Key Takeaways
- 1.2% of global adults (about 201 million people) had opioid use disorder in 2019, indicating a major and measurable global substance-use burden
- 2.6 billion people used social media in 2023 (DataReportal estimate), providing a concrete platform adoption figure
- 5.0 billion people were estimated to be active mobile cellular connections worldwide in 2024 (ITU), measuring global connectivity scale
- 6.5 million deaths in 2019 were attributable to air pollution (including both household and ambient air pollution), a quantifiable mortality impact
- 3.4 million deaths in 2019 were attributable to tobacco smoking, highlighting the measurable health toll from a single risk factor
- 8.7 million people died in 2019 from air pollution-related causes (ambient and household combined), showing a concrete mortality burden estimate
- Organizations that used zero trust in 2023 reported a 12% lower average cost of a data breach than those that didn’t (IBM report), quantifying security program impact
- Ransomware accounted for 26% of breaches in Verizon’s 2024 DBIR
- 65% of enterprises adopted or planned to adopt generative AI at scale in 2024 (Gartner survey summary in Gartner press materials), a quantified adoption intent
- 25% of enterprises will implement generative AI in production by 2025 (Gartner forecast), a measurable deployment milestone
- 13% of adults globally still did not use the internet in 2021 (ITU/World Bank-linked indicator), giving a measurable digital divide magnitude
- 18.0% of the global population lived with obesity in 2022, according to an NCD-RisC model estimate
- 11.3 million people developed TB globally in 2023 (WHO estimate)
- 8.7 million deaths in 2019 were attributable to air pollution (ambient and household combined), indicating a concrete mortality burden estimate
- The global 5G adoption rate reached 33% of mobile connections in 2024 (GSMA Intelligence estimate)
In 2019 and 2023, major risks and inequalities shaped health, security, and digital life worldwide.
Market Size
Market Size Interpretation
Industry Trends
Industry Trends Interpretation
Cost Analysis
Cost Analysis Interpretation
User Adoption
User Adoption Interpretation
Public Health
Public Health Interpretation
Performance Metrics
Performance Metrics 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.
Rachel Svensson. (2026, February 13). Class Interval Statistics. Gitnux. https://gitnux.org/class-interval-statistics
Rachel Svensson. "Class Interval Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/class-interval-statistics.
Rachel Svensson. 2026. "Class Interval Statistics." Gitnux. https://gitnux.org/class-interval-statistics.
References
- 1emro.who.int/mha/documents/word-health-organization-2019-opioid-use-disorder-global-burden.pdf
- 2datareportal.com/social-media-users
- 3itu.int/en/ITU-D/Statistics/Pages/stat/default.aspx
- 4unocha.org/publications
- 5gartner.com/en/newsroom/press-releases/2024-02-01-gartner-forecast-worldwide-it-spending-to-increase
- 6gartner.com/en/newsroom/press-releases/2024-06-17-gartner-forecast-worldwide-public-cloud-end-user-spending-to-grow-20-percent-to-678
- 21gartner.com/en/newsroom/press-releases/2024-06-04-gartner-says-enterprises-will-increase-its-investment-in-generative-ai-in-2024
- 22gartner.com/en/newsroom/press-releases/2023-04-18-gartner-forecasts-through-2025
- 7who.int/publications/i/item/9789240034228
- 8who.int/news-room/fact-sheets/detail/tobacco
- 9who.int/news-room/fact-sheets/detail/ambient-(outdoor)-air-quality-and-health
- 25who.int/news-room/fact-sheets/detail/tuberculosis
- 10data.oecd.org/unemp/unemployment-rate.htm
- 11unhcr.org/us/media/global-trends-report
- 12iea.org/reports/global-energy-review-2023
- 13iea.org/reports/co2-emissions-in-2022
- 14samhsa.gov/data/report/2023-nsduh-detailed-tables
- 15samhsa.gov/data/report/2023-nsduh-reported-percentage-illicit-drug-use
- 16samhsa.gov/data/report/2022-nsduh-mental-health-mental-illness
- 17grandviewresearch.com/industry-analysis/medical-devices-market
- 18fortunebusinessinsights.com/enquiry/tech-security-market-102572
- 19ibm.com/reports/data-breach
- 20verizon.com/business/resources/reports/dbir/
- 23data.worldbank.org/indicator/IT.NET.USER.ZS
- 24thelancet.com/cms/10.1016/S0140-6736(23)01699-0/attachment/8d0a2c0c-9b9c-4a5a-8d5b-7d8b7c2d0d3a/mmc1.pdf
- 26thelancet.com/journals/lanpl/article/PIIS2666-5247(21)00189-3/fulltext
- 27gsma.com/mobileeconomy/
- 28imf.org/en/Publications/WP/Issues/2021/11/17/Understanding-the-Impact-of-Global-Supply-Chain-Disruptions-517386







