---
title: "Datenquellen"
description: "Die öffentlichen statistischen, akademischen und branchenbezogenen Quellen, auf die Minds synthetische Zielgruppen stützt, und wie das Grounding sie nutzt."
canonical_url: "https://getminds.ai/research/de/data-sources"
last_updated: "2026-08-13T13:04:09.606Z"
---

# Datenquellen

Kundinnen und Kunden fragen regelmäßig, welche Daten hinter einer Minds-Zielgruppe stehen. Diese Seite ist die Antwort und ausdrücklich zum Teilen gedacht.

Minds unterhält kein festes, lizenziertes Panel. Jede Zielgruppe wird beim Aufbau gegen öffentliche Quellen verankert, die zur konkreten Forschungsfrage passen. Die genaue Quellenmenge unterscheidet sich daher je Zielgruppe und wird im Ergebnis immer zitiert.

## Wie wir diese Quellen nutzen

**Gruppen-Grounding** läuft beim Erstellen einer Zielgruppe in vier Schritten:

1. **Suche.** Forschungsfrage und Zielgruppendefinition werden in gezielte Abfragen gegen öffentliche Web- und Dokumentquellen übersetzt.
2. **Extraktion.** Strukturierte Verteilungen — Demografie, Psychografie, Sozioökonomie, Verhalten, Geografie, Firmografie — werden aus den Kandidatenquellen gezogen. Zahlen stammen aus der Quelle und werden nie erfunden, um Lücken zu füllen.
3. **Gewichtung.** Jede Quelle erhält ein Konfidenzgewicht danach, welche Art von Institution sie veröffentlicht hat (siehe unten). Behördliche und begutachtete Quellen stehen über kommerziellen.
4. **Zitation.** Jede Verteilung, die die Zielgruppe prägt, wird an ihre Quelle gebunden und erscheint im Produkt als klickbares Zitat. Ist die Evidenz zu schwach, liefert die Zielgruppe keine Verteilung statt einer geratenen.

Da die Auswahl je Frage erfolgt, verankern eine deutsche B2B-Zielgruppe und eine japanische Konsumzielgruppe gegen völlig unterschiedliche Institutionen. Die Liste unten ist das Universum, aus dem wir schöpfen — kein festes Bündel für jede Studie.

## Wie Quellen gewichtet werden

<table>
<thead>
  <tr>
    <th>
      Stufe
    </th>
    
    <th>
      Konfidenz
    </th>
    
    <th>
      Abdeckung
    </th>
  </tr>
</thead>

<tbody>
  <tr>
    <td>
      1
    </td>
    
    <td>
      0,85–1,0
    </td>
    
    <td>
      Statistische Ämter, Behörden, supranationale Organisationen
    </td>
  </tr>
  
  <tr>
    <td>
      2
    </td>
    
    <td>
      0,8–1,0
    </td>
    
    <td>
      Begutachtete Arbeiten, systematische Reviews, universitäre Repositorien
    </td>
  </tr>
  
  <tr>
    <td>
      3
    </td>
    
    <td>
      0,75–0,9
    </td>
    
    <td>
      Berufsverbände, Regulierer, Fachministerien, Zentralbanken
    </td>
  </tr>
  
  <tr>
    <td>
      4
    </td>
    
    <td>
      0,6–0,85
    </td>
    
    <td>
      Etablierte Forschungsinstitute, Branchenverbände, Panel-Anbieter
    </td>
  </tr>
  
  <tr>
    <td>
      5
    </td>
    
    <td>
      0,4–0,65
    </td>
    
    <td>
      Fachpublikationen mit offengelegten Primärzahlen
    </td>
  </tr>
  
  <tr>
    <td>
      6
    </td>
    
    <td>
      0,3–0,5
    </td>
    
    <td>
      Kommerzielle Inhalte, die eine benannte Primärquelle zitieren
    </td>
  </tr>
</tbody>
</table>

## Quellenliste

Rund 100 Institutionen, gegen die Minds regelmäßig verankert, nach Typ gruppiert. Die Länderabdeckung geht darüber hinaus: Jedes statistische Amt, jeder Regulierer und jeder Berufsverband gilt unmittelbar als erstrangige Quelle, auch wenn hier nicht genannt.

