Imports from Unspecified Countries
The "Imports from Unspecified Countries" dataset provides a comprehensive view of the imports, their value, and quantity, for various commodities coming into a country. The source of this data is from the Trade Statistics Database of the Commerce Department. Each record provides information about the date of import, originating country, commodity type as classified by the Harmonized System, the name of the commodity, its value in both USD and INR, and the quantity of the commodity in kilograms.
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
Additional Information
| Field | Value |
|---|---|
| Data last updated | May 8, 2025 |
| Metadata last updated | May 8, 2025 |
| Created | October 23, 2023 |
| Format | CSV |
| License | Open Data Commons Attribution License |
| Additional info | nan |
| Data extraction page | https://tradestat.commerce.gov.in/meidb/cntcomq.asp?ie=i |
| Data insights | Data Insights that can be drawn: Trends Over Time: By utilizing the 'date' variable, one can discern trends of imports over time. Are there any specific commodities that have seen a surge or decline over a given period? Commodity Analysis: Insights about the most and least imported commodities can be extracted. Value Analysis: One can assess which commodities hold the highest and lowest values in both USD and INR. This can give insights into the economic impact of specific imports. Country-wise Distribution: By analyzing the 'country' variable, insights about which unspecified countries are major or minor trade partners can be inferred. HS Code Analysis: Using the 'hs_code' variable, one can determine which categories of products are frequently imported, giving a broader picture of import needs. Quantity Analysis: Identifying commodities that have the highest and lowest quantities can provide insights into consumption and demand trends. |
| Data last updated | 2024-10-01 |
| Data retreival date | 2025-05-08 |
| Datastore active | True |
| Frequency | Monthly |
| Granularity | Country |
| Has views | True |
| Id | 0f301530-05d7-4f57-8944-797c81041ad4 |
| Idp ready | True |
| Lgd mapping | na |
| Methodology | The data has been sourced from the official website of the Department of Commerce, Government of India, which provides a comprehensive trade database for various commodities. The dataset's methodology centers on the Harmonized System (HS code) - a globally standardized system for classifying traded products. This ensures a consistent and comparable framework for understanding and analyzing trade data. |
| Mimetype | text/csv |
| No indicators | 3 |
| Package id | 0e64447e-7e57-4e17-ac2a-6b86944abfb2 |
| Position | 5 |
| Size | 1.9 MiB |
| Sku | mci-tradestat_import_lfy-cn-mn-uns |
| State | active |
| Tags | ['Trade Statistics', 'Unspecified Countries', 'Commodities', 'Harmonized System', 'Trade Value', 'Import Quantity', 'Currency Analysis'] |
| Url type | upload |
| Years covered | 2017-2024 |
| Methodology | The data has been sourced from the official website of the Department of Commerce, Government of India, which provides a comprehensive trade database for various commodities. The dataset's methodology centers on the Harmonized System (HS code) - a globally standardized system for classifying traded products. This ensures a consistent and comparable framework for understanding and analyzing trade data. |
| Indicators | |
| Similar Resources | |
| Granularity Level | Country |
| Data Extraction Page | https://tradestat.commerce.gov.in/meidb/cntcomq.asp?ie=i |
| Data Retreival Date | 2025-05-08 |
| Data Last Updated | 2024-10-01 |
| Sku | mci-tradestat_import_lfy-cn-mn-uns |
| Dataset Frequency | Monthly |
| Years Covered | 2017-2024 |
| No of States/UT(s) | |
| No of Districts | |
| No of Tehsils/blocks | |
| No of Gram Panchayats | |
| Additional Information | nan |
| Number of Indicators | 3 |
| Insights from the dataset | Data Insights that can be drawn: Trends Over Time: By utilizing the 'date' variable, one can discern trends of imports over time. Are there any specific commodities that have seen a surge or decline over a given period? Commodity Analysis: Insights about the most and least imported commodities can be extracted. Value Analysis: One can assess which commodities hold the highest and lowest values in both USD and INR. This can give insights into the economic impact of specific imports. Country-wise Distribution: By analyzing the 'country' variable, insights about which unspecified countries are major or minor trade partners can be inferred. HS Code Analysis: Using the 'hs_code' variable, one can determine which categories of products are frequently imported, giving a broader picture of import needs. Quantity Analysis: Identifying commodities that have the highest and lowest quantities can provide insights into consumption and demand trends. |
| IDP Ready | Yes |
| LGD Mapping | Not Applicable |