Hiking Statistics Updated November 2026

Human Written & Fact Checked · Updated

100 Day Hiking Statistics for 2026

Before you quote a day-hiking statistic, check what the researcher called a day hike. A national survey of longer walks, a guided holiday event and a safety-community questionnaire describe different audiences. Their findings become useful when those boundaries stay visible.

This collection brings together historical participation and behaviour benchmarks with recent equipment research. New Zealand participation figures describe adults surveyed in 2019. The US event study describes First Day Hikes in 2016, published in 2019. The emergency-shelter findings come from New Zealand's outdoor research community in February 2026. None is presented as a worldwide participation rate.

Headline figures

  • 2019 NZ survey: Annual day-walk participation among New Zealand adults was 52%. (DOC / UMR, Mar 2020)
  • 2019 NZ survey: Monthly day-walk participation among New Zealand adults was 23%. (DOC / UMR, Mar 2020)
  • 2019 NZ survey: Nelson residents: annual day-walk participation was 62%. (DOC / UMR, Mar 2020)
  • 2019 NZ survey: Gisborne residents: annual day-walk participation was 42%. (DOC / UMR, Mar 2020)
  • 2016 First Day Hikes study: Mean hike distance: 2.1 miles. (Wilcer, Larson, Hallo and Baldwin, May 2019)
  • 2016 First Day Hikes study: Easy hikes: 65.5%. (Wilcer, Larson, Hallo and Baldwin, May 2019)
  • 2016 First Day Hikes study: First participation in a First Day Hike: 60.1%. (Wilcer, Larson, Hallo and Baldwin, May 2019)
  • 2016 First Day Hikes study: Enjoying the outdoors was mentioned by 26.7% of motivation respondents. (Wilcer, Larson, Hallo and Baldwin, May 2019)
  • 2026 NZ outdoor-community survey: Would carry emergency shelter on a day walk of at least three hours: 52%. (NZ Mountain Safety Council, Feb 2026)
  • 2026 NZ outdoor-community survey: Day-walk non-carriers citing insufficient trip length: 64%. (NZ Mountain Safety Council, Feb 2026)
  • 2026 NZ outdoor-community survey: Tarp or fly recognised as an emergency shelter by 75% of respondents. (NZ Mountain Safety Council, Feb 2026)
  • 2026 NZ outdoor-community survey: Weight and packability: requested information from 39.6% of respondents. (NZ Mountain Safety Council, Feb 2026)

How does day-walking participation differ by audience?

A broad participation headline hides substantial differences in frequency. DOC and UMR segmented respondents by their relationship with the outdoors, which is more informative here than assuming every occasional walker wants the same experience.

Which outdoor segments reported annual day walks?

  • Enthusiastic Actives: annual day-walk participation was 72%. (DOC / UMR, Mar 2020)
  • Stimulation Actives: annual day-walk participation was 62%. (DOC / UMR, Mar 2020)
  • Mindful Actives: annual day-walk participation was 61%. (DOC / UMR, Mar 2020)
  • Social Actives: annual day-walk participation was 57%. (DOC / UMR, Mar 2020)
  • Home-Close Actives: annual day-walk participation was 41%. (DOC / UMR, Mar 2020)
  • Other Things Actives: annual day-walk participation was 31%. (DOC / UMR, Mar 2020)

Enthusiastic and stimulation-oriented groups reported the strongest annual participation. These are shares within each named segment, not each segment's share of all day walkers. The underlying question concerned walks lasting more than three hours without an overnight stay. Segment names describe the researchers' model, not a clinical personality classification or a permanent identity. These historical results can inform audience questions, but a current marketing plan should test whether the same distinctions still hold.

Which segments made day walks a monthly habit?

  • Enthusiastic Actives: monthly day-walk participation was 41%. (DOC / UMR, Mar 2020)
  • Stimulation Actives: monthly day-walk participation was 38%. (DOC / UMR, Mar 2020)
  • Mindful Actives: monthly day-walk participation was 24%. (DOC / UMR, Mar 2020)
  • Social Actives: monthly day-walk participation was 20%. (DOC / UMR, Mar 2020)
  • Home-Close Actives: monthly day-walk participation was 17%. (DOC / UMR, Mar 2020)
  • Other Things Actives: monthly day-walk participation was 11%. (DOC / UMR, Mar 2020)

Regular participation was narrower than annual participation across the reported segments. The monthly figures identify frequency within each group instead of the number of outings completed. Monthly participation does not specify how many trips occurred during an active month. Nor does a lower value establish that a group lacked interest: opportunity, preferences and hands-on constraints can coexist. The survey's cross-sectional design cannot determine which explanation caused the pattern.

