Pulled · Data Report
The Pulled Coffee Density Index 2026
An analysis of 546,496 active coffee shops across 41,102 cities in 25 countries. The first global ranking of coffee density that uses operational shop data instead of survey estimates.
By the Pulled Editorial Team · Published 2026-05-13
The world has more coffee shops than ever. That much is obvious. What is less obvious is which cities have built genuine coffee infrastructure and which ones are coasting on a Starbucks footprint. Pulled has indexed 546,496 active coffee shops across 25 countries to answer a specific question: where is coffee a city’s identity, not a corporate import?
The answer surprised the team. By shops per 100,000 residents, the United States does not produce a single entry in the global top ten. The first US city, Austin, ranks #13. The cities above it are mostly European, Mediterranean, and Pacific. Lisbon, Vancouver, Rome, Paris, Copenhagen, Madrid, Dublin, Prague, Tel Aviv, and Vienna all appear in the top fifteen.
This report is the first quarterly Pulled Coffee Density Index. It draws on Pulled’s operational database of every coffee shop the team has indexed, classifies shops as specialty, cafe, or chain, calculates density against verified population, and surfaces the rankings. Methodology, data downloads, and the full dataset live at the bottom of the page.
v1 data note: Pulled’s shop database aggregates at city level, mixing administrative-city and metropolitan footprints across the catalog. v1 of this index pairs those counts with administrative-city-proper populations to keep the math transparent, which produces densities above 1,000 shops per 100,000 in a handful of cities where the shop catalog spans the broader metro area (Melbourne, Lisbon, Vancouver). v2 will normalize populations and shop catalogs to a common metro footprint.
Section 1
The Global 100
The headline ranking. Cities ordered by coffee shops per 100,000 residents. Where you choose to live shapes how often you order coffee at a place that knows you. The top of this list is where that’s most likely.
| Rank | City | Country | Per 100k | Shops | Population |
|---|---|---|---|---|---|
| #1 | Melbourne | AU | 5,029.41 | 8,550 | 170,000 |
| #2 | Lisbon | PT | 1,611.74 | 8,784 | 545,000 |
| #3 | Vancouver | CA | 1,004.57 | 7,032 | 700,000 |
| #4 | Rome | IT | 758.47 | 20,858 | 2,750,000 |
| #5 | Paris | FR | 618.57 | 12,990 | 2,100,000 |
| #6 | Copenhagen | DK | 545.91 | 3,603 | 660,000 |
| #7 | Madrid | ES | 504.25 | 16,741 | 3,320,000 |
| #8 | Dublin | IE | 309.49 | 1,826 | 590,000 |
| #9 | Prague | CZ | 210.92 | 2,742 | 1,300,000 |
| #10 | Tel Aviv | IL | 199.57 | 918 | 460,000 |
| #11 | Vienna | AT | 151.79 | 2,975 | 1,960,000 |
| #12 | London | GB | 140.77 | 12,641 | 8,980,000 |
| #13 | Austin | US | 134.39 | 1,317 | 980,000 |
| #14 | Edinburgh | GB | 113.52 | 596 | 525,000 |
| #15 | San Francisco | US | 102.21 | 833 | 815,000 |
| #16 | Seattle | US | 101.33 | 760 | 750,000 |
| #17 | Portland | US | 83.08 | 540 | 650,000 |
| #18 | Helsinki | FI | 68.12 | 453 | 665,000 |
| #19 | Manchester | GB | 59.1 | 328 | 555,000 |
| #20 | Bangkok | TH | 56.43 | 5,982 | 10,600,000 |
| #21 | Glasgow | GB | 55.12 | 350 | 635,000 |
| #22 | Trieste | IT | 51.5 | 103 | 200,000 |
| #23 | Denver | US | 50.84 | 364 | 716,000 |
| #24 | Minneapolis | US | 50.12 | 213 | 425,000 |
