Indicator · TLI ind_hospital_beds_per_1k

Registered Hospital Beds Per 1,000 Provincial Population

จำนวนเตียงโรงพยาบาลต่อประชากร 1,000 คน

AS OF 1 DEC 2025 beds/1k pop Weight 1

Source

Thai Ministry of Public Health facility registry covering every hospital in the country. Refresh: annual; the registry changes when hospitals open or close.

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: 4.5 beds/1k pop
Score 0: 1 beds/1k pop
Direction: Higher is better
Anchor: Hybrid: international anchor and Thai distribution · WHO and OECD reference lines on methodology page

The score-100 ceiling of 4.5 beds per 1,000 residents tracks the upper Thai distribution; the OECD average of approximately 4.7 sits above the ceiling and clips to 100. The score-zero floor was softened on 2026-05-05 from 1.5 to 1.0 because the prior floor pinned Nong Bua Lam Phu at exactly zero, propagating to a composite zero and implying an absolute unlivable verdict the v1.0 framing constraint forbids. Under the softened floor Nong Bua Lam Phu now scores 13.1.

Live distribution: 1 of 77 provinces clip at the score-100 ceiling .

Which Thai province leads on Registered Hospital Beds Per 1,000 Provincial Population?

Bangkok leads Thailand on Registered Hospital Beds Per 1,000 Provincial Population with a raw value of 6.27 beds/1k pop, earning the maximum TLI score of 100/100. The bottom of the distribution is Nong Bua Lam Phu (1.46 beds/1k pop, score 13.1/100).

Coverage

77 of 77 Thai provinces. Median score: 39.1. 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 beds/1k pop. Score normalized 0–100 against fixed methodology goalposts (not a percentile). Higher is better.

Top scorers

Rank	Province	Raw value (beds/1k pop)	Score
1	Bangkok	6.27	100
2	Chiang Mai	4.17	90.6
3	Samut Sakhon	3.96	84.6
4	Nakhon Nayok	3.64	75.4
5	Nonthaburi	3.61	74.6

Lowest scorers

Rank	Province	Raw value (beds/1k pop)	Score
77	Nong Bua Lam Phu	1.46	13.1
76	Kamphaeng Phet	1.51	14.6
75	Pattani	1.55	15.7
74	Maha Sarakham	1.6	17.1
73	Mae Hong Son	1.65	18.6

Show all 77 provinces ranked Sorted highest to lowest score

Rank	Province	Raw value (beds/1k pop)	Score
1	Bangkok	6.27	100
2	Chiang Mai	4.17	90.6
3	Samut Sakhon	3.96	84.6
4	Nakhon Nayok	3.64	75.4
5	Nonthaburi	3.61	74.6
6	Chon Buri	3.52	72
7	Samut Prakan	3.49	71.1
8	Phuket	3.45	70
9	Saraburi	3.39	68.3
10	Sing Buri	3.38	68
11	Nakhon Pathom	3.32	66.3
12	Rayong	3.13	60.9
13	Pathum Thani	3.04	58.3
14	Trat	3.01	57.4
15	Surat Thani	3	57.1
16	Ratchaburi	2.99	56.9
17	Songkhla	2.97	56.3
18	Chanthaburi	2.91	54.6
19	Lamphun	2.87	53.4
20	Phitsanulok	2.84	52.6
21	Prachin Buri	2.8	51.4
22	Prachuap Khiri Khan	2.77	50.6
23	Khon Kaen	2.75	50
24	Lopburi	2.7	48.6
25	Ang Thong	2.68	48
26	Chumphon	2.63	46.6
27	Samut Songkhram	2.51	43.1
28	Trang	2.5	42.9
29	Uttaradit	2.49	42.6
30	Uthai Thani	2.46	41.7
31	Nakhon Si Thammarat	2.43	40.9
32	Suphan Buri	2.41	40.3
33	Lampang	2.4	40
34	Phrae	2.4	40
35	Ubon Ratchathani	2.4	40
36	Chachoengsao	2.38	39.4
37	Nakhon Ratchasima	2.37	39.1
38	Nan	2.37	39.1
39	Mukdahan	2.37	39.1
40	Phangnga	2.35	38.6
41	Nong Khai	2.35	38.6
42	Sa Kaeo	2.35	38.6
43	Phra Nakhon Si Ayutthaya	2.31	37.4
44	Nakhon Sawan	2.31	37.4
45	Kanchanaburi	2.26	36
46	Tak	2.25	35.7
47	Chiang Rai	2.21	34.6
48	Krabi	2.2	34.3
49	Phayao	2.2	34.3
50	Sakon Nakhon	2.17	33.4
51	Loei	2.16	33.1
52	Yala	2.16	33.1
53	Phetchaburi	2.14	32.6
54	Udon Thani	2.14	32.6
55	Surin	2.13	32.3
56	Sukhothai	2.08	30.9
57	Chai Nat	2.05	30
58	Chaiyaphum	2.02	29.1
59	Phichit	2.01	28.9
60	Narathiwat	2.01	28.9
61	Ranong	2	28.6
62	Kalasin	1.94	26.9
63	Satun	1.93	26.6
64	Roi Et	1.92	26.3
65	Phatthalung	1.91	26
66	Buri Ram	1.86	24.6
67	Yasothon	1.84	24
68	Amnat Charoen	1.79	22.6
69	Nakhon Phanom	1.77	22
70	Phetchabun	1.77	22
71	Si Sa Ket	1.73	20.9
72	Bueng Kan	1.66	18.9
73	Mae Hong Son	1.65	18.6
74	Maha Sarakham	1.6	17.1
75	Pattani	1.55	15.7
76	Kamphaeng Phet	1.51	14.6
77	Nong Bua Lam Phu	1.46	13.1

Methodology

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

Cite as: "Registered Hospital Beds Per 1,000 Provincial Population." Thailand Livability Index, 2026. CC BY-NC 4.0.

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