Where did participating New Zealand adults live?

A residence table is not a destination league table. DOC asked about walks anywhere in New Zealand, so residents could contribute to their home region's participation rate after hiking elsewhere.

Which regions had higher annual participation?

  • West Coast residents: annual day-walk participation was 61%. (DOC / UMR, Mar 2020)
  • Northland residents: annual day-walk participation was 59%. (DOC / UMR, Mar 2020)
  • Auckland residents: annual day-walk participation was 56%. (DOC / UMR, Mar 2020)
  • Marlborough residents: annual day-walk participation was 56%. (DOC / UMR, Mar 2020)
  • Taranaki residents: annual day-walk participation was 55%. (DOC / UMR, Mar 2020)
  • Otago residents: annual day-walk participation was 53%. (DOC / UMR, Mar 2020)
  • Bay of Plenty residents: annual day-walk participation was 52%. (DOC / UMR, Mar 2020)
  • Canterbury residents: annual day-walk participation was 51%. (DOC / UMR, Mar 2020)

The annual estimates varied across regions, with several northern and upper South Island populations reporting substantial involvement. The figures below retain the original residence-based denominator. Regional sample uncertainty counts when interpreting close results. A small numerical difference should not be described as a proven ranking. The original table distinguishes stronger evidence of differences from estimates affected by small samples.

What did the other annual regional estimates show?

  • Southland residents: annual day-walk participation was 51%. (DOC / UMR, Mar 2020)
  • Hawke's Bay residents: annual day-walk participation was 50%. (DOC / UMR, Mar 2020)
  • Wellington residents: annual day-walk participation was 49%. (DOC / UMR, Mar 2020)
  • Tasman residents: annual day-walk participation was 46%. (DOC / UMR, Mar 2020)
  • Manawatu-Whanganui residents: annual day-walk participation was 45%. (DOC / UMR, Mar 2020)
  • Waikato residents: annual day-walk participation was 43%. (DOC / UMR, Mar 2020)

Annual participation remained common across the remaining regions shown here. These figures complete the selected annual comparison alongside the headline observations above. Population size is absent from a percentage comparison. A lower participation rate in a populous region can coexist with more participating residents, and neither measure reveals trail crowding. Trail-counter data would answer a different question. The study also did not assign these walks to particular routes or public-land managers.

Which regions reported monthly day walking?

  • West Coast residents: monthly day-walk participation was 33%. (DOC / UMR, Mar 2020)
  • Northland residents: monthly day-walk participation was 31%. (DOC / UMR, Mar 2020)
  • Taranaki residents: monthly day-walk participation was 30%. (DOC / UMR, Mar 2020)
  • Nelson residents: monthly day-walk participation was 29%. (DOC / UMR, Mar 2020)
  • Auckland residents: monthly day-walk participation was 27%. (DOC / UMR, Mar 2020)
  • Bay of Plenty residents: monthly day-walk participation was 26%. (DOC / UMR, Mar 2020)
  • Marlborough residents: monthly day-walk participation was 25%. (DOC / UMR, Mar 2020)
  • Manawatu-Whanganui residents: monthly day-walk participation was 22%. (DOC / UMR, Mar 2020)
  • Canterbury residents: monthly day-walk participation was 21%. (DOC / UMR, Mar 2020)

Monthly estimates capture repeated involvement more closely than annual reach. This selection shows the upper part of the report's regional table and is not an exhaustive list of regions. The same residence and sampling qualifications apply. These historical estimates should not be combined with later trail counts to calculate growth, because the units and observation periods differ.

What did an organised day hike look like?

Accessible outings deserve a place alongside demanding trail adventures. The First Day Hikes study shows the format of guided holiday events; it does not establish a typical distance for every independent day hike.

How long and demanding were the events?

The sampled events were generally short, with hike leaders assigning difficulty categories. Event-level averages describe the offerings surveyed, instead of a recommended itinerary for an individual visitor. These guided New Year outings are not directly comparable with DOC's longer-walk category. Weather, terrain and group pacing also affect difficulty beyond distance alone. Group-size measures in this block concern all participants on an event, not the family or friends a respondent arrived with.

