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How to Find and Use Statistics on Education, How to Find and Use Statistics on Education, Skills & EmploymentSkills & Employment
Emma Charnock - Regional Observatory Manager
Adam Crockett – Senior Economic Analyst
The Regional Intelligence Unit (RIU)
The Team has the cross-cutting theme of providing support to NWDA colleagues and regional partners. This is achieved by:
• Data & Analysis• Monitoring & Benchmarking Data • Consultations/Small Scale Surveys• Commission Research • Economic Assessment • Briefings on Research/Policy
www.nwriu.co.uk • Helping to disseminate and widen access to data and intelligence
Education Data
• Department for Children, Schools & Families (DCSF) http://www.dcsf.gov.uk
• Examples – GCSE & A Level results, class sizes, key stage performance
• Search by Key Word or Subject Category
• Data available at different geographies
Education - Example
• Proportion of children who receive at least 5 GCSEs graded A* to C
CAUTION:
• Data often ‘lags’ real time
Source:
• Important to source the data correctly – Acknowledges the data supplier and helps you to re trace your steps!
• Title of Dataset, Year and Provider
Skills Data
• Office for National Statistics (ONS) www.statistics.gov.uk
• NOMIS www.nomisweb.co.uk
• Search using the Wizard or Advanced Query
• Examples – NVQ Qualifications, by working age population, economically active or those in employment, also splits by age group
Skills Data - Example
• Proportion of working age people who have no qualifications
CAUTION:
• Unfortunately constrained by the options available in the public domain
• The smaller the sample the more unreliable the data
• Some data is available on request
Skills Data – Other Sources
• Connexions and NEET data
• LSC http://www.lsc.gov.uk/regions/NorthWest/
• NESS 2007 Northwest Summary Report: http://www.lsc.gov.uk/regions/NorthWest/Aboutus/National+Employer+Skills+Survey+2007.htm
• Analyse NESS Data: http://researchtools.lsc.gov.uk/ness/home/home.asp
• HESA – Higher Educational Statistical Agency
• RIU Pocket Databank
Labour Market Data - definitions
• Employment rate – the proportion of a population that are in employment
- anyone who does at least one hour’s paid work
• Unemployment rate – generally use the ILO definition- those who haven’t got a job but would like a job as a the proportion of the labour
force
• Economic inactivity- Economically active persons are those, who are either in employment or
unemployed, the remainder of the population are economically inactive.
Labour Market Data - sources
• The Annual Population Survey (APS) - NOMIS- Easy to use with comprehensive coverage- 6-9 months old
• Labour Market Statistics - ONS - Very timely but most data is only available at a regional level- Less user friendly and time consuming for comparison
• Job seekers allowance - NOMIS and ONS- Timely proxy of unemployment at low geographical levels- Doesn’t capture all unemployment
Unemployment data Example
• The latest unemployment rates in Liverpool and Manchester now and a year ago
Points to consider:
• Due to small samples, unemployment is unavailable for some small districts
• Estimates of large groups or areas are robust
• The data is considerably lagged – latest data Sept 2008!
Labour Market Statistics - example
• Collecting the most timely JSA data and unemployment figures at a regional level
Points to consider:
• This is very timely
• Geographical disaggregation is poor
• The data not user friendly
Labour Market Data – points to consider
• Robust data- Confidence levels- Small samples- Timely data is often based off smaller samples – less robust- Look at proxies, JSA often used as a timely robust proxy
for unemployment
• Disaggregation- Can get employment data split by gender, occupation,
ethnicity, age, disability, self employment, full time, part time- Can mix these but need to be mindful of confidence levels- May need to use a high level of geography