International Institute of Business Analysis. Salary Survey Report

Transcription

1 International Institute of Business Analysis Salary Survey Report December 15, 2013

2 Introduction International Institute of Business Analysis (IIBA) is the independent, nonprofit, professional association serving the growing field of business analysis. As the global thought leader and voice for the business analysis profession, IIBA is dedicated to the development and maintenance of standards for the practice of business analysis, and for the certification of practitioners. Established in 2003, IIBA celebrated its 10 th anniversary this year, and has over 27,000 members in over 100 countries around the world. The 2013 IIBA Business Analysis (BA) Practitioners Salary Survey is the first salary survey for the BA profession owned and maintained exclusively by International Institute of Business Analysis (IIBA) for the benefit of BA practitioners. It is designed to gather information from all classes of BA practitioners, regardless of experience level or employment arrangement. IIBA has participated in three salary surveys since This white paper presents the findings of the 2013 survey and compares it to data presented in the 2010 BA Salary Survey Report sponsored by ASPE-SDLC, Ravenflow, and IIBA. The 2010 BA Salary Survey Report showed findings in the United States and the Rest of the World while the 2013 report will show overall demographics and then specific information for the top seven responding countries (United States, Canada, Australia, India, United Kingdom, New Zealand, and South Africa). Some comparisons will be made to the 2010 BA Salary Survey Report but it should be noted that the comparisons will not be exact based on the different approach for the 2013 results. The information in this report is presented in two main sections: Demographics and Income Analysis. The demographics are largely presented as all of the respondents with a few breakdowns of the top seven responding countries. The Income Analysis section provides conclusions for each of the top seven responding countries. All income analysis is presented in US dollars. A conversion rate was used as of 10/21/13 for respondents who provided income in a currency other than US dollars. Income analysis will not be provided for respondents outside of those countries. Page 2 International Institute of Business Analysis

3 Demographics The 2013 survey went out to an international audience and responses were received from 62 countries. We received 2,111 responses and were able to analyze data from 2,085 completed responses. Some entries were excluded for data integrity (e.g. salary information not included). The graphics below describe the demographics of all 2,085 responses. Specific income analysis will follow in subsequent sections of this report. Figure 1: Income Survey Responses by Country Just less than 50% of respondents were from the United States; the top countries remaining were Canada (15.8%), Australia (8.6%), India (4.7%), the UK which includes England, Scotland and Wales (4.4%), New Zealand (4.0%), and South Africa (3.5%). Page 3 International Institute of Business Analysis

4 All countries included in the responses were: Argentina Armenia Australia Austria Bangladesh Belarus Belgium Brazil Bulgaria Canada China Colombia Croatia Denmark Egypt Fiji France Germany Ghana Gibraltar Greece Hong Kong India Ireland Italy Jamaica Japan Kuwait Latvia Malaysia Malta Mauritius Mexico Moldova Morocco Netherlands New Zealand Nigeria Norway Pakistan Papua New Guinea Philippines Poland Portugal Puerto Rico Qatar Romania Russia Saudi Arabia Singapore Slovenia South Africa Sri Lanka Sudan Switzerland Turkey United Arab Emirates United Kingdom Ukraine Uruguay United States of America Vietnam Page 4 International Institute of Business Analysis

5 Figure 2: Age of Respondents (in Years) Figure 2 shows the age of all respondents. Age range categories were provided in the survey so the exact age of the respondents is unknown. However, most business analysis professionals are between the ages of 36 and 45. More than 89% of all respondents were between the ages of 26 and 55. This trend is consistent with the findings in the 2010 BA Salary Survey Report. Figure 3: Gender of Respondents IIBA & Selective Confidential

6 Figure 3 shows the gender of respondents. While the gender of respondents varies based on specific country of residence, overall there is a slight majority of male respondents. The table below shows the gender of respondents (in percentages) within the top seven countries. Country Female Male Blank Australia 38.8% 60.1% 1.1% Canada 47.7% 51.1% 1.2% India 16.8% 83.2% 0.0% New Zealand 51.8% 48.2% 0.0% South Africa 52.1% 47.9% 0.0% United Kingdom 31.5% 68.5% 0.0% United States 55.0% 43.6% 1.4% Table 1: Gender of Respondents by Country It is interesting to note that in most countries where male is the majority gender the difference is greater than that of the countries where female is the majority gender. Australia, India, and United Kingdom have significantly more male respondents than female respondents (ranging from 22% to 67%). These findings are consistent with the 2010 BA Salary Survey Report. Page 6 International Institute of Business Analysis

