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The Public Mind

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    Chapter 7.4

    Left and right across countries

    The attitude that left-right self-placement follows most closely differs by country, and across countries the median correlations with economic attitudes, moral attitudes and the importance of God lie between +0.07 and +0.09.

    The attitude that left-right self-placement follows most closely differs from country to country. One attitude leads clearly, meaning that the lower end of its confidence intervalConfidence intervalA range around an estimate that would contain the true value in 95% of repeated samples if the sampling model held. The book reports 95% intervals unless it says otherwise. lies above the estimates for the other two, in 5151 countries and territoriesEstimandcount of countries where the lower bound of the leading loading exceeds the other axes point estimatesWeightsnone (count)Populationcountries where an axis has an interval above zeroPeriodfieldwork 2005 or laterSourceWorld Values Survey and EVS of the 104104 countries and territoriesEstimandcount of countries with an effective sample of 300 or more on at least one axisWeightsnone (count)Populationcountries with at least one usable loadingPeriodfieldwork 2005 or laterSourceWorld Values Survey and EVS countries and territories in this chapter: economic attitudes in 2929 countries and territoriesEstimandcount of countries where the economic axis leads and the lead is clear (the lower bound of its interval exceeds the other axes point estimates)Weightsnone (count)Populationcountries with at least one usable loadingPeriodfieldwork 2005 or laterSourceWorld Values Survey and EVS, religion in 1616 countries and territoriesEstimandcount of countries where the religious axis leads and the lead is clear (the lower bound of its interval exceeds the other axes point estimates)Weightsnone (count)Populationcountries with at least one usable loadingPeriodfieldwork 2005 or laterSourceWorld Values Survey and EVS and moral attitudes in 66 countries and territoriesEstimandcount of countries where the moral axis leads and the lead is clear (the lower bound of its interval exceeds the other axes point estimates)Weightsnone (count)Populationcountries with at least one usable loadingPeriodfieldwork 2005 or laterSourceWorld Values Survey and EVS. In 4242 countries and territoriesEstimandcount of countries where one axis has the largest loading but the lead is not clearWeightsnone (count)Populationcountries where an axis has an interval above zeroPeriodfieldwork 2005 or laterSourceWorld Values Survey and EVS more, one attitude has the largest correlation but its lead is not clear, and in 1111 countries and territoriesEstimandcount of countries where no loading has an interval above zeroWeightsnone (count)Populationcountries with at least one usable loadingPeriodfieldwork 2005 or laterSourceWorld Values Survey and EVS none of the three has an interval above zero. The correlations are small: the median across countries is +0.07+0.07 correlation coefficient (loading), from −1 to +1Estimandmedian across countries of the economic loading (bootstrap over countries)Interval95% CI 0.04 to 0.10n104Weightsweight (S017) within each country; every country counted once across countriesPopulationcountries with an effective sample of 300 or morePeriodfieldwork 2005 or laterSourceWorld Values Survey and EVS for economic attitudes, +0.07+0.07 correlation coefficient (loading), from −1 to +1Estimandmedian across countries of the moral loading (bootstrap over countries)Interval95% CI 0.03 to 0.11n103Weightsweight (S017) within each country; every country counted once across countriesPopulationcountries with an effective sample of 300 or morePeriodfieldwork 2005 or laterSourceWorld Values Survey and EVS for moral attitudes and +0.09+0.09 correlation coefficient (loading), from −1 to +1Estimandmedian across countries of the religious loading (bootstrap over countries)Interval95% CI 0.07 to 0.11n104Weightsweight (S017) within each country; every country counted once across countriesPopulationcountries with an effective sample of 300 or morePeriodfieldwork 2005 or laterSourceWorld Values Survey and EVS for the importance of God.

    The left-right question asks respondents to place themselves on a ten-point scale from left to right. This chapter takes it from the World Values Survey (WVS) and the European Values Study (EVS), fieldwork in 2005 or later, and sets it against three attitudes, each of which is an axis: an economic index (questions on income differences, government responsibility, state ownership and competition), a moral index (how justifiable homosexuality, abortion and divorce are) and the importance of God. The loadingLoadingThe correlation, inside one country, between a survey scale such as left-right self-placement and an attitude. A loading of zero means the attitude says nothing about where people place themselves, and a positive loading means people who hold it place themselves further right. of an axis is its correlationCorrelationA number from minus 1 to plus 1 for how closely two measures move together in a straight-line pattern. Zero means no straight-line pattern; a correlation does not say that one measure causes the other. with left-right inside one country, computed on survey-weightedSurvey weightsNumbers that scale each respondent so the sample matches the population on known traits such as age, race, education and region. A weighted average counts a respondent with a large weight for more than one with a small weight. answers. A loading of zero means that the attitude has no straight-line association with where people place themselves, and a positive loading means that people on the conservative, market-oriented or religious side place themselves further right on average.A country appears on an axis only when its effective sample sizeEffective sample sizeThe number of equally weighted respondents that would give the same precision as the weighted sample. It is smaller than the raw count when the weights vary a lot, and it sets how wide the confidence interval is. [1] is 300300 respondents (Kish effective sample size)Estimandminimum effective sample for a country to appearWeightsnone (constant)Populationcountry-axis cellsPeriodfieldwork 2005 or laterSourceWorld Values Survey and EVS or more, and its interval is a Fisher z interval [2], both defined in the methods note at the end of the chapter. Chapter 7.2, Economic and cultural dimensions looks at the economic and cultural dimensions inside the United States.

    Which attitude leads differs by country

    Figure 1 shades every country by the axis with the largest loading among the axes whose interval lies above zero, and it colors a country only when the lead is clear. A lead is clear when the lower end of the leading interval lies above the point estimate of every other axis. Otherwise the order of the top two could change in a new sample, and in 2828 countries and territoriesEstimandcount of countries where the two largest loadings differ by less than the cutoffWeightsnone (count)Populationcountries with a usable loading on at least two axesPeriodfieldwork 2005 or laterSourceWorld Values Survey and EVS of the 104104 countries and territoriesEstimandcount of countries with an effective sample of 300 or more on at least one axisWeightsnone (count)Populationcountries with at least one usable loadingPeriodfieldwork 2005 or laterSourceWorld Values Survey and EVS countries the two largest loadings differ by less than 0.020.02 correlation coefficient (loading), from −1 to +1Estimandcutoff for two loadings to count as closeWeightsnone (constant)Populationthreshold used to count close leadersPeriodfieldwork 2005 or laterSourceWorld Values Survey and EVS. The other views of the map show the largest loading whether or not the lead is clear, and each loading with its interval. The axes rest on different numbers of items (Figure 5), and the four economic items agree only weakly, with a median pairwise correlation of +0.06+0.06 correlation coefficient (loading), from −1 to +1Estimandmedian across countries of the mean pairwise correlation among the four economic items after orientationWeightsweight (S017) within the countryPopulationrespondents within a country, median across countriesPeriodfieldwork 2005 or laterSourceWorld Values Survey and EVS (see the section on definitions), so a lead compares loadings from measures of unequal quality.

    Figure 1

    One attitude clearly leads in 51 of 104 countries, most often economic attitudes

    Axis with the largest correlation with left-right self-placement among the axes whose 95% interval is above zero, shown where the lead is clear, by country, fieldwork 2005-2023

    Axis with a clear lead

    No data (138 countries)

    Select a class to show only those places.

    Hover or tap a country for its value, or search by name. Zoom with the buttons on the map, then drag to move it.

