- Institution
- 대구광역시 중구
- Department
- 교통과
◎ 불법주정차단속CCTV교체
Programme 불법주차단속CCTV설치
Amounts and period
- Budgeted amount
- 80,500,000 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 교통과 2,502,980,000 KRW3.2%
-
Policy 선진교통문화창달 1,595,756,000 KRW5.0%
-
Programme 교통소통및주차질서확립 822,521,000 KRW9.8%
-
Project 불법주차단속CCTV설치 80,500,000 KRW100.0%
-
Budget category 시설비및부대비 80,500,000 KRW100.0%
-
Statistical item 시설비 80,500,000 KRW100.0%
-
Item ◎ 불법주정차단속CCTV교체 80,500,000 KRW
- Category–statistical code
- 401-01
- Group
- Not provided in source
Original description
3,500,000원*23대
Institution and programme names are shown as the original Korean source text.
Detailed budget items
1 itemsData source
-
Open source PDF
대구광역시 중구 · FY2026 본예산 · 통합회계 · FY2026 예산서(대구 중구)
Opens in a new window
- Page
- 509 / 718
View source document details
- Document ID
doc_035d1d7dpjj864ww6gh0d0cd7j- Source document status
- Available
- File type
- application/pdf
- File size
- 28,116.981 KiB
- Location inside the source
- Page 509 Row 9 Line 2 Column level4
Source and reference
FY 2026 release No source record
- Fiscal year of record
- 2026
- Fetched from the source
- 2026-07-29 20:39
- Read and interpreted
- 2026-07-29 20:39
- Query snapshot refreshed
- 2026-09-02 03:23
- Item ID
bi_2zh7td1ey3a1dfvaxmfcsqg057- Address of this item
- /en/BudgetDetail/Item/bi_2zh7td1ey3a1dfvaxmfcsqg057
Related records
Similar budgets
Items 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 “불법주정차단속CCTV교체” · classification 401-01
No items with the same classification were found among the candidates checked.
AI analysis report
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