Politare

Employment rate, 15–64 during each chief minister or Menteri Besar's tenure

16 chief ministers, Menteri Besar and territory ministers, ranked by how the employment rate, 15–64 changed from their first day in office, next to Malaysia over the same months. Politare shows what happened during a tenure; it does not claim the office-holder caused it.

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Tenures
Period
Order
#Chief minister or Menteri BesarStateIn officeTotalvs MYPer yearChart
1 Adnan Yaakob Pahang 20 May 1999 – 15 May 2018 +8.3 pp 1998 → 2017+4.8 pp MY +3.5 pp+0.4 pp/yr
2 Abdul Khalid Ibrahim Selangor 13 Mar 2008 – 23 Sep 2014 +6.7 pp 2007 → 2014+2.2 pp MY +4.5 pp+1.0 pp/yr
3N Raja Nong Chik Zainal Abidin Labuan 10 Apr 2009 – 16 May 2013 +5.2 pp 2008 → 2012+2.2 pp MY +3.0 pp+1.3 pp/yr
4 Chow Kon Yeow Penang 14 May 2018 – now +4.6 pp 2017 → 2025+1.6 pp MY +3.0 pp+0.6 pp/yr
5 Amirudin Shari Selangor 19 Jun 2018 – now +3.3 pp 2017 → 2025+0.3 pp MY +3.0 pp+0.4 pp/yr
6 Azlan Man Perlis 7 May 2013 – 22 Nov 2022 +3.3 pp 2012 → 2022+0.3 pp MY +3.0 pp+0.3 pp/yr
7 Mohamed Azmin Ali Selangor 23 Sep 2014 – 19 Jun 2018 +3.3 pp 2014 → 2017+3.3 pp MY 0.0 pp+1.1 pp/yr
8 Saarani Mohamad Perak 10 Dec 2020 – now +3.2 pp 2020 → 2025−0.1 pp MY +3.3 pp+0.6 pp/yr
9 Idris Haron Melaka 7 May 2013 – 11 May 2018 +3.1 pp 2012 → 2017+1.0 pp MY +2.1 pp+0.6 pp/yr
10 Muhammad Sanusi Md Nor Kedah 17 May 2020 – now +2.9 pp 2019 → 2025+0.6 pp MY +2.3 pp+0.5 pp/yr

Showing 10 of 50 tenures.

Sorted by total, highest first. Every row is indexed to the last count complete before the first day in office ("from" marks a start that had to move because that count had no data, or because the period cut it); Malaysia is measured over the same months. Levels are per cent changes, rates are differences in pp; "per year" compounds levels and divides rates. Tenures with under 12 months, or under three observations, are left out. % of the population aged 15–64 · Department of Statistics Malaysia (OpenDOSM, data.gov.my), Labour Force Survey, employment-to-population ratio by state, ages 15 to 64, yearly (lfs_state_sex), dated at mid-year · state or federal territory data · as of Sep 2026.

Sources: Department of Statistics Malaysia (OpenDOSM, data.gov.my: national and state accounts, Labour Force Survey, Salaries & Wages Survey, consumer prices, population estimates, Household Income Survey; the Royal Malaysia Police's crime figures), NAPIC's house price index via the BIS, Natural Earth, World Bank (Worldwide Governance Indicators), V-Dem Institute, Transparency International, World Happiness Report, Wikidata, Wikimedia Commons; office-holders checked against the states' official lists. Every chart is indexed to the office-holder's first day. Correlation is not credit. CreditsPrivacy