This is not an official City of Boston website. This is an academic project created by Harvard Kennedy School students.
Methodology
Boston in 2024
Terminology
- Tipping Fee: The cost per ton that municipalities pay to dispose of trash at incineration or landfill facilities. Boston's tipping fee is $103.38 per ton.
- Municipal Solid Waste: Trash collected through Boston's municipal waste management program.
- Household: A residential unit participating in Boston's municipal trash program. 322,000 households participated in 2024.
- Tonnage: The total weight of trash disposed by participating households, measured in tons. Boston disposed of 186,305 tons in 2024, which converts to 372,610,000 pounds.
Formulas
- T = Total tonnage disposed by Boston = 186,305 tons
- H = Number of participating households = 322,000
- F = Tipping fee per ton = $103.38
Calculation
- Total pounds of trash: T × 2,000 lbs/ton = 186,305 × 2,000 = 372,610,000 pounds
- Tons per household: T ÷ H = 186,305 ÷ 322,000 = 0.579 tons per household
- Total incineration cost: T × F = 186,305 × $103.38 = $19,260,210.90
With Pay-As-You-Throw
Terminology
- Average Reduction: How much trash 5 cities reduced per household after 5 years with PAYT = 0.260 tons per household.
- Percent Reduction: How much less trash households threw away = 44.95%.
- Projected Reduction: How much trash Boston could reduce if it does as well as other cities = 83,629.87 tons over 5 years.
Variables
- R = Reduction per household = 0.260 tons
- H = Boston households = 322,000
- F = Cost per ton = $103.38
- Tcurrent = Trash per household now = 0.579 tons
Calculations
- Trash per household after PAYT: 0.579 - 0.260 = 0.319 tons
- Percent reduction: (0.260 ÷ 0.579) × 100 = 44.95%
- Total reduction in 5 years: 0.260 × 322,000 = 83,629.87 tons
- Reduction per year: 83,629.87 ÷ 5 = 16,725.97 tons
- Total savings in 5 years: 83,629.87 × $103.38 = $8,646,580.35
- Savings per year: $8,646,580.35 ÷ 5 = $1,729,131.19
Malden: A Case Study
Terminology
- Per-Household Revenue: How much money each household generates through PAYT bag and tag sales in Malden.
- Revenue Source: The different ways cities earn money from PAYT, like bag sales or trash tag sales.
- Scaling: Using Malden's revenue earned per household to estimate how much Boston could earn.
- Illustrative: This is an example calculation, not a prediction of what will actually happen.
Variables
- M_rev = Total money Malden makes from each PAYT source
- M_hh = Number of Malden households
- B_hh = Boston households = 272,500
- B_rev = Money Boston could make from PAYT
Calculations
- Step 1 - Malden's revenue per household: Divide Malden's total money by households.
- Step 2 - Scale to Boston: Multiply Malden's per-household amount by 272,500.
- Bag revenue example: $47.11 × 272,500 = $12,837,475
- Tag revenue example: $31.26 × 272,500 = $8,518,760
- Important note: This assumes Boston would work like Malden, which may not be true.
Pre-Post Effect of PAYT Within a 5-year Time Period
Step 1: Merge data sources to obtain key information
- Data sources include the Massachusetts Department of Environmental Protection's Municipal Solid Waste and Recycling surveys from 2009 to 2024, inclusive; the Massachusetts Department of Revenue's Division of Local Services; and the Massachusetts Department of Environmental Protection's spreadsheet, "Massachusetts Municipalities with PAYT Programs, June 2025".
- Key information: PAYT adoption year, years pre- and post-PAYT adoption, number of households enrolled in each municipality's trash system, annual tonnage disposed per household.
Step 2: Generate annual tons of waste disposed per household
- Tons per household are calculated by dividing the municipality's total annual disposal tonnage by the number of households served by the PAYT program.
- Tons per household standardizes our metric, as larger municipalities will dispose of more total trash than smaller municipalities.
Step 3: Remove records that would distort the "normal trash" comparison
- Keep only rows of data in which bulky waste is excluded.
- Exclude years that did not record yearly tonnage.
Step 4: Identify the longest pre- and post-period for parallel trends
- Filter data to contain municipalities with data 5 years before implementing PAYT through 5 years after implementing PAYT.
- If one town has 20 years of data and another has 3 years, comparisons may not follow parallel trends; therefore, we may not conclude that adopting PAYT had a statistically significant result.
Step 5: Select Harvard, Chicopee, Heath, Hinsdale, and Peru
Step 6: Create a time series chart
- IMPORTANT NOTE: Our time of adoption begins at -1 (the adoption year); Year 0 is the implementation year; Year 1 is one year after implementation.