India Employee Speak 2007
Jul 11, 2015
India Employee Speak 2007
Current HR Trends
India Employee Speak 2007
Current HR Trends
India Employee Speak 2007
© copyright JuxtConsult
Current HR Trends
India Employee Speak 2007
Table of contents India Employee Speak 2007 ............................................. 1 India Employee Speak 2007 Reports ................................... 2 Methodology............................................................... 3 Executive Summary ...................................................... 5 Key Findings ............................................................... 7 Detailed Findings- Current Terms of Employment ........................................21 Age at First Job ..........................................................23 Total Work Experience .................................................26 Number of Jobs Held....................................................29 Proportion Who Moved Jobs with a Promotion .....................32 Total Work Experience .................................................35 Average Tenure per Job ................................................37 Tenure with Current Company ........................................38 Demographic Profile ....................................................43 Socio-Economic Profile .................................................62 Segment Wise Detailed Tables ........................................64
Current HR Trends
India Employee Speak 2007
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India Employee Speak 2007 India Employee Speak 2007 is one of the largest survey based annual HR studies on the latest ‘white collar’ HR trends and corporate perceptions in India. The study attempts to uncover the HR trends in all types of industry segments and companies. It not only profiles the work experience details and current job satisfaction levels of those currently employed but also uncovers job aspirations and expectations of those who aspire to be employed soon. The study also delves into the job search behavior and preferences of both the currently employed as well as the prospective ‘white collar’ employees. The India Employee Speak 2007 reports are designed to provide you with:
Insightful understanding of key current HR trends and issues in the white collar world - employment terms, average tenures, salary levels and benefits, employee expectations, satisfaction levels, improvements desired, etc.
Comparative trends - by industry segments, sectors, size of
companies, job functions, hierarchy levels, etc.
Expected future trends - based on current aspirations and intentions of employees and prospective employees.
Employee expectations and aspirations – employee speak on good
job content, HR policies, corporate reputations, etc.
Job search dynamics – active versus passive search, preferred search methods, preferred job search intermediaries (both offline and online) and their perceptions.
Corporate brand perceptions - attractiveness of companies on key
corporate image parameters and key HR parameters (both at the overall level as well as at the industry level).
Demographic and socio-economic statistics on current and potential
while collar employees.
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India Employee Speak 2007 Reports Main Reports
Current white collar employment trends and practices
Current job search behavior and preferences
Current employee expectations, motivations, satisfaction and desired improvements
Current company perceptions on key corporate and HR parameters
Possible Supplementary Reports
Category Reports∗ (examples)-
Industry specific (IT/ITES, Consumer Goods, Consumer Services, industrial Goods, Banking/Finance)
Function specific (Marketing, Finance/Accounts, Admin & General
Management, IT) Segment Reports∗ (examples)-
Women (vis-à-vis men)
Qualified professionals (vis-à-vis general qualification ones)
Corporate employees on the net
Fresher (vis-à-vis the working ones)
∗ depending on the sufficiency of sample size of relevant respondents
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Methodology The India Employee Speak 2007 study findings are based on a very large sample base of over 16,500 current and prospective employees surveyed online in April-May 2007. The online surveys were conducted through an e-mailer campaign undertaken by a leading generic portal in India among their opted-in and active email users, as well as banner and text ads using Google Ad Sense (contextual search ads). The online survey was conducted using an e-questionnaire segmented into three sections. In the online questionnaire, a response format of ‘clicking’ a single or multiple options among the various given options was used for most questions. For each of these questions it was also possible for a respondent to answer ‘none’ or ‘any other’. However, all perceptions, associations and recall based answers were collected ‘unprompted’ and respondents were asked to type in the name of the company in a ‘text box’ provided for the purpose. To enlist complete and sincere responses, an incentive of a significant cash prize was also announced to be given to one randomly selected respondent at the end of the survey. The questionnaire was pre-tested and timed to take approximately 20 minutes (± 5 minutes) for a respondent to complete depending on the speed of comprehension and answering of the questions. The questionnaire was structured and designed to reduce the level of ‘respondent fatigue’ to an extent that was practically possible. Over 16,500 unduplicated and clean responses were collected from the online survey campaign in about 4 weeks time. The responses covered employees of over 4,765 companies of various sizes from all types of industry segments, sectors, job functions and hierarchy levels. These respondents came from over 2, 975 unique universities and educational institute alumni. Table 1: Sample sizes achieved in the online survey
Employment Profile Sample Size %
Salaried employees 9,000 55%
Completed studies but unemployed 1,315 8%
Students 3,232 20%
Others (self-employed, business owners, retired) 2,772 17%
Total Sample 16,319 100%
The collected data was then made representative of the urban Indian population by using appropriate 'demographic multipliers’ using highly authentic Govt. of India population statistics. The weights were derived using 4 highly employment relevant demographic parameters – age, socio-economic classification (SEC), town class and region.
The end result is that the findings possibly represent the 'white collar' employment and HR trends of over 160 million urban Indians (almost
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half of the total urban Indian population of around 336 million in 20071). Further, the findings represent and effectively cover urban Indians from all SEC groups, all age groups above 18 years, all income groups and all types of town classes (right down to 20,000 population size level towns). Table 2: Urban population representation of the survey sample data
Demographic Attributes Study Respondent Profile Actual Urban Population2
Below 18 years Not included in study NA
18-24 years 38% 33%
25-35 years 25% 27%
36-45 years 19% 18%
Age Distribution
Above 45 years 18% 22%
SEC - A 17% 9%
SEC – B 31% 18%
SEC - C 52% 25%
Socio Economic Classification
SEC – D & E Not included in study 48%
Up to 1 Lakh 25% 31%
1-5 Lakhs 9% 27%
5-30 Lakhs 40% 25% City Type by Population Size
Above 30 Lakhs 26% 17%
North 23% 24%
East 13% 15%
South 32% 29%
Region-wise Distribution
West 32% 32%
The occupational break up of over 160 million urban Indians as represented in this study is as follows:
Salaried employees - 52% - 83 million Completed studies but unemployed - 5% - 8 million Students - 27% - 43 million Self-employed - 8% - 13 million Business owners - 4% - 6.5 million Retired - 4% - 6.5 million
Total - 100% - 160 million The study broadly represents employment profiles, status, preferences, and job search behavior and company perceptions of 83 million white collar salaried employees. It further covers employment preferences, job search behavior and corporate perceptions of 51 million ‘prospective’ white collar employees. Lastly it includes corporate perceptions of additional 26 million important ‘influencers’ in the employment market (retired employees, self-employed individuals and business owners).
1 Estimate by Indicus Analytics, a leading economic research firm in India. The estimates have been derived using Census 2001 population data extrapolated to year 2007 using decadal population growth numbers.
2 Same as 1
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Executive Summary Full time employment is the norm among urban white-collar employees – only 2% hold part-time positions. Interestingly, the incidence of part-time jobs is slightly higher among those working in NGOs, IT, Consumer Services and Banking/Finance jobs and also in Emerging Towns. Females constitute about one-tenth of the urban white-collar workforce. The gender ratio improves in the IT, Consumer Services and Consumer Good industries as well as in the Private sector and in NGOs. Female employees are also relatively more common in HRs, Office Administration and Accounts /Finance roles and in Metros. The typical employee is middle-aged at 36.3 years. While less than one-fifth of the employee base is below 25 years, over a third is 25-35 years old and the majority viz. nearly half the workforce is above 35 years of age. Those employed in the Private sector, working in IT, Consumer Goods and Healthcare industries are relatively younger. About 2-in-5 are from relatively smaller towns. If Metros and Urban Uptowns account for 58% of the urban white-collar workforce, the Emerging Towns and Other Towns account for a sizeable 42%. In fact while Public Sector employees largely originate from the smaller towns (73%), employees of NGOs are primarily from Metros (76%) and the Private Sector has a sizeable contribution from Metros and Urban Uptowns (59%). Only 1-in-5 holds a ‘professional’ educational degree. In fact ‘professional’ stream post-graduates number even fewer at 1-in-10. The clear majority, 66%, has either not pursued an under-graduate degree or has done so in a general stream. The incidence of ‘professional’ employees is higher in IT, Healthcare, Core Industries and in the HR function. The socio-economic profile is largely commonplace - only 1-in-5 belongs to the ‘premium’ stratum. A minority, 21%, belongs to SEC A and a similar proportion claims monthly household income levels of Rs.30,000 or more. This also gets reiterated by the low ownership of cars (23%) and credit cards (41%). The average age for entering the white-collar workforce is 23 years. While nearly a third starts working when they turn 20 years old or even earlier, the majority does so only later. This offers an explanation for the fairly ‘old’ age profile of the average employee. The initiation age is slightly lower (22 years)among those who belong to Metros /Urban Uptowns, those who have not pursued higher education post schooling and for those engaged in Office Administration functions or in the Government sector. Experience runs high with the average work experience adding up to 13 years. This ties up with the aforementioned age profile and is also
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not surprising since over half (51%) the employees have work experience of 10 years or more and about a fourth (26%)have been in the workforce for at least 2 decades! The work experience is higher among those engaged in Marketing/Communication Services or Core Industries and those in the Office Administration function. Among the town classes, the work experience of those in smaller towns is relatively higher (13.3 years compared to 10.8 years among Metro employees). On the other hand, those working in the Private sector especially in the IT sector have lower work experience. The average number of jobs held is 2.7 although 1-in-4 has held 4 or more jobs. While half the workforce has held 1 or 2 jobs, the balance has held at least 3 jobs. The number of jobs held is relatively higher among Private sector employees, among those engaged in Consumer Goods, Consumer Services, Core Industries, Healthcare and those in the HR function. Employees in larger towns have held more jobs on an average than their counterparts in smaller towns. While the typical tenure with the current company is 7.7 years, the average tenure per job is significantly lower at 4.7 years. The length of the tenure varies interestingly across the various segments. Those employed in Marketing/ Communication Service, Banking/ Finance, Core Industries or engaged in Accounts/ Finance or Administrative functions tend to stick on longer in their jobs while those the Private sector especially in IT industries and those engaged in Marketing, Design/ Creative functions change relatively jobs faster. Employees in small towns also show a relatively higher average tenure per job. Over half the workforce earns up to Rs.2 lacs annually and the average annual package is roughly Rs.2.6 lacs. Packages are relatively better among Private Sector companies, among Core Industries and in the IT, HRs and Accounts/Finance functions. Surprisingly, employees in Urban Uptowns and Other towns have higher salary and benefits packages on an average than their counterparts in Metros. Most aspire for jobs in the Private Sector especially in Core Industries and IT companies. This could be partly on account of the higher salary packages drawn by employees in the Private Sector and in these industries. The Private Sector is specially sought after by those in Government jobs. The majority would move out of Healthcare, Marketing and Consumer Services industries if given a choice. IT and Core Industries not only top the list of aspired industries overall but also have the highest ‘loyalty’ in terms of proportion of employees voting for their current industry. Bonus, HRA and Medical Reimbursement are the most sought after company benefits. Nearly 3-in-4 employees aspire for these benefits. Employer’s contribution to Provident Fund and LTA are lower in the list. Driver allowance, Company leased car and Stock Options – which are currently fairly rare benefits- are also desired by a sizeable proportion of employees.
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97.6%
2.0% 0.4%
Full-time Part time Apprenticeship / Internship
11%
89%
0%
30%
60%
90%
All white collar
Male Female
Key Findings Full time employment is the norm among white collar employees – only 2% hold part-time positions
Interestingly, the incidence of part-time jobs is slightly higher among those working in NGOs (11%), IT (5%), Consumer Services (4%) and Banking/Finance (4%) jobs and also in Emerging Towns (3%). Part-time jobs are also somewhat more common among the latest entrants to the workforce – About 6% of those with experience of less than a year, have a part-time/apprenticeship arrangement with their employer.
Females constitute about one-tenth of the urban white-collar workforce
Males dominate the white-collar ‘employee-scape’ with a whopping 89% share.
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14%
26%22%
3%
35%
0%
10%
20%
30%
40%
All white collar
Below 21 years 21-25 years 25-35 years35-45 years Above 45 years
The gender ratio improves in the IT, Consumer Services and Consumer Good industries as well as in the Private sector and in NGOs. Table 3: Distribution of employees by gender, by industry verticals
Female employees are also relatively more common in HRs, Office Administration and Accounts /Finance roles and in Metros. An interesting observation is that while the share of Female employees among Trainees/ Freshers is 22%, this alarmingly reduces to 6% among Senior Mgt. This could either be indicative of a growth in female employees at the entry level and/or of a disposition of female employees to exit the workforce over time.
The typical employee is middle-aged at 36.3 years
While less than one-fifth of the employee base is below 25 years, over a third is 25-35 years old and the majority viz. Nearly half the workforce is above 35 years of age. This is also evident from the fact that 58% are married and have children.
Gender Marketing / Comm. Services
Consumer Services
Core Ind. / Ind. Goods & Services
Banking & Finance IT Consumer
Goods Healthcare
Projected Base 2,482,231 8,297,777 11,498,625 5,446,781 5,922,796 5,076,814 3,502,774
Male 91% 87% 95% 89% 81% 87% 89%
Female 10% 14% 6% 11% 19% 13% 11%
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Those employed in the Private sector, working in IT, Consumer Goods and Healthcare industries are relatively younger.
Age Marketing / Comm. Services
Consumer Services
Core Ind. / Ind. Goods & Services
Banking & Finance IT Consumer
Goods Healthcare
Projected Base 2,482,231 8,297,777 11,498,625 5,446,781 5,922,796 5,076,814 3,502,774
Bellow 21 years 1% 4% 4% 7% 7% 3% 1%
21-25 years 11% 9% 10% 15% 32% 17% 16%
25-35 years 37% 37% 27% 26% 49% 45% 50%
35-45 years 18% 31% 30% 23% 8% 24% 25%
Above 45 years 34% 19% 29% 30% 5% 12% 10% Average age of employees 39 37 38 37 28 34 33
As may have been expected, the age profile of employee by and large increases with seniority – while the average Trainee is aged 26 years, Senior Managers at the other end of the spectrum average 40 years. Interestingly, Junior Managers (average 38 years) do not appear to follow this trend since they are actually older than Middle Managers (average 36 years). This could be related to their education level and will be examined subsequently.
Only 1-in-5 holds a 'professional' educational degree
In fact 'professional' stream post-graduates number even fewer at 1-in-10. The clear majority, 66%, has either not pursued an under-graduate degree or has done so in a 'general' stream. The incidence of 'professional' employees is higher in IT, Healthcare, Core Industries and in the HR function.
Educational Qualification
All white collar
Marketing / Comm. Services
Consumer Services
Core Ind. / Ind. Goods & Services
Banking & Finance IT Consumer
Goods Healthcare
Projected Base 56,614,875 2,482,231 8,297,777 11,498,625 5,446,781 5,922,796 5,076,814 3,502,774
HSC/SSC 32% 53% 34% 36% 18% 23% 23% 21% Graduate General Stream 35% 23% 33% 30% 50% 34% 42% 42%
Graduate Professional Stream 8% 3% 4% 11% 5% 15% 6% 5%
Post-Graduate General Stream 9% 6% 11% 5% 13% 8% 11% 9%
Post-Graduate Professional Stream 10% 8% 10% 9% 13% 10% 8% 20%
Others 7% 7% 7% 10% 2% 9% 9% 3%
Professional stream 15% 10% 14% 20% 18% 25% 14% 25%
Interestingly, the proportion of ‘professional’ stream employees is significantly higher among Middle and Senior levels. This could explain the relatively lower age profile of Middle Managers compared to Junior Managers – since holding a ‘professional’ degree seems to increase the upward mobility on the corporate ladder and age does not appear to be the leading determinant of the same.
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Educational Qualification
All white collar
Trainee/ Fresher
Executive/ Operation level
Junior Management
Middle Management
Senior Management
Advisory Staff / Consultant
Projected Base 56,614,875 4,129,904 13,433,566 9,669,740 13,469,914 7,006,215 2,660,007
HSC/SSC 32% 36% 33% 30% 21% 33% 39% Graduate General Stream 35% 35% 41% 38% 32% 28% 39%
Graduate Professional Stream 8% 13% 7% 6% 9% 13% 2%
Post-Graduate General Stream 9% 7% 6% 12% 11% 8% 14%
Post-Graduate Professional Stream 10% 5% 6% 7% 16% 15% 4%
Others 7% 4% 8% 6% 11% 3% 1%
Professional Stream 18% 18% 13% 13% 25% 27% 6%
About 2-in-5 are from relatively smaller towns
If Metros and Urban Uptowns account for 58% of the urban white-collar workforce, the Emerging Towns and Other Towns account for a sizeable 42%.
26%22%
32%
21%
0%
10%
20%
30%
40%
All white collar
Metros Urban uptowns Emerging Towns Others
In fact while Public Sector employees largely originate from the smaller towns (73%), employees of NGOs are primarily from Metros (76%) and the Private Sector has a sizeable contribution from Metros and Urban Uptowns (59%). Also, the Marketing/Communication services industry and Core Industries (to a lesser extent) have a higher proportion of employees belonging to Other towns whereas IT industries are skewed on Metro residents and Banking and Healthcare companies have a higher share of employees from Emerging Towns.
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Table 4: Distribution of employees by city type, by industry verticals
City Type Marketing / Comm.Services
Consumer Services
Core Ind. / Ind. Goods & Services
Banking & Finance IT Consumer
Goods Healthcare Others
Projected Base 2,482,231 8,297,777 11,498,625 5,446,781 5,922,796 5,076,814 3,502,774 7,610,865
Metros 29% 33% 22% 27% 53% 32% 30% 33%
Urban uptowns 13% 22% 29% 24% 29% 31% 21% 23% Emerging Towns 13% 24% 22% 29% 12% 17% 28% 19%
Others 45% 22% 27% 20% 7% 19% 22% 26%
The socio-economic profile is largely commonplace - only 1-in-5 belongs to the 'premium' stratum
A minority, 21%, belongs to SEC A and a similar proportion claims monthly household income levels of Rs.30,000 or more. This also gets reiterated by the low ownership of cars (23%) and credit cards (41%). On the other hand, mobile phones are very common with 87% ownership.
22%21%
43%
0%
10%
20%
30%
40%
50%
All white collar
SEC A SEC B SEC C
Distribution of employees by MHI All white collar
Projected Base 56,614,875
Sample Base 9,000
Up to Rs.10,000 34.10%
Rs.10,000 to Rs.20,000 27.70%
Rs.20,000 to Rs.30,000 14.50%
Rs.30,000 to Rs.50,000 8.40%
Rs.50,000 to Rs.75,000 3.40%
Rs.75,000 to Rs.100,000 3.00%
More than Rs.100,000 6.60%
70% of the salaried employees are the chief wage earner of the household. This also means that at least 30% are from multiple income households.
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Chief Wage Earner (CWE)
30%
70%
Not the CWE CWE
Marketing/Communication Services and Consumer Services have a significantly higher share of SEC C employees whereas Healthcare, Consumer Goods and Core Industries have a relatively higher proportion of SEC A employees. Banking/ Finance industry has the highest share of SEC B employees.
Distribution of employees by SEC
Marketing / Comm. Services
Consumer Services
Core Ind. / Ind. Goods & Services
Banking & Finance IT Consumer
Goods Healthcare
Projected Base 2,482,231 8,297,777 11,498,625 5,446,781 5,922,796 5,076,814 3,502,774
SEC A 17% 15% 24% 23% 20% 25% 28%
SEC B 22% 31% 39% 44% 33% 36% 37%
SEC C 61% 54% 38% 33% 47% 38% 35%
Other highlights related to the socio-economic profile are:
The Public Sector boasts of the highest proportion of SEC A employees (26.4%), the Government Sector has a relatively higher share of SEC B employees (43%) while the NGOs are dominated by SEC C (69%).
The above sectoral SEC distribution is also reflected in the income
level - 28% of Public sector employees belong to households with monthly incomes Rs.30,000 or more whereas this proportion drops to 23% and 13% respectively among Private sector employees and NGOs.
HR function has a visibly higher share of SEC A employees (44%)
Designing / Creative function largely comprises SEC C employees
(75%)
Credit card ownership is most common among employees belonging to Metros (34%)
Middle/Senior Mgt have larger shares of SEC A employees (31%, 37%
respectively)
Car ownership is as expected more common among Middle/ Senior Mgt
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11%9% 9%
15%
10%
26%
10% 10%
0%
10%
20%
30%
All white collar
Up to 1 year 1-3 years 3-5 years5-7 years 7-10 years 10-15 years15-20 years Above 20 years
Ownership of credit cards as well mobile phones is less prevalent
among employees working in the Consumer Services industry - this could be related to the higher share of SEC C employees in this sector as mentioned earlier
The average age for entering the white-collar workforce is 23 years.
While nearly a third (30%) start working when they turn 20 years old or earlier, the majority does so only later - the most common age of entry being 21-22 years. This offers an explanation for the fairly 'old' age profile of the average employee seen earlier.
19% 20% 19%
4%
11%
28%
0%
10%
20%
30%
40%
All white collar
Up to 18 years Age 19-20 years Age 21-22 years
Age 23-24 years Age 25-30 years Above Age 30 years
The initiation age is slightly lower (22 years) among those who belong to Metros /Urban Uptowns. Not surprisingly, those who do not pursue higher education post-schooling enter the workforce relatively earlier. Employees engaged in Office Administration functions or in the Government sector also start working earlier than others.
On the other hand, those in the IT and Designing / Creative functions are comparatively older when they embark upon their careers. To illustrate this point, 64% of employees engaged in IT and 66% of those engaged in Designing/ Creative functions began working at the age of 21-24 years compared to only 48% among all white-collar employees.
Experience runs high with the average work experience adding up to 13 years
This is not surprising since over half (51%) the employees have work experience of 10 years or more and about a fourth (26%)have been in the workforce for at least 2 decades!
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The work experience is higher among those engaged in Marketing/Communication Services or Core Industries and those in the Office Administration function. Among the town classes, the work experience of those in smaller towns is relatively higher (13 years compared to 11 years among Metro employees). On the other hand, those working in the Private sector especially in the IT sector have lower work experience.
Total work experience
Marketing / Comm Services
Consumer Services
Core Industries
Banking & Finance IT Consumer
Goods Healthcare Others
Projected Base 2,482,231 8,297,777 11,498,625 5,446,781 5,922,796 5,076,814 3,502,774 7,610,865
Up to 1 year 5% 6% 7% 4% 15% 6% 8% 4%
1-3 years 8% 11% 7% 17% 33% 12% 10% 4%
3-5 years 12% 5% 8% 11% 15% 13% 20% 7%
5-7 years 5% 14% 5% 8% 14% 13% 9% 7%
7-10 years 15% 7% 8% 8% 9% 14% 14% 8%
10-15 years 11% 20% 16% 9% 8% 15% 18% 18%
15-20 years 9% 8% 12% 7% 3% 16% 8% 13%
Above 20 years 35% 28% 37% 37% 4% 13% 13% 39%
Average Years 17 13 16 14 5 10 9 17
The average number of jobs held is 2.7 although 1-in-4 has held 4 or more jobs
While half the workforce has held 1 or 2 jobs including the current job, the balance has held at least 3 jobs.
21%
12%
7%3%
1% 1% 1% 0%
29%25%
0%
10%
20%
30%
All white collar
1 2 3 4 5 6 7 8 9 10
The number of jobs held is relatively higher among Private sector employees, among those engaged in Consumer Goods, Consumer Services, Core Industries, Healthcare and those in the HR function. Employees in larger towns have held more jobs on an average than their counterparts in smaller towns. Not surprisingly, the average number of jobs held increases with the work experience of the employee. For instance, while the average number of jobs among those who have been working for a year is 1.3 (22% have moved on within a year of their first job!) This increases to
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3.3 among those with 7-10 years of experience. Interestingly, the white collar veterans with work experience of more than 10 years actually display lower mobility (average number of jobs 3.0) than those with 7-10 years of work experience.
