- Institution
- 경상북도 울릉군
- Department
- 안전건설단
○민방위화생방방독면구입
Programme 민방위역량강화(방독면)
Amounts and period
- Budgeted amount
- 3,360,000 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 KRW0.2%
-
Programme 민방위 역랑 제고 173,487,000 KRW1.9%
-
Project 민방위역량강화(방독면) 3,360,000 KRW100.0%
-
Budget category 일반운영비 3,360,000 KRW100.0%
-
Statistical item 사무관리비 3,360,000 KRW100.0%
-
Item ○민방위화생방방독면구입 3,360,000 KRW
- Category–statistical code
- 201-01
- Group
- Not provided in source
Original description
3,360,000원
Institution and programme names are shown as the original Korean source text.
Detailed budget items
1 itemsData source
-
Open source PDF
경상북도 울릉군 · FY2026 Supplementary budget (round unknown) · 주차장특별회계 · 16
Opens in a new window
- Page
- 209 / 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 209 Row 9 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_7f8j86sa2hjydne565r533cnyc- Address of this item
- /en/BudgetDetail/Item/bi_7f8j86sa2hjydne565r533cnyc
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 “민방위화생방방독면구입” · classification 201-01
AI analysis report
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