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Internal Migration of Ethnic Groups in Latvia: The Importance of Age and Geography Cover

Internal Migration of Ethnic Groups in Latvia: The Importance of Age and Geography

By:  and    
Open Access
|Jun 2026

Figures & Tables

Fig. 1.

The share (%) of ethnic minorities by territorial units (urban and rural) in Latvia (2019) based on data from the Central Statistical Bureau of Latvia.

Fig. 2.

Relative population change (100% = 2011) among ethnic minorities by territorial units (urban and rural) in Latvia (2011–2019) based on data from the Central Statistical Bureau of Latvia.

Fig. 3.

Distribution of the total population and internal migrants across the urban system and regions by the majority-minority ethnic groups (2011 and 2019) based on data from the Population Census (2011) and Population Register (2019).

Fig. 4.

Age-specific migration propensities by majority-minority ethnic groups (2011 and 2019) based on data from the Population Census (2011) and Population Register (2019).

Ethnic composition and its changes in Latvia, 2000–2019 (Central Statistical Bureau of Latvia)_

Ethnic groupTotal population 2019Population change 2000–2019Mean age
number% of total% of ethnic minoritiesnumber%20002019
Latvians1,196,25162.3−174,305−12.736.840.4
Russians478,57824.966.2−224,539−31.939.547.4
Belarusians61,4183.28.5−35,719−36.844.755.4
Ukrainians43,0622.26.0−20,572−32.341.952.5
Poles38,8182.05.4−20,680−34.842.050.9
Lithuanians22,3401.23.1−11,085−33.142.351.0
Other79,0404.110.9+29,345+59.036.224.0
Total1,919,507 −457,555−19.238.242.5

Binary logistic regression model variables_

TypeVariableGroupRegression model no.
Filter variablesEthnicityLatviansall
Ethnic minorities
Dependent variableMigration statusIn-migrantsall
Non-migrants
Covariates (predictor variables)Age group15–19all
20–24
25–29
30–34
35–39
40+
Urban systemCapital city of Riga1; 2; 3; 4
Suburbs of Riga
Other largest cities
Regional & small towns
Rural areas
RegionRiga & suburbs5; 6; 7; 8
Zemgale
Vidzeme Kurzeme
Latgale

Logistic regression of the likelihood of internal migration, predicted by age group and region of destination (ref_ non-migrants Latvians)_

β – internal migrants among Latvians (ref. non-migrants)
Model 5 (2011)Model 6 (2019)
β coefficientPβ coefficientP
Age15–19−0.1670.0000.2200.000
20–240.8950.0000.7620.000
25–291.000(ref.)1.000(ref.)
30–340.5440.0000.8530.000
35–390.0960.0000.5560.000
40+−0.6380.000−0.2430.000
RegionsRiga & suburbs1.000(ref.)1.000(ref.)
Zemgale0.7390.0000.8690.000
Kurzeme0.8070.0000.9300.000
Vidzeme0.7820.0000.7770.000
Latgale0.5150.0000.6240.000
−2 Log likelihood280,393.782277,992.085
Nagelkerke R20.0620.037

Logistic regression of the likelihood of internal migration, predicted by age group and destination within the urban system (ref_ non-migrants ethnic minorities)_

β – internal migrants among ethnic minorities (ref. non-migrants)
Model 3 (2011)Model 4 (2019)
β coefficientPβ coefficientP
Age15–19−0.1830.0000.1800.000
20–240.9040.0010.8160.000
25–291.000(ref.)1.000(ref.)
30–340.6360.0000.9130.020
35–390.1940.0000.6800.000
40+−0.6930.000−0.1230.000
Urban systemCapital city of Riga1.000(ref.)1.000(ref.)
Suburbs of Riga1.0900.0001.4280.000
Large cities0.9530.2861.4140.000
Regional & small towns0.9560.5121.8510.000
Rural areas0.9280.0111.8280.000
−2 Log likelihood129,068.467114,064.836
Nagelkerke R20.0590.052

In-migrants and non-migrants by ethnicity (age group 0–14 excluded)_

2010–20112018–2019
In-migrantsNon-migrantsIn-migrantsNon-migrants
Count (k)%Count (k)%Count (k)%Count (k)%
Latvians33.63.3999.996.732.83.4943.796.6
Ethnic minorities14.02.0668.498.012.22.0600.798.0
Total47.62.81668.397.245.02.81544.497.2

Logistic regression of the likelihood of internal migration, predicted by age group and region of destination (ref_ non-migrants ethnic minorities)_

β – internal migrants among minorities (ref. non-migrants)
Model 7 (2011)Model 8 (2019)
β coefficientPβ coefficientP
Age15–19−0.1740.0000.2270.000
20–240.9060.0010.8510.001
25–291.000(ref.)1.000(ref.)
30–340.6390.0000.9080.013
35–390.2010.0000.7040.000
40+−0.6980.000−0.0880.000
RegionsRiga & suburbs1.000(ref.)1.000(ref.)
Zemgale0.9750.4021.2220.000
Kurzeme1.2750.0001.2540.000
Vidzeme0.8580.0000.6950.000
Latgale0.8610.0000.8520.000
−2 Log likelihood129,127.080117,087.907
Nagelkerke R20.0580.025

Logistic regression of the likelihood of internal migration, predicted by age group and destination within the urban system (ref_ non-migrants Latvians)_

β – internal migrants among Latvians (ref. non-migrants)
Model 1 (2011)Model 2 (2019)
β coefficientPβ coefficientP
Age15–19−0.1390.0000.1940.000
20–240.9140.0000.7540.000
25–291.000(ref.)1.000(ref.)
30–340.5430.0000.8450.000
35–390.1020.0000.5310.000
40+−0.6200.000−0.2540.000
Urban systemCapital city of Riga1.000(ref.)1.000(ref.)
Suburbs of Riga0.8720.0001.1780.000
Large cities0.8070.0000.9400.007
Regional & small towns0.7580.0001.0640.025
Rural areas0.4710.0000.9760.127
−2 Log likelihood279,745.547276,813.279
Nagelkerke R20.0650.041
DOI: https://doi.org/10.14746/quageo-2026-0027 | Journal eISSN: 2081-6383 | Journal ISSN: 2082-2103
Language: English
Page range: 117 - 132
Submitted on: Jun 1, 2025
Published on: Jun 30, 2026
In partnership with: Paradigm Publishing Services
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© 2026 Janis Krumins, Maris Berzins, published by Adam Mickiewicz University
This work is licensed under the Creative Commons Attribution 4.0 License.