Introduction: Social cohesion, a key pillar of sustainable development and social harmony, is increasingly recognized for its impact on population well-being. In Senegal, where poverty, inequality, and structural vulnerabilities persist, analyzing social cohesion provides insight into potential drivers for improving individual well-being. This study assessed the effect of social cohesion on subjective well-being among the Senegalese population. Methodology: A descriptive and analytical cross-sectional household survey was conducted from July 23 to August 9, 2023. Six individuals per household, aged five years and above, were randomly selected, producing a nationally representative sample. Social cohesion was measured through trust, solidarity, civic participation, and social inclusion, while well-being was assessed using subjective indicators such as mood, energy, calmness, and life satisfaction. Results: Findings showed that 35.5% of respondents reported feeling energetic most of the time, 35.4% felt calm and peaceful, and 34.6% reported good mood and overall well-being. Marked disparities emerged by age, gender, location, education, and poverty status, with lower well-being levels in rural, poorer, and less-educated groups. Higher social cohesion was consistently associated with greater well-being. Conclusion: These results underscore the role of social cohesion as a determinant of individual well-being in Senegal. Public policies should integrate solidarity, inclusion, and civic participation into poverty reduction strategies and initiatives to strengthen mental and social health.
| Published in | Science Journal of Public Health (Volume 13, Issue 5) |
| DOI | 10.11648/j.sjph.20251305.15 |
| Page(s) | 296-311 |
| Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
| Copyright |
Copyright © The Author(s), 2025. Published by Science Publishing Group |
Social Cohesion, Well-Being, Social Factors, Inequalities, Senegal
WHO | World Health Organization |
COVID-19 | Coronavirus Disease 2019 |
VALCOS Project | Valeurs ET Cohesion Sociale Project |
Variables | Strongly disagree (n)%, IC à 95% | Disagree (n)%, IC à 95% | Neither agree nor disagree (n)%, IC à 95% | Agree (n)%, IC à 95% | Strongly agree (n)%, IC à 95% |
|---|---|---|---|---|---|
Sociocultural Cohesion | |||||
S1. I have strong social ties with diverse groups in my community (N=2174) | (26) 1.2% [0.7-1.7] | (93) 4.3% [3.4-5.2] | (9) 0.4% [0.2-0.8] | (982) 45.2% [43.0-47.2] | (1064) 48.9% [46.8-51.0] |
S2. Members of my community trust one another regardless of identity differences (N=2174) | (17) 0.8% [0.4-1.2] | (130) 6.0% [5.0-7.0] | (47) 2.2% [1.6-2.8] | (1091) 50.2% [48.0-52.3] | (889) 40.8% [38.8-42.9] |
S3. Everyone is treated with dignity, no matter who they are (N=2174) | (35) 1.6% [1.1-2.2] | (131) 6.0% [5.0-7.1] | (58) 2.7% [2.0-3.4] | (1173) 54.0% [51.8-56.0] | (777) 35.7% [33.7-37.8] |
S4. People from different identity groups accept and tolerate each other (N=2174) | (23) 1.1% [0.6-1.6] | (87) 4.0% [3.2-4.9] | (72) 3.3% [2.6-4.1] | (1141) 52.5% [50.3-54.5] | (851) 39.1% [37.0-41.2] |
S5. There are formal and informal opportunities in my community for people of different identity groups to connect and interact (N=2174) | (28) 1.3% [0.8-1.8] | (106) 4.9% [4.0-5.8] | (205) 9.4% [8.2-10.7] | (1090) 50.1% [48.0-52.2] | (745) 34.3% [32.2-36.3] |
