- Institution
- 인천광역시 서구
- Department
- 자원순환과
― 국민연금본인부담금 548,000원*3명*12월
Programme 드림파크로 운영
Amounts and period
- Budgeted amount
- 19,728,000 KRW
- 기정액
- 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 자원순환과 33,210,351,000 KRW0.1%
-
Policy 깨끗한 도시환경 조성 24,112,957,000 KRW0.1%
-
Programme 깨끗한 거리 조성 16,522,450,000 KRW0.1%
-
Project 드림파크로 운영 252,934,000 KRW7.8%
-
Budget category 인건비 195,269,000 KRW10.1%
-
Statistical item 기간제근로자등보수 195,269,000 KRW10.1%
-
Item ○드림파크로환경미화원 인건비(성립전 포함) 193,772,000 KRW10.2%
-
Calculation line ― 국민연금본인부담금 548,000원*3명*12월 19,728,000 KRW
- Category–statistical code
- 101-04
- 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
1 itemsData source
View source document details
- Document ID
doc_4e1mh1k22t9mp1bwb1jf9h2qxc- Source document status
- Available
- File type
- application/pdf
- File size
- 182.288 KiB
- Location inside the source
- Page 3 Row 2 Line 14 Column level4
Source and reference
FY 2017 release No source record
- Fiscal year of record
- 2017
- Fetched from the source
- 2026-07-29 17:48
- Read and interpreted
- 2026-07-29 17:48
- Query snapshot refreshed
- 2026-09-02 03:23
- Item ID
bi_6aydkjxhtms6713k73cn2vkyf2- Address of this item
- /en/BudgetDetail/Item/bi_6aydkjxhtms6713k73cn2vkyf2
Related records
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 “국민연금본인부담금” · classification 101-04
No items with the same classification were found among the candidates checked.
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