Glossary
Terminology
When consulting this, also see broader terminology.
| Term |
Synonyms |
Explanation |
| EN |
WWW, statista.com |
The English Statista platform |
| DE |
de.statista.com |
The German Statista platform |
| FR |
fr.statista.com |
The French Statista platform |
| ES |
es.statista.com |
The Spanish Statista platform |
Content Types
All of the below listed are content types of the Statista platform that are relevant to the search.
| Term |
Synonym |
Explanation |
| Editorial Research Intelligence (deprecated term) |
ERI, Product Content |
A former content production department (then merged into the product department, now called "Product Content"). Responsible for the creation of Statistics (+ Forecasts), Reports, and Topics. |
| Strategic Market Insights (deprecated term) |
SMI, Product Data |
A former content production department (then merged into the product department, now called "Product Data"). Responsible for the creation of Market Insights, Consumer Insights (and formerly Company Insights). |
| Statista Media |
Media |
A Statista division that contains the content production team for Infographics/ Daily Data. Different from Statista Content & Design! |
ID systems
| Term |
Synonym |
Explanation |
| Content ID |
idcontent, content_id |
Describes a non-unique identifier of a content item* |
| Entity ID |
idEntity, entity_id |
Describes a unique identifier of the content type for a content item. |
*The content ID is unique in the context of their content type, meaning that e.g. entity_id + content_id would be unique through all content.
Entity IDs
Note: Red entries are deprecated.
| ID |
Entity |
Explanation |
Content-Type |
| 1 |
Statistic |
|
Statistic |
| 3 |
Topic |
|
Topic |
| 4 |
Study |
|
Study |
| 5 |
Infographic |
|
Infographic |
| 7 |
Company |
|
Company |
| 8 |
Forecast |
|
Statistic |
| 11 |
DMO |
Digital Market Outlook |
Outlook |
| 14 |
CMO |
Consumer Market Outlook |
Outlook |
| 16 |
Dossier |
|
Study |
| 17 |
Branch Report |
|
Study |
| 18 |
Toplist |
|
Study |
| 19 |
Survey |
|
Study |
| 20 |
XMO |
X as in any Market Outlook |
Study |
| 21 |
Market Study |
|
Study |
| 22 |
Country Report |
|
Study |
| 23 |
MMO |
Mobility Market Outlook |
Outlook |
| 24 |
CO |
Country Outlook |
Outlook |
| 25 |
TMO |
Technology Market Outlook |
Outlook |
| 26 |
GCS |
Global Consumer Survey |
GCS |
| 27 |
AMO |
Advertising Market Outlook |
Outlook |
| 28 |
IO |
Industry Outlook |
Outlook |
| 36 |
Dossier Plus |
|
Study |
| 38 |
Brand Report |
|
Study |
| 40 |
City Report |
|
Study |
| 42 |
Company Report |
|
Study |
| 44 |
E-CommerceDB Report (DE) |
|
Study |
| 45 |
E-CommerceDB Report (EN) |
|
Study |
| 50 |
HMO |
Health Market Outlook |
Outlook |
| 51 |
FMO |
Financial Market Outlook |
Outlook |
| 52 |
EMO |
Ecommerce Market Outlook |
Outlook |
| 54 |
EcommerceDB (DE) |
|
E-commerce Insights |
| 55 |
EcommerceDB (EN) |
|
E-commerce Insights |
Method IDs
While having Entities / Entity-Ids we have a special case in terms of Studies (entity_id = 4). If a document has that entity_id, another specializing takes place and the study custom id (field study.method.id) is considered. Based on that ID, the real Entity is chosen:
| Method id |
Name |
Platform |
| 1 |
Erhebung |
EN, DE |
| 4 |
Marktstudie |
DE |
| 6 |
Geschäftsbericht |
DE |
| 7 |
Datenreport |
DE |
| 8 |
Statista-Dossier |
DE |
| 9 |
Briefing |
DE |
| 10 |
