Spotzi's Income dataset for the United States offers valuable insights into the intricacies of yearly income at various levels. This dataset is meticulously curated, presenting a detailed analysis of total income, types of household earnings, and the critical aspect of whether households are above the poverty level. This dataset is available at Census Block level, and allows for a holistic understanding of the economic landscape at both regional and national scales.

What is included?

Each data variable is presented as a percentage of the total population within each selected area. Please see below for a complete list of available data variables:

Income

• Individual Yearly Income: Under 10K, 10K-20K, 20K-35K, 35K-50K, 50K-100K, 100K+
• Individual Yearly Income - Female: Under 10K, 10K-20K, 20K-35K, 35K-50K, 50K-100K, 100K+
• Individual Yearly Income - Male: Under 10K, 10K-20K, 20K-35K, 35K-50K, 50K-100K, 100K+
• Household Income Earning Status: Earns Income, Does Not Earn Income
• Households Below Poverty Level

Household Earnings By Type

• Salary
• Interest Dividends
• Retirement Income
• Self-Employment

• • Individual Yearly Income: Marketers can leverage individual income data to tailor their strategies based on the financial capacities of their target audience. For example, luxury brands may target individuals with higher income brackets, while budget-conscious brands may focus on those with lower income levels.
  • Household Earning by Type: Marketers can use this data to understand the sources of household income, allowing for targeted campaigns. For example, financial services may tailor promotions based on the types of income earned, offering retirement planning services to those with significant retirement income.

• This demographic data is typically available at the census block level. These blocks are smaller, more detailed units designed for statistical purposes, enabling a more precise analysis of population, housing, and demographic data. Census blocks may vary in size and shape but are generally more localized compared to ZIP codes.

  Still looking for demographic data at the postal code level? Contact sales.

• There are numerous other census data datasets available for the United States, covering a wide range of demographics. These include information on:

  • Commuting
  • Educational Attainment
  • Employment
  • Families
  • Finance
  • Housing

Our Demographics package in the USA offers data pertaining to the households of residents of the United States of America at Census Block Level. Each data variable is available as a sum, or as a percentage of the total population within each selected area.

What is included?

At the Census Block level, this dataset includes some of the following key features:

Household Data

• Household Statistics: Number of Households and Age of Children in Households.
• Marriage Status: Married, Divorced, Never Married and Widowed.
• Household Types: Single-Person Households, Households with Children etc.
• Language Spoken in Households: English, Limited English etc.

• • Household Statistics: Marketers can use this data to understand the size and composition of households, allowing for targeted campaigns. For instance, companies offering family-oriented products can tailor promotions based on the presence and age of children in households, ensuring that their messaging resonates with the specific needs of different family structures.
  • Marriage Status: This data provides valuable insights into the marital status of individuals, enabling marketers to tailor their messaging based on relationship status. For example, businesses offering wedding-related services may focus on advertising to engaged or newly married individuals, while financial institutions may customize their promotions based on the unique financial considerations of divorced or widowed individuals.
  • Household Types: Understanding the various household types helps marketers create targeted campaigns. For example, real estate agencies may target single-person households with advertisements for apartments or studios, while companies offering family-friendly products can focus on households with children.
  • Language Spoken in Households: This data variable assists marketers in tailoring their communication strategies based on the predominant language spoken in households. For instance, businesses can create multilingual advertising content to effectively reach and engage diverse linguistic demographics, ensuring that their messages are understood and resonate with the target audience.

• This demographic data is typically available at the census block level. These blocks are smaller, more detailed units designed for statistical purposes, enabling a more precise analysis of population, housing, and demographic data. Census blocks may vary in size and shape but are generally more localized compared to ZIP codes.

  Still looking for demographic data at the postal code level? Contact sales.

• There are numerous other census data datasets available for the United States, covering a wide range of demographics. These include information on:

  • Commuting
  • Educational Attainment
  • Employment
  • Families
  • Finance
  • Housing

Our Demographics package in the USA offers data pertaining to the education of residents of the United States of America at Census Block Level. Each data variable is available as a sum, or as a percentage of the total population within each selected area.

What is included?

At the Census Block level, this dataset includes some of the following key features:

Highest Educational Attainment

• High-school Diploma
• College - No Degree
• GED
• Associates Degree
• Bachelor's Degree
• Master's Degree
• Doctorate Degree
• Professional School Degree

Schooling In Child Population

• No Schooling
• Nursery School
• Kindergarten
• Primary School

Bachelor's Degree Attained

• Arts/Humanities/Other
• Business
• Education
• Science/Engineering

• • Highest Educational Attainment: Marketers can use this data to tailor their campaigns based on the level of education achieved by their target audience. For instance, educational institutions may focus on promoting advanced degree programs to individuals with a bachelor's degree or higher, while brands offering products related to skill development might target those with a high-school diploma or college degree.
  • Schooling In Child Population: This data provides insights into the educational stages of the child population, allowing marketers to customize their strategies. For example, companies specializing in children's products can create targeted promotions for specific age groups, such as educational toys for those in nursery or kindergarten.
  • Bachelor's Degree Attained: Marketers can leverage this information to tailor campaigns based on the specific field of study for individuals with a bachelor's degree. For instance, businesses offering services aligned with certain disciplines, like technology or the arts, can refine their messaging to appeal to the interests and preferences associated with each academic field.

