FILE - In this Aug. 5, 2015 file photo, a forest grows back beneath a few uncut white pines several years after it was logged near Soubunge Mountain in northern Maine. In a study of suicide rates by occupation,... (Associated Press) 
 
 FILE - In this Aug. 5, 2015 file photo, a forest grows back beneath a few uncut white pines several years after it was logged near Soubunge Mountain in northern Maine. In a study of suicide rates by occupation,... (Associated Press) 
 
 NEW YORK (AP) — Farmers, lumberjacks and fishermen have the highest suicide rate in the U.S., while librarians and educators have the lowest, according to a large study that found enormous differences across occupations. 
 
 The study didn't explore the reasons behind the differences, but researchers found the highest suicide rates in manual laborers who work in isolation and face unsteady employment. High rates were also seen in carpenters, miners, electricians and people who work in construction. Mechanics were close behind. 
 
 Dentists, doctors and other health care professionals had an 80 percent lower suicide rate than the farmers, fishermen and lumberjacks. 
 
 Thursday's report from the Centers for Disease Control and Prevention is perhaps the largest U.S. study to compare suicide rates among occupations. But it is not comprehensive. It only covers 17 states, looking at about 12,300 of the more than 40,000 suicide deaths reported in the entire nation in 2012. 
 
 Because of the limited data, they could only calculate suicide rates for broad occupation categories, but not for specific jobs. The categories, which sometimes seem to group professions that have little to do with each other, like athletes and artists, are based on federal classifications used for collecting jobs-related data. 
 
 So it's not clear what the suicide rate is just for farmers. Or for mathematicians. Or journalists. 
 
 Suicide is the nation's 10th leading cause of death. Public attention often focuses on teens and college students, but the highest numbers and rates are in middle-aged adults. Suicide is far more common in males, and the rankings largely reflect the male suicide rates for each group. 
 
 The highest female suicide rate was seen in the category that includes police, firefighters and corrections officers. The second highest rate for women was in the legal profession. 
 
 It's not the first time a suicide problem has been noted for some of the jobs. In the 1980s, media reports detailed high suicide rates in Midwestern farmers. That was attributed to a tough economy and farmers use of pesticides that scientists have theorized may cause symptoms of depression. 
 
 The CDC's occupational suicide list: 
 
 1. Farmworkers, fishermen, lumberjacks, others in forestry or agriculture; 85 per 100,000. 
 
 2. Carpenters, miners, electricians, construction trades; 53. 
 
 3. Mechanics and those who do installation, maintenance, repair; 48. 
 
 4. Factory and production workers; 35. 
 
 5. Architects, engineers; 32 
 
 6. Police, firefighters, corrections workers, others in protective services; 31. 
 
 7. Artists, designers, entertainers, athletes, media; 24. 
 
 8. Computer programmers, mathematicians, statisticians; 23. 
 
 9. Transportation workers; 22 
 
 10. Corporate executives and managers, advertising and public relations; 20 
 
 11. Lawyers and workers in legal system; 19 
 
 12. Doctors, dentists, and other health care professionals; 19 
 
 13. Scientists and lab technicians; 17 
 
 14. Accountants, others in business, financial operations; 16 
 
 15. Nursing, medical assistants, health care support; 15 
 
 16. Clergy, social workers, other social service workers; 14 
 
 17. Real estate agents, telemarketers, sales; 13 
 
 18. Building and ground, cleaning, maintenance; 13 
 
 19. Cooks, food service workers; 13 
 
 20. Childcare workers, barbers, animal trainers, personal care and service; 8 
 
 21. Office workers, administrative support; 8 
 
 22. Education, training, librarians; 8 
 
 ___ 
 
 Online: 
 
 CDC report: http://www.cdc.gov/mmwr ||||| Analysis of 2012 National Violent Death Reporting System data from 17 states indicated that workers in the farming, fishing, and forestry occupational group had the highest rate of suicide (84.5 per 100,000), followed by workers in construction and extraction (53.3), and installation, maintenance, and repair (47.9). Among males, farming, fishing, and forestry also accounted for the highest rates of suicide (90.5 per 100,000), whereas the highest rate among females (14.1) was among workers in the protective service occupational group. 
 