S6. My community is capable of managing social problems peacefully (N=2174) | (29) 1.3% [0.9-1.9] | (76) 3.5% [2.7-4.3] | (81) 3.7% [2.9-4.6] | (1177) 54.2% [52.0-56.2] | (811) 37.3% [35.2-39.3] |
Sociocultural cohesion score | 7.3 | 28.7 | 21.7 | 306.2 | 236.1 |
Economic Cohesion | |||||
E1. I am satisfied with my family’s current living conditions compared to others in the community (N=2174) | (83) 3.8% [3.0-4.7] | (141) 6.5% [5.5-7.6] | (67) 3.1% [2.4-3.9] | (1158) 53.3% [51.1-55.3] | (725) 33.3% [31.3-35.3] |
E2. People in my community help each other in times of need (N=2174) | (78) 3.6% [2.8-4.4] | (181) 8.3% [7.2-9.5] | (85) 3.9% [3.1-4.8] | (1148) 52.8% [50.6-54.9] | (682) 31.4% [29.4-33.3] |
E3. Public resources are managed equitably for the benefit of all (N=2174) | (299) 13.8% [12.3-15.2] | (463) 21.3% [19.6-23.0] | (166) 7.6% [6.5-8.8] | (849) 39.1% [36.9-41.1] | (397) 18.2% [16.6-19.9] |
E4. People have equal access to livelihoods and employment opportunities, regardless of who they are (N=2174) | (363) 16.7% [15.1-18.3] | (633) 29.1% [27.2-31.0] | (284) 13.1% [11.6-14.5] | (640) 29.4% [27.5-31.4] | (254) 11.7% [10.3-13.1] |
E5. People enjoy equal chances to access basic quality services, no matter who they are (N=2174) | (219) 10.1% [8.8-11.4] | (384) 17.7% [16.0-19.3] | (150) 6.9% [5.8-8.0] | (984) 45.3% [43.1-47.3] | (437) 20.0% [18.4-21.8] |
E6. Goods and services are exchanged in a fair environment (N=2174) | (266) 12.2% [10.9-13.7] | (462) 21.3% [19.5-23.0] | (157) 7.2% [6.1-8.4] | (817) 37.6% [35.5-39.6] | (472) 21.7% [20.0-23.5] |
Economic cohesion score | 60.2 | 104.2 | 41.8 | 257.5 | 136.3 |
Political Cohesion | |||||
P1. I actively participate in community initiatives to solve problems that affect everyone (N=2174) | (52) 2.4% [1.8-3.1] | (217) 10.0% [8.7-11.3] | (76) 3.5% [2.7-4.3] | (1042) 47.9% [45.8-50.0] | (787) 36.2% [34.1-38.2] |
P2. All people in my community are treated fairly by public authorities (N=2174) | (305) 14.0% [12.6-15.5] | (556) 25.6% [23.7-27.4] | (154) 7.1% [6.0-8.2] | (810) 37.3% [35.2-39.3] | (349) 16.0% [14.5-17.6] |
P3. We share the same civic values as citizens of the same country, regardless of identity group (N=2174) | (185) 8.5% [7.3-9.7] | (315) 14.5% [13.0-16.0] | (146) 6.7% [5.7-7.8] | (1136) 52.3% [50.1-54.3] | (392) 18.0% [16.4-19.7] |
P4. Everyone has the opportunity to engage in political processes without fear (N=2174) | (160) 7.4% [6.3-8.5] | (217) 10.0% [8.7-11.3] | (137) 6.3% [5.3-7.4] | (1060) 48.8% [46.6-50.8] | (600) 27.6% [25.7-29.5] |
P5. People’s concerns and ideas are heard and taken into account by government structures and institutions (N=2174) | (355) 16.3% [14.8-17.9] | (557) 25.6% [23.8-27.5] | (298) 13.7% [12.3-15.2] | (743) 34.2% [32.1-36.2] | (221) 10.2% [8.9-11.5] |
P6. People trust public institutions and government structures at both national and local levels. (N=2174) | (327) 15.0% [13.5-16.6] | (547) 25.2% [23.3-27.0] | (295) 13.6% [12.1-15.0] | (723) 33.3% [31.2-35.2] | (282) 13.0% [11.6-14.4] |
Political cohesion score | 63.6 | 110.9 | 50.9 | 253.8 | 121 |
Overall Social Cohesion Score | 131.1 | 243.8 | 114.4 | 817.5 | 493.4 |
Variables | Modalities | |||||
|---|---|---|---|---|---|---|
Never (n)%, IC à 95% | Occasionally (n)%, IC à 95% | Less than half the time (n)%, IC à 95% | More than half the time (n)%, IC à 95% | Most of the time (n)%, IC à 95% | All the time (n)%, IC à 95% | |