7 Figure 4: Education Attained Figure 4 shows the level of education attained by respondents. A majority of respondents hold a Bachelor of Arts/Bachelor of Science degree. This finding is consistent with the 2010 BA Salary Survey Report. The table below shows the education attained (in percentages) within the top seven countries. Country High School Associate Degree/Some College Bachelor of Arts/ Bachelor of Science Masters Degree/MBA Australia 8.7% 14.8% 48.6% 26.8% 0.5% Canada 3.6% 24.3% 54.7% 16.5% 0.6% India 0.0% 1.1% 35.8% 62.1% 1.1% New Zealand 18.1% 15.7% 53.0% 13.3% 0.0% South Africa 12.3% 26.0% 54.8% 6.8% 0.0% United Kingdom 15.2% 8.7% 50.0% 20.7% 5.4% United States 3.2% 11.7% 53.5% 30.3% 1.0% Table 2: Education Attained by Country In all of the top seven countries, except for India, the majority of respondents hold a Bachelor of Arts/Bachelor of Science degree. In India, the majority of respondents hold a Masters Degree/MBA. PhD Page 7 International Institute of Business Analysis

8 Figure 5: Years of Experience Years of experience varied across respondents in the survey. Figure 5 shows how many years of experience the respondents reported (in percentages). Most people have worked between seven and ten years but it was not a majority of respondents. As the figure shows, there is a fairly wide variety of years worked. Figure 6: Certificates and/or Certifications Held by Respondents Page 8 International Institute of Business Analysis

9 Figure 6 shows the certificates and/or certifications held by the respondents. There were several options available in the survey as well as an Other category. More than half of respondents hold no certificates and/or certifications. Respondents were able to select multiple certificates and/or certifications. Of those that have at least one certificate and/or certification, many hold more than one. Table 3 shows the industries in which the respondents work. The most common industry was Finance and Insurance with Information Technology the next most common industry. Those two industries combined account for almost 50% of all respondents. Industry Percentage of Respondents Aerospace 0.9% Agriculture and Primary Resources 0.7% Business/Professional Consulting Services 6.1% Communications and Publishing 0.9% Construction Industries 0.7% Consumer Products 1.0% Defense 0.4% Energy 4.2% Engineering 0.3% Finance and Insurance 30.3% Government and Public Sector 7.3% Healthcare and Social Services 6.6% Hospitality and Recreation Industries 0.7% Information Technology 19.5% Manufacturing Industries 2.7% Marketing and Sales 0.5% Non Profit Organizations 1.6% Pharmaceutical Industries 1.7% Training/Education 2.4% Transportation and Storage 1.7% Wholesale and Retail Trade 2.8% Did Not Provide Industry 7.1% Table 3: Industry of Respondents Some other interesting facts: The survey was sent to more than 50,000 business analysis professionals with approximately 54% of those professionals being members of IIBA. Of the 2,085 respondents, 1,542 were IIBA members almost 74%. More than 80% of respondents indicated that they work remotely at least part of the time. Only 14% of respondents indicated that their employer expects more than 40 hours per week to earn regular full-time pay. Approximately 60% of respondents indicated an increase in salary during the 2012 calendar year. Page 9 International Institute of Business Analysis

10 Income Analysis The findings below will be reported for each of the top seven responding countries ordered from the most respondents to the least respondents. United States Business analysis professionals reported an average salary of $91,512 in 2012 which is more than double the average US salary (as reported by the Social Security Administration). Figure 7 shows the percentage of respondents in various salary ranges. Years of Experience Figure 7: Percentage of Respondents within Salary Ranges (US) There was a variety of years of experience within the respondents. More than 70% of respondents have between four and fifteen years experience. Figure 8 shows the percentage of respondents in each of the years of experience. Based on the survey responses, years of experience correlate directly to average salary. Figure 9 shows the average salary increase based on years of experience. Page 10 International Institute of Business Analysis

11 Figure 8: Percentage of Respondents with Years of Experience (US) Age Figure 9: Average Salary per Years of Experience (US) Age seems to have a correlation to salary as well. While salary increases as age increases until years old, it then begins to decrease for years old and >65 years. Figure 10 shows this trend. Page 11 International Institute of Business Analysis