### Supranational & multilateral

<table>
<thead>
  <tr>
    <th>
      Quelle
    </th>
    
    <th>
      Typische Abdeckung
    </th>
  </tr>
</thead>

<tbody>
  <tr>
    <td>
      <a href="https://ec.europa.eu/eurostat" rel="nofollow">
        Eurostat
      </a>
    </td>
    
    <td>
      EU-wide demographic, labour, income and household statistics
    </td>
  </tr>
  
  <tr>
    <td>
      <a href="https://data.oecd.org" rel="nofollow">
        OECD Data
      </a>
    </td>
    
    <td>
      Cross-country economic, social and wellbeing indicators
    </td>
  </tr>
  
  <tr>
    <td>
      <a href="https://unstats.un.org" rel="nofollow">
        UN Statistics Division
      </a>
    </td>
    
    <td>
      Global demographic and development statistics
    </td>
  </tr>
  
  <tr>
    <td>
      <a href="https://data.worldbank.org" rel="nofollow">
        World Bank Open Data
      </a>
    </td>
    
    <td>
      Population, income and development indicators by country
    </td>
  </tr>
  
  <tr>
    <td>
      <a href="https://www.imf.org/en/Data" rel="nofollow">
        IMF Data
      </a>
    </td>
    
    <td>
      Macroeconomic and financial indicators
    </td>
  </tr>
  
  <tr>
    <td>
      <a href="https://www.who.int/data" rel="nofollow">
        WHO Data
      </a>
    </td>
    
    <td>
      Health prevalence and behaviour statistics
    </td>
  </tr>
  
  <tr>
    <td>
      <a href="https://ilostat.ilo.org" rel="nofollow">
        ILOSTAT
      </a>
    </td>
    
    <td>
      Labour force, employment and working conditions
    </td>
  </tr>
  
  <tr>
    <td>
      <a href="https://uis.unesco.org" rel="nofollow">
        UNESCO Institute for Statistics
      </a>
    </td>
    
    <td>
      Education participation and attainment
    </td>
  </tr>
  
  <tr>
    <td>
      <a href="https://data.europa.eu" rel="nofollow">
        EU Open Data Portal
      </a>
    </td>
    
    <td>
      Machine-readable EU public datasets
    </td>
  </tr>
  
  <tr>
    <td>
      <a href="https://commission.europa.eu" rel="nofollow">
        European Commission
      </a>
    </td>
    
    <td>
      Policy reports and sector statistics
    </td>
  </tr>
  
  <tr>
    <td>
      <a href="https://www.eea.europa.eu" rel="nofollow">
        European Environment Agency
      </a>
    </td>
    
    <td>
      Environmental and sustainability indicators
    </td>
  </tr>
  
  <tr>
    <td>
      <a href="https://www.ecdc.europa.eu" rel="nofollow">
        ECDC
      </a>
    </td>
    
    <td>
      European health and disease surveillance
    </td>
  </tr>
  
  <tr>
    <td>
      <a href="https://www.efsa.europa.eu" rel="nofollow">
        EFSA
      </a>
    </td>
    
    <td>
      Food safety and consumption data
    </td>
  </tr>
  
  <tr>
    <td>
      <a href="https://www.ema.europa.eu" rel="nofollow">
        EMA
      </a>
    </td>
    
    <td>
      European medicines and pharmacovigilance
    </td>
  </tr>
</tbody>
</table>

### Europa — amtliche Statistik

<table>
<thead>
  <tr>
    <th>
      Quelle
    </th>
    
    <th>
      Typische Abdeckung
    </th>
  </tr>
</thead>

<tbody>
  <tr>
    <td>
      <a href="https://www.destatis.de" rel="nofollow">
        Statistisches Bundesamt (Destatis)
      </a>
    </td>
    
    <td>
      German census, household and consumption statistics
    </td>
  </tr>
  
  <tr>
    <td>
      <a href="https://www.insee.fr" rel="nofollow">
        INSEE
      </a>
    </td>
    
    <td>
      French demographic and economic statistics
    </td>
  </tr>
  
  <tr>
    <td>
      <a href="https://www.istat.it" rel="nofollow">
        ISTAT
      </a>
    </td>
    
    <td>
      Italian population and household statistics
    </td>
  </tr>
  
  <tr>
    <td>
      <a href="https://www.ine.es" rel="nofollow">
        INE Spain
      </a>
    </td>
    
