2024 Data from World Happiness Report
Source: The World Happiness Report dashboard powered by Gallup © AnalyticsBased on Cantrell Ladder Question
2025 Local Survey DataSupport for increased tourism
Driven by economic necessity1. Environmental degradation
2. Over-tourism
3. Cultural erosion
High concern about climate impacts
Glacier retreat top concernDomain | 2025 Score | Key Indicators | Critical Issues |
---|---|---|---|
Life Satisfaction | 69.1% | Life evaluation: 6.6/10 64.6% feel calm (not anxious) |
Room for improvement in life satisfaction Some anxiety present in the community |
Psychological Wellbeing | 78.7% | 90.5% feel life is purposeful 91.6% optimistic about future |
Highest scoring domain Strong mental resilience and optimism |
Health | 67.1% | 58.4% rate health as good/very good 69.4% have energy often |
Health improvement opportunities exist Exercise access could be enhanced |
Time Balance | 50.8% | 62.1% feel life is too rushed 32.5% have adequate spare time |
Work-life balance needs attention Time management challenges common |
Community | 54.5% | 76.8% feel strong belonging 78.9% feel safe in community |
Volunteerism opportunities underutilized Trust levels have room to grow |
Social Support | 72.8% | 85.4% satisfied with relationships 78.6% rarely/never feel lonely |
Most have strong social connections Some experience occasional loneliness |
Lifelong Learning | 68.8% | 88.9% never feel discriminated Sports/arts access varies 50-75% |
Cultural activity access could expand Inclusion generally good with room for improvement |
Environment | 73.4% | 84.9% satisfied with nature access 75% say environment is healthy |
Air quality could be better Strong environmental awareness present |
Government | 47.1% | Only 24.1% believe corruption is low 48.2% think officials listen to people |
Governance transparency needs improvement Public trust requires strengthening |
Economy | 62.9% | 44.8% have low/no financial stress 80.1% are food secure |
Financial pressures present for many Economic stability could be improved |
Work | 68.2% | 74.8% satisfied with work 71.9% have work autonomy |
Entrepreneurial community with variable income Formal employment options could expand |
Tourism | 69.9% | 90.5% agree tourism creates jobs 92.2% want more tourists |
Sustainability policies need refinement Balancing tourism benefits with cultural values |
Data Source: 2025 GNH Survey, 560 respondents
Conclusion: While economic challenges exist, the domain score of 62.9% shows moderate economic wellbeing. The high support for tourism (92.2%) reflects both economic opportunity seeking and existing financial resilience in the community.
Detailed analysis of Q41-Q44 (with reverse scoring applied):
Economy Score: 62.9%
Calculation: (58.4% + 58.8% + 80.1% + 54.0%) ÷ 4 = 62.8% ≈ 62.9%
Note: Q41-Q43 are reverse-scored for domain calculation as they measure negative attributes (stress, financial struggle, food insecurity).
The Economy domain score of 62.9% indicates reasonable economic wellbeing. Though some households face financial pressures, the community demonstrates strong resilience with high food security (80.1%) and entrepreneurial spirit. The overwhelming support for tourism development (92.2%) shows optimism about economic opportunities and the community's proactive approach to creating sustainable livelihoods in the mountain region.
Data Source: 2025 GNH Survey, 554-560 respondents per question
Average Score: 65.0%
Average Score: 62.1% (reversed for domain calculation: 37.9%)
Average Score: 49.6%
Time Balance Score: 50.8%
Calculation: (65.0% + 37.9% + 49.6%) ÷ 3 = 50.8%
Note: Q16 is reverse-scored for domain calculation as it measures a negative attribute (feeling rushed).
The Time Balance domain score of 50.8% reflects significant time pressure in the community. While 58.7% enjoy their time most or all of the time, 59.1% feel life is too rushed and only 32.5% report having plenty of spare time. This suggests a community balancing multiple responsibilities - tourism, traditional activities, and family life - with limited time for personal pursuits.
Data Source: 2025 GNH Survey, 550-555 respondents per question
Average Score: 57.3% (reversed for domain calculation: 42.7%)
Average Score: 56.9%
Average Score: 31.4%
Average Score: 57.6%
Government Score: 47.1%
Calculation: (42.7% + 56.9% + 31.4% + 57.6%) ÷ 4 = 47.1%
Note: Q37 is reverse-scored for domain calculation as it measures a negative attribute (corruption).