Management Summary |
DE |
| 11 |
Report |
DE |
| 12 |
Fragebogen |
DE |
| 13 |
Daten / Tabellen |
DE |
| 14 |
investigation |
EN, DE, FR, ES |
| 15 |
market study |
EN, FR, ES |
| 16 |
business report |
EN, FR, ES |
| 17 |
data report |
EN, DE, FR, ES |
| 18 |
Statista Dossier |
EN |
| 19 |
briefing |
EN, FR, ES |
| 20 |
management summary |
EN |
| 21 |
report |
EN, FR, ES |
| 22 |
questionnaire |
EN, FR, ES |
| 23 |
data |
EN, FR |
| 24 |
Statista-Branchenreport |
DE |
| 25 |
Statista Industry Report |
EN, FR |
| 26 |
Statista-Topliste |
DE |
| 27 |
Statista Toplist |
EN |
| 28 |
Statista-Umfrage |
DE |
| 29 |
Statista Survey |
EN, ES |
| 30 |
XMO-Studie |
DE |
| 31 |
XMO Study |
EN, FR, ES |
| 32 |
Statista-Marktstudie |
DE |
| 33 |
Statista Market Study |
EN, FR |
| 34 |
Statista-Länderreport |
DE |
| 35 |
Statista Country Report |
EN |
| 37 |
Statista DossierPlus |
EN |
| 38 |
Statista - Brand Report |
DE |
| 39 |
Statista - Brand Report |
EN, DE |
| 40 |
Statista - City Report |
DE |
| 41 |
Statista - City Report |
EN |
| 42 |
Statista - Company Report |
DE |
| 43 |
Statista - Company Report |
EN |
| 44 |
Statista - ecommerceDB Reports |
DE |
| 45 |
Statista - ecommerceDB Reports |
EN, ES |
| 46 |
Statistics Report |
DE |
| 47 |
Statistics Report |
EN, DE, FR, ES |
| 48 |
Statista - Overview Report |
DE |
| 49 |
Statista - Overview Report |
EN |
| 50 |
Statista - Trend Report |
DE |
| 51 |
Statista - Trend Report |
EN |
| 52 |
Statista - Spotlight Report |
DE |
| 53 |
Spotlight Report |
EN |
The code samples can be found in the functions getTitle & getContent here: search.module.js
The translations can be found here: messages.en.xliff
Compliance IDs
Statista sometimes acquires data for its content from other sources. Hence, we need to follow certain compliance guidelines for such content. Not all content is e.g. allowed to be distributed via an API. We have a system of compliance IDs, that indicate the legal situation of the content source. Some of them need approval (via the compliance tool), and some don't.
To read more about the whole compliance workflow, check out this document.
Workstatus IDs
Items created at Statista can be in different work statuses, depending on whether they are WIP, published, etc. We use a system of workstatus ids, to mark in which state an item currently is. Only published items so workstatus in [1, 9] should be visible in the search and other consumers.
| Content workstatus id (on EN) |
Content workstatus name (on EN) |
Content workstatus id (on DE) |
Content workstatus name (on DE) |
| 8 |
work in progress |
14 |
In Arbeit |
| 9 |
published (live) |
1 |
Veröffentlicht |
| 10 |
not published |
2 |
Unveröffentlicht |
| 11 |
to be checked |
3 |
zur Kontrolle |
Region IDs
A majority of content types at Statista used a region ID system that contains 282 regions and was created by Statista. This region schema works with parents, meaning that regions can have a hierarchical connection. Technically this region schema follows 4 Parent-Layers:
- Top Layer: Continents / Worldwide
- 2nd Layer: Economic Areas / Overarching Countries (e.g. DACH, or the United Kingdom)
- 3rd Layer: Countries
- 4th Layer: States (only for Germany and the USA)
However, you'll notice, that some regions that would have a possible parent (like e.g. DACH → Europe) are not assigned as such.
Note: The lists are collapsed since they are quite long.