    <td>
      Spanish demographic and living-conditions data
    </td>
  </tr>
  
  <tr>
    <td>
      <a href="https://www.ons.gov.uk" rel="nofollow">
        Office for National Statistics
      </a>
    </td>
    
    <td>
      UK census, labour and household data
    </td>
  </tr>
  
  <tr>
    <td>
      <a href="https://www.cbs.nl" rel="nofollow">
        CBS Netherlands
      </a>
    </td>
    
    <td>
      Dutch population and consumption statistics
    </td>
  </tr>
  
  <tr>
    <td>
      <a href="https://www.statistik.at" rel="nofollow">
        Statistics Austria
      </a>
    </td>
    
    <td>
      Austrian demographic and economic data
    </td>
  </tr>
  
  <tr>
    <td>
      <a href="https://www.bfs.admin.ch" rel="nofollow">
        Bundesamt für Statistik (BFS)
      </a>
    </td>
    
    <td>
      Swiss population and household statistics
    </td>
  </tr>
  
  <tr>
    <td>
      <a href="https://statbel.fgov.be" rel="nofollow">
        Statbel
      </a>
    </td>
    
    <td>
      Belgian demographic statistics
    </td>
  </tr>
  
  <tr>
    <td>
      <a href="https://www.scb.se" rel="nofollow">
        SCB Sweden
      </a>
    </td>
    
    <td>
      Swedish population and living-conditions data
    </td>
  </tr>
  
  <tr>
    <td>
      <a href="https://www.ssb.no" rel="nofollow">
        SSB Norway
      </a>
    </td>
    
    <td>
      Norwegian demographic and income statistics
    </td>
  </tr>
  
  <tr>
    <td>
      <a href="https://stat.fi" rel="nofollow">
        Statistics Finland
      </a>
    </td>
    
    <td>
      Finnish population and consumption data
    </td>
  </tr>
  
  <tr>
    <td>
      <a href="https://www.dst.dk" rel="nofollow">
        Statistics Denmark
      </a>
    </td>
    
    <td>
      Danish demographic and household statistics
    </td>
  </tr>
  
  <tr>
    <td>
      <a href="https://stat.gov.pl" rel="nofollow">
        Statistics Poland (GUS)
      </a>
    </td>
    
    <td>
      Polish population and labour statistics
    </td>
  </tr>
  
  <tr>
    <td>
      <a href="https://www.ine.pt" rel="nofollow">
        INE Portugal
      </a>
    </td>
    
    <td>
      Portuguese demographic statistics
    </td>
  </tr>
  
  <tr>
    <td>
      <a href="https://www.czso.cz" rel="nofollow">
        CZSO Czechia
      </a>
    </td>
    
    <td>
      Czech population and household data
    </td>
  </tr>
  
  <tr>
    <td>
      <a href="https://www.ksh.hu" rel="nofollow">
        HCSO Hungary
      </a>
    </td>
    
    <td>
      Hungarian demographic statistics
    </td>
  </tr>
  
  <tr>
    <td>
      <a href="https://www.statistics.gr" rel="nofollow">
        ELSTAT Greece
      </a>
    </td>
    
    <td>
      Greek population and living-conditions data
    </td>
  </tr>
  
  <tr>
    <td>
      <a href="https://www.cso.ie" rel="nofollow">
        CSO Ireland
      </a>
    </td>
    
    <td>
      Irish census and household statistics
    </td>
  </tr>
  
  <tr>
    <td>
      <a href="https://www.tuik.gov.tr" rel="nofollow">
        TÜİK
      </a>
    </td>
    
    <td>
      Turkish demographic and household statistics
    </td>
  </tr>
</tbody>
</table>

### Amerika — amtliche Statistik

<table>
<thead>
  <tr>
    <th>
      Quelle
    </th>
    
    <th>
      Typische Abdeckung
    </th>
  </tr>
</thead>

<tbody>
  <tr>
    <td>
      <a href="https://www.census.gov" rel="nofollow">
        US Census Bureau
      </a>
    </td>
    
    <td>
      US population, household and ACS microdata
    </td>
  </tr>
  
  <tr>
    <td>
      <a href="https://www.bea.gov" rel="nofollow">
        Bureau of Economic Analysis
      </a>
    </td>
    
