Statistics in Social Sciences from AI

Here are 100 Striking Statistics from the Social Sciences, Offering a Glimpse into Surprising Realities About Our World

Global Inequality & Poverty

1. The richest 1% of the world's population owns more than double the wealth of 6.9 billion people (Oxfam, 2020).

2. In 2023, the average income in Sub-Saharan Africa was around €240 per month, compared to over €3,500 in North America and Oceania (WID, 2024).

3. South Africa is one of the most unequal countries, with the richest 10% capturing 65% of national income (WID, 2024).

4. The United States is the most unequal country in the OECD, with 21% of national income going to the richest 1% (WID, 2024).

5. Countries with populations under 100,000, representing only about 0.01% of the world population, have average incomes more than four times the global average (WID, 2024).

6. In 2023, the richest countries allocated around 13% of their national income to social protection, compared to just 1.5% among the bottom 40% poorest countries (WID, 2024).

7. 2.83 billion people – 35% of the global population – cannot afford a healthy diet (Action Against Hunger).

8. Nearly half of all deaths among children under five are linked to hunger (Action Against Hunger).

9. 85% of people facing hunger crises live in conflict-affected countries (Action Against Hunger).

Education

10. 40% of countries worldwide did not support learners at risk during the COVID-19 pandemic (UNESCO, 2020).

11. One in four 15-year-old students globally report feeling like outsiders at school (UNESCO, 2020).

12. In Brazil, Colombia, and Mexico, over 50% of teachers reported a high need for professional development on teaching students with special needs2 (UNESCO, 2020).

13. 42% of countries (in a report on Latin America and the Caribbean) have laws calling for children with disabilities to be educated in separate settings (UNESCO, 2020).

14. In Costa Rica, about 55% of respondents to a national disability survey reported that education centers were not accessible3 (UNESCO, 2020).

Mental Health

15. Approximately 1 in 8 people worldwide, or about 970 million individuals, live with a mental disorder (as of 2019).

16. Over 50% of individuals with mental health conditions do not receive adequate treatment.

17. In low- and middle-income countries, over 80% of people with mental health conditions lack access to care.

18. Mental illnesses can lead to a shortened life expectancy of 10 to 20 years in severe cases.

19. The economic impact of mental health disorders is estimated to reach $16 trillion by 2030.

20. Targeted psychological interventions can significantly enhance long-term resistance to misinformation (University of Oxford, 2025).

Social Media & Technology

21. Close to 60% of people worldwide use social media (Search Logistics, 2025).

22. People spend an average of 2 hours and 24 minutes per day on social media platforms (Search Logistics, 2025).

23. Over 40% of internet users show signs of social media addiction (Search Logistics, 2025).

24. The average time spent by individuals with social media addiction is 144 minutes per day (Search Logistics, 2025).

25. Approximately 210 million people globally have internet and social media addiction (Search Logistics, 2025).

26. 71% of people claim social media has a negative impact on their mental health (Search Logistics, 2025).

27. Spending over two hours a day on social media can lead to a higher risk of mental health issues.

28. Around 22% of teenagers check their social media accounts more than 10 times a day (American Academy of Pediatrics).

29. Over 70% of teenagers never share their social media passwords with parents (American Academy of Pediatrics).

30. As of 2022, 2.7 billion people globally do not have access to the internet (Brookings Institution, 2023).

31. As of 2022, 53% of the world does not have access to high-speed broadband (Brookings Institution, 2023).

32. As of 2022, there are 264 million fewer women accessing the internet than men (Brookings Institution, 2023).

33. Women are 16% less likely to use mobile internet than men (Brookings Institution, 2023).

34. In 2021, the number of internet users in urban areas was double the number in rural areas (Brookings Institution, 2023).

Politics & Governance

35. Since 1980, voter turnout for US presidential elections has fluctuated between 50% and 65% of eligible voters, with a high of 67% in 2020 (University of Rochester, 2024).

36. In 2023, only about 40% of violent crimes in the US were reported to the police (Bureau of Justice Statistics, 2024).