While the typical tenure with the current company is 7.7 years, the average tenure per job is significantly lower at 4.7 years
The tenure with the current company is significantly higher than the average tenure across all jobs held. This indicates that by and large, the disposition to change jobs is higher during the earlier period of an employee’s career graph. Chart 1: Tenure with current company
21%
5% 5%
10%6%
15%
30%
9%
0%
10%
20%
30%
40%
All white collar
Up to 1 year 1-3 years 3-5 years 5-7 years7-10 years 10-15 years 15-20 years Above 20 years
The length of the tenure varies interestingly across various segments. Those employed in Marketing/ Communication Service, Banking/ Finance, Core Industries or engaged in Accounts/ Finance or Administrative functions tend to stick on longer in their jobs while those the Private sector especially in IT industries and those engaged in Marketing, Design/ Creative functions change relatively jobs faster. Employees in small towns also claim a relatively higher average tenure per job.
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Average Tenure
per Job (years)
Average Tenure with Current Company
(years)
All Employees 4.7 7.7
Marketing/ Communication Services 6.2 13.4
Core Industries 5.6 8.5
Banking / Finance 5.6 10.4
Consumer Services 4.6 8.9
Healthcare 3.4 4.1
Consumer Goods 3.3 5.2
IT 1.9 1.6
Government sector 8.8 17.6
NGO 8.6 15.6
Public Sector 7.5 15.7
Private Sector 3.9 6.0
Office Administration 6.6 12.0
Accounts and Finance 5.2 9.2
Human Resources 4.5 7.5
Project Management 4.4 6.6
Marketing 3.7 5.3
Design / Creative 3.3 6.0
IT 3.1 5.1
Larger size companies show more efficient use of employees (better productivity)
Only 1 in 5 (21%) white collar employees come from a small company of less than 50 employees. Almost half (47%) are working in relatively larger size companies with over 500 employees. However in terms of turnover, a significantly higher 40% of the white collar employees work in smaller companies with less than 50 crores in turnover. This indicates a disproportionately less efficient use of people (or lower turnover per employee) in the smaller companies as compared to the relatively larger companies. The efficiency equation increases with size and large companies show the best efficiency ratio (probably a result of economies of scale).
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Distribution by company size
40% 39%
21%
47%
21%
33%
0%
10%
20%
30%
40%
50%
Small (upto 50) Medium (51- 500) Large (501 plus)
Size by no. of employees Size by turnover in crore rupees
Over half the workforce earns upto Rs.2 lacs annually and the average annual package drawn is roughly Rs.2.6 lacs
Packages are relatively better among Private Sector companies, among Core Industries and in the IT, HRs and Accounts/Finance functions. Surprisingly, employees in Urban Uptowns and Other towns have higher salary and benefits packages on an average than their counterparts in Metros.
27%
10%
3% 2% 2%0%
15%
26%
15%
0%
10%
20%
30%
All white collar
Up to Rs 1 lac Rs 1-2 lacs Rs 2-3 LacsRs 3-5 lacs Rs 5-7 lacs Rs 7-10 lacsRs 10-20 lacs Above Rs 20 lacs Not Specified
Current Salary Levels and Benefits Packages
Marketing / Comm Services
Consumer Services
Core Ind. / Ind. Goods & Services
Banking & Finance IT Consumer
Goods Healthcare
Projected Base 2,482,231 8,297,777 11,498,625 5,446,781 5,922,796 5,076,814 3,502,774
Up to Rs.1 lac 18% 34% 22% 23% 27% 34% 26%
Rs.1-2 lacs 41% 26% 24% 28% 35% 20% 31%
Rs.2-3 Lacs 15% 19% 16% 21% 14% 14% 9%
Rs.3-5 lacs 4% 6% 13% 15% 9% 10% 16%
Above Rs.5 lacs 6% 5% 15% 6% 5% 8% 12%
Rs.7-10 lacs 2% 1% 4% 2% 1% 3% 1%
Rs.10-20 lacs 1% 1% 5% 1% 1% 1% 2%
Above Rs.20 lacs 0% 0% 0% 1% 1% 1% 0% Average annual salary (Rs.) 218731 183977 332324 251621 238612 252728 249540
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Other highlights related to salary and benefits are:
Not surprisingly, the average packages increase with hierarchy – ranging from Rs.1 lac for Trainees to Rs.4 lacs for Senior Managers.
Those with a ‘professional’ degree, especially a post-graduate
degree, earn more than those possessing a ‘general’ degree
Salary levels are relatively higher in IT, HRs and Accounts/ Finance functions
Most aspire for jobs in the private sector and in core industries and IT companies
This could be partly on account of the higher salary packages drawn by employees in the Private Sector and in these industries as seen above. The Private Sector is specially sought after by those in Government jobs - 4-in-5 aspire for a Private Sector job. Further, 95% of the employees currently with the Private Sector want to continue with the sector.
Aspired Sectors
All White Collar
Currently in Government sector
Currently in Public sector
Currently in Private sector
Projected Base 24,497,230 2,886,979 1,188,199 18,542,505
Public Sector 6.20% 11.90% 41.50% 3.60%
Private Sector 91.60% 80.30% 58.20% 95.10%
Others 2.20% 7.80% 0.40% 1.30%
The majority would move out of Healthcare, Marketing and Consumer Services industries if given a choice. IT and Core Industries not only top the list of aspired industries overall but also have the highest ‘loyalty’ in terms of proportion of employees voting for their current industry.
Aspired Industry Verticals All White Collar
Marketing / Comm
Services
Consumer Services
Core Ind. / Ind. Goods &
Services
Banking &
Finance IT Consumer
Goods Healthcare
Projected Base 24,497,230 635,881 3,356,202 5,674,216 2,976,054 3,257,304 2,257,245 1,384,939
Marketing / Comm. Services 2% 14% 4% 0.0% 0.1% 4% 0.3% 2%
Consumer Services 14% 14% 29% 9% 4% 5% 18% 8% Core Ind. / Ind. Goods & Services 32% 17% 19% 54% 28% 13% 21% 17%
Banking & Finance 11% 17% 2% 6% 42% 7% 7% 8%
IT 29% 33% 31% 20% 22% 69% 22% 25%
Consumer Goods 11% 6% 12% 11% 4% 2% 32% 27%
Healthcare 0.9% 0.2% 0.3% 0.4% 0.0% 0.0% 0.0% 11%
Consultancy 2% 0.6% 2% 0.4% 0.6% 0.3% 0.7% 1%
India Employee Speak 2007
19
Other points related to aspirations of employees are:
As may have been expected, most employees aspire for the next hierarchical level
Project Mgt, Marketing and Office Administration functions are
overall more sought after while HRs and IT functions show the highest growth in movement from current function to aspired function
Employees in Accounts / Finance and IT functions display the
highest ‘satisfaction’ in terms of proportion voting for their current function
Bonus, HRA and medical reimbursement are the most sought after company benefits.
Nearly 3-in-4 employees aspire for these benefits. Employer’s contribution to Provident Fund and LTA are lower in the list. Driver allowance, Company leased car and Stock Options – which are currently fairly rare benefits and relatively more common among the middle/senior Mgt cadre - are also desired by a sizeable proportion of employees.
Current Benefits Aspired Benefits
Bonus 50% 76%
House Rent Allowance (HRA) 58% 74%
Medical bill reimbursement 52% 71%
Medical insurance and Hospitalization 44% 65%
Employers Contribution to Provident fund 58% 64%
Leave Travel Allowance 50% 63%
Performance Incentive 33% 61%
Petrol Expense Reimbursement 32% 56%
Gratuity 47% 53%
Transport (pick and drop) 24% 47%
Company leased accommodation 17% 36%
Company leased car 7% 31%
Ex-Gratia 20% 28%
Stock options 3% 25%
Driver Allowance 4% 19%
Restricted stock unit 1% 9%
Current HR Trends
20
Detailed Findings- Current HR Trends
India Employee Speak 2007
21
98%
2% 0.4%Full-time Part time Apprenticeship / Internship
Current Terms of Employment Chart 2: Current terms of employment
Base: 9,000
Current HR Trends
22
Table 5: Current terms of employment by industry verticals
Current Terms Of Employment
Marketing / Comm.
Services Consumer
Services Core Ind. / Ind.
Goods & Services
Banking & Finance IT Consumer
Goods Healthcare Others
Projected Base 2,482,231 8,297,777 11,498,625 5,446,781 5,922,796 5,076,814 3,502,774 7,610,865
Full-time 98% 96% 99% 96% 95% 100% 98% 99%
Part time 2% 4% 0.8% 4% 5% 0.5% 2% 1%
Apprenticeship / Internship
0.1% 0.5% 0.7% 0.1% 0.2% 0.0% 0.7% 0.2%
Base: 9,000
Table 6: Current terms of employment by job function
Base: 9,000
Table 7: Current terms of employment by hierarchy level
Current Terms Of Employment
Trainee/Fresher Executive /Operation
Junior Mgt Middle Mgt Senior Mgt Advisory Staff / Consultant
Projected Base 4,129,904 13,433,566 9,669,740 13,469,914 7,006,215 2,660,007
Full-time 92% 98% 99% 97% 99% 98%
Part time 4% 2% 1% 3% 1% 2%
Apprenticeship / Internship 4% 0.3% 0.0% 0.0% 0.4% 0.0%
Base: 9,000
Table 8: Current terms of employment by educational qualification
Current Terms Of Employment HSC/SSC Graduate
General Stream Graduate
Professional Stream Post-Graduate
General Stream Post-Graduate
Professional Stream
Others
Projected Base 17,843,583 19,640,344 4,422,478 5,276,626 5,559,933 3,871,911
Full-time 97% 98% 97% 99% 98% 99%
Part time 3% 2% 0.9% 1% 1% 1%
Apprenticeship / Internship 0.4% 0.2% 2% 0.2% 0.5% 0.0%
Base: 9,000
Table 9: Current terms of employment by years of experience
Current Terms Of Employment Less than 1 year 1 - 3 years 4 - 6 years 7 - 10 years More than 10 yearsProjected Base 5,777,915 6,405,850 7,635,364 8,042,904 28,752,843Full-time 94% 96% 99% 97% 98%Part time 3% 3% 0.8% 3% 2%Apprenticeship / Internship 3% 0.2% 0.4% 0.1% 0.1%
Base: 9,000
Current Terms Of Employment
Accounts & Finance
Office Admin & General Mgt Marketing IT HR Project Mgt &
Operations Designing /
Creative Services
Projected Base 6,146,271 12,504,097 12,221,536 4,172,091 1,397,504 9,691,283 2,651,668
Full-time 99% 97% 97% 98% 98% 97% 98%
Part time 1% 2% 3% 1% 2% 2% 2%
Apprenticeship / Internship
0.1% 0.3% 0.5% 0.1% 0.0% 0.8% 0.0%
India Employee Speak 2007
23
19% 20% 19%
4%
11%
28%
0%
10%
20%
30%
40%
All white collar
Up to 18 years Age 19-20 years Age 21-22 years
Age 23-24 years Age 25-30 years Above Age 30 years
Age at First Job Chart 3: Age at first job
Base: 9,000
Current HR Trends
24
Table 10: Age at first job, by industry verticals
Age At First Job Marketing /
Comm. Services
Consumer Services
Core Ind. / Ind. Goods & Services
Banking & Finance IT Consumer
Goods Healthcare Others
Projected Base 2,482,231 8,297,777 11,498,625 5,446,781 5,922,796 5,076,814 3,502,774 7,610,865
Up to 18 years 6% 21% 12% 10% 8% 10% 7% 11%
Age 19-20 years 42% 15% 20% 19% 20% 21% 14% 18%
Age 21-22 years 16% 25% 29% 26% 30% 32% 34% 32%
Age 23-24 years 18% 16% 19% 32% 26% 18% 24% 21%
Age 25-30 years 17% 21% 19% 13% 14% 17% 21% 17%
Above Age 30 years 0% 3% 1% 1% 1% 2% 1% 1%
Average age in 1st Job 21.50 22.10 22.10 22.10 22.10 22.30 22.70 22.30
Base: 9,000
Table 11: Age at first job, by job function
Age At First Job Accounts & Finance
Office Admin & General Mgt Marketing IT HR Project Mgt &
Operations Designing /
Creative Services
Projected Base 6,146,271 12,504,097 12,221,536 4,172,091 1,397,504 9,691,283 2,651,668
Up to 18 years 7% 21% 10% 7% 13% 9% 2%
Age 19-20 years 21% 25% 18% 13% 9% 21% 19%
Age 21-22 years 25% 21% 31% 33% 31% 31% 45%
Age 23-24 years 27% 13% 21% 30% 22% 17% 21%
Age 25-30 years 19% 17% 18% 16% 23% 20% 13%
Above Age 30 years 2% 2% 3% 0% 1% 2% 0%
Average age in 1st Job 22.40 21.60 22.60 22.40 22.80 22.40 22.10
Base: 9,000
Table 12: Age at first job, by hierarchy level
Age At First Job Trainee/Fresher Executive/ Operation level
Junior Mgt Middle Mgt Senior Mgt Advisory Staff / Consultant
Projected Base 4,129,904 13,433,566 9,669,740 13,469,914 7,006,215 2,660,007
Up to 18 years 15% 9% 15% 11% 7% 9%
Age 19-20 years 25% 16% 18% 18% 29% 24%
Age 21-22 years 37% 31% 26% 29% 30% 21%
Age 23-24 years 12% 20% 22% 25% 17% 18%
Age 25-30 years 11% 23% 18% 16% 12% 24%
Above Age 30 years 1% 1% 1% 2% 5% 4%
Average age in 1st Job 21.30 22.50 22.10 22.20 22.60 22.90
Base: 9,000
India Employee Speak 2007
25
Table 13: Age at first job, by educational qualification
Age At First Job HSC/SSC Graduate General Stream
Graduate Professional Stream
Post-Graduate General Stream
Post-Graduate Professional Stream
Others
Projected Base 17,843,583 19,640,344 4,422,478 5,276,626 5,559,933 3,871,911
Up to 18 years 29% 11% 9% 7% 2% 6%
Age 19-20 years 23% 21% 14% 7% 12% 28%
Age 21-22 years 18% 29% 38% 29% 23% 34%
Age 23-24 years 8% 22% 27% 26% 34% 21%
Age 25-30 years 15% 15% 13% 28% 27% 9%
Above Age 30 years 6% 2% 1% 3% 2% 2%
Average age in 1st Job 21.90 22.20 22.20 23.50 23.70 21.90
Base: 9,000
Table 14: Age at first job, by years of experience
Age At First Job Less than 1 year 1 - 3 years 4 - 6 years 7 - 10 years More than 10 years
Projected Base 5,777,915 6,405,850 7,635,364 8,042,904 28,752,843
Up to 18 years 29% 18% 14% 8% 13%
Age 19-20 years 16% 23% 19% 21% 19%
Age 21-22 years 18% 24% 27% 37% 25%
Age 23-24 years 12% 23% 24% 16% 20%
Age 25-30 years 12% 12% 15% 17% 21%
Above Age 30 years 14% 1% 1% 2% 3%
Average age in 1st Job 23.30 21.40 21.80 22.20 22.60
Base: 9,000
Current HR Trends
26
11%9% 9%
15%
10%
26%
10% 10%
0%
10%
20%
30%
All white collar
Up to 1 year 1-3 years 3-5 years5-7 years 7-10 years 10-15 years15-20 years Above 20 years
Total Work Experience Chart 4: Total work experience
Base: 9,000
India Employee Speak 2007
27
Table 15: Total work experience by industry verticals
Total Work Experience
Marketing / Comm.
Services Consumer
Services Core Ind. / Ind.
Goods & Services
Banking & Finance IT Consumer
Goods Healthcare Others
Projected Base 2,482,231 8,297,777 11,498,625 5,446,781 5,922,796 5,076,814 3,502,774 7,610,865
Up to 1 year 5% 6% 7% 4% 15% 6% 8% 4%
1-3 years 8% 11% 7% 17% 33% 12% 10% 4%
3-5 years 12% 5% 8% 11% 15% 13% 20% 7%
5-7 years 5% 14% 5% 8% 14% 13% 9% 7%
7-10 years 15% 7% 8% 8% 9% 14% 14% 8%
10-15 years 11% 20% 16% 9% 8% 15% 18% 18%
15-20 years 9% 8% 12% 7% 3% 16% 8% 13%
Above 20 years 35% 28% 37% 37% 4% 13% 13% 39%
Average Years 16.80 13.30 15.80 13.90 5.00 10.30 9.40 16.50
Base: 9,000
Table 16: Total work experience by job function
Total Work Experience Accounts & Finance Office Admin &
General Mgt Marketing IT HR Project Mgt & Operations
Designing / Creative Services
Projected Base 6,146,271 12,504,097 12,221,536 4,172,091 1,397,504 9,691,283 2,651,668
Up to 1 year 6% 6% 11% 10% 7% 7% 6%
1-3 years 12% 8% 11% 25% 6% 11% 11%
3-5 years 14% 5% 15% 15% 9% 6% 8%
5-7 years 9% 9% 11% 10% 10% 6% 13%
7-10 years 9% 9% 9% 9% 8% 11% 20%
10-15 years 14% 12% 14% 14% 17% 19% 14%
15-20 years 8% 11% 7% 8% 10% 10% 12%
Above 20 years 27% 40% 22% 10% 33% 30% 17%
Average Years 13.00 17.20 10.70 8.10 14.90 13.60 10.60
Base: 9,000
Table 17: Total work experience by hierarchy level
Total Work Experience Trainee/Fresher Executive/Operation level Junior Mgt Middle Mgt Senior Mgt Advisory Staff / Consultant
Projected Base 4,129,904 13,433,566 9,669,740 13,469,914 7,006,215 2,660,007
Up to 1 year 67% 5% 1% 1% 6% 0%
1-3 years 33% 13% 13% 7% 5% 8%
3-5 years 0% 14% 11% 11% 7% 10%
5-7 years 0% 11% 10% 13% 6% 5%
7-10 years 0% 11% 9% 12% 12% 4%
10-15 years 0% 13% 12% 18% 18% 27%
15-20 years 0% 8% 13% 14% 11% 7%
Above 20 years 0% 26% 32% 25% 37% 41%
Average Years 1.10 12.10 14.50 13.50 16.70 15.50
Base: 9,000
Current HR Trends
28
Table 18: Total work experience by educational qualification
Total Work Experience HSC/SSC Graduate General Stream
Graduate Professional
Post-Graduate General Stream
Post-Graduate Professional Stream
Others
Projected Base 17,843,583 19,640,344 4,422,478 5,276,626 5,559,933 3,871,911
Up to 1 year 20% 11% 19% 9% 12% 10%
1-3 years 14% 15% 25% 15% 20% 16%
3-5 years 7% 13% 9% 7% 11% 13%
5-7 years 5% 9% 6% 10% 9% 16%
7-10 years 6% 9% 9% 12% 13% 14%
10-15 years 14% 13% 8% 16% 11% 10%
15-20 years 5% 10% 7% 13% 11% 7%
Above 20 years 31% 20% 17% 20% 13% 15%
Average Years 12.20 10.90 9.20 11.30 9.10 9.30
Base: 9,000
India Employee Speak 2007
29
21%
12%
7%3%
1% 1% 1% 0%
29%25%
0%
10%
20%
30%
All white collar
1 2 3 4 5 6 7 8 9 10
Number of Jobs Held Chart 5: Number of jobs held
Base: 9,000
Current HR Trends
30
Table 19: Number of jobs held, by industry verticals
Number Of Jobs Held
Marketing / Comm. Services
Consumer Services
Core Ind. / Ind. Goods & Services
Banking & Finance IT Consumer
Goods Healthcare Others
Projected Base 2,482,231 8,297,777 11,498,625 5,446,781 5,922,796 5,076,814 3,502,774 7,610,865
1 41% 17% 23% 30% 27% 21% 26% 43%
2 15% 21% 22% 23% 27% 23% 22% 16%
3 20% 37% 28% 26% 21% 23% 22% 21%
4 7% 13% 11% 12% 11% 15% 17% 9%
5 4% 6% 9% 8% 8% 10% 6% 6%
6 10% 3% 2% 1% 3% 4% 6% 4%
7 4% 1% 2% 1% 1% 1% 1% 0%
8 0% 1% 1% 0% 1% 2% 0% 0%
9 0% 0% 0% 0% 1% 1% 0% 0%
10 0% 1% 0% 0% 0% 1% 0% 0%
Average Number of Jobs
2.70 2.90 2.80 2.50 2.70 3.10 2.80 2.40
Base: 9,000
Table 20: Number of jobs held, by job function
Number Of Jobs Held Accounts & Finance Office Admin &
General Mgt Marketing IT HR Project Mgt & Operations
Designing / Creative Services
Projected Base 6,146,271 12,504,097 12,221,536 4,172,091 1,397,504 9,691,283 2,651,668
1 30% 30% 23% 34% 18% 21% 18%
2 25% 23% 19% 19% 19% 22% 14%
3 28% 25% 29% 20% 22% 23% 37%
4 11% 8% 15% 14% 14% 18% 11%
5 3% 9% 7% 7% 18% 7% 7%
6 2% 2% 4% 2% 4% 5% 12%
7 1% 1% 2% 1% 1% 2% 1%
8 1% 1% 1% 3% 1% 1% 0%
9 0% 1% 1% 0% 2% 1% 0%
10 0% 0% 0% 0% 0% 0% 0%
Average Number of Jobs
2.50 2.60 2.90 2.60 3.30 3.10 3.20
Base: 9,000
India Employee Speak 2007
31
Table 21: Number of jobs held, by hierarchy level
Number Of Jobs Held Trainee/Fresher Executive/Operation level Junior Mgt Middle Mgt Senior Mgt Advisory Staff / ConsultantProjected Base 4,129,904 13,433,566 9,669,740 13,469,914 7,006,215 2,660,0071 49% 21% 28% 18% 28% 30%2 36% 24% 21% 18% 20% 18%3 15% 29% 30% 29% 14% 39%4 0% 12% 11% 20% 13% 9%5 0% 8% 6% 8% 11% 2%6 0% 4% 2% 4% 8% 2%7 0% 0% 1% 2% 2% 1%8 0% 1% 1% 1% 2% 0%9 0% 0% 1% 0% 1% 1%10 0% 0% 0% 0% 1% 0%Average Number of Jobs 1.70 2.80 2.60 3.10 3.10 2.50
Base: 9,000
Table 22: Number of jobs held, by educational qualification
Number Of Jobs Held HSC/SSC Graduate
General Stream Graduate
Professional Stream Post-Graduate General
Stream Post-Graduate
Professional Stream Others
Projected Base 17,843,583 19,640,344 4,422,478 5,276,626 5,559,933 3,871,911
1 38% 30% 42% 32% 27% 23%
2 19% 19% 25% 26% 20% 22%
3 23% 23% 16% 20% 24% 40%
4 12% 13% 7% 11% 12% 7%
5 5% 9% 6% 6% 11% 6%
6 3% 3% 1% 3% 3% 1%
7 0% 1% 1% 1% 2% 1%
8 0% 1% 1% 1% 1% 0%
9 1% 1% 0% 1% 0% 0%
10 0% 0% 0% 0% 0% 0%
Average Number of Jobs 2.40 2.80 2.30 2.60 2.90 2.60
Base: 9,000
Table 23: Number of jobs held, by years of experience
Number Of Jobs Held Less than 1 year 1 - 3 years 4 - 6 years 7 - 10 years More than 10 years Projected Base 5,777,915 6,405,850 7,635,364 8,042,904 28,752,843 1 78% 38% 24% 10% 26% 2 15% 34% 27% 19% 15% 3 6% 21% 28% 29% 27% 4 1% 4% 13% 23% 14% 5 1% 3% 6% 13% 9% 6 0% 0% 1% 4% 5% 7 0% 0% 0% 1% 2% 8 0% 0% 1% 0% 1% 9 0% 0% 0% 0% 1% 10 0% 0% 0% 0% 0% Average Number of Jobs 1.30 2.00 2.60 3.30 3.00
Base: 9,000
Current HR Trends
32
26%
18%
12%
2%5%
20%18%
0%
10%
20%
30%
All white collar