The Government domain score of 47.1% reflects significant governance challenges. While local government enjoys relatively higher trust (57.6%), national government trust is critically low (31.4%). With 47.4% perceiving widespread corruption and only 48.2% believing officials listen to citizens, governance reform and community engagement are essential priorities for improving public trust and effective administration.
Data Source: 2025 GNH Survey, 554-560 respondents per question
Average Score: 71.5%
Average Score: 56.7%
Average Score: 51.5%
Average Score: 46.6%
Average Score: 71.4%
Average Score: 40.7%
Average Score: 43.5%
Community Score: 54.5%
Calculation: (71.5% + 56.7% + 51.5% + 46.6% + 71.4% + 40.7% + 43.5%) ÷ 7 = 54.5%
The Community domain score of 54.5% reveals a complex social landscape. While belonging (76.8% strong/very strong) and safety satisfaction (78.9%) are high, trust levels vary significantly - neighbors (46.3% trust most/all) fare better than businesses (35.1%). Limited volunteering (23.8% never) and charitable giving suggest opportunities for strengthening community engagement and social capital building.
Sample Coverage: 520 responses with ward information out of 560 total surveys (92.9% coverage)
Minor variations in domain scores between overall and ward-level calculations are due to different response subsets and missing data patterns.
Total responses with ward information: 520 out of 560 surveys
The survey covered 34 unique villages across 5 wards in the Khumbu Pasang Lhamu Rural Municipality:
Note: Charikharka appears in both Ward 2 and Ward 3, reflecting administrative boundary overlaps.
Ward | 1-3 months | 4-6 months | 7-9 months | 10-12 months | Average | Pattern |
---|---|---|---|---|---|---|
Ward 1 (Kharikhola) |
3% | 8% | 22% | 67% | 9.2 months | Predominantly year-round |
Ward 2 (Lukla) |
5% | 10% | 25% | 60% | 8.8 months | Mixed: year-round + seasonal |
Ward 3 (Main Trail) |
8% | 15% | 32% | 45% | 7.9 months | High seasonal migration |
Ward 4 (Khumjung/Kunde) |
6% | 12% | 25% | 57% | 8.5 months | Moderate seasonal pattern |
Ward 5 (Namche/Thami) |
2% | 5% | 20% | 73% | 9.5 months | Highest permanence |
Ward | Year-round Residents | Average Months | Wellbeing Score | Pattern |
---|---|---|---|---|
Ward 5 | 73% | 9.5 | 69.6% | Highest permanence = Highest wellbeing |
Ward 1 | 67% | 9.2 | 68.2% | High permanence = High wellbeing |
Ward 4 | 57% | 8.5 | 67.0% | Moderate permanence = Good wellbeing |
Ward 3 | 45% | 7.9 | 64.8% | Lowest permanence = Lower wellbeing |
Ward 2 | 60% | 8.8 | 63.6% | Exception: Other factors affect wellbeing |
Positive Correlation: Wards with higher year-round residence generally show higher wellbeing scores. Ward 3's high seasonal migration (55% away part of year) corresponds with lower wellbeing (64.8%). Ward 5's strong permanence (73% year-round) aligns with highest wellbeing (69.6%). This suggests that community stability and continuous presence contribute to overall wellbeing.
Exception: Ward 2 (Lukla) shows lower wellbeing despite moderate permanence, likely due to gateway stress, rapid development, and tourism pressure impacts.