 In 2012, suicide was the 10th leading cause of death among persons aged ≥16 years in the United States, with approximately 40,000 suicide deaths reported among persons aged ≥16 years. From 2000 to 2012, rates of suicide for persons aged ≥16 years increased 21.1%, from 13.3 per 100,000 to 16.1. Understanding suicides by occupational group provides an opportunity for prevention, but such data have not been reported recently for a broad population or examined by sex and occupation classification. 
 
 In 2012, approximately 40,000 suicides were reported in the United States, making suicide the 10th leading reported cause of death for persons aged ≥16 years (1). From 2000 to 2012, rates of suicide among persons in this age group increased 21.1%, from 13.3 per 100,000 to 16.1 (1). To inform suicide prevention efforts, CDC analyzed suicide by occupational group, by ascribing occupational codes to 12,312 suicides in 17 states in 2012 from the National Violent Death Reporting System (NVDRS) (2). The frequency of suicide in different occupational groups was examined, and rates of suicide were calculated by sex and age group for these categories. Persons working in the farming, fishing, and forestry group had the highest rate of suicide overall (84.5 per 100,000 population) and among males (90.5); the highest rates of suicide among females occurred among those working in protective service occupations (14.1). Overall, the lowest rate of suicide (7.5) was found in the education, training, and library occupational group. Suicide prevention approaches directed toward persons aged ≥16 years that enhance social support, community connectedness, access to preventive services, and the reduction of stigma and barriers to help-seeking are needed. 
 
 CDC’s National Violent Death Reporting System (NVDRS) collects information on violent deaths, including suicides, from multiple sources, including death certificates, coroner and medical examiner reports, and law enforcement reports, to monitor trends, understand violent death characteristics and risk factors, and inform prevention efforts (2). The most recent NVDRS data set available for analysis (2012) includes data from 17 states.* 
 
 NVDRS Occupation Title and Industry Title fields were used to assign each suicide decedent to one of the major occupational groups defined by the national Standard Occupational Classification (SOC) system (3). The decedent’s usual occupation at the time of death was coded, and each decedent was assigned to only one occupational group. Additional codes for decedents who were classified as homemakers/housewives, students, never worked/disabled (and not working), retired, prisoners, unemployed, and self-employed (unspecified industry) were created by the authors. 
 
 Decedents were assigned to SOC codes using three steps. First, the National Institute for Occupational Safety and Health’s Industry and Occupation Computerized Coding System (NIOCCS) (4) was applied to the 12,312 suicides in the data set, resulting in SOC codes for 5,532 (44.9%) decedents (Figure). NIOCCS matched the industry and occupation text fields to U.S. Census Industry and Occupation codes†; these were mapped to detailed SOC codes, which the authors collapsed into major SOC occupational groups. Next, a computer algorithm (developed based on a review of cases for which a SOC code was not provided by NIOCCS) was used to produce codes for an additional 4,572 (37.1%) decedents.§ Finally, manual coding by the authors was used for the remaining 2,208 (17.9%) decedents (Figure). For 729 (5.9%) decedents, the occupation fields were blank or lacked sufficient information; these were coded as “unknown.” Interrater reliability was assessed for a random 5% sample (635 decedents) of the data set, with resulting Cohen’s kappa coefficient of 0.87 (554 decedents); the remaining 81 decedents not in agreement were resolved through discussions among the authors. 
 
