- Institution
- 경상북도 영덕군
- Department
- 도시디자인과
○벽지노선 손실보상금경정 433,607,000 원
Programme 벽지노선 지원사업(균특보조)
Amounts and period
- Budgeted amount
- 433,607,000 KRW
- 기정액
- 276,322,000 KRW
- Change
- +157,285,000 KRW +56.9%
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 도시디자인과 16,889,714,000 KRW2.6%
-
Policy 대중교통 육성 지원 6,920,996,000 KRW6.3%
-
Programme 대중교통 지원 4,809,104,000 KRW9.0%
-
Project 벽지노선 지원사업(균특보조) 433,607,000 KRW100.0%
-
Budget category 민간이전 433,607,000 KRW100.0%
-
Statistical item 운수업계보조금 433,607,000 KRW100.0%
-
Item ○벽지노선 손실보상금경정 433,607,000 원 433,607,000 KRW
- Category–statistical code
- 307-09
- Group
- Not provided in source
Original description
○벽지노선 손실보상금 경정 433,607,000 원
Institution and programme names are shown as the original Korean source text.
Detailed budget items
1 itemsData source
View source document details
- Document ID
doc_4xva6qzpx8mah60hq32709zdks- Source document status
- Available
- File type
- application/pdf
- File size
- 2,974.71 KiB
- Location inside the source
- Page 306 Row 11 Line 2 Column level4
Source and reference
FY 2023 release No source record
- Fiscal year of record
- 2023
- Fetched from the source
- 2026-07-29 20:24
- Read and interpreted
- 2026-07-29 20:24
- Query snapshot refreshed
- 2026-09-02 03:23
- Item ID
bi_1f9pq0pzs57y5bzdvb8fp5d3vj- Address of this item
- /en/BudgetDetail/Item/bi_1f9pq0pzs57y5bzdvb8fp5d3vj
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 “손실보상금경정” · classification 307-09
- ○벽지노선 손실보상금경정 734,910,000 KRW +11.5%
- ○벽지노선 손실보상금경정 892,614,000 KRW −9.9%
- ○벽지노선 손실보상금경정 412,206,000 KRW +2.9%
- ○벽지노선 손실보상금경정 676,564,000 KRW +2.9%
- ○벽지노선 손실보상금경정 270,545,000 KRW +2.7%
These items were verified within a limited set of name search results.
AI analysis report
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