Municipal Digital Service Adoption Metrics

This dataset provides detailed, service-level metrics on the adoption of digital platforms by municipal governments, including transaction volumes, adoption rates, bottlenecks, and outreach activities. It enables civic technology leaders to benchmark progress, identify challenges, and optimize resource planning for digital transformation initiatives. The data is ideal for tracking trends, comparing municipalities, and supporting evidence-based decision making.

  • last updated 3 Feb 2026
  • by GoMask
The brief that made it

Benchmarking digital service adoption across municipalities

Sample rows

preview · 8 of 28 rows · all 19 columns
record_idstringmunicipality_countrystringadoption_ratefloatdigital_availablebooleanmunicipality_statestringmunicipality_idstringmunicipality_namestringservice_idstringservice_namestringservice_categorystringtotal_transactionsintegerdigital_transactionsintegerreporting_period_startdatereporting_period_enddatebottleneck_identifiedbooleanoutreach_activitystringbenchmark_comparisonfloatlast_updateddatetimebottleneck_descriptionstring
REC-00001USA68.2trueIllinoisMUNI-101SpringfieldSERV-001Permit ApplicationPermits4202872024-01-012024-03-31falseOnline Tutorials72.52024-04-07T12:35:17blank
REC-00002USA89.1trueUtahMUNI-102RivertonSERV-002Tax PaymentPayments11209982024-02-012024-02-28falseSocial Media Campaign87.62024-03-02T16:24:10blank
REC-00003USA51.7trueMinnesotaMUNI-103Maple GroveSERV-003Incident ReportingReporting2101092024-01-152024-03-15trueMobile App Launch59.22024-03-20T10:12:33Limited mobile compatibility on reporting portal
REC-00004USA0falseColoradoMUNI-104BrightonSERV-004Parking PermitPermits15002024-01-012024-03-31trueStakeholder Meetings37.52024-04-01T09:45:55Service not yet digitized
REC-00005Canada74.6trueOntarioMUNI-105LakeshoreSERV-005Business RegistrationPermits3302462024-02-012024-02-28falseLocal Workshops78.82024-03-05T13:11:44blank
REC-00006USA41.2trueCaliforniaMUNI-106Redwood CitySERV-006Waste Pickup SchedulingReporting7503092024-01-102024-03-10trueFlyer Distribution48.52024-03-14T18:29:01Low awareness of digital scheduling option
REC-00007Canada62.5trueOntarioMUNI-107KingstonSERV-007Building InspectionPermits3202002024-02-012024-02-28falseblank65.92024-03-04T08:21:37blank
REC-00008USA94.2trueTexasMUNI-108Cedar ParkSERV-008Water Bill PaymentPayments420039562024-01-012024-03-31falseEmail Reminders91.32024-04-03T14:38:18blank

What the 28 rows show

from the 28-row sample
  • 89%digital_available = true
  • 62.0median adoption_rate
  • 3service categories
  • 320median total_transactions
  • 219median digital_transactions
  • 66.3median benchmark_comparison
municipality_country28 rows by value
0102020USA71%8Canada29%
adoption_rate28 rows, in bands of 10
0363022235344digital_available from 2002050100adoption_rate →

Every row with adoption_rate of 20 or more has digital_available = true. None below it.

municipality_state28 rows · top 10 of 13 values
  1. Ontario6
  2. California4
  3. Colorado3
  4. Texas3
  5. Utah2
  6. Alberta2
  7. Arizona2
  8. Illinois1
  9. Minnesota1
  10. Wisconsin1
19 columns by typefrom the column list below
  • string 10
  • integer 2
  • float 2
  • date 2
  • datetime 1
  • boolean 2

Columns

19 columns in four groups
blueprint · 19 columns
columntypedescriptionexample
Text 10 columns
record_idstringUnique identifier for each adoption metric recorduniqueREC-00001
municipality_idstringUnique identifier for the municipalityMUNI-101
municipality_namestringName of the municipalitySpringfield
municipality_statestringState or province of the municipalityIllinois
municipality_countrystringCountry of the municipality2 countriesUSA
service_idstringUnique identifier for the municipal serviceSERV-001
service_namestringName of the municipal service (e.g., permit application, tax payment)Permit Application
service_categorystringCategory of the municipal service (e.g., permits, payments, reporting)3 categoriesPermits
bottleneck_descriptionstringDescription of the bottleneck or challenge (if any) affecting digital adoptionoptionalLimited mobile compatibil…
outreach_activitystringType of community outreach or resource planning activity undertaken to improve adoption (if any)optionalOnline Tutorials
Numbers 4 columns
adoption_ratefloatPercentage of total service transactions completed digitally (0-100)0 to 10068.2
total_transactionsintegerTotal number of service transactions in the reporting period0 or more420
digital_transactionsintegerNumber of transactions completed via digital platforms in the reporting period0 or more287
benchmark_comparisonfloatAdoption rate benchmark for similar municipalities or services (0-100)0 to 100 · optional72.5
Dates and times 3 columns
reporting_period_startdateStart date of the reporting period2024-01-01
reporting_period_enddateEnd date of the reporting period2024-03-31
last_updateddatetimeTimestamp of the last update to this record2024-04-07T12:35:17
True or false 2 columns
digital_availablebooleanIndicates whether the service is available on a digital platformtrue
bottleneck_identifiedbooleanIndicates if a bottleneck in digital adoption was identified for this service during the reporting periodfalse

Use it for

  • digital availa…89%25 of 28 rowsmean adoption rate by…61.5USA50.3Canada

    A government dashboard

    The digital_available rate, adoption_rate by municipality_country and a breakdown of municipality_state. Excel, Power BI or Tableau.

  • Why do 25 of 28 rows have digital_available = true?

    A class exercise

    Hand out the rows and one question. Everyone works from the same 28 rows.

  • A software demo

    Believable records with municipality_id, municipality_name and municipality_state to fill a screen in front of a buyer.

Not quite right?

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This dataset28 rows19 columns
Yours10,000 rows19 columnsmunicipality_state: UK only

blueprint · municipal-digital-service-adoption-metrics

Behind this dataset

Same schema. As many rows as you need.

These 28 rows came out of a blueprint — 19 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 municipal service (e.g., permitting, records requests, utility payments)
  • Adoption status fields include: Not Started, Pilot, Active, Optimized
  • Captures monthly unique users and digital transaction count
  • Satisfaction score (1-10) required for each service
  • At least one high-adoption outlier (>90% adoption) present
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
municipal-digital-service-adoption-metrics

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