    • Dots mark countries too small to fill at this scale.
    Show data
    Data for One attitude clearly leads in 51 of 104 countries, most often economic attitudes
    CountryViewAxis with the largest loadingStatus of the leadAxis with a clear leadEconomic loadingMoral loadingReligious loadingLoadingInterval lowInterval highRespondents
    AlbaniastrongestReligiousClearReligious+0.01+0.02+0.13n/an/an/an/a
    AlgeriastrongestNo axis above zeroNo axis above zeroNo clear lead−0.08−0.09−0.02n/an/an/an/a
    AndorrastrongestReligiousNot clearNo clear lead+0.22+0.21+0.22n/an/an/an/a
    ArgentinastrongestReligiousNot clearNo clear lead+0.18+0.16+0.22n/an/an/an/a
    ArmeniastrongestEconomicNot clearNo clear lead+0.05+0.03+0.04n/an/an/an/a
    AustraliastrongestEconomicClearEconomic+0.33+0.22+0.20n/an/an/an/a
    AustriastrongestEconomicNot clearNo clear lead+0.21+0.19+0.13n/an/an/an/a
    AzerbaijanstrongestNo axis above zeroNo axis above zeroNo clear lead−0.06−0.03+0.04n/an/an/an/a
    BangladeshstrongestMoralClearMoral−0.01+0.17+0.01n/an/an/an/a
    BelarusstrongestReligiousClearReligious+0.02−0.01+0.07n/an/an/an/a
    BelgiumstrongestEconomicClearEconomic+0.25+0.08+0.12n/an/an/an/a
    BoliviastrongestReligiousNot clearNo clear lead+0.040.00+0.05n/an/an/an/a
    Bosnia HerzegovinastrongestReligiousClearReligious−0.03+0.13+0.19n/an/an/an/a
    BrazilstrongestReligiousNot clearNo clear lead+0.07+0.09+0.09n/an/an/an/a
    BulgariastrongestEconomicClearEconomic+0.25−0.08+0.05n/an/an/an/a
    Burkina FasostrongestNo axis above zeroNo axis above zeroNo clear lead−0.02−0.09−0.04n/an/an/an/a
    CanadastrongestEconomicNot clearNo clear lead+0.29+0.29+0.25n/an/an/an/a
    ChilestrongestEconomicClearEconomic+0.26+0.14+0.09n/an/an/an/a
    ColombiastrongestMoralNot clearNo clear lead+0.04+0.14+0.12n/an/an/an/a
    CroatiastrongestReligiousNot clearNo clear lead+0.02+0.33+0.36n/an/an/an/a
    CyprusstrongestMoralNot clearNo clear lead0.00+0.09+0.07n/an/an/an/a
    CzechiastrongestEconomicClearEconomic+0.37−0.11+0.01n/an/an/an/a
    DenmarkstrongestEconomicClearEconomic+0.46+0.12+0.06n/an/an/an/a
    EcuadorstrongestReligiousClearReligious0.00−0.04+0.05n/an/an/an/a
    EgyptstrongestEconomicClearEconomic+0.18n/a0.00n/an/an/an/a
    EstoniastrongestEconomicClearEconomic+0.26−0.03−0.06n/an/an/an/a
    EthiopiastrongestEconomicClearEconomic+0.23−0.11+0.11n/an/an/an/a
    FinlandstrongestEconomicClearEconomic+0.44+0.16+0.19n/an/an/an/a
    FrancestrongestEconomicClearEconomic+0.34+0.19+0.18n/an/an/an/a
    GeorgiastrongestMoralNot clearNo clear lead+0.03+0.06+0.05n/an/an/an/a
    GermanystrongestEconomicClearEconomic+0.19+0.16+0.14n/an/an/an/a
    GhanastrongestEconomicClearEconomic+0.25−0.08+0.03n/an/an/an/a
    GreecestrongestReligiousNot clearNo clear lead+0.19+0.29+0.29n/an/an/an/a
    GuatemalastrongestMoralNot clearNo clear lead+0.04+0.06+0.06n/an/an/an/a
    HaitistrongestNo axis above zeroNo axis above zeroNo clear lead−0.03+0.02+0.01n/an/an/an/a
    Hong Kong SARstrongestReligiousClearReligious−0.01−0.06+0.06n/an/an/an/a
    HungarystrongestReligiousClearReligious0.00+0.09+0.15n/an/an/an/a
    IcelandstrongestEconomicClearEconomic+0.50+0.16+0.13n/an/an/an/a
    IndiastrongestReligiousClearReligious+0.060.00+0.12n/an/an/an/a
    IndonesiastrongestReligiousNot clearNo clear lead+0.04−0.02+0.07n/an/an/an/a
    IraqstrongestMoralNot clearNo clear lead+0.01+0.13+0.07n/an/an/an/a
    IrelandstrongestReligiousNot clearNo clear lead+0.07+0.22+0.22n/an/an/an/a
    ItalystrongestEconomicClearEconomic+0.24+0.17+0.19n/an/an/an/a
    JapanstrongestMoralNot clearNo clear lead+0.10+0.14+0.13n/an/an/an/a
    KazakhstanstrongestReligiousNot clearNo clear lead+0.10+0.04+0.11n/an/an/an/a
    KenyastrongestMoralClearMoral−0.10+0.10−0.04n/an/an/an/a
    KosovostrongestNo axis above zeroNo axis above zeroNo clear lead+0.03−0.02−0.06n/an/an/an/a
    KyrgyzstanstrongestReligiousNot clearNo clear lead+0.11+0.18+0.18n/an/an/an/a
    LatviastrongestEconomicNot clearNo clear lead+0.07+0.02+0.05n/an/an/an/a
    LebanonstrongestReligiousClearReligious−0.030.00+0.11n/an/an/an/a
    LibyastrongestNo axis above zeroNo axis above zeroNo clear lead−0.010.00+0.03n/an/an/an/a
    LithuaniastrongestReligiousNot clearNo clear lead+0.10+0.04+0.12n/an/an/an/a
    LuxembourgstrongestReligiousNot clearNo clear lead+0.16+0.23+0.27n/an/an/an/a
    Macau SARstrongestNo axis above zeroNo axis above zeroNo clear lead−0.01+0.02+0.06n/an/an/an/a
    MalaysiastrongestReligiousClearReligious−0.03+0.09+0.15n/an/an/an/a
    MaldivesstrongestMoralClearMoral+0.02+0.17+0.09n/an/an/an/a
    MalistrongestNo axis above zeroNo axis above zeroNo clear lead+0.02+0.02+0.01n/an/an/an/a
    MaltastrongestEconomicClearEconomic+0.26+0.16+0.07n/an/an/an/a
    MexicostrongestReligiousClearReligious+0.02+0.06+0.10n/an/an/an/a
    MoldovastrongestEconomicClearEconomic+0.10−0.02+0.05n/an/an/an/a
    MongoliastrongestReligiousClearReligious−0.16+0.01+0.20n/an/an/an/a
    MontenegrostrongestReligiousNot clearNo clear lead−0.04+0.09+0.15n/an/an/an/a
    MoroccostrongestEconomicClearEconomic+0.09+0.03+0.04n/an/an/an/a
    NetherlandsstrongestEconomicClearEconomic+0.39+0.16+0.13n/an/an/an/a
    New ZealandstrongestEconomicClearEconomic+0.46+0.19+0.13n/an/an/an/a
    NicaraguastrongestNo axis above zeroNo axis above zeroNo clear lead−0.07−0.06+0.02n/an/an/an/a
    NigeriastrongestReligiousNot clearNo clear lead0.000.00+0.04n/an/an/an/a
    North MacedoniastrongestReligiousNot clearNo clear lead+0.02+0.07+0.09n/an/an/an/a
    NorwaystrongestEconomicClearEconomic+0.45+0.12+0.09n/an/an/an/a
    PakistanstrongestReligiousNot clearNo clear lead+0.15+0.15+0.17n/an/an/an/a
    PalestinestrongestReligiousNot clearNo clear lead−0.03+0.09+0.09n/an/an/an/a
    PerustrongestReligiousNot clearNo clear lead+0.07−0.02+0.08n/an/an/an/a
    PhilippinesstrongestReligiousNot clearNo clear lead+0.040.00+0.07n/an/an/an/a
    PolandstrongestMoralNot clearNo clear lead0.00+0.28+0.28n/an/an/an/a
    PortugalstrongestReligiousNot clearNo clear lead+0.12+0.04+0.15n/an/an/an/a
    Puerto RicostrongestMoralNot clearNo clear lead+0.11+0.11+0.03n/an/an/an/a
    RomaniastrongestEconomicClearEconomic+0.11−0.06+0.01n/an/an/an/a
    RussiastrongestReligiousClearReligious+0.06−0.01+0.11n/an/an/an/a
    RwandastrongestEconomicClearEconomic+0.110.000.00n/an/an/an/a
    SerbiastrongestReligiousNot clearNo clear lead+0.01+0.07+0.08n/an/an/an/a
    SingaporestrongestMoralClearMoral−0.04+0.18+0.11n/an/an/an/a
    SlovakiastrongestEconomicClearEconomic+0.12−0.04−0.01n/an/an/an/a
    SloveniastrongestReligiousNot clearNo clear lead−0.03+0.30+0.33n/an/an/an/a
    South AfricastrongestReligiousNot clearNo clear lead+0.05−0.07+0.07n/an/an/an/a
    South KoreastrongestMoralClearMoral+0.02+0.20+0.06n/an/an/an/a
    SpainstrongestReligiousClearReligious+0.20+0.32+0.36n/an/an/an/a
    SwedenstrongestEconomicClearEconomic+0.59+0.05+0.03n/an/an/an/a
    SwitzerlandstrongestEconomicClearEconomic+0.34+0.20+0.09n/an/an/an/a
    Taiwan ROCstrongestMoralClearMoral−0.09+0.12+0.02n/an/an/an/a
    TajikistanstrongestReligiousClearReligious+0.11−0.03+0.27n/an/an/an/a
    ThailandstrongestEconomicNot clearNo clear lead+0.04−0.04+0.02n/an/an/an/a
    Trinidad and TobagostrongestNo axis above zeroNo axis above zeroNo clear lead+0.04−0.02+0.02n/an/an/an/a
    TunisiastrongestReligiousNot clearNo clear lead−0.03+0.09+0.11n/an/an/an/a
    TurkeystrongestReligiousClearReligious+0.08+0.19+0.21n/an/an/an/a
    UkrainestrongestReligiousNot clearNo clear lead+0.08+0.01+0.10n/an/an/an/a
    United KingdomstrongestEconomicClearEconomic+0.36+0.17+0.12n/an/an/an/a
    United StatesstrongestEconomicClearEconomic+0.41+0.37+0.28n/an/an/an/a
    UruguaystrongestEconomicNot clearNo clear lead+0.21+0.19+0.20n/an/an/an/a
    UzbekistanstrongestReligiousClearReligious−0.13−0.01+0.19n/an/an/an/a
    VenezuelastrongestEconomicClearEconomic+0.24+0.02−0.04n/an/an/an/a
    VietnamstrongestMoralNot clearNo clear lead+0.10+0.13+0.09n/an/an/an/a
    ZambiastrongestEconomicNot clearNo clear lead+0.08+0.03−0.02n/an/an/an/a
    ZimbabwestrongestNo axis above zeroNo axis above zeroNo clear lead−0.08−0.02−0.04n/an/an/an/a
    Albaniaeconomicn/an/an/an/an/an/a+0.01−0.04+0.062,211
    Algeriaeconomicn/an/an/an/an/an/a−0.08−0.16+0.01532
    Andorraeconomicn/an/an/an/an/an/a+0.22+0.17+0.261,822
    Argentinaeconomicn/an/an/an/an/an/a+0.18+0.14+0.232,293
    Armeniaeconomicn/an/an/an/an/an/a+0.05+0.02+0.093,788
    Australiaeconomicn/an/an/an/an/an/a+0.33+0.30+0.364,426
    Austriaeconomicn/an/an/an/an/an/a+0.21+0.17+0.252,705
    Azerbaijaneconomicn/an/an/an/an/an/a−0.06−0.10−0.012,158
    Bangladesheconomicn/an/an/an/an/an/a−0.01−0.06+0.051,200
    Belaruseconomicn/an/an/an/an/an/a+0.02−0.02+0.053,213
    Belgiumeconomicn/an/an/an/an/an/a+0.25+0.20+0.301,414
    Boliviaeconomicn/an/an/an/an/an/a+0.040.00+0.091,778
    Bosnia Herzegovinaeconomicn/an/an/an/an/an/a−0.03−0.07+0.022,298
    Brazileconomicn/an/an/an/an/an/a+0.07+0.04+0.103,642
    Bulgariaeconomicn/an/an/an/an/an/a+0.25+0.21+0.292,773
    Burkina Fasoeconomicn/an/an/an/an/an/a−0.02−0.08+0.041,058
    Canadaeconomicn/an/an/an/an/an/a+0.29+0.26+0.325,629
    Chileeconomicn/an/an/an/an/an/a+0.26+0.21+0.312,103
    Colombiaeconomicn/an/an/an/an/an/a+0.04+0.01+0.075,016
    Croatiaeconomicn/an/an/an/an/an/a+0.02−0.03+0.072,352
    Cypruseconomicn/an/an/an/an/an/a0.00−0.04+0.043,266
    Czechiaeconomicn/an/an/an/an/an/a+0.37+0.35+0.403,991
    Denmarkeconomicn/an/an/an/an/an/a+0.46+0.43+0.494,679
    Ecuadoreconomicn/an/an/an/an/an/a0.00−0.04+0.042,238
    Egypteconomicn/an/an/an/an/an/a+0.18+0.15+0.224,238
    Estoniaeconomicn/an/an/an/an/an/a+0.26+0.23+0.293,302
    Ethiopiaeconomicn/an/an/an/an/an/a+0.23+0.19+0.281,917
    Finlandeconomicn/an/an/an/an/an/a+0.44+0.40+0.472,932
    Franceeconomicn/an/an/an/an/an/a+0.34+0.31+0.373,827
    Georgiaeconomicn/an/an/an/an/an/a+0.030.00+0.074,227
    Germanyeconomicn/an/an/an/an/an/a+0.19+0.17+0.228,683
    Ghanaeconomicn/an/an/an/an/an/a+0.25+0.21+0.302,333
    Greeceeconomicn/an/an/an/an/an/a+0.19+0.15+0.242,184
    Guatemalaeconomicn/an/an/an/an/an/a+0.04−0.01+0.101,213
    Haitieconomicn/an/an/an/an/an/a−0.03−0.07+0.021,944
    Hong Kong SAReconomicn/an/an/an/an/an/a−0.01−0.05+0.023,946
    Hungaryeconomicn/an/an/an/an/an/a0.00−0.04+0.033,447
    Icelandeconomicn/an/an/an/an/an/a+0.50+0.46+0.532,307
    Indiaeconomicn/an/an/an/an/an/a+0.06+0.03+0.095,436
    Indonesiaeconomicn/an/an/an/an/an/a+0.040.00+0.074,061
    Iraqeconomicn/an/an/an/an/an/a+0.01−0.06+0.07975
    Irelandeconomicn/an/an/an/an/an/a+0.07−0.01+0.15687
    Italyeconomicn/an/an/an/an/an/a+0.24+0.21+0.273,509
    Japaneconomicn/an/an/an/an/an/a+0.10+0.07+0.143,446
    Kazakhstaneconomicn/an/an/an/an/an/a+0.10+0.05+0.151,500
    Kenyaeconomicn/an/an/an/an/an/a−0.10−0.15−0.041,161
    Kosovoeconomicn/an/an/an/an/an/a+0.03−0.05+0.11654
    Kyrgyzstaneconomicn/an/an/an/an/an/a+0.11+0.06+0.161,461
    Latviaeconomicn/an/an/an/an/an/a+0.07+0.02+0.112,056
    Lebanoneconomicn/an/an/an/an/an/a−0.03−0.10+0.04834
    Libyaeconomicn/an/an/an/an/an/a−0.01−0.06+0.042,447
    Lithuaniaeconomicn/an/an/an/an/an/a+0.10+0.05+0.151,871
    Luxembourgeconomicn/an/an/an/an/an/a+0.16+0.10+0.221,257
    Macau SAReconomicn/an/an/an/an/an/a−0.01−0.07+0.05995
    Malaysiaeconomicn/an/an/an/an/an/a−0.03−0.07+0.012,613
    Maldiveseconomicn/an/an/an/an/an/a+0.02−0.04+0.081,023
    Malieconomicn/an/an/an/an/an/a+0.02−0.04+0.081,147
    Maltaeconomicn/an/an/an/an/an/a+0.26+0.19+0.33750
    Mexicoeconomicn/an/an/an/an/an/a+0.02−0.01+0.044,752
    Moldovaeconomicn/an/an/an/an/an/a+0.10+0.05+0.151,651
    Mongoliaeconomicn/an/an/an/an/an/a−0.16−0.20−0.101,613
    Montenegroeconomicn/an/an/an/an/an/a−0.04−0.10+0.021,250
    Moroccoeconomicn/an/an/an/an/an/a+0.09+0.05+0.141,909
    Netherlandseconomicn/an/an/an/an/an/a+0.39+0.37+0.417,741
    New Zealandeconomicn/an/an/an/an/an/a+0.46+0.42+0.501,372
    Nicaraguaeconomicn/an/an/an/an/an/a−0.07−0.130.00871
    Nigeriaeconomicn/an/an/an/an/an/a0.00−0.04+0.042,927
    North Macedoniaeconomicn/an/an/an/an/an/a+0.02−0.03+0.071,759
    Norwayeconomicn/an/an/an/an/an/a+0.45+0.42+0.483,148
    Pakistaneconomicn/an/an/an/an/an/a+0.15+0.09+0.201,200
    Palestineeconomicn/an/an/an/an/an/a−0.03−0.10+0.05727
    Perueconomicn/an/an/an/an/an/a+0.07+0.03+0.103,280
    Philippineseconomicn/an/an/an/an/an/a+0.040.00+0.092,389
    Polandeconomicn/an/an/an/an/an/a0.00−0.03+0.033,718
    Portugaleconomicn/an/an/an/an/an/a+0.12+0.06+0.171,895
    Puerto Ricoeconomicn/an/an/an/an/an/a+0.11+0.05+0.171,047
    Romaniaeconomicn/an/an/an/an/an/a+0.11+0.08+0.144,705
    Russiaeconomicn/an/an/an/an/an/a+0.06+0.03+0.104,564
    Rwandaeconomicn/an/an/an/an/an/a+0.11+0.07+0.152,552
    Serbiaeconomicn/an/an/an/an/an/a+0.01−0.03+0.043,746
    Singaporeeconomicn/an/an/an/an/an/a−0.04−0.090.001,743
    Slovakiaeconomicn/an/an/an/an/an/a+0.12+0.09+0.163,336
    Sloveniaeconomicn/an/an/an/an/an/a−0.03−0.070.003,138
    South Africaeconomicn/an/an/an/an/an/a+0.05+0.01+0.085,541
    South Koreaeconomicn/an/an/an/an/an/a+0.02−0.02+0.073,637
    Spaineconomicn/an/an/an/an/an/a+0.20+0.17+0.234,200
    Swedeneconomicn/an/an/an/an/an/a+0.59+0.57+0.614,213
    Switzerlandeconomicn/an/an/an/an/an/a+0.34+0.32+0.375,154
    Taiwan ROCeconomicn/an/an/an/an/an/a−0.09−0.13−0.063,554
    Tajikistaneconomicn/an/an/an/an/an/a+0.11+0.05+0.171,200
    Thailandeconomicn/an/an/an/an/an/a+0.040.00+0.073,758
    Trinidad and Tobagoeconomicn/an/an/an/an/an/a+0.04−0.01+0.101,211
    Tunisiaeconomicn/an/an/an/an/an/a−0.03−0.08+0.021,682
    Turkeyeconomicn/an/an/an/an/an/a+0.08+0.05+0.106,325
    Ukraineeconomicn/an/an/an/an/an/a+0.08+0.03+0.124,667
    United Kingdomeconomicn/an/an/an/an/an/a+0.36+0.34+0.396,124
    United Stateseconomicn/an/an/an/an/an/a+0.41+0.38+0.445,866
    Uruguayeconomicn/an/an/an/an/an/a+0.21+0.17+0.252,571
    Uzbekistaneconomicn/an/an/an/an/an/a−0.13−0.21−0.05591
    Venezuelaeconomicn/an/an/an/an/an/a+0.24+0.19+0.301,190
    Vietnameconomicn/an/an/an/an/an/a+0.10+0.05+0.161,376
    Zambiaeconomicn/an/an/an/an/an/a+0.08+0.01+0.14948
    Zimbabweeconomicn/an/an/an/an/an/a−0.08−0.13−0.042,627
    Albaniamoraln/an/an/an/an/an/a+0.02−0.03+0.062,220
    Algeriamoraln/an/an/an/an/an/a−0.09−0.170.00521
    Andorramoraln/an/an/an/an/an/a+0.21+0.16+0.251,821
    Argentinamoraln/an/an/an/an/an/a+0.16+0.12+0.212,240
    Armeniamoraln/an/an/an/an/an/a+0.03−0.01+0.063,780
    Australiamoraln/an/an/an/an/an/a+0.22+0.18+0.254,430
    Austriamoraln/an/an/an/an/an/a+0.19+0.15+0.232,681
    Azerbaijanmoraln/an/an/an/an/an/a−0.03−0.08+0.022,138
    Bangladeshmoraln/an/an/an/an/an/a+0.17+0.11+0.221,200
    Belarusmoraln/an/an/an/an/an/a−0.01−0.05+0.023,202
    Belgiummoraln/an/an/an/an/an/a+0.08+0.02+0.131,419
    Boliviamoraln/an/an/an/an/an/a0.00−0.05+0.051,780
    Bosnia Herzegovinamoraln/an/an/an/an/an/a+0.13+0.08+0.172,285
    Brazilmoraln/an/an/an/an/an/a+0.09+0.06+0.123,624
    Bulgariamoraln/an/an/an/an/an/a−0.08−0.12−0.042,709
    Burkina Fasomoraln/an/an/an/an/an/a−0.09−0.15−0.031,084
    Canadamoraln/an/an/an/an/an/a+0.29+0.26+0.325,604
    Chilemoraln/an/an/an/an/an/a+0.14+0.08+0.192,077
    Colombiamoraln/an/an/an/an/an/a+0.14+0.11+0.165,015
    Croatiamoraln/an/an/an/an/an/a+0.33+0.29+0.372,358
    Cyprusmoraln/an/an/an/an/an/a+0.09+0.05+0.133,262
    Czechiamoraln/an/an/an/an/an/a−0.11−0.14−0.073,909
    Denmarkmoraln/an/an/an/an/an/a+0.12+0.09+0.164,701
    Ecuadormoraln/an/an/an/an/an/a−0.04−0.080.002,235
    Estoniamoraln/an/an/an/an/an/a−0.03−0.07+0.013,240
    Ethiopiamoraln/an/an/an/an/an/a−0.11−0.15−0.061,902
    Finlandmoraln/an/an/an/an/an/a+0.16+0.12+0.202,910
    Francemoraln/an/an/an/an/an/a+0.19+0.15+0.223,818
    Georgiamoraln/an/an/an/an/an/a+0.06+0.03+0.094,271
    Germanymoraln/an/an/an/an/an/a+0.16+0.13+0.188,668
    Ghanamoraln/an/an/an/an/an/a−0.08−0.13−0.042,324
    Greecemoraln/an/an/an/an/an/a+0.29+0.25+0.332,188
    Guatemalamoraln/an/an/an/an/an/a+0.06+0.01+0.121,213
    Haitimoraln/an/an/an/an/an/a+0.02−0.03+0.061,932
    Hong Kong SARmoraln/an/an/an/an/an/a−0.06−0.09−0.023,955
    Hungarymoraln/an/an/an/an/an/a+0.09+0.06+0.123,448
    Icelandmoraln/an/an/an/an/an/a+0.16+0.11+0.202,306
    Indiamoraln/an/an/an/an/an/a0.00−0.02+0.035,618
    Indonesiamoraln/an/an/an/an/an/a−0.02−0.06+0.024,086
    Iraqmoraln/an/an/an/an/an/a+0.13+0.07+0.19968
    Irelandmoraln/an/an/an/an/an/a+0.22+0.14+0.30665
    Italymoraln/an/an/an/an/an/a+0.17+0.14+0.213,452
    Japanmoraln/an/an/an/an/an/a+0.14+0.11+0.173,354
    Kazakhstanmoraln/an/an/an/an/an/a+0.04−0.01+0.091,500
    Kenyamoraln/an/an/an/an/an/a+0.10+0.05+0.161,127
    Kosovomoraln/an/an/an/an/an/a−0.02−0.10+0.06655
    Kyrgyzstanmoraln/an/an/an/an/an/a+0.18+0.13+0.231,459
    Latviamoraln/an/an/an/an/an/a+0.02−0.03+0.062,028
    Lebanonmoraln/an/an/an/an/an/a0.00−0.07+0.07837
    Libyamoraln/an/an/an/an/an/a0.00−0.05+0.042,514
    Lithuaniamoraln/an/an/an/an/an/a+0.04−0.01+0.081,829
    Luxembourgmoraln/an/an/an/an/an/a+0.23+0.17+0.291,254
    Macau SARmoraln/an/an/an/an/an/a+0.02−0.04+0.08997
    Malaysiamoraln/an/an/an/an/an/a+0.09+0.05+0.122,613
    Maldivesmoraln/an/an/an/an/an/a+0.17+0.11+0.231,023
    Malimoraln/an/an/an/an/an/a+0.02−0.04+0.081,081
    Maltamoraln/an/an/an/an/an/a+0.16+0.09+0.24751
    Mexicomoraln/an/an/an/an/an/a+0.06+0.03+0.084,734
    Moldovamoraln/an/an/an/an/an/a−0.02−0.07+0.031,638
    Mongoliamoraln/an/an/an/an/an/a+0.01−0.04+0.061,613
    Montenegromoraln/an/an/an/an/an/a+0.09+0.03+0.151,250
    Moroccomoraln/an/an/an/an/an/a+0.03−0.01+0.081,904
    Netherlandsmoraln/an/an/an/an/an/a+0.16+0.13+0.187,801
    New Zealandmoraln/an/an/an/an/an/a+0.19+0.14+0.241,352
    Nicaraguamoraln/an/an/an/an/an/a−0.06−0.12+0.01871
    Nigeriamoraln/an/an/an/an/an/a0.00−0.04+0.052,928
    North Macedoniamoraln/an/an/an/an/an/a+0.07+0.02+0.121,763
    Norwaymoraln/an/an/an/an/an/a+0.12+0.09+0.163,142
    Pakistanmoraln/an/an/an/an/an/a+0.15+0.09+0.211,200
    Palestinemoraln/an/an/an/an/an/a+0.09+0.02+0.16725
    Perumoraln/an/an/an/an/an/a−0.02−0.06+0.022,183
    Philippinesmoraln/an/an/an/an/an/a0.00−0.04+0.052,389
    Polandmoraln/an/an/an/an/an/a+0.28+0.25+0.313,646
    Portugalmoraln/an/an/an/an/an/a+0.04−0.01+0.101,915
    Puerto Ricomoraln/an/an/an/an/an/a+0.11+0.05+0.171,049
    Romaniamoraln/an/an/an/an/an/a−0.06−0.09−0.034,615
    Russiamoraln/an/an/an/an/an/a−0.01−0.04+0.034,507
    Rwandamoraln/an/an/an/an/an/a0.00−0.04+0.032,554
    Serbiamoraln/an/an/an/an/an/a+0.07+0.03+0.113,654
    Singaporemoraln/an/an/an/an/an/a+0.18+0.13+0.221,737
    Slovakiamoraln/an/an/an/an/an/a−0.04−0.080.003,260
    Sloveniamoraln/an/an/an/an/an/a+0.30+0.26+0.333,127
    South Africamoraln/an/an/an/an/an/a−0.07−0.10−0.035,512
    South Koreamoraln/an/an/an/an/an/a+0.20+0.16+0.243,637
    Spainmoraln/an/an/an/an/an/a+0.32+0.30+0.354,220
    Swedenmoraln/an/an/an/an/an/a+0.05+0.02+0.084,155
    Switzerlandmoraln/an/an/an/an/an/a+0.20+0.17+0.235,159
    Taiwan ROCmoraln/an/an/an/an/an/a+0.12+0.08+0.153,536
    Tajikistanmoraln/an/an/an/an/an/a−0.03−0.09+0.031,200
    Thailandmoraln/an/an/an/an/an/a−0.04−0.07−0.013,751
    Trinidad and Tobagomoraln/an/an/an/an/an/a−0.02−0.07+0.041,206
    Tunisiamoraln/an/an/an/an/an/a+0.09+0.04+0.131,696
    Turkeymoraln/an/an/an/an/an/a+0.19+0.16+0.216,427
    Ukrainemoraln/an/an/an/an/an/a+0.01−0.03+0.064,550
    United Kingdommoraln/an/an/an/an/an/a+0.17+0.14+0.206,116
    United Statesmoraln/an/an/an/an/an/a+0.37+0.34+0.405,823
    Uruguaymoraln/an/an/an/an/an/a+0.19+0.15+0.232,600
    Uzbekistanmoraln/an/an/an/an/an/a−0.01−0.09+0.07615
    Venezuelamoraln/an/an/an/an/an/a+0.02−0.03+0.081,190
    Vietnammoraln/an/an/an/an/an/a+0.13+0.08+0.181,381
    Zambiamoraln/an/an/an/an/an/a+0.03−0.03+0.10945
    Zimbabwemoraln/an/an/an/an/an/a−0.02−0.07+0.022,626
    Albaniareligiousn/an/an/an/an/an/a+0.13+0.09+0.182,209
    Algeriareligiousn/an/an/an/an/an/a−0.02−0.11+0.06536
    Andorrareligiousn/an/an/an/an/an/a+0.22+0.17+0.261,813
    Argentinareligiousn/an/an/an/an/an/a+0.22+0.18+0.262,326
    Armeniareligiousn/an/an/an/an/an/a+0.040.00+0.083,758
    Australiareligiousn/an/an/an/an/an/a+0.20+0.16+0.234,456
    Austriareligiousn/an/an/an/an/an/a+0.13+0.09+0.172,710
    Azerbaijanreligiousn/an/an/an/an/an/a+0.040.00+0.092,152
    Bangladeshreligiousn/an/an/an/an/an/a+0.01−0.05+0.061,200
    Belarusreligiousn/an/an/an/an/an/a+0.07+0.04+0.113,186
    Belgiumreligiousn/an/an/an/an/an/a+0.12+0.07+0.171,421
    Boliviareligiousn/an/an/an/an/an/a+0.05+0.01+0.101,803
    Bosnia Herzegovinareligiousn/an/an/an/an/an/a+0.19+0.15+0.232,269
    Brazilreligiousn/an/an/an/an/an/a+0.09+0.06+0.123,673
    Bulgariareligiousn/an/an/an/an/an/a+0.05+0.01+0.092,670
    Burkina Fasoreligiousn/an/an/an/an/an/a−0.04−0.09+0.021,109
    Canadareligiousn/an/an/an/an/an/a+0.25+0.22+0.285,628
    Chilereligiousn/an/an/an/an/an/a+0.09+0.04+0.152,085
    Colombiareligiousn/an/an/an/an/an/a+0.12+0.09+0.145,005
    Croatiareligiousn/an/an/an/an/an/a+0.36+0.32+0.402,354
    Cyprusreligiousn/an/an/an/an/an/a+0.07+0.04+0.113,279
    Czechiareligiousn/an/an/an/an/an/a+0.01−0.02+0.053,856
    Denmarkreligiousn/an/an/an/an/an/a+0.06+0.03+0.104,678
    Ecuadorreligiousn/an/an/an/an/an/a+0.05+0.01+0.092,243
    Egyptreligiousn/an/an/an/an/an/a0.00−0.04+0.042,721
    Estoniareligiousn/an/an/an/an/an/a−0.06−0.10−0.033,216
    Ethiopiareligiousn/an/an/an/an/an/a+0.11+0.07+0.161,914
    Finlandreligiousn/an/an/an/an/an/a+0.19+0.15+0.232,897
    Francereligiousn/an/an/an/an/an/a+0.18+0.15+0.223,845
    Georgiareligiousn/an/an/an/an/an/a+0.05+0.02+0.084,283
    Germanyreligiousn/an/an/an/an/an/a+0.14+0.11+0.168,654
    Ghanareligiousn/an/an/an/an/an/a+0.03−0.02+0.072,330
    Greecereligiousn/an/an/an/an/an/a+0.29+0.25+0.332,118
    Guatemalareligiousn/an/an/an/an/an/a+0.060.00+0.111,211
    Haitireligiousn/an/an/an/an/an/a+0.01−0.03+0.051,929
    Hong Kong SARreligiousn/an/an/an/an/an/a+0.06+0.02+0.093,801
    Hungaryreligiousn/an/an/an/an/an/a+0.15+0.12+0.193,432
    Icelandreligiousn/an/an/an/an/an/a+0.13+0.08+0.172,299
    Indiareligiousn/an/an/an/an/an/a+0.12+0.10+0.155,785
    Indonesiareligiousn/an/an/an/an/an/a+0.07+0.03+0.104,082
    Iraqreligiousn/an/an/an/an/an/a+0.07+0.01+0.13978
    Irelandreligiousn/an/an/an/an/an/a+0.22+0.14+0.29682
    Italyreligiousn/an/an/an/an/an/a+0.19+0.16+0.233,515
    Japanreligiousn/an/an/an/an/an/a+0.13+0.10+0.163,386
    Kazakhstanreligiousn/an/an/an/an/an/a+0.11+0.06+0.161,500
    Kenyareligiousn/an/an/an/an/an/a−0.04−0.10+0.021,160
    Kosovoreligiousn/an/an/an/an/an/a−0.06−0.13+0.02650
    Kyrgyzstanreligiousn/an/an/an/an/an/a+0.18+0.13+0.231,458
    Latviareligiousn/an/an/an/an/an/a+0.05+0.01+0.102,033
    Lebanonreligiousn/an/an/an/an/an/a+0.11+0.04+0.17834
    Libyareligiousn/an/an/an/an/an/a+0.03−0.02+0.082,594
    Lithuaniareligiousn/an/an/an/an/an/a+0.12+0.07+0.161,812
    Luxembourgreligiousn/an/an/an/an/an/a+0.27+0.21+0.331,261
    Macau SARreligiousn/an/an/an/an/an/a+0.06−0.01+0.12996
    Malaysiareligiousn/an/an/an/an/an/a+0.15+0.11+0.182,613
    Maldivesreligiousn/an/an/an/an/an/a+0.09+0.03+0.151,023
    Malireligiousn/an/an/an/an/an/a+0.01−0.04+0.071,140
    Maltareligiousn/an/an/an/an/an/a+0.07−0.01+0.15770
    Mexicoreligiousn/an/an/an/an/an/a+0.10+0.07+0.134,781
    Moldovareligiousn/an/an/an/an/an/a+0.050.00+0.101,657
    Mongoliareligiousn/an/an/an/an/an/a+0.20+0.15+0.251,611
    Montenegroreligiousn/an/an/an/an/an/a+0.15+0.09+0.211,218
    Moroccoreligiousn/an/an/an/an/an/a+0.04−0.01+0.081,914
    Netherlandsreligiousn/an/an/an/an/an/a+0.13+0.10+0.157,785
    New Zealandreligiousn/an/an/an/an/an/a+0.13+0.08+0.181,361
    Nicaraguareligiousn/an/an/an/an/an/a+0.02−0.05+0.08871
    Nigeriareligiousn/an/an/an/an/an/a+0.040.00+0.082,929
    North Macedoniareligiousn/an/an/an/an/an/a+0.09+0.04+0.141,729
    Norwayreligiousn/an/an/an/an/an/a+0.09+0.06+0.133,144
    Pakistanreligiousn/an/an/an/an/an/a+0.17+0.11+0.221,200
    Palestinereligiousn/an/an/an/an/an/a+0.09+0.02+0.16728
    Perureligiousn/an/an/an/an/an/a+0.08+0.04+0.113,339
    Philippinesreligiousn/an/an/an/an/an/a+0.07+0.03+0.122,388
    Polandreligiousn/an/an/an/an/an/a+0.28+0.25+0.313,703
    Portugalreligiousn/an/an/an/an/an/a+0.15+0.09+0.201,954
    Puerto Ricoreligiousn/an/an/an/an/an/a+0.03−0.03+0.091,042
    Romaniareligiousn/an/an/an/an/an/a+0.01−0.02+0.044,728
    Russiareligiousn/an/an/an/an/an/a+0.11+0.07+0.144,411
    Rwandareligiousn/an/an/an/an/an/a0.00−0.04+0.042,554
    Serbiareligiousn/an/an/an/an/an/a+0.08+0.04+0.123,715
    Singaporereligiousn/an/an/an/an/an/a+0.11+0.06+0.151,740
    Slovakiareligiousn/an/an/an/an/an/a−0.01−0.05+0.033,257
    Sloveniareligiousn/an/an/an/an/an/a+0.33+0.30+0.363,098
    South Africareligiousn/an/an/an/an/an/a+0.07+0.04+0.115,568
    South Koreareligiousn/an/an/an/an/an/a+0.06+0.02+0.103,631
    Spainreligiousn/an/an/an/an/an/a+0.36+0.33+0.394,244
    Swedenreligiousn/an/an/an/an/an/a+0.03−0.01+0.064,155
    Switzerlandreligiousn/an/an/an/an/an/a+0.09+0.07+0.125,138
    Taiwan ROCreligiousn/an/an/an/an/an/a+0.02−0.02+0.053,561
    Tajikistanreligiousn/an/an/an/an/an/a+0.27+0.22+0.321,200
    Thailandreligiousn/an/an/an/an/an/a+0.02−0.02+0.053,656
    Trinidad and Tobagoreligiousn/an/an/an/an/an/a+0.02−0.04+0.081,210
    Tunisiareligiousn/an/an/an/an/an/a+0.11+0.07+0.161,681
    Turkeyreligiousn/an/an/an/an/an/a+0.21+0.19+0.246,438
    Ukrainereligiousn/an/an/an/an/an/a+0.10+0.06+0.154,601
    United Kingdomreligiousn/an/an/an/an/an/a+0.12+0.09+0.156,155
    United Statesreligiousn/an/an/an/an/an/a+0.28+0.25+0.315,858
    Uruguayreligiousn/an/an/an/an/an/a+0.20+0.16+0.242,586
    Uzbekistanreligiousn/an/an/an/an/an/a+0.19+0.11+0.27615
    Venezuelareligiousn/an/an/an/an/an/a−0.04−0.09+0.021,190
    Vietnamreligiousn/an/an/an/an/an/a+0.09+0.03+0.141,373
    Zambiareligiousn/an/an/an/an/an/a−0.02−0.08+0.04946
    Zimbabwereligiousn/an/an/an/an/an/a−0.04−0.090.002,627
    Economic attitudes lead clearly in the United States, Australia and the Nordic countries, and religion in Spain, Turkey, Russia, Mexico and India. A lead is clear when the lower end of the leading interval lies above the point estimate of every other axis, and a country without a clear lead is shaded grey. The other views show the largest loading whether or not the lead is clear, the status of the lead and each loading with its interval. A loading is the weighted correlation of left-right with the economic index, the moral index or the importance of God.Note: Northern Ireland shares the United Kingdom outline and is left off the map, but it is counted in the totals (its largest loading is on the economic axis and the lead is not clear). Jordan, Northern Cyprus and Yemen have too few effective respondents for a stable estimate and draw as no data.Note: The classification uses point estimates and compares axes measured with different numbers of items, so a lead compares loadings of unequal reliability.Note: In the loading views, loadings beyond the ends of the scale draw in the end class, and the key says so.Source: World Values Survey and European Values Study, fieldwork 2005-2023; weighted (weight, S017 within each country); countries with an effective sample of 300 or more