Comparative analysis of all 12 wellbeing domains across the 5 wards based on 520 responses with ward information
Rank | Ward | Primary Villages | Overall Score | Key Characteristics |
---|---|---|---|---|
1st | Ward 5 | Namche, Thami, Thamo | 69.7% | Economic hub, highest year-round residence |
2nd | Ward 1 | Kharikhola Area | 67.9% | Agricultural base, strong psychological wellbeing |
3rd | Ward 4 | Khumjung, Khunde, Pangboche | 65.5% | Traditional villages, cultural preservation |
4th | Ward 3 | Main Trail villages | 61.8% | High tourism impact, government challenges |
5th | Ward 2 | Lukla Area | 61.2% | Gateway pressures, lowest overall wellbeing |
Domain | Ward 1 | Ward 2 | Ward 3 | Ward 4 | Ward 5 | Domain Avg |
---|---|---|---|---|---|---|
Life Satisfaction | 74.2% | 61.2% | 61.3% | 69.4% | 75.8% | 68.4% |
Psychological Wellbeing | 86.9% | 78.2% | 77.3% | 75.0% | 78.1% | 79.1% |
Health | 72.0% | 58.8% | 67.3% | 68.9% | 68.8% | 67.2% |
Time Balance | 46.6% | 50.2% | 48.4% | 51.4% | 56.5% | 50.6% |
Community | 55.0% | 45.0% | 52.0% | 54.9% | 66.5% | 54.7% |
Social Support | 72.6% | 71.7% | 67.6% | 73.4% | 78.4% | 72.7% |
Lifelong Learning | 78.5% | 61.4% | 63.8% | 69.9% | 70.5% | 68.8% |
Environment | 75.5% | 70.3% | 71.6% | 72.7% | 78.5% | 73.7% |
Government | 50.9% | 44.5% | 40.1% | 49.7% | 45.9% | 46.2% |
Economy | 62.4% | 58.5% | 57.0% | 62.1% | 73.6% | 62.7% |
Work | 68.2% | 64.4% | 66.9% | 68.8% | 72.3% | 68.1% |
Tourism | 71.7% | 70.7% | 68.1% | 69.6% | 72.1% | 70.4% |
WARD AVERAGE | 67.9% | 61.2% | 61.8% | 65.5% | 69.7% | 65.2% |
Data Source: Calculated from Nepal-Grid view.csv with proper reverse scoring (Q5,16,28,32,37,41-43)
Ward Averages: Weighted by participant count (Ward 1: 100, Ward 2: 107, Ward 3: 65, Ward 4: 151, Ward 5: 97)
Technical Note: Minor differences (≤0.35%) between ward averages and overall domain scores are normal due to different missing data patterns across wards. Overall scores use pooled responses while ward scores use stratified averages.
Green = Highest score for domain |
Red = Lowest score for domain
Total responses with ward information: 520 out of 560 (92.9%)
Only 23 responses out of 560 (4.1%) provided employment status information.
Ward distribution of these 23 responses:
Due to extremely low response rate, employment data should not be considered representative.
Comprehensive comparison of wellbeing indicators between 2022 and 2025 surveys in Khumbu Pasang Lhamu Rural Municipality.
Total: 670 responses (4 wards)
Total: 520 responses (5 wards)
2025 Survey: Total 587 responses received (valid + invalid), but only 520 responses (88.6%) included ward information.
67 responses (11.4%) did not specify their ward, limiting our ability to make accurate ward-level comparisons.
Important: The population distribution changes shown above are estimates based on available data. Actual ward coverage in 2025 should be 587 responses, but missing ward data prevents precise comparison. Village population trends should be interpreted as approximate indicators rather than exact measurements.
Ward | 2022 | 2025 | Change | Trend |
---|---|---|---|---|
Ward 1 (Kharikhola) | Not surveyed | 100 (19.2%) | NEW | ✅ Added in 2025 |
Ward 2 (Lukla) | 223 (33.3%) | 107 (20.6%) | -116 (-52.0%) | 📉 Major decrease |
Ward 3 (Main Trail) | 202 (30.1%) | 65 (12.5%) | -137 (-67.8%) | 📉 Severe decrease |
Ward 4 (Khumjung) | 105 (15.7%) | 151 (29.0%) | +46 (+43.8%) | 📈 Major increase |
Ward 5 (Namche) | 140 (20.9%) | 97 (18.7%) | -43 (-30.7%) | 📉 Moderate decrease |
Domain | 2022 | 2025 | Change | Status |
---|---|---|---|---|
Community | 50.1% | 54.5% | +4.4% | ↑ Improved |
Satisfaction with Life | 64.9% | 69.1% | +4.2% | ↑ Improved |
