ONLINE APPENDIX (DE NEVE AND WARD, HAPPINESS AT WORK)

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1 ONLINE APPENDIX (DE NEVE AND WARD, HAPPINESS AT WORK) 1

2 WORLD HAPPINESS REPORT 2017 Table A6.1: Social Comparison Effects of Unemployment Life Evaluation Positive Affect Negative Affect (1) (2) (3) (4) (5) (6) Unemployed *** *** *** *** 0.209*** 0.251*** (0.007) (0.011) (0.008) (0.011) (0.008) (0.011) Unemployment Rate * ** (0.041) (0.041) (0.034) (0.035) (0.037) (0.038) Unemployed * Unemployment Rate 0.233*** 0.181*** *** (0.055) (0.052) (0.051) Country + Year FEs Yes Yes Yes Yes Yes Yes Observations R-squared Countries Standard errors in parentheses adjusted for clustering at the country level. Outcome variables are standardized to have mean=0 and SD=1. Further controls: log income, education level, marital status, household composition, gender, age and its square. Sample is year olds. p < * 0.1 ** p < 0.05 *** p <

3 Table A6.2: Job Type by Gender Job Type (v. Professional) Life Evaluation Positive Affect Negative Affect (1) (2) (3) (4) (5) (6) Men Women Men Women Men Women Manager/Executive/Official 0.043*** 0.025** ** ** (0.011) (0.012) (0.011) (0.013) (0.011) (0.014) Business Owner *** *** *** *** 0.037*** 0.022** (0.010) (0.011) (0.010) (0.011) (0.010) (0.011) Clerical or Office Worker * *** *** *** (0.010) (0.008) (0.011) (0.010) (0.010) (0.010) Sales Worker *** *** *** *** 0.039*** 0.039*** (0.012) (0.010) (0.013) (0.011) (0.012) (0.011) Service Worker *** *** *** *** *** (0.010) (0.009) (0.011) (0.010) (0.010) (0.010) Construction or Mining Worker *** *** *** *** 0.074*** (0.011) (0.026) (0.013) (0.026) (0.012) (0.030) Manufacturing Worker *** *** *** *** 0.038*** 0.075*** (0.011) (0.013) (0.014) (0.015) (0.013) (0.015) Transportation Worker *** *** *** *** 0.066*** 0.068** (0.012) (0.031) (0.015) (0.036) (0.012) (0.032) Installation or Repair Worker *** *** *** *** 0.071*** 0.108*** (0.012) (0.037) (0.016) (0.040) (0.014) (0.040) Farming/Fishing/Forestry Worker *** *** *** *** 0.040*** 0.028** (0.013) (0.013) (0.013) (0.013) (0.012) (0.013) Country + Year FEs Yes Yes Yes Yes Yes Yes Observations R-squared Countries Standard errors in parentheses adjusted for clustering at the country level. Outcome variables are standardized to have mean=0 and SD=1. Further controls: log income, education level, marital status, household composition, gender, age and its square. Sample is year olds. p < * 0.1 ** p < 0.05 *** p <

4 WORLD HAPPINESS REPORT 2017 Table A6.3: Anticipation of and Adaption to Unemployment Spells in Germany Leads All Men Women (1) (2) (3) 3-4 Years Hence *** ** ** (0.031) (0.041) (0.047) 2-3 Years *** ** ** (0.031) (0.043) (0.044) 1-2 Years *** *** *** (0.030) (0.043) (0.044) Within 1 Year *** *** *** Lags (0.031) (0.043) (0.044) Unemployed 0-1 Year *** *** *** (0.037) (0.054) (0.050) 1-2 Years *** *** *** (0.058) (0.087) (0.077) 2-3 Years *** *** *** (0.085) (0.124) (0.115) 3-4 Years *** *** *** (0.110) (0.186) (0.131) 4+ Years *** *** *** (0.137) (0.229) (0.153) Further Controls Yes Yes Yes Individual FEs Yes Yes Yes Observations Source: German Social-Economic Panel. Standard errors in parentheses, clustered at the level of the individual. All regressions include controls for age, age2, years of education, marital status, log income, number of children, region and wave dummies. Dependent variable is life satisfaction (0-10 scale). For more information on specification, which follows Clark and Georgelis (2013), please see text. * p < 0.10, ** p < 0.05, *** p <

