02 Forecast accuracy AY201819
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Data set details
- Theme
- Pupils and schools
- Publication
- Local authority school places scorecards
- Release
- Reporting year 2019
- Release type
- Geographic levels
- Local authority, National
- Indicators
- Actual primary pupil numbers 2018/19
- Actual secondary pupil numbers 2018/19
- One year ahead primary forecast accuracy percentage
- Time period
- 2019
Data set preview
time_period | time_identifier | geographic_level | country_code | country_name | region_code | region_name | old_la_code | new_la_code | la_name | actual_primary_pupil_numbers_AY201819 | scap18_forecast_primary_pupil_numbers_on_roll_AY201819 | one_year_ahead_primary_forecast_accuracy_percentage | scap16_forecast_primary_pupil_numbers_on_roll_AY201819 | three_year_ahead_primary_forecast_accuracy_percentage | actual_secondary_pupil_numbers_AY201819 | scap18_forecast__secondary_pupil_numbers_on_roll_AY201819 | one_year_ahead_secondary_forecast_accuracy_percentage | scap16_forecast_secondary_pupil_numbers_on_roll_AY201819 | three_year_ahead_secondary_forecast_accuracy_percentage |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2019 | Reporting year | National | E92000001 | England | 4517464 | 4561554 | 1 | 4637791 | 2.7 | 2839889 | 2880425 | 1.4 | 2931623 | 3.2 | |||||
2019 | Reporting year | Local authority | E92000001 | England | E13000002 | Outer London | 301 | E09000002 | Barking and Dagenham | 25049 | 25759 | 2.8 | 27557 | 10 | 13656 | 13842 | 1.4 | 14943 | 9.4 |
2019 | Reporting year | Local authority | E92000001 | England | E13000002 | Outer London | 302 | E09000003 | Barnet | 30240 | 30534 | 1 | 31953 | 5.7 | 20540 | 21094 | 2.7 | 21062 | 2.5 |
2019 | Reporting year | Local authority | E92000001 | England | E12000003 | Yorkshire and The Humber | 370 | E08000016 | Barnsley | 20013 | 20063 | 0.2 | 19170 | -4.2 | 11484 | 11726 | 2.1 | 11482 | 0 |
2019 | Reporting year | Local authority | E92000001 | England | E12000009 | South West | 800 | E06000022 | Bath and North East Somerset | 12931 | 13241 | 2.4 | 13775 | 6.5 | 10946 | 11223 | 2.5 | 11437 | 4.5 |
Variables in this data set
Variable name | Variable description |
---|---|
actual_primary_pupil_numbers_201819 | Actual primary pupil numbers 2018/19 |
actual_secondary_pupil_numbers_201819 | Actual secondary pupil numbers 2018/19 |
one_year_ahead_primary_forecast_accuracy_percentage | One year ahead primary forecast accuracy percentage |
one_year_ahead_secondary_forecast_accuracy_percentage | One year ahead secondary forecast accuracy percentage |
scap16_forecast_primary_pupil_numbers_on_roll_201819 | Scap16 forecast primary pupil numbers on roll 2018/19 |
Footnotes
- Accuracy figures for Isles Of Scilly not presented in the Scorecard due to its small relative size. Positive percentages denote an overforecast. Negative percentages denote an underforecast.
- : - Indicates data is not available.
- Secondary Data for City of London are not applicable (apart from preference).
- Dorset (838) and Bournemouth, Christchurch and Poole (839) are new local authorities following changes to LA boundaries in this region in April 2019. Note that Dorset (838) is not directly comparable to pre-LGR 2019 Dorset (835). Data is shown where available for these new local authorities i.e. 2019 capacity. Where data is not available i.e. 2010 capacity, the data for Pre-LGR 2019 Bournemouth, Pre-LGR 2019 Poole and Pre-LGR 2019 Dorset, if available is shown for information, although the data is not directly comparable with the new local authorities. Quality data is available for Dorset (838) and Bournemouth, Christchurch and Poole (839) and compares the schools in these local authorities to the comparable schools which were under the Pre-LGR local authorities to work out existing/new school places. The new places do NOT reflect places in schools new to the local authority due to the 2019 boundary changes.
- Accuracy figures for City of London and Isles Of Scilly not presented in the Scorecard due to their small relative size. Positive percentages denote an overforecast. Negative percentages denote an underforecast.
- z - Indicates data is not applicable
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