India Workforce Confidence Index

Workforce Confidence Index → India

The LinkedIn Market Research team surveys its members daily to understand how they’re feeling about their careers, current company, personal finances and more. Every two weeks the team aggregates the survey data to analyze the latest in Workforce Confidence trends. Consumer confidence measures have historically been a key indicator of the economy, and LinkedIn is in a unique position to measure how people feel, to understand what challenges they’re facing and help find them solutions.

In the WCI survey, we ask LinkedIn members about:

1. Their confidence in their ability to get/hold a job, improve their financial situation and progress in their career. We then calculate an ICI (Individual Confidence Index) score from their opinions by assigning each respondent a score (-100, -50, 0, +50, +100), based on how much they agree or disagree with the three statements, and then create a composite average score across all statements.

2. Their confidence in how their employer will fare in the next six months (better or worse than it is currently doing) and calculate a CIE (Confidence in Employer) outlook score from these opinions. The CIE outlook is the percentage of people who said their employer will be "better off" minus the percentage of people who said it will be "worse off" in the next six months.

3. Workforce trends like the desire for flexibility, four-day work weeks, mental health benefits and more.

Select a category below and you will be directed to the corresponding up-to-date data.

Individual confidence in India | Confidence in employers in India | Workforce trends in the India

In the WCI survey, we ask LinkedIn members about their confidence in their ability to get/hold a job, improve their financial situation and progress in their career. We then calculate an ICI (Individual Confidence Index) score from their opinions by assigning each respondent a score (-100, -50, 0, +50, +100), based on how much they agree or disagree with the three statements, and then create the composite average score across all statements.

Two years after the start of the global COVID-19 pandemic, Indian workforce confidence was improving:

In the WCI survey, we ask LinkedIn members about their confidence in how their employer will fare in the next six months (better or worse) and calculate a CIE (Confidence in Employer) outlook score from these opinions. The CIE outlook is the percentage of people who said their employer will be "better off" minus the percentage of people who said it will be "worse off" in the next six months.

At the start of the pandemic, Indian workers had low confidence in their employers (CIE) with a score of +17. While there have been numerous ups and downs over the last 2 years, CIE has trended up, and was at +62 in April 2022.

Every quarter, we ask LinkedIn members a series of new survey questions on workforce trends. Almost 5,500 Indian professionals responded to the following survey question between Dec. 4, 2021 and Mar. 11, 2022:

Which of the following statements best describes your attitude towards your current job? In the next 6 months…

• I plan/hope to stay in my current role
• I plan/hope to take a new role at my current employer
• I plan/hope to leave my job at my current employer
• I do not have specific plans/hopes about my current job

Kicking off 2022, only a quarter of employed Indians (26%) planned to stay in their current role in the next six months; 24% sought internal mobility and another 23% planned to leave their company.

LinkedIn’s Workforce Confidence Index is based on a quantitative online survey from LinkedIn’s Market Research team that is distributed to members via email every day and aggregated every two weeks. Roughly 1,000 Indian-based members respond to each two-week wave of the survey. Members are randomly sampled and must be opted-in to research to participate. Students, stay-at-home partners, and retirees are excluded from analysis to get an accurate representation of those currently active in the workforce. We analyze data in aggregate and will always respect member privacy.

Data is weighted by engagement level to ensure fair representation of various activity levels on the platform. The results represent the world as seen through the lens of LinkedIn’s membership; variances between LinkedIn’s membership and the overall market population are not accounted for.