    Economic attitudes are the clear leader in the United States, Australia, the Nordic countries, the United Kingdom, France, Germany and the Netherlands. Religion is the clear leader in Spain, Turkey, Russia, Mexico and India, and moral attitudes in South Korea. Canada, Portugal, Greece, Brazil, Poland and Japan each have a leader that is not clear. Earlier work on Western Europe found that the label tracked both religious-secular values and economic left-right values [3], and the economic and religious loading views of the map show how the two compare in each country.

    The moral and religious loadings resemble each other. Inside a country, the moral index and the importance of God have a median correlation of +0.21+0.21 correlation coefficient (loading), from −1 to +1Estimandmedian across countries of the within-country correlation between the moral index and importance of GodWeightsweight (S017) within the countryPopulationrespondents within a country, median across countriesPeriodfieldwork 2005 or laterSourceWorld Values Survey and EVS, and across countries the two loadings correlate at +0.72 (95% CI 0.61 to 0.80)+0.72 correlation coefficient (loading), from −1 to +1EstimandPearson correlation across countries of the moral and religious loadings (Fisher z interval)Interval95% CI 0.61 to 0.80n103Weightsweight (S017) within each country; every country counted once across countriesPopulationcountries with usable loadings on both axesPeriodfieldwork 2005 or laterSourceWorld Values Survey and EVS, so a country with a high loading on one usually has a high loading on the other. The economic index is a separate matter: its median correlation with the moral index inside a country is −0.01−0.01 correlation coefficient (loading), from −1 to +1Estimandmedian across countries of the within-country correlation between the economic and moral indicesWeightsweight (S017) within the countryPopulationrespondents within a country, median across countriesPeriodfieldwork 2005 or laterSourceWorld Values Survey and EVS. A cross-national study of survey data from many nations likewise found that economically and culturally right-wing attitudes seldom line up as one right-left dimension [4].

    Countries with different patterns

    Figure 2 shows the three loadings and their intervals for Sweden, Czechia, the United States, Poland, Spain and India. In Sweden the economic loading is +0.59 (95% CI 0.57 to 0.61)+0.59 correlation coefficient (loading), from −1 to +1Estimandweighted correlation of left-right with the economic index (higher = economic right)Interval95% CI 0.57 to 0.61n4,213Weightsweight (S017) within the countryPopulationrespondents in Sweden with a left-right answerPeriodfieldwork 2006, 2009, 2011, 2017, waves pooledSourceWorld Values Survey and EVS, while the religious loading is +0.03 (95% CI −0.01 to 0.06)+0.03 correlation coefficient (loading), from −1 to +1Estimandweighted correlation of left-right with importance of God (higher = more religious)Interval95% CI −0.01 to 0.06n4,155Weightsweight (S017) within the countryPopulationrespondents in Sweden with a left-right answerPeriodfieldwork 2006, 2009, 2011, 2017, waves pooledSourceWorld Values Survey and EVS, an interval that includes zero. Czechia has the same pattern, with an economic loading of +0.37 (95% CI 0.35 to 0.40)+0.37 correlation coefficient (loading), from −1 to +1Estimandweighted correlation of left-right with the economic index (higher = economic right)Interval95% CI 0.35 to 0.40n3,991Weightsweight (S017) within the countryPopulationrespondents in Czechia with a left-right answerPeriodfieldwork 2008, 2017, 2022, waves pooledSourceWorld Values Survey and EVS, and it adds a reversal: the moral loading is −0.11 (95% CI −0.14 to −0.07)−0.11 correlation coefficient (loading), from −1 to +1Estimandweighted correlation of left-right with the moral index (higher = morally conservative)Interval95% CI −0.14 to −0.07n3,909Weightsweight (S017) within the countryPopulationrespondents in Czechia with a left-right answerPeriodfieldwork 2008, 2017, 2022, waves pooledSourceWorld Values Survey and EVS, so people who take the conservative side on homosexuality, abortion and divorce place themselves further left on average than other Czechs do.

    Figure 2

    Left-right follows economic attitudes in Sweden and Czechia, and religion and moral attitudes in Poland and Spain

    Weighted correlation between left-right self-placement (1 to 10, 10 = right) and the axis, within country; 95% intervals; six countries; fieldwork 2005-2023

    • Economic
    • Moral
    • Religious

    Sweden

    Czechia

    United States

    Poland

    Spain

    India

    Loading: correlation of left-right with the axis

    Show data
    Data for Left-right follows economic attitudes in Sweden and Czechia, and religion and moral attitudes in Poland and Spain
    axisconf_highconf_lowcountryestimaten
    Economic0.6120.569Sweden0.5914,213
    Moral0.0820.016Sweden0.0494,155
    Religious0.059−0.007Sweden0.0264,155
    Economic0.4020.345Czechia0.3743,991
    Moral−0.073−0.139Czechia−0.1063,909
    Religious0.048−0.020Czechia0.0143,856
    Economic0.4370.385United States0.4115,866
    Moral0.3970.342United States0.3705,823
    Religious0.3130.254United States0.2845,858
    Economic0.033−0.034Poland0.0003,718
    Moral0.3150.253Poland0.2843,646
    Religious0.3110.249Poland0.2803,703
    Economic0.2250.166Spain0.1964,200
    Moral0.3510.296Spain0.3234,220
    Religious0.3860.333Spain0.3604,244
    Economic0.0850.031India0.0585,436
    Moral0.030−0.023India0.0035,618
    Religious0.1500.099India0.1255,785
    The largest loading is on the economic axis in Sweden and Czechia and on the moral or religious axis in Poland and Spain. Each panel is one country, dots are loadings and lines are 95% confidence intervals, and the tooltip and the data table give the values.Source: World Values Survey and European Values Study, fieldwork 2005-2023; weighted (weight, S017 within each country); countries with an effective sample of 300 or more

    In the United States all three loadings are positive, from +0.28+0.28 correlation coefficient (loading), from −1 to +1Estimandweighted correlation of left-right with importance of God (higher = more religious)Interval95% CI 0.25 to 0.31n5,858Weightsweight (S017) within the countryPopulationrespondents in United States with a left-right answerPeriodfieldwork 2006, 2011, 2017, waves pooledSourceWorld Values Survey and EVS for the importance of God to +0.41+0.41 correlation coefficient (loading), from −1 to +1Estimandweighted correlation of left-right with the economic index (higher = economic right)Interval95% CI 0.38 to 0.44n5,866Weightsweight (S017) within the countryPopulationrespondents in United States with a left-right answerPeriodfieldwork 2006, 2011, 2017, waves pooledSourceWorld Values Survey and EVS for economic attitudes. In Poland the pattern runs the other way: the moral loading is +0.28+0.28 correlation coefficient (loading), from −1 to +1Estimandweighted correlation of left-right with the moral index (higher = morally conservative)Interval95% CI 0.25 to 0.31n3,646Weightsweight (S017) within the countryPopulationrespondents in Poland with a left-right answerPeriodfieldwork 2005, 2008, 2012, 2017, waves pooledSourceWorld Values Survey and EVS and the religious loading is +0.28+0.28 correlation coefficient (loading), from −1 to +1Estimandweighted correlation of left-right with importance of God (higher = more religious)Interval95% CI 0.25 to 0.31n3,703Weightsweight (S017) within the countryPopulationrespondents in Poland with a left-right answerPeriodfieldwork 2005, 2008, 2012, 2017, waves pooledSourceWorld Values Survey and EVS, while the economic loading is 0.00 (95% CI −0.03 to 0.03)0.00 correlation coefficient (loading), from −1 to +1Estimandweighted correlation of left-right with the economic index (higher = economic right)Interval95% CI −0.03 to 0.03n3,718Weightsweight (S017) within the countryPopulationrespondents in Poland with a left-right answerPeriodfieldwork 2005, 2008, 2012, 2017, waves pooledSourceWorld Values Survey and EVS, an interval that includes zero. Spain has moral and religious loadings of +0.32+0.32 correlation coefficient (loading), from −1 to +1Estimandweighted correlation of left-right with the moral index (higher = morally conservative)Interval95% CI 0.30 to 0.35n4,220Weightsweight (S017) within the countryPopulationrespondents in Spain with a left-right answerPeriodfieldwork 2007, 2008, 2011, 2017, waves pooledSourceWorld Values Survey and EVS and +0.36+0.36 correlation coefficient (loading), from −1 to +1Estimandweighted correlation of left-right with importance of God (higher = more religious)Interval95% CI 0.33 to 0.39n4,244Weightsweight (S017) within the countryPopulationrespondents in Spain with a left-right answerPeriodfieldwork 2007, 2008, 2011, 2017, waves pooledSourceWorld Values Survey and EVS and a lower economic one. In India all three loadings are small, from 0.000.00 correlation coefficient (loading), from −1 to +1Estimandweighted correlation of left-right with the moral index (higher = morally conservative)Interval95% CI −0.02 to 0.03n5,618Weightsweight (S017) within the countryPopulationrespondents in India with a left-right answerPeriodfieldwork 2006, 2012, 2023, waves pooledSourceWorld Values Survey and EVS to +0.12+0.12 correlation coefficient (loading), from −1 to +1Estimandweighted correlation of left-right with importance of God (higher = more religious)Interval95% CI 0.10 to 0.15n5,785Weightsweight (S017) within the countryPopulationrespondents in India with a left-right answerPeriodfieldwork 2006, 2012, 2023, waves pooledSourceWorld Values Survey and EVS.

    Poland and Czechia are both post-communist and differ from each other, so the region is not uniform on this scale. One account holds that economic left and right meant something different in post-communist party systems, where left-wing governments were the ones to cut spending [5]. A comparison of European countries found that basic personal values explained left-right orientation poorly in post-communist countries [6]. This chapter tests neither account, and Chapter 8.1, Basic values and left-right takes up the values.

    Most loadings are small and above zero

    Figure 3 counts the countries by where the interval of each loading falls. An attitude is tied to left-right in a country when the 95% interval of its loading lies above zero. The importance of God is tied in 7575 countries and territoriesEstimandcount of countries where the 95% interval of the religious loading is above zeroWeightsnone (count)Populationcountries with an effective sample of 300 or morePeriodfieldwork 2005 or laterSourceWorld Values Survey and EVS of 104104 countries and territoriesEstimandcount of countries with a usable loading on the religious axisWeightsnone (count)Populationcountries with an effective sample of 300 or morePeriodfieldwork 2005 or laterSourceWorld Values Survey and EVS countries, economic attitudes in 6161 countries and territoriesEstimandcount of countries where the 95% interval of the economic loading is above zeroWeightsnone (count)Populationcountries with an effective sample of 300 or morePeriodfieldwork 2005 or laterSourceWorld Values Survey and EVS of 104104 countries and territoriesEstimandcount of countries with a usable loading on the economic axisWeightsnone (count)Populationcountries with an effective sample of 300 or morePeriodfieldwork 2005 or laterSourceWorld Values Survey and EVS and moral attitudes in 5757 countries and territoriesEstimandcount of countries where the 95% interval of the moral loading is above zeroWeightsnone (count)Populationcountries with an effective sample of 300 or morePeriodfieldwork 2005 or laterSourceWorld Values Survey and EVS of 103103 countries and territoriesEstimandcount of countries with a usable loading on the moral axisWeightsnone (count)Populationcountries with an effective sample of 300 or morePeriodfieldwork 2005 or laterSourceWorld Values Survey and EVS. Intervals below zero are rare. On the religious axis only Estonia has one (−0.06 (95% CI −0.10 to −0.03)−0.06 correlation coefficient (loading), from −1 to +1Estimandweighted correlation of left-right with importance of God (higher = more religious)Interval95% CI −0.10 to −0.03n3,216Weightsweight (S017) within the countryPopulationrespondents in Estonia with a left-right answerPeriodfieldwork 2008, 2011, 2018, waves pooledSourceWorld Values Survey and EVS), and the economic axis has 77 countries and territoriesEstimandcount of countries where the 95% interval of the economic loading is below zeroWeightsnone (count)Populationcountries with an effective sample of 300 or morePeriodfieldwork 2005 or laterSourceWorld Values Survey and EVS such countries and the moral axis 1111 countries and territoriesEstimandcount of countries where the 95% interval of the moral loading is below zeroWeightsnone (count)Populationcountries with an effective sample of 300 or morePeriodfieldwork 2005 or laterSourceWorld Values Survey and EVS.