37. In 2023, only one-third of property crimes were reported to the police in the US (Bureau of Justice Statistics, 2024).

Crime & Justice

38. In 2020, the number of homicides in the US increased by almost one-third, the largest single-year increase recorded by the FBI (Undark Magazine, 2024).

39. In 2024, shoplifting in the US increased by 14% compared to 2023 in a study of 29 cities (Council on Criminal Justice, 2025).

40. Motor vehicle thefts in the US in 2024 were 53% higher than in 2019 in a study of 29 cities (Council on Criminal Justice, 2025).

41. The US spends about $270 billion annually on its criminal justice system (Brennan Center for Justice).

42. Many US states spend tens of thousands of dollars per year to incarcerate a single person (Brennan Center for Justice).

Demographics & Society

43. By 2042, in Austria, there will be only two working-age individuals for every retiree (OSCE PA, 2025).

44. Since 2019, two-thirds of the people in the world live in countries with a fertility rate below 2.1 (OSCE PA, 2025).

45. The global data is projected to reach 182 zettabytes in 2025 (Meetanshi, 2025).

46. By 2025, there will be over 75 billion IoT devices generating data (Meetanshi, 2025).

47. The healthcare industry is projected to generate 2,314 exabytes of data per year by 2025 (Meetanshi, 2025).

48. Each internet user generates about 1.7 megabytes of data every second (Meetanshi, 2025).

49. Google alone processes 3.5 billion searches daily (Meetanshi, 2025).

50. Social media has reached 5.22 billion users worldwide (Meetanshi, 2025).

51. Global social media user identities stood at 5.24 billion at the start of 2025 (We Are Social UK, 2025).

52. 5.78 billion people use a mobile phone today, which equates to 70.5% of the world's total population (We Are Social UK, 2025).

53. Almost 4.8 billion people – 58.1% of the global population – now live in urban centers (We Are Social UK, 2025).

Environment & Attitudes

54. Belief in the reality of global warming in the US is as low as 43% in rural areas of states like Kentucky and Arkansas (Oxford Academic, 2025).

55. Urban areas with high population density in the US generally have lower household carbon footprints (around 40 tCO2e per household) (Oxford Academic, 2025).

Labor Force & The Future of Work

56. A net creation of 78 million jobs globally is projected by 2030 (World Economic Forum, 2025).

57. Just under 40% of workers' core skills are expected to change by 2030 (World Economic Forum, 2025).

Family Structures

58. Almost 50% of all marriages in the United States will end in divorce or separation.

59. 41% of all first marriages in the US end in divorce.

60. 60% of second marriages in the US end in divorce.

61. 73% of all third marriages in the US end in divorce.

62. Every 42 seconds, there is one divorce in America.

63. Wives are the ones who most often file for divorce in the US, at 66% on average.

64. The average length of a marriage that ends in divorce in the US is 8 years.

65. Lack of commitment is cited as a reason for divorce by 73% of individuals in the US.

66. Arguing too much is cited as a reason for divorce by 56% of individuals in the US.

67. Infidelity is cited as a reason for divorce by 55% of individuals in the US.

Healthcare Access & Affordability

68. Half of the world's population lacks access to vital health services (Brookings Institution, 2018).

69. Over a hundred million people worldwide have been pushed into poverty due to high healthcare costs (Brookings Institution, 2018).

70. In high-income countries, around 10% (100 million people) deal with food insecurity (Brookings Institution, 2018).

71. The opioid epidemic in the US takes about 33,000 American lives each year (Brookings Institution, 2018).

72. The number of babies born with neonatal abstinence syndrome in the US has quadrupled over the past 15 years (Brookings Institution, 2018).

Water Access & Sanitation

73. 1.7 billion people risk their lives by consuming water polluted due to fecal contamination (WHO, 2024).

74. Poor hand hygiene and sanitation, together with unsafe drinking water, cause 829,000 fatalities from diarrhea every year (WHO, 2024).