1. I felt good and in a positive mood (N=2174) | (156) 7.2% [6.1-8.3] | (406) 18.7% [17.0-20.3] | (134) 6.2% [5.2-7.2] | (221) 10.2% [8.9-11.5] | (753) 34.6% [32.6-36.6] | (504) 23.1% [21.4-25.0] |
2. I felt calm and peaceful (N=2174) | (189) 8.7% [7.5-9.9] | (321) 14.8% [13.3-16.3] | (132) 6.1% [5.1-7.1] | (248) 11.4% [10.1-12.8] | (769) 35.4% [33.3-37.4] | (515) 23.6% [21.9-25.5] |
3. I felt full of energy and vigorous (N=2174) | (148) 6.8% [5.8-7.9] | (344) 15.8% [14.3-17.4] | (173) 8.0% [6.8-9.1] | (257) 11.8% [10.5-13.2] | (772) 35.5% [33.5-37.5] | (480) 22.1% [20.3-23.8] |
4. I woke up feeling fresh and rested (N=2174) | (117) 5.4% [4.4-6.4] | (337) 15.5% [14.0-17.1] | (160) 7.4% [6.3-8.5] | (340) 15.6% [14.1-17.2] | (770) 35.4% [33.4-37.4] | (450) 20.7% [19.0-22.4] |
5. My daily life was filled with interesting things (N=2174) | (204) 9.4% [8.2-10.7] | (314) 14.4% [13.0-16.0] | (115) 5.3% [4.4-6.3] | (412) 19.0% [17.3-20.6] | (785) 36.1% [34.0-38.1] | (344) 15.8% [14.3-17.4] |
Well‑being score | 37.5 | 79.2 | 33 | 68 | 177 | 105.3 |
Variables (N=2174) | n (%) | IC à 95% |
|---|---|---|
Geographic area | ||
Rural | 1143 (52.58%) | [50% - 55%] |
Urban | 1031 (47.42%) | [45% - 50%] |
Gender | ||
Female | 415 (19.09%) | [17% - 21%] |
Male | 1759 (80.91%) | [79% - 83%] |
Age group | ||
23-63 years | 1157 (53.22%) | [51% - 55%] |
≥64 years | 1017 (46.78%) | [45% - 49%] |
Marital status | ||
Married | 1952 (89.79%) | [88% - 91%] |
Unmarried | 222 (10.21%) | [9.0% - 12%] |
Education | ||
Yes (formal education) | 1014 (46.64%) | [45% - 59%] |
No | 1160 (53.36%) | [51% - 55%] |
Occupation | ||
Administrative* | 122 (5.61%) | [4.7% - 6.7%] |
Non-administrative* | 2052 (94.39%) | [93% - 95%] |
Household size | ||
≥9 persons | 1886 (86.75%) | [85% - 88%] |
<9 persons | 288 (13.25%) | [12% - 15%] |
Presence of chronic illness in household | ||
Yes | 1251 (57.54%) | [55% - 60%] |
No | 923 (42.46%) | [40% - 45%] |
Health insurance coverage | ||
Yes | 639 (29.39%) | [27% - 31%] |
No | 1535 (70.61%) | [69% - 73%] |
Household income | ||
< 300 000 West African CFA franc | 1755 (80.73%) | [79% - 82%] |
≥ 300 000 West African CFA franc | 419 (19.27%) | [18% - 21%] |
Economic status | ||
Poor | 2041 (93.88%) | [93% - 95%] |
Wealthy | 133 (6.12%) | [5.2% - 7.2%] |
Variable (N = 2174) | n (%) | IC à 95% |
|---|---|---|
Sociocultural cohesion | ||
Yes | 584 (26.86%) | [25% - 29%] |
No | 1590 (73.14%) | [71% - 75%] |
Economic cohesion | ||
Yes | 548 (25.21%) | [23% - 27%] |
No | 1626 (74.79%) | [73% - 77%] |
Political cohesion | ||
Yes | 491 (22.59%) | [21% - 24%] |
No | 1683 (77.41%) | [76% - 79%] |
Overall social cohesion | ||
Yes | 401 (18.45%) | [17% - 20%] |
No | 1773 (81.55%) | [80% - 83%] |
Well being | ||
Yes | 967 (44.48%) | [42% - 47%] |
No | 1207 (55.52%) | [53% - 58%] |
Variables | No (N = 1590) | Yes (N = 584) | p-value |
|---|---|---|---|
Geographic area | 0.012 | ||
Rural | 810 (50.94%) | 333 (57.02%) | |
Urban | 780 (49.06%) | 251 (42.98%) | |
Gender | 0.042 | ||
Female | 320 (20.13%) | 95 (16.27%) | |
Male | 1270 (79.87%) | 489 (83.73%) | |
Age group | <0.001 | ||
23-63 years | 882 (55.47%) | 275 (47.09%) | |
≥64 years | 708 (44.53%) | 309 (52.91%) | |
Marital status | 0.5 | ||
Married | 1432 (90.06%) | 520 (89.04%) | |
Unmarried | 158 (9.94%) | 64 (10.96%) | |
Education | 0.2 | ||
Yes (formal education) | 755 (47.48%) | 259 (44.35%) | |
No | 835 (52.52%) | 325 (55.65%) | |
Occupation | 0.2 | ||
Administrative | 95 (5.97%) | 27 (4.62%) | |
