Central Sector Schemes 2020-2021 To 2020-21 to 2022-23
This dataset details the financial allocations for India's Central Sector Schemes from 2020-21 to 2022-23, showing actuals, budget estimates, and revised estimates.
Dataset Metrics
Data Format
Dataset Schema (4 features)
| Name | Type | Nullable | Description |
|---|---|---|---|
| Category | string | No | |
| Sl No. | string | No | |
| Ministry/Department | string | No | |
| Scheme | string | No |
License & Compliance
About This Dataset
The data provides a ministry-wise and scheme-wise breakdown of expenditure for programs fully funded and implemented by the central government, such as PM-KISAN, Crop Insurance, and Interest Subvention schemes
Data Quality
The dataset is based on official administrative records. Financial columns (float64) represent values in standard units (typically Crores). Summary 'Total' rows for each Demand Number are included in the source file and should be filtered during statistical aggregation. Capital expenditure columns are sparsely populated for schemes that are purely service-oriented.
Use Cases
Analyzing the shift in fiscal priorities between revenue and capital intensive projects, tracking the growth of centrally sponsored schemes, evaluating ministry-level budgetary discipline, and economic research into public spending trends.
Limitations
The dataset provides financial allocations but lacks qualitative performance indicators or outcomes. Units of measurement (e.g., Crores) are not explicitly stated in the headers but follow standard Indian Budget conventions.
Methodology
The data is compiled from the 'Expenditure Profile' and 'Demands for Grants' documents published by the Ministry of Finance, Government of India.
Geographic Coverage
Source Information
Governance & Review
Usage & Restrictions
License: GODL-India — This dataset is licensed for use by the purchasing entity. Refer to the specific license terms for permitted use.
Access Control: Download links are time-limited and single-use. All access is logged for audit purposes.