Ändringar

              
    

          
          
        
        

            
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{
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{
            
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  "SDGs": [],
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  "SDGs": [],
            
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  "author": null,
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  "author": null,
            
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  "author_email": null,
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  "author_email": null,
            
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  "creator_user_id": "2d6f4b88-ac2a-4d68-8d0f-7c6235b7b442",
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  "creator_user_id": "2d6f4b88-ac2a-4d68-8d0f-7c6235b7b442",
            
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  "extras": [
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  "extras": [
            
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    {
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    {
            
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      "key": "fields",
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      "key": "fields",
            
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      "value": "id, year, sr_no, major_head, estimate_type, 
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      "value": "id, year, sr_no, major_head, estimate_type, 
            
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major_category, minor_category, sub_category, amount, id, year, 
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major_category, minor_category, sub_category, amount, id, year, 
            
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estimate_type, particular, particular_number, value, id, year, sr_no, 
11
estimate_type, particular, particular_number, value, id, year, sr_no, 
            
12
major_head, estimate_type, major_category, minor_category, 
12
major_head, estimate_type, major_category, minor_category, 
            
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sub_category, amount, id, scheme, scheme_type, value, year, 
13
sub_category, amount, id, scheme, scheme_type, value, year, 
            
14
estimate_type, id, year, sr_no, major_head, estimate_type, 
14
estimate_type, id, year, sr_no, major_head, estimate_type, 
            
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major_category, minor_category, sub_category, amount"
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major_category, minor_category, sub_category, amount"
            
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    }
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    }
            
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  ],
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  ],
            
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  "groups": [],
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  "groups": [],
            
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  "id": "ef93f547-13f6-49f9-837d-19e578f7a14d",
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  "id": "ef93f547-13f6-49f9-837d-19e578f7a14d",
            
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  "isopen": false,
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  "isopen": false,
            
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  "license_id": "Open Data Commons Attribution License",
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  "license_id": "Open Data Commons Attribution License",
            
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  "license_title": "Open Data Commons Attribution License",
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  "license_title": "Open Data Commons Attribution License",
            
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  "maintainer": null,
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  "maintainer": null,
            
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  "maintainer_email": null,
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  "maintainer_email": null,
            
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  "metadata_created": "2024-09-02T12:08:05.726986",
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  "metadata_created": "2024-09-02T12:08:05.726986",
            
n
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  "metadata_modified": "2025-04-29T15:55:16.113827",
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  "metadata_modified": "2025-04-29T15:55:30.112593",
            
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  "name": "union-budget",
27
  "name": "union-budget",
            
28
  "notes": "The Union Budget package is a comprehensive collection of 
28
  "notes": "The Union Budget package is a comprehensive collection of 
            
29
datasets provided by the Ministry of Finance, offering a detailed view 
29
datasets provided by the Ministry of Finance, offering a detailed view 
            
30
of the financial management and fiscal planning of the Government of 
30
of the financial management and fiscal planning of the Government of 
            
31
India. This package encapsulates various components of the Union 
31
India. This package encapsulates various components of the Union 
            
32
Budget, which is the annual financial statement presented by the 
32
Budget, which is the annual financial statement presented by the 
            
33
government, detailing its revenue and expenditure for the upcoming 
33
government, detailing its revenue and expenditure for the upcoming 
            
34
fiscal year.",
34
fiscal year.",
            
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  "num_resources": 5,
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  "num_resources": 5,
            
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  "num_tags": 3,
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  "num_tags": 3,
            
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  "organization": {
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  "organization": {
            
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    "approval_status": "approved",
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    "approval_status": "approved",
            
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    "created": "2022-12-05T03:44:54.080358",
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    "created": "2022-12-05T03:44:54.080358",
            
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    "description": "",
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    "description": "",
            
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    "id": "94317457-d297-4549-9640-7865034682c5",
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    "id": "94317457-d297-4549-9640-7865034682c5",
            
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    "image_url": "2023-12-08-070530.691105iSB-IDP-Logo.png",
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    "image_url": "2023-12-08-070530.691105iSB-IDP-Logo.png",
            
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    "is_organization": true,
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    "is_organization": true,
            
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    "name": "idp-organization",
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    "name": "idp-organization",
            
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    "state": "active",
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    "state": "active",
            
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    "title": "IDP organization",
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    "title": "IDP organization",
            
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    "type": "organization"
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    "type": "organization"
            
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  },
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  },
            
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  "owner_org": "94317457-d297-4549-9640-7865034682c5",
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  "owner_org": "94317457-d297-4549-9640-7865034682c5",
            
