This article will give you an overview of location-specific sampling structures and sampling sizes from consumer research done for Mintel Reports in the European region. It also has information on additional local specifics where applicable.
📌 Note: While most reports are written for a specific country, we also release regional reports for Europe.
Find more information on our research methods in this article and learn about our analysis techniques in this article.
💡 Tip: As a Mintel Reports subscriber you can find all reports within your subscription by applying the Report content type filter on clients.mintel.com. Every report card on clients.mintel.com includes the location for which the report was released in the bottom left corner.
Regional reports
For regional reports, Mintel surveys five major European locations – France, Germany, Spain, Italy and Poland – with samples of either 1,000 or 2,000 adults aged 16+. The surveys are conducted online, via Kantar Profiles, with ten waves of research a year.
Our consumer research is based on a random sample of consumers from each of the five locations. The research is representative of the online population in each location. Mintel applies a quota-sampling approach with quotas based on age, gender and region. For category-focused reports (eg chocolate confectionery), consumers will typically be asked about usage, frequency and location of purchase, consumption occasion, brand usage and a series of attitudinal statements about the category.
Specific quotas for a sample of 2,000 respondents are shown below.
France
Age groups by gender | % | N (2,000) |
Men, 16-19 | 3.4 | 68 |
Women, 16-19 | 3.2 | 64 |
Men, 20-24 | 3.9 | 78 |
Women, 20-24 | 3.8 | 76 |
Men, 25-34 | 8 | 160 |
Women, 25-34 | 8.3 | 166 |
Men, 35-44 | 8.3 | 166 |
Women, 35-44 | 8.6 | 172 |
Men, 45-54 | 8.7 | 174 |
Women, 45-54 | 9 | 180 |
Men, 55-64 | 7 | 140 |
Women, 55-64 | 7.6 | 152 |
Men, 65+ | 8.7 | 174 |
Women, 65+ | 11.5 | 230 |
Region | % | N (2,000) |
Île de France | 18.9 | 378 |
Centre-Val de Loire / Bourgogne-Franche-Comté | 8.2 | 164 |
Normandie / Hauts-de-France | 14.2 | 284 |
Grand Est | 8.6 | 172 |
Pays de la Loire / Bretagne | 10.9 | 218 |
Nouvelle-Aquitaine / Occitanie | 18.5 | 370 |
Auvergne-Rhône-Alpes | 12.3 | 246 |
Provence-Alpes-Côte d'Azur / Corse | 8.4 | 168 |
Germany
Specific quotas for a sample of 2,000 adults aged 16+ can be found here.
Italy
Age groups by gender | % | N (2,000) |
Men, 16-19 | 3 | 60 |
Women, 16-19 | 2.8 | 56 |
Men, 20-24 | 3.9 | 78 |
Women, 20-24 | 3.6 | 72 |
Men, 25-34 | 8 | 160 |
Women, 25-34 | 7.7 | 154 |
Men, 35-44 | 9.4 | 188 |
Women, 35-44 | 9.4 | 188 |
Men, 45-54 | 10.5 | 210 |
Women, 45-54 | 10.7 | 214 |
Men, 55-64 | 7.4 | 148 |
Women, 55-64 | 7.9 | 158 |
Men, 65+ | 6.8 | 136 |
Women, 65+ | 8.9 | 178 |
Region | % | N (2,000) |
Nord-Ovest | 26.5 | 530 |
Sud | 23.4 | 468 |
Isole | 11 | 220 |
Nord-Est | 19.2 | 384 |
Centro | 19.9 | 398 |
