diff --git a/data/parsers/singapore.py b/data/parsers/singapore.py
new file mode 100644
index 000000000..a8bd279f4
--- /dev/null
+++ b/data/parsers/singapore.py
@@ -0,0 +1,49 @@
+# -*- coding: utf-8 -*-
+"""
+Created on Sat May 23 23:15:07 2020
+
+@author: hxchua
+"""
+
+import sys
+import requests
+import csv
+import io
+from datetime import datetime
+import pandas as pd
+
+from .utils import store_data, stoi
+
+# ------------------------------------------------------------------------
+# Globals
+
+URL  = "https://raw.githubusercontent.com/hxchua/datadoubleconfirm/master/datasets/covid19_sg.csv"
+cols = ['time', 'cases', 'deaths', 'hospitalized', 'icu', 'recovered']
+
+# ------------------------------------------------------------------------
+# Main point of entry
+
+def parse():
+    r  = requests.get(URL)
+    if not r.ok:
+        print(f"Failed to fetch {URL}", file=sys.stderr)
+        exit(1)
+        r.close()
+    sg_data = dict(Singapore=[])
+    
+    df = pd.read_csv(URL)
+    
+    df.loc[df['Date'] <= '2020-03-19', 'hosp_cleaned'] = df['Still_Hospitalised'] - df['Intensive_Care_Unit_(ICU)']   
+    df.loc[df['Date'] > '2020-03-19', 'hosp_cleaned'] = df['General_Wards_MOH_report'] 
+    
+    for i in range(0,df.shape[0]):
+        date_str = df['Date'][i]
+        num_cases = df['Cumulative_Confirmed'][i]
+        num_deaths = df['Cumulative_Deaths'][i]
+        num_hosp = df['hosp_cleaned'][i].astype(int)
+        num_icus = df['Intensive_Care_Unit_(ICU)'][i]
+        num_recovered = df['Cumulative_Discharged'][i]
+
+        sg_data["Singapore"].append([date_str, num_cases, num_deaths, num_hosp, num_icus, num_recovered])
+    
+    store_data(sg_data, 'singapore', cols)
\ No newline at end of file
diff --git a/data/sources.json b/data/sources.json
index 756d9ddbf..a0b27b4b6 100644
--- a/data/sources.json
+++ b/data/sources.json
@@ -74,6 +74,11 @@
     "dataProvenance": "https://www.mhlw.go.jp/stf/seisakunitsuite/bunya/0000121431_00086.html",
     "license": "MIT license"
   },
+  "singapore": {
+    "primarySource": "https://github.com/hxchua/datadoubleconfirm/blob/master/datasets/covid19_sg.csv",
+    "dataProvenance": "https://data.world/hxchua/covid-19-singapore",
+    "license": "MIT license"
+  },
   "ecdc": {
     "primarySource": "https://www.ecdc.europa.eu/sites/default/files/documents/COVID-19-geographic-disbtribution-worldwide-<DATE>-xlsx",
     "dataProvenance": "European Centre for Disease Prevention and Control",