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Indicator · TLI ind_seven_eleven_per_10k

7-Eleven Stores Per 10,000 Population

จำนวนร้าน 7-Eleven ต่อประชากร 10,000 คน

AS OF 4 MAY 2026stores per 10k residentsWeight 0.5

Source

CP All / 7-Eleven Thailand store-locator API

CP All's store-locator API for 7-Eleven Thailand. 9,447 stores across all 77 provinces (2026-05-04 pull). Quarterly refresh on 5 January, April, July, and October.

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
5stores per 10k residents
Score 0
0stores per 10k residents
Direction
Higher is better
Anchor
Fitted to the Thai provincial distribution

Goalposts of 0 and 5 stores per 10,000 residents are fitted to the observed Thai distribution across 9,447 stores (2026-05-04 pull, 100 percent ADM3 coverage). Bangkok clips at the ceiling at 5.835 stores per 10,000; one of seventy-seven provinces clips. The indicator is held out of the v1.0 scored set and presented as a supplementary cultural-density signal. Spearman correlation against population density is 0.339; against walkability, 0.148.

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

Which Thai province leads on 7-Eleven Stores Per 10,000 Population?

Bangkok leads Thailand on 7-Eleven Stores Per 10,000 Population with a raw value of 5.84 stores per 10k residents, earning the maximum TLI score of 100/100. The bottom of the distribution is Bueng Kan (0.1 stores per 10k residents, score 1.9/100).

Coverage

77 of 77 Thai provinces. Median score: 14.1. 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 stores per 10k residents.Scorenormalized 0–100 against fixed methodology goalposts (not a percentile). Higher is better.

Top scorers

RankProvinceRaw value (stores per 10k residents)Score
1Bangkok5.835100
2Nonthaburi4.85597.1
3Phuket4.53290.6
4Samut Sakhon3.23564.7
5Samut Prakan3.10762.1

Lowest scorers

RankProvinceRaw value (stores per 10k residents)Score
77Bueng Kan0.0961.9
76Mukdahan0.1142.3
75Nong Bua Lam Phu0.1994
74Sakon Nakhon0.2565.1
73Amnat Charoen0.275.4
Show all 77 provinces rankedSorted highest to lowest score
RankProvinceRaw value (stores per 10k residents)Score
1Bangkok5.835100
2Nonthaburi4.85597.1
3Phuket4.53290.6
4Samut Sakhon3.23564.7
5Samut Prakan3.10762.1
6Nakhon Pathom2.89357.9
7Pathum Thani2.78555.7
8Chon Buri2.55251
9Samut Songkhram2.42948.6
10Phra Nakhon Si Ayutthaya2.26145.2
11Chiang Mai1.85137
12Saraburi1.78535.7
13Phetchaburi1.65233
14Ratchaburi1.43928.8
15Ang Thong1.34927
16Rayong1.34226.8
17Chanthaburi1.28825.8
18Chachoengsao1.26825.4
19Lamphun1.24124.8
20Sing Buri1.16123.2
21Krabi1.11422.3
22Nakhon Nayok1.0420.8
23Lopburi1.03920.8
24Kanchanaburi0.95919.2
25Songkhla0.91718.3
26Chumphon0.90818.2
27Ranong0.88317.7
28Surat Thani0.87417.5
29Phichit0.85717.1
30Suphan Buri0.85617.1
31Trat0.84216.8
32Phitsanulok0.83816.8
33Trang0.80516.1
34Phrae0.76715.3
35Lampang0.74514.9
36Prachuap Khiri Khan0.72514.5
37Yala0.71914.4
38Prachin Buri0.71714.3
39Sukhothai0.70314.1
40Uthai Thani0.6913.8
41Chai Nat0.67413.5
42Pattani0.67113.4
43Phangnga0.60212
44Phayao0.59711.9
45Nakhon Sawan0.58511.7
46Nan0.57611.5
47Nakhon Si Thammarat0.56211.2
48Udon Thani0.56211.2
49Tak0.55411.1
50Maha Sarakham0.54110.8
51Uttaradit0.53110.6
52Chiang Rai0.50210
53Khon Kaen0.4879.7
54Sa Kaeo0.4819.6
55Nakhon Ratchasima0.4789.6
56Nong Khai0.479.4
57Phatthalung0.4639.3
58Si Sa Ket0.4599.2
59Kamphaeng Phet0.4599.2
60Loei0.4458.9
61Phetchabun0.438.6
62Kalasin0.4288.6
63Nakhon Phanom0.4248.5
64Yasothon0.4218.4
65Buri Ram0.418.2
66Roi Et0.418.2
67Ubon Ratchathani0.3977.9
68Surin0.3847.7
69Satun0.377.4
70Narathiwat0.357
71Mae Hong Son0.3126.2
72Chaiyaphum0.2915.8
73Amnat Charoen0.275.4
74Sakon Nakhon0.2565.1
75Nong Bua Lam Phu0.1994
76Mukdahan0.1142.3
77Bueng Kan0.0961.9

Methodology

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

Cite as: "7-Eleven Stores Per 10,000 Population." Thailand Livability Index, 2026. CC BY-NC 4.0.

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