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  "private": false,
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  "private": false,
            
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  "relationships_as_object": [],
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  "relationships_as_object": [],
            
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  "relationships_as_subject": [],
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  "relationships_as_subject": [],
            
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  "resources": [
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  "resources": [
            
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    {
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    {
            
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      "additional_info": "nan",
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      "additional_info": "nan",
            
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      "cache_last_updated": null,
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      "cache_last_updated": null,
            
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      "cache_url": null,
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      "cache_url": null,
            
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      "created": "2024-09-02T12:08:06.391114",
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      "created": "2024-09-02T12:08:06.391114",
            
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      "data_extraction_page": 
59
      "data_extraction_page": 
            
60
"https://www.indiabudget.gov.in/previous_union_budget.php",
60
"https://www.indiabudget.gov.in/previous_union_budget.php",
            
61
      "data_insights": "Potential insights that can be drawn 
61
      "data_insights": "Potential insights that can be drawn 
            
62
include:Capital Receipts Analysis: Detailed analysis of the different 
62
include:Capital Receipts Analysis: Detailed analysis of the different 
            
63
components of capital receipts over time, including the impact of 
63
components of capital receipts over time, including the impact of 
            
64
disinvestment, loans, and recoveries.Budget vs. Actuals: Comparison 
64
disinvestment, loans, and recoveries.Budget vs. Actuals: Comparison 
            
65
between budget estimates, revised estimates, and actual receipts to 
65
between budget estimates, revised estimates, and actual receipts to 
            
66
assess the accuracy of government forecasting and fiscal 
66
assess the accuracy of government forecasting and fiscal 
            
67
management.Category-wise Breakdown: Insights into the distribution of 
67
management.Category-wise Breakdown: Insights into the distribution of 
            
68
capital receipts across various categories and major heads, 
68
capital receipts across various categories and major heads, 
            
69
highlighting trends and shifts in government revenue sources.Yearly 
69
highlighting trends and shifts in government revenue sources.Yearly 
            
70
Trends: Longitudinal analysis of capital receipts over multiple years 
70
Trends: Longitudinal analysis of capital receipts over multiple years 
            
71
to identify trends, growth patterns, and fluctuations in government 
71
to identify trends, growth patterns, and fluctuations in government 
            
72
revenue.",
72
revenue.",
            
73
      "data_last_updated": "03-07-2024",
73
      "data_last_updated": "03-07-2024",
            
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      "data_retreival_date": "03-07-2024",
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      "data_retreival_date": "03-07-2024",
            
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      "datastore_active": true,
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      "datastore_active": true,
            
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      "description": "The dataset \"Capital Receipts\" is from the 
76
      "description": "The dataset \"Capital Receipts\" is from the 
            
77
Ministry of Finance and is part of the Union Budget package. It 
77
Ministry of Finance and is part of the Union Budget package. It 
            
78
captures detailed information about capital receipts, including 
78
captures detailed information about capital receipts, including 
            
79
various forms of non-tax revenue the government receives. The dataset 
79
various forms of non-tax revenue the government receives. The dataset 
            
80
is structured to include categories such as significant heads, 
80
is structured to include categories such as significant heads, 
            
81
specific particulars, and types of estimates (budget estimates, 
81
specific particulars, and types of estimates (budget estimates, 
            
82
revised estimates, and actuals). The dataset provides an annual 
82
revised estimates, and actuals). The dataset provides an annual 
            
83
breakdown of capital receipts, with values reported in crores of 
83
breakdown of capital receipts, with values reported in crores of 
            
84
Indian Rupees (INR).",
84
Indian Rupees (INR).",
            
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      "district_no": "0",
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      "district_no": "0",
            
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      "format": "CSV",
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      "format": "CSV",
            
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      "frequency": "Yearly",
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      "frequency": "Yearly",
            
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      "gp_no": "0",
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      "gp_no": "0",
            
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      "granularity": "All India",
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      "granularity": "All India",
            
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      "hash": "",
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      "hash": "",
            
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      "id": "971d88b3-212d-45d9-acd9-fd99f2af0fe7",
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      "id": "971d88b3-212d-45d9-acd9-fd99f2af0fe7",
            
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      "idp_ready": true,
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      "idp_ready": true,
            
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      "last_modified": "2024-09-02T12:08:06.334953",
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      "last_modified": "2024-09-02T12:08:06.334953",
            
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      "lgd_mapping": "na",
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      "lgd_mapping": "na",
            
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      "metadata_modified": "2024-09-02T12:11:15.248229",
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      "metadata_modified": "2024-09-02T12:11:15.248229",
            
