Exports at Principal Commodity Level
The "Exports at Principal Commodity Level" dataset provides detailed insights into the commodities exported from different states of a country to various international destinations. The dataset encompasses key parameters, such as the date (month), the originating state, the port used for export, the destination country, and specifics about the commodity, including its code, name, quantity, and corresponding value in both USD and INR.
Dicionario de datos
- ID
- id
- Tipo
- int4
- Etiqueta
- index
- ID
- month
- Tipo
- date
- Etiqueta
- Month
- ID
- state_name
- Tipo
- text
- Etiqueta
- State Name
- ID
- state_code
- Tipo
- text
- Etiqueta
- State Code
- ID
- port
- Tipo
- text
- Etiqueta
- Port to Export
- ID
- country
- Tipo
- text
- Etiqueta
- Export Country
- ID
- pc_code
- Tipo
- text
- Etiqueta
- Principle Commodity Code
- ID
- commodity
- Tipo
- text
- Etiqueta
- Commodity Name
- ID
- units
- Tipo
- text
- Etiqueta
- Quantity Unit Measurement
- ID
- quantity
- Tipo
- numeric
- Etiqueta
- Value of commodity quantity
- ID
- dollars_value
- Tipo
- numeric
- Etiqueta
- Value of commodity quantity in USD
- ID
- inr_value
- Tipo
- numeric
- Etiqueta
- Value of commodity quantity in INR
Información adicional
| Campo | Valor |
|---|---|
| Última actualización de datos | 17 de xaneiro de 2025 |
| Última actualización de metadatos | 17 de xaneiro de 2025 |
| Creado | 17 de xaneiro de 2025 |
| Formato | CSV |
| Licenza | Open Data Commons Attribution License |
| Additional info | nan |
| Data extraction page | https://ftddp.dgciskol.gov.in/dgcis/principalcommditysearch.html#!/freeuser |
| Data insights | Data insights that can be drawn: Trend Analysis: One can identify monthly trends in the export of specific commodities, thus gaining insights into peak export months or potential seasonality. Regional Insights: With state-wise export details, it's possible to discern which states are leading exporters for particular commodities. Trade Partners: By evaluating the 'Export Country' column, one can identify the top trade partners for specific commodities and states. Commodity Popularity: With data on commodity quantity and its value in both USD and INR, one can determine the most exported commodities in terms of volume and value. Port Utilization: Information about which ports are predominantly used for exporting can help in infrastructure and logistic planning. |
| Data last updated | 2024-07-01 00:00:00 |
| Data retreival date | 2024-09-16 00:00:00 |
| Datastore active | True |
| Frequency | Monthly |
| Granularity | State |
| Has views | True |
| Id | 5523ad24-c97a-4e0c-adb0-c89b420b0518 |
| Idp ready | False |
| Methodology | The dataset has been sourced from the online portal of the Directorate General of Commercial Intelligence and Statistics, as available at the specified URL. It likely accumulates data from customs declarations, trade agreements, and other export-related documentation to ensure accuracy and comprehensiveness in the dataset. However, users are advised to refer to the original source for any details about the data collection process or to verify the precision of the data. |
| Mimetype | text/csv |
| No indicators | 3 |
| Package id | fd4b135e-aced-4e0e-8dc9-dcb962eba98a |
| Position | 1 |
| Size | 832,6 MiB |
| Sku | mci-dgcis_exports_by_port-ol-yr-fya |
| State | active |
| States uts no | 29 |
| Tags | ['Trade', 'Exports', 'Commodity', 'Economic Data', 'Trade Balance', 'International Business', 'Regional Exports'] |
| Url type | upload |
| Years covered | 2018-2024 |
| Methodology | The dataset has been sourced from the online portal of the Directorate General of Commercial Intelligence and Statistics, as available at the specified URL. It likely accumulates data from customs declarations, trade agreements, and other export-related documentation to ensure accuracy and comprehensiveness in the dataset. However, users are advised to refer to the original source for any details about the data collection process or to verify the precision of the data. |
| Indicators | |
| Similar Resources | |
| Granularity Level | State |
| Data Extraction Page | https://ftddp.dgciskol.gov.in/dgcis/principalcommditysearch.html#!/freeuser |
| Data Retreival Date | 2024-09-16 00:00:00 |
| Data Last Updated | 2024-07-01 00:00:00 |
| Sku | mci-dgcis_exports_by_port-ol-yr-fya |
| Dataset Frequency | Monthly |
| Years Covered | 2018-2024 |
| No of States/UT(s) | 29 |
| No of Districts | |
| No of Tehsils/blocks | |
| No of Gram Panchayats | |
| Información adicional | nan |
| Number of Indicators | 3 |
| Insights from the dataset | Data insights that can be drawn: Trend Analysis: One can identify monthly trends in the export of specific commodities, thus gaining insights into peak export months or potential seasonality. Regional Insights: With state-wise export details, it's possible to discern which states are leading exporters for particular commodities. Trade Partners: By evaluating the 'Export Country' column, one can identify the top trade partners for specific commodities and states. Commodity Popularity: With data on commodity quantity and its value in both USD and INR, one can determine the most exported commodities in terms of volume and value. Port Utilization: Information about which ports are predominantly used for exporting can help in infrastructure and logistic planning. |
| IDP Ready | No |
| LGD Mapping | |
| Mapping Status % |