| #25 | Dubai | AE | 48.88 | 1,706 | 3,490,000 |
| #26 | Milan | IT | 48.71 | 682 | 1,400,000 |
| #27 | Berlin | DE | 46.11 | 1,697 | 3,680,000 |
| #28 | Washington | US | 44.52 | 317 | 712,000 |
| #29 | Mumbai | IN | 42.17 | 5,246 | 12,440,000 |
| #30 | Boston | US | 38.22 | 258 | 675,000 |
| #31 | Athens | GR | 37.29 | 248 | 665,000 |
| #32 | Tokyo | JP | 37.22 | 5,196 | 13,960,000 |
| #33 | Reykjavik | IS | 36.43 | 51 | 140,000 |
| #34 | Chicago | US | 36.09 | 960 | 2,660,000 |
| #35 | Singapore | SG | 31.33 | 1,786 | 5,700,000 |
| #36 | Oslo | NO | 31.14 | 218 | 700,000 |
| #37 | Stockholm | SE | 29.69 | 291 | 980,000 |
| #38 | San Diego | US | 25.76 | 358 | 1,390,000 |
| #39 | Cape Town | ZA | 24.85 | 1,148 | 4,620,000 |
| #40 | Barcelona | ES | 17.8 | 292 | 1,640,000 |
| #41 | Toronto | CA | 17.58 | 515 | 2,930,000 |
| #42 | New York | US | 16.05 | 1,326 | 8,260,000 |
| #43 | Seoul | KR | 12.79 | 1,241 | 9,700,000 |
| #44 | Los Angeles | US | 10.97 | 428 | 3,900,000 |
| #45 | Amsterdam | NL | 8.62 | 78 | 905,000 |
| #46 | Montreal | CA | 4.07 | 74 | 1,820,000 |
| #47 | Budapest | HU | 4 | 68 | 1,700,000 |
| #48 | Buenos Aires | AR | 2.18 | 68 | 3,120,000 |
| #49 | Sydney | AU | 1.49 | 80 | 5,360,000 |
| #50 | São Paulo | BR | 1.42 | 175 | 12,330,000 |
| #51 | Istanbul | TR | 0.75 | 117 | 15,510,000 |
| #52 | Shanghai | CN | 0.68 | 168 | 24,870,000 |
| #53 | Mexico City | MX | 0.39 | 36 | 9,210,000 |
| #54 | Beijing | CN | 0.2 | 43 | 21,540,000 |
Section 2
The Specialty Index
What share of a city’s coffee shops are classified as specialty by Pulled. Cape Town, Tokyo, and Bangkok lead the field. Melbourne and London sit mid-pack despite their reputations because their absolute shop counts are large enough to dilute the share.
| Rank | City | Country | Specialty % | Shops | Specialty |
|---|---|---|---|---|---|
| #1 | Cape Town | ZA | 52% | 1,148 | 597 |
| #2 | Tokyo | JP | 50.75% | 5,196 | 2,637 |
| #3 | Bangkok | TH | 49.4% | 5,986 | 2,957 |
| #4 | Tel Aviv | IL | 49.09% | 929 | 456 |
| #5 | Toronto | CA | 47.22% | 449 | 212 |
| #6 | Singapore | SG | 45.3% | 1,786 | 809 |
| #7 | Barcelona | ES | 42.07% | 290 | 122 |
| #8 | Austin | US | 42.07% | 1,317 | 554 |
| #9 | Glasgow | GB | 41.91% | 346 | 145 |
| #10 | Manchester | GB | 40.3% | 268 | 108 |
| #11 | Denver | US | 39.29% | 364 | 143 |
| #12 | Dublin | IE | 39% | 1,795 | 700 |
| #13 | Minneapolis | US | 38.97% | 213 | 83 |
| #14 | Edinburgh | GB | 38.42% | 596 | 229 |
| #15 | Mumbai | IN | 37.06% | 5,246 | 1,944 |
| #16 | Montreal | CA | 36.96% | 303 | 112 |
| #17 | Melbourne | AU | 34.62% | 8,529 | 2,953 |
| #18 | Portland | US | 33.58% | 539 | 181 |
| #19 | London | GB | 31.82% | 12,605 | 4,011 |
| #20 | Boston | US | 31.47% | 232 | 73 |
| #21 | Los Angeles | US | 30.84% | 428 | 132 |
| #22 | San Diego | US | 30.53% | 357 | 109 |
| #23 | Vancouver | CA | 29.83% | 6,908 | 2,061 |
| #24 | Athens | GR | 26.79% | 769 | 206 |
| #25 | Dubai | AE | 26.79% | 1,706 | 457 |
Section 3
Emerging Markets
Growth in specialty shops over the last 24 months, using Pulled’s first-indexed date as a proxy for opening date. Bangkok, Mumbai, Istanbul, and Mexico City turn up alongside the established markets. London leads by absolute count of specialty shops added during the window. Note that this metric tracks how fast Pulled has been able to catalogue the wave, not perfectly when shops opened.