Top Layer
Uncollapse to see top layer regions
| Region id |
Region name |
Parent |
| 1 |
Worldwide |
-- |
| 2 |
Africa |
-- |
| 3 |
North America |
-- |
| 142 |
Asia |
-- |
| 150 |
Europe |
-- |
| 419 |
Latin America |
-- |
| 10001 |
Antarctica |
-- |
| 10002 |
Australia and Oceania |
-- |
| 10008 |
EU |
-- |
| 10009 |
OECD |
-- |
| 10010 |
APAC |
-- |
| 10011 |
MENA |
-- |
| 10089 |
Latin America and the Caribbean |
-- |
Remark: You'll see that some of these regions are not continents
2nd Layer
Uncollapse to see 2nd layer regions
| Region id |
Region name |
Parent |
| 10007 |
DACH |
-- |
| 10088 |
Central and Eastern Europe |
-- |
| 826 |
United Kingdom |
150 |
3rd Layer
Uncollapse to see 3rd layer regions
| Region id |
Region name |
Parent |
| 12 |
Algeria |
2 |
| 24 |
Angola |
2 |
| 72 |
Botswana |
2 |
| 108 |
Burundi |
2 |
| 120 |
Cameroon |
2 |
| 140 |
Central African Republic |
2 |
| 148 |
Chad |
2 |
| 178 |
Congo, (Congo Brazzaville) |
2 |
| 180 |
Congo, (Congo Kinshasa) |
2 |
| 204 |
Benin |
2 |
| 226 |
Equatorial Guinea |
2 |
| 231 |
Ethiopia |
2 |
| 232 |
Eritrea |
2 |
| 262 |
Djibouti |
2 |
| 266 |
Gabon |
2 |
| 270 |
Gambia, The |
2 |
| 288 |
Ghana |
2 |
| 324 |
Guinea |
2 |
| 384 |
Cote d'Ivoire (Ivory Coast) |
2 |
| 404 |
Kenya |
2 |
| 430 |
Liberia |
2 |
| 434 |
Libya |
2 |
| 450 |
Madagascar |
2 |
| 454 |
Malawi |
2 |
| 466 |
Mali |
2 |
| 478 |
Mauritania |
2 |
| 480 |
Mauritius |
2 |
| 504 |
Morocco |
2 |
| 508 |
Mozambique |
2 |
| 516 |
Namibia |
2 |
| 562 |
Niger |
2 |
| 566 |
Nigeria |
2 |
| 646 |
Rwanda |
2 |
| 686 |
Senegal |
2 |
| 690 |
Seychelles |
2 |
| 694 |
Sierra Leone |
2 |
| 706 |
Somalia |
2 |
| 710 |
South Africa |
2 |
| 716 |
Zimbabwe |
2 |
| 728 |
South Sudan |
2 |
| 736 |
Sudan |
2 |
| 768 |
Togo |
2 |
| 788 |
Tunisia |
2 |
| 800 |
Uganda |
2 |
| 818 |
Egypt |
2 |
| 834 |
Tanzania |
2 |
| 854 |
Burkina Faso |
2 |
| 894 |
Zambia |
2 |
| 895 |
Cape Verde |
2 |
| 10090 |
Lesotho |
2 |
| 10091 |
Eswatini |
2 |
| Region id |
Region name |
Parent |
| 124 |
Canada |
3 |
| 484 |
Mexico |
3 |
| 840 |
United States |
3 |
| Region id |
Region name |
Parent |
| 4 |
Afghanistan |
142 |
| 31 |
Azerbaijan |
142 |
| 48 |
Bahrain |
142 |
| 50 |
Bangladesh |
142 |
| 51 |
Armenia |
142 |
| 64 |
Bhutan |
142 |
| 96 |
Brunei |
142 |
| 104 |
Myanmar (Burma) |
142 |
| 116 |
Cambodia |
142 |
| 144 |
Sri Lanka |
142 |
| 156 |
China, People's Republic of |
142 |
| 158 |
China, Republic of (Taiwan) |
142 |
| 268 |
Georgia |
142 |
| 344 |
Hong Kong |
142 |
| 356 |
India |
142 |
| 360 |
Indonesia |
142 |
| 364 |
Iran |
142 |
| 368 |
Iraq |
142 |
| 376 |
Israel |
142 |
| 392 |
Japan |
142 |
| 398 |
Kazakhstan |
142 |
| 400 |
Jordan |
142 |
| 408 |
Korea, North |
142 |
| 410 |
Korea, South |
142 |
| 414 |
Kuwait |
