◎산불방지활동 우수 읍·면 등 포상금

Programme 산불 신고 및 읍·면 등 포상금

Budgeted amount: 4,000,000 KRW
기정액: 0 KRW
Change: +4,000,000 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.

Department 산림자원과 24,370,809,000 KRW

0.0%
Policy 임업 경쟁력 강화 21,559,750,000 KRW

0.0%
Programme 산림보호관리 9,486,713,000 KRW

0.0%
Project 산불 신고 및 읍·면 등 포상금 7,000,000 KRW

57.1%
Budget category 포상금 4,000,000 KRW

100.0%
Statistical item 포상금 4,000,000 KRW

100.0%
Item ◎산불방지활동 우수 읍·면 등 포상금 4,000,000 KRW

Category–statistical code: 303-01
Group: Not provided in source

Original description

4,000,000원*1식

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

Detailed budget items

2 items

Data source

Open source PDF 충청남도 청양군 · FY2026 본예산 · 일반회계 · 21. (산림자원과)세출예산사업명세서(2 Opens in a new window

Page
7 / 10

View source document details

Document ID: doc_42zyzjm9tanxwygks39tajjq6w
Source document status: Available
File type: application/pdf
File size: 143.684 KiB
Location inside the source: Page 7 Row 9 Line 2 Column level4

Source and reference

FY 2026 release No source record

Fiscal year of record: 2026
Fetched from the source: 2026-08-19 16:35
Read and interpreted: 2026-08-19 16:35
Query snapshot refreshed: 2026-09-02 03:23

Item ID: bi_3sx7p5nbmchf1eyhkye9yyqsye
Address of this item: /en/BudgetDetail/Item/bi_3sx7p5nbmchf1eyhkye9yyqsye

Institution: 충청남도 청양군
Programme: 산불 신고 및 읍·면 등 포상금

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 “산불방지활동” · classification 303-01

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

These items were verified within a limited set of name search results.

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