How did event groups, personal parties and travel differ?

Event attendance, personal party size and travel distance measure different aspects of the same outing. Keeping them separate makes the results more useful for planning access and group management. Travel distances used home and park ZIP-code centres. Holiday visitors influenced the mean. Neither measures distance walked. A personal party could join a larger guided event, so its size should not be substituted for event attendance.

Who joined, and what motivated the walk?

A holiday hike can attract newcomers to an event without attracting newcomers to hiking itself. The original study separates those experiences and records motivations in participants' own words before grouping the responses.

Were participants newcomers or established walkers?

Many participants knew hiking already, even when the park or holiday event was unfamiliar. The audience profile belongs to respondents in the participating state-park systems, not the national population. Adult questionnaires were collected before the walks. Children could accompany respondents but did not form the adult survey base. The findings therefore cannot estimate children's own preferences. Education and gender figures describe sample composition instead of the probability that a person in either group goes hiking.

How did social groups and novelty shape participation?

Personal companions and stated motivations provide complementary information. A person can attend with family while naming scenery or novelty as their main reason for coming. The researchers coded open-ended answers into potentially overlapping themes. The motivation base consisted of respondents who answered that question, so it differs from the full participant sample. Likewise, the number of adults in a personal party does not describe the guided group. These distinctions matter when designing an event for social connection.

Which learning, social and health motives appeared?

Learning, relationships and exercise all appeared among the reported reasons. Their frequencies measure spontaneous mentions, not ratings from a prompted checklist. A missing mention therefore does not prove that a benefit was unwanted. The miscellaneous category combines different reasons and should not become a single audience persona. These results support offering clear descriptions of the experience, while avoiding claims that a specific hike will produce measured health outcomes.

How does shelter carriage change with trip length?

Planning to return the same day can influence what people pack. MSC's questionnaire makes that decision visible, while the overnight comparison shows why day-walking findings should not be generalised from backpacking practice.

Why did respondents leave shelter out of day-walk plans?

Respondents reported both definite non-carriage and uncertainty, while those explaining non-carriage often relied on their expectations of the trip. These are stated decisions, not observed packing inspections. The day-walk question specified a duration of at least three hours. Carriage answers used the full community-survey base, while the reasons panel used its own smaller response base. Reasons could overlap, so they must not be added to estimate the proportion making any unsafe decision. A fine forecast is a reason respondents gave, not evidence that carrying shelter would have been unnecessary.

How did the overnight comparison differ?

The same questionnaire found a different packing pattern for overnight and multiday trips. Planned hut accommodation also appeared in respondents' explanations for leaving emergency shelter behind. The comparison concerns the same research community's reported practice, not matched observations of actual day and overnight journeys. Hut plans describe expectations; the survey does not show whether every respondent reached a hut safely. The reasons question had a separate base and allowed several explanations. These figures therefore cannot be converted into a population count of unprepared hikers.

What did respondents know about emergency shelters?

Recognising equipment and carrying it are separate questions. The knowledge results reveal what participants considered shelter and what information they wanted, which is more useful than treating every familiar product as part of their pack.

Which shelter types did the community recognise?

Respondents recognised several forms of shelter, with variation across the listed items. The question asked what they considered an emergency shelter, instead of which option they would recommend for a particular route. These are community perceptions, not a technical product test. Participants could identify more than one item. The source does not establish equal protection, suitability or durability across those items, and the results should not be interpreted as such. Trip-specific equipment choices require consideration of the actual conditions and the user's ability to use the item.

What information did people want before choosing shelter?

Respondents wanted comparisons, recommendations and hands-on information about use and weather performance. The source reports these interests separately from recognition and carriage. The page does not separately specify a respondent denominator for this information-needs panel, so percentages are reproduced without inferred counts. Nor does it establish that a person requesting advice lacked knowledge of every shelter type. An effective explanation can address the hands-on decision while preserving that distinction: understanding when and how to use equipment is different from recognising its name. These findings identify questions for education, instead of a measured effect of any particular safety campaign.

Glossary

Methodology and sources

Every figure on this page comes from the organisation that produced it: regulators, statistics offices, public bodies, research institutes, and companies reporting their own data or surveys. Each one links to the original report or dataset and carries its release date. Survey results keep their population and fieldwork period, and financial figures keep the measure the producer used. Figures from different producers are not added together or ranked against each other. The page is reviewed monthly and updated when a producer releases newer data.