 Descriptive data were analyzed, including the number of suicides and rates of suicide by occupational group. Occupational groups were stratified by sex, and rates of suicide were calculated for each group using denominators derived from the U.S. Census Bureau’s Current Population Survey March Supplement (5), which includes a question about the person’s primary occupation during the previous calendar year. Rates were not calculated for occupation codes created by the authors, because the Current Population Survey data set does not provide denominator data for these groups. U.S. child labor laws prohibit persons aged <16 years from working full-time; therefore, only decedents aged ≥16 years were included. SOC code 55 (i.e., military specific occupations) was not included in the analysis because it was not possible to reliably determine whether these decedents were on active duty or retired, or what occupation they held in the military. If a decedent had a specific coded job and was employed by the military, that decedent was coded according to the occupation (e.g., an engineer working for the military would be included in the “Architecture and engineering” occupational group). 
 
 Among the 12,312 suicide decedents included in the 2012 data set, 9,509 (77.2%) were male, and 2,801 (22.8%) were female; information about sex was missing for two decedents (Table 1). Decedents ranged in age from 16 to 102 years; however, 84.5% were aged 16–64 years. Nearly one third of all suicides occurred among persons in the following four occupational groups: construction and extraction (1,324; 10.8%); management (1,049; 8.5%); production (953; 7.7%); and installation, maintenance, and repair (780; 6.3%) (Table 1). The highest proportion (22.7%) of suicides occurred among persons aged 45–54 years, and the lowest proportion (11.6%) occurred among persons aged 16–24 years (Table 1). 
 
 Rates of suicide were highest in the following three occupational groups: farming, fishing, and forestry (84.5 suicides per 100,000 persons); construction and extraction (53.3); and installation, maintenance, and repair (47.9) (Table 2). Rates of suicide varied by sex, with higher rates among males than females in all occupational groups (Table 2). Among males, the highest suicide rates were among persons in the following three occupational groups: farming, fishing, and forestry (90.5 per 100,000); construction and extraction (52.5); and installation, maintenance, and repair (47.5). Among females, the highest suicide rates occurred among persons in the following three occupational groups: protective service occupations (e.g., law enforcement officers and firefighters) (14.1 per 100,000); legal (13.9); and healthcare practitioners and technical (13.3) (Table 2). ||||| 25 SHARES 
 
 The American narrative is a story of diversity. Our history tells of many different peoples coming together from every walk of life to form what is today a complex tapestry of backgrounds. 
 
 And our story will continue to advance that narrative in the decades to come. The U.S. Census Bureau predicts that by 2044 the U.S. will no longer have a single ethnic majority, currently non-Hispanic whites, and will grow increasingly more diverse in the years to follow. 
 
 But U.S. diversity spans more than just racial lines. In many states, the population reflects a mix of not just races and ethnicities but also cultures, religions, economic statuses, educational backgrounds and other characteristics. These groups come together in everyday life, influencing and experiencing one another. However, some elements of society aren’t as diverse as others. For example, there are only 24 women among the CEOs of fortune 500 companies, and around 73% of those companies’ senior executives are white. 
 
 Some U.S. states promote diversity more than others. In order to determine where idea and identity exchanges have occurred at the highest level — and where the population is relatively more homogeneous — WalletHub compared the 50 states across six key diversity categories. For a more local perspective on America’s ever-expanding diversity, we also conducted our analysis at the city level. Read on for our findings, expert commentary from a panel of researchers and a full description of our methodology. 
 
 Main Findings 
 
 Most & Least Diverse States in the U.S. 
 