    Figure 3

    Each loading has an interval above zero in most countries and below zero in a few

    Countries by the position of the 95% interval of the left-right loading relative to zero, by axis, fieldwork 2005-2023

    • Interval above zero
    • Interval includes zero
    • Interval below zero
    Show data
    Data for Each loading has an interval above zero in most countries and below zero in a few
    axisn_countriesrelation
    Economic61Interval above zero
    Economic36Interval includes zero
    Economic7Interval below zero
    Moral57Interval above zero
    Moral35Interval includes zero
    Moral11Interval below zero
    Religious75Interval above zero
    Religious28Interval includes zero
    Religious1Interval below zero
    The religious loading has an interval above zero in 75 of 104 countries, against 61 of 104 for the economic loading and 57 of 103 for the moral loading, and it has the fewest countries with an interval below zero. Bars split the countries with a usable estimate into those whose interval lies above zero, includes zero and lies below zero. Egypt has no respondent with a left-right answer and two of the three moral answers, so the moral axis has one country fewer.Source: World Values Survey and European Values Study, fieldwork 2005-2023; weighted (weight, S017 within each country); countries with an effective sample of 300 or more

    In Mongolia the economic loading is −0.16 (95% CI −0.20 to −0.10)−0.16 correlation coefficient (loading), from −1 to +1Estimandweighted correlation of left-right with the economic index (higher = economic right)Interval95% CI −0.20 to −0.10n1,613Weightsweight (S017) within the countryPopulationrespondents in Mongolia with a left-right answerPeriodfieldwork 2020, waves pooledSourceWorld Values Survey and EVS, so people who give market-oriented answers place themselves further left on average than others do. Most loadings are small (Figure 4). The median is +0.09 (95% CI 0.07 to 0.11)+0.09 correlation coefficient (loading), from −1 to +1Estimandmedian across countries of the religious loading (bootstrap over countries)Interval95% CI 0.07 to 0.11n104Weightsweight (S017) within each country; every country counted once across countriesPopulationcountries with an effective sample of 300 or morePeriodfieldwork 2005 or laterSourceWorld Values Survey and EVS for religion, +0.07 (95% CI 0.04 to 0.10)+0.07 correlation coefficient (loading), from −1 to +1Estimandmedian across countries of the economic loading (bootstrap over countries)Interval95% CI 0.04 to 0.10n104Weightsweight (S017) within each country; every country counted once across countriesPopulationcountries with an effective sample of 300 or morePeriodfieldwork 2005 or laterSourceWorld Values Survey and EVS for economic attitudes and +0.07 (95% CI 0.03 to 0.11)+0.07 correlation coefficient (loading), from −1 to +1Estimandmedian across countries of the moral loading (bootstrap over countries)Interval95% CI 0.03 to 0.11n103Weightsweight (S017) within each country; every country counted once across countriesPopulationcountries with an effective sample of 300 or morePeriodfieldwork 2005 or laterSourceWorld Values Survey and EVS for moral attitudes, and 1414 countries and territoriesEstimandcount of countries where the economic loading is +0.30 or higherWeightsnone (count)Populationcountries with an effective sample of 300 or morePeriodfieldwork 2005 or laterSourceWorld Values Survey and EVS countries have an economic loading above +0.30+0.30 correlation coefficient (loading), from −1 to +1Estimandcutoff for a larger loadingWeightsnone (constant)Populationthreshold used to count larger loadingsPeriodfieldwork 2005 or laterSourceWorld Values Survey and EVS, against 33 countries and territoriesEstimandcount of countries where the moral loading is +0.30 or higherWeightsnone (count)Populationcountries with an effective sample of 300 or morePeriodfieldwork 2005 or laterSourceWorld Values Survey and EVS for the moral axis and 33 countries and territoriesEstimandcount of countries where the religious loading is +0.30 or higherWeightsnone (count)Populationcountries with an effective sample of 300 or morePeriodfieldwork 2005 or laterSourceWorld Values Survey and EVS for religion. The axes rest on different numbers of items, so those counts compare measures as well as attitudes. The economic loading is largest in Sweden, at +0.59 (95% CI 0.57 to 0.61)+0.59 correlation coefficient (loading), from −1 to +1Estimandweighted correlation of left-right with the economic index (higher = economic right)Interval95% CI 0.57 to 0.61n4,213Weightsweight (S017) within the countryPopulationrespondents in Sweden with a left-right answerPeriodfieldwork 2006, 2009, 2011, 2017, waves pooledSourceWorld Values Survey and EVS, and Iceland, New Zealand, Denmark, Norway and Finland follow with intervals that overlap one another.

    Figure 4

    Most country loadings are small and positive, and the largest are economic

    Weighted correlation between left-right self-placement (1 to 10, 10 = right) and the axis, within country; 95% intervals; fieldwork 2005-2023

    The economic loadings reach furthest to the right

    One dot per country in each row; the vertical mark in each row is the median across countries

    • Interval includes zero
    • Interval above zero
    • Interval below zero

    Each row is an axis and each dot is a country, colored by whether its 95% interval lies above zero, includes zero or lies below zero. The dashed line is zero.

    Show data
    Data for Most country loadings are small and positive, and the largest are economic, All three axes
    CountryAxisLoadingInterval lowInterval highRespondentsInterval relative to zeroRegion
    AlbaniaEconomic+0.01−0.04+0.062,211Interval includes zeroEurope & Central Asia
    AlgeriaEconomic−0.08−0.16+0.01532Interval includes zeroMiddle East & North Africa
    AndorraEconomic+0.22+0.17+0.261,822Interval above zeroEurope & Central Asia
    ArgentinaEconomic+0.18+0.14+0.232,293Interval above zeroLatin America & Caribbean
    ArmeniaEconomic+0.05+0.02+0.093,788Interval above zeroEurope & Central Asia
    AustraliaEconomic+0.33+0.30+0.364,426Interval above zeroEast Asia & Pacific
    AustriaEconomic+0.21+0.17+0.252,705Interval above zeroEurope & Central Asia
    AzerbaijanEconomic−0.06−0.10−0.012,158Interval below zeroEurope & Central Asia
    BangladeshEconomic−0.01−0.06+0.051,200Interval includes zeroSouth Asia
    BelarusEconomic+0.02−0.02+0.053,213Interval includes zeroEurope & Central Asia
    BelgiumEconomic+0.25+0.20+0.301,414Interval above zeroEurope & Central Asia
    BoliviaEconomic+0.040.00+0.091,778Interval includes zeroLatin America & Caribbean
    Bosnia HerzegovinaEconomic−0.03−0.07+0.022,298Interval includes zeroEurope & Central Asia
    BrazilEconomic+0.07+0.04+0.103,642Interval above zeroLatin America & Caribbean
    BulgariaEconomic+0.25+0.21+0.292,773Interval above zeroEurope & Central Asia
    Burkina FasoEconomic−0.02−0.08+0.041,058Interval includes zeroSub-Saharan Africa
    CanadaEconomic+0.29+0.26+0.325,629Interval above zeroNorth America
    ChileEconomic+0.26+0.21+0.312,103Interval above zeroLatin America & Caribbean
    ColombiaEconomic+0.04+0.01+0.075,016Interval above zeroLatin America & Caribbean
    CroatiaEconomic+0.02−0.03+0.072,352Interval includes zeroEurope & Central Asia
    CyprusEconomic0.00−0.04+0.043,266Interval includes zeroEurope & Central Asia
    CzechiaEconomic+0.37+0.35+0.403,991Interval above zeroEurope & Central Asia
    DenmarkEconomic+0.46+0.43+0.494,679Interval above zeroEurope & Central Asia
    EcuadorEconomic0.00−0.04+0.042,238Interval includes zeroLatin America & Caribbean
    EgyptEconomic+0.18+0.15+0.224,238Interval above zeroMiddle East & North Africa
    EstoniaEconomic+0.26+0.23+0.293,302Interval above zeroEurope & Central Asia
    EthiopiaEconomic+0.23+0.19+0.281,917Interval above zeroSub-Saharan Africa
    FinlandEconomic+0.44+0.40+0.472,932Interval above zeroEurope & Central Asia
    FranceEconomic+0.34+0.31+0.373,827Interval above zeroEurope & Central Asia
    GeorgiaEconomic+0.030.00+0.074,227Interval above zeroEurope & Central Asia
    GermanyEconomic+0.19+0.17+0.228,683Interval above zeroEurope & Central Asia
    GhanaEconomic+0.25+0.21+0.302,333Interval above zeroSub-Saharan Africa
    GreeceEconomic+0.19+0.15+0.242,184Interval above zeroEurope & Central Asia
    GuatemalaEconomic+0.04−0.01+0.101,213Interval includes zeroLatin America & Caribbean
    HaitiEconomic−0.03−0.07+0.021,944Interval includes zeroLatin America & Caribbean
    Hong Kong SAREconomic−0.01−0.05+0.023,946Interval includes zeroEast Asia & Pacific
    HungaryEconomic0.00−0.04+0.033,447Interval includes zeroEurope & Central Asia
    IcelandEconomic+0.50+0.46+0.532,307Interval above zeroEurope & Central Asia
    IndiaEconomic+0.06+0.03+0.095,436Interval above zeroSouth Asia
    IndonesiaEconomic+0.040.00+0.074,061Interval includes zeroEast Asia & Pacific
    IraqEconomic+0.01−0.06+0.07975Interval includes zeroMiddle East & North Africa
    IrelandEconomic+0.07−0.01+0.15687Interval includes zeroEurope & Central Asia
    ItalyEconomic+0.24+0.21+0.273,509Interval above zeroEurope & Central Asia
    JapanEconomic+0.10+0.07+0.143,446Interval above zeroEast Asia & Pacific
    KazakhstanEconomic+0.10+0.05+0.151,500Interval above zeroEurope & Central Asia
    KenyaEconomic−0.10−0.15−0.041,161Interval below zeroSub-Saharan Africa
    KosovoEconomic+0.03−0.05+0.11654Interval includes zeroEurope & Central Asia
    KyrgyzstanEconomic+0.11+0.06+0.161,461Interval above zeroEurope & Central Asia
    LatviaEconomic+0.07+0.02+0.112,056Interval above zeroEurope & Central Asia
    LebanonEconomic−0.03−0.10+0.04834Interval includes zeroMiddle East & North Africa
    LibyaEconomic−0.01−0.06+0.042,447Interval includes zeroMiddle East & North Africa
    LithuaniaEconomic+0.10+0.05+0.151,871Interval above zeroEurope & Central Asia
    LuxembourgEconomic+0.16+0.10+0.221,257Interval above zeroEurope & Central Asia
    Macau SAREconomic−0.01−0.07+0.05995Interval includes zeroEast Asia & Pacific
    MalaysiaEconomic−0.03−0.07+0.012,613Interval includes zeroEast Asia & Pacific
    MaldivesEconomic+0.02−0.04+0.081,023Interval includes zeroSouth Asia
    MaliEconomic+0.02−0.04+0.081,147Interval includes zeroSub-Saharan Africa
    MaltaEconomic+0.26+0.19+0.33750Interval above zeroMiddle East & North Africa
    MexicoEconomic+0.02−0.01+0.044,752Interval includes zeroLatin America & Caribbean
    MoldovaEconomic+0.10+0.05+0.151,651Interval above zeroEurope & Central Asia
    MongoliaEconomic−0.16−0.20−0.101,613Interval below zeroEast Asia & Pacific
    MontenegroEconomic−0.04−0.10+0.021,250Interval includes zeroEurope & Central Asia
    MoroccoEconomic+0.09+0.05+0.141,909Interval above zeroMiddle East & North Africa
    NetherlandsEconomic+0.39+0.37+0.417,741Interval above zeroEurope & Central Asia
    New ZealandEconomic+0.46+0.42+0.501,372Interval above zeroEast Asia & Pacific
    NicaraguaEconomic−0.07−0.130.00871Interval below zeroLatin America & Caribbean
    NigeriaEconomic0.00−0.04+0.042,927Interval includes zeroSub-Saharan Africa
    North MacedoniaEconomic+0.02−0.03+0.071,759Interval includes zeroEurope & Central Asia
    Northern IrelandEconomic+0.30+0.22+0.38760Interval above zeroEurope & Central Asia
    NorwayEconomic+0.45+0.42+0.483,148Interval above zeroEurope & Central Asia
    PakistanEconomic+0.15+0.09+0.201,200Interval above zeroSouth Asia
    PalestineEconomic−0.03−0.10+0.05727Interval includes zeroMiddle East & North Africa
    PeruEconomic+0.07+0.03+0.103,280Interval above zeroLatin America & Caribbean
    PhilippinesEconomic+0.040.00+0.092,389Interval above zeroEast Asia & Pacific
    PolandEconomic0.00−0.03+0.033,718Interval includes zeroEurope & Central Asia
    PortugalEconomic+0.12+0.06+0.171,895Interval above zeroEurope & Central Asia
    Puerto RicoEconomic+0.11+0.05+0.171,047Interval above zeroLatin America & Caribbean
    RomaniaEconomic+0.11+0.08+0.144,705Interval above zeroEurope & Central Asia
    RussiaEconomic+0.06+0.03+0.104,564Interval above zeroEurope & Central Asia
    RwandaEconomic+0.11+0.07+0.152,552Interval above zeroSub-Saharan Africa
    SerbiaEconomic+0.01−0.03+0.043,746Interval includes zeroEurope & Central Asia
    SingaporeEconomic−0.04−0.090.001,743Interval includes zeroEast Asia & Pacific
    SlovakiaEconomic+0.12+0.09+0.163,336Interval above zeroEurope & Central Asia
    SloveniaEconomic−0.03−0.070.003,138Interval includes zeroEurope & Central Asia
    South AfricaEconomic+0.05+0.01+0.085,541Interval above zeroSub-Saharan Africa
    South KoreaEconomic+0.02−0.02+0.073,637Interval includes zeroEast Asia & Pacific
    SpainEconomic+0.20+0.17+0.234,200Interval above zeroEurope & Central Asia
    SwedenEconomic+0.59+0.57+0.614,213Interval above zeroEurope & Central Asia
    SwitzerlandEconomic+0.34+0.32+0.375,154Interval above zeroEurope & Central Asia
    Taiwan ROCEconomic−0.09−0.13−0.063,554Interval below zeroNot classified
    TajikistanEconomic+0.11+0.05+0.171,200Interval above zeroEurope & Central Asia
    ThailandEconomic+0.040.00+0.073,758Interval above zeroEast Asia & Pacific
    Trinidad and TobagoEconomic+0.04−0.01+0.101,211Interval includes zeroLatin America & Caribbean
    TunisiaEconomic−0.03−0.08+0.021,682Interval includes zeroMiddle East & North Africa
    TurkeyEconomic+0.08+0.05+0.106,325Interval above zeroEurope & Central Asia
    UkraineEconomic+0.08+0.03+0.124,667Interval above zeroEurope & Central Asia
    United KingdomEconomic+0.36+0.34+0.396,124Interval above zeroEurope & Central Asia
    United StatesEconomic+0.41+0.38+0.445,866Interval above zeroNorth America
    UruguayEconomic+0.21+0.17+0.252,571Interval above zeroLatin America & Caribbean
    UzbekistanEconomic−0.13−0.21−0.05591Interval below zeroEurope & Central Asia
    VenezuelaEconomic+0.24+0.19+0.301,190Interval above zeroLatin America & Caribbean
    VietnamEconomic+0.10+0.05+0.161,376Interval above zeroEast Asia & Pacific
    ZambiaEconomic+0.08+0.01+0.14948Interval above zeroSub-Saharan Africa
    ZimbabweEconomic−0.08−0.13−0.042,627Interval below zeroSub-Saharan Africa
    AlbaniaMoral+0.02−0.03+0.062,220Interval includes zeroEurope & Central Asia
    AlgeriaMoral−0.09−0.170.00521Interval below zeroMiddle East & North Africa
    AndorraMoral+0.21+0.16+0.251,821Interval above zeroEurope & Central Asia
    ArgentinaMoral+0.16+0.12+0.212,240Interval above zeroLatin America & Caribbean
    ArmeniaMoral+0.03−0.01+0.063,780Interval includes zeroEurope & Central Asia
    AustraliaMoral+0.22+0.18+0.254,430Interval above zeroEast Asia & Pacific
    AustriaMoral+0.19+0.15+0.232,681Interval above zeroEurope & Central Asia
    AzerbaijanMoral−0.03−0.08+0.022,138Interval includes zeroEurope & Central Asia
    BangladeshMoral+0.17+0.11+0.221,200Interval above zeroSouth Asia
    BelarusMoral−0.01−0.05+0.023,202Interval includes zeroEurope & Central Asia
    BelgiumMoral+0.08+0.02+0.131,419Interval above zeroEurope & Central Asia
    BoliviaMoral0.00−0.05+0.051,780Interval includes zeroLatin America & Caribbean
    Bosnia HerzegovinaMoral+0.13+0.08+0.172,285Interval above zeroEurope & Central Asia
    BrazilMoral+0.09+0.06+0.123,624Interval above zeroLatin America & Caribbean
    BulgariaMoral−0.08−0.12−0.042,709Interval below zeroEurope & Central Asia
    Burkina FasoMoral−0.09−0.15−0.031,084Interval below zeroSub-Saharan Africa
    CanadaMoral+0.29+0.26+0.325,604Interval above zeroNorth America
    ChileMoral+0.14+0.08+0.192,077Interval above zeroLatin America & Caribbean
    ColombiaMoral+0.14+0.11+0.165,015Interval above zeroLatin America & Caribbean
    CroatiaMoral+0.33+0.29+0.372,358Interval above zeroEurope & Central Asia
    CyprusMoral+0.09+0.05+0.133,262Interval above zeroEurope & Central Asia
    CzechiaMoral−0.11−0.14−0.073,909Interval below zeroEurope & Central Asia
    DenmarkMoral+0.12+0.09+0.164,701Interval above zeroEurope & Central Asia
    EcuadorMoral−0.04−0.080.002,235Interval includes zeroLatin America & Caribbean
    EstoniaMoral−0.03−0.07+0.013,240Interval includes zeroEurope & Central Asia
    EthiopiaMoral−0.11−0.15−0.061,902Interval below zeroSub-Saharan Africa
    FinlandMoral+0.16+0.12+0.202,910Interval above zeroEurope & Central Asia
    FranceMoral+0.19+0.15+0.223,818Interval above zeroEurope & Central Asia
    GeorgiaMoral+0.06+0.03+0.094,271Interval above zeroEurope & Central Asia
    GermanyMoral+0.16+0.13+0.188,668Interval above zeroEurope & Central Asia
    GhanaMoral−0.08−0.13−0.042,324Interval below zeroSub-Saharan Africa
    GreeceMoral+0.29+0.25+0.332,188Interval above zeroEurope & Central Asia
    GuatemalaMoral+0.06+0.01+0.121,213Interval above zeroLatin America & Caribbean
    HaitiMoral+0.02−0.03+0.061,932Interval includes zeroLatin America & Caribbean
    Hong Kong SARMoral−0.06−0.09−0.023,955Interval below zeroEast Asia & Pacific
    HungaryMoral+0.09+0.06+0.123,448Interval above zeroEurope & Central Asia
    IcelandMoral+0.16+0.11+0.202,306Interval above zeroEurope & Central Asia
    IndiaMoral0.00−0.02+0.035,618Interval includes zeroSouth Asia
    IndonesiaMoral−0.02−0.06+0.024,086Interval includes zeroEast Asia & Pacific
    IraqMoral+0.13+0.07+0.19968Interval above zeroMiddle East & North Africa
    IrelandMoral+0.22+0.14+0.30665Interval above zeroEurope & Central Asia
    ItalyMoral+0.17+0.14+0.213,452Interval above zeroEurope & Central Asia
    JapanMoral+0.14+0.11+0.173,354Interval above zeroEast Asia & Pacific
    KazakhstanMoral+0.04−0.01+0.091,500Interval includes zeroEurope & Central Asia
    KenyaMoral+0.10+0.05+0.161,127Interval above zeroSub-Saharan Africa
    KosovoMoral−0.02−0.10+0.06655Interval includes zeroEurope & Central Asia
    KyrgyzstanMoral+0.18+0.13+0.231,459Interval above zeroEurope & Central Asia
    LatviaMoral+0.02−0.03+0.062,028Interval includes zeroEurope & Central Asia
    LebanonMoral0.00−0.07+0.07837Interval includes zeroMiddle East & North Africa
    LibyaMoral0.00−0.05+0.042,514Interval includes zeroMiddle East & North Africa
    LithuaniaMoral+0.04−0.01+0.081,829Interval includes zeroEurope & Central Asia
    LuxembourgMoral+0.23+0.17+0.291,254Interval above zeroEurope & Central Asia
    Macau SARMoral+0.02−0.04+0.08997Interval includes zeroEast Asia & Pacific
    MalaysiaMoral+0.09+0.05+0.122,613Interval above zeroEast Asia & Pacific
    MaldivesMoral+0.17+0.11+0.231,023Interval above zeroSouth Asia
    MaliMoral+0.02−0.04+0.081,081Interval includes zeroSub-Saharan Africa
    MaltaMoral+0.16+0.09+0.24751Interval above zeroMiddle East & North Africa
    MexicoMoral+0.06+0.03+0.084,734Interval above zeroLatin America & Caribbean
    MoldovaMoral−0.02−0.07+0.031,638Interval includes zeroEurope & Central Asia
    MongoliaMoral+0.01−0.04+0.061,613Interval includes zeroEast Asia & Pacific
    MontenegroMoral+0.09+0.03+0.151,250Interval above zeroEurope & Central Asia
    MoroccoMoral+0.03−0.01+0.081,904Interval includes zeroMiddle East & North Africa
    NetherlandsMoral+0.16+0.13+0.187,801Interval above zeroEurope & Central Asia
    New ZealandMoral+0.19+0.14+0.241,352Interval above zeroEast Asia & Pacific
    NicaraguaMoral−0.06−0.12+0.01871Interval includes zeroLatin America & Caribbean
    NigeriaMoral0.00−0.04+0.052,928Interval includes zeroSub-Saharan Africa
    North MacedoniaMoral+0.07+0.02+0.121,763Interval above zeroEurope & Central Asia
    Northern IrelandMoral+0.25+0.17+0.33749Interval above zeroEurope & Central Asia
    NorwayMoral+0.12+0.09+0.163,142Interval above zeroEurope & Central Asia
    PakistanMoral+0.15+0.09+0.211,200Interval above zeroSouth Asia
    PalestineMoral+0.09+0.02+0.16725Interval above zeroMiddle East & North Africa
    PeruMoral−0.02−0.06+0.022,183Interval includes zeroLatin America & Caribbean
    PhilippinesMoral0.00−0.04+0.052,389Interval includes zeroEast Asia & Pacific
    PolandMoral+0.28+0.25+0.313,646Interval above zeroEurope & Central Asia
    PortugalMoral+0.04−0.01+0.101,915Interval includes zeroEurope & Central Asia
    Puerto RicoMoral+0.11+0.05+0.171,049Interval above zeroLatin America & Caribbean
    RomaniaMoral−0.06−0.09−0.034,615Interval below zeroEurope & Central Asia
    RussiaMoral−0.01−0.04+0.034,507Interval includes zeroEurope & Central Asia
    RwandaMoral0.00−0.04+0.032,554Interval includes zeroSub-Saharan Africa
    SerbiaMoral+0.07+0.03+0.113,654Interval above zeroEurope & Central Asia
    SingaporeMoral+0.18+0.13+0.221,737Interval above zeroEast Asia & Pacific
    SlovakiaMoral−0.04−0.080.003,260Interval below zeroEurope & Central Asia
    SloveniaMoral+0.30+0.26+0.333,127Interval above zeroEurope & Central Asia
    South AfricaMoral−0.07−0.10−0.035,512Interval below zeroSub-Saharan Africa
    South KoreaMoral+0.20+0.16+0.243,637Interval above zeroEast Asia & Pacific
    SpainMoral+0.32+0.30+0.354,220Interval above zeroEurope & Central Asia
    SwedenMoral+0.05+0.02+0.084,155Interval above zeroEurope & Central Asia
    SwitzerlandMoral+0.20+0.17+0.235,159Interval above zeroEurope & Central Asia
    Taiwan ROCMoral+0.12+0.08+0.153,536Interval above zeroNot classified
    TajikistanMoral−0.03−0.09+0.031,200Interval includes zeroEurope & Central Asia
    ThailandMoral−0.04−0.07−0.013,751Interval below zeroEast Asia & Pacific
    Trinidad and TobagoMoral−0.02−0.07+0.041,206Interval includes zeroLatin America & Caribbean
    TunisiaMoral+0.09+0.04+0.131,696Interval above zeroMiddle East & North Africa
    TurkeyMoral+0.19+0.16+0.216,427Interval above zeroEurope & Central Asia
    UkraineMoral+0.01−0.03+0.064,550Interval includes zeroEurope & Central Asia
    United KingdomMoral+0.17+0.14+0.206,116Interval above zeroEurope & Central Asia
    United StatesMoral+0.37+0.34+0.405,823Interval above zeroNorth America
    UruguayMoral+0.19+0.15+0.232,600Interval above zeroLatin America & Caribbean
    UzbekistanMoral−0.01−0.09+0.07615Interval includes zeroEurope & Central Asia
    VenezuelaMoral+0.02−0.03+0.081,190Interval includes zeroLatin America & Caribbean
    VietnamMoral+0.13+0.08+0.181,381Interval above zeroEast Asia & Pacific
    ZambiaMoral+0.03−0.03+0.10945Interval includes zeroSub-Saharan Africa
    ZimbabweMoral−0.02−0.07+0.022,626Interval includes zeroSub-Saharan Africa
    AlbaniaReligious+0.13+0.09+0.182,209Interval above zeroEurope & Central Asia
    AlgeriaReligious−0.02−0.11+0.06536Interval includes zeroMiddle East & North Africa
    AndorraReligious+0.22+0.17+0.261,813Interval above zeroEurope & Central Asia
    ArgentinaReligious+0.22+0.18+0.262,326Interval above zeroLatin America & Caribbean
    ArmeniaReligious+0.040.00+0.083,758Interval above zeroEurope & Central Asia
    AustraliaReligious+0.20+0.16+0.234,456Interval above zeroEast Asia & Pacific
    AustriaReligious+0.13+0.09+0.172,710Interval above zeroEurope & Central Asia
    AzerbaijanReligious+0.040.00+0.092,152Interval includes zeroEurope & Central Asia
    BangladeshReligious+0.01−0.05+0.061,200Interval includes zeroSouth Asia
    BelarusReligious+0.07+0.04+0.113,186Interval above zeroEurope & Central Asia
    BelgiumReligious+0.12+0.07+0.171,421Interval above zeroEurope & Central Asia
    BoliviaReligious+0.05+0.01+0.101,803Interval above zeroLatin America & Caribbean
    Bosnia HerzegovinaReligious+0.19+0.15+0.232,269Interval above zeroEurope & Central Asia
    BrazilReligious+0.09+0.06+0.123,673Interval above zeroLatin America & Caribbean
    BulgariaReligious+0.05+0.01+0.092,670Interval above zeroEurope & Central Asia
    Burkina FasoReligious−0.04−0.09+0.021,109Interval includes zeroSub-Saharan Africa
    CanadaReligious+0.25+0.22+0.285,628Interval above zeroNorth America
    ChileReligious+0.09+0.04+0.152,085Interval above zeroLatin America & Caribbean
    ColombiaReligious+0.12+0.09+0.145,005Interval above zeroLatin America & Caribbean
    CroatiaReligious+0.36+0.32+0.402,354Interval above zeroEurope & Central Asia
    CyprusReligious+0.07+0.04+0.113,279Interval above zeroEurope & Central Asia
    CzechiaReligious+0.01−0.02+0.053,856Interval includes zeroEurope & Central Asia
    DenmarkReligious+0.06+0.03+0.104,678Interval above zeroEurope & Central Asia
    EcuadorReligious+0.05+0.01+0.092,243Interval above zeroLatin America & Caribbean
    EgyptReligious0.00−0.04+0.042,721Interval includes zeroMiddle East & North Africa
    EstoniaReligious−0.06−0.10−0.033,216Interval below zeroEurope & Central Asia
    EthiopiaReligious+0.11+0.07+0.161,914Interval above zeroSub-Saharan Africa
    FinlandReligious+0.19+0.15+0.232,897Interval above zeroEurope & Central Asia
    FranceReligious+0.18+0.15+0.223,845Interval above zeroEurope & Central Asia
    GeorgiaReligious+0.05+0.02+0.084,283Interval above zeroEurope & Central Asia
    GermanyReligious+0.14+0.11+0.168,654Interval above zeroEurope & Central Asia
    GhanaReligious+0.03−0.02+0.072,330Interval includes zeroSub-Saharan Africa
    GreeceReligious+0.29+0.25+0.332,118Interval above zeroEurope & Central Asia
    GuatemalaReligious+0.060.00+0.111,211Interval above zeroLatin America & Caribbean
    HaitiReligious+0.01−0.03+0.051,929Interval includes zeroLatin America & Caribbean
    Hong Kong SARReligious+0.06+0.02+0.093,801Interval above zeroEast Asia & Pacific
    HungaryReligious+0.15+0.12+0.193,432Interval above zeroEurope & Central Asia
    IcelandReligious+0.13+0.08+0.172,299Interval above zeroEurope & Central Asia
    IndiaReligious+0.12+0.10+0.155,785Interval above zeroSouth Asia
    IndonesiaReligious+0.07+0.03+0.104,082Interval above zeroEast Asia & Pacific
    IraqReligious+0.07+0.01+0.13978Interval above zeroMiddle East & North Africa
    IrelandReligious+0.22+0.14+0.29682Interval above zeroEurope & Central Asia
    ItalyReligious+0.19+0.16+0.233,515Interval above zeroEurope & Central Asia
    JapanReligious+0.13+0.10+0.163,386Interval above zeroEast Asia & Pacific
    KazakhstanReligious+0.11+0.06+0.161,500Interval above zeroEurope & Central Asia
    KenyaReligious−0.04−0.10+0.021,160Interval includes zeroSub-Saharan Africa
    KosovoReligious−0.06−0.13+0.02650Interval includes zeroEurope & Central Asia
    KyrgyzstanReligious+0.18+0.13+0.231,458Interval above zeroEurope & Central Asia
    LatviaReligious+0.05+0.01+0.102,033Interval above zeroEurope & Central Asia
    LebanonReligious+0.11+0.04+0.17834Interval above zeroMiddle East & North Africa
    LibyaReligious+0.03−0.02+0.082,594Interval includes zeroMiddle East & North Africa
    LithuaniaReligious+0.12+0.07+0.161,812Interval above zeroEurope & Central Asia
    LuxembourgReligious+0.27+0.21+0.331,261Interval above zeroEurope & Central Asia
    Macau SARReligious+0.06−0.01+0.12996Interval includes zeroEast Asia & Pacific
    MalaysiaReligious+0.15+0.11+0.182,613Interval above zeroEast Asia & Pacific
    MaldivesReligious+0.09+0.03+0.151,023Interval above zeroSouth Asia
    MaliReligious+0.01−0.04+0.071,140Interval includes zeroSub-Saharan Africa
    MaltaReligious+0.07−0.01+0.15770Interval includes zeroMiddle East & North Africa
    MexicoReligious+0.10+0.07+0.134,781Interval above zeroLatin America & Caribbean
    MoldovaReligious+0.050.00+0.101,657Interval includes zeroEurope & Central Asia
    MongoliaReligious+0.20+0.15+0.251,611Interval above zeroEast Asia & Pacific
    MontenegroReligious+0.15+0.09+0.211,218Interval above zeroEurope & Central Asia
    MoroccoReligious+0.04−0.01+0.081,914Interval includes zeroMiddle East & North Africa
    NetherlandsReligious+0.13+0.10+0.157,785Interval above zeroEurope & Central Asia
    New ZealandReligious+0.13+0.08+0.181,361Interval above zeroEast Asia & Pacific
    NicaraguaReligious+0.02−0.05+0.08871Interval includes zeroLatin America & Caribbean
    NigeriaReligious+0.040.00+0.082,929Interval above zeroSub-Saharan Africa
    North MacedoniaReligious+0.09+0.04+0.141,729Interval above zeroEurope & Central Asia
    Northern IrelandReligious+0.16+0.08+0.24763Interval above zeroEurope & Central Asia
    NorwayReligious+0.09+0.06+0.133,144Interval above zeroEurope & Central Asia
    PakistanReligious+0.17+0.11+0.221,200Interval above zeroSouth Asia
    PalestineReligious+0.09+0.02+0.16728Interval above zeroMiddle East & North Africa
    PeruReligious+0.08+0.04+0.113,339Interval above zeroLatin America & Caribbean
    PhilippinesReligious+0.07+0.03+0.122,388Interval above zeroEast Asia & Pacific
    PolandReligious+0.28+0.25+0.313,703Interval above zeroEurope & Central Asia
    PortugalReligious+0.15+0.09+0.201,954Interval above zeroEurope & Central Asia
    Puerto RicoReligious+0.03−0.03+0.091,042Interval includes zeroLatin America & Caribbean
    RomaniaReligious+0.01−0.02+0.044,728Interval includes zeroEurope & Central Asia
    RussiaReligious+0.11+0.07+0.144,411Interval above zeroEurope & Central Asia
    RwandaReligious0.00−0.04+0.042,554Interval includes zeroSub-Saharan Africa
    SerbiaReligious+0.08+0.04+0.123,715Interval above zeroEurope & Central Asia
    SingaporeReligious+0.11+0.06+0.151,740Interval above zeroEast Asia & Pacific
    SlovakiaReligious−0.01−0.05+0.033,257Interval includes zeroEurope & Central Asia
    SloveniaReligious+0.33+0.30+0.363,098Interval above zeroEurope & Central Asia
    South AfricaReligious+0.07+0.04+0.115,568Interval above zeroSub-Saharan Africa
    South KoreaReligious+0.06+0.02+0.103,631Interval above zeroEast Asia & Pacific
    SpainReligious+0.36+0.33+0.394,244Interval above zeroEurope & Central Asia
    SwedenReligious+0.03−0.01+0.064,155Interval includes zeroEurope & Central Asia
    SwitzerlandReligious+0.09+0.07+0.125,138Interval above zeroEurope & Central Asia
    Taiwan ROCReligious+0.02−0.02+0.053,561Interval includes zeroNot classified
    TajikistanReligious+0.27+0.22+0.321,200Interval above zeroEurope & Central Asia
    ThailandReligious+0.02−0.02+0.053,656Interval includes zeroEast Asia & Pacific
    Trinidad and TobagoReligious+0.02−0.04+0.081,210Interval includes zeroLatin America & Caribbean
    TunisiaReligious+0.11+0.07+0.161,681Interval above zeroMiddle East & North Africa
    TurkeyReligious+0.21+0.19+0.246,438Interval above zeroEurope & Central Asia
    UkraineReligious+0.10+0.06+0.154,601Interval above zeroEurope & Central Asia
    United KingdomReligious+0.12+0.09+0.156,155Interval above zeroEurope & Central Asia
    United StatesReligious+0.28+0.25+0.315,858Interval above zeroNorth America
    UruguayReligious+0.20+0.16+0.242,586Interval above zeroLatin America & Caribbean
    UzbekistanReligious+0.19+0.11+0.27615Interval above zeroEurope & Central Asia
    VenezuelaReligious−0.04−0.09+0.021,190Interval includes zeroLatin America & Caribbean
    VietnamReligious+0.09+0.03+0.141,373Interval above zeroEast Asia & Pacific
    ZambiaReligious−0.02−0.08+0.04946Interval includes zeroSub-Saharan Africa
    ZimbabweReligious−0.04−0.090.002,627Interval includes zeroSub-Saharan Africa
    The three rows have similar medians, and the economic row has the longest right-hand tail. The other tabs list every country with its interval, largest loading first. The three axes rest on different numbers of items, so their sizes are not directly comparable.Note: Intervals treat the weighted sample as a simple random sample and ignore clustering and stratification in the sample design, which can raise or lower the variance.Source: World Values Survey and European Values Study, fieldwork 2005-2023; weighted (weight, S017 within each country); countries with an effective sample of 300 or more