142 |
| 417 |
Kyrgyzstan |
142 |
| 418 |
Laos |
142 |
| 422 |
Lebanon |
142 |
| 446 |
Macau |
142 |
| 458 |
Malaysia |
142 |
| 496 |
Mongolia |
142 |
| 512 |
Oman |
142 |
| 524 |
Nepal |
142 |
| 586 |
Pakistan |
142 |
| 608 |
Philippines |
142 |
| 626 |
Timor-Leste (East Timor) |
142 |
| 634 |
Qatar |
142 |
| 682 |
Saudi Arabia |
142 |
| 702 |
Singapore |
142 |
| 704 |
Vietnam |
142 |
| 760 |
Syria |
142 |
| 762 |
Tajikistan |
142 |
| 764 |
Thailand |
142 |
| 784 |
United Arab Emirates |
142 |
| 795 |
Turkmenistan |
142 |
| 860 |
Uzbekistan |
142 |
| 887 |
Yemen |
142 |
| 10012 |
Palestinian territories |
142 |
| Region id |
Region name |
Parent |
| 8 |
Albania |
150 |
| 20 |
Andorra |
150 |
| 40 |
Austria |
150 |
| 56 |
Belgium |
150 |
| 70 |
Bosnia and Herzegovina |
150 |
| 100 |
Bulgaria |
150 |
| 112 |
Belarus |
150 |
| 191 |
Croatia |
150 |
| 196 |
Cyprus |
150 |
| 203 |
Czech Republic |
150 |
| 208 |
Denmark |
150 |
| 233 |
Estonia |
150 |
| 234 |
Faroe Islands |
150 |
| 246 |
Finland |
150 |
| 250 |
France |
150 |
| 276 |
Germany |
150 |
| 300 |
Greece |
150 |
| 304 |
Greenland |
150 |
| 336 |
Vatican City |
150 |
| 348 |
Hungary |
150 |
| 352 |
Iceland |
150 |
| 372 |
Ireland |
150 |
| 380 |
Italy |
150 |
| 428 |
Latvia |
150 |
| 438 |
Liechtenstein |
150 |
| 440 |
Lithuania |
150 |
| 442 |
Luxembourg |
150 |
| 470 |
Malta |
150 |
| 492 |
Monaco |
150 |
| 498 |
Moldova |
150 |
| 499 |
Montenegro |
150 |
| 528 |
Netherlands |
150 |
| 578 |
Norway |
150 |
| 616 |
Poland |
150 |
| 620 |
Portugal |
150 |
| 642 |
Romania |
150 |
| 643 |
Russia |
150 |
| 674 |
San Marino |
150 |
| 688 |
Serbia |
150 |
| 703 |
Slovakia |
150 |
| 705 |
Slovenia |
150 |
| 724 |
Spain |
150 |
| 752 |
Sweden |
150 |
| 756 |
Switzerland |
150 |
| 792 |
Turkey |
150 |
| 804 |
Ukraine |
150 |
| 807 |
North Macedonia |
150 |
| 10014 |
Kosovo |
150 |
| 10036 |
German Democratic Republic |
150 |
| Region id |
Region name |
Parent |
| 28 |
Antigua and Barbuda |
419 |
| 32 |
Argentina |
419 |
| 44 |
Bahamas |
419 |
| 52 |
Barbados |
419 |
| 60 |
Bermuda |
419 |
| 68 |
Bolivia |
419 |
| 76 |
Brazil |
419 |
| 84 |
Belize |
419 |
| 92 |
British Virgin Islands |
419 |
| 152 |
Chile |
419 |
| 170 |
Colombia |
419 |
| 188 |
Costa Rica |
419 |
| 192 |
Cuba |
419 |
| 212 |
Dominica |
419 |
| 214 |
Dominican Republic |
419 |
| 218 |
Ecuador |
419 |
| 222 |
El Salvador |
419 |
| 308 |
Grenada |
419 |
| 320 |
Guatemala |
419 |
| 328 |
Guyana |
419 |
| 332 |
Haiti |
419 |
| 340 |
Honduras |
419 |
| 388 |
Jamaica |
419 |
| 531 |
Curaçao |
419 |
| 534 |
Sint Maarten |
419 |
| 535 |
Bonaire |
419 |
| 558 |
Nicaragua |
419 |
| 591 |
Panama |
419 |
| 600 |
Paraguay |
419 |
| 604 |
Peru |
419 |
| 630 |
Puerto Rico |
419 |
| 659 |
Saint Kitts and Nevis |
419 |
