Data set from NEET age 16 to 24

Other sources comparisons

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Summary NEET estimates from the Department for Education's “NEET 16-24” and "Participation in education and training and employment" annual release, the “National Client Caseload Information System” and the Office for National Statistic's quarterly “Young people not in education, employment or training (NEET)” release used to provide comparison between the different NEET measures.

Data set details

Theme
Destination of pupils and students
Publication
NEET age 16 to 24
Release type
Number of rows
114
Geographic levels
National
Indicators
  • DfE LFS NEET
  • DfE LFS NEET lower bound (95% confidence interval)
  • DfE LFS NEET upper bound (95% confidence interval)
  • DfE LFS NET
  • NCCIS NEET/not known
  • ONS LFS NEET seasonally adjusted
  • Participation release NEET
  • Participation release NET
Filters
  • Age group
  • Quarter of the year
Time period
2000 to 2022

Data set preview

Table showing first 5 rows, from underlying data
time_periodtime_identifiergeographic_levelcountry_codecountry_namequarterageNEETLFSNEETLFSUpperNEETLFSLowerNETLFSNETParticipationNEETParticipationNCCISNEETLFSONS
2016Calendar yearNationalE92000001EnglandQ416-174.65.63.6zz4.46z
2017Calendar yearNationalE92000001EnglandQ416-173.64.52.7zz4.56z
2018Calendar yearNationalE92000001EnglandQ416-174.25.23.2zz45.5z
2019Calendar yearNationalE92000001EnglandQ416-174.55.63.4zz4.35.5z
2020Calendar yearNationalE92000001EnglandQ416-172.93.82zz45.5z

Variables in this data set

Table showing all 10 variables
Variable nameVariable description
ageAge group - Filter by age group. Not all comparisons are possible with either age selection.
NCCISNCCIS NEET/not known
NEETLFSDfE LFS NEET
NEETLFSLowerDfE LFS NEET lower bound (95% confidence interval)
NEETLFSONSONS LFS NEET seasonally adjusted
NEETLFSUpperDfE LFS NEET upper bound (95% confidence interval)
NEETParticipationParticipation release NEET
NETLFSDfE LFS NET
NETParticipationParticipation release NET
quarterQuarter of the year - Filter by quarter of the year. Not all comparisons are possible with all quarters.

Using this data

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Example code

Python
import pandas as pd

pd.read_csv("https://explore-education-statistics.service.gov.uk/data-catalogue/data-set/49d62b3d-71a4-4a47-b3d7-1e6013de48e8/csv")
R
read.csv("https://explore-education-statistics.service.gov.uk/data-catalogue/data-set/49d62b3d-71a4-4a47-b3d7-1e6013de48e8/csv")

Contact us

If you have a specific enquiry about Other sources comparisons statistics and data:

Post-16 statistics team

Email: post16.statistics@education.gov.uk
Contact name: Post-16 statistics team