What is a Credit Score?
A credit score is a 3-digit number that reflects the likelihood that a consumer will repay his debts. With so many scoring methods used to determine your credit score, the variety of models means your score can vary several points, depending on whose model is used and what type of business (department store? car dealership? bank?) is asking for it.
The most recognized credit score is the FICO score, which comes from the Fair Isaac Company. FICO has more than 50 different versions of your score that it sends to lenders. The score may change, depending on what company asks and what was important to that company in calculating your score.
That means your FICO score for a department store might be slightly better (or worse) than your FICO score for a bank considering you for an auto loan. And that will be slightly different from your FICO score for insurance, which could vary from your score for a mortgage loan.
It’s also possible the inquiring company could use your Vantage Score, a Community Empower (CE) score or one from any of three of the major credit reporting bureaus, Experian, Equifax and TransUnion, to judge your credit worthiness.
What is a Credit Scoring Model?
Credit scoring models are statistical analysis used by credit bureaus that evaluate your worthiness to receive credit. The agencies select statistical characteristics found in a person’s credit payment patterns, analyze them and come up with a credit score.
Scoring calculations are based on payment record, frequency of payments, amount of debts, credit charge-offs and number of credit cards held. A weight is assigned to each factor considered in the model’s formula, and a credit score is assigned based on the evaluation.
Scores generally range from 300 (low end) to 850 (top end).
Lenders use credit scores to help determine the risk involved in making a loan, the terms of the loan and the interest rate. The higher your score, the better the terms of a loan will be for you. There are different credit score models, which emphasize varying factors.
FICO Scoring Model
The FICO scoring model is considered the most reliable because it has the best track record. It has been around since 1989 and there have been numerous revisions over the last three decades to take into account the changing factors that determine an accurate credit score.
The “classic” FICO scoring model gives consumers a number between 300 and 850. A score under 600 is considered poor. A score above 740 is considered excellent. In between is considered average to above average.
The latest scoring model is FICO 9 and it debuted in 2014. The major difference in the FICO 9 model is that it puts less weight on unpaid medical bills.
Why the change? The thinking behind FICO 9 indicated that unpaid medical debt was not necessarily an indicator of financial health. An individual could be waiting on insurance payments before paying the debt or they might not even know that a bill was sent to collections. In some cases, this factor could cause the credit score to rise by as much as 25 points.
More changes were added in 2017 when Equifax, Experian and TransUnion removed all civil judgment data and many tax lien records from credit files. But that meant credit-score improvement for only about 6% of consumers, FICO said, because those changes largely occurred on accounts that already contained other derogatory information.
In another 2017 change, collection agencies and debt buyers were prohibited from reporting medical debts until they were 180 days old.
FICO 9 succeeded FICO 8, which came out in 2009 and is the version most heavily used by the lending industry. FICO 8 penalized consumers for spending close to their credit limit every month and offered leniency to those who made an “isolated” late payment, meaning one that arrived more than 30 days late.
When FICO releases a new version of its scoring model, lenders have a choice: Upgrade or stay with the version they have. Many lenders opt to stay with the version they have because it can be expensive to upgrade.
FICO compares it to a consumer upgrading a computer operating system every time a new version of Windows is released. You may be satisfied with Windows XP or you may have upgraded to Windows 8 or 10.
The same thing happens with businesses and lenders who use the FICO score. Some lenders are still using FICO 5. Some have upgraded to FICO 9. The only way to know the FICO score meaning is to ask the lender you are dealing with.
How Are FICO Scores Calculated?
Regardless of which FICO model is used, there are five factors that mostly influence a “classic” FICO score and help to define your credit score:
- Payment history
- Credit utilization
- Credit history
- Types of credit
- New credit
There are many sub-categories calculated within each area before arriving at a final score. Here is a look at each category and the weight it carries in determining your score.
Payment history counts for 35% of your score. If you make payments on time every month and don’t have negative public records for lawsuits, liens, bankruptcies or foreclosure, you will do well in this category. Late payments are a negative. The later the payment — a month versus a week – the more your score gets penalized.
Credit utilization counts for the next 30% of your FICO score. Helpful Tip: Don’t spend close to your credit limit, even if you intend to pay off the bill every month. FICO likes you to use 30% or less of the available credit. If you have a $1,000 limit on your credit card, that means limiting spending to less than $300 a month.
