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TLI.

Indicator · TLI ind_tree_canopy_pct

Tree Canopy Coverage Percentage

สัดส่วนพื้นที่ปกคลุมด้วยเรือนยอดต้นไม้ (Hansen GFC, %)

AS OF 27 MAY 2025%Weight 1

Source

Hansen Global Forest Change v1.12 (University of Maryland GLAD)

University of Maryland satellite forest-cover dataset (Landsat-derived); peer-reviewed and globally cited. Refresh: annual; v1.x releases roll forward as new years are processed.

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
60%
Score 0
5%
Direction
Higher is better
Anchor
Fitted to the Thai provincial distribution

Goalposts of 5 percent and 60 percent are fitted to the observed Thai provincial distribution measured against Hansen Global Forest Change v1.12 at the 30 percent canopy threshold. The empirical distribution ranges from 0.34 percent (Maha Sarakham) to 91.12 percent (Mae Hong Son), with median 30.03 percent. The 5/60 band places the median near the center of the scoring range; eight provinces clip at 100, and five clip at zero.

Live distribution: 17 of 77 provinces clip at the score-100 ceiling; 11 of 77 clip at the score-0 floor.

Which Thai province leads on Tree Canopy Coverage Percentage?

17 Thai provinces share the maximum TLI score of 100/100 on Tree Canopy Coverage Percentage; the strongest by raw value are Mae Hong Son, Yala, and Narathiwat (raw values from 85.09 to 91.19 %). The bottom of the distribution is Maha Sarakham (0.32 %, score 0/100).

Coverage

77 of 77 Thai provinces. Median score: 44.8. Each province's score is normalized 0–100 against fixed goalposts; a higher score is more favorable.

Reading the columns.Raw valuethe actual measurement in %.Scorenormalized 0–100 against fixed methodology goalposts (not a percentile). Higher is better.Why ties?17 provinces share the score-100 ceiling because their raw values meet or exceed the upper goalpost. 11 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

RankProvinceRaw value (%)Score
1Mae Hong Son91.19100
2Yala90.41100
3Narathiwat85.09100
4Ranong82.73100
5Phangnga82.46100

Lowest scorers

RankProvinceRaw value (%)Score
77Maha Sarakham0.320
76Phichit1.490
75Sing Buri2.30
74Roi Et2.740
73Samut Prakan2.980
Show all 77 provinces rankedSorted highest to lowest score
RankProvinceRaw value (%)Score
1Mae Hong Son91.19100
2Yala90.41100
3Narathiwat85.09100
4Ranong82.73100
5Phangnga82.46100
6Surat Thani78.24100
7Nan76.54100
8Krabi76.48100
9Satun75.1100
10Trang75.06100
11Chumphon72.91100
12Chiang Mai72.69100
13Phrae72.1100
14Tak71.73100
15Lampang68.82100
16Nakhon Si Thammarat62.98100
17Uttaradit60.36100
18Songkhla58.4797.2
19Chanthaburi54.7590.5
20Phayao54.4289.9
21Lamphun53.7588.6
22Kanchanaburi53.3687.9
23Phetchaburi52.786.7
24Trat51.6684.8
25Uthai Thani48.4779
26Phuket48.1378.4
27Prachuap Khiri Khan47.8477.9
28Samut Songkhram47.0676.5
29Pattani46.9376.2
30Chiang Rai46.8976.2
31Phatthalung46.0774.7
32Phitsanulok37.8859.8
33Loei34.1753
34Rayong33.4851.8
35Nakhon Nayok33.3651.6
36Prachin Buri31.9148.9
37Mukdahan31.0447.3
38Phetchabun30.5446.4
39Sukhothai29.6244.8
40Ratchaburi27.9641.7
41Chaiyaphum23.9834.5
42Saraburi21.9730.9
43Kamphaeng Phet21.7730.5
44Sa Kaeo19.3726.1
45Samut Sakhon16.8621.6
46Chachoengsao16.8421.5
47Ubon Ratchathani14.8317.9
48Chon Buri14.3817.1
49Nakhon Ratchasima13.615.6
50Nakhon Phanom13.2214.9
51Suphan Buri12.6413.9
52Sakon Nakhon12.5213.7
53Si Sa Ket12.4413.5
54Amnat Charoen12.3313.3
55Bueng Kan10.7710.5
56Nong Khai9.297.8
57Nakhon Sawan8.336.1
58Udon Thani8.075.6
59Nakhon Pathom7.654.8
60Surin7.073.8
61Buri Ram7.063.8
62Khon Kaen7.023.7
63Nong Bua Lam Phu6.983.6
64Lopburi6.673
65Nonthaburi6.663
66Kalasin5.771.4
67Yasothon4.750
68Pathum Thani3.520
69Bangkok3.230
70Ang Thong3.170
71Phra Nakhon Si Ayutthaya3.130
72Chai Nat3.020
73Samut Prakan2.980
74Roi Et2.740
75Sing Buri2.30
76Phichit1.490
77Maha Sarakham0.320

Methodology

See the methodology page for the full TLI scoring approach, including how this indicator's category Environment & Climate combines with the other six categories via geometric mean.

Cite as: "Tree Canopy Coverage Percentage." Thailand Livability Index, 2026. CC BY-NC 4.0.

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