Current Date And Time In India
Sunday, 24 May 2026
09:22:51 IST
Explore comprehensive proximity intelligence for India 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 | |||
| Afghanistan | — | 1,150 mi | 1,851 km | 999 nm | Northwest (NW) | ⬆ |
| Bangladesh | ✓ Yes | 759 mi | 1,222 km | 660 nm | East-northeast (ENE) | ⬆ |
| Bhutan | ✓ Yes | 867 mi | 1,395 km | 753 nm | Northeast (NE) | ⬆ |
| Kyrgyzstan | — | 1,445 mi | 2,326 km | 1,255 nm | North (N) | ⬆ |
| Laos | — | 1,525 mi | 2,455 km | 1,324 nm | East (E) | ⬆ |
| Malaysia | — | 1,916 mi | 3,084 km | 1,664 nm | East-southeast (ESE) | ⬆ |
| Maldives | — | 1,262 mi | 2,031 km | 1,096 nm | South-southwest (SSW) | ⬆ |
 Flag.png){kind=small}
| Myanmar (Burma) | ✓ Yes | 1,097 mi | 1,766 km | 953 nm | East (E) | ⬆ |
| Nepal | ✓ Yes | 629 mi | 1,012 km | 546 nm | North-northeast (NNE) | ⬆ |
| Oman | — | 1,486 mi | 2,391 km | 1,290 nm | West (W) | ⬆ |
| Pakistan | ✓ Yes | 903 mi | 1,453 km | 784 nm | Northwest (NW) | ⬆ |
| Seychelles | — | 2,363 mi | 3,803 km | 2,052 nm | Southwest (SW) | ⬆ |
| Singapore | — | 2,140 mi | 3,443 km | 1,858 nm | Southeast (SE) | ⬆ |
| Sri Lanka | — | 887 mi | 1,428 km | 770 nm | South (S) | ⬆ |
| Tajikistan | — | 1,342 mi | 2,160 km | 1,166 nm | North-northwest (NNW) | ⬆ |
| Thailand | — | 1,481 mi | 2,383 km | 1,286 nm | East (E) | ⬆ |
| Turkmenistan | — | 1,715 mi | 2,759 km | 1,489 nm | Northwest (NW) | ⬆ |
| Uzbekistan | — | 1,664 mi | 2,678 km | 1,445 nm | North-northwest (NNW) | ⬆ |
Compare the current local time in India (UTC+05:30) with all surrounding countries. This India 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 India and its neighboring countries — an essential tool for travelers, businesses and anyone communicating across time zones near India.
| Flag | Country | Timezone (UTC) | Time Difference |
|---|---|---|---|
 | India (You) | +05:30 | — |
| Afghanistan | +04:30 | -1h (behind) |
| Bangladesh | +06:00 | +0h 30m (ahead) |
| Bhutan | +06:00 | +0h 30m (ahead) |
| Kyrgyzstan | +05:00 to +06:00 | -0h 30m (behind) |
| Laos | +07:00 | +1h 30m (ahead) |
| Malaysia | +08:00 | +2h 30m (ahead) |
| Maldives | +05:00 | -0h 30m (behind) |
| Myanmar (Burma) | +06:30 | +1h (ahead) |
| Nepal | +05:45 | +0h 15m (ahead) |
| Oman | +04:00 | -1h 30m (behind) |
| Pakistan | +05:00 | -0h 30m (behind) |
| Seychelles | +04:00 | -1h 30m (behind) |
| Singapore | +08:00 | +2h 30m (ahead) |
| Sri Lanka | +05:30 | Same time |
| Tajikistan | +05:00 | -0h 30m (behind) |
| Thailand | +07:00 | +1h 30m (ahead) |
| Turkmenistan | +05:00 | -0h 30m (behind) |
| Uzbekistan | +05:00 | -0h 30m (behind) |
See how the India currency — Indian rupee (INR) — compares against the currencies of all nearby countries. This INR exchange rate comparison is useful for cross-border shopping, regional trade, import/export pricing, travel budget planning and investment research. Understand how much Indian rupee (INR) is worth in neighboring countries and evaluate currency strength across the region surrounding India.
| Flag | Country | Currency | ₹ 1 Equals |
|---|---|---|---|
| Afghanistan | Afghan afghani (؋) | ؋ 0.6531 |
| Bangladesh | Bangladeshi taka (৳) | ৳ 1.283 |
| Bhutan | Bhutanese ngultrum (Nu.) | Nu. 0.9984 |
| Kyrgyzstan | Kyrgyzstani som (c) | c 0.9138 |
| Laos | Lao kip (₭) | ₭ 228.7746 |
| Malaysia | Malaysian ringgit (RM) | RM 0.0415 |
| Maldives | Maldivian rufiyaa (.ރ) | .ރ 0.1609 |
| Myanmar (Burma) | Burmese kyat (Ks) | Ks 21.9415 |
| Nepal | Nepalese rupee (₨) | ₨ 1.5974 |
| Oman | Omani rial (ر.ع.) | ر.ع. 0.004 |
| Pakistan | Pakistani rupee (₨) | ₨ 2.9063 |
| Seychelles | Seychellois rupee (₨) | ₨ 0.1432 |
| Singapore | Singapore dollar ($) | $ 0.0134 |
| Sri Lanka | Sri Lankan rupee (Rs) | Rs 3.4917 |
| Tajikistan | Tajikistani somoni (SM) | SM 0.097 |
| Thailand | Thai baht (฿) | ฿ 0.3428 |
| Turkmenistan | Turkmenistan manat (m) | m 0.0366 |
| Uzbekistan | Uzbekistani som (so'm) | so'm 125.2452 |
Compare the population, total land area and population density of India against its neighboring countries. This India 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 India ranks in size and population among its neighbors.
| Flag | Country | Population | Area (km²) | Density (per km²) |
|---|---|---|---|---|
| India (You) | 1,447,747,932 | 2,973,190 | 486.93 |
| Afghanistan | 42,749,854 | 652,230 | 65.54 |
| Bangladesh | 173,162,807 | 130,168 | 1,330.30 |
| Bhutan | 789,940 | 38,394 | 20.57 |
| Kyrgyzstan | 7,201,100 | 191,801 | 37.54 |
| Laos | 7,787,690 | 230,800 | 33.74 |
| Malaysia | 35,483,028 | 329,613 | 107.65 |
| Maldives | 526,321 | 298 | 1,766.18 |
| Myanmar (Burma) | 54,647,250 | 653,508 | 83.62 |
| Nepal | 29,591,797 | 143,351 | 206.43 |
| Oman | 5,295,800 | 309,500 | 17.11 |
| Pakistan | 250,515,193 | 881,912 | 284.06 |
| Seychelles | 130,065 | 455 | 285.86 |
| Singapore | 5,846,387 | 687 | 8,510.02 |
| Sri Lanka | 23,154,427 | 62,732 | 369.10 |
| Tajikistan | 10,622,672 | 141,510 | 75.07 |
| Thailand | 71,517,497 | 510,890 | 139.99 |
| Turkmenistan | 7,477,262 | 469,930 | 15.91 |
| Uzbekistan | 36,438,259 | 425,400 | 85.66 |
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.