A spatial perspective on children’s numeracy competencies—Neighborhoods of early childhood education institutions in rural and urban areas in Germany

In the present study we examined whether spatial indicators of neighborhood structure proxied by the social composition of the local population predict numeracy competencies of children in early childhood educational institutions. Additionally, we investigated whether the impact of neighborhood structure differs between early childhood education institutions in urban and rural areas. We used data from 189 children attending early childhood educational institutions in two federal states in Germany along with spatial data on social welfare and foreigner proportions as found in the neighborhoods surrounding early childhood educational institutions. Although we had limited information on children’s individual characteristics, we addressed the associated problem of selection bias partially by using growth modeling. It allowed us to consider the first measurement occasion when modeling the second one to examine the impact of neighborhood structure on children’s competencies. The results indicated that, in contrast to children who live in rural areas, a substantial amount of variance in children’s competencies in urban areas is explained by foreigner proportion. We concluded that it is useful to consider spatial aspects when predicting children’s competencies. Besides, it appears reasonable to include the neighborhood perspective into theoretical models of children’s academic development.

Authors

Institutions

Publication Details

Journal
Cogent Education
Published
2026-05-01
DOI
https://doi.org/10.1080/2331186x.2026.2624181
Primary Topic
Urban, Neighborhood, and Segregation Studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A spatial perspective on children’s numeracy competencies—Neighborhoods of early childhood education institutions in rural and urban areas in Germany

Lars Jenßen, Sigrid Blömeke, Aljoscha Jegodtka, Michael Eid et al.
Cogent Education
Urban, Neighborhood, and Segregation Studies
article

A spatial perspective on children’s numeracy competencies—Neighborhoods of early childhood education institutions in rural and urban areas in Germany

Lars Jenßen, Sigrid Blömeke, Aljoscha Jegodtka, Michael Eid, Thomas Koinzer, Lara Pohle, Christin Laschke
article en

Abstract

In the present study we examined whether spatial indicators of neighborhood structure proxied by the social composition of the local population predict numeracy competencies of children in early childhood educational institutions. Additionally, we investigated whether the impact of neighborhood structure differs between early childhood education institutions in urban and rural areas. We used data from 189 children attending early childhood educational institutions in two federal states in Germany along with spatial data on social welfare and foreigner proportions as found in the neighborhoods surrounding early childhood educational institutions. Although we had limited information on children’s individual characteristics, we addressed the associated problem of selection bias partially by using growth modeling. It allowed us to consider the first measurement occasion when modeling the second one to examine the impact of neighborhood structure on children’s competencies. The results indicated that, in contrast to children who live in rural areas, a substantial amount of variance in children’s competencies in urban areas is explained by foreigner proportion. We concluded that it is useful to consider spatial aspects when predicting children’s competencies. Besides, it appears reasonable to include the neighborhood perspective into theoretical models of children’s academic development.

Cogent EducationVol. 13(1)
University of Erfurt (DE), Humboldt-Universität zu Berlin (DE), Leibniz Institute for Science and Mathematics Education (DE), Institut für Qualität im Management (Germany) (DE), National Institute for Education (SK), IU International University of Applied Sciences (DE), Freie Universität Berlin (DE)
Quality Education
Openalex Percentile: Top 6%
Urban, Neighborhood, and Segregation Studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.