Indicator · TLI ind_acled_fatalities_per_100k_5yr
ACLED-Recorded Conflict Fatalities Per 100,000 Population, 5-Year Window
จำนวนผู้เสียชีวิตจากเหตุการณ์ความขัดแย้ง (ACLED) ต่อประชากร 100,000 คน ใน 5 ปี
Source
Armed Conflict Location & Event Data Project (ACLED)
Independent academic crisis-monitoring database covering protests, riots, and armed conflict events worldwide. TLI uses a 5-year rolling window over ACLED events. Refresh: weekly upstream; TLI re-pulls monthly.
Goalposts
The 0-to-100 score for this indicator is normalized against fixed methodology goalposts. The values below define the band; click through to the methodology page for the framework that anchors them.
- Score 100
- 0 fatalities/100k (5yr)
- Score 0
- 2 fatalities/100k (5yr)
- Direction
- Lower is better
- Anchor
- Fitted to the Thai provincial distribution
Goalposts of 0 and 2 conflict fatalities per 100,000 residents over five years were re-fit on 2026-04-30 from 0/5. The prior 0/5 band produced binary results: only the Deep South three exceeded the ceiling and the other 72 provinces all scored 100 with no spread. The tighter 0/2 band differentiates the bulk distribution. Pattani (14.36), Narathiwat (14.24), and Yala (10.25) still clip to zero, which is methodologically correct for the relocation-decision audience.
Live distribution: 57 of 77 provinces clip at the score-100 ceiling ; 3 of 77 clip at the score-0 floor.
Which Thai province leads on ACLED-Recorded Conflict Fatalities Per 100,000 Population, 5-Year Window?
57 Thai provinces share the maximum TLI score of 100/100 on ACLED-Recorded Conflict Fatalities Per 100,000 Population, 5-Year Window; the strongest by raw value are Phuket , Chon Buri , and Rayong (raw values from 0 to 0 fatalities/100k (5yr)). The bottom of the distribution is Pattani (14.36 fatalities/100k (5yr), score 0/100).
Coverage
77 of 77 Thai provinces. Median score: 100. Each province's score is normalized 0–100 against fixed goalposts; a higher score is more favorable.
Reading the columns. Raw value the actual measurement in fatalities/100k (5yr). Score normalized 0–100 against fixed methodology goalposts (not a percentile). Lower is better. Why ties? 57 provinces share the score-100 ceiling because their raw values meet or exceed the upper goalpost. 3 share the score-0 floor at the lower goalpost. Provinces beyond the goalposts aren't separated further — that's the trade-off for fixed, year-over-year comparable scoring instead of percentiles.
Top scorers
| Rank | Province | Raw value (fatalities/100k (5yr)) | Score |
|---|---|---|---|
| 1 | Phuket | 0 | 100 |
| 2 | Chon Buri | 0 | 100 |
| 3 | Rayong | 0 | 100 |
| 4 | Phra Nakhon Si Ayutthaya | 0 | 100 |
| 5 | Phangnga | 0 | 100 |
Lowest scorers
| Rank | Province | Raw value (fatalities/100k (5yr)) | Score |
|---|---|---|---|
| 77 | Pattani | 14.363 | 0 |
| 76 | Narathiwat | 14.245 | 0 |
