TFR and ASFR

Data as of 2022

Total fertility rate (TFR) and age-specific fertility rates (ASFR) from 1958 to the present at national level.

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Table

Fertility Rate

How is this data produced?

An age-specific fertility rate (ASFR) is the average number of births per 1,000 women in a specific age group. The ASFRs shown in this dataset are computed from administrative records of births registered with JPN (which record the age of the mother), as well as population data from DOSM as the denominator.

The total fertility rate (TFR) is the average number of children born to a woman who goes through her child-bearing years experiencing the ASFR of each age group. It is computed by:

  • Summing the ASFRs of all age groups, then
  • Multiplying the number by 5 to account for the size of each age group, and finally
  • Dividing by 1000 (to convert the figure from per 1000 women to per woman.

What caveats I should bear in mind when using this data?

ASFR values are based on the actual number of live births per 1000 women in each 5-year age group. However, when interpreting TFR values, it is important to note that the TFR is based on a hypothetical woman who goes through her child-bearing years experiencing the ASFR of each age group. This is not equivalent to the actual average number of children born to currently-living female citizens aged 15-49, as this number would be a reflection of past rather than current ASFR values.

Publication(s) using this data

OpenDOSM features a dashboard on Population & Vital Statistics where you can explore this data in a more interactive manner!

Metadata

Dataset description

Total fertility rate (TFR) and age-specific fertility rates (ASFR) from 1958 to the present at national level.

Variable definitions
  • Date
  • Age Group
  • Fertility Rate
Last updated:

17 Oct 2023, 12:00

Next update:

17 Oct 2024, 12:00

Data source(s)
  • DOSM
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.dosm.gov.my/demography/fertility.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=fertility&limit=3" response_json = requests.get(url=url).json() pprint.pprint(response_json)
jata negara

Department of Statistics Malaysia

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