Credit history is the third factor, counting for 15%. The longer you own a credit card, the more it improves your score, provided you pay it off every month.
Credit use is worth 10%. FICO wants to know how many forms of credit you have (credit cards, auto, mortgage, utilities, etc.) and how well you keep up with them. For a healthy credit score, it’s always helpful to have a variety of different credit cards and loans on your credit report. But don’t apply for too much credit too fast. That’s a red flag for the credit bureaus, sending a signal that you might be desperate for credit.
The last category, new credit, is the final 10% of the equation. It’s OK to apply for a credit card, but if you apply for several at the same time, it may be an indication you’re using one to pay off others and that is a negative. The same logic applies to asking for a car loan at the same time you ask for a home loan. It’s better to spread those applications out over time.
Vantage Score Model
The VantageScore model was introduced in 2006 when the three major credit reporting bureaus — Experian, Equifax and TransUnion – decided to offer FICO some competition in the credit score business.
The VantageScore model looks at familiar data — things like paying on time, keeping credit card balances low, avoiding new credit obligations, bank accounts and other assets — to calculate its score.
High Weight: Payment History (40%) — Whether you pay on time is the top predictor of risk. Remember that late payments are a negative that can appear on your credit report for seven years.
Extreme Weight: Age And Type Of Credit (21%) — What’s the mix between your length of credit history and your account. Are you paying on a 30-year mortgage at the same time you’re paying on a 5-year car loan and monthly credit card bills? If you can handle all that – with on time payments! – you will do very well in this category.
Extreme Weight: Credit Utilization (20%) — It’s dividing your balances by your available credit. It’s recommended to keep your utilization under 30%.
Medium Weight: Total Balances (11%) — It’s your total debt (both current and delinquent. Similar to credit utilization, by lowering your debt, it gives you a higher chance of increasing your credit score.
Low Weight: Recent Behavior (5%) — It deals with newly opened accounts and the number of hard inquiries. A high number is not a good sign for your credit report.
Extremely Low Weight: Available Credit (3%) — It’s the amount of credit you have available to use. Keep in mind that the VantageScore model is used by Credit Karma, a service that provides your free credit score and report, along with credit monitoring and advice.
VantageScore saw some scoring changes in 2017, mostly in the area of “trended data.’’ A person who is paying down debt is now likely to be scored better than a person who is making minimum payments and slowly accumulating credit card debt.
Other factors unique to VantageScore include ignoring collections — paid or unpaid — less than $250 and relief for accounts negatively affected by natural disasters. The VantageScore scoring scale that is the same as FICO’s 300–850, but it includes a letter grade (A through F) to help you better understand your score.
The VantageScore uses information from all three credit reporting bureaus, but weighs certain factors more heavily or less heavily than the FICO algorithm. Thus, the scores should be similar, but rarely identical.
Other Credit Scoring Models
Outside of the conventional and well-known outlets, there are several other credit scoring models.
TransRisk — It’s based on data from TransUnion and determines an individual’s risk on new accounts, instead of existing accounts. Because of that specialized nature, there’s not much information available about the TransRisk score. Accordingly, it isn’t utilized by many lenders. It has been reported that an individual’s TransRisk score has generally been drastically lower than their FICO score.
Experian’s National Equivalency Score — It assigns users a score of 0-1,000 — with the typical criteria of payment history, credit length, credit mix, credit utilization, total balances and the number of inquiries — but Experian has never publicized the score’s criteria or weight. The scoring seems counterintuitive for consumers accustomed to the FICO system. In Experian’s system a score of 100 means a 10% chance that at least one account will become delinquent in the next 24 months, while a score of 900 means a 90% chance of that. There is an alternative scoring method of 360 to 840 (840 is good, 360 is bad, making it more compatible with the FICO model.
Credit Xpert Credit Score — It was developed to help businesses approve new account candidates. It inspects credit reports for ways to raise its score quickly or detect false information. By improving those scores, that should lead to more loan approval for customers.
CE Credit Score — The creator of this scoring model (CE Analytics) was unhappy with the current model of customers paying for their credit score and companies hiding how their credit scores were revealed. This is a free service, available at Quizzle, and it’s meant to create a free, transparent and accurate credit score. There’s scoring from 330 to 830. The model’s sister company, Quicken Loans, uses it in credit determinations.
