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INSPIRE Community Forum

Population distribution implementation examples

What kinds of population distribution datasets does your organization publish as INSPIRE services?

What kinds of demographic classifications are published? What geometries do they refer to?

What are the data formats? (GML, SHP, ...)

Are the datasets compliant with the data specifications?

Have you experienced any issues in the harmonization process?


Central Statistical Office of Poland as of now publishes as PD:

1.) Population distribution referred to the Polish Nomenclature of Territorial units for Statistics (NTS) - comprising of 5 levels: 3 NUTS levels and 2 LAU levels (described further in this topic).

Following variables are published:
- total population,
- population by sex,
- population by 5-year age groups,
- population by sex and 5-year age groups.

PD in NTS yearly datasets are published in GML. Due to limitations in GML file size (for the file to be readable and processable), there are 68 GML datasets:
- one for NTS1 (= NUTS1)
- one for NTS2 (= NUTS2)
- one for each NTS3 comprising geometries of NTS3 (= NUTS3), NTS4 (= LAU1), NTS5 (= LAU2).

The GML files are compliant with the Population Distribution Data Specification v3.0

2.) Population distribution referred to statistical regions and census enumeration areas (BREC - described in detail in this topic). In these statistical units only total population has been published. PD in BREC division is published both in GML and SHP.

Due to GML file size limitations the dataset consists of 2500 parts - one for each NTS5 (= LAU2).

Data in SHP is published in two parts - one with PD data for statistical regions, the other with PD data for census enumeration areas.

The GML files are compliant with the Population Distribution Data Specification v3.0

Statistics & Health

Statistics & Health

Join this group if you would like to share knowledge or ask questions regarding the INSPIRE implementation of Statistical Units [SU], Population Distribution (Demography) [PD] or Human Health and Safety [HH] data themes