Land in Szamocin
Municipality in chodzieski county, wielkopolskie 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 calculatedSzamocin is a urban-rural municipality in chodzieski county, wielkopolskie voivodeship.
Recorded RCN transactions in this municipality show an agricultural-land median of 54 PLN/m², with agricultural median: 85 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 2023. 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
54 PLN/m²85 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
No confirmed publication was found in the current Urban Register read. This does not prove that no work is under way; also check the municipality BIP.
Gmina Szamocin 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 |
|---|---|
| 2023 | 55 |
| 2024 | 54 |
| 2025 | 60 |
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 | 7 538 |
| 2011 | 7 563 |
| 2012 | 7 562 |
| 2013 | 7 558 |
| 2014 | 7 553 |
| 2015 | 7 553 |
| 2016 | 7 572 |
| 2017 | 7 581 |
| 2018 | 7 508 |
| 2019 | 7 502 |
| 2020 | 7 286 |
| 2021 | 7 230 |
| 2022 | 7 172 |
| 2023 | 7 147 |
| 2024 | 7 124 |
| 2025 | 7 068 |
Source: GUS BDL, variable 72305. Census revisions and boundary changes may affect comparisons.
Local context — Szamocin
Szamocin had 7 068 residents in 2025 (GUS BDL). Compared with 2015, the recorded population decreased by 485 (6.4%). The area calculated from PRG boundaries is approximately 126.6 km², giving about 56 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 | 814 m² | 42 |
| 2026-06 | rolna | 1 020 m² | 85 |
| 2026-06 | rolna | 1 034 m² | 440 |
| 2026-05 | rolna | 996 m² | 653 |
| 2026-05 | rolna | 3 006 m² | 15 |
| 2026-05 | rolna | 97 500 m² | 8 |
| 2026-04 | rolna | 1 822 m² | 38 |
| 2026-04 | rolna | 1 196 m² | 61 |
| 2026-04 | rolna | 3 264 m² | 22 |
| 2026-04 | rolna | 3 400 m² | 6 |
| 2026-04 | rolna | 1 708 m² | 6 |
| 2026-04 | rolna | 2 723 m² | 129 |
| 2026-04 | rolna | 1 030 m² | 340 |
| 2026-04 | rolna | 391 m² | 28 |
| 2026-03 | rolna | 1 245 m² | 54 |
| 2026-03 | rolno-budowlana | 1 757 m² | 159 |
| 2026-03 | rolna | 4 016 m² | 34 |
| 2026-03 | rolna | 2 028 m² | 25 |
| 2026-03 | rolna | 696 m² | 72 |
| 2026-03 | rolno-budowlana | 1 031 m² | 533 |
Confirm planning, legal and technical matters with the competent office and an appropriate professional. Data may be incomplete or delayed at the source.