Demographic information

This section reports on the demographic profile of 2024 survey respondents (Table 1).

The largest ethnic groups of respondents were New Zealand European (57%), followed by Māori (8.8%), Indian (7.9%) and Pacific Peoples (5.2%). The sample also has a higher proportion of females (62.4%) than males (36.9%) or those identifying as another gender (0.8%), as shown in Figure 1.

Figure 1. Which gender do you most identify with?
A pie chart showing the distribution of gender among respondents. Female 62.4%, Male 36.9%, Other gender 0.8%.

N = 1,031

Nearly 40% of the sample were younger than 30 years (38.2%), including 8.4% who were aged 15 to 19 years. The largest grouping was those aged 30 to 50 years (43.1%). A further 18.6% were aged over 50 years, including 6.7% who were aged 60 years or older. This age profile is somewhat consistent with the 2022 He Tangata Hospitality and Tourism report that found the largest group to be 30 to 50 years. However, while the 2022 He Tangata report noted similar results in the age brackets of 15 to 19 (6.5%) and 30 to 49 (40.4%), the 2022 report noted significantly higher results for the 50+ (27.8%) and 60+ (10.3%) age groups.

Table 1. Demographic profile
Gender (n = 1,031)
Characteristic Number of responses Percentage of responses
Male 380 36.9%
Female 643 62.4%
Another gender 8 0.8%
Age group (years) (n = 1,030)
Characteristic Number of responses Percentage of responses
15 to 19 87 8.4%
20 to 24 161 15.6%
25 to 29 146 14.2%
30 to 34 151 14.7%
35 to 39 130 12.6%
40 to 44 107 10.4%
45 to 49 56 5.4%
50 to 54 67 6.5%
55 to 59 56 5.4%
60 to 64 31 3%
65+ 38 3.7%
Ethnicity (n = 1,031)
Characteristic Number of responses Percentage of responses
New Zealand European 588 57%
Māori 91 8.8%
Pacific peoples 54 5.2%
Indian 81 7.9%
Filipino 37 3.6%
Chinese 43 4.2%
Other Asian 53 5.1%
Middle Eastern/Latin American/African 22 2.1%
Other 62 6%

Almost 15% of respondents identified as neurodivergent (e.g., ADHD, dyslexia, autism) and close to 10% responded that they were ‘unsure’ (Figure 2).

Figure 2. Do you consider yourself to be neurodivergent?
A pie chart showing the proportion of respondents who identify as eurodivergent. Yes 14.6%, No 75.6%, Unsure 9.8%.

N = 1,031

Most respondents (92.7%) were New Zealand citizens or permanent residents. The other 75 respondents were mainly in the 3 categories of accredited employer work visa (48.0%), another work visa (18.7%), and working holiday visa (9.3%).

Figure 3. Are you a New Zealand citizen or permanent resident?
A pie chart showing the proportion of respondents who are New Zealand citizens or permanent residents. Yes 92.7%, No 7.3%.

N = 1,031

Table 2 shows that the 2 largest groups of respondents were those with a bachelor’s degree (28.1%), closely followed by those with NCEA or another school leaver qualification (27.4%). The results show that around two-thirds (66.9%) of respondents were tertiary qualified.

Table 2. What is your highest qualification
Qualification Number of responses Percentage of responses
No qualifications 46 4.5%
NCEA or other high school leaver qualification 282 27.4%
Certificate 138 13.4%
Diploma 159 15.4%
Bachelor's degree 290 28.1%
Postgraduate degree 103 10%
Other 13 1.3%

(n = 1,031)

Nearly 80% of respondents were not currently studying, suggesting some opportunities for further development. Of the 225 respondents currently studying, just 83 (36.9%) were studying for a qualification in hospitality or tourism.

Figure 4. Are you studying toward a formal qualification (e.g. diploma or degree) in hospitality or tourism?
A tree diagram showing the number of respondents who are studying towards a formal qualification, and those who are not studying. Of those currently studying, there are 2 subdivisions representing those studying hospitality or tourism, and those studying something else. Full transcript below image.