    The economic loading depends on the items

    The four economic items agree only weakly: the median across countries of their average pairwise correlation is +0.06+0.06 correlation coefficient (loading), from −1 to +1Estimandmedian across countries of the mean pairwise correlation among the four economic items after orientationWeightsweight (S017) within the countryPopulationrespondents within a country, median across countriesPeriodfieldwork 2005 or laterSourceWorld Values Survey and EVS, against +0.48+0.48 correlation coefficient (loading), from −1 to +1Estimandmedian across countries of the mean pairwise correlation among the three moral items after orientationWeightsweight (S017) within the countryPopulationrespondents within a country, median across countriesPeriodfieldwork 2005 or laterSourceWorld Values Survey and EVS for the three moral items. The choice of items therefore matters, and Figure 6 shows by how much: the median economic loading runs from +0.02+0.02 correlation coefficient (loading), from −1 to +1Estimandmedian across countries of the loading on competition alone (bootstrap over countries)Interval95% CI −0.01 to 0.03n104Weightsweight (S017) within each country; every country counted once across countriesPopulationcountries and territories with an effective sample of 300 or morePeriodfieldwork 2005 or laterSourceWorld Values Survey and EVS to +0.12+0.12 correlation coefficient (loading), from −1 to +1Estimandmedian across countries of the loading on income differences and government responsibility (bootstrap over countries)Interval95% CI 0.08 to 0.12n104Weightsweight (S017) within each country; every country counted once across countriesPopulationcountries and territories with an effective sample of 300 or morePeriodfieldwork 2005 or laterSourceWorld Values Survey and EVS across definitions, and the four-item index used here has +0.07 (95% CI 0.04 to 0.10)+0.07 correlation coefficient (loading), from −1 to +1Estimandmedian across countries of the economic loading (bootstrap over countries)Interval95% CI 0.04 to 0.10n104Weightsweight (S017) within each country; every country counted once across countriesPopulationcountries with an effective sample of 300 or morePeriodfieldwork 2005 or laterSourceWorld Values Survey and EVS.

    The economic axis has no single agreed measure. This chapter averages the four economic items on the ten-point agreement format in the WVS and EVS, listed in Figure 5. Which end of each question counts as economic right is fixed by the wording of the answer scale, not by how the item correlates with left-right.

    Figure 5

    The right-wing end of every item is fixed in advance from the wording of its answer scale

    Items used for the economic, moral and religious axes in the World Values Survey and EVS, with the answer that counts as right

    AxisItemAnswer that counts as right
    EconomicIncome differences (E035)We need larger income differences as incentives
    EconomicGovernment responsibility (E037)People should take more responsibility
    EconomicState ownership of business (E036)Private ownership of business should be increased
    EconomicCompetition (E039)Competition is good
    MoralHomosexuality (F118)Never justifiable
    MoralAbortion (F120)Never justifiable
    MoralDivorce (F121)Never justifiable
    ReligiousImportance of God (F063)Very important
    Show data
    Data for The right-wing end of every item is fixed in advance from the wording of its answer scale
    AxisItemSurvey codeLow end of the scaleHigh end of the scaleRight-wing poleAnswer that counts as right
    EconomicIncome differences (E035)E035Incomes should be made more equalWe need larger income differences as incentivesHigh endWe need larger income differences as incentives
    EconomicGovernment responsibility (E037)E037People should take more responsibilityThe government should take more responsibilityLow endPeople should take more responsibility
    EconomicState ownership of business (E036)E036Private ownership of business should be increasedGovernment ownership of business should be increasedLow endPrivate ownership of business should be increased
    EconomicCompetition (E039)E039Competition is goodCompetition is harmfulLow endCompetition is good
    MoralHomosexuality (F118)F118Never justifiableAlways justifiableLow endNever justifiable
    MoralAbortion (F120)F120Never justifiableAlways justifiableLow endNever justifiable
    MoralDivorce (F121)F121Never justifiableAlways justifiableLow endNever justifiable
    ReligiousImportance of God (F063)F063Not at all importantVery importantHigh endVery important
    Government responsibility, state ownership, competition and all three moral items count the low end of the scale as the right-wing answer, and income differences and the importance of God count the high end. The economic index averages the four economic items, the moral index averages the three moral items and the religious axis is the importance of God alone. The direction comes from the scale labels in the survey dictionary, not from the correlation with left-right.Source: World Values Survey and European Values Study cleaned dictionary, fieldwork 2005-2023; item wording and coding, no estimates or weights

    Two narrower definitions are possible: the items on income differences and government responsibility, and the items on government responsibility, state ownership and competition. The two definitions share the government responsibility item, which raises the correlation between their loadings across countries to +0.80 (95% CI 0.72 to 0.86)+0.80 correlation coefficient (loading), from −1 to +1EstimandPearson correlation across countries between the loadings on the two-item and three-item definitions (Fisher z interval)Interval95% CI 0.72 to 0.86n104Weightsweight (S017) within each country; every country counted once across countriesPopulationcountries and territories with an effective sample of 300 or morePeriodfieldwork 2005 or laterSourceWorld Values Survey and EVS. Items with nothing in common agree less across countries: the loadings on income differences and on state ownership correlate at +0.53 (95% CI 0.37 to 0.65)+0.53 correlation coefficient (loading), from −1 to +1EstimandPearson correlation across countries between the loadings on income differences and state ownership of business alone (Fisher z interval)Interval95% CI 0.37 to 0.65n104Weightsweight (S017) within each country; every country counted once across countriesPopulationcountries and territories with an effective sample of 300 or morePeriodfieldwork 2005 or laterSourceWorld Values Survey and EVS, and those on income differences and competition at +0.58 (95% CI 0.43 to 0.69)+0.58 correlation coefficient (loading), from −1 to +1EstimandPearson correlation across countries between the loadings on income differences and competition alone (Fisher z interval)Interval95% CI 0.43 to 0.69n104Weightsweight (S017) within each country; every country counted once across countriesPopulationcountries and territories with an effective sample of 300 or morePeriodfieldwork 2005 or laterSourceWorld Values Survey and EVS. The definitions therefore order the countries partly alike and disagree about the level. Figure 6 traces the disagreement to the items: the definitions that include income differences sit to the right of those built from state ownership or competition.