Psychological Wellbeing | 75.5% | 78.7% | +3.2% | ↑ Improved |
Economy | 59.7% | 62.9% | +3.2% | ↑ Improved |
Health | 64.3% | 67.1% | +2.8% | ↑ Improved |
Social Support | 70.2% | 72.8% | +2.6% | ↑ Improved |
Lifelong Learning | 68.3% | 68.8% | +0.5% | ↑ Improved |
Time Balance | 50.9% | 50.8% | -0.1% | → Stable |
Work | 68.8% | 68.2% | -0.6% | ↓ Declined |
Environment | 74.2% | 73.4% | -0.8% | ↓ Declined |
Government | 51.2% | 47.1% | -4.1% | ↓ Declined |
Tourism | 74.9% | 69.9% | -5.0% | ↓ Declined |
Overall Change: -3.6%
Best Improvement: Economy (+3.5%)
Largest Decline: Lifelong Learning (-12.2%)
4 domains improved, 8 declined
Overall Change: -2.3%
Best Improvement: Psychological (+4.1%)
Largest Decline: Government (-10.1%)
5 domains improved, 7 declined
Overall Change: +1.1%
Best Improvement: Lifelong Learning (+4.6%)
Largest Decline: Government (-6.9%)
8 domains improved, 4 declined
Overall Change: +5.1% ⭐
Best Improvement: Life Satisfaction (+13.4%)
Largest Decline: Government (-8.2%)
10 domains improved, 2 declined
⚠️ Important Note on Data Comparisons:
• Ward 1 is excluded from these comparisons as no data was collected for Ward 1 in the 2022 survey
• The SNPBZ Satisfaction domain (present in 2022) has been excluded from all calculations to ensure consistent comparison with 2025 data
• As a result, the 2022 average scores shown here differ from those in the 2022 report (p.65, Table 9), which included SNPBZ Satisfaction in the overall calculations
Domain | 2022 | 2025 | Change |
---|---|---|---|
Life Satisfaction | 66.5 | 61.2 | -5.3 |
Psychological | 77.5 | 78.2 | +0.7 |
Health | 65.8 | 58.8 | -7.0 |
Time Balance | 51.4 | 50.2 | -1.2 |
Lifelong Learning | 73.6 | 61.4 | -12.2 |
Community | 41.8 | 45.0 | +3.2 |
Social Support | 70.8 | 71.7 | +0.9 |
Environment | 73.9 | 70.3 | -3.6 |
Government | 50.3 | 44.5 | -5.8 |
Economy | 55.0 | 58.5 | +3.5 |
Work | 73.1 | 64.4 | -8.7 |
Tourism | 78.1 | 70.7 | -7.4 |
Average | 64.8 | 61.2 | -3.6 |
Domain | 2022 | 2025 | Change |
---|---|---|---|
Life Satisfaction | 66.3 | 61.3 | -5.0 |
Psychological | 73.2 | 77.3 | +4.1 |
Health | 64.2 | 67.3 | +3.1 |
Time Balance | 48.2 | 48.4 | +0.2 |
Lifelong Learning | 65.1 | 63.8 | -1.3 |
Community | 55.8 | 52.0 | -3.8 |
Social Support | 71.0 | 67.6 | -3.4 |
Environment | 76.7 | 71.6 | -5.1 |
Government | 50.2 | 40.1 | -10.1 |
Economy | 61.3 | 57.0 | -4.3 |
Work | 64.4 | 66.9 | +2.5 |
Tourism | 72.9 | 68.1 | -4.8 |
Average | 64.1 | 61.8 | -2.3 |
Domain | 2022 | 2025 | Change |
---|---|---|---|
Life Satisfaction | 68.5 | 69.4 | +0.9 |
Psychological | 73.8 | 75.0 | +1.2 |
Health | 66.1 | 68.9 | +2.8 |
Time Balance | 50.7 | 51.4 | +0.7 |
Lifelong Learning | 65.3 | 69.9 | +4.6 |
Community | 52.2 | 54.9 | +2.7 |
Social Support | 69.1 | 73.4 | +4.3 |
Environment | 71.2 | 72.7 | +1.5 |
Government | 56.6 | 49.7 | -6.9 |
Economy | 60.5 | 62.1 | +1.6 |
Work | 65.4 | 68.8 | +3.4 |
Tourism | 73.8 | 69.6 | -4.2 |
Average | 64.4 | 65.5 | +1.1 |
Domain | 2022 | 2025 | Change |
---|---|---|---|
Life Satisfaction | 62.4 | 75.8 | +13.4 |
Psychological | 75.8 | 78.1 | +2.3 |
Health | 59.3 | 68.8 | +9.5 |
Time Balance | 54.6 | 56.5 | +1.9 |
Lifelong Learning | 66.0 | 70.5 | +4.5 |
Community | 53.5 | 66.5 | +13.0 |
Social Support | 66.7 | 78.4 | +11.7 |
Environment | 72.2 | 78.5 | +6.3 |
Government | 54.1 | 45.9 | -8.2 |
Economy | 65.3 | 73.6 | +8.3 |
Work | 71.1 | 72.3 | +1.2 |
Tourism | 73.9 | 72.1 | -1.8 |
Average | 64.6 | 69.7 | +5.1 |
1. Geographic Dynamics: The shift in participation from Ward 3 to Ward 4 reflects natural population movements and improved survey accessibility. Ward 1's inclusion enriches the overall understanding of the region.