As figure 5 shows, many respondents lived in a property they owned (33.5%), followed by those who rented with others (30.6%).

Figure 5. What is your living situation?
An illustration of different living situations, showing the distribution of among respondents. Full transcript below image.

Note: N = 1,031

Location of work

Figure 6. Location of work
 A map of New Zealand with colour-coded areas to show the geographic distribution of respondents. Full transcript available below image.

Note: N = 1,029

A more detailed geographic information is available in Appendix 3.

Two-thirds of respondents were not union members (Figure 7), and 42.0% of Māori and 48.6% of Filipino respondents were union members, as were 64.6% of Pacific Peoples that responded. 

Higher union membership density was found in the younger age groups; for example, 42.6% of those younger than 25 years were union members. Union density was lowest in small organisations (9.2% of union members in organisations with 1 to 5 people, rising to 39.9% in organisations with 100 or more employees).

Figure 7. Union membership status
An illustration of 3 fists, showing the union membership status of respondents. Full transcript below image.

Note: N = 975

Tenure

Most respondents (35.8%) had worked in the industry for 3 years or less (Table 3), followed by 19.3% who had been in the industry for between 3 and 5 years, and 20.8% had careers of 5 to 10 years, with 24.1% having careers of 10 years or more. Compared with the 2022 He Tangata report, 28% of respondents had worked for 3 years or less, 19.7% had worked for 3 to 6 years, and 52.3% had careers of 6 years or more. Both surveys show that around half of the respondents have had relatively long-term careers of 5 years or more.

Table 3. How long have you worked in the hospitality or tourism sector?
Duration Number of responses Percentage of responses
Less than 1 year 99 9.6%
Between 1 and 3 years 270 26.2%
Between 3 and 5 years 199 19.3%
Between 5 and 10 years 215 20.8%
Between 10 and 20 years 147 14.2%
More than 20 years 102 9.9%

Respondents by sub-sector

Accommodation provided the largest number of respondents (27.9%), followed by fast-food/takeaways (15.3%), restaurants and cafes (20.9%), tourism/travel/transport (19.7%), and other hospitality (13.1%). Similarly, in the 2022 He Tangata report, accommodation also provided the largest number of respondents (27.8%), followed by tourism/travel/transport (25.0%), restaurants and cafes (17.3%), fast food/takeaways (7.6%), and other hospitality (7.3%).

Organisation size

Most (69.8%) of the hospitality, travel and tourism businesses were small and medium-sized enterprises with fewer than 50 employees (Table 4). A significant percentage of those small and medium-sized enterprises were very small organisations, with 44.1% having fewer than 20 employees. A total of 14.6% of organisations had 50 to 99 employees, and a significant 15.6% of businesses had over 100 staff. The 2022 He Tangata report showed a very similar results.

Table 4. Approximately how many people are employed in your place of work?
Number Number of responses Percentage of responses
1 to 5 138 13.4%
6 to 19 317 30.7%
20 to 49 265 25.7%
50 to 99 151 14.6%
100+ 161 15.6%

Front-line staff vs managers/supervisors

The survey showed a nearly even split between managers and supervisors (49.3%) and front-line/non-managerial workers (50.7%) (Figure 8).

Figure 8. Do you manage staff?
A pie chart showing the proportion of respondents who manage staff. Full transcript below image.

Note: N = 1,029

Employees by sector

The largest percentage (18.3%) of front-line employees were from the fast-food sector (see appendix 2), followed by waiters and food and beverage attendants (13.5%), other hospitality roles (11.8%), chefs/kitchen hands (11.6%), administration/marketing roles (10.8%), housekeeping/cleaners (9.4%), tourism and travel (7.4%), hotel front office (7%), and transport/airlines (2.4%). Hospitality roles comprised 55.2% of the front-line roles, whereas tourism, travel, accommodation and administration comprised 37%. The 2022 He Tangata report did not capture front-line roles.