• This demographic data is typically available at the census block level. These blocks are smaller, more detailed units designed for statistical purposes, enabling a more precise analysis of population, housing, and demographic data. Census blocks may vary in size and shape but are generally more localized compared to ZIP codes.

  Still looking for demographic data at the postal code level? Contact sales.

• There are numerous other census data datasets available for the United States, covering a wide range of demographics. These include information on:

  • Commuting
  • Educational Attainment
  • Employment
  • Families
  • Finance
  • Housing

Socio-demographic characteristics of participants (n = 113).

description: A Visitor Study and Report on the Connections between People, Place and Bison Conservation at the Rocky Mountain Arsenal National Wildlife Refuge. This study makes an important contribution to visitor management and human dimensions of wildlife research at the Rocky Mountain Arsenal National Wildlife Refuge (RMA or Refuge) in metropolitan Denver. Denver Zoo researchers conducted visitor-intercept interviews to collect data about how the Refuge s conservation bison herd, reintroduced in 2009, is shaping the visitor experience. This report summarizes the 2015 findings of this work including the socio-demographic characteristics of Refuge visitors, their self-reported site use patterns and experiences, and their sense of connection to this grassland protected area and its conservation bison herd. Research findings illuminate greater opportunities for RMA, as an urban refuge, to attract and engage Denver publics and other visitors through its bison conservation herd, cementing the value of RMA herd for social and ecological benefit. Denver Zoo s conservation social science team conducted 100 visitor-intercept interviews with Refuge visitors from early July to late August 2015. These interviews followed the pilot testing of a structured interview guide in mid-June 2015. A multi-stage random sampling design for the visitor intercepts ensured a highly representative sample. Interviews were conducted across a range of weeks, days (e.g. weekdays and weekends), and times (morning and afternoon) to capture a variety of visitors. In conclusion, the Refuge s bison herd motivates visitation for almost 20% of Refuge visitors. The herd is seen by visitors as an asset and natural amenity that adds value to their experience and sense of connection to the Refuge. Looking forward, the Refuge s conservation bison herd is an opportunity for attracting broader audiences and supporters, across metropolitan Denver and more globally, to the Refuge and connecting them to the grassland ecosystem it protects. Moreover, the Refuge bison herd is a highly recognizable ambassador herd (and part of the U.S. Fish and Wildlife Service s bison meta-population critical for conservation) that can be interpreted to more effectively demonstrate to urban audiences the importance and value of grassland restoration and contemporary bison recovery across the American West.; abstract: A Visitor Study and Report on the Connections between People, Place and Bison Conservation at the Rocky Mountain Arsenal National Wildlife Refuge. This study makes an important contribution to visitor management and human dimensions of wildlife research at the Rocky Mountain Arsenal National Wildlife Refuge (RMA or Refuge) in metropolitan Denver. Denver Zoo researchers conducted visitor-intercept interviews to collect data about how the Refuge s conservation bison herd, reintroduced in 2009, is shaping the visitor experience. This report summarizes the 2015 findings of this work including the socio-demographic characteristics of Refuge visitors, their self-reported site use patterns and experiences, and their sense of connection to this grassland protected area and its conservation bison herd. Research findings illuminate greater opportunities for RMA, as an urban refuge, to attract and engage Denver publics and other visitors through its bison conservation herd, cementing the value of RMA herd for social and ecological benefit. Denver Zoo s conservation social science team conducted 100 visitor-intercept interviews with Refuge visitors from early July to late August 2015. These interviews followed the pilot testing of a structured interview guide in mid-June 2015. A multi-stage random sampling design for the visitor intercepts ensured a highly representative sample. Interviews were conducted across a range of weeks, days (e.g. weekdays and weekends), and times (morning and afternoon) to capture a variety of visitors. In conclusion, the Refuge s bison herd motivates visitation for almost 20% of Refuge visitors. The herd is seen by visitors as an asset and natural amenity that adds value to their experience and sense of connection to the Refuge. Looking forward, the Refuge s conservation bison herd is an opportunity for attracting broader audiences and supporters, across metropolitan Denver and more globally, to the Refuge and connecting them to the grassland ecosystem it protects. Moreover, the Refuge bison herd is a highly recognizable ambassador herd (and part of the U.S. Fish and Wildlife Service s bison meta-population critical for conservation) that can be interpreted to more effectively demonstrate to urban audiences the importance and value of grassland restoration and contemporary bison recovery across the American West.

Our Demographics package in the USA offers data pertaining to the households of residents of the United States of America at Census Block Level. Each data variable is available as a sum, or as a percentage of the total population within each selected area.

What is included?

At the Census Block level, this dataset includes some of the following key features:

Household Data

• Household Statistics: Number of Households and Age of Children in Households.
• Marriage Status: Married, Divorced, Never Married and Widowed.
• Household Types: Single-Person Households, Households with Children etc.
• Language Spoken in Households: English, Limited English etc.