12 Highest Level of Education Attained Figure 10: Average Salary per Age Range (US) Figure 11 shows that level of education correlates directly to average salary in the United States. Having some college increases salary by almost 10%. There is little difference between some college and a BA or BS degree. However, a Masters Degree/MBA increases the salary of respondents by almost 10%. Figure 11: Average Salary per Highest Level of Education Attained (US) Page 12 International Institute of Business Analysis

13 Industry Table 4 shows the percentage of US respondents within each industry. Consistent with the overall demographics, Finance and Insurance and Information Technology make up almost 50% of all US respondents. Average salary is also shown for each industry. Hospitality and Recreation Industries show the lowest average salary while Communications and Publishing has the highest average salary. Industry Average Percentage of Salary Respondents Aerospace $94, % Agriculture and Primary Resources $91, % Business/Professional Consulting Services $99, % Communications and Publishing $109, % Construction Industries $90, % Consumer Products $83, % Defense $83, % Energy $103, % Engineering $82, % Finance and Insurance $90, % Government and Public Sector $84, % Healthcare and Social Services $84, % Hospitality and Recreation Industries $81, % Information Technology $95, % Manufacturing Industries $96, % Marketing and Sales $82, % Non Profit Organizations $87, % Pharmaceutical Industries $104, % Training/Education $96, % Transportation and Storage $89, % Wholesale and Retail Trade $90, % Did Not Provide Industry $90, % Table 4: Percentage of US Respondents within Each Industry Gender Bias Unfortunately, there has been little change to the results found in the 2010 Salary Survey. The average salary of female respondents was almost 7% less than male respondents. As shown in Table 1, 55% of the US respondents were female and 44% were male. We analyzed other factors including level of education, years of experience, and age. While with specific respondents, there may be higher female salaries than male salaries, on average male respondents continue to make higher salaries than female respondents. One factor that will need to continue to be analyzed in future surveys is age of respondents. With less than 2% of respondents in the Less than 26 years category, the female respondent average salary is 7% higher than that of male respondents. Given the small number of respondents in the category, it may not prove to be significant but may indicate that the gender bias is reducing or null with the most recent entrants into the profession. Page 13 International Institute of Business Analysis

14 Gender bias was also found within specific industries as well. Considering industries with at least 50 respondents (Finance and Insurance, Government and Public Sector, Healthcare and Social Services, and Information Technology), the survey showed that female respondents were a majority in those industries except for Information Technology. In all the industries analyzed, male respondents earned between 3% and 20% more than female respondents with Government and Public Sector being the largest discrepancy. Table 5 shows the average salary per female, per male, and the percentage difference within each of those industries. Note that the average salary per female below in each of the largest industries is less than the overall salary average for the BA in the United States. Industry Average per Average per Female Male Percentage Finance and Insurance $88,831 $91, % Government and Public Sector $76,235 $95, % Healthcare and Social Services $83,406 $86, % Information Technology $89,558 $101, % Table 5: Average US Salary per Gender within Largest Industries Some overall points of interest within the United States analysis: The average salary increased almost 10% from the 2010 survey from $82,493 to $91,512. This was almost three times the cost of living increase (3.6%) in the same time period. The percentage of male respondents increased from 40.8% in 2010 to 43.6% in this year s survey More than 80% of respondents hold at least a Bachelor of Arts or Bachelor of Science degree Page 14 International Institute of Business Analysis

15 Australia Business analysis professionals reported an average salary of $111,949 in 2012 which is more than thirty percent higher than the average Australian salary (according to the Australian Bureau of Statistics). Figure 12 shows the percentage of respondents in various salary ranges. Years of Experience Figure 12: Percentage of Respondents within Salary Ranges (Australia) There was a variety of years of experience within the respondents. Almost 70% of respondents have between four and fifteen years experience. Figure 13 shows the percentage of respondents in each of the years of experience. Based on the survey responses, years of experience correlate directly to average salary (except for the small dip shown in the years of experience). Figure 14 shows the average salary increase based on years of experience. Page 15 International Institute of Business Analysis

16 Figure 13: Percentage of Respondents with Years of Experience (Australia) Age Figure 14: Average Salary per Years of Experience (Australia) Age seems to have a correlation to salary as well. As with the US respondents while salary increases as age increases until years old, it decreased for years old. There was less than 1% responding in the >65 years category so while the salary increased, it was only a small percentage of respondents and may not be statistically relevant. Figure 15 shows this trend. Page 16 International Institute of Business Analysis