    Figure 6

    The median economic loading runs from +0.02 to +0.12 depending on the items

    Median across countries of the loading of left-right on each definition of the economic axis, the moral index and the importance of God, with 95% intervals from resampling the countries

    • Economic
    • Moral
    • Religious
    Show data
    Data for The median economic loading runs from +0.02 to +0.12 depending on the items
    DefinitionAxisMedian loadingInterval lowInterval highCountriesInterval above zeroInterval includes zeroInterval below zeroCorrelation with the chapter index
    Four-item index (used in this chapter)Economic+0.07+0.04+0.10104613671.00
    Two items: income differences and government responsibilityEconomic+0.12+0.08+0.12104742910.91
    Three items: government responsibility, state ownership, competitionEconomic+0.03−0.01+0.071044739180.97
    Income differences aloneEconomic+0.09+0.08+0.11104723020.84
    Government responsibility aloneEconomic+0.07+0.04+0.09104623660.86
    State ownership of business aloneEconomic+0.02−0.01+0.051044236260.86
    Competition aloneEconomic+0.02−0.01+0.031043542270.81
    Three-item index (used in this chapter)Moral+0.07+0.03+0.111035735111.00
    Importance of God (used in this chapter)Religious+0.09+0.07+0.11104752811.00
    The economic loading depends on which items define the index. Income differences alone give a median of +0.09 and government responsibility alone +0.07, while state ownership and competition alone give +0.02 and +0.02. The two-item set includes income differences; the three-item set (+0.03) instead includes state ownership and competition. Each dot is the median of the country loadings, and the table lists how many countries have an interval above, including or below zero.Note: Each country counts once, and the intervals come from resampling countries.Note: The variant that needs all four economic items answered and the three single moral items are in the estimates but not drawn.Source: World Values Survey and European Values Study, fieldwork 2005-2023; weighted (weight, S017 within each country); countries with an effective sample of 300 or more

    The moral items agree more closely than the economic ones, and singly, homosexuality, abortion and divorce give medians of +0.05+0.05 correlation coefficient (loading), from −1 to +1Estimandmedian across countries of the loading on homosexuality alone (bootstrap over countries)Interval95% CI 0.02 to 0.08n102Weightsweight (S017) within each country; every country counted once across countriesPopulationcountries and territories with an effective sample of 300 or morePeriodfieldwork 2005 or laterSourceWorld Values Survey and EVS, +0.06+0.06 correlation coefficient (loading), from −1 to +1Estimandmedian across countries of the loading on abortion alone (bootstrap over countries)Interval95% CI 0.03 to 0.08n103Weightsweight (S017) within each country; every country counted once across countriesPopulationcountries and territories with an effective sample of 300 or morePeriodfieldwork 2005 or laterSourceWorld Values Survey and EVS and +0.05+0.05 correlation coefficient (loading), from −1 to +1Estimandmedian across countries of the loading on divorce alone (bootstrap over countries)Interval95% CI 0.04 to 0.08n104Weightsweight (S017) within each country; every country counted once across countriesPopulationcountries and territories with an effective sample of 300 or morePeriodfieldwork 2005 or laterSourceWorld Values Survey and EVS, close to the median of +0.07+0.07 correlation coefficient (loading), from −1 to +1Estimandmedian across countries of the moral loading (bootstrap over countries)Interval95% CI 0.03 to 0.11n103Weightsweight (S017) within each country; every country counted once across countriesPopulationcountries with an effective sample of 300 or morePeriodfieldwork 2005 or laterSourceWorld Values Survey and EVS for the moral index. Claims in this chapter about the economic axis therefore rest on the comparison between countries and between definitions, and less on the size of any one loading.

    Loadings rise with human development

    Figure 7 plots each loading against the Human Development Index (HDI) and marks the median loading in each third of countries by HDI. The economic loading has a median of +0.04+0.04 correlation coefficient (loading), from −1 to +1Estimandmedian across countries of the economic loading (bootstrap over countries)Interval95% CI 0.00 to 0.07n34Weightsweight (S017) within each country; every country counted once across countriesPopulationthe lowest third by human development index of the countries with a usable loading and a human development indexPeriodfieldwork 2005 or laterSourceWorld Values Survey and EVS in the third of countries with the lowest HDI, +0.05+0.05 correlation coefficient (loading), from −1 to +1Estimandmedian across countries of the economic loading (bootstrap over countries)Interval95% CI 0.02 to 0.08n34Weightsweight (S017) within each country; every country counted once across countriesPopulationthe middle third by human development index of the countries with a usable loading and a human development indexPeriodfieldwork 2005 or laterSourceWorld Values Survey and EVS in the middle third and +0.26+0.26 correlation coefficient (loading), from −1 to +1Estimandmedian across countries of the economic loading (bootstrap over countries)Interval95% CI 0.19 to 0.34n32Weightsweight (S017) within each country; every country counted once across countriesPopulationthe highest third by human development index of the countries with a usable loading and a human development indexPeriodfieldwork 2005 or laterSourceWorld Values Survey and EVS in the highest third. The moral loading runs from 0.000.00 correlation coefficient (loading), from −1 to +1Estimandmedian across countries of the moral loading (bootstrap over countries)Interval95% CI −0.01 to 0.03n33Weightsweight (S017) within each country; every country counted once across countriesPopulationthe lowest third by human development index of the countries with a usable loading and a human development indexPeriodfieldwork 2005 or laterSourceWorld Values Survey and EVS to +0.04+0.04 correlation coefficient (loading), from −1 to +1Estimandmedian across countries of the moral loading (bootstrap over countries)Interval95% CI 0.01 to 0.07n34Weightsweight (S017) within each country; every country counted once across countriesPopulationthe middle third by human development index of the countries with a usable loading and a human development indexPeriodfieldwork 2005 or laterSourceWorld Values Survey and EVS to +0.18+0.18 correlation coefficient (loading), from −1 to +1Estimandmedian across countries of the moral loading (bootstrap over countries)Interval95% CI 0.16 to 0.20n32Weightsweight (S017) within each country; every country counted once across countriesPopulationthe highest third by human development index of the countries with a usable loading and a human development indexPeriodfieldwork 2005 or laterSourceWorld Values Survey and EVS, and the religious loading from +0.06+0.06 correlation coefficient (loading), from −1 to +1Estimandmedian across countries of the religious loading (bootstrap over countries)Interval95% CI 0.03 to 0.09n34Weightsweight (S017) within each country; every country counted once across countriesPopulationthe lowest third by human development index of the countries with a usable loading and a human development indexPeriodfieldwork 2005 or laterSourceWorld Values Survey and EVS to +0.10+0.10 correlation coefficient (loading), from −1 to +1Estimandmedian across countries of the religious loading (bootstrap over countries)Interval95% CI 0.05 to 0.12n34Weightsweight (S017) within each country; every country counted once across countriesPopulationthe middle third by human development index of the countries with a usable loading and a human development indexPeriodfieldwork 2005 or laterSourceWorld Values Survey and EVS to +0.13+0.13 correlation coefficient (loading), from −1 to +1Estimandmedian across countries of the religious loading (bootstrap over countries)Interval95% CI 0.11 to 0.19n32Weightsweight (S017) within each country; every country counted once across countriesPopulationthe highest third by human development index of the countries with a usable loading and a human development indexPeriodfieldwork 2005 or laterSourceWorld Values Survey and EVS. The economic and moral loadings therefore rise mostly in the top third, while the religious loading rises across all three. The correlation between HDI and the loading across countries is positive on all three axes and the three intervals overlap, and the caption of the figure gives the values.The HDI is a single value per country from the context file joined to the survey. The file does not record the year, and 44 countries and territoriesEstimandcount of countries left out of the HDI comparisonsWeightsnone (count)Populationcountries with a usable loading but no human development indexPeriodfieldwork 2005 or laterSourceWorld Values Survey and EVS countries with loadings (Kosovo, Macau, Puerto Rico and Taiwan) have no value.

    Figure 7

    Loadings on all three axes are higher in countries with higher human development

    Country loading of left-right self-placement (correlation) against the Human Development Index, countries with both, fieldwork 2005-2023

    Show data
    Data for Loadings on all three axes are higher in countries with higher human development
    axisconf_highconf_lowcountryestimatehdinregion
    economic0.059−0.036Albania0.0120.7852,211Europe & Central Asia
    economic0.006−0.163Algeria−0.0790.754532Middle East & North Africa
    economic0.2610.169Andorra0.2150.8581,822Europe & Central Asia
    economic0.2280.140Argentina0.1850.8252,293Latin America & Caribbean
    economic0.0910.017Armenia0.0540.7553,788Europe & Central Asia
    economic0.3630.299Australia0.3320.9394,426East Asia & Pacific
    economic0.2510.173Austria0.2120.9082,705Europe & Central Asia
    economic−0.009−0.102Azerbaijan−0.0560.7572,158Europe & Central Asia
    economic0.049−0.065Bangladesh−0.0080.6081,200South Asia
    economic0.051−0.020Belarus0.0150.8083,213Europe & Central Asia
    economic0.3000.198Belgium0.2500.9161,414Europe & Central Asia
    economic0.091−0.002Bolivia0.0450.6931,778Latin America & Caribbean
    economic0.019−0.069Bosnia Herzegovina−0.0250.7682,298Europe & Central Asia
    economic0.1040.039Brazil0.0710.7593,642Latin America & Caribbean
    economic0.2870.210Bulgaria0.2490.8132,773Europe & Central Asia
    economic0.043−0.078Burkina Faso−0.0170.4231,058Sub-Saharan Africa
    economic0.3190.260Canada0.2900.9265,629North America
    economic0.3080.206Chile0.2580.8432,103Latin America & Caribbean
    economic0.0680.012Colombia0.0400.7475,016Latin America & Caribbean
    economic0.066−0.025Croatia0.0210.8312,352Europe & Central Asia
    economic0.036−0.040Cyprus−0.0020.8693,266Europe & Central Asia
    economic0.4020.345Czechia0.3740.8883,991Europe & Central Asia
    economic0.4880.430Denmark0.4600.9294,679Europe & Central Asia
    economic0.043−0.040Ecuador0.0020.7522,238Latin America & Caribbean
    economic0.2200.147Egypt0.1840.6964,238Middle East & North Africa
    economic0.2940.228Estonia0.2610.8713,302Europe & Central Asia
    economic0.2760.192Ethiopia0.2340.4631,917Sub-Saharan Africa
    economic0.4700.405Finland0.4380.9202,932Europe & Central Asia
    economic0.3730.312France0.3430.9013,827Europe & Central Asia
    economic0.0670.002Georgia0.0340.7804,227Europe & Central Asia
    economic0.2170.168Germany0.1920.9368,683Europe & Central Asia
    economic0.2970.211Ghana0.2540.5922,333Sub-Saharan Africa
    economic0.2350.150Greece0.1930.8702,184Europe & Central Asia
    economic0.099−0.013Guatemala0.0430.6501,213Latin America & Caribbean
    economic0.018−0.071Haiti−0.0270.4981,944Latin America & Caribbean
    economic0.018−0.047Hong Kong SAR−0.0140.9333,946East Asia & Pacific
    economic0.030−0.039Hungary−0.0040.8383,447Europe & Central Asia
    economic0.5320.463Iceland0.4990.9352,307Europe & Central Asia
    economic0.0850.031India0.0580.6405,436South Asia
    economic0.073−0.002Indonesia0.0350.6944,061East Asia & Pacific
    economic0.069−0.057Iraq0.0060.685975Middle East & North Africa
    economic0.147−0.010Ireland0.0690.938687Europe & Central Asia
    economic0.2750.210Italy0.2420.8803,509Europe & Central Asia
    economic0.1360.070Japan0.1030.9093,446East Asia & Pacific
    economic0.1490.047Kazakhstan0.0980.8001,500Europe & Central Asia
    economic−0.039−0.153Kenya−0.0960.5901,161Sub-Saharan Africa
    economic0.1600.059Kyrgyzstan0.1100.6721,461Europe & Central Asia
    economic0.1140.025Latvia0.0690.8472,056Europe & Central Asia
    economic0.036−0.100Lebanon−0.0320.757834Middle East & North Africa
    economic0.042−0.059Libya−0.0080.7062,447Middle East & North Africa
    economic0.1470.054Lithuania0.1010.8581,871Europe & Central Asia
    economic0.2210.100Luxembourg0.1610.9041,257Europe & Central Asia
    economic0.007−0.070Malaysia−0.0320.8022,613East Asia & Pacific
    economic0.080−0.042Maldives0.0190.7171,023South Asia
    economic0.075−0.041Mali0.0170.4271,147Sub-Saharan Africa
    economic0.3300.187Malta0.2600.878750Middle East & North Africa
    economic0.045−0.012Mexico0.0160.7744,752Latin America & Caribbean
    economic0.1500.053Moldova0.1020.7001,651Europe & Central Asia
    economic−0.104−0.205Mongolia−0.1550.7411,613East Asia & Pacific
    economic0.017−0.102Montenegro−0.0430.8141,250Europe & Central Asia
    economic0.1390.050Morocco0.0950.6671,909Middle East & North Africa
    economic0.4130.373Netherlands0.3930.9317,741Europe & Central Asia
    economic0.5040.421New Zealand0.4640.9171,372East Asia & Pacific
    economic−0.001−0.134Nicaragua−0.0680.658871Latin America & Caribbean
    economic0.045−0.037Nigeria0.0040.5322,927Sub-Saharan Africa
    economic0.070−0.030North Macedonia0.0200.7571,759Europe & Central Asia
    economic0.3760.222Northern Ireland0.3010.922760Europe & Central Asia
    economic0.4760.419Norway0.4480.9533,148Europe & Central Asia
    economic0.2040.090Pakistan0.1480.5621,200South Asia
    economic0.045−0.100Palestine−0.0270.686727Middle East & North Africa
    economic0.1010.031Peru0.0660.7503,280Latin America & Caribbean
    economic0.0880.000Philippines0.0440.6992,389East Asia & Pacific
    economic0.033−0.034Poland0.0000.8653,718Europe & Central Asia
    economic0.1730.064Portugal0.1190.8471,895Europe & Central Asia
    economic0.1380.078Romania0.1080.8114,705Europe & Central Asia
    economic0.0970.031Russia0.0640.8164,564Europe & Central Asia
    economic0.1460.069Rwanda0.1080.5242,552Sub-Saharan Africa
    economic0.044−0.031Serbia0.0070.7873,746Europe & Central Asia
    economic0.003−0.093Singapore−0.0450.9321,743East Asia & Pacific
    economic0.1630.087Slovakia0.1250.8553,336Europe & Central Asia
    economic0.003−0.068Slovenia−0.0330.8963,138Europe & Central Asia
    economic0.0800.012South Africa0.0460.6995,541Sub-Saharan Africa
    economic0.065−0.016South Korea0.0240.9033,637East Asia & Pacific
    economic0.2250.166Spain0.1960.8914,200Europe & Central Asia
    economic0.6120.569Sweden0.5910.9334,213Europe & Central Asia
    economic0.3680.318Switzerland0.3430.9445,154Europe & Central Asia
    economic0.1650.054Tajikistan0.1100.6501,200Europe & Central Asia
    economic0.0700.005Thailand0.0370.7553,758East Asia & Pacific
    economic0.104−0.014Trinidad and Tobago0.0450.7841,211Latin America & Caribbean
    economic0.019−0.076Tunisia−0.0290.7351,682Middle East & North Africa
    economic0.1030.053Turkey0.0780.7916,325Europe & Central Asia
    economic0.1190.033Ukraine0.0760.7514,667Europe & Central Asia
    economic0.3900.338United Kingdom0.3640.9226,124Europe & Central Asia
    economic0.4370.385United States0.4110.9245,866North America
    economic0.2520.171Uruguay0.2120.8042,571Latin America & Caribbean
    economic−0.049−0.207Uzbekistan−0.1290.710591Europe & Central Asia
    economic0.2970.191Venezuela0.2450.7611,190Latin America & Caribbean
    economic0.1550.051Vietnam0.1030.6941,376East Asia & Pacific
    economic0.1400.014Zambia0.0770.588948Sub-Saharan Africa
    economic−0.036−0.126Zimbabwe−0.0810.5352,627Sub-Saharan Africa
    moral0.065−0.030Albania0.0180.7852,220Europe & Central Asia
    moral−0.003−0.173Algeria−0.0890.754521Middle East & North Africa
    moral0.2540.161Andorra0.2080.8581,821Europe & Central Asia
    moral0.2080.119Argentina0.1640.8252,240Latin America & Caribbean
    moral0.063−0.012Armenia0.0260.7553,780Europe & Central Asia
    moral0.2520.184Australia0.2180.9394,430East Asia & Pacific
    moral0.2260.146Austria0.1860.9082,681Europe & Central Asia
    moral0.016−0.078Azerbaijan−0.0310.7572,138Europe & Central Asia
    moral0.2230.113Bangladesh0.1680.6081,200South Asia
    moral0.022−0.048Belarus−0.0130.8083,202Europe & Central Asia
    moral0.1330.025Belgium0.0790.9161,419Europe & Central Asia
    moral0.047−0.046Bolivia0.0000.6931,780Latin America & Caribbean
    moral0.1680.082Bosnia Herzegovina0.1250.7682,285Europe & Central Asia
    moral0.1230.057Brazil0.0900.7593,624Latin America & Caribbean
    moral−0.036−0.119Bulgaria−0.0780.8132,709Europe & Central Asia
    moral−0.029−0.147Burkina Faso−0.0880.4231,084Sub-Saharan Africa
    moral0.3180.259Canada0.2890.9265,604North America
    moral0.1920.084Chile0.1380.8432,077Latin America & Caribbean
    moral0.1630.109Colombia0.1360.7475,015Latin America & Caribbean
    moral0.3740.293Croatia0.3340.8312,358Europe & Central Asia
    moral0.1280.052Cyprus0.0900.8693,262Europe & Central Asia
    moral−0.073−0.139Czechia−0.1060.8883,909Europe & Central Asia
    moral0.1600.088Denmark0.1240.9294,701Europe & Central Asia
    moral0.000−0.082Ecuador−0.0410.7522,235Latin America & Caribbean
    moral0.006−0.065Estonia−0.0300.8713,240Europe & Central Asia
    moral−0.065−0.153Ethiopia−0.1090.4631,902Sub-Saharan Africa
    moral0.1990.120Finland0.1600.9202,910Europe & Central Asia
    moral0.2200.153France0.1870.9013,818Europe & Central Asia
    moral0.0950.030Georgia0.0630.7804,271Europe & Central Asia
    moral0.1840.135Germany0.1590.9368,668Europe & Central Asia
    moral−0.039−0.130Ghana−0.0850.5922,324Sub-Saharan Africa
    moral0.3270.246Greece0.2870.8702,188Europe & Central Asia
    moral0.1180.006Guatemala0.0620.6501,213Latin America & Caribbean
    moral0.060−0.029Haiti0.0150.4981,932Latin America & Caribbean
    moral−0.023−0.088Hong Kong SAR−0.0560.9333,955East Asia & Pacific
    moral0.1240.056Hungary0.0900.8383,448Europe & Central Asia
    moral0.2000.110Iceland0.1550.9352,306Europe & Central Asia
    moral0.030−0.023India0.0030.6405,618South Asia
    moral0.017−0.058Indonesia−0.0200.6944,086East Asia & Pacific
    moral0.1940.070Iraq0.1320.685968Middle East & North Africa
    moral0.2950.143Ireland0.2210.938665Europe & Central Asia
    moral0.2080.141Italy0.1750.8803,452Europe & Central Asia
    moral0.1730.107Japan0.1400.9093,354East Asia & Pacific
    moral0.092−0.011Kazakhstan0.0410.8001,500Europe & Central Asia
    moral0.1610.045Kenya0.1030.5901,127Sub-Saharan Africa
    moral0.2250.126Kyrgyzstan0.1760.6721,459Europe & Central Asia
    moral0.065−0.025Latvia0.0200.8472,028Europe & Central Asia
    moral0.069−0.066Lebanon0.0020.757837Middle East & North Africa
    moral0.044−0.053Libya−0.0050.7062,514Middle East & North Africa
    moral0.085−0.010Lithuania0.0380.8581,829Europe & Central Asia
    moral0.2910.174Luxembourg0.2340.9041,254Europe & Central Asia
    moral0.1250.049Malaysia0.0870.8022,613East Asia & Pacific
    moral0.2260.107Maldives0.1670.7171,023South Asia
    moral0.078−0.041Mali0.0180.4271,081Sub-Saharan Africa
    moral0.2360.087Malta0.1620.878751Middle East & North Africa
    moral0.0840.027Mexico0.0560.7744,734Latin America & Caribbean
    moral0.027−0.071Moldova−0.0220.7001,638Europe & Central Asia
    moral0.061−0.041Mongolia0.0100.7411,613East Asia & Pacific
    moral0.1480.030Montenegro0.0890.8141,250Europe & Central Asia
    moral0.078−0.012Morocco0.0330.6671,904Middle East & North Africa
    moral0.1800.135Netherlands0.1580.9317,801Europe & Central Asia
    moral0.2400.138New Zealand0.1900.9171,352East Asia & Pacific
    moral0.009−0.123Nicaragua−0.0570.658871Latin America & Caribbean
    moral0.045−0.037Nigeria0.0040.5322,928Sub-Saharan Africa
    moral0.1240.025North Macedonia0.0750.7571,763Europe & Central Asia
    moral0.3310.171Northern Ireland0.2530.922749Europe & Central Asia
    moral0.1570.086Norway0.1220.9533,142Europe & Central Asia
    moral0.2060.092Pakistan0.1500.5621,200South Asia
    moral0.1600.015Palestine0.0880.686725Middle East & North Africa
    moral0.024−0.064Peru−0.0200.7502,183Latin America & Caribbean
    moral0.046−0.042Philippines0.0020.6992,389East Asia & Pacific
    moral0.3150.253Poland0.2840.8653,646Europe & Central Asia
    moral0.099−0.012Portugal0.0430.8471,915Europe & Central Asia
    moral−0.029−0.090Romania−0.0590.8114,615Europe & Central Asia
    moral0.026−0.041Russia−0.0070.8164,507Europe & Central Asia
    moral0.034−0.044Rwanda−0.0050.5242,554Sub-Saharan Africa
    moral0.1070.031Serbia0.0690.7873,654Europe & Central Asia
    moral0.2240.131Singapore0.1780.9321,737East Asia & Pacific
    moral−0.001−0.079Slovakia−0.0410.8553,260Europe & Central Asia
    moral0.3300.265Slovenia0.2980.8963,127Europe & Central Asia
    moral−0.033−0.100South Africa−0.0670.6995,512Sub-Saharan Africa
    moral0.2410.163South Korea0.2020.9033,637East Asia & Pacific
    moral0.3510.296Spain0.3230.8914,220Europe & Central Asia
    moral0.0820.016Sweden0.0490.9334,155Europe & Central Asia
    moral0.2270.173Switzerland0.2000.9445,159Europe & Central Asia
    moral0.026−0.087Tajikistan−0.0300.6501,200Europe & Central Asia
    moral−0.006−0.070Thailand−0.0380.7553,751East Asia & Pacific
    moral0.044−0.075Trinidad and Tobago−0.0150.7841,206Latin America & Caribbean
    moral0.1320.038Tunisia0.0850.7351,696Middle East & North Africa
    moral0.2120.164Turkey0.1880.7916,427Europe & Central Asia
    moral0.057−0.032Ukraine0.0120.7514,550Europe & Central Asia
    moral0.1990.140United Kingdom0.1700.9226,116Europe & Central Asia
    moral0.3970.342United States0.3700.9245,823North America
    moral0.2350.153Uruguay0.1940.8042,600Latin America & Caribbean
    moral0.073−0.085Uzbekistan−0.0060.710615Europe & Central Asia
    moral0.079−0.034Venezuela0.0220.7611,190Latin America & Caribbean
    moral0.1800.076Vietnam0.1280.6941,381East Asia & Pacific
    moral0.095−0.032Zambia0.0320.588945Sub-Saharan Africa
    moral0.022−0.069Zimbabwe−0.0240.5352,626Sub-Saharan Africa
    religious0.1800.087Albania0.1340.7852,209Europe & Central Asia
    religious0.062−0.107Algeria−0.0220.754536Middle East & North Africa
    religious0.2620.170Andorra0.2170.8581,813Europe & Central Asia
    religious0.2620.176Argentina0.2190.8252,326Latin America & Caribbean
    religious0.0750.001Armenia0.0380.7553,758Europe & Central Asia
    religious0.2300.161Australia0.1960.9394,456East Asia & Pacific
    religious0.1680.088Austria0.1280.9082,710Europe & Central Asia
    religious0.090−0.004Azerbaijan0.0430.7572,152Europe & Central Asia
    religious0.062−0.051Bangladesh0.0060.6081,200South Asia
    religious0.1070.036Belarus0.0720.8083,186Europe & Central Asia
    religious0.1740.067Belgium0.1210.9161,421Europe & Central Asia
    religious0.0980.006Bolivia0.0520.6931,803Latin America & Caribbean
    religious0.2350.150Bosnia Herzegovina0.1930.7682,269Europe & Central Asia
    religious0.1240.059Brazil0.0920.7593,673Latin America & Caribbean
    religious0.0930.009Bulgaria0.0510.8132,670Europe & Central Asia
    religious0.024−0.094Burkina Faso−0.0350.4231,109Sub-Saharan Africa
    religious0.2840.224Canada0.2540.9265,628North America
    religious0.1460.037Chile0.0920.8432,085Latin America & Caribbean
    religious0.1440.090Colombia0.1170.7475,005Latin America & Caribbean
    religious0.3990.320Croatia0.3600.8312,354Europe & Central Asia
    religious0.1120.036Cyprus0.0740.8693,279Europe & Central Asia
    religious0.048−0.020Czechia0.0140.8883,856Europe & Central Asia
    religious0.1000.027Denmark0.0640.9294,678Europe & Central Asia
    religious0.0880.005Ecuador0.0470.7522,243Latin America & Caribbean
    religious0.039−0.039Egypt0.0000.6962,721Middle East & North Africa
    religious−0.025−0.096Estonia−0.0610.8713,216Europe & Central Asia
    religious0.1570.069Ethiopia0.1130.4631,914Sub-Saharan Africa
    religious0.2270.148Finland0.1880.9202,897Europe & Central Asia
    religious0.2170.151France0.1840.9013,845Europe & Central Asia
    religious0.0830.018Georgia0.0510.7804,283Europe & Central Asia
    religious0.1630.113Germany0.1380.9368,654Europe & Central Asia
    religious0.073−0.019Ghana0.0270.5922,330Sub-Saharan Africa
    religious0.3290.247Greece0.2890.8702,118Europe & Central Asia
    religious0.1140.002Guatemala0.0590.6501,211Latin America & Caribbean
    religious0.054−0.035Haiti0.0100.4981,929Latin America & Caribbean
    religious0.0900.024Hong Kong SAR0.0570.9333,801East Asia & Pacific
    religious0.1870.119Hungary0.1530.8383,432Europe & Central Asia
    religious0.1740.083Iceland0.1290.9352,299Europe & Central Asia
    religious0.1500.099India0.1250.6405,785South Asia
    religious0.1030.029Indonesia0.0660.6944,082East Asia & Pacific
    religious0.1350.010Iraq0.0730.685978Middle East & North Africa
    religious0.2950.145Ireland0.2210.938682Europe & Central Asia
    religious0.2260.160Italy0.1930.8803,515Europe & Central Asia
    religious0.1630.097Japan0.1300.9093,386East Asia & Pacific
    religious0.1590.057Kazakhstan0.1080.8001,500Europe & Central Asia
    religious0.020−0.095Kenya−0.0380.5901,160Sub-Saharan Africa
    religious0.2330.134Kyrgyzstan0.1840.6721,458Europe & Central Asia
    religious0.0990.009Latvia0.0540.8472,033Europe & Central Asia
    religious0.1740.040Lebanon0.1080.757834Middle East & North Africa
    religious0.079−0.016Libya0.0320.7062,594Middle East & North Africa
    religious0.1620.068Lithuania0.1150.8581,812Europe & Central Asia
    religious0.3270.213Luxembourg0.2710.9041,261Europe & Central Asia
    religious0.1840.109Malaysia0.1470.8022,613East Asia & Pacific
    religious0.1520.031Maldives0.0920.7171,023South Asia
    religious0.072−0.044Mali0.0140.4271,140Sub-Saharan Africa
    religious0.145−0.006Malta0.0700.878770Middle East & North Africa
    religious0.1270.070Mexico0.0990.7744,781Latin America & Caribbean
    religious0.096−0.001Moldova0.0480.7001,657Europe & Central Asia
    religious0.2510.152Mongolia0.2020.7411,611East Asia & Pacific
    religious0.2050.087Montenegro0.1460.8141,218Europe & Central Asia
    religious0.084−0.006Morocco0.0390.6671,914Middle East & North Africa
    religious0.1480.102Netherlands0.1250.9317,785Europe & Central Asia
    religious0.1810.077New Zealand0.1300.9171,361East Asia & Pacific
    religious0.084−0.048Nicaragua0.0180.658871Latin America & Caribbean
    religious0.0850.003Nigeria0.0440.5322,929Sub-Saharan Africa
    religious0.1380.038North Macedonia0.0880.7571,729Europe & Central Asia
    religious0.2430.079Northern Ireland0.1620.922763Europe & Central Asia
    religious0.1290.058Norway0.0930.9533,144Europe & Central Asia
    religious0.2230.110Pakistan0.1670.5621,200South Asia
    religious0.1610.016Palestine0.0890.686728Middle East & North Africa
    religious0.1100.041Peru0.0760.7503,339Latin America & Caribbean
    religious0.1170.029Philippines0.0730.6992,388East Asia & Pacific
    religious0.3110.249Poland0.2800.8653,703Europe & Central Asia
    religious0.2010.093Portugal0.1470.8471,954Europe & Central Asia
    religious0.037−0.023Romania0.0070.8114,728Europe & Central Asia
    religious0.1420.074Russia0.1080.8164,411Europe & Central Asia
    religious0.036−0.042Rwanda−0.0030.5242,554Sub-Saharan Africa
    religious0.1170.041Serbia0.0790.7873,715Europe & Central Asia
    religious0.1530.058Singapore0.1060.9321,740East Asia & Pacific
    religious0.026−0.053Slovakia−0.0140.8553,257Europe & Central Asia
    religious0.3590.296Slovenia0.3280.8963,098Europe & Central Asia
    religious0.1080.041South Africa0.0750.6995,568Sub-Saharan Africa
    religious0.0990.018South Korea0.0590.9033,631East Asia & Pacific
    religious0.3860.333Spain0.3600.8914,244Europe & Central Asia
    religious0.059−0.007Sweden0.0260.9334,155Europe & Central Asia
    religious0.1220.066Switzerland0.0940.9445,138Europe & Central Asia
    religious0.3240.219Tajikistan0.2720.6501,200Europe & Central Asia
    religious0.049−0.017Thailand0.0160.7553,656East Asia & Pacific
    religious0.083−0.036Trinidad and Tobago0.0230.7841,210Latin America & Caribbean
    religious0.1590.065Tunisia0.1130.7351,681Middle East & North Africa
    religious0.2380.190Turkey0.2140.7916,438Europe & Central Asia
    religious0.1450.058Ukraine0.1020.7514,601Europe & Central Asia
    religious0.1520.092United Kingdom0.1220.9226,155Europe & Central Asia
    religious0.3130.254United States0.2840.9245,858North America
    religious0.2410.160Uruguay0.2010.8042,586Latin America & Caribbean
    religious0.2650.113Uzbekistan0.1900.710615Europe & Central Asia
    religious0.019−0.094Venezuela−0.0370.7611,190Latin America & Caribbean
    religious0.1390.034Vietnam0.0860.6941,373East Asia & Pacific
    religious0.043−0.085Zambia−0.0210.588946Sub-Saharan Africa
    religious0.003−0.088Zimbabwe−0.0420.5352,627Sub-Saharan Africa
    The economic and moral loadings are similar in the lower and middle thirds of countries by HDI (up to 0.86) and higher in the top third, while the religious loading rises from the lower to the middle to the top third. Each dot is one country and the solid line is a straight line fitted across countries, with a 95% band; the dashed line joins the median loading in each third of countries, drawn at the median HDI of the third with its 95% interval. The correlation across countries is +0.51 on the economic axis, +0.52 on the moral axis and +0.43 on the religious axis. The chart shows an association across countries and does not show that development changes what left-right tracks.Note: Kosovo, Macau, Puerto Rico and Taiwan have loadings but no HDI in the context file and are left out of this figure.Note: Each dot shows the country estimate only. The interval of every loading is in the data table.Source: World Values Survey and European Values Study, fieldwork 2005-2023; weighted (weight, S017 within each country); countries with an effective sample of 300 or more; HDI from the country context file joined to the survey (a single value per country)

