Current Date And Time In Hong Kong
Monday, 15 June 2026
11:37:48 HKT
Explore comprehensive proximity intelligence for Hong Kong with accurate distance calculations, directional bearings and geographic positioning relative to neighboring countries. Access precise aerial distance measurements in miles, kilometers and nautical miles, plus exact compass heading directions for logistics planning, flight route optimization, shipping calculations and strategic business expansion across border regions.
Benefits for Professionals: Cross-border trade logistics • International shipping route planning • Flight distance calculations and fuel estimates • Market expansion territory analysis • Regional supply chain optimization • Border checkpoint proximity • Transportation cost modeling • Multi-country distribution networks • Strategic location intelligence for regional operations
| Flag | Country | Border | Distance | Direction | |||
|---|---|---|---|---|---|---|---|
| Miles (mi) | Kilometers (km) | Nautical Miles (nm) | Heading | Symbol | |||
| Brunei | — | 1,235 mi | 1,987 km | 1,072 nm | South (S) | ⬆ |
| Cambodia | — | 906 mi | 1,458 km | 787 nm | Southwest (SW) | ⬆ |
| China | ✓ Yes | 1,105 mi | 1,778 km | 959 nm | North-northwest (NNW) | ⬆ |
| Laos | — | 769 mi | 1,237 km | 667 nm | West (W) | ⬆ |
| Macau | — | 39 mi | 62 km | 34 nm | West-southwest (WSW) | ⬆ |
| Malaysia | — | 1,496 mi | 2,407 km | 1,299 nm | Southwest (SW) | ⬆ |
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| Myanmar (Burma) | — | 1,161 mi | 1,869 km | 1,009 nm | West (W) | ⬆ |
| North Korea | — | 1,466 mi | 2,360 km | 1,273 nm | North-northeast (NNE) | ⬆ |
| Palau | — | 1,706 mi | 2,746 km | 1,481 nm | Southeast (SE) | ⬆ |
| Philippines | — | 828 mi | 1,333 km | 719 nm | Southeast (SE) | ⬆ |
| South Korea | — | 1,242 mi | 1,999 km | 1,079 nm | Northeast (NE) | ⬆ |
| Taiwan | — | 445 mi | 716 km | 386 nm | East-northeast (ENE) | ⬆ |
| Thailand | — | 967 mi | 1,556 km | 840 nm | West-southwest (WSW) | ⬆ |
| Vietnam | — | 691 mi | 1,113 km | 600 nm | Southwest (SW) | ⬆ |
Compare the current local time in Hong Kong (UTC+08:00) with all surrounding countries. This Hong Kong timezone difference calculator helps you schedule international calls, coordinate cross-border meetings, manage remote teams and align business hours across borders. Instantly find the time difference between Hong Kong and its neighboring countries — an essential tool for travelers, businesses and anyone communicating across time zones near Hong Kong.
| Flag | Country | Timezone (UTC) | Time Difference |
|---|---|---|---|
 | Hong Kong (You) | +08:00 | — |
| Brunei | +08:00 | Same time |
| Cambodia | +07:00 | -1h (behind) |
| China | +08:00 | Same time |
| Laos | +07:00 | -1h (behind) |
| Macau | +08:00 | Same time |
| Malaysia | +08:00 | Same time |
| Myanmar (Burma) | +06:30 | -1h 30m (behind) |
| North Korea | +08:30 | +0h 30m (ahead) |
| Palau | +09:00 | +1h (ahead) |
| Philippines | +08:00 | Same time |
| South Korea | +09:00 | +1h (ahead) |
| Taiwan | +08:00 | Same time |
| Thailand | +07:00 | -1h (behind) |
| Vietnam | +07:00 | -1h (behind) |
See how the Hong Kong currency — Hong Kong dollar (HKD) — compares against the currencies of all nearby countries. This HKD exchange rate comparison is useful for cross-border shopping, regional trade, import/export pricing, travel budget planning and investment research. Understand how much Hong Kong dollar (HKD) is worth in neighboring countries and evaluate currency strength across the region surrounding Hong Kong.