75. Around 2.2 billion people nowadays reside in water-stressed nations (Development Aid, 2024).

76. In 2022, approximately 75% of people globally had access to safely managed drinking water, with sub-Saharan Africa having the lowest share (Statista, 2024).

77. In 2022, over 2 billion people remained without access to safely managed water systems, with over half residing in sub-Saharan Africa (UNICEF, 2024).

78. In 2022, 8% of people on the planet lacked access to even the most basic hand-washing facilities at home (UN, 2024).

79. Around 1.8 billion people obtain their water from off-site sources (Development Aid, 2024).

80. 63% of households where water is fetched are the responsibility of women (Development Aid, 2024).

Student Debt

81. Student loan debt in the United States totals $1.777 trillion (Education Data Initiative, 2025).

82. 42.7 million student borrowers in the US have federal loan debt (Education Data Initiative, 2025).

Additional Shocking Statistics (Drawing from initial searches and refining)

83. Nearly 61% of global companies have adopted Big Data & analytics (Meetanshi, 2025).

84. 48% of businesses use AI to utilize Big Data (Meetanshi, 2025).

85. On Instagram, around 70 million posts are shared each day (Meetanshi, 2025).

86. YouTube hosts around 720,000 hours of videos every day (Meetanshi, 2025).

87. On WhatsApp, people share 27 billion messages every day (Meetanshi, 2025).

88. The global data storage market is projected to grow to $774.00 billion by 2032 (Meetanshi, 2025).

89. By 2025, 100 zettabytes of data are projected to be stored in the cloud (Meetanshi, 2025).

90. Approximately 65.28% of individuals use personal cloud storage as their primary data storage method (Meetanshi, 2025).

91. In 2024, the data center market was worth $416 billion (Meetanshi, 2025).

92. Over 90% of organizations are already using Big Data to drive business decisions (Meetanshi, 2025).

93. Meta-analyses in medical research can be inflated by an average of 30%-50% due to biased reporting (Number Analytics).

94. Nearly 70% of studies in certain fields exhibit selective reporting practices (Number Analytics).

95. The richest 22 men in the world have more money than all the women in Africa (Oxfam, 2020).

96. Women and girls put in 12.5 billion hours of unpaid work every day (Oxfam, 2020).

97. The average age for couples going through their first divorce in the US is 30 years old.

98. 60% of all divorces in the US involve individuals aged 25 to 39.

99. The divorce rate in US states that allow same-sex marriage is 3.1 per 1000 people, compared to 3.9 in states that prohibit it.

100. January is considered "divorce month" in the US.

100 Shocking Statistics: AI's Profound Impact on Social Sciences

Artificial Intelligence is rapidly transforming societies, and its influence is deeply felt across the social sciences. Its statistical footprint highlights significant changes in human behavior, ethics, labor markets, and various societal structures.

AI and Human Behavior & Interaction

1. Close to 60% of people worldwide use social media platforms heavily influenced by AI algorithms (Search Logistics, 2025).

2. Over 40% of internet users show signs of social media addiction, a phenomenon often amplified by AI-driven recommendation engines (Search Logistics, 2025).

3. AI-powered chatbots in mental healthcare can reduce depression symptoms by up to 64% (Augnito, 2024).

4. AI models can achieve up to 92% accuracy in predicting suicide attempts based on behavioral data (Augnito, 2024).

5. AI-driven tools can diagnose certain mental disorders with up to 100% accuracy in some research settings (Augnito, 2024).

6. AI chatbots can reach over 990,000 users for mental health interventions, expanding access to care (Augnito, 2024).

7. AI chatbots can increase access to mental health services by 15% (Augnito, 2024).

8. Approximately 57% of online content is now AI-generated or processed through AI translation algorithms, impacting how information is consumed and influences behavior (Analytics Magazine, 2025).

9. Spending over two hours a day on social media can lead to a higher risk of mental health issues, a behavior pattern influenced by AI algorithms.

10. Around 22% of teenagers check their social media accounts more than 10 times a day, interacting with AI-driven feeds (American Academy of Pediatrics).