Trainee /Fresher Executive / Operation levelJunior Management Middle ManagementSenior Management Top Management (CEO / Owner)Advisory Staff / Consultant
Proportion Who Moved Jobs with a Promotion Chart 6: Proportion who moved jobs with a promotion
Base: 7,355
India Employee Speak 2007
33
Table 24: Proportion who moved jobs with a promotion, by industry verticals
Hierarchy Level Marketing /
Comm. Services
Consumer Services
Core Ind. / Ind. Goods & Services
Banking & Finance IT Consumer
Goods Healthcare Others
Projected Base 2,336,733 7,186,001 9,976,239 4,401,476 5,100,792 4,485,602 3,018,665 5,945,488
Trainee /Fresher 10% 20% 17% 30% 17% 22% 20% 24%
Executive / Operation level 32% 22% 26% 29% 27% 27% 31% 16%
Junior Mgt 11% 18% 20% 18% 18% 20% 16% 27%
Middle Mgt 9% 16% 18% 15% 22% 19% 19% 14%
Senior Mgt 37% 11% 14% 6% 11% 8% 11% 9%
Top Mgt (CEO / Owner) 0.7% 1% 1% 0.6% 1% 2% 0.3% 3%
Advisory Staff / Consultant 1% 12% 3% 0.8% 5% 2% 3% 8%
Base: 7,355
Table 25: Proportion who moved jobs with a promotion, by job function
Hierarchy Level Accounts & Finance
Office Admin & General Mgt Marketing IT HR Project Mgt &
Operations Designing / Creative
Services
Projected Base 5,351,303 11,088,536 10,526,789 3,022,596 1,184,946 8,632,875 2,423,984
Trainee /Fresher 23% 18% 19% 18% 15% 21% 24%
Executive / Operation level 21% 22% 31% 28% 17% 31% 18%
Junior Mgt 23% 18% 18% 18% 17% 14% 26%
Middle Mgt 11% 14% 18% 29% 31% 19% 10%
Senior Mgt 17% 13% 9% 4% 17% 11% 22%
Top Mgt (CEO / Owner) 0.4% 4% 2% 1% 1% 0.7% 0.1%
Advisory Staff / Consultant 5% 12% 3% 1% 2% 3% 0.4%
Base: 7,355
Current HR Trends
34
Table 26: Proportion who moved jobs with a promotion, by educational qualification
Hierarchy Level HSC/SSC Graduate General Stream
Graduate Professional
Stream Post-Graduate
General Stream Post-Graduate
Professional Stream
Others
Projected Base 15,263,271 16,275,882 3,404,291 4,131,360 4,391,974 3,349,019
Trainee /Fresher 31% 21% 31% 18% 17% 26%
Executive / Operation level 25% 28% 19% 25% 22% 18%
Junior Mgt 12% 20% 15% 22% 18% 21%
Middle Mgt 13% 16% 14% 18% 26% 21%
Senior Mgt 10% 11% 7% 9% 12% 12%
Top Mgt (CEO / Owner) 0.3% 2% 7% 2% 1% 1%
Advisory Staff / Consultant 9% 3% 8% 6% 4% 0.4%
Base: 7,355
Table 27: Proportion who moved jobs with a promotion, by years of experience
Hierarchy Level Less than 1 year 1 - 3 years 4 - 6 years 7 - 10 years More than 10 years
Projected Base 3,146,288 5,373,899 6,415,544 7,147,589 24,732,477
Trainee /Fresher 67% 34% 20% 10% 17%
Executive / Operation level 15% 29% 33% 31% 21%
Junior Mgt 8% 14% 20% 22% 18%
Middle Mgt 8% 12% 14% 21% 19%
Senior Mgt 1% 6% 6% 11% 16%
Top Mgt (CEO / Owner) 0.5% 0.9% 1% 4% 2%
Advisory Staff / Consultant 1% 5% 6% 2% 8%
Base: 7,355
India Employee Speak 2007
35
Total Work Experience Table 28: Total work experience, by industry verticals
Total Work Experience
All white collar
Marketing / Comm. Services
Consumer Services
Core Ind. / Ind. Goods &
Services
Banking & Finance IT Consumer
Goods Healthcare Others
Projected Base 56,614,875 2,482,231 8,297,777 11,498,625 5,446,781 5,922,79 5,076,814 3,502,774 7,610,865
Less than 1 year 10% 5% 6% 7% 4% 15% 6% 8% 4%
1-3 years 11% 8% 11% 7% 17% 33% 12% 10% 4%
4-6 years 14% 14% 8% 11% 15% 22% 19% 26% 11%
7-10 years 14% 19% 18% 10% 12% 16% 20% 18% 11%
More than 10 years 51% 55% 57% 65% 53% 14% 43% 38% 70%
Average Years 12.64 16.77 13.29 15.76 13.91 5.02 10.31 9.36 16.50
Base: 9,000
Table 29: Total work experience, by job function
Total Work Experience All white collar Accounts
& Finance Office Admin &
General Mgt Marketing IT HR Project Mgt & Operations
Designing / Creative Services
Projected Base 56,614,875 6,146,271 12,504,097 12,221,536 4,172,091 1,397,504 9,691,283 2,651,668
Less than 1 year 10% 6% 6% 11% 10% 7% 7% 6%
1-3 years 11% 12% 8% 11% 25% 6% 11% 11%
4-6 years 14% 18% 10% 19% 20% 13% 9% 12%
7-10 years 14% 15% 13% 15% 14% 14% 14% 30%
More than 10 years 51% 50% 63% 43% 31% 60% 59% 43%
Average Years 12.64 12.99 17.16 10.70 8.08 14.89 13.65 10.59
Base: 9,000
Table 30: Total work experience, by hierarchy level
Total Work Experience All white collar Trainee/Fresher Executive/
Operation level Junior Mgt Middle Mgt Senior Mgt Advisory Staff / Consultant
Projected Base 56,614,875 4,129,904 13,433,566 9,669,740 13,469,914 7,006,215 2,660,007
Less than 1 year 10% 67% 5% 1% 1% 6% 0%
1-3 years 11% 33% 13% 13% 7% 5% 8%
4-6 years 14% 0% 19% 16% 15% 10% 11%
7-10 years 14% 0% 16% 14% 20% 14% 7%
More than 10 years 51% 0% 46% 56% 57% 65% 74%
Average Years 12.64 1.07 12.07 14.50 13.54 16.72 15.51
Base: 9,000
Current HR Trends
36
Table 31: Total work experience, by educational qualification
Total Work Experience All white collar HSC/SSC Graduate
General Stream
Graduate Professional
Stream
Post-Graduate General Stream
Post-Graduate Professional
Stream Others
Projected Base 56,614,875 17,843,583 19,640,344 4,422,478 5,276,626 5,559,933 3,871,911
Less than 1 year 10% 20% 11% 19% 9% 12% 10%
1-3 years 11% 14% 15% 25% 15% 20% 16%
4-6 years 14% 9% 18% 12% 11% 17% 15%
7-10 years 14% 8% 14% 12% 18% 16% 27%
More than 10 years 51% 49% 43% 32% 48% 35% 32%
Average Years 12.64 12.24 10.90 9.17 11.29 9.12 9.28
Base: 9,000
India Employee Speak 2007
37
Average Tenure per Job Table 32: Average tenure per job
Average Tenure Per Job Less than 1 year 1 - 3 years 4 - 6 years 7 - 10 years More than 10 years
Projected Base 5,777,915 6,405,850 7,635,364 8,042,904 28,752,843
1 Job 100% 45% 12% 1% 0%
1-2 Jobs 0% 38% 50% 34% 3%
2-4 Jobs 0% 17% 27% 46% 20%
More than 4 Jobs 0% 0% 12% 19% 77%
Average Tenure of Jobs 1.00 1.72 2.39 2.83 3.75
Median Tenure of Jobs 1.00 2.00 2.00 3.00 4.00
Mode Tenure of Jobs 1.00 1.00 2.00 3.00 4.00
Base: 9,000
Current HR Trends
38
21%
5% 5%
10%6%
15%
30%
9%
0%
10%
20%
30%
40%
All white collar
Up to 1 year 1-3 years 3-5 years 5-7 years7-10 years 10-15 years 15-20 years Above 20 years
Tenure with Current Company Chart 7: Tenure with current company
Base: 9,000
India Employee Speak 2007
39
Table 33: Tenure with current company, by industry verticals
Tenure With Current Company
Marketing / Comm.
Services
Consumer Services
Core Ind. / Ind. Goods & Services
Banking & Finance IT Consumer
Goods Healthcare Others
Projected Base 2,482,231 8,297,777 11,498,625 5,446,781 5,922,796 5,076,814 3,502,774 7,610,865
Up to 1 year 25% 24% 24% 25% 52% 28% 27% 15%
1-3 years 17% 18% 22% 24% 30% 26% 30% 11%
3-5 years 3% 10% 11% 6% 10% 13% 18% 8%
5-7 years 2% 6% 4% 3% 6% 5% 4% 8%
7-10 years 11% 4% 5% 3% 1% 8% 7% 4%
10-15 years 9% 19% 10% 4% 2% 13% 10% 10%
15-20 years 1% 5% 11% 4% 1% 3% 3% 12%
Above 20 years 30% 15% 14% 31% 0% 6% 2% 31%
Average Years 13.40 8.90 8.50 10.40 1.60 5.20 4.10 13.00
Base: 9,000
Table 34: Tenure with current company, by job function
Tenure With Current Company
Accounts & Finance
Office Admin &
General Mgt Marketing IT HR
Project Mgt &
Operations
Designing / Creative Services
Projected Base 6,146,271 12,504,097 12,221,536 4,172,091 1,397,504 9,691,283 2,651,668
Up to 1 year 24% 21% 34% 39% 34% 32% 19%
1-3 years 25% 13% 25% 24% 19% 26% 26%
3-5 years 8% 10% 11% 11% 4% 6% 12%
5-7 years 6% 6% 6% 3% 8% 4% 6%
7-10 years 5% 7% 2% 4% 5% 5% 15%
10-15 years 8% 11% 10% 7% 8% 12% 6%
15-20 years 4% 7% 5% 5% 8% 4% 16%
Above 20 years 22% 26% 7% 8% 13% 12% 1%
Average Years 9.20 12.00 5.30 5.10 7.50 6.60 6.00
Base: 9,000
Table 35: Tenure with current company, by hierarchy level
Tenure With Current Company Trainee/Fresher Executive/
Operation level Junior Mgt Middle Mgt Senior Mgt Advisory Staff / Consultant
Projected Base 4,129,904 13,433,566 9,669,740 13,469,914 7,006,215 2,660,007
Up to 1 year 80% 28% 19% 25% 24% 24%
1-3 years 20% 25% 17% 22% 25% 12%
3-5 years 0% 8% 8% 12% 10% 4%
5-7 years 0% 5% 7% 6% 6% 8%
7-10 years 0% 5% 6% 5% 7% 1%
10-15 years 0% 12% 7% 13% 8% 19%
15-20 years 0% 4% 12% 6% 3% 9%
Above 20 years 0% 15% 24% 10% 17% 24%
Average Years 0.60 7.60 11.10 7.00 8.90 10.10
Base: 9,000
Current HR Trends
40
Table 36: Tenure with current company, by educational qualification
Tenure With Current Company HSC/SSC Graduate General
Stream Graduate Professional
Stream Post-Graduate
General Stream Post-Graduate
Professional Stream Others
Projected Base 17,843,583 19,640,344 4,422,478 5,276,626 5,559,933 3,871,911
Up to 1 year 29% 30% 35% 28% 35% 28%
1-3 years 17% 22% 25% 17% 25% 24%
3-5 years 8% 10% 5% 10% 10% 13%
5-7 years 4% 5% 4% 6% 5% 9%
7-10 years 4% 4% 8% 6% 5% 3%
10-15 years 13% 9% 7% 10% 9% 7%
15-20 years 5% 6% 4% 8% 5% 9%
Above 20 years 19% 15% 13% 16% 5% 8%
Average Years 9.40 7.40 6.80 8.20 4.90 6.30
Base: 9,000
Table 37: Tenure with current company, by years of experience
Tenure With Current Company Less than 1 year 1 - 3 years 4 - 6 years 7 - 10 years More than 10 yearsProjected Base 5,777,915 6,405,850 7,635,364 8,042,904 28,752,843Up to 1 year 93% 56% 34% 23% 14%1-3 years 6% 41% 35% 31% 12%3-5 years 0% 3% 23% 14% 7%5-7 years 0% 0% 7% 16% 4%7-10 years 0% 0% 1% 15% 5%10-15 years 0% 0% 0% 1% 19%15-20 years 0% 0% 0% 0% 11%Above 20 years 0% 0% 0% 0% 29%Average Years 0.60 0.90 2.00 3.40 13.40
Base: 9,000
Table 38: Current and aspired industry verticals
Industry Verticals All white collar
Marketing / Comm.
Services
Consumer
Services
Core Ind. / Ind. Goods & Services
Banking & Finance IT Consumer
Goods Healthcare Others
Projected Base 56,614,87 415,551 3,450,68 7,697,818 2,619,416 6,987,308 2,649,093 219,385 457,972
Marketing / Comm. Services 5% 21% 3% 2% 4% 3% 1% 0.6% 0.8%
Consumer Services 17% 34% 32% 9% 3% 16% 15% 5% 20%
Core Ind. / Ind. Goods & Services 23% 0.2% 17% 44% 12% 17% 24% 12% 7%
Banking & Finance 11% 0.8% 4% 12% 48% 10% 5% 0.3% 5%
IT 12% 33% 5% 6% 9% 34% 3% 0.2% 3%
Consumer Goods 10% 1% 13% 7% 6% 7% 29% 0.5% 4%
Healthcare 7% 8% 4% 3% 5% 5% 15% 77% 4%
Consultancy 15% 1% 22% 17% 13% 9% 7% 4% 57%
Base: 9,000
India Employee Speak 2007
41
Table 39: Current and aspired sectors
Current And Aspired Sectors All white collar Government Public Private
Projected Base 56,614,875 549,974 1,515,787 22,431,468
Public Sector 5% 0.9% 33% 3%
Private Sector 79% 52% 44% 85%
Others 16% 47% 23% 12%
Base: 9,000
Table 40: Current and aspired functions
Current And Aspired Functions All white collar
Accounts & Finance
Office Admin & General
Mgt Marketing IT HR
Project Mgt &
Operations
Designing / Creative Services
Projected Base 56,614,875 3,667,887 10,726,084 9,418,725 4,251,350 1,785,888 8,678,870 2,697,098
Accounts & Finance 11% 75% 10% 2% 1% 3% 0.5% 2%
Office Admin & General Mgt 22% 8% 51% 13% 18% 27% 6% 5%
Marketing 22% 5% 12% 70% 7% 16% 14% 2%
IT 7% 5% 2% 2% 56% 0.5% 4% 0.9%
HR 3% 0.1% 2% 0.4% 1% 42% 0.6% 2%
Project Mgt & Operations 17% 0.2% 10% 8% 5% 6% 66% 15%
Designing / Creative Services 5% 0.1% 0.3% 0.7% 6% 0.3% 4% 63%
Others 8% 5% 8% 4% 5% 4% 5% 10%
Not specify 6% 0.3% 4% 1% 0.2% 2% 1% 0.3%
Base: 9,000
Table 41: Current hierarchy level and aspired hierarchy level
Current And Aspired Hierarchy Level
All white collar Trainee/Fresher
Executive/Operation
level Junior
Mgt Middle Mgt Senior Mgt Top Mgt Advisory
Staff / Consultant
Projected Base 56,614,875 2,747,503 8,583,061 5,837,582 11,289,887 9,973,742 1,274,115 2,325,545
Trainee /Fresher 7% 28% 14% 11% 2% 2% 2% 3%
Executive / Operation level 24% 30% 46% 43% 16% 8% 10% 14%
Junior Mgt 17% 10% 8% 32% 28% 10% 8% 10%
Middle Mgt 24% 17% 8% 4% 45% 42% 27% 21%
Senior Mgt 12% 2% 2% 1% 3% 32% 47% 24%
Advisory Staff / Consultant 5% 4% 10% 1% 1% 4% 0.8% 18%
Others 5% 7% 12% 6% 0.6% 2% 0.8% 8%
Not specify 6% 2% 0.9% 2% 4% 2% 5% 2%
Base: 9,000
Current HR Trends
42
Table 42: Current hierarchy level and aspired hierarchy level
Compared To Previous As Well All white collar
Trainee/Fresher
Executive/Operation
level Junior Mgt Middle
Mgt Senior
Mgt Top Mgt Advisory
Staff / Consultant
Projected Base 56,614,875 8,428,57 10,969,81 7,812,071 7,406,105 5,011,085 720,932 2,083,148
Trainee /Fresher 7% 22% 8% 3% 0.5% 0.9% 0.0% 2%
Executive / Operation level 24% 31% 54% 9% 5% 15% 20% 3%
Junior Mgt 17% 16% 12% 41% 8% 6% 4% 43%
Middle Mgt 24% 14% 16% 34% 59% 16% 28% 15%
Senior Mgt 12% 3% 4% 8% 20% 51% 41% 12%
Advisory Staff / Consultant 5% 8% 4% 2% 2% 8% 4% 21%
Others 5% 6% 2% 0.4% 0.1% 1% 2% 3%
Not specify 6% 1% 1% 3% 6% 2% 1% 1%
Base: 9,000
India Employee Speak 2007
43
11%
89%
0%
30%
60%
90%
All white collar
Male Female
Demographic Profile Chart 8: Distribution of employees by gender
Base: 9,000
Current HR Trends
44
Table 43: Distribution of employees by gender, by industry verticals
Gender Marketing /
Comm. Services
Consumer Services
Core Ind. / Ind. Goods & Services
Banking & Finance IT Consumer
Goods Healthcare Others
Projected Base 2,482,231 8,297,777 11,498,625 5,446,781 5,922,796 5,076,814 3,502,774 7,610,865
Male 91% 87% 95% 89% 81% 87% 89% 93%
Female 10% 14% 6% 11% 19% 13% 11% 7%
Base: 9,000
Table 44: Distribution of employees by gender, by job function
Gender Accounts & Finance
Office Admin & General Mgt Marketing IT HR Project Mgt &
Operations Designing /
Creative Services
Projected Base 6,146,271 12,504,097 12,221,536 4,172,091 1,397,504 9,691,283 2,651,668
Male 87% 85% 92% 90% 83% 96% 92%
Female 14% 15% 8% 10% 17% 4% 8%
Base: 9,000
Table 45: Distribution of employees by gender, by hierarchy level
Gender Trainee/Fresher Executive/Operation level Junior Mgt Middle Mgt Senior Mgt Advisory Staff / Consultant
Projected Base 4,129,904 13,433,566 9,669,740 13,469,914 7,006,215 2,660,007
Male 78% 89% 89% 91% 94% 90%
Female 22% 11% 11% 9% 6% 10%
Base: 9,000
Table 46: Distribution of employees by gender, by educational qualification
Gender HSC/SSC Graduate General Stream
Graduate Professional Stream
Post-Graduate General Stream
Post-Graduate Professional Stream Others
Projected Base 17,843,583 19,640,344 4,422,478 5,276,626 5,559,933 3,871,911
Male 89% 85% 91% 71% 85% 92%
Female 11% 15% 9% 29% 15% 8%
Base: 9,000
Table 47: Distribution of employees by gender, by years of experience
Gender Less than 1 year 1 - 3 years 4 - 6 years 7 - 10 years More than 10 years
Projected Base 5,777,915 6,405,850 7,635,364 8,042,904 28,752,843
Male 87% 79% 86% 87% 93%
Female 13% 21% 14% 13% 7%
Base: 9,000
India Employee Speak 2007
45
14%
26%22%
3%
35%
0%
10%
20%
30%
40%
All white collar
Below 21 years 21-25 years 25-35 years35-45 years Above 45 years
Chart 9: Distribution of employees by age
Base: 9,000
Current HR Trends
46
Table 48: Distribution of employees by age, by industry verticals
Age Marketing
/ Comm. Services
Consumer Services
Core Ind. / Ind. Goods & Services
Banking &
Finance IT Consumer
Goods Healthcare Others
Projected Base 2,482,231 8,297,777 11,498,625 5,446,781 5,922,796 5,076,814 3,502,774 7,610,865
Below 21 years 1% 4% 4% 7% 7% 3% 1% 0%
21-25 years 11% 9% 10% 15% 32% 17% 16% 7%
25-35 years 37% 37% 27% 26% 49% 45% 50% 33%
35-45 years 18% 31% 30% 23% 8% 24% 25% 27%
Above 45 years 34% 19% 29% 30% 5% 12% 10% 32%
Average age of employees
39.30 36.70 38.40 36.70 28.40 33.50 32.80 39.70
Base: 9,000
Table 49: Distribution of employees by age, by job function
Age Accounts & Finance
Office Admin & General Mgt Marketing IT HR Project Mgt &
Operations Designing /
Creative Services
Projected Base 6,146,271 12,504,097 12,221,536 4,172,091 1,397,504 9,691,283 2,651,668
Below 21 years 7% 3% 5% 5% 1% 2% 2%
21-25 years 11% 10% 18% 22% 8% 13% 15%
25-35 years 36% 23% 38% 49% 30% 33% 59%
35-45 years 21% 28% 25% 14% 30% 29% 16%
Above 45 years 25% 37% 14% 10% 31% 23% 9%
Average age of employees
36.20 40.20 34.20 31.20 39.00 36.50 32.90
Base: 9,000
Table 50: Distribution of employees by age, by hierarchy level
Age Trainee/ Fresher Executive/ Operation level Junior Mgt Middle Mgt Senior Mgt Advisory Staff /
Consultant
Projected Base 4,129,904 13,433,566 9,669,740 13,469,914 7,006,215 2,660,007
Below 21 years 16% 3% 2% 3% 2% 5%
21-25 years 47% 16% 11% 7% 10% 9%
25-35 years 27% 41% 34% 43% 28% 14%
35-45 years 7% 19% 27% 26% 28% 51%
Above 45 years 3% 21% 26% 21% 33% 21%
Average age of employees 26.20 35.30 37.80 36.20 40.20 38.30
Base: 9,000
India Employee Speak 2007
47
Table 51: Distribution of employees by age, by educational qualification
Age HSC/SSC Graduate
General Stream
Graduate Professional
Stream
Post-Graduate General Stream
Post-Graduate Professional
Stream Others
Projected Base 17,843,58 19,640,344 4,422,478 5,276,626 5,559,933 3,871,911
Below 21 years 38% 11% 37% 1% 2% 21%
21-25 years 9% 19% 26% 12% 22% 15%
25-35 years 17% 31% 17% 34% 37% 39%
35-45 years 19% 19% 10% 26% 21% 14%
Above 45 years 17% 21% 10% 28% 17% 12%
Average age of employees 30.80 34.40 28.10 37.80 34.40 30.30
Base: 9,000
Table 52: Distribution of employees by age, by years of experience
Age Less than 1 year 1 - 3 years 4 - 6 years 7 - 10 years More than 10 years
Projected Base 5,777,915 6,405,850 7,635,364 8,042,904 28,752,843
Below 21 years 37% 27% 8% 1% 0%
21-25 years 27% 45% 30% 2% 1%
25-35 years 18% 28% 60% 86% 15%
35-45 years 13% 1% 3% 10% 42%
Above 45 years 4% 0% 0% 0% 43%
Average age of employees 25.60 23.90 26.60 30.60 44.10
Base: 9,000
Current HR Trends
48
26%22%
32%
21%
0%
10%
20%
30%
40%
All white collar
Metros Urban uptowns Emerging Towns Others
Chart 10: Distribution of employees by city type
Base: 9,000
India Employee Speak 2007
49
Table 53: Distribution of employees by city type, by industry verticals
City Type Marketing /
Comm. Services
Consumer Services
Core Ind. / Ind. Goods & Services
Banking & Finance IT Consumer
Goods Healthcare Others
Projected Base 2,482,231 8,297,777 11,498,625 5,446,781 5,922,796 5,076,814 3,502,774 7,610,865
Metros 29% 33% 22% 27% 53% 32% 30% 33%
Urban uptowns 13% 22% 29% 24% 29% 31% 21% 23%
Emerging Towns 13% 24% 22% 29% 12% 17% 28% 19%
Others 45% 22% 27% 20% 7% 19% 22% 26%
Base: 9,000
Table 54: Distribution of employees by city type, by job function
City Type Accounts & Finance
Office Admin & General Mgt Marketing IT HR Project Mgt &
Operations Designing /
Creative Services
Projected Base 6,146,271 12,504,097 12,221,536 4,172,091 1,397,504 9,691,283 2,651,668
Metros 29% 37% 33% 35% 39% 28% 38%
Urban uptowns 24% 21% 28% 34% 21% 27% 27%
Emerging Towns 30% 16% 16% 20% 21% 20% 21%
Others 17% 27% 24% 10% 19% 26% 15%
Base: 9,000
Table 55: Distribution of employees by city type, by hierarchy level
City Type Trainee/Fresher Executive/Operation level Junior Mgt Middle Mgt Senior Mgt Advisory Staff /
Consultant
Projected Base 4,129,904 13,433,566 9,669,740 13,469,914 7,006,215 2,660,007
Metros 37% 36% 34% 29% 33% 27%
Urban uptowns 24% 19% 26% 34% 22% 18%
Emerging Towns 27% 20% 15% 20% 18% 33%
Others 13% 25% 25% 18% 28% 22%
Base: 9,000
Current HR Trends
50
Table 56: Distribution of employees by city type, by educational qualification
City Type HSC/SSC Graduate General Stream
Graduate Professional
Stream
Post-Graduate General Stream
Post-Graduate Professional
StreamOthers
Projected Base 17,843,583 19,640,344 4,422,478 5,276,626 5,559,933 3,871,911
Metros 30% 31% 22% 20% 24% 37%
