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Mintel Reports – Europe sampling structures
Mintel Reports – Europe sampling structures

Details on the sampling structures and sizes for our European Mintel Reports consumer research panels and other location specifics.

Updated over a week ago

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: 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.

A screenshot of a report card on clients.mintel.com. In the bottom left corner, the location Ireland is highlighted.

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).

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