- Institution
- 대구광역시 중구
- Department
- 복지정책과
◎ 저소득노인성인용보행기지원
Programme 저소득노인성인용보행기지원
Amounts and period
- Budgeted amount
- 1,400,000 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 복지정책과 161,297,368,000 KRW0.0%
-
Policy 노인복지구현 94,591,854,000 KRW0.0%
-
Programme 경로당운영및노인복지사업지원 26,575,234,000 KRW0.0%
-
Project 저소득노인성인용보행기지원 1,400,000 KRW100.0%
-
Budget category 일반보전금 1,400,000 KRW100.0%
-
Statistical item 사회보장적수혜금(지방재원) 1,400,000 KRW100.0%
-
Item ◎ 저소득노인성인용보행기지원 1,400,000 KRW
- Category–statistical code
- 301-03
- Group
- Not provided in source
Original description
200,000원*7명
Institution and programme names are shown as the original Korean source text.
Detailed budget items
1 itemsData source
-
Open source PDF
대구광역시 중구 · FY2026 본예산 · 통합회계 · FY2026 예산서(대구 중구)
Opens in a new window
- Page
- 352 / 718
View source document details
- Document ID
doc_035d1d7dpjj864ww6gh0d0cd7j- Source document status
- Available
- File type
- application/pdf
- File size
- 28,116.981 KiB
- Location inside the source
- Page 352 Row 16 Line 2 Column level4
Source and reference
FY 2026 release No source record
- Fiscal year of record
- 2026
- Fetched from the source
- 2026-07-29 20:39
- Read and interpreted
- 2026-07-29 20:39
- Query snapshot refreshed
- 2026-09-02 03:23
- Item ID
bi_311twypc6hbk7karfz3y07ppsb- Address of this item
- /en/BudgetDetail/Item/bi_311twypc6hbk7karfz3y07ppsb
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 “저소득노인성인용보행기지원” · classification 301-03
No items with the same classification were found among the candidates checked.
AI analysis report
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