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BackLabour Bureau reading for DA hike: Central government employees likely to get 3% DA hike
Labour Bureau reading for DA hike: Central government employees likely to get 3% DA hike
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Economic Times01.07.2026Business3 dk okumaIndia

Labour Bureau reading for DA hike: Central government employees likely to get 3% DA hike

L'essentiel

  • The Labour Bureau's May 2026 AICPI-IW reading of 150.8 suggests central government employees will likely receive a 3% dearness allowance (DA) hike, increasing DA to 63%.
  • A 4% hike is improbable unless June's reading significantly rises, with the final outcome dependent on June inflation data and government decision.

Résumé généré par IA

Pourquoi c'est important

The Labour Bureau released the May 2026 AICPI-IW data at 150.8, which is used to calculate the dearness allowance for central government employees. The DA currently stands at 60% after a 2% increase in January 2026.

Taille de police

The Labour Bureau has put out the monthly reading for the All India Consumer Price Index (Industrial Worker) (AICPI-IW) for May, 2026, at 150.8. This index is crucial for calculating the dearness allowance (DA) for central government employees and is the highest it has been in the last 12 months, accordig to Labour Bureau data. However, the DA hike for June 2026 will be known only after the Labour Bureau releases the June AICPI reading at the end of July.

Following a 2% increase in January 2026, the DA for central government employees stands at 60%. The May reading shows that the DA hike is likely to be 3%. But can it reach 4% after the June inflation data is released? Let’s find out.

AICPI -IW index data of last 12 months (From June 2025-May 2026)

Particulars | AICPI-IW reading ---|--- Jun-25 | 145 Jul-25 | 146.5 Aug-25 | 147.1 Sep-25 | 147.3 Oct-25 | 147.7 Nov-25 | 148.2 Dec-25 | 148.2 Jan-26 | 148.6 Feb-26 | 148.5 Mar-26 | 149.1 Apr-26 | 149.9 May-26 | 150.8 Average | 148.075

Source: Labour Bureau

How is DA for central government employees calculated?

DA is calculated based on a formula-

DA% = [{12-month average of AICPI-IW (base year 2001)– 261.42}/261.42x100]

However, we will first have to link the 2016 base values to the 2001 base values by multiplying it by 2.88.

The factor of 2.88 is arrived at to equate the latest base year (2016) to 2001. Labour Bureau data shows that for August 2020, the value of CPI-IW under the old base (2001=100) was 33.8 and CPI-IW under the new base (2016=100) was 117.4, so the factor is calculated as 338 ÷ 117.4= 2.88.

What is the DA rate as per current AICPI-IW reading?

DA%= (148.075X2.88)– 261.42}/261.42x100]

= (426.456-261.42)/(261.42)X100

= .6313X100

= 63.13%

Since the government takes the nearest round figure value to determine the DA hike, it will be 63%, which means a 3% hike from January 2026.

Can DA reach 64% after the Labour Bureau releases the June 2026 AICPI-IW index reading?

DA can reach 64% only if the average 12-month inflation reach 148.86 after the June data. For that, the June AICPI-IW index reading should be 154.5, which is not easy given the last 12-months pattern.

However, the real magnitude of the DA hike will be known only after the government announces it.

How DA hike impacts the salary of a central government employee

Let’s take the example of a Level 6 employee whose minimum basic salary is Rs 35,400. At a 50% DA, their salary will be= Rs 35,400+(50% of Rs 35,400)= Rs 35,400+Rs 17,700= Rs 53,100.

If the same employee gets a DA 3% hike, their new salary will be= Rs 35,400+(53% of Rs 35,400)= Rs 35,400+Rs 18,762= Rs 54,162.

It means because of a 3% DA hike, their salary will increase by Rs 1,062.

À surveiller

Perspective IA — des possibilités, pas des certitudes

  • Central government employees will receive a 3% dearness allowance hike.

    Très probable · En quelques mois

  • A 4% dearness allowance hike is unlikely.

    Peu probable · En quelques mois

Questions ouvertes

  • What will be the June AICPI-IW reading?
  • What will be the government's final decision on the DA hike?

Sujets liés

This article was originally published by Economic Times.

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