Land in Kraśniczyn
Municipality in krasnostawski county, lubelskie voivodeship.
This local-data view is translated for navigation and data interpretation. Polish administrative names remain official.
No price meeting the comparison criteria.
Data coverage and ranking eligibility
How prices are calculatedKraśniczyn is a rural municipality in krasnostawski county, lubelskie voivodeship.
Recorded RCN transactions in this municipality show an agricultural-land median of 7 PLN/m², with agricultural median: 20 deeds. Data date: 2026-09-04T10:45:00+02:00. These are transaction prices, not listing prices or a valuation of a specific parcel.
The historical median in the available series fell since 2022. It describes recorded transactions, not a forecast of future prices.
Transaction-price indicators
Undeveloped land — local median
Insufficient local data (0 qualifying transactions)Agricultural land — median
7 PLN/m²20 qualifying transactions · latest 2026-06How to read the price and data coverage
The median is the middle transaction price for undeveloped land sold over the last 12 months. We include full-property sales on the open market and exclude roads, shares and packages without a price allocated to the plot. An exact ranking position requires at least 30 deeds, at least 80% coverage, a relative 95% confidence-interval width of at most 50%, and no quality flags. From 10 deeds we show a comparison band; 1–9 deeds give an informational price only. Missing prices are not estimated. Agricultural land has a separate median. Check planning documents for the permitted use of a specific plot. 2026-09-04T10:45:00+02:00.
Other local data availability
🗺️ Municipal general plan and new development rules
The Urban Register is temporarily unavailable. This is not treated as evidence that no plan exists.
Gmina Kraśniczyn w liczbach
How agricultural land prices changed
Annual RCN transaction medians. Only years meeting the data-quality criteria. The undeveloped land series is not shown: its yearly medians did not meet the quality criteria.
Annual data and download
| Year | PLN/m² |
|---|---|
| 2022 | 9 |
| 2023 | 6 |
| 2024 | 8 |
| 2025 | 6 |
Source: notarial transactions, RCN. A median describes recorded sales, not the valuation of a specific plot.
Population over time
Annual population, GUS Local Data Bank.
Annual data and download
| Year | Residents |
|---|---|
| 2010 | 4 113 |
| 2011 | 4 043 |
| 2012 | 4 003 |
| 2013 | 3 951 |
| 2014 | 3 883 |
| 2015 | 3 845 |
| 2016 | 3 768 |
| 2017 | 3 740 |
| 2018 | 3 683 |
| 2019 | 3 639 |
| 2020 | 3 590 |
| 2021 | 3 470 |
| 2022 | 3 494 |
| 2023 | 3 433 |
| 2024 | 3 382 |
| 2025 | 3 335 |
Source: GUS BDL, variable 72305. Census revisions and boundary changes may affect comparisons.
Local context — Kraśniczyn
Kraśniczyn had 3 335 residents in 2025 (GUS BDL). Compared with 2015, the recorded population decreased by 510 (13.3%). The area calculated from PRG boundaries is approximately 109.1 km², giving about 31 residents per km².
Population comparisons may include census revisions and administrative boundary changes.
Recent anonymised transactions
Scroll the table horizontally to view every column.
| Month | Type | Area | PLN/m² |
|---|---|---|---|
| 2026-06 | rolna | 4 928 m² | 10 |
| 2026-05 | rolna | 7 501 m² | 6 |
| 2026-04 | rolna | 24 496 m² | 5 |
| 2026-02 | rolna | 2 321 m² | 6 |
| 2026-02 | rolna | 2 641 m² | 6 |
| 2026-02 | rolno-budowlana | 23 100 m² | 7 |
| 2025-12 | rolna | 15 400 m² | 6 |
| 2025-12 | rolna | 61 801 m² | 9 |
| 2025-12 | rolna | 16 203 m² | 36 |
| 2025-10 | rolna | 14 390 m² | 5 |
| 2025-10 | rolno-budowlana | 20 895 m² | 10 |
| 2025-09 | rolna | 4 684 m² | 11 |
| 2025-09 | rolno-budowlana | 173 056 m² | 38 |
| 2025-08 | rolno-budowlana | 47 327 m² | 29 |
| 2025-08 | rolna | 1 885 m² | 6 |
| 2025-08 | rolna | 6 900 m² | 46 |
| 2025-08 | rolna | 400 m² | 41 |
| 2025-07 | rolno-budowlana | 3 115 m² | 63 |
| 2025-06 | rolna | 381 900 m² | 9 |
| 2025-06 | rolna | 10 676 m² | 312 |
Confirm planning, legal and technical matters with the competent office and an appropriate professional. Data may be incomplete or delayed at the source.