Insurance Score — Here’s a fun fact: Insurance companies use an insurance credit score to determine your risk as a customer. Insurance scores range from 200-997 — generally, a good score is 770 or higher, while 500 or lower is considered poor — but it varies in different types of insurance. It’s wise to monitor your insurance score because that’s how your premiums are determined.
Industry-Specific Credit Scores
FICO drills deeper into financial data and helps lenders predict how you will do with specific types of loans, such as a mortgage or auto loan or credit cards.
The three major credit bureaus that provide data to FICO all want industry-specific scores as well. Experian and Equifax provide 16 different FICO credit scores to lenders, while TransUnion has 21. More are added each year.
Industry-specific scores are optimized for specific credit products like auto loans or credit cards. FICO uses the same base of information available in its “classic” scores, but fine-tunes the data based on industry-specific risk behavior.
So, if you are buying a car, the dealership or bank offering you a loan may want to know your credit history for paying off similar loans on a monthly basis. They could factor in past car loans, credit card payments or rent and utility payments to judge the risk they’re taking.
The scoring model for industry-specific scores and “classic scores” has a major difference. The range for industry-specific scores is 250-900, while the range for classic scores fall is 300-850.
Scoring Models Keep Secrets
Companies that develop scoring models prefer to keep details of the models behind closed doors because they consider them privately held and because they make money by selling results of the models. However, given the information that banks and credit card companies ask on their applications, it is not difficult to interpret some factors that weight heavily on your score.
Among the factors considered are:
- Bankruptcies, collections, missed payments and foreclosures listed on your credit report.
- Your occupation and your time at your current job.
- Whether you own or rent your residence.
- Amount of time living at your current location.
- The number of inquiries into your credit over a period of time.
- The balances of your used credit to your available credit.
- Your age.
- The length of your credit report.
- The length of time your credit history has been in the bureau’s database.
Credit Scoring Model Practice Changes
Credit scoring models were first utilized in the credit industry more than 50 years ago. They were developed as a way to determine a repeatable, workable methodology in administering and underwriting credit debt, residential mortgages, credit cards and indirect and direct consumer installment loans.
Early models were based on a greater degree of subjectivity rather than statistical analysis. That resulted in discriminatory and fraudulent loan and credit practices. Over time, a number of state and federal protections were put into place to reduce the subjectivity and make the process fair, equitable and transparent.
Two of the protections are the federal Fair Credit Reporting Act and the Equal Credit Opportunity Act, which outlaw the consideration of marital status, race, religion or sex as factors in making credit-scoring decisions.
Benefits of Credit Scoring Models
Speed is the major benefit to consumers of having credit scoring models. Lenders can evaluate thousands of applications quickly and impartially. Decisions on mortgages, car loans or extended limits on credit cards can be handled in days or even minutes.
In fact, the consistency of data in scoring models allows for financial statements, credit ratings and credit account statuses to be evaluated quickly and accurately. It also reduces the possibility for human error. This helps customers and their orders get processed more quickly.
On the flip side, it reduces bad debt losses for companies. Otherwise, those companies could make bad decisions in whether to extend credit to a customer. Businesses can specify the factors they want considered in the credit decision process. They know almost immediately if they are dealing with a high-risk or low-risk customer.
That has allowed the businesses to operate more efficiently and reduce the cost of vital services like mortgages, car loans and credit cards.
Credit scores allow consumers access personal loans and help financial institutions control allocation of risk and costs with their customers. Businesses can better execute transactions with customers when they have access to objective information for evaluation of a customer’s creditworthiness.
Consumers also benefit when they are rewarded for on-time, responsible payment of debts that improve their credit score. This gives them access to the credit they need to take advantage of products in the market. The scores also serve as an incentive for good financial decision making.
Two Types of Credit Scoring Models
While there are a number of credit scoring models utilized to determine a person’s credit worthiness, there are essentially two distinct types of scoring models that can be validated statistically.
These models will either use a statistical or judgmental scoring analysis. In each case, the end credit score result can vary as well.
A statistical scoring model utilizes multiple factors from one or a number of credit reporting agencies, correlates them and then assigns weights to each factor. The model does not consider the individual judgments or experiences of any credit officials.
A judgmental scoring model considers an individual or organizational financial statement, payment history, bank references and even the credit official’s own previous experience in handling its products and services. By including these elements in someone’s credit history, a subjective judgment is given more weight in determining the credit score rating scale.