Samsun Neighbourhood Boundaries (Mahalle & Köy): Shapefile & GeoPackage

Samsun Neighbourhood Boundaries (Mahalle & Köy): Shapefile & GeoPackage

Regular price €8,25 EUR
Regular price Sale price €8,25 EUR
Sale Sold out
View full details

Samsun Neighbourhood Boundaries (Mahalle & Köy)

The Samsun layer holds 1,259 boundary polygons at the lowest administrative level of Türkiye (Turkey), spread over 17 districts (ilçe) of the province (il). Buy it as a GeoPackage (gpkg) or Shape file variant for €9.90 per format; delivery is a digital download in EPSG:4326.

Vezirköprü has the most units (162, 13% of all units in the province), and Yakakent has the fewest (17 units). As a metropolitan province (büyükşehir), Samsun has one district municipality (ilçe belediyesi) in each of its 17 districts, and every neighbourhood belongs to the municipality of its own district.

Key features

  • Formats: GeoPackage (.gpkg) or Esri Shapefile (.shp), sold as two separate variants, GeoPackage (gpkg) and Shape file; GIS-ready for QGIS, ArcGIS and other GIS software
  • Coordinate reference system: WGS 84 (EPSG:4326)
  • Nesting: every unit lies exactly inside its district and the Samsun province boundary
  • IDs and names: stable Geolocet unit IDs, official unit codes and official unit names, plus Turkish title-case names
  • Area coverage: 99% of the province area. Areas outside these polygons are not represented in this layer.
  • Version: v5, updated October 2026

Districts (ilçe) in Samsun

Samsun has 17 districts. Units per district: 19 Mayıs (38), Alaçam (65), Asarcık (33), Atakum (56), Ayvacık (43), Bafra (138), Canik (52), Çarşamba (143), Havza (98), İlkadım (62), Kavak (92), Ladik (67), Salıpazarı (44), Tekkeköy (67), Terme (82), Vezirköprü (162), Yakakent (17).

Attributes and sample records

Each polygon has 12 fields; Shapefile field names are shortened where needed (for example belediye_id becomes bel_id). Field descriptions are on the Turkey neighbourhood boundaries page. Sample records from Samsun:

id name name_official type belediye_id belediye_name district_id district_name province_id province_name official_code area_km2 geometry
90000359 Adaköy ADAKÖY mahalle 92003455 Bafra 3674729 Bafra 446903 Samsun 186567 4.225 polygon data
90000289 Acıklı ACIKLI mahalle 92003465 Çarşamba 3674749 Çarşamba 446903 Samsun 187217 2.809 polygon data
90000067 19 Mayıs 19 MAYIS mahalle 92003466 Havza 3674733 Havza 446903 Samsun 69961 2.914 polygon data
90000068 19 Mayıs 19 MAYIS mahalle 92003464 Kavak 3674735 Kavak 446903 Samsun 69977 1.872 polygon data
90000203 Abdulgani ABDULGANİ mahalle 92003460 Vezirköprü 3445419 Vezirköprü 446903 Samsun 70106 0.037 polygon data

Full national dataset

The full multi-level national dataset (country, regions, provinces, districts, belediye and 50,558 neighbourhoods and villages) is available on request (contact@geolocet.com).

Frequently asked questions

How many neighbourhoods and villages does Samsun have in this dataset?
The Samsun layer contains 1,259 units in 17 districts. All 1,247 classified units are neighbourhoods (mahalle); Samsun has no villages (köy) in this layer, and 12 units are unclassified. Since 2014, under Law No. 6360, the former villages of metropolitan provinces (büyükşehir) such as Samsun have been neighbourhoods (mahalle).
Is each neighbourhood linked to its belediye?
Yes, all 1,247 neighbourhoods in Samsun carry the ID and name of their municipality (belediye).
Is there a free sample?
Yes. The free Yalova sample has every administrative level in GeoPackage and Shapefile format; select Free sample (Yalova) on the Turkey neighbourhood boundaries page.
Can I get all of Türkiye or other administrative levels?
Yes. The neighbourhood layers of all 81 provinces also form one national dataset together with the country, region, province, district and belediye layers; it is supplied after an enquiry, as described under Full national dataset.

Dataset metadata

Dataset name
Samsun Neighbourhood and Village Boundaries (Mahalle & Köy)
Description
Boundary polygons of the 1,259 neighbourhoods and villages of Samsun province, Türkiye, in 17 districts: 1,247 mahalle and 12 unclassified. Vezirköprü is the district with the most units (162), and the polygons cover 99% of the province area. Each unit has a stable Geolocet ID, its official name and code, its district and province, and neighbourhoods are linked to one of 17 municipalities (belediye). Typical uses are GIS mapping, geocoding, spatial joins and market and logistics analysis. The layer is a paid download in GeoPackage or Shapefile format (EPSG:4326) under the Geolocet terms of service.
Dataset ID
geolocet-turkey-neighbourhoods-v5-samsun
Publisher
Geolocet
Version
v5 (product version)
Last updated
October 2026 (release of v5)
Reference period
October 2026: the administrative units as compiled for this release
Spatial coverage
Samsun province (il), Türkiye; bounding box (WGS 84): south 40.8220, west 34.8787, north 41.7379, east 37.1695
Administrative level and features
Admin level 8 (mahalle and köy): 1,259 polygons in 17 districts
Formats
GeoPackage (.gpkg) or Shapefile (.shp), one format per variant
Coordinate reference system
WGS 84 (EPSG:4326)
Identifiers
id is a stable Geolocet unit ID (not a government code); official_code is the official administrative unit code; district_id and province_id equal the id of the Geolocet district and province layers
Geometry
Boundary polygons compiled by Geolocet from official and open sources and aligned to the district boundaries; the official attributes are the unit names and codes, and the polygons are a GIS representation, not a legally binding boundary delimitation
Area coverage
99% of the province area
Access
Paid download: GeoPackage or Shapefile variant
Licence
Geolocet terms of service
Part of
Turkey Neighbourhood and Village Boundaries (Mahalle & Köy)
Language
English, with Turkish names and a Turkish summary

Türkçe özet

Samsun mahalle sınırları (GIS verisi): Samsun ilindeki 17 ilçede bulunan 1.259 birimin sınırları Shapefile veya GeoPackage formatında indirilebilir. En fazla birim Vezirköprü ilçesindedir (162).