• • Household Statistics: Marketers can use this data to understand the size and composition of households, allowing for targeted campaigns. For instance, companies offering family-oriented products can tailor promotions based on the presence and age of children in households, ensuring that their messaging resonates with the specific needs of different family structures.
  • Marriage Status: This data provides valuable insights into the marital status of individuals, enabling marketers to tailor their messaging based on relationship status. For example, businesses offering wedding-related services may focus on advertising to engaged or newly married individuals, while financial institutions may customize their promotions based on the unique financial considerations of divorced or widowed individuals.
  • Household Types: Understanding the various household types helps marketers create targeted campaigns. For example, real estate agencies may target single-person households with advertisements for apartments or studios, while companies offering family-friendly products can focus on households with children.
  • Language Spoken in Households: This data variable assists marketers in tailoring their communication strategies based on the predominant language spoken in households. For instance, businesses can create multilingual advertising content to effectively reach and engage diverse linguistic demographics, ensuring that their messages are understood and resonate with the target audience.

• This demographic data is typically available at the census block level. These blocks are smaller, more detailed units designed for statistical purposes, enabling a more precise analysis of population, housing, and demographic data. Census blocks may vary in size and shape but are generally more localized compared to ZIP codes.

  Still looking for demographic data at the postal code level? Contact sales.

• There are numerous other census data datasets available for the United States, covering a wide range of demographics. These include information on:

  • Commuting
  • Educational Attainment
  • Employment
  • Families
  • Finance
  • Housing

Section 1: Population tables and population statistics

This MSOA atlas provides a summary of demographic and related data for each Middle Super Output Area in Greater London. The average population of an MSOA in London in 2010 was 8,346, compared with 1,722 for an LSOA and 13,078 for a ward.

The profiles are designed to provide an overview of the population in these small areas by combining a range of data on the population, births, deaths, health, housing, crime, commercial property/floorspace, income, poverty, benefits, land use, environment, deprivation, schools, and employment.

If you need to find an MSOA and you know the postcode of the area, the ONS NESS search page has a tool for this.

The MSOA Atlas is available as an XLS as well as being presented using InstantAtlas mapping software. This is a useful tool for displaying a large amount of data for numerous geographies, in one place (requires HTML 5).

CURRENT MSOA BOUNDARIES (2011)

Excel

Instant Atlas

PREVIOUS MSOA BOUNDARIES (2001)

Excel

Instant Atlas

NB. It is currently not possible to export the map as a picture due to a software issue with the Google Maps background. We advise you to print screen to copy an image to the clipboard.

Tips:

1. - Select a new indicator from the Data box on the left. Select the theme, then indicator and then year to show the data.

2. - To view data just for one borough*, use the filter tool.

3. - The legend settings can be altered by clicking on the pencil icon next to the MSOA tick box within the map legend.

4. - The areas can be ranked in order by clicking at the top of the indicator column of the data table.

Themes included here are Census 2011 Population, Mid-year Estimates, Population by Broad Age, Households, Household composition, Ethnic Group, Country of Birth, Language, Religion, Tenure, Dwelling type, Land Area, Population Density, Births, General Fertility Rate, Deaths, Standardised Mortality Ratio (SMR), Population Turnover Rates (per 1000), Crime (numbers), Crime (rates), House Prices, Commercial property (number), Rateable Value (£ per m2), Floorspace; ('000s m2), Household Income, Household Poverty, County Court Judgements (2005), Qualifications, Economic Activity, Employees, Employment, Claimant Count, Pupil Absence, Early Years Foundation Stage, Key Stage 1, GCSE and Equivalent, Health, Air Emissions, Car or Van availability, Income Deprivation, Central Heating, Incidence of Cancer, Life Expectancy, and Road Casualties.

• The London boroughs are: City of London, Barking and Dagenham, Barnet, Bexley, Brent, Bromley, Camden, Croydon, Ealing, Enfield, Greenwich, Hackney, Hammersmith and Fulham, Haringey, Harrow, Havering, Hillingdon, Hounslow, Islington, Kensington and Chelsea, Kingston upon Thames, Lambeth, Lewisham, Merton, Newham, Redbridge, Richmond upon Thames, Southwark, Sutton, Tower Hamlets, Waltham Forest, Wandsworth, Westminster.

These profiles were created using the most up to date information available at the time of collection (Spring 2014).

You may also be interested in LSOA Atlas and Ward Atlas.