17 Highest Level of Education Attained Figure 15: Average Salary per Age Range (Australia) Figure 16 shows that level of education does not correlate directly to average salary in Australia. While there were a few outliers that increased the average salary within those that have a High School diploma, there were several respondents that made more than the average salary with Some College/Associates Degree. Based on our previous analysis, years of experience and age have stronger correlations to higher salaries in Australia. Figure 16: Average Salary per Highest Level of Education Attained (Australia) Page 17 International Institute of Business Analysis

18 Industry Table 6 shows the percentage of Australian respondents within each industry. Consistent with the overall demographics, Finance and Insurance and Information Technology make up almost 50% of all Australian respondents. Average salary is also shown for each industry. Transportation and Storage show the lowest average salary while Hospitality and Recreation Industries has the highest average salary. Industry Average Salary Percentage of Respondents Aerospace N/A 0.0% Agriculture and Primary Resources N/A 0.0% Business/Professional Consulting Services $124, % Communications and Publishing $102, % Construction Industries $127, % Consumer Products $102, % Defense N/A 0.0% Energy $134, % Engineering N/A 0.0% Finance and Insurance $109, % Government and Public Sector $120, % Healthcare and Social Services $120, % Hospitality and Recreation Industries $133, % Information Technology $112, % Manufacturing Industries $93, % Marketing and Sales N/A 0.0% Non Profit Organizations $96, % Pharmaceutical Industries N/A 0.0% Training/Education $85, % Transportation and Storage $82, % Wholesale and Retail Trade $116, % Did Not Provide Industry $95, % Table 6: Percentage of Australian Respondents within Each Industry Gender Bias As shown in Table 1, 39% of the Australian respondents were female and 60% were male. The average salary of female respondents was 8% less than that of male respondents. We analyzed other factors including level of education, years of experience, and age. While with specific respondents, there may be higher female salaries than male salaries, on average male respondents continue to make higher salaries than female respondents. Page 18 International Institute of Business Analysis

19 Canada Business analysis professionals reported an average salary of $88,985 in Figure 17 shows the percentage of respondents in various salary ranges. Years of Experience Figure 17: Percentage of Respondents within Salary Ranges (Canada) There was a variety of years of experience within the respondents. Over 70% of respondents have between four and fifteen years experience. Figure 18 shows the percentage of respondents in each of the years of experience. Based on the survey responses, years of experience correlate directly to average salary. Figure 19 shows the average salary increase based on years of experience. Page 19 International Institute of Business Analysis

20 Figure 18: Percentage of Respondents with Years of Experience (Canada) Age Figure 19: Average Salary per Years of Experience (Canada) Age seems to have a correlation to salary as well. As with the US respondents while salary increases as age increases until years old, it decreased for Canadian respondents in years range. There were no respondents over the age of 65 within the Canadian respondents. Figure 20 shows this trend. Page 20 International Institute of Business Analysis

21 Highest Level of Education Attained Figure 20: Average Salary per Age Range (Canada) Figure 21 shows that level of education does not correlate directly to average salary in Canada. While there were a few outliers that increased the average salary within those that have a High School diploma, there is little difference in salary between the Some College/Associates Degree, Bachelor of Arts/Bachelor of Science, and Masters Degree/MBA categories. As with Australia, age and years of experience have a stronger indication of salary than level of education. Figure 21: Average Salary per Highest Level of Education Attained (Canada) Page 21 International Institute of Business Analysis

22 Industry Table 7 shows the percentage of Canadian respondents within each industry. Slightly lower than the overall demographics, Finance and Insurance and Information Technology make up just over 40% of all Canadian respondents. Average salary is also shown for each industry. Consumer Products show the lowest average salary while Construction Industries has the highest average salary. Industry Average Salary Percentage of Respondents Aerospace $82, % Agriculture and Primary Resources $68, % Business/Professional Consulting Services $103, % Communications and Publishing $64, % Construction Industries $121, % Consumer Products $51, % Defense $0 0.0% Energy $107, % Engineering $112, % Finance and Insurance $82, % Government and Public Sector $89, % Healthcare and Social Services $79, % Hospitality and Recreation Industries $0 0.0% Information Technology $89, % Manufacturing Industries $91, % Marketing and Sales $53, % Non Profit Organizations $74, % Pharmaceutical Industries $0 0.0% Training/Education $77, % Transportation and Storage $77, % Wholesale and Retail Trade $67, % Did Not Provide Industry $86, % Table 7: Percentage of Canadian Respondents within Each Industry Gender Bias As shown in Table 1, 48% of the Canadian respondents were female and 51% were male. The average salary of female respondents was 7% less than that of male respondents. We analyzed other factors including level of education, years of experience, and age. While with specific respondents, there may be higher female salaries than male salaries, on average male respondents continue to make higher salaries than female respondents. Page 22 International Institute of Business Analysis

