Datasets, libraries and templates
This website is an attempt to help people looking for a partner take informed decisions on where to look.
In this work several datasets have been facilitated.
Important: For the population, ethnic, education and BMI datasets there is in some cases a mismatch between the age groups of a dataset and the age ranges selectable with our age range selector. For instance, you can select the age range 30-34. In the German dataset there is no 30-34 age group available, but there is a 30-39 age group. Likewise, for the US educational attainment dataset there is no 18-19 age group, but there is a 18-24 age group.
In such cases we assume an equal contribution from each year of the available data. To get the same numbers as given in the original datasets, stick to lower and upper boundaries aligned with the original dataset applied. Which age groups the various datasets contain is given below.
United States Census Bureau
2016 American Community Survey 5-Year Estimates
Age groups: 18-19, 20-24, 25-29, 30-34, 35-39, 40-44, 45-49, 50-54, 55-59, 60-64, 65-74
Russian Federal State Statistics Service
2010, 2016
Age groups: 18-19, 20-24, 25-29, 30-34, 35-39, 40-44, 45-49, 50-54, 55-59, 60-64, 65-69
Statistics Japan
2011
Age groups: 15-19, 20-24, 25-29, 30-34, 35-39, 40-44, 45-49, 50-54, 55-59, 60-64, 65-69
Statistics Korea
2010 Census
Age groups: 15-19, 20-24, 25-29, 30-34, 35-39, 40-44, 45-49, 50-54, 55-59, 60-64, 65-69
Office for National Statistics
2011 Census
Age groups: 18-19, 20-24, 25-29, 30-34, 35-39, 40-44, 45-49, 50-54, 55-59, 60-64, 65-69
Adapted from data from the Office for National Statistics licensed under the Open Government Licence v.3.0.
Statistics Canada
2011: Census of Population
Age groups: 15-19, 20-24, 25-29, 30-34, 35-39, 40-44, 45-49, 50-54, 55-59, 60-64, 65-69
Australian Bureau of Statistics
2011: B05 Registered Marital Status by Age by Sex (LGA)
Age groups: 15-19, 20-24, 25-34, 35-44, 45-54, 55-64, 65-74
NZ.Stat, Statistics New Zealand
2013 Census. Legally registered relationship status by age group and sex, for the census usually resident population count aged 15 years and over
Age groups: 15-19, 20-24, 25-29, 30-34, 35-39, 40-44, 45-49, 50-54, 55-59, 60-64, 65-69
Federal Statistical Office and the statistical Offices of the Länder
Zensus 2011
Age groups: 10-19, 20-29, 30-39, 40-49, 50-59, 60-69
National Institute of Statistics and Economic Studies
2011: Population et lieu de résidence antérieure en 2011
Age groups: 15-19, 20-24, 25-29, 30-34, 35-39, 40-44, 45-49, 50-54, 55-59, 60-64, 65-69
Spanish Statistical Office
2011, Population and Housing Censuses
Age groups: 15-19, 20-24, 25-29, 30-34, 35-39, 40-44, 45-49, 50-54, 55-59, 60-64, 65-69
Statistics Portugal
2011 Census
Age groups: 15-19, 20-24, 25-29, 30-34, 35-39, 40-44, 45-49, 50-54, 55-59, 60-64, 65-69
Swiss Federal Statistical Office: Swiss Statistics
2013: Resident municipal population by age, sex and marital status
Age groups: Every year, 18-69
Statistics Austria
2011: Register-Based Census 2011 - Persons
Age groups: 15-19, 20-24, 25-29, 30-34, 35-39, 40-44, 45-49, 50-54, 55-59, 60-64, 65-69
Italian National Institute of Statistics
2013: Population and Households. Resident population on 1st January
Age groups: Every year, 18-69
Statistics Netherlands (CBS)
2015: Statistics Netherlands (CBS). Bevolking; geslacht, leeftijd, burgerlijke staat en regio, 1 januari
Age groups: 18, 19, 20-24, 25-29, 30-34, 35-39, 40-44, 45-49, 50-54, 55-59, 60-64, 65-69
Statistics Belgium
2015: Population par lieu de résidence, nationalité, état civil, âge et sexe
Age groups: Every year, 18-69
State Statistics Service of Ukraine
2001
Age groups: 15-19, 20-24, 25-29, 30-34, 35-39, 40-44, 45-49, 50-54, 55-59, 60-64, 65-69
Central Statistics Office Ireland
2011 Census
Age groups: 15-19, 20-24, 25-29, 30-34, 35-39, 40-44, 45-49, 50-54, 55-59, 60-64, 65-69
Statistics Sweden
2012
Age groups: 15-19, 20-24, 25-29, 30-34, 35-39, 40-44, 45-49, 50-54, 55-59, 60-64, 65-69
Statistics Denmark
2016
Age groups: Every year, 18-69
Statistics Finland
2013
Age groups: Every year, 18-69
Latvijas Statistika
2011
Age groups: 15-19, 20-24, 25-29, 30-34, 35-39, 40-44, 45-49, 50-54, 55-59, 60-64, 65-69
UN World Population Prospects, The 2015 Revision
2015: Population by Age groups. Estimates for 2015
Age groups: 15-19, 20-24, 25-29, 30-34, 35-39, 40-44, 45-49, 50-54, 55-59, 60-64, 65-69
Eurostat
2016: Population on 1 January by age group, sex and NUTS 3 region
Age groups: 15-19, 20-24, 25-29, 30-34, 35-39, 40-44, 45-49, 50-54, 55-59, 60-64, 65-69
