| euro_example {tricolore} | R Documentation |
NUTS-2 Level Geodata and Compositional Data for Europe
Description
A simple-features dataframe containing the NUTS-2 level polygons of European regions along with regional compositional data on education and labor-force.
Usage
euro_example
Format
A data frame with 312 rows and 9 variables:
- id
NUTS-2 code.
- name
Name of NUTS-2 region.
- ed_0to2
Share of population with highest attained education "lower secondary or less".
- ed_3to4
Share of population with highest attained education "upper secondary".
- ed_5to8
Share of population with highest attained education "tertiary".
- lf_pri
Share of labor-force in primary sector.
- lf_sec
Share of labor-force in secondary sector.
- lf_ter
Share of labor-force in tertiary sector.
- geometry
Polygon outlines for regions in sf package format.
Details
Variables starting with "ed" refer to the relative share of population ages 25 to 64 by educational attainment in the European NUTS-2 regions 2016.
Variables starting with "lf" refer to the relative share of workers by labor-force sector in the European NUTS-2 regions 2016. The original NACE (rev. 2) codes have been recoded into the three sectors "primary" (A), "secondary" (B-E & F) and "tertiary" (all other NACE codes).
Source
Derived from Eurostats European Geodata. (c) EuroGeographics for the administrative boundaries. https://ec.europa.eu/eurostat/web/gisco/geodata/reference-data/administrative-units-statistical-units/
Education data derived from Eurostats table "edat_lfse_04".
Labor-force data derived from Eurostats table "lfst_r_lfe2en2".