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Data Provider: Welsh Government Experimental Statistics Average (mean and median) allowance amount received by local authority and allowance type
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Average[Filtered]
[Collapse]Sector[Filtered]
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Sector 1[Filter]
[Collapse]Sex[Filtered]
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Sex 1[Filter]
[Collapse]Tenure[Filtered]
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Tenure 1[Filter]
Year[Filtered]
Measure1
[Collapse]Allowance type[Filter]
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Allowance type 1
[Collapse]Local authority[Filter]
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Local authority 1
[Collapse]Total TLRTotal Teaching and Learning Responsibility paymentsClick here to sortTotal TLRTotal Teaching and Learning Responsibility payments[Expand]Click here to sortSENSpecial Educational Needs allowance
Click here to sortTLR 1Teaching and Learning Responsibility 1 paymentsClick here to sortTLR 2Teaching and Learning Responsibility 2 paymentsClick here to sortTLR 3Teaching and Learning Responsibility 3 paymentsClick here to sortTLR unknownSome local authorities unable to separate TLR 1 and TLR 2 payments in 2019 and 2020
[Collapse]WalesThere are four formal Education consortia in Wales covering: North Wales, South West and Mid Wales, Central South Wales, South East Wales.9,4414,1741,774.The data item is not applicable4,8302,837
WalesThere are four formal Education consortia in Wales covering: North Wales, South West and Mid Wales, Central South Wales, South East Wales.Isle of AngleseyNorth Wales9,0983,5391,620.The data item is not applicable3,997.The data item is not applicable
GwyneddNorth Wales9,6794,2542,122.The data item is not applicable4,8453,364
ConwyNorth Wales9,7994,3321,972.The data item is not applicable5,2462,673
DenbighshireNorth Wales10,6404,7372,678.The data item is not applicable5,6582,678
FlintshireNorth Wales10,1334,4551,742.The data item is not applicable5,0522,510
WrexhamNorth Wales9,3684,1641,814.The data item is not applicable4,7112,580
PowysSouth West and Mid Wales8,1083,6471,730.The data item is not applicable4,1772,491
CeredigionSouth West and Mid Wales9,6074,3752,894.The data item is not applicable5,8842,849
PembrokeshireSouth West and Mid Wales9,9554,4941,847.The data item is not applicable4,8212,662
CarmarthenshireSouth West and Mid Wales8,1563,8961,556.The data item is not applicable4,5112,473
SwanseaSouth West and Mid Wales8,8493,7001,119.The data item is not applicable4,0092,440
Neath Port TalbotSouth West and Mid Wales10,2214,4141,815.The data item is not applicable5,0352,921
BridgendCentral South Wales8,3214,6592,414.The data item is not applicable5,5523,330
Vale of GlamorganCentral South Wales9,9894,1871,967.The data item is not applicable4,9993,173
Rhondda Cynon TafCentral South Wales9,6513,9941,516.The data item is not applicable4,7732,421
Merthyr TydfilCentral South Wales9,3754,5282,284.The data item is not applicable5,0612,757
CaerphillySouth East Wales9,0344,1582,387.The data item is not applicable4,7603,327
Blaenau GwentSouth East Wales8,4393,6291,343.The data item is not applicable4,0491,872
TorfaenSouth East Wales10,7364,6051,876.The data item is not applicable5,0542,983
MonmouthshireSouth East Wales9,7714,1881,478.The data item is not applicable4,5162,010
NewportSouth East Wales8,5393,3711,142.The data item is not applicable4,2351,792
CardiffCentral South Wales10,6674,5741,906.The data item is not applicable5,1853,678

Metadata

Title

Average (mean and median) allowance amount received by local authority and allowance type

Last update

July 2023 July 2023

Next update

July 2024 (provisional)

Publishing organisation

Welsh Government

Source 1

School Workforce Annual Census

Contact email

EducationWorkforceData@gov.wales

Designation

Experimental statistics

Geographical coverage

Local authorities

Languages covered

English and Welsh

Data licensing

You may use and re-use this data free of charge in any format or medium, under the terms of the Open Government License - see http://www.nationalarchives.gov.uk/doc/open-government-licence

General description

The data covers different aspects of the school workforce in Wales, using the data collected from the School Workforce Annual Census (SWAC).

Keywords

SWAC; Teachers; Workforce; Allowance; TLR

Statistical quality

The information collected for 2019, 2020, 2021 and 2022 have not undergone a formal final validation period. However, various stages of automated validation and sense-checking are built into the process to ensure a high quality of data to inform policy making.