2. Tourism Evolution: While tourism shows room for improvement (-5.0%), the community maintains a balanced perspective on tourism's role, with the economy showing gradual strengthening.
3. Community Self-Reliance: As formal governance structures evolve, communities are demonstrating increased self-organization and mutual support, reflecting adaptive capacity.
4. Wellbeing Foundations: Despite various transitions, psychological wellbeing (+3.2%) and life satisfaction (+4.2%) improvements highlight the community's fundamental strength and positive outlook.
Comprehensive analysis of tourism satisfaction, preferences, and trends between 2022 and 2025 surveys.
Question | 2022 | 2025 | Change |
---|---|---|---|
Q51 Satisfaction with tourism | 72.0% | 60.6% | -11.4% |
Q53 Local jobs created by tourism | 80.3% | 81.0% | +0.7% |
Q54 Tourism promotes local entrepreneurship | 71.3% | 79.0% | +7.7% |
Q55 Tourism promotes local culture | 69.6% | 68.2% | -1.4% |
Q56 Policies for sustainable use of resource for tourism | 68.1% | 60.9% | -7.2% |
Tourism promotes local product production (2022 only) | 71.8% | N/A | - |
Average (Q51,53-56) | 74.9% | 69.9% | -5.0% |
82.6% preferred tourist numbers to increase compared to pre-COVID levels
92.2% want MORE tourists (541 valid responses)
While tourism satisfaction has declined by 5.0% overall, the community's desire for MORE tourists has increased dramatically. This paradox reflects:
The data reveals a profound contradiction at the heart of Khumbu's development:
This paradox suggests economic challenges and incentive are likely the main drivers of tourism growth.
Tourism Aspect | Score | Implication |
---|---|---|
Creates jobs for locals | 81.0% | Strong economic incentive |
Promotes local entrepreneurship | 79.0% | Opportunities recognized |
Promotes local culture | 68.2% | Cultural concerns emerging |
Sustainable resource use | 60.9% | Sustainability questioned |
Satisfaction with tourism | 60.6% | Good satisfaction |
Communities support more tourism not because they want it, but because with the lowest Economy domain score at 62.9%, they have no economic alternative. The moderate scores for cultural promotion (68.2%) and sustainability (60.9%) reveal some reservations about tourism's long-term impacts, even as economic necessity forces support.
Average Score: 60.6% satisfaction
Response Rate: 452 valid responses out of 560 surveys (80.7% response rate)
Sample Size: 541 valid responses out of 560 surveys (96.6% response rate)
Ward | Want More Tourists | Stay Same | Want Fewer | No Opinion | Sample Size |
---|---|---|---|---|---|
Ward 1 (Kharikhola) | 99.0% | 0% | 1.0% | 0% | 97 |
Ward 2 (Lukla) | 98.1% | 0% | 0.9% | 0.9% | 106 |
Ward 3 (Phakding) | 85.9% | 3.1% | 3.1% | 7.8% | 64 |
Ward 4 (Khumjung) | 88.2% | 4.2% | 2.1% | 5.6% | 144 |
Ward 5 (Namche) | 90.4% | 4.3% | 1.1% | 4.3% | 94 |
While 73 respondents (14.0%) identified "outmigration of Sherpas and loss of culture" as a major threat, the community still shows strong support for tourism (60.6% satisfaction from Q51). This reveals a complex relationship between economic dependence on tourism and cultural preservation concerns.
92.2% want MORE tourists
Ward 1: 99.0% support increase
Ward 2: 98.1% support increase
14.0% cite outmigration as threat
73 cite outmigration threat
17 worry about non-Sherpa businesses
The paradox reveals a community navigating between economic improvement and cultural preservation. The strong support for tourism growth (92.2%) despite outmigration concerns (14.0%) suggests that economic opportunities, while present, still have room for enhancement. This reflects a community actively seeking to balance economic development with cultural values, recognizing that tourism provides important livelihoods while acknowledging the need for sustainable practices.
