Technical information
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Statistical efficiency
The table below shows the estimated effective sample size (neff) and corresponding design factor (deft) for the weights.
Read more about Statistical efficiencyOn average, the design factor due to weighting is about 1.39 – in other words the width of the confidence intervals around analyses of the corresponding data would be about 39% wider than would be the case if there were no weights.
However, some of the variance of the weights is due to the design of the study because smaller local authorities were over-sampled to obtain a minimum sample size. Also, the sample obtained in each month varied during the course of the year.
If we take the disproportionate sampling by local authority and differences in the sample size by month into account, then the average design factor is about 1.25.
Design effect
Weight name N Unadj NEFF Unadj DEFT Adj NEFF Adj DEFT wt_final_all 176326 90900 1.39 112138 1.25 wt_final_online 132388 68487 1.39 85741 1.24
Read less about Statistical efficiency -
Control totals
The control totals for the calibration consisted of 2023 ONS mid-year population estimates and national estimates from the Annual Population Survey Oct 2023-Sept 2024.
Read more about Control totalsThe following tables show the estimates for the control totals used for the weighting.
Note that we have not included the control totals for local authority, given the number of data points; however, we have included region.
Control totals used for the weighting by region
Highest education NE NW Y&TH EM WM EE Lon SE SW All Degree or equivalent 20.5% 26.0% 23.0% 23.3% 25.2% 26.5% 44.6% 29.6% 25.6% 28.7% Higher education 3.6% 4.0% 3.8% 4.1% 4.3% 3.3% 3.7% 3.8% 4.6% 3.9% GCE A level or equivalent 13.6% 12.8% 15.0% 13.7% 12.2% 13.1% 7.7% 12.8% 13.5% 12.4% GCSE grades A*-C or equivalent 12.1% 10.9% 11.3% 11.4% 10.8% 12.9% 6.0% 9.7% 10.5% 10.2% Other qualification 3.3% 4.1% 4.6% 5.2% 4.8% 4.3% 6.2% 4.1% 3.4% 4.6% No qual / DK 9.3% 6.1% 5.2% 5.1% 6.1% 3.8% 4.0% 3.5% 3.2% 4.8% Not 25 to 64 37.6% 36.1% 37.0% 37.3% 36.7% 36.1% 27.8% 36.4% 39.2% 35.5% Household size NE NW Y&TH EM WM EE Lon SE SW All One-person h/hold (16+) 17.6% 15.9% 14.9% 12.5% 14.7% 13.2% 14.8% 13.0% 15.1% 14.4% Other households (16+) 82.4% 84.1% 85.1% 87.5% 85.3% 86.8% 85.2% 87.0% 84.9% 85.6% Ethnic group NE NW Y&TH EM WM EE Lon SE SW All White (16+) 93.9% 87.3% 87.4% 86.8% 77.4% 88.4% 56.9% 87.4% 94.5% 82.5% Non-white (16+) 6.1% 12.7% 12.6% 13.2% 22.6% 11.6% 43.1% 12.6% 5.5% 17.5% Working status / gender NE NW Y&TH EM WM EE Lon SE SW All Males 16-74 FT 24.5% 26.6% 26.3% 26.9% 27.5% 28.4% 30.7% 28.1% 26.5% 27.7% Other males 16+ 24.2% 22.5% 22.8% 22.2% 21.7% 20.5% 19.1% 20.8% 22.3% 21.4% Females 16-74 FT 16.5% 18.5% 17.1% 17.5% 17.6% 18.4% 22.2% 18.5% 17.2% 18.5% Other females 16+ 34.8% 32.5% 33.9% 33.4% 33.2% 32.6% 28.0% 32.6% 33.9% 32.3% NS SEC NE NW Y&TH EM WM EE Lon SE SW All Managerial/
