Telecommunications
27 columns
120 rows
8 formats

Telecom Tower Energy Benchmarking

This dataset offers detailed energy consumption and operational metrics for telecom towers, including location, power sources, backup systems, and environmental conditions. It is ideal for benchmarking tower efficiency, identifying sustainability opportunities, and supporting strategic upgrades for 5G and IoT deployments. The rich contextual data enables granular analysis across operators, regions, and technology generations.

last updated 27 Oct 2025
by GoMask

The brief that made it

Benchmarking energy efficiency across telecom tower sites

Sample rows

preview · 8 of 120 rows · all 27 columns

tower_idstring	energy_source_primarystring	renewable_energy_percentagefloat	backup_power_availableboolean	address_countrystring	operator_namestring	site_namestring	address_streetstring	address_citystring	address_statestring	address_postal_codestring	latitudefloat	longitudefloat	tower_typestring	deployment_typestring	network_generationstring	installed_power_capacity_kwfloat	average_monthly_energy_consumption_kwhfloat	peak_daily_energy_consumption_kwhfloat	energy_source_secondarystring	battery_capacity_kwhfloat	generator_capacity_kwfloat	cooling_typestring	average_temperature_cfloat	site_uptime_percentagefloat	last_maintenance_datedate	notesstring
TWR_1001AB	grid	0	true	USA	WirelessCo	MetroNorth_21A	1428 Main St	Dallas	TX	75201	32.7865	-96.797	macrocell	urban	5G	18.2	4425.7	198.2	none	544	23.7	air conditioning	29.8	99.92	2024-04-12	High traffic area, robust backup, metro tower
TW_1002CD	grid	11.2	false	USA	CityNet	CentralPark_09	77 W 65th St	New York	NY	10023	40.7726	-73.9793	microcell	urban	5G	2.4	320.5	18.4	solar	0	0	air conditioning	22.9	99.65	2024-03-29	Metro small cell, no backup, upgraded antenna
TWR-1003EF	grid	0	true	USA	EdgeTel	EdgeHarbor_12B	456 Ocean Ave	San Diego	CA	92101	32.7157	-117.1611	macrocell	urban	mixed	15.6	3822.9	164.1	none	410	19.5	hybrid	26.2	99.88	2024-05-03	Urban macrocell, robust backup, recent upgrade
TW_1004GH	grid	0	true	USA	FastWave	SunsetHill_15	334 Hilltop Rd	Phoenix	AZ	85003	33.4484	-112.074	macrocell	urban	4G	16.1	3943	178.5	none	320	15.9	air conditioning	31.3	99.91	2024-04-21	Urban macrocell, metro cluster, AC cooling
TWR_1005IJ	grid	0	false	USA	GlobalConnect	BayPoint_17C	1018 Bay St	San Francisco	CA	94109	37.8038	-122.4199	small cell	urban	5G	1.6	190.2	13.7	none	0	0	air conditioning	19.1	99.76	2024-06-04	Downtown small cell, no backup
TWR-1006KL	diesel	33.7	true	USA	RuralCell	Farmstead_02	2102 County Rd 7	Lincoln	NE	68505	40.8258	-96.6852	macrocell	rural	3G	9.4	2038.7	91.2	solar	170	13.4	none	34.2	97.89	2023-10-20	Rural macrocell, seasonal generator, solar support
TWR_1007MN	diesel	0	true	USA	WirelessCo	Lakeside_29E	612 Lake Dr	Madison	WI	53703	43.0731	-89.4012	macrocell	rural	4G	7.7	1832.1	80.6	none	190	11.7	passive	30.8	98.77	2023-12-15	Seasonal generator, rural cluster, remote access
