Tax collection on GST Portal
The dataset is related to the various types of Goods and Services Tax (GST) in India. It includes information on tax collections at the state and central levels, along with the Compensation Cess. The dataset covers multiple states and is organized by date.
Data Dictionary
- ID
- id
- Type
- int4
- Label
- index
- ID
- date
- Type
- date
- Label
- Date
- ID
- state_name
- Type
- text
- Label
- State Name
- ID
- state_code
- Type
- text
- Label
- State Code
- ID
- cgst
- Type
- numeric
- Label
- Central Goods and Services Tax
- ID
- sgst
- Type
- numeric
- Label
- State Goods and Services Tax
- ID
- igst
- Type
- numeric
- Label
- Integrated Goods and Services Tax
- ID
- cess
- Type
- numeric
- Label
- Goods and Services Tax Compensation Cess
Additional Information
| Field | Value |
|---|---|
| Data last updated | June 26, 2024 |
| Metadata last updated | August 22, 2024 |
| Created | September 15, 2023 |
| Format | CSV |
| License | Open Data Commons Attribution License |
| Additional info | nan |
| Data extraction page | https://www.gst.gov.in/download/gststatistics |
| Data insights | Some general insights that can be derived from this dataset: Tax Revenue Trends: Analyze how the Central Goods and Services Tax (CGST), State Goods and Services Tax (SGST), Integrated Goods and Services Tax (IGST), and Compensation Cess change over time by examining the 'date' variable. State-wise Tax Collection: Analysis can reveal which states contribute the most to GST revenue and how tax collection varies regionally. Tax Type Analysis: Investigate the individual tax components, including CGST, SGST, IGST, and Compensation Cess, to understand their contributions to overall GST revenue. Comparative Analysis: Identify growth or decline in revenue. Impact of Compensation Cess: Analyze the 'cess' variable to understand the impact of Compensation Cess on overall GST revenue. |
| Data last updated | 2023-03-01 00:00:00 |
| Data retreival date | 2024-05-02 00:00:00 |
| Datastore active | True |
| Frequency | Monthly |
| Granularity | State |
| Has views | True |
| Id | 5e946567-9c5a-49ab-9e32-240894882ea1 |
| Idp ready | True |
| Lgd mapping | yes |
| Methodology | The data is collected from official GST statistics provided by the Indian government. |
| Mimetype | text/csv |
| No indicators | 4 |
| Package id | 6b278093-4374-4b75-a147-b972ae168804 |
| Position | 0 |
| Size | 160.9 KiB |
| Sku | gstn-gst_collection-st-mn-aaa |
| State | active |
| States uts no | 37 |
| Tags | ['GST Tax Collection', 'Tax Revenue', 'IGST', 'CGST', 'SGST\n Compensation Cess'] |
| Url type | upload |
| Years covered | 2017-2023 |
| Methodology | The data is collected from official GST statistics provided by the Indian government. |
| Indicators | |
| Similar Resources | |
| Granularity Level | State |
| Data Extraction Page | https://www.gst.gov.in/download/gststatistics |
| Data Retreival Date | 2024-05-02 00:00:00 |
| Data Last Updated | 2023-03-01 00:00:00 |
| Sku | gstn-gst_collection-st-mn-aaa |
| Dataset Frequency | Monthly |
| Years Covered | 2017-2023 |
| No of States/UT(s) | 37 |
| No of Districts | |
| No of Tehsils/blocks | |
| No of Gram Panchayats | |
| Additional Information | nan |
| Number of Indicators | 4 |
| Insights from the dataset | Some general insights that can be derived from this dataset: Tax Revenue Trends: Analyze how the Central Goods and Services Tax (CGST), State Goods and Services Tax (SGST), Integrated Goods and Services Tax (IGST), and Compensation Cess change over time by examining the 'date' variable. State-wise Tax Collection: Analysis can reveal which states contribute the most to GST revenue and how tax collection varies regionally. Tax Type Analysis: Investigate the individual tax components, including CGST, SGST, IGST, and Compensation Cess, to understand their contributions to overall GST revenue. Comparative Analysis: Identify growth or decline in revenue. Impact of Compensation Cess: Analyze the 'cess' variable to understand the impact of Compensation Cess on overall GST revenue. |
| IDP Ready | Yes |
| LGD Mapping | Yes |