96
      "methodology": "The dataset is compiled and reported by the 
96
      "methodology": "The dataset is compiled and reported by the 
            
97
Ministry of Finance as part of the Union Budget documentation. ",
97
Ministry of Finance as part of the Union Budget documentation. ",
            
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      "mimetype": null,
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      "mimetype": null,
            
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      "mimetype_inner": null,
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      "mimetype_inner": null,
            
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      "name": "Capital Receipts",
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      "name": "Capital Receipts",
            
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      "no_indicators": "1",
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      "no_indicators": "1",
            
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      "package_id": "ef93f547-13f6-49f9-837d-19e578f7a14d",
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      "package_id": "ef93f547-13f6-49f9-837d-19e578f7a14d",
            
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      "position": 0,
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      "position": 0,
            
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      "resource_type": null,
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      "resource_type": null,
            
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      "similar_resources": "",
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      "similar_resources": "",
            
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      "size": 318980,
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      "size": 318980,
            
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      "sku": "mof-ub_capital_receipts-in-yr-aaa",
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      "sku": "mof-ub_capital_receipts-in-yr-aaa",
            
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      "state": "active",
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      "state": "active",
            
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      "states_uts_no": "0",
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      "states_uts_no": "0",
            
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      "tehsil_no": "0",
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      "tehsil_no": "0",
            
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      "url": 
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      "url": 
            
112
e/971d88b3-212d-45d9-acd9-fd99f2af0fe7/download/capital-receipts.csv",
112
e/971d88b3-212d-45d9-acd9-fd99f2af0fe7/download/capital-receipts.csv",
            
113
      "url_type": "upload",
113
      "url_type": "upload",
            
114
      "years_covered": "2017-2025"
114
      "years_covered": "2017-2025"
            
115
    },
115
    },
            
116
    {
116
    {
            
117
      "additional_info": "nan",
117
      "additional_info": "nan",
            
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      "cache_last_updated": null,
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      "cache_last_updated": null,
            
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      "cache_url": null,
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      "cache_url": null,
            
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      "created": "2024-09-02T12:08:43.568275",
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      "created": "2024-09-02T12:08:43.568275",
            
121
      "data_extraction_page": 
121
      "data_extraction_page": 
            
122
"https://www.indiabudget.gov.in/previous_union_budget.php",
122
"https://www.indiabudget.gov.in/previous_union_budget.php",
            
123
      "data_insights": "Budget Estimates: The dataset enables analysis 
123
      "data_insights": "Budget Estimates: The dataset enables analysis 
            
124
of the government's planned budget allocations versus revised 
124
of the government's planned budget allocations versus revised 
            
125
estimates and actual expenditures, helping to assess fiscal discipline 
125
estimates and actual expenditures, helping to assess fiscal discipline 
            
126
and resource allocation efficiency.\nRevenue and Expenditure: It 
126
and resource allocation efficiency.\nRevenue and Expenditure: It 
            
127
provides detailed insights into government revenue sources and 
127
provides detailed insights into government revenue sources and 
            
128
spending priorities, including tax revenue, non-tax revenue, capital 
128
spending priorities, including tax revenue, non-tax revenue, capital 
            
129
expenditure, and subsidies.\nFiscal Deficit: The dataset highlights 
129
expenditure, and subsidies.\nFiscal Deficit: The dataset highlights 
            
130
the fiscal deficit trends, enabling the analysis of how the government 
130
the fiscal deficit trends, enabling the analysis of how the government 
            
131
manages its financial health and debt levels.\nYear-on-Year 
131
manages its financial health and debt levels.\nYear-on-Year 
            
132
Comparisons: The data allows for a comparison of budget allocations 
132
Comparisons: The data allows for a comparison of budget allocations 
            
133
and outcomes across different fiscal years, providing insights into 
133
and outcomes across different fiscal years, providing insights into 
            
134
changing government priorities and economic conditions.",
134
changing government priorities and economic conditions.",
            
135
      "data_last_updated": "2025-04-22 00:00:00",
135
      "data_last_updated": "2025-04-22 00:00:00",
            
136
      "data_retreival_date": "2025-04-22 00:00:00",
136
      "data_retreival_date": "2025-04-22 00:00:00",
            
137
      "datastore_active": true,
137
      "datastore_active": true,
            
138
      "description": "The dataset provides a comprehensive summary of 
138
      "description": "The dataset provides a comprehensive summary of 
            
139
the Union Budget, presenting key financial figures and estimates 
139
the Union Budget, presenting key financial figures and estimates 
            
