○드림스타트 수행인력 명절휴가비

Programme 드림스타트 민간전문인력 처우개선

Budgeted amount: 15,540,000 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 무한돌봄과 9,232,134,000 KRW

0.2%
Policy 취약계층 아동복지 증진(사회복지/취약계층지원) 3,761,737,000 KRW

0.4%
Programme 드림스타트 사업 추진 586,024,000 KRW

2.7%
Project 드림스타트 민간전문인력 처우개선 18,046,000 KRW

86.1%
Budget category 인건비 18,046,000 KRW

86.1%
Statistical item 기간제근로자등보수 18,046,000 KRW

86.1%
Item ○드림스타트 수행인력 명절휴가비 15,540,000 KRW

Category–statistical code: 101-04
Group: Not provided in source

Original description

1,850,000원*120%*7명

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

Detailed budget items

3 items

Data source

Open source PDF 경기도 구리시 · FY2017 본예산 · 일반회계 · 2017년 제2권 부서별 사업예산명세서 Opens in a new window

Page
172 / 440

View source document details

Document ID: doc_6vzffw5q4btgmtdabtz6q2pt0n
Source document status: Available
File type: application/pdf
File size: 5,589.664 KiB
Location inside the source: Page 172 Row 14 Line 1 Column level4

Source and reference

FY 2017 release No source record

Fiscal year of record: 2017
Fetched from the source: 2026-07-29 20:05
Read and interpreted: 2026-07-29 20:05
Query snapshot refreshed: 2026-09-02 03:23

Item ID: bi_7c0jh1nrqv8h6dj5mwjpe4mh3s
Address of this item: /en/BudgetDetail/Item/bi_7c0jh1nrqv8h6dj5mwjpe4mh3s

Institution: 경기도 구리시
Programme: 드림스타트 민간전문인력 처우개선

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 “드림스타트” · classification 101-04

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

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