- Institution
- 서울특별시
- Department
- 도시교통본부 교통정책과
· 7호선 먹골역 5번출구 E/S 설치 설계용역비
Programme 지하철역 승강편의시설 설치
Amounts and period
- Budget amount
- 100,000,000 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 도시교통본부 교통정책과 1,156,221,026,000 KRW0.0%
-
Policy 교통체계 구축 및 개선 400,198,668,000 KRW0.0%
-
Programme 지하철 수송력 증대 및 시설개선(도시철도특) 367,684,767,000 KRW0.0%
-
Project 지하철역 승강편의시설 설치 33,493,000,000 KRW0.3%
-
Budget category 출자금 Present in the source but not extracted
-
Statistical item 출자금 Present in the source but not extracted
-
Item ㅇ 지하철역 승강 편의시설 설치 8,315,000,000 KRW1.2%
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Calculation line · 7호선 먹골역 5번출구 E/S 설치 설계용역비 100,000,000 KRW
- Category–statistical code
- 502-01
- Group
- Not provided in source
Original description
100,000,000원 = 100,000
Institution and programme names are shown as the original Korean source text.
Detailed budget items
3 itemsData source
-
Open source PDF
서울특별시 · FY2017 본예산 · 통합회계 · 588592cec8f104.49043087
Opens in a new window
- Page
- 9 / 63
- Document ID
doc_130a70tsbk27cjv1y000kvcz5m- Source document status
- Available
- File type
- application/pdf
- File size
- 383.084 KiB
- Location inside the source
- Page 9 Row 13 Line 36 Column page_text
Source and reference
FY 2017 release No source record
- Fiscal year of record
- 2017
- Fetched from the source
- 2026-07-29 17:48
- Read and interpreted
- 2026-07-29 19:21
- Query snapshot refreshed
- 2026-09-02 03:23
- Item ID
bi_3ev092avb6kvyvc7x6q7jdtdz1- Address of this item
- /en/BudgetDetail/Item/bi_3ev092avb6kvyvc7x6q7jdtdz1
Related records
Similar budgets
Keyword “설계용역비” · classification 502-01
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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