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Health

Top 10 Conditions of Hospitalisation

Data from Jan 1990 to Jan 2024Updated 25 days ago

MOH (Ministry of Health)

Top 10 conditions of hospitalisation

The Tabulation List of The International Classification of Diseases - Tenth Revision (ICD10AM) has replaced the Ninth Revision as the adopted code set for the derivation of causes of hospitalisation w.e.f Year 2012.

Top 10 Conditions of Hospitalisation

Data explorer

Top10ConditionsofHospitalisation.csv (350 rows, 18.7 KB)

Year Year (YYYY)	Rank Text	Icd Text	Classification Text	Disease Condition Text	Percentage Discharges Text
(Null)0.0% 19902.9% 19912.9% 19922.9% 19932.9%	(Null)0.0% 110.0% 210.0% 310.0% 410.0%	(Null)0.0% ICD962.9% ICD10AM26.9% ICD1010.3%	(Null)0.0% 140-2086.3% 410-4146.3% 800-9996.3% 490-493 & 4966.3%	(Null)0.0% Cancer10.0% Other heart diseases10.0% Ischaemic heart diseases10.0% Pneumonia9.4%	(Null)0.0% 26.0% 1.96.6% 2.36.0% 2.15.7%
1990	1	ICD9	800-999	Accidents, poisoning & violence	8.3
1990	2	ICD9	140-208	Cancer	3.9
1990	3	ICD9	640-648	Complications related to pregnancy	3.5
1990	4	ICD9	490-493 & 496	Chronic obstructive lung disease	3.1
1990	5	ICD9	410-414	Ischaemic heart diseases	2.8
1990	6	ICD9	001-009	Intestinal infectious diseases	2
1990	7	ICD9	366	Cataract	1.9
1990	8	ICD9	393-398, 402, 415- 429	Other heart diseases	1.5
1990	9	ICD9	210-229	Benign neoplasms	1.4
1990	10	ICD9	740-759	Congenital anomalies	1.2

Column legend

Title	Column name	Data type	Unit of measure	Description
Year	year	Year (YYYY)	-	-
Rank	rank	Text	-	-
Icd	icd	Text	-	-
Classification	classification	Text	-	-
Disease Condition	disease_condition	Text	-	-
Percentage Discharges	percentage_discharges	Text	-	-

Analyse this dataset with Colab Notebook

1. Copy this dataset ID: d_5961507eed5bede3dc9ea02432153de4
2. Click on the button below

Sample OpenAPI query

This code can be used to test a sample API query. It retrieves the data catalogue of this dataset. For a complete guide on query parameters and syntax, please refer to the API documentation. Try it out on your browser to see the response schema.

import requests
          
dataset_id = "d_5961507eed5bede3dc9ea02432153de4"
url = "https://data.gov.sg/api/action/datastore_search?resource_id="  + dataset_id 
        
response = requests.get(url)
print(response.json())

Citation

This dataset can be reused and cited in research publications.

Ministry of Health. (2017). Top 10 Conditions of Hospitalisation (2025) [Dataset]. data.gov.sg. Retrieved April 28, 2025 from https://data.gov.sg/datasets/d_5961507eed5bede3dc9ea02432153de4/view

About this dataset

Contact

Erica_ONG@moh.gov.sg TAN_Le_Yi@moh.gov.sg

Created on

18 Feb 2017

Licence

Free forever for personal or commercial use, under the Open Data Licence.

Agency

MOH (Ministry of Health)