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Wellbeing in Kings County Results from the GPI Community Survey

Wellbeing in Kings County Results from the GPI Community Survey. Mike Pennock Martha Pennock Ron Colman. Majority of residents are satisfied with their lives…. % who are very satisfied. Life-satisfaction……. Increases with income (probably levels off in upper income)

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Wellbeing in Kings County Results from the GPI Community Survey

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  1. Wellbeing in Kings CountyResults from the GPI Community Survey Mike Pennock Martha Pennock Ron Colman

  2. Majority of residents are satisfied with their lives…

  3. % who are very satisfied

  4. Life-satisfaction……. • Increases with income (probably levels off in upper income) • Highest among retirees and homemakers • Mid-range for employed persons and students • Lowest among unemployed

  5. What would increase life-satisfaction

  6. Core Values

  7. Values and Life-Satisfaction • Positive social values associated with life-satisfaction • Materialistic values were not • Consistent with literature

  8. Alienation?

  9. Spirituality • 60%- spiritual values played an important role • Higher in females (65%) than males (55%) • Increases with age from 37% among youngest to 79% among over 65

  10. Unemployment • 12.7% higher than corresponding NS and can rates • Highest among youngest (42%). Lowest among 35-44 (8.5%)

  11. Strongly associated with education

  12. Unemployed • 52% of unemployed were long-term (25 weeks+) • 16% were pessimistic about finding work • Both higher among males

  13. Part-time • 15% working part-time • Higher in females (22%) than males (8%) • 15% of part-timers are involuntary • Higher among females (17%) than males (9%)

  14. Benefits

  15. Self-rated Health • 52% excellent or very good • 18% poor or fair • No gender differences • Health declined with age • Increased with income

  16. Substantial income effects

  17. Also in chronic disease prevalence

  18. and activity restrictions

  19. Smoking • 17% daily smokers- close to nat’l average and slightly lower than NS rate • No gender differences • Highest among middle-aged (23%)) • Lowest among 55+ (10%) • Mid-range among 35 and under (15%) • Income effect- from 23% to 12%

  20. Obesity • 23%- higher than NS (20%) and Canada (15%) • No gender differences • Highest in 25 to 34 and 45 to 64 • Lowest in 65+ • Highest in middle-income groups

  21. Sedentary Lifestyle • 19% with no gender differences • No age effect • U-shaped curve with age (highest in low income (21%) and highest income (22%)

  22. Physical activities at least 5X per week • 43% • Males slightly higher (45%) than females (41%) • U-shaped with age- lowest among middle-aged • No income effect (positive)

  23. Preventive practices past year

  24. Mental Health Strong Age Effects

  25. Difficulty in thinking clearly and solving problems

  26. And emotional distress Two or more symptoms

  27. Depressed Mood

  28. Also, Strong income effects on all measures Gender effect on depressed mood but not others

  29. Childhood Risk Factors

  30. Adult effects

  31. Life Stress Somewhat or very stressful

  32. Peaks in middle-age

  33. Some income effect

  34. One and two-income families

  35. Stressed lives • 43 % consider themselves workaholics • Only 15% planned on cutting back next year

  36. Stressed lives cont’d

  37. Job Stresses

  38. Would trade pay increases for fewer hours

  39. Volunteering • 51% gave unpaid help to group or organization • Highest among 35+ • Positive relationship with income • 51% very satisfied and 41% somewhat satisfied

  40. Reasons for not volunteering

  41. Informal Volunteering • Provided by 59% • Higher in females (62%) than males (56%)

  42. Willing to do more if asked • 49% would give more time if asked • Males- 55% • Young (15 to 24) 76% • Low income (58%)

  43. Unpaid Caregiving

  44. Higher in low-income homes

  45. Social Support

  46. Social Support • Strong income gradient across categories • Lowest among unemployed

  47. Crime and security • 14% of both genders had been victimized during past five years • Peaked among middle-aged and lowest among elderly • Highest (20%) in high income • Lowest (9%) in low income26% knoew someone else who had been victimized

  48. Safety • 97% were satisfied with their sense of safety from crime • Males more likely to be “very satisfied” • 28% felt neighbourhood was very safe (44% for males) • 45% felt it was reasonably safe • Females more likely to not walk alone at night 22% vs 15%

  49. Understanding the ecological footprint

  50. Vehicle Use

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