140
across various budget categories. It serves as an essential tool for 
140
across various budget categories. It serves as an essential tool for 
            
141
understanding the allocation of financial resources and the fiscal 
141
understanding the allocation of financial resources and the fiscal 
            
142
strategy of the Government of India.",
142
strategy of the Government of India.",
            
143
      "district_no": "0",
143
      "district_no": "0",
            
144
      "format": "CSV",
144
      "format": "CSV",
            
145
      "frequency": "Yearly",
145
      "frequency": "Yearly",
            
146
      "gp_no": "0",
146
      "gp_no": "0",
            
147
      "granularity": "India",
147
      "granularity": "India",
            
148
      "hash": "",
148
      "hash": "",
            
149
      "id": "40ca1c3c-3515-4d97-81e6-243370ee4b53",
149
      "id": "40ca1c3c-3515-4d97-81e6-243370ee4b53",
            
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      "idp_ready": true,
150
      "idp_ready": true,
            
151
      "last_modified": "2025-04-22T04:58:36.909493",
151
      "last_modified": "2025-04-22T04:58:36.909493",
            
152
      "lgd_mapping": "na",
152
      "lgd_mapping": "na",
            
153
      "metadata_modified": "2025-04-22T04:58:41.514603",
153
      "metadata_modified": "2025-04-22T04:58:41.514603",
            
154
      "methodology": "The dataset is compiled and reported by the 
154
      "methodology": "The dataset is compiled and reported by the 
            
155
Ministry of Finance as part of the Union Budget documentation. ",
155
Ministry of Finance as part of the Union Budget documentation. ",
            
156
      "mimetype": "text/csv",
156
      "mimetype": "text/csv",
            
157
      "mimetype_inner": null,
157
      "mimetype_inner": null,
            
158
      "name": "Budget At A Glance",
158
      "name": "Budget At A Glance",
            
159
      "no_indicators": "1",
159
      "no_indicators": "1",
            
160
      "package_id": "ef93f547-13f6-49f9-837d-19e578f7a14d",
160
      "package_id": "ef93f547-13f6-49f9-837d-19e578f7a14d",
            
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      "position": 1,
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      "position": 1,
            
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      "resource_type": null,
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      "resource_type": null,
            
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      "similar_datasets": [],
163
      "similar_datasets": [],
            
164
      "similar_resources": "",
164
      "similar_resources": "",
            
165
      "size": 21884,
165
      "size": 21884,
            
166
      "sku": "mof-ub_macro-in-yr-aaa",
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      "sku": "mof-ub_macro-in-yr-aaa",
            
167
      "state": "active",
167
      "state": "active",
            
168
      "states_uts_no": "0",
168
      "states_uts_no": "0",
            
169
      "tags": [
169
      "tags": [
            
170
        "Union Budget",
170
        "Union Budget",
            
171
        "Government Finance",
171
        "Government Finance",
            
172
        "Fiscal Policy",
172
        "Fiscal Policy",
            
173
        "Budget Estimates",
173
        "Budget Estimates",
            
174
        "Revenue",
174
        "Revenue",
            
175
        "Expenditure",
175
        "Expenditure",
            
176
        "Fiscal Deficit"
176
        "Fiscal Deficit"
            
177
      ],
177
      ],
            
178
      "tehsil_no": "0",
178
      "tehsil_no": "0",
            
179
      "url": 
179
      "url": 
            
180
40ca1c3c-3515-4d97-81e6-243370ee4b53/download/budget-at-a-glance.csv",
180
40ca1c3c-3515-4d97-81e6-243370ee4b53/download/budget-at-a-glance.csv",
            
181
      "url_type": "upload",
181
      "url_type": "upload",
            
182
      "village_no": "0",
182
      "village_no": "0",
            
183
      "years_covered": "2017-2026"
183
      "years_covered": "2017-2026"
            
184
    },
184
    },
            
185
    {
185
    {
            
186
      "additional_info": "nan",
186
      "additional_info": "nan",
            
187
      "cache_last_updated": null,
187
      "cache_last_updated": null,
            
188
      "cache_url": null,
188
      "cache_url": null,
            
189
      "created": "2024-09-02T12:09:33.367735",
189
      "created": "2024-09-02T12:09:33.367735",
            
190
      "data_extraction_page": 
190
      "data_extraction_page": 
            
191
"https://www.indiabudget.gov.in/previous_union_budget.php",
191
"https://www.indiabudget.gov.in/previous_union_budget.php",
            
