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Exports to Oceanic Countries
The dataset "Exports to Oceanic Countries" contains detailed information on exports from a specific country (presumably India, given the source) to various Oceanic countries. It showcases trade metrics like the value of the commodities traded, both in USD and INR, the quantity of these commodities, and more. The data also incorporates the Harmonized System (HS) code which is a universally accepted system for classifying traded products.
Data Dictionary
- ID
- id
- Type
- int4
- Label
- index
- ID
- date
- Type
- date
- Label
- Date
- ID
- country_name
- Type
- text
- Label
- Country Name
- ID
- alpha_3_code
- Type
- text
- Label
- ISO Alpha 3 Code
- ID
- country_code
- Type
- text
- Label
- Country Code
- ID
- region
- Type
- text
- Label
- Region Name
- ID
- region_code
- Type
- text
- Label
- Region Code
- ID
- sub_region
- Type
- text
- Label
- Sub-Region Name
- ID
- sub_region_code
- Type
- text
- Label
- Sub-Region Code
- ID
- hs_code
- Type
- text
- Label
- Harmonized System Code
- ID
- commodity
- Type
- text
- Label
- Commodity Name
- ID
- unit
- Type
- text
- Label
- Unit of Quantity
- ID
- value_qt
- Type
- numeric
- Label
- Quantity of commodity
- ID
- value_rs
- Type
- numeric
- Label
- Value of commodity quantity in INR
- ID
- value_dl
- Type
- numeric
- Label
- Value of commodity quantity in US Dollars
Yderligere information
| Felt | Værdi |
|---|---|
| Data last updated | 4. oktober 2025 |
| Metadata last updated | 4. oktober 2025 |
| Oprettet | 23. oktober 2023 |
| Format | CSV |
| Licens | Open Data Commons Attribution License |
| Additional info | nan |
| Data extraction page | https://tradestat.commerce.gov.in/meidb/commoditywise_export |
| Data insights | Data Insights that can be drawn:Trade Dynamics: Understanding the export trends over time, seeing which Oceanic countries have the highest trade volumes.Popular Commodities: Identify which commodities are most frequently exported and to which countries.Currency Value Trends: Comparing the value of commodities in USD and INR could provide insights into currency fluctuations and their impacts on trade.Quantity vs. Value: Evaluating which commodities bring in the most value in terms of money for the least quantity and vice versa.HS Code Analysis: Using HS codes to categorize and understand the diversity of products being exported. |
| Data last updated | 2025-06-01 |
| Data retreival date | 2025-10-04 |
| Datastore active | True |
| Frequency | Monthly |
| Granularity | Country |
| Has views | True |
| Id | e2f46a6b-84cb-480e-a923-8e9e69afd1ea |
| Idp ready | True |
| Lgd mapping | na |
| Methodology | The data is presumably collected from customs and trade departments, detailing out export transactions. Each record in the dataset corresponds to a specific transaction featuring the date, country of import, HS code of the commodity, the commodity's name, its value in USD and INR, and its quantity |
| Mimetype | text/csv |
| No indicators | 3 |
| Package id | f9be9c01-9383-446d-b135-39acba784745 |
| Position | 3 |
| Size | 60,2 Mb |
| Sku | mci-tradestat_export_lfy-cn-mn-oce |
| State | active |
| Tags | ['Trade', 'Exports', 'Oceanic Countries', 'Commerce', 'HS Code', 'Commodity Value', 'International Business', 'Currency Analysis'] |
| Url type | upload |
| Years covered | 2015-2025 |