nyc_ll84: summary: 6 rows where Calendar Year = 2019 and Property Type = "Data Center" sorted by Calendar Year descending

The 25 most important columns: property info, ENERGY STAR score, EUI, GHG emissions, GHGI (kgCO2e/m²), and fuel use by type. Filter using the column boxes or left-side facets. Export to CSV or JSON.

Data license: Public Domain · Data source: NYC Mayor's Office of Sustainability

6 rows where Calendar Year = 2019 and Property Type = "Data Center" sorted by Calendar Year descending

descending

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Link	rowid	Calendar Year ▲	Property ID	Property Name	Borough	Address 1	Postal Code	Property Type	Floor Area (ft2)	Year Built	Number of Buildings	ENERGY STAR Score	Site EUI (kBtu/ft2)	Weather Norm Site EUI (kBtu/ft2)	Source EUI (kBtu/ft2)	Total GHG (MtCO2e)	GHGI (kgCO2e/m2)	Direct GHG (MtCO2e)	Indirect GHG (MtCO2e)	Electricity (kBtu)	Natural Gas Use (kBtu)	District Steam Use (kBtu)	Fuel Oil #2 Use (kBtu)	Water Use (kgal)	BBL	BIN
156171	156171	2019	2459564	NY3-011 Teleport A	STATEN IS	10 Teleport Drive	10311	Data Center	133,983	1980	1	25	553.2	553.2	1544.4	6273.4	507716.17	25.1	6248.3	73778213.7	0.0	0.0	0.0	52183.4	5021650035	5146617
156526	156526	2019	2614608	Western Union Building	MANHATTAN	60 Hudson Street	10013	Data Center	1,074,536	1930	1	100	289.6	289.3	786.5	26199.5	282008798.05	1081.5	25118.0	296588139.0	0.0	0.0	14574318.0	0.0	1-00144-0040	1001572
158189	158189	2019	2694135	NYW-420 Teleport B	STATEN IS	10A South Ave	10311	Data Center	66,080	1980	1	100	39.5	39.3	106.5	219.3	35765.5	10.8	208.5	2462122.5	0.0	0.0	0.0	95.9	5021650050	5146618
179111	179111	2019	7424200	lgjsdliihg		mm	11374	Data Center	100,000	1951	2	Not Available	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	X-XXXXX-XXXX; X-XXXXX-XXXX	XXXXXXX; XXXXXXX
180322	180322	2019	9598540	33-16 Woodside Ave.	QUEENS	33-16 Woodside Ave	11101	Data Center	34,400	1949	1	Not Available	380.0	0.0	1036.2	1025.1	324531.58	29.8	995.3	12525736.5	511589.2	0.0	0.0	211.2	4001200099	4000828
181711	181711	2019	10827887	227 East 30th Street	MANHATTAN	227 East 30th Street	10016	Data Center	202,704	1922	1	Not Available	266.1	264.3	544.6	4102.4	218603.09	0.0	4102.4	28494046.3	0.0	25441418.5	0.0	30705.2	1009117503	1019951

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CREATE TABLE summary(
  "Calendar Year" INT,
  "Property ID" TEXT,
  "Property Name" TEXT,
  Borough TEXT,
  "Address 1" TEXT,
  "Postal Code" TEXT,
  "Property Type" TEXT,
  "Floor Area (ft2)" TEXT,
  "Year Built" TEXT,
  "Number of Buildings" TEXT,
  "ENERGY STAR Score" TEXT,
  "Site EUI (kBtu/ft2)" REAL,
  "Weather Norm Site EUI (kBtu/ft2)" REAL,
  "Source EUI (kBtu/ft2)" REAL,
  "Total GHG (MtCO2e)" REAL,
  "GHGI (kgCO2e/m2)",
  "Direct GHG (MtCO2e)" REAL,
  "Indirect GHG (MtCO2e)" REAL,
  "Electricity (kBtu)" REAL,
  "Natural Gas Use (kBtu)" REAL,
  "District Steam Use (kBtu)" REAL,
  "Fuel Oil #2 Use (kBtu)" REAL,
  "Fuel Oil #4 Use (kBtu)" REAL,
  "Fuel Oil #5 & 6 Use (kBtu)" REAL,
  "Water Use (kgal)" REAL,
  BBL TEXT,
  BIN TEXT
);
CREATE INDEX "idx_summary_Calendar Year" ON [summary] ("Calendar Year");
CREATE INDEX "idx_summary_Property ID" ON [summary] ("Property ID");
CREATE INDEX "idx_summary_Borough" ON [summary] ("Borough");
CREATE INDEX "idx_summary_Property Type" ON [summary] ("Property Type");
CREATE INDEX "idx_summary_Postal Code" ON [summary] ("Postal Code");

Summary — Key Metrics (start here)

6 rows where Calendar Year = 2019 and Property Type = "Data Center" sorted by Calendar Year descending

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