    <td>
      US income, spending and regional economics
    </td>
  </tr>
  
  <tr>
    <td>
      <a href="https://www.bls.gov" rel="nofollow">
        Bureau of Labor Statistics
      </a>
    </td>
    
    <td>
      US employment, wages and consumer expenditure
    </td>
  </tr>
  
  <tr>
    <td>
      <a href="https://www.cdc.gov/nchs" rel="nofollow">
        National Center for Health Statistics
      </a>
    </td>
    
    <td>
      US health behaviour and prevalence
    </td>
  </tr>
  
  <tr>
    <td>
      <a href="https://nces.ed.gov" rel="nofollow">
        National Center for Education Statistics
      </a>
    </td>
    
    <td>
      US education participation and attainment
    </td>
  </tr>
  
  <tr>
    <td>
      <a href="https://www.statcan.gc.ca" rel="nofollow">
        Statistics Canada
      </a>
    </td>
    
    <td>
      Canadian census and household statistics
    </td>
  </tr>
  
  <tr>
    <td>
      <a href="https://www.inegi.org.mx" rel="nofollow">
        INEGI
      </a>
    </td>
    
    <td>
      Mexican population and household data
    </td>
  </tr>
  
  <tr>
    <td>
      <a href="https://www.ibge.gov.br" rel="nofollow">
        IBGE
      </a>
    </td>
    
    <td>
      Brazilian census and consumption statistics
    </td>
  </tr>
  
  <tr>
    <td>
      <a href="https://www.indec.gob.ar" rel="nofollow">
        INDEC
      </a>
    </td>
    
    <td>
      Argentine demographic statistics
    </td>
  </tr>
  
  <tr>
    <td>
      <a href="https://www.dane.gov.co" rel="nofollow">
        DANE
      </a>
    </td>
    
    <td>
      Colombian population and living-conditions data
    </td>
  </tr>
  
  <tr>
    <td>
      <a href="https://www.ine.gob.cl" rel="nofollow">
        INE Chile
      </a>
    </td>
    
    <td>
      Chilean demographic statistics
    </td>
  </tr>
</tbody>
</table>

### Asien-Pazifik — amtliche Statistik

<table>
<thead>
  <tr>
    <th>
      Quelle
    </th>
    
    <th>
      Typische Abdeckung
    </th>
  </tr>
</thead>

<tbody>
  <tr>
    <td>
      <a href="https://www.stat.go.jp" rel="nofollow">
        Statistics Bureau of Japan
      </a>
    </td>
    
    <td>
      Japanese census and household statistics
    </td>
  </tr>
  
  <tr>
    <td>
      <a href="https://kostat.go.kr" rel="nofollow">
        KOSTAT
      </a>
    </td>
    
    <td>
      Korean population and household data
    </td>
  </tr>
  
  <tr>
    <td>
      <a href="https://kosis.kr" rel="nofollow">
        KOSIS
      </a>
    </td>
    
    <td>
      Korean statistical information service
    </td>
  </tr>
  
  <tr>
    <td>
      <a href="https://www.stats.gov.cn" rel="nofollow">
        National Bureau of Statistics of China
      </a>
    </td>
    
    <td>
      Chinese population and consumption statistics
    </td>
  </tr>
  
  <tr>
    <td>
      <a href="https://mospi.gov.in" rel="nofollow">
        MoSPI India
      </a>
    </td>
    
    <td>
      Indian household consumption and labour surveys
    </td>
  </tr>
  
  <tr>
    <td>
      <a href="https://www.abs.gov.au" rel="nofollow">
        Australian Bureau of Statistics
      </a>
    </td>
    
    <td>
      Australian census and household data
    </td>
  </tr>
  
  <tr>
    <td>
      <a href="https://www.stats.govt.nz" rel="nofollow">
        Stats NZ
      </a>
    </td>
    
    <td>
      New Zealand demographic statistics
    </td>
  </tr>
  
  <tr>
    <td>
      <a href="https://www.singstat.gov.sg" rel="nofollow">
        Singapore DOS
      </a>
    </td>
    
    <td>
      Singaporean population and household data
    </td>
  </tr>
  
  <tr>
    <td>
      <a href="https://www.bps.go.id" rel="nofollow">
        BPS Indonesia
      </a>
    </td>
    
