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Institution
전라남도 장흥군
Department
회진면

○ 인건비 80,240원*1명*260일

Programme 종합복지회관 운영

Amounts and period

Budgeted amount
20,863,000 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 회진면 430,199,000 KRW
  2. Policy 지역개발 99,563,000 KRW
  3. Programme 복지회관 시설물 관리 42,863,000 KRW
  4. Project 종합복지회관 운영 42,863,000 KRW
  5. Budget category 민간이전 42,863,000 KRW
  6. Statistical item 민간위탁금 42,863,000 KRW
  7. Item ○ 인건비 80,240원*1명*260일 20,863,000 KRW
Category–statistical code
307-05
Group
Not provided in source

Original description

Not provided in source

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

Detailed budget items

3 items
  1. ○ 인건비 80,240원*1명*260일 307-05 Page 3 Selected item 20,863,000 KRW Opens in a new window
  2. ○ 공공요금(전기, 상수도) 307-05 Page 3 12,000,000 KRW Opens in a new window
  3. ○ 유지보수비 10,000,000원 307-05 Page 3 10,000,000 KRW Opens in a new window

Data source

View source document details
Document ID
doc_3nxkj3wzmcj33ggx8r608ghzv4
Source document status
Available
File type
application/pdf
File size
94.767 KiB
Location inside the source
Page 3 Row 21 Line 2 Column level4

Source and reference

FY 2026 release No source record

Fiscal year of record
2026
Fetched from the source
2026-08-09 02:49
Read and interpreted
2026-08-09 02:49
Query snapshot refreshed
2026-09-02 03:23
Item ID
bi_2gfq01yvz3a58c9mem43ra1yaz

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 “인건비” · classification 307-05

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

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