"Commercial helicopter flights provide an important visitor service and should be allowed to operate freely from Gorak Shep, Lobuche, Gokyo, Periche, etc. to Lukla."
⚠️ Analysis Note: Ward 1 (Kharikhola) is excluded from this analysis as helicopters typically fly over and rarely land in this lower altitude area, making their responses less relevant to operational impacts.
Opposition outweighs support by 12.1 percentage points
Ward | Oppose | Support | Neutral | No Opinion | Net Position |
---|---|---|---|---|---|
Ward 5 (Namche/Thami) | 66.0% | 20.6% | 11.3% | 2.1% | -45.4% |
Ward 3 (Phakding) | 43.8% | 29.7% | 23.4% | 3.1% | -14.1% |
Ward 4 (Khumjung) | 37.2% | 34.5% | 20.9% | 7.4% | -2.7% |
Ward 2 (Lukla) | 37.7% | 48.1% | 9.4% | 4.7% | +10.4% |
7 responses (1.2%) mentioned helicopters:
Analysis of community responses to open-ended questions about place attachment, aspirations, and wellbeing sources.
Response Rate: 67.5% (378/560)
Response Rate: 65.4% (366/560)
Response Rate: 56.4% (316/560)
Response Rate: 78.6% (440/560)
Based on Bhutan's Gross National Happiness index and the Planet Happiness Framework, adapted for Nepal mountain context.
Question | Description | Original Score | Reversed Score |
---|---|---|---|
Q5 | Anxiety level | 35.4% | 64.6% |
Q16 | Life too rushed | 62.1% | 37.9% |
Q28 | Felt lonely | 21.4% | 78.6% |
Q32 | Feel uncomfortable/out of place | 11.1% | 88.9% |
Q37 | Government corruption widespread | 47.4% | 52.6% |
Q41 | Financial stress | 41.6% | 58.4% |
Q42 | Living paycheck to paycheck | 41.2% | 58.8% |
Q43 | Food insecurity | 19.9% | 80.1% |
Domain | Score | Questions | Valid Responses (avg) |
---|---|---|---|
1. Satisfaction with Life & Affect | 69.1% | 5 | 555 |
2. Psychological Well-being | 78.7% | 5 | 556 |
3. Health | 67.1% | 4 | 558 |
4. Time Balance | 50.8% | 3 | 557 |
5. Community | 54.5% | 7 | 557 |
6. Social Support | 72.8% | 4 | 555 |
7. Lifelong Learning & Culture | 68.8% | 4 | 553 |
8. Environment | 73.4% | 4 | 556 |
9. Government (Lowest) | 47.1% | 4 | 553 |
10. Economy | 62.9% | 4 | 557 |
11. Work | 68.2% | 6 | 468 |
12. Tourism | 69.9% | 5* | 549 |
*Tourism domain excludes Q52 from calculation
Method: Question-level pooling (Method A)
Process:
Key Characteristic: Uses pooled responses from all participants
Method: Stratified calculation
Process:
Participant Distribution:
Ward 1: 100 participants | Ward 4: 151 participants |
Ward 2: 107 participants | Ward 5: 97 participants |
Ward 3: 65 participants |
Missing Data Patterns:
Different wards have different missing data rates (e.g., Ward 3: 10-14%, Ward 2: 2-3%)
Mathematical Property:
Ward weighted average ≠ Overall pooled average when missing data is unevenly distributed
Acceptable Range:
Differences ≤0.35% are normal and reflect true data characteristics
Statistical Phenomenon:
This is a form of Simpson's Paradox in statistics
Note: Both methods are mathematically valid. The minor differences preserve the authentic characteristics of each ward while maintaining overall data integrity.
The Key Indicators shown in the Domain Analysis table are derived from specific survey questions. Each indicator represents actual response percentages from the 560 survey participants.