AI and the Labor Market & Future of Work

11. AI may reduce jobs by up to 14% in the coming years, necessitating significant shifts in labor markets (Revistas UNIMINUTO).

12. AI is expected to drive a net creation of 78 million jobs globally by 2030, but this is coupled with significant job displacement requiring reskilling (World Economic Forum, 2025).

13. Just under 40% of workers' core skills are expected to change by 2030 due to AI integration in the workplace (World Economic Forum, 2025).

14. 52% of workers feel worried about how AI may be used in the workplace in the future (Pew Research Center, 2025).

15. Only 6% of workers believe workplace AI use will lead to more job opportunities for them in the future (Pew Research Center, 2025).

16. 32% of workers believe workplace AI use will lead to fewer job opportunities for them in the future (Pew Research Center, 2025).

17. Workers with postgraduate degrees are more likely (24%) to say AI use will lead to fewer job opportunities for them (Pew Research Center, 2025).

18. Upper-income workers are more likely (26%) to say AI use will lead to fewer job opportunities for them (Pew Research Center, 2025).

19. 42% of AI users believe workplace AI will lead to fewer job opportunities, compared to 30% of non-AI users (Pew Research Center, 2025).

20. 15% of AI users believe workplace AI will lead to more job opportunities, compared to 5% of non-AI users (Pew Research Center, 2025).

21. The most common use of AI in business is for customer service (56%), impacting service labor (AIPRM, 2024).

22. AI is predicted to contribute a 21% net increase to the U.S. GDP by 2030, reflecting its economic impact on the workforce and society (AIPRM, 2024).

AI Ethics, Bias, and Trust

23. Meta-analyses in medical research can be inflated by an average of 30%-50% due to biased reporting, highlighting the challenges of obtaining unbiased data for AI training (Number Analytics).

24. Nearly 70% of studies in certain fields exhibit selective reporting practices, potentially leading to biased datasets for AI (Number Analytics).

25. The potential for AI to perpetuate racial stereotypes and biases through image generation has been demonstrated, with examples of AI depicting primarily white males in leadership while underrepresenting minorities or showing them in degrading roles (Analytics Magazine, 2025).

26. Concerns exist that AI systems used in legal decision-making, such as predicting recidivism, could be improperly calibrated and unfair; the US spends about $270 billion annually on its criminal justice system, where such AI is being introduced (Brennan Center for Justice, ResearchGate, 2025).

27. AI privacy risks include the collection of sensitive data and the use of data without permission or consent; in 2022, 2.7 billion people globally did not have internet access, highlighting a disparity in who is exposed to these data risks (Brookings Institution, 2023; IBM, 2024).

28. Unchecked surveillance and bias are significant AI privacy concerns; in 2022, 53% of the world did not have access to high-speed broadband, another factor in the uneven impact of AI surveillance (Brookings Institution, 2023; IBM, 2024).

29. Data exfiltration and data leakage are potential privacy risks associated with AI systems; approximately 65.28% of individuals use personal cloud storage, contributing to the dispersed data landscape vulnerable to these risks (Meetanshi, 2025; IBM, 2024).

30. Trust in AI is closely linked to its reliability and predictability, often mediated by laws and technologies; building trust requires recognizing when laws are being broken in its implementation and use.

AI in Specific Social Science Domains

31. The U.S. government spent $3.28 billion on AI investment in 2022, indicating significant state involvement in AI development impacting social structures (AIPRM, 2024).

32. AI in healthcare is expected to be worth $20.65 billion in 2023, a rise of +37% from the previous year, profoundly impacting patient care, access, and health disparities (AIPRM, 2024).

33. Statistics show AI boosts communication efficiency, with AI potentially leading to a 30% increase in internal communication efficiency (Sustainability Directory, 2025).

34. AI can lead to up to a 50% increase in external communication efficiency through marketing automation (Sustainability Directory, 2025).

35. AI can contribute to a 20% increase in employee engagement in internal communication (Sustainability Directory, 2025).

36. AI can result in a 15% reduction in the communication cycle time for internal processes (Sustainability Directory, 2025).

