string	Unique identifier for the bank accountunique	A1B2C3D4E5F6G7H8
`account_number`	string	Official bank account numberunique	10001234567891
`account_type`	string	Type of bank account (e.g., checking, savings, business)checking · savings · business · joint · student	checking
`currency`	string	Currency code for the account balance (ISO 4217)8 values	USD
`account_holder_id`	string	Unique identifier for the account holder	HLD1001
`holder_first_name`	string	First name of the account holder	Michael
`holder_last_name`	string	Last name of the account holder	Smith
`holder_email`	string	Email address of the account holder	rajesh.kumar@indmail.in
`holder_phone`	string	Phone number of the account holderoptional	+16125551234
`holder_street_address`	string	Street address of the account holder	201 Main St
`holder_city`	string	City of the account holder	New York
`holder_state`	string	State or province of the account holderoptional	NY
`holder_postal_code`	string	Postal code of the account holder	10011
`holder_country`	string	Country of the account holder10 countries	USA
Numbers 3 columns
`balance`	float	Current balance of the account0 or more	8123.45
`daily_transaction_limit`	float	Maximum allowed transaction amount per day0 or more	5000
`monthly_transaction_limit`	float	Maximum allowed transaction amount per month0 or more	25000
Dates and times 2 columns
`opened_date`	date	Date when the account was opened	2022-03-18
`holder_date_of_birth`	date	Date of birth of the account holder	1992-07-09
True or false 1 column
`is_active`	boolean	Indicates if the account is currently active	true

Use it for

A finance dashboard
The is_active rate, balance by account_type and a breakdown of holder_country. Excel, Power BI or Tableau.
Why do the 43 business rows have a mean balance of 121,517,275?
A root-cause class exercise
Hand out the rows and one question. The answer is in the data, not in the brief.
Accounts201
A1B2C3D4E5F6G7H88123.45checking
J3K4L5M6N7O8P9Q056543.12savings
F1G2H3J4K5L6M7N8350000joint
A software demo
Believable accounts with account_number, account_type and balance to fill a screen in front of a buyer.

This dataset201 rows20 columns

Yours1,000 rows20 columnsholder_street_address: UK only

blueprint · bank-account-details

Behind this dataset

Same schema. As many rows as you need.

These 201 rows came out of a blueprint — 20 columns with generation rules behind each one. Open it in Data Factory to retune a column, add your own, wire in foreign keys, and run it at the size you actually need.

Rules it was built with

Account number follows banking format
Account type: checking, savings, money market
Balance is non-negative for most accounts
Daily transaction limit by account type
Account status: active, frozen, closed

Rows1,000 rows10,000 rows100,000 rows1,000,000 rows

Open the blueprint in Data Factory

1 credit per row. Preview 20 rows free. Buy rows for the full run.

Exports: CSV, JSON, JSONL, Parquet, SQL, Excel, TSV, XML
Licence: yours to use, including commercially
API slug: bank-account-details

What should your data show?

No signup. No card.

Sample rows

What the 201 rows show

Columns

Use it for

A finance dashboard

A root-cause class exercise

A software demo

Make it yours.

Same schema. As many rows as you need.

More in Finance

What should your data show?