TW_1008OP	hybrid	67	true	USA	EdgeTel	RemotePeak_07A	1501 Ridge Rd	Flagstaff	AZ	86001	35.1983	-111.6513	macrocell	remote	mixed	12.4	2521.9	102.3	wind	445	13.9	none	27.2	96.11	2023-08-03	Remote macrocell, hybrid energy, wind backup
TWR_1009QR	diesel	0	true	USA	RuralCell	WestField_31D	3421 Meadow Ln	Cheyenne	WY	82001	41.1399	-104.8202	macrocell	rural	4G	10.2	2207.4	97.4	none	240	15.4	passive	31.7	97.35	2023-11-11	Rural macrocell, diesel backup, high uptime
TW-1010ST	hybrid	58.3	true	USA	WirelessCo	EastValley_40	1872 Valley Rd	Boise	ID	83702	43.615	-116.2023	macrocell	remote	mixed	13.3	2305.6	112.6	grid	388	15.1	hybrid	27.9	95.43	2023-09-20	Remote macrocell, hybrid power, scheduled upgrade
TWR-1011UV	solar	100	true	USA	GlobalConnect	TechPark_06B	9901 Innovation Dr	Austin	TX	78758	30.3944	-97.7227	small cell	urban	IoT	1.1	105.6	6.2	none	24	0	passive	18.7	99.33	2024-03-18	IoT hub, full solar, passive cooling
TW_1012WX	solar	100	true	USA	EdgeTel	GreenPark_24	2498 Parkside Ln	Seattle	WA	98109	47.6333	-122.3417	microcell	urban	IoT	0.8	81.7	5.5	wind	18	0	passive	17.6	99.25	2024-02-19	IoT sensor station, full renewable, passive cooling
TWR-1013YZ	grid	0	false	USA	FastWave	TestLab_01	17 Test Lab Ave	Boston	MA	02115	42.3356	-71.1015	femtocell	urban	2G	0.1	5.3	0.4	none	0	0	none	20.3	94.2	blank	Test entity, minimal energy, legacy support
TWR_1014AA	grid	18.5	true	USA	WirelessCo	SouthGate_11C	876 Maple St	Denver	CO	80205	39.7384	-104.9823	macrocell	urban	5G	19.3	4889.1	212.4	solar	680	26.8	air conditioning	28.7	99.95	2024-06-01	High traffic, robust backup, urban metro site
TW_1015BB	grid	0	false	USA	CityNet	MarketPlaza_32	200 Market St	Portland	OR	97201	45.5134	-122.6791	microcell	urban	4G	2.7	355.3	21.2	none	0	0	air conditioning	21.4	99.67	2024-04-10	Urban microcell, no backup, commercial plaza
TWR-1016CC	wind	100	true	USA	GlobalConnect	Suburbia_18A	5241 Willow St	Sacramento	CA	95819	38.567	-121.4292	small cell	suburban	IoT	0.9	91.4	4.8	none	21	0	passive	15.9	99.22	2024-05-19	IoT weather station, full wind renewable
TW_1017DD	diesel	0	true	USA	EdgeTel	RemoteOutpost_04	3102 State Hwy	Billings	MT	59101	45.7833	-108.5007	macrocell	remote	4G	14.2	2430.6	108.4	none	370	14.7	hybrid	32.1	95.8	2023-07-12	Remote macrocell, hybrid cooling, diesel backup
TWR_1018EE	diesel	41.5	true	USA	RuralCell	Crossroads_22C	4441 Route 5	Fargo	ND	58102	46.8772	-96.7898	macrocell	rural	3G	12.9	2189.8	99.9	solar	220	13.6	passive	30.1	97.94	2023-10-23	Diesel macrocell, rural cluster, solar support
TW-1019FF	grid	0	true	USA	WirelessCo	TechPlaza_20B	8910 Tech Ave	Houston	TX	77002	29.7604	-95.3698	macrocell	urban	5G	17.5	4210.3	192.1	none	530	20.6	air conditioning	30.4	99.93	2024-05-08	Urban macrocell, robust backup, technology hub
TWR_1020GG	grid	0	false	USA	GlobalConnect	Riverfront_33A	301 River Rd	St Louis	MO	63102	38.6268	-90.1892	small cell	urban	5G	1.7	185.6	12.8	none	0	0	air conditioning	21.5	99.79	2024-04-24	Riverfront small cell, no backup