 Overall Rank 
 
 (1 = Most Diverse) State Total Score ‘Socioeconomic Diversity’ Rank ‘Cultural Diversity’ Rank ‘Economic Diversity’ Rank ‘Household Diversity’ Rank ‘Religious Diversity’ Rank ‘Political Diversity’ Rank 1 California 70.89 3 1 11 5 32 6 2 Texas 70.00 13 4 13 14 6 28 3 Hawaii 69.69 15 3 4 13 34 11 4 New Jersey 69.38 5 7 39 26 19 12 5 New York 69.21 8 8 37 6 21 2 6 New Mexico 69.13 34 5 5 4 22 22 7 Maryland 68.64 1 10 26 10 30 9 8 Florida 68.18 29 6 34 7 38 3 9 Nevada 68.00 27 2 44 2 45 32 10 Illinois 67.93 11 12 38 23 7 4 11 Arizona 67.81 23 9 25 8 41 21 12 Virginia 67.71 4 14 16 33 25 16 13 Georgia 67.45 20 13 18 9 16 26 14 Connecticut 67.08 6 15 45 27 27 9 15 Alaska 66.49 19 11 1 30 44 47 16 Delaware 66.46 14 17 40 15 35 1 17 Colorado 66.25 7 18 28 36 40 13 18 Washington 66.02 10 16 12 35 43 15 19 Massachusetts 65.88 2 19 50 22 33 39 20 North Carolina 65.82 26 20 29 20 26 24 21 Rhode Island 65.67 12 21 49 11 36 5 22 Oklahoma 65.46 42 22 6 19 18 37 23 Louisiana 65.25 45 25 14 3 3 46 24 South Carolina 65.20 37 23 20 12 14 38 25 Kansas 64.92 21 27 24 40 11 8 26 Nebraska 64.24 25 33 22 42 4 19 27 Alabama 64.04 46 28 17 16 12 43 28 Minnesota 63.95 16 36 43 43 5 20 29 Mississippi 63.93 49 26 10 1 14 49 30 Pennsylvania 63.87 24 32 48 32 10 17 31 Oregon 63.81 22 24 21 29 48 28 32 Tennessee 63.73 41 31 23 18 20 41 33 Arkansas 63.43 48 29 15 25 24 35 34 Idaho 63.15 43 35 8 48 13 47 35 South Dakota 63.13 36 42 9 44 2 34 36 North Dakota 62.84 28 44 7 49 1 23 37 Michigan 62.84 32 34 47 24 31 7 38 Missouri 62.83 31 39 35 30 17 24 39 Wisconsin 62.74 30 40 41 39 9 31 40 Indiana 62.57 39 37 46 28 29 13 41 Wyoming 62.49 33 38 2 47 37 42 42 Ohio 62.14 38 41 42 17 28 28 43 Utah 61.91 18 30 30 50 49 50 44 Iowa 61.88 35 46 31 45 8 35 45 Kentucky 61.54 47 45 27 21 23 18 46 Montana 60.95 44 43 3 46 39 45 47 New Hampshire 60.78 9 47 36 41 46 26 48 Vermont 59.78 17 48 33 38 47 40 49 Maine 58.40 40 49 32 37 50 33 50 West Virginia 58.29 50 50 19 34 42 44 
 