Urban uptowns 30% 23% 27% 29% 29% 21%
Emerging Towns 15% 24% 19% 22% 23% 20%
Others 26% 23% 32% 29% 24% 22%
Base: 9,000
Table 57: Distribution of employees by city type, by years of experience
City Type Less than 1 year 1 - 3 years 4 - 6 years 7 - 10 years More than 10 years
Projected Base 5,777,915 6,405,850 7,635,364 8,042,904 28,752,843
Metros 36% 30% 30% 30% 31%
Urban uptowns 30% 32% 26% 24% 25%
Emerging Towns 18% 23% 27% 22% 19%
Others 16% 15% 17% 25% 26%
Base: 9,000
India Employee Speak 2007
51
15%
36%
21%
14%
0%
10%
20%
30%
40%
All white collar
North South East West
Chart 11: Distribution of employees by region
Base: 9,000
Current HR Trends
52
Table 58: Distribution of employees by region, by industry verticals
Region Marketing /
Comm. Services
Consumer Services
Core Ind. / Ind. Goods & Services
Banking & Finance IT Consumer
Goods Healthcare Others
Projected Base 2,482,231 8,297,777 11,498,625 5,446,781 5,922,796 5,076,814 3,502,774 7,610,865
North 16% 17% 17% 23% 20% 22% 25% 36%
South 15% 31% 25% 31% 39% 25% 23% 29%
East 7% 14% 19% 13% 7% 18% 17% 12%
West 61% 37% 38% 33% 34% 34% 35% 23%
Base: 9,000
Table 59: Distribution of employees by region, by job function
Region Accounts & Finance
Office Admin & General Mgt Marketing IT HR Project Mgt &
Operations Designing /
Creative Services
Projected Base 6,146,271 12,504,097 12,221,536 4,172,091 1,397,504 9,691,283 2,651,668
North 16% 23% 18% 25% 21% 20% 23%
South 30% 24% 33% 41% 36% 27% 32%
East 24% 12% 15% 9% 13% 17% 4%
West 30% 41% 34% 25% 30% 37% 41%
Base: 9,000
Table 60: Distribution of employees by region, by hierarchy level
Region Trainee/Fresher Executive/Operation level Junior Mgt Middle Mgt Senior Mgt Advisory Staff / Consultant
Projected Base 4,129,904 13,433,566 9,669,740 13,469,914 7,006,215 2,660,007
North 16% 19% 25% 23% 18% 21%
South 32% 31% 25% 29% 30% 24%
East 12% 18% 16% 13% 8% 11%
West 40% 32% 34% 35% 44% 44%
Base: 9,000
India Employee Speak 2007
53
Table 61: Distribution of employees by region, by educational qualification
Region HSC/SSC Graduate General Stream
Graduate Professional
Stream
Post-Graduate General Stream
Post-Graduate Professional
Stream Others
Projected Base 17,843,583 19,640,344 4,422,478 5,276,626 5,559,933 3,871,911
North 22% 23% 32% 24% 25% 12%
South 32% 28% 32% 39% 33% 33%
East 10% 18% 13% 17% 15% 10%
West 36% 33% 22% 20% 27% 45%
Base: 9,000
Table 62: Distribution of employees by region, by years of experience
Region Less than 1 year 1 - 3 years 4 - 6 years 7 - 10 years More than 10 years
Projected Base 5,777,915 6,405,850 7,635,364 8,042,904 28,752,843
North 16% 27% 20% 20% 21%
South 42% 25% 32% 28% 29%
East 8% 12% 15% 14% 15%
West 34% 37% 34% 38% 35%
Base: 9,000
Current HR Trends
54
11%
0% 1%
31%
58%
0%
20%
40%
60%
All white collar
Unmarried Married without childrenMarried with children Divorced/widow without childrenDivorced/widow with children
Chart 12: Distribution of employees by marital status
Base: 9,000
India Employee Speak 2007
55
Table 63: Distribution of employees by marital status, by industry verticals
Marital Status Marketing /
Comm. Services
Consumer Services
Core Ind. / Ind. Goods & Services
Banking &
Finance IT Consumer
Goods Healthcare Others
Projected Base 2,482,231 8,297,777 11,498,625 5,446,781 5,922,796 5,076,814 3,502,774 7,610,865
Unmarried 26% 22% 26% 33% 61% 29% 44% 21%
Married without children 6% 11% 11% 7% 12% 20% 9% 11%
Married with children 68% 67% 62% 59% 27% 50% 46% 68%
Divorced/widow without children
0.0% 0.1% 0.3% 0.1% 0.4% 0.2% 0.1% 0.1%
Divorced/widow with children 0.0% 0.5% 0.3% 0.8% 0.4% 0.0% 0.5% 0.6%
Base: 9,000
Table 64: Distribution of employees by marital status, by job function
Marital Status Accounts & Finance
Office Admin & General Mgt Marketing IT HR Project Mgt &
Operations
Designing / Creative Services
Projected Base 6,146,271 12,504,097 12,221,536 4,172,091 1,397,504 9,691,283 2,651,668
Unmarried 29% 23% 38% 40% 21% 29% 35%
Married without children 10% 7% 14% 14% 9% 10% 12%
Married with children 61% 70% 48% 45% 63% 60% 54%
Divorced/widow without children 0.0% 0.2% 0.1% 0.1% 0.4% 0.1% 0.0%
Divorced/widow with children 0.4% 0.2% 0.3% 0.3% 7% 0.3% 0.0%
Base: 9,000
Table 65: Distribution of employees by marital status, by hierarchy level
Marital Status Trainee/Fresher Executive/ Operation level Junior Mgt Middle Mgt Senior Mgt Advisory Staff /
Consultant
Projected Base 4,129,904 13,433,566 9,669,740 13,469,914 7,006,215 2,660,007
Unmarried 78% 37% 24% 23% 22% 23%
Married without children 7% 11% 14% 11% 8% 8%
Married with children 14% 52% 62% 65% 70% 69%
Divorced/widow without children 0.1% 0.1% 0.2% 0.3% 0.3% 0.0%
Divorced/widow with children 0.2% 0.1% 0.1% 0.6% 0.8% 0.2%
Base: 9,000
Current HR Trends
56
Table 66: Distribution of employees by marital status, by educational qualification
Marital Status HSC/SSC Graduate
General Stream
Graduate Professional
Stream
Post-Graduate General Stream
Post-Graduate Professional
Stream Others
Projected Base 17,843,583 19,640,344 4,422,478 5,276,626 5,559,933 3,871,911
Unmarried 54% 41% 69% 30% 45% 49%
Married without children 6% 11% 7% 9% 10% 13%
Married with children 38% 47% 23% 50% 44% 37%
Divorced/widow without children 0.3% 0.3% 0.1% 0.2% 0.4% 0.1%
Divorced/widow with children 1% 0.4% 1% 11% 0.6% 0.4%
Base: 9,000
Table 67: Distribution of employees by marital status, by years of experience
Marital Status Less than 1 year 1 - 3 years 4 - 6 years 7 - 10 years More than 10 years
Projected Base 5,777,915 6,405,850 7,635,364 8,042,904 28,752,843
Unmarried 77% 83% 65% 33% 6%
Married without children 4% 9% 15% 20% 8%
Married with children 19% 8% 19% 46% 85%
Divorced/widow without children 0.0% 0.1% 0.3% 0.1% 0.2%
Divorced/widow with children 0.1% 0.0% 0.1% 0.8% 0.6%
Base: 9,000
Table 68: Distribution of employees by educational qualification
Educational Qualification All white collar
Projected Base 56,614,875
HSC/SSC 32%
Graduate General Stream 35%
Graduate Professional Stream 8%
Post-Graduate General Stream 9%
Post-Graduate Professional Stream 10%
Others 7%
Base: 9,000
India Employee Speak 2007
57
Table 69: Distribution of employees by educational qualification, by industry verticals
Base: 9,000
Table 70: Distribution of employees by educational qualification, by job function
Educational Qualification
All white collar
Accounts & Finance
Office Admin & General Mgt Marketing IT HR
Project Mgt &
Operations
Designing / Creative Services
Projected Base 56,614,875 6,146,271 12,504,097 12,221,536 4,172,091 1,397,504 9,691,283 2,651,668
HSC/SSC 32% 23% 33% 33% 12% 4% 39% 48%
Graduate General Stream 35% 50% 40% 40% 28% 34% 24% 19%
Graduate Professional Stream 8% 3% 6% 6% 20% 3% 12% 7%
Post-Graduate General Stream
9% 15% 11% 5% 19% 25% 6% 2%
Post-Graduate Professional Stream 10% 8% 6% 12% 14% 30% 9% 2%
Others 7% 2% 5% 5% 8% 4% 9% 22%
Base: 9,000
Educational Qualification
All white collar
Marketing / Comm.
Services
Consumer Services
Core Ind. / Ind. Goods &
Services
Banking & Finance IT Consumer
Goods Healthcare
Projected Base 56,614,875 2,482,231 8,297,777 11,498,625 5,446,781 5,922,796 5,076,814 3,502,774
HSC/SSC 32% 53% 34% 36% 18% 23% 23% 21%
Graduate General Stream 35% 23% 33% 30% 50% 34% 42% 42%
Graduate Professional Stream
8% 3% 4% 11% 5% 15% 6% 5%
Post-Graduate General Stream 9% 6% 11% 5% 13% 8% 11% 9%
Post-Graduate Professional Stream 10% 8% 10% 9% 13% 10% 8% 20%
Others 7% 7% 7% 10% 2% 9% 9% 3%
Current HR Trends
58
Table 71: Distribution of employees by educational qualification, by hierarchy level
Educational Qualification All white collar
Trainee/ Fresher
Executive/ Operation
level Junior Mgt Middle Mgt Senior Mgt
Advisory Staff /
Consultant Projected Base 56,614,875 4,129,904 13,433,566 9,669,740 13,469,914 7,006,215 2,660,007
HSC/SSC 32% 36% 33% 30% 21% 33% 39%
Graduate General Stream 35% 35% 41% 38% 32% 28% 39%
Graduate Professional Stream 8% 13% 7% 6% 9% 13% 2%
Post-Graduate General Stream 9% 7% 6% 12% 11% 8% 14%
Post-Graduate Professional Stream 10% 5% 6% 7% 16% 15% 4%
Others 7% 4% 8% 6% 11% 3% 1%
Base: 9,000
Table 72: Distribution of employees by educational qualification, by educational qualification
Educational Qualification All white collar
Trainee/ Fresher
Executive/ Operation
level Junior Mgt Middle Mgt Senior Mgt Advisory Staff
/ Consultant
Projected Base 56,614,875 17,843,583 19,640,344 4,422,478 5,276,626 5,559,933 3,871,911
HSC/SSC 32% 100% 0.0% 0.0% 0.0% 0.0% 0.0%
Graduate General Stream 35% 0.0% 100% 0.0% 0.0% 0.0% 0.0%
Graduate Professional Stream 8% 0.0% 0.0% 100% 0.0% 0.0% 4%
Post-Graduate General Stream 9% 0.0% 0.0% 0.0% 100% 0.0% 0.0%
Post-Graduate Professional Stream 10% 0.0% 0.0% 0.0% 0.0% 100% 2%
Others 7% 0.0% 0.0% 0.0% 0.0% 0.0% 94%
Base: 9,000
Table 73: Distribution of employees by educational qualification, by years of experience
Educational Qualification All white collar Less than 1 year 1 - 3 years 4 - 6 years 7 - 10 years More than 10 years
Projected Base 56,614,875 5,777,915 6,405,850 7,635,364 8,042,904 28,752,843
HSC/SSC 32% 47% 29% 23% 21% 39%
Graduate General Stream 35% 25% 31% 44% 35% 33%
Graduate Professional Stream 8% 11% 13% 7% 7% 6%
Post-Graduate General Stream 9% 5% 8% 6% 11% 9%
Post-Graduate Professional Stream 10% 8% 13% 12% 12% 8%
Others 7% 4% 7% 7% 13% 5%
Base: 9,000
India Employee Speak 2007
59
Table 74: Distribution of employees by area of educational specialization
Area Of Educational Specialization All white collar
Projected Base 56,614,875
Engineering / Technical 27%
Mgt Studies 15%
Commerce 13%
Arts 6%
Gen. Science 6%
Other Specialized Courses 4%
No Spl 3%
Medical 2%
Economics 1%
Maths & Stats 1%
Others 3%
Not specify 19%
Base: 9,000
Table 75: Distribution of employees by area of educational specialization, by industry verticals
Area Of Educational Specialization
All white collar
Marketing / Comm.
Services
Consumer Services
Core Ind. / Ind. Goods & Services
Banking &
Finance IT Consumer
Goods Healthcare Others
Projected Base 56,614,875 2,482,231 8,297,777 11,498,625 5,446,781 5,922,796 5,076,814 3,502,774 7,610,865
No Spl 3% 2% 9% 2% 3% 1% 0.9% 2% 3%
Commerce 13% 5% 10% 9% 38% 11% 14% 10% 11%
Mgt Studies 15% 13% 10% 16% 16% 11% 27% 19% 14%
Gen. Science 6% 6% 5% 6% 6% 6% 3% 11% 8%
Engineering / Technical 27% 15% 28% 40% 8% 45% 21% 14% 25%
Medical 2% 0.1% 0.7% 0.3% 0.7% 0.4% 1% 9% 1%
Arts 6% 5% 7% 5% 3% 6% 9% 7% 10%
Maths & Stats 1% 0.2% 0.7% 0.8% 3% 2% 0.5% 2% 0.9%
Economics 1% 0.7% 0.7% 0.3% 2% 0.9% 4% 2% 1%
Other Specialized Courses
4% 6% 9% 0.6% 0.6% 2% 0.6% 7% 5%
Others 3% 0.3% 3% 5% 5% 2% 1% 0.6% 7%
Not specify 19% 48% 18% 16% 16% 13% 18% 17% 15%
Base: 9,000
Current HR Trends
60
Table 76: Distribution of employees by area of educational specialization, by job function
Area Of Educational Specialization
All white collar
Accounts & Finance
Office Admin &
General Mgt Marketing IT HR
Project Mgt &
Operations
Designing / Creative Services
Projected Base 56,614,875 6,146,271 12,504,097 12,221,536 4,172,091 1,397,504 9,691,283 2,651,668
No Spl 3% 2% 7% 2% 1% 0.1% 0.5% 2%
Commerce 13% 53% 10% 15% 3% 8% 3% 0.7%
Mgt Studies 15% 7% 17% 22% 5% 39% 15% 7%
Gen. Science 6% 4% 4% 8% 5% 4% 10% 0.4%
Engineering / Technical 27% 8% 19% 22% 68% 6% 35% 47%
Medical 2% 0.5% 0.7% 1% 0.1% 3% 2% 0.0%
Arts 6% 2% 9% 5% 3% 22% 3% 12%
Maths & Stats 1% 0.1% 0.8% 1% 2% 9% 1% 0.0%
Economics 1% 0.2% 4% 0.6% 2% 0.4% 0.6% 0.0%
Other Specialized Courses 4% 0.7% 4% 3% 0.6% 1% 10% 3%
Others 3% 0.9% 5% 3% 2% 2% 3% 6%
Not specify 19% 22% 20% 17% 10% 4% 16% 22%
Base: 9,000
Table 77: Distribution of employees by area of educational specialization, by hierarchy level
Area Of Educational Specialization
All white collar
Trainee/ Fresher
Executive/ Operation
levelJunior Mgt Middle Mgt Senior Mgt
Advisory Staff /
ConsultantProjected Base 56,614,87 4,129,904 13,433,566 9,669,740 13,469,914 7,006,215 2,660,007
No Spl 3% 2% 2% 10% 0.8% 0.8% 0.3%
Commerce 13% 9% 17% 17% 14% 10% 9%
Mgt Studies 15% 7% 14% 14% 19% 21% 16%
Gen. Science 6% 4% 7% 6% 6% 4% 6%
Engineering / Technical 27% 28% 28% 27% 31% 21% 13%
Medical 2% 0.4% 0.7% 3% 2% 2% 2%
Arts 6% 4% 6% 5% 7% 5% 8%
Maths & Stats 1% 1% 1% 2% 0.8% 1% 0.0%
Economics 1% 0.9% 2% 2% 1% 1% 0.3%
Other Specialized Courses 4% 4% 3% 1% 7% 3% 11%
Others 3% 6% 4% 0.8% 0.8% 2% 22%
Not specify 19% 33% 17% 13% 12% 30% 14%
Base: 9,000
India Employee Speak 2007
61
Table 78: Distribution of employees by area of educational specialization, by educational qualification
Area Of Educational Specialization
All white collar HSC/SSC
Graduate General Stream
Graduate Professional
Stream Post-Graduate
General Stream Post-Graduate
Professional Stream
Others
Projected Base 56,614,875 17,843,583 19,640,344 4,422,478 5,276,626 5,559,933 3,871,911
No Spl 3% 5% 3% 0.7% 0.3% 0.2% 1%
Commerce 13% 6% 20% 4% 16% 16% 1%
Mgt Studies 15% 4% 13% 11% 10% 39% 11%
Gen. Science 6% 4% 8% 2% 16% 6% 1%
Engineering / Technical 27% 25% 15% 68% 11% 19% 52%
Medical 2% 4% 1% 0.3% 0.5% 9% 6%
Arts 6% 4% 9% 0.6% 28% 4% 6%
Maths & Stats 1% 0.3% 3% 0.0% 2% 0.5% 0.0%
Economics 1% 0.0% 2% 0.0% 4% 0.4% 0.0%
Other Specialized Courses 4% 3% 4% 3% 3% 5% 3%
Others 3% 3% 2% 0.9% 1% 0.6% 2%
Not specify 19% 43% 22% 9% 8% 2% 17%
Base: 9,000
Table 79: Distribution of employees by area of educational specialization, by years of experience
Area Of Educational Specialization All white collar Less than 1 year 1 - 3 years 4 - 6 years 7 - 10 years More than 10 years
Projected Base 56,614,875 5,777,915 6,405,850 7,635,364 8,042,904 28,752,843
No Spl 3% 2% 0.9% 3% 2% 4%
Commerce 13% 9% 14% 13% 16% 13%
Mgt Studies 15% 10% 13% 13% 18% 16%
Gen. Science 6% 7% 6% 5% 6% 6%
Engineering / Technical 27% 23% 34% 25% 30% 24%
Medical 2% 0.6% 2% 2% 1% 2%
Arts 6% 3% 5% 10% 6% 6%
Maths & Stats 1% 0.7% 0.9% 0.9% 0.9% 1%
Economics 1% 1% 0.9% 2% 1% 0.9%
Other Specialized Courses 4% 2% 1% 1% 4% 5%
Others 3% 3% 0.4% 1% 0.5% 5%
Not specify 19% 41% 21% 25% 14% 18%
Base: 9,000
Current HR Trends
62
22%21%
43%
0%
10%
20%
30%
40%
50%
All white collar
SEC A SEC B SEC C
Socio-Economic Profile Chart 13: Distribution of employees by socio-economic classification
(SEC)
Base: 9,000
India Employee Speak 2007
63
Table 80: Distribution of employees by SEC, by industry verticals
SEC Marketing / Comm. Services
Consumer Services
Core Ind. / Ind. Goods & Services
Banking & Finance IT Consumer
Goods Healthcare Others
Projected Base 2,482,231 8,297,777 11,498,625 5,446,781 5,922,796 5,076,814 3,502,774 7,610,865
SEC A 17% 15% 24% 23% 20% 25% 28% 19%
SEC B 22% 31% 39% 44% 33% 36% 37% 42%
SEC C 61% 54% 38% 33% 47% 38% 35% 39%
Base: 9,000
Table 81: Distribution of employees by SEC, by job function
SEC Accounts & Finance
Office Admin & General Mgt Marketing IT HR Project Mgt & Operations Designing /
Creative Services
Projected Base 6,146,271 12,504,097 12,221,536 4,172,091 1,397,504 9,691,283 2,651,668
SEC A 20% 19% 23% 21% 44% 23% 8%
SEC B 42% 37% 35% 43% 46% 38% 17%
SEC C 39% 44% 42% 36% 10% 39% 75%
Base: 9,000
Table 82: Distribution of employees by SEC, by educational qualification
SEC HSC/SSC Graduate
General Stream
Graduate Professional
Stream
Post-Graduate General Stream
Post-Graduate Professional
Stream Others
Projected Base 17,843,583 19,640,344 4,422,478 5,276,626 5,559,933 3,871,911
SEC A 5% 20% 29% 30% 47% 13%
SEC B 23% 46% 25% 35% 26% 36%
SEC C 72% 34% 46% 35% 26% 51%
Base: 9,000
Table 83: Distribution of employees by SEC, by years of experience
SEC Less than 1 year 1 - 3 years 4 - 6 years 7 - 10 years More than 10 years
Projected Base 5,777,915 6,405,850 7,635,364 8,042,904 28,752,843
SEC A 11% 13% 19% 23% 22%
SEC B 31% 29% 34% 33% 40%
SEC C 58% 58% 47% 44% 39%
Base: 9,000
64
Segment Wise Detailed Tables
65
Table 1: Current terms of employment
Gender All white collar Full-time Part time Apprenticeship / Internship
Sample Base 9,000 8,843 117 40
Male 89% 90% 76% 92%
Female 11% 10% 24% 8%
Table 2: Current terms of employment
Age Group All white collar Full-time Part time Apprenticeship / Internship
Sample Base 9,000 8,843 117 40
Bellow 25 years 13% 12% 21% 60%
25-35 years 40% 40% 27% 32%
36-45 years 26% 25% 32% 4%
Above 45 years 22% 22% 21% 5%
Table 3: Current terms of employment
Education All white collar Full-time Part time Apprenticeship / Internship
Sample Base 9,000 8,843 117 40
HSC/SSC 32% 31% 48% 30%
Graduate General Stream 35% 35% 33% 19%
Graduate Professional Stream 8% 8% 4% 34%
Post-Graduate General Stream 9% 9% 5% 4%
Post-Graduate Professional Stream 10% 10% 7% 12%
Others 7% 7% 4% 0.3%
Table 4: Current terms of employment
Job Function All white collar Full-time Part time Apprenticeship / Internship
Sample Base 9,000 8,843 117 40
Accounts & Finance 13% 13% 6% 4%
Office Admin & General Mgt 26% 26% 27% 21%
Marketing 25% 25% 33% 30%
IT 9% 9% 6% 3%
HR 3% 3% 3% 0.0%
Project Mgt & Operations 20% 20% 21% 43%
Designing / Creative Services 5% 6% 5% 0.0%
66
Table 5: Current terms of employment
Industry Category All white collar Full-time Part time Apprenticeship / Internship
Sample Base 9,000 8,843 117 40
Marketing / Comm. Services 5% 5% 4% 2%
Consumer Services 17% 16% 27% 22%
Core Ind. / Ind. Goods & Services 23% 23% 9% 45%
Banking & Finance 11% 11% 18% 5%
IT 12% 12% 26% 6%
Consumer Goods 10% 10% 2% 0.0%
Healthcare 7% 7% 6% 13%
Others 15% 16% 8% 7%
Table 6: Current terms of employment
Hierarchy Level All white collar Full-time Part time Apprenticeship / Internship
Sample Base 9,000 8,843 117 40
Trainee/Fresher 8% 8% 17% 68%
Executive/Operation level 27% 27% 27% 17%
Junior Mgt 19% 20% 11% 0.0%
Middle Mgt 27% 27% 33% 1%
Senior Mgt 14% 14% 7% 14%
Advisory Staff / Consultant 5% 5% 6% 0.0%
67
Table 7: Age at first job
Gender All white collar Bellow 18 years 19-21 years 22-25 years 26-30 years 30 years or more
Sample Base 9,000 655 2,866 4,476 823 180
Male 89% 90% 85% 88% 92% 95%
Female 11% 10% 15% 12% 8% 5%
Table 8: Age at first job
Age Group All white collar Bellow 18 years 19-21 years 22-25 years 26-30 years 30 years or more
Sample Base 9,000 655 2,866 4,476 823 180
Bellow 25 years 13% 54% 30% 12% 0.0% 0.0%
25-35 years 40% 17% 36% 47% 46% 8%
36-45 years 26% 11% 18% 22% 31% 63%
Above 45 years 22% 19% 17% 19% 23% 30%
Table 9: Age at first job
Education All white collar Bellow 18 years 19-21 years 22-25 years 26-30 years 30 years or more
Sample Base 9,000 655 2,866 4,476 823 180
HSC/SSC 32% 64% 35% 19% 35% 59%
Graduate General Stream 35% 23% 37% 36% 34% 21%
Graduate Professional Stream 8% 5% 8% 11% 4% 3%
Post-Graduate General Stream 9% 4% 6% 11% 12% 8%
Post-Graduate Professional Stream 10% 1% 7% 16% 13% 6%
Others 7% 3% 8% 8% 2% 4%
Table 10: Age at first job
Job Function All white collar Bellow 18 years 19-21 years 22-25 years 26-30 years 30 years or more
Sample Base 9,000 655 2,866 4,476 823 180
Accounts & Finance 13% 8% 12% 13% 16% 11%
Office Admin & General Mgt 26% 47% 28% 18% 24% 25%
Marketing 25% 21% 24% 28% 18% 40%
