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On-street parking fines
leedscitycouncil/on-street-parking-fines
Data files that contain fines issued for unauthorised parked vehicles in on-street locations. The data contains date, time, location, fine issued, discount available, and total paid. Local Government Transparency Code 2015 This is a key dataset which the government wants local authorities to publish. https://www.gov.uk/government/publications/local-government-transparency-code-2015 Additional Info Please note, from Quarter 3 2014/15, on street parking fines data has been divided in to a fines issued dataset and fines paid dataset. Also, note the paid data may show fines issued outside the dated quarter but paid within the quarter. Definitions Issued - Date PCN was issued Fine - Initial full charge (does not include surcharges) Surcharges - If full payment not made within 56 days from the date the notice is issued the charge is further increased by 50% of the Initial charge. If the payment is still not made, within a further 14 days then a further charge may be applied if the case is registered at court. Charge level - H = High at £70.00/£35.00 discount. L = Low at £50.00/£25.00 discount. Discount - the charge if payment made within 14 days. Balance Amount outstanding at date of sample. A negative balance means an overpayment.
Leeds City Council
Yes
03/05/2022

Dataset renditions

Title Format Type Availability Active Schema
Quarter 3 - 2016/17 text/csv Data Yes
Quarter 4 - 2016/17 text/csv Data Yes
Quarter 4 - 2014/15 text/csv Data Yes
Quarter 4 2017/18 text/csv Data Yes
Quarter 4 - 2015/16 text/csv Data Yes
Quarter 2 - 2013/14 text/csv Data Yes
Quarter 4 2017/18 application/vnd.ms-excel Data Yes
Quarter 2 - 2017/18 text/csv Data Yes
Quarter 4 - 2013/14 text/csv Data Yes
Quarter 3 - 2013/14 text/csv Data Yes
Quarter 3 - 2014/15 text/csv Data Yes
Quarter 3 - 2017/18 text/csv Data Yes
Quarter 4 - 2015/16 text/csv Data Yes
Quarter 1 - 2017/18 text/csv Data Yes
Quarter 1 - 2014/15 text/csv Data Yes
Quarter 2 - 2015/16 text/csv Data Yes
Quarter 3 - 2017/18 text/csv Data Yes
Quarter 1 - 2017/18 text/csv Data Yes
Quarter 4 - 2014/15 text/csv Data Yes
Quarter 2 - 2017/18 text/csv Data Yes
Quarter 2 - 2016/17 text/csv Data Yes
Quarter 1 2018/19 text/csv Data Yes
Quarter 3 - 2015/16 text/csv Data Yes
Quarter 2 - 2014/15 text/csv Data Yes
Quarter 3 - 2014/15 text/csv Data Yes
Quarter 1 - 2016/17 text/csv Data Yes
Quarter 2 - 2015/16 text/csv Data Yes
Quarter 3 - 2015/16 text/csv Data Yes
Quarter 4 - 2016/17 text/csv Data Yes
Quarter 1 - 2015/16 text/csv Data Yes
Quarter 1 - 2016/17 text/csv Data Yes
Quarter 3 - 2016/17 text/csv Data Yes
Quarter 1 2018/19 text/csv Data Yes
Quarter 1 - 2015/16 text/csv Data Yes
Quarter 2 - 2016/17 text/csv Data Yes
Quarter 1 - 2013/14 text/csv Data Yes
Quarter 1 - 2020/21 text/csv Data Yes
Quarter 2 - 2018/19 text/csv Data Yes
Quarter 4 - 2019/20 text/csv Data Yes
Quarter 3 - 2018/19 text/csv Data Yes
Quarter 2 - 2019/20 text/csv Data Yes
Quarter 4 - 2018/19 text/csv Data Yes
Quarter 1 - 2019/20 text/csv Data Yes
Quarter 3 - 2019/20 text/csv Data Yes
Quarter 1 - 2020/21 text/csv Data Yes
Quarter 2 - 2018/19 text/csv Data Yes
Quarter 4 - 2018/19 text/csv Data Yes
Quarter 2 - 2019/20 text/csv Data Yes
Quarter 3 - 2019/20 text/csv Data Yes
Quarter 4 - 2019/20 text/csv Data Yes
Quarter 1 - 2019/20 text/csv Data Yes
Quarter 3 - 2018/19 text/csv Data Yes
Quarter 2 - 2020/21 text/csv Data Yes
Quarter 2 - 2020/21 text/csv Data Yes
Quarter 1 2021/22 text/csv Data Yes
Quarter 2 2021/22 text/csv Data Yes
Quarter 3 2021/22 text/csv Data Yes
Quarter 4 2021/22 text/csv Data Yes
Quarter 1 2021/22 text/csv Data Yes
Quarter 2 2021/22 text/csv Data Yes
Quarter 4 2021/22 text/csv Data Yes
Quarter 3 2021/22 text/csv Data Yes
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