5 Table A6.4i: Job Type and Life Evaluation Around the World Job Type (v. Professional) W Europe C+E Europe CIS SE Asia S Asia E Asia LA + Carib NA + ANZ MENA SSA (1) (2) (3) (4) (5) (6) (7) (8) (9) (10) Manager/Executive/ Official 0.026* 0.100*** 0.096** ** (0.013) (0.024) (0.036) (0.032) (0.066) (0.030) (0.034) (0.025) (0.027) (0.026) Business Owner *** 0.103*** *** *** *** (0.017) (0.021) (0.034) (0.028) (0.055) (0.032) (0.022) (0.030) (0.023) (0.016) Clerical or Office Worker ** ** ** (0.013) (0.021) (0.025) (0.033) (0.044) (0.015) (0.023) (0.030) (0.019) (0.019) Sales Worker *** *** ** *** *** ** *** * *** (0.016) (0.022) (0.015) (0.030) (0.042) (0.023) (0.026) (0.031) (0.030) (0.026) Service Worker *** *** *** *** * *** *** *** *** *** (0.013) (0.021) (0.017) (0.028) (0.037) (0.024) (0.027) (0.024) (0.025) (0.016) Construction or Mining Worker Manufacturing Worker Transportation Worker Installation or Repair Worker Farming/Fishing/ Forestry Worker *** *** *** *** *** *** *** *** *** (0.020) (0.032) (0.022) (0.039) (0.052) (0.040) (0.035) (0.029) (0.027) (0.021) *** *** *** *** *** *** ** *** *** *** (0.019) (0.025) (0.024) (0.029) (0.057) (0.033) (0.028) (0.038) (0.031) (0.023) *** *** *** *** * * ** ** *** *** (0.024) (0.031) (0.021) (0.038) (0.056) (0.063) (0.036) (0.058) (0.036) (0.024) *** *** ** *** * ** *** *** (0.024) (0.035) (0.030) (0.043) (0.039) (0.050) (0.042) (0.051) (0.032) (0.028) *** *** *** *** * *** *** *** *** (0.028) (0.031) (0.019) (0.027) (0.059) (0.022) (0.038) (0.061) (0.036) (0.020) Country + Year FEs Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Observations R-squared Countries Standard errors in parentheses adjusted for clustering at the country level. Outcome variables are standardized to have mean=0 and SD=1. Further controls: log income, education level, marital status, household composition, gender, age and its square. Sample is year olds. p < * 0.1 ** p < 0.05 *** p <

6 WORLD HAPPINESS REPORT 2017 Table A6.4ii: Job Type and Positive Affect Around the World Job Type (v. Professional) W Europe C+E Europe CIS SE Asia S Asia E Asia LA + Carib NA + ANZ MENA SSA (1) (2) (3) (4) (5) (6) (7) (8) (9) (10) Manager/Executive/ Official ** *** (0.011) (0.032) (0.028) (0.035) (0.050) (0.038) (0.039) (0.026) (0.029) (0.029) Business Owner *** *** ** *** (0.019) (0.025) (0.041) (0.031) (0.032) (0.019) (0.019) (0.043) (0.024) (0.020) Clerical or Office Worker *** *** * ** ** *** ** *** (0.014) (0.026) (0.032) (0.051) (0.039) (0.029) (0.020) (0.027) (0.024) (0.027) Sales Worker ** *** *** *** ** *** *** * ** *** (0.020) (0.026) (0.022) (0.048) (0.051) (0.033) (0.023) (0.035) (0.034) (0.025) Service Worker *** *** *** *** ** *** *** *** *** (0.013) (0.023) (0.025) (0.041) (0.038) (0.031) (0.021) (0.017) (0.026) (0.024) Construction or Mining Worker Manufacturing Worker Transportation Worker Installation or Repair Worker Farming/Fishing/ Forestry Worker *** *** *** *** *** *** *** *** *** (0.025) (0.034) (0.033) (0.058) (0.044) (0.046) (0.028) (0.038) (0.032) (0.026) *** *** *** *** *** *** ** *** *** *** (0.016) (0.028) (0.029) (0.043) (0.048) (0.042) (0.025) (0.036) (0.041) (0.029) *** *** *** *** *** *** *** *** *** (0.028) (0.037) (0.033) (0.051) (0.074) (0.076) (0.031) (0.050) (0.039) (0.029) *** *** *** *** *** * *** *** (0.031) (0.041) (0.046) (0.046) (0.046) (0.058) (0.033) (0.089) (0.047) (0.034) *** *** *** *** *** *** *** *** *** (0.024) (0.033) (0.027) (0.034) (0.038) (0.028) (0.029) (0.069) (0.032) (0.022) Country + Year FEs Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Observations R-squared Countries Standard errors in parentheses adjusted for clustering at the country level. Outcome variables are standardized to have mean=0 and SD=1. Further controls: log income, education level, marital status, household composition, gender, age and its square. Sample is year olds. p < * 0.1 ** p < 0.05 *** p <