23 India Business analysis professionals reported an average salary of $18,086 in Figure 22 shows the percentage of respondents in various salary ranges. Years of Experience Figure 22: Percentage of Respondents within Salary Ranges (India) There was a variety of years of experience within the respondents. Over 90% of respondents have between four and fifteen years experience. Figure 23 shows the percentage of respondents in each of the years of experience. Based on the survey responses, years of experience correlate directly to average salary. Figure 24 shows the average salary increase based on years of experience. Page 23 International Institute of Business Analysis

24 Figure 23: Percentage of Respondents with Years of Experience (India) Age Figure 24: Average Salary per Years of Experience (India) All respondents were within the first three categories (Under 26 years, years, and years). Salary correlates directly to age within the respondents. Figure 25 shows this trend. Page 24 International Institute of Business Analysis

25 Highest Level of Education Attained Figure 25: Average Salary per Age Range (India) Almost 98% of respondents from India have either a Bachelor of Arts/Bachelor of Science degree or a Masters Degree/MBA. Average salary increased 3% with a Masters Degree/MBA. Industry Almost 90% of respondents from India work within Finance and Insurance or the Information Technology industries. Gender Bias As shown in Table 1, 17% of the Indian respondents were female and 83% were male. The average salary of female respondents was 36% less than that of male respondents. India represents the greatest majority gender as well as the largest salary discrepancy between male and female respondents. All female respondents have either a Bachelor of Arts/Bachelor of Science degree or a Masters Degree/MBA. On average, the male respondents were slightly more experienced than the female respondents. But when examining the years of experience categories, female respondent salaries were still significantly less than those of male respondents. Page 25 International Institute of Business Analysis

26 New Zealand Business analysis professionals reported an average salary of $85,059 in Figure 26 shows the percentage of respondents in various salary ranges. Years of Experience Figure 26: Percentage of Respondents within Salary Ranges (New Zealand) There was a variety of years of experience within the respondents. New Zealand respondents had the most balance amongst years of experience within the analyzed countries. Figure 27 shows the percentage of respondents in each of the years of experience. Based on the survey responses, years of experience correlate directly to average salary. There is a slight dip between 4 6 years and 7 10 years. Figure 28 shows the average salary increase based on years of experience. Page 26 International Institute of Business Analysis

27 Figure 27: Percentage of Respondents with Years of Experience (New Zealand) Age Figure 28: Average Salary per Years of Experience (New Zealand) Most respondents were between 26 and 55 years of age. While salary seems to increase within the initial categories, it does not appear to be as directly related as in other countries. Other factors such as education, years of experience, and industry do not appear to be the specific reason for the difference in trend. It may be that there were insufficient respondents to demonstrate the actual trend within New Zealand. Figure 29 shows the results. Page 27 International Institute of Business Analysis

28 Highest Level of Education Attained Figure 29: Average Salary per Age Range (New Zealand) Over 50% of respondents from New Zealand have a Bachelor of Arts/Bachelor of Science. There was very little difference in salary within the various levels of education. Industry Almost 75% of respondents fell within three industries: Finance and Insurance, Government and Public Sector, and Information Technology. Gender Bias As shown in Table 1, 52% of the New Zealand respondents were female and 48% were male. The average salary of female respondents was 9% less than that of male respondents. We analyzed other factors including level of education, years of experience, and age. While with specific respondents, there may be higher female salaries than male salaries, on average male respondents continue to make higher salaries than female respondents. Page 28 International Institute of Business Analysis

29 South Africa Business analysis professionals reported an average salary of $57,893 in Figure 30 shows the percentage of respondents in various salary ranges. Years of Experience Figure 30: Percentage of Respondents within Salary Ranges (South Africa) There was a variety of years of experience within the respondents. South Africa respondents had some balance amongst categories of experience with the most being between 7 10 years. Figure 31 shows the percentage of respondents in each of the years of experience. Based on the survey responses, years of experience correlate directly to average salary. Figure 32 shows the average salary increase based on years of experience. Page 29 International Institute of Business Analysis