 Detailed Findings 
 
 State ‘Household-Income Diversity’ Rank ‘Educational-Attainment Diversity’ Rank ‘Racial & Ethnic Diversity’ Rank ‘Linguistic Diversity’ Rank ‘Birthplace Diversity’ Rank ‘Industry Diversity’ Rank ‘Occupational Diversity’ Rank ‘Worker-Class Diversity’ Rank ‘Marital-Status Diversity’ Rank ‘Generational Diversity’ Rank ‘Household-Type Diversity’ Rank ‘Household-Size Diversity’ Rank ‘Religious Diversity’ Rank ‘Political Diversity’ Rank Alabama 47 29 22 47 43 22 10 22 6 14 10 47 47 43 Alaska 1 44 13 17 4 17 22 1 35 49 30 4 4 47 Arizona 30 18 11 8 3 13 33 28 15 4 13 11 11 21 Arkansas 48 43 26 37 29 31 3 16 11 5 24 44 44 35 California 14 2 2 1 23 3 36 17 31 45 11 2 2 6 Colorado 8 8 24 16 5 4 45 33 39 47 36 10 10 14 Connecticut 5 7 21 12 19 44 47 35 30 11 25 19 19 9 Delaware 13 19 16 22 9 35 40 41 18 7 14 22 22 1 Florida 37 22 9 7 2 16 31 37 3 1 12 42 42 3 Georgia 31 12 10 21 16 5 28 27 14 44 7 14 14 27 Hawaii 3 26 1 9 14 19 30 4 38 2 33 3 3 11 Idaho 38 45 41 28 13 7 9 12 49 32 49 16 16 47 Illinois 16 11 12 11 38 24 35 47 32 30 21 15 15 4 Indiana 33 41 35 32 39 42 5 50 24 29 26 23 23 13 Iowa 25 48 45 35 44 32 13 32 45 8 45 39 39 35 Kansas 27 21 30 23 25 27 29 19 42 26 39 27 27 8 Kentucky 46 33 43 46 41 30 7 34 10 20 20 37 37 18 Louisiana 45 30 15 33 50 10 6 26 2 43 2 30 30 46 Maine 35 39 50 42 35 47 21 15 26 21 38 48 48 33 Maryland 2 4 5 15 8 37 49 6 25 35 9 8 8 9 Massachusetts 12 1 25 10 30 50 50 38 29 42 23 13 13 39 Michigan 32 36 29 30 49 43 18 48 23 23 19 29 29 7 Minnesota 10 23 38 24 40 34 41 43 48 25 43 20 20 20 Mississippi 50 34 18 49 46 29 2 10 1 27 1 31 31 49 Missouri 36 32 36 43 37 28 24 40 19 12 28 32 32 24 Montana 40 42 46 48 18 9 25 3 34 15 44 49 49 45 Nebraska 23 31 37 26 32 12 23 25 46 28 41 24 24 19 Nevada 26 35 4 6 1 46 15 45 4 33 5 7 7 32 New Hampshire 4 17 47 34 15 36 43 31 41 40 48 21 21 26 New Jersey 7 5 7 4 17 25 46 39 37 9 29 6 6 12 New Mexico 44 16 8 2 12 33 26 2 5 17 4 25 25 22 New York 18 3 6 5 33 45 44 21 21 36 3 9 9 2 North Carolina 39 14 17 25 21 26 27 29 17 16 16 33 33 24 North Dakota 15 47 44 44 34 11 11 8 47 46 46 40 40 23 Ohio 34 38 34 40 48 38 20 46 13 13 15 38 38 28 Oklahoma 41 37 19 29 27 2 8 13 16 31 22 26 26 37 Oregon 28 20 31 19 10 18 34 20 20 19 34 18 18 28 Pennsylvania 22 25 32 27 47 39 32 49 22 6 27 34 34 17 Rhode Island 19 9 27 13 24 49 38 44 8 38 6 28 28 5 South Carolina 42 24 20 38 22 20 12 24 7 10 8 46 46 38 South Dakota 29 46 40 41 36 14 16 9 44 24 40 45 45 34 Tennessee 43 27 28 39 28 23 14 23 12 22 18 35 35 41 Texas 21 10 3 3 26 1 19 30 28 48 17 5 5 30 Utah 11 28 33 20 31 8 37 36 50 50 50 1 1 50 Vermont 20 13 49 45 20 48 42 11 27 39 42 43 43 40 Virginia 6 6 14 18 11 21 48 7 33 34 32 17 17 16 Washington 9 15 23 14 7 6 39 18 36 41 37 12 12 15 West Virginia 49 49 48 50 42 40 4 14 9 3 31 50 50 44 Wisconsin 24 40 39 31 45 41 17 42 40 18 35 36 36 31 Wyoming 17 50 42 36 6 15 1 5 43 37 47 41 41 42 
 
 Ask the Experts 
 
 Diversity can have profound effects on communities. For insight on such outcomes and advice on achieving social integration, we asked a panel of experts to share their thoughts on the following key questions: 
 
 What are the pros and cons of living in a diverse state? What impact does diversity have on social innovation and social cohesion? What about violence and social unrest? What can policymakers do to encourage integration across neighborhoods? How can states take advantage of their diversity in order to increase economic growth? 
 