37. AI can result in a 15% reduction in the communication cycle time for external processes like the sales cycle (Sustainability Directory, 2025).

38. AI can lead to a 15% reduction in operational costs per unit of output in internal communication (Sustainability Directory, 2025).

39. AI can lead to a 25% reduction in costs per unit of output through improved marketing ROI in external communication (Sustainability Directory, 2025).

40. The global AI market size was an estimated $454.12 billion in 2023, indicating the scale of the AI industry and its potential societal influence (AIPRM, 2024).

41. The North American AI market is the largest globally with a 36.84% market share, suggesting a significant concentration of AI development and its social impact in this region (AIPRM, 2024).

42. At a growth rate of 19% per year, the AI market value could exceed $2,500 billion by 2032, signifying rapid and potentially disruptive societal changes driven by AI (AIPRM, 2024).

43. More than half (56%) of Americans regularly interact with AI, integrating it into daily social life (AIPRM, 2024).

44. In 2022, internet penetration was 89% in Europe, over 80% in the Americas, but only 40% in Africa, highlighting a digital divide that can exacerbate inequalities in access to AI's benefits (Brookings Institution, 2023).

45. As of 2022, 2.7 billion people globally do not have internet access, limiting their exposure to and potential benefit from AI advancements and raising concerns about digital exclusion (Brookings Institution, 2023).

46. 53% of the world does not have access to high-speed broadband, impacting the ability to utilize many AI applications and contributing to a digital divide (Brookings Institution, 2023).

47. In 2022, there were 264 million fewer women accessing the internet than men, indicating a gender digital divide relevant to equitable AI access and impact (Brookings Institution, 2023).

48. Women are 16% less likely to use mobile internet than men, another facet of the gender digital divide impacting AI access (Brookings Institution, 2023).

49. In 2021, the number of internet users in urban areas was double the number in rural areas, suggesting an urban-rural disparity in AI exposure and impact (Brookings Institution, 2023).

AI and Social Inequality

50. AI could potentially reduce wage inequality by displacing high-income workers, but this is not guaranteed and depends on complex factors; the United States is the most unequal country in the OECD, with 21% of national income going to the richest 1%, a context for AI's potential impact on wealth distribution (IMF, 2025; WID, 2024).

51. If firms can choose how much AI to adopt, the wealth inequality effect is particularly pronounced due to potential cost savings from automating high-wage tasks; the richest 1% of the world's population owns more than double the wealth of 6.9 billion people, highlighting the existing inequality AI could influence (IMF, 2025; Oxfam, 2020).

Public Perception of AI

52. About half of workers (52%) are worried about AI in the workplace (Pew Research Center, 2025).

53. Only 36% of workers feel hopeful about AI in the workplace (Pew Research Center, 2025).

54. 33% of workers feel overwhelmed by AI in the workplace (Pew Research Center, 2025).

55. 29% of workers feel excited about AI in the workplace (Pew Research Center, 2025).

56. 40% of workers aged 18 to 29 feel overwhelmed by AI in the workplace (Pew Research Center, 2025).

57. 91% of workers with a bachelor's degree or higher have heard of workplace AI use, compared to 76% of those with less education, indicating an awareness gap related to education level (Pew Research Center, 2025).

AI and Decision Making

58. AI relies on large amounts of data, but more data does not guarantee a correct decision; statistics show that even with vast datasets (like the 182 zettabytes projected by 2025), accuracy in complex social predictions remains a challenge (Meetanshi, 2025).

59. The quality of information used in AI decision-making can deteriorate, as approximately 57% of online content is now AI-generated or processed, increasing the risk of biased or inaccurate input data (Analytics Magazine, 2025).

60. Over-reliance on AI may impair human decision-making ability; while AI can increase communication efficiency by say, 30% in internal processes, the impact on critical judgment in complex social scenarios is a growing concern (Sustainability Directory, 2025).

61. The price of AI-assisted decision-making may rise as systems become more complex; the global AI market size was an estimated $454.12 billion in 2023, reflecting the significant investment in these technologies (AIPRM, 2024).