| 662 |
Saint Lucia |
419 |
| 670 |
Saint Vincent and the Grenadines |
419 |
| 740 |
Suriname |
419 |
| 780 |
Trinidad and Tobago |
419 |
| 850 |
U.S. Virgin Islands |
419 |
| 858 |
Uruguay |
419 |
| 862 |
Venezuela |
419 |
| Region id |
Region name |
Parent |
| 10015 |
Great Britain |
826 |
| 10016 |
England |
826 |
| 10017 |
Scotland |
826 |
| 10018 |
Wales |
826 |
| 10019 |
Northern Ireland |
826 |
| Region id |
Region name |
Parent |
| 36 |
Australia |
10002 |
| 554 |
New Zealand |
10002 |
| 598 |
Papua New Guinea |
10002 |
| 10092 |
Tonga |
10002 |
4th Layer
Uncollapse to see 4th layer regions
| Region id |
Region name |
Parent |
| 10020 |
Schleswig-Holstein |
276 |
| 10021 |
Bremen |
276 |
| 10022 |
Hamburg |
276 |
| 10023 |
Mecklenburg-West Pomerania |
276 |
| 10024 |
Brandenburg |
276 |
| 10025 |
Berlin |
276 |
| 10026 |
Thuringia |
276 |
| 10027 |
Rhineland-Palatinate |
276 |
| 10028 |
Hesse |
276 |
| 10029 |
Bavaria |
276 |
| 10030 |
Baden-Württemberg |
276 |
| 10031 |
Saxony |
276 |
| 10032 |
Saxony-Anhalt |
276 |
| 10033 |
North Rhine-Westphalia |
276 |
| 10034 |
Saarland |
276 |
| 10035 |
Lower Saxony |
276 |
| Region id |
Region name |
Parent |
| 10037 |
Alabama |
840 |
| 10038 |
Alaska |
840 |
| 10039 |
Arizona |
840 |
| 10040 |
Arkansas |
840 |
| 10041 |
Colorado |
840 |
| 10042 |
Connecticut |
840 |
| 10043 |
Delaware |
840 |
| 10044 |
Florida |
840 |
| 10045 |
Georgia |
840 |
| 10046 |
Hawaii |
840 |
| 10047 |
Idaho |
840 |
| 10048 |
Illinois |
840 |
| 10049 |
Indiana |
840 |
| 10050 |
Iowa |
840 |
| 10051 |
California |
840 |
| 10052 |
Kansas |
840 |
| 10053 |
Kentucky |
840 |
| 10054 |
Louisiana |
840 |
| 10055 |
Maine |
840 |
| 10056 |
Maryland |
840 |
| 10057 |
Massachusetts |
840 |
| 10058 |
Michigan |
840 |
| 10059 |
Minnesota |
840 |
| 10060 |
Mississippi |
840 |
| 10061 |
Missouri |
840 |
| 10062 |
Montana |
840 |
| 10063 |
Nebraska |
840 |
| 10064 |
Nevada |
840 |
| 10065 |
New Hampshire |
840 |
| 10066 |
New Jersey |
840 |
| 10067 |
New Mexico |
840 |
| 10068 |
New York |
840 |
| 10069 |
North Carolina |
840 |
| 10070 |
North Dakota |
840 |
| 10071 |
Ohio |
840 |
| 10072 |
Oklahoma |
840 |
| 10073 |
Oregon |
840 |
| 10074 |
Pennsylvania |
840 |
| 10075 |
Rhode Island |
840 |
| 10076 |
South Carolina |
840 |
| 10077 |
South Dakota |
840 |
| 10078 |
Tennessee |
840 |
| 10079 |
Texas |
840 |
| 10080 |
Utah |
840 |
| 10081 |
Vermont |
840 |
| 10082 |
Virginia |
840 |
| 10083 |
Washington |
840 |
| 10084 |
West Virginia |
840 |
| 10085 |
Wisconsin |
840 |
| 10086 |
Wyoming |
840 |
| 10087 |
District of Columbia |
840 |
Remark: You'll see that the Classic Content Tools and NUMERA usually use 3 different region layers. However, according to the structure of parents, there are 4, as shown above.