Poland
Age groups by gender | % | N (2,000) |
Men, 16-19 | 3.1 | 62 |
Women, 16-19 | 2.9 | 58 |
Men, 20-24 | 4.4 | 88 |
Women, 20-24 | 4.2 | 84 |
Men, 25-34 | 11.4 | 228 |
Women, 25-34 | 10.9 | 218 |
Men, 35-44 | 12 | 240 |
Women, 35-44 | 11.7 | 234 |
Men, 45-54 | 7.8 | 156 |
Women, 45-54 | 7.8 | 156 |
Men, 55-64 | 6.5 | 130 |
Women, 55-64 | 7.2 | 144 |
Men, 65+ | 4 | 80 |
Women, 65+ | 6.1 | 122 |
Region | % | N (2,000) |
Makroregion Centralny | 9.7 | 194 |
Województwo Mazowieckie | 14 | 280 |
Makroregion Południowy | 20.7 | 414 |
Makroregion Wschodni | 14.2 | 284 |
Makroregion Północno-Zachodni | 16.2 | 324 |
Makroregion Południowo-Zachodni | 10 | 200 |
Makroregion Północny | 15.2 | 304 |
Spain
Age groups by gender | % | N (2,000) |
Men, 16-19 | 2.7 | 54 |
Women, 16-19 | 2.6 | 52 |
Men, 20-24 | 3.3 | 66 |
Women, 20-24 | 3.2 | 64 |
Men, 25-34 | 7.6 | 152 |
Women, 25-34 | 7.5 | 150 |
Men, 35-44 | 10.6 | 212 |
Women, 35-44 | 10.3 | 206 |
Men, 45-54 | 10.2 | 204 |
Women, 45-54 | 10.1 | 202 |
Men, 55-64 | 7.4 | 148 |
Women, 55-64 | 7.7 | 154 |
Men, 65+ | 7.3 | 146 |
Women, 65+ | 9.5 | 190 |
Region | % | N (2,000) |
Noroeste | 9.3 | 186 |
Noreste | 9.5 | 190 |
Comunidad de Madrid | 14.1 | 282 |
Centro | 11.8 | 236 |
Este | 29.1 | 582 |
Sur | 21.3 | 426 |
Canarias | 4.9 | 98 |
Germany reports
Consumer research is conducted among a nationally representative sample of German internet users and is generally carried out by Kantar Profiles, while other suppliers are used on an ad hoc basis as required. The results are only available in our reports.
To ensure our surveys are nationally representative of internet users, Mintel sets quotas for each age group, split by gender. Mintel also sets quotas on region. Specific quotas for a sample size of 2,000 respondents can be found below.
Age groups by gender | % | N (2,000) |
Men, 16-19 | 2.6 | 52 |
Women, 16-19 | 2.4 | 48 |
Men, 20-24 | 3.7 | 74 |
Women, 20-24 | 3.4 | 68 |
Men, 25-34 | 8.5 | 170 |
Women, 25-34 | 7.9 | 158 |
Men, 35-44 | 7.9 | 158 |
Women, 35-44 | 7.7 | 154 |
Men, 45-54 | 9.6 | 192 |
Women, 45-54 | 9.4 | 188 |
Men, 55-64 | 8.3 | 166 |
Women, 55-64 | 8.5 | 170 |
Men, 65+ | 8.8 | 176 |
Women, 65+ | 11.3 | 226 |
Region | % | N (2,000) |
Baden-Württemberg | 13.3 | 266 |
Bayern | 15.8 | 316 |
Berlin | 4.4 | 88 |
Brandenburg | 3 | 60 |
Bremen | 0.9 | 18 |
Hamburg | 2.2 | 44 |
Hessen | 7.5 | 150 |
Mecklenburg-Vorpommern | 1.9 | 38 |
Niedersachsen | 9.6 | 192 |
Nordrhein-Westfalen | 21.6 | 432 |
Rheinland-Pfalz | 4.9 | 98 |
Saarland | 1.2 | 24 |
Sachsen | 4.9 | 98 |
Sachsen-Anhalt | 2.7 | 54 |
Schleswig-Holstein | 3.5 | 70 |
Thüringen | 2.6 | 52 |
Deutschland
Konsumforschung wird mit einer landesweit repräsentativen Stichprobe deutscher Internetnutzer und in der Regel online von Kantar Profiles durchgeführt, wobei je nach Bedarf ad hoc auch andere Anbieter eingesetzt werden können. Die Ergebnisse liegen ausschließlich in Form von Mintel Reports vor.