7 Table A6.4iii: Job Type and Negative Affect Around the World Job Type (v. Professional) W Europe C+E Europe CIS SE Asia S Asia E Asia LA + Carib NA + ANZ MENA SSA (1) (2) (3) (4) (5) (6) (7) (8) (9) (10) Manager/Executive/ Official 0.019* 0.051* *** * (0.010) (0.026) (0.029) (0.047) (0.046) (0.033) (0.041) (0.039) (0.034) (0.030) Business Owner 0.051*** 0.063*** 0.064** ** *** 0.045*** (0.016) (0.020) (0.032) (0.035) (0.042) (0.020) (0.026) (0.046) (0.023) (0.016) Clerical or Office Worker * *** 0.044* (0.012) (0.020) (0.025) (0.041) (0.052) (0.014) (0.025) (0.033) (0.022) (0.023) Sales Worker *** ** * 0.055*** (0.018) (0.022) (0.018) (0.038) (0.057) (0.029) (0.029) (0.048) (0.037) (0.018) Service Worker ** ** 0.068*** ** 0.094*** (0.013) (0.021) (0.020) (0.033) (0.042) (0.016) (0.026) (0.028) (0.021) (0.018) Construction or Mining Worker Manufacturing Worker Transportation Worker Installation or Repair Worker Farming/Fishing/ Forestry Worker *** *** 0.075*** (0.025) (0.032) (0.020) (0.040) (0.074) (0.037) (0.031) (0.043) (0.030) (0.024) *** ** 0.134*** 0.145*** (0.029) (0.024) (0.022) (0.044) (0.052) (0.032) (0.031) (0.041) (0.039) (0.027) ** *** *** 0.099*** (0.030) (0.026) (0.023) (0.049) (0.060) (0.030) (0.035) (0.061) (0.035) (0.021) *** * *** 0.158*** (0.028) (0.035) (0.031) (0.058) (0.065) (0.054) (0.040) (0.084) (0.044) (0.028) 0.064** 0.118*** *** (0.032) (0.026) (0.020) (0.035) (0.049) (0.025) (0.037) (0.048) (0.043) (0.017) Country + Year FEs Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Observations R-squared Countries Standard errors in parentheses adjusted for clustering at the country level. Outcome variables are standardized to have mean=0 and SD=1. Further controls: log income, education level, marital status, household composition, gender, age and its square. Sample is year olds. p < * 0.1 ** p < 0.05 *** p < Table A6.5: Correlation Matrix of Country-Year Averages of SWB Measures 7 Life Evaluation Life Evaluation 1 Positive Affect Positive Affect 0.51* 1 Negative Affect Negative Affect -0.17* -0.18* 1 Job Satisfaction Satisfied with Job 0.73* 0.42* Actively Engaged with Job 0.09* 0.32* 0.08* 0.30* 1 Engaged Disengaged Actively Disengaged with Job -0.32* -0.47* * -0.51* 1 * p < 0.05