 Methodology 
 
 In order to determine the most and least diverse states in America, WalletHub compared the 50 states across six key dimensions: 1) Socio-economic Diversity, 2) Cultural Diversity, 3) Economic Diversity, 4) Household Diversity, 5) Religious Diversity and 6) Political Diversity. 
 
 We evaluated those dimensions using 14 relevant metrics, which are listed below with their corresponding weights and subcomponents. Each metric was graded on a 100-point scale. 
 
 Finally, we determined each state’s weighted average across all metrics to calculate its overall score and used the resulting scores to rank-order the states. A total score of 100 represents the most diverse state. 
 
 We conducted our analysis using the Herfindahl-Hirschman Index method, which is a commonly accepted measure of market concentration that also works effectively as a general-purpose measure of diversity (e.g., race/ethnicity, occupations, languages, nationalities). 
 
 Socioeconomic Diversity - Total Points: 20 Household-Income Diversity: Weight - Double Weight (~13.33 Points) $34,999 or Less 
 
 $35,000 - $49,999 
 
 $50,000 - $74,999 
 
 $75,000 - $99,999 
 
 $100,000 - $149,999 
 
 $150,000 or more Educational-Attainment Diversity: Weight - Full Weight (~6.67 Points) No high school diploma 
 
 High school diploma and perhaps some college or an associate’s degree 
 
 Bachelor’s degree 
 
 Graduate or professional degree Cultural Diversity - Total Points: 20 Racial & Ethnic Diversity: Weight - Triple Weight (~10.00 Points) Hispanic or Latino 
 
 White (not Hispanic or Latino) 
 
 Black or African American (not Hispanic or Latino) 
 
 Asian (not Hispanic or Latino) 
 
 Other (American Indian and Alaska Native, Native Hawaiian and other Pacific Islander, some other race alone, two or more races and not Hispanic or Latino) Linguistic Diversity: Weight - Double Weight (~6.67 Points) English 
 
 Spanish 
 
 Other Indo-European Languages 
 
 Asian & Pacific-Islander Languages 
 
 Other Languages Birthplace Diversity: Weight - Full Weight (~3.33 Points) In State of Residence 
 
 Northeast Region 
 
 Midwest Region 
 
 South Region 
 
 West Region 
 
 U.S. Territory & Abroad (if born to American parent(s)) 
 
 Foreign Nation Economic Diversity - Total Points: 20 Industry Diversity: Weight - Triple Weight (~12.00 Points) 
 
 Note: Considers the civilian employed population aged 16 and older Agriculture, Forestry, Fishing and Hunting, and Mining 
 
 Construction 
 
 Manufacturing 
 
 Wholesale Trade 
 
 Retail Trade 
 
 Transportation and Warehousing, and Utilities 
 
 Information 
 
 Finance and Insurance, and Real Estate and Rental and Leasing 
 
 Professional, Scientific, and Management, and Administrative and Waste-Management Services 
 
 Educational Services, and Health Care and Social Assistance 
 
 Arts, Entertainment, and Recreation, and Accommodation and Food Services 
 
 Other Services (excluding Public Administration) 
 
 Public Administration Occupational Diversity: Weight - Full Weight (~4.00 Points) 
 
 Note: Considers the civilian employed population aged 16 and older Management, Business, Science, and Arts Occupations 
 
 Service Occupations 
 
 Sales and Office Occupations 
 
 Natural-Resources, Construction, and Maintenance Occupations 
 
 Production, Transportation, and Material-Moving Occupations Worker-Class Diversity: Weight - Full Weight (~4.00 Points) 
 
 Note: Considers the civilian employed population aged 16 and older Private Wage and Salary Workers 
 
 Government Workers 
 
 Self-Employed Workers (operating their own, unincorporated businesses) 
 
 Note: Includes “people who worked for profit or fees in their own unincorporated business, professional practice, or trade or who operated a farm,” according to the U.S. Census Bureau. 
 
