Imports at Principal Commodity Level
The "Imports at Principal Commodity Level" dataset provides detailed information about the commodities imported in Himachal Pradesh through different ports from multiple countries. Each entry in the dataset showcases the month of import, state details, port of entry, the originating country, commodity details, and the quantity along with its value in both USD and INR. It gives insights into the trade activities and the value of imported commodities over time.
Data Dictionary
Column | Type | Label | Description |
---|---|---|---|
id | int4 | index | |
month | date | Month | |
state_name | text | State Name | |
state_code | text | State Code | |
port | text | Port for Import | |
country | text | Import Country | |
pc_code | text | Principle Commodity Code | |
commodity | text | Commodity Name | |
units | text | Quantity Unit Measurement | |
quantity | numeric | Value of commodity quantity | |
dollars_value | numeric | Value of commodity quantity in USD | |
inr_value | numeric | Value of commodity quantity in INR |
Additional Information
Field | Value |
---|---|
Data last updated | June 24, 2024 |
Metadata last updated | June 25, 2024 |
Created | June 24, 2024 |
Format | CSV |
License | No License Provided |
Additional info | nan |
Data extraction page | https://119.226.26.106/dgcis/principalcommditysearch.html#!/freeuser |
Data insights | The data ranks the most imported commodities by quantity and value, indicating key import drivers. Port-wise distribution analysis reveals which ports handle the most imports, while country-wise insights identify major exporters to Himachal Pradesh.Fluctuations in USD and INR values provide understanding of currency impacts on import costs, and commodity-specific trends reveal seasonal demand patterns. |
Data last updated | 2023-08-01 00:00:00 |
Data retreival date | 2023-10-23 00:00:00 |
Datastore active | True |
Frequency | Monthly |
Granularity | State |
Has views | True |
Id | 5744bbf7-cfaa-479a-9ea6-297aca593194 |
Idp ready | True |
Methodology | This dataset is sourced from the official website (provided in the source link). The data seems to be collated and curated by government agencies or related trade bodies. Each entry corresponds to an import transaction detailing out the commodity, its origin, and its value. |
No indicators | 3 |
Package id | 7e7496f7-c0f0-4397-af20-50f4bbd686d0 |
Position | 1 |
Size | 11.1 KiB |
Sku | mci-dgcis_port_level_import-st-mn-him |
State | active |
States uts no | 1 |
Url type | upload |
Years covered | 2018-2023 |
Methodology | This dataset is sourced from the official website (provided in the source link). The data seems to be collated and curated by government agencies or related trade bodies. Each entry corresponds to an import transaction detailing out the commodity, its origin, and its value. |
Similar Resources | |
Granularity Level | State |
Data Extraction Page | https://119.226.26.106/dgcis/principalcommditysearch.html#!/freeuser |
Data Retreival Date | 2023-10-23 00:00:00 |
Data Last Updated | 2023-08-01 00:00:00 |
Sku | mci-dgcis_port_level_import-st-mn-him |
Dataset Frequency | Monthly |
Years Covered | 2018-2023 |
No of States/UT(s) | 1 |
No of Districts | |
No of Tehsils/blocks | |
No of Gram Panchayats | |
Additional Information | nan |
Number of Indicators | 3 |
Insights from the dataset | The data ranks the most imported commodities by quantity and value, indicating key import drivers. Port-wise distribution analysis reveals which ports handle the most imports, while country-wise insights identify major exporters to Himachal Pradesh.Fluctuations in USD and INR values provide understanding of currency impacts on import costs, and commodity-specific trends reveal seasonal demand patterns. |
IDP Ready | Yes |