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Chinese household consumption in Q1 2026 showed divergence: income improved but spending slowed

Institution
Goldman Sachs
Date
2026-04-22
Authors
Yuting Yang, Andrew Tilton, Hui Shan, Lisheng Wang, Xinquan Chen, Chelsea Song
Company
-
Ticker
-
Industry
Consumer, Retail, Home Appliances, Communication Equipment, Autos, Entertainment
Rating
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NeutralLow confidenceThe report shows a slight year-over-year improvement in household income and a marginal recovery in consumer confidence, but consumption growth slowed, labor market and wage indicators diverged, auto sales were weak, and household loan demand remained soft. Therefore, the overall judgment is divergence rather than one-sided improvement.
AuthorsYuting Yang, Andrew Tilton, Hui Shan, Lisheng Wang, Xinquan Chen, Chelsea Song
Business segmentsHousehold Income、Household Consumption、Retail Sales、Auto Sales、Home Appliances、Communication Equipment、Employment and Wages、Household Savings、Consumer Confidence
Research firm divisions/subsidiariesGoldman Sachs(Other)

AI summary card

Chinese household consumption in Q1 2026 showed divergence: income improved but spending slowed

Goldman Sachs believes that in Q1, growth in Chinese household disposable income edged up slightly, but nominal consumption growth slowed; home appliances and communication equipment improved with support from trade-in subsidies, while spending on autos, transportation, and entertainment remained relatively weak.

This report is a macro and consumer dashboard study and does not provide single-stock ratings, target prices, or investment rating changes.
China ConsumptionHousehold IncomeRetail SalesTrade-in ProgramEmployment and WagesHousehold SavingsConsumer Confidence
  • Household disposable income grew 4.9% year over year in Q1, above 4.8% in Q4 last year, but nominal household consumption growth slowed from 4.0% to 3.6% year over year.
  • Retail sales growth edged up from 1.7% year over year in Q4 last year to 2.5% in Q1, mainly supported by online goods sales and some trade-in categories.
  • Funding support for trade-ins drove sequential improvement in home appliance and communication equipment sales, but the decline in auto sales offset part of the boost.
  • After seasonal adjustment, the urban surveyed unemployment rate rose from 5.1% in December 2025 to 5.3% in March 2026, while wage-related indicators showed mixed signals.
  • The household savings rate was about 32.3% in Q1, basically flat; estimated household bank "excess deposits" reached RMB 59 trillion.
  • The consumer confidence index improved at the margin, but consumption sentiment among younger and lower-income groups remained weaker than that of other groups.

Report interpretation

Overview

This report tracks Chinese household income, consumption, employment, savings, consumer confidence, and population-related indicators in Q1 2026. The core conclusion is that household spending showed clear divergence: income growth improved slightly, but consumption spending growth slowed; the consumer goods trade-in policy continued to support categories such as home appliances and communication equipment, but spending related to autos, transportation, and entertainment was weak; consumer confidence recovered somewhat, but employment and wage signals were inconsistent.

Core views

The report believes that household disposable income grew 4.9% year over year in Q1, slightly above 4.8% in Q4 last year, but nominal household consumption growth slowed from 4.0% to 3.6% year over year. The slowdown in consumption mainly came from weaker transportation and entertainment spending, while food and apparel consumption growth improved. Retail sales growth accelerated from 1.7% to 2.5% year over year, driven by online goods sales and trade-in support. In the labor market, the official urban surveyed unemployment rate rose, but the weighted average of PMI employment sub-indices improved, while wage tracking indicators showed urban wage growth slowing from 4.6% in Q4 last year to 4.3% in Q1. The household savings rate was basically flat, and consumer confidence improved moderately, but younger and lower-income groups remained more cautious.

Analysis framework

The report uses quarterly macro data, high-frequency consumer sentiment surveys, seasonally adjusted household income/expenditure and retail data, labor market indicators, wage tracking indicators, household deposit and loan flows, and regional population data for cross-validation. Data sources include NBS, PBOC, Wind, CEIC, Haver Analytics, Caixin, Morning Consult, and data compiled by Goldman Sachs Global Investment Research.

Methodology notes

  • Macro MonitoringChina Consumer Dashboard

    Multi-indicator tracking of household income, consumption, employment, savings, and confidence

    By using quarterly household surveys, retail sales, PMI employment sub-indices, wage indicators, savings rates, household deposits and loans, and consumer confidence indices, the report assesses the consumption capacity, willingness to spend, and potential divergence within China's household sector.

  • Data ProcessingSeasonal Adjustment and Sequential Annualized Comparison

    Using seasonally adjusted sequential annualized growth together with year-over-year growth

    The report compares both year-over-year growth and seasonally adjusted sequential annualized changes to distinguish base effects, Lunar New Year disruptions, and changes in real momentum.

  • Sentiment IndicatorsMorning Consult High-Frequency Consumer Survey

    Using high-frequency surveys to supplement lagged official consumer confidence data

    Because the NBS consumer confidence index is published with a lag, the report uses Morning Consult daily surveys as a more timely and more granular proxy for household sentiment.

Asset mapping & comparison

Structured mapping from thesis to named assets (strengths, weaknesses, peers, risks).

