A Statistical Analysis of Kern County Bankruptcy and Divorce Filings in Different Economies
CSEF · 2011 Behavioral & Social Sciences
Overview
Objectives/Goals The objective of this analysis was to determine if bankruptcy and divorce filings in Kern County follow national trends which indicate there are fluctuations in the number of filings in good as opposed to poor economies. Methods/Materials Economic trends over the past ten years in Kern County were examined. 2004 was determined to be a "good" economy, and 2008 was determined to be a "poor" one. Chapter 7 bankruptcy filings were obtained from the Eastern District of CA, and divorce filings were obtained from the Kern County Superior Court...a long and tedious process. Couples who filed for divorce were entered back into the bankruptcy court website. This process determined the number of couples who filed for both divorce and bankruptcy. Results In 2004, there were 2,816 chapter 7 bankruptcy filings. There were 2,482 divorce filings. 291 couple filed both. In 2008, there were 2,903 chapter 7 bankruptcy filings. There were 2,296 divorce filings. 453 couples filed both. Conclusions/Discussion The numbers in the study support the hypothesis and national historical trends. In a good economy, bankruptcy rates fall and divorce rates rise. In a poor economy, bankruptcy rates rise and divorce rates fall. An interesting finding is in the numbers that file for both divorce and bankruptcy. Between 2004 and 2008, there was a 64% increase. According to local family law attorneys and bankruptcy attorneys surveyed for this project, most agree bankruptcy doesn't save marriages by eliminating debt. Discharging debt makes the divorce process less complicated.
Summary statement
This project combines research, analysis of data, and mathematics to identify correlations in the subject.
Help received
My dad was instrumental in teaching me how to obtain court documents.
Competition history
- CSEF 2011
Resources
Related projects
CSEF · 2007
Red County, Blue County: Are There Correlations Between a County's Demographics and How It Votes?
CSEF · 2016
Currency Movement Projections and Possible Societal Applications Using Dollar Bill Tracking Data
ISEF · 2021
The Analysis of the Differential Impacts of Material and Social Stressors on Mental Health During the COVID-19 Pandemic?
ISEF · 2014
Using Google Trends to Enhance Predictive Models of Mortgage Delinquency to Mitigate Risk in the Loan Lending Process
CSEF · 2015
Money and the Mind: How Does Someone's Economic Situation Affect Their Moral Decision Making?
CSEF · 2017
Skirts, Music, and the Economy: An Investigative Study on the Correlation Between Music Tempo and GDP Rate
CSEF · 2011
Swinging Moods and Swinging Stock Markets
CSEF · 2009
Global Shock: A Mathematical Model to Ascertain Correlation in Worldwide Stock Markets
Closest projects by meaning, across every fair and year in the corpus.
Browse more like this
Source: California Science & Engineering Fair public projects