Healthcare
19 columns
200 rows
8 formats

Healthcare Chronic Condition Prevalence

This dataset provides granular, patient-level diagnosis information for chronic conditions, including demographics, standardized condition codes, and diagnosis statuses. It is designed for healthcare analytics, enabling prevalence studies, trend analysis, and population health management. The schema supports interoperability and detailed stratification by demographic and clinical factors.

last updated 20 Aug 2025
by GoMask

The brief that made it

Analyzing prevalence and trends of chronic conditions across populations

Sample rows

preview · 8 of 200 rows · all 19 columns

patient_idstring	genderstring	address_statestring	first_namestring	last_namestring	date_of_birthdate	ethnicitystring	address_streetstring	address_citystring	address_postal_codestring	address_countrystring	diagnosis_idstring	condition_codestring	condition_namestring	diagnosis_datedate	diagnosis_statusstring	diagnosed_bystring	diagnosis_notesstring	last_updateddatetime
PAT-1001	male	IL	James	Smith	1982-03-15	Caucasian	1208 Maple Ave	Chicago	60614	USA	DX-20001	E11.9	Type 2 diabetes mellitus without complications	2021-06-10	active	Dr. Karen Li	Patient advised lifestyle modification and metformin.	2023-12-04T09:24:00
PAT-1002	female	CA	Maria	Garcia	1974-11-02	Hispanic	892 W 17th St	Los Angeles	90007	USA	DX-20002	I10	Essential (primary) hypertension	2022-01-18	active	Dr. Samuel Kent	Blood pressure monitored, ACE inhibitors prescribed.	2023-09-22T15:41:00
PAT-1003	male	WA	Wei	Zhang	1990-06-05	Asian	3667 Lakeshore Dr	Seattle	98115	USA	DX-20003	J45.909	Unspecified asthma, uncomplicated	2023-04-13	active	Dr. Angela Murray	Patient uses inhaler as needed.	2024-02-11T11:17:00
PAT-1004	female	blank	Amira	Hassan	1968-05-22	Arab	24 Al Maktoum St	Dubai	112233	UAE	DX-20004	M06.9	Rheumatoid arthritis, unspecified	2018-10-07	active	Dr. Fahad Al Nuaimi	Methotrexate therapy ongoing.	2023-08-29T10:35:00
PAT-1005	female	blank	Sophia	Nguyen	2007-12-11	Vietnamese	187 Tran Hung Dao	Ho Chi Minh City	700000	Vietnam	DX-20005	E66.9	Obesity, unspecified	2022-09-02	active	Dr. Lan Vu	Dietary counseling initiated.	2023-11-19T13:40:00
PAT-1006	male	OH	John	Smith	1950-01-11	White	501 Oak Lane	Springfield	45503	USA	DX-20006	G30.9	Alzheimer's disease, unspecified	2016-03-20	active	Dr. Lisa Cohen	Family education provided.	2023-12-02T14:58:00
PAT-1007	male	blank	Ivan	Petrov	1944-10-04	Slavic	Ulitsa Tverskaya 14	Moscow	125009	Russia	DX-20007	I50.9	Heart failure, unspecified	2021-07-25	active	Dr. Olga Sokolova	Diuretics prescribed.	2023-06-16T16:31:00
PAT-1008	female	OH	Emily	Johnson	1989-08-16	African American	74 Cedar Street	Cleveland	44102	USA	DX-20008	F32.9	Major depressive disorder, single episode, unspecified	2023-02-05	active	Dr. Mark Evans	SSRIs started, therapy recommended.	2024-03-28T12:02:00
PAT-1009	male	blank	Ahmed	Yousef	1972-02-13	Arab	47 Nile St	Cairo	11511	Egypt	DX-20009	N18.9	Chronic kidney disease, unspecified	2020-05-23	active	Dr. Heba Nabil	Monthly lab monitoring scheduled.	2023-10-14T09:53:00
PAT-1010	female	NY	Charlotte	Lee	1995-03-29	Asian	2391 Pine St	New York	10011	USA	DX-20010	E03.9	Hypothyroidism, unspecified	2022-08-15	active	Dr. Priya Singh	Levothyroxine prescribed.	2023-08-18T08:46:00
PAT-1011	male	blank	Liam	O'Brien	2012-02-28	Irish	91 Trinity Rd	Dublin	D08X4C2	Ireland	DX-20011	G40.909	Epilepsy, unspecified, not intractable	2023-06-14	active	Dr. Aisling Murphy	Anticonvulsants administered.	2024-01-22T10:07:00
PAT-1012	female	blank	Olga	Sokolova	1963-07-19	Slavic	Nevsky Prospekt 52	Saint Petersburg	191025	Russia	DX-20012	I25.10	Atherosclerotic heart disease of native coronary artery	2017-12-01	active	Dr. Alexei Volkov	Statin therapy started.	2023-09-30T17:23:00
PAT-1013	female	MH	Priya	Singh	1985-11-17	Indian	113 MG Road	Mumbai	400001	India	DX-20013	E78.5	Hyperlipidemia, unspecified	2021-09-27	active	Dr. Sanjay Patel	Diet and medication recommended.	2023-11-04T12:30:00
PAT-1014	female	blank	Fatima	Ali	1997-05-24	Arab	12 King Fahd Rd	Riyadh	12214	Saudi Arabia	DX-20014	F41.9	Anxiety disorder, unspecified	2023-10-09	active	Dr. Abdul Rahman	CBT sessions scheduled.	2024-02-02T09:18:00
PAT-1015	male	blank	Lucas	Martin	1978-07-06	French	8 Rue de Lyon	Paris	75012	France	DX-20015	I20.9	Angina pectoris, unspecified	2022-04-28	active	Dr. Claire Dubois	Nitrates prescribed.	2024-03-03T08:12:00
PAT-1016	male	blank	Jacob	Müller	1986-01-22	German	15 Hauptstrasse	Berlin	10115	Germany	DX-20016	J44.9	Chronic obstructive pulmonary disease, unspecified	2020-11-19	active	Dr. Greta Bauer	Patient uses bronchodilator daily.	2023-12-27T13:28:00
PAT-1017	female	blank	Elena	Popova	1958-09-10	Slavic	Prospekt Mira 77	Moscow	129110	Russia	DX-20017	F03.90	Unspecified dementia without behavioral disturbance	2021-03-09	active	Dr. Pavel Ivanov	Caregiver support provided.	2023-05-20T12:43:00
PAT-1018	female	blank	Emma	Williams	2010-11-03	Black	201 Oakwood Ave	London	SW9 8LU	UK	DX-20018	E66.9	Obesity, unspecified	2022-11-16	active	Dr. Harriet Clarke	Referral to nutritionist.	2023-10-07T15:39:00
PAT-1019	female	TX	Isabella	Torres	2009-05-13	Hispanic	5812 S Main St	Houston	77005	USA	DX-20019	E03.9	Hypothyroidism, unspecified	2023-05-09	active	Dr. Michelle Fong	Thyroid hormone replacement initiated.	2024-03-12T09:54:00
PAT-1020	male	blank	Jin	Park	1984-04-28	Asian	77 Gangnam-daero	Seoul	06177	South Korea	DX-20020	E78.5	Hyperlipidemia, unspecified	2021-10-03	active	Dr. Sunhee Kim	Patient started on statins.	2023-09-14T14:03:00