China Statistical Information Network
2010 Census. Quoted from the web site of the National Bureau of Statistics of the People's Republic of China.
Age groups: 15-19, 20-24, 25-29, 30-34, 35-39, 40-44, 45-49, 50-54, 55-59, 60-64, 65-69
Census of India
2011 Census. Quoted from the web site of the Government of India, Ministry of Home Affairs
Age groups: 15-19, 20-24, 25-29, 30-34, 35-39, 40-44, 45-49, 50-54, 55-59, 60-64, 65-69
INEGI, National Institute of Statistics and Geography (Mexico)
2010, Census. INEGI: Censo de Población y Vivienda 2010
Age groups: 15-19, 20-24, 25-29, 30-34, 35-39, 40-44, 45-49, 50-54, 55-59, 60-64, 65-69
DANE, Departamento Administrativo Nacional de Estadística
Estimaciones de población 1985-2005 y proyecciones de población 2005-2020 nacional, departamental y municipal por sexo, grupos quinquenales de edad.
Age groups: 15-19, 20-24, 25-29, 30-34, 35-39, 40-44, 45-49, 50-54, 55-59, 60-64, 65-69
INDEC, National Institute of Statistics and Census of Argentina
2010 Census, INDEC. Cenco 2010: Cruces (Procesos a nivel de Fracción y Radio solo por Provincia / Departamento). Población.
Age groups: 18-19, 20-24, 25-29, 30-34, 35-39, 40-44, 45-49, 50-54, 55-59, 60-64, 65-69
Statistics Turkey, TurkStat
2011, Census. TurkStat: Population by Province, Age Group and Sex, 2011
Age groups: 15-19, 20-24, 25-29, 30-34, 35-39, 40-44, 45-49, 50-54, 55-59, 60-64, 65-69
Statistics Belarus, Census 2009
2009
Age groups: 15-19, 20-24, 25-29, 30-34, 35-39, 40-44, 45-49, 50-54, 55-59, 60-64, 65-69
Czech Statistical Office
2012
Age groups: 15-19, 20-24, 25-29, 30-34, 35-39, 40-44, 45-49, 50-54, 55-59, 60-64, 65-69
Hungarian Central Statistical Office
2011
Age groups: 15-19, 20-24, 25-29, 30-34, 35-39, 40-44, 45-49, 50-54, 55-59, 60-64, 65-69
Statistics Romania
2011 Census
Age groups: 15-24, 25-34, 35-44, 45-54, 55-64, 65+
Central Statistical Office of Poland
2011: Population and housing Census 2011.
Age groups: 15-19, 20-24, 25-29, 30-34, 35-39, 40-44, 45-49, 50-54, 55-59, 60-64, 65-69
Statistics Norway
2015
Age groups: 15-19, 20-24, 25-29, 30-34, 35-39, 40-44, 45-49, 50-54, 55-59, 60-64, 65-69
2011 Census, STATS SA
2011. Geography by Gender and Age in completed years
Age groups: 15-19, 20-24, 25-29, 30-34, 35-39, 40-44, 45-49, 50-54, 55-59, 60-64, 65-69
National Statistical Office of Thailand
2010-based projection
Age groups: 15-19, 20-24, 25-29, 30-34, 35-39, 40-44, 45-49, 50-54, 55-59, 60-64, 65-69
Philippines Statistics Authority
2000 Census based: Year 2015 from Projected Populations
Age groups: 15-19, 20-24, 25-29, 30-34, 35-39, 40-44, 45-49, 50-54, 55-59, 60-64, 65-69
UN World Marriage Data 2012
World Marriage Data 2012 provides a comparable and up-to-date set of national data on the marital status of the population by age and sex for 221 countries and areas of the world. The dataset has limitations. We have used the most recent data available.
Age groups: 15-19, 20-24, 25-29, 30-34, 35-39, 40-44, 45-49, 50-54, 55-59, 60-64, 65+
United States Census Bureau
2015 American Community Survey 5-Year Estimates. Tables B01001A - B01001I
Age groups: 18-19, 20-24, 25-29, 30-34, 35-44, 45-54, 55-64, 65-74
United States Census Bureau
2015 American Community Survey 5-Year Estimates. Table B15001
Age groups: 18-24, 25-34, 35-44, 45-64, 65+
Note: Numbers in the map indicate the number of people having at least the chosen education level.