Um sicherzustellen, dass unsere Umfragen landesweit repräsentativ für Internetnutzer sind, legt Mintel für jede Altersgruppe nach Geschlechtern aufgeteilte Quoten fest. Untenstehend finden Sie genaue Quoten für eine Stichprobe von 2.000 Erwachsenen ab 16 Jahren.
Altersgruppen nach Geschlecht | % | N (2.000) |
Männer, 16-19 | 2,6 | 52 |
Frauen, 16-19 | 2,4 | 48 |
Männer, 20-24 | 3,7 | 74 |
Frauen, 20-24 | 3,4 | 68 |
Männer, 25-34 | 8,5 | 170 |
Frauen, 25-34 | 7,9 | 158 |
Männer, 35-44 | 7,9 | 158 |
Frauen, 35-44 | 7,7 | 154 |
Männer, 45-54 | 9,6 | 192 |
Frauen, 45-54 | 9,4 | 188 |
Männer, 55-64 | 8,3 | 166 |
Frauen, 55-64 | 8,5 | 170 |
Männer, 65+ | 8,8 | 176 |
Frauen, 65+ | 11,3 | 226 |
Bundesland | % | N (2.000) |
Baden-Württemberg | 13,3 | 266 |
Bayern | 15,8 | 316 |
Berlin | 4,4 | 88 |
Brandenburg | 3 | 60 |
Bremen | 0,9 | 18 |
Hamburg | 2,2 | 44 |
Hessen | 7,5 | 150 |
Mecklenburg-Vorpommern | 1,9 | 38 |
Niedersachsen | 9,6 | 192 |
Nordrhein-Westfalen | 21,6 | 432 |
Rheinland-Pfalz | 4,9 | 98 |
Saarland | 1,2 | 24 |
Sachsen | 4,9 | 98 |
Sachsen-Anhalt | 2,7 | 54 |
Schleswig-Holstein | 3,5 | 70 |
Thüringen | 2,6 | 52 |
Ireland reports
Mintel in Ireland uses Dynata for quantitative surveys. Dynata survey a sample of 1,350 ROI and 650 NI consumers. Mintel writes the surveys and Dynata conducts the surveys drawing respondents from participant panels across the island of Ireland.
Age groups by gender | Northern Ireland |
| Republic of Ireland |
|
| % | N (650) | % | N (1,350) |
Men, 16-24 | 7.9 | 52 | 8.1 | 110 |
Women, 16-24 | 7.4 | 48 | 7.9 | 107 |
Men, 25-34 | 9.3 | 60 | 8.8 | 119 |
Women, 25-34 | 9.4 | 61 | 9.1 | 123 |
Men, 35-44 | 8.8 | 57 | 11.0 | 148 |
Women, 35-44 | 9.3 | 60 | 11.5 | 155 |
Men, 45-54 | 9.3 | 61 | 8.9 | 120 |
Women, 45-54 | 9.8 | 63 | 8.9 | 121 |
Men, 55+ | 13.7 | 89 | 12.3 | 167 |
Women, 55+ | 15.2 | 99 | 13.3 | 180 |
| Northern Ireland |
| Republic of Ireland |
|
Social Grade (SEG) | % | N (650) | % | N (1,350) |
AB, C1 | 55 | 358 | 57 | 769 |
C2, D, E, F | 45 | 292 | 43 | 581 |
📌 Note: The socio-economic grades are defined as follows.