What the 200 rows show

from the 200-row sample

3diagnosis statuses
22ethnicities
32address countries
48condition codes

gender200 rows by value

address_state63 rows with a value · 137 left blank

19 columns by typefrom the column list below

string 16
date 2
datetime 1

Columns

19 columns in two groups

blueprint · 19 columns
column	type	description	example
Text 16 columns
`patient_id`	string	Unique identifier for each patient in the datasetunique	PAT-1001
`first_name`	string	Patient's first name	James
`last_name`	string	Patient's last name	Smith
`gender`	string	Patient's gendermale · female · other · unknown	male
`ethnicity`	string	Patient's self-reported ethnicityoptional	Caucasian
`address_street`	string	Patient's street addressoptional	1208 Maple Ave
`address_city`	string	Patient's city of residenceoptional	Chicago
`address_state`	string	Patient's state of residenceoptional	IL
`address_postal_code`	string	Patient's postal codeoptional	60614
`address_country`	string	Patient's country of residenceoptional	USA
`diagnosis_id`	string	Unique identifier for each diagnosis recordunique	DX-20001
`condition_code`	string	Standardized code for the chronic condition (e.g., ICD-10)	E11.9
`condition_name`	string	Name of the chronic condition diagnosed	Obesity, unspecified
`diagnosis_status`	string	Current status of the diagnosis (e.g., active, resolved, remission)active · resolved · remission · unknown	active
`diagnosed_by`	string	Identifier or name of the healthcare provider who made the diagnosisoptional	Dr. Karen Li
`diagnosis_notes`	string	Additional notes or comments about the diagnosisoptional	Diuretics prescribed.
Dates and times 3 columns
`date_of_birth`	date	Patient's date of birth	1982-03-15
`diagnosis_date`	date	Date when the chronic condition was diagnosed	2021-06-10
`last_updated`	datetime	Timestamp of the last update to this diagnosis record	2023-12-04T09:24:00

Use it for

A healthcare dashboard
A breakdown of address_state. 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
PAT-1001male
PAT-1002female
PAT-1003male
A software demo
Believable patients with first_name, last_name and date_of_birth to fill a screen in front of a buyer.

This dataset200 rows19 columns

Yours1,000 rows19 columnsaddress_street: UK only

blueprint · healthcare-chronic-condition-prevalence

Behind this dataset

Same schema. As many rows as you need.

These 200 rows came out of a blueprint — 19 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

Include patient age and demographics
Log diagnosis dates and condition type
Flag comorbidities
Aggregate by provider and region
Integrate hospitalization rates

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: healthcare-chronic-condition-prevalence

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?