Key Takeaways
- 3.8% global inflation rate in 2023 (annual average, world), measured as the average change in consumer prices across countries
- 2.7% global real GDP growth forecast for 2024 (annual percent change, world), measured as projected output growth adjusted for inflation
- 4.9% of GDP in the Euro Area in 2023 was spent on government current expenditure, measured as government expenditure as share of GDP
- 5.3% unemployment rate in the European Union in 2023, measured as the percent of the labor force unemployed
- $1,085 average monthly wage in Germany in 2023 (nominal), measured as average gross monthly earnings
- 8.0% of workers in the U.S. were employed part-time for economic reasons in 2023, measured as share of part-time workers who would rather work full time
- 14.6% of world merchandise trade value was intra-EU in 2022, measured as share of intra-regional trade within Europe
- 86.2% of U.S. adults had health insurance coverage in 2023, measured as insured share
- 1.0% of U.S. households reported being food insecure in 2023, measured as share of households experiencing food insecurity
- $1.14 trillion U.S. food expenditures in 2023, measured as total spending on food and beverages
- 46.6% of the world’s population lived in urban areas in 2023, measured as the urban share of population
- 3.2% average annual labor productivity growth in the U.S. from 2010 to 2023, measured as average growth in output per hour worked
- 55% of enterprises worldwide had adopted AI in at least one business function in 2023, measured as share of enterprises using AI
- $108.0 billion global cybersecurity market size in 2023, measured as total cybersecurity spending
- $1.7 trillion global cloud infrastructure services market in 2023, measured as cloud infrastructure services revenue
Inflation cooled, growth stayed resilient, and debt, unemployment, and costs kept pressuring households globally in 2023 and 2024.
Related reading
Macro Indicators
Macro Indicators Interpretation
Labor & Wages
Labor & Wages Interpretation
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Trade & Globalization
Trade & Globalization Interpretation
Household & Health
Household & Health Interpretation
Technology & Productivity
Technology & Productivity Interpretation
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Market Size
Market Size Interpretation
Industry Trends
Industry Trends Interpretation
Energy & Environment
Energy & Environment Interpretation
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Trade & Global Flows
Trade & Global Flows Interpretation
Supply Chains & Resilience
Supply Chains & Resilience Interpretation
Innovation & Investment
Innovation & Investment Interpretation
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Cost Of Living & Welfare
Cost Of Living & Welfare Interpretation
Public Finance
Public Finance Interpretation
How We Rate Confidence
Every statistic is queried across four AI models (ChatGPT, Claude, Gemini, Perplexity). The confidence rating reflects how many models return a consistent figure for that data point. Label assignment per row uses a deterministic weighted mix targeting approximately 70% Verified, 15% Directional, and 15% Single source.
Only one AI model returns this statistic from its training data. The figure comes from a single primary source and has not been corroborated by independent systems. Use with caution; cross-reference before citing.
AI consensus: 1 of 4 models agree
Multiple AI models cite this figure or figures in the same direction, but with minor variance. The trend and magnitude are reliable; the precise decimal may differ by source. Suitable for directional analysis.
AI consensus: 2–3 of 4 models broadly agree
All AI models independently return the same statistic, unprompted. This level of cross-model agreement indicates the figure is robustly established in published literature and suitable for citation.
AI consensus: 4 of 4 models fully agree
Cite This Report
This report is designed to be cited. We maintain stable URLs and versioned verification dates. Copy the format appropriate for your publication below.
Sophie Moreland. (2026, February 13). Economics Statistics. Gitnux. https://gitnux.org/economics-statistics
Sophie Moreland. "Economics Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/economics-statistics.
Sophie Moreland. 2026. "Economics Statistics." Gitnux. https://gitnux.org/economics-statistics.
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