Land in Biała Rawska
Municipality in rawski county, łódzkie 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 calculatedBiała Rawska is a urban-rural municipality in rawski county, łódzkie voivodeship.
Recorded RCN transactions in this municipality show an agricultural-land median of 10 PLN/m², with agricultural median: 26 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 rose since 2019. 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
10 PLN/m²26 qualifying transactions · latest 2026-03How 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 Biała Rawska 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 |
|---|---|
| 2019 | 8 |
| 2020 | 8 |
| 2021 | 8 |
| 2024 | 8 |
| 2025 | 9 |
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 | 11 666 |
| 2011 | 11 576 |
| 2012 | 11 579 |
| 2013 | 11 555 |
| 2014 | 11 484 |
| 2015 | 11 473 |
| 2016 | 11 442 |
| 2017 | 11 427 |
| 2018 | 11 371 |
| 2019 | 11 285 |
| 2020 | 11 152 |
| 2021 | 10 997 |
| 2022 | 10 896 |
| 2023 | 10 781 |
| 2024 | 10 621 |
| 2025 | 10 560 |
Source: GUS BDL, variable 72305. Census revisions and boundary changes may affect comparisons.
Local context — Biała Rawska
Biała Rawska had 10 560 residents in 2025 (GUS BDL). Compared with 2015, the recorded population decreased by 913 (8.0%). The area calculated from PRG boundaries is approximately 206.6 km², giving about 51 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 |
|---|---|---|---|
| 2026-03 | rolna | 19 877 m² | 17 |
| 2026-03 | rolna | 13 143 m² | 25 |
| 2026-03 | rolna | 9 900 m² | 10 |
| 2026-02 | rolno-budowlana | 1 057 m² | 284 |
| 2026-02 | rolna | 5 538 m² | 5 |
| 2026-02 | rolna | 5 218 m² | 22 |
| 2026-02 | rolno-budowlana | 1 291 m² | 503 |
| 2026-01 | rolno-budowlana | 4 900 m² | 33 |
| 2026-01 | rolna | 7 262 m² | 10 |
| 2026-01 | rolno-budowlana | 1 082 m² | 185 |
| 2026-01 | rolna | 1 019 m² | 71 |
| 2026-01 | rolna | 14 600 m² | 8 |
| 2025-12 | rolna | 664 m² | 90 |
| 2025-12 | rolna | 41 554 m² | 14 |
| 2025-12 | rolna | 1 705 m² | 34 |
| 2025-12 | rolna | 17 534 m² | 6 |
| 2025-09 | rolna | 21 500 m² | 6 |
| 2025-09 | rolna | 1 222 m² | 60 |
| 2025-09 | rolna | 1 305 m² | 100 |
| 2025-08 | rolna | 729 m² | 62 |
Confirm planning, legal and technical matters with the competent office and an appropriate professional. Data may be incomplete or delayed at the source.