30 Figure 31: Percentage of Respondents with Years of Experience (South Africa) Age Figure 32: Average Salary per Years of Experience (South Africa) Most respondents were between 26 and 45 years of age. Salary correlates directly to age within the respondents. Figure 33 shows this trend. Page 30 International Institute of Business Analysis

31 Highest Level of Education Attained Figure 33: Average Salary per Age Range (South Africa) Over 50% of respondents from South Africa have a Bachelor of Arts/Bachelor of Science. While there was little correlation between salary increase and High School and Some College/Associates Degree, there was a 12% increase in salary for those respondents with a Bachelor of Arts/Bachelor of Science degree. Industry Over 63% of respondents fell within two industries: Finance and Insurance and Information Technology. More than 10% of respondents did not provide an industry within which he/she works. Gender Bias As shown in Table 1, 52% of the South Africa respondents were female and 48% were male. The average salary of female respondents was 5% less than that of male respondents. Unlike any other country, there were some categories within age (36 45), years of experience (1 3 years), and education (Some College/Associates Degree) in which the female respondents earn a higher average salary than the male respondents. Page 31 International Institute of Business Analysis

32 United Kingdom Business analysis professionals reported an average salary of $88,745 in Figure 34 shows the percentage of respondents in various salary ranges. Years of Experience Figure 34: Percentage of Respondents within Salary Ranges (United Kingdom) There was a variety of years of experience within the respondents. United Kingdom respondents had some balance amongst categories of experience with the most being between 7 10 years. Figure 35 shows the percentage of respondents in each of the years of experience. Based on the survey responses, years of experience correlate directly to average salary with the exception of the decrease within the More Than 15 Years category. Further analysis of that category does not indicate any specific variable that contributed to the decrease. Figure 36 shows the average salary increase based on years of experience. Page 32 International Institute of Business Analysis

33 Figure 35: Percentage of Respondents with Years of Experience (United Kingdom) Age Figure 36: Average Salary per Years of Experience (United Kingdom) More than 90% of respondents were between 26 and 55 years of age. Salary appears to correlate to age within the respondents except for the significant increase in the years category. Further examination of that data indicates that it may be the work in Finance and Insurance industry. More than 50% of respondents in the years category work within the Finance and Insurance Industry. Page 33 International Institute of Business Analysis

34 The average salary of that age group within the industry was 27% higher than the overall average. Figure 37 shows the overall salary trend per age category. Highest Level of Education Attained Figure 37: Average Salary per Age Range (United Kingdom) Over 76% of respondents from the United Kingdom have more than High School and Some College/Associates Degree. Similar to the age category, industry seems to have a greater impact on salary rather than level of education attained. Industry Over 50% of respondents fell within two industries: Finance and Insurance and Information Technology. Business/Professional Consulting Services was the next most reported industry with just under 9%. Gender Bias As shown in Table 1, 31% of the United Kingdom respondents were female and 69% were male. The average salary of female respondents was 5% less than that of male respondents. Unlike any other country, there were some categories within age (26 25, 36 45, and 46 55), years of experience (1 3 years, 4 6 years, and More Than 15 Years), and education (Some College/Associates Degree, Bachelor of Arts/Bachelor of Science) in which the female respondents earn a higher average salary than the male respondents. Similar to the previous categories, industry seems to have a greater impact on salary rather than other factors. Page 34 International Institute of Business Analysis

35 Conclusion The 2013 Income Survey Report included respondents from more than 60 countries worldwide. Seven countries included more than 50 respondents and additional income analysis was performed on those countries. There were several overall trends found throughout the countries: Years of experience had a strong correlation to income levels income increased as years of experience increased. Education also had a correlation to income levels but varied based on country. Age had a strong correlation to income levels income increased as age increased until years and above. Certification holders seem to receive higher levels of income on average but more than half of the respondents did not indicate any response to this question so detailed income analysis was not performed based on certification. Male respondents generally earn more than female respondents with few exceptions. This trend should continue to be followed there was some slight indication that the gender bias may be reducing in the newest entrants to the field, especially in the United States. Average salary has increased from the last salary survey and in some countries at a higher rate than the cost of living increase. The Finance and Insurance industry was the most popular industry in which respondents are working, followed by Information Technology. We have discovered several factors that may have an impact on your salary including years of experience, education, age, and industry. Having this knowledge can support career planning for the coming year. Page 35 International Institute of Business Analysis