Government
16 columns
120 rows
8 formats

Smart Bin Sensor Fill Levels

This dataset provides granular IoT sensor readings from urban smart waste bins, including fill levels, geolocation, bin status, and overflow alerts. It enables city planners and public sector analysts to optimize waste collection routes, prevent bin overflow, and improve sustainability through data-driven decisions. The comprehensive structure supports geospatial analysis, operational monitoring, and predictive maintenance.

opened 26 times
last updated 29 Oct 2025
by GoMask

The brief that made it

Optimizing waste collection routes using real-time bin fill levels

Sample rows

preview · 8 of 120 rows · all 16 columns

bin_idstring	bin_statusstring	battery_level_percentfloat	overflow_alertboolean	address_countrystring	sensor_idstring	reading_idstring	timestampdatetime	fill_level_percentfloat	bin_typestring	location_latitudefloat	location_longitudefloat	address_streetstring	address_citystring	address_statestring	address_postal_codestring
BIN-001	active	83.5	false	USA	SNSR-1001	READ-00001	2024-06-03T07:34:15Z	12.3	general	40.7128	-74.006	123 Broadway	New York	NY	10007
BIN-002	active	61.2	false	UK	SNSR-1002	READ-00002	2024-06-03T09:21:47Z	69.4	recycling	51.5074	-0.1278	456 Piccadilly	London	England	W1J 9HS
BIN-003	maintenance	17.8	true	Japan	SNSR-1003	READ-00003	2024-06-03T11:10:32Z	95.1	organic	35.6895	139.6917	789 Shibuya	Tokyo	Tokyo	150-0002
BIN-004	out_of_service	13.4	false	Germany	SNSR-1004	READ-00004	2024-06-03T13:58:06Z	8.6	hazardous	52.52	13.405	23 Alexanderplatz	Berlin	BE	10178
BIN-005	active	58.7	false	Australia	SNSR-1005	READ-00005	2024-06-03T15:46:51Z	46.2	other	-33.8688	151.2093	55 George St	Sydney	NSW	2000
BIN-006	maintenance	21	true	France	SNSR-1006	READ-00006	2024-06-03T17:00:19Z	91.4	general	48.8566	2.3522	10 Rue de Rivoli	Paris	IDF	75001
BIN-007	active	47.1	false	USA	SNSR-1007	READ-00007	2024-06-03T19:18:05Z	33.9	recycling	34.0522	-118.2437	210 Main St	Los Angeles	CA	90012
BIN-008	active	35.4	false	Russia	SNSR-1008	READ-00008	2024-06-03T20:45:12Z	57.8	organic	55.7558	37.6173	7 Tverskaya St	Moscow	MOW	101000
BIN-009	out_of_service	9.5	true	Brazil	SNSR-1009	READ-00009	2024-06-03T21:59:44Z	100	hazardous	-22.9068	-43.1729	18 Avenida Atlântica	Rio de Janeiro	RJ	22021-001
BIN-010	active	54.9	false	Italy	SNSR-1010	READ-00010	2024-06-03T23:07:31Z	63.2	other	41.9028	12.4964	99 Via del Corso	Rome	RM	00187
BIN-011	active	71.6	false	USA	SNSR-1011	READ-00011	2024-06-04T01:26:45Z	17.7	general	37.7749	-122.4194	350 Market St	San Francisco	CA	94103
BIN-012	active	45.7	false	Japan	SNSR-1012	READ-00012	2024-06-04T03:32:19Z	78.3	recycling	35.6762	139.6503	2-11-1 Nihonbashi	Chuo	Tokyo	103-0027
BIN-013	maintenance	19.2	false	Austria	SNSR-1013	READ-00013	2024-06-04T05:17:53Z	88	organic	48.2082	16.3738	1 Stephansplatz	Vienna	Vienna	1010
BIN-014	out_of_service	12.8	false	Sweden	SNSR-1014	READ-00014	2024-06-04T06:48:24Z	3.2	hazardous	59.3293	18.0686	12 Drottninggatan	Stockholm	AB	11151
BIN-015	active	56.3	false	Mexico	SNSR-1015	READ-00015	2024-06-04T08:35:07Z	51.7	other	19.4326	-99.1332	67 Paseo de la Reforma	Mexico City	CDMX	06600
BIN-016	maintenance	13.7	true	China	SNSR-1016	READ-00016	2024-06-04T10:29:41Z	96.6	general	39.9042	116.4074	8 Tiananmen Sq	Beijing	Beijing	100006
BIN-017	active	49.8	false	Canada	SNSR-1017	READ-00017	2024-06-04T11:42:16Z	58.8	recycling	43.6532	-79.3832	33 Queen St W	Toronto	ON	M5H 2N2
BIN-018	active	76.1	false	India	SNSR-1018	READ-00018	2024-06-04T13:13:52Z	13.5	organic	28.6139	77.209	14 Connaught Place	Delhi	DL	110001
BIN-019	active	38.9	false	USA	SNSR-1019	READ-00019	2024-06-04T15:22:49Z	73	hazardous	35.2271	-80.8431	77 S Tryon St	Charlotte	NC	28202
BIN-020	active	28.6	false	Germany	SNSR-1020	READ-00020	2024-06-04T17:04:31Z	84.5	other	50.1109	8.6821	88 Zeil	Frankfurt	HE	60313

