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Default Of CPF Contributions By Employers, Monthly

Data from Jan 2014 to Dec 2023Updated 6 months ago

SINGSTAT (Singapore Department of Statistics)

Source: CENTRAL PROVIDENT FUND BOARD

Data Last Updated: 30/05/2024

Update Frequency: Monthly

Footnotes: Refers to the percentage of employers who default CPF payments one month after the grace period.

Adapted from: https://tablebuilder.singstat.gov.sg/table/TS/M183301

Data explorer

DefaultOfCPFContributionsByEmployersMonthly.csv (1 rows, 2.1 KB)

Data Series
Text
2023 Dec
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2023 Nov
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2023 Oct
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2023 Sep
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2023 Aug
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2023 Jul
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2023 Jun
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2023 May
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2023 Apr
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2023 Mar
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2023 Feb
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2023 Jan
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2022 Dec
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2022 Nov
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2022 Oct
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2022 Sep
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2022 Aug
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2022 Jul
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2022 Jun
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2022 May
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2022 Apr
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2022 Mar
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2022 Feb
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2022 Jan
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2021 Dec
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2021 Nov
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2021 Oct
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2021 Sep
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2021 Aug
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2021 Jul
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2021 Jun
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2021 May
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2021 Apr
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2021 Mar
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2021 Feb
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2021 Jan
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2020 Dec
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2020 Nov
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2020 Oct
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2020 Sep
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2020 Aug
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2020 Jul
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2020 Jun
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2020 May
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2020 Apr
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2020 Mar
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2020 Feb
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2020 Jan
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2019 Dec
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2019 Nov
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2019 Oct
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2019 Sep
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2019 Aug
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2019 Jul
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2019 Jun
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2019 May
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2019 Apr
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2019 Mar
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2019 Feb
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2019 Jan
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2018 Dec
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2018 Nov
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2018 Oct
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2018 Sep
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2018 Aug
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2018 Jul
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2018 Jun
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2018 May
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2018 Apr
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2018 Mar
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2018 Feb
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2018 Jan
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2017 Dec
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2017 Nov
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2017 Oct
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2017 Sep
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2017 Aug
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2017 Jul
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2017 Jun
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2017 May
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2017 Apr
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2017 Mar
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2017 Feb
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2017 Jan
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2016 Dec
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2016 Nov
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2016 Oct
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2016 Sep
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2016 Aug
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2016 Jul
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2016 Jun
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2016 May
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2016 Apr
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2016 Mar
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2016 Feb
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2016 Jan
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2015 Dec
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2015 Nov
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2015 Oct
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2015 Sep
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2015 Aug
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2015 Jul
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2015 Jun
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2015 May
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2015 Apr
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2015 Mar
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2015 Feb
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2015 Jan
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2014 Dec
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2014 Nov
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2014 Oct
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2014 Sep
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2014 Aug
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2014 Jul
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2014 Jun
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2014 May
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2014 Apr
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2014 Mar
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2014 Feb
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2014 Jan
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Default Of CPF Contributions By Employers [%] (Within Period)1.882.051.991.861.751.711.651.81.691.912.012.011.81.871.771.681.621.611.731.871.852.011.882.151.761.711.71.611.731.561.581.481.681.671.621.941.621.51.481.571.421.521.8122.092.151.921.881.651.791.81.711.811.9221.921.971.91.891.931.521.441.341.321.431.411.421.481.341.351.411.641.291.351.181.211.341.211.221.31.211.391.311.461.441.441.451.361.531.491.471.621.571.721.872.382.42.392.192.272.562.953.63.783.954.594.785.334.014.444.163.293.943.392.772.231.751.521.792.68

