- Institution
- 경상북도 울릉군
- Department
- 안전건설단
○재난대비훈련참가자급식
Programme 재난대비훈련
Amounts and period
- Budgeted amount
- 2,430,000 KRW
- 전년도예산액
- Present in the source but not extracted
- Change
- Not comparable
Changes are calculated only when both amounts are known in full. No percentage is calculated when the comparison amount is zero.
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 안전건설단 19,517,356,000 KRW0.0%
-
Policy 안전울릉실현 1,912,146,000 KRW0.1%
-
Programme 재난예방및대응능력강화 165,125,000 KRW1.5%
-
Project 재난대비훈련 8,430,000 KRW28.8%
-
Budget category 일반보전금 2,430,000 KRW100.0%
-
Statistical item 행사실비지원금 2,430,000 KRW100.0%
-
Item ○재난대비훈련참가자급식 2,430,000 KRW
- Category–statistical code
- 301-11
- Group
- Not provided in source
Original description
9,000원*30명*3회*3일
Institution and programme names are shown as the original Korean source text.
Detailed budget items
4 itemsData source
-
Open source PDF
경상북도 울릉군 · FY2026 Supplementary budget (round unknown) · 주차장특별회계 · 16
Opens in a new window
- Page
- 203 / 866
View source document details
- Document ID
doc_0mpkzmbqkyjjh0qm84x4x4yzbb- Source document status
- Available
- File type
- application/pdf
- File size
- 17,331.867 KiB
- Location inside the source
- Page 203 Row 4 Line 2 Column level4
Source and reference
FY 2026 release No source record
- Fiscal year of record
- 2026
- Fetched from the source
- 2026-08-09 02:47
- Read and interpreted
- 2026-08-09 02:47
- Query snapshot refreshed
- 2026-09-02 03:23
- Item ID
bi_45tav41dhs20wnwzst1sac7wbe- Address of this item
- /en/BudgetDetail/Item/bi_45tav41dhs20wnwzst1sac7wbe
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 “재난대비훈련참가자급식” · classification 301-11
AI analysis report
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