8 WORLD HAPPINESS REPORT 2017 Table A6.6: Job Satisfaction and Employment Status W Europe C+E Europe CIS SE Asia S Asia E Asia LA + Carib NA + ANZ MENA SSA Employment (v. employed full-time for employer) (1) (2) (3) (4) (5) (6) (7) (8) (9) (10) Employed Full-Time for Self Employed Part-Time (does not want more hours) Employed Part-Time (would like more hours) 0.057*** ** 0.100*** 0.106** *** 0.089*** 0.067** (0.014) (0.070) (0.042) (0.029) (0.038) (0.044) (0.014) (0.034) (0.031) (0.026) 0.058*** * ** (0.013) (0.038) (0.032) (0.036) (0.038) (0.061) (0.030) (0.036) (0.034) (0.029) *** *** *** * *** *** *** *** (0.027) (0.048) (0.052) (0.053) (0.143) (0.047) (0.026) (0.057) (0.048) (0.031) Out of Labor Force Country + Year FEs Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Observations R-squared Countries Standard errors in parentheses adjusted for clustering at the country level. Outcome variables are standardized to have mean=0 and SD=1. Further controls: log income, education level, marital status, household composition, gender, age and its square. Sample is year olds. p < * 0.1 ** p < 0.05 *** p < Table A6.7: Employee Engagement and Employment Status W Europe C+E Europe CIS SE Asia S Asia E Asia LA + Carib NA + ANZ MENA SSA Employment (v. employed full-time for employer) (1) (2) (3) (4) (5) (6) (7) (8) (9) (10) Employed Full-Time for Self Employed Part-Time (does not want more hours) Employed Part-Time (would like more hours) (0.056) (0.101) (0.148) (0.101) (0.133) (0.044) (0.059) (0.193) (0.067) (0.037) * 0.044* (0.012) (0.026) (0.032) (0.055) (0.039) (0.024) (0.038) (0.062) (0.028) (0.026) *** * ** ** (0.017) (0.029) (0.034) (0.034) (0.033) (0.023) (0.023) (0.044) (0.030) (0.021) Country + Year FEs Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Observations R-squared Countries Countries Standard errors in parentheses adjusted for clustering at the country level. Outcome variables are standardized to have mean=0 and SD=1. Further controls: log income, education level, marital status, household composition, gender, age and its square. Sample is year olds. p < * 0.1 ** p < 0.05 *** p <

9 Table A6.8: Job Satisfaction, Employee Engagement, and Employment Status Employment (v. employed full-time for employer) Job Satisfaction Employee Engagement (1) (2) (3) (4) (5) (6) All Men Women All Men Women Employed Full-Time for Self 0.057*** 0.061*** 0.051*** Employed Part-Time (does not want more hours) Employed Part-Time (would like more hours) (0.011) (0.012) (0.013) (0.024) (0.028) (0.037) 0.032*** *** 0.018* (0.011) (0.015) (0.012) (0.009) (0.015) (0.011) *** *** *** *** ** *** (0.018) (0.022) (0.019) (0.009) (0.012) (0.011) Country + Year FEs Yes Yes Yes Yes Yes Yes Observations R-squared Countries Standard errors in parentheses adjusted for clustering at the country level. Outcome variables are standardized to have mean=0 and SD=1. Further controls: log income, education level, marital status, household composition, gender, age and its square. Sample is year olds. p < * 0.1 ** p < 0.05 *** p <

10 WORLD HAPPINESS REPORT 2017 Table A6.9: Job Satisfaction, Employee Engagement, and Job Type Job Type (v. Professional) Job Satisfaction Employee Engagement (1) (2) (3) (4) (5) (6) All Men Women All Men Women Manager/Executive/Official *** * *** ** (0.010) (0.013) (0.014) (0.014) (0.017) (0.020) Business Owner *** ** *** 0.094*** 0.094*** 0.106*** (0.013) (0.015) (0.016) (0.026) (0.030) (0.038) Clerical or Office Worker *** *** *** *** *** *** (0.010) (0.015) (0.012) (0.012) (0.017) (0.015) Sales Worker *** *** *** *** *** *** (0.015) (0.019) (0.018) (0.016) (0.020) (0.020) Service Worker *** *** *** *** *** *** (0.013) (0.017) (0.016) (0.013) (0.018) (0.016) Construction or Mining Worker *** *** *** *** *** *** (0.020) (0.021) (0.047) (0.016) (0.018) (0.036) Manufacturing Worker *** *** *** *** *** *** (0.015) (0.018) (0.020) (0.013) (0.016) (0.022) Transportation Worker *** *** *** *** *** *** (0.020) (0.022) (0.045) (0.018) (0.020) (0.049) Installation or Repair Worker *** *** *** *** *** (0.020) (0.021) (0.051) (0.019) (0.021) (0.053) Farming/Fishing/Forestry Worker *** *** *** *** *** *** (0.017) (0.019) (0.023) (0.018) (0.021) (0.024) Country + Year FEs Yes Yes Yes Yes Yes Yes Observations R-squared Countries Standard errors in parentheses adjusted for clustering at the country level. Outcome variables are standardized to have mean=0 and SD=1. Further controls: log income, education level, marital status, household composition, gender, age and its square. Sample is year olds. p < * 0.1 ** p < 0.05 *** p <

