- Institution
- 전라남도 보성군
- Department
- 환경생태과
ㅇ수질오염배출시설 지도점검 급량비
Programme 환경오염행위 사전예방
Amounts and period
- Budgeted amount
- 1,056,000 KRW
- 기정액
- 1,600,000 KRW
- Change
- −544,000 KRW −34.0%
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 환경생태과 43,325,261,000 KRW0.0%
-
Policy 환경정책 종합 지원 1,000,323,000 KRW0.1%
-
Programme 쾌적한 환경조성 728,403,000 KRW0.1%
-
Project 환경오염행위 사전예방 101,867,000 KRW1.0%
-
Budget category 일반운영비 35,527,000 KRW3.0%
-
Statistical item 사무관리비 31,384,000 KRW3.4%
-
Item ㅇ수질오염배출시설 지도점검 급량비 1,056,000 KRW
- Category–statistical code
- 201-01
- Group
- Not provided in source
Original description
8,000원*3명*44일
Institution and programme names are shown as the original Korean source text.
Detailed budget items
7 items- ㅇ수질오염배출시설 지도점검 급량비 1,056,000 KRW Opens in a new window
- ○일반수용비 24,384,000 KRW Opens in a new window
- ㅇ가축사육제한구역 지형도면고시 공고문 일간신문 게재비 4,400,000 KRW Opens in a new window
- ○급량비 4,000,000 KRW Opens in a new window
- ㅇ대기오염배출시설 지도점검 급량비 1,032,000 KRW Opens in a new window
- ㅇ가축분뇨배출사업장 지도점검 급량비 1,032,000 KRW Opens in a new window
- ㅇ악취발생사업장 지도점검 급량비 880,000 KRW Opens in a new window
Data source
View source document details
- Document ID
doc_2y14ebd59vjb9adx1dt9qdy9cv- Source document status
- Available
- File type
- application/pdf
- File size
- 121.016 KiB
- Location inside the source
- Page 1 Row 12 Line 5 Column level4
Source and reference
FY 2020 release No source record
- Fiscal year of record
- 2020
- Fetched from the source
- 2026-07-28 21:57
- Read and interpreted
- 2026-07-28 21:57
- Query snapshot refreshed
- 2026-09-02 03:23
- Item ID
bi_59tt389mntgk3dbk0cyaw4bk9n- Address of this item
- /en/BudgetDetail/Item/bi_59tt389mntgk3dbk0cyaw4bk9n
Related records
Similar budgets
5 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 “ㅇ수질오염배출시설” · classification 201-01
AI analysis report
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