The ward profiles and ward atlas provide a range of demographic and related data for each ward in Greater London. They are designed to provide an overview of the population in these small areas by presenting a range of data on the population, diversity, households, life expectancy, housing, crime, benefits, land use, deprivation, and employment. Indicators included here are population by age and sex, land area, projections, population density, household composition, religion, ethnicity, birth rates (general fertility rate), death rates (standardised mortality ratio), life expectancy, average house prices, properties sold, housing by council tax band, tenure, property size (bedrooms), dwelling build period and type, mortgage and landlord home repossession, employment and economic activity, Incapacity Benefit, Housing Benefit, Household income, Income Support and JobSeekers Allowance claimant rates, dependent children receiving child-tax credits by lone parents and out-of-work families, child poverty, National Insurance Number registration rates for overseas nationals (NINo), GCSE results, A-level / Level 3 results (average point scores), pupil absence, child obesity, crime rates (by type of crime), fires, ambulance call outs, road casualties, happiness and well-being, land use, public transport accessibility (PTALs), access to public greenspace, access to nature, air emissions / quality, car use, bicycle travel, Indices of Deprivation, and election turnout. The Ward Profiles present key summary measures for the most recent year, using both Excel and InstantAtlas mapping software. This is a useful tool for displaying a large amount of data for numerous geographies, in one place. The Ward Atlas presents a more detailed version of the data including trend data and generally includes the raw numbers as opposed to percentages or rates. The Instant Atlas reports use HTML5 technology, which can be used in modern browsers, including on Apple machines, but will not function on older browsers. WARD PROFILES Compare the ward measure against the Borough, London and National average. WARD ATLAS Access the raw data for all London wards. WARD ATLAS FOR 2014 BOUNDARIES In May 2014, ward boundaries changed in Hackney, Kensington and Chelsea, and Tower Hamlets. This version of the ward atlas gives data for these new wards, as well as retaining data on the unchanged wards in the rest of London for comparison purposes. Data for boroughs has also been included. Very few datasets have been published for the new ward boundaries, so the majority of data contained in this atlas have been modelled using a method of proportion of households from the old boundaries that are located in the new boundaries. Therefore, the data contained in this atlas are indicative only. Instant Atlas for 2014 Ward Atlas Tips: - Select a new indicator from the Data box on the left. Select the theme, then indicator and then year to show the data. - To view data just for one borough*, use the filter tool. - Some legend settings can be altered by clicking on the cog icon next to the Wards tick box within the map legend. - The wards can be ranked in order by clicking at the top of the indicator column of the data table. Note: Additional indicator information and sources are included within the spreadsheet and Instant Atlas report. OTHER SMALL AREA PROFILES Other profiles available include Borough, LSOA and MSOA atlases. Data from these profiles were used to create the Well-being scores tool. *The London boroughs are: City of London, Barking and Dagenham, Barnet, Bexley, Brent, Bromley, Camden, Croydon, Ealing, Enfield, Greenwich, Hackney, Hammersmith and Fulham, Haringey, Harrow, Havering, Hillingdon, Hounslow, Islington, Kensington and Chelsea, Kingston upon Thames, Lambeth, Lewisham, Merton, Newham, Redbridge, Richmond upon Thames, Southwark, Sutton, Tower Hamlets, Waltham Forest, Wandsworth, Westminster. These profiles were created using the most up to date information available at the time of collection (September 2015).

Section 2: Fertility and Mortality tables and statistics

Curious about your clientele in Ireland? Wondering about which generation can be most often seen flocking to your store? Dive deep into customer insights using our population by age group data of Ireland. Whether your customers are down your street or across the globe, we empower you to pinpoint the ideal demographic for your marketing campaigns or projects. Our dataset offers intricate details on this country's age distribution.

What's included in this Age Groups & Gender data?

Each data variable is available as a sum, an average, or as a percentage of the total population within each selected area. Continue reading for the list of included data variables:

Population

• Total Number Of Inhabitants

Age Categories

Available for the total, female, and male population.

• Childhood: Age 0 - 5, Age 5 - 10
• Adolescence, Teenager: Age 10 - 15, Age 15 - 20
• Young Adult: Age 20 - 25, Age 25 - 30, Age 30 - 35, Age 35 - 40
• Middle-Aged: Age 40 - 45, Age 45 - 50, Age 50 - 55, Age 55 - 60, Age 60 - 65
• Elderly: Age 65 - 70, Age 70 - 75, Age 75 - 80, Age 80 - 85, Age 85 Years and Older

Gender Statistics

• Total Male Population
• Total Female Population

Households

• Total Number Of Households
• Average Household Size

This data is available at both the street and 4-digit postal code levels.

• Understanding Irish age demographics is a critical tool for marketers to create advertising that deeply resonates with their target audience. Different age groups possess unique preferences, values, and consumption habits. By delving into these demographics, marketers can tailor their messaging, visuals, and channels to craft more relevant and engaging campaigns.

  Whether you're catering to tech-savvy Gen Z, career-focused Millennials, or financially established Baby Boomers, age demographics provide invaluable insights for crafting advertising that not only captures attention but also fosters genuine connections with consumers, ultimately driving brand loyalty and sales.

  Spotzi Profiling and Targeting enable you to swiftly analyze age demographics and convert your insights into highly targeted marketing campaigns.

• At the 4-digit postal code level, there are 139 areas in this dataset.

• Spotzi Profiling simplifies gaining deeper insights into the demographics of your (potential) customers in Ireland. At Spotzi, you have the following options:

  • Location Profile: Gain insights into the people living around your location (e.g., store, billboard).
  • Customer Profile: Import customer addresses and create profiles based on their location.
  • Visitor Profile: Use high-quality data to identify store visitors or passersby near your billboard.

