- Institution
- 경상북도 울릉군
- Department
- 농업기술센터
○벼농사체험행사및전문강사료
Programme 벼농사생태복원사업(자체)
Amounts and period
- Budget amount
- 3,000,000 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 농업기술센터 10,184,786,000 KRW0.0%
-
Policy 농업인 소득기반 구축 1,088,243,000 KRW0.3%
-
Programme 지역특화작목육성사업 218,584,000 KRW1.4%
-
Project 벼농사생태복원사업(자체) 45,738,000 KRW6.6%
-
Budget category 일반운영비 13,500,000 KRW22.2%
-
Statistical item 행사운영비 3,000,000 KRW100.0%
-
Item ○벼농사체험행사및전문강사료 3,000,000 KRW
- Category–statistical code
- 201-03
- Group
- Not provided in source
Original description
3,000,000원
Institution and programme names are shown as the original Korean source text.
Detailed budget items
5 itemsData source
-
Open source PDF
경상북도 울릉군 · FY2026 Supplementary budget (round unknown) · 주차장특별회계 · 16
Opens in a new window
- Page
- 613 / 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 613 Row 12 Line 10 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_3hcjwhq11vxd10wczbyvrc1h25- Address of this item
- /en/BudgetDetail/Item/bi_3hcjwhq11vxd10wczbyvrc1h25
Related records
Similar budgets
2 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 “벼농사체험행사및전문강사료” · classification 201-03
AI analysis report
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