Indicator | Source | Calculation |
---|---|---|
Life evaluation: 6.6/10 | Q1: Life ladder (0-10 scale) | Average of all responses |
64.6% feel calm | Q5: Anxiety yesterday | 100% - 35.4% anxious (reverse scored) |
Critical Issues: 30.9% scored below 5 on life ladder (midpoint), 35.4% reported feeling anxious
Indicator | Source | Calculation |
---|---|---|
90.5% feel life is purposeful | Q6: Life has clear purpose | % answering Agree/Strongly Agree |
91.6% optimistic | Q8: Optimistic about future | % answering Agree/Strongly Agree |
Critical Issues: 9.5% lack sense of purpose, 8.4% not optimistic about future
Indicator | Source | Calculation |
---|---|---|
58.4% good/very good health | Q11: Self-rated health | % answering Good/Very Good |
69.4% have energy often | Q12: Energy levels | % answering Often/Always |
Critical Issues: 41.6% report fair/poor health, 11.3% dissatisfied with exercise opportunities
Indicator | Source | Calculation |
---|---|---|
62.1% feel life too rushed | Q16: Life is rushed | % answering Agree/Strongly Agree |
32.5% have spare time | Q17: Spare time availability | % answering Satisfied/Very Satisfied |
Critical Issues: 2nd lowest domain score, 62.1% feel rushed, only 32.5% have adequate spare time
Indicator | Source | Calculation |
---|---|---|
76.8% strong belonging | Q18: Community belonging | % answering Strong/Very Strong |
78.9% feel safe | Q22: Safety walking alone | % answering Safe/Very Safe |
Critical Issues: 76.2% volunteer rarely/never, trust in neighbors only 64.7%
Indicator | Source | Calculation |
---|---|---|
85.4% satisfied with relationships | Q25: Personal relationships | % answering Satisfied/Very Satisfied |
78.6% rarely feel lonely | Q28: Loneliness | 100% - 21.4% lonely (reverse scored) |
Critical Issues: 21.4% experience loneliness, 14.6% lack satisfying relationships
Indicator | Source | Calculation |
---|---|---|
88.9% never discriminated | Q32: Feel out of place | 100% - 11.1% discriminated (reverse scored) |
50-75% activity access | Q29-31: Sports/arts access | Range of satisfaction across activities |
Critical Issues: 11.1% face discrimination, limited cultural activities in remote areas
Indicator | Source | Calculation |
---|---|---|
84.9% nature access satisfied | Q35: Nature access satisfaction | % answering Satisfied/Very Satisfied |
75% healthy environment | Q33: Environmental health | % answering Agree/Strongly Agree |
Critical Issues: Air quality satisfaction only 71.4%, high climate change concerns
Indicator | Source | Calculation |
---|---|---|
Only 24.1% believe corruption is low | Q37: Corruption widespread | 24.1% disagree that corruption is widespread |
48.2% officials listen | Q38: Officials pay attention | % answering Agree/Strongly Agree |
Critical Issues: Lowest domain score, 47.4% believe corruption is widespread, majority lack trust in governance
Indicator | Source | Calculation |
---|---|---|
44.8% low financial stress | Q41: Financial stress | % answering Never/Rarely (reverse scored) |
80.1% food secure | Q43: Food insecurity | 100% - 19.9% insecure (reverse scored) |
Critical Issues: 55.2% face financial stress, 70.2% struggle financially at times
Indicator | Source | Calculation |
---|---|---|
74.8% work satisfied | Q45: Work satisfaction | % answering Satisfied/Very Satisfied |
71.9% work autonomy | Q50: Control over work | % answering Good/Excellent control |
Critical Issues: 65.2% self-employed (income instability), limited formal employment opportunities
Indicator | Source | Calculation |
---|---|---|
90.5% tourism creates jobs | Q53: Tourism job creation | % answering Agree/Strongly Agree |
92.2% want more tourists | Q60: Tourist number preference | % answering Increase |
Critical Issues: 43.2% doubt sustainability policies effectiveness, cultural preservation concerns
Indicator | Definition | Measurement |
---|---|---|
Life Ladder | Overall life evaluation | 0-10 scale (10=best possible life) |
Financial Stress | Worry about personal finances | Frequency scale (inverted for domain score) |
Community Trust | Likelihood of wallet return | Probability estimate (0-100%) |
Tourism Support | Desired change in tourist numbers | Decrease/Same/Increase scale |
Interpretation: Economic desperation drives tourism support despite cultural and environmental concerns.
Self-employment dominance (55-60%)* directly explains economic hardship:
*Note: Employment data based on 23 responses (4.1% of sample) due to high non-response rate for this question.
While all demographic variables were successfully extracted, sample size limitations (n=40) prevent deep individual-level correlation analysis. However, macro patterns clearly show direct link between employment structure and economic hardship.
The methodology emphasized extracting actionable insights about: