- Institution
- 경기도 고양시
- Department
- 주차교통과
○동산동388번지 일원 노상주차장 조성사업
Programme 노상주차장 조성
Amounts and period
- Budgeted amount
- 50,000,000 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 주차교통과 14,221,716,000 KRW0.4%
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Policy 편리하고 안전한 교통환경 조성(교통및물류/대중교통ㆍ물류등기타) 14,221,716,000 KRW0.4%
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Programme 주차편의제공(도시교통사업 특별회계) 3,562,226,000 KRW1.4%
-
Project 노상주차장 조성 50,000,000 KRW100.0%
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Budget category 시설비및부대비 50,000,000 KRW100.0%
-
Statistical item 시설비 50,000,000 KRW100.0%
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Item ○동산동388번지 일원 노상주차장 조성사업 50,000,000 KRW
- Category–statistical code
- 401-01
- Group
- Not provided in source
Original description
50,000,000원
Institution and programme names are shown as the original Korean source text.
Detailed budget items
1 itemsData source
View source document details
- Document ID
doc_5a092v424305ggep90jq9cb3ad- Source document status
- Available
- File type
- application/pdf
- File size
- 15,363.048 KiB
- Location inside the source
- Page 1,367 Row 2 Line 1 Column level4
Source and reference
FY 2023 release No source record
- Fiscal year of record
- 2023
- Fetched from the source
- 2026-07-29 20:24
- Read and interpreted
- 2026-07-29 20:24
- Query snapshot refreshed
- 2026-09-02 03:23
- Item ID
bi_4058zw10z43z8k5f1dpsy2afma- Address of this item
- /en/BudgetDetail/Item/bi_4058zw10z43z8k5f1dpsy2afma
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 “동산동388번지” · classification 401-01
No items with the same classification were found among the candidates checked.
AI analysis report
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