192
      "data_insights": "Revenue Streams: The dataset allows analysis 
192
      "data_insights": "Revenue Streams: The dataset allows analysis 
            
193
of various non-tax revenue streams such as interest receipts, 
193
of various non-tax revenue streams such as interest receipts, 
            
194
dividends, and profits from public sector enterprises.Performance 
194
dividends, and profits from public sector enterprises.Performance 
            
195
Tracking: By comparing Budget Estimates, Revised Estimates, and 
195
Tracking: By comparing Budget Estimates, Revised Estimates, and 
            
196
Actuals, one can assess the accuracy of the government's financial 
196
Actuals, one can assess the accuracy of the government's financial 
            
197
forecasting and the efficiency of revenue collection.Category 
197
forecasting and the efficiency of revenue collection.Category 
            
198
Analysis: The data provides insights into the contribution of 
198
Analysis: The data provides insights into the contribution of 
            
199
different categories and sub-categories to the total non-tax revenue, 
199
different categories and sub-categories to the total non-tax revenue, 
            
200
highlighting areas of strong performance or underperformance.Fiscal 
200
highlighting areas of strong performance or underperformance.Fiscal 
            
201
Health: Understanding non-tax receipts is crucial for assessing the 
201
Health: Understanding non-tax receipts is crucial for assessing the 
            
202
government's overall fiscal health, as these revenues supplement tax 
202
government's overall fiscal health, as these revenues supplement tax 
            
203
collections and help finance public expenditure.",
203
collections and help finance public expenditure.",
            
204
      "data_last_updated": "2025-04-23 00:00:00",
204
      "data_last_updated": "2025-04-23 00:00:00",
            
205
      "data_retreival_date": "2025-04-23 00:00:00",
205
      "data_retreival_date": "2025-04-23 00:00:00",
            
206
      "datastore_active": true,
206
      "datastore_active": true,
            
207
      "description": "The dataset provides detailed information on the 
207
      "description": "The dataset provides detailed information on the 
            
208
government's non-tax revenue, including various categories and 
208
government's non-tax revenue, including various categories and 
            
209
subcategories. It is a crucial component of the Union Budget that 
209
subcategories. It is a crucial component of the Union Budget that 
            
210
showcases the government\u00e2\u20ac\u2122s earnings from sources 
210
showcases the government\u00e2\u20ac\u2122s earnings from sources 
            
211
other than direct and indirect taxes, such as dividends, interest 
211
other than direct and indirect taxes, such as dividends, interest 
            
212
receipts, and other administrative revenues.",
212
receipts, and other administrative revenues.",
            
213
      "district_no": "0",
213
      "district_no": "0",
            
214
      "format": "CSV",
214
      "format": "CSV",
            
215
      "frequency": "Yearly",
215
      "frequency": "Yearly",
            
216
      "gp_no": "0",
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      "gp_no": "0",
            
217
      "granularity": "India",
217
      "granularity": "India",
            
218
      "hash": "",
218
      "hash": "",
            
219
      "id": "db249a7a-6a8d-49fa-9cce-8739f10082a0",
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      "id": "db249a7a-6a8d-49fa-9cce-8739f10082a0",
            
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      "idp_ready": true,
220
      "idp_ready": true,
            
221
      "last_modified": "2025-04-29T15:55:16.074133",
221
      "last_modified": "2025-04-29T15:55:16.074133",
            
222
      "lgd_mapping": "na",
222
      "lgd_mapping": "na",
            
n
223
      "metadata_modified": "2025-04-29T15:55:16.118695",
n
223
      "metadata_modified": "2025-04-29T15:55:30.121100",
            
224
      "methodology": "The dataset is compiled and reported by the 
224
      "methodology": "The dataset is compiled and reported by the 
            
225
Ministry of Finance as part of the Union Budget documentation. ",
225
Ministry of Finance as part of the Union Budget documentation. ",
            
226
      "mimetype": "text/csv",
226
      "mimetype": "text/csv",
            
227
      "mimetype_inner": null,
227
      "mimetype_inner": null,
            
228
      "name": "Non Tax Receipts",
228
      "name": "Non Tax Receipts",
            
229
      "no_indicators": "1",
229
      "no_indicators": "1",
            
230
      "package_id": "ef93f547-13f6-49f9-837d-19e578f7a14d",
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      "package_id": "ef93f547-13f6-49f9-837d-19e578f7a14d",
            
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      "position": 2,
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      "position": 2,
            
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      "resource_type": null,
232
      "resource_type": null,
            
n
n
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      "similar_datasets": [],
            