11 Table A6.10: Subjective Wellbeing and Job Characteristics by Gender 11 Units Men Women (1) (2) (3) (4) (5) (6) (7) (8) Life Satisfaction Happiness Job Satisfaction Positive Affect Life Satisfaction Happiness Job Satisfaction Wages (Log) 0.070** 0.052** 0.078*** * ** 0.063** (0.027) (0.021) (0.022) (0.022) (0.038) (0.030) (0.032) (0.025) Hours of Work Responsible for supervising employees High variety in work Job requires learning new things Wages depend on effort Can get support/help from co-workers Job entails health/safety risk Can decide start/finish time Job is secure Job requires very hard work Never enough time to get everything done Good opportunities for promotion Job prevents giving time to family/partner Worry about work problems when not working Too tired after work to enjoy things Control over how daily work is organized (Weekly hours) Positive Affect 0.003** * 0.003** (0.001) (0.001) (0.002) (0.001) (0.002) (0.001) (0.001) (0.002) (0/1) ** 0.033* (0.026) (0.027) (0.026) (0.025) (0.028) (0.025) (0.018) (0.031) (Very True=1) (Very True=1) (Very True=1) (Very True=1) (Very True=1) (Very True=1) (Very True=1) (Strongly Agree=1) (Strongly Agree=1) (Strongly Agree=1) (Often/ Always=1) (Often/ Always=1) (Often/ Always=1) ** 0.218*** 0.120*** 0.101*** 0.072** 0.240*** 0.083*** (0.032) (0.036) (0.028) (0.026) (0.026) (0.033) (0.030) (0.029) 0.072** 0.073* 0.134*** 0.055* * 0.132*** 0.087*** (0.035) (0.037) (0.026) (0.030) (0.018) (0.023) (0.022) (0.028) ** * (0.043) (0.031) (0.027) (0.047) (0.038) (0.052) (0.055) (0.042) 0.128*** 0.162*** 0.188*** 0.141*** 0.092*** 0.160*** 0.301*** 0.125*** (0.024) (0.027) (0.027) (0.031) (0.023) (0.028) (0.031) (0.024) *** * *** ** * *** *** (0.036) (0.049) (0.050) (0.044) (0.081) (0.064) (0.066) (0.063) (0.028) (0.048) (0.045) (0.039) (0.034) (0.029) (0.041) (0.036) 0.072* 0.081* 0.231*** 0.107*** 0.126*** 0.125*** 0.155*** 0.072** (0.035) (0.040) (0.028) (0.028) (0.022) (0.021) (0.033) (0.027) (0.035) (0.044) (0.040) (0.037) (0.045) (0.040) (0.042) (0.040) *** *** *** (0.048) (0.050) (0.043) (0.038) (0.030) (0.028) (0.038) (0.037) * 0.230*** 0.126** 0.141** *** 0.103* (0.048) (0.051) (0.046) (0.060) (0.059) (0.053) (0.058) (0.052) *** *** *** *** *** ** *** *** (0.027) (0.023) (0.032) (0.030) (0.034) (0.029) (0.033) (0.029) ** ** *** *** *** *** (0.034) (0.025) (0.038) (0.038) (0.031) (0.023) (0.033) (0.034) *** *** *** *** *** *** *** *** (0.026) (0.032) (0.033) (0.042) (0.033) (0.035) (0.035) (0.035) (8-10/10=1) 0.058* 0.107*** 0.201*** * 0.072** 0.186*** (0.029) (0.024) (0.033) (0.038) (0.021) (0.026) (0.025) (0.023) Control over pace of work (8-10/10=1) 0.097*** 0.059** 0.068** ** 0.075** 0.109*** 0.080*** (0.026) (0.024) (0.031) (0.031) (0.030) (0.033) (0.024) (0.027) Control over policy decisions of organization (8-10/10=1) *** 0.074** ** (0.027) (0.027) (0.030) (0.029) (0.039) (0.033) (0.039) (0.040) Trade Union Member (0/1) ** * 0.082*** (0.027) (0.024) (0.034) (0.029) (0.029) (0.025) (0.037) (0.042) Self-Employed (v. Employee) (0/1) (0.064) (0.067) (0.060) (0.073) (0.039) (0.042) (0.044) (0.042) Education (Years) 0.007** *** (0.003) (0.003) (0.004) (0.004) (0.003) (0.003) (0.004) (0.003) Age (Years) *** *** *** *** *** *** (0.008) (0.011) (0.010) (0.012) (0.010) (0.010) (0.008) (0.010) Age^2 (Years^2) 0.000*** 0.001*** *** 0.001*** 0.000*** *** (0.000) (0.000) (0.000) (0.000) (0.000) (0.000) (0.000) (0.000) Observations R-squared Standard errors in parentheses adjusted for clustering at the country level. All outcome variables standardised to have mean of 0 and standard deviation of 1. Source: European Social Survey: Round 5 (2010). Further controls: marital status, household composition, migrant status, industry and occupation dummies, country dummies. * p < 0.1 ** p < 0.05 *** p < 0.01

