census.world

The world model

Our foundation model starts from public data and our proprietary surveys. Bring your own data, and it builds a private world on top that only you can ask.

Your own data

Bring your customer lists, surveys and transactions, and we tune a private copy of the population to them. It stays in your own account, and we never train on it.

Our proprietary data

Surveys we field ourselves, as they arrive, put the questions public data never asks to real people and weight their answers to the same census frame as everything else.

Public data

The UN counts every country's people; the Census Bureau, the American Community Survey, the Current Population Survey and Eurostat add detail, checked against tables the model never saw.

The population

One population of the whole world, built before anyone asks: synthetic people standing for 8.2 billion in 231 countries and areas, with 317 attributes between them, matched to what is published about the people who live there. The charts are its own counts, read live.

Everyone in the United States, by age and sex

Every resident by five-year band, women on the left and men on the right; the census, cell by cell.

00–04: women 2.6%, men 2.8%00–04: women 2.6%, men 2.8%05–09: women 2.8%, men 3.0%05–09: women 2.8%, men 3.0%10–14: women 3.0%, men 3.1%10–14: women 3.0%, men 3.1%15–19: women 3.1%, men 3.3%15–19: women 3.1%, men 3.3%20–24: women 3.3%, men 3.4%20–24: women 3.3%, men 3.4%25–29: women 3.4%, men 3.5%25–29: women 3.4%, men 3.5%30–34: women 3.4%, men 3.4%30–34: women 3.4%, men 3.4%35–39: women 3.4%, men 3.4%35–39: women 3.4%, men 3.4%40–44: women 3.3%, men 3.2%40–44: women 3.3%, men 3.2%45–49: women 3.0%, men 2.9%45–49: women 3.0%, men 2.9%50–54: women 3.0%, men 2.8%50–54: women 3.0%, men 2.8%55–59: women 3.0%, men 2.9%55–59: women 3.0%, men 2.9%60–64: women 3.2%, men 3.0%60–64: women 3.2%, men 3.0%65–69: women 3.1%, men 2.7%65–69: women 3.1%, men 2.7%70–74: women 2.6%, men 2.3%70–74: women 2.6%, men 2.3%75–79: women 2.1%, men 1.7%75–79: women 2.1%, men 1.7%80–84: women 1.3%, men 1.0%80–84: women 1.3%, men 1.0%85+: women 1.3%, men 0.8%85+: women 1.3%, men 0.8%
00–0410–1420–2430–3440–4450–5460–6470–7480–841.7%3.5%1.7%3.5%
women, 50.9% men, 49.1%share of everyone, by five-year band

A bachelor's degree or more, adults 25 and over

One attribute from the survey record, read live for every state; each state matches its published table.

24%67%outlined: fewer than 10 profiles

Employed, by age: women and men

Two traits that move together with a third, kept together because every American profile is one record.

16–19: women 36% employed20–24: women 70% employed25–29: women 77% employed30–34: women 78% employed35–39: women 76% employed40–44: women 77% employed45–49: women 77% employed50–54: women 75% employed55–59: women 69% employed60–64: women 55% employed65–69: women 31% employed70–74: women 16% employed75–79: women 9% employed80–84: women 4% employed16–19: men 32% employed20–24: men 68% employed25–29: men 81% employed30–34: men 84% employed35–39: men 84% employed40–44: men 85% employed45–49: men 85% employed50–54: men 83% employed55–59: men 77% employed60–64: men 64% employed65–69: men 38% employed70–74: men 22% employed75–79: men 14% employed80–84: men 8% employed
0%25%50%75%100%16–1925–2935–3945–4955–5965–6975–79women 78%men 85%
women menshare employed, by five-year band

Aged 65 and over, by country

The share of each country's people aged 65 and over, from the UN's estimates: the same population, everywhere.