| Rank | City | Country | Added 24m | Specialty |
|---|---|---|---|---|
| #1 | London | GB | 401,100 | 4,011 |
| #2 | Rome | IT | 357,800 | 3,578 |
| #3 | Paris | FR | 317,900 | 3,179 |
| #4 | Bangkok | TH | 295,700 | 2,957 |
| #5 | Melbourne | AU | 295,300 | 2,953 |
| #6 | Tokyo | JP | 263,700 | 2,637 |
| #7 | Madrid | ES | 249,400 | 2,494 |
| #8 | Istanbul | TR | 216,000 | 2,160 |
| #9 | Vancouver | CA | 206,100 | 2,061 |
| #10 | Mumbai | IN | 194,400 | 1,944 |
| #11 | Lisbon | PT | 119,400 | 1,194 |
| #12 | Copenhagen | DK | 85,700 | 857 |
| #13 | Singapore | SG | 80,900 | 809 |
| #14 | Prague | CZ | 70,200 | 702 |
| #15 | Dublin | IE | 70,000 | 700 |
| #16 | Vienna | AT | 62,700 | 627 |
| #17 | Seoul | KR | 61,200 | 612 |
| #18 | Cape Town | ZA | 59,700 | 597 |
| #19 | Austin | US | 55,400 | 554 |
| #20 | Dubai | AE | 45,700 | 457 |
| #21 | Tel Aviv | IL | 45,600 | 456 |
| #22 | New York | US | 29,400 | 294 |
| #23 | Berlin | DE | 27,400 | 274 |
| #24 | Chicago | US | 23,800 | 238 |
| #25 | Edinburgh | GB | 22,900 | 229 |
Section 4
The Outliers
Cities punching above their country’s median. Vancouver is the clearest North American outlier. Canadian coffee density is concentrated in Vancouver and Toronto, with the rest of the country sitting well below. In the United States, Austin, San Francisco, and Seattle outperform the country median by 2x or more. Rome dominates Italy by an order of magnitude.
| Rank | City | Country | vs Country Median | Shops |
|---|---|---|---|---|
| #1 | Vancouver | CA | 57.15x | 7,032 |
| #2 | Rome | IT | 14.73x | 20,858 |
| #3 | Austin | US | 2.84x | 1,317 |
| #4 | San Francisco | US | 2.16x | 833 |
| #5 | Seattle | US | 2.14x | 760 |
Section 5
The Corridor Effect
The Corridor Effect ranks cities by how concentrated their specialty shops are in a small number of neighborhoods, computed as the Gini coefficient of shop distribution across named neighborhoods. The data layer for this ranking depends on neighborhood-tagged shop records, which Pulled is rolling out across the catalog. The Corridor Effect ranking appears in v2 of this report once the tagging completes.
Methodology
How these numbers were computed
This report uses the Pulled Coffee Shop Database (the PCSD), which indexes 546,496 active coffee shops across 41,102 cities. Shops are classified by a multi-signal taxonomy into specialty, cafe, and chain. Per-capita calculations use 2024 estimates for administrative city proper. Only cities with verified population at or above 100,000 are included in density rankings. Growth calculations use Pulled’s first-indexed date as a proxy for opening date. Inactive shops are excluded.
v1 limitations: population data is curated rather than pulled programmatically from UN-DESA. Several cities in the catalog (Melbourne, Lisbon, Vancouver) have shop counts that aggregate across the metro area, producing inflated per-100k densities when paired with city-proper population. v2 will normalize both inputs to a single metro definition.
To cite this report: Pulled Editorial Team. The Pulled Coffee Density Index 2026. 2026-05-13. pulled.coffee/reports/coffee-density-2026
Downloads
