Scheme-wise Details of Capital Receipts under Union Budget from 2021–22 to 2023–24
This dataset contains government financial records related to recoveries of loans and advances across different schemes and government entities for multiple fiscal years.
Dataset Metrics
Data Format
Dataset Schema (6 features)
| Name | Type | Nullable | Description |
|---|---|---|---|
| Group | Categorical | No | High-level classification of the financial entry such as Non Debt Receipts or Net-State Governments. |
| Scheme | Categorical | No | The scheme under which the loan recovery or financial entry is categorized. |
| Sub Scheme Name | Categorical | No | Sub-category of the scheme indicating the specific entity or classification within the scheme. |
| Programme Name | String | No | Programme under which the financial transaction or recovery entry is recorded. |
| Sub Programme Name | String | No | Further breakdown of programme-level classification representing detailed programme categories. |
| Major Head Code | String | No | Accounting head code used in government financial reporting to identify the budget classification. |
License & Compliance
About This Dataset
The dataset provides structured financial data detailing recoveries of loans and advances categorized by groups, schemes, sub-schemes, programs, and major head codes. It includes financial figures for actual expenditures in FY 2021-2022, budget estimates for FY 2022-2023, revised estimates for FY 2022-2023, and budget projections for FY 2023-2024. The dataset enables analysis of government loan recovery performance and budget allocations across multiple administrative categories.
Data Quality
The dataset appears structurally consistent with clearly defined financial fields. Numeric columns are properly formatted as floats. Some categorical fields, such as Programme Name and Sub Programme Name contain missing values, indicating incomplete hierarchical classification for certain records.
Use Cases
Government finance analysis, fiscal policy evaluation, public expenditure tracking, macroeconomic research, financial transparency reporting, and academic research on government budget allocations.
Limitations
The dataset lacks explicit geographic identifiers, detailed documentation of scheme definitions, and metadata explaining the units of financial values. Missing entries in program-level fields may reduce granularity for certain analyses.
Methodology
The data was likely compiled from official government budget documents and financial statements where recoveries of loans and advances are recorded under specific accounting heads and categorized into schemes and programmes for fiscal reporting.
Geographic Coverage
Source Information
Governance & Review
Usage & Restrictions
License: Creative Commons — This dataset may be used for research, analysis, and commercial applications with proper attribution.
Access Control: Download links are time-limited and single-use. All access is logged for audit purposes.