Energy
22 columns
200 rows
8 formats

EV Charging Station Utilization

This dataset provides detailed, synthetic logs of electric vehicle charging station usage across a smart city network, including session times, energy delivered, station locations, user types, and payment methods. It enables comprehensive analysis of EV infrastructure utilization, supports sustainability initiatives, and informs urban planning and energy management strategies.

last updated 21 Aug 2025
by GoMask

The brief that made it

EV charging infrastructure utilization analysis

Sample rows

preview · 8 of 200 rows · all 22 columns

log_idstring	station_typestring	energy_kwhfloat	renewable_energyboolean	user_typestring	station_idstring	station_namestring	location_street_addressstring	location_citystring	location_statestring	location_postal_codestring	location_countrystring	latitudefloat	longitudefloat	session_idstring	vehicle_idstring	session_start_timedatetime	session_end_timedatetime	session_duration_minutesinteger	cost_usdfloat	payment_methodstring	station_statusstring
LOG000001	Level 2	14.2	true	public	ST-US-001	LA Downtown Central	123 Main St	Los Angeles	CA	90012	USA	34.0522	-118.2437	SES10001	VEH-US4567	2024-05-01T09:15:00	2024-05-01T10:45:00	90	12.35	credit_card	available
LOG000002	DC Fast	35.1	false	fleet	ST-US-002	NYC Midtown Garage	456 7th Ave	New York	NY	10018	USA	40.7536	-73.9832	SES10002	VEH-US9821	2024-05-02T11:20:00	2024-05-02T11:50:00	30	24.8	rfid_card	in_use
LOG000003	Level 1	6.7	true	employee	ST-US-003	blank	789 Oak Dr	Seattle	WA	98101	USA	47.6062	-122.3321	SES10003	VEH-US3210	2024-05-03T08:00:00	2024-05-03T10:30:00	150	0	free	available
LOG000004	Level 2	15.8	false	public	ST-CA-001	Toronto Union Station	65 Front St W	Toronto	ON	M5J1E6	Canada	43.6456	-79.3807	SES10004	VEH-CA8776	2024-05-04T14:10:00	2024-05-04T15:40:00	90	11.8	mobile_app	available
LOG000005	Level 2	12.4	true	employee	ST-US-004	Denver Tech Center	1021 Park Ave	Denver	CO	80205	USA	39.7392	-104.9903	SES10005	VEH-US6543	2024-05-05T07:45:00	2024-05-05T10:15:00	150	0	free	maintenance
LOG000006	Other	22.9	false	other	ST-AU-001	Sydney CBD Station	10 George St	Sydney	NSW	2000	Australia	-33.8688	151.2093	SES10006	VEH-AU4422	2024-05-06T16:25:00	2024-05-06T17:35:00	70	19.99	mobile_app	in_use
LOG000007	DC Fast	39.4	false	fleet	ST-US-005	Chicago Loop Garage	112 State St	Chicago	IL	60601	USA	41.8781	-87.6298	SES10007	VEH-US5777	2024-05-07T13:35:00	2024-05-07T13:55:00	20	26.1	mobile_app	in_use
LOG000008	Level 2	16.6	false	public	ST-US-006	San Francisco Civic	200 Market St	San Francisco	CA	94105	USA	37.7749	-122.4194	SES10008	VEH-US9999	2024-05-08T15:50:00	2024-05-08T17:30:00	100	13.1	credit_card	available
LOG000009	Other	27.5	false	public	ST-CN-001	Shanghai Pudong	8 Lujiazui Rd	Shanghai	SH	200120	China	31.2304	121.4737	SES10009	VEH-CN8531	2024-05-09T09:05:00	2024-05-09T10:05:00	60	18.6	mobile_app	in_use
LOG000010	Level 2	17.1	true	public	ST-US-007	Houston Energy Plaza	501 Texas Ave	Houston	TX	77002	USA	29.7604	-95.3698	SES10010	VEH-US2323	2024-05-10T10:00:00	2024-05-10T11:50:00	110	14.25	credit_card	available
LOG000011	Level 2	13.2	true	employee	ST-US-004	Denver Tech Center	1021 Park Ave	Denver	CO	80205	USA	39.7392	-104.9903	SES10011	VEH-US7654	2024-05-11T08:15:00	2024-05-11T11:15:00	180	0	free	available
LOG000012	Other	8.4	false	blank	ST-MX-001	Mexico City Centro	Calle Reforma 100	Mexico City	CDMX	01000	Mexico	19.4326	-99.1332	SES10012	VEH-MX5432	2024-05-12T12:05:00	2024-05-12T12:25:00	20	5.5	other	maintenance
LOG000013	DC Fast	33.7	false	fleet	ST-US-008	Las Vegas Strip	3500 Las Vegas Blvd	Las Vegas	NV	89109	USA	36.1699	-115.1398	SES10013	VEH-US1123	2024-05-13T19:00:00	2024-05-13T19:25:00	25	22.9	rfid_card	in_use
LOG000014	Level 2	14.7	true	public	ST-US-001	LA Downtown Central	123 Main St	Los Angeles	CA	90012	USA	34.0522	-118.2437	SES10014	VEH-US5673	2024-05-14T12:30:00	2024-05-14T14:00:00	90	13.8	mobile_app	available
LOG000015	Level 1	8.1	false	employee	ST-US-009	blank	blank	Reno	NV	blank	USA	39.5296	-119.8138	SES10015	VEH-US8912	2024-05-15T07:05:00	2024-05-15T09:25:00	140	0	free	available
LOG000016	Level 2	18.2	true	public	ST-US-010	Miami Beach Center	500 Ocean Dr	Miami Beach	FL	33139	USA	25.7907	-80.13	SES10016	VEH-US1452	2024-05-16T09:35:00	2024-05-16T11:35:00	120	14.95	credit_card	available
LOG000017	DC Fast	34.2	false	fleet	ST-CA-002	Vancouver Waterfront	88 Canada Pl	Vancouver	BC	V6C3E1	Canada	49.2827	-123.1207	SES10017	VEH-CA1222	2024-05-17T14:25:00	2024-05-17T14:55:00	30	24.3	mobile_app	in_use
LOG000018	Level 2	13.8	false	public	ST-US-011	Boston Innovation District	200 Seaport Blvd	Boston	MA	02210	USA	42.3487	-71.0427	SES10018	VEH-US3421	2024-05-18T13:15:00	2024-05-18T14:45:00	90	12.7	credit_card	available
LOG000019	Level 2	12.9	false	employee	ST-US-012	Austin UT Campus	2400 Guadalupe St	Austin	TX	78705	USA	30.2849	-97.7341	SES10019	VEH-US5332	2024-05-19T07:45:00	2024-05-19T10:15:00	150	0	free	available
LOG000020	Other	15.2	true	public	ST-CA-003	blank	500 King St W	Toronto	ON	M5V1M3	Canada	43.6441	-79.3967	SES10020	VEH-CA7654	2024-05-20T12:00:00	2024-05-20T13:20:00	80	13.7	mobile_app	in_use