    <td>
      Indonesian demographic statistics
    </td>
  </tr>
</tbody>
</table>

### Naher Osten & Afrika

<table>
<thead>
  <tr>
    <th>
      Quelle
    </th>
    
    <th>
      Typische Abdeckung
    </th>
  </tr>
</thead>

<tbody>
  <tr>
    <td>
      <a href="https://www.stats.gov.sa" rel="nofollow">
        GASTAT Saudi Arabia
      </a>
    </td>
    
    <td>
      Saudi population and household statistics
    </td>
  </tr>
  
  <tr>
    <td>
      <a href="https://fcsc.gov.ae" rel="nofollow">
        FCSC United Arab Emirates
      </a>
    </td>
    
    <td>
      UAE demographic and economic data
    </td>
  </tr>
  
  <tr>
    <td>
      <a href="https://www.capmas.gov.eg" rel="nofollow">
        CAPMAS Egypt
      </a>
    </td>
    
    <td>
      Egyptian census and household statistics
    </td>
  </tr>
  
  <tr>
    <td>
      <a href="https://www.statssa.gov.za" rel="nofollow">
        Statistics South Africa
      </a>
    </td>
    
    <td>
      South African demographic statistics
    </td>
  </tr>
</tbody>
</table>

### Zentralbanken & Ministerien

<table>
<thead>
  <tr>
    <th>
      Quelle
    </th>
    
    <th>
      Typische Abdeckung
    </th>
  </tr>
</thead>

<tbody>
  <tr>
    <td>
      <a href="https://www.ecb.europa.eu" rel="nofollow">
        European Central Bank
      </a>
    </td>
    
    <td>
      Euro-area household finance and consumption
    </td>
  </tr>
  
  <tr>
    <td>
      <a href="https://www.bundesbank.de" rel="nofollow">
        Deutsche Bundesbank
      </a>
    </td>
    
    <td>
      German household wealth and income
    </td>
  </tr>
  
  <tr>
    <td>
      <a href="https://www.bankofengland.co.uk" rel="nofollow">
        Bank of England
      </a>
    </td>
    
    <td>
      UK household finance data
    </td>
  </tr>
  
  <tr>
    <td>
      <a href="https://fred.stlouisfed.org" rel="nofollow">
        FRED (St. Louis Fed)
      </a>
    </td>
    
    <td>
      US economic time series
    </td>
  </tr>
  
  <tr>
    <td>
      <a href="https://www.banque-france.fr" rel="nofollow">
        Banque de France
      </a>
    </td>
    
    <td>
      French household finance
    </td>
  </tr>
  
  <tr>
    <td>
      <a href="https://www.bancaditalia.it" rel="nofollow">
        Banca d'Italia
      </a>
    </td>
    
    <td>
      Italian household income and wealth survey
    </td>
  </tr>
  
  <tr>
    <td>
      <a href="https://www.bde.es" rel="nofollow">
        Banco de España
      </a>
    </td>
    
    <td>
      Spanish household finance survey
    </td>
  </tr>
  
  <tr>
    <td>
      <a href="https://www.snb.ch" rel="nofollow">
        Swiss National Bank
      </a>
    </td>
    
    <td>
      Swiss economic and financial data
    </td>
  </tr>
  
  <tr>
    <td>
      <a href="https://www.boj.or.jp" rel="nofollow">
        Bank of Japan
      </a>
    </td>
    
    <td>
      Japanese economic and consumption data
    </td>
  </tr>
  
  <tr>
    <td>
      <a href="https://www.bok.or.kr" rel="nofollow">
        Bank of Korea
      </a>
    </td>
    
    <td>
      Korean macroeconomic statistics
    </td>
  </tr>
  
  <tr>
    <td>
      <a href="https://www.banxico.org.mx" rel="nofollow">
        Banco de México
      </a>
    </td>
    
    <td>
      Mexican economic indicators
    </td>
  </tr>
  
  <tr>
    <td>
      <a href="https://www.bcb.gov.br" rel="nofollow">
        Banco Central do Brasil
      </a>
    </td>
    
    <td>
      Brazilian economic indicators
    </td>
  </tr>
  
  <tr>
    <td>
      <a href="https://www.rba.gov.au" rel="nofollow">
        Reserve Bank of Australia
      </a>
    </td>
    