12 WORLD HAPPINESS REPORT 2017 Table A6.11: Gallup World Poll: Summary Statistics Mean Std. Dev. Life Evaluation (0-10) Positive Affect (0-100) Negative Affect (0-100) Satisfied with Job (0/1) Actively Engaged with Job (0/1) Actively Disengaged with Job (0/1) Employment Status (all 0/1) Employed Full-Time for Employer Employed Full-Time for Self Employed Part-Time (does not want more hours) Employed Part-Time (would like more hours) Out of Labour Force Unemployed Job Type (all 0/1) Professional Worker Manager/Executive/Official Business Owner Clerical or Office Worker Sales Worker Service Worker Construction or Mining Worker Manufacturing Worker Transportation Worker Installation or Repair Worker Farming/Fishing/Forestry Worker Controls Annual Household Income ($) Education: Low Education: Medium Education: High Marital Status: Single Marital Status: Married Marital Status: Divorced/Separated Marital Status: Widowed Female Age Children in Household (0/1) Adults in Household (#)

13 13 Table A6.13: Job Satisfaction Around the World Country % Satisfied with Job Lower 95% CI Upper 95% CI 1 Austria Norway Iceland Netherlands Switzerland Thailand Denmark Luxembourg Sweden Turkmenistan Ireland Finland Belgium Laos Canada Germany Venezuela Singapore Costa Rica Australia Cyprus New Zealand Slovenia Portugal Panama Spain Guatemala Qatar Oman Kuwait United Kingdom United Arab Emirates Uzbekistan Poland France Mauritius Puerto Rico Saudi Arabia Brazil Italy Namibia United States Malta Country % Satisfied with Job Lower 95% CI Upper 95% CI 44 Malaysia Nepal Kosovo Bolivia Paraguay Sri Lanka Belize Guyana Suriname Czech Republic Honduras Ecuador Colombia Mexico Hungary Nicaragua Argentina Mongolia Trinidad and Tobago Latvia Israel Uruguay Djibouti Hong Kong Philippines Slovakia Tajikistan El Salvador Jordan Vietnam Afghanistan Bahrain Somaliland Chile Kazakhstan Lithuania Greece Cambodia Pakistan Jamaica Estonia Bangladesh Peru

14 WORLD HAPPINESS REPORT 2017 Table A6.12: Summary Statistics Survey: European Social (Part 2) Country % Satisfied with Job Lower 95% CI Upper 95% CI 87 Croatia Kyrgyzstan Libya Romania Egypt Bulgaria Turkey Russia South Korea Japan Ethiopia Bosnia Herzegovina Indonesia Albania Dominican Republic Ukraine Lebanon Myanmar Iraq Belarus India China Angola Niger Mozambique Macedonia Central African Republic Iran Moldova Azerbaijan Montenegro Palestine Cuba Algeria Serbia Tunisia Chad Country % Satisfied with Job Lower 95% CI Upper 95% CI 124 Cameroon Morocco Ghana Syria Mauritania South Africa Congo Brazzaville Nigeria Sierra Leone Yemen Tanzania Sudan Liberia Zimbabwe Burkina Faso Botswana Georgia Ivory Coast Zambia Swaziland Guinea Senegal Burundi Comoros Mali Gabon Kenya Malawi Rwanda Uganda Armenia Congo Kinshasa Benin Haiti Madagascar Togo Lesotho Source: Gallup World Poll, National average percentage of employed respondents between years old who reported being satisfied (as opposed to dissatisfied ) with their job. 14

15 Figure A6.1: Life Evaluation and Job Type by Gender Figure A6.2: Positive Affect and Job Type by Gender 15

16 WORLD HAPPINESS REPORT 2017 Figure A6.3: Negative Affect and Job Type by Gender Figure A6.4: Job Satisfaction and Job Type by Gender 16

17 Figure A6.5: Employee Engagement and Job Type by Gender Figure A6.6: Positive Affect and Job Type by Region 17

18 WORLD HAPPINESS REPORT 2017 Figure A6.7: Negative Affect and Job Type by Region Figure A6.8: Unemployment Rates and National Life Evaluation by Region 18

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