Tax Receipts
The dataset provides detailed information on tax revenues collected by the government, categorized under various heads. It reflects the government's fiscal operations and its ability to generate revenue through different types of taxes.
Data Dictionary
- ID
- id
- Type
- int4
- Label
- index
- ID
- year
- Type
- text
- Label
- Year
- ID
- major_head
- Type
- text
- Label
- Major Head
- ID
- estimate_type
- Type
- text
- Label
- Estimate Type
- ID
- major_category
- Type
- text
- Label
- Major Category
- ID
- minor_category
- Type
- text
- Label
- Minor Category
- ID
- sub_category
- Type
- text
- Label
- Sub Category
- ID
- amount
- Type
- numeric
- Label
- Amount
Additional Information
Field | Value |
---|---|
Data last updated | April 29, 2025 |
Metadata last updated | April 29, 2025 |
Created | September 2, 2024 |
Format | CSV |
License | Open Data Commons Attribution License |
Additional info | nan |
Data extraction page | https://www.indiabudget.gov.in/previous_union_budget.php |
Data insights | Revenue Performance: The dataset allows for the analysis of the government's revenue collection performance over different fiscal years, comparing actual receipts with budgeted and revised estimates.Tax Composition: By categorizing tax receipts into direct and indirect taxes, as well as further sub-categories, the dataset provides insights into the structure of the government's revenue base.Trends and Patterns: Historical data can reveal trends in tax revenue growth, the impact of policy changes, and shifts in the reliance on different types of taxes.Policy Impact: The data can be used to assess the effectiveness of tax policies, reforms, and measures introduced by the government, by analyzing changes in revenue collections under different tax heads. |
Data last updated | 2025-04-23 00:00:00 |
Data retreival date | 2025-04-23 00:00:00 |
Datastore active | True |
District no | 0 |
Frequency | Yearly |
Gp no | 0 |
Granularity | India |
Has views | True |
Id | bec53f9e-fa78-4baa-8a17-e04929ac60e2 |
Idp ready | True |
Lgd mapping | na |
Methodology | The dataset is compiled and reported by the Ministry of Finance as part of the Union Budget documentation. |
Mimetype | text/csv |
No indicators | 1 |
Package id | ef93f547-13f6-49f9-837d-19e578f7a14d |
Position | 4 |
Size | 211.5 KiB |
Sku | mof-ub_tax_receipts-in-yr-ylo |
State | active |
States uts no | 0 |
Tags | ['Union Budget', 'Tax Revenue', 'Fiscal Policy', 'Public Finance', 'Ministry of Finance', 'Revenue Collection', 'India', 'Budget Estimates', 'Direct Taxes', 'Indirect Taxes'] |
Tehsil no | 0 |
Url type | upload |
Village no | 0 |
Years covered | 2017-2025 |
Methodology | The dataset is compiled and reported by the Ministry of Finance as part of the Union Budget documentation. |
Indicators | |
Similar Resources | |
Granularity Level | India |
Data Extraction Page | https://www.indiabudget.gov.in/previous_union_budget.php |
Data Retreival Date | 2025-04-23 00:00:00 |
Data Last Updated | 2025-04-23 00:00:00 |
Sku | mof-ub_tax_receipts-in-yr-ylo |
Dataset Frequency | Yearly |
Years Covered | 2017-2025 |
No of States/UT(s) | 0 |
No of Districts | 0 |
No of Tehsils/blocks | 0 |
No of Gram Panchayats | 0 |
Additional Information | nan |
Number of Indicators | 1 |
Insights from the dataset | Revenue Performance: The dataset allows for the analysis of the government's revenue collection performance over different fiscal years, comparing actual receipts with budgeted and revised estimates.Tax Composition: By categorizing tax receipts into direct and indirect taxes, as well as further sub-categories, the dataset provides insights into the structure of the government's revenue base.Trends and Patterns: Historical data can reveal trends in tax revenue growth, the impact of policy changes, and shifts in the reliance on different types of taxes.Policy Impact: The data can be used to assess the effectiveness of tax policies, reforms, and measures introduced by the government, by analyzing changes in revenue collections under different tax heads. |
IDP Ready | Yes |
LGD Mapping | Not Applicable |