- Institution
- 경기도 화성시
- Department
- 동부건강증진과
ㅇ건강생활실천사업경정
Programme 지역사회 통합건강증진사업
Amounts and period
- Budgeted amount
- 21,500,000 KRW
- 기정액
- 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 동부건강증진과 8,725,820,000 KRW0.2%
-
Policy 시민행복 건강도시 구현 8,536,314,000 KRW0.3%
-
Programme 건강증진 활성화 228,846,000 KRW9.4%
-
Project 지역사회 통합건강증진사업 124,800,000 KRW17.2%
-
Budget category 일반운영비 44,080,000 KRW48.8%
-
Statistical item 행사운영비 24,500,000 KRW87.8%
-
Item ㅇ건강생활실천사업경정 21,500,000 KRW
- Category–statistical code
- 201-03
- Group
- Not provided in source
Original description
ㅇ건강생활실천사업 경정 21,500,000원
Institution and programme names are shown as the original Korean source text.
Detailed budget items
5 itemsData source
-
Open source PDF
경기도 화성시 · FY2025 본예산 · 통합회계 · W_SIZE251010132517011
Opens in a new window
- Page
- 640 / 743
View source document details
- Document ID
doc_0qa5sck0t5aetqekt730cwnzwk- Source document status
- Available
- File type
- application/pdf
- File size
- 4,779.727 KiB
- Location inside the source
- Page 640 Row 11 Line 7 Column level4
Source and reference
FY 2025 release No source record
- Fiscal year of record
- 2025
- Fetched from the source
- 2026-07-29 20:33
- Read and interpreted
- 2026-07-29 20:33
- Query snapshot refreshed
- 2026-09-02 03:23
- Item ID
bi_47ss59zm3kz455mntz8bfcte5b- Address of this item
- /en/BudgetDetail/Item/bi_47ss59zm3kz455mntz8bfcte5b
Related records
Similar budgets
1 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 “ㅇ건강생활실천사업경정” · classification 201-03
AI analysis report
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