GLGreenland: 0% (0% to 0%), 5 profilesCACanada: 20% (20% to 20%), 39948 profilesUSUnited States of America: 19% (19% to 19%), 3414712 profilesMXMexico: 9% (8% to 9%), 132304 profilesCUCuba: 17% (15% to 19%), 1079 profilesBSBahamas: 11% (2% to 21%), 44 profilesGTGuatemala: 5% (4% to 6%), 1971 profilesBZBelize: 10% (1% to 18%), 42 profilesHTHaiti: 6% (5% to 8%), 1157 profilesDODominican Republic: 8% (6% to 9%), 1151 profilesPRPuerto Rico: 25% (20% to 29%), 343 profilesSVEl Salvador: 8% (6% to 10%), 647 profilesHNHonduras: 4% (3% to 5%), 1085 profilesNINicaragua: 5% (3% to 7%), 696 profilesJMJamaica: 7% (4% to 10%), 254 profilesCRCosta Rica: 14% (11% to 17%), 503 profilesPAPanama: 9% (6% to 11%), 449 profilesTTTrinidad and Tobago: 13% (7% to 18%), 135 profilesCOColombia: 10% (9% to 11%), 5345 profilesVEVenezuela (Bolivarian Republic of): 10% (9% to 11%), 2825 profilesGYGuyana: 9% (3% to 15%), 79 profilesSRSuriname: 2% (0% to 5%), 58 profilesECEcuador: 8% (6% to 9%), 1799 profilesBRBrazil: 11% (11% to 12%), 213159 profilesPEPeru: 9% (8% to 10%), 3517 profilesBOBolivia (Plurinational State of): 7% (6% to 8%), 1232 profilesPYParaguay: 7% (5% to 9%), 737 profilesCLChile: 15% (13% to 17%), 2028 profilesARArgentina: 13% (12% to 13%), 46100 profilesUYUruguay: 17% (13% to 21%), 361 profilesISIceland: 15% (11% to 18%), 390 profilesNONorway: 19% (18% to 20%), 5635 profilesSESweden: 21% (20% to 22%), 10616 profilesFIFinland: 24% (22% to 25%), 5704 profilesEEEstonia: 20% (18% to 22%), 1346 profilesIEIreland: 17% (16% to 18%), 5268 profilesGBUnited Kingdom: 20% (19% to 20%), 69720 profilesDKDenmark: 21% (20% to 22%), 5959 profilesLTLithuania: 21% (20% to 23%), 2866 profilesLVLatvia: 21% (19% to 23%), 1879 profilesRURussian Federation: 18% (17% to 19%), 14459 profilesBEBelgium: 21% (20% to 21%), 11967 profilesNLNetherlands: 20% (20% to 21%), 18459 profilesDEGermany: 24% (23% to 24%), 84338 profilesPLPoland: 21% (21% to 21%), 38263 profilesBYBelarus: 19% (16% to 21%), 902 profilesUAUkraine: 19% (18% to 21%), 3950 profilesPTPortugal: 24% (23% to 25%), 10372 profilesESSpain: 22% (21% to 22%), 47942 profilesFRFrance: 23% (22% to 23%), 66723 profilesCHSwitzerland: 20% (20% to 21%), 9112 profilesCZCzechia: 21% (20% to 22%), 10586 profilesSKSlovakia: 19% (18% to 20%), 5463 profilesMDRepublic of Moldova: 18% (13% to 22%), 277 profilesITItaly: 25% (25% to 26%), 58821 profilesATAustria: 22% (21% to 23%), 9128 profilesHUHungary: 21% (20% to 22%), 9559 profilesRORomania: 20% (19% to 21%), 18923 profilesGEGeorgia: 18% (14% to 21%), 387 profilesGRGreece: 24% (23% to 25%), 10007 profilesRSSerbia: 23% (19% to 26%), 649 profilesBGBulgaria: 22% (21% to 23%), 6640 profilesTRTürkiye: 11% (10% to 11%), 8711 profilesAMArmenia: 17% (13% to 22%), 285 profilesAZAzerbaijan: 9% (7% to 10%), 1033 profilesKZKazakhstan: 10% (8% to 11%), 2091 profilesUZUzbekistan: 6% (6% to 7%), 3783 profilesKGKyrgyzstan: 4% (3% to 6%), 757 profilesTMTurkmenistan: 4% (3% to 6%), 811 profilesTJTajikistan: 5% (4% to 6%), 1053 profilesAFAfghanistan: 3% (2% to 3%), 4514 profilesMNMongolia: 