Healthcare Specialist Wait Times

This dataset provides detailed information on average wait times for healthcare specialists across various facilities, including specialty and facility identifiers, location details, and wait time statistics. It enables healthcare providers and administrators to manage patient expectations, optimize resource allocation, and benchmark performance across specialties and locations. The data is ideal for operational analysis, patient communication, and healthcare service planning.

  • last updated 21 Jul 2025
  • by GoMask
The brief that made it

Informing patients about expected wait times for specialist appointments

Sample rows

preview · 8 of 200 rows · all 15 columns
specialty_idintegerfacility_typestringaverage_wait_time_minutesfloataddress_citystringspecialty_namestringfacility_idintegerfacility_namestringaddress_streetstringaddress_statestringaddress_postal_codestringaddress_countrystringwait_time_range_min_minutesfloatwait_time_range_max_minutesfloatlast_updateddatetimedata_sourcestring
1Hospital142.3New YorkCardiology100Metropolitan General Hospital1201 Heartway AveNY10001USA75.2184.52024-06-18T14:52:09manual entry
2Clinic13.8DallasDermatology101Sunshine Family Clinic415 Sunrise BlvdTX75201USA3.218.72024-06-18T11:14:37internal system
3Specialty Center221.5TorontoOncology102Starlight Oncology Center2210 Beacon StONM4E 1B8Canada163.9320.12024-06-14T15:08:44public report
4Clinic4.7VancouverPediatrics103Children's Wellness Clinic60 Maple Leaf RdBCV5K 0A1Canada08.62024-06-19T09:22:55internal system
5Hospital188.9New YorkNeurology100Metropolitan General Hospital1201 Heartway AveNY10001USA88.2270.72024-06-15T13:47:31manual entry
6Clinic7.2MiamiFamily Medicine104Midtown Primary Care Clinic3892 Elmwood DrFL33101USA0132024-06-17T16:11:20public report
7Specialty Center51.5DenverOrthopedics105Cedarview Specialty Center710 Cedarview LnCO80220USA44.1902024-06-16T10:18:32internal system
8Urgent Care5.1BostonGastroenterology106Oakwood Urgent Care192 Oakwood AveMA02118USA010.62024-06-19T08:13:22internal system

What the 200 rows show

from the 200-row sample

Hospital (facility type) stands out: mean average_wait_time_minutes is 190.6, against 28.1 for the rest.

  • 25.4median average_wait_time_minutes
  • 3address countries
  • 4data sources
  • 24address states
  • 8.4median wait_time_range_min_minutes
  • 29.8median wait_time_range_max_minutes
Mean average_wait_time_minutes by facility_type200 rows
0100200190.6Hospit…52 rows10.7Clinic77 rows4.3Urgent…13 rows74.6Specia…39 rows19.8Other19 rows
average_wait_time_minutes200 rows, in bands of 50
065130123201621105410200400average_wait_time_minutes →

Median 25.4, from 0.0 to 365.0.

address_city200 rows · top 10 of 40 values
  1. Denver23
  2. New York10
  3. Toronto10
  4. Vancouver10
  5. Miami10
  6. Boston10
  7. Seattle10
  8. London8
  9. Oakland8
  10. San Francisco7
15 columns by typefrom the column list below
  • string 9
  • integer 2
  • float 3
  • datetime 1

Columns

15 columns in three groups
blueprint · 15 columns
columntypedescriptionexample
Text 9 columns
specialty_namestringName of the medical specialty (e.g., Cardiology, Dermatology)uniqueCardiology
facility_namestringName of the healthcare facility or clinicSunshine Family Clinic
facility_typestringType of healthcare facility (e.g., Hospital, Clinic, Urgent Care)Hospital · Clinic · Urgent Care · Specialty Center · Other · optionalHospital
address_streetstringStreet address of the facilityoptional1201 Heartway Ave
address_citystringCity where the facility is locatedoptionalNew York
address_statestringState or province where the facility is locatedoptionalNY
address_postal_codestringPostal or ZIP code of the facilityoptional10001
address_countrystringCountry where the facility is located3 countries · optionalUSA
data_sourcestringSource of the wait time data (e.g., internal system, public report)4 sources · optionalmanual entry
Numbers 5 columns
specialty_idintegerUnique identifier for the medical specialtyunique1
facility_idintegerUnique identifier for the healthcare facility or clinic100
average_wait_time_minutesfloatAverage wait time in minutes for a patient to see a specialist in this specialty at this facility0 or more142.3
wait_time_range_min_minutesfloatMinimum observed wait time in minutes for this specialty at this facility0 or more · optional75.2
wait_time_range_max_minutesfloatMaximum observed wait time in minutes for this specialty at this facility0 or more · optional184.5
Dates and times 1 column
last_updateddatetimeTimestamp of when the wait time data was last updated2024-06-18T14:52:09

Use it for

  • median average…25.4200 rowsmean average wait tim…190.6Hosp…10.7Clin…4.3Urge…74.6Spec…

    A healthcare dashboard

    Average_wait_time_minutes by facility_type and a breakdown of address_city. Excel, Power BI or Tableau.

  • Why do the 52 Hospital rows have a mean average_wait_time_minutes of 190.6?

    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 rows with specialty_name, facility_id and facility_name to fill a screen in front of a buyer.

Not quite right?

Make it yours.

Same 15 columns, your size and your rules. See 20 rows before you pay.

Preview 20 rows free

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This dataset200 rows15 columns
Yours1,000 rows15 columnsaddress_street: UK only

blueprint · healthcare-specialist-wait-times

Behind this dataset

Same schema. As many rows as you need.

These 200 rows came out of a blueprint — 15 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
  • Monthly average wait per specialist type.
  • Geographical region and facility linked.
  • Patient priority level included.
  • Record count reflects appointment slots.
Rows
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Exports
CSV, JSON, JSONL, Parquet, SQL, Excel, TSV, XML
Licence
yours to use, including commercially
API slug
healthcare-specialist-wait-times

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