• After analyzing your locations with Profiling, Spotzi Targeting helps you turn your analysis into action. Spotzi Targeting offers assistance in perfectly targeting your desired audience with various enticing options:

  • Postal Code Targeting: Export a list of Irish postal codes containing your target audience for your next campaign.
  • Address Targeting: Reach your high-potential audience with a Direct Mail campaign using our address targeting, obtaining a list of matching addresses.
  • OOH Targeting: Dazzle your audience with an outdoor advertising campaign, utilizing over 300,000 billboard and screen locations to reach your best-fit audience.
  • Online Targeting: Target or retarget your audience online using our mobile device IDs.

Section 3: Marriage and Divorce tables and statistics

The Statistics Division of the Economic and Social Commission for Western Asia (ESCWA) presents the sixteenth issue of the Bulletin on Population and Vital Statistics in ESCWA member countries. The purpose of this bulletin is to provide available data and statistics on vital events in ESCWA member countries based on national sources. This issue includes vital statistics and indicators for years 2000 to 2012. The Bulletin presents data on population size and composition in ESCWA member countries; data on fertility and mortality; and statistics and indicators related to marriage and divorce. Following a recommendation made during the ninth session of ESCWA Statistical Committee, data in this bulletin were only taken from national sources, and were compiled mainly from a questionnaire prepared by ESCWA.

Curious about your clientele in Croatia? Wondering about which generation can be most often seen flocking to your store? Dive deep into customer insights using our population by age group data of Croatia. Whether your customers are down your street or across the globe, we empower you to pinpoint the ideal demographic for your marketing campaigns or projects. Our dataset offers intricate details on this country's age distribution.

What's included in this Age Groups & Gender data?

Each data variable is available as a sum, an average, or as a percentage of the total population within each selected area. Continue reading for the list of included data variables:

Population

• Total Number Of Inhabitants

Age Categories

Available for the total, female, and male population.

• Childhood: Age 0 - 5, Age 5 - 10
• Adolescence, Teenager: Age 10 - 15, Age 15 - 20
• Young Adult: Age 20 - 25, Age 25 - 30, Age 30 - 35, Age 35 - 40
• Middle-Aged: Age 40 - 45, Age 45 - 50, Age 50 - 55, Age 55 - 60, Age 60 - 65
• Elderly: Age 65 - 70, Age 70 - 75, Age 75 - 80, Age 80 - 85, Age 85 Years and Older

Gender Statistics

• Total Male Population
• Total Female Population

Households

• Total Number Of Households
• Average Household Size

This data is available at both the street and 5-digit postal code levels.

• Understanding Croatian age demographics is a critical tool for marketers to create advertising that deeply resonates with their target audience. Different age groups possess unique preferences, values, and consumption habits. By delving into these demographics, marketers can tailor their messaging, visuals, and channels to craft more relevant and engaging campaigns.

  Whether you're catering to tech-savvy Gen Z, career-focused Millennials, or financially established Baby Boomers, age demographics provide invaluable insights for crafting advertising that not only captures attention but also fosters genuine connections with consumers, ultimately driving brand loyalty and sales.

  Spotzi Profiling and Targeting enable you to swiftly analyze age demographics and convert your insights into highly targeted marketing campaigns.

• At the 5-digit postal code level, there are 299 areas in this dataset.

• Spotzi Profiling simplifies gaining deeper insights into the demographics of your (potential) customers in Croatia. At Spotzi, you have the following options:

  • Location Profile: Gain insights into the people living around your location (e.g., store, billboard).
  • Customer Profile: Import customer addresses and create profiles based on their location.
  • Visitor Profile: Use high-quality data to identify store visitors or passersby near your billboard.

• After analyzing your locations with Profiling, Spotzi Targeting helps you turn your analysis into action. Spotzi Targeting offers assistance in perfectly targeting your desired audience with various enticing options:

  • Postal Code Targeting: Export a list of Croatian postal codes containing your target audience for your next campaign.
  • Address Targeting: Reach your high-potential audience with a Direct Mail campaign using our address targeting, obtaining a list of matching addresses.
  • OOH Targeting: Dazzle your audience with an outdoor advertising campaign, utilizing over 300,000 billboard and screen locations to reach your best-fit audience.
  • Online Targeting: Target or retarget your audience online using our mobile device IDs.

Curious about your clientele in Poland? Wondering about which generation can be most often seen flocking to your store? Dive deep into customer insights using our population by age group data of Poland. Whether your customers are down your street or across the globe, we empower you to pinpoint the ideal demographic for your marketing campaigns or projects. Our dataset offers intricate details on this country's age distribution.

What's included in this Age Groups & Gender data?

Each data variable is available as a sum, an average, or as a percentage of the total population within each selected area. Continue reading for the list of included data variables:

Population

• Total Number Of Inhabitants

Age Categories

Available for the total, female, and male population.

• Childhood: Age 0 - 5, Age 5 - 10
• Adolescence, Teenager: Age 10 - 15, Age 15 - 20
• Young Adult: Age 20 - 25, Age 25 - 30, Age 30 - 35, Age 35 - 40
• Middle-Aged: Age 40 - 45, Age 45 - 50, Age 50 - 55, Age 55 - 60, Age 60 - 65
• Elderly: Age 65 - 70, Age 70 - 75, Age 75 - 80, Age 80 - 85, Age 85 Years and Older

Gender Statistics

• Total Male Population
• Total Female Population

Households

• Total Number Of Households
• Average Household Size

This data is available at both the street and 5-digit postal code levels.

