- Institution
- 광주광역시 서구
- Department
- 감사담당관
○악성민원대응공무원치유워크숍
Programme 특이민원대응
Amounts and period
- Budgeted amount
- 20,000,000 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.
-
Department 감사담당관 386,788,000 KRW5.2%
-
Policy 깨끗하고투명한행정구현 368,648,000 KRW5.4%
-
Programme 특이민원대응및민원공무원보호 28,550,000 KRW70.1%
-
Project 특이민원대응 28,550,000 KRW70.1%
-
Budget category 일반운영비 28,550,000 KRW70.1%
-
Statistical item 사무관리비 27,550,000 KRW72.6%
-
Item ○악성민원대응공무원치유워크숍 20,000,000 KRW
- Category–statistical code
- 201-01
- 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
4 itemsData source
-
Open source PDF
광주광역시 서구 · FY2026 본예산 · 일반회계 · 2026년 일반회계 세출예산 사업명세서-감사담당관
Opens in a new window
- Page
- 5 / 6
View source document details
- Document ID
doc_7cwkx7f5v9n7v7q1b5mmv055gd- Source document status
- Available
- File type
- application/pdf
- File size
- 77.399 KiB
- Location inside the source
- Page 5 Row 18 Line 2 Column level4
Source and reference
FY 2026 release No source record
- Fiscal year of record
- 2026
- Fetched from the source
- 2026-07-28 22:08
- Read and interpreted
- 2026-07-28 22:08
- Query snapshot refreshed
- 2026-09-02 03:23
- Item ID
bi_0b03n343sam0eaf3hf8ex4kfq4- Address of this item
- /en/BudgetDetail/Item/bi_0b03n343sam0eaf3hf8ex4kfq4
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 “악성민원대응공무원치유워크숍” · classification 201-01
AI analysis report
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