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Revenue Statistics

What this data shows

Published by Singapore Customs. 1,032 records. Fields include Month, Type, Value (3 columns in total). Covers 2020-01-01 to 2020-12-31. Last updated 2024-06-06.

Description

Revenue statistics from Singapore Customs in CSV format for 2020, covering monthly customs and excise duty collections and duty-paid releases for liquor, tobacco, motor vehicles, and petroleum products, plus GST collections and annual cost-per-dollar-collected indicators. Supports trade tax monitoring and logistics cost research.

Official description

- Yearly and monthly customs and excise duties collection for liquor, tobacco, motor vehicles and petroleum products and duty-paid releases for these products - Goods and Services Tax (GST) collection for imported and locally manufactured goods - Annual cost per dollar collected by Singapore Customs

Last updated
Coverage
2020-01-01 – 2020-12-31
Rows
1,032
Columns
3

Data

Month Type Value
2020-01 Total Customs & Excise Duties Collection (Million Dollars)(gross amounts collect... 273.4
2020-01 Liquors (Million Dollars)(gross amounts collected and figures may not add up exa... 69.1
2020-01 Tobacco (Million Dollars)(gross amounts collected and figures may not add up exa... 90.1
2020-01 Petroleum & Compressed Natural Gas (Million Dollars)(gross amounts collected and... 78.4
2020-01 Motor Vehicles (Million Dollars)(gross amounts collected and figures may not ad... 35.3
2020-01 Others (Million Dollars)(gross amounts collected and figures may not add up exac... 0.6
2020-01 Total GST Collection (Million Dollars)(gross GST amounts credited to the Consoli... 470.4
2020-01 GST on imported goods (Million Dollars) (gross GST amounts credited to the Conso... 468.2
2020-01 GST on locally manufactured goods subjected to excise duty (Million Dollars)(gro... 2.2
2020-01 Total Duties Collection for Liquor ('000 Dollars) (gross amounts collected and f... 69,091.90

Preview shows 10 rows and 3 columns. Use the table search or download the CSV for the full data.

Columns

Column Type Categorical
Month Month (YYYY-MM) No
Type Text No
Value Text No