233
      "similar_resources": "",
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      "similar_resources": "",
            
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      "size": 244704,
235
      "size": 244704,
            
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      "sku": "mof-ub_non_tax_receipts-in-yr-aaa",
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      "sku": "mof-ub_non_tax_receipts-in-yr-aaa",
            
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      "state": "active",
237
      "state": "active",
            
237
      "states_uts_no": "0",
238
      "states_uts_no": "0",
            
t
t
239
      "tags": [
            
240
        "Non Tax Revenue",
            
241
        "Government Receipts",
            
242
        "Fiscal Policy",
            
243
        "Union Budget",
            
244
        "Ministry of Finance",
            
245
        "Revenue Analysis",
            
246
        "India",
            
247
        "Public Finance"
            
248
      ],
            
238
      "tehsil_no": "0",
249
      "tehsil_no": "0",
            
239
      "url": 
250
      "url": 
            
240
e/db249a7a-6a8d-49fa-9cce-8739f10082a0/download/non-tax-receipts.csv",
251
e/db249a7a-6a8d-49fa-9cce-8739f10082a0/download/non-tax-receipts.csv",
            
241
      "url_type": "upload",
252
      "url_type": "upload",
            
242
      "village_no": "0",
253
      "village_no": "0",
            
243
      "years_covered": "2017-2025"
254
      "years_covered": "2017-2025"
            
244
    },
255
    },
            
245
    {
256
    {
            
246
      "additional_info": "nan",
257
      "additional_info": "nan",
            
247
      "cache_last_updated": null,
258
      "cache_last_updated": null,
            
248
      "cache_url": null,
259
      "cache_url": null,
            
249
      "created": "2024-09-02T12:09:59.636898",
260
      "created": "2024-09-02T12:09:59.636898",
            
250
      "data_extraction_page": 
261
      "data_extraction_page": 
            
251
"https://www.indiabudget.gov.in/previous_union_budget.php",
262
"https://www.indiabudget.gov.in/previous_union_budget.php",
            
252
      "data_insights": "Budget Allocation: The dataset allows for an 
263
      "data_insights": "Budget Allocation: The dataset allows for an 
            
253
analysis of how much budget has been allocated to various major 
264
analysis of how much budget has been allocated to various major 
            
254
schemes over the years.Expenditure Tracking: By comparing Budget 
265
schemes over the years.Expenditure Tracking: By comparing Budget 
            
255
Estimates, Revised Estimates, and Actual expenditures, one can assess 
266
Estimates, Revised Estimates, and Actual expenditures, one can assess 
            
256
the efficiency of fund utilization for different schemes.Scheme 
267
the efficiency of fund utilization for different schemes.Scheme 
            
257
Prioritization: The data highlights which schemes are prioritized in 
268
Prioritization: The data highlights which schemes are prioritized in 
            
258
terms of financial allocation, offering insight into government policy 
269
terms of financial allocation, offering insight into government policy 
            
259
and focus areas.Trend Analysis: Historical data across multiple years 
270
and focus areas.Trend Analysis: Historical data across multiple years 
            
260
allows for the examination of trends in government spending on major 
271
allows for the examination of trends in government spending on major 
            
261
schemes, indicating shifts in policy focus or the 
272
schemes, indicating shifts in policy focus or the 
            
262
expansion/contraction of specific programs.",
273
expansion/contraction of specific programs.",
            
263
      "data_last_updated": "03-07-2024",
274
      "data_last_updated": "03-07-2024",
            
264
      "data_retreival_date": "03-07-2024",
275
      "data_retreival_date": "03-07-2024",
            
265
      "datastore_active": true,
276
      "datastore_active": true,
            
266
      "description": "The dataset provides detailed information on the 
277
      "description": "The dataset provides detailed information on the 
            
267
financial outlays for major government schemes, as presented in the 
278
financial outlays for major government schemes, as presented in the 
            
268
Union Budget. It tracks the allocation and expenditure of funds on key 
279
Union Budget. It tracks the allocation and expenditure of funds on key 
            
269
schemes that are crucial to government policy and public welfare.",
280
schemes that are crucial to government policy and public welfare.",
            
270
      "district_no": "0",
281
      "district_no": "0",
            
271
      "format": "CSV",
282
      "format": "CSV",
            
272
      "frequency": "Yearly",
283
      "frequency": "Yearly",
            
273
      "gp_no": "0",
284
      "gp_no": "0",
            
274
      "granularity": "All India",
285
      "granularity": "All India",
            
275
      "hash": "",
286
      "hash": "",
            
276
      "id": "dc937f1e-51f9-40f0-925b-a2499d7a647f",
287
      "id": "dc937f1e-51f9-40f0-925b-a2499d7a647f",
            
