- Institution
- 경기도 화성시
- Department
- 정남면
○읍면동지역사회보장협의체위원 회의참석수당
Programme 읍면동 지역사회보장협의체 운영
Amounts and period
- Budget amount
- 1,920,000 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 정남면 1,517,319,000 KRW0.1%
-
Policy 정남면 사업경비 1,413,219,000 KRW0.1%
-
Programme 주민행정 편의도모 385,929,000 KRW0.5%
-
Project 읍면동 지역사회보장협의체 운영 1,920,000 KRW100.0%
-
Budget category 일반운영비 1,920,000 KRW100.0%
-
Statistical item 사무관리비 1,920,000 KRW100.0%
-
Item ○읍면동지역사회보장협의체위원 회의참석수당 1,920,000 KRW
- Category–statistical code
- 201-01
- Group
- Not provided in source
Original description
20,000원*16명*6회
Institution and programme names are shown as the original Korean source text.
Detailed budget items
1 itemsData source
-
Open source PDF
경기도 화성시 · FY2019 본예산 · 일반회계 · 2019_02
Opens in a new window
- Page
- 1,044 / 1,129
View source document details
- Document ID
doc_01d48xgcxmrdgch0wvkkc0qt0x- Source document status
- Available
- File type
- application/pdf
- File size
- 21,334.415 KiB
- Location inside the source
- Page 1,044 Row 8 Line 1 Column level4
Source and reference
FY 2019 release No source record
- Fiscal year of record
- 2019
- Fetched from the source
- 2026-07-29 20:11
- Read and interpreted
- 2026-07-29 20:11
- Query snapshot refreshed
- 2026-09-02 03:23
- Item ID
bi_1gbrf1fqba3stqesfhtgvytg3j- Address of this item
- /en/BudgetDetail/Item/bi_1gbrf1fqba3stqesfhtgvytg3j
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 “읍면동지역사회보장협의체위원” · classification 201-01
AI analysis report
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