Non-administrative | 1495 (94.03%) | 557 (95.38%) | |
Household size | 0.3 | ||
≥9 persons | 1387 (87.23%) | 499 (85.45%) | |
<9 persons | 203 (12.77%) | 85 (14.55%) | |
Presence of chronic illness in household | 0.039 | ||
Yes | 936 (58.87%) | 315 (53.94%) | |
No | 654 (41.13%) | 269 (46.06%) | |
Health insurance coverage | 0.3 | ||
Yes | 458 (28.81%) | 181 (30.99%) | |
No | 1132 (71.19%) | 403 (69.01%) | |
Household income | 0.2 | ||
< 300 000 West African CFA franc | 1274 (80.13%) | 481 (82.36%) | |
≥ 300 000 West African CFA franc | 316 (19.87%) | 103 (17.64%) | |
Economic status | 0.030 | ||
Poor | 1482 (93.21%) | 559 (95.72%) | |
Wealthy | 108 (6.79%) | 25 (4.28%) |
Variables | No (N = 1626) | Yes (N = 548) | p-value |
|---|---|---|---|
Geographic area | 0.14 | ||
Rural | 840 (51.66%) | 303 (55.29%) | |
Urban | 786 (48.34%) | 245 (44.71%) | |
Gender | 0.8 | ||
Female | 312 (19.19%) | 103 (18.80%) | |
Male | 1314 (80.81%) | 445 (81.20%) | |
Age group | 0.025 | ||
23-63 years | 888 (54.61%) | 269 (49.09%) | |
≥64 years | 738 (45.39%) | 279 (50.91%) | |
Marital status | 0.2 | ||
Married | 1468 (90.28%) | 484 (88.32%) | |
Unmarried | 158 (9.72%) | 64 (11.68%) | |
Education | >0.9 | ||
Yes (formal education) | 759 (46.68%) | 255 (46.53%) | |
No | 867 (53.32%) | 293 (53.47%) | |
Occupation | 0.060 | ||
Administrative | 100 (6.15%) | 22 (4.01%) | |
Non-administrative | 1526 (93.85%) | 526 (95.99%) | |
Household size | 0.4 | ||
≥9 persons | 1405 (86.41%) | 481 (87.77%) | |
<9 persons | 221 (13.59%) | 67 (12.23%) | |
Presence of chronic illness in household | 0.3 | ||
Yes | 947 (58.24%) | 304 (55.47%) | |
No | 679 (41.76%) | 244 (44.53%) | |
Health insurance coverage | 0.8 | ||
Yes | 476 (29.27%) | 163 (29.74%) | |
No | 1150 (70.73%) | 385 (70.26%) | |
Household income | 0.8 | ||
< 300 000 West African CFA franc | 1311 (80.63%) | 444 (81.02%) | |
≥ 300 000 West African CFA franc | 315 (19.37%) | 104 (18.98%) | |
Economic status | 0.030 | ||
Poor | 1516 (93.23%) | 525 (95.80%) | |
Wealthy | 110 (6.77%) | 23 (4.20%) |
Variables | No (N = 1683) | Yes (N = 491) | p-value |
|---|---|---|---|
Geographic area | 0.067 | ||
Rural | 867 (51.52%) | 276 (56.21%) | |
Urban | 816 (48.48%) | 215 (43.79%) | |
Gender | 0.029 | ||
Female | 338 (20.08%) | 77 (15.68%) | |
Male | 1345 (79.92%) | 414 (84.32%) | |
Age group | 0.012 | ||
23-63 years | 920 (54.66%) | 237 (48.27%) | |
≥64 years | 763 (45.34%) | 254 (51.73%) | |
Marital status | 0.8 | ||
Married | 1510 (89.72%) | 442 (90.02%) | |
Unmarried | 173 (10.28%) | 49 (9.98%) | |
Education | 0.8 | ||
Yes (formal education) | 900 (53.48%) | 260 (52.95%) | |
No | 783 (46.52%) | 231 (47.05%) | |
Occupation | 0.019 | ||
Administrative | 105 (6.24%) | 17.00 (3.46%) | |
Non-administrative | 1578 (93.76%) | 474 (96.54%) | |
Household size | 0.9 | ||
≥9 persons | 1461 (86.81%) | 425 (86.56%) | |
<9 persons | 222 (13.19%) | 66 (13.44%) | |
Presence of chronic illness in household | 0.6 | ||
Yes | 963 (57.22%) | 288 (58.66%) | |
No | 720 (42.78%) | 203 (41.34%) | |
Health insurance coverage | 0.003 | ||
Yes | 468 (27.81%) | 171 (34.83%) | |
No | 1215 (72.19%) | 320 (65.17%) | |
Household income | 0.5 | ||
< 300 000 West African CFA franc | 1354 (80.45%) | 401 (81.67%) | |
≥ 300 000 West African CFA franc | 329 (19.55%) | 90 (18.33%) | |
Economic status | 0.4 | ||
Poor | 1576 (93.64%) | 465 (94.70%) | |
Wealthy | 107 (6.36%) | 26 (5.30%) |
Variables | No (N = 1773) | Yes (N = 401) | p-value |