IT 9% 5% 7% 12% 6% 0.2%
HR 3% 3% 2% 3% 4% 2%
Project Mgt & Operations 20% 16% 19% 20% 29% 22%
Designing / Creative Services 5% 0.9% 8% 6% 5% 0.1%
68
Table 11: Age at first job
Industry Category All white collar Bellow 18 years 19-21 years 22-25 years 26-30 years 30 years or more
Sample Base 9,000 655 2,866 4,476 823 180
Marketing / Comm. Services 5% 3% 7% 4% 6% 1%
Consumer Services 17% 29% 13% 14% 22% 33%
Core Ind. / Ind. Goods & Services 23% 24% 24% 21% 27% 17%
Banking & Finance 11% 9% 11% 13% 8% 6%
IT 12% 8% 13% 14% 7% 8%
Consumer Goods 10% 9% 11% 10% 10% 17%
Healthcare 7% 4% 6% 9% 8% 4%
Others 15% 14% 16% 15% 14% 15%
Table 12: Age at first job
Hierarchy Level All white collar Bellow 18 years 19-21 years 22-25 years 26-30 years 30 years or more
Sample Base 9,000 655 2,866 4,476 823 180
Trainee/Fresher 8% 11% 9% 8% 4% 3%
Executive/Operation level 27% 22% 25% 29% 30% 18%
Junior Mgt 19% 27% 19% 17% 22% 7%
Middle Mgt 27% 27% 25% 29% 27% 25%
Senior Mgt 14% 9% 18% 12% 10% 36%
Advisory Staff / Consultant 5% 4% 5% 5% 8% 11%
69
Table 13: Total work experience
Gender All white collar Less than 1 year 1-3 years 4-6 years 7-10 years More than 10 years
Sample Base 9,000 972 1,354 1,719 1,686 3,269
Male 89% 87% 79% 86% 87% 93%
Female 11% 13% 21% 14% 13% 7%
Table 14: Total work experience
Age Group All white collar Less than 1 year 1-3 years 4-6 years 7-10 years More than 10 years
Sample Base 9,000 972 1,354 1,719 1,686 3,269
Bellow 25 years 13% 60% 57% 30% 2% 0.5%
25-35 years 40% 23% 42% 68% 88% 15%
36-45 years 26% 13% 0.6% 3% 10% 42%
Above 45 years 22% 4% 0.0% 0.3% 0.3% 43%
Table 15: Total work experience
Education All white collar Less than 1 year 1-3 years 4-6 years 7-10 years More than 10 years
HSC/SSC 32% 47% 29% 23% 21% 39%
Graduate General Stream 35% 25% 31% 44% 36% 33%
Graduate Professional Stream 8% 11% 13% 7% 7% 6%
Post-Graduate General Stream 9% 5% 8% 6% 11% 9%
Post-Graduate Professional Stream 10% 8% 13% 12% 12% 8%
Others 7% 4% 7% 7% 13% 5%
Table 16: Total work experience
Job Function All white collar Less than 1 year 1-3 years 4-6 years 7-10 years More than 10 years
Sample Base 9,000 972 1,354 1,719 1,686 3,269
Accounts & Finance 13% 9% 13% 16% 12% 12%
Office Admin & General Mgt 26% 18% 18% 18% 23% 31%
Marketing 25% 36% 24% 35% 25% 21%
IT 9% 11% 19% 12% 8% 5%
HR 3% 2% 2% 3% 3% 3%
Project Mgt & Operations 20% 18% 20% 12% 18% 23%
Designing / Creative Services 5% 4% 5% 5% 11% 5%
70
Table 17: Total work experience
Industry Category All white collar Less than 1 year 1-3 years 4-6 years 7-10 years More than 10 years
Sample Base 9,000 972 1,354 1,719 1,686 3,269
Marketing / Comm. Services 5% 4% 3% 5% 6% 5%
Consumer Services 17% 16% 15% 9% 21% 18%
Core Ind. / Ind. Goods & Services 23% 25% 13% 18% 16% 29%
Banking & Finance 11% 6% 15% 11% 9% 11%
IT 12% 25% 32% 19% 14% 3%
Consumer Goods 10% 9% 10% 14% 14% 8%
Healthcare 7% 8% 6% 13% 9% 5%
Others 15% 8% 6% 12% 11% 21%
Table 18: Total work experience
Hierarchy Level All white collar Less than 1 year 1-3 years 4-6 years 7-10 years More than 10 years
Trainee/Fresher 8% 68% 23% 0.0% 0.0% 0.0%
Executive/Operation level 27% 17% 29% 36% 30% 24%
Junior Mgt 19% 3% 21% 21% 18% 21%
Middle Mgt 27% 2% 17% 29% 37% 30%
Senior Mgt 14% 10% 6% 10% 14% 18%
Advisory Staff / Consultant 5% 0.2% 4% 4% 3% 8%
71
Table 19: Number of jobs held
Gender All white collar 1st Job 2-3 Jobs 4-6 Jobs 7-10 Jobs
Sample Base 9,000 2,115 4,143 2,436 306
Male 89% 90% 86% 91% 91%
Female 11% 10% 14% 9% 9%
Table 20: Number of jobs held
Age Group All white collar 1st Job 2-3 Jobs 4-6 Jobs 7-10 Jobs
Sample Base 9,000 2,115 4,143 2,436 306
Bellow 25 years 13% 36% 21% 6% 4%
25-35 years 40% 27% 41% 49% 18%
36-45 years 26% 19% 22% 24% 38%
Above 45 years 22% 19% 17% 21% 40%
Table 21: Number of jobs held
Education All white collar 1st Job 2-3 Jobs 4-6 Jobs 7-10 Jobs
Sample Base 9,000 2,115 4,143 2,436 306
HSC/SSC 32% 39% 33% 32% 17%
Graduate General Stream 35% 30% 32% 39% 45%
Graduate Professional Stream 8% 10% 8% 6% 9%
Post-Graduate General Stream 9% 8% 9% 8% 10%
Post-Graduate Professional Stream 10% 8% 10% 12% 16%
Others 7% 4% 9% 4% 3%
Table 22: Number of jobs held
Job Function All white collar 1st Job 2-3 Jobs 4-6 Jobs 7-10 Jobs
Sample Base 9,000 2,115 4,143 2,436 306
Accounts & Finance 13% 15% 14% 8% 8%
Office Admin & General Mgt 26% 30% 26% 21% 23%
Marketing 25% 22% 26% 27% 24%
IT 9% 11% 7% 8% 10%
HR 3% 2% 3% 4% 4%
Project Mgt & Operations 20% 16% 19% 25% 29%
Designing / Creative Services 5% 4% 6% 7% 3%
72
Table 23: Number of jobs held
Industry Category All white collar 1st Job 2-3 Jobs 4-6 Jobs 7-10 Jobs
Sample Base 9,000 2,115 4,143 2,436 306
Marketing / Comm. Services 5% 8% 4% 5% 8%
Consumer Services 17% 10% 20% 16% 19%
Core Ind. / Ind. Goods & Services 23% 20% 25% 23% 27%
Banking & Finance 11% 12% 11% 10% 4%
IT 12% 12% 12% 12% 10%
Consumer Goods 10% 8% 10% 13% 20%
Healthcare 7% 7% 7% 9% 4%
Others 15% 24% 12% 13% 7%
Table 24: Number of jobs held
Hierarchy Level All white collar 1st Job 2-3 Jobs 4-6 Jobs 7-10 Jobs
Sample Base 9,000 2,115 4,143 2,436 306
Trainee/Fresher 8% 16% 9% 0.0% 0.0%
Executive/Operation level 27% 22% 29% 28% 14%
Junior Mgt 19% 21% 20% 15% 18%
Middle Mgt 27% 19% 26% 36% 32%
Senior Mgt 14% 16% 10% 18% 32%
Advisory Staff / Consultant 5% 6% 6% 3% 3%
73
Table 25: Tenure with current company
Gender All white collar Less than 1 year 1-3 years 4-6 years 7-10 years More than 10 years
Sample Base 9,000 3,441 2,538 1,090 674 1,257
Male 89% 85% 88% 91% 89% 94%
Female 11% 15% 12% 9% 11% 6%
Table 26: Tenure with current company
Age Group All white collar Less than 1 year 1-3 years 4-6 years 7-10 years More than 10 years
Sample Base 9,000 3,441 2,538 1,090 674 1,257
Bellow 25 years 13% 24% 23% 6% 0.4% 0.2%
25-35 years 40% 50% 54% 62% 57% 6%
36-45 years 26% 16% 17% 16% 33% 43%
Above 45 years 22% 10% 6% 17% 10% 51%
Table 27: Tenure with current company
Education All white collar Less than 1 year 1-3 years 4-6 years 7-10 years More than 10 years
Sample Base 9,000 3,441 2,538 1,090 674 1,257
HSC/SSC 32% 31% 27% 29% 24% 39%
Graduate General Stream 35% 34% 37% 36% 36% 33%
Graduate Professional Stream 8% 9% 9% 5% 11% 6%
Post-Graduate General Stream 9% 9% 8% 9% 13% 10%
Post-Graduate Professional Stream 10% 11% 12% 10% 11% 6%
Others 7% 6% 8% 11% 6% 5%
Table 28: Tenure with current company
Job Function All white collar Less than 1 year 1-3 years 4-6 years 7-10 years More than 10 years
Sample Base 9,000 3,441 2,538 1,090 674 1,257
Accounts & Finance 13% 10% 14% 13% 10% 14%
Office Admin & General Mgt 26% 19% 16% 29% 31% 37%
Marketing 25% 30% 29% 29% 17% 18%
IT 9% 12% 10% 9% 6% 6%
HR 3% 3% 3% 2% 3% 3%
Project Mgt & Operations 20% 22% 23% 12% 20% 18%
Designing / Creative Services 5% 4% 7% 7% 13% 4%
74
Table 29: Tenure with current company
Industry Category All white collar
Less than 1 year
1-3 years
4-6 years
7-10 years
More than 10 years
Sample Base 9,000 3,441 2,538 1,090 674 1,257
Marketing / Comm. Services 5% 5% 4% 2% 9% 6%
Consumer Services 17% 15% 14% 18% 14% 20%
Core Ind. / Ind. Goods & Services 23% 21% 23% 22% 28% 25%
Banking & Finance 11% 10% 12% 6% 8% 13%
IT 12% 23% 17% 13% 3% 0.9%
Consumer Goods 10% 11% 12% 12% 14% 7%
Healthcare 7% 7% 10% 11% 10% 3%
Others 15% 9% 8% 16% 15% 25%
Table 30: Tenure with current company
Hierarchy Level All white collar Less than 1 year 1-3 years 4-6 years 7-10 years More than 10 years
Sample Base 9,000 3,441 2,538 1,090 674 1,257
Trainee/Fresher 8% 23% 8% 0.0% 0.0% 0.0%
Executive/Operation level 27% 26% 30% 24% 26% 26%
Junior Mgt 19% 13% 15% 19% 24% 27%
Middle Mgt 27% 23% 28% 36% 30% 25%
Senior Mgt 14% 11% 16% 16% 19% 13%
Advisory Staff / Consultant 5% 4% 3% 5% 0.9% 9%
75
Table 31: Current salary levels and benefits packages
Gender All white collar
Up to Rs.1 lac
Rs.1-2 lacs
Rs.2-3 Lacs
Rs.3-5 lacs
Rs.5-7 lacs
Rs.7-10 lacs
Rs.10-20 lacs
Above 20 lacs
Not Specify
Sample Base 9,000 1,645 2,250 1,460 1,292 454 317 227 67 1,288
Male 89% 82% 90% 92% 94% 95% 95% 97% 96% 93%
Female 11% 18% 10% 8% 6% 5% 5% 3% 4% 7%
Table 32: Current salary levels and benefits packages
Age Group All white collar
Up to Rs.1 lac
Rs.1-2 lacs
Rs.2-3 Lacs
Rs.3-5 lacs
Rs.5-7 lacs
Rs.7-10 lacs
Rs.10-20 lacs
Above 20 lacs
Not Specify
Sample Base 9,000 1,645 2,250 1,460 1,292 454 317 227 67 1,288
Bellow 25 13% 24% 13% 7% 2% 2% 3% 2% 7% 10%
25-35 years 40% 48% 38% 33% 39% 36% 26% 21% 24% 41%
36-45 years 26% 18% 26% 27% 28% 38% 37% 20% 27% 31%
Above 45 22% 10% 23% 34% 31% 24% 34% 57% 43% 19%
Table 33: Current salary levels and benefits packages
Education All white collar
Up to Rs.1 lac
Rs.1-2 lacs
Rs.2-3 Lacs
Rs.3-5 lacs
Rs.5-7 lacs
Rs.7-10 lacs
Rs.10-20 lacs
Above 20 lacs
Not Specify
Sample Base 9,000 1,645 2,250 1,460 1,292 454 317 227 67 1,288
HSC/SSC 32% 32% 39% 31% 12% 17% 26% 13% 0.0% 38%
Graduate General Stream
35% 40% 34% 35% 28% 25% 18% 42% 23% 35%
Graduate Professional Stream 8% 5% 5% 8% 17% 17% 13% 19% 19% 6%
Post-Graduate General Stream 9% 11% 9% 8% 13% 6% 7% 4% 11% 8%
Post-Graduate Professional Stream 10% 4% 7% 9% 25% 27% 33% 21% 40% 8%
Others 7% 8% 7% 9% 5% 8% 3% 2% 7% 5%
76
Table 34: Current salary levels and benefits packages
Job Function All white collar
Up to Rs.1 lac
Rs.1-2 lacs
Rs.2-3 Lacs
Rs.3-5 lacs
Rs.5-7 lacs
Rs.7-10 lacs
Rs.10-20 lacs
Above 20 lacs
Not Specify
Sample Base 9,000 1,645 2,250 1,460 1,292 454 317 227 67 1,288
Accounts & Finance 13% 16% 12% 11% 10% 6% 19% 32% 10% 9%
Office Admin & General Mgt
26% 29% 28% 27% 20% 12% 18% 10% 36% 24%
Marketing 25% 21% 29% 22% 23% 46% 19% 13% 12% 29%
IT 9% 8% 8% 7% 13% 8% 11% 19% 10% 8%
HR 3% 2% 3% 3% 4% 4% 4% 6% 4% 3%
Project Mgt & Operations 20% 18% 16% 25% 25% 23% 28% 19% 28% 21%
Designing / Creative Services 5% 6% 6% 6% 6% 1% 2% 0.7% 0.0% 6%
Table 35: Current salary levels and benefits packages
Industry Category All white collar
Up to Rs.1 lac
Rs.1-2 lacs
Rs.2-3 Lacs
Rs.3-5 lacs
Rs.5-7 lacs
Rs.7-10 lacs
Rs.10-20 lacs
Above 20 lacs
Not Specify
Sample Base 9,000 1,645 2,250 1,460 1,292 454 317 227 67 1,288
Marketing / Comm. Services
5% 4% 7% 5% 2% 3% 5% 1% 5% 7%
Consumer Services 17% 21% 16% 20% 9% 11% 4% 6% 10% 17%
Core Ind. / Ind. Goods & Services
23% 19% 20% 22% 30% 25% 36% 57% 20% 24%
Banking & Finance 11% 10% 11% 15% 16% 9% 7% 5% 14% 7%
IT 12% 12% 15% 10% 10% 9% 6% 6% 27% 9%
Consumer Goods 10% 13% 7% 9% 10% 12% 13% 3% 13% 12%
Healthcare 7% 7% 8% 4% 11% 21% 4% 8% 3% 4%
Others 15% 14% 15% 16% 12% 9% 26% 15% 9% 20%
Table 36: Current salary levels and benefits packages
Hierarchy Level All white collar
Up to Rs.1 lac
Rs.1-2 lacs
Rs.2-3 Lacs
Rs.3-5 lacs
Rs.5-7 lacs
Rs.7-10 lacs
Rs.10-20 lacs
Above 20 lacs
Not Specify
Sample Base 9,000 1,645 2,250 1,460 1,292 454 317 227 67 1,288
Trainee/Fresher 8% 20% 4% 5% 0.6% 0.6% 0.7% 0.4% 0.0% 8%
Executive/Operation level
27% 24% 34% 24% 13% 18% 5% 33% 13% 36%
Junior Mgt 19% 15% 21% 30% 17% 13% 9% 7% 2% 21%
Middle Mgt 27% 22% 22% 26% 52% 36% 41% 29% 36% 23%
Senior Mgt 14% 10% 16% 9% 16% 32% 30% 25% 49% 11%
Advisory Staff / Consultant
5% 9% 4% 6% 1% 0.5% 15% 6% 0.2% 2%
77
Table 37: Distribution of employees by gender
Gender All white collar Male Female
Sample Base 9,000 7,581 1,419
Male 89% 100% 0.0%
Female 11% 0.0% 100%
Table 38: Distribution of employees by gender
Age Group All white collar Male Female
Sample Base 9,000 7,581 1,419
Bellow 25 years 13% 33% 43%
25-35 years 40% 30% 29%
36-45 years 26% 19% 15%
Above 45 years 22% 19% 13%
Table 39: Distribution of employees by gender
Education All white collar Male Female
Sample Base 9,000 7,581 1,419
HSC/SSC 32% 42% 34%
Graduate General Stream 35% 27% 31%
Graduate Professional Stream 8% 12% 8%
Post-Graduate General Stream 9% 6% 15%
Post-Graduate Professional Stream 10% 8% 9%
Others 7% 6% 3%
Table 40: Distribution of employees by gender
Job Function All white collar Male Female
Sample Base 9,000 7,581 1,419
Accounts & Finance 13% 12% 17%
Office Admin & General Mgt 26% 24% 39%
Marketing 25% 26% 21%
IT 9% 9% 8%
HR 3% 3% 5%
Project Mgt & Operations 20% 21% 7%
Designing / Creative Services 5% 6% 4%
78
Table 41: Distribution of employees by gender
Industry Category All white collar Male Female
Sample Base 9,000 7,581 1,419
Marketing / Comm. Services 5% 5% 5%
Consumer Services 17% 16% 21%
Core Ind. / Ind. Goods & Services 23% 24% 12%
Banking & Finance 11% 11% 11%
IT 12% 11% 21%
Consumer Goods 10% 10% 13%
Healthcare 7% 7% 7%
Others 15% 16% 10%
Table 42: Distribution of employees by gender
Hierarchy Level All white collar Male Female
Sample Base 9,000 7,581 1,419
Trainee/Fresher 8% 7% 17%
Executive/Operation level 27% 27% 27%
Junior Mgt 19% 19% 20%
Middle Mgt 27% 27% 22%
Senior Mgt 14% 15% 8%
Advisory Staff / Consultant 5% 5% 5%
79
Table 43: Distribution of employees by age
Gender All white collar Bellow 21 years 21-25 years 25-35 years 35-45 years Above 45 years
Sample Base 9,000 205 1,850 4,215 1,826 904
Male 89% 82% 86% 87% 89% 90%
Female 11% 18% 14% 14% 11% 10%
Table 44: Distribution of employees by age
Age Group All white collar Bellow 21 years 21-25 years 25-35 years 35-45 years Above 45 years
Sample Base 9,000 205 1,850 4,215 1,826 904
Bellow 25 years 13% 100% 69% 0.0% 0.0% 0.0%
25-35 years 40% 0.0% 31% 100% 0.0% 0.0%
36-45 years 26% 0.0% 0.0% 0.0% 100% 0.0%
Above 45 years 22% 0.0% 0.0% 0.0% 0.0% 100%
Table 45: Distribution of employees by age
Education All white collar Bellow 21 years 21-25 years 25-35 years 35-45 years Above 45 years
Sample Base 9,000 205 1,850 4,215 1,826 904
HSC/SSC 32% 65% 25% 28% 43% 40%
Graduate General Stream 35% 13% 34% 34% 28% 31%
Graduate Professional Stream 8% 17% 19% 8% 6% 7%
Post-Graduate General Stream 9% 0.2% 6% 10% 10% 11%
Post-Graduate Professional Stream 10% 0.8% 12% 12% 9% 8%
Others 7% 5% 5% 8% 4% 4%
Table 46: Distribution of employees by age
Job Function All white collar Bellow 21 years 21-25 years 25-35 years 35-45 years Above 45 years
Sample Base 9,000 205 1,850 4,215 1,826 904
Accounts & Finance 13% 23% 10% 13% 11% 14%
Office Admin & General Mgt 26% 19% 18% 17% 29% 41%
Marketing 25% 34% 32% 28% 25% 15%
IT 9% 11% 14% 12% 5% 4%
HR 3% 0.7% 2% 3% 4% 4%
Project Mgt & Operations 20% 9% 19% 19% 24% 20%
Designing / Creative Services 5% 3% 6% 9% 4% 2%
80
Table 47: Distribution of employees by age
Industry Category All white collar Bellow 21 years 21-25 years 25-35 years 35-45 years Above 45 years
Sample Base 9,000 205 1,850 4,215 1,826 904
Marketing / Comm. Services 5% 2% 4% 5% 4% 8%
Consumer Services 17% 18% 11% 17% 21% 15%
Core Ind. / Ind. Goods & Services 23% 28% 17% 17% 28% 30%
Banking & Finance 11% 20% 12% 8% 10% 15%
IT 12% 21% 28% 16% 4% 2%
Consumer Goods 10% 9% 12% 13% 10% 5%
Healthcare 7% 1% 8% 10% 7% 3%
Others 15% 2% 8% 14% 17% 22%
Table 48: Distribution of employees by age
Hierarchy Level All white collar Bellow 21 years 21-25 years 25-35 years 35-45 years Above 45 years
Sample Base 9,000 205 1,850 4,215 1,826 904
Trainee/Fresher 8% 36% 28% 6% 3% 1%
Executive/Operation level 27% 23% 30% 31% 21% 25%
Junior Mgt 19% 10% 16% 18% 21% 23%
Middle Mgt 27% 19% 14% 32% 29% 25%
Senior Mgt 14% 6% 10% 11% 16% 21%
Advisory Staff / Consultant 5% 8% 4% 2% 11% 5%
81
Table 49: Distribution of employees by city
Gender All white collar Agra Ahmadabad Allahabad Amritsar Asansol Aurangabad
Sample Base 9,000 35 157 22 20 17 36
Male 89% 95% 80% 96% 93% 79% 86%
Female 11% 5% 20% 4% 7% 21% 14%
Table 50: Distribution of employees by city
Gender Bangalore Bhopal Bhubaneswar Chandigargh Chennai Coimbatore Cuttack Dehradun Delhi Dhanbad Sample Base 1,022 45 109 100 616 104 28 32 982 8 Male 81% 78% 92% 93% 92% 66% 95% 94% 86% 97%
Female 19% 23% 8% 7% 8% 34% 5% 6% 14% 3%
Table 51: Distribution of employees by city
Gender Faridabad Ghaziabad Goa Gurgaon Guwahati Hyderabad Indore Jabalpur
Sample Base 63 85 64 130 47 783 61 32
Male 86% 90% 93% 88% 87% 90% 82% 98%
Female 14% 10% 7% 12% 13% 10% 18% 2%
Table 52: Distribution of employees by city
Gender Jaipur Jodhpur kanpur Kochi kolkata Lucknow Ludhiana
Sample Base 90 20 43 128 517 117 45
Male 95% 79% 94% 81% 93% 85% 77%
Female 6% 21% 7% 19% 7% 15% 23%
Table 53: Distribution of employees by city
Gender Madurai Mangalore Meerut Mumbai Nagpur Nashik Noida
Sample Base 31 35 12 1,380 91 66 115
Male 88% 93% 99% 79% 91% 97% 83%
Female 12% 7% 1% 21% 9% 3% 17%
Table 54: Distribution of employees by city
Gender Patna Pune Raipur Rajkot Ranchi Solapur Surat Thiruvananthapuram Tiruchirapalli
Sample Base 43 416 34 30 29 8 57 63 38
Male 96% 83% 88% 98% 92% 97% 95% 93% 86%
Female 4% 17% 12% 2% 8% 3% 5% 7% 14%
Table 55: Distribution of employees by city
Gender Vadodara Varanasi Vijayavada Visakhapatanam Others from North India
Others from South India
Others from East India
Others from West India
Sample Base 91 11 48 98 197 263 148 138
Male 89% 95% 92% 90% 96% 74% 96% 85%
Female 11% 5% 9% 10% 4% 26% 4% 15%
82
Table 56: Distribution of employees by city
Age Group All white collar Agra Ahmadabad Allahabad Amritsar Asansol Aurangabad
Sample Base 9,000 35 157 22 20 17 36
Bellow 25 years 13% 53% 36% 17% 48% 32% 28%
25-35 years 40% 20% 19% 12% 36% 39% 49%
36-45 years 26% 21% 26% 70% 9% 21% 18%
Above 45 years 22% 6% 19% 1% 6% 8% 5%
Table 57: Distribution of employees by city
Age Group Bangalore Bhopal Bhubaneswar Chandigargh Chennai Coimbatore Cuttack Dehradun Delhi Dhanbad
Sample Base 1,022 45 109 100 616 104 28 32 982 8
Bellow 25 years 37% 32% 22% 23% 42% 47% 20% 37% 34% 44%
25-35 years 37% 48% 43% 42% 16% 27% 31% 23% 26% 29%
36-45 years 17% 6% 26% 6% 11% 12% 18% 32% 25% 20%
Above 45 years 9% 14% 9% 29% 32% 14% 31% 8% 15% 7%
Table 58: Distribution of employees by city
Age Group Faridabad Ghaziabad Goa Gurgaon Guwahati Hyderabad Indore Jabalpur
Sample Base 63 85 64 130 47 783 61 32
Bellow 25 years 62% 49% 24% 27% 20% 37% 44% 22%
25-35 years 26% 15% 38% 26% 50% 32% 37% 46%
36-45 years 5% 7% 29% 41% 17% 16% 13% 29%
Above 45 years 8% 29% 9% 6% 14% 16% 6% 4%
Table 59: Distribution of employees by city
Age Group Jaipur Jodhpur kanpur Kochi kolkata Lucknow Ludhiana
Sample Base 90 20 43 128 517 117 45
Bellow 25 years 56% 57% 24% 39% 25% 19% 35%
25-35 years 26% 35% 20% 31% 27% 19% 39%
36-45 years 12% 5% 33% 16% 20% 16% 22%
Above 45 years 6% 4% 23% 13% 28% 47% 4%
83
Table 60: Distribution of employees by city
Age Group Madurai Mangalore Meerut Mumbai Nagpur Nashik Noida
Sample Base 31 35 12 1,380 91 66 115
Bellow 25 years 28% 32% 67% 26% 47% 55% 26%
25-35 years 39% 15% 21% 30% 36% 8% 40%
36-45 years 11% 8% 7% 20% 11% 9% 17%
Above 45 years 22% 44% 5% 24% 6% 29% 17%
Table 61: Distribution of employees by city
Age Group Patna Pune Raipur Rajkot Ranchi Solapur Surat Thiruvananthapuram Tiruchirapalli
Sample Base 43 416 34 30 29 8 57 63 38
Bellow 25 years 59% 43% 29% 87% 48% 45% 36% 18% 36%
25-35 years 20% 32% 49% 7% 22% 27% 19% 31% 20%
36-45 years 9% 14% 9% 5% 13% 27% 30% 30% 28%
Above 45 years 12% 11% 14% 1% 17% 1% 16% 21% 16%
Table 62: Distribution of employees by city