National Center for Educational Statistics
2013-14, IES NCES. Final Release Data
Age groups: 18-19, 20-21, 22-24, 25-29, 30-34, 35-39, 40-49, 50-64, 65+
Wikipedia article: Human height
For some countries multiple figures are given for average height. The preferred choice of data was when the height was measured by others as opposed to being self-reported, and when the subjects were in their twenties.
Jaume Garcia: The Evolution of Adult Height in Europe
From here we use Standard Deviation (SD) in height. The SDs we use are 7.0 cm for men, and 6.1 cm for women.
Height statistics are not available for all countries. For each country with missing height we have estimated heights as an average of values from surrounding countries, or its continent.
Height varies by age, domestic location, among ethnicities, levels of educational attainment and types of marital status. We do not attempt to reflect these differences in the numbers given, but use the estimate for the distribution of national gender based height.
Gender-dependent estimates for overweight (BMI >= 25) and obesity (BMI >= 30) are from:
Countries: Global Burden of Disease Study 2015. Global Burden of Disease Study 2015 (GBD 2015) Obesity Prevalence 1980-2015. Seattle, United States: Institute for Health Metrics and Evaluation (IHME), 2017. View recent map here (accessed 2018, January 5th).
Age groups: 15-19,20-24, 25-29,30-34, 35-39,40-44, 45-49,50-54, 55-59,60-64,65-69
USA: Institute for Health Metrics and Evaluation (IHME). US Health Map. Seattle, WA: IHME, University of Washington, 2015. View recent map here (accessed 2018, January 5th). Using county level estimates for BMI >= 30 for 2011. Estimates for BMI >= 25 are based on these numbers. This dataset does not have numbers for different age groups. We therefore superimpose the Global dataset on top of this to present age-dependent estimates for USA. When moving through time for US locations, an equal development throughout the country is assumed. This is not optimal, since for instance Colorado during the 1990-2013 period had a rather modest BMI-increase, while it was considerably higher in Mississippi.
BMI has been shown to vary among ethnicities, levels of educational attainment and types of marital status. We now attempt to reflect differences in ethnicity and education. The figures are extrapolated to adjust for age and location.
Source for ethnicity obesity levels are: Ogden CL, Carroll MD, Fryar CD, Flegal KM. Prevalence of obesity among adults and youth: United States, 2011–2014. NCHS data brief, no 219. Hyattsville, MD: National Center for Health Statistics. 2015.
Source for educational attainment obesity levels are: Ogden CL, Lamb MM, Carroll MD, Flegal KM. Obesity and socioeconomic status in adults: United States 1988–1994 and 2005–2008. NCHS data brief no 50. Hyattsville, MD: National Center for Health Statistics. 2010.
The IHME datasets are made available under the Open Data Commons Attribution License: https://opendatacommons.org/licenses/by/
These statistics are not available for all countries. For each country with missing statistics we have estimated values as an average of the values from surrounding countries, or its continent.
We use Numbeo's Consumer Price Index by Country as the basis of our Living Costs estimations.
We use Numbeo's Local Purchasing Power Index to estimate how much goods and services local people can afford for their salary.
The Democracy Index is an index compiled by the Economist Intelligence Unit, that measures the state of democracy in 167 countries.
As an indicator of women's position in various countries we facilitate the inverted Gender Inequality Index, created by the United Nations Development Programme. The index uses three dimensions to do so: reproductive health, empowerment, and labor market participation.
We use Numbeo's inverted Pollution Index for Country as the basis for our Lack of pollution slider.
We again rely on Numbeo, this time we use the inverted Crime Index for Country as the basis for our Safety level slider.
A Wikipedia article lists the estimated percentage of people who speaks English in many countries.
We use WHO's Overall life expectancy for our Life expectancy slder. The figures reflect the quality of healthcare in the countries listed as well as other factors including ongoing wars, obesity, and HIV infections.
One of the components of the Human Development Index published by United Nations is the Education Index. It is calculated from the Mean years of schooling index and the Expected years of schooling index. This number is what we use for quantifying the education level.
Polygons shaped around countries come from Cultural Vectors map data from the Natural Earth dataset.
Polygons shaped around US states, counties and Zip Code Tabulation Areas are by US Census Bureau.
Polygons shaped around Canadian census areas are by Statistics Canada.
Polygons shaped around British Census Merged Wards Areas are by Office for National Statistics.
Polygons shaped around Norwegian municipality areas are by Statistics Norway.
The European regions map has shapes © EuroGeographics for the administrative boundaries.
Other shapes are from OpenStreetMap project. © OpenStreetMap contributors.
Nicescroll jQuery plugin is used to amp up the style of the selection box.
Colorbox - another jQuery we use to frame content.
jQuery Cookie - is used for remembering your settings.
Tooltipster - for creating informational popups when you move near elements
This product uses the Census Bureau Data API but is not endorsed or certified by the Census Bureau
Although every effort is made to ensure methodical accuracy, errors may exist.
All datasets have been used in good faith that they are publicly available.
The data on our website is presented "as is". In no event will we be held responsible for any unfortunate consequences you or others may face from a result of using this website.