- Institution
- 대전광역시 유성구
- Department
- 건설과
-행정대집행등공상치료비
Programme 도로노점상방지
Amounts and period
- Budgeted amount
- 1,000,000 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 건설과 13,998,508,000 KRW0.0%
-
Policy 도로 관리 11,147,376,000 KRW0.0%
-
Programme 도로유지관리 2,598,894,000 KRW0.0%
-
Project 도로노점상방지 86,050,000 KRW1.2%
-
Budget category 일반운영비 13,370,000 KRW7.5%
-
Statistical item 공공운영비 1,000,000 KRW100.0%
-
Item ○공무원을대상으로한의료비 1,000,000 KRW100.0%
-
Calculation line -행정대집행등공상치료비 1,000,000 KRW
- Category–statistical code
- 201-02
- Group
- Not provided in source
Original description
1,000,000원
Institution and programme names are shown as the original Korean source text.
Detailed budget items
5 itemsData source
-
Open source PDF
대전광역시 유성구 · FY2023 본예산 · 일반회계 · 2-27. 세출예산사업명세서(건설과)
Opens in a new window
- Page
- 4 / 15
View source document details
- Document ID
doc_10tvh7qge2dcc3jn0m3rjhn55s- Source document status
- Available
- File type
- application/pdf
- File size
- 204.281 KiB
- Location inside the source
- Page 4 Row 2 Line 5 Column level4
Source and reference
FY 2023 release No source record
- Fiscal year of record
- 2023
- Fetched from the source
- 2026-07-29 18:39
- Read and interpreted
- 2026-07-29 18:39
- Query snapshot refreshed
- 2026-09-02 03:23
- Item ID
bi_3pxfbz21xxt6gve2vbb8n1s8es- Address of this item
- /en/BudgetDetail/Item/bi_3pxfbz21xxt6gve2vbb8n1s8es
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 “행정대집행등공상치료비” · classification 201-02
AI analysis report
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