  • Home Appliances
    Supported by the consumer goods trade-in policy
    Strengths
    Incremental funding support drove sequential improvement in home appliance sales, showing high policy sensitivity.
    Weaknesses
    Growth may depend on the pace of subsidies; if policy support slows, the sustainability of demand will need to be verified.
    Comparison
    Compared with autos, home appliances performed better in Q1 under trade-in support.
    Risks
    Subsidy rollback, front-loaded demand, weaker household income expectations.
  • Communication Equipment
    Supported by the expanded scope of trade-in categories and subsidy funding
    Strengths
    Sales improved sequentially, and policy support boosted short-term retail performance.
    Weaknesses
    If consumer confidence or disposable income is insufficient, demand for non-essential upgrades may fluctuate.
    Comparison
    Similar to home appliances, performance was clearly better than the short-term performance of auto sales.
    Risks
    Diminishing subsidy effects, lengthening replacement cycles, weak consumption willingness among lower-income groups.
  • Autos
    A weaker category amid consumption divergence
    Strengths
    May still benefit from subsequent consumption-stimulus policies.
    Weaknesses
    Auto sales declined in Q1, with full-month March sales down 12.5% year over year relative to 2024.
    Comparison
    Performance was weaker than home appliances and communication equipment, offsetting part of the retail improvement brought by trade-ins.
    Risks
    Weak household loan demand, cautious durable goods consumption, price competition, and front-loaded demand.
  • Online Goods Retail
    An important contributor to the improvement in retail sales in Q1
    Strengths
    The report notes that the acceleration in retail sales mainly came from strong online goods sales.
    Weaknesses
    Overall household consumption growth still slowed, and online growth does not fully represent a broad-based consumption recovery.
    Comparison
    Compared with offline goods and some service consumption, online goods contributed more visibly to headline retail sales growth.
    Risks
    Insufficient consumer confidence, weakness among lower-income groups, intensifying competition.
  • Entertainment and Transportation Consumption
    The main drag on the slowdown in household consumption
    Strengths
    If confidence and employment improve, there is room for recovery.
    Weaknesses
    The report explicitly states that the slowdown in consumption growth was mainly driven by weaker transportation and entertainment spending.
    Comparison
    Weaker than food and apparel consumption, the latter of which saw improved growth.
    Risks
    Weaker employment, slower wage growth, lower consumption sentiment among younger groups.

Key data

  • Household Disposable Income Growth4.9% year-over-year growth in Q1 2026Above 4.8% in Q4 2025; seasonally adjusted sequential annualized growth was 5.4%, below 7.3% in Q4 last year.
  • Nominal Household Consumption Growth3.6% year-over-year growth in Q1 2026Below 4.0% in Q4 2025; seasonally adjusted sequential annualized growth slowed from 7.4% to 4.7%.
  • Retail Sales Growth2.5% year-over-year growth in Q1 2026Above 1.7% in Q4 2025, mainly supported by online goods sales and some trade-in categories.
  • Urban Surveyed Unemployment Rate5.3% in March 2026After Goldman Sachs seasonal adjustment, above 5.1% in December 2025.
  • Urban Wage Tracking Indicator4.3% year-over-year growth in Q1 2026Below 4.6% in Q4 2025, showing slightly weaker wage momentum.
  • Household Savings RateAbout 32.3% in Q1 2026Basically flat after seasonal adjustment and slightly below the level implied by the pre-pandemic trend.
  • Household Excess DepositsRMB 59 trillionGoldman Sachs estimates that as of Q1 2026, the excess portion of Chinese household bank deposits relative to the pre-pandemic trend was about RMB 59 trillion.
  • Child SubsidyRMB 3,600 per child per yearThe Chinese government launched a nationwide fertility subsidy in July 2025, providing annual subsidies for each child under three years old.

Impact & implications

For investment and macro judgment, the report indicates that China's consumption recovery remains uneven: policy subsidies can provide localized support for durable goods such as home appliances and communication equipment, but a broad-based improvement in household consumption still depends on recovery in employment, wages, household balance sheets, and confidence. High savings and weak household loan flows suggest that the household sector remains cautious, and there may be structural divergence in consumption upgrading or the recovery of services consumption. For consumer, retail, home appliance, communication equipment, auto, and entertainment-related assets, it is necessary to distinguish between policy-benefiting categories and demand-weak categories.

Risks

  • Further weakening in household employment and wage growth could suppress both consumption capacity and willingness to spend.
  • The boost from the trade-in policy to durable goods consumption may diminish or pull demand forward.
  • Weak auto sales may continue to drag on overall retail and related industry chains.
  • Weak consumer confidence among younger and lower-income groups may limit the breadth of the consumption recovery.
  • High household savings and weak loan demand suggest that the household sector's risk appetite remains low, making the release of consumption uncertain.

What to watch

  • Whether the subsequent NBS consumer confidence index and Morning Consult high-frequency consumer sentiment continue to improve.
  • Whether the urban surveyed unemployment rate, PMI employment sub-indices, and wage tracking indicators become aligned again.
  • The pace of trade-in policy fund deployment and the sales sustainability of categories such as home appliances, communication equipment, and autos.
  • Whether household deposit flows and short-term and medium-to-long-term household loan flows show improving risk appetite.
  • Whether the consumption sentiment and actual consumption behavior of younger and lower-income groups recover.
  • The potential impact of changes in resident population across provinces and the rollout of fertility subsidies on regional consumer demand.
Zhejiang ICP No. 2022035445-5
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