- Institution
- 경기도 화성시
- Department
- 세정과
○체납차량 통합단속시스템 유지보수비(12월)
Programme 공매처분 및 번호판영치 유지관리
Amounts and period
- Budgeted amount
- 4,800,000 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 세정과 1,109,263,000 KRW0.4%
-
Policy 지방세체납액 최소화 516,557,000 KRW0.9%
-
Programme 체납액 정리 516,557,000 KRW0.9%
-
Project 공매처분 및 번호판영치 유지관리 13,560,000 KRW35.4%
-
Budget category 일반운영비 13,560,000 KRW35.4%
-
Statistical item 공공운영비 13,560,000 KRW35.4%
-
Item ○체납차량 통합단속시스템 유지보수비(12월) 4,800,000 KRW
- Category–statistical code
- 201-02
- Group
- Not provided in source
Original description
4,800,000원*1대
Institution and programme names are shown as the original Korean source text.
Detailed budget items
3 itemsData source
-
Open source PDF
경기도 화성시 · FY2012 본예산 · 일반회계 · U_IL190729184947021
Opens in a new window
- Page
- 80 / 536
View source document details
- Document ID
doc_6e9nxet173b6qbeasybb2atzq0- Source document status
- Available
- File type
- application/pdf
- File size
- 3,059.453 KiB
- Location inside the source
- Page 80 Row 4 Line 4 Column level4
Source and reference
FY 2012 release No source record
- Fiscal year of record
- 2012
- Fetched from the source
- 2026-07-29 19:57
- Read and interpreted
- 2026-07-29 19:57
- Query snapshot refreshed
- 2026-09-02 03:23
- Item ID
bi_3a9vxd72vk9pywqbzxxtrwd449- Address of this item
- /en/BudgetDetail/Item/bi_3a9vxd72vk9pywqbzxxtrwd449
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 “통합단속시스템” · classification 201-02
AI analysis report
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