A retiree, a child, and a young adult represent MBI's age bands.

Age Bands

WHAT ARE AGE BANDS?

Age bands are an effective planning fundament for the distribution of your products and services. Their power can also be harnessed to improve consumer targeting, to understand market opportunities and to quantify the consumers’ potential demand.

For example, brochures can be distributed more efficiently by advertising only those areas in which promising age groups are represented above average.

AGE BANDS IN STEPS OF 5 AND 15

Our product portfolio includes two types of age classes. This gives you the flexibility to choose the type that suits your application and requirements.

AGE BANDS BASIC

Basic Age Bands data comprises:

  • Two digit country code by ISO 3166
  • Administrative Code/ Postal Code/ Micro-Code
  • Name of administrative area/ Name of the most populous administrative area/ Name of the respective micro-area or the next higher level
  • Population by age: 0–14 years, total
  • Population by age: 0–14 years, male
  • Population by age: 0–14 years, female
  • Population by age: 15–29 years, total
  • Population by age: 15–29 years, male
  • Population by age: 15–29 years, female
  • Population by age: 30–44 years, total
  • Population by age: 30–44 years, male
  • Population by age: 30–44 years, female
  • Population by age: 45–59 years, total
  • Population by age: 45–59 years, male
  • Population by age: 45–59 years, female
  • Population by age: 60 years and above, total
  • Population by age: 60 years and above, male
  • Population by age: 60 years and above, female

AGE BANDS ADVANCED

The structure corresponds to the Age Bands Basic, with the difference that an age band comprises only 5 years at a time, which allows even more precise analyses.

Advanced Age Bands comprises:

  • Two digit country code by ISO 3166
  • Administrative Code/ Postal Code/ Micro-Code
  • Name of administrative area/ Name of the most populous administrative area/ Name of the respective micro-area or the next higher level
  • Population by age: 0–4 years, total
  • Population by age: 0–4 years, male
  • Population by age: 0–4 years, female
  • Population by age: 5–9 years, total
  • Population by age: 5–9 years, male
  • Population by age: 5–9 years, total
  • Population by age: 10–14 years, total
  • Population by age: 10–14 years, male
  • Population by age: 10–14 years, female
  • Population by age: 15–19 years, total
  • Population by age: 15–19 years, male
  • Population by age: 15–19 years, female
  • Population by age: 20–24 years, total
  • Population by age: 20–24 years, male
  • Population by age: 20–24 years, female
  • Population by age: 24–29 years, total
  • Population by age: 24–29 years, male
  • Population by age: 24–29 years, female
  • Population by age: 30–34 years, total
  • Population by age: 30–34 years, male
  • Population by age: 30–34 years, female
  • Population by age: 35–39 years, total
  • Population by age: 35–39 years, male
  • Population by age: 35–39 years, female
  • Population by age: 40–44 years, total
  • Population by age: 40–44 years, male
  • Population by age: 40–44 years, female
  • Population by age: 45–49 years, total
  • Population by age: 45–49 years, male
  • Population by age: 45–49 years, female
  • Population by age: 50–54 years, total
  • Population by age: 50–54 years, male
  • Population by age: 50–54 years, female
  • Population by age: 55–59 years, total
  • Population by age: 55–59 years, male
  • Population by age: 55–59 years, female
  • Population by age: 60–64 years, total
  • Population by age: 60–64 years, male
  • Population by age: 60–64 years, female
  • Population by age: 65–69 years, total
  • Population by age: 65–69 years, male
  • Population by age: 65–69 years, female
  • Population by age: 70–74 years, total
  • Population by age: 70–74 years, male
  • Population by age: 70–74 years, female
  • Population by age: 75 years and above, total
  • Population by age: 75 years and above, male
  • Population by age: 75 years and above, female

The advanced age bands are particularly useful for analyzing young age groups, as their needs change at shorter intervals. For example, this data is valuable for providers of baby products, products for students, or mobile contracts for teenagers.

Since the advanced data classes cover ages 0 to 75, they are also particularly suitable for analyzing customer groups over 60.