    The median loading in the highest third minus the median in the lowest third is +0.07 (95% CI 0.04 to 0.13)+0.07 correlation coefficient (loading), from −1 to +1Estimandmedian of the religious loading in the highest third minus the median in the lowest third (bootstrap over countries within each third)Interval95% CI 0.04 to 0.13n66Weightsweight (S017) within each country; every country counted once across countriesPopulationthe highest and lowest thirds by human development index of the countries with a usable loading and a human development indexPeriodfieldwork 2005 or laterSourceWorld Values Survey and EVS for religion, +0.17 (95% CI 0.13 to 0.20)+0.17 correlation coefficient (loading), from −1 to +1Estimandmedian of the moral loading in the highest third minus the median in the lowest third (bootstrap over countries within each third)Interval95% CI 0.13 to 0.20n65Weightsweight (S017) within each country; every country counted once across countriesPopulationthe highest and lowest thirds by human development index of the countries with a usable loading and a human development indexPeriodfieldwork 2005 or laterSourceWorld Values Survey and EVS for moral attitudes and +0.22 (95% CI 0.15 to 0.32)+0.22 correlation coefficient (loading), from −1 to +1Estimandmedian of the economic loading in the highest third minus the median in the lowest third (bootstrap over countries within each third)Interval95% CI 0.15 to 0.32n66Weightsweight (S017) within each country; every country counted once across countriesPopulationthe highest and lowest thirds by human development index of the countries with a usable loading and a human development indexPeriodfieldwork 2005 or laterSourceWorld Values Survey and EVS for economic attitudes, so the religious loading differs least between the two ends of the range. The interval for economic attitudes lies above the interval for religion, and the interval for moral attitudes just overlaps it. The comparison is a cross-section of countries, so it cannot say whether development changes what the scale means or whether HDI stands in for party systems, education or the age of the democracy. Whether the loadings change over time within countries is not examined here.

    The pattern reappears in the ESS

    The European Social Survey (ESS) asks a left-right question of its own and covers many of the same countries, with separate samples and interviewers. Figure 8 compares the loadings in the two projects and opens on religion, where the mean absolute difference between the two surveys is smallest (0.040.04 absolute difference in correlation unitsEstimandmean across countries of the absolute difference between the two surveys loadingsWeightsweight within country in each survey; every country counted oncePopulationcountries with usable religious loadings in both surveysPeriodWVS/EVS fieldwork 2005 or later; ESS rounds 3 to 11SourceEuropean Social Survey). For the 3737 countriesEstimandcount of countries in both surveysWeightsnone (count)Populationcountries with usable loadings in both surveysPeriodWVS/EVS fieldwork 2005 or later; ESS rounds 3 to 11SourceEuropean Social Survey countries in both, the religious loadings correlate at +0.88 (95% CI 0.77 to 0.93)+0.88 correlation coefficient (loading), from −1 to +1EstimandPearson correlation across countries between the WVS/EVS and ESS religious loadings (Fisher z interval)Interval95% CI 0.77 to 0.93n37Weightsweight within country in each survey; every country counted oncePopulationcountries with usable loadings in both surveysPeriodWVS/EVS fieldwork 2005 or later; ESS rounds 3 to 11SourceEuropean Social Survey, and the two surveys give a loading with the same sign in 3434 countriesEstimandcount of countries where both surveys give a loading of the same signWeightsnone (count)Populationcountries with usable religious loadings in both surveysPeriodWVS/EVS fieldwork 2005 or later; ESS rounds 3 to 11SourceEuropean Social Survey of the countries. The correlation leans on a few countries with high loadings. Without the 55 countriesEstimandcount of countries left out of the leave-out check because the WVS/EVS religious loading is at or above the cutoffWeightsnone (count)Populationcountries with usable religious loadings in both surveysPeriodWVS/EVS fieldwork 2005 or later; ESS rounds 3 to 11SourceEuropean Social Survey countries whose WVS and EVS religious loading is 0.250.25 correlation coefficient (loading), from −1 to +1EstimandWVS/EVS religious loading at or above which a country is left out of the checkWeightsnone (constant)Populationthreshold used to set countries asidePeriodWVS/EVS fieldwork 2005 or later; ESS rounds 3 to 11SourceEuropean Social Survey or higher (Croatia, Greece, Poland, Slovenia and Spain), it is +0.73 (95% CI 0.51 to 0.86)+0.73 correlation coefficient (loading), from −1 to +1EstimandPearson correlation across countries between the WVS/EVS and ESS religious loadings, leaving out countries with a WVS/EVS loading at or above the cutoff (Fisher z interval)Interval95% CI 0.51 to 0.86n32Weightsweight within country in each survey; every country counted oncePopulationcountries with usable religious loadings in both surveysPeriodWVS/EVS fieldwork 2005 or later; ESS rounds 3 to 11SourceEuropean Social Survey across 3232 countriesEstimandcount of countries left in the leave-out checkWeightsnone (count)Populationcountries with usable religious loadings in both surveysPeriodWVS/EVS fieldwork 2005 or later; ESS rounds 3 to 11SourceEuropean Social Survey countries. The ESS measures religious practice by attendance and prayer, not by the importance of God, so the agreement is not a repeat of one question.

    Figure 8

    Country loadings on religion in the ESS track those in the WVS and EVS, with a correlation of +0.88

    Loading of left-right self-placement in the WVS/EVS (horizontal) and the ESS (vertical), countries in both surveys