|---|---|---|---|
Geographic area | 0.004 | ||
Rural | 906 (51.10%) | 237 (59.10%) | |
Urban | 867 (48.90%) | 164 (40.90%) | |
Gender | 0.006 | ||
Female | 358 (20.19%) | 57 (14.21%) | |
Male | 1415 (79.81%) | 344 (85.79%) | |
Age group | 0.031 | ||
23-63 years | 963 (54.31%) | 194 (48.38%) | |
≥64 years | 810 (45.69%) | 207 (51.62%) | |
Marital status | 0.5 | ||
Married | 1596 (90.02%) | 356 (88.78%) | |
Unmarried | 177 (9.98%) | 45 (11.22%) | |
Education | 0.3 | ||
Yes (formal education) | 837 (47.21%) | 177 (44.14%) | |
No | 936 (52.79%) | 224 (55.86%) | |
Occupation | 0.2 | ||
Administrative | 105 (5.92%) | 17 (4.24%) | |
Non-administrative | 1668 (94.08%) | 384 (95.76%) | |
Household size | 0.6 | ||
≥9 persons | 1535 (86.58%) | 351 (87.53%) | |
<9 persons | 238 (13.42%) | 50 (12.47%) | |
Presence of chronic illness in household | 0.6 | ||
Yes | 1025 (57.81%) | 226 (56.36%) | |
No | 748 (42.19%) | 175 (43.64%) | |
Health insurance coverage | 0.028 | ||
Yes | 503 (28.37%) | 136 (33.92%) | |
No | 1270 (71.63%) | 265 (66.08%) | |
Household income | 0.15 | ||
< 300 000 West African CFA franc | 1421 (80.15%) | 334 (83.29%) | |
≥ 300 000 West African CFA franc | 352 (19.85%) | 67 (16.71%) | |
Economic status | 0.4 | ||
Poor | 1661 (93.68%) | 380 (94.76%) | |
Wealthy | 112 (6.32%) | 21 (5.24%) |
Cohesion Dimension | Well-being | OR | 95%CI | p-value | |
|---|---|---|---|---|---|
Yes | No | ||||
Sociocultural cohesion | |||||
Yes | 269 (48%) | 296 (52%) | 1.27 | [1.0-1.6] | 0.048 |
No | 236 (42%) | 329 (58%) | - | - | - |
Economic cohesion | |||||
Yes | 255 (47%) | 285 (53%) | 1.19 | [0.9-1.5] | 0.14 |
No | 231 (43%) | 309 (57%) | - | - | - |
Political cohesion | |||||
Yes | 225 (47%) | 250 (53%) | 1.27 | [1.0-1.6] | 0.068 |
No | 197 (41%) | 278 (59%) | - | - | - |
Overall social cohesion | |||||
Yes | 181 (46%) | 211 (54%) | 1.26 | [0.9-1.6] | 0.11 |
No | 159 (41%) | 233 (59%) | - | - | - |
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APA Style
Tine, J. A. D., Eliassou, A. A., Sokhna, N. M., Diarra, K., Ndiaye, M., et al. (2025). Study on the Effect of Social Cohesion on Individual Well-Being in Senegal. Science Journal of Public Health, 13(5), 296-311. https://doi.org/10.11648/j.sjph.20251305.15
ACS Style
Tine, J. A. D.; Eliassou, A. A.; Sokhna, N. M.; Diarra, K.; Ndiaye, M., et al. Study on the Effect of Social Cohesion on Individual Well-Being in Senegal. Sci. J. Public Health 2025, 13(5), 296-311. doi: 10.11648/j.sjph.20251305.15
@article{10.11648/j.sjph.20251305.15,
author = {Jean Augustin Diegane Tine and Abdoul-Bast Akram Eliassou and Ndeye Marie Sokhna and Kadidiatou Diarra and Mbayang Ndiaye and Ibrahima Seck},
title = {Study on the Effect of Social Cohesion on Individual Well-Being in Senegal
},
journal = {Science Journal of Public Health},
volume = {13},
number = {5},
pages = {296-311},
doi = {10.11648/j.sjph.20251305.15},
url = {https://doi.org/10.11648/j.sjph.20251305.15},
eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.sjph.20251305.15},