Age Group Vadodara Varanasi Vijayavada Visakhapatanam Others from North India
Others from South India
Others from East India
Others from West India
Sample Base 91 11 48 98 197 263 148 138
Bellow 25 years 27% 21% 53% 30% 40% 30% 21% 31%
25-35 years 30% 35% 28% 44% 30% 26% 26% 28%
36-45 years 18% 32% 10% 8% 16% 22% 25% 21%
Above 45 years 26% 12% 9% 18% 15% 22% 28% 21%
84
Table 63: Distribution of employees by city
Education All white collar Agra Ahmadabad Allahabad Amritsar Asansol Aurangabad
Sample Base 9,000 35 157 22 20 17 36
HSC/SSC 32% 34% 37% 67% 41% 17% 28%
Graduate General Stream 35% 36% 36% 9% 35% 29% 41%
Graduate Professional Stream 8% 17% 12% 8% 4% 22% 10% Post-Graduate General Stream 9% 6% 4% 3% 9% 25% 14%
Post-Graduate Professional Stream 10% 4% 7% 4% 11% 6% 2%
Others 7% 1% 4% 9% 0% 1% 5%
Table 64: Distribution of employees by city
Education Bangalore Bhopal Bhubaneswar Chandigargh Chennai Coimbatore Cuttack Dehradun Delhi Dhanbad
Sample Base 1,022 45 109 100 616 104 28 32 982 8
HSC/SSC 42% 19% 21% 36% 47% 47% 8% 36% 45% 9% Graduate General Stream 21% 31% 28% 28% 19% 11% 60% 38% 33% 64%
Graduate Professional Stream 16% 19% 16% 10% 11% 18% 11% 9% 6% 9%
Post-Graduate General Stream 5% 7% 16% 13% 6% 8% 16% 8% 7% 5%
Post-Graduate Professional Stream 7% 12% 12% 8% 6% 8% 4% 8% 7% 7%
Others 10% 12% 7% 4% 11% 9% 1% 1% 2% 6%
Table 65: Distribution of employees by city
Education Faridabad Ghaziabad Goa Gurgaon Guwahati Hyderabad Indore Jabalpur
Sample Base 63 85 64 130 47 783 61 32
HSC/SSC 30% 51% 55% 42% 37% 30% 22% 29%
Graduate General Stream 44% 23% 23% 19% 38% 33% 29% 31%
Graduate Professional Stream 12% 11% 5% 14% 5% 14% 14% 21%
Post-Graduate General Stream 3% 7% 8% 5% 16% 10% 9% 11% Post-Graduate Professional Stream 11% 6% 8% 13% 5% 11% 17% 7%
Others 1% 2% 2% 6% 1% 2% 8% 2%
Table 66: Distribution of employees by city
Education Jaipur Jodhpur kanpur Kochi kolkata Lucknow Ludhiana
Sample Base 90 20 43 128 517 117 45
HSC/SSC 49% 32% 10% 54% 28% 17% 33%
Graduate General Stream 25% 46% 34% 21% 39% 20% 33%
Graduate Professional Stream 8% 1% 12% 8% 10% 11% 16%
Post-Graduate General Stream 9% 4% 14% 9% 5% 33% 7% Post-Graduate Professional Stream 8% 5% 29% 7% 10% 18% 10%
Others 1% 12% 0% 1% 8% 1% 0%
85
Table 67: Distribution of employees by city
Education Madurai Mangalore Meerut Mumbai Nagpur Nashik Noida
Sample Base 31 35 12 1,380 91 66 115
HSC/SSC 15% 50% 20% 53% 27% 42% 33%
Graduate General Stream 22% 31% 38% 29% 31% 45% 34%
Graduate Professional Stream 17% 7% 30% 3% 20% 5% 12%
Post-Graduate General Stream 15% 5% 6% 3% 8% 1% 6%
Post-Graduate Professional Stream 24% 3% 6% 4% 9% 1% 13%
Others 7% 4% 1% 8% 5% 5% 2%
Table 68: Distribution of employees by city
Education Patna Pune Raipur Rajkot Ranchi Solapur Surat Thiruvananthapuram Tiruchirapalli
Sample Base 43 416 34 30 29 8 57 63 38
HSC/SSC 34% 41% 22% 59% 34% 61% 35% 57% 22%
Graduate General Stream 34% 29% 21% 17% 39% 31% 13% 23% 34%
Graduate Professional Stream 24% 12% 10% 18% 14% 2% 7% 8% 19%
Post-Graduate General Stream 3% 4% 2% 1% 5% 3% 4% 7% 2% Post-Graduate Professional Stream 4% 8% 21% 4% 8% 2% 28% 4% 20%
Others 1% 7% 24% 2% 0% 1% 14% 2% 3%
Table 69: Distribution of employees by city
Education Vadodara Varanasi Vijayavada Visakhapatanam Others from North India
Others from South India
Others from East India
Others from West India
Sample Base 91 11 48 98 197 263 148 138
HSC/SSC 54% 27% 44% 28% 36% 42% 44% 45%
Graduate General Stream 25% 47% 24% 41% 22% 23% 32% 26% Graduate Professional Stream 4% 4% 8% 11% 26% 9% 9% 8%
Post-Graduate General Stream 7% 7% 5% 6% 7% 14% 6% 4%
Post-Graduate Professional Stream 7% 14% 8% 8% 7% 9% 9% 6%
Others 3% 1% 12% 6% 2% 4% 1% 12%
86
Table 70: Distribution of employees by city
Job Function All white collar Agra Ahmadabad Allahabad Amritsar Asansol Aurangabad
Sample Base 9,000 35 157 22 20 17 36
Accounts & Finance 13% 2% 6% 27% 9% 53% 18% Office Admin & General Management 26% 16% 45% 38% 31% 12% 31%
Marketing 25% 40% 16% 18% 36% 13% 27%
IT 9% 11% 3% 2% 0% 1% 8%
Human Resource 3% 0% 21% 4% 3% 0% 1%
Project Management & Operations 20% 32% 10% 11% 7% 6% 15%
Designing / Creative Services 5% 0% 1% 0% 14% 15% 0%
Table 71: Distribution of employees by city
Job Function Bangalore Bhopal Bhubaneswar Chandigargh Chennai Coimbatore Cuttack Dehradun Delhi Dhanbad
Sample Base 1,022 45 109 100 616 104 28 32 982
8
Accounts & Finance 12% 10% 25% 9% 6% 5% 2% 23% 9% 17% Office Admin & General Management 19% 11% 8% 28% 15% 8% 42% 21% 44% 0%
Marketing 28% 32% 34% 17% 16% 24% 25% 9% 22% 69%
IT 19% 10% 3% 7% 14% 17% 24% 28% 10% 14%
Human Resource 2% 0% 1% 2% 6% 2% 0% 2% 3% 0% Project Management & Operations 18% 37% 28% 21% 16% 34% 6% 10% 8% 0%
Designing / Creative Services 4% 0% 1% 16% 28% 11% 0% 6% 4% 0%
Table 72: Distribution of employees by city
Job Function Faridabad Ghaziabad Goa Gurgaon Guwahati Hyderabad Indore Jabalpur
Sample Base 63 85 64 130 47 783 61 32
Accounts & Finance 23% 7% 24% 14% 19% 17% 27% 17% Office Admin & General Management 32% 24% 7% 23% 21% 16% 9% 48%
Marketing 12% 28% 29% 30% 28% 39% 36% 6%
IT 4% 12% 6% 12% 1% 10% 9% 8%
Human Resource 0% 5% 2% 2% 10% 3% 1% 3% Project Management & Operations 12% 22% 27% 18% 19% 13% 15% 7%
Designing / Creative Services 18% 3% 8% 1% 2% 3% 3% 11%
87
Table 73: Distribution of employees by city
Job Function Jaipur Jodhpur kanpur Kochi kolkata Lucknow Ludhiana
Sample Base 90 20 43 128 517 117 45
Accounts & Finance 20% 0% 5% 26% 16% 4% 53% Office Admin & General Management 36% 26% 6% 17% 20% 18% 3%
Marketing 19% 62% 21% 30% 35% 11% 36%
IT 4% 4% 19% 9% 6% 51% 6%
Human Resource 2% 0% 3% 6% 3% 4% 0% Project Management & Operations 11% 8% 46% 10% 19% 11% 3%
Designing / Creative Services 9% 0% 0% 2% 2% 1% 0%
Table 74: Distribution of employees by city
Job Function Madurai Mangalore Meerut Mumbai Nagpur Nashik Noida
Sample Base 31 35 12 1,380 91 66 115
Accounts & Finance 28% 78% 4% 12% 12% 52% 3%
Office Admin & General Management 9% 8% 25% 36% 17% 12% 16%
Marketing 13% 4% 49% 17% 30% 14% 21%
IT 28% 8% 0% 6% 5% 7% 11%
Human Resource 15% 2% 0% 3% 1% 1% 5%
Project Management & Operations 7% 1% 22% 19% 35% 12% 22%
Designing / Creative Services 0% 1% 0% 7% 0% 2% 22%
Table 75: Distribution of employees by city
Job Function Patna Pune Raipur Rajkot Ranchi Solapur Surat Thiruvananthapuram Tiruchirapalli
Sample Base 43 416 34 30 29 8 57 63 38
Accounts & Finance 31% 4% 1% 7% 28% 0% 6% 2% 4% Office Admin & General Management 13% 13% 27% 17% 22% 16% 46% 39% 16%
Marketing 21% 47% 20% 41% 10% 16% 18% 33% 8%
IT 24% 10% 1% 6% 2% 3% 0% 9% 4%
Human Resource 0% 2% 1% 3% 0% 0% 3% 1% 2% Project Management & Operations 12% 22% 15% 23% 38% 65% 25% 16% 53%
Designing / Creative Services 0% 2% 36% 4% 0% 0% 2% 1% 14%
Table 76: Distribution of employees by city
Job Function Vadodara Varanasi Vijayavada Visakhapatanam Others from North India
Others from South India
Others from East India
Others from West India
Sample Base 91
11
48 98 197 263 148 138
Accounts & Finance 4% 1% 3% 10% 6% 8% 20% 7% Office Admin & General Management 23% 65% 30% 37% 29% 22% 28% 43%
Marketing 33% 3% 12% 14% 22% 43% 19% 19%
IT 13% 0% 31% 11% 7% 5% 3% 2%
Human Resource 1% 4% 8% 4% 4% 3% 3% 1% Project Management & Operations 26% 28% 16% 23% 33% 14% 26% 23%
Designing / Creative Services 1% 0% 0% 0% 0% 5% 1% 6%
88
Table 77: Distribution of employees by city
Industry Category All white collar Agra Ahmadabad Allahabad Amritsar Asansol Aurangabad Sample Base 9,000 35 157 22 20 17 36 Marketing / Comm. Services 5% 1% 2% 0% 0% 1% 1% Consumer Services 17% 10% 10% 11% 22% 4% 18% Core Ind. / Ind. Goods & Services 23% 12% 12% 23% 15% 25% 14% Banking & Finance 11% 22% 39% 15% 3% 0% 13% IT 12% 6% 8% 5% 30% 1% 18% Consumer Goods 10% 15% 17% 8% 0% 58% 24% Healthcare 7% 6% 6% 20% 7% 0% 10% Others 15% 29% 7% 19% 23% 11% 3%
Table 78: Distribution of employees by city
Industry Category Bangalore Bhopal Bhubaneswar Chandigargh Chennai Coimbatore Cuttack Dehradun Delhi Dhanbad Sample Base 1,022 45 109 100 616 104 28 32 982 8 Marketing / Comm. Services 2% 6% 3% 4% 3% 1% 0% 21% 8% 0%
Consumer Services 15% 12% 28% 19% 11% 10% 39% 10% 11% 31%
Core Ind. / Ind. Goods & Services 14% 18% 27% 24% 25% 31% 10% 14% 12% 0%
Banking & Finance 6% 14% 8% 9% 4% 5% 4% 11% 8% 17% IT 33% 18% 5% 15% 22% 13% 0% 27% 10% 14% Consumer Goods 10% 11% 11% 22% 6% 19% 34% 3% 10% 0% Healthcare 13% 7% 15% 2% 2% 4% 2% 5% 10% 31% Others 7% 14% 3% 6% 27% 16% 10% 9% 31% 7%
Table 79: Distribution of employees by city
Table 80: Distribution of employees by city
Industry Category Jaipur Jodhpur kanpur Kochi kolkata Lucknow Ludhiana Sample Base 90 20 43 128 517 117 45 Marketing / Comm. Services 7% 0% 7% 1% 2% 8% 0%
Consumer Services 11% 6% 28% 35% 13% 6% 5% Core Ind. / Ind. Goods & Services 12% 2% 17% 10% 18% 7% 17%
Banking & Finance 27% 68% 5% 14% 17% 54% 46% IT 7% 4% 1% 12% 18% 2% 13% Consumer Goods 7% 4% 7% 14% 10% 4% 9% Healthcare 19% 10% 12% 5% 10% 3% 5% Others 11% 6% 23% 10% 12% 16% 5%
Industry Category Faridabad Ghaziabad Goa Gurgaon Guwahati Hyderabad Indore Jabalpur Sample Base 63 85 64 130 47 783 61 32 Marketing / Comm. Services 2% 4% 1% 2% 4% 5% 2% 0%
Consumer Services 13% 3% 22% 11% 7% 12% 9% 4% Core Ind. / Ind. Goods & Services 7% 20% 40% 19% 13% 18% 19% 61%
Banking & Finance 24% 19% 6% 7% 5% 18% 5% 10% IT 7% 7% 2% 27% 1% 25% 22% 2% Consumer Goods 5% 8% 5% 20% 8% 4% 13% 14% Healthcare 16% 2% 21% 4% 8% 8% 25% 1% Others 26% 36% 2% 11% 54% 11% 5% 9%
89
Table 81: Distribution of employees by city
Industry Category Madurai Mangalore Meerut Mumbai Nagpur Nashik Noida
Sample Base 31 35 12 1,380 91 66 115
Marketing / Comm. Services 0% 0% 0% 6% 7% 3% 3%
Consumer Services 17% 9% 28% 27% 15% 6% 14% Core Ind. / Ind. Goods & Services 8% 7% 10% 16% 42% 30% 35%
Banking & Finance 22% 67% 49% 7% 4% 4% 3%
IT 6% 4% 0% 14% 2% 2% 18%
Consumer Goods 13% 0% 14% 10% 7% 9% 6%
Healthcare 5% 1% 0% 4% 7% 3% 5%
Others 30% 11% 0% 16% 18% 44% 17%
Table 82: Distribution of employees by city
Industry Category Patna Pune Raipur Rajkot Ranchi Solapur Surat Thiruvananthapuram Tiruchirapalli
Sample Base 43 416 34 30 29 8 57 63 38
Marketing / Comm. Services 1% 1% 4% 2% 0% 0% 0% 3% 2%
Consumer Services 26% 6% 7% 16% 22% 0% 1% 27% 55% Core Ind. / Ind. Goods & Services 4% 14% 71% 24% 33% 22% 83% 33% 16%
Banking & Finance 11% 6% 10% 30% 32% 3% 3% 5% 2%
IT 2% 46% 0% 2% 2% 0% 2% 13% 20%
Consumer Goods 14% 21% 4% 16% 4% 73% 9% 2% 2%
Healthcare 10% 2% 0% 5% 4% 3% 1% 2% 2%
Others 32% 5% 4% 5% 4% 0% 2% 16% 2%
Table 83: Distribution of employees by city
Industry Category Vadodara Varanasi Vijayavada Visakhapatanam Others from North India
Others from South India
Others from East India
Others from West India
Sample Base 91 11 48 98 197 263 148 138 Marketing / Comm. Services 3% 0% 2% 16% 1% 1% 3% 33%
Consumer Services 11% 4% 11% 12% 18% 17% 9% 20% Core Ind. / Ind. Goods & Services 42% 26% 5% 13% 18% 31% 54% 15%
Banking & Finance 13% 4% 9% 11% 7% 12% 5% 13%
IT 17% 0% 21% 9% 2% 6% 3% 2%
Consumer Goods 4% 0% 19% 1% 8% 11% 11% 6%
Healthcare 7% 3% 7% 5% 12% 6% 6% 4%
Others 5% 63% 26% 34% 35% 17% 10% 8%
90
Table 84: Distribution of employees by city
Hierarchy Level All white collar Agra Ahmadabad Allahabad Amritsar Asansol Aurangabad
Sample Base 9,000 35 157 22 20 17 36
Trainee/Fresher 8% 6% 28% 2% 0% 3% 1%
Executive/Operation level 27% 16% 15% 47% 31% 7% 44%
Junior Management 19% 24% 28% 4% 19% 70% 14%
Middle Management 27% 16% 16% 27% 26% 3% 22%
Senior Management 14% 39% 13% 21% 17% 14% 7% Advisory Staff / Consultant 5% 0% 1% 0% 7% 3% 13%
Table 85: Distribution of employees by city
Hierarchy Level Bangalore Bhopal Bhubaneswar Chandigargh Chennai Coimbatore Cuttack Dehradun Delhi Dhanbad
Sample Base 1,022 45 109 100 616 104 28 32 982 8
Trainee/Fresher 12% 10% 11% 14% 6% 8% 5% 4% 3% 7%
Executive/Operation level 27% 25% 31% 11% 25% 11% 29% 14% 35% 71%
Junior Management 17% 6% 20% 19% 13% 16% 15% 6% 16% 0%
Middle Management 23% 44% 30% 38% 44% 46% 12% 62% 27% 16%
Senior Management 20% 15% 9% 7% 11% 19% 6% 13% 12% 0%
Advisory Staff / Consultant 1% 0% 0% 12% 2% 0% 34% 0% 7% 7%
Table 86: Distribution of employees by city
Hierarchy Level Faridabad Ghaziabad Goa Gurgaon Guwahati Hyderabad Indore Jabalpur
Sample Base 63 85 64 130 47 783 61 32
Trainee/Fresher 22% 1% 20% 4% 14% 11% 2% 5%
Executive/Operation level 38% 13% 8% 20% 33% 35% 16% 22%
Junior Management 5% 29% 17% 38% 23% 10% 16% 15%
Middle Management 17% 49% 31% 28% 24% 27% 37% 18%
Senior Management 19% 5% 20% 8% 4% 14% 28% 39%
Advisory Staff / Consultant 0% 3% 6% 2% 3% 3% 1% 0%
Table 87: Distribution of employees by city
Hierarchy Level Jaipur Jodhpur kanpur Kochi kolkata Lucknow Ludhiana
Sample Base 90 20 43 128 517 117 45
Trainee/Fresher 1% 4% 3% 4% 7% 1% 1%
Executive/Operation level 33% 14% 7% 24% 33% 7% 41%
Junior Management 4% 4% 5% 15% 14% 13% 17%
Middle Management 38% 24% 34% 43% 29% 70% 15%
Senior Management 12% 0% 44% 13% 16% 7% 22%
Advisory Staff / Consultant 11% 54% 6% 0% 1% 2% 4%
91
Table 88: Distribution of employees by city
Hierarchy Level Madurai Mangalore Meerut Mumbai Nagpur Nashik Noida
Sample Base 31 35 12 1,380 91 66 115
Trainee/Fresher 0% 2% 0% 9% 1% 4% 6% Executive/Operation level 33% 82% 37% 22% 30% 19% 9%
Junior Management 29% 2% 0% 27% 30% 9% 36%
Middle Management 25% 10% 54% 20% 27% 12% 31%
Senior Management 13% 3% 9% 14% 11% 7% 15% Advisory Staff / Consultant 0% 2% 0% 7% 2% 50% 3%
Table 89: Distribution of employees by city
Hierarchy Level Patna Pune Raipur Rajkot Ranchi Solapur Surat Thiruvananthapuram Tiruchirapalli
Sample Base 43 416 34 30 29 8 57 63 38
Trainee/Fresher 2% 9% 0% 8% 8% 75% 16% 6% 1%
Executive/Operation level 21% 50% 23% 25% 31% 13% 10% 52% 7%
Junior Management 11% 15% 8% 0% 28% 8% 8% 11% 15%
Middle Management 64% 16% 53% 42% 18% 0% 63% 18% 13%
Senior Management 2% 8% 13% 17% 8% 0% 2% 13% 15%
Advisory Staff / Consultant 0% 2% 3% 8% 8% 4% 1% 0% 49%
Table 90: Distribution of employees by city
Hierarchy Level Vadodara Varanasi Vijayavada Visakhapatanam Others from North India
Others from South India
Others from East India
Others from West India
Sample Base 91
11
48 98 197 263 148 138
Trainee/Fresher 12% 0% 3% 29% 4% 10% 4% 1%
Executive/Operation level 32% 0% 18% 27% 34% 26% 42% 23%
Junior Management 17% 79% 4% 20% 27% 26% 25% 10%
Middle Management 30% 8% 52% 14% 15% 18% 21% 29%
Senior Management 8% 13% 12% 4% 14% 16% 5% 29%
Advisory Staff / Consultant 2% 0% 11% 6% 7% 3% 3% 8%
92
Table 91: Distribution of employees by city type
Gender All white collar Metros Urban uptowns Emerging Towns Others
Sample Base 9,000 5,873 1,561 820 746
Male 89% 84% 87% 90% 86%
Female 11% 16% 13% 10% 14%
Table 92: Distribution of employees by city type
Age Group All white collar Metros Urban uptowns Emerging Towns Others
Sample Base 9,000 5,873 1,561 820 746
Bellow 25 years 13% 33% 39% 34% 32%
25-35 years 40% 29% 28% 35% 28%
36-45 years 26% 19% 18% 17% 21%
Above 45 years 22% 20% 16% 14% 21%
Table 93: Distribution of employees by city type
Education All white collar Metros Urban uptowns Emerging Towns Others
Sample Base 9,000 5,873 1,561 820 746
HSC/SSC 32% 43% 46% 32% 41%
Graduate General Stream 35% 30% 23% 34% 25%
Graduate Professional Stream 8% 9% 11% 11% 14%
Post-Graduate General Stream 9% 5% 8% 8% 8%
Post-Graduate Professional Stream 10% 7% 8% 10% 8%
Others 7% 7% 4% 6% 5%
Table 94: Distribution of employees by city type
Job Function All white collar Metros Urban uptowns Emerging Towns Others
Sample Base 9,000 5,873 1,561 820 746
Accounts & Finance 13% 11% 12% 19% 10%
Office Admin & General Mgt 26% 28% 21% 22% 31%
Marketing 25% 25% 27% 21% 27%
IT 9% 9% 11% 9% 4%
HR 3% 3% 2% 3% 3%
Project Mgt & Operations 20% 17% 21% 20% 23%
Designing / Creative Services 5% 6% 6% 6% 4%
93
Table 95: Distribution of employees by city type
Industry Category All white collar Metros Urban uptowns Emerging Towns Others
Sample Base 9,000 5,873 1,561 820 746
Marketing / Comm. Services 5% 5% 3% 3% 10%
Consumer Services 17% 17% 15% 19% 16%
Core Ind. / Ind. Goods & Services 23% 16% 26% 24% 28%
Banking & Finance 11% 9% 11% 15% 10%
IT 12% 20% 14% 7% 4%
Consumer Goods 10% 10% 13% 8% 9%
Healthcare 7% 7% 6% 10% 7%
Others 15% 16% 14% 14% 17%
Table 96: Distribution of employees by city type
Hierarchy Level All white collar Metros Urban uptowns Emerging Towns Others
Sample Base 9,000 5,873 1,561 820 746
Trainee/Fresher 8% 9% 8% 11% 5%
Executive/Operation level 27% 29% 20% 27% 30%
Junior Mgt 19% 20% 20% 15% 21%
Middle Mgt 27% 24% 36% 26% 21%
Senior Mgt 14% 14% 12% 12% 18%
Advisory Staff / Consultant 5% 4% 4% 9% 5%
94
Table 97: Distribution of employees by region
Gender All white collar North South East West
Sample Base 9,000 2,009 3,265 946 2,780
Male 89% 91% 82% 93% 85%
Female 11% 9% 18% 7% 15%
Table 98: Distribution of employees by region
Age Group All white collar North South East West
Sample Base 9,000 2,009 3,265 946 2,780
Bellow 25 years 13% 36% 36% 26% 35%
25-35 years 40% 29% 29% 31% 30%
36-45 years 26% 19% 17% 21% 19%
Above 45 years 22% 16% 19% 22% 17%
Table 99: Distribution of employees by region
Education All white collar North South East West
Sample Base 9,000 2,009 3,265 946 2,780
HSC/SSC 32% 39% 42% 31% 46%
Graduate General Stream 35% 27% 24% 36% 28%
Graduate Professional Stream 8% 16% 11% 11% 8%
Post-Graduate General Stream 9% 7% 9% 9% 5%
Post-Graduate Professional Stream 10% 9% 8% 9% 7%
Others 7% 3% 6% 4% 7%
Table 100: Distribution of employees by region
Job Function All white collar North South East West
Sample Base 9,000 2,009 3,265 946 2,780
Accounts & Finance 13% 10% 13% 21% 11%
Office Admin & General Mgt 26% 29% 20% 21% 30%
Marketing 25% 22% 28% 26% 24%
IT 9% 11% 12% 5% 6%
HR 3% 3% 4% 3% 2%
Project Mgt & Operations 20% 20% 18% 23% 21%
Designing / Creative Services 5% 6% 6% 2% 6%
95
Table 101: Distribution of employees by region
Industry Category All white collar North South East West
Sample Base 9,000 2,009 3,265 946 2,780
Marketing / Comm. Services 5% 4% 3% 3% 9%
Consumer Services 17% 13% 18% 17% 18%
Core Ind. / Ind. Goods & Services 23% 18% 21% 31% 25%
Banking & Finance 11% 12% 12% 10% 10%
IT 12% 11% 16% 6% 12%
Consumer Goods 10% 10% 9% 13% 10%
Healthcare 7% 8% 6% 9% 7%
Others 15% 25% 16% 13% 10%
Table 102: Distribution of employees by region
Hierarchy Level All white collar North South East West
Sample Base 9,000 2,009 3,265 946 2,780
Trainee/Fresher 8% 6% 9% 7% 9%
Executive/Operation level 27% 24% 29% 34% 24%
Junior Mgt 19% 23% 17% 22% 18%
Middle Mgt 27% 30% 27% 24% 26%
Senior Mgt 14% 12% 14% 8% 17%
Advisory Staff / Consultant 5% 5% 5% 4% 6%
96
Table 103: Distribution of employees by marital status
Gender All white collar Unmarried Married without
children Married with
children Divorced/widow without
children Divorced/widow with
children
Sample Base 9,000 3,455 1,335 4,129 32 49
