Drivers | Pressures | State | Impacts | Responses |
Socio-economic context and characteristics of growth (OECD, Green Growth indicators: 14) Environmental and resource productivity of the economy (OECD, Green Growth indicators: 12) Socio-Economic indicators (OECD: 8) Circular Economy indicators (OECD: 8, EU: 15) | Environmental indicators (OECD: 13) Emissions to environment (SDG: 1) Waste management (SDG: 1) Raw material extraction) (SDG: 1) | Environmental indicators (RSCAP: biota (6), beach litter (10), seafloor litter (5), micro-plastic (5), water column/or floating litter (3)) Natural asset base (OECD, Green Growth indicators: 10) Marine and coastal environment (SDG: 1) Waste generation and management (SDG: 2) | Impacts on biota (RSCAP: 6) Environmental dimension of quality of life (OECD, Green Growth indicators: 4) Ecosystem health (SDG: 2) | Proof of action implementation (RSCAP: 10) Economic opportunities and policy responses (OECD, Green Growth indicators: 19) Tracking progress (New Plastic Economy Global Commitment: 5) Policy and law (SDG: 1) Waste prevention measures and management (Directive 2008/98/EC, use of indicators: 3) |
Action Plan | Biota | Beach litter | Seafloor litter | Microplastics | Water column and/or floating litter | Implementation actions defined |
Regional Plan on Marine Litter Management in the Mediterranean | X | X | X | X | X | X |
PERSGA – Regional Action Plan for the sustainable Management of Marine Litter in the Red Sea and Gulf of Aden | X | X | X | X | ||
PAME- Regional Action Plan on Marine Litter in the Arctic* | X | X | X | X | ||
OSPAR – Regional Action Plan for Prevention and Management of Marine Litter in the North-East Atlantic | X | X | X | X | ||
Black Sea Marine Litter Regional Action Plan | X | X | X | X | X | X |
HELCOM Regional Action Plan for Marine Litter in the Baltic Sea | X | X | X | |||
Commission for the Conservation of Antarctic Marine Living Resources | X | X | ||||
NOWPAP Regional Action Plan on Marine Litter | X | X | X | |||
Western Ocean Regional Action Plan on Marine Litter (WIO-RAPMaLi) | X | X | ||||
Regional Action Plan on Marine litter Management for the Wider Caribbean Region 2014; | X | |||||
SPREP – Pacific Regional Action Plan Marine Litter | X | |||||
ASEAN Framework of Action on Marine Debris | X | |||||
Abidjan Convention | X | |||||
TEHERAN Convention – Caspian Sea | X |
Geographical scale | Examples of databases | Users and types of data |
Global | Global Partnership on Marine Litter (GMPL) | UN organisations, e.g. UN Environmental Programme (UNEP), International Maritime Organization (IMO), Food and Agricultural Organisation (FAO) |
Regional | EMODNET | EU |
ICES | Research and monitoring projects, data on seafloor litter | |
OSPAR | Regional Seas Convention, Research and monitoring projects, data on beach litter and seabirds | |
Marine Litter Watch | Citizen science data | |
LITTERBASE | Research data | |
National | Marine Debris Monitoring and Assessment Programme (MDMAP) | US Environmental Protection Agency; US National Oceanic and Atmospheric Administration (NOAA) |
Local | Data collected by cities and municipalities, e.g. on mismanaged waste, plastic leakage from wastewater and stormwater | |
Model key figure | Amount for 2015/2016 [million metric tonnes] | Reference |
Global plastic use | 388 | Ryberg et al. (2019); UNEP (2018) |
413 (460 in 2019) | OECD (2022a; 2022b) | |
Global plastic waste generation | 161 | Ryberg et al. (2019); UNEP (2018) |
220 | Lau et al. (2020); SYSTEMIQ & The Pew Charitable Trusts (2020) | |
308 (353 in 2019) | OECD (2022a; 2022b) | |
Global total mismanagement of plastic waste | 41 | Ryberg et al. (2019); UNEP (2018) |
91 | Lau et al. (2020); SYSTEMIQ & The Pew Charitable Trusts (2020) | |
74 (82 in 2019) | OECD (2022a; 2022b) |


Region | Plastic waste generation [Mt] | % of total | Plastic waste generation [kg/cap] |
OECD America | 91 | 26% | 161 |
OECD Europe | 67 | 19% | 114 |
China | 65 | 19% | 47 |
Other Asia | 44 | 12% | 18 |
Middle East and Africa | 33 | 9% | 21 |
Other America | 19 | 6% | 43 |
Eurasia | 19 | 5% | 55 |
OECD Pacific | 14 | 4% | 68 |
Total | 353 | 100% | 46 |


Indicator | Relevance | Challenge | Potential solution |
Tyre abrasion | Significant source of microlitter in the environment | Methodological challenges | Inclusion in an integrating indicator such as wastewater or riverine inputs |
ALDFG* | Important source of plastic in the marine environment, risk of ecological impacts | Heterogenous parameter, no harmonized reporting system | Already included in beach litter |
Container losses | Increasing maritime shipping | No direct link to plastic pollution | Recorded as a general marine pollution issue, not limited to plastics |
Wastewater effluents | Source of (micro-)plastics connecting land and sea | Data on sludge needed for mass balance of plastic emissions, costly | Connection to other wastewater measurements |
Riverine inputs | Significant input pathway into the marine environment, connecting land and sea, potential for alignment with beach litter measurements | No standardization, costly | Standards from beach litter monitoring could be applied |
DPSIR | Indicator | Relevance | Measurability | Comprehensiveness |
Drivers | Plastic production | Medium, “Plastic use efficiency” might be more relevant than plastic production, but more difficult to measure. | High, would need to be recorded globally | High |
Plastic use | Medium, needs to combine records on plastic production with export and import data | High | ||
Pressures | Plastic recycling rate | Proxy indicator for mismanaged waste, but with caveats | High, would need to be recorded globally. Needs additional information on other types of management, e.g., incineration, for correct interpretation | Medium, proxy indicator for losses to the environment, uncertainty about other types of waste management |
Plastics in wastewater | High, would connect land-based sources with the aquatic environment | High, could be combined with other parameters measured within wastewater epidemiology. Needs information on domestic sources (wastewater) vs. road run-off (stormwater) for correct interpretation | Medium, no direct connection with the marine environment. | |
Riverine inputs | High, could include macro- and microplastics and would connect land-based sources with the marine environment | Medium, may be costly | Medium, processes in the freshwater environment can influence levels in the marine environment | |
State | Beach litter | High, integrates mismanaged waste and plastic emissions without management measures | High, relatively well-standardized, no need for advanced equipment | High, but difficult to extrapolate from individual measurements |
Floating microplastics | Medium, high fluctuation | Medium, relatively well-standardized, requires equipment for sampling and analysis | Medium, misses particles that do not float (e.g., tyre abrasion) | |
Impacts | Seabirds/Turtles | High, can provide links to food webs | Medium, relatively well-standardized, requires access to samples and equipment for analysis | Medium, related to animal ecology, represents micro- and mesoplastics |