Healthcare
25 columns
200 rows
8 formats

Patient Demographics

This dataset provides comprehensive healthcare patient demographic records, including unique medical identifiers, insurance details, emergency contacts, and appointment histories. It enables efficient patient management, supports clinical workflows, and facilitates analytics for healthcare providers and administrators. The structured schema ensures data integrity and usability for operational and research applications.

opened 7 times
last updated 29 Oct 2025
by GoMask

The brief that made it

Patient registration and management in hospital information systems

Sample rows

preview · 8 of 200 rows · all 25 columns

patient_idstring	appointment_statusstring	address_countrystring	medical_record_numberstring	first_namestring	last_namestring	date_of_birthdate	genderstring	phone_numberstring	emailstring	address_streetstring	address_citystring	address_statestring	address_postal_codestring	insurance_providerstring	insurance_policy_numberstring	insurance_group_numberstring	emergency_contact_namestring	emergency_contact_relationshipstring	emergency_contact_phonestring	emergency_contact_emailstring	appointment_idstring	appointment_datedatetime	appointment_typestring	primary_physicianstring
US-4bb7e2c8	completed	USA	MRN100001	Eleanor	Miller	1990-07-28	female	+1-312-555-0931	eleanor.miller91@gmail.com	1428 Oak Lane	Chicago	IL	60616	Blue Cross	BCUS-902714	G3201	Henry Miller	spouse	+1-312-555-7901	henry.miller@gmail.com	US-APT-001	2023-11-16T10:15:00	consultation	Dr. Amanda Lee
UK-0e2b7f23	completed	UK	MRN100002	Oliver	Smith	1952-02-25	male	+44 20 7946 1128	oliver.smith52@outlook.com	21 Regent Street	London	England	SW1A 2DX	NHS	NHS-UK-302214	UK-G503	Emily Smith	child	+44 20 7946 2213	emily.smith1983@gmail.com	UK-APT-002	2023-09-02T14:30:00	screening	Dr. John Davies
IN-7841fbe2	scheduled	India	MRN100003	Aarav	Sharma	2009-03-13	male	+91-98765-43210	blank	102 MG Road	Bangalore	Karnataka	560001	Star Health	SHIN-IND-09871	IND-G210	Priya Sharma	parent	+91-98765-12345	priya.sharma@gmail.com	IN-APT-003	2024-01-08T11:45:00	procedure	Dr. Manish Patel
DE-9c41a2e7	completed	Germany	MRN100004	Sofie	Müller	1985-06-22	female	+49 30 12345678	sofie.mueller85@gmx.de	Berliner Str. 45	Berlin	Berlin	10715	TK	TK-DE-22145	DE-G120	Lukas Müller	spouse	+49 30 87654321	lukas.mueller@gmx.de	DE-APT-004	2023-12-12T09:00:00	consultation	Dr. Claudia Krüger
US-6f19b8e4	scheduled	USA	MRN100005	Marcus	Nguyen	1977-10-09	male	+1-415-555-2828	marcus.nguyen77@yahoo.com	2022 Market St	San Francisco	CA	94110	Aetna	AET-CA-009821	G4152	Lisa Nguyen	spouse	+1-415-555-2829	lisa.nguyen@gmail.com	US-APT-005	2024-03-02T15:45:00	consultation	Dr. Kevin Ross
FR-8e3c4a2b	completed	France	MRN100006	Luc	Martel	1963-11-06	male	+33 1 4725 1128	luc.martel63@orange.fr	18 Rue du Bac	Paris	Île-de-France	75007	Mutuelle Bleue	MB-FR-43821	FR-G531	Claire Martel	spouse	+33 1 4725 1183	claire.martel@orange.fr	FR-APT-006	2023-10-23T10:30:00	screening	Dr. Marie Laurent
AU-2d9e5b01	completed	Australia	MRN100007	Jessica	Taylor	1988-05-19	female	+61 2 9876 1234	j.taylor88@gmail.com	75 George St	Sydney	NSW	2000	Medibank	MB-AUS-98862	AUS-G152	Nathan Taylor	spouse	+61 2 9876 5678	n.taylor@gmail.com	AU-APT-007	2023-08-31T11:00:00	consultation	Dr. Sophie Lane
US-1bfe4a93	scheduled	USA	MRN100008	Caleb	Johnson	2011-12-02	male	+1-469-555-7192	blank	504 Park Ave	Dallas	TX	75201	Cigna	CIG-TX-00217	G7520	Sarah Johnson	parent	+1-469-555-7193	sarah.johnson@gmail.com	US-APT-008	2024-02-20T09:30:00	procedure	Dr. Robert Hall