abstract = {Introduction: Social cohesion, a key pillar of sustainable development and social harmony, is increasingly recognized for its impact on population well-being. In Senegal, where poverty, inequality, and structural vulnerabilities persist, analyzing social cohesion provides insight into potential drivers for improving individual well-being. This study assessed the effect of social cohesion on subjective well-being among the Senegalese population. Methodology: A descriptive and analytical cross-sectional household survey was conducted from July 23 to August 9, 2023. Six individuals per household, aged five years and above, were randomly selected, producing a nationally representative sample. Social cohesion was measured through trust, solidarity, civic participation, and social inclusion, while well-being was assessed using subjective indicators such as mood, energy, calmness, and life satisfaction. Results: Findings showed that 35.5% of respondents reported feeling energetic most of the time, 35.4% felt calm and peaceful, and 34.6% reported good mood and overall well-being. Marked disparities emerged by age, gender, location, education, and poverty status, with lower well-being levels in rural, poorer, and less-educated groups. Higher social cohesion was consistently associated with greater well-being. Conclusion: These results underscore the role of social cohesion as a determinant of individual well-being in Senegal. Public policies should integrate solidarity, inclusion, and civic participation into poverty reduction strategies and initiatives to strengthen mental and social health.
},
year = {2025}
}
TY - JOUR T1 - Study on the Effect of Social Cohesion on Individual Well-Being in Senegal AU - Jean Augustin Diegane Tine AU - Abdoul-Bast Akram Eliassou AU - Ndeye Marie Sokhna AU - Kadidiatou Diarra AU - Mbayang Ndiaye AU - Ibrahima Seck Y1 - 2025/10/27 PY - 2025 N1 - https://doi.org/10.11648/j.sjph.20251305.15 DO - 10.11648/j.sjph.20251305.15 T2 - Science Journal of Public Health JF - Science Journal of Public Health JO - Science Journal of Public Health SP - 296 EP - 311 PB - Science Publishing Group SN - 2328-7950 UR - https://doi.org/10.11648/j.sjph.20251305.15 AB - Introduction: Social cohesion, a key pillar of sustainable development and social harmony, is increasingly recognized for its impact on population well-being. In Senegal, where poverty, inequality, and structural vulnerabilities persist, analyzing social cohesion provides insight into potential drivers for improving individual well-being. This study assessed the effect of social cohesion on subjective well-being among the Senegalese population. Methodology: A descriptive and analytical cross-sectional household survey was conducted from July 23 to August 9, 2023. Six individuals per household, aged five years and above, were randomly selected, producing a nationally representative sample. Social cohesion was measured through trust, solidarity, civic participation, and social inclusion, while well-being was assessed using subjective indicators such as mood, energy, calmness, and life satisfaction. Results: Findings showed that 35.5% of respondents reported feeling energetic most of the time, 35.4% felt calm and peaceful, and 34.6% reported good mood and overall well-being. Marked disparities emerged by age, gender, location, education, and poverty status, with lower well-being levels in rural, poorer, and less-educated groups. Higher social cohesion was consistently associated with greater well-being. Conclusion: These results underscore the role of social cohesion as a determinant of individual well-being in Senegal. Public policies should integrate solidarity, inclusion, and civic participation into poverty reduction strategies and initiatives to strengthen mental and social health. VL - 13 IS - 5 ER -