- Institution
- 서울특별시
- Department
- 기후환경본부 녹색에너지과
· (금천구) 융복합지원사업 태양광 398kW(주택195, 건물203)
Programme 신재생에너지 융복합지원
Amounts and period
- Budgeted amount
- 163,338,000 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 기후환경본부 녹색에너지과 13,973,654,000 KRW1.2%
-
Policy 에너지 생산·소비 최적화 13,836,232,000 KRW1.2%
-
Programme 신재생에너지 보급 6,054,752,000 KRW2.7%
-
Project 신재생에너지 융복합지원 364,987,000 KRW44.8%
-
Budget category 자치단체등자본이전 Present in the source but not extracted
-
Statistical item 자치단체자본보조 364,987,000 KRW44.8%
-
Item ㅇ 신재생에너지 융복합 지원(區 추진사업) 364,987,000 KRW44.8%
-
Calculation line · (금천구) 융복합지원사업 태양광 398kW(주택195, 건물203) 163,338,000 KRW
- Category–statistical code
- 403-01
- Group
- Not provided in source
Original description
163,338,000원 = 163,338
Institution and programme names are shown as the original Korean source text.
Detailed budget items
1 itemsData source
-
Open source PDF
서울특별시 · FY2026 본예산 · 통합회계 · 6a2b6b381544d9.03369784
Opens in a new window
- Page
- 14 / 52
- Document ID
doc_30mqqr109pw57ptfe30g1ne2p8- Source document status
- Available
- File type
- application/pdf
- File size
- 545.993 KiB
- Location inside the source
- Page 14 Row 12 Line 31 Column page_text
Source and reference
FY 2026 release No source record
- Fiscal year of record
- 2026
- Fetched from the source
- 2026-07-29 19:10
- Read and interpreted
- 2026-07-29 19:10
- Query snapshot refreshed
- 2026-09-02 03:23
- Item ID
bi_59d5my5455ja7shm3s54t4y6mn- Address of this item
- /en/BudgetDetail/Item/bi_59d5my5455ja7shm3s54t4y6mn
Related records
Similar budgets
Keyword “융복합지원사업” · classification 403-01
No items with the same classification were found among the candidates checked.
These items were verified within a limited set of name search results.
AI analysis report
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