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NEET: Measurement, United Kingdom & Overview

A NEET, an acronym for "Not in Education, Employment, or Training", is a person who is unemployed and not receiving an education or vocational training. The classification originated in the United Kingdom in the late 1990s, and its use has spread, in varying degrees, to other countries, including Canada, China, Japan, Serbia, South Korea and the United…

Language: English [EN]
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NEET topic overview

The analysis highlights Measurement, United Kingdom and Overview as prominent areas in the source structure around NEET.

Related topics
59
Source areas
8
Connected nodes
72
Extracted relationships
79
Related term clusters
24
Bridge connections
72

What this topic covers Research coverage

Source areas are shown by the number of related topics found in each part of the analysis. Use smaller areas too: they can reveal specialized angles and content gaps.

United Kingdom · 28 topics
Overview · 17 topics
European Union · 4 topics
Japan · 3 topics
Canada · 2 topics
Iberia and Latin America · 2 topics
United States · 2 topics
Australia · 1 topics

Smaller areas are not necessarily less important. They contain fewer connections in this analysis and can be useful for finding specialized angles or coverage gaps.

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Explore all related topics Closing gaps

Browse the complete topic structure, not only the most central items. Less prominent entities and concepts can reveal missing angles, specialized context and useful research gaps. Each item opens a new analysis centered on that subject.

Overview

United Kingdom

Japan

Australia

Canada

Iberia and Latin America

United States

European Union

Sources

For the semantics nerds

You can skip this section if you’re here for content ideas and keyword inspiration.

Advanced semantic analysis

How NEET connects Entity context

The extracted context around NEET shows recurring relationship patterns in the source. For example, NEET → Andy Furlong, Department, DfE, Education, England, Karen Robson, Knowledge, Labour Force Survey, Malcolm Payne, NEETs, Northern Ireland, Prince's Trust, Scotland, Scott Yates, SEU, Social Exclusion Unit, The Guardian, UK, Wales Another extracted example is NEET → Achieve, Aim, ALMA, Ausbildung, EU, EURES, European Commission, German, IdA, Integration, Learn, Leonardo, Master, Vinci. Use these groups to spot repeated connection types before inspecting the individual relationships.

NEET

Top relations

related to United Kingdom · 19
NEET → Andy Furlong, Department, DfE, Education, England, Karen Robson, Knowledge, Labour Force Survey, Malcolm Payne, NEETs, Northern Ireland, Prince's Trust, Scotland, Scott Yates, SEU, Social Exclusion Unit, The Guardian, UK, Wales
related to European Union · 14
NEET → Achieve, Aim, ALMA, Ausbildung, EU, EURES, European Commission, German, IdA, Integration, Learn, Leonardo, Master, Vinci
related to Canada · 9
NEET → According, Canada, Canadian NEET, Canadians, COVID-19, G7, Labour Force Survey, NEETs, Statistics Canada
related to Iberia and Latin America · 7
NEET → Argentina, Chile, In Portuguese, In Spain, Mexico, Peru, Uruguay
related to Japan · 7
NEET → Health, Japanese, Japanese Ministry, Labor, NEETs, September, Welfare
related to Australia · 6
NEET → Australians, Development, Economic Co-operation, NEETs, OECD, Organization
related to United States · 6
NEET → Americans, Given, Great Recession, Journalist Peter Gumbel, NEETs, Time
related to NEET rates in OECD countries · 4
NEET → NEETs, OECD, Turkey, YouTube
is a · 1
NEET → distinct social policy category from that of freeter

Important terminology

Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.

Important terminology

neets people education aged young training employment youth 16 classification 2011 24 work number force 15 unemployment report unemployed england

NEET relationships Subject–Predicate–Object triples

TTTA extracted 79 structured relationships around NEET. Examples in this analysis include NEET → is a → distinct social policy category from that of freeter and Kudo Kei → instance of → the most promising solutions to the NEET conundrum have been created by social entrepreneurs. The table shows each extracted connection, where it came from and its confidence.

