SSOL Calculation Breakdown

The Rules page defines how SSOL works in principle. This page walks through the calculation step by step - from establishing the geographic and transportation basis, through identifying and pricing each component, to arriving at the hourly minimum wage. You can also experiment with a simplified version using the Calculator.

Step 1 - Establish the commute radius

Begin at the employer's clock-in location. Using real-time traffic data at the shift start times the employer actually uses, identify the area reachable within 25 minutes by the applicable transportation method.

The transportation method is not declared - it is determined by operational reality. If shifts end at 11pm and buses stop running at 9pm, the bus is not viable. If the employer has established satellite clock-in locations in lower-cost neighborhoods with shuttle service to the worksite, the radius is centered on those locations. If the job requires a personal vehicle, that determines the method and the radius.

The resulting radius defines the geographic boundary within which all SSOL component prices must be sourced.

Step 2 - Identify each component

Within the commute radius, identify what is actually available for each SSOL category:

Step 3 - Apply the price baseline methodology

For each component, the price used is not the cheapest available and not the average. It is the lowest price at which sufficient supply exists to meet workforce demand, measured at the highest point during the prior quarter.

A few apartments listed below market rate do not move the housing baseline, because a few units cannot house the workforce. A single week of discounted gasoline does not move the fuel baseline, because the quarterly high reflects what workers actually paid during the high-cost period. The methodology prevents gaming through temporary discounts and prevents distortion through outlier pricing in either direction.

All prices used must be publicly available without any special conditions - no club memberships, no loyalty cards, no autopay discounts, no promotional rates. The price anyone can pay today, at the counter, without signing up for anything.

Step 4 - Normalize to annual costs

Convert every component to an annual cost:

Sum all components to arrive at an annual pre-tax living cost.

Step 5 - Add taxes and compute the hourly wage

Apply the combined tax rate - federal income, state income, local income, Social Security, Medicare, and unemployment insurance - to the pre-tax total to determine what gross wages must be to leave the worker with enough take-home pay to cover all expenses.

Divide the resulting annual gross wage requirement by 2,000 hours (40 hours per week, 50 weeks per year) to arrive at the hourly SSOL minimum wage for this employer in this location.

The formula:
Annual living costs ÷ (1 − combined tax rate) = Required annual gross income
Required annual gross income ÷ 2,000 = SSOL hourly minimum wage

Step 6 - Publish and distribute

The SSOL wage and its complete breakdown are published on the government-maintained SSOL portal. Employers retrieve their specific calculation from the portal each quarter and incorporate it into their payroll systems.

Each worker receives a printed or digital breakdown at hiring and at every quarterly update. At the top is the hourly minimum wage. Below it, every component is itemized with its dollar amount - this much for housing, this much for food, clothing, transportation, healthcare, and so on down the list.

The breakdown does not stop at dollar amounts. It tells the worker exactly where to go. If the housing component is $450 a month, the document lists the specific properties available at that price and how to contact them. If the transportation component covers a car payment, it lists qualifying models and dealerships. Every line item is actionable. A worker who follows the document exactly will be able to cover every basic need on the SSOL list working 2,000 hours a year.

Where the employer has negotiated a Part 3 substitution - a better health plan for the same cost, a store card worth more than the cash equivalent - that offer appears next to the corresponding line item. The worker reviews each offer and decides whether to accept or decline. Those decisions hold until the next quarterly update, at which point the worker can revisit any of them.

Every element of the calculation is publicly auditable. The transparency is not just between employer and employee - the full methodology and all input data are available for anyone to inspect.

Example: the water company scenario

A small town was looking to lower its SSOL number to attract new employers. The town owned the water utility, where the average residential bill was $30 per month - contributing $360 per year, or $0.18 per hour, to the SSOL calculation.

After accounting for billing, postage, collection, and processing costs, the town was netting about $22 from each bill - the administrative overhead was consuming nearly a quarter of the revenue. The town decided to make water free up to 1,200 gallons per month, which covered the expected usage within the SSOL standard and collect the revenue with a small increase to heavy users.

For a company with 500 full-time employees - 1,000,000 worker hours per year - removing the $0.18/hr water component reduces annual labor costs by $180,000. And that factor cascades through all the employers in the town. By shifting the cost a little, the town lost a little reveune but it gained a permanent competitive advantage in attracting labor-intensive employers.

This is the SSOL mechanism working exactly as designed. A community identified a way to reduce an essential cost, acted on it, dropped its SSOL, and became more attractive to employers. No tax incentive was needed. No one-time check was written. The improvement is permanent, compounding, and visible in every quarterly wage calculation.

Notes on the data infrastructure

The data needed to calculate SSOL for any location in the United States largely already exists across federal agencies. The Bureau of Labor Statistics tracks component costs regionally. HUD publishes Fair Market Rents by county. The Energy Information Administration tracks utility and fuel prices. CMS publishes health insurance plan costs by county. The Census Bureau's American Community Survey covers housing availability and costs at the zip code level.

SSOL does not require building new data collection systems. It requires integrating and redirecting data that is already collected, producing a unified output per employer location rather than parallel reports that no single agency currently connects.