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  • Fiscal year FY2015
  • 본예산
  • 일반회계
Institution
전라남도 무안군
Department
산림환경과

○ 매곡지구 소음방지용 방음벽 설치

Programme 산지관리

Amounts and period

Budgeted 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.

  1. Department 산림환경과 14,492,129,000 KRW
  2. Policy 산림재해방지 1,359,213,000 KRW
  3. Programme 산림자원보호 1,359,213,000 KRW
  4. Project 산지관리 100,000,000 KRW
  5. Budget category 시설비및부대비 100,000,000 KRW
  6. Statistical item 시설비 100,000,000 KRW
  7. Item ○ 매곡지구 소음방지용 방음벽 설치 100,000,000 KRW
Category–statistical code
401-01
Group
Not provided in source

Original description

100,000,000*1식

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

Detailed budget items

1 items
  1. ○ 매곡지구 소음방지용 방음벽 설치 401-01 Page 24 Selected item 100,000,000 KRW Opens in a new window

Data source

View source document details
Document ID
doc_69xq3zc2bd6phn14jjev71sdpz
Source document status
Available
File type
application/pdf
File size
488.13 KiB
Location inside the source
Page 24 Row 4 Line 1 Column level4

Source and reference

FY 2015 release No source record

Fiscal year of record
2015
Fetched from the source
2026-07-28 21:50
Read and interpreted
2026-07-28 21:50
Query snapshot refreshed
2026-09-02 03:23
Item ID
bi_7gc8n74fxgs08grfh88350vyh0
Address of this item
/en/BudgetDetail/Item/bi_7gc8n74fxgs08grfh88350vyh0

Related records

Institution
전라남도 무안군
Programme
산지관리

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 “소음방지용” · classification 401-01

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

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