Data

KINMATRIX data

KINMATRIX is free for registered researchers via GESIS; KINMATRIX-2 is available for collaborations ahead of its public release.

Available · Release 1.0.0

KINMATRIX

The wider kinship networks of younger adults: parents, siblings, grandparents, aunts, uncles, cousins, and step- and half-relatives on both sides of the family.

Fieldwork
2022–23; additional US sample 2023–24
Respondents
12,438, aged 25–35
Respondent–kin dyads
252,278
Countries
Denmark, Finland, Germany, Italy, Netherlands, Norway, Poland, Sweden, United Kingdom, United States
Access
Free for registered users via GESIS (ZA8825)

Forthcoming · Early access

KINMATRIX-2

Extends the design to midlife and to ties by partnership. New modules cover related strangers, support, struggles, growing up with kin, and kinkeeping.

Fieldwork
2025–26
Respondents
13,259, aged 35–45
Respondent–kin dyads
287,250
Countries
Germany, Italy, Poland, United Kingdom, United States
New kin
Partners, parents-in-law, siblings-in-law
Access
Public release forthcoming; early access for collaborations

What is in the data

One row per respondent and relative

The data come as a long-format file linking four sets of variables. The data description in Demographic Research covers them in detail.

Respondent variables

Socioeconomic and demographic characteristics, family structure and biography (e.g., parental and grandparental separation), family norms and attitudes, and personal characteristics such as subjective social status, life satisfaction, and self-rated health.

Relationship variables

For each living relative: emotional closeness, contact frequency, travel distance, conflict, and support received (money, advice, comfort, childcare). Plus who was important (alive or deceased) and who could be counted on in future times of need.

Kin attribute variables

Age, sex, and vital status of every relative, plus education, employment, subjective social status, and health. For complex kin, timing and duration of coresidence.

Survey and quality variables

Weights, interview date and duration, self-assessed response quality, and flags for observed quality issues such as don’t-knows, invalid names, straightlining, and implausible kin attributes.

Data quality

Compared with registers and probability surveys

KINMATRIX is a quota-based web survey. We have compared it with demographic kinship projections, Dutch and Swedish registers, and several probability surveys (ESS, ISSP, GGS, pairfam).

Numbers of siblings and cousins tend to be lower than in demographic projections, but differences between countries are preserved for nearly all kin types. Relationship measures reproduce well-known contrasts such as the north–south gradient in contact and coresidence.

Diffené, Leopold, Raab & Buyukkececi (2026), Demographic Research, 54, 1375–1412

Do country differences in KINMATRIX match demographic projections? Correlation across countries, by kin type

Fathers0.88
Uncles0.87
Brothers0.82
Aunts0.81
Sisters0.79
Mothers0.73
Cousins0.72
Grandmothers0.39
Grandfathers0.01
Correlations between KINMATRIX estimates and DemoKin projections of mean numbers of living kin across ten countries. Source: Diffené et al. (2026), Demographic Research, Figure 3.

Citing KINMATRIX

Please cite the data and the data description

Leopold, T., Becker, C. C., Buyukkececi, Z., Çineli, B., & Raab, M. (2025). KINMATRIX – Uncovering the kinship matrix (Version 1.0.0) [Data set]. GESIS. https://doi.org/10.4232/1.14380

Leopold, T., Becker, C. C., Buyukkececi, Z., Çineli, B., & Raab, M. (2024). KINMATRIX: A new data resource for studies of families and kinship. Demographic Research, 51, 791–810. https://doi.org/10.4054/DemRes.2024.51.25

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