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Institution
부산광역시 부산진구
Department
복지사업과

○한부모가족자녀 학용품비ㆍ교통비

Programme 한부모가족 시비지원사업

Amounts and period

Budget amount
192,330,000 KRW
기정액
0 KRW
Change
+192,330,000 KRW

A zero here is what the source recorded. Missing values are never folded into zero.

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.

  1. Department 복지사업과 297,600,286,000 KRW
  2. Policy 여성권익증진 활성화 사업 14,166,029,000 KRW
  3. Programme 여성복지증진 14,156,939,000 KRW
  4. Project 한부모가족 시비지원사업 192,330,000 KRW
  5. Budget category 일반보전금 192,330,000 KRW
  6. Statistical item 사회보장적수혜금(취약계층, 지방재원) 192,330,000 KRW
  7. Item ○한부모가족자녀 학용품비ㆍ교통비 192,330,000 KRW
Category–statistical code
301-02
Group
Not provided in source

Original description

192,330,000원

Institution and programme names are shown as the original Korean source text.

Detailed budget items

2 items
  1. ○한부모가족자녀 학용품비ㆍ교통비 301-02 Page 2 Selected item 192,330,000 KRW Opens in a new window
  2. ○한부모가족자녀 학용품비ㆍ교통비경정 301-03 Page 2 0 KRW Opens in a new window

Data source

View source document details
Document ID
doc_7kwx311fznfy7nr7ytdxwnnkbg
Source document status
Available
File type
application/pdf
File size
204.415 KiB
Location inside the source
Page 2 Row 2 Line 1 Column level4

Source and reference

FY 2023 release No source record

Fiscal year of record
2023
Fetched from the source
2026-07-29 12:12
Read and interpreted
2026-07-29 12:12
Query snapshot refreshed
2026-11-15 07:36
Item ID
bi_62r8e5cp6xbhhqdsp8sdknhftm

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 “학용품비ㆍ교통비” · classification 301-02

No items with the same classification were found among the candidates checked.

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