---
title: "Audience Grounding Reference: Data Sources | Minds"
canonical_url: "https://getminds.ai/research/data-sources"
last_updated: "2026-10-01T14:20:55.011Z"
meta:
  description: "A reference list of public statistical, academic, and industry sources that may support a Minds Audience when relevant, accessible, and permitted."
  "og:description": "A reference list of public statistical, academic, and industry sources that may support a Minds Audience when relevant, accessible, and permitted."
  "og:title": "Audience Grounding Reference: Data Sources | Minds"
  "twitter:description": "A reference list of public statistical, academic, and industry sources that may support a Minds Audience when relevant, accessible, and permitted."
  "twitter:title": "Audience Grounding Reference: Data Sources | Minds"
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Minds

July 26, 2026·Reference·Minds Team # **Audience Grounding Reference: Data Sources** Audience grounding is study-specific. Minds can use supplied material and public-source context where enabled; researchers should inspect the actual sources, assumptions, and distributions attached to each Audience. [Sign in to download PDF](https://getminds.ai/auth/login?redirect=%2Fresearch%2Fdata-sources) Clients regularly ask which data can sit behind a Minds Audience. This page is a reference list, not a claim that every listed institution is queried for every Audience. Minds does not maintain a fixed recruited-human panel. Audiences can be created from descriptions, existing Minds, files, links, research notes, and public-source context where enabled. The actual evidence depends on the request, workspace configuration, source access, and researcher review. ## How we use these sources When source research is enabled, Audience creation can use four reviewable steps: 1. **Search.** The research question and audience definition are turned into targeted queries against public web and document sources. 2. **Extract.** Candidate demographic, psychographic, socioeconomic, behavioral, geographic, or firmographic distributions are identified from supplied and accessible material. 3. **Review.** Observed values, requested quotas, and proposed assumptions remain distinct. A source that names a variable without a share may result in an explicitly assumed distribution rather than a falsely attributed number. 4. **Cite.** Grounded distributions retain source context where supported. Researchers should inspect the actual Audience record instead of inferring provenance from this general list. Because selection is task-specific, a German B2B Audience and a Japanese consumer Audience may use different institutions. Some requests may rely primarily on customer-supplied material; others may not produce a defensible public distribution for every variable. ## How sources are prioritized The previous numeric confidence bands were not a published product guarantee. Use the qualitative hierarchy below as an editorial review aid; source relevance, recency, population fit, methodology, and directness still need to be checked for the specific Study. | Priority | Typical source type | Review question |
| --- | --- | --- | | Prefer direct evidence | National statistics, regulators, original datasets, peer-reviewed research | Does it directly measure the target population and variable? | | Use with context | Research institutes, associations, panel providers, and disclosed industry research | Is the method, field date, sample, and population fit clear? | | Treat as a lead | Domain publications or commercial summaries that name an original source | Can the primary evidence be inspected and cited instead? | | Label as an assumption | Researcher-provided targets or proposed distributions without observed shares | Is the value clearly separated from observed evidence? | ## Source list The institutions below are examples of sources that may be relevant, grouped by type. Inclusion does not mean routine use, automatic acceptance, live access, endorsement, or a fixed priority. Sources not listed here may be more appropriate for a particular market or question. ### Supranational & multilateral | Source | Typical coverage |
| --- | --- | | [Eurostat](https://ec.europa.eu/eurostat) | EU-wide demographic, labour, income and household statistics | | [OECD Data](https://data.oecd.org) | Cross-country economic, social and wellbeing indicators | | [UN Statistics Division](https://unstats.un.org) | Global demographic and development statistics | | [World Bank Open Data](https://data.worldbank.org) | Population, income and development indicators by country | | [IMF Data](https://www.imf.org/en/Data) | Macroeconomic and financial indicators | | [WHO Data](https://www.who.int/data) | Health prevalence and behaviour statistics | | [ILOSTAT](https://ilostat.ilo.org) | Labour force, employment and working conditions | | [UNESCO Institute for Statistics](https://uis.unesco.org) | Education participation and attainment | | [EU Open Data Portal](https://data.europa.eu) | Machine-readable EU public datasets | | [European Commission](https://commission.europa.eu) | Policy reports and sector statistics | | [European Environment Agency](https://www.eea.europa.eu) | Environmental and sustainability indicators | | [ECDC](https://www.ecdc.europa.eu) | European health and disease surveillance | | [EFSA](https://www.efsa.europa.eu) | Food safety and consumption data | | [EMA](https://www.ema.europa.eu) | European medicines and pharmacovigilance | ### Europe — national statistics | Source | Typical coverage |