| 75 | Yala | 10.25 | 0 |
| 74 | Chiang Rai | 1.929 | 3.5 |
| 73 | Songkhla | 0.98 | 51 |
Show all 77 provinces ranked Sorted highest to lowest score
| Rank | Province | Raw value (fatalities/100k (5yr)) | Score |
|---|---|---|---|
| 1 | Phuket | 0 | 100 |
| 2 | Chon Buri | 0 | 100 |
| 3 | Rayong | 0 | 100 |
| 4 | Phra Nakhon Si Ayutthaya | 0 | 100 |
| 5 | Phangnga | 0 | 100 |
| 6 | Samut Songkhram | 0 | 100 |
| 7 | Saraburi | 0 | 100 |
| 8 | Samut Sakhon | 0 | 100 |
| 9 | Lamphun | 0 | 100 |
| 10 | Phetchaburi | 0 | 100 |
| 11 | Chumphon | 0 | 100 |
| 12 | Samut Prakan | 0 | 100 |
| 13 | Trat | 0 | 100 |
| 14 | Prachuap Khiri Khan | 0 | 100 |
| 15 | Krabi | 0 | 100 |
| 16 | Nonthaburi | 0 | 100 |
| 17 | Nakhon Nayok | 0 | 100 |
| 18 | Chachoengsao | 0 | 100 |
| 19 | Ranong | 0 | 100 |
| 20 | Satun | 0 | 100 |
| 21 | Pathum Thani | 0 | 100 |
| 22 | Sing Buri | 0 | 100 |
| 23 | Phitsanulok | 0 | 100 |
| 24 | Chanthaburi | 0 | 100 |
| 25 | Sukhothai | 0 | 100 |
| 26 | Lampang | 0 | 100 |
| 27 | Nakhon Si Thammarat | 0 | 100 |
| 28 | Nong Khai | 0 | 100 |
| 29 | Udon Thani | 0 | 100 |
| 30 | Nakhon Ratchasima | 0 | 100 |
| 31 | Phrae | 0 | 100 |
| 32 | Ang Thong | 0 | 100 |
| 33 | Chai Nat | 0 | 100 |
| 34 | Uttaradit | 0 | 100 |
| 35 | Khon Kaen | 0 | 100 |
| 36 | Uthai Thani | 0 | 100 |
| 37 | Phayao | 0 | 100 |
| 38 | Nan | 0 | 100 |
| 39 | Nakhon Sawan | 0 | 100 |
| 40 | Loei | 0 | 100 |
| 41 | Phichit | 0 | 100 |
| 42 | Suphan Buri | 0 | 100 |
| 43 | Mukdahan | 0 | 100 |
| 44 | Buri Ram | 0 | 100 |
| 45 | Si Sa Ket | 0 | 100 |
| 46 | Chaiyaphum | 0 | 100 |
| 47 | Mae Hong Son | 0 | 100 |
| 48 | Sakon Nakhon | 0 | 100 |
| 49 | Phetchabun | 0 | 100 |
| 50 | Kalasin | 0 | 100 |
| 51 | Kamphaeng Phet | 0 | 100 |
| 52 | Yasothon | 0 | 100 |
| 53 | Bueng Kan | 0 | 100 |
| 54 | Roi Et | 0 | 100 |
| 55 | Amnat Charoen | 0 | 100 |
| 56 | Nong Bua Lam Phu | 0 | 100 |
| 57 | Maha Sarakham | 0 | 100 |
| 58 | Ubon Ratchathani | 0.054 | 97.3 |
| 59 | Bangkok | 0.055 | 97.2 |
| 60 | Surin | 0.074 | 96.3 |
| 61 | Nakhon Pathom | 0.108 | 94.6 |
| 62 | Kanchanaburi | 0.112 | 94.4 |
| 63 | Ratchaburi | 0.116 | 94.2 |
| 64 | Lopburi | 0.139 | 93 |
| 65 | Nakhon Phanom | 0.141 | 93 |
| 66 | Trang | 0.158 | 92.1 |
| 67 | Surat Thani | 0.186 | 90.7 |
| 68 | Phatthalung | 0.193 | 90.3 |
| 69 | Prachin Buri | 0.199 | 90 |
| 70 | Chiang Mai | 0.222 | 88.9 |
| 71 | Tak | 0.284 | 85.8 |
| 72 | Sa Kaeo | 0.357 | 82.2 |
| 73 | Songkhla | 0.98 | 51 |
| 74 | Chiang Rai | 1.929 | 3.5 |
| 75 | Yala | 10.25 | 0 |
| 76 | Narathiwat | 14.245 | 0 |
| 77 | Pattani | 14.363 | 0 |
Methodology
See the methodology page for the full TLI scoring approach, including how this indicator's category Safety & Governance combines with the other six categories via geometric mean.
Cite as: "ACLED-Recorded Conflict Fatalities Per 100,000 Population, 5-Year Window." Thailand Livability Index, 2026. CC BY-NC 4.0.