277
      "idp_ready": true,
288
      "idp_ready": true,
            
278
      "last_modified": "2024-09-02T12:09:59.582907",
289
      "last_modified": "2024-09-02T12:09:59.582907",
            
279
      "lgd_mapping": "na",
290
      "lgd_mapping": "na",
            
280
      "metadata_modified": "2024-09-02T12:12:02.173209",
291
      "metadata_modified": "2024-09-02T12:12:02.173209",
            
281
      "methodology": "The dataset is compiled and reported by the 
292
      "methodology": "The dataset is compiled and reported by the 
            
282
Ministry of Finance as part of the Union Budget documentation. ",
293
Ministry of Finance as part of the Union Budget documentation. ",
            
283
      "mimetype": null,
294
      "mimetype": null,
            
284
      "mimetype_inner": null,
295
      "mimetype_inner": null,
            
285
      "name": "Outlay on Major Schemes",
296
      "name": "Outlay on Major Schemes",
            
286
      "no_indicators": "1",
297
      "no_indicators": "1",
            
287
      "package_id": "ef93f547-13f6-49f9-837d-19e578f7a14d",
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      "package_id": "ef93f547-13f6-49f9-837d-19e578f7a14d",
            
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      "position": 3,
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      "position": 3,
            
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      "resource_type": null,
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      "resource_type": null,
            
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      "similar_resources": "",
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      "similar_resources": "",
            
291
      "size": 340784,
302
      "size": 340784,
            
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      "sku": "mof-ub_outlay_on_major_schemes-in-yr-aaa",
303
      "sku": "mof-ub_outlay_on_major_schemes-in-yr-aaa",
            
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      "state": "active",
304
      "state": "active",
            
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      "states_uts_no": "0",
305
      "states_uts_no": "0",
            
295
      "tehsil_no": "0",
306
      "tehsil_no": "0",
            
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      "url": 
307
      "url": 
            
297
f1e-51f9-40f0-925b-a2499d7a647f/download/outlay-on-major-schemes.csv",
308
f1e-51f9-40f0-925b-a2499d7a647f/download/outlay-on-major-schemes.csv",
            
298
      "url_type": "upload",
309
      "url_type": "upload",
            
299
      "years_covered": "2017-2025"
310
      "years_covered": "2017-2025"
            
300
    },
311
    },
            
301
    {
312
    {
            
302
      "additional_info": "nan",
313
      "additional_info": "nan",
            
303
      "cache_last_updated": null,
314
      "cache_last_updated": null,
            
304
      "cache_url": null,
315
      "cache_url": null,
            
305
      "created": "2024-09-02T12:10:22.864703",
316
      "created": "2024-09-02T12:10:22.864703",
            
306
      "data_extraction_page": 
317
      "data_extraction_page": 
            
307
"https://www.indiabudget.gov.in/previous_union_budget.php",
318
"https://www.indiabudget.gov.in/previous_union_budget.php",
            
308
      "data_insights": "Revenue Performance: The dataset allows for 
319
      "data_insights": "Revenue Performance: The dataset allows for 
            
309
the analysis of the government's revenue collection performance over 
320
the analysis of the government's revenue collection performance over 
            
310
different fiscal years, comparing actual receipts with budgeted and 
321
different fiscal years, comparing actual receipts with budgeted and 
            
311
revised estimates.Tax Composition: By categorizing tax receipts into 
322
revised estimates.Tax Composition: By categorizing tax receipts into 
            
312
direct and indirect taxes, as well as further sub-categories, the 
323
direct and indirect taxes, as well as further sub-categories, the 
            
313
dataset provides insights into the structure of the government's 
324
dataset provides insights into the structure of the government's 
            
314
revenue base.Trends and Patterns: Historical data can reveal trends in 
325
revenue base.Trends and Patterns: Historical data can reveal trends in 
            
315
tax revenue growth, the impact of policy changes, and shifts in the 
326
tax revenue growth, the impact of policy changes, and shifts in the 
            
316
reliance on different types of taxes.Policy Impact: The data can be 
327
reliance on different types of taxes.Policy Impact: The data can be 
            
317
used to assess the effectiveness of tax policies, reforms, and 
328
used to assess the effectiveness of tax policies, reforms, and 
            
318
measures introduced by the government, by analyzing changes in revenue 
329
measures introduced by the government, by analyzing changes in revenue 
            
319
collections under different tax heads.",
330
collections under different tax heads.",
            
320
      "data_last_updated": "2025-04-23 00:00:00",
331
      "data_last_updated": "2025-04-23 00:00:00",
            
321
      "data_retreival_date": "2025-04-23 00:00:00",
332
      "data_retreival_date": "2025-04-23 00:00:00",
            
322
      "datastore_active": true,
333
      "datastore_active": true,
            
323
      "description": "The dataset provides detailed information on tax 
334
      "description": "The dataset provides detailed information on tax 
            
324
revenues collected by the government, categorized under various heads. 
335
revenues collected by the government, categorized under various heads. 
            