Note: The extended age groups are only available in conjunction with the Advanced Sociodemographics-Bundle.

Sample of the Data Structure: “Age Bands Basic” on municipality level for the Czech Republic

dmincode Name Population by age and sex Population by age and sex
    total 0 to 14
  Municipality/Obce number per mill
of country
total number male number female number
532100 Blevice 133 152 38 19 19
532169 Buštěhrad 1.333 1.458 385 197 188
532282 Dřetovice 237 263 81 42 39
532495 Koleč 314 309 103 56 47
532681 Otvovice 339 335 96 52 44
532827 Slatina 221 223 66 35 31
532851 Stehelčeves 381 342 94 52 42
532975 Třebusice 273 237 95 53 42
533092 Zákolany 263 278 69 36 33
534951 Kralupy nad Vltavou 8.614 9.112 2.559 1.323 1.236
           
Czech Republic 5.161.340 5.357.230 1.486.964 766.176 720.788

 

Admincode Name Population by age and sex Population by age and sex
    15 to 29 30 to 44
  Municipality/Obce total
number
male
number
female
number
total
number
male
number
female
number
532100 Blevice 47 23 24 60 29 31
532169 Buštěhrad 514 257 257 624 312 312
532282 Dřetovice 84 41 43 113 56 57
532495 Koleč 98 52 46 134 71 63
532681 Otvovice 114 60 54 143 76 67
532827 Slatina 91 47 44 99 51 48
532851 Stehelčeves 136 75 61 161 89 72
532975 Třebusice 102 56 46 128 70 58
533092 Zákolany 121 62 59 102 52 50
534951 Kralupy nad Vltavou 3.440 1.742 1.698 3.986 2.014 1.972
             
Czech Republic 2.139.542 1.103.498 1.036.044 2.349.629 1.207.899 1.141.730

 

Admincode Name Population by age and sex Population by age and sex
    45 to 59 60 and above
  Municipality/Obce total
number
male
number
female
number
total
number
male
number
female
number
532100 Blevice 68 32 36 72 30 42
532169 Buštěhrad 595 292 303 673 275 398
532282 Dřetovice 101 49 52 121 49 72
532495 Koleč 135 70 65 153 65 88
532681 Otvovice 144 75 69 177 76 101
532827 Slatina 102 52 50 86 36 50
532851 Stehelčeves 174 93 81 158 72 86
532975 Třebusice 97 52 45 88 42 46
533092 Zákolany 113 57 56 136 56 80
534951 Kralupy nad Vltavou 4.026 1.971 2.055 3.715 1.564 2.151
             
Czech Republic 2.267.569 1.127.693 1.139.876 2.274.866 956.074 1.318.792

Potential Business Applications

  • Quantify regional sales opportunities / market potentials
  • Focus on marketing activities locally
  • Formulate realistic and quantified objectives
  • Identify unused market potential
  • Restructure and optimize market and sales areas
  • Develop expansion strategies
  • Evaluate areas for strengths and weaknesses
  • Map marketing campaigns

KEY DIFFERENTIATORS

Globally consistent and comparable data

Strict quality control

Individual consulting and support

Continuous updating

100 % GDPR compliant

COUNTRY AVAILABILITY

Europe | North America | South America | Asia | Oceania | Africa

AREA BOUNDARIES

• Postcode Level
• Administrative Area Level
• Small Area Level

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DATA FORMATS

Tab delimited file (TXT) | KML | Access database (MDB) | Excel (xls) | Esri Shapefile (.shp) | Esri Geodatabase (.gdb) | MapInfo (.tab) | MapInfo MIF/MID | more on request

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DATALINK API

Easy access to a variety of MBI data
• Datalink Desktop
• Datalink Rest API

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WE WILL GLADLY ASSIST YOU IN SELECTING THE DATA NEEDED TO REACH YOUR GOAL.

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Our experts will be happy to advise you individually and without obligation on which data you can use to create added value for your company and realize savings.

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