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Institution
서울특별시
Department
도시공간본부 토지관리과

ㅇ학술용역비

Programme 디지털 지적(임야)도 품질개선(경계오류 정비)

Amounts and period

Budgeted amount
120,000,000 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.

  1. Department 도시공간본부 토지관리과 4,138,332,000 KRW
  2. Policy 도시계획관련 인프라 구축 4,072,287,000 KRW
  3. Programme 효율적 토지관리를 위한 인프라 구축 등 4,001,187,000 KRW
  4. Project 디지털 지적(임야)도 품질개선(경계오류 정비) 1,248,000,000 KRW
  5. Budget category 연구개발비 Present in the source but not extracted
  6. Statistical item 연구용역비 120,000,000 KRW
  7. Item ㅇ학술용역비 120,000,000 KRW
Category–statistical code
207-01
Group
Not provided in source

Original description

120,000,000원 = 120,000

Institution and programme names are shown as the original Korean source text.

Detailed budget items

2 items
  1. ㅇ학술용역비 207-01 Page 376 Selected item 120,000,000 KRW Opens in a new window
  2. ㅇ지적(임야)도 경계 오류 정비 지원 308-01 Page 376 -52,000,000 KRW Opens in a new window

Data source

View source document details
Document ID
doc_7r1z4wxg2c2yc73yayhxvztfgq
Source document status
Available
File type
application/pdf
File size
11,735.111 KiB
Location inside the source
Page 376 Row 13 Line 62 Column page_text

Source and reference

FY 2024 release No source record

Fiscal year of record
2024
Fetched from the source
2026-07-29 20:28
Read and interpreted
2026-07-29 20:28
Query snapshot refreshed
2026-09-02 03:23
Item ID
bi_617bvm6h3tth26333p35vy90g8

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 “ㅇ학술용역비” · classification 207-01

No items with the same classification were found among the candidates checked.

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