325
It reflects the government's fiscal operations and its ability to 
336
It reflects the government's fiscal operations and its ability to 
            
326
generate revenue through different types of taxes.",
337
generate revenue through different types of taxes.",
            
327
      "district_no": "0",
338
      "district_no": "0",
            
328
      "format": "CSV",
339
      "format": "CSV",
            
329
      "frequency": "Yearly",
340
      "frequency": "Yearly",
            
330
      "gp_no": "0",
341
      "gp_no": "0",
            
331
      "granularity": "India",
342
      "granularity": "India",
            
332
      "hash": "",
343
      "hash": "",
            
333
      "id": "bec53f9e-fa78-4baa-8a17-e04929ac60e2",
344
      "id": "bec53f9e-fa78-4baa-8a17-e04929ac60e2",
            
334
      "idp_ready": true,
345
      "idp_ready": true,
            
335
      "last_modified": "2025-04-29T15:53:25.101745",
346
      "last_modified": "2025-04-29T15:53:25.101745",
            
336
      "lgd_mapping": "na",
347
      "lgd_mapping": "na",
            
337
      "metadata_modified": "2025-04-29T15:53:36.930098",
348
      "metadata_modified": "2025-04-29T15:53:36.930098",
            
338
      "methodology": "The dataset is compiled and reported by the 
349
      "methodology": "The dataset is compiled and reported by the 
            
339
Ministry of Finance as part of the Union Budget documentation. ",
350
Ministry of Finance as part of the Union Budget documentation. ",
            
340
      "mimetype": "text/csv",
351
      "mimetype": "text/csv",
            
341
      "mimetype_inner": null,
352
      "mimetype_inner": null,
            
342
      "name": "Tax Receipts",
353
      "name": "Tax Receipts",
            
343
      "no_indicators": "1",
354
      "no_indicators": "1",
            
344
      "package_id": "ef93f547-13f6-49f9-837d-19e578f7a14d",
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      "position": 4,
            
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      "similar_datasets": [],
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      "similar_datasets": [],
            
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      "similar_resources": "",
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      "similar_resources": "",
            
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      "size": 213604,
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      "size": 213604,
            
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      "sku": "mof-ub_tax_receipts-in-yr-ylo",
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      "sku": "mof-ub_tax_receipts-in-yr-ylo",
            
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      "state": "active",
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      "state": "active",
            
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      "states_uts_no": "0",
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      "states_uts_no": "0",
            
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      "tags": [
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      "tags": [
            
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        "Union Budget",
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        "Union Budget",
            
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        "Tax Revenue",
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        "Tax Revenue",
            
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        "Fiscal Policy",
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        "Fiscal Policy",
            
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        "Public Finance",
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        "Public Finance",
            
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        "Ministry of Finance",
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        "Ministry of Finance",
            
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        "Revenue Collection",
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        "Revenue Collection",
            
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        "India",
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        "India",
            
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        "Budget Estimates",
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        "Budget Estimates",
            
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        "Direct Taxes",
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        "Direct Taxes",
            
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        "Indirect Taxes"
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        "Indirect Taxes"
            
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      ],
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      "url": 
            
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      "url_type": "upload",
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      "years_covered": "2017-2025"
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      "years_covered": "2017-2025"
            
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    }
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    }
            
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  ],
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  ],
            
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  "sector": [
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  "sector": [
            
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    "Economy",
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    "Economy",
            
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    "General",
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    "General",
            
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    "Union Budget"
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    "Union Budget"
            
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  ],
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  ],
            
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  "source_name": "Ministry of Finance",
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  "source_name": "Ministry of Finance",
            
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  "state": "active",
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  "state": "active",
            
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  "title": "Union Budget",
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  "title": "Union Budget",
            
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  "type": "dataset",
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  "type": "dataset",
            
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  "url": "https://www.indiabudget.gov.in/",
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  "url": "https://www.indiabudget.gov.in/",
            
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  "version": null
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  "version": null
            
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}
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}