Daily COVID-19 Cases by Age Group & State
Data as of 04 May 2024, 23:59Daily COVID-19 cases at national and state level, broken down by age group.
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How is this data produced?
Building on the base dataset, this dataset tabules new COVID-19 cases by age either based on the individual's IC number (for Malaysians with an IC number) or based on the age declared in the COVID-19 test result declaration (for cases without an IC number or non-Malaysians).
What caveats I should bear in mind when using this data?
In a small minority (~1.5%) of cases, no age was declared or able to be derived. As such, the total number of cases derived from summing the cases for all age groups in this dataset will be less than the number of cases in the base dataset.
Publication(s) using this data
KKMNOW features a dashboard on COVID-19 where you can explore the data in a more interactive manner!
Metadata
Dataset description
Daily COVID-19 cases at national and state level, broken down by age group.
Variable definitions
- Date
- State
- Child Cases
- Adolescent Cases
- Adult Cases
- Elderly Cases
- Cases Aged 0-4
- Cases Aged 5-11
- Cases Aged 12-17
- Cases Aged 18-29
- Cases Aged 30-39
- Cases Aged 40-49
- Cases Aged 50-59
- Cases Aged 60-69
- Cases Aged 70-79
- Cases Aged 80
Name in Dataset | Variable | Definition |
|---|---|---|
date (Date) | Date | Date in YYYY-MM-DD format |
state (Categorical) | State | One of 16 states, or Malaysia |
cases_child (Integer) | Child Cases | Number of new COVID-19 cases aged 11 and under |
cases_adolescent (Integer) | Adolescent Cases | Number of new COVID-19 cases aged 12-17 |
cases_adult (Integer) | Adult Cases | Number of new COVID-19 cases aged 18-59 |
cases_elderly (Integer) | Elderly Cases | Number of new COVID-19 cases aged 60 and above |
cases_0_4 (Integer) | Cases Aged 0-4 | Number of new COVID-19 cases aged 0-4 |
cases_5_11 (Integer) | Cases Aged 5-11 | Number of new COVID-19 cases aged 5-11 |
cases_12_17 (Integer) | Cases Aged 12-17 | Number of new COVID-19 cases aged 12-17 |
cases_18_29 (Integer) | Cases Aged 18-29 | Number of new COVID-19 cases aged 18-29 |
cases_30_39 (Integer) | Cases Aged 30-39 | Number of new COVID-19 cases aged 30-39 |
cases_40_49 (Integer) | Cases Aged 40-49 | Number of new COVID-19 cases aged 40-49 |
cases_50_59 (Integer) | Cases Aged 50-59 | Number of new COVID-19 cases aged 50-59 |
cases_60_69 (Integer) | Cases Aged 60-69 | Number of new COVID-19 cases aged 60-69 |
cases_70_79 (Integer) | Cases Aged 70-79 | Number of new COVID-19 cases aged 70-79 |
cases_80 (Integer) | Cases Aged 80 | Number of new COVID-19 cases aged 80 and above |
Last updated:
05 May 2024, 12:00
Next update:
12 May 2024, 12:00
Data source(s)
- MoH
URLs to dataset
License
This data is made open under the Creative Commons Attribution 4.0 International License (CC BY 4.0). A copy of the license is available Here.
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Data
Full Dataset (CSV)
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Full Dataset (Parquet)
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Code
Connect directly to the data with Python.
# If not already installed, do: pip install pandas fastparquet
import pandas as pd
URL_DATA = 'https://storage.data.gov.my/healthcare/covid_cases_age.parquet'
df = pd.read_parquet(URL_DATA)
if 'date' in df.columns: df['date'] = pd.to_datetime(df['date'])
print(df)Sample OpenAPI query
The following code is an example of how to make an API query to retrieve the data catalogue mentioned above. You can use different programming languages by switching the code accordingly. For a complete guide on possible query parameters and syntax, please refer to the official Open API Documentation.
import requests
import pprint
url = "https://api.data.gov.my/data-catalogue?id=covid_cases_age&limit=3"
response_json = requests.get(url=url).json()
pprint.pprint(response_json)
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