SG-3f8e9d21	scheduled	Singapore	MRN100009	Rachel	Tan	1970-01-14	female	+65 6325 1128	rachel.tan70@gmail.com	12 Orchard Road	Singapore	Central	238800	AIA	AIA-SG-88231	SG-G110	Benjamin Tan	spouse	+65 6325 1133	ben.tan@gmail.com	SG-APT-009	2024-02-15T16:00:00	follow-up	Dr. Wei Lim
BR-7ad3c1f2	scheduled	Brazil	MRN100010	Gabriel	Silva	2018-07-07	male	blank	blank	Rua das Flores 77	São Paulo	SP	01018-010	Bradesco Saúde	BRAD-BR-77218	BR-G901	Fernanda Silva	parent	+55 11 99999-1234	fernanda.silva@gmail.com	BR-APT-010	2024-04-18T13:30:00	procedure	Dr. Carlos Mendes
ES-2c41fb0a	completed	Spain	MRN100011	Julia	Moreno	1981-09-22	female	+34 91 123 4567	julia.moreno81@gmail.com	Calle Mayor 105	Madrid	Madrid	28013	Mutua Madrileña	MM-ES-18122	ES-G401	Eduardo Moreno	spouse	+34 91 121 9988	eduardo.moreno@gmail.com	ES-APT-011	2023-11-04T10:00:00	consultation	Dr. Laura Sanchez
US-8e2fb1d9	scheduled	USA	MRN100012	Noah	Harris	1995-04-17	male	+1-646-555-1212	noah.harris95@gmail.com	59 Park Ave	New York	NY	10016	UnitedHealthcare	UHC-NY-77122	G1001	Anna Harris	spouse	+1-646-555-1213	anna.harris@gmail.com	US-APT-012	2024-01-24T15:00:00	consultation	Dr. Samuel Blake
CA-9e3a7f21	scheduled	Canada	MRN100013	Chloe	Chen	2005-06-30	female	+1-604-555-8792	blank	430 Granville St	Vancouver	BC	V6C 1T1	Sun Life	SLC-CA-56322	CA-G201	Linda Chen	parent	+1-604-555-8793	linda.chen@gmail.com	CA-APT-013	2024-01-12T10:00:00	screening	Dr. George Smith
JP-2b7e6c41	completed	Japan	MRN100014	Haruto	Kobayashi	1973-02-11	male	+81 3 1234 5678	haruto.kobayashi73@gmail.com	2-17-3 Shibuya	Tokyo	Tokyo	150-0002	Japan Life	JL-JP-13829	JP-G701	Miyuki Kobayashi	spouse	+81 3 8765 4321	miyuki.kobayashi@gmail.com	JP-APT-014	2023-09-28T09:00:00	consultation	Dr. Hiroshi Sato
US-7e1fb293	completed	USA	MRN100015	Lucas	Baker	1982-12-21	male	+1-313-555-5321	lucas.baker82@gmail.com	1839 Woodward Ave	Detroit	MI	48226	Blue Cross	BCMI-183921	G4822	Michelle Baker	spouse	+1-313-555-5322	michelle.baker@gmail.com	US-APT-015	2023-12-21T09:30:00	consultation	Dr. Nancy White
CN-4b2e9d81	scheduled	China	MRN100016	Li	Wang	1951-07-29	female	+86 10 5555 8888	li.wang1951@163.com	98 Dongcheng Rd	Beijing	Beijing	100010	Ping An	PA-CN-51881	CN-G010	Zhi Wang	child	+86 10 5555 9999	zhi.wang@gmail.com	CN-APT-016	2024-02-06T11:15:00	screening	Dr. Lijuan Sun
US-3c9f2b71	completed	USA	MRN100017	Olivia	Davis	2003-10-26	female	+1-512-555-2319	olivia.davis03@gmail.com	610 W 6th St	Austin	TX	78701	Humana	HUM-TX-31026	G7870	Jacob Davis	parent	+1-512-555-2318	jacob.davis@gmail.com	US-APT-017	2023-12-02T13:00:00	screening	Dr. Susan Clark
EG-8d3a7e92	completed	Egypt	MRN100018	Youssef	Abdelrahman	1948-09-30	male	+20 2 25785712	youssef.abdelrahman48@gmail.com	15 Ramses St	Cairo	Cairo	11511	Misr Insurance	MISR-EG-89430	EG-G115	Nadia Abdelrahman	child	+20 2 25785713	nadia.abdelrahman@gmail.com	EG-APT-018	2023-11-23T10:30:00	follow-up	Dr. Ahmed Hassan
FR-7e2b6d91	scheduled	France	MRN100019	Renée	Dubois	2007-02-14	female	+33 1 4725 9988	blank	120 Rue de Rivoli	Paris	Île-de-France	75001	Groupama	GR-FR-77109	FR-G650	Jean Dubois	parent	+33 1 4725 9922	jean.dubois@gmail.com	FR-APT-019	2024-03-25T12:00:00	procedure	Dr. Sylvie Martin
IN-5b3c7e82	scheduled	India	MRN100020	Neha	Patel	1980-11-15	female	+91-98987-65432	neha.patel80@gmail.com	221 Lake Road	Ahmedabad	Gujarat	380015	ICICI Lombard	ICICI-IN-80115	IN-G380	Ravi Patel	spouse	+91-98987-65433	ravi.patel@gmail.com	IN-APT-020	2024-02-10T16:15:00	consultation	Dr. Anjali Rao