What the 200 rows show

from the 200-row sample

DC Fast (station type) stands out: mean energy_kwh is 35.7, against 14.6 for the rest.

39%renewable_energy = true
15.2median energy_kwh
4station statuses
5location countries
5payment methods
33location states

Mean energy_kwh by station_type200 rows

energy_kwh200 rows, in bands of 10

Median 15.2, from 0.10 to 51.6.

user_type193 rows with a value · 7 left blank

public84
employee51
fleet42
other16

22 columns by typefrom the column list below

string 14
integer 1
float 4
datetime 2
boolean 1

Columns

22 columns in four groups

blueprint · 22 columns
column	type	description	example
Text 14 columns
`log_id`	string	Unique identifier for each station usage log entryunique	LOG000001
`station_id`	string	Unique identifier for the charging station	ST-US-001
`station_name`	string	Human-readable name of the charging stationoptional	LA Downtown Central
`station_type`	string	Type of charging station (e.g., Level 2, DC Fast)Level 1 · Level 2 · DC Fast · Other	Level 2
`location_street_address`	string	Street address of the charging stationoptional	123 Main St
`location_city`	string	City where the charging station is located	Los Angeles
`location_state`	string	State or region where the charging station is located	CA
`location_postal_code`	string	Postal code of the charging station locationoptional	90012
`location_country`	string	Country of the charging station5 countries	USA
`session_id`	string	Unique identifier for the charging sessionunique	SES10001
`vehicle_id`	string	Unique identifier for the vehicle using the station (anonymized)	VEH-US4567
`user_type`	string	Type of user (e.g., public, fleet, employee)public · fleet · employee · other · optional	public
`payment_method`	string	Payment method used for the sessioncredit_card · mobile_app · rfid_card · free · other · optional	credit_card
`station_status`	string	Operational status of the station during the sessionavailable · in_use · maintenance · offline · optional	available
Numbers 5 columns
`latitude`	float	Latitude coordinate of the charging station-90 to 90	34.0522
`longitude`	float	Longitude coordinate of the charging station-180 to 180	-118.2437
`energy_kwh`	float	Total energy delivered during the session in kilowatt-hours0 or more	14.2
`session_duration_minutes`	integer	Duration of the charging session in minutes1 or more	90
`cost_usd`	float	Total cost of the charging session in US dollars0 or more · optional	12.35
Dates and times 2 columns
`session_start_time`	datetime	Timestamp when the charging session started	2024-05-01T09:15:00
`session_end_time`	datetime	Timestamp when the charging session ended	2024-05-01T10:45:00
True or false 1 column
`renewable_energy`	boolean	Indicates if the session was powered by renewable energy sourcesoptional	true

Use it for

An energy dashboard
The renewable_energy rate, energy_kwh by station_type and a breakdown of user_type. Excel, Power BI or Tableau.
Why do the 45 DC Fast rows have a mean energy_kwh of 35.7?
A root-cause class exercise
Hand out the rows and one question. The answer is in the data, not in the brief.
Logs200
LOG00000114.2Level 2
LOG00000235.1DC Fast
LOG0000036.7Level 1
A software demo
Believable logs with station_id, station_name and station_type to fill a screen in front of a buyer.

This dataset200 rows22 columns

Yours1,000 rows22 columnslocation_street_address: UK only

blueprint · ev-charging-station-utilization

Behind this dataset

Same schema. As many rows as you need.

These 200 rows came out of a blueprint — 22 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

Station ID and location per record
Session duration 5-240 minutes
Energy dispensed 1-90 kWh
Charging time and peak/offpeak flag

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

Open the blueprint in Data Factory

1 credit per row. New accounts start with 25 free credits.

Exports: CSV, JSON, JSONL, Parquet, SQL, Excel, TSV, XML
Licence: yours to use, including commercially
API slug: ev-charging-station-utilization

What should your data show?

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Sample rows

What the 200 rows show

Columns

Use it for

An energy dashboard

A root-cause class exercise

A software demo

Make it yours.

Same schema. As many rows as you need.

More in Energy

What should your data show?