| --- | --- | | [Statistisches Bundesamt (Destatis)](https://www.destatis.de) | German census, household and consumption statistics | | [INSEE](https://www.insee.fr) | French demographic and economic statistics | | [ISTAT](https://www.istat.it) | Italian population and household statistics | | [INE Spain](https://www.ine.es) | Spanish demographic and living-conditions data | | [Office for National Statistics](https://www.ons.gov.uk) | UK census, labour and household data | | [CBS Netherlands](https://www.cbs.nl) | Dutch population and consumption statistics | | [Statistics Austria](https://www.statistik.at) | Austrian demographic and economic data | | [Bundesamt für Statistik (BFS)](https://www.bfs.admin.ch) | Swiss population and household statistics | | [Statbel](https://statbel.fgov.be) | Belgian demographic statistics | | [SCB Sweden](https://www.scb.se) | Swedish population and living-conditions data | | [SSB Norway](https://www.ssb.no) | Norwegian demographic and income statistics | | [Statistics Finland](https://stat.fi) | Finnish population and consumption data | | [Statistics Denmark](https://www.dst.dk) | Danish demographic and household statistics | | [Statistics Poland (GUS)](https://stat.gov.pl) | Polish population and labour statistics | | [INE Portugal](https://www.ine.pt) | Portuguese demographic statistics | | [CZSO Czechia](https://www.czso.cz) | Czech population and household data | | [HCSO Hungary](https://www.ksh.hu) | Hungarian demographic statistics | | [ELSTAT Greece](https://www.statistics.gr) | Greek population and living-conditions data | | [CSO Ireland](https://www.cso.ie) | Irish census and household statistics | | [TÜİK](https://www.tuik.gov.tr) | Turkish demographic and household statistics | ### Americas — national statistics | Source | Typical coverage |
| --- | --- | | [US Census Bureau](https://www.census.gov) | US population, household and ACS microdata | | [Bureau of Economic Analysis](https://www.bea.gov) | US income, spending and regional economics | | [Bureau of Labor Statistics](https://www.bls.gov) | US employment, wages and consumer expenditure | | [National Center for Health Statistics](https://www.cdc.gov/nchs) | US health behaviour and prevalence | | [National Center for Education Statistics](https://nces.ed.gov) | US education participation and attainment | | [Statistics Canada](https://www.statcan.gc.ca) | Canadian census and household statistics | | [INEGI](https://www.inegi.org.mx) | Mexican population and household data | | [IBGE](https://www.ibge.gov.br) | Brazilian census and consumption statistics | | [INDEC](https://www.indec.gob.ar) | Argentine demographic statistics | | [DANE](https://www.dane.gov.co) | Colombian population and living-conditions data | | [INE Chile](https://www.ine.gob.cl) | Chilean demographic statistics | ### Asia-Pacific — national statistics | Source | Typical coverage |
| --- | --- | | [Statistics Bureau of Japan](https://www.stat.go.jp) | Japanese census and household statistics | | [KOSTAT](https://kostat.go.kr) | Korean population and household data | | [KOSIS](https://kosis.kr) | Korean statistical information service | | [National Bureau of Statistics of China](https://www.stats.gov.cn) | Chinese population and consumption statistics | | [MoSPI India](https://mospi.gov.in) | Indian household consumption and labour surveys | | [Australian Bureau of Statistics](https://www.abs.gov.au) | Australian census and household data | | [Stats NZ](https://www.stats.govt.nz) | New Zealand demographic statistics | | [Singapore DOS](https://www.singstat.gov.sg) | Singaporean population and household data | | [BPS Indonesia](https://www.bps.go.id) | Indonesian demographic statistics | ### Middle East & Africa | Source | Typical coverage |
| --- | --- | | [GASTAT Saudi Arabia](https://www.stats.gov.sa) | Saudi population and household statistics | | [FCSC United Arab Emirates](https://fcsc.gov.ae) | UAE demographic and economic data | | [CAPMAS Egypt](https://www.capmas.gov.eg) | Egyptian census and household statistics | | [Statistics South Africa](https://www.statssa.gov.za) | South African demographic statistics | ### Central banks & ministries | Source | Typical coverage |
