Spreadsheet view
Dimensions
| Dimension | Value |
|---|---|
| Measure Type | |
| Reference Period | |
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Reference Area
(Types of area available in these data) |
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Download
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Whole dataset
* *(These may be very large files and are recommended only for users needing to replicate the entire dataset locally for programmatic use.) |
CSVN-Triples |
About the Dataset
Contact
Publisher
Creator
In folders
License
Issued
Modified
Next update due
Description
Number and percentage of people (aged 16-64) in employment who received job related training in the three months prior to interview. People who did not answer this question and full-time students are excluded.
The data used for this indicator is taken from the Annual Population Survey (APS). The APS was introduced in January 2004 and it has replaced the Annual Local Area Labour Force Survey. The APS combines results from the Labour Force Survey ( LFS) and the English, Welsh and Scottish Labour Force Survey boosts. The boosts increase the sample size which means the APS can provide more robust labour market estimates for local areas compared to the main LFS. Thus the APS is the primary source for information on local labour markets providing headline estimates on employment, unemployment and economic activity. The APS is the largest annual household survey in Scotland and provides a wealth of information about individuals' personal circumstances and their work. The LFS surveys individuals living at private households in the UK and is designed to be representative of the national population.
The Scottish Government funds the boost to the LFS sample in Scotland, taking the sample size from approximately 8,000 households for the each year to 23,000 households.
Details
Confidentiality Policy
Quality Management
Accuracy and Reliability
Coherence and Comparability
Accessibility and Clarity
Relevance
Timeliness and Punctuality
Revisions
URI
This is a linked data resource: it has a permanent unique uri at which both humans and machines can find it on the Internet, and which can be used an identifier in queries on our SPARQL endpoint.
Dimensions Linked Data
A linked data-orientated view of dimensions and values
| Dimension | Locked Value |
|---|---|
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Reference Area
http://purl.org/linked-data/sdmx/2009/dimension#refArea
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(not locked to a value) |
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Reference Period
http://purl.org/linked-data/sdmx/2009/dimension#refPeriod
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(not locked to a value) |
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Measure Type
http://purl.org/linked-data/cube#measureType
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(not locked to a value) |
Graphs
Linked Data is stored in graphs. We keep dataset contents (the data) separately from the metadata, to make it easier for you to find exactly what you need.
The data in this dataset are stored in the graph: http://statistics.gov.scot/graph/job-related-training
The data structure definition for this data cube dataset is stored in the same graph as the data: http://statistics.gov.scot/graph/job-related-training
All other metadata about this dataset are stored in the graph: http://statistics.gov.scot/graph/job-related-training/metadata
Linked Data Resources
A breakdown by type of the 472 resources in this dataset's data graph.
| Resource type | Number of resources |
|---|---|
| Collection | 2 |
| Component specification | 7 |
| Data structure definition | 1 |
| Observation | 462 |
All metadata
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Number, and percent, of people receiving job related training in the last 3 months. xsd:string
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Contact email http://publishmydata.com/def/dataset#contactEmail
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Scottish Government http://statistics.gov.scot/id/organisation/scottish-government
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July 29, 2014 02:00 xsd:dateTime
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February 09, 2016 13:21 xsd:dateTime
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Number and percentage of people (aged 16-64) in employment who received job related training in the three months prior to interview. People who did not answer this question and full-time students are excluded. The data used for this indicator is taken from the Annual Population Survey (APS). The APS was introduced in January 2004 and it has replaced the Annual Local Area Labour Force Survey. The APS combines results from the Labour Force Survey ( LFS) and the English, Welsh and Scottish Labour Force Survey boosts. The boosts increase the sample size which means the APS can provide more robust labour market estimates for local areas compared to the main LFS. Thus the APS is the primary source for information on local labour markets providing headline estimates on employment, unemployment and economic activity. The APS is the largest annual household survey in Scotland and provides a wealth of information about individuals' personal circumstances and their work. The LFS surveys individuals living at private households in the UK and is designed to be representative of the national population. The Scottish Government funds the boost to the LFS sample in Scotland, taking the sample size from approximately 8,000 households for the each year to 23,000 households. xsd:string
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Graph http://publishmydata.com/def/dataset#graph
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In folder http://publishmydata.com/def/ontology/folder/inFolder
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Economic Activity, Benefits and Tax Credits http://statistics.gov.scot/def/concept/folders/themes/economic-activity-benefits-and-tax-credits
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Scottish Government http://statistics.gov.scot/def/concept/folders/organisations/scottish-government
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Job Related Training xsd:string
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Scottish Government http://statistics.gov.scot/id/organisation/scottish-government
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Economic Activity, Benefits and Tax Credits http://statistics.gov.scot/def/concept/folders/themes/economic-activity-benefits-and-tax-credits
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Job Related Training xsd:string
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Data set http://purl.org/linked-data/cube#DataSet
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Dataset http://publishmydata.com/def/dataset#Dataset
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dataset http://rdfs.org/ns/void#Dataset
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Dataset http://www.w3.org/ns/dcat#Dataset
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http://statistics.gov.scot/data/structure/job-related-training http://statistics.gov.scot/data/structure/job-related-training
Machine-readable formats
In addition to this bookmarkable html page, this dataset metadata is also available for our robot customers in the following machine-readable formats. Please refer to the API documentation for more details.
| dataset metadata | JSON RDF/XML Turtle N-Triples Atom |