• Understanding Polish age demographics is a critical tool for marketers to create advertising that deeply resonates with their target audience. Different age groups possess unique preferences, values, and consumption habits. By delving into these demographics, marketers can tailor their messaging, visuals, and channels to craft more relevant and engaging campaigns.

  Whether you're catering to tech-savvy Gen Z, career-focused Millennials, or financially established Baby Boomers, age demographics provide invaluable insights for crafting advertising that not only captures attention but also fosters genuine connections with consumers, ultimately driving brand loyalty and sales.

  Spotzi Profiling and Targeting enable you to swiftly analyze age demographics and convert your insights into highly targeted marketing campaigns.

• At the 5-digit postal code level, there are 20,512 areas in this dataset.

• Spotzi Profiling simplifies gaining deeper insights into the demographics of your (potential) customers in Poland. At Spotzi, you have the following options:

  • Location Profile: Gain insights into the people living around your location (e.g., store, billboard).
  • Customer Profile: Import customer addresses and create profiles based on their location.
  • Visitor Profile: Use high-quality data to identify store visitors or passersby near your billboard.

• After analyzing your locations with Profiling, Spotzi Targeting helps you turn your analysis into action. Spotzi Targeting offers assistance in perfectly targeting your desired audience with various enticing options:

  • Postal Code Targeting: Export a list of Polish postal codes containing your target audience for your next campaign.
  • Address Targeting: Reach your high-potential audience with a Direct Mail campaign using our address targeting, obtaining a list of matching addresses.
  • OOH Targeting: Dazzle your audience with an outdoor advertising campaign, utilizing over 300,000 billboard and screen locations to reach your best-fit audience.
  • Online Targeting: Target or retarget your audience online using our mobile device IDs.

Curious about your clientele in Spain? Wondering about which generation can be most often seen flocking to your store? Dive deep into customer insights using our population by age group data of Spain. Whether your customers are down your street or across the globe, we empower you to pinpoint the ideal demographic for your marketing campaigns or projects. Our dataset offers intricate details on this country's age distribution.

What's included in this Age Groups & Gender data?

Each data variable is available as a sum, an average, or as a percentage of the total population within each selected area. Continue reading for the list of included data variables:

Population

• Total Number Of Inhabitants

Age Categories

Available for the total, female, and male population.

• Childhood: Age 0 - 5, Age 5 - 10
• Adolescence, Teenager: Age 10 - 15, Age 15 - 20
• Young Adult: Age 20 - 25, Age 25 - 30, Age 30 - 35, Age 35 - 40
• Middle-Aged: Age 40 - 45, Age 45 - 50, Age 50 - 55, Age 55 - 60, Age 60 - 65
• Elderly: Age 65 - 70, Age 70 - 75, Age 75 - 80, Age 80 - 85, Age 85 Years and Older

Gender Statistics

• Total Male Population
• Total Female Population

Households

• Total Number Of Households
• Average Household Size

This data is available at both the street and 5-digit postal code levels.

• Understanding Spanish age demographics is a critical tool for marketers to create advertising that deeply resonates with their target audience. Different age groups possess unique preferences, values, and consumption habits. By delving into these demographics, marketers can tailor their messaging, visuals, and channels to craft more relevant and engaging campaigns.

  Whether you're catering to tech-savvy Gen Z, career-focused Millennials, or financially established Baby Boomers, age demographics provide invaluable insights for crafting advertising that not only captures attention but also fosters genuine connections with consumers, ultimately driving brand loyalty and sales.

  Spotzi Profiling and Targeting enable you to swiftly analyze age demographics and convert your insights into highly targeted marketing campaigns.

• At the 5-digit postal code level, there are 10,833 areas in this dataset.

• Spotzi Profiling simplifies gaining deeper insights into the demographics of your (potential) customers in Spain. At Spotzi, you have the following options:

  • Location Profile: Gain insights into the people living around your location (e.g., store, billboard).
  • Customer Profile: Import customer addresses and create profiles based on their location.
  • Visitor Profile: Use high-quality data to identify store visitors or passersby near your billboard.

• After analyzing your locations with Profiling, Spotzi Targeting helps you turn your analysis into action. Spotzi Targeting offers assistance in perfectly targeting your desired audience with various enticing options:

  • Postal Code Targeting: Export a list of Spanish postal codes containing your target audience for your next campaign.
  • Address Targeting: Reach your high-potential audience with a Direct Mail campaign using our address targeting, obtaining a list of matching addresses.
  • OOH Targeting: Dazzle your audience with an outdoor advertising campaign, utilizing over 300,000 billboard and screen locations to reach your best-fit audience.
  • Online Targeting: Target or retarget your audience online using our mobile device IDs.

Curious about your clientele in Luxembourg? Wondering about which generation can be most often seen flocking to your store? Dive deep into customer insights using our population by age group data of Luxembourg. Whether your customers are down your street or across the globe, we empower you to pinpoint the ideal demographic for your marketing campaigns or projects. Our dataset offers intricate details on this country's age distribution.

