Smart City Emergency IoT Dispatch

This dataset provides real-time, IoT-enabled tracking of emergency response assets across a smart city, including incident details, asset locations, sensor readings, and operational status. It enables government and municipal teams to analyze resource deployment, response times, and sensor-driven asset health for optimizing emergency logistics and digital transformation initiatives.

  • last updated 28 Dec 2025
  • by GoMask
The brief that made it

Analyzing emergency response times and resource deployment efficiency

Sample rows

preview · 8 of 88 rows · all 25 columns
dispatch_idstringsensor_typestringsensor_valuefloatsensor_unitstringincident_idstringincident_typestringincident_datetimedatetimeincident_priorityintegerincident_street_addressstringincident_citystringincident_statestringincident_postal_codestringincident_countrystringasset_idstringasset_typestringasset_statusstringdispatch_datetimedatetimearrival_datetimedatetimeclear_datetimedatetimeasset_latitudefloatasset_longitudefloatsensor_data_timestampdatetimeresponse_time_secondsintegerasset_operator_idstringnotesstring
D-1001temperature37.2CelsiusINC-5001fire2024-06-10T14:12:23Z2728 Willow StSpringfieldIL62704USAVEH-201fire_truckon_scene2024-06-10T14:15:13Z2024-06-10T14:25:30Z2024-06-10T15:10:52Z39.7818-89.65012024-06-10T14:25:35Z617OP-500Fire contained to kitchen area.
D-1002heart_rate82bpmINC-5002medical2024-06-11T08:22:44Z11422 N Main AveRiversideCA92501USAAMB-103ambulanceen_route2024-06-11T08:24:10Z2024-06-11T08:32:40Zblank33.9806-117.37552024-06-11T08:29:58Z510OP-301Cardiac arrest suspected.
D-1003air_quality122.4ppmINC-5001fire2024-06-10T14:12:23Z2728 Willow StSpringfieldIL62704USADRONE-11droneon_scene2024-06-10T14:16:10Z2024-06-10T14:20:13Z2024-06-10T14:50:00Z39.7821-89.65022024-06-10T14:20:13Z243OP-517Drone provided live air quality feed.
D-1004GPS0metersINC-5003police2024-06-12T22:05:36Z3889 Lakeview DrFranklinTN37064USAPOL-021police_carreturning2024-06-12T22:07:00Z2024-06-12T22:17:40Z2024-06-12T22:45:51Z35.9251-86.86892024-06-12T22:17:45Z640OP-209Suspect was apprehended.
D-1005temperature28.9CelsiusINC-5004hazmat2024-06-13T13:40:50Z1312 Pinehurst BlvdGreenvilleSC29601USAVEH-221otheron_scene2024-06-13T13:42:33Z2024-06-13T13:49:12Zblank34.8526-82.3942024-06-13T13:49:12Z399OP-518Chemical leak detected.
D-1006heart_rate76bpmINC-5005medical2024-06-13T06:19:11Z279 Cherrywood AveAlbanyNY12207USAAMB-118ambulancedispatched2024-06-13T06:21:00Zblankblank42.6526-73.75622024-06-13T06:22:33ZblankOP-333Elderly patient, possible stroke.
D-1007GPS0metersINC-5006other2024-06-14T12:45:00Z4945 Meadowbrook RdColumbusOH43215USARES-009responderon_scene2024-06-14T12:47:21Z2024-06-14T12:53:44Zblank39.9612-82.99882024-06-14T12:54:00Z383OP-417Crowd control required.
D-1008GPS0metersINC-5007police2024-06-15T19:18:40Z32012 Southgate DrBaton RougeLA70808USAPOL-047police_caren_route2024-06-15T19:19:40Zblankblank30.4125-91.18382024-06-15T19:20:00ZblankOP-155Possible burglary in progress.

What the 88 rows show

from the 88-row sample

Air_quality (sensor type) stands out: mean sensor_value is 181.9, against 35.0 for the rest.

