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Scottish Index of Multiple Deprivation - Employment Indicators: a data cube spreadsheet

The number and percentage of people who are employment deprived

Ratio (Percent Of People) for values of Reference Period
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Measure Type
  1. Count
  2. Ratio
Reference Period
  1. 2014/2015
Reference Area
(showing types of area available in these data)
  1. 2011 Data Zones
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About the Dataset
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In dataset
Next update due
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The 2016 Scottish Index of Multiple Deprivation (SIMD16) was published in August 2016. This dataset contains the indicators that were used to calculate the employment domain of SIMD16.

The main dataset for SIMD16 can be found here.The SIMD employment domain is constructed by counting the number of people claiming a selection of benefits, and the percentage calculated by dividing that sum by the working age population taken from the 2014 small area population estimates.

The benefits used to calculate the employment indicator are as follows:

Working age unemployment claimant count averaged over 12 months (Source: NOMIS)

Working age Incapacity Benefit recipients or Employment and Support Allowance recipients (Source: DWP)

Working age Severe Disablement Allowance recipients (Source: DWP)

The technical notes for SIMD16 can be found here.

Confidentiality Policy
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Quality Management

The Employment domain is calculated by adding all three indicators and dividing them by the (unrevised) 2014 mid-year working age population estimate (source: NRS).

In two data zones, S01010206 and S01010227, the population was zero in the year considered, and employment rates could not be determined.

Accuracy and Reliability

Figures for counts at Data Zone level were rounded to the nearest 5. Rates were rounded to the nearest whole number.

Counts for higher level geographies are based on the aggregation of rounded Data Zone level figures.

Coherence and Comparability

Data zone level indicator scores cannot be compared between 2001 and 2011 data zones due to changed data zone boundaries.

Accessibility and Clarity
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Timeliness and Punctuality
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In February 2019, we updated our methodology for allocating datazones to higher geographies to align with Government Statistical Service Geography Policy. This resulted in revisions to some aggregated figures at Scottish Parliament Constituency level.


This slice of multidimensional data is not a Linked Data resource in the database: it's a virtual resource (i.e. you can't query it by SPARQL). But does have a permanent unique URL which can be bookmarked.
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Dimension Locked Value
Measure Type
Reference Area
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Reference Period
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