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Institution
충청남도 공주시
Department
산림공원과

○ 제초사업 차량피해액 수리 보상금

Programme 시가지와 어우러진 도로변 꽃길조성

Amounts and period

Budget amount
5,000,000 KRW
기정액
0 KRW
Change
+5,000,000 KRW

A zero here is what the source recorded. Missing values are never folded into zero.

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 산림공원과 35,675,772,000 KRW
  2. Policy 푸른 도시 건설 13,018,091,000 KRW
  3. Programme 녹지조경 4,195,914,000 KRW
  4. Project 시가지와 어우러진 도로변 꽃길조성 1,380,360,000 KRW
  5. Budget category 일반보전금 5,000,000 KRW
  6. Statistical item 기타보상금 5,000,000 KRW
  7. Item ○ 제초사업 차량피해액 수리 보상금 5,000,000 KRW
Category–statistical code
301-14
Group
Not provided in source

Original description

5,000,000원*1식

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

Detailed budget items

2 items
  1. ○ 제초사업 차량피해액 수리 보상금 301-14 Page 152 Selected item 5,000,000 KRW Opens in a new window
  2. ○ 차량·기계 유지관리 및 공공요금 201-02 Page 152 60,000,000 KRW Opens in a new window

Data source

View source document details
Document ID
doc_3ah12kzq645w3gn334ghv6kpwh
Source document status
Available
File type
application/pdf
File size
2,395.139 KiB
Location inside the source
Page 152 Row 13 Line 2 Column level4

Source and reference

FY 2024 release No source record

Fiscal year of record
2024
Fetched from the source
2026-07-29 18:51
Read and interpreted
2026-07-29 18:51
Query snapshot refreshed
2026-11-14 09:03
Item ID
bi_2jsdyh5s0p2ntt0stakrh0v84z

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 “차량피해액” · classification 301-14

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

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