professional26.1% 29.6% 27.1% 27.6% 28.2% 32.2% 40.6% 34.2% 30.9% 31.8% Intermediate 8.0% 7.7% 7.7% 8.4% 7.8% 8.2% 6.7% 7.6% 7.1% 7.6% Self-employed and own account workers 4.5% 4.9% 5.3% 4.6% 4.4% 5.6% 6.1% 5.5% 6.1% 5.3% Lower supervisory/
technical3.8% 3.7% 3.9% 4.0% 3.8% 3.4% 2.6% 3.5% 3.5% 3.5% Semi routine and routine 15.1% 13.8% 15.6% 16.3% 15.0% 12.5% 9.6% 11.1% 12.6% 13.0% Never worked, LTE and students 15.4% 14.1% 13.9% 12.2% 14.1% 10.6% 15.8% 11.4% 10.4% 13.0% Unclassified 2.7% 3.0% 3.2% 2.7% 3.5% 2.8% 3.7% 2.6% 2.2% 3.0% 75+ 24.4% 23.2% 23.3% 24.2% 23.2% 24.7% 15.1% 24.2% 27.2% 22.8% Long-term health problem NE NW Y&TH EM WM EE Lon SE SW All Health problems 47.9% 45.8% 45.6% 44.6% 43.0% 43.5% 32.4% 43.0% 45.2% 42.6% None/missing 52.1% 54.2% 54.4% 55.4% 57.0% 56.5% 67.6% 57.0% 54.8% 57.4% Age / gender NE NW Y&TH EM WM EE Lon SE SW All Males 16-24 13.9% 13.4% 14.2% 13.7% 14.0% 12.1% 12.9% 12.8% 12.7% 13.2% Males 25-34 16.3% 17.0% 16.6% 15.8% 17.3% 15.6% 22.7% 15.2% 14.9% 17.1% Males 35-44 14.3% 15.3% 15.0% 14.7% 15.3% 16.0% 21.6% 15.8% 14.1% 16.2% Males 45-54 15.3% 16.1% 16.1% 16.3% 16.1% 16.7% 16.3% 17.0% 15.8% 16.3% Males 55-64 16.9% 16.1% 16.0% 16.3% 15.4% 16.1% 12.7% 16.3% 16.6% 15.6% Males 65-74 12.6% 12.4% 13.0% 14.9% 12.5% 13.5% 7.8% 13.4% 14.2% 12.4% Males 75+ 10.7% 9.8% 9.1% 8.4% 9.5% 10.0% 5.9% 9.5% 11.8% 9.2% Females 16-24 12.5% 12.5% 13.3% 12.5% 12.9% 10.9% 12.6% 11.6% 11.4% 12.2% Females 25-34 15.2% 16.0% 15.7% 15.0% 16.2% 14.9% 21.9% 14.3% 13.8% 16.2% Females 35-44 14.4% 15.1% 14.9% 14.8% 15.1% 15.9% 19.9% 15.9% 14.0% 15.9% Females 45-54 15.5% 16.1% 15.8% 16.3% 15.9% 16.5% 16.1% 16.8% 15.8% 16.2% Females 55-64 17.0% 16.2% 15.8% 16.2% 15.4% 16.0% 13.2% 16.0% 16.7% 15.6% Females 65-74 12.9% 13.3% 12.9% 15.2% 13.3% 14.8% 9.2% 14.3% 15.0% 13.3% Females 75+ 12.4% 10.9% 11.5% 9.9% 11.1% 11.0% 7.1% 11.1% 13.3% 10.7% Month NE NW Y&TH EM WM EE Lon SE SW All Jan 8.5% 8.5% 8.5% 8.5% 8.5% 8.5% 8.5% 8.5% 8.5% 8.5% Feb 7.7% 7.7% 7.7% 7.7% 7.7% 7.7% 7.7% 7.7% 7.7% 7.7% Mar 8.5% 8.5% 8.5% 8.5% 8.5% 8.5% 8.5% 8.5% 8.5% 8.5% Apr 8.2% 8.2% 8.2% 8.2% 8.2% 8.2% 8.2% 8.2% 8.2% 8.2% May 8.5% 8.5% 8.5% 8.5% 8.5% 8.5% 8.5% 8.5% 8.5% 8.5% Jun 8.2% 8.2% 8.2% 8.2% 8.2% 8.2% 8.2% 8.2% 8.2% 8.2% Jul 8.5% 8.5% 8.5% 8.5% 8.5% 8.5% 8.5% 8.5% 8.5% 8.5% Aug 8.5% 8.5% 8.5% 8.5% 8.5% 8.5% 8.5% 8.5% 8.5% 8.5% Sep 8.2% 8.2% 8.2% 8.2% 8.2% 8.2% 8.2% 8.2% 8.2% 8.2% Oct 8.5% 8.5% 8.5% 8.5% 8.5% 8.5% 8.5% 8.5% 8.5% 8.5% Nov 8.2% 8.2% 8.2% 8.2% 8.2% 8.2% 8.2% 8.2% 8.2% 8.2% Dec 8.5% 8.5% 8.5% 8.5% 8.5% 8.5% 8.5% 8.5% 8.5% 8.5%
Read less about Control totalsRegion Count % North East 2,273,357 4.8% North West 6,263,394 13.1% Yorkshire and The Humber 4,607,858 9.7% East Midlands 4,134,156 8.7% West Midlands 4,967,643 10.4% East 5,326,077 11.2% London 7,334,597 15.4% South East 7,837,243 16.4% South West 4,909,641 10.3% All 47,653,966 100%