There is a new region schema used in universal-search. Check it out here.
Industry IDs
Statista offers a variety of industries. In some contexts, they are also named branches. These industries can contain sub-industries and possibly sub-sub-industries. Unfortunately, all different platforms/languages have their ID system for industries.
Level1
| Industry ID (DE) |
Industry Name (DE) |
Industry ID (EN) |
Industry Name (EN) |
Industry ID (ES) |
Industry Name (ES) |
Industry ID (FR) |
Industry Name (FR) |
| 115 |
Werbung & Marketing |
479 |
Advertising & Marketing |
1178 |
Medios de comunicación y marketing |
-- |
-- |
| 18 |
Agrarwirtschaft |
421 |
Agriculture |
1167 |
Agricultura y ganadería |
1147 |
Agriculture |
| 7 |
Chemie & Rohstoffe |
410 |
Chemicals & Resources |
1168 |
Productos químicos y materias primas |
1148 |
Produits chimiques et ressources naturelles |
| 897 |
Bau |
941 |
Construction |
1169 |
Construcción |
1149 |
Construction |
| 12 |
Konsum & FMCG |
415 |
Consumer Goods & FMCG |
1170 |
Bienes de consumo |
1150 |
Biens de consommation |
| 10 |
E-Commerce |
10 |
E-Commerce |
1171 |
Comercio electrónico |
1151 |
E-Commerce |
| 900 |
Wirtschaft & Politik |
2535 |
Economy & Politics |
-- |
-- |
-- |
-- |
| 5 |
Energie & Umwelt |
408 |
Energy & Environment |
1172 |
Energía y medio ambiente |
1152 |
Énergie et services environnementaux |
| 11 |
Finanzen, Versicherungen & Immobilien |
414 |
Finance & Insurance |
1173 |
Finanzas, seguros y bienes inmuebles |
1153 |
Finance, assurances et immobilier |
| 9 |
Pharma & Gesundheit |
412 |
Health Pharma & Medtech |
1174 |
Salud e industria farmacéutica |
1154 |
Santé et produits pharmaceutiques |
| 19 |
Internationale Länderdaten |
19 |
International Country Data |
1175 |
Internacional |
1155 |
International |
| 21 |
Internet |
21 |
Internet |
1176 |
Internet |
1156 |
Internet |
| 13 |
Leben |
416 |
Life |
1177 |
Vida |
1157 |
Vie privée et célébrités |
| 14 |
Medien |
417 |
Media |
-- |
-- |
1158 |
Médias et publicité |
| 4 |
Metall & Elektronik |
407 |
Metals & Electronics |
1179 |
Metalurgia y electrónica |
1159 |
Métaux et électronique |
| 20 |
Handel |
423 |
Retail & Trade |
1180 |
Comercio y establecimientos |
1160 |
Commerce de détail |
| 3 |
Dienstleistungen & Handwerk |
406 |
Services |
1181 |
Servicios |
1161 |
Services |
| 8 |
Gesellschaft |
411 |
Society |
1182 |
Sociedad |
1162 |
Société |
| 6 |
Freizeit |
409 |
Sports & Recreation |
1183 |
Deporte y ocio |
1163 |
Sports et loisirs |
| 51 |
Sport & Fitness |
409 |
Sports & Recreation |
1183 |
Deporte y ocio |
1163 |
Sports et loisirs |
| 2302 |
Statista für Schulen |
2302 |
Statista for Schools |
-- |
-- |
-- |
-- |
| 15 |
Telekommunikation, IT & Consumer Electronics |
418 |
Technology & Telecommunications |
1184 |
Tecnología y telecomunicaciones |
1164 |
Technologie et télécommunications |
| 16 |
Verkehr & Logistik |
419 |
Transportation & Logistics |
1185 |
Logística y transporte |
1165 |
Transports et logistique |
| 17 |
Tourismus & Gastronomie |
420 |
Travel Tourism & Hospitality |
1186 |
Turismo y hostelería |
1166 |
Voyages, tourisme et hébergement |
Level 2 & 3 are tbd (check the DWH if urgent)