Male 89% 86% 87% 90% 36% 46%
Female 11% 14% 13% 10% 64% 54%
Table 104: Distribution of employees by marital status
Age Group All white collar
Unmarried Married without children
Married with children
Divorced/widow without children
Divorced/widow with children
Sample Base 9,000 3,455 1,335 4,129 32 49
Bellow 25 years 13% 67% 10% 0.5% 0.6% 0.0%
25-35 years 40% 28% 66% 24% 34% 12%
36-45 years 26% 3% 12% 38% 21% 39%
Above 45 years 22% 1% 12% 38% 44% 49%
Table 105: Distribution of employees by marital status
Education All white collar
Unmarried Married without children
Married with children
Divorced/widow without children
Divorced/widow with children
Sample Base 9,000 3,455 1,335 4,129 32 49
HSC/SSC 32% 45% 30% 39% 46% 35%
Graduate General Stream
35% 23% 36% 32% 29% 7%
Graduate Professional Stream
8% 16% 9% 7% 6% 8%
Post-Graduate General Stream 9% 4% 8% 9% 5% 47%
Post-Graduate Professional Stream
10% 7% 9% 9% 12% 3%
Others 7% 5% 8% 5% 2% 1%
97
Table 106: Distribution of employees by marital status
Job Function All white collar Unmarried Married without
children Married with
children Divorced/widow without
children Divorced/widow with
children
Sample Base 9,000 3,455 1,335 4,129 32 49
Accounts & Finance 13% 12% 11% 13% 5% 12%
Office Admin & General Mgt
26% 19% 17% 31% 37% 9%
Marketing 25% 31% 33% 21% 25% 17%
IT 9% 11% 11% 7% 5% 5%
HR 3% 2% 2% 3% 9% 44%
Project Mgt & Operations 20% 19% 19% 21% 19% 13%
Designing / Creative Services 5% 6% 6% 5% 0.0% 0.0%
Table 107: Distribution of employees by marital status
Industry Category All white collar Unmarried Married without
children Married with
children Divorced/widow without children
Divorced/widow with children
Sample Base 9,000 3,455 1,335 4,129 32 49
Marketing / Comm. Services
5% 4% 3% 6% 0.0% 0.0%
Consumer Services 17% 12% 16% 19% 10% 19%
Core Ind. / Ind. Goods & Services
23% 19% 23% 25% 35% 19%
Banking & Finance 11% 12% 7% 11% 7% 20%
IT 12% 23% 13% 6% 27% 11%
Consumer Goods 10% 10% 19% 9% 11% 0.0%
Healthcare 7% 10% 6% 6% 3% 8%
Others 15% 10% 15% 18% 7% 23%
Table 108: Distribution of employees by marital status
Hierarchy Level All white collar
Unmarried Married without children
Married with children
Divorced/widow without children
Divorced/widow with children
Sample Base 9,000 3,455 1,335 4,129 32 49
Trainee/Fresher 8% 21% 5% 2% 3% 6%
Executive/Operation level
27% 32% 28% 24% 8% 9%
Junior Mgt 19% 15% 25% 21% 24% 4%
Middle Mgt 27% 20% 28% 30% 42% 47%
Senior Mgt 14% 10% 10% 17% 22% 32%
Advisory Staff / Consultant
5% 4% 4% 6% 0.9% 3%
98
Table 109: Distribution of employees by socio-economic classification (SEC)
Gender All white collar SEC-A SEC-B SEC-C
Sample Base 9,000 5,196 1,642 302
Male 89% 86% 89% 86%
Female 11% 15% 11% 14%
Table 110: Distribution of employees by socio-economic classification (SEC)
Age Group All white collar SEC-A SEC-B SEC-C
Sample Base 9,000 5,196 1,642 302
Bellow 25 years 13% 22% 30% 40%
25-35 years 40% 32% 27% 30%
36-45 years 26% 23% 18% 18%
Above 45 years 22% 24% 25% 12%
Table 111: Distribution of employees by socio-economic classification (SEC)
Education All white collar SEC-A SEC-B SEC-C
Sample Base 9,000 5,196 1,642 302
HSC/SSC 32% 13% 32% 59%
Graduate General Stream 35% 32% 40% 18%
Graduate Professional Stream 8% 18% 9% 10%
Post-Graduate General Stream 9% 12% 8% 5%
Post-Graduate Professional Stream 10% 21% 6% 4%
Others 7% 4% 6% 5%
Table 112: Distribution of employees by socio-economic classification (SEC)
Job Function All white collar SEC-A SEC-B SEC-C
Sample Base 9,000 5,196 1,642 302
Accounts & Finance 13% 12% 14% 12%
Office Admin & General Mgt 26% 23% 26% 27%
Marketing 25% 27% 24% 25%
IT 9% 8% 10% 7%
HR 3% 6% 3% 0.7%
Project Mgt & Operations 20% 22% 21% 18%
Designing / Creative Services 5% 2% 3% 10%
99
Table 113: Distribution of employees by socio-economic classification (SEC)
Industry Category All white collar SEC-A SEC-B SEC-C
Sample Base 9,000 5,196 1,642 302
Marketing / Comm. Services 5% 4% 3% 7%
Consumer Services 17% 12% 14% 22%
Core Ind. / Ind. Goods & Services 23% 26% 25% 21%
Banking & Finance 11% 12% 13% 9%
IT 12% 11% 11% 13%
Consumer Goods 10% 12% 10% 9%
Healthcare 7% 9% 7% 6%
Others 15% 14% 18% 14%
Table 114: Distribution of employees by socio-economic classification (SEC)
Hierarchy Level All white collar SEC-A SEC-B SEC-C
Sample Base 9,000 5,196 1,642 302
Trainee/Fresher 8% 3% 6% 13%
Executive/Operation level 27% 20% 34% 25%
Junior Mgt 19% 14% 23% 19%
Middle Mgt 27% 38% 25% 22%
Senior Mgt 14% 23% 8% 14%
Advisory Staff / Consultant 5% 2% 5% 8%
100
Table 115: Distribution of employees by monthly household income (MHI)
Gender All white collar
Up to Rs.10,000
Rs.10,000 to
Rs.20,000
Rs.20,000 to
Rs.30,000
Rs.30,000 to
Rs.50,000
Rs.50,000 to
Rs.75,000
Rs.75,000 to Rs.100,000
More than Rs.100,000
Not specify
Sample Base 9,000 1,794 2,397 1,649 1,327 602 351 666 214
Male 89% 85% 89% 88% 88% 89% 90% 81% 90%
Female 11% 15% 11% 12% 12% 11% 10% 20% 10%
Table 116: Distribution of employees by monthly household income (MHI)
Age Group
All white collar
Up to Rs.10,000
Rs.10,000 to Rs.20,000
Rs.20,000 to Rs.30,000
Rs.30,000 to Rs.50,000
Rs.50,000 to Rs.75,000
Rs.75,000 to Rs.100,000
More than Rs.100,000
Not specify
Sample Base 9,000 1,794 2,397 1,649 1,327 602 351 666 214
Bellow 25 years 13% 44% 28% 22% 20% 25% 28% 30% 45%
25-35 years 40% 30% 29% 31% 28% 32% 36% 25% 25%
36-45 years 26% 15% 24% 20% 23% 14% 22% 15% 23%
Above 45 years 22% 12% 19% 27% 29% 29% 15% 31% 7%
Table 117: Distribution of employees by monthly household income (MHI)
Education All
white collar
Up to Rs.10,000
Rs.10,000 to
Rs.20,000
Rs.20,000 to
Rs.30,000
Rs.30,000 to
Rs.50,000
Rs.50,000 to
Rs.75,000
Rs.75,000 to Rs.100,000
More than Rs.100,000
Not specify
Sample Base 9,000 1,794 2,397 1,649 1,327 602 351 666 214
HSC/SSC 32% 51% 37% 24% 23% 29% 32% 46% 50%
Graduate General Stream
35% 25% 31% 36% 27% 27% 30% 21% 19%
Graduate Professional Stream
8% 9% 12% 14% 15% 10% 17% 9% 12%
Post-Graduate General Stream
9% 6% 8% 7% 11% 8% 5% 7% 5%
Post-Graduate Professional Stream
10% 3% 7% 13% 20% 20% 13% 13% 6%
Others 7% 6% 5% 5% 5% 6% 3% 5% 8%
101
Table 118: Distribution of employees by monthly household income (MHI)
Job Function
All white collar
Up to Rs.10,000
Rs.10,000 to
Rs.20,000
Rs.20,000 to
Rs.30,000
Rs.30,000 to
Rs.50,000
Rs.50,000 to
Rs.75,000
Rs.75,000 to Rs.100,000
More than Rs.100,000
Not specify
Sample Base 9,000 1,794 2,397 1,649 1,327 602 351 666 214
Accounts & Finance
13% 15% 11% 14% 9% 12% 16% 12% 8%
Office Admin & General Mgt
26% 31% 27% 17% 21% 25% 15% 25% 19%
Marketing 25% 19% 24% 34% 27% 28% 31% 33% 22%
IT 9% 7% 10% 7% 15% 7% 7% 8% 7%
HR 3% 1% 4% 3% 3% 6% 2% 2% 5%
Project Mgt & Operations
20% 20% 19% 21% 23% 22% 28% 15% 16%
Designing / Creative Services
5% 8% 4% 4% 2% 0.8% 2% 6% 24%
Table 119: Distribution of employees by monthly household income (MHI)
Industry Category All white collar
Up to Rs.10,000
Rs.10,000 to
Rs.20,000
Rs.20,000 to
Rs.30,000
Rs.30,000 to
Rs.50,000
Rs.50,000 to
Rs.75,000
Rs.75,000 to
Rs.100,000
More than
Rs.00,000
Not specify
Sample Base 9,000 1,794 2,397 1,649 1,327 602 351 666 214
Marketing / Comm. Services
5% 8% 2% 4% 2% 6% 3% 3% 25%
Consumer Services 17% 17% 19% 11% 15% 11% 34% 12% 20%
Core Ind. / Ind. Goods & Services 23% 23% 19% 31% 26% 33% 21% 19% 15%
Banking & Finance 11% 7% 12% 16% 18% 10% 8% 15% 9%
IT 12% 15% 11% 11% 10% 10% 10% 10% 12%
Consumer Goods 10% 12% 10% 8% 8% 7% 9% 11% 8%
Healthcare 7% 7% 5% 6% 9% 10% 11% 13% 4%
Others 15% 12% 22% 14% 13% 12% 5% 17% 8%
Table 120: Distribution of employees by monthly household income (MHI)
Hierarchy Level All white collar
Up to Rs.10,000
Rs.10,000 to
Rs.20,000
Rs.20,000 to
Rs.30,000
Rs.30,000 to
Rs.50,000
Rs.50,000 to
Rs.75,000
Rs.75,000 to
Rs.100,000
More than Rs.100,000
Not specify
Sample Base 9,000 1,794 2,397 1,649 1,327 602 351 666 214
Trainee/Fresher 8% 15% 4% 4% 3% 13% 4% 7% 20%
Executive/Operation level
27% 26% 29% 30% 17% 15% 27% 28% 35%
Junior Mgt 19% 14% 30% 22% 12% 9% 11% 16% 13%
Middle Mgt 27% 23% 22% 29% 49% 30% 39% 30% 15%
Senior Mgt 14% 16% 10% 11% 19% 28% 18% 14% 14%
Advisory Staff / Consultant 5% 7% 6% 5% 2% 4% 1% 5% 3%
102
Table 121: Distribution of employees by most expensive vehicle owned
Gender All white collar Scooter Motorcycle Small Car Mid Size Car Premium Car Luxury Car Do not own any vehicle
Sample Base 9,000 965 3,103 1,883 864 105 33 2,047
Male 89% 87% 93% 82% 73% 85% 95% 85%
Female 11% 13% 8% 18% 27% 15% 6% 16%
Table 122: Distribution of employees by most expensive vehicle owned
Age Group All white collar
Scooter Motorcycle Small Car
Mid Size Car
Premium Car
Luxury Car
Do not own any vehicle
Sample Base 9,000 965 3,103 1,883 864 105 33 2,047
Bellow 25 13% 32% 34% 30% 33% 45% 37% 38%
25-35 years 40% 23% 37% 25% 23% 25% 12% 28%
36-45 years 26% 22% 19% 20% 19% 8% 31% 15%
Above 45 years 22% 23% 10% 26% 25% 21% 21% 19%
Table 123: Distribution of employees by most expensive vehicle owned
Education All white collar Scooter Motorcycle Small
Car Mid Size
Car Premium
Car Luxury
Car Do not own any
vehicle
Sample Base 9,000 965 3,103 1,883 864 105 33 2,047
HSC/SSC 32% 49% 36% 30% 31% 45% 52% 51%
Graduate General Stream 35% 26% 31% 27% 22% 16% 26% 26%
Graduate Professional Stream
8% 10% 13% 13% 17% 10% 12% 7%
Post-Graduate General Stream 9% 5% 7% 10% 9% 8% 2% 7%
Post-Graduate Professional Stream 10% 6% 7% 16% 17% 19% 6% 4%
Others 7% 3% 7% 4% 4% 2% 2% 6%
103
Table 124: Distribution of employees by most expensive vehicle owned
Job Function All white collar Scooter Motorcycle Small
Car Mid Size
Car Premium
Car Luxury
Car Do not own any
vehicle
Sample Base 9,000 965 3,103 1,883 864 105 33 2,047
Accounts & Finance 13% 14% 10% 16% 7% 5% 2% 15%
Office Admin & General Mgt
26% 34% 24% 20% 18% 38% 8% 28%
Marketing 25% 22% 28% 29% 31% 22% 76% 18%
IT 9% 7% 9% 9% 14% 9% 0.0% 7%
HR 3% 3% 2% 4% 5% 3% 0.2% 3%
Project Mgt & Operations 20% 20% 20% 19% 23% 21% 3% 21%
Designing / Creative Services 5% 1% 7% 4% 2% 1% 11% 8%
Table 125: Distribution of employees by most expensive vehicle owned
Industry Category All white collar
Scooter Motorcycle Small Car
Mid Size Car
Premium Car
Luxury Car
Do not own any vehicle
Sample Base 9,000 965 3,103 1,883 864 105 33 2,047
Marketing / Comm. Services
5% 10% 3% 3% 6% 6% 1% 6%
Consumer Services 17% 14% 19% 8% 10% 22% 81% 21%
Core Ind. / Ind. Goods & Services
23% 29% 19% 34% 20% 25% 0.8% 19%
Banking & Finance 11% 10% 11% 15% 18% 16% 7% 6%
IT 12% 7% 15% 7% 13% 14% 4% 15%
Consumer Goods 10% 10% 10% 8% 9% 10% 0.5% 13%
Healthcare 7% 4% 9% 8% 5% 3% 0.6% 7%
Others 15% 17% 15% 16% 20% 4% 5% 13%
Table 126: Distribution of employees by most expensive vehicle owned
Hierarchy Level All white collar Scooter Motorcycle Small
Car Mid Size
Car Premium
Car Luxury
Car Do not own any
vehicle
Sample Base 9,000 965 3,103 1,883 864 105 33 2,047
Trainee/Fresher 8% 7% 9% 3% 2% 11% 1% 13%
Executive/Operation level
27% 31% 29% 24% 14% 15% 50% 24%
Junior Mgt 19% 17% 17% 22% 8% 6% 31% 24%
Middle Mgt 27% 19% 29% 35% 37% 34% 14% 22%
Senior Mgt 14% 23% 10% 15% 27% 34% 3% 11%
Advisory Staff / Consultant 5% 4% 7% 2% 11% 0.0% 0.0% 5%
104
Table 127: Distribution of employees by credit card ownership
Gender All white collar Single Card Multiple Cards No Credit Card
Sample Base 9,000 2,371 2,201 4,428
Male 89% 89% 92% 85%
Female 11% 11% 8% 15%
Table 128: Distribution of employees by credit card ownership
Age Group All white collar Single Card Multiple Cards No Credit Card
Sample Base 9,000 2,371 2,201 4,428
Bellow 25 years 13% 18% 5% 42%
25-35 years 40% 29% 30% 29%
36-45 years 26% 24% 33% 15%
Above 45 years 22% 28% 32% 14%
Table 129: Distribution of employees by credit card ownership
Education All white collar Single Card Multiple Cards No Credit Card
Sample Base 9,000 2,371 2,201 4,428
HSC/SSC 32% 32% 20% 46%
Graduate General Stream 35% 31% 34% 25%
Graduate Professional Stream 8% 12% 14% 11%
Post-Graduate General Stream 9% 7% 8% 7%
Post-Graduate Professional Stream 10% 12% 18% 6%
Others 7% 6% 5% 5%
Table 130: Distribution of employees by credit card ownership
Job Function All white collar Single Card Multiple Cards No Credit Card
Sample Base 9,000 2,371 2,201 4,428
Accounts & Finance 13% 12% 14% 13%
Office Admin & General Management 26% 26% 16% 28%
Marketing 25% 26% 30% 24%
IT 9% 9% 8% 8%
Human Resource 3% 3% 3% 3%
Project Management & Operations 20% 19% 24% 19%
Designing / Creative Services 5% 6% 5% 5%
105
Table 131: Distribution of employees by credit card ownership
Industry Category All white collar Single Card Multiple Cards No Credit Card
Sample Base 9,000 2,371 2,201 4,428
Marketing / Comm. Services 5% 8% 4% 4%
Consumer Services 17% 11% 13% 20%
Core Ind. / Ind. Goods & Services 23% 24% 26% 22%
Banking & Finance 11% 15% 16% 8%
IT 12% 12% 11% 12%
Consumer Goods 10% 8% 13% 10%
Healthcare 7% 7% 7% 7%
Others 15% 16% 10% 17%
Table 132: Distribution of employees by credit card ownership
Hierarchy Level All white collar Single Card Multiple Cards No Credit Card
Sample Base 9,000 2,371 2,201 4,428
Trainee/Fresher 8% 6% 2% 11%
Executive/Operation level 27% 32% 17% 27%
Junior Management 19% 15% 20% 21%
Middle Management 27% 27% 37% 24%
Senior Management 14% 17% 17% 11%
Advisory Staff / Consultant 5% 3% 6% 6%
106
Table 133: Distribution of employees by mobile phone ownership
Gender All white collar
Personally own mobile phone
Company provided mobile phone
Both personal and company provided separately
No mobile phone
Sample Base 9,000 6,478 803 1,002 717
Male 89% 89% 89% 91% 80%
Female 11% 11% 11% 9% 21%
Table 134: Distribution of employees by mobile phone ownership
Age Group All white collar
Personally own mobile phone
Company provided mobile phone
Both personal and company provided separately
No mobile phone
Sample Base 9,000 6,478 803 1,002 717
Bellow 25 13% 30% 16% 12% 54%
25-35 years 40% 31% 36% 29% 23%
36-45 years 26% 20% 33% 24% 10%
Above 45 22% 19% 15% 35% 13%
Table 135: Distribution of employees by mobile phone ownership
Education All white collar Personally own mobile phone
Company provided mobile phone
Both personal and company provided separately
No mobile phone
Sample Base 9,000 6,478 803 1,002 717
HSC/SSC 32% 38% 33% 26% 54%
Graduate General Stream
35% 29% 35% 29% 22%
Graduate Professional Stream 8% 12% 11% 13% 10%
Post-Graduate General Stream 9% 8% 5% 11% 5%
Post-Graduate Professional Stream 10% 9% 12% 16% 4%
Others 7% 5% 4% 5% 6%
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Table 136: Distribution of employees by mobile phone ownership
Job Function All white collar
Personally own mobile phone
Company provided mobile phone
Both personal and company provided separately
No mobile phone
Sample Base 9,000 6,478 803 1,002 717
Accounts & Finance 13% 13% 11% 7% 15%
Office Admin & General Management
26% 24% 19% 20% 41%
Marketing 25% 26% 40% 27% 9%
IT 9% 8% 5% 12% 10%
Human Resource 3% 3% 2% 6% 3%
Project Management & Operations 20% 19% 21% 27% 18%
Designing / Creative Services 5% 6% 3% 1% 5%
Table 137: Distribution of employees by mobile phone ownership
Industry Category All white collar
Personally own mobile phone
Company provided mobile phone
Both personal and company provided separately
No mobile phone
Sample Base 9,000 6,478 803 1,002 717
Marketing / Comm. Services
5% 5% 5% 5% 3%
Consumer Services 17% 15% 8% 8% 35%
Core Ind. / Ind. Goods & Services
23% 21% 34% 30% 24%
Banking & Finance 11% 12% 9% 19% 3%
IT 12% 13% 10% 6% 13%
Consumer Goods 10% 9% 18% 12% 11%
Healthcare 7% 7% 6% 10% 4%
Others 15% 17% 11% 11% 7%
Table 138: Distribution of employees by mobile phone ownership
Hierarchy Level All white collar
Personally own mobile phone
Company provided mobile phone
Both personal and company provided separately
No mobile phone
Sample Base 9,000 6,478 803 1,002 717
Trainee/Fresher 8% 9% 5% 1% 9%
Executive/Operation level
27% 29% 21% 18% 20%
Junior Management 19% 19% 16% 10% 29%
Middle Management 27% 25% 32% 40% 27%
Senior Management 14% 13% 23% 25% 11%
Advisory Staff / Consultant 5% 6% 4% 6% 4%
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Index: Charts
Chart 1: Tenure with current company ............................................... 15 Chart 2: Current terms of employment ............................................... 21 Chart 3: Age at first job ................................................................. 23 Chart 4: Total work experience ........................................................ 26 Chart 5: Number of jobs held........................................................... 29 Chart 6: Proportion who moved jobs with a promotion ............................ 32 Chart 7: Tenure with current company ............................................... 38 Chart 8: Distribution of employees by gender ....................................... 43 Chart 9: Distribution of employees by age ........................................... 45 Chart 10: Distribution of employees by city type ................................... 48 Chart 11: Distribution of employees by region....................................... 51 Chart 12: Distribution of employees by marital status ............................. 54 Chart 13: Distribution of employees by socio-economic classification (SEC) ... 62
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Index: Tables
Table 1: Sample sizes achieved in the online survey .................................3 Table 2: Urban population representation of the survey sample data.............4 Table 3: Distribution of employees by gender, by industry verticals ..............8 Table 4: Distribution of employees by city type, by industry verticals .......... 11 Table 5: Current terms of employment by industry verticals ..................... 22 Table 6: Current terms of employment by job function ........................... 22 Table 7: Current terms of employment by hierarchy level ........................ 22 Table 8: Current terms of employment by educational qualification............ 22 Table 9: Current terms of employment by years of experience .................. 22 Table 10: Age at first job, by industry verticals ..................................... 24 Table 11: Age at first job, by job function ........................................... 24 Table 12: Age at first job, by hierarchy level........................................ 24 Table 13: Age at first job, by educational qualification ........................... 25 Table 14: Age at first job, by years of experience .................................. 25 Table 15: Total work experience by industry verticals ............................. 27 Table 16: Total work experience by job function ................................... 27 Table 17: Total work experience by hierarchy level................................ 27 Table 18: Total work experience by educational qualification ................... 28 Table 19: Number of jobs held, by industry verticals .............................. 30 Table 20: Number of jobs held, by job function..................................... 30 Table 21: Number of jobs held, by hierarchy level ................................. 31 Table 22: Number of jobs held, by educational qualification ..................... 31 Table 23: Number of jobs held, by years of experience............................ 31 Table 24: Proportion who moved jobs with a promotion, by industry verticals 33 Table 25: Proportion who moved jobs with a promotion, by job function ...... 33 Table 26: Proportion who moved jobs with a promotion, by educational qualification ............................................................................... 34 Table 27: Proportion who moved jobs with a promotion, by years of experience.............................................................................................. 34