7% (5% to 10%), 352 profilesLBLebanon: 12% (9% to 14%), 593 profilesSYSyrian Arab Republic: 5% (4% to 6%), 2539 profilesIQIraq: 3% (3% to 4%), 4671 profilesIRIran (Islamic Republic of): 9% (8% to 9%), 9257 profilesPKPakistan: 4% (4% to 4%), 25458 profilesILIsrael: 13% (11% to 15%), 923 profilesJOJordan: 5% (3% to 6%), 1133 profilesSASaudi Arabia: 3% (3% to 4%), 3476 profilesAEUnited Arab Emirates: 2% (1% to 3%), 1102 profilesYEYemen: 3% (2% to 3%), 4105 profilesOMOman: 4% (2% to 6%), 535 profilesMAMorocco: 9% (8% to 10%), 3823 profilesDZAlgeria: 6% (6% to 7%), 4783 profilesTNTunisia: 8% (7% to 10%), 1237 profilesMRMauritania: 2% (1% to 3%), 548 profilesMLMali: 2% (2% to 3%), 2511 profilesNENiger: 2% (2% to 3%), 2883 profilesLYLibya: 5% (3% to 6%), 753 profilesEGEgypt: 5% (5% to 6%), 11798 profilesSNSenegal: 3% (2% to 4%), 1955 profilesGNGuinea: 3% (2% to 4%), 1404 profilesBFBurkina Faso: 2% (2% to 3%), 2258 profilesNGNigeria: 3% (3% to 3%), 24008 profilesTDChad: 2% (1% to 2%), 2101 profilesSDSudan: 4% (3% to 4%), 5102 profilesEREritrea: 5% (2% to 7%), 330 profilesSLSierra Leone: 3% (2% to 5%), 871 profilesCICôte d'Ivoire: 3% (2% to 4%), 3203 profilesGHGhana: 5% (4% to 5%), 3502 profilesCMCameroon: 3% (2% to 3%), 3097 profilesCFCentral African Republic: 2% (0% to 3%), 514 profilesSSSouth Sudan: 3% (2% to 4%), 1212 profilesETEthiopia: 3% (3% to 3%), 13586 profilesSOSomalia: 3% (2% to 3%), 1976 profilesGAGabon: 3% (1% to 5%), 263 profilesCGCongo: 3% (2% to 4%), 622 profilesCDDemocratic Republic of the Congo: 3% (3% to 3%), 11363 profilesUGUganda: 2% (2% to 3%), 5049 profilesKEKenya: 3% (3% to 3%), 5636 profilesAOAngola: 3% (2% to 3%), 3922 profilesZMZambia: 2% (1% to 3%), 2188 profilesTZUnited Republic of Tanzania: 3% (3% to 3%), 7075 profilesMWMalawi: 3% (2% to 3%), 2304 profilesNANamibia: 3% (1% to 5%), 326 profilesZWZimbabwe: 3% (2% to 4%), 1616 profilesMZMozambique: 3% (2% to 3%), 3489 profilesMGMadagascar: 3% (2% to 4%), 3361 profilesBWBotswana: 5% (2% to 8%), 251 profilesZASouth Africa: 7% (6% to 7%), 6308 profilesNPNepal: 7% (6% to 8%), 2998 profilesINIndia: 7% (7% to 7%), 1463551 profilesBDBangladesh: 7% (6% to 7%), 17789 profilesMMMyanmar: 8% (7% to 8%), 5565 profilesCNChina: 15% (15% to 15%), 141691 profilesKPDem. People's Republic of Korea: 12% (11% to 14%), 2547 profilesKRRepublic of Korea: 20% (19% to 21%), 5151 profilesJPJapan: 30% (29% to 31%), 12459 profilesLKSri Lanka: 13% (11% to 14%), 2315 profilesTHThailand: 16% (15% to 17%), 7140 profilesLALao People's Democratic Republic: 5% (4% to 7%), 829 profilesVNViet Nam: 10% (9% to 10%), 10102 profilesTWChina, Taiwan Province of China: 20% (19% to 22%), 2292 profilesKHCambodia: 6% (5% to 7%), 1676 profilesPHPhilippines: 6% (5% to 6%), 11517 profilesMYMalaysia: 9% (8% to 9%), 3519 profilesIDIndonesia: 7% (7% to 8%), 28721 profilesPGPapua New Guinea: 4% (3% to 5%), 1059 profilesAUAustralia: 18% (17% to 18%), 26825 profilesNZNew Zealand: 19% (15% to 22%), 524 profiles
from 0%to 50%outlined: fewer than ten profilessmall islands and microstates are in the list, not on the map

