Data set from NEET age 16 to 24

NEET primary health condition estimates from the APS

Not the latest data

Published 11 March 2021

Last updated 11 March 2021

Numbers and proportions of those 16-24 by health condition and NEET status from the Annual Population Survey.

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Data set details

• Theme: Destination of pupils and students
• Publication: NEET age 16 to 24
• Release: Calendar year 2020
• Number of rows: 172
• Geographic levels: National
• Indicators:
  • Confidence interval (95%) for the number of 16-24 year olds
  • Confidence interval (95%) for the percentage of 16-24 year olds
  • Lower bound of confidence interval (95%) for the number of 16-24 year olds
  • Lower bound of confidence interval (95%) for the percentage of 16-24 year olds
  • Number of 16-24 year olds (ONS estimate)
  • Number of 16-24 year olds surveyed
  • Percentage of 16-24 year olds
  • Percentage of NEET 16-24 year olds
  • Upper bound of confidence interval (95%) for the number of 16-24 year olds
  • Upper bound of confidence interval (95%) for the percentage of 16-24 year olds
• Filters:
  • Health condition
  • Population estimate
• Time period: 2012 to 2020

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Data set preview

Table showing first 5 rows, from underlying data

time_period	time_identifier	geographic_level	country_code	country_name	total_NEET_NET	health_condition	population	sample_size	conf_interval_number	lower_bound_population	upper_bound_population	percent_of_population	conf_interval_percent_of_population	lower_bound_percent_of_population	upper_bound_percent_of_population	percent_of_NEET
2020	Calendar year	National	E92000001	England	Total	Total	5691287	12318	z	z	z	z	z	z	z	z
2020	Calendar year	National	E92000001	England	Total	No health condition	4372266	9502	+/- 42,410	4329856	4414676	76.8	+/- 0.7pp	76.1	77.6	54.85233864
2020	Calendar year	National	E92000001	England	Total	Any health condition	1319021	2816	+/- 42,410	1276611	1361431	23.2	+/- 0.7pp	22.4	23.9	45.14766136
2020	Calendar year	National	E92000001	England	Total	Problems or disabilities connected with arms/legs/hands/feet/back or neck	106314	220	+/- 13,608	92706	119922	1.9	+/- 0.2pp	1.6	2.1	2.497343035
2020	Calendar year	National	E92000001	England	Total	Difficulty in seeing or hearing	30858	66	+/- 7,381	23477	38239	0.5	+/- 0.1pp	0.4	0.7	0.75155486

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Variables in this data set

Table showing all 12 variables

Variable name	Variable description
conf_interval_number	Confidence interval (95%) for the number of 16-24 year olds
conf_interval_percent_of_population	Confidence interval (95%) for the percentage of 16-24 year olds
health_condition	Health condition - Filter by category of main health condition reported by respondent
lower_bound_percent_of_population	Lower bound of confidence interval (95%) for the percentage of 16-24 year olds
lower_bound_population	Lower bound of confidence interval (95%) for the number of 16-24 year olds
percent_of_NEET	Percentage of NEET 16-24 year olds
percent_of_population	Percentage of 16-24 year olds
population	Number of 16-24 year olds (ONS estimate)
sample_size	Number of 16-24 year olds surveyed
total_NEET_NET	Population estimate - Filter by NEET, NET or Total population estimates
upper_bound_percent_of_population	Upper bound of confidence interval (95%) for the percentage of 16-24 year olds
upper_bound_population	Upper bound of confidence interval (95%) for the number of 16-24 year olds

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Using this data

• Download the underlying data as a compressed ZIP file

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Download this data using code

Access this data using common programming languages using the URL below.

Example code

Python

import pandas as pd

pd.read_csv("https://explore-education-statistics.service.gov.uk/data-catalogue/data-set/f29e5b24-8dab-49cb-91c5-89ab904d9549/csv")

R

read.csv("https://explore-education-statistics.service.gov.uk/data-catalogue/data-set/f29e5b24-8dab-49cb-91c5-89ab904d9549/csv")

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Contact us

If you have a specific enquiry about NEET primary health condition estimates from the APS statistics and data:

Post-16 statistics team

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

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