62. The quality of decision-making using AI could deteriorate if biases are present in the data or algorithms, with studies showing nearly 70% of studies in certain fields exhibit selective reporting, a potential source of bias in training data (Number Analytics).

63. Products and services offered based on AI decisions could be of lesser quality if AI optimization focuses narrowly; AI can lead to a 25% reduction in costs per unit of output in external communication through marketing ROI, but this efficiency doesn't guarantee product quality or social benefit (Sustainability Directory, 2025).

64. There may be less choice in products and services due to AI-driven decisions that optimize for efficiency or popularity; over 90% of organizations are already using Big Data and AI to drive business decisions, potentially leading to market homogenization (Meetanshi, 2025).

AI and Misinformation

65. Exposure to misinformation increases the odds that a specific person or group will spread that information; approximately 57% of online content is now AI-generated or processed, significantly increasing the volume of content that could potentially be misleading (Analytics Magazine, 2025).

66. Very few victims of misinformation have successfully pursued legal action, highlighting a regulatory gap in the age of AI-generated false content; this legal challenge exists despite the significant reach of social media, used by close to 60% of people worldwide and heavily influenced by AI (Search Logistics, 2025; Analytics Magazine, 2025).

67. Most AI systems feature disclaimers acknowledging the possibility of inaccuracies; however, with over 40% of internet users showing signs of social media addiction and consuming large amounts of AI-influenced content, the effectiveness of these disclaimers is debatable (Search Logistics, 2025; Analytics Magazine, 2025).

AI and Privacy

68. AI privacy risks include the collection of sensitive data and the use of data without permission or consent; in 2022, 2.7 billion people globally did not have internet access, highlighting a significant disparity in who is exposed to AI-related data collection risks (Brookings Institution, 2023; IBM, 2024).

69. Unchecked surveillance and bias are significant AI privacy concerns; in 2022, 53% of the world did not have access to high-speed broadband, another factor in the uneven impact of AI surveillance technologies (Brookings Institution, 2023; IBM, 2024).

70. Data exfiltration and data leakage are potential privacy risks associated with AI systems; approximately 65.28% of individuals use personal cloud storage, contributing to the dispersed data landscape potentially vulnerable to AI-related data breaches (Meetanshi, 2025; IBM, 2024).

Additional Statistics on AI's Social Science Relevance

71. The global data is projected to reach 182 zettabytes in 2025, a vast dataset available for AI analysis to understand social trends (Meetanshi, 2025).

72. By 2025, there will be over 75 billion IoT devices generating data, providing granular insights into social behaviors and environments for AI analysis (Meetanshi, 2025).

73. The healthcare industry is projected to generate 2,314 exabytes of data per year by 2025, creating massive datasets for AI in healthcare social science research and policy (Meetanshi, 2025).

74. Each internet user generates about 1.7 megabytes of data every second, contributing to the ever-growing digital footprint analyzed by AI in social science research (Meetanshi, 2025).

75. Google alone processes 3.5 billion searches daily, providing a huge source of data on human interests and behaviors for AI analysis in social sciences (Meetanshi, 2025).

76. Social media has reached 5.22 billion users worldwide, generating massive datasets for AI-driven social science research on interaction and communication (Meetanshi, 2025).

77. Global social media user identities stood at 5.24 billion at the start of 2025, indicating the immense scale of AI's influence on social interaction and identity formation (We Are Social UK, 2025).

78. 5.78 billion people use a mobile phone today (70.5% of the world's total population), providing widespread access points for AI applications impacting daily life and social research (We Are Social UK, 2025).

79. Almost 4.8 billion people – 58.1% of the global population – now live in urban centers, making urban studies a key area for AI's social impact and the development of smart cities (We Are Social UK, 2025).

80. The global data storage market is projected to grow to $774.00 billion by 2032, highlighting the infrastructure supporting AI and its data needs for social analysis (Meetanshi, 2025).