AB: senior or intermediate managerial, administrative or professional
C1: junior managerial, administrative or professional; office worker, supervisor; student
C2: skilled manual worker with industry qualifications (eg carpenter, bricklayer, plumber, bus/tram driver, fitness instructor)
D: semi or unskilled manual worker without qualifications (eg traffic warden, checkout operator, dustman, trainee hairdresser)
E: unemployed/retired (state pension)
F: farmer
Region (ROI only) | % | N (1,350) |
City of Dublin | 29 | 391 |
Munster | 24 | 328 |
Leinster (excluding city of Dublin) | 29 | 393 |
Connacht | 10 | 128 |
Ulster (excluding Northern Ireland counties) | 8 | 110 |
📌 Note: The figures in the table above can have a +/- 10% deviation.
United Kingdom reports
Consumer research in the UK is conducted among a nationally representative sample of either adults or internet users and is generally carried out by Kantar Profiles (online) or Ipsos (face to face), while other suppliers are used on an ad hoc basis as required. The results are only available in Mintel Reports.
To ensure our surveys are nationally representative of internet users, Mintel sets quotas for each age group, split by gender. Specific quotas for a sample of 2,000 adults aged 16+ are shown below.
Age groups by gender | % | N (2,000) |
Men, 16-19 | 2.9 | 59 |
Women, 16-19 | 2.8 | 56 |
Men, 20-24 | 4.2 | 84 |
Women, 20-24 | 3.9 | 79 |
Men, 25-34 | 8.9 | 178 |
Women, 25-34 | 8.8 | 175 |
Men, 35-44 | 8.2 | 164 |
Women, 35-44 | 8.4 | 168 |
Men, 45-54 | 8.5 | 170 |
Women, 45-54 | 8.8 | 176 |
Men, 55-64 | 7.8 | 156 |
Women, 55-64 | 8.1 | 161 |
Men, 65-74 | 5.7 | 114 |
Women, 65-74 | 6 | 120 |
Men, 75+ | 3.3 | 66 |
Women, 75+ | 3.7 | 74 |
Mintel also sets quotas on region and socio-economic group. Specific quotas for a sample of 2,000 adults aged 16+ are shown below.
Region | % | N (2,000) |
North East | 4.1 | 83 |
North West | 11.3 | 226 |
Yorkshire & Humberside | 8.5 | 169 |
East Midlands | 7.5 | 150 |
West Midlands | 9.1 | 181 |
East | 9.5 | 190 |
Greater London | 13.8 | 276 |
South East | 14 | 280 |
South West | 8.7 | 175 |
Wales | 4.9 | 98 |
Scotland | 8.6 | 172 |
Socio-economic grade | % | N (2,000) |
A, B | 26 | 520 |
C1 | 29 | 580 |
C2 | 21 | 420 |
D, E | 24 | 480 |
📌 Note: The socio-economic grades are defined as follows.
A: high managerial, administrative or professional
B: intermediate managerial, administrative or professional
C1: supervisor, clerical, junior managerial, administrative or professional
C2: skilled manual worker
D: semi-skilled or unskilled manual worker
E: unemployed
To calculate a panellist’s socio-economic grade, Kantar Profiles ask a set of screening questions at registration to their panel. These questions include employment status and profession (both the panellist's own and that of the household’s chief income earner). Once the panellist has completed these initial questions they are invited to take an additional set of follow-up questions that allow Kantar Profiles to further fine-tune their socio-economic grade. Panellists are required to retake the socio-economic screening questions once a year to ensure that any changes in circumstance are accounted for.
In addition to an extensive list of respondent demographics, selected lifestage groups are included in Mintel’s demographic breaks. Definitions of these groups can be found below.
Under 35s living with parents/family members: Those who are under 35 and live in the home of their parents/family members.
Single-person household: Those who live on their own.
Single-parent family: A single adult who has a child/children of any age living with them all/most of the time.
Dual-parent family: Those who have children of any age living with them all/most of the time and live with a spouse or partner.
Couples without children of any age: Those who live with a partner and do not have children (of any age).
Empty nesters: Those aged 45+ who have children aged over 18 who do not live with them (they also do not have any children aged 18 and under living with them all/most of the time).