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Indian Public Opinion toward the Major Powers

Published online by Cambridge University Press:  04 May 2026

Aidan Milliff
Affiliation:
Florida State University
Paul Staniland
Affiliation:
University of Chicago

Summary

How has Indian public opinion toward the United States, China, and Russia/USSR evolved from the 1950s to the present and to what extent does it shape foreign policy? This Element assembles and analyzes more than sixty years of survey data, including newly recovered United States Information Agency–funded polls from the Indian Institute of Public Opinion as well as contemporary nationally representative surveys from Pew, Gallup, and others. The authors use the data to examine long-run trends, short-term reactions to shocks, and the domestic cleavages that structure opinion. They argue that Indian public attitudes are more coherent and responsive to international events than commonly assumed, yet are unequally voiced across socioeconomic groups. The findings speak both to India-specific debates about democracy and foreign policy and to broader international relations theories of public opinion, accountability, and major power politics.

Information

Figure 0

Figure 1 Survey data coverage over time, from Pew, Gallup, and US Information Agency/Indian Institute of Public Opinion polls. Bars represent aggregate annual respondent counts, sometimes spread across multiple surveys throughout a year. The figure includes only those surveys for which respondent-level data were obtainable. Through the Element, we also refer to “topline” figures from an additional decade-plus of USIA/IIPO studies for which datasets appear lost.

Figure 1

Figure 2 IIPO survey locations shaded by present-day states. All IIPO surveys we analyze use a rough 25% quota in each of four metropolitan areas: Delhi, Mumbai (in Maharashtra), Chennai (in Tamil Nadu), and Kolkata (in West Bengal). The resulting geographic distribution is not nationally representative.

Figure 2

Table 1 Demographic summary of survey respondents for Indian Institute of Public Opinion “International Images” Surveys, 1975–2001. Additional summary statistics by city and by survey wave are available in the replication material.Table 1 long description.

Figure 3

Figure 3 Geographic distribution of survey responses to the 2007–2009 and 2016–2018 Pew Global Attitudes and Gallup World Poll surveys. Maps are shaded by the proportion of total respondents in each survey that hail from a given state. The “missing” states in the 2007–2009 Gallup surveys, for reference, are in India’s less-populous Northeast, plus Telangana in the south (which did not exist until 2014) and the union territory of Ladakh in the far north, which was not created until 2019.

Figure 4

Table 2 Demographic summary of survey respondents, Pew Global Attitudes Surveys, 2007–2018Table 2 long description.

Figure 5

Table 3 Demographic summary of survey respondents Gallup World Poll 2006–2018Table 3 long description.

Figure 6

Figure 4 Average attitudes toward China, the USSR, and the United States in Indian Institute of Public Opinion surveys across forty-two years. Each point in the figure represents the “average” response for a single survey wave, across options ranging from “very bad” (1) to “very good” (5). The dashed vertical line indicates the first date for which respondent-level data (vs. topline averages) are available.

Figure 7

Figure 5 Indian attitudes toward the United States, China, and Soviet Union/Russia from IIPO surveys, disaggregated by region.

Figure 8

Figure 6 Regional breakdown of attitudes toward the United States, China, and Russia in the twenty-first century, from Pew and Gallup polling data.

Figure 9

Figure 7 Response rates across different foreign policy questions in the Gallup World Poll (2006–2018). The grey mass represents a density plot of questions, with the horizontal axis indicating the rate at which a particular question is refused or skipped. Vertical lines indicate example questions at different proportions of refusal.

Figure 10

Figure 8 Predicted count of don’t know responses from a model of question refusal in the 2006–2018 Gallup World Polls. Predicted counts are estimated based on an ordinary least squares regression model that includes education, gender, income, urbanicity, age, employment status, and region as predictors. The model includes fixed effects for survey wave, and Huber-White standard errors. Full model results are available in the online appendices.

Figure 11

Figure 9 Average Indian attitudes toward China from the 1960s to 2018. Data come from surveys by IIPO (in yellow), Pew (red), and Gallup (blue). In order to facilitate comparison across different question wordings (reproduced in the figure notes), individual points and best-fit curves represent the proportion of complete responses in a given survey that express approval/favorability instead of disapproval/unfavorability. Vertical dashed lines mark the timing of major border clashes.

Figure 12

Figure 10 Predicted probability of reporting a “good” or “very good” opinion of China in IIPO surveys from 1986 to 1988. Predicted probabilities for each survey wave are estimated holding a number of demographic covariates (religion, region, age, education, income, and gender) constant. The start and end points of the Sumdorong Chu crisis are marked by dashed vertical lines.

Figure 13

Figure 11 Predicted probability of reporting “approval” of China or China’s leadership in Pew and Gallup surveys between 2012 and 2014. Predicted probabilities for each survey wave are estimated holding a number of demographic covariates (region, age, education, income, and gender) constant. The start and end points of the Depsang crisis are marked by dashed vertical lines.

Figure 14

Figure 12 Predicted probability of reporting “approval” of China or China’s leadership in Pew and Gallup surveys between 2016 and 2018. Predicted probabilities for each survey wave are estimated holding a number of demographic covariates (region, age, education, income, and gender) constant. The start and end points of the Doklam crisis are marked by dashed vertical lines.

Figure 15

Figure 13 A plot of the marginal effect of region on approval of China, in which the effect varies as a function of survey year, estimated using the Interflex procedure (Hainmueller et al., 2022). Colored lines and standard error shading show the estimated linear relationship between survey year and region effect for each region, using the North as a reference. Colored point estimates and standard error bars show binned estimates for the oldest, middle, and newest surveys.

Figure 16

Figure 14 Region coefficients from regression models predicting respondents’ attitudes about China. All coefficients are compared to China’s approval in the omitted region, North India.

Figure 17

Figure 15 Associations between partisanship and support for China in a model using survey responses from the Pew Global Attitudes surveys. The baseline category for partisanship is support for the BJP. Models adjust for a range of demographic factors and include year fixed effects and HC2 heteroskedasticity robust standard errors. The region coefficient for the Southern region is included to show relative sizes.

Figure 18

Figure 16 Association between partisanship and approval of China, allowing the BJP/attitude association to vary depending on whether a BJP government is (post-2014) or is not (pre-2014) in power at the federal level. Models, fit using Pew data, control for the same range of covariates as described earlier.

Figure 19

Figure 17 Predicted probability of “approval” of China disaggregated by party and region across the 2010s. Predicted probabilities are calculated from a model that adjusts for demographic composition of groups.

Figure 20

Figure 18 Views of the United States in Indian Institute of Public Opinion

Figure 21

Figure 19 Views of the United States in Pew and Gallup polls

Figure 22

Figure 20 Regional variation in approval of the United States

Figure 23

Figure 21 Favorability of US by Region and Party

Figure 24

Figure 22 Views of Russia/USSR in Indian Institute of Public Opinion surveys.

Figure 25

Figure 23 Views of Russia in Pew and Gallup polls

Figure 26

Figure 24 Regional variation in approval of Russia

Figure 27

Figure 25 Favorability of Russia by region and party

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