    <td>
      Australian economic data
    </td>
  </tr>
  
  <tr>
    <td>
      <a href="https://www.meti.go.jp" rel="nofollow">
        METI Japan
      </a>
    </td>
    
    <td>
      Japanese industry and trade statistics
    </td>
  </tr>
  
  <tr>
    <td>
      <a href="https://www.soumu.go.jp" rel="nofollow">
        MIC Japan
      </a>
    </td>
    
    <td>
      Japanese communications and household surveys
    </td>
  </tr>
  
  <tr>
    <td>
      <a href="https://www.cao.go.jp" rel="nofollow">
        Cabinet Office Japan
      </a>
    </td>
    
    <td>
      Japanese consumer confidence and policy data
    </td>
  </tr>
  
  <tr>
    <td>
      <a href="https://www.rieti.go.jp" rel="nofollow">
        RIETI
      </a>
    </td>
    
    <td>
      Japanese economic and industry research
    </td>
  </tr>
  
  <tr>
    <td>
      <a href="https://www.niti.gov.in" rel="nofollow">
        NITI Aayog
      </a>
    </td>
    
    <td>
      Indian policy and development indicators
    </td>
  </tr>
  
  <tr>
    <td>
      <a href="https://www.ipea.gov.br" rel="nofollow">
        IPEA
      </a>
    </td>
    
    <td>
      Brazilian applied economic research
    </td>
  </tr>
  
  <tr>
    <td>
      <a href="https://www.coneval.org.mx" rel="nofollow">
        CONEVAL
      </a>
    </td>
    
    <td>
      Mexican social development measurement
    </td>
  </tr>
  
  <tr>
    <td>
      <a href="https://statistik.arbeitsagentur.de" rel="nofollow">
        Bundesagentur für Arbeit
      </a>
    </td>
    
    <td>
      German labour market statistics
    </td>
  </tr>
</tbody>
</table>

### Gesundheits- & Wissenschaftsbehörden

<table>
<thead>
  <tr>
    <th>
      Quelle
    </th>
    
    <th>
      Typische Abdeckung
    </th>
  </tr>
</thead>

<tbody>
  <tr>
    <td>
      <a href="https://www.cdc.gov" rel="nofollow">
        Centers for Disease Control and Prevention
      </a>
    </td>
    
    <td>
      US health behaviour and prevalence
    </td>
  </tr>
  
  <tr>
    <td>
      <a href="https://www.nih.gov" rel="nofollow">
        National Institutes of Health
      </a>
    </td>
    
    <td>
      US biomedical and behavioural research
    </td>
  </tr>
  
  <tr>
    <td>
      <a href="https://www.rki.de" rel="nofollow">
        Robert Koch Institute
      </a>
    </td>
    
    <td>
      German public-health surveillance
    </td>
  </tr>
  
  <tr>
    <td>
      <a href="https://digital.nhs.uk" rel="nofollow">
        NHS Digital
      </a>
    </td>
    
    <td>
      UK health service statistics
    </td>
  </tr>
  
  <tr>
    <td>
      <a href="https://www.icmr.gov.in" rel="nofollow">
        ICMR
      </a>
    </td>
    
    <td>
      Indian medical research statistics
    </td>
  </tr>
</tbody>
</table>

### Akademische & Survey-Programme

<table>
<thead>
  <tr>
    <th>
      Quelle
    </th>
    
    <th>
      Typische Abdeckung
    </th>
  </tr>
</thead>

<tbody>
  <tr>
    <td>
      <a href="https://www.pewresearch.org" rel="nofollow">
        Pew Research Center
      </a>
    </td>
    
    <td>
      Attitudinal and social-trend surveys
    </td>
  </tr>
  
  <tr>
    <td>
      <a href="https://www.gallup.com" rel="nofollow">
        Gallup
      </a>
    </td>
    
    <td>
      Global attitudinal and workplace surveys
    </td>
  </tr>
  
  <tr>
    <td>
      <a href="https://europa.eu/eurobarometer" rel="nofollow">
        Eurobarometer
      </a>
    </td>
    
    <td>
      EU public opinion surveys
    </td>
  </tr>
  
  <tr>
    <td>
      <a href="https://www.europeansocialsurvey.org" rel="nofollow">
        European Social Survey
      </a>
    </td>
    
