- Institution
- 대구광역시 달서구
- Department
- 총무과
○국민건강보험부담금경정
Programme 인력운영비(기관공통)
Amounts and period
- Budgeted amount
- 2,683,920,000 KRW
- 기정액
- 2,940,909,000 KRW
- Change
- −256,989,000 KRW −8.7%
Programme hierarchy and share
The selected item’s share of each parent budget, calculated from amounts in the same source document.
A share is not calculated for missing or partial amounts, non-positive parent amounts, or an item amount greater than its parent.
-
Department 총무과 87,323,127,000 KRW3.1%
-
Policy 행정운영경비 71,754,828,000 KRW3.7%
-
Programme 인력운영비(기관공통) 70,466,384,000 KRW3.8%
-
Project 인력운영비(기관공통) 70,466,384,000 KRW3.8%
-
Budget category 연금부담금등 20,445,446,000 KRW13.1%
-
Statistical item 국민건강보험금 3,027,731,000 KRW88.6%
-
Item ○국민건강보험부담금경정 2,683,920,000 KRW
- Category–statistical code
- 304-02
- Group
- Not provided in source
Original description
○국민건강보험부담금 경정 2,683,920,000원
Institution and programme names are shown as the original Korean source text.
Detailed budget items
4 itemsData source
View source document details
- Document ID
doc_50653k88h2d3y0b2nsx48kg1d4- Source document status
- Available
- File type
- application/pdf
- File size
- 130.77 KiB
- Location inside the source
- Page 6 Row 6 Line 5 Column level4
Source and reference
FY 2024 release No source record
- Fiscal year of record
- 2024
- Fetched from the source
- 2026-07-29 18:48
- Read and interpreted
- 2026-07-29 18:48
- Query snapshot refreshed
- 2026-09-02 03:23
- Item ID
bi_6vyteskcy1dwyp2qmb0yzj8v0q- Address of this item
- /en/BudgetDetail/Item/bi_6vyteskcy1dwyp2qmb0yzj8v0q
Related records
Similar budgets
5 itemsItems share the same budget classification and a related name. Different years may be included. The name search uses the keyword without a classification filter.
Keyword “국민건강보험부담금경정” · classification 304-02
- ○국민건강보험부담금경정 21,962,000 KRW −29.7%
- ○국민건강보험부담금경정 1,925,056,000 KRW −2.0%
- ○국민건강보험부담금경정 12,255,000 KRW
- ○국민건강보험부담금경정 1,573,000 KRW
- ○국민건강보험부담금경정 11,075,000 KRW
These items were verified within a limited set of name search results.
AI analysis report
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