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  • Fiscal year FY2020
  • 1회 추경
  • 통합회계
Institution
경기도 양주시
Department
여성보육과

○지역아동센터 문자알림서비스경정

Programme 지역아동센터 출결문자알림시스템 지원

Amounts and period

Budgeted amount
1,800,000 KRW
기정액
9,051,000 KRW
Change
−7,251,000 KRW −80.1%

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 여성보육과 101,627,479,000 KRW
  2. Policy 저소득층 아동복지 증진 28,730,724,000 KRW
  3. Programme 아동복지지원 28,357,714,000 KRW
  4. Project 지역아동센터 출결문자알림시스템 지원 9,051,000 KRW
  5. Budget category 민간이전 1,800,000 KRW
  6. Statistical item 사회복지사업보조 1,800,000 KRW
  7. Item ○지역아동센터 문자알림서비스경정 1,800,000 KRW
Category–statistical code
307-11
Group
Not provided in source

Original description

○지역아동센터 문자알림서비스 경정 1,800,000원*1회

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

Detailed budget items

2 items
  1. ○지역아동센터 문자알림서비스경정 307-11 Page 185 Selected item 1,800,000 KRW Opens in a new window
  2. ○지역아동센터 문자알림서비스 201-02 Page 185 7,251,000 KRW Opens in a new window

Data source

View source document details
Document ID
doc_6kfxrkq9sm7g4qc1fjdypsx56m
Source document status
Available
File type
application/pdf
File size
16,404.536 KiB
Location inside the source
Page 185 Row 12 Line 1 Column level4

Source and reference

FY 2020 release No source record

Fiscal year of record
2020
Fetched from the source
2026-07-29 20:12
Read and interpreted
2026-07-29 20:12
Query snapshot refreshed
2026-09-02 03:23
Item ID
bi_1ggz9dxczq8hk40fcpb4sxafbc
Address of this item
/en/BudgetDetail/Item/bi_1ggz9dxczq8hk40fcpb4sxafbc

Related records

Institution
경기도 양주시
Programme
지역아동센터 출결문자알림시스템 지원

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 “문자알림서비스경정” · classification 307-11

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

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