What the 200 rows show

from the 200-row sample

3genders
4appointment types
5emergency contact relationships
56address states
58address cities

appointment_status200 rows by value

address_country200 rows · top 10 of 14 values

USA40
India19
France17
Canada17
Japan17
UK16
Singapore15
Germany14
Brazil14
Spain10

25 columns by typefrom the column list below

string 23
date 1
datetime 1

Columns

25 columns in two groups

blueprint · 25 columns
column	type	description	example
Text 23 columns
`patient_id`	string	Unique identifier for each patient, typically a UUID or hospital-assigned ID.unique	US-4bb7e2c8
`medical_record_number`	string	Unique medical record number assigned to the patient by the healthcare provider.unique	MRN100001
`first_name`	string	Patient's first name.	Eleanor
`last_name`	string	Patient's last name.	Miller
`gender`	string	Patient's gender identity.male · female · other · prefer_not_to_say	female
`phone_number`	string	Primary contact phone number for the patient.optional	+1-312-555-0931
`email`	string	Patient's email address.optional	sofie.mueller85@gmx.de
`address_street`	string	Street address of the patient's residence.optional	1428 Oak Lane
`address_city`	string	City of the patient's residence.optional	Chicago
`address_state`	string	State or province of the patient's residence.optional	IL
`address_postal_code`	string	Postal or ZIP code of the patient's residence.optional	60616
`address_country`	string	Country of the patient's residence.optional	USA
`insurance_provider`	string	Name of the patient's primary insurance provider.optional	Blue Cross
`insurance_policy_number`	string	Patient's insurance policy number.optional	BCUS-902714
`insurance_group_number`	string	Group number associated with the patient's insurance policy.optional	G3201
`emergency_contact_name`	string	Full name of the patient's emergency contact.optional	Henry Miller
`emergency_contact_relationship`	string	Relationship of the emergency contact to the patient.6 values · optional	spouse
`emergency_contact_phone`	string	Phone number of the emergency contact.optional	+1-312-555-7901
`emergency_contact_email`	string	Email address of the emergency contact.optional	henry.miller@gmail.com
`appointment_id`	string	Unique identifier for each appointment associated with the patient.optional	US-APT-001
`appointment_type`	string	Type of appointment (e.g., consultation, follow-up, procedure).consultation · follow-up · procedure · screening · other · optional	consultation
`appointment_status`	string	Current status of the appointment.scheduled · completed · cancelled · no-show · optional	completed
`primary_physician`	string	Name of the patient's primary physician for the appointment.optional	Dr. Amanda Lee
Dates and times 2 columns
`date_of_birth`	date	Patient's date of birth.	1990-07-28
`appointment_date`	datetime	Date and time of the patient's appointment.optional	2023-11-16T10:15:00

Use it for

A healthcare dashboard
A breakdown of address_country. Excel, Power BI or Tableau.
What pattern can you find in 200 rows?
A class exercise
Hand out the rows and one question. Everyone works from the same 200 rows.
Patients200
US-4bb7e2c8completed
UK-0e2b7f23completed
IN-7841fbe2scheduled
A software demo
Believable patients with medical_record_number, first_name and last_name to fill a screen in front of a buyer.

This dataset200 rows25 columns

Yours1,000 rows25 columnsaddress_street: UK only

blueprint · patient-demographics

Behind this dataset

Same schema. As many rows as you need.

These 200 rows came out of a blueprint — 25 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

Medical record number is unique identifier
Date of birth determines age-based protocols
Insurance provider and policy number required
Emergency contact with relationship specified
Primary care physician assignment

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: patient-demographics

What should your data show?

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Sample rows

What the 200 rows show

Columns

Use it for

A healthcare dashboard

A class exercise

A software demo

Make it yours.

Same schema. As many rows as you need.

More in Healthcare

What should your data show?