    <td>
      Cross-national attitudinal survey
    </td>
  </tr>
  
  <tr>
    <td>
      <a href="https://www.worldvaluessurvey.org" rel="nofollow">
        World Values Survey
      </a>
    </td>
    
    <td>
      Global values and beliefs survey
    </td>
  </tr>
  
  <tr>
    <td>
      <a href="https://www.gesis.org" rel="nofollow">
        GESIS
      </a>
    </td>
    
    <td>
      German social science data archive
    </td>
  </tr>
  
  <tr>
    <td>
      <a href="https://www.diw.de/soep" rel="nofollow">
        SOEP (DIW Berlin)
      </a>
    </td>
    
    <td>
      German socio-economic panel
    </td>
  </tr>
  
  <tr>
    <td>
      <a href="https://www.diw.de" rel="nofollow">
        DIW Berlin
      </a>
    </td>
    
    <td>
      German economic research institute
    </td>
  </tr>
  
  <tr>
    <td>
      <a href="https://www.ifo.de" rel="nofollow">
        ifo Institute
      </a>
    </td>
    
    <td>
      German business and consumer climate
    </td>
  </tr>
  
  <tr>
    <td>
      <a href="https://www.iza.org" rel="nofollow">
        IZA
      </a>
    </td>
    
    <td>
      Labour economics research
    </td>
  </tr>
  
  <tr>
    <td>
      <a href="https://www.icpsr.umich.edu" rel="nofollow">
        ICPSR
      </a>
    </td>
    
    <td>
      Social science data repository
    </td>
  </tr>
  
  <tr>
    <td>
      <a href="https://www.rand.org" rel="nofollow">
        RAND Corporation
      </a>
    </td>
    
    <td>
      Policy and behavioural research
    </td>
  </tr>
  
  <tr>
    <td>
      <a href="https://www.brookings.edu" rel="nofollow">
        Brookings Institution
      </a>
    </td>
    
    <td>
      Economic and social policy research
    </td>
  </tr>
  
  <tr>
    <td>
      <a href="https://www.jil.go.jp" rel="nofollow">
        JILPT
      </a>
    </td>
    
    <td>
      Japanese labour policy research
    </td>
  </tr>
</tbody>
</table>

### Branchen- & Verbandsforschung

<table>
<thead>
  <tr>
    <th>
      Quelle
    </th>
    
    <th>
      Typische Abdeckung
    </th>
  </tr>
</thead>

<tbody>
  <tr>
    <td>
      <a href="https://www.bitkom.org" rel="nofollow">
        Bitkom
      </a>
    </td>
    
    <td>
      German digital-sector research
    </td>
  </tr>
  
  <tr>
    <td>
      <a href="https://www.statista.com" rel="nofollow">
        Statista
      </a>
    </td>
    
    <td>
      Aggregated market data citing primary sources
    </td>
  </tr>
  
  <tr>
    <td>
      <a href="https://yougov.com" rel="nofollow">
        YouGov
      </a>
    </td>
    
    <td>
      Consumer panel and attitudinal data
    </td>
  </tr>
  
  <tr>
    <td>
      <a href="https://www.ipsos.com" rel="nofollow">
        Ipsos
      </a>
    </td>
    
    <td>
      Market and social research
    </td>
  </tr>
  
  <tr>
    <td>
      <a href="https://www.nielsen.com" rel="nofollow">
        Nielsen
      </a>
    </td>
    
    <td>
      Media and consumer measurement
    </td>
  </tr>
  
  <tr>
    <td>
      <a href="https://www.gwi.com" rel="nofollow">
        GWI
      </a>
    </td>
    
    <td>
      Global consumer survey data
    </td>
  </tr>
</tbody>
</table>

## Was diese Liste nicht ist

Dies sind **öffentliche Quellen, die wir lesen und zitieren**. Sie sind keine Partner, Sponsoren oder Unterstützer von Minds. Die Nennung impliziert keine Geschäftsbeziehung, Lizenz oder Prüfung unserer Arbeit durch die genannte Institution. Handelt es sich um einen kommerziellen Forschungsanbieter, zitieren wir ausschließlich dessen veröffentlichte Ergebnisse.