City building energy and emissions histories
Data Stockroom, a product of LaunchNav LLC — 100-row sample

NYC and Seattle building energy disclosures with energy use, emissions, floor area, reporting-quality flags, filing history and linked NYC tax-lot records.

Processed on: 2026-10-04
Period: ASOF2026-10-03 (as of 2026-10-03)
Primary source snapshot: 2026-10-03

CONTENTS
sample.csv: 100 real rows, all 28 columns from energy_history.csv.
Repeatable selection; not a statistically representative sample. The legend describes the full product; companion data tables are only in the full download.

FEATURES AND PREPARATION
- Numeric metrics preserve zero and expose reported missing-value markers.
- Native disclosures retain quality and estimate flags, definitions and reporting dates.
- NYC lot and building identifiers are linked only when the complete reported identifier field can be parsed reliably.
- Exact-BBL PLUTO attributes include assessed/exempt values, zoning/overlays, use-specific areas, historic designations and dated flood-map flags.

SOURCES AND ATTRIBUTION
NYC Local Law 84 energy disclosure — 2026-10-03
https://data.cityofnewyork.us/Environment/NYC-Building-Energy-and-Water-Data-Disclosure-for-/5zyy-y8am
Reported NYC energy and water disclosure facts for 2022-2024; edition date is local file capture. Attribution: Source: City of New York, NYC Open Data LL84 disclosures; independent normalization and selection, no endorsement.
Seattle Building Energy Benchmarking — 2026-10-03
https://data.seattle.gov/Built-Environment/Building-Energy-Benchmarking/teqw-tu6e
Public Seattle annual building energy facts for 2015-2025; edition date is local file capture. Attribution: Source: City of Seattle Building Energy Benchmarking; independently harmonized, no endorsement.
NYC PLUTO taxlot reference — 2026-10-03
https://data.cityofnewyork.us/City-Government/Primary-Land-Use-Tax-Lot-Output-PLUTO-/64uk-42ks
Separately captured NYC taxlot factual reference; edition date is local file capture. Attribution: Source: NYC Department of City Planning, PLUTO; selected exact BBL matches, no endorsement.

USING THE FILES
legend.csv defines the columns, units, formats and blank-value meanings.
CSV is UTF-8 with headers. Import identifiers, ZIP codes and phones as text. Blank differs from zero or false.
Columns of type json contain JSON text within CSV cells.
LICENSES.txt contains source attribution and applicable notices.

LIMITATIONS
- Two city disclosure populations, not a national building census.
- NYC source years are 2022-2024; Seattle source years are 2015-2025.
- Property IDs can describe campuses; taxlot links never allocate aggregate energy or emissions across buildings.
- Repeated property-year rows remain separate and are explicitly counted.
- Cross-city emissions, floor areas and energy figures can differ in methodology; normalized units alone do not establish comparability.
- No regulatory penalties, compliance liability or efficiency certification are inferred.
- PLUTO ownership labels are dated tax-record facts and may identify individuals; they are not current ownership verification.
- Unparsed identifier strings remain visible in native disclosures and are not force-matched.
- Native tables retain reported strings and missing-value markers. The legend states each metric’s units; shared units do not erase differences between city definitions.

DATA STOCKROOM TERMS
- This is a dated data snapshot. It does not include an ongoing update service.
- The files are supplied as-is. Accuracy, completeness, contact reachability and suitability for a particular use are not guaranteed. Independently verify information needed for your use.
- Underlying source data remains subject to the included upstream licenses and notices. Those terms govern that material; these terms do not restrict upstream permissions or rights in public-domain information.
- Data Stockroom does not claim agency endorsement or exclusive ownership of underlying public facts. A published contact does not establish consent to marketing.

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