| --- | --- | | [European Central Bank](https://www.ecb.europa.eu) | Euro-area household finance and consumption | | [Deutsche Bundesbank](https://www.bundesbank.de) | German household wealth and income | | [Bank of England](https://www.bankofengland.co.uk) | UK household finance data | | [FRED (St. Louis Fed)](https://fred.stlouisfed.org) | US economic time series | | [Banque de France](https://www.banque-france.fr) | French household finance | | [Banca d'Italia](https://www.bancaditalia.it) | Italian household income and wealth survey | | [Banco de España](https://www.bde.es) | Spanish household finance survey | | [Swiss National Bank](https://www.snb.ch) | Swiss economic and financial data | | [Bank of Japan](https://www.boj.or.jp) | Japanese economic and consumption data | | [Bank of Korea](https://www.bok.or.kr) | Korean macroeconomic statistics | | [Banco de México](https://www.banxico.org.mx) | Mexican economic indicators | | [Banco Central do Brasil](https://www.bcb.gov.br) | Brazilian economic indicators | | [Reserve Bank of Australia](https://www.rba.gov.au) | Australian economic data | | [METI Japan](https://www.meti.go.jp) | Japanese industry and trade statistics | | [MIC Japan](https://www.soumu.go.jp) | Japanese communications and household surveys | | [Cabinet Office Japan](https://www.cao.go.jp) | Japanese consumer confidence and policy data | | [RIETI](https://www.rieti.go.jp) | Japanese economic and industry research | | [NITI Aayog](https://www.niti.gov.in) | Indian policy and development indicators | | [IPEA](https://www.ipea.gov.br) | Brazilian applied economic research | | [CONEVAL](https://www.coneval.org.mx) | Mexican social development measurement | | [Bundesagentur für Arbeit](https://statistik.arbeitsagentur.de) | German labour market statistics | ### Health & science agencies | Source | Typical coverage |
| --- | --- | | [Centers for Disease Control and Prevention](https://www.cdc.gov) | US health behaviour and prevalence | | [National Institutes of Health](https://www.nih.gov) | US biomedical and behavioural research | | [Robert Koch Institute](https://www.rki.de) | German public-health surveillance | | [NHS Digital](https://digital.nhs.uk) | UK health service statistics | | [ICMR](https://www.icmr.gov.in) | Indian medical research statistics | ### Academic & survey programmes | Source | Typical coverage |
| --- | --- | | [Pew Research Center](https://www.pewresearch.org) | Attitudinal and social-trend surveys | | [Gallup](https://www.gallup.com) | Global attitudinal and workplace surveys | | [Eurobarometer](https://europa.eu/eurobarometer) | EU public opinion surveys | | [European Social Survey](https://www.europeansocialsurvey.org) | Cross-national attitudinal survey | | [World Values Survey](https://www.worldvaluessurvey.org) | Global values and beliefs survey | | [GESIS](https://www.gesis.org) | German social science data archive | | [SOEP (DIW Berlin)](https://www.diw.de/soep) | German socio-economic panel | | [DIW Berlin](https://www.diw.de) | German economic research institute | | [ifo Institute](https://www.ifo.de) | German business and consumer climate | | [IZA](https://www.iza.org) | Labour economics research | | [ICPSR](https://www.icpsr.umich.edu) | Social science data repository | | [RAND Corporation](https://www.rand.org) | Policy and behavioural research | | [Brookings Institution](https://www.brookings.edu) | Economic and social policy research | | [JILPT](https://www.jil.go.jp) | Japanese labour policy research | ### Industry & association research | Source | Typical coverage |
| --- | --- | | [Bitkom](https://www.bitkom.org) | German digital-sector research | | [Statista](https://www.statista.com) | Aggregated market data citing primary sources | | [YouGov](https://yougov.com) | Consumer panel and attitudinal data | | [Ipsos](https://www.ipsos.com) | Market and social research | | [Nielsen](https://www.nielsen.com) | Media and consumer measurement | | [GWI](https://www.gwi.com) | Global consumer survey data | ## What this list is not These are public-source references, not partners, sponsors, or endorsers of Minds. Listing them does not imply a commercial relationship, licence, live integration, routine use, or review of Minds by the named institution. Where a commercial provider publishes useful evidence, source rights and access terms still apply. [Minds](https://getminds.ai/)© 2026 Minds. Your target audience. AI-driven and grounded in transparent evidence. Build within minutes. [Minds on X (Twitter)](https://x.com/mindsai_co) [Minds on LinkedIn](https://www.linkedin.com/company/mindsaicompany/) [Minds on Instagram](https://www.instagram.com/getminds.ai/)Minds is part of [![ESOMAR](https://getminds.ai/images/newsroom/logos/esomar-logo.svg)ESOMAR](https://esomar.org/) [![GreenBook](https://getminds.ai/images/newsroom/logos/greenbook.svg)GreenBook Directory](https://greenbook.org/company/Minds) [![Insight Platforms](https://getminds.ai/images/newsroom/logos/insight-platforms.png)Insight Platforms](https://www.insightplatforms.com/platforms/minds/) [![Capterra](https://getminds.ai/images/newsroom/logos/capterra.svg)Capterra](https://www.capterra.com/p/10046203/Minds/) [![G2](https://getminds.ai/images/newsroom/logos/g2.svg)G2](https://www.g2.com/products/minds/reviews) [![CSSDA Best UX Design Award](https://getminds.ai/images/newsroom/logos/cssda-best-ux-award.png)CSSDA Best UX Design Award](https://www.cssdesignawards.com/) [![CSSDA Best Innovation Award](https://getminds.ai/images/newsroom/logos/cssda-best-innovation-award.png)CSSDA Best Innovation Award](https://www.cssdesignawards.com/) [![CSSDA Best UI Design Award](https://getminds.ai/images/newsroom/logos/cssda-best-ui-award.png)CSSDA Best UI Design Award](https://www.cssdesignawards.com/)