EU Climate Policy Measure Records — EEA PaMs

Keyless. Pay per record. Every national climate policy and measure EU countries report — by sector, instrument and status.

This actor turns the European Environment Agency (EEA) EU Policies and Measures (PaMs) database into clean, per-record data — the national climate policies and measures that EU member states report under the EU Governance Regulation. Each run reads the EEA's keyless DiscoData SQL service and delivers one row per policy or measure, structured for climate-policy and market analysis, reusable with acknowledgement of the EEA, with no personal data of any kind.

What this is, in one paragraph

Under the EU Governance Regulation (EU 2018/1999), every member state reports the policies and measures it uses to cut greenhouse-gas emissions — from carbon taxes to building-refurbishment programmes — each classified by instrument, sector, status and expected effect. This actor reads that reported inventory and delivers one record per policy or measure: the country, the policy/measure id and NAME, whether it is a single measure or a group, its status of implementation and period, the TYPE of policy instrument, the related Union policy, the SECTORS and OBJECTIVES affected, the GHGs affected, the projection scenario, and the total 2030 GHG reduction — all carried as filed. It is the climate-policy inventory layer of Europe's emissions governance.

Who buys this and for what job

• Climate-policy analysts and think tanks comparing the policy mix across member states.
• Carbon-market and ESG teams mapping national instruments by sector and status.
• Consultancies and researchers benchmarking expected 2030 reductions by policy.
• Data engineers who want the EEA PaMs inventory as clean rows from a keyless source.

EEA licence — reuse with acknowledgement

One licence rider travels on every record. EEA data may be reused, including commercially, provided the source is acknowledged: "Source: European Environment Agency (EEA)." The PaMs database is reported by member states under the EU Governance Regulation; where third-party content is marked, it keeps its own terms. These are reported classifications as filed — not an independent policy evaluation.

Policy-measure grain — no person data

The unit of every record is a reported policy or measure — a policy and its attributes, never a person. PaMs reporting is at policy-measure level: the query keeps only the structured policy metadata (country, name, instrument, sector, status, objectives, GHGs, projected effect). The free-text quantified-objective description and the "entities responsible for implementing the policy" field — which can name organisations or individuals — are EXCLUDED at field selection, so no free narrative and no responsible-entity name is emitted. A person-key guard runs on every record as a backstop.

A note on scale, honestly

The source table holds 3,887 rows as verified by an exact COUNT(*) at build time, which matches the planning index for this category exactly. It spans reporting countries and the policies and measures each reports. The live count above is authoritative.

Sample output

Real rows from a live run of this actor (first 5 rows, selected columns).

One full record from the same run, exactly as delivered:

{
  "record_id": "1266:1",
  "report_id": 1266,
  "country": "Switzerland",
  "policy_measure_id": "1",
  "policy_measure_name": "First CO2 Act (1999)",
  "single_or_group": "Single",
  "status_of_implementation": "Expired",
  "implementation_start": "2000",
  "implementation_finish": "2012",
  "policy_instrument_type": "Regulatory",
  "related_union_policy": null,
  "sectors_affected": "Energy consumption; Transport; Energy supply",
  "objectives": "Energy supply:Increase in renewable energy in the heating and cooling sector; Energy supply:Switch to less carbon-intensive fuels; Energy supply:Reduce energy dependency from third countries; Energy consumption:\t Efficiency improvements of buildings; Energy consumption:Efficiency improvement in services/tertiary sector; Energy consumption:Efficiency improvement in industrial end-use sectors; Transport:Efficiency improvements of vehicles; Transport:Low carbon fuels",
  "ghgs_affected": "Carbon dioxide (CO2)",
  "projection_scenario": "With additional measures; With existing measures",
  "total_ghg_reduction_2030_kt_co2eq": null,
  "source": "EEA EU Policies and Measures (PaMs) database — national climate policies and measures",
  "source_url": "https://discodata.eea.europa.eu/"
}

Pricing

Event	Free plan	Bronze	Silver	Gold / Platinum / Diamond
climate_policy_measure_record	$0.05	$0.045	$0.04	$0.0335

Delivered before charged. Blocked runs and empty results cost nothing.