| Flag | Country | Currency | $ 1 Equals |
|---|---|---|---|
| Brunei | Brunei dollar ($) | $ 0.1638 |
| Cambodia | Cambodian riel (៛) | ៛ 512.4957 |
| China | Chinese yuan (¥) | ¥ 0.8641 |
| Laos | Lao kip (₭) | ₭ 2810.0677 |
| Macau | Macanese pataca (P) | P 1.0299 |
| Malaysia | Malaysian ringgit (RM) | RM 0.5178 |
| Myanmar (Burma) | Burmese kyat (Ks) | Ks 267.9848 |
| North Korea | North Korean won (₩) | ₩ 114.861 |
| Palau | United States dollar ($) | $ 0.1276 |
| Philippines | Philippine piso (₱) | ₱ 7.754 |
| South Korea | South Korean won (₩) | ₩ 193.7572 |
| Taiwan | New Taiwan dollar ($) | $ 4.0359 |
| Thailand | Thai baht (฿) | ฿ 4.1947 |
| Vietnam | Vietnamese dong (₫) | ₫ 3357.4646 |
Compare the population, total land area and population density of Hong Kong against its neighboring countries. This Hong Kong size and population comparison provides key geographic and demographic data — including total area in km², overall population figures and people per km² — essential for regional market research, urban planning studies, geopolitical analysis and understanding how Hong Kong ranks in size and population among its neighbors.
| Flag | Country | Population | Area (km²) | Density (per km²) |
|---|---|---|---|---|
| Hong Kong (You) | 7,429,739 | 1,106 | 6,717.67 |
| Brunei | 463,831 | 5,265 | 88.10 |
| Cambodia | 17,686,424 | 176,515 | 100.20 |
| China | 1,415,771,700 | 9,326,410 | 151.80 |
| Laos | 7,787,690 | 230,800 | 33.74 |
| Macau | 718,677 | 28 | 25,485.00 |
| Malaysia | 35,483,028 | 329,613 | 107.65 |
| Myanmar (Burma) | 54,647,250 | 653,508 | 83.62 |
| North Korea | 26,559,747 | 120,538 | 220.34 |
| Palau | 17,746 | 459 | 38.66 |
| Philippines | 115,565,974 | 298,170 | 387.58 |
| South Korea | 51,872,752 | 99,909 | 519.20 |
| Taiwan | 23,149,000 | 32,260 | 717.58 |
| Thailand | 71,517,497 | 510,890 | 139.99 |
| Vietnam | 100,695,134 | 310,070 | 324.75 |
Our proximity intelligence database provides precise aerial distance measurements between country geographic centers using Great Circle calculations (Haversine formula) which represents the shortest distance across Earth's surface. Distances are provided in three industry-standard units: Miles (imperial) for US operations, Kilometers (metric) for international logistics and Nautical Miles for aviation and maritime transport. Directional compass bearings use 16-point cardinal direction system with precise degree measurements for navigation and route planning accuracy.
Regional proximity data enables competitive market analysis, cross-border consumer targeting, and strategic partnership identification. Businesses use this intelligence for regional pricing strategies, distribution territory mapping, and franchise location planning. Market researchers analyze proximity patterns to identify regional trade blocs, cultural similarity zones, and economic cooperation opportunities. The data supports risk assessment for political stability spillover, and opportunity analysis for regional supply chain integration.
Aviation professionals use nautical mile measurements for precise flight planning, fuel calculations, and route optimization. The data enables airport hub analysis, regional airline route development, and private aviation trip planning. Charter companies utilize proximity intelligence for multi-country itinerary design, fuel stop planning, and overflight permit requirements. Airlines analyze neighboring countries for alternative landing sites, emergency diversion airports, and regional service expansion opportunities.
Understanding neighborhood geography is crucial for regional trade agreement analysis, free trade zone participation, and economic bloc membership evaluation. Proximity drives labor market integration, cross-border employment patterns, and migration flow analysis. Investment firms use this data for regional portfolio diversification, political risk correlation assessment, and currency exposure management. The information supports infrastructure development planning including cross-border highways, railways and pipeline projects.
Geographic proximity influences diplomatic relations, security alliances, and regional cooperation frameworks. Businesses leverage proximity data for regional headquarters location selection, satellite office placement, and sales territory design. Real estate developers analyze cross-border accessibility for commercial property investment, industrial park development, and special economic zone planning. Tourism operators use proximity intelligence for multi-country tour packages, visa requirement planning, and regional destination marketing.
Disclaimer We can not guarantee that the information on this page is 100% correct.