Dr Cranky's — Impact Dashboard

Vehicles worked on

bikes, scooters & more — since 2014

Community connections

Extra rides / year

estimated from 1,014 survey responses

Operations by year

2026 figure is partial year to April. Operation counts include retrospectively recorded sessions at Reservoir Leisure Centre and Nightcliff Primary School.

Council areas — top 8 of 23

Program types

Bicycle Hospital 53% School Bike Check 28% Community Bike Check 11% Other 8%

Settings served

Council areas

Critical repairs — from Jul 2025

Total repair actions

Bikes given to children

Critical repairs — from Jul 2025

Operation type

Repairs performed

5,148

Bikes given to children

2,393

Donations received

2,460

Trade-ins

134

Salvage (parts)

Bikes given includes 66 scooters and other non-bike vehicles.

Safety items provided

Locks

967

Helmets

938

Lights

Safety items provided in addition to bike repairs or gifts — not counted separately as operations.

Top repair actions

Critical repairs — recorded from July 2025

From July 2025 we began formally recording safety-critical repairs — brake failures, unsafe wheels, and structural faults identified and fixed before a bike is returned to its rider. 195 critical repairs have been identified and resolved to date. As recording matures across all program types this figure will grow and provide richer safety data.

11,765

Total connection interactions

8,093 unique individuals

6,150

Children reached

unique receivers — estimated

121

Settings

across 23 council areas

How we count connections: When a parent brings a child to a session, that's two connections — the child who receives the bike and the parent who accompanies them. Our connections count captures every unique individual we meet: children, parents, donors, volunteers, and staff — deduplicated by name across all roles.

Connections breakdown

Children (receivers)

4,582

Parents / guardians

3,467

Adults (self)

1,411

Donors (bikes in)

2,460

Totals are deduplicated across all roles — a person who is both a donor and a parent is counted once. Adults listed as "self" are mostly adults who came for their own bike. 153 records with no receiver name estimated at 60% uniqueness rate.

Relationship to rider

Mother

3,092

Self

1,411

Father

1,373

Unknown

1,545

Staff / volunteer

162

Extended family

Cultural background estimated

European 44% African 17% Asian 13% Sub-continent 12% Unknown 13% Other 1%

Cultural background is estimated by our team based on name and conversation — it is not self-reported. These figures should be interpreted with care.

Age & gender of riders

Age groups

0–4 years

254

5–9 years

3,052

10–14 years

1,880

15–18 years

181

Adult

1,491

Gender

Male — 4,479 (58%) Female — 2,728 (35%) Unknown / other — 570 (7%)

9.1

Avg rides / month at intake

self-reported at time of session

+8.7

Extra rides / month

mean from 1,014 survey responses

~635K

Est. extra rides / year

survey mean × unique receivers × 12

Rides per month — at intake and at follow-up survey

At intake: average 7.4 rides/month (survey respondents). At follow-up survey: average 16.1 rides/month — an increase of 8.7 rides/month. Bimodal intake distribution reflects both sedentary participants (0 rides) and regular riders (20–29/month) using our service.

How we measure extra rides generated

At intake we record how often each rider currently rides. A few months later we follow up to ask again — in person or by SMS. The increase is attributed to our program.

Extrapolated across 6,150 unique participants (name + contact + setting deduplication; null names estimated at 61% uniqueness rate):

6,150 unique receivers × weighted setting average (8.72 global mean) × 12 months ≈ 635,000 extra rides/year

Survey results

Survey responses (n)1,014

Avg rides/month at intake7.4

Avg rides/month at survey16.1

Mean extra rides/month+8.7

Median extra rides/month+8.0

95% confidence interval8.1–9.4

Riders reporting increase76%

Survey respondents rode less at baseline (7.4 vs 9.4 rides/month overall) — suggesting our program reaches lower-activity riders who benefit most. A small number of second follow-up responses (n=25) suggest the effect persists, but the sample is too small to report separately.