Air Cargo Loaded By Region/Country Of Destination, Monthly
What this data shows
Published by Singapore Department of Statistics. 21 records. Fields include Data Series, 2025 Jul, 2025 Jun, 2025 May (476 columns in total). Covers 1986-01-01 to 2025-07-01. Last updated 2025-08-29.
Description
Monthly air cargo loaded at Changi Airport by region and selected destination countries from 1986 through July 2025, published by the Singapore Department of Statistics from Civil Aviation Authority of Singapore data. Excludes passenger baggage and diplomatic cargo; country breakdowns may not sum to regional totals. Supports aviation trade and logistics analysis.
Official description
Source: CIVIL AVIATION AUTHORITY OF SINGAPORE Data Last Updated: 29/08/2025 Update Frequency: Monthly Footnotes: Refers to Changi Airport only. Data exclude passenger baggage, diplomatic cargo and aircraft stores. Data breakdown is only available for the 11 countries listed above, and they do not sum up to the total of the respective regions. Data provided are based on flight origin/destination. Adapted from: https://tablebuilder.singstat.gov.sg/table/TS/M651231
- Last updated
- Coverage
- 1986-01-01 – 2025-07-01
- Rows
- 21
- Columns
- 476
Chart
Values are summed where multiple rows share the same category.
Data
| Data Series | 2025 Jul | 2025 Jun | 2025 May | 2025 Apr | 2025 Mar | 2025 Feb | 2025 Jan | 2024 Dec | 2024 Nov | 2024 Oct | 2024 Sep |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Total | 81787.940000 | 79987.270000 | 80434.910000 | 77993.070000 | 80514.380000 | 65802.260000 | 72650.650000 | 79791.680000 | 79804.130000 | 82805.450000 | 80169.400000 |
| South East Asia | 16328.450000 | 15110.540000 | 15999.770000 | 15774.120000 | 16048.050000 | 15297.870000 | 15901.010000 | 16778.010000 | 17248.960000 | 16704.690000 | 15997.760000 |
| Not Stated | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 |
| Indonesia | 3856.430000 | 3807.940000 | 4105.410000 | 4014.020000 | 4590.330000 | 3859.550000 | 3707.860000 | 4635.650000 | 4386.660000 | 3990.590000 | 4042.690000 |
| Malaysia | 2601.920000 | 2524.500000 | 2709.630000 | 2600.370000 | 2251.680000 | 2206.080000 | 2399.770000 | 2429.940000 | 2503.920000 | 2154.970000 | 2434.090000 |
| Philippines | 1434.310000 | 1466.880000 | 1510.810000 | 1432.200000 | 1658.970000 | 1508.250000 | 1794.490000 | 1694.140000 | 1840.550000 | 2063.570000 | 1941.490000 |
| Thailand | 5747.160000 | 5174.200000 | 5297.500000 | 5106.540000 | 4967.490000 | 4870.250000 | 5406.730000 | 5216.280000 | 5824.640000 | 5998.610000 | 5450.440000 |
| Vietnam | 2297.750000 | 1773.560000 | 2039.510000 | 2235.120000 | 2167.280000 | 2543.320000 | 2259.910000 | 2456.100000 | 2358.840000 | 2099.700000 | 1757.340000 |
| North East Asia | 26313.650000 | 27657.640000 | 26538.080000 | 26924.730000 | 28236.970000 | 23782.410000 | 26254.500000 | 27739.860000 | 25096.410000 | 26382.450000 | 26130.460000 |
| Mainland China | 7055.190000 | 7396.710000 | 6942.380000 | 6807.360000 | 7586.960000 | 7254.040000 | 8089.060000 | 7610.370000 | 6630.650000 | 7266.210000 | 7718.610000 |
Preview shows 10 rows and 12 columns. Use the table search or download the CSV for the full data.
Columns
| Column | Type | Categorical |
|---|---|---|
| Data Series | Text | No |
| 2025 Jul | Numeric | No |
| 2025 Jun | Numeric | No |
| 2025 May | Numeric | No |
| 2025 Apr | Numeric | No |
| 2025 Mar | Numeric | No |
| 2025 Feb | Numeric | No |
| 2025 Jan | Numeric | No |
| 2024 Dec | Numeric | No |
| 2024 Nov | Numeric | No |
| 2024 Oct | Numeric | No |
| 2024 Sep | Numeric | No |
| 2024 Aug | Numeric | No |
| 2024 Jul | Numeric | No |
| 2024 Jun | Numeric | No |
| 2024 May | Numeric | No |
| 2024 Apr | Numeric | No |
| 2024 Mar | Numeric | No |
| 2024 Feb | Numeric | No |
| 2024 Jan | Numeric | No |
| 2023 Dec | Numeric | No |
| 2023 Nov | Numeric | No |
| 2023 Oct | Numeric | No |
| 2023 Sep | Numeric | No |
| 2023 Aug | Numeric | No |
| 2023 Jul | Numeric | No |
| 2023 Jun | Numeric | No |
| 2023 May | Numeric | No |
| 2023 Apr | Numeric | No |
| 2023 Mar | Numeric | No |
| 2023 Feb | Numeric | No |
| 2023 Jan | Numeric | No |
| 2022 Dec | Numeric | No |
| 2022 Nov | Numeric | No |
| 2022 Oct | Numeric | No |
| 2022 Sep | Numeric | No |
| 2022 Aug | Numeric | No |
| 2022 Jul | Numeric | No |
| 2022 Jun | Numeric | No |
| 2022 May | Numeric | No |
| 2022 Apr | Numeric | No |
| 2022 Mar | Numeric | No |
| 2022 Feb | Numeric | No |
| 2022 Jan | Numeric | No |
| 2021 Dec | Numeric | No |
| 2021 Nov | Numeric | No |
| 2021 Oct | Numeric | No |
| 2021 Sep | Numeric | No |
| 2021 Aug | Numeric | No |
| 2021 Jul | Numeric | No |
| 2021 Jun | Numeric | No |
| 2021 May | Numeric | No |
| 2021 Apr | Numeric | No |
| 2021 Mar | Numeric | No |
| 2021 Feb | Numeric | No |
| 2021 Jan | Numeric | No |
| 2020 Dec | Numeric | No |
| 2020 Nov | Numeric | No |
| 2020 Oct | Numeric | No |
| 2020 Sep | Numeric | No |
Showing the first 60 of 476 columns. Download the CSV for the full schema.