Column legend

Title
Column name
Data type
Unit of measure
Description
Data SeriesDataSeriesTextPer Cent-
2023 Dec2023DecNumericPer Cent-
2023 Nov2023NovNumericPer Cent-
2023 Oct2023OctNumericPer Cent-
2023 Sep2023SepNumericPer Cent-
2023 Aug2023AugNumericPer Cent-
2023 Jul2023JulNumericPer Cent-
2023 Jun2023JunNumericPer Cent-
2023 May2023MayNumericPer Cent-
2023 Apr2023AprNumericPer Cent-
2023 Mar2023MarNumericPer Cent-
2023 Feb2023FebNumericPer Cent-
2023 Jan2023JanNumericPer Cent-
2022 Dec2022DecNumericPer Cent-
2022 Nov2022NovNumericPer Cent-
2022 Oct2022OctNumericPer Cent-
2022 Sep2022SepNumericPer Cent-
2022 Aug2022AugNumericPer Cent-
2022 Jul2022JulNumericPer Cent-
2022 Jun2022JunNumericPer Cent-
2022 May2022MayNumericPer Cent-
2022 Apr2022AprNumericPer Cent-
2022 Mar2022MarNumericPer Cent-
2022 Feb2022FebNumericPer Cent-
2022 Jan2022JanNumericPer Cent-
2021 Dec2021DecNumericPer Cent-
2021 Nov2021NovNumericPer Cent-
2021 Oct2021OctNumericPer Cent-
2021 Sep2021SepNumericPer Cent-
2021 Aug2021AugNumericPer Cent-
2021 Jul2021JulNumericPer Cent-
2021 Jun2021JunNumericPer Cent-
2021 May2021MayNumericPer Cent-
2021 Apr2021AprNumericPer Cent-
2021 Mar2021MarNumericPer Cent-
2021 Feb2021FebNumericPer Cent-
2021 Jan2021JanNumericPer Cent-
2020 Dec2020DecNumericPer Cent-
2020 Nov2020NovNumericPer Cent-
2020 Oct2020OctNumericPer Cent-
2020 Sep2020SepNumericPer Cent-
2020 Aug2020AugNumericPer Cent-
2020 Jul2020JulNumericPer Cent-
2020 Jun2020JunNumericPer Cent-
2020 May2020MayNumericPer Cent-
2020 Apr2020AprNumericPer Cent-
2020 Mar2020MarNumericPer Cent-
2020 Feb2020FebNumericPer Cent-
2020 Jan2020JanNumericPer Cent-
2019 Dec2019DecNumericPer Cent-
2019 Nov2019NovNumericPer Cent-
2019 Oct2019OctNumericPer Cent-
2019 Sep2019SepNumericPer Cent-
2019 Aug2019AugNumericPer Cent-
2019 Jul2019JulNumericPer Cent-
2019 Jun2019JunNumericPer Cent-
2019 May2019MayNumericPer Cent-
2019 Apr2019AprNumericPer Cent-
2019 Mar2019MarNumericPer Cent-
2019 Feb2019FebNumericPer Cent-
2019 Jan2019JanNumericPer Cent-
2018 Dec2018DecNumericPer Cent-
2018 Nov2018NovNumericPer Cent-
2018 Oct2018OctNumericPer Cent-
2018 Sep2018SepNumericPer Cent-
2018 Aug2018AugNumericPer Cent-
2018 Jul2018JulNumericPer Cent-
2018 Jun2018JunNumericPer Cent-
2018 May2018MayNumericPer Cent-
2018 Apr2018AprNumericPer Cent-
2018 Mar2018MarNumericPer Cent-
2018 Feb2018FebNumericPer Cent-
2018 Jan2018JanNumericPer Cent-
2017 Dec2017DecNumericPer Cent-
2017 Nov2017NovNumericPer Cent-
2017 Oct2017OctNumericPer Cent-
2017 Sep2017SepNumericPer Cent-
2017 Aug2017AugNumericPer Cent-
2017 Jul2017JulNumericPer Cent-
2017 Jun2017JunNumericPer Cent-
2017 May2017MayNumericPer Cent-
2017 Apr2017AprNumericPer Cent-
2017 Mar2017MarNumericPer Cent-
2017 Feb2017FebNumericPer Cent-
2017 Jan2017JanNumericPer Cent-
2016 Dec2016DecNumericPer Cent-
2016 Nov2016NovNumericPer Cent-
2016 Oct2016OctNumericPer Cent-
2016 Sep2016SepNumericPer Cent-
2016 Aug2016AugNumericPer Cent-
2016 Jul2016JulNumericPer Cent-
2016 Jun2016JunNumericPer Cent-
2016 May2016MayNumericPer Cent-
2016 Apr2016AprNumericPer Cent-
2016 Mar2016MarNumericPer Cent-
2016 Feb2016FebNumericPer Cent-
2016 Jan2016JanNumericPer Cent-
2015 Dec2015DecNumericPer Cent-
2015 Nov2015NovNumericPer Cent-
2015 Oct2015OctNumericPer Cent-
2015 Sep2015SepNumericPer Cent-
2015 Aug2015AugNumericPer Cent-
2015 Jul2015JulNumericPer Cent-
2015 Jun2015JunNumericPer Cent-
2015 May2015MayNumericPer Cent-
2015 Apr2015AprNumericPer Cent-
2015 Mar2015MarNumericPer Cent-
2015 Feb2015FebNumericPer Cent-
2015 Jan2015JanNumericPer Cent-
2014 Dec2014DecNumericPer Cent-
2014 Nov2014NovNumericPer Cent-
2014 Oct2014OctNumericPer Cent-
2014 Sep2014SepNumericPer Cent-
2014 Aug2014AugNumericPer Cent-
2014 Jul2014JulNumericPer Cent-
2014 Jun2014JunNumericPer Cent-
2014 May2014MayNumericPer Cent-
2014 Apr2014AprNumericPer Cent-
2014 Mar2014MarNumericPer Cent-
2014 Feb2014FebNumericPer Cent-
2014 Jan2014JanNumericPer Cent-
Google colab link
Analyse this dataset with Colab Notebook
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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_705239eced95114fb7a3e05071207472"
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.

Singapore Department of Statistics. (2024). Default Of CPF Contributions By Employers, Monthly (2024) [Dataset]. data.gov.sg. Retrieved May 5, 2025 from https://data.gov.sg/datasets/d_705239eced95114fb7a3e05071207472/view

About this dataset

Contact

feedback@data.gov.sg

Created on

24 Oct 2024

Licence

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

Agency

SINGSTAT (Singapore Department of Statistics)