 Unpaid Family Workers Household Diversity - Total Points: 20 Marital-Status Diversity: Weight - Full Weight (~5.00 Points) Never Married 
 
 Married (excluding separated) 
 
 Divorced 
 
 Separated 
 
 Widowed Generational Diversity: Weight - Full Weight (~5.00 Points) Post-Millennials (Generation Z): born after 2000 
 
 Millennials: Ages 16 to 35 (born 1981-2000) 
 
 Generation X: Ages 36 to 51 (born 1965-1980) 
 
 Baby Boomers: Ages 52 to 70 (born 1946-1964) 
 
 Silent Generation & Greatest Generation: Ages 71 & Older (born before 1946) Household-Type Diversity: Weight - Full Weight (~5.00 Points) Family Households with Married Couples 
 
 Male-Headed Family Households (no spouse present) 
 
 Female-Headed Family Households (no spouse present) 
 
 Nonfamily Households Household-Size Diversity: Weight - Full Weight (~5.00 Points) Two-Person Family Households 
 
 Three-Person Family Households 
 
 Four-Person Family Households 
 
 Five-Person Family Households 
 
 Six-Person Family Households 
 
 Seven-Person or More Family Households 
 
 One-Person Nonfamily Households 
 
 Two-Person Nonfamily Households 
 
 Three-Person Nonfamily Households 
 
 Four-Person Nonfamily Households 
 
 Five-Person Nonfamily Households 
 
 Six-Person Nonfamily Households 
 
 Seven-Person or More Nonfamily Households Religious Diversity - Total Points: 10 Evangelical Protestant 
 
 Mainline Protestant 
 
 Black Protestant 
 
 Catholic 
 
 Orthodox Christian 
 
 Muslim 
 
 Buddhist 
 
 Hindu 
 
 Jewish 
 
 Unaffiliated 
 
 Other Political Diversity - Total Points: 10 Conservative 
 
 Moderate 
 
 Liberal 
 
 Unclaimed 
 
 
 
 
 
 Videos for News Use: 
 
 Sources: Data used to create this ranking were collected from the U.S. Census Bureau, ARDA and AVA. 
 
 Image: Monkey Business Images / Shutterstock.com 
 
 Was this article helpful? Yes No Awesome! Thanks for your feedback. Thank you for your feedback. Sorry! Failed to send the feedback. Please try again later. Submit 
 
 Disclaimer: Editorial and user-generated content is not provided or commissioned by financial institutions. Opinions expressed here are the author’s alone and have not been approved or otherwise endorsed by any financial institution, including those that are WalletHub advertising partners. Our content is intended for informational purposes only, and we encourage everyone to respect our content guidelines. Please keep in mind that it is not a financial institution’s responsibility to ensure all posts and questions are answered. Ad Disclosure: Certain offers that appear on this site originate from paying advertisers, and this will be noted on an offer’s details page using the designation "Sponsored", where applicable. Advertising may impact how and where products appear on this site (including, for example, the order in which they appear). At WalletHub we try to present a wide array of offers, but our offers do not represent all financial services companies or products.
– Teachers and librarians have the lowest suicide rate while farmers and fishermen have the highest, according to a CDC study of 12,300 suicides in 17 states in 2012. Why the discrepancy? Researchers say "job-related isolation and demands, stressful work environments, and work-home imbalance, as well as socioeconomic inequities" likely play a role, per the AP. Here are the 10 fields as grouped by the CDC with the highest rates, based on the number of suicides per 100,000 workers: Farming, fishing, and forestry: 84.5 Carpenters, miners, electricians, construction trades: 53.3 Mechanics and those who do installation, maintenance, repair: 47.9 Factory and production workers: 34.5 Architecture and engineering: 32.2 Police, firefighters, corrections workers, others in protective services: 30.5 Arts, design, entertainment, sports, and media: 24.3 Computer and mathematical: 23.3 Transportation workers: 22.3 Corporate executives and managers, advertising, and PR: 20.3 Click for the full list.