What the 120 rows show

from the 120-row sample

Active (bin status) stands out: mean battery_level_percent is 54.5, against 13.6 for the rest.

24%overflow_alert = true
38.8median battery_level_percent
5bin types
59.9median fill_level_percent

Mean battery_level_percent by bin_status120 rows

battery_level_percent120 rows, in bands of 10

Median 38.8, from 0.0 to 97.5.

address_country120 rows · top 10 of 38 values

USA13
Japan9
Germany7
China6
UK5
Brazil5
Canada5
Spain5
Australia4
Italy4

16 columns by typefrom the column list below

string 10
float 4
datetime 1
boolean 1

Columns

16 columns in four groups

blueprint · 16 columns
column	type	description	example
Text 10 columns
`bin_id`	string	Unique identifier for each smart waste binunique	BIN-001
`sensor_id`	string	Unique identifier for the IoT sensor installed in the bin	SNSR-1001
`reading_id`	string	Unique identifier for each sensor readingunique	READ-00001
`bin_type`	string	Type of waste bin (e.g., general, recycling, organic)general · recycling · organic · hazardous · other	general
`address_street`	string	Street address of the bin's locationoptional	123 Broadway
`address_city`	string	City where the bin is locatedoptional	New York
`address_state`	string	State or region where the bin is locatedoptional	NY
`address_postal_code`	string	Postal code of the bin's locationoptional	10007
`address_country`	string	Country where the bin is locatedoptional	USA
`bin_status`	string	Operational status of the bin (e.g., active, out_of_service, maintenance)active · out_of_service · maintenance · optional	active
Numbers 4 columns
`fill_level_percent`	float	Current fill level of the bin as a percentage (0-100)0 to 100	12.3
`location_latitude`	float	Latitude coordinate of the bin's location-90 to 90	40.7128
`location_longitude`	float	Longitude coordinate of the bin's location-180 to 180	-74.006
`battery_level_percent`	float	Current battery level of the sensor as a percentage (0-100)0 to 100 · optional	83.5
Dates and times 1 column
`timestamp`	datetime	Date and time when the sensor reading was recorded	2024-06-03T07:34:15Z
True or false 1 column
`overflow_alert`	boolean	Indicates if the bin is overflowing based on sensor readingoptional	false

Use it for

A government dashboard
The overflow_alert rate, battery_level_percent by bin_status and a breakdown of address_country. Excel, Power BI or Tableau.
Why do the 77 active rows have a mean battery_level_percent of 54.5?
A root-cause class exercise
Hand out the rows and one question. The answer is in the data, not in the brief.
Bins120
BIN-00183.5active
BIN-00317.8maintena…
BIN-00621maintena…
A software demo
Believable bins with sensor_id, reading_id and timestamp to fill a screen in front of a buyer.

This dataset120 rows16 columns

Yours10,000 rows16 columnslocation_latitude: UK only

blueprint · smart-bin-sensor-fill-levels

Behind this dataset

Same schema. As many rows as you need.

These 120 rows came out of a blueprint — 16 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

Each row represents a single waste bin sensor reading event.
Fill level recorded as percentage (0-100%).
Bin ID, location type (commercial, residential, public space), and timestamp required for each entry.
Overflow alerts flagged when fill level exceeds 95%.
Weather conditions logged with each reading to assess environmental impact.
Collection status noted (collected/not collected).

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: smart-bin-sensor-fill-levels

What should your data show?

No signup. No card.

Sample rows

What the 120 rows show

Columns

Use it for

A government dashboard

A root-cause class exercise

A software demo

Make it yours.

Same schema. As many rows as you need.

More in Government

What should your data show?