Input

Field	Type	Default	Description
country	string	—	Optional full country name (e.g. Germany, France).
status	string	—	Optional status filter (e.g. Implemented, Adopted, Planned, Expired).
maxRecords	integer	500	Ceiling on records delivered and billed.

Output

One JSON object per policy or measure. Representative example (values as reported):

{
  "record_id": "1266:1",
  "report_id": 1266,
  "country": "Switzerland",
  "policy_measure_id": "1",
  "policy_measure_name": "First CO2 Act (1999)",
  "single_or_group": "Single",
  "status_of_implementation": "Expired",
  "type_of_policy_instrument": "Economic",
  "sectors_affected": "Cross-cutting",
  "ghgs_affected": "CO2",
  "total_ghg_reduction_2030_kt_co2eq": null,
  "source": "EEA EU Policies and Measures (PaMs) database — national climate policies and measures",
  "observed_at": "2026-08-30T00:00:00Z"
}

An unbilled RUN_RECEIPT records the robots check, the filters, rows seen and delivered, and whether charged equals delivered.

Field reference

Each record is one reported policy or measure. Identity: record_id, report_id, country, policy_measure_id, and policy_measure_name. Classification: single_or_group, status_of_implementation, implementation_start, implementation_finish, policy_instrument_type, related_union_policy, sectors_affected, objectives, ghgs_affected, and projection_scenario. Effect: total_ghg_reduction_2030_kt_co2eq. Provenance travels on every record: source, source_url, licence, attribution, disclaimer, and observed_at.

How a run works

A run first re-reads the source host's robots posture from your runtime — the EEA DiscoData host — and stops at the door if that ever changes. It pages the EEA PaMs database (filtered to your optional country and status), ordered by the report id, and flattens each row to one record — carrying every classification verbatim, never anything person-shaped and never the free-text description or responsible-entity name — delivered before it is charged, so a blocked or empty run costs you nothing. The actor stops at your maxRecords ceiling and records charge_equals_delivered in the receipt.

Coverage and scope

The inventory holds 3,887 rows across reporting countries, instruments, sectors and statuses. Because each record carries the country, the policy_instrument_type, the sectors_affected, and the status_of_implementation, segmenting by country, instrument, sector, or status is straightforward. Pull one country, one instrument type, or the whole inventory to seed a climate-policy warehouse.

Working with the data

The inventory is a comparison layer, and the fields make it actionable. Because every record classifies a policy by instrument, sector, status and expected 2030 effect, an analyst can compare the policy mix across member states in one group-by, rank countries by the number of implemented economic instruments, and separate the measures with a quantified 2030 reduction from those reported without one.

Cost guidance

One climate_policy_measure_record per delivered row: cost = rows delivered × your plan's per-record price. Scope with country and status to keep runs bounded. 1,000 rows is $50 (Free) / $33.50 (Gold).

Honest limitations

• As reported. Classifications and expected effects are as filed by member states; this actor reformats, it does not audit or recompute.
• Description excluded. The free-text quantified-objective description and the responsible-entity field are not selected, by design.
• Sparse effects. Many policies are reported without a quantified 2030 reduction; those fields are null, carried as filed.
• Acknowledge the EEA, and note there is no person data of any kind.

Differentiation

Its specific job is the EU national climate policies and measures inventory.

The NexGen Signal family

Part of the NexGen Signal family of pay-per-record data products:

• EU Water Abstraction Records — EEA
• EU Renewable Freshwater Resource Records — EEA
• EU Waterbody Quality Records — EEA
• EU Historical Flood Event Records — EEA
• EU Protected Site Positive Impact Records — EEA

Source: European Environment Agency (EEA), EU Policies and Measures (PaMs) database, reported under the EU Governance Regulation (EU 2018/1999) (discodata.eea.europa.eu). EEA data may be reused, including commercially, provided the source is acknowledged: "Source: European Environment Agency (EEA)"; marked third-party content keeps its own terms. Policy-measure grain; the free-text description and responsible-entity field are excluded; no contact or named-individual field is selected or emitted, no natural-person data of any kind. Reported classifications as filed, not a policy evaluation.