- Institution
- 경기도 수원시
- Department
- 복지정책과
○의료급여수급권자 본인부담금 등 시군 현금급여
Programme 본인부담금 등 시군 현금급여 지원(국비)
Amounts and period
- Budgeted amount
- 1,645,210,000 KRW
- 기정액
- 1,501,500,000 KRW
- Change
- +143,710,000 KRW +9.6%
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 12,063,784,000 KRW13.6%
-
Policy 국민기초생활 보장 11,731,794,000 KRW14.0%
-
Programme 의료급여기금특별회계 운영(의료급여기금특별회계) 11,731,794,000 KRW14.0%
-
Project 본인부담금 등 시군 현금급여 지원(국비) 1,645,210,000 KRW100.0%
-
Budget category 민간이전 1,645,210,000 KRW100.0%
-
Statistical item 의료 및 회복비 1,645,210,000 KRW100.0%
-
Item ○의료급여수급권자 본인부담금 등 시군 현금급여 1,645,210,000 KRW
- Category–statistical code
- 307-01
- Group
- Not provided in source
Original description
○의료급여수급권자 본인부담금 등 시군 현 금급여 1,645,210,000원
Institution and programme names are shown as the original Korean source text.
Detailed budget items
1 itemsData source
-
Open source PDF
경기도 수원시 · FY2026 Supplementary budget (round unknown) · 통합회계 · Expenditure statement
Opens in a new window
- Page
- 569 / 595
View source document details
- Document ID
doc_2xpbwg7gtga9q4fdnfhkna0h45- Source document status
- Available
- File type
- application/pdf
- File size
- 6,787.637 KiB
- Location inside the source
- Page 569 Row 13 Line 2 Column level4
Source and reference
FY 2026 release No source record
- Fiscal year of record
- 2026
- Fetched from the source
- 2026-08-09 02:44
- Read and interpreted
- 2026-08-09 02:44
- Query snapshot refreshed
- 2026-09-02 03:23
- Item ID
bi_7a0dfjppaw0d8f09zz68t5e7br- Address of this item
- /en/BudgetDetail/Item/bi_7a0dfjppaw0d8f09zz68t5e7br
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 “의료급여수급권자” · classification 307-01
No items with the same classification were found among the candidates checked.
These items were verified within a limited set of name search results.
AI analysis report
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