    Show data
    Data for Country loadings on religion in the ESS track those in the WVS and EVS, with a correlation of +0.88
    CountryAxisWVS and EVS loadingWVS and EVS interval lowWVS and EVS interval highWVS and EVS respondentsESS loadingESS interval lowESS interval highESS respondents
    Albaniareligious+0.13+0.09+0.182,209+0.13+0.05+0.211,075
    Austriareligious+0.13+0.09+0.172,710+0.14+0.11+0.1611,712
    Belgiumreligious+0.12+0.07+0.171,421+0.020.00+0.0414,734
    Bulgariareligious+0.05+0.01+0.092,6700.00−0.02+0.0311,631
    Croatiareligious+0.36+0.32+0.402,354+0.29+0.26+0.316,727
    Cyprusreligious+0.07+0.04+0.113,279+0.07+0.04+0.105,481
    Czechiareligious+0.01−0.02+0.053,856−0.04−0.06−0.0214,071
    Denmarkreligious+0.06+0.03+0.104,678+0.06+0.03+0.089,023
    Estoniareligious−0.06−0.10−0.033,216−0.05−0.07−0.0313,568
    Finlandreligious+0.19+0.15+0.232,897+0.18+0.16+0.1916,370
    Francereligious+0.18+0.15+0.223,845+0.14+0.12+0.1516,168
    Germanyreligious+0.14+0.11+0.168,654+0.15+0.13+0.1629,078
    Greecereligious+0.29+0.25+0.332,118+0.24+0.22+0.278,492
    Hungaryreligious+0.15+0.12+0.193,432+0.11+0.09+0.1212,999
    Icelandreligious+0.13+0.08+0.172,299+0.11+0.08+0.143,999
    Irelandreligious+0.22+0.14+0.29682+0.21+0.20+0.2317,000
    Italyreligious+0.19+0.16+0.233,515+0.12+0.09+0.148,571
    Kosovoreligious−0.06−0.13+0.02650+0.10+0.01+0.19811
    Latviareligious+0.05+0.01+0.102,033−0.01−0.05+0.024,070
    Lithuaniareligious+0.12+0.07+0.161,812+0.06+0.03+0.089,180
    Montenegroreligious+0.15+0.09+0.211,218+0.09+0.04+0.132,973
    Netherlandsreligious+0.13+0.10+0.157,785+0.13+0.11+0.1414,937
    North Macedoniareligious+0.09+0.04+0.141,729+0.12+0.03+0.22880
    Norwayreligious+0.09+0.06+0.133,144+0.08+0.06+0.1013,264
    Polandreligious+0.28+0.25+0.313,703+0.29+0.28+0.3112,994
    Portugalreligious+0.15+0.09+0.201,954+0.14+0.12+0.1711,891
    Romaniareligious+0.01−0.02+0.044,728+0.09+0.03+0.151,466
    Russiareligious+0.11+0.07+0.144,411+0.04+0.01+0.077,854
    Serbiareligious+0.08+0.04+0.123,715+0.13+0.08+0.173,605
    Slovakiareligious−0.01−0.05+0.033,2570.00−0.03+0.029,783
    Sloveniareligious+0.33+0.30+0.363,098+0.36+0.34+0.379,147
    Spainreligious+0.36+0.33+0.394,244+0.30+0.28+0.3115,753
    Swedenreligious+0.03−0.01+0.064,155+0.05+0.04+0.0714,926
    Switzerlandreligious+0.09+0.07+0.125,138+0.12+0.11+0.1413,176
    Turkeyreligious+0.21+0.19+0.246,438+0.24+0.19+0.291,928
    Ukrainereligious+0.10+0.06+0.154,601+0.11+0.08+0.145,947
    United Kingdomreligious+0.12+0.09+0.156,155+0.09+0.07+0.1016,448
    Albaniamoral+0.02−0.03+0.062,220+0.06−0.02+0.151,036
    Austriamoral+0.19+0.15+0.232,681+0.22+0.20+0.2411,495
    Belgiummoral+0.08+0.02+0.131,419+0.03+0.01+0.0514,693
    Bulgariamoral−0.08−0.12−0.042,709−0.14−0.16−0.1110,701
    Croatiamoral+0.33+0.29+0.372,358+0.26+0.23+0.286,546
    Cyprusmoral+0.09+0.05+0.133,262+0.01−0.03+0.045,316
    Czechiamoral−0.11−0.14−0.073,909−0.12−0.14−0.1013,756
    Denmarkmoral+0.12+0.09+0.164,701+0.12+0.09+0.148,992
    Estoniamoral−0.03−0.07+0.013,240−0.06−0.08−0.0413,276
    Finlandmoral+0.16+0.12+0.202,910+0.17+0.16+0.1916,287
    Francemoral+0.19+0.15+0.223,818+0.14+0.12+0.1516,107
    Germanymoral+0.16+0.13+0.188,668+0.19+0.18+0.2129,021
    Greecemoral+0.29+0.25+0.332,188+0.19+0.16+0.218,325
    Hungarymoral+0.09+0.06+0.123,448+0.13+0.11+0.1512,264
    Icelandmoral+0.16+0.11+0.202,306+0.10+0.07+0.133,982
    Irelandmoral+0.22+0.14+0.30665+0.11+0.09+0.1316,742
    Italymoral+0.17+0.14+0.213,452+0.20+0.18+0.228,485
    Kosovomoral−0.02−0.10+0.06655−0.14−0.24−0.04715
    Latviamoral+0.02−0.03+0.062,028−0.06−0.10−0.033,931
    Lithuaniamoral+0.04−0.01+0.081,829−0.01−0.04+0.018,772
    Montenegromoral+0.09+0.03+0.151,250+0.06+0.01+0.112,898
    Netherlandsmoral+0.16+0.13+0.187,801+0.17+0.15+0.1814,891
    North Macedoniamoral+0.07+0.02+0.121,763+0.01−0.09+0.11840
    Norwaymoral+0.12+0.09+0.163,142+0.15+0.13+0.1713,231
    Polandmoral+0.28+0.25+0.313,646+0.23+0.21+0.2512,621
    Portugalmoral+0.04−0.01+0.101,915+0.11+0.08+0.1311,519
    Romaniamoral−0.06−0.09−0.034,6150.00−0.06+0.061,354
    Russiamoral−0.01−0.04+0.034,507−0.08−0.11−0.057,160
    Serbiamoral+0.07+0.03+0.113,654+0.14+0.10+0.193,549
    Slovakiamoral−0.04−0.080.003,260−0.07−0.10−0.059,445
    Sloveniamoral+0.30+0.26+0.333,127+0.22+0.20+0.248,891
    Spainmoral+0.32+0.30+0.354,220+0.23+0.21+0.2515,588
    Swedenmoral+0.05+0.02+0.084,155+0.11+0.09+0.1214,860
    Switzerlandmoral+0.20+0.17+0.235,159+0.21+0.20+0.2313,090
    Turkeymoral+0.19+0.16+0.216,427+0.22+0.16+0.271,745
    Ukrainemoral+0.01−0.03+0.064,550−0.02−0.06+0.015,220
    United Kingdommoral+0.17+0.14+0.206,116+0.16+0.14+0.1816,347
    Austriaeconomic+0.21+0.17+0.252,705+0.19+0.14+0.241,817
    Belgiumeconomic+0.25+0.20+0.301,414+0.19+0.16+0.223,372
    Bulgariaeconomic+0.25+0.21+0.292,773+0.17+0.11+0.221,600
    Croatiaeconomic+0.02−0.03+0.072,352−0.08−0.15−0.011,108
    Cypruseconomic0.00−0.04+0.043,266+0.09+0.02+0.151,008
    Czechiaeconomic+0.37+0.35+0.403,991+0.29+0.26+0.323,861
    Denmarkeconomic+0.46+0.43+0.494,679+0.32+0.26+0.371,535
    Estoniaeconomic+0.26+0.23+0.293,302+0.13+0.10+0.173,034
    Finlandeconomic+0.44+0.40+0.472,932+0.24+0.21+0.273,937
    Franceeconomic+0.34+0.31+0.373,827+0.27+0.24+0.303,859
    Germanyeconomic+0.19+0.17+0.228,683+0.16+0.13+0.195,288
    Greeceeconomic+0.19+0.15+0.242,184+0.12+0.07+0.181,709
    Hungaryeconomic0.00−0.04+0.033,447−0.03−0.08+0.012,534
    Icelandeconomic+0.50+0.46+0.532,307+0.23+0.16+0.30829
    Irelandeconomic+0.07−0.01+0.15687+0.09+0.06+0.133,887
    Italyeconomic+0.24+0.21+0.273,509+0.12+0.07+0.161,687
    Latviaeconomic+0.07+0.02+0.112,056−0.11−0.16−0.061,656
    Lithuaniaeconomic+0.10+0.05+0.151,871+0.04−0.02+0.101,510
    Netherlandseconomic+0.39+0.37+0.417,741+0.24+0.20+0.283,271
    Norwayeconomic+0.45+0.42+0.483,148+0.29+0.26+0.333,009
    Polandeconomic0.00−0.03+0.033,718−0.05−0.09−0.022,746
    Portugaleconomic+0.12+0.06+0.171,895+0.11+0.06+0.162,744
    Romaniaeconomic+0.11+0.08+0.144,705+0.060.00+0.121,460
    Russiaeconomic+0.06+0.03+0.104,564+0.09+0.05+0.143,162
    Slovakiaeconomic+0.12+0.09+0.163,336+0.19+0.13+0.251,545
    Sloveniaeconomic−0.03−0.070.003,138+0.040.00+0.082,079
    Spaineconomic+0.20+0.17+0.234,200+0.19+0.16+0.223,752
    Swedeneconomic+0.59+0.57+0.614,213+0.38+0.35+0.423,242
    Switzerlandeconomic+0.34+0.32+0.375,154+0.27+0.23+0.303,102
    Turkeyeconomic+0.08+0.05+0.106,325−0.04−0.09+0.021,883
    Ukraineeconomic+0.08+0.03+0.124,667+0.11+0.02+0.181,037
    United Kingdomeconomic+0.36+0.34+0.396,124+0.24+0.20+0.273,872
    Dots near the dashed line are countries where the two surveys give the same loading. On the religious axis the correlation across 37 countries is +0.88, and it is +0.73 across 32 countries once the 5 labeled countries with the highest WVS and EVS loadings (Croatia, Greece, Poland, Slovenia and Spain) are set aside. The mean absolute difference is 0.04. The WVS and EVS measure the importance of God and the ESS measures attendance and prayer.Note: Northern Ireland is left out because the ESS reports it within the United Kingdom.Note: The chart shows no interval on either loading. The data table lists the interval and the number of respondents of both loadings for every country.Note: The two surveys use different items and cover different years, so equal values are not expected on the economic and moral views.Source: World Values Survey and European Values Study, fieldwork 2005-2023, and European Social Survey, rounds 3 to 11 (rounds 4 and 8 for the economic axis); weighted (weight within each survey); countries with an effective sample of 300 or more in both

    The moral loadings agree at +0.89 (95% CI 0.79 to 0.94)+0.89 correlation coefficient (loading), from −1 to +1EstimandPearson correlation across countries between the WVS/EVS and ESS moral loadings (Fisher z interval)Interval95% CI 0.79 to 0.94n37Weightsweight within country in each survey; every country counted oncePopulationcountries with usable loadings in both surveysPeriodWVS/EVS fieldwork 2005 or later; ESS rounds 3 to 11SourceEuropean Social Survey across 3737 countriesEstimandcount of countries in both surveysWeightsnone (count)Populationcountries with usable loadings in both surveysPeriodWVS/EVS fieldwork 2005 or later; ESS rounds 3 to 11SourceEuropean Social Survey countries, using a single ESS question on the freedom of gay and lesbian people to live as they wish. The economic loadings correlate at +0.88 (95% CI 0.76 to 0.94)+0.88 correlation coefficient (loading), from −1 to +1EstimandPearson correlation across countries between the WVS/EVS and ESS economic loadings (Fisher z interval)Interval95% CI 0.76 to 0.94n32Weightsweight within country in each survey; every country counted oncePopulationcountries with usable loadings in both surveysPeriodWVS/EVS fieldwork 2005 or later; ESS rounds 4 and 8SourceEuropean Social Survey across 3232 countriesEstimandcount of countries in both surveysWeightsnone (count)Populationcountries with usable loadings in both surveysPeriodWVS/EVS fieldwork 2005 or later; ESS rounds 4 and 8SourceEuropean Social Survey countries, using six ESS questions on welfare and income differences that were fielded in two rounds, but the ESS loading is lower than the WVS and EVS loading in 2626 countriesEstimandcount of countries where the ESS economic loading is lower than the WVS/EVS economic loadingWeightsnone (count)Populationcountries with usable economic loadings in both surveysPeriodWVS/EVS fieldwork 2005 or later; ESS rounds 4 and 8SourceEuropean Social Survey of them, by a median of −0.07−0.07 difference in correlation unitsEstimandmedian across countries of the ESS economic loading minus the WVS/EVS economic loadingWeightsweight within country in each survey; every country counted oncePopulationcountries with usable economic loadings in both surveysPeriodWVS/EVS fieldwork 2005 or later; ESS rounds 4 and 8SourceEuropean Social Survey. The surveys therefore agree on the order of the countries on the economic axis and not on the size of the loading. The weakness of the WVS index does not explain the gap: in these countries the economic items of the WVS and EVS agree with one another about as much as the ESS items do, at median pairwise correlations of +0.15+0.15 correlation coefficient (loading), from −1 to +1Estimandmedian across the countries in both surveys of the mean pairwise correlation among the four WVS/EVS economic items after orientationWeightsweight (S017) within the countryPopulationcountries with usable economic loadings in both surveysPeriodfieldwork 2005 or laterSourceWorld Values Survey and EVS and +0.13+0.13 correlation coefficient (loading), from −1 to +1Estimandmedian across the countries in both surveys of the mean pairwise correlation among the six ESS welfare items after orientationWeightsweight (S017) within the countryPopulationcountries with usable economic loadings in both surveysPeriodESS rounds 4 and 8SourceEuropean Social Survey. The two surveys differ in items and in years, and this chapter does not test which of the two accounts for the gap.

    What these data cannot show

    The loadings are associations between two answers given by the same person in one interview, so they do not show whether attitudes shape self-placement, self-placement shapes attitudes, or a third influence such as a party system shapes both. Waves from 2005 to 2023 are pooled inside each country, so a loading blends years, and the economic index is a weak measure whose loadings depend on which items are averaged (Figure 6). The scale itself may mean different things to different respondents. In a German survey with open-ended questions, the associations people attached to left and right varied with self-placement, education and region of residence [7], and a study in Mexico and Argentina found different conceptions of the labels across individuals and contexts [8]. A loading therefore describes the association between the label and an attitude among people who answer the question. Chapter 7.5, Non-placement on the left-right scale (planned) asks who declines to answer, and Chapter 7.6, Education and ideology (planned) asks how the association differs by education.

    The intervals are model based and ignore clusteringClustered standard errorsStandard errors that allow answers within the same group, such as the same county or the same week, to be related. They are wider than ordinary errors when members of a group resemble each other. in the sample design (answers from the same place resemble one another) and stratification, which can raise or lower the variance of a correlation. The analysis does not use strata or sampling units, so the chapter gives a sensitivity check in place of a design-based interval, and the design effect in that check is assumed, not estimated. If clustering multiplied the variance of every correlation by 22 ratio of variancesEstimandassumed multiplier of the variance of every country correlation to allow for clustering (a sensitivity check, not an estimate)Weightsnone (constant)Populationdesign effect assumed in the sensitivity checkPeriodfieldwork 2005 or laterSourceWorld Values Survey and EVS (a design effect of 22 ratio of variancesEstimandassumed multiplier of the variance of every country correlation to allow for clustering (a sensitivity check, not an estimate)Weightsnone (constant)Populationdesign effect assumed in the sensitivity checkPeriodfieldwork 2005 or laterSourceWorld Values Survey and EVS), the number of countries with an interval above zero would fall to 6666 countries and territoriesEstimandcount of countries where the 95% interval of the religious loading is above zero when the effective sample is divided by the design effectWeightsnone (count)Populationcountries with an effective sample of 300 or morePeriodfieldwork 2005 or laterSourceWorld Values Survey and EVS for religion, 5656 countries and territoriesEstimandcount of countries where the 95% interval of the economic loading is above zero when the effective sample is divided by the design effectWeightsnone (count)Populationcountries with an effective sample of 300 or morePeriodfieldwork 2005 or laterSourceWorld Values Survey and EVS for economic attitudes and 5555 countries and territoriesEstimandcount of countries where the 95% interval of the moral loading is above zero when the effective sample is divided by the design effectWeightsnone (count)Populationcountries with an effective sample of 300 or morePeriodfieldwork 2005 or laterSourceWorld Values Survey and EVS for moral attitudes, and 1818 countries and territoriesEstimandcount of countries where no loading has an interval above zero when the effective sample is divided by the design effectWeightsnone (count)Populationcountries with at least one usable loadingPeriodfieldwork 2005 or laterSourceWorld Values Survey and EVS countries would have no axis above zero. The countries are the ones the surveys reached, not a random sample of the world, and the correlations across countries treat each loading as if it were measured without error. The agreement between the two surveys has a limit: both projects ask for self-placement on a left-right scale, with a ten-point form in the WVS and EVS, an eleven-point form in the ESS and different wording, so part of the agreement could come from how the label works in each country rather than from the attitudes. The data hold no party manifestos, expert placements of parties or vote choices, so they cannot say why the label attaches to religion in one country and to economics in another.


    Data sources

    • World Values Survey and EVSWorld Values Survey and European Values Study, fieldwork 2005-2023; Human Development Index from the country context fileYears: 1981-2023 (7 unified waves) · Weights: weight (S017) within each country; every country counted once across countries · License: Free download with registration; users must cite the release.
    • European Social SurveyEuropean Social Survey rounds 3 to 11 (rounds 4 and 8 for the welfare items), countries also in the WVS/EVSYears: 2002-2023 (rounds 1 to 11; round 11 was fielded in 2023 and 2024) · Weights: weight (analysis weight) within each country · License: Open access after free registration in the ESS Data Portal; follow the ESS data citation requirements.

    All data sources

    Methods

    Sample: respondents in the World Values Survey and European Values Study with fieldwork in 2005 or later (waves 5 to 7 and EVS 2008 and 2017), who answered the left-right question (1 to 10, 10 = right) and carry a positive weight: 107 of the 112 countries and territories surveyed in that window and 289,897 respondents. 104 of these countries have an effective sample of 300 or more on at least one axis, and their 288,980 respondents enter the estimates. The cleaned file holds 118 countries and territories; ten EVS countries (Austria, Belgium, Denmark, Iceland, Ireland, Luxembourg, Malta, Portugal, Kosovo and Northern Cyprus) have a blank country label there and are restored from the country code before any estimate. Estimand: for each country and axis, the survey-weighted Pearson correlation between left-right and the axis, waves pooled (the loading). Axes: the economic index averages the within-country weighted z-scores of income differences, government responsibility, state ownership and competition (E035, E037, E036, E039; at least three answered), the moral index averages those of the justifiability of homosexuality, abortion and divorce (F118, F120, F121; at least two answered), and the religious axis is the importance of God (F063). Item orientation is fixed from the scale labels in the survey dictionary. Weights: the survey weight (S017) within each country; cross-country summaries count each country once. Intervals: 95% Fisher z intervals (Fisher z is a transformation that gives a correlation an approximately normal sampling distribution) on the Kish effective sample size of the complete cases (the sample size after unequal weights have reduced precision). They treat the weighted sample as a simple random sample and ignore clustering (respondents interviewed in the same place resemble one another) and stratification, which can raise or lower the variance of a correlation; the last section reports the counts of countries with an interval above zero when the effective sample is divided by a design effect of 2, which is a sensitivity check and not an estimate. Medians across countries have 95% percentile intervals from a bootstrap over countries (countries are resampled with replacement, 2,000 replicates, seed 12345), and the difference between the medians of two groups of countries resamples each group on its own. Correlations across countries use Fisher z on the number of countries. Suppression: a country-axis cell needs an effective sample of at least 300. Strongest axis: the axis with the largest loading among the axes whose interval is above zero; the lead is clear when the lower end of that interval is above the point estimate of every other axis. Human development: one value per country from the context file joined to the survey, missing for 4 countries in the comparisons. The line in the human development figure is a straight line fitted across countries by least squares (the line that minimizes the squared vertical distances), with a 95% band from robust (HC3) standard errors, which stay valid when the spread around the line differs across countries. The thirds of countries are cut at the tercile points of the HDI among the countries with both an HDI and a loading, separately for each axis; the dashed line in that figure joins the median loading of each third, drawn at the median HDI of the third, with a 95% percentile interval from a bootstrap over the countries of that third. ESS comparison: loadings of the ESS 0 to 10 left-right scale on attendance and prayer (rounds 3 to 11), on gay and lesbian freedom (rounds 3 to 11) and on six welfare items (rounds 4 and 8), for 37, 37 and 32 countries in both surveys, with the ESS analysis weight.

    References

    1. Kish, Leslie (1965). Survey Sampling. John Wiley and Sons.
    2. Fisher, Ronald A. (1921). On the Probable Error of a Coefficient of Correlation Deduced from a Small Sample. Metron 1(4): 3-32.
    3. Knutsen, Oddbjorn (1995). Value Orientations, Political Conflicts and Left-Right Identification: A Comparative Study. European Journal of Political Research 28(1): 63-93. doi:10.1111/j.1475-6765.1995.tb00487.x
    4. Malka, Ariel; Lelkes, Yphtach; Soto, Christopher J. (2019). Are Cultural and Economic Conservatism Positively Correlated? A Large-Scale Cross-National Test. British Journal of Political Science 49(3): 1045-1069. www.cambridge.org/core/journals/british-journal-of-political-science/article/are-cultural-and-economic-conservatism-positively-correlated-a-largescale-crossnational-test/83AFEDEA5E004CF23631C5388E7C9F67
    5. Tavits, Margit; Letki, Natalia (2009). When Left Is Right: Party Ideology and Policy in Post-Communist Europe. American Political Science Review 103(4): 555-569.
    6. Piurko, Yuval; Schwartz, Shalom H.; Davidov, Eldad (2011). Basic Personal Values and the Meaning of Left-Right Political Orientations in 20 Countries. Political Psychology 32(4): 537-561. doi:10.1111/j.1467-9221.2011.00828.x
    7. Bauer, Paul C.; Barbera, Pablo; Ackermann, Kathrin; Venetz, Aaron (2017). Is the Left-Right Scale a Valid Measure of Ideology? Individual-Level Variation in Associations with Left and Right and Left-Right Self-Placement. Political Behavior 39(3): 553-583. doi:10.1007/s11109-016-9368-2
    8. Zechmeister, Elizabeth J. (2006). What’s Left and Who’s Right? A Q-method Study of Individual and Contextual Influences on the Meaning of Ideological Labels. Political Behavior 28(2): 151-173. doi:10.1007/s11109-006-9006-5

    How to cite

    @misc{singh2026leftandrightacrosscountries,
      author = {Singh, Vishal},
      title = {Left and right across countries},
      year = {2026},
      url = {https://vishalsingh.org/politics/left-and-right-across-countries},
      note = {In The Public Mind. Published 30 September 2026.}
    }

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