SubjectPredicateObjectConfidenceSrc
NEETis adistinct social policy category from that of freeter0.90text
Kudo Keiinstance ofthe most promising solutions to the NEET conundrum have been created by social entrepreneurs0.80text
Iwamoto Mami rather than by MHLW policymakers or even scholars.Unlike most Western European countriesinstance ofthe most promising solutions to the NEET conundrum have been created by social entrepreneurs0.80text
Japan's unemployment benefit terminates automatically after three to six monthsinstance ofthe most promising solutions to the NEET conundrum have been created by social entrepreneurs0.80text
there is a limited range of support for those with special needsinstance ofthe most promising solutions to the NEET conundrum have been created by social entrepreneurs0.80text
Time have published articles discussing the number of Americans that have qualified as NEETsinstance ofpublications0.80text
with approximately 15instance ofpublications0.80text
NEETrelated to AustraliaOrganization0.60section
NEETrelated to AustraliaEconomic Co-operation0.60section
NEETrelated to AustraliaDevelopment0.60section
NEETrelated to AustraliaOECD0.60section
NEETrelated to AustraliaAustralians0.60section

Related concept clusters Related term clusters

The concept neighborhoods around NEET bring nearby vocabulary together. In this analysis, examples include People, Social and Term. Use the clusters to find adjacent concepts and terminology that may deserve separate research.

  • NEET
    • People
    • Social
    • Term
    • Youth
    • Unemployed
    • Young
    • Category
    • Countries
    • Job
    • Force
    • Report
    • Unemployment
  • neet
    • People
    • Social
    • Term
    • Youth
    • Unemployed
    • Young
    • Category
    • Countries
    • Job
    • Force
    • Report
    • Unemployment
  • education
    • Employment
    • Training
    • People
    • Young
    • Pdf
    • Neet
    • Unemployed
    • England
    • Report
    • Unemployment
    • Work
    • Youth
  • department for education
    • Employment
    • Training
    • People
    • Young
    • Pdf
    • Neet
    • Unemployed
    • England
    • Report
    • Unemployment
    • Work
    • Youth
  • department for education and skills
    • Employment
    • Training
    • People
    • Young
    • Pdf
    • Neet
    • Unemployed
    • England
    • Report
    • Unemployment
    • Work
    • Youth
  • education maintenance allowance
    • Employment
    • Training
    • People
    • Young
    • Pdf
    • Neet
    • Unemployed
    • England
    • Report
    • Unemployment
    • Work
    • Youth
  • education and skills act 2008
    • Employment
    • Training
    • People
    • Young
    • Pdf
    • Neet
    • Unemployed
    • England
    • Report
    • Unemployment
    • Work
    • Youth
  • further education
    • Employment
    • Training
    • People
    • Young
    • Pdf
    • Neet
    • Unemployed
    • England
    • Report
    • Unemployment
    • Work
    • Youth

Connections between topic areas Semantic bridges

For NEET, one of the stronger structural bridges in this analysis connects NEET with United Kingdom. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.

Min side: 3
NEET — United Kingdom · splits 44 ⟂ 29
NEET — Overview · splits 55 ⟂ 18
NEET — European Union · splits 68 ⟂ 5
NEET — Sources · splits 68 ⟂ 5
NEET — Japan · splits 69 ⟂ 4
NEET — Canada · splits 70 ⟂ 3
NEET — Iberia and Latin America · splits 70 ⟂ 3
NEET — United States · splits 70 ⟂ 3

Map overview Semantic statistics

NEET

Nodes73
Edges72
Triples79
Avg. degree1.97
Density0.027397
Components1

Source & methodology

TTTA analyzes the structure around NEET to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Measurement, United Kingdom & Overview, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.

Source: Wikipedia — NEET · EN edition · Analysis: TopicsToTalkAbout

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