# People neither in employment nor in education and training, NEET by sex and age 2003-2021

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5/17/2022

Rate, number

VIN01702

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NEET: Not in Education, Employment, or Training

The indicator people neither in employment nor in education and training, abbreviated as NEET, corresponds to the percentage of the population of a given age group and sex who is not employed and not involved in further education or training. The numerator of the indicator refers to persons meeting these two conditions: 1) they are not employed (i.e. unemployed or inactive according to the International Labour Organisation definition)2) they have not received any formal or non-formal education or training in the four weeks preceding the survey. The denominator is the total population of the same age group and sex.The figures are based on information from the labour force survey. The definitions used are international definition, used among others by Eurostat.

Time series from the Icelandic Labour Force Survey from 2003 were updated on March 10th 2021 using new weights and a new estimate for the population.

The use of this confidence intervall is most appropriate when comparing two means. A difference between two estimates is considered statistically significant if the confidence interval of the estimates do not overlap. The lower bounds of the 83,4% confidence intervals are calculated by multiplying the standard error of the rate with 1.386 and substracting this figure from the rate.

The use of this confidence intervall is most appropriate when comparing two means. A difference between two estimates is considered statistically significant if the confidence interval of the estimates do not overlap. The upper bounds of the 83,4% confidence intervals are calculated by multiplying the standard error of the rate with 1.386 and adding this figure to the rate.

The use of this confidence intervall is most appropriate when comparing two means. A difference between two estimates is considered statistically significant if the confidence interval of the estimates do not overlap. The lower bounds of the 83,4% confidence intervals are calculated by multiplying the standard error of the number with 1.386 and substracting this figure from the number.

The use of this confidence intervall is most appropriate when comparing two means. A difference between two estimates is considered statistically significant if the confidence interval of the estimates do not overlap. The upper bounds of the 83,4% confidence intervals are calculated by multiplying the standard error of the number with 1.386 and adding this figure from the number.

The indicator people neither in employment nor in education and training, abbreviated as NEET, corresponds to the percentage of the population of a given age group and sex who is not employed and not involved in further education or training. The numerator of the indicator refers to persons meeting these two conditions: 1) they are not employed (i.e. unemployed or inactive according to the International Labour Organisation definition)2) they have not received any formal or non-formal education or training in the four weeks preceding the survey. The denominator is the total population of the same age group and sex.The figures are based on information from the labour force survey. The definitions used are international definition, used among others by Eurostat.

Time series from the Icelandic Labour Force Survey from 2003 were updated on March 10th 2021 using new weights and a new estimate for the population.

### Unit

#### Rate lower bounds, %

The results come from the labor force survey that is based on a sample of the population and therefore there is uncertainty surrounding the results. To estimate this uncertainty confidence intervals are calculated. The confidence interval estimates how exactly the sample value represents the true value of the population. With 83,4% certainty the true estimate is contained within the upper and the lower bounds.The use of this confidence intervall is most appropriate when comparing two means. A difference between two estimates is considered statistically significant if the confidence interval of the estimates do not overlap. The lower bounds of the 83,4% confidence intervals are calculated by multiplying the standard error of the rate with 1.386 and substracting this figure from the rate.

#### Rate upper bounds, %

The results come from the labor force survey that is based on a sample of the population and therefore there is uncertainty surrounding the results. To estimate this uncertainty confidence intervals are calculated. The confidence interval estimates how exactly the sample value represents the true value of the population. With 83,4% certainty the true estimate is contained within the upper and the lower bounds.The use of this confidence intervall is most appropriate when comparing two means. A difference between two estimates is considered statistically significant if the confidence interval of the estimates do not overlap. The upper bounds of the 83,4% confidence intervals are calculated by multiplying the standard error of the rate with 1.386 and adding this figure to the rate.

#### Number lower bounds

The results come from the labor force survey that is based on a sample of the population and therefore there is uncertainty surrounding the results. To estimate this uncertainty confidence intervals are calculated. The confidence interval estimates how exactly the sample value represents the true value of the population. With 83,4% certainty the true estimate is contained within the upper and the lower bounds.The use of this confidence intervall is most appropriate when comparing two means. A difference between two estimates is considered statistically significant if the confidence interval of the estimates do not overlap. The lower bounds of the 83,4% confidence intervals are calculated by multiplying the standard error of the number with 1.386 and substracting this figure from the number.

#### Number upper bounds

The results come from the labor force survey that is based on a sample of the population and therefore there is uncertainty surrounding the results. To estimate this uncertainty confidence intervals are calculated. The confidence interval estimates how exactly the sample value represents the true value of the population. With 83,4% certainty the true estimate is contained within the upper and the lower bounds.The use of this confidence intervall is most appropriate when comparing two means. A difference between two estimates is considered statistically significant if the confidence interval of the estimates do not overlap. The upper bounds of the 83,4% confidence intervals are calculated by multiplying the standard error of the number with 1.386 and adding this figure from the number.