- Institution
- 서울특별시 용산구
- Department
- 부동산정보과
○지적이용현황조사비
Programme 지적공부 관리
Amounts and period
- Budget amount
- 52,307,000 KRW
- 기정액
- 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 부동산정보과 490,645,000 KRW10.7%
-
Policy 부동산관리의 효율화(일반공공행정/일반행정) 353,349,000 KRW14.8%
-
Programme 지적공부 관리 131,001,000 KRW39.9%
-
Project 지적공부 관리 131,001,000 KRW39.9%
-
Budget category 일반운영비 104,393,000 KRW50.1%
-
Statistical item 사무관리비 103,600,000 KRW50.5%
-
Item ○지적이용현황조사비 52,307,000 KRW
- Category–statistical code
- 201-01
- Group
- Not provided in source
Original description
46,000원*400필지*1.1
Institution and programme names are shown as the original Korean source text.
Detailed budget items
2 itemsData source
-
Open source PDF
서울특별시 용산구 · FY2023 본예산 · 일반회계 · 2023년도 사업예산서(2023.1.1. 조직개편사항 반영)
Opens in a new window
- Page
- 688 / 900
View source document details
- Document ID
doc_3m8qbf8htnn3r1bwh4q73zm0d8- Source document status
- Available
- File type
- application/pdf
- File size
- 6,878.214 KiB
- Location inside the source
- Page 688 Row 13 Line 6 Column level5
Source and reference
FY 2023 release No source record
- Fiscal year of record
- 2023
- Fetched from the source
- 2026-07-29 18:40
- Read and interpreted
- 2026-07-29 18:40
- Query snapshot refreshed
- 2026-09-02 03:23
- Item ID
bi_40dpdxevm2m6ts7dj6yf0e5v5x- Address of this item
- /en/BudgetDetail/Item/bi_40dpdxevm2m6ts7dj6yf0e5v5x
Related records
Similar budgets
4 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 “지적이용현황조사비” · classification 201-01
AI analysis report
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