Every attribute, with its source and the share of people in each value

One population and one tree: open a family, then an attribute, to see its values and how people split across them. The tree goes deeper where the data does, and each attribute says where it applies.

Place

Where they live, from the country down to the county.

Person

Who they are: age, sex, race, name, marriage and service.

Origin and language

Where they were born, their ancestry and the language they speak at home.

AncestryThe first ancestry reported

Education

How far they went in school, and whether they are still studying.

Work

Whether and how they work: the job, the hours, the pay and the commute.

Hours a weekUsual hours worked per week
Weeks a yearWeeks worked in the past year
EarningsWages and self-employment income, in 2024 dollars

Money

What they earn, what they spend and how they make ends meet.

Household incomeIn 2024 dollars

Household and home

Who they live with, and the home they share.

Workers in the familyNone to three or more

Health

How healthy they are, the care they get and how they feel.

Civic and political life

How they vote, what they believe and how they take part.

Individuals, not averages

Every profile is an individual actor with one coherent life: age, work, income, family and beliefs that belong together, built from real records. Each answers as itself, and the result is added up from thousands of individuals instead of guessed for a segment, so it keeps the detail an average would lose, down to a small group.

The population is unavailable right now.

It starts with a question…

A question in plain words becomes a design before anyone answers: who it is asked of, the wording each person hears, the kind of answer and its options. A yes or no, a choice, an amount, a ranking, or two audiences side by side.

“What would you pay a month for a streaming service?”

Asked of
adults · 269 million people
Each person hears
How much would you be willing to pay per month for a streaming service?
Answers with
A number · US dollars per month
Sample
2,000 profiles, drawn to represent the population; the first hundred of every question are free

Read this answer

Pick the audience

The people whose answers are worth the most are the hardest to reach: few, busy, offline or abroad, and a panel rarely has enough of them. In the population every group is there in proportion, so the hardest audience is as easy to ask as everyone.

6.6 million
Americans with a personal income of $250,000 a year or more

Few, busy and rarely on a panel: the people behind most premium purchases are the ones a survey reaches least.

Who they are

The make-up of the audience, from the 65,941 profiles in the population that stand for it.

Sex65941 profiles
men 72%women 28%
Age65941 profiles
45 to 64 48%30 to 44 28%65 and over 21%under 30 3%
Education65932 profiles
graduate degree 47%bachelor’s degree 35%some college 7%high school graduate 6%associate degree 3%other 2%
Work65935 profiles
employed 86%not in the labor force 14%unemployed 1%armed forces 0%
Marital status65941 profiles
married 77%never married 10%divorced 8%widowed 4%separated 1%
Party65932 profiles
democrat 36%independent 31%republican 27%other 6%

Where they live

The share of each state's adults who are in this audience.

1%7%outlined: fewer than 10 profiles

The simulation

Each person in the sample answers as themselves, one at a time, and the answer comes back with its interval, who answered what, and why.

Ask in plain words. The audience and the sample are named before the answer, and the answer carries its 95% interval.
An answer page: the question, the two audiences it was asked of with their sizes, and each audience's answer with its 95% interval

Build your own world

Bring your data and get a population built for you alone.

Your customer lists, your surveys, your transactions or telemetry become a private population: matched to the same census frame, checked the same way, never mixed with anyone else’s and never part of the public population. Ask it what you would ask your customers, before you ask them.

Get in touch about your own world