What the 120 rows show

from the 120-row sample

Solar (energy source primary) stands out: mean renewable_energy_percentage is 100.0, against 17.2 for the rest.

67%backup_power_available = true
0.0median renewable_energy_percentage
4deployment types
4energy source secondaries
4cooling types
5tower types

Mean renewable_energy_percentage by energy_source_primary120 rows

renewable_energy_percentage120 rows, in bands of 10

Median 0.0, from 0.0 to 100.0.

address_country120 rows · top 10 of 18 values

USA59
India11
Australia8
Canada8
France7
Kenya6
UK5
Brazil5
Germany2
United Kingdom1

27 columns by typefrom the column list below

string 15
float 10
date 1
boolean 1

Columns

27 columns in four groups

blueprint · 27 columns
column	type	description	example
Text 15 columns
`tower_id`	string	Unique identifier for each telecom towerunique	TWR_1001AB
`operator_name`	string	Name of the telecom operator managing the tower6 names	WirelessCo
`site_name`	string	Name or code of the tower site location	MetroNorth_21A
`address_street`	string	Street address of the telecom tower	1428 Main St
`address_city`	string	City where the telecom tower is located	Dallas
`address_state`	string	State or province of the telecom tower location	TX
`address_postal_code`	string	Postal code for the tower location	75201
`address_country`	string	Country where the telecom tower is located	USA
`tower_type`	string	Type of telecom tower (e.g., macrocell, microcell, small cell)macrocell · microcell · small cell · femtocell · other	macrocell
`deployment_type`	string	Deployment type of the tower (e.g., urban, rural, suburban)urban · rural · suburban · remote	urban
`network_generation`	string	Network generation supported (e.g., 4G, 5G, IoT)6 values	5G
`energy_source_primary`	string	Primary energy source used (e.g., grid, diesel, solar)6 values	grid
`energy_source_secondary`	string	Secondary energy source used, if any7 values · optional	none
`cooling_type`	string	Type of cooling system used (e.g., air conditioning, passive, hybrid)air conditioning · passive · hybrid · none · other · optional	air conditioning
`notes`	string	Additional notes or comments about the tower siteoptional	High traffic area, robust…
Numbers 10 columns
`latitude`	float	Latitude coordinate of the tower-90 to 90	32.7865
`longitude`	float	Longitude coordinate of the tower-180 to 180	-96.797
`installed_power_capacity_kw`	float	Total installed power capacity of the tower in kilowatts (kW)0 or more	18.2
`average_monthly_energy_consumption_kwh`	float	Average monthly energy consumption of the tower in kilowatt-hours (kWh)0 or more	4425.7
`peak_daily_energy_consumption_kwh`	float	Peak daily energy consumption of the tower in kilowatt-hours (kWh)0 or more · optional	198.2
`renewable_energy_percentage`	float	Percentage of total energy consumption from renewable sources0 to 100 · optional	0
`battery_capacity_kwh`	float	Installed battery backup capacity in kilowatt-hours (kWh)0 or more · optional	544
`generator_capacity_kw`	float	Installed generator backup capacity in kilowatts (kW)0 or more · optional	23.7
`average_temperature_c`	float	Average ambient temperature at the tower site in Celsius-40 to 60 · optional	29.8
`site_uptime_percentage`	float	Percentage of time the tower site is operational (uptime)0 to 100	99.92
Dates and times 1 column
`last_maintenance_date`	date	Date of last maintenance performed on the toweroptional	2024-04-12
True or false 1 column
`backup_power_available`	boolean	Indicates if backup power is available at the tower	true

Use it for

A telecommunications dashboard
The backup_power_available rate, renewable_energy_percentage by energy_source_primary and a breakdown of address_country. Excel, Power BI or Tableau.
Why do the 15 solar rows have a mean renewable_energy_percentage of 100.0?
A root-cause class exercise
Hand out the rows and one question. The answer is in the data, not in the brief.
Towers120
TWR_1001AB0grid
TW_1002CD11.2grid
TWR-1003EF0grid
A software demo
Believable towers with operator_name, site_name and address_street to fill a screen in front of a buyer.

This dataset120 rows27 columns

Yours1,000 rows27 columnssite_name: UK only

blueprint · telecom-tower-energy-benchmarking

Behind this dataset

Same schema. As many rows as you need.

These 120 rows came out of a blueprint — 27 columns with generation rules behind each one. Open it in Data Factory to retune a column, add your own, wire in foreign keys, and run it at the size you actually need.

Rules it was built with

Include daily energy usage in kWh per tower
Capture tower type (macrocell, microcell, small cell)
Flag towers with renewable energy integration
Record peak vs. off-peak operational hours
Include maintenance event counts per tower

Rows1,000 rows10,000 rows100,000 rows1,000,000 rows

Open the blueprint in Data Factory

1 credit per row. Preview 20 rows free. Buy rows for the full run.

Exports: CSV, JSON, JSONL, Parquet, SQL, Excel, TSV, XML
Licence: yours to use, including commercially
API slug: telecom-tower-energy-benchmarking

What should your data show?

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Sample rows

What the 120 rows show

Columns

Use it for

A telecommunications dashboard

A root-cause class exercise

A software demo

Make it yours.

Same schema. As many rows as you need.

More in Telecommunications

What should your data show?