Table 28: Total work experience, by industry verticals ............................ 35 Table 29: Total work experience, by job function .................................. 35 Table 30: Total work experience, by hierarchy level............................... 35 Table 31: Total work experience, by educational qualification .................. 36 Table 32: Average tenure per job...................................................... 37 Table 33: Tenure with current company, by industry verticals ................... 39 Table 34: Tenure with current company, by job function ......................... 39 Table 35: Tenure with current company, by hierarchy level ...................... 39 Table 36: Tenure with current company, by educational qualification.......... 40 Table 37: Tenure with current company, by years of experience ................ 40 Table 38: Current and aspired industry verticals.................................... 40 Table 39: Current and aspired sectors ................................................ 41 Table 40: Current and aspired functions.............................................. 41 Table 41: Current hierarchy level and aspired hierarchy level.................... 41 Table 42: Current hierarchy level and aspired hierarchy level.................... 42 Table 43: Distribution of employees by gender, by industry verticals ........... 44 Table 44: Distribution of employees by gender, by job function ................. 44 Table 45: Distribution of employees by gender, by hierarchy level .............. 44 Table 46: Distribution of employees by gender, by educational qualification.. 44 Table 47: Distribution of employees by gender, by years of experience ........ 44 Table 48: Distribution of employees by age, by industry verticals ............... 46 Table 49: Distribution of employees by age, by job function ..................... 46 Table 50: Distribution of employees by age, by hierarchy level .................. 46 Table 51: Distribution of employees by age, by educational qualification...... 47 Table 52: Distribution of employees by age, by years of experience ............ 47 Table 53: Distribution of employees by city type, by industry verticals......... 49 Table 54: Distribution of employees by city type, by job function............... 49 Table 55: Distribution of employees by city type, by hierarchy level ........... 49 Table 56: Distribution of employees by city type, by educational qualification 50 Table 57: Distribution of employees by city type, by years of experience...... 50
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Table 58: Distribution of employees by region, by industry verticals............ 52 Table 59: Distribution of employees by region, by job function .................. 52 Table 60: Distribution of employees by region, by hierarchy level............... 52 Table 61: Distribution of employees by region, by educational qualification .. 53 Table 62: Distribution of employees by region, by years of experience......... 53 Table 63: Distribution of employees by marital status, by industry verticals .. 55 Table 64: Distribution of employees by marital status, by job function......... 55 Table 65: Distribution of employees by marital status, by hierarchy level ..... 55 Table 66: Distribution of employees by marital status, by educational qualification ............................................................................... 56 Table 67: Distribution of employees by marital status, by years of experience 56 Table 68: Distribution of employees by educational qualification ............... 56 Table 69: Distribution of employees by educational qualification, by industry verticals .................................................................................... 57 Table 70: Distribution of employees by educational qualification, by job function .................................................................................... 57 Table 71: Distribution of employees by educational qualification, by hierarchy level ........................................................................................ 58 Table 72: Distribution of employees by educational qualification, by educational qualification................................................................ 58 Table 73: Distribution of employees by educational qualification, by years of experience................................................................................. 58 Table 74: Distribution of employees by area of educational specialization..... 59 Table 75: Distribution of employees by area of educational specialization, by industry verticals ......................................................................... 59 Table 76: Distribution of employees by area of educational specialization, by job function ............................................................................... 60 Table 77: Distribution of employees by area of educational specialization, by hierarchy level ............................................................................ 60 Table 78: Distribution of employees by area of educational specialization, by educational qualification................................................................ 61 Table 79: Distribution of employees by area of educational specialization, by years of experience ...................................................................... 61 Table 80: Distribution of employees by SEC, by industry verticals ............... 63 Table 81: Distribution of employees by SEC, by job function ..................... 63 Table 82: Distribution of employees by SEC, by educational qualification...... 63 Table 83: Distribution of employees by SEC, by years of experience ............ 63
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Index: Segment wise Detailed Tables
Table 1: Current terms of employment ............................................... 65 Table 2: Current terms of employment ............................................... 65 Table 3: Current terms of employment ............................................... 65 Table 4: Current terms of employment ............................................... 65 Table 5: Current terms of employment ............................................... 66 Table 6: Current terms of employment ............................................... 66 Table 7: Age at first job ................................................................. 67 Table 8: Age at first job ................................................................. 67 Table 9: Age at first job ................................................................. 67 Table 10: Age at first job................................................................ 67 Table 11: Age at first job................................................................ 68 Table 12: Age at first job................................................................ 68 Table 13: Total work experience....................................................... 69 Table 14: Total work experience....................................................... 69 Table 15: Total work experience....................................................... 69 Table 16: Total work experience....................................................... 69 Table 17: Total work experience....................................................... 70 Table 18: Total work experience....................................................... 70 Table 19: Number of jobs held ......................................................... 71 Table 20: Number of jobs held ......................................................... 71 Table 21: Number of jobs held ......................................................... 71 Table 22: Number of jobs held ......................................................... 71 Table 23: Number of jobs held ......................................................... 72 Table 24: Number of jobs held ......................................................... 72 Table 25: Tenure with current company.............................................. 73 Table 26: Tenure with current company.............................................. 73 Table 27: Tenure with current company.............................................. 73 Table 28: Tenure with current company.............................................. 73 Table 29: Tenure with current company.............................................. 74 Table 30: Tenure with current company.............................................. 74 Table 31: Current salary levels and benefits packages ............................. 75 Table 32: Current salary levels and benefits packages ............................. 75 Table 33: Current salary levels and benefits packages ............................. 75 Table 34: Current salary levels and benefits packages ............................. 76 Table 35: Current salary levels and benefits packages ............................. 76 Table 36: Current salary levels and benefits packages ............................. 76 Table 37: Distribution of employees by gender...................................... 77 Table 38: Distribution of employees by gender...................................... 77 Table 39: Distribution of employees by gender...................................... 77 Table 40: Distribution of employees by gender...................................... 77 Table 41: Distribution of employees by gender...................................... 78 Table 42: Distribution of employees by gender...................................... 78 Table 43: Distribution of employees by age.......................................... 79 Table 44: Distribution of employees by age.......................................... 79 Table 45: Distribution of employees by age.......................................... 79 Table 46: Distribution of employees by age.......................................... 79 Table 47: Distribution of employees by age.......................................... 80 Table 48: Distribution of employees by age.......................................... 80 Table 49: Distribution of employees by city.......................................... 81 Table 50: Distribution of employees by city.......................................... 81 Table 51: Distribution of employees by city.......................................... 81 Table 52: Distribution of employees by city.......................................... 81 Table 53: Distribution of employees by city.......................................... 81 Table 54: Distribution of employees by city.......................................... 81 Table 55: Distribution of employees by city.......................................... 81 Table 56: Distribution of employees by city.......................................... 82
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Table 57: Distribution of employees by city.......................................... 82 Table 58: Distribution of employees by city.......................................... 82 Table 59: Distribution of employees by city.......................................... 82 Table 60: Distribution of employees by city.......................................... 83 Table 61: Distribution of employees by city.......................................... 83 Table 62: Distribution of employees by city.......................................... 83 Table 63: Distribution of employees by city.......................................... 84 Table 64: Distribution of employees by city.......................................... 84 Table 65: Distribution of employees by city.......................................... 84 Table 66: Distribution of employees by city.......................................... 84 Table 67: Distribution of employees by city.......................................... 85 Table 68: Distribution of employees by city.......................................... 85 Table 69: Distribution of employees by city.......................................... 85 Table 70: Distribution of employees by city.......................................... 86 Table 71: Distribution of employees by city.......................................... 86 Table 72: Distribution of employees by city.......................................... 86 Table 73: Distribution of employees by city.......................................... 87 Table 74: Distribution of employees by city.......................................... 87 Table 75: Distribution of employees by city.......................................... 87 Table 76: Distribution of employees by city.......................................... 87 Table 77: Distribution of employees by city.......................................... 88 Table 78: Distribution of employees by city.......................................... 88 Table 79: Distribution of employees by city.......................................... 88 Table 80: Distribution of employees by city.......................................... 88 Table 81: Distribution of employees by city.......................................... 89 Table 82: Distribution of employees by city.......................................... 89 Table 83: Distribution of employees by city.......................................... 89 Table 84: Distribution of employees by city.......................................... 90 Table 85: Distribution of employees by city.......................................... 90 Table 86: Distribution of employees by city.......................................... 90 Table 87: Distribution of employees by city.......................................... 90 Table 88: Distribution of employees by city.......................................... 91 Table 89: Distribution of employees by city.......................................... 91 Table 90: Distribution of employees by city.......................................... 91 Table 91: Distribution of employees by city type ................................... 92 Table 92: Distribution of employees by city type ................................... 92 Table 93: Distribution of employees by city type ................................... 92 Table 94: Distribution of employees by city type ................................... 92 Table 95: Distribution of employees by city type ................................... 93 Table 96: Distribution of employees by city type ................................... 93 Table 97: Distribution of employees by region ...................................... 94 Table 98: Distribution of employees by region ...................................... 94 Table 99: Distribution of employees by region ...................................... 94 Table 100: Distribution of employees by region ..................................... 94 Table 101: Distribution of employees by region ..................................... 95 Table 102: Distribution of employees by region ..................................... 95 Table 103: Distribution of employees by marital status............................ 96 Table 104: Distribution of employees by marital status............................ 96 Table 105: Distribution of employees by marital status............................ 96 Table 106: Distribution of employees by marital status............................ 97 Table 107: Distribution of employees by marital status............................ 97 Table 108: Distribution of employees by marital status............................ 97 Table 109: Distribution of employees by socio-economic classification (SEC).. 98 Table 110: Distribution of employees by socio-economic classification (SEC).. 98 Table 111: Distribution of employees by socio-economic classification (SEC).. 98 Table 112: Distribution of employees by socio-economic classification (SEC).. 98 Table 113: Distribution of employees by socio-economic classification (SEC).. 99 Table 114: Distribution of employees by socio-economic classification (SEC).. 99 Table 115: Distribution of employees by monthly household income (MHI).... 100 Table 116: Distribution of employees by monthly household income (MHI).... 100 Table 117: Distribution of employees by monthly household income (MHI).... 100 Table 118: Distribution of employees by monthly household income (MHI).... 101 Table 119: Distribution of employees by monthly household income (MHI).... 101
113
Table 120: Distribution of employees by monthly household income (MHI).... 101 Table 121: Distribution of employees by most expensive vehicle owned ...... 102 Table 122: Distribution of employees by most expensive vehicle owned ...... 102 Table 123: Distribution of employees by most expensive vehicle owned ...... 102 Table 124: Distribution of employees by most expensive vehicle owned ...... 103 Table 125: Distribution of employees by most expensive vehicle owned ...... 103 Table 126: Distribution of employees by most expensive vehicle owned ...... 103 Table 127: Distribution of employees by credit card ownership ................. 104 Table 128: Distribution of employees by credit card ownership ................. 104 Table 129: Distribution of employees by credit card ownership ................. 104 Table 130: Distribution of employees by credit card ownership ................. 104 Table 131: Distribution of employees by credit card ownership ................. 105 Table 132: Distribution of employees by credit card ownership ................. 105 Table 133: Distribution of employees by mobile phone ownership.............. 106 Table 134: Distribution of employees by mobile phone ownership.............. 106 Table 135: Distribution of employees by mobile phone ownership.............. 106 Table 136: Distribution of employees by mobile phone ownership.............. 107 Table 137: Distribution of employees by mobile phone ownership.............. 107 Table 138: Distribution of employees by mobile phone ownership.............. 107
114
115