Indicator · TLI ind_dependency_ratio

Provincial Dependency Ratio

อัตราส่วนการพึ่งพิงรวมระดับจังหวัด

AS OF 5 MAY 2026per 100 working-age adultsWeight 0.5

Source

Department of Provincial Administration (DOPA), Bureau of Registration Administration

DOPA SPA JSON API; per-year-of-age registered population for all 77 provinces. Reference year BE 2568, December (December 2025 in the Western calendar). Annual refresh in February following the reference year.

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: 35per 100 working-age adults
Score 0: 58per 100 working-age adults
Direction: Lower is better
Anchor: Fitted to the Thai provincial distribution

Goalposts of 35 and 58 are fitted to the observed DOPA 2025 distribution. The empirical band runs from 36.02 (Pathum Thani) to 56.83 (Tak), with median 42.05. The floor and ceiling sit approximately two points outside the observed band to absorb expected year-over-year movement without saturating either end. Tak sits 6.10 points above the next-worst province, consistent with the Mae Sot cross-border labor and refugee-camp registration anomaly documented in the methodology PDF.

Which Thai province leads on Provincial Dependency Ratio?

Pathum Thani leads Thailand on Provincial Dependency Ratio with a raw value of 36.02 per 100 working-age adults, earning a TLI score of 95.6/100. The bottom of the distribution is Tak (56.83 per 100 working-age adults, score 5.1/100).

Coverage

77 of 77 Thai provinces. Median score: 69.3. 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 per 100 working-age adults.Scorenormalized 0–100 against fixed methodology goalposts (not a percentile). Lower is better.

Top scorers

Rank	Province	Raw value (per 100 working-age adults)	Score
1	Pathum Thani	36.02	95.6
2	Sakon Nakhon	37.3	90
3	Rayong	37.33	89.9
4	Udon Thani	37.55	88.9
5	Nakhon Phanom	37.6	88.7

Lowest scorers

Rank	Province	Raw value (per 100 working-age adults)	Score
77	Tak	56.83	5.1
76	Pattani	50.73	31.6
75	Yala	49.84	35.5
74	Mae Hong Son	48.61	40.8
73	Sing Buri	47.95	43.7

Show all 77 provinces rankedSorted highest to lowest score

Rank	Province	Raw value (per 100 working-age adults)	Score
1	Pathum Thani	36.02	95.6
2	Sakon Nakhon	37.3	90
3	Rayong	37.33	89.9
4	Udon Thani	37.55	88.9
5	Nakhon Phanom	37.6	88.7
6	Mukdahan	37.65	88.5
7	Bueng Kan	37.65	88.5
8	Samut Prakan	37.68	88.3
9	Phuket	37.97	87.1
10	Kalasin	38.04	86.8
11	Chon Buri	38.27	85.8
12	Nong Bua Lam Phu	38.34	85.5
13	Ubon Ratchathani	38.92	83
14	Nong Khai	39.1	82.2
15	Roi Et	39.22	81.7
16	Amnat Charoen	39.32	81.2
17	Yasothon	39.34	81.1
18	Maha Sarakham	39.48	80.5
19	Nonthaburi	39.72	79.5
20	Si Sa Ket	39.75	79.3
21	Samut Sakhon	39.99	78.3
22	Sa Kaeo	40.29	77
23	Saraburi	40.33	76.8
24	Buri Ram	40.37	76.7
25	Khon Kaen	40.44	76.4
26	Krabi	40.54	75.9
27	Nakhon Ratchasima	40.84	74.6
28	Nakhon Pathom	40.86	74.5
29	Surin	41.06	73.6
30	Trang	41.15	73.3
31	Phra Nakhon Si Ayutthaya	41.17	73.2
32	Prachin Buri	41.23	72.9
33	Surat Thani	41.6	71.3
34	Kanchanaburi	41.62	71.2
35	Chachoengsao	41.7	70.9
36	Bangkok	42.02	69.5
37	Kamphaeng Phet	42.03	69.4
38	Chaiyaphum	42.04	69.4
39	Lopburi	42.05	69.3
40	Phetchabun	42.35	68
41	Prachuap Khiri Khan	42.43	67.7
42	Loei	42.75	66.3
43	Chumphon	43.02	65.1
44	Phitsanulok	43.08	64.9
45	Phetchaburi	43.19	64.4
46	Satun	43.22	64.2
47	Ranong	43.24	64.2
48	Songkhla	43.27	64
49	Ratchaburi	43.32	63.8
50	Trat	43.42	63.4
51	Sukhothai	43.42	63.4
52	Phangnga	43.64	62.4
53	Chanthaburi	43.68	62.3
54	Nakhon Si Thammarat	43.74	62
55	Uttaradit	43.81	61.7
56	Nakhon Nayok	44.18	60.1
57	Phatthalung	44.2	60
58	Suphan Buri	44.49	58.8
59	Nakhon Sawan	44.51	58.7
60	Phichit	44.56	58.4
61	Phayao	44.6	58.3
62	Nan	45	56.5
63	Phrae	45.2	55.7
64	Chiang Rai	45.24	55.5
65	Uthai Thani	45.43	54.7
66	Ang Thong	45.43	54.6
67	Chiang Mai	46.06	51.9
68	Lampang	46.09	51.8
69	Samut Songkhram	46.24	51.1
70	Chai Nat	46.69	49.2
71	Narathiwat	46.8	48.7
72	Lamphun	47.81	44.3
73	Sing Buri	47.95	43.7
74	Mae Hong Son	48.61	40.8
75	Yala	49.84	35.5
76	Pattani	50.73	31.6
77	Tak	56.83	5.1

Methodology

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

Cite as: "Provincial Dependency Ratio." Thailand Livability Index, 2026. CC BY-NC 4.0.

Other indicators in Demographics & Scale

Provincial Population Density (Persons Per Square Kilometre)persons/km²Department of Provincial Administration (DOPA)

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