What's included in this Age Groups & Gender data?

Each data variable is available as a sum, an average, or as a percentage of the total population within each selected area. Continue reading for the list of included data variables:

Population

• Total Number Of Inhabitants

Age Categories

Available for the total, female, and male population.

• Childhood: Age 0 - 5, Age 5 - 10
• Adolescence, Teenager: Age 10 - 15, Age 15 - 20
• Young Adult: Age 20 - 25, Age 25 - 30, Age 30 - 35, Age 35 - 40
• Middle-Aged: Age 40 - 45, Age 45 - 50, Age 50 - 55, Age 55 - 60, Age 60 - 65
• Elderly: Age 65 - 70, Age 70 - 75, Age 75 - 80, Age 80 - 85, Age 85 Years and Older

Gender Statistics

• Total Male Population
• Total Female Population

Households

• Total Number Of Households
• Average Household Size

This data is available at both the street and 4-digit postal code levels.

• Understanding Luxembourgish age demographics is a critical tool for marketers to create advertising that deeply resonates with their target audience. Different age groups possess unique preferences, values, and consumption habits. By delving into these demographics, marketers can tailor their messaging, visuals, and channels to craft more relevant and engaging campaigns.

  Whether you're catering to tech-savvy Gen Z, career-focused Millennials, or financially established Baby Boomers, age demographics provide invaluable insights for crafting advertising that not only captures attention but also fosters genuine connections with consumers, ultimately driving brand loyalty and sales.

  Spotzi Profiling and Targeting enable you to swiftly analyze age demographics and convert your insights into highly targeted marketing campaigns.

• At the 4-digit postal code level, there are 4,262 areas in this dataset.

• Spotzi Profiling simplifies gaining deeper insights into the demographics of your (potential) customers in Luxembourg. At Spotzi, you have the following options:

  • Location Profile: Gain insights into the people living around your location (e.g., store, billboard).
  • Customer Profile: Import customer addresses and create profiles based on their location.
  • Visitor Profile: Use high-quality data to identify store visitors or passersby near your billboard.

• After analyzing your locations with Profiling, Spotzi Targeting helps you turn your analysis into action. Spotzi Targeting offers assistance in perfectly targeting your desired audience with various enticing options:

  • Postal Code Targeting: Export a list of Luxembourgish postal codes containing your target audience for your next campaign.
  • Address Targeting: Reach your high-potential audience with a Direct Mail campaign using our address targeting, obtaining a list of matching addresses.
  • OOH Targeting: Dazzle your audience with an outdoor advertising campaign, utilizing over 300,000 billboard and screen locations to reach your best-fit audience.
  • Online Targeting: Target or retarget your audience online using our mobile device IDs.

This data offers a comprehensive glimpse into the population's social and household makeup, including details on household size and family structure. We source this data from national statistical bureaus and local surveys, and use advanced geographic modeling to present this data at a detailed regional level.

What data is included in this household demographics dataset of Poland?

Each data variable is available as a sum, or as a percentage of the total population within each selected area. For Poland, this data is available at both the street and 5-digit postal code level. Please see below for the list of included data variables:

Population

• The Number Of Inhabitants

Households

• Total Number Of Households
• Average Household Size

Household Types

• Single-Person Households
• Multiple-Person Family Households
• Multiple-Person Non-Related Households
• Households Without Children
• Households With Children
• Single Parent Households

• Spotzi's demographic datasets draw from various sources and methods, primarily national demographic data from each country's statistical bureaus (census) and municipal surveys. These data are transformed into detailed regional datasets using geographic modeling techniques. The demographic data includes information about inhabitants and households, as well as household types.

• Analyzing household demographics data is a powerful advantage for advertisers seeking to optimize campaigns and maximize ROI. By harnessing this information, advertisers can precisely target their audience, ensuring their message reaches the right households for higher conversion rates. This not only enhances campaign effectiveness but also significantly reduces ad spend on irrelevant audiences. Leveraging household demographics data is the key to running cost-effective advertising campaigns that deliver superior results and drive business growth.

  Spotzi can help you turn household demographics into actionable insights for your next advertising campaign, with a user-friendly platform to identify and understand your best-fit audience and target them effectively.

• At the 5-digit postal code level, there are 20,512 areas in this dataset.

• Spotzi Profiling simplifies gaining deeper insights into the demographics of your potential customers in Poland. At Spotzi, you have the following options:

  • Location Profiling: Gain insights into the households around your location (e.g., store, billboard).
  • Customer Profiling: Import customer addresses and identify their household types.
  • Visitor Profiling: Use high-quality data to identify store visitors or passersby near your billboard.

• After analyzing your locations with Profiling, Spotzi Targeting helps you turn your analysis into action. Spotzi Targeting offers assistance in perfectly targeting your desired audience with various enticing options:

  • Postal Code Targeting: Export a list of Polish postal codes containing your target audience for your next campaign.
  • Address Targeting: Reach your high-potential audience with a Direct Mail campaign using our address targeting, obtaining a list of matching addresses.
  • OOH Targeting: Dazzle your audience with an outdoor advertising campaign, utilizing over 300,000 billboard and screen locations to reach your best-fit audience.
  • Online Targeting: Target or retarget your audience online using our mobile device IDs.