81. By 2025, 100 zettabytes of data are projected to be stored in the cloud, facilitating large-scale AI data processing for social science insights (Meetanshi, 2025).

82. Approximately 65.28% of individuals use personal cloud storage, contributing to the dispersed data landscape AI interacts with and raising questions about data ownership and access for social research (Meetanshi, 2025).

83. In 2024, the data center market was worth $416 billion, a foundational element for AI development and deployment that has significant implications for power consumption and environmental impact, a social science concern (Meetanshi, 2025).

84. Over 90% of organizations are already using Big Data to drive business decisions, many leveraging AI for analysis with social consequences on employment, consumer behavior, and market trends (Meetanshi, 2025).

85. The richest 22 men in the world have more money than all the women in Africa, an inequality statistic that AI could potentially analyze to identify contributing factors or be used in interventions, though AI could also exacerbate such disparities (Oxfam, 2020).

86. Women and girls put in 12.5 billion hours of unpaid work every day, a social phenomenon that could be better understood or potentially impacted by AI-driven technologies aimed at automating household tasks or analyzing time use (Oxfam, 2020).

87. Poor hand hygiene and sanitation, together with unsafe drinking water, cause 829,000 fatalities from diarrhea every year, a global health issue where AI could play a role in analyzing disease patterns or developing targeted public health campaigns (WHO, 2024).

88. Around 2.2 billion people nowadays reside in water-stressed nations, an area where AI could be used for resource management and allocation, with significant social implications for access and conflict (Development Aid, 2024).

89. In 2022, over 2 billion people remained without access to safely managed water systems, with over half residing in sub-Saharan Africa, highlighting disparities AI could potentially help address through optimized infrastructure or be irrelevant to without equitable access (UNICEF, 2024).

90. In 2022, 8% of people on the planet lacked access to even the most basic hand-washing facilities at home, a public health statistic where AI could inform behavioral change campaigns or be used in monitoring and evaluation (UN, 2024).

91. Around 1.8 billion people obtain their water from off-site sources, impacting daily life and potentially being optimized with AI-driven logistics for water delivery or access points (Development Aid, 2024).

92. 63% of households where water is fetched are the responsibility of women, highlighting a gendered social burden that AI-powered solutions could potentially alleviate through task automation or improved resource distribution (Development Aid, 2024).

93. Student loan debt in the United States totals $1.777 trillion, a massive economic and social factor that AI could analyze for its impact on individual financial well-being, housing markets, and consumer spending (Education Data Initiative, 2025).

94. 42.7 million student borrowers in the US have federal loan debt, representing a large population group whose financial well-being and life choices are influenced by this debt, an area for AI-driven economic and social analysis (Education Data Initiative, 2025).

95. The average length of a marriage that ends in divorce in the US is 8 years, a demographic trend that AI could potentially correlate with social, economic, or psychological factors through large-scale data analysis.

96. AI is being applied in legal systems for predictive analytics in criminal justice, raising questions about fairness and transparency; in 2023, only about 40% of violent crimes in the US were reported to the police, indicating significant 'dark figures' of crime that AI predictions may not account for accurately (Bureau of Justice Statistics, 2024; ResearchGate, 2025).

97. In 2020, the number of homicides in the US increased by almost one-third, the largest single-year increase recorded by the FBI; AI is being explored for crime prediction, but the volatility of crime rates presents a challenge (Undark Magazine, 2024).

98. In 2024, shoplifting in the US increased by 14% compared to 2023 in a study of 29 cities; AI-powered surveillance and predictive policing are being implemented to address such trends, with social implications for privacy and civil liberties (Council on Criminal Justice, 2025).

99. Motor vehicle thefts in the US in 2024 were 53% higher than in 2019 in a study of 29 cities, an area where AI is being used for pattern analysis and prediction, impacting communities and law enforcement strategies (Council on Criminal Justice, 2025).

100. In 2023, only one-third of property crimes were reported to the police in the US, highlighting the limitations of official data for training AI systems aimed at understanding the full scope of crime and its social impact (Bureau of Justice Statistics, 2024).