  • 37.3median sensor_value
  • 5incident types
  • 5asset statuses
  • 6asset types
  • 21incident states
  • 2median incident_priority
Mean sensor_value by sensor_type88 rows
01002005.9GPS31 rows37.3temper…23 rows84.2heart_…18 rows181.9air_qu…15 rows0.0other1 rows
sensor_value88 rows, in bands of 50
03060551753710150300sensor_value →

Median 37.3, from 0.0 to 258.1.

sensor_unit87 rows with a value · 1 left blank
  1. meters31
  2. Celsius23
  3. bpm18
  4. ppm15
25 columns by typefrom the column list below
  • string 15
  • integer 2
  • float 3
  • datetime 5

Columns

25 columns in three groups
blueprint · 25 columns
columntypedescriptionexample
Text 15 columns
dispatch_idstringUnique identifier for each emergency dispatch eventuniqueD-1001
incident_idstringUnique identifier for the emergency incidentINC-5001
incident_typestringType of emergency incident (e.g., fire, medical, police)fire · medical · police · hazmat · otherfire
incident_street_addressstringStreet address where the incident occurred728 Willow St
incident_citystringCity where the incident occurredSpringfield
incident_statestringState or province where the incident occurredIL
incident_postal_codestringPostal code of the incident location62704
incident_countrystringCountry where the incident occurredUSA
asset_idstringUnique identifier for the emergency response asset (vehicle, drone, personnel, etc.)VEH-201
asset_typestringType of emergency response asset (e.g., ambulance, fire_truck, police_car, drone, responder)6 valuesfire_truck
asset_statusstringCurrent status of the asset (e.g., dispatched, en_route, on_scene, returning, unavailable)dispatched · en_route · on_scene · returning · unavailableon_scene
sensor_typestringType of sensor reporting data (e.g., GPS, temperature, heart_rate, air_quality)GPS · temperature · heart_rate · air_quality · othertemperature
sensor_unitstringUnit of measurement for the sensor value (e.g., Celsius, bpm, ppm, meters)4 units · optionalCelsius
asset_operator_idstringUnique identifier for the operator or responder assigned to the assetoptionalOP-500
notesstringAdditional notes or comments about the dispatch eventoptionalSuspect was apprehended.
Numbers 5 columns
incident_priorityintegerPriority level of the incident (1=highest, 5=lowest)1 to 52
asset_latitudefloatLatitude of the asset's current or last known location-90 to 9039.7818
asset_longitudefloatLongitude of the asset's current or last known location-180 to 180-89.6501
sensor_valuefloatValue reported by the sensor (context depends on sensor_type)37.2
response_time_secondsintegerCalculated time in seconds from dispatch to arrival at scene0 or more · optional617
Dates and times 5 columns
incident_datetimedatetimeDate and time when the incident was reported2024-06-10T14:12:23Z
dispatch_datetimedatetimeDate and time when the asset was dispatched2024-06-10T14:15:13Z
arrival_datetimedatetimeDate and time when the asset arrived at the incident sceneoptional2024-06-10T14:25:30Z
clear_datetimedatetimeDate and time when the asset cleared the incident sceneoptional2024-06-10T15:10:52Z
sensor_data_timestampdatetimeTimestamp of the most recent sensor data reading from the asset2024-06-10T14:25:35Z

Use it for

  • median sensor …37.388 rowsmean sensor value by …5.9GPS37.3temp…84.2hear…181.9air_…

    A government dashboard

    Sensor_value by sensor_type and a breakdown of sensor_unit. Excel, Power BI or Tableau.

  • Why do the 15 air_quality rows have a mean sensor_value of 181.9?

    A root-cause class exercise

    Hand out the rows and one question. The answer is in the data, not in the brief.

  • A software demo

    Believable dispatches with incident_id, incident_type and incident_datetime to fill a screen in front of a buyer.

Not quite right?

Make it yours.

Same 25 columns, your size and your rules. See 20 rows before you pay.

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This dataset88 rows25 columns
Yours1,000 rows25 columnsincident_street_address: UK only

blueprint · smart-city-emergency-iot-dispatch

Behind this dataset

Same schema. As many rows as you need.

These 88 rows came out of a blueprint — 25 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 unique emergency dispatch event.
  • Assets are assigned to incidents based on proximity and availability.
  • Dispatch times must reflect realistic urban travel patterns.
  • Asset statuses (en route, on site, completed) are updated via IoT device input.
  • Sensor-reported delays and resource shortages are logged per incident.
Rows
Open the blueprint in Data Factory

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Exports
CSV, JSON, JSONL, Parquet, SQL, Excel, TSV, XML
Licence
yours to use, including commercially
API slug
smart-city-emergency-iot-dispatch

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