Our Demographics package in the USA offers data pertaining to the households, education, work, and commute of residents of the United States of America at Census Block Level. Each data variable is available as a sum, or as a percentage of the total population within each selected area.

What is included?

At the Census Block level, this dataset includes some of the following key features:

Commute Insights

• Length of Commute: <5 min, 5-14 min, 15-29 min, 30-44 min, 45-59 min, 60-89 min, 90+ min
• Work Location: Home, Elsewhere

Method of Commute

• Bicycle
• Car
• Carpool
• Foot
• Motorcycle
• Other
• Public Transport
• Taxi

• Commute Insights provide marketers with valuable information to enhance their understanding of consumer behavior.

  • Length of Commute: Insights into the duration of commutes (categorized by time intervals) allow marketers to tailor their messaging based on the available time window. Short commutes may benefit from concise and immediate content, while longer commutes may provide an opportunity for more in-depth engagement.
  • Work Location: Understanding whether individuals work from home or elsewhere enables marketers to adjust their strategies accordingly. For those working from home, promotions related to home-based products or virtual services may be more effective, while those working elsewhere may respond better to location-specific offers.
  • Method of Commute: The method of commute provides marketers with insights into lifestyle choices. For instance, advertising eco-friendly products to bicycle or public transport commuters, or promoting in-car entertainment for drivers, allows for targeted and relevant marketing campaigns. This data helps tailor promotions to align with consumers' transportation preferences and habits.

• This demographic data is typically available at the census block level. These blocks are smaller, more detailed units designed for statistical purposes, enabling a more precise analysis of population, housing, and demographic data. Census blocks may vary in size and shape but are generally more localized compared to ZIP codes.

  Still looking for demographic data at the postal code level? Contact sales.

• There are numerous other census data datasets available for the United States, covering a wide range of demographics. These include information on:

  • Commuting
  • Educational Attainment
  • Employment
  • Families
  • Finance
  • Housing

Curious about your clientele in Bulgaria? Wondering about which generation can be most often seen flocking to your store? Dive deep into customer insights using our population by age group data of Bulgaria. Whether your customers are down your street or across the globe, we empower you to pinpoint the ideal demographic for your marketing campaigns or projects. Our dataset offers intricate details on this country's age distribution.

What's included in this Age Groups & Gender data?

Each data variable is available as a sum, an average, or as a percentage of the total population within each selected area. Continue reading for the list of included data variables:

Population

• Total Number Of Inhabitants

Age Categories

Available for the total, female, and male population.

• Childhood: Age 0 - 5, Age 5 - 10
• Adolescence, Teenager: Age 10 - 15, Age 15 - 20
• Young Adult: Age 20 - 25, Age 25 - 30, Age 30 - 35, Age 35 - 40
• Middle-Aged: Age 40 - 45, Age 45 - 50, Age 50 - 55, Age 55 - 60, Age 60 - 65
• Elderly: Age 65 - 70, Age 70 - 75, Age 75 - 80, Age 80 - 85, Age 85 Years and Older

Gender Statistics

• Total Male Population
• Total Female Population

Households

• Total Number Of Households
• Average Household Size

This data is available at both the street and 4-digit postal code levels.

• Understanding Bulgarian age demographics is a critical tool for marketers to create advertising that deeply resonates with their target audience. Different age groups possess unique preferences, values, and consumption habits. By delving into these demographics, marketers can tailor their messaging, visuals, and channels to craft more relevant and engaging campaigns.

  Whether you're catering to tech-savvy Gen Z, career-focused Millennials, or financially established Baby Boomers, age demographics provide invaluable insights for crafting advertising that not only captures attention but also fosters genuine connections with consumers, ultimately driving brand loyalty and sales.

  Spotzi Profiling and Targeting enable you to swiftly analyze age demographics and convert your insights into highly targeted marketing campaigns.

• At the 4-digit postal code level, there are 4,619 areas in this dataset.

• Spotzi Profiling simplifies gaining deeper insights into the demographics of your (potential) customers in Bulgaria. At Spotzi, you have the following options:

  • Location Profile: Gain insights into the people living around your location (e.g., store, billboard).
  • Customer Profile: Import customer addresses and create profiles based on their location.
  • Visitor Profile: Use high-quality data to identify store visitors or passersby near your billboard.

• After analyzing your locations with Profiling, Spotzi Targeting helps you turn your analysis into action. Spotzi Targeting offers assistance in perfectly targeting your desired audience with various enticing options:

  • Postal Code Targeting: Export a list of Bulgarian postal codes containing your target audience for your next campaign.
  • Address Targeting: Reach your high-potential audience with a Direct Mail campaign using our address targeting, obtaining a list of matching addresses.
  • OOH Targeting: Dazzle your audience with an outdoor advertising campaign, utilizing over 